In order to improve the energy efficiency of industrial users and evaluate the energy efficiency level before optimizing the energy efficiency of enterprises,an energy efficiency evaluation method based on improved TOPSIS grey correlation analysis is pro-posed to find the weak link of energy use.Firstly,7 indicators of production,economy and environment are selected to build an energy efficiency index system.Secondly,the entropy weight method is used to calculate the index weight and classify the energy efficiency of industrial users,which can be used for the power grid to implement differentiated electricity prices for enterprises with high energy consumption.Finally,the improved grey TOPSIS analysis method is used to select 10 typical enterprise users with high energy consumption in a city for energy efficiency evaluation.The analysis shows that the weight of the energy con-sumption index per unit of output value is the largest,and the better the performance of the index,the higher the comprehensive energy efficiency evaluation result.Finally,the method is compared with other evaluation methods to verify the effectiveness of the method proposed in this paper.
For the desktop 6-axis robot arm developed by myself,a robot coordinate system model built by Solidworks a 3D-design soft-ware is converted to a URDF file and imported into the ROS system.The trajectory planning package is configured by the Moveit!Setup Assistant,including the controllers and the launch files,etc.,use MotionPlanning plugin to complete motion plan-ning in Rviz,and focus on analyzing RRT trajectory planning algorithm,using Moveit!tool.The paper studies linear trajectory and circular trajectory planning in Cartesian space.Finally,cubic spline interpolation is performed on the planned spatial trajecto-ry.The results of velocity and acceleration curves prove that the control requirements of the manipulator are met.The paper pro-vides a basis for further precise control of the manipulator.
Aiming at the problem that automation engineers cannot debug programs without physical objects at the early stage of the project,this paper uses Factory IO and S7-PLCSIM Advance3.0 to build a simulation environment,and simulates and debug a tridimen-sional depository control program with a stacker.From model building,PLC program,HMI program design and programming to joint debugging of the three,the results show that the simulation system can enable automation engineers to carry out program de-bugging at the early stage of the project,save the implementation time of the entire project,eliminate the possible technical con-flicts between disciplines and the cost waste caused by redesign and construction.
In the process of substation construction,affected by the two-dimensional and three-dimensional linkage algorithm,the speed of location information sharing is slow.Therefore,the sharing of installation location information of substation secondary equip-ment in two-dimensional and three-dimensional design platform is proposed.Based on TIN model,a two-dimensional and three-dimensional integrated spatial data model is constructed.Through IFC file analysis,the basic data associated with the two-dimensional and three-dimensional design platform is obtained.Combined with unified ID mapping and center point coordi-nates,a two-dimensional and three-dimensional linkage algorithm is designed.Finally,combined with the multi process theory,the equipment installation location information sharing is realized.The application results show that when the proposed two-di-mensional and three-dimensional design platform information sharing method is applied,location information sharing speed is not affected by the number of targets,and it is always maintained above 20 fps.
In order to obtain ideal fault identification results,a fault identification method of TFDS equipment based on automatic adjust-ment of shooting device is proposed.Firstly,the fault image of freight train is automatically taken,the fault image is denoised by mean filter,and the processed image is divided into training and test samples.After convolution and pooling,the parameters of the training samples are updated by random gradient descent algorithm to construct the convolution neural network model.After testing the test samples.The softmax regression function is used to output the fault identification results of freight cars.Experi-ments show that the TFDS equipment fault identification effect is good and this method has high practical application value.
When the current method is used to segment the power marketing service customer group,the accuracy of group segmentation is poor.For this reason,a construction method of power marketing service customer group segmentation model based on semi super-vised spectral clustering is proposed,which preprocesses the power marketing service customer group data,fills in the missing da-ta and smoothes the data sequence horizontally and vertically,establishes a semi supervised spectral clustering support vector ma-chine classification model,and trains the classification model through spectral clustering algorithm.The manifold formal learning method is introduced to solve the problem that the manifold structure of the original dataset affects the segmentation accuracy,and the power marketing service customer group segmentation model is built.The experimental results show that the method can effectively improve the accuracy of power marketing service customer segmentation H distance value.
In order to improve the stable and safe operation of regional power grid,it is necessary to fully coordinate and control all kinds of renewable energy.A layered energy balance control method for renewable energy grid based on island mode is proposed.The method is based on multi-agent system to control the layered energy balance of renewable energy grid.After determining the control conditions of the multi-agent system,the structure of the multi-agent system is designed.Using the energy balance of the layered control method of constructing an agent layer,the distribution network dispatching network central control layer and the source storage mutual coordination between local control layer,through the battery agent coordination and scheduling control and sagging control energy resources,to ensure reasonable and balanced distribution of output power,control and renewable en-ergy grid energy balance.The test results show that this method has the ability to calculate the running state of renewable energy equipment and obtain the running state results of different equipment.The control effect is good,the voltage is stable at about 305 V during the switching process,and the frequency fluctuation range is between 49.5 Hz and 50.5 Hz.The daily wind and light discarding amount are all lower than 17%,and the net load fluctuation power results are all below 0.52 kW,meeting the ap-plication requirements.
