With the deepening of the research of artificial intelligence theory, the research of pattern recognition has made further development, and the applicable fields have also been continuously expanded. Pattern recognition can be used in text and speech recognition, remote sensing nuclear medicine diagnosis. This article optimizes and analyzes intelligent manufacturing based on pattern recognition, and uses improved association rule data mining algorithms to improve it from many aspects, Association rules are not limited by the number of dependent variables and can discover associations between data in large databases. Data analysis is carried out based on factors in different production stages of intelligent manufacturing to demonstrate the feasibility of the improved algorithm of association rule data mining. The experimental simulation results show that the application of the improved pattern recognition model in this research has made the estimated value of the remanufactured product remanufactured to a maximum of 4.05, and the production effect has also been greatly improved, the floating range is between 6.13 and 7.90, and the overall evaluation can reach 9.06. The experimental results show that the effect of the improved pattern recognition model is greatly improved.
Flower development and plant architecture determine the efficiency of mechanized harvest and seed yield in Brassica napus. Although TERMINAL FLOWER 1 (AtTFL1) is a regulator of flower development in Arabidopsis thaliana, the function and regulatory mechanism of TFL1 orthologs in B. napus remains unclear. Six BnTFL1 paralogs in the genome of the B. napus inbred line ‘K407’ showed steadily increasing expression during vernalization. CRISPR/Cas-induced mutagenesis of up to four BnTFL1 paralogs resulted in early flowering and alteration of plant architecture, whereas seed yield was not altered in BnTFL1 single, double, or triple mutants. Six BnTFL1 paralogs, but not BnaA02.TFL1, showed an additive and conserved effect on regulating flowering time, total and terminal flower number, and plant architecture. BnaA10.TFL1 regulates flower development by interacting with BnaA08.FD through the protein BnaA05.GF14nu, resulting in the transcriptional repression of floral integrator and floral meristem identity genes. These findings about the regulatory network controlling flower development and plant architecture present a promising route to modifying these traits in B. napus.
With the development of the big data era, the manufacturing industry is focusing on integrating the technologies related to the evolving intelligent industry. Intelligent manufacturing is the latest form of advanced manufacturing development. In order to pay attention to the design and evaluation status of manufacturing system, we understand the connotation of manufacturing system from the perspective of actual manufacturing production and sales. In this paper, the evaluation model and algorithm of Intelligent Manufacturing System Based on pattern recognition and big data are proposed. In the process of studying the information transmission of intelligent manufacturing system, the evaluation hierarchy algorithm of intelligent control system is improved with reference to several modeling methods. Finally, an intelligent manufacturing system suitable for processing big data is designed. In the experiment in workshop A, with the help of computer simulation of artificial intelligent activities, the intelligent manufacturing system analyzes the processing and production data, obtains the dynamic requirements of products in the machining workshop, and provides judgment basis for the construction of dynamic units in enterprises. The experimental results show that after the change of the production organization model using the seasonal change forecasting method, the introduction of the smart manufacturing system, the sales production of this shop has been increasing, and in the 20th month has increased seven times more than the initial, while the overall situation of the predicted sales and actual sales and costs, the superiority of using the smart manufacturing evaluation model is derived.
At present, the old production management mode has become a stumbling block to the development of enterprises, and the high-end manufacturing technology is still not mature enough. This research mainly discusses the intelligent manufacturing management system based on data mining in artificial intelligence energy-saving resources. The enterprise business management system cannot accurately and timely grasp the actual situation of the production site, and the accuracy and feasibility of the upper-level planning cannot be guaranteed. At the same time, on-site personnel and equipment cannot get practical production plans and production instructions in time, resulting in product backlogs and excessive inventory. On the other hand, equipment is idle and resources are wasted, and the workshop scheduling system loses the corresponding scheduling role. The development of this system is mainly composed of front-end technology, back-end technology and front-end and back-end interaction technology. The interface design of the front end is mainly completed by the windows form application in c#. The interaction between the front and back ends is mainly realized by programming in each control of the form application. Back-end technology is the core content of the system, mainly including two key technologies: mixed programming of C #. Net and MATLAB and C # connecting SQL Server database. The system mainly includes five sub-functional modules: order management, material management, mixed model assembly line balance, assembly line logistics scheduling and system management. Order management and material management are the basis of the system, which provides parameter input for the balance of assembly line and logistics scheduling. The balance of mixed model assembly line is the core function of the system. The balance of mixed model assembly line is carried out by calling the intelligent algorithm written in MATLAB, and the optimal assembly scheme of workstation is displayed to the front end of the system, which reflects the intelligent characteristics of production control system for intelligent manufacturing. The logistics scheduling of assembly line takes the balance result of mixed model assembly line as the premise, takes the balance result as the task sequence input of logistics scheduling, and optimizes the operation efficiency of logistics system (driving path and running time of AGV). The operation results show that the comprehensive energy consumption of 10,000 yuan industrial output value is 401.19 kg standard coal/10,000 yuan, a year-on-year decrease of 6.96%. This study is helpful to the fine management of manufacturing industry.
