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    一种相变储能刹车盘的制备方法

    126211100820A
    发明人
    强琪, 张卓, 刘海平, 赵瑞全, 段妮
    受让人
    XI AN AVIAT BRAKE TECH CO LTD
    申请人
    Alibaba Group Holding Limited
    申请号
    031010
    申请日
    1980-06-26
    公开(公告)号
    126211100820A
    公开(公告)日
    2012-09-10
    IPC分类号
    G06F017/00
    CPC分类号
    -
    优先权号
    000877
    优先权日
    2009-05-27
    摘要

    NOVELTY - Modulation (M1) of cell proliferation comprising contacting a cell with an agent that modulates the expression of a TRADEalpha polypeptide or a TRADEbeta polypeptide and modulating cell proliferation, is new.

    USE - The modulation of cell proliferation comprising the administering of a peptide which modulates expression or activity of a TRADE family peptide is useful for the treatment of a proliferative disorder (claimed). The disorder is inflammation or neoplasia (claimed). The neoplasia is a carcinoma or adenocarcinoma (claimed). The neoplasia is present in lung or prostate tissue.

    DETAILED DESCRIPTION - INDEPENDANT CLAIMS are included fro the following:

    (1) modulation (M1) of cell proliferation comprising contacting a cell with an agent that modulates the activity of a TRADEalpha polypeptide or a TRADEbeta polypeptide and modulating cell proliferation;

    (2) treatment of a subject having a disorder that benefits from modulating the activity or expression of a TRADEalpha polypeptide or a TRADEbeta polypeptide; and

    (3) detecting a TRADE associated disorder.

    权利要求
    1. A computerized system for calculating, multiply arraying and transforming into graphical illustrations a population universe of privately held and publicly traded database information, the system comprising: at least one database configured to receive information, said information consisting of: current and historical stock price data; current and historical stock performance analytics data, ratios and measures; current and historical stock technical analysis data, ratios and measures; current, historical and estimated future underlying operating corporate balance sheet and income statement fundamental data, ratios and measures; current, historical and estimated future micro economic data, ratios and measures; and, derived corporate fundamental, operating, technical, stock performance, and stock analysis data, ratios and measures; at least one computer, or one server computer, and at least one client computer operably coupled to said at least one server computer via a network or the Internet; at least one database organized into a custom proprietary database template structure configured to store, identify, organize, calculate and phase stocks/securities data; an interactive manual method module for entering required financial data into a proprietary custom database template to provide the data required to build the library of initial company specific financial database information for each publicly or privately held company to be stored, accessed and analyzed within the database; an automated script method module for remotely accessing required data via a data mining/handshake data capture and automated entry method which automatically populates the proprietary custom template required to build the library of initial company specific financial database information from publicly or privately available sources, or from outside data providers for each publicly or privately held company to be stored, accessed, calculated, synthesized, extrapolated, and analyzed within the database; at least one matrix module for proprietary calculating, synthesizing, extrapolating additional custom data, and phasing variable database information for analytical purposes pursuant to a set of preset standards; at least one module for calculating a set of selectable data, visualization and performance parameters pursuant to a set of preset standards; at least one graphical interface handshake module to fetch and load selected multiply arrayed database information into a proprietary graphic image formation engine; at least one graphic engine handshake module template for transforming calculation results of said calculation module into an array suitable to be transformed into custom generated graphical illustrations; at least one graphic creation engine module to interpolate loaded template data and construct preformatted custom format charts and graphs per proprietary graphical standards to create pattern recognition higher level visual language of expression images within a wide variety of low to high level language distributable screen, print and network application outputs; a graphic engine module to define and locate each element within its own layer expressed within the graphic engine module; at least one advanced programming module to enable independently animated layer specific characteristics, such as color schemes, textures, symbols, font size, line strength and interrelated visual effects within the construct of a wide variety of low to high level language distributable screen, print and network application outputs; a complex programming module to solve vertical and horizontal size and scaling, element spacing and data density perspective issues employing proprietary algorithms to optimally calculate and convey multiply arrayed database information within the construct of a branded newer higher level pattern recognition graphical visual language model designed to optimally illustrate superimposed combinations of fundamental analysis stock market analytics variables, operating and performance measures, and stock price movement within a single graphic image; a custom programming module to calculate, multiply phase and enable user activated controls to manually adjust length of time period as well as to enable independent element based phasing/vertical and horizontal/data density perspective relationship adjustments contained within each variable layer as expressed within the construct of a wide variety of low to high level language distributable screen, print and network application outputs; at least one automated periodic fetch and refresh, update and replace company specific data module; at least one graphical user interface module from which a user may send an inquiry to said at least one server computer and be returned with a set of graphical illustrations on inquired stock performance analytics; at least one module for user controls; at least one module for interactive use dialogue logic loop of applications; wherein said stocks data is available to be juxtaposed and graphed; wherein said at least one database is operative to extrapolate additional data required to synchronize variably expressed time periods; wherein said inquiry is one or more symbols, each of which being representative of a unique stock.
    2. The system of claim 1 , wherein said stocks data comprises: historical and current stock price; categorized data of balance sheet; categorized data of income sheet; categorized data of operating and performance ratios and analytics; and categorized custom derived data.
    3. The system of claim 1 , wherein said set of preset standards comprises: stock performance and analytics of an individual company; comparison of stock performances and analytics of a number of selected companies; comparison of stock performances and analytics of a selected industry, index, and portfolio grouping.
    4. The system of claim 3 , wherein said selectable data, visualization and performance parameters comprises: cumulative growth comparisons; quarterly rates of change; variable period continuous rates of change; 50-year, since inception, or custom selected period of continuous market change; continuous and/or periodic compound rate of growth; continuous and/or periodic dynamic range of movement; stock, index, mutual fund or portfolio summary report; stock universe spreadsheet summary; company specific snapshot summary; single company, index, mutual fund or portfolio two-dimensional scatter gram of combinations of key variables; and preselected custom combinations of variables of two more companies stored in said at least one database.
