66results about How to "Improve the level of lean management" patented technology

The invention relates to a prediction method for the incoming call traffic of a power client service center. The method comprises the following steps that 1) telephone service content information is analyzed, types of telephone services are arranged, and main problems accepted by the client service center are concluded; 2) on the basis of historical data of 3 to 5 years, noise points in the data are determined, reasons for sudden increase and decrease of the telephone traffic are analyzed, and key influential factors and influence values of the factors are confirmed; and 3) the change trend of the incoming call traffic is analyzed according to a time period, periodic rules of the telephone traffic are extracted, and a prediction model of the telephone traffic is established. The prediction method can be used to predict the telephone traffic effectively, the prediction accuracy is improved via a historical big data sample and multi-level influential factor analysis, the utilization rate of present telephone service representatives is maximized, the perfecting management level of a power company is improved, the cost of telephone construction is reduced, and response time of service demands of clients is shortened.

The invention discloses an intelligent monitoring operation ticket management method. The method comprises the following steps: S1, via an interaction interface connected to a real time SCADA system, a real time data section is synchronized to generate a present connection graph; whether switch operation exists in a dispatching order is determined; if no switch operation exists in the dispatching order, S4 is conducted; otherwise, the S2 is conducted; an operation ticket is generated according to the present connection graph and the present state and a target state of a device which needs to be operated; S3, safety verification is carried out on the generated operation ticket; S4, the operation ticket is forwarded to a centralized control station to be subjected to unified operation; all information generated in an intelligent monitor operation ticket execution process is recorded and stored in a scheduling information management system; and S5, whether secondary switch operation exists in the dispatching order is determined; and if no second switch operation exists, operation ticket management monitoring ends; otherwise, a second operation ticket is generated, and the steps S3-S4 are repeated. The method guarantees safety of dispatching operation and provides a strong guarantee for safe and stable operation of a power grid.

The invention provides a power network development capability comprehensive diagnosis index system establishment method. The method comprises the following steps of 1, establishing a target layer, which is a power network development diagnosis index system; 2, establishing a control layer, which comprises 6 indexes including a power network scale, a power network structure, utilization efficiency, safety reliability, an equipment level and an operation environment; 3, establishing a network layer, which comprises 39 indexes corresponding to the indexes of the control layer respectively; 4, calculating weights omega i of the indexes based on a analytic network process; 5, building an aggregation model; and 6, displaying a diagnosis result. According to the method, in combination with a power network development law, starting from limitations of power network development conditions and external factors, related indexes influencing power network development are selected, and from the perspective of long-term power network development, the limitations of resources such as energy resources, environments, lands and the like on the power network development are considered, so that an innovative index is proposed.

The invention discloses a management and control system for the preliminary work schedule and achievement management and control system of a power grid planning project. The management and control system comprises a client side and a server side, wherein the client side and the server side are connected through a company local area network and / or the internet; the server side comprises a deployment system data server and a system application server, wherein the deployment system server finishes the storage and the access of the preliminary work data of the power grid planning project; the system application server comprises functional modules including preliminary plan management, feasible organization management, feasible reply management, approval reporting management, project approval management, working monthly statement management, work schedule tracking, comprehensive information query and the like, preliminary plans finish being imported and are automatically distributed to each subordinate department, and the subordinate department fills in the feasible compilation, the feasible appraisal, the approval reporting and the project final approval work of each project according to project information; the finishing time of the plan is automatically recorded, a working achievement is stored, and the data of a whole process is subjected to statistic analysis so as to realize the whole process management and control of the work.

The invention provides an unmanned aerial vehicle electric power inspection point cloud intelligent processing and analysis service platform. The structure of the platform mainly comprises (a) an infrastructure layer; (b) a middleware layer; (c) an application layer; (d) a user layer. The specific construction process comprises the following steps: (1) constructing a platform framework overall architecture; (2) storing and organizing line patrol data; (3) adopting a line patrol data processing core algorithm; and (4) adopting a line patrol data rendering technology and lean application. Advantages are as follows: advanced technologies such as unmanned aerial vehicle laser radar, cloud service, real-time rendering and machine learning are comprehensively applied; related theories, algorithms and architecture systems are used as supports. Aiming at the problems of unmanned aerial vehicle power inspection point cloud in the aspects of data management, intelligent processing, lean application and the like, an integrated solution under a set of cloud computing architecture is provided, and open type storage, automatic processing, intelligent analysis and lean application of unmanned aerial vehicle power inspection results are realized.

