Graphical invoicing automatic generation and verification system and real-time optimization method thereof

Through the graphical invoice automatic generation and verification system, and the automatic and intelligent analysis of power grid data, the problems of slow grid operation ticket generation and low accuracy in the existing technology are solved, and efficient and accurate operation ticket generation and power grid operation management are achieved.

CN119887078APending Publication Date: 2025-04-25GUANGZHOU KETENG INFORMATION TECH
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Patent Information

Application Number
CN202411804809.X
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2024-12-10
Publication Date
2025-04-25

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Abstract

The invention discloses a graphical invoicing automatic generation and verification system and a real-time optimization method thereof, belongs to the technical field of electric power, and aims to solve the problems that the generation speed of a power grid operation ticket depends on artificial experience and judgment, and the operation is delayed or mistaken possibly. Comprising a data acquisition module used for acquiring data of current power distribution network equipment, establishing a complete power transformation information graphic library and providing basic data for an invoicing function, a graphical representation module used for performing graphical representation on equipment information, and through a graphical operation interface, power dispatching personnel can conveniently check a power grid state and operation steps; through intelligent analysis of historical data and real-time monitoring information of the power grid, the optimization model can automatically evaluate priorities, risks and execution difficulty of various operation tasks, so that the operation order suitable for the current power grid state is dynamically generated, deviation and omission of manual judgment can be effectively avoided, and errors of an operator during task execution are reduced.
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Description

Technical Field

[0001] The invention belongs to the field of electric power technology, and in particular relates to a graphical invoicing automatic generation and verification system and a real-time optimization method thereof. Background Art

[0002] When emergency maintenance measures are needed for normal power maintenance or accident handling, improving the external resistance of the power system is also a safety and confidentiality requirement of the smart grid. Only by providing complete database data information can effective measures be taken in the safe operation control. Safety measures are the core of safety work in power grid production. The maintenance of database information ensures that information is not leaked or stolen. Data must be strictly supervised in network security. Finally, the data terminal of the smart grid collects all the information of the power grid, and the security and stability of the data terminal also poses a safety hazard to the normal operation of the power grid. In particular, the data terminal of the smart grid can be remotely controlled.

[0003] The power grid is a complex, large-scale system involving multiple links such as power generation, transmission, distribution, and power consumption. The operation ticket (also known as the operation instruction or operation work ticket) is an important document tool in the operation of the power grid, which is used to guide the power grid operators to perform various operation tasks, such as switching equipment, overhaul and maintenance, and equipment start and stop. The generation of the operation ticket is usually manually written by the power grid dispatcher or equipment management personnel according to the real-time situation of the power grid, the equipment status, and the operation requirements.

[0004] Traditional methods rely on human experience and judgment, especially in complex power grid environments. Inexperience or misjudgment of operators may lead to operational errors. In particular, due to the cumbersome process of manual filling and review, the generation speed of power grid operation tickets is relatively slow. Especially when the power grid load changes greatly and emergency tasks are frequent, the timeliness of operation tickets often cannot meet actual needs, which may lead to operational delays or errors.

[0005] Therefore, a graphical invoicing automatic generation and verification system and a real-time optimization method thereof are needed to solve the problems existing in the prior art that the system relies on manual experience and judgment, and that the generation speed of power grid operation tickets is relatively slow, which may lead to operational delays or errors. Summary of the invention

[0006] The purpose of the present invention is to provide a graphical invoicing automatic generation and verification system and a real-time optimization method thereof to solve the problems raised in the above-mentioned background technology.

[0007] To achieve the above object, the present invention provides the following technical solution: a graphical invoicing automatic generation and verification system, comprising:

[0008] The data acquisition module is used to obtain the data of the current distribution network equipment, establish a complete substation information graphic library, and provide basic data for the invoicing function;

[0009] The graphical representation module is used to graphically represent equipment information. Through the graphical operation interface, power dispatchers can easily view the power grid status and operation steps;

[0010] The automatic generation module automatically generates a draft of the distribution network operation ticket based on the equipment status and power dispatch instructions, and outputs it in a predetermined format, reducing manual intervention;

[0011] The real-time verification module is used to automatically check whether the content of the draft operation ticket complies with the requirements of electrical operation regulations, equipment operation sequence, etc., to ensure the accuracy and compliance of the draft operation ticket;

[0012] The review module sends the draft of the verified operation ticket to the superior dispatcher or equipment supervisor for review to obtain the final operation ticket;

[0013] The real-time monitoring unit includes a monitoring module and a feedback module. The monitoring module is used to monitor the operation steps in real time, check the equipment status and operation progress, and ensure that the task is completed on time. The feedback module is used to provide real-time feedback on the equipment information after the operation is completed;

[0014] The optimization module optimizes and dynamically adjusts the automatic generation method of operation tickets based on the analysis of historical grid operation data and operation ticket history records, thereby improving issuance efficiency and reducing the probability of errors.