    5. The system of claim 1 , wherein set of graphical illustrations comprises: a progression of data points which superimposes combinations of key variables over a single vertical cumulative percentage scale and a horizontal time scale; a continuous line which superimposes combinations of key variables over a single vertical cumulative percentage scale and a horizontal time scale; a progression of data points which superimposes key continuous, year over year quarterly or periodic expression of variables over a single vertical cumulative percentage scale and a horizontal time scale; a continuous line which superimposes key continuous, year over year quarterly expression of variables over a single vertical cumulative percentage scale and a horizontal time scale; a continuous line which superimposes key continuous, year over year quarterly of expression of variables which can be stated variously pursuant to the user selected data series; a continuous line of data points custom horizontal line graph which plots index year over year price comparison of market movement over long time periods; a continuous line of data points custom compounded rate of growth horizontal line graph which superimposes continuous and quarter end compounded values of key variables; a continuous line of data points custom dynamic range of movement variable period rate of change horizontal line graph which superimposes key continuous and year over year quarterly expression of variables; a color coded horizontal line graph chart which indicates short and intermediate term price movement; and X/Y scattergram chart pattern graphs with color coded x/y vector data point scattergram labels which can be expressed as alphabetical stock symbol labels such as IBM or variable acronym labels such as P/E or EPS for single company, index, mutual fund or portfolio two-dimensional scatter gram of combinations of key variables; and company specific multiple page composite report containing preformatted elements of text, data tables and graphs in pre-selected combinations featuring the proprietary custom graphic illustrations.
    6. A computerized system for creating an additional layer of synthesized database development for calculating, multiply arraying, storing, and transforming into graphical illustrations a population universe of privately held and publicly traded database information, the system comprising: at least one computer, or one server computer, or at least one client computer operably coupled to said at least one server computer via a network or the Internet; at least one database organized into a custom proprietary database template structure suitable for storing, identifying, organizing, calculating, and phasing pro-rata composite combinations of stocks/securities data; at least one database template module to manufacture and access the desired data; at least one interactive template module to allow the user to identify and select the desired custom portfolio of stock symbols, index, exchange traded fund or mutual fund; at least one module to reference, fetch, assemble, store, organize and calculate a new multi-company synthetic security layer of database information which references the data contained from the already stored master database of all companies stored; at least one assembly module to fetch the selected basic and improved data contained within the individual company files for each component company required and assemble the desired prorate combination of companies file for calculation purposes contained within the portfolio, index, exchange traded fund or mutual fund into a synthetic security master template file; at least one module to hotlink the cells so that auto refresh occurs with changes to the underlying individual companies include in the selected portfolio, index, industry, exchange traded fund or mutual fund summary description; at least one module to create the required new synthetic security file which calculates the pro-rata percentage contribution of each component contained in the portfolio, index, exchange traded fund or mutual fund security; applies proprietary pro-rata blending and phasing algorithms to standardize the selected database information; calculates the newly constructed summary file which has assembled the required simulated security data for the composite representation; and, saves the file as a new composite security; an automated script method module for accessing the required data via data mining/handshake data capture and automated entry method which automatically populates the proprietary custom template required to build the library of specific financial database information of publicly or privately available sources, for each publicly or privately held company to be stored, accessed, calculated, synthesized, extrapolated, and analyzed within the database; at least one matrix module for proprietary calculating, synthesizing, extrapolating additional custom data, and phasing variable database information for analytical purposes pursuant to a set of preset standards; at least one module for calculating a set of selected performance parameters pursuant to a set of preset standards; at least one graphical interface handshake module to fetch and load selected multiply arrayed database information into the proprietary graphic image formation engine; at least one graphic engine handshake module template for transforming calculation results of said calculation module into an array suitable to be transformed into custom generated graphical illustrations; at least one graphic creation engine module to interpolate loaded template data and construct preformatted custom format charts and graphs per proprietary graphical standards to create pattern recognition higher level visual language of expression images within a range low to high level language distributable screen, print and network application output; a graphic engine module to define and locate each element within its own layer expressed within the graphic engine module; an advanced programming graphic engine module to enable independently animate layer specific characteristics including colors schemes, textures, symbols, font size, line strength and related visual effects within the construct of a range of low to high level language distributable screen, print and network application output a complex programming module to solve vertical and horizontal size and scaling, and data density perspective issues employing proprietary algorithms to optimally calculate and multiply arrayed database information within the construct of a branded newer higher level pattern recognition graphical visual language model designed to best illustrate superimposed combinations of fundamental analysis stock market analytics variables, operating and performance measures, and stock price movement within a single graphic image; a custom programming module to calculate, multiply phase and enable user activated controls to manually adjust length of time period as well as to enable independent element based phasing/vertical and horizontal/data density perspective relationship adjustments contained within each variable layer as expressed within the construct of a range of low to high level language distributable screen, print and network application output; automated periodic fetch and refresh, update & replace company specific data module; a graphical user interface module from which a user may send an inquiry to said at least one server computer and be returned with a set of graphical illustrations on inquired stock performance analytics; a module for user controls; a module for interactive use dialogue logic loop of the application; wherein said stocks data is available to be juxtaposed and graphed; and wherein said at least one database is configured to extrapolate additional data required to synchronize variably expressed time periods; wherein said inquiry is one or more symbols, each of which being representative of a unique stock, index, mutual fund, or exchange traded fund; wherein said at least one database is updatable manually by the user; and an automated data mining script or graphical handshake module that interfaces with an outside data service that periodically updates said at least one database.
    7. The system of claim 6 , wherein said stocks data comprises: historical and current stock price; categorized data of balance sheet; categorized data of income sheet; categorized data of operating and performance ratios and analytics; and categorized custom derived data.
    8. The system of claim 6 , wherein said set of preset standards comprises: stock performance and analytics of an individual company; comparison of stock performances and analytics of a number of selected companies; comparison of stock performances and analytics of a selected industry, index, and portfolio grouping.
    9. The system of claim 6 , wherein said set of selectable data and visualization parameters comprises: cumulative growth comparisons; quarterly rates of change; variable period continuous rates of change; 50-year, since inception, or custom selected period of continuous market change; continuous and/or periodic compound rate of growth; continuous and/or periodic dynamic range of movement; stock, index, mutual fund or portfolio summary report; stock universe spreadsheet summary; company specific snapshot summary; single company, index, mutual fund or portfolio two-dimensional scattergram of combinations of key variables; and preselected or custom combinations of variables of two more companies stored in said at least one database.