The CPU consumption of the currently designed cloud platform resource virtualization scheduling system is unstable in the sched-uling process.When the backup scenario fluctuates,it is difficult to achieve scheduling.In order to solve the above problems,a new cloud platform resource virtualization scheduling system is designed based on Internet of things technology.The resource ac-quisition module,resource storage module and resource control module are designed.The Mifare#rc522 chip of NXP company is used to improve the integration frequency.The storage is realized by IDT72V3680 memory,and the information is processed by JN5139 processor.The Internet of things technology is introduced to realize information scheduling,and the software program is realized through cloud platform resource preprocessing,cloud resource dynamic scheduling and cloud resource scheduling sys-tem optimization.The experimental results show that the system can steadily consume CPU and complete the scheduling when the backup scenario fluctuates.
In the process of recommendation,the existing reports have been guided by fixed requirements,so it is difficult to make adaptive recommendation.This paper proposes an adaptive report recommendation algorithm.Through the design of adaptive recommen-dation model,the classification management of reports is completed by relying on data labels,and the changes of user report de-mand characteristics are obtained through user access records.Finally,according to the user's activity,different calculation mod-els are adopted to complete the report adaptive recommendation.The experimental results show that compared with the other two tools,the recall rate of report adaptive recommendation is greatly improved.
In order to solve the problem of lagging strategy and poor real-time performance in traditional operation and inspection technolo-gy,this paper studies the intelligent operation and inspection technology of single-phase ground fault in distribution line of intelli-gent distribution and transformation terminal,constructs the detection method of single-phase ground fault,obtains the first termi-nal electrical quantity by using a single distribution line of line distribution parameter model,decomposes the three-phase steady-state current and voltage,and obtains the corresponding three sequence component.According to the judgment basis of fault detection,the construction of criterion function is realized,the relevant data information of fault is collected,and the intelli-gent operation and inspection technology is realized through technical support strategy.The simulation results show that the meth-od in this paper can not only respond to the fault situation quickly,but also detect the fault comprehensively.The accuracy meth-od is much higher than the existing method,which has high practical application value.
Manufacturing industry is the main pillar industry of the national economy.The level of manufacturing industry directly measures a country's international competitiveness,and intelligent manufacturing technology is the core technology of China's manufactur-ing development and the main direction of China's manufacturing industry in the new era.Based on the brief analysis of the cur-rent situation of China's manufacturing industry,this paper expounds the overview of intelligent manufacturing and the advantag-es of intelligent manufacturing technology,and finally discusses the application of intelligent manufacturing technology in manu-facturing industry.
The utilization of coal gangue is an important work in comprehensive utilization of energy resources.In order to improve the out-put shortage and the decrease of thermal efficiency in the operation of coal gangue circulating fluidized bed boiler,based on the method of computational fluid mechanics,the influences of coal gangue particle size and inlet gas velocity on the characteristics of gas-solid two-phase flow in the furnace are investigated.The particle velocity and volume fraction distributions with different particle size and inlet gas velocity are obtained.The results show that the particle volume fraction presents S-shaped distribution along the axial direction with low,large and high,and concave distribution along the radial direction with large wall surface and small middle.The particle axial velocity presents a"ring core"flow characteristic with high middle and low two sides.When the air velocity is constant,the average particle volume fraction decreases with the increase of furnace height,and the axial velocity decreases with the increase of particle size.When the particle size is constant,the particle velocity increases with the increase of fluidization velocity.
When photovoltaic power plant is running,because of its large number of power components,harmonic are generated,which have a certain impact on the power system.In this paper,the harmonic situation of photovoltaic power plant is analyzed quantita-tively by using ETAP,which is a simulation software of power system.Considering the harmonic adaptability of substation,a scheme recommendation of access system considering the harmonic problem of photovoltaic power station is given.Firstly,the substation model,step-up station model and photovoltaic power station model are established respectively under ETAP software.Then,the harmonic characteristics of PCC point of photovoltaic power station are simulated and analyzed.According to the dif-ferent substation scale,the minimum short circuit current required by PCC point of photovoltaic power station is determined,which provides reference for the access system scheme of photovoltaic power station.