Rapeseed (Brassica napus L.) is an important oil crop and a major source of tocopherols, also known as vitamin E, in human nutrition. Enhancing the quality and composition of fatty acids (FAs) and tocopherols in seeds has long been a target for rapeseed breeding. The gene γ-Tocopherol methyltransferase (γ-TMT) encodes an enzyme catalysing the conversion of γ-tocopherol to α-tocopherol, which has the highest biological activity. However, the genetic basis of γ-TMT in B. napus seeds remains unclear. In the present study, BnaC02.TMT.a, one paralogue of Brassica napus γ-TMT, was isolated from the B. napus cultivar “Zhongshuang11” by nested PCR, and two homozygous transgenic overexpression lines were further characterised. Our results demonstrated that the overexpression of BnaC02.TMT.a mediated an increase in the α- and total tocopherol content in transgenic B. napus seeds. Interestingly, the FA composition was also altered in the transgenic plants; a reduction in the levels of oleic acid and an increase in the levels of linoleic acid and linolenic acid were observed. Consistently, BnaC02.TMT.a promoted the expression of BnFAD2 and BnFAD3, which are involved in the biosynthesis of polyunsaturated fatty acids during seed development. In addition, BnaC02.TMT.a enhanced the tolerance to salt stress by scavenging reactive oxygen species (ROS) during seed germination in B. napus. Our results suggest that BnaC02.TMT.a could affect the tocopherol content and FA composition and play a positive role in regulating the rapeseed response to salt stress by modulating the ROS scavenging system. This study broadens our understanding of the function of the Bnγ-TMT gene and provides a novel strategy for genetic engineering in rapeseed breeding.
With the improvement of industrial automation and technological progress, the number of robots continues to increase, application scenarios are becoming more and more complex, and the requirements for automation and intelligence of robots are also increasing. Due to the development of computer technology and artificial intelligence based on machine vision technical robots has received great attention inthe field of research and production. With the growth of demand, rapid and accurate identification and positioning of objects in any posture in complex spatial environments have become a research hotspot. Based on the image feature processing technology, this paper studies the autonomous target recognition and grasping of industrial robots, establishes the coordinate system of the vision system, derives the projection matrix, and builds a parallel binocular stereo vision system. The method adopted in this paper is that the claw at the end of the robot grips the object to move to different poses, which is used as the theoretical pose of the object, and the grasping result of the visual system is used as the actual pose. The two are compared to solve the grasping errors, a total of 8 comparison experiments were made, and these experimental data were collected and decomposed to draw conclusions. Experiments show that the attitude errors in the X, Y, and Z directions are 1.08°, 1.01°, and 0.92°, respectively. Compared with the previous image positioning errors, it can be found that the errors in the actual robot positioning process are too large, which is mainly caused by the uncalibrated robot; the method used can accurately, quickly, and stably realize the recognition and positioning of the target and meet the needs of the robot for real-time grasping.
Sports facilities are the material basis for people to participate in physical exercise. The construction of facilities is conducive to improving people's health and their expectations for a happy life. Sports facilities are part of the infrastructure. The reasonable layout of sports facilities is conducive to shortening the gap between urban and rural areas, achieving common economic prosperity, and promoting social harmony and unity. Public sports facilities are of great significance to urban construction and people's daily lives. Based on big data and machine vision, this document constructs a big data model framework for urban public sports and leisure facilities, quantifies the diversity and overall coordination of sports facilities, and conducts simulation experiments on the designed urban leisure and sports public facility model. The experimental results show that compared with the traditional method, this method effectively improves the coverage of urban leisure and sports public facilities, and the space utilization rate is increased by 15.32% compared with the traditional method, which maximizes the use of regional space and makes it more convenient for urban residents. It can carry out physical exercise quickly and improve the quality of life of residents.