    10. The system of claim 6 , wherein said set of graphical illustrations comprises: a progression of data points which superimposes combinations of key variables over a single vertical cumulative percentage scale and a horizontal time scale; a continuous line which superimposes combinations of key variables over a single vertical cumulative percentage scale and a horizontal time scale; a progression of data points which superimposes key continuous, year over year quarterly or periodic expression of variables over a single vertical cumulative percentage scale and a horizontal time scale; a continuous line which superimposes key continuous, year over year quarterly expression of variables over a single vertical cumulative percentage scale and a horizontal time scale; a continuous line which superimposes key continuous, year over year quarterly of expression of variables which can be stated variously pursuant to the user selected data series; a continuous line of data points custom horizontal line graph which plots index year over year price comparison of market movement over long time periods; a continuous line of data points custom compounded rate of growth horizontal line graph which superimposes continuous and quarter end compounded values of key variables; a continuous line of data points custom dynamic range of movement variable period rate of change horizontal line graph which superimposes key continuous and year over year quarterly expression of variables; a color coded horizontal line graph chart which indicates short and intermediate term price movement; X/Y scattergram chart pattern graphics with color coded x/y vector data point scattergram labels which can be expressed as alphabetical stock symbol labels such as IBM or variable acronym labels such as P/E or EPS for single company, index, mutual fund or portfolio two-dimensional scatter gram of combinations of key variables; and company specific multiple page composite report containing preformatted elements of text, data tables and graphs in pre-selected combinations featuring the proprietary custom graphic illustrations.
    11. A computer implemented method of calculating, multiply arraying and transforming into graphical illustrations a population universe of privately held and publicly traded database information, the method comprising: at least one computer, or one server computer, or at least one client computer operably coupled to said at least one server computer via a network or the Internet; at least one database organized into a custom proprietary database template structure configured for storing, identifying, organizing, calculating, and phasing pro-rata composite combinations of stocks/securities data; at least one database template module to manufacture and access the desired data; at least one module to create the required new synthetic security file; accessing the required data via data mining/handshake data capture and automated entry method which automatically populates the proprietary custom template required to build the library of specific financial database information of publicly or privately available sources, for each publicly or privately held company to be stored, accessed, calculated, synthesized, extrapolated, and analyzed within the database; calculating, synthesizing, extrapolating additional custom data, and phasing variable database information for analytical purposes pursuant to a set of preset standards; calculating a set of selectable data, visualization and performance parameters pursuant to a set of preset standards; retrieving and loading selected multiply arrayed database information into the proprietary graphic image formation engine; transforming calculation results of said calculation module into an array suitable to be transformed into custom generated graphical illustrations; interpolating loaded template data and constructing preformatted custom format charts and graphs per proprietary graphical standards to create pattern recognition higher level visual language of expression images within a range low to high level language distributable screen, print and network application output; defining and locating each element within its own layer expressed within the graphic engine module; enabling independently animate layer specific characteristics including colors schemes, textures, symbols, font size, line strength and related visual effects within the construct of a range of low to high level language distributable screen, print and network application output; solving vertical and horizontal size and scaling, and data density perspective issues employing proprietary algorithms to optimally calculate and best convey multiply arrayed database information within the construct of a branded newer higher level pattern recognition graphical visual language model designed to best illustrate superimposed combinations of fundamental analysis stock market analytics variables, operating and performance measures, and stock price movement within a single graphic image; calculating, multiply phasing and enabling user activated controls to manually adjust length of time period as well as to enable independent element based phasing/vertical and horizontal/data density perspective relationship adjustments contained within each variable layer as expressed within the construct of a range of low to high level language distributable screen, print and network application output; automated periodic fetch and refresh, update & replace company specific data module; a graphical user interface module from which a user may send an inquiry to said at least one server computer and be returned with a set of graphical illustrations on inquired stock performance analytics; a module for user controls; a module for interactive use dialogue logic loop of the application; wherein said stocks data is available to be juxtaposed and graphed; and wherein said at least one database is operative to extrapolate additional data required to synchronize variably expressed time periods; designing and standardizing a template module to manufacture and access desired data; creating user interactive template module to allow the user to identify and select a desired custom portfolio of stock symbols, index, exchange traded fund or mutual fund; creating a new module to reference, fetch, assemble, store, organize and calculate a new multi-company synthetic security layer of database information which references data contained from a master database of company information stored and combine it in the appropriate pro-rata fashion in order to build composite information; retrieving basic and improved data contained within individual company files for each component company required to assemble the desired prorate combination of companies file for calculation purposes contained within a portfolio, index, exchange traded fund or mutual fund and insert into the synthetic security master template file; hot-linking database cells containing data so that auto refresh occurs with changes to the underlying data; creating a portfolio, index, industry, exchange traded fund or mutual fund summary description; designing the module to create a new synthetic security file; calculating the pro-rata % contribution of each component contained in the portfolio, index, exchange traded fund or mutual fund security; applying proprietary pro-rata blending and phasing algorithms to standardize the selected database information; calculating the newly constructed summary file which has assembled the required simulated security data for the composite representation; saving the file as a new composite security; refining the company specific database to create a new phased array higher level of database function; applying custom algorithm formulas to derive industry standard ratios and additional measurement function data; applying financial measurement standards; applying custom calculation and phasing algorithms to unify daily, weekly, monthly and quarterly time period data for illustration comparison purposes; applying custom algorithms to unify the scaling of data to enable the data to be superimposed within a single scale graph; multiply phasing the company specific database to unify the database, to allow for real time shifts of historical, current and forward looking stock perspectives for fair market value evaluation purposes; conveying data calculations and results within the confines of a single optimized graph for fundamental analysis visualization purposes; applying custom algorithms to solve vertical and horizontal scaling issues to automatically create optimal size and scale of element spacing and data concentration, to convey a high level of content and graphic perspective for each company in the database; developing a digital handshake to automatically import data into the pre-programmed vector graphics engine application program; defining and locating each element within its own layer to enable independent animation effects; employing vector graphics to enhance pattern recognition of complex tabular data; developing a graphic creation engine module to interpolate loaded template data and construct preformatted custom format charts and graphs per proprietary graphical standards to create pattern recognition higher level visual language of expression of images and print functions within a range of low to high level language, for print and network distributable outputs; creating an interface module to provide user with interactive access and application controls; distributing over a local PC application, via a network computer or as an internet based application; wherein said at least one database is updatable manually by the user; and an automated data mining script or graphical handshake module that interfaces with an outside data service that periodically updates said at least one database.