The invention proposes a GIS based power transmission line center management system, which is used to solve the problem of low working efficiency of routing inspection of a conventional power transmission line. The system comprises at least two mobile phone terminals, a server, a web client and at least two desktop clients, wherein the mobile phone terminals, the web client and the desktop clients are all connected with the server; a tomcat service, a database and a map service are arranged in the server; and the tomcat service is connected with the database and the map service. According to the system, a Windows system client and an android client are established for accurately positioning each foundation tower, so that high integration of channel environment and line channel information in a high-precision geographic satellite map is realized and the problems of a conventional power transmission major are effectively solved; and the lean management level of the power transmission major is effectively improved, the hidden safety operation troubles of the power transmission line caused by the problems of outdated routing inspection mode, uncompleted inspection tour, low overhaul efficiency and the like are greatly reduced, and the standard operation level in the overhaul operation process is greatly improved.

The invention discloses a method for optimizing a power-failure plan based on a genetic algorithm. The power-failure plan is optimized for a distribution network, and a multi-target and multi-constraint plan model is established. The multi-target and multi-constraint plan model mainly comprises a plurality of optimization targets and a plurality of constraints, wherein the optimization targets comprise (1) power supply reliability maximization, (2) safety risk minimization, (3) working capacity balance maximization and (4) power-failure time adjustment amount minimization; and the constraints comprise (1) a same-pole failure-accompanying constraint, (2) a double-power supply constraint, (3) a power supply guaranteeing constraint, (4) a load transfer-supply over-load constraint and (5) a working capacity non-exceeding constraint. On the basis of the multi-target and multi-constraint plan model, the method comprises the following steps of: solving by using a simulated annealing algorithm; coding a decision variable Bik into a character string of which the length is i*k; randomly generating N solutions which serve as initial groups, and evaluating the performance of each solution; and performing operation for G times, evaluating the performance of each solution in the group, and returning an optimal solution.

The invention belongs to the technical field of power distribution networks, and relates to a system and a method for intelligently carrying out business expansion aided installation. According to the invention, a marketing system, a distribution network GIS system, a distribution network production system and a metering automation system in the system are integrated through an information integration platform and then perform information interaction with a business expansion aided installation system, thereby completing formulation of a power supply scheme, carrying out optimal access point analysis and intelligently analyzing the trend of an installation line. The method comprises the steps of 1, configuring a platform required by installation; 2, analyzing intelligently and selecting a power supply access point; 3, intelligently analyzing the trend of the installation line; 4, automatically generating installation power supply scheme information; and 5, determining a power supply scheme, and completing specific formulation work. According to the invention, the intelligent level and the lean management level of business expansion installation are improved; and the business expansion installation power supply scheme information is generated automatically, the work efficiency is improved, and the error rate of daily work is reduced.

The invention discloses a tobacco stem falling number metering device and a tobacco shred metering system comprising the device. The tobacco stem falling number metering device includes a mounting bracket, A measure mechanism and a splitter mechanism are arrange on that mounting bracket, The metering mechanism comprises a collecting funnel and a metering pipe, wherein the lower end of the meteringpipe is provided with a baffle plate, the rotating cylinder drives the baffle plate to be slidably connected with the lower end face of the metering pipe, the air inlet of the rotating cylinder is provided with an electromagnetic valve, the photoelectric switch and the emission plate are arranged on the inner wall of the metering pipe, and the splitting mechanism comprises a splitting funnel anda conical shunt; The invention can timely and efficiently precisely measure the amount of tobacco stem falling, thereby realizing timely and accurate adjustment of the parameters of the air separationdevice, meeting the requirements of production lean management and reducing tobacco waste while improving the air separation effect of the tobacco stem, and the invention has simple structure, smallmodification to the original equipment and low reconstruction cost.

The invention provides an intelligent power grid video linkage system and method. The system comprises a scheduling control system, an equipment operation linkage supervision platform (hereinafter referred to as the platform), video acquisition equipment capable of rotating angle and a terminal. The scheduling control system, the video acquisition equipment and the terminal are connected with the platform. The scheduling control system generates a scheduling signal (including the identifier of power grid equipment) based on the power grid equipment and then transmits the scheduling signal to the platform. The platform looks up the table according to the identifier of the power grid equipment so as to acquire the identifier and the preset position of the video acquisition equipment and transmit a control signal to the video acquisition equipment and receive a video image transmitted by the video acquisition equipment and then transmit the video image to the terminal. The identifier of the power grid equipment, the identifier of the video acquisition equipment, the preset position of the video acquisition equipment and the relationship thereof are included in the table. The video acquisition equipment transfers to the preset position according to the received control signal to acquire the video image of the power grid equipment to be transmitted to the platform. The terminal receives the video image and then displays the video image. The visual requirement of intelligent power grid regulation and control can be met by the intelligent power grid video linkage system and the intelligent power grid video linkage method.