A continuous flow reactor (TCFR) with 10 compartments was used to treat domestic sewage. The anaerobic compartments of TCFR were kept at 3. The anoxic compartments of TCFR were reduced from 2 to 0. Therefore, the aerobic compartments of TCFR were increased gradually from 5 to 7. The aerobic compartments were set to continual aeration in Run1 and intermittent aeration from Run2 to Run4. The aeration/non-aeration ratios were 40 min/20 min,40 min/30 min, and 40 min/40 min, respectively. The nitrification liquid reflux ratios were reduced gradually from 150% to 0%. When the average influent concentrations of COD, NH4+-N, TN, and PO43--P were 259.34, 60.26, 64.42, and 6.10 mg·L-1, respectively, the corresponding effluent concentrations were 26.40, 1.03, 5.84, and 0.3 mg·L-1, respectively in Run4. The nitrogen removal amounts increased gradually from 192.30 mg·h-1 in Run1 to 244.00 mg·h-1 in Run4, and the corresponding removal rates increased from 65.40% to 95.30%. The activity of denitrifying phosphorus accumulating organisms (DPAOs) and phosphorus accumulating organisms (PAOs) increased from 36.05% and 38.20% in Run1 to 140.50% and 133.40% in Run4, respectively. Simultaneous nitrification and denitrifying phosphorus removal was achieved in TCFR by adopting intermittent aeration, which provided a reference for the reformation of sewage treatment plants.
针对供配电系统自身硬件条件的不足,分析了传统的实验特点;并以过电流继电保护实验为例,阐述了基于MATLAB的过电流保护控制实验的具体知识点,各知识点电路的设计、系统的功能、具体实验步骤和实验方法,并给出了实验步骤流程图.
In this paper, a novel bipolar transverse flux motor with stator permanent magnet excitation is proposed based on the summary and analysis of the transverse flux motor and stator permanent magnet motor research achievements in recent years. It has been shown that the motor realizes the bipolar winding flux through the detailed analysis. The motor can be used as an inwheel motor in electric vehicle...
采用生物接触氧化法(BCO)-人工湿地组合工艺处理常低温生活污水,当BCO的气水比为7:1、回流比为100%、人工湿地的水力停留时间(HRT)为9h,人工湿地的水力负荷(HLR)为3.65 m3/(m2/d)时,在常温下(22~27℃),组合工艺出水COD、NH4+ —N、TN和PO43-—P分别为14.60、1.40、12.70和0.43 mg/L,出水满足《城镇污水处理厂污染物排放标准》(GB 18918-2002)一级A标准;而低温下(7 ~ 12℃),组合工艺出水COD、NH4+ —N、TN和PO43-—P分别为29.60、9.90、19.90和0.88 mg/L.保持气水比和回流比不变,控制低温下BCO的HRT为12 h,人工湿地的HLR为2.74 m3/(m2/d)时,组合工艺出水COD、NH4+ —N、TN和PO43-—P为18.40、6.17、14.17和0.66 mg/L,去除率分别为90.60%、87.80%、75.40%和85.30%.结果表明:常、低温下该组合工艺均能够实现污染物的良好去除,为实际工程应用提供参考.
针对当前横向磁通永磁电机绕组磁链单极性影响电机出力进一步提高的问题,提出一种实现磁链双极性的横向磁通永磁电动机.该电机采用外转子型,电枢绕组和永磁体都位于定子上,磁通路径分析表明绕组匝链的磁通为双极性.基于电动机的基本结构和工作原理,依据电机设计理论推导出了电动机功率与尺寸之间关系式,采用有限元计算分析了电机主要尺寸对永磁磁链的影响.以此为依据确定了一台三相600 W样机的尺寸,利用有限元法对静态特性和瞬态特性进行了仿真计算,包括空载时电机磁场分布和绕组反电势,为了验证理论分析的正确性,最后对制作的600 W样机进行了实验验证,实验结果与理论分析具有很好的一致性.