    12. The method of claim 11 , wherein said stocks data comprises: historical and current stock price; categorized data of balance sheet; categorized data of income sheet; categorized data of operating and performance ratios and analytics; and categorized custom derived data.
    13. The method of claim 11 , wherein said set of graphic illustrations comprises: a progression of data points which superimposes combinations of key variables over a single vertical cumulative percentage scale and a horizontal time scale; a continuous line which superimposes combinations of key variables over a single vertical cumulative percentage scale and a horizontal time scale; a progression of data points which superimposes key continuous, year over year quarterly or periodic expression of variables over a single vertical cumulative percentage scale and a horizontal time scale; a continuous line which superimposes key continuous, year over year quarterly expression of variables over a single vertical cumulative percentage scale and a horizontal time scale; a continuous line which superimposes key continuous, year over year quarterly of expression of variables which can be stated variously pursuant to the user selected data series; a continuous line of data points custom horizontal line graph which plots index year over year price comparison of market movement over long time periods; a continuous line of data points custom compounded rate of growth horizontal line graph which superimposes continuous and quarter end compounded values of key variables; a continuous line of data points custom dynamic range of movement variable period rate of change horizontal line graph which superimposes key continuous and year over year quarterly expression of variables; a color coded horizontal line graph chart which indicates short and intermediate term price movement; and X/Y scattergram chart pattern graphs with color coded x/y vector data point scattergram labels which can be expressed as alphabetical stock symbol labels such as IBM or variable acronym labels such as P/E or EPS for single company, index, mutual fund or portfolio two-dimensional scatter gram of combinations of key variables; and company specific multiple page composite report containing preformatted elements of text, data tables and graphs in pre-selected combinations featuring the proprietary custom graphic illustrations.
    14. The method of claim 11 , wherein said set of selectable data, and visualization parameters comprises: cumulative growth comparisons; quarterly rates of change; variable period continuous rates of change; 50-year, since inception, or custom selected period of continuous market change; continuous and/or periodic compound rate of growth; continuous and/or periodic dynamic range of movement; stock, index, mutual fund or portfolio summary report; stock universe spreadsheet summary; company specific snapshot summary; single company, index, mutual fund or portfolio two-dimensional scatter gram of combinations of key variables; and preselected custom combinations of variables of two more companies stored in said at least one database.