The current development of malicious code presents the trend of blowout,a large number of kill-free technology in the attack and defense confrontation is strengthened,a large number of research resources into the monitoring and analysis of malicious code,but in the face of multiple shelling,confusion and malicious code variants based on virtual machine technology,its security moni-toring effect is very small.This paper puts forward a kind of malicious code homogenous analysis technology based on deep learning,this paper first analyzes the anti-reconnaissance technology and behavior characteristics of malicious code,and secondly puts forward the framework of malicious code homogeneous analysis algorithm,based on the sandbox analysis results of API call relationship API serialization processing,and finally based on the Internet malicious code sample set for algorithm training and testing,the results show that the proposed algorithm can effectively extract malicious code from a large number of malicious code sample behavior patterns,enables high-accuracy detection of malicious code variants.
At present,the grid energy storage control method ignores the consideration of the coupling of active power and reactive power in the grid energy storage system.The active network loss,active network loss rate,new energy loss power and new energy loss rate are high.An energy storage control method based on new power system is proposed.Through the improved droop control meth-od,the SOC is balanced,the optimized voltage reference value of the power grid energy storage system is output,and the control of the power grid energy storage system is completed.The experimental results show that the proposed method can effectively im-prove the probability that the voltage is in the allowable range and reduce the active network loss,active network loss rate,new energy loss power and new energy loss rate.The experimental results show that the proposed energy storage control method can adapt to the new power system and meet the new requirements of the power system.
During the fault diagnosis of the compound planetary gear system,the attribute parameter dimension is different,the wear muta-tion obtained by the diagnosis is too large,and the fault diagnosis result is inaccurate.Therefore,a fault diagnosis method of the compound planetary gear system based on empirical mode decomposition is designed.It sorts out the meshing coefficients be-tween gear trains,constructs a composite planetary gear train dynamic model,uses various parameters formed by power drive and empirical mode decomposition of the gear train dynamic failure to generate resonance parameters,and adopts Hilbert transform convolution processing composition.The impact value in the structure forms a numerical resonance relationship,determines the amplitude of the gear train gear structure in the fault state,completes the fault trigger parameters,and completes the fault diagno-sis.The test results show that the wear mutation value obtained by the designed fault diagnosis method is small,and fits the theo-retical mutation value,and the diagnosis result is more accurate.
Autonomous vehicle can improve traffic conditions effectively,reduce traffic accidents,and improve driving comfort and safety.The paper introduces current research status of lateral control model for autonomous vehicle at home and abroad.The dynamic model includes vehicle dynamic model and tire mechanics model.The kinetic model includes the center of mass as the center point and the center point of the rear axle as the center point.Lateral control model includes method based on the use of vehicle mathematical model,controls method based on driver simulation,and controls method based on vehicle mathematical model and driver simulation.According to the research and information technology,the future development trend of lateral control technolo-gy for autonomous vehicles is forecasted,a prospect forecast of lateral control model for autonomous vehicle is accomplished.
Accurately mastering the cooling characteristics of the air conditioning system of the high-voltage converter station under vari-able working conditions can realize low-energy and efficient room temperature cooling.Therefore,this paper studies this.The air conditioning system is divided into three parts:compressor,condenser and throttle valve,and the measuring points such as tem-perature,humidity and wind speed are set.In the experiment,the experimental conditions under variable working conditions are set,and the effects of different conditions on the cooling of the air conditioning system are obtained through the design model.The experimental results show that when the other two conditions are fixed,the influence of outdoor temperature on air condition-ing cooling can be ignored.The higher the air moisture content in the converter station,the better the cooling effect of air condi-tioning,and the larger the air supply volume of treated air,the cooling effect of air conditioning is reduced accordingly.
In order to improve the accuracy of pipeline leakage monitoring in various complex situations,data fusion analysis technology is applied to the design of pipeline leakage monitoring system.In terms of hardware,based on the characteristics of pipeline trans-portation,pressure sensors and temperature sensors are used to design system hardware monitoring nodes.In terms of software,it sets the format of pipeline monitoring data forwarding frames and data correctness verification codes to achieve system data trans-mission;It fusions pipeline leakage data collected by different sensors,calculates the average,mean square and variance of pipe-line monitoring data,analyzes pipeline leakage data from the perspective of time domain,judges whether there is leakage in the pipeline,and realizes pipeline leakage monitoring.The experimental results indicate that the designed pipeline leakage monitor-ing system can obtain accurate pipeline leakage monitoring and warning.
In a real scenario of a smart grid park containing wind and photovoltaic power generation systems,wind power characteristics,photovoltaic characteristics and power supply risk characteristics interact with each other to maintain the operation of the park power supply system.To address the problem of low prediction performance of existing methods,this paper firstly investigates the optimal allocation method for a distributed power supply scenario in a smart grid park containing wind and photovoltaic pow-er generation systems,considers the operational risk brought by wind and light and other distributed power supplies connected to the park under smart grid failure,and secondly considers the indexes for operational risk assessment of the smart grid park and the output characteristics of wind and light and other distributed power supplies.Finally,a deep learning-based real-time predic-tion model for net load is proposed and the effectiveness of the joint prediction model in the smart grid is verified.