[0015] It should be noted in the plan that the data of the distribution network equipment includes the basic information of the equipment, the operating status of the equipment, the equipment connection and topological relationship, the protection and control settings of the equipment, the maintenance and repair records of the equipment, the electrical operation history records, the power grid operating parameters, safety and emergency management information, the environmental and meteorological data of the substation, the graphical equipment status display and the geographical location information of the equipment.

[0016] The real-time optimization method for automatic generation and verification of graphical invoicing is used to implement the above-mentioned automatic generation and verification system of graphical invoicing, including:

[0017] Obtain data on current distribution network equipment, establish a complete substation information graphics library, and provide basic data for the invoicing function;

[0018] Based on the substation information graphic library, input the task type and automatically generate the operation ticket draft;

[0019] Automatically check the operation steps based on the draft of the operation ticket;

[0020] Based on the draft operation ticket, the system automatically submits it to the superior dispatcher or equipment supervisor for review; the operation ticket is obtained;

[0021] Execute operations according to the operation ticket, and the system monitors the operation steps in real time;

[0022] After the operation is completed, the execution record of the operation ticket is automatically archived and a record report is generated;

[0023] Based on feedback from historical records and equipment data, the automatic generation method of operation tickets is optimized and dynamically adjusted.

[0024] It is further worth noting that the automatic verification of the operation steps based on the operation ticket draft includes:

[0025] The system obtains the status and operation data of the equipment through real-time data acquisition systems such as SCADA and DCS;

[0026] Determine whether the equipment meets the operating conditions, such as whether it is in normal operation, whether it has any faults, and whether it can perform the current task;

[0027] If the equipment status does not meet the requirements, the system will trigger an abnormal alarm and prompt the dispatcher that the equipment does not meet the operating conditions, and the system will mark the equipment abnormality information in the equipment model;

[0028] For abnormal status, the operation steps need to be changed to meet the equipment status;

[0029] According to the operation steps, determine whether it is suitable for the corresponding device;

[0030] Analyze the impact of the task on the grid topology and determine whether the execution of the task will cause failures or instability in other parts of the grid; if it is found that the task does not match the equipment, the system will refuse to generate an operation ticket and require the dispatcher to reschedule the task.

[0031] It should be further explained that the record report includes task completion time, operator, operation steps and equipment status, etc., generates a report, provides statistical data and analysis reports on task execution, and helps managers make equipment maintenance and scheduling decisions.

[0032] As a preferred implementation, the optimization and dynamic adjustment of the automatic generation method of generating operation tickets based on the historical record report and the feedback of the equipment data includes:

[0033] Get historical reports and device data;

[0034] Build an optimization objective function to dynamically adjust the execution order, priority, and operation ticket content of tasks;

[0035] Use machine learning methods to predict the performance of tasks and optimize the task generation process;

[0036] Provide data feedback on equipment information based on task execution steps and changes in power grid status;

[0037] Adjust the priority or execution order of subsequent tasks based on feedback data.

[0038] As a preferred implementation, the prediction of the execution effect of the task includes conducting supervised learning through historical record reports to establish a regression model to predict the execution effect of a task:

[0039]

[0040] in, represents the risk value predicted after the task is executed, x1,x2,...,x n is the input feature, and f is a regression function that predicts the risk value based on the input feature;

[0041] Through these prediction results, the strategy for generating operation tickets can be adjusted dynamically.

[0042] Compared with the prior art, the graphical invoicing automatic generation and verification system and real-time optimization method provided by the present invention have at least the following beneficial effects:

[0043] (1) Through intelligent analysis of historical grid data and real-time monitoring information, the optimization model can automatically evaluate the priority, risk, and execution difficulty of various operation tasks, thereby dynamically generating operation tickets suitable for the current grid status. This can effectively avoid deviations and omissions in manual judgment, reduce operator errors in task execution, improve operation accuracy, and realize the intelligence and automation of the operation process.

[0044] (2) Through real-time analysis of the status of power grid equipment and task complexity, the optimization model can adjust the execution order of tasks in real time to ensure that key tasks are executed first, while avoiding redundant operations, improving the efficiency of the operation process, and ensuring maximum resource utilization.