    15. The method of claim 11 , wherein said set of preset standards comprises: stock performance and analytics of an individual company; comparison of stock performances and analytics of a number of selected companies; comparison of stock performances and analytics of a selected industry, index, and portfolio grouping.
    说明书
    [0001]技术领域
    [0002]本公开涉及煤矿开采技术领域,具体涉及一种综采工作面远距离供电大负载自动稳压调压方法。
    [0003]背景技术
    [0004]现代化矿井通常采用大负载设备进行机械化作业,其装机容量大,供电距离也相应加长,只有确保综采工作面的供电质量才能使保证综采工作面的正常运行。
    [0005]相关技术中,在综采工作面的负载启动和与运行过程中无法保证电力系统电压稳定,影响电力系统安全性。
    [0006]发明内容
    [0007]本公开旨在至少在一定程度上解决相关技术中的技术问题之一。
    [0008]为此,本公开的目的在于提出一种综采工作面远距离供电大负载自动稳压调压方法、装置、计算机设备和存储介质,能够对有载调压设备的输出电压进行灵活调节,以实现对综采工作面电力系统电压波动的自动补偿,可以提高系统的适应性和稳定性,从而确保综采工作面电力系统的安全运行。
    [0009]为达到上述目的,本公开第一方面实施例提出的综采工作面远距离供电大负载自动稳压调压方法,应用于有载调压设备,所述有载调压设备与负载电性相连,该方法包括:
    [0010]确定所述负载的工作状态;
    [0011]根据所述工作状态计算所述负载的实时工作电压,以及所述有载调压设备的调压比;
    [0012]确定所述实时工作电压与负载额定工作电压的初始比值;
    [0013]根据所述工作状态和所述初始比值对所述调压比进行调整。
    [0014]为达到上述目的,本公开第二方面实施例提出的综采工作面远距离供电大负载自动稳压调压装置,应用于有载调压设备,所述有载调压设备与负载电性相连,该装置包括:
    [0015]第一确定模块,用于确定所述负载的工作状态;
    [0016]计算模块,用于根据所述工作状态计算所述负载的实时工作电压,以及所述有载调压设备的调压比;
    [0017]第二确定模块,用于确定所述实时工作电压与负载额定工作电压的初始比值;
    [0018]调整模块,用于根据所述工作状态和所述初始比值对所述调压比进行调整。
    [0019]本公开第三方面实施例提出的计算机设备,包括:存储器、处理器及存储在存储器上并可在处理器上运行的计算机程序,所述处理器执行所述程序时实现如本公开第一方面实施例提出的综采工作面远距离供电大负载自动稳压调压方法。
    [0020]本公开第四方面实施例提出了一种非临时性计算机可读存储介质,其上存储有计算机程序,该程序被处理器执行时实现如本公开第一方面实施例提出的综采工作面远距离供电大负载自动稳压调压方法。
    [0021]本公开第五方面实施例提出了一种计算机程序产品,当所述计算机程序产品中的指令由处理器执行时,执行如本公开第一方面实施例提出的综采工作面远距离供电大负载自动稳压调压方法。
    [0022]本公开提供的综采工作面远距离供电大负载自动稳压调压方法、装置、计算机设备和存储介质,通过确定负载的工作状态;根据工作状态计算负载的实时工作电压,以及有载调压设备的调压比;确定实时工作电压与负载额定工作电压的初始比值;根据工作状态和初始比值对调压比进行调整,由此,能够对有载调压设备的输出电压进行灵活调节,以实现对综采工作面电力系统电压波动的自动补偿,可以提高系统的适应性和稳定性,从而确保综采工作面电力系统的安全运行。
    [0023]本公开附加的方面和优点将在下面的描述中部分给出,部分将从下面的描述中变得明显,或通过本公开的实践了解到。
    [0024]附图说明
    [0025]本公开上述的和/或附加的方面和优点从下面结合附图对实施例的描述中将变得明显和容易理解,其中:
    [0026]图1是本公开一实施例提出的综采工作面远距离供电大负载自动稳压调压方法的流程示意图;
    [0027]图2是本公开另一实施例提出的综采工作面远距离供电大负载自动稳压调压方法的流程示意图;
    [0028]图3是本公开另一实施例提出的综采工作面远距离供电大负载自动稳压调压方法的流程示意图;
    [0029]图4是根据本公开提出的有载调压设备自动稳压调压算法逻辑示意图;
    [0030]图5是本公开一实施例提出的综采工作面远距离供电大负载自动稳压调压装置的结构示意图;
    [0031]图6示出了适于用来实现本公开实施方式的示例性计算机设备的框图。
    [0032]具体实施方式
    [0033]下面详细描述本公开的实施例,所述实施例的示例在附图中示出,其中自始至终相同或类似的标号表示相同或类似的元件或具有相同或类似功能的元件。下面通过参考附图描述的实施例是示例性的,仅用于解释本公开,而不能理解为对本公开的限制。相反,本公开的实施例包括落入所附加权利要求书的精神和内涵范围内的所有变化、修改和等同物。
    [0034]图1是本公开一实施例提出的综采工作面远距离供电大负载自动稳压调压方法的流程示意图。
    [0035]其中,需要说明的是,本实施例的综采工作面远距离供电大负载自动稳压调压方法的执行主体为综采工作面远距离供电大负载自动稳压调压装置,该装置可以由软件和/或硬件的方式实现,该装置可以配置在计算机设备中,计算机设备可以包括但不限于终端、服务器端等。
    [0036]如图1所示,该综采工作面远距离供电大负载自动稳压调压方法,应用于有载调压设备,有载调压设备与负载电性相连,方法包括:
    [0037]S101:确定负载的工作状态。
    [0038]其中,负载,可以是指综采工作面中消耗电能的设备、机器或系统。例如可以是指采煤机或输送机等,对此不做限制。
    [0039]其中,工作状态,可以被用于描述负载当前所处的工作阶段,例如可以是待机状态、启动状态、运行状态、关闭状态等。
    [0040]可以理解的是,当负载处于不同的工作状态时,电力系统中的电压波动特征可能存在差异,因此,本公开实施例中,当确定负载的工作状态时,可以为后续进行稳压调压操作提供可靠的参考信息。
    [0041]S102:根据工作状态计算负载的实时工作电压,以及有载调压设备的调压比。
    [0042]其中,实时工作电压,可以是指在上述工作状态时对应的负载端电压。
    [0043]其中,调压比,可以是指有载调压设备在有负载连接的情况下,输出端的电压与输入端的电压之比。
    [0044]本公开实施例中,当根据工作状态计算负载的实时工作电压,以及有载调压设备的调压比时,可以为后续进行稳压调压提供可靠的数据支持。
    [0045]S103:确定实时工作电压与负载额定工作电压的初始比值。
    [0046]其中,初始比值,可以是指实时工作电压与负载额定工作电压的比值。
    [0047]本公开实施例中,当确定实时工作电压与负载额定工作电压的初始比值时,该初始比值可以表征上述实时工作电压对负载的适用情况,从而为后续对调压比进行调整提供可靠的执行依据。