The invention discloses a cigarette equipment differential rotational maintenance method based on entropy weight TOPSIS (technique for order of preference by similarity to ideal solution) process; the method is characterized by comprising: collecting data of various types of cigarette devices, using the entropy weight TOPSIS process to establish a cigarette equipment integrated evaluation model based on the collected data, constructing a fault tree based on scores, by the model, of the devices to be evaluated, determining a corresponding fault level of each type of faults of each device, making corresponding rotational maintenance contents for the different cigarette devices in conjunction with the scores so as to arrive at differential management; the requirement on lean equipment management is met.

The invention relates to an improving method and an improving system for lean management of a multi-cycle integrated outage plan of a large power grid. The method comprises the steps of determining a positive and negative correlation of main equipment in the power grid by analyzing a power grid topological structure, thus ensuring achieving one-outage and multi-availability of the main equipment and avoiding the occurrence of related outages; predicting a coupling relation between data and outwards transmission channels, a power grid safe operation rule and historical trend data information by analyzing contribution of a clean energy base, and determining the best outage time slot range to ensure a clean energy accommodation capacity; determining equipment groups by analyzing an incidence relation between power grid tie-line data and tie-lines and by one-ticket type circulation processing, and finding a reasonable outage time slot; and reminding of repeated outage requests caused by continuous conventional overhauling by analyzing and comparing historical outage plans, thus reducing unnecessary requests. According to the method and the system provided by the invention, a management model of the multi-cycle integrated outage plan of the large power grid which is based on the power topological structure and meets requirements of the safe operation rule and requirements of accommodation of clean energy is built, so that a lean management level of the outage plan is effectively enhanced.

The invention belongs to the technical field of power information systems, and particularly relates to a distribution network line panoramic visual data monitoring and analyzing system based on big data. The method mainly comprises the following two purposes: (1) unified data sharing of informatization data interface standards is realized, consistency maintenance of a power distribution network equipment account, a structure model and the like is realized, and the accuracy of data is ensured fundamentally; static parameter information and dynamic operation information of power distribution network equipment are combined with the spatial relationship and position information, so that the workload of repeated data maintenance of production personnel is reduced, and the working efficiency isimproved; (2) real-scene visual online monitoring and first-aid repair fusion are realized, monitoring cameras are installed on key nodes of the line, the monitoring cameras are fused with a corresponding three-dimensional model visual platform, the operation state of field power distribution equipment can be monitored in real time, and when a user in a real-scene coverage range has a fault, repair is reported.

The invention discloses a hierarchical management and control system for centralized operation and maintenance of a substation and a method thereof. The system collects and sends information in the substation, and combines the operation and maintenance information collected by a main station to centralize the operation and maintenance of the substation and perform hierarchical management and control on the substation. The method of the invention can solve the contradiction between the increasing number of substation equipments and the insufficient number of operation and maintenance personnel,lighten the work burden of the operation and maintenance personnel, break through the traditional substation operation and management mode, base on the actual situation of the substation operation and maintenance specialty, improve the management level of the substation operation and maintenance, and make the substation operation and maintenance management more scientific, standardized and reasonable.

The invention discloses a meter area electricity larceny prevention detection device and an electricity larceny prevention analysis method. The detection device comprises parameter sampling circuits,a single-chip microcomputer circuit and a power supply circuit. The parameter sampling circuits are circuits for sampling a main meter and N user meters in a meter area at the same time, each samplingcircuit is controlled by a synchronous circuit, so voltage and current parameters of N + 1 meters (N user electric energy meters and a power supply electric energy meter) can be sampled at the same time, and data obtained through sampling is processed and calculated by the single-chip microcomputer circuit. The electricity larceny prevention analysis method is divided into a voltage comparison part, a current comparison part and a power consumption comparison part; power calculation is carried out on voltage and current parameters of each electric energy meter in the user meter area, the power parameters are obtained through calculation, superposition comparison calculation is carried out on the voltage, current and power parameters, and whether an electricity larceny phenomenon occurs ornot is judged according to a calculation result. The beneficial effects of the detection device are that the device can specifically judge which phase and which household are abnormal in power utilization, and the inspection range of inspectors is reduced.