[0045] (3) The optimization model is set up to dynamically adjust the content of the operation ticket, taking into account factors such as the health status of the power grid equipment and the task risk, thereby minimizing the safety risks that may be caused during the operation and improving the overall operation efficiency and safety of the power grid. BRIEF DESCRIPTION OF THE DRAWINGS

[0046] Figure 1 A flowchart of the graphical invoicing automatic generation and verification real-time optimization method of the present invention;

[0047] Figure 2 It is a structural block diagram of the graphical invoicing automatic generation and verification system of the present invention;

[0048] Figure 3 The present invention is a flow chart of a method for automatically verifying operation steps based on an operation ticket draft. DETAILED DESCRIPTION

[0049] The present invention will be further described below in conjunction with the embodiments.

[0050] Reference Figure 2 As shown, the present invention provides a graphical invoicing automatic generation and verification system, comprising:

[0051] The data acquisition module is used to obtain the data of the current distribution network equipment, establish a complete substation information graphic library, and provide basic data for the invoicing function;

[0052] The graphical representation module is used to graphically represent equipment information. Through the graphical operation interface, power dispatchers can easily view the power grid status and operation steps;

[0053] The automatic generation module automatically generates a draft of the distribution network operation ticket based on the equipment status and power dispatch instructions, and outputs it in a predetermined format, reducing manual intervention;

[0054] The real-time verification module is used to automatically check whether the content of the draft operation ticket complies with the requirements of electrical operation regulations, equipment operation sequence, etc., to ensure the accuracy and compliance of the draft operation ticket;

[0055] The review module sends the draft of the verified operation ticket to the superior dispatcher or equipment supervisor for review to obtain the final operation ticket;

[0056] The real-time monitoring unit includes a monitoring module and a feedback module. The monitoring module is used to monitor the operation steps in real time, check the equipment status and operation progress, and ensure that the task is completed on time. The feedback module is used to provide real-time feedback on the equipment information after the operation is completed;

[0057] The optimization module optimizes and dynamically adjusts the automatic generation method of operation tickets based on the analysis of historical grid operation data and operation ticket history records, thereby improving issuance efficiency and reducing the probability of errors.

[0058] Among them, the data of distribution network equipment includes basic information of equipment (such as equipment type, equipment name and number, equipment model and specifications), operating status of equipment (such as current operating status, load information, operating time and operating cycle, fault information, tripping and recovery records), equipment connection and topological relationship (such as equipment connection relationship, upstream and downstream relationship of equipment, distribution area division), equipment protection and control settings (such as protection settings, control settings and operation permissions, remote control and automation settings), equipment maintenance and repair records (maintenance history records, regular inspection and maintenance plans, equipment life cycle), electrical operation history records (such as historical operation records, operator information), power grid operation parameters (power grid frequency and voltage, load and power supply status), safety and emergency management information (safety alarm information, emergency operation instructions and emergency procedures, work permits and operation guidelines), substation environment and meteorological data (environmental information, meteorological warning information), graphical equipment status display (graphical view, electrical diagram and schematic diagram), and equipment geographic location information.

[0059] The complete substation information graphics library not only helps power dispatchers quickly obtain the required equipment and operation information, but also helps the system accurately generate operation tickets that comply with power system safety regulations, improve the system's automation and intelligence level, and ensure the safe and stable operation of power equipment.

[0060] Based on the acquired equipment data, an equipment model is established, the equipment data is graphically represented, and a substation information graphics library is established.

[0061] For further information, please refer to Figure 1 As shown, the invention concept of the graphical invoicing automatic generation and verification system is the same. This solution proposes a graphical invoicing automatic generation and verification real-time optimization method, including:

[0062] Obtain data on current distribution network equipment, establish a complete substation information graphics library, and provide basic data for the invoicing function;

[0063] Based on the substation information graphic library, input the task type and automatically generate the operation ticket draft;

[0064] Automatically check the operation steps based on the draft of the operation ticket;

[0065] Based on the draft operation ticket, the system automatically submits it to the superior dispatcher or equipment supervisor for review; the operation ticket is obtained;

[0066] Execute operations according to the operation ticket, and the system monitors the operation steps in real time;

[0067] After the operation is completed, the execution record of the operation ticket is automatically archived and a record report is generated;

[0068] Based on feedback from historical records and equipment data, the automatic generation method of operation tickets is optimized and dynamically adjusted.

[0069] The method of inputting the task type and automatically generating a draft operation ticket based on the substation information graphic library includes inputting or selecting the task type to be performed. The system automatically analyzes factors such as the current load of the power grid and the equipment status based on the input task requirements to confirm the feasibility of the task; automatically matches the equipment and generates operation steps based on the scheduling task and equipment model. The system automatically fills in the specific operation steps of the operation ticket and generates a draft operation ticket.