    [0048]S104:根据工作状态和初始比值对调压比进行调整。
    [0049]本公开实施例中,在根据工作状态和初始比值对调压比进行调整时,可以是将工作状态和初始比值输入至预训练的机器学习模型中,以得到电压调整值,而后根据该电压调整值对调压比进行调整,或者,还可以基于预先配置的关系表根据工作状态和初始比值对调压比进行调整,对此不做限制。
    [0050]本实施例中,通过确定负载的工作状态;根据工作状态计算负载的实时工作电压,以及有载调压设备的调压比;确定实时工作电压与负载额定工作电压的初始比值;根据工作状态和初始比值对调压比进行调整,由此,能够对有载调压设备的输出电压进行灵活调节,以实现对综采工作面电力系统电压波动的自动补偿,可以提高系统的适应性和稳定性,从而确保综采工作面电力系统的安全运行。
    [0051]可选的,一些实施例中,在根据工作状态和初始比值对调压比进行调整之后,可以确定新的实时工作电压和新的调压比,确定新的实时工作电压与负载额定工作电压的实时比值,根据工作状态和实时比值对新的调压比进行调整,由此,可以实现对有载调压设备对应调压比额动态调整,以适应于个性化的应用场景,提升电力系统的鲁棒性和安全性。
    [0052]图2是本公开另一实施例提出的综采工作面远距离供电大负载自动稳压调压方法的流程示意图。
    [0053]如图2所示,该综采工作面远距离供电大负载自动稳压调压方法,包括:
    [0054]S201:确定负载的工作状态,其中,工作状态是启动状态。
    [0055]其中,启动状态,可以是指负载由关闭转为运行的中间状态。举例而言,负载开始启动之后的1分钟时间内,该负载处于启动状态。
    [0056]S202:动态监测有载调压设备的输入电压、输出电压和二次侧电流。
    [0057]本公开实施例中,当动态监测有载调压设备的输入电压、输出电压和二次侧电流时,可以为后续计算实时工作电压和调压比提供有载调压设备侧的数据支持。
    [0058]S203:确定有载调压设备到负载间供电电缆的长度值,以及供电电缆在井下工作温度条件下的单位长度电阻。
    [0059]本公开实施例中,当确定有载调压设备到负载间供电电缆的长度值,以及供电电缆在井下工作温度条件下的单位长度电阻时,可以为后续计算实时工作电压提供供电电缆侧的数据支持。
    [0060]S204:根据输出电压、二次侧电流、单位长度电阻、长度值和负载的功率因数,计算确定实时工作电压。
    [0061]本公开实施例中,当根据输出电压、二次侧电流、单位长度电阻、长度值和负载的功率因数,计算确定实时工作电压时,可以有效结合有载调压设备、供电电缆以及负载的相关参数,以有效提升所得实时工作电压的准确性。
    [0062]S205:根据输入电压和输出电压,计算确定调压比。
    [0063]即是说,本公开实施例中在确定负载的工作状态是启动状态时,可以动态监测有载调压设备的输入电压、输出电压和二次侧电流,确定有载调压设备到负载间供电电缆的长度值,以及供电电缆在井下工作温度条件下的单位长度电阻,根据输出电压、二次侧电流、单位长度电阻、长度值和负载的功率因数,计算确定实时工作电压,根据输入电压和输出电压,计算确定调压比,由此,可以有效结合有载调压设备、供电电缆以及负载的相关参数,以有效提升所得实时工作电压和调压比的准确性。
    [0064]S206:确定实时工作电压与负载额定工作电压的初始比值。
    [0065]S206的描述说明可以具体参见上述实施例,在此不再赘述。
    [0066]S207:如果初始比值大于或等于第一阈值,则控制有载调压设备保持调压比。
    [0067]其中,第一阈值,可以是指针对负载启动状态下实时工作电压与负载额定工作电压的初始比值所配置的门限值,其具体取值可以根据应用场景进行灵活配置,例如可以取0.8,或者,还可以是其他任意值,对此不做限制。
    [0068]本公开实施例中,当初始比值大于或等于第一阈值时,负载的实时工作电压可以满足其启动需求,因此无须进行调整,可以控制有载调压设备保持调压比。
    [0069]S208:如果初始比值小于第一阈值,则控制有载调压设备提高调压比。
    [0070]本公开实施例中,当初始比值小于第一阈值时,负载的实时工作电压不能满足其启动需求,因此可以控制有载调压设备提高调压比,以提升负载的实时工作电压。
    [0071]即是说,本公开实施例中在确定实时工作电压与负载额定工作电压的初始比值之后,如果初始比值大于或等于第一阈值,则控制有载调压设备保持调压比,如果初始比值小于第一阈值,则控制有载调压设备提高调压比,由此,可以在负载处于启动状态时基于初始比值和第一阈值的对比结果灵活对调压比进行调整,以提升负载在启动状态下的电力需求。
    [0072]本实施例中,通过在确定负载的工作状态是启动状态时,可以动态监测有载调压设备的输入电压、输出电压和二次侧电流,确定有载调压设备到负载间供电电缆的长度值,以及供电电缆在井下工作温度条件下的单位长度电阻,根据输出电压、二次侧电流、单位长度电阻、长度值和负载的功率因数,计算确定实时工作电压,根据输入电压和输出电压,计算确定调压比,由此,可以有效结合有载调压设备、供电电缆以及负载的相关参数,以有效提升所得实时工作电压和调压比的准确性。如果初始比值大于或等于第一阈值,则控制有载调压设备保持调压比,如果初始比值小于第一阈值,则控制有载调压设备提高调压比,由此,可以在负载处于启动状态时基于初始比值和第一阈值的对比结果灵活对调压比进行调整,以提升负载在启动状态下的电力需求。
    [0073]图3是本公开另一实施例提出的综采工作面远距离供电大负载自动稳压调压方法的流程示意图。
    [0074]如图3所示,该综采工作面远距离供电大负载自动稳压调压方法,包括:
    [0075]S301:确定负载的工作状态,其中,工作状态是正常运行状态。
    [0076]其中,正常运行状态,可以是指负载成功启动之后正常运行的状态。例如可以是指负载启动1分钟之后的状态。
    [0077]S302:动态监测有载调压设备的输入电压、输出电压和二次侧电流。
    [0078]即是说,本公开实施例中在确定负载的工作状态是正常运行状态之后可以动态监测有载调压设备的输入电压、输出电压和二次侧电流,从而为后续计算负载正常运行状态下的实时工作电压和调压比提供有载调压设备侧的数据支持。
    [0079]S303:确定有载调压设备到负载间供电电缆的长度值,以及供电电缆在井下工作温度条件下的单位长度电阻和单位长度电抗。
    [0080]本公开实施例中,当确定有载调压设备到负载间供电电缆的长度值,以及供电电缆在井下工作温度条件下的单位长度电阻和单位长度电抗时,可以为后续计算负载正常运行状态下的实时工作电压提供负载侧的数据支持。
    [0081]S304:根据输出电压、二次侧电流、长度值、单位长度电阻、单位长度电抗和负载的功率因数,计算确定实时工作电压。
    [0082]本公开实施例中,当根据输出电压、二次侧电流、长度值、单位长度电阻、单位长度电抗和负载的功率因数,计算确定实时工作电压时,可以有效结合有载调压设备、供电电缆以及负载的相关参数,以有效提升所得实时工作电压的准确性。
    [0083]S305:根据输入电压和输出电压,计算确定调压比。