The invention relates to the technical field of circuit breakers. The invention particularly relates to an intelligent miniature circuit breaker based on the Internet of Things sea computing technology and a setting method. The circuit breaker comprises a collection unit, a monitoring unit and an execution unit; the collection unit comprises a data collection module and a signal processing module;the monitoring unit comprises a central processing unit integrating an Internet of Things sea computing algorithm and a metering module; the execution unit comprises a control module, a storage module and a communication module; the signal processing module is electrically connected with the data acquisition module and the metering module; the central processing unit is electrically connected with the metering module, the control module, the storage module and the communication module; and the data acquisition module comprises a current sampling circuit, a voltage sampling circuit, a leakagecurrent detection circuit and a temperature detection circuit, and sends current detection data, voltage detection data, leakage current detection data and temperature detection data to the central processing unit through the signal processing module and the metering module respectively.

The invitation provides a power grid enterprise renewable resources differential processing and classification method, comprising: firstly, using a compulsory processing and classification method to sort out renewable resources which have to be processed and power grid common renewable resources which do not have to be processed; using a reversed logistics cost analysis method to process the renewable resources which do not have to be processed, analyzing the surplus value of the renewable resources from the perspective of recycling, categorizing the renewable resources into valuable and salable resources and worthless renewable resources according to the surplus value; and finally, providing corresponding processing strategies specific to different renewable resources categories. The method of the invention greatly increases the renewable resources processing efficiency, improves the standard of resources lean management, and increases the economic benefit of enterprise renewable resource processing; the method can also be applied to other industries with more renewable resources such as mineral and construction industries.

The invention discloses a main transformer displacement strategy making method based on the major emergency defect rate. The method includes acquiring the key attribute data of all main transformers as the research object; calculating the major emergency defect rate of each main transformer in each operating year, performing regression analysis on the major emergency defect rate and the operating years of each main transformer, establishing a regression model of the major emergency defect rate and the operating years, and determining the model parameters by means of a least square theory; establishing a target function and a constrained condition based on the main transformer damaged degree reduction degree / displacement cost maximization principle; and obtaining the main transformer displacement strategy through the adoption of an implicit enumeration method to solve the target function. The method guarantees the main transformer risk in an acceptable range, acquires the high fund utilization efficiency, and effectively assists power grid enterprises to develop investment decisions through the establishment of the predicted model of the main transformer major emergency defect rate and based on the optimal manner of equipment damaged reduction degree cost ratio.

An electric power business hall based on the Internet of Things comprises a sensing layer, a network layer, a platform layer and an application layer, the sensing layer is used for transmitting received external user information to the network layer, and the network layer is used for interacting with an external user and obtaining cloud data from the platform layer. Therefore, when the user handles the business, the cumbersome application of the paper material is avoided, and the business handling efficiency is improved. The electric power business hall adopts the guide robot as a terminal forthe user to answer the business questions, and can replace the original part of manual answering work. After the electric power business hall is accessed to the government cloud platform, the clientinformation is associated with the certificate information, and there is no need to prepare and carry many complex certificate materials. The electric power business hall is provided with a business hall information issuing terminal, an energy-saving scheme is pushed to a user, and unnecessary energy waste is avoided. The electric vehicle experience area of the electric power business hall responds to the call of national green travel, and new energy vehicles and new energy vehicle supporting facilities are popularized.

The present invention discloses a hidden trouble and tripping risk analysis system for a power system. The system comprises a power transmission and distribution information query unit and a hidden trouble analysis unit. The power transmission and distribution information query unit and the hidden trouble analysis unit are connected through a data transmission unit. The power transmission and distribution information query unit comprises a detection module, a scheduling module and a display module. The display module is respectively connected with the detection module and the scheduling module. The hidden trouble analysis unit comprises a control module, a data processing module and an analysis module, wherein the data processing module and the analysis module are respectively connected with the control module. The scheduling module is connected with a power GIS system and a power dispatching system through serial data ports. A display unit realizes the information query for the walking path of a power transmission and distribution line and the peripheral environment thereof. The analysis module realizes the comprehensive analysis on the hidden trouble and the tripping risk of the power system, and formulates hidden trouble treatment and tripping prevention countermeasures. According to the invention, through the acquisition of the power information and the real-time analysis of data, the damage to equipment, caused by the hidden trouble and the tripping risk of the power system, can be avoided. The operation and maintenance efficiency is improved.

The invention relates to an electric power business hall equipment inspection system based on the Internet of Things. The system comprises a sensing layer, a network layer, a platform layer and an application layer, wherein the network layer is used for sending equipment state information acquired by the sensing layer to the platform layer, the platform layer is used for recording and forwarding the equipment state information, and the application layer is used for displaying the equipment state information; the electric power business hall uses the equipment inspection system to replace traditional inspectors, cancels original hall inspectors, and improves the lean management level of companies. An electric power business hall usually adopts a manual method for equipment inspection, and the intelligent level and the inspection efficiency are low. After the system is applied, a front-end terminal platform can complete patrol inspection, record generation and data transmission, and report generation can be realized in the background. Independent operation and maintenance management can be carried out on the equipment, data services can be provided for other systems, and management standardization is facilitated. Equipment faults are solved with zero time delay, and the perceptibility and satisfaction degree of electric power customers are practically improved.

The embodiment of the invention provides a double-block type ballastless track retesting method and a system. The method comprises the following steps: adjusting a retesting frame in a to-be-retestedarea of a ballastless track; setting parameters such as curve elements, a roadbed slab and a sleeper number of a data acquisition terminal, measuring a prism center of a retesting frame by using a total station so as to acquire the actual three-dimensional coordinates of any sleeper to be measured and the deviation value of the sleeper, sending deviation data and alarm information to an information management platform. The retesting system is composed of a total station, a retesting frame, a data acquisition terminal and an information management platform, sleeper deviation data can be analyzed, and construction quality problems can be found. The method and system can reflect the construction precision of the double-block ballastless track, can complete the full coverage of the construction precision inspection of the ballastless track, are high in operability and efficiency, can solve a problem of the great quality of ballast bed construction after the long track is laid, and improvethe digitalization, informatization and lean management level of track construction.

The invention discloses a multifunctional three-phase imbalance treatment device and method. The device comprises an integrated controller and a plurality of phase-change switches. The centralized controller communicates with the plurality of phase-change switches through a wireless communication module. The centralized controller detects three-phase load parameters of a transformer in a transformer area in real time, receives load parameters collected by the phase-change switch in the transformer area where the centralized controller is located, and uploads the detected three-phase load parameters and the received load parameters to a background server. The background server is connected to a man-machine interaction terminal. The method is applied to the device. A set of device integrating three-phase imbalance treatment, line loss management, transformer area fault positioning and other functions is developed by mainly using an existing phase-change switch as a platform according tothe characteristics and difficulties of operation and maintenance work of a power system, a power distribution network can be effectively monitored, and therefore active operation and maintenance areachieved, the lean management level is improved, and power supply is reliable.

The invention discloses an AI recognition system applied to distribution network operation field personnel management and control. The system comprises a face recognition module, an operation field management and control platform, a mobile terminal convenient for operators to carry, an information acquisition module and an information calculation and analysis module. According to the scheme adopted by the invention, real-time management and control on field operation states, personnel operation behaviors and safe and civilized construction can be realized, intelligent evaluation is performed on the field operation process, a digital evaluation file is established, and the safety production management and control efficiency and the lean management level of construction operation are comprehensively improved. Therefore, by adopting the scheme provided by the invention, the field personnel can be effectively managed and controlled in real time, and the safety of the field operation personnel is ensured.

The invention discloses a multichannel low-voltage shunt monitoring device based on HPLC (High Performance Liquid Chromatography) communication and a topology identification method. The device comprises an MCU (Microprogrammed Control Unit), a current acquisition circuit, a voltage acquisition circuit, a voltage comparison circuit, an RS485 interface and an HPLC (High Performance Liquid Chromatography) module, and the MCU of the device receives a switching instruction through the HPLC module and controls a load capacitor to switch according to the switching instruction; when the load capacitor is switched, a load switching characteristic signal is generated and transmitted to the power line, so that the characteristic signal detection circuit at the upper level detects the characteristic signal from the power line, and the upper-lower level relation of the whole topology is obtained. According to the invention, the digital transformation of the stock low-voltage distribution line can be realized, the topology dynamic identification of the low-voltage line is realized, and the monitoring level of the low-voltage line is improved.