The parameters of flux switching permanent magnet motor are very nonlinear, so it is of great significance for its extensive use with good adjustable speed performance in a wide speed range. In this paper, according to the characteristics of both fuzzy controller and PI controller, a fuzzy self-tuning PI controller is proposed, which is suitable for the digital speed control system of FSPM motor. Under the control strategy, which is simple and easy to realize, the drive system has achieved remarkable results in depressing both the overshoot and disturbance. Both the simulation and experimental results show that the proposed control strategy has good steady and dynamic performance
目的:研究对比全结肠系膜切除术及传统根治术对结肠癌的疗效.方法:选取从2013年1月至2014年6月,于我院接受治疗的结肠癌患者52例,以数字法随机分为观察组及对照组各26例.对照组患者采用传统根治术治疗,观察组患者则行全结肠系膜切除术治疗,对比两组疗效.结果:观察组术中出血量以及住院时间分别为(133.74±12.11)ml、(11.45± 1.54)天,均显著低于对照组的(173.85±13.87)ml、(15.23±1.77)天,差异有统计学意义(P<0.05).观察组并发症发生率、复发率以及死亡率均显著低于对照组,差异有统计学意义(P<0.05).结论:全结肠系膜切除术治疗结肠癌患者疗效显著,有利于促进患者术后早日康复,预后效果较佳.
There is no brush in the brushless doubly fed induction generator(BDFIG). Because of this excellent maintenance feature, it has well prospects in wind power system. The low voltage ride through (LVRT) is the most important grid code of wind power system. The control limit of the generator side converter is the key point to the LVRT control strategy. It has great research value. This paper proposes a method to find out the control limit of BDFIG MSC under voltage dips. First, the control limit calculation is formulated to be an optimization problem with practical constraints. Then, such optimization problem is solved with Pontryagin's minimum principle (PMP) and the control limit can be obtained. After compared with the DFIG system, the results shows that the BDFIG has more excellent LVRT capability.
From the CMAC basic principle, this paper introduces a kind of CMAC and PID Compound controller, a more detailed introduction to the implementation of this algorithm and the design method; through the given temperature MATLAB simulation demonstrates that under certain conditions, the composite controller can be given good temperature tracking, and in the stable, the output of the system error in (-0.05, 0.05), to achieve a better control effect, has certain promotion value.
With the development of renewable energy sources, grid-connected inverters become more and more important in modern power system. Current control plays an important role in the grid-connected inverter control system. To deal with the resonance issues of the LCL filter in inverter, Firstly, inverter model and delay transfer function are established. based on it, multi-sampling technique is introduced proved to be a suitable solution to reduce the delay in traditional inverter control system. How to implement multi-sampling technique in inverter control with TI F28377x series MCU is discussed and a hotfix for F28377 crossing point detection of modulation and carrier wave is raised. Experimental results with output currents and resonance stability margin validate the implementation of multi-sampling current control for grid-connected inverters.
肝脓肿是肝脏受到感染后,由于未及时进行处理而形成的肝脏感染性疾病,分为细菌性肝脓肿和阿米巴性肝脓肿以及特殊性肝脓肿[1].细菌性肝脓肿在临床上较为常见,且发病较急,主要症状包括寒战、高热、肝区疼痛以及肝肿大,治疗不及时或不得当可能导致死亡.临床上对于尚未成型的小脓肿选择保守治疗,但针对较大脓肿则可采用手术切开及引流方式治疗[2-3].近年来,伴随超声引导下的肝脓肿穿刺抽吸以及置管引流治疗肝脓肿已逐渐成为临床趋势,本研究旨在探讨超声介入疗法对肝脓肿的临床疗效,现将结果报告如下.
An aquatic community was built artificially to explore its self-maintenance and resilience capability. Responses of key water environmental indicators to diversified varieties and densities of the aquatic community were investigated. Results show that the artificial aquatic system is efficient in improving water quality with increasing transparency and decreasing permanganate index ( CODMn ) , chlorophyll-a, densities of zooplankter and phytoplankton, while no influences on TN ( total nitrogen) and TP ( total phosphorus ) in the tested water were observed. Stocking density of fish and mussel impacted the efficiency of the artificial aquatic community on its water quality improving capacity with lower density ( fish at 25. 0 g/m3 and mussel at 1. 0 g/L) , taking advantage over higher density ( fish at 50. 0 g/m3 and mussel at 2. 0 g/L) . Myriophyllum spicatum and ceratophyllum demersum contributed to enhance the efficiency of the fish-mussel system in improving water quality.
Neutral beam injection heating is one of the main auxiliary heating methods in controllable nuclear fusion research. In the EAST neutral beam injector, a water flow calorimetry (WFC) system is applied to measure the heat load on the electrode system of the ion source and the heat loading components of the beamline. Due to the heat loss in the return water pipe, there are some measuring errors for the current WFC system. In this paper, the errors were measured experimentally and analyzed theoretically, which lay a basis for the exact calculation of beam power deposition distribution and neutralization efficiency.