    [0084]即是说,本公开实施例中在确定负载的工作状态是正常运行状态时,可以动态监测有载调压设备的输入电压、输出电压和二次侧电流,确定有载调压设备到负载间供电电缆的长度值,以及供电电缆在井下工作温度条件下的单位长度电阻和单位长度电抗,根据输出电压、二次侧电流、长度值、单位长度电阻、单位长度电抗和负载的功率因数,计算确定实时工作电压,根据输入电压和输出电压,计算确定调压比,由此,可以有效提升所得实时工作电压和调压比的准确性和可靠性。
    [0085]S306:确定实时工作电压与负载额定工作电压的初始比值。
    [0086]S306的描述说明可以具体参见上述实施例,在此不再赘述。
    [0087]S307:如果初始比值大于或等于第二阈值,且小于或等于第三阈值,则控制有载调压设备保持调压比。
    [0088]其中,第二阈值和第三阈值,可以分别是指针对负载正常运行状态下实时工作电压与负载额定工作电压的初始比值所配置的下限值和上限值。举例而言,第二阈值可以是0.95,第三阈值可以是1.05,或者,还可以取其它任意数值,对此不做限制。
    [0089]本公开实施例中,当初始比值大于或等于第二阈值,且小于或等于第三阈值时,可以确定负载的实时工作电压波动程度不会影响负载正常运行,因此可以控制有载调压设备保持调压比。
    [0090]S308:如果初始比值小于第二阈值,则控制有载调压设备提高调压比。
    [0091]本公开实施例中,当初始比值小于第二阈值时,可以确定负载的实时工作电压较低,无法满足负载正常运行需求,因此可以控制有载调压设备提高调压比,以提高该负载实时工作电压。
    [0092]S309:如果初始比值大于第三阈值,则控制有载调压设备降低调压比。
    [0093]本公开实施例中,当初始比值大于第三阈值时,可以确定负载的实时工作电压较高,其电压超出了负载正常运行需求,因此可以控制有载调压设备降低调压比,以降低该负载实时工作电压。
    [0094]即是说,本公开实施例中在确定实时工作电压与负载额定工作电压的初始比值之后,如果初始比值大于或等于第二阈值,且小于或等于第三阈值,则控制有载调压设备保持调压比,如果初始比值小于第二阈值,则控制有载调压设备提高调压比,如果初始比值大于第三阈值,则控制有载调压设备降低调压比,由此,可以在负载处于正常运行状态时基于初始比值与第二阈值和第三阈值的对比结果灵活对有载调压设备的调压比进行调整,从而在确保负载正常运行电压需求的同时,避免负载实时工作电压过高而影响系统安全性。
    [0095]本实施例中,通过在确定负载的工作状态是正常运行状态时,动态监测有载调压设备的输入电压、输出电压和二次侧电流,确定有载调压设备到负载间供电电缆的长度值,以及供电电缆在井下工作温度条件下的单位长度电阻和单位长度电抗,根据输出电压、二次侧电流、长度值、单位长度电阻、单位长度电抗和负载的功率因数,计算确定实时工作电压,根据输入电压和输出电压,计算确定调压比,由此,可以有效提升所得实时工作电压和调压比的准确性和可靠性。如果初始比值大于或等于第二阈值,且小于或等于第三阈值,则控制有载调压设备保持调压比,如果初始比值小于第二阈值,则控制有载调压设备提高调压比,如果初始比值大于第三阈值,则控制有载调压设备降低调压比,由此,可以在负载处于正常运行状态时基于初始比值与第二阈值和第三阈值的对比结果灵活对有载调压设备的调压比进行调整,从而在确保负载正常运行电压需求的同时,避免负载实时工作电压过高而影响系统安全性。
    [0096]举例而言,如图4所示,图4是根据本公开提出的有载调压设备自动稳压调压算法逻辑示意图,其中:
    [0097]负载额定功率为P rate ,额定电压为U rate ,功率因数为tgφ。有载调压设备到负载间供电电缆长度为L,井下工作温度条件下的单位长度电阻R 0 和电抗X 0 。
    [0098]负载启动时,有载调压装置中三相电压互感器监测输入电压为U in,s ,输出电压为U out,s ,三项电流互感器监测二次侧电流为I s 。负载端电压U start 与有载装置输出电压U out,s ,输出电流I s ,电缆电阻R 0 ,负载功率因数tgφ的关系为
    [0099]负载启动瞬间,如果负载端启动电压U start 满足U start ≥0.8U rate ,有载调压装置不动作;如果负载端启动电压U start <0.8U rate ,计算有载调压装置调压比P out/in =U out,s /U in,s ,通过控制分接开关抽头,提高电压变比,并继续进行动态监测。
    [0100]负载启动后1min后,进入负载正常运行阶段,有载调压装置中三相电压传感器监测输入电压为U in,o ,输出电压为U out,o ,三相电流传感器监测输出电流为I out,o 。正常运行时负载端电压U operation 与有载装置输出电压U out,o ,输出电流I out,o ,电缆单位长度电阻R 0 和电抗X 0 ,负载功率因数tgφ的关系为U operation =U out,o -I out,o L(R 0 +X 0 tgφ)。
    [0101]负载正常工作情况下,如果负载端正常工作电压U operation 满足0.95U rate ≤U operation ≤1.05U rate ,有载调压装置不动作;如果负载端正常工作电压U operation <0.95U rate ,计算有载调压装置调压比P out/in =U out,o /U in,o ,通过控制分接开关抽头,提高电压变比,并继续进行动态监测;如果负载端正常工作电压U operation >1.05U rate ,计算有载调压装置调压比P out/in =U out,o /U in,o ,通过控制分接开关抽头,减少二次绕组,降低调压电压变比,并继续进行动态监测。
    [0102]图5是本公开一实施例提出的综采工作面远距离供电大负载自动稳压调压装置的结构示意图。
    [0103]如图5所示,该综采工作面远距离供电大负载自动稳压调压装置50,应用于有载调压设备,有载调压设备与负载电性相连,装置包括:
    [0104]第一确定模块501,用于确定负载的工作状态;
    [0105]计算模块502,用于根据工作状态计算负载的实时工作电压,以及有载调压设备的调压比;
    [0106]第二确定模块503,用于确定实时工作电压与负载额定工作电压的初始比值;
    [0107]调整模块504,用于根据工作状态和初始比值对调压比进行调整。
    [0108]需要说明的是,前述对综采工作面远距离供电大负载自动稳压调压方法的解释说明也适用于本实施例的综采工作面远距离供电大负载自动稳压调压装置,此处不再赘述。
    [0109]本实施例中,通过确定负载的工作状态;根据工作状态计算负载的实时工作电压,以及有载调压设备的调压比;确定实时工作电压与负载额定工作电压的初始比值;根据工作状态和初始比值对调压比进行调整,由此,能够对有载调压设备的输出电压进行灵活调节,以实现对综采工作面电力系统电压波动的自动补偿,可以提高系统的适应性和稳定性,从而确保综采工作面电力系统的安全运行。
    [0110]图6示出了适于用来实现本公开实施方式的示例性计算机设备的框图。图6显示的计算机设备12仅仅是一个示例,不应对本公开实施例的功能和使用范围带来任何限制。
    [0111]如图6所示,计算机设备12以通用计算设备的形式表现。计算机设备12的组件可以包括但不限于:一个或者多个处理器或者处理单元16,系统存储器28,连接不同系统组件(包括系统存储器28和处理单元16)的总线18。