The invention discloses an artificial intelligence-based distribution transformer anomaly analysis and early warning method, which comprises the following steps: performing sensitivity analysis on associated factors such as air temperature, capacity and operation age limit, constructing a TOPSIS-based evaluation algorithm by using a multi-dimensional data analysis and mining technology, constructing an evaluation model, evaluating and scoring each distribution transformer by using the TOPSIS evaluation algorithm, estimating the distribution transformer overload occurrence probability, issuingan advanced early warning notification to a professional department, providing differentiated operation and maintenance suggestions for abnormal distribution transformers according to the severity reflected by scoring, providing big data support for lean operation and maintenance of the distribution transformers, thus realizing post-event governance to pre-event pre-control, improving the advancedmonitoring, early warning and operation and maintenance level of the distribution transformers, and reducing the distribution transformer overload rate.

The invention relates to a method for identifying the position of an interconnection switch. According to the prior art, for a distribution network interconnection line, only a static feeder-distribution transformer subordination relationship is known but the actual on-off state of each switch on the interconnection line is unknown. The invention just aims to solve the above problem. The method comprises the following steps of: determining distribution transformers closest to two sides of each switch according to a topological connection relationship and ledger data; according to the acquired voltage data of the distribution transformers, calculating the voltage correlation coefficient of the distribution transformers closest to the two sides of each switch by using a correlation calculation method, and determining the switches which may be turned on; and according to the collected active power at the head end of each feeder line and the active power of each distribution transformer, calculating the active power difference between the head end and the tail end of the feeder line, thereby determining the position of an actually opened interconnection switch. According to the method, voltage data, topological data, active data and ledger data are utilized, the correlation calculation method and the active difference calculation of the head end and the tail end of each feeder line are combined; the positioning problem of an interconnection switch in an interconnection line is solved; the accuracy of distribution network branch line loss calculation is improved; line loss management and loss reduction work are assisted; and the line loss lean management level is improved.

The invention discloses a method for strengthening the transmission safety of an overhead line by using microclimate real-time monitoring information. Via the method, the accuracy and timeliness of information such as state monitoring, limit prediction, abnormal early warning and the like through reasonable point distribution of a monitoring device and panoramic perception of a microclimate operating environment can be ensured; real-time and visual real-time information support is provided for improving the dynamic and lean management level of the thermal stability limit of the power transmission equipment, optimizing the operation mode and perfecting a power grid emergency strategy; on the premise of complying with conductor temperature limit provisions, not changing the current situationof a power grid and properly arranging an on-line monitoring system, key factors such as microclimate and electrical operation are synchronously monitored, operation limit prediction and safety grading early warning are realized by applying an edge algorithm, and the problem of load section bayonet is dynamically solved; and the transmission capacity and safety of a power transmission line or a section are effectively improved.

A genetic algorithm-based power outage plan optimization method, which aims at the distribution network power outage plan optimization, and establishes the following multi-objective constraint programming model, mainly including: 1. Multiple optimization objectives: (1) Maximize power supply reliability; (2) ) Minimize safety risk; (3) Maximize workload balance; (4) Minimize power outage time adjustment; 2. Multiple constraints: (1) Same pole accompanying stop constraint; (2) Dual power supply constraint; (3) ) guarantee power supply constraint; (4) load transfer overload constraint; (5) workload not exceeding the limit constraint; on this basis, the simulated annealing algorithm is used to solve the problem, and the process is: encode the decision variable Bik into A string of i*k; randomly generate N solutions as the initial population, evaluate the performance of each solution; perform G operations, evaluate the performance of each solution in the population, and return the optimal solution among them.

The invention discloses an automatic drawing method based on a unit-based distribution network model. The initial distribution network equipment model is verified and cleaned by a model checking method, unreasonable and invalid models are eliminated, and the cleaned specifications are completely The network equipment model is converted into the whole network diagram model, and the network topology search algorithm is used to automatically cut the whole network diagram model to realize the unitization of the distribution network model, so that the distribution network feeder models are respectively "packed" into the power supply unit model, and the unit system is completed. The distribution network model is established, and the structure modeling is carried out based on the unit distribution network model equipment set to form a set of graphic elements of point and line objects, and then the elements in the station are merged according to the characteristics of the distribution network building, and the graphic element layout and wiring are operated. Generate unit system distribution network graphics, and finally optimize the generated graphics to generate the final unit system distribution network graphics; the present invention saves the cost of manual participation and improves work efficiency.