[0070] Reference Figure 3 As shown, the automatic verification of the operation steps based on the operation ticket draft includes:

[0071] The system obtains the status and operation data of the equipment through real-time data acquisition systems such as SCADA and DCS;

[0072] Determine whether the equipment meets the operating conditions, such as whether it is in normal operation, whether it has any faults, and whether it can perform the current task;

[0073] If the equipment status does not meet the requirements, the system will trigger an abnormal alarm and prompt the dispatcher that the equipment does not meet the operating conditions, and the system will mark the equipment abnormality information in the equipment model;

[0074] For abnormal status, the operation steps need to be changed to meet the equipment status;

[0075] According to the operation steps, determine whether it is suitable for the corresponding device;

[0076] Analyze the impact of the task on the grid topology and determine whether the execution of the task will cause failures or instability in other parts of the grid; if it is found that the task does not match the equipment, the system will refuse to generate an operation ticket and require the dispatcher to reschedule the task.

[0077] After the operation is completed, the system will automatically archive the execution record of the operation ticket, including the task completion time, operator, operation steps and equipment status, generate reports, provide statistical data and analysis reports on task execution, and help managers make equipment maintenance and scheduling decisions.

[0078] It is understandable that the optimization and dynamic adjustment of the automatic generation method of generating operation tickets based on the historical record report and the feedback of the equipment data includes:

[0079] Get historical reports and device data;

[0080] Build an optimization objective function to dynamically adjust the execution order, priority, and operation ticket content of tasks;

[0081] Use machine learning methods to predict the performance of tasks and optimize the task generation process;

[0082] Provide data feedback on equipment information based on task execution steps and changes in power grid status;

[0083] Adjust the priority or execution order of subsequent tasks based on feedback data.

[0084] It is understandable that the execution effect of the predicted task includes supervised learning through historical record reports, establishing a regression model, and predicting the execution effect of a task:

[0085]

[0086] in, represents the risk value predicted after the task is executed (such as the probability of failure), x1, x2, ..., x n is the input feature (such as device status, task type, etc.), f is a regression function, which is based on the input features x1,x2,...,x n To predict the risk value.

[0087] Through these prediction results, the strategy for generating operation tickets can be dynamically adjusted, such as prioritizing high-risk tasks, adjusting the order of operations, etc.

[0088] The usage process of the above-mentioned graphical invoicing automatic generation and verification system is as follows:

[0089] Step 1: Obtain the real-time data of the current distribution network equipment through the data acquisition module. These data are used to establish a complete substation information graphic library and provide basic data for subsequent operation ticket generation;

[0090] Step 2: The graphical representation module is used to graphically represent the equipment information. Through the graphical operation interface, the power dispatcher can easily view the power grid status and operation steps;

[0091] Step 3: According to the equipment status and dispatch instructions, the automatic generation module automatically generates a draft operation ticket;

[0092] Step 4: Use the real-time verification module to automatically check whether the content of the draft operation ticket complies with the requirements of electrical operation procedures, equipment operation sequence, etc.;

[0093] Step 5: Send the draft operation ticket after verification to the superior dispatcher or equipment supervisor for review through the review module to obtain the final operation ticket;

[0094] Step 6: Use the monitoring module to monitor the operation steps in real time, check the equipment status and operation progress, and ensure that the task is completed on time;

[0095] Step 7: Use the feedback module to provide real-time feedback on the device information after the operation is completed, ensure that the device status is updated in a timely manner, and provide feedback information for historical data analysis;

[0096] Step 8: The optimization module continuously optimizes the method of automatically generating operation tickets based on historical operation data, the execution status of operation tickets, and error records of past operation tickets, improves the system's automation level and intelligent capabilities, and continuously optimizes the accuracy and efficiency of operation ticket generation.

[0097] To sum up, the advantages of the present invention are: through intelligent analysis of historical data and real-time monitoring information of the power grid, the optimization model can automatically evaluate the priority, risk and execution difficulty of various operation tasks, thereby dynamically generating operation tickets suitable for the current power grid status, which can effectively avoid deviations and omissions in manual judgment, reduce operator errors in task execution, improve operation accuracy, and realize the intelligence and automation of the operation process; through real-time analysis of the power grid equipment status and task complexity, the optimization model can adjust the execution order of tasks in real time to ensure that key tasks are executed first, while avoiding redundant operations, improving the efficiency of the operation process, and ensuring maximum resource utilization; through the set optimization model, by dynamically adjusting the content of the operation ticket, taking into account factors such as the health status of the power grid equipment and