    [0112]总线18表示几类总线结构中的一种或多种,包括存储器总线或者存储器控制器,外围总线,图形加速端口,处理器或者使用多种总线结构中的任意总线结构的局域总线。举例来说,这些体系结构包括但不限于工业标准体系结构(Industry StandardArchitecture;以下简称:ISA)总线,微通道体系结构(Micro Channel Architecture;以下简称:MAC)总线,增强型ISA总线、视频电子标准协会(Video Electronics StandardsAssociation;以下简称:VESA)局域总线以及外围组件互连(Peripheral ComponentInterconnection;以下简称:PCI)总线。
    [0113]计算机设备12典型地包括多种计算机系统可读介质。这些介质可以是任何能够被计算机设备12访问的可用介质,包括易失性和非易失性介质,可移动的和不可移动的介质。
    [0114]存储器28可以包括易失性存储器形式的计算机系统可读介质,例如随机存取存储器(Random Access Memory;以下简称:RAM)30和/或高速缓存存储器32。计算机设备12可以进一步包括其他可移动/不可移动的、易失性/非易失性计算机系统存储介质。仅作为举例,存储系统34可以用于读写不可移动的、非易失性磁介质(图6未显示,通常称为“硬盘驱动器”)。
    [0115]尽管图6中未示出,可以提供用于对可移动非易失性磁盘(例如“软盘”)读写的磁盘驱动器,以及对可移动非易失性光盘(例如:光盘只读存储器(Compact Disc Read OnlyMemory;以下简称:CD-ROM)、数字多功能只读光盘(Digital Video Disc Read OnlyMemory;以下简称:DVD-ROM)或者其他光介质)读写的光盘驱动器。在这些情况下,每个驱动器可以通过一个或者多个数据介质接口与总线18相连。存储器28可以包括至少一个程序产品,该程序产品具有一组(例如至少一个)程序模块,这些程序模块被配置以执行本公开各实施例的功能。
    [0116]具有一组(至少一个)程序模块42的程序/实用工具40,可以存储在例如存储器28中,这样的程序模块42包括但不限于操作系统、一个或者多个应用程序、其他程序模块以及程序数据,这些示例中的每一个或某种组合中可能包括网络环境的实现。程序模块42通常执行本公开所描述的实施例中的功能和/或方法。
    [0117]计算机设备12也可以与一个或多个外部设备14(例如键盘、指向设备、显示器24等)通信,还可与一个或者多个使得人体能与该计算机设备12交互的设备通信,和/或与使得该计算机设备12能与一个或多个其他计算设备进行通信的任何设备(例如网卡,调制解调器等等)通信。这种通信可以通过输入/输出(I/O)接口22进行。并且,计算机设备12还可以通过网络适配器20与一个或者多个网络(例如局域网(Local Area Network;以下简称:LAN),广域网(Wide Area Network;以下简称:WAN)和/或公共网络,例如因特网)通信。如图所示,网络适配器20通过总线18与计算机设备12的其他模块通信。应当明白,尽管图中未示出,可以结合计算机设备12使用其他硬件和/或软件模块,包括但不限于:微代码、设备驱动器、冗余处理单元、外部磁盘驱动阵列、RAID系统、磁带驱动器以及数据备份存储系统等。
    [0118]处理单元16通过运行存储在系统存储器28中的程序,从而执行各种功能应用以及数据处理,例如实现前述实施例中提及的综采工作面远距离供电大负载自动稳压调压方法。
    [0119]为了实现上述实施例,本公开还提出一种非临时性计算机可读存储介质,其上存储有计算机程序,该程序被处理器执行时实现如本公开前述实施例提出的综采工作面远距离供电大负载自动稳压调压方法。
    [0120]为了实现上述实施例,本公开还提出一种计算机程序产品,当计算机程序产品中的指令处理器执行时,执行如本公开前述实施例提出的综采工作面远距离供电大负载自动稳压调压方法。
    [0121]本领域技术人员在考虑说明书及实践这里公开的发明后,将容易想到本公开的其他实施方案。本公开旨在涵盖本公开的任何变型、用途或者适应性变化,这些变型、用途或者适应性变化遵循本公开的一般性原理并包括本公开未公开的本技术领域中的公知常识或惯用技术手段。说明书和实施例仅被视为示例性的,本公开的真正范围和精神由下面的权利要求指出。
    [0122]应当理解的是,本公开并不局限于上面已经描述并在附图中示出的精确结构,并且可以在不脱离其范围进行各种修改和改变。本公开的范围仅由所附的权利要求来限制。
    [0123]需要说明的是,在本公开的描述中,术语“第一”、“第二”等仅用于描述目的,而不能理解为指示或暗示相对重要性。此外,在本公开的描述中,除非另有说明,“多个”的含义是两个或两个以上。
    [0124]流程图中或在此以其他方式描述的任何过程或方法描述可以被理解为,表示包括一个或更多个用于实现特定逻辑功能或过程的步骤的可执行指令的代码的模块、片段或部分,并且本公开的优选实施方式的范围包括另外的实现,其中可以不按所示出或讨论的顺序,包括根据所涉及的功能按基本同时的方式或按相反的顺序,来执行功能,这应被本公开的实施例所属技术领域的技术人员所理解。
    [0125]应当理解,本公开的各部分可以用硬件、软件、固件或它们的组合来实现。在上述实施方式中,多个步骤或方法可以用存储在存储器中且由合适的指令执行系统执行的软件或固件来实现。例如,如果用硬件来实现,和在另一实施方式中一样,可用本领域公知的下列技术中的任一项或他们的组合来实现:具有用于对数据信号实现逻辑功能的逻辑门电路的离散逻辑电路,具有合适的组合逻辑门电路的专用集成电路,可编程门阵列(PGA),现场可编程门阵列(FPGA)等。
    [0126]本技术领域的普通技术人员可以理解实现上述实施例方法携带的全部或部分步骤是可以通过程序来指令相关的硬件完成,所述的程序可以存储于一种计算机可读存储介质中,该程序在执行时,包括方法实施例的步骤之一或其组合。
    [0127]此外,在本公开各个实施例中的各功能单元可以集成在一个处理模块中,也可以是各个单元单独物理存在,也可以两个或两个以上单元集成在一个模块中。上述集成的模块既可以采用硬件的形式实现,也可以采用软件功能模块的形式实现。所述集成的模块如果以软件功能模块的形式实现并作为独立的产品销售或使用时,也可以存储在一个计算机可读取存储介质中。
    [0128]上述提到的存储介质可以是只读存储器,磁盘或光盘等。
    [0129]在本说明书的描述中,参考术语“一个实施例”、“一些实施例”、“示例”、“具体示例”、或“一些示例”等的描述意指结合该实施例或示例描述的具体特征、结构、材料或者特点包含于本公开的至少一个实施例或示例中。在本说明书中,对上述术语的示意性表述不一定是指相同的实施例或示例。而且,描述的具体特征、结构、材料或者特点可以在任何的一个或多个实施例或示例中以合适的方式结合。
    [0130]尽管上面已经示出和描述了本公开的实施例,可以理解的是,上述实施例是示例性的,不能理解为对本公开的限制,本领域的普通技术人员在本公开的范围内可以对上述实施例进行变化、修改、替换和变型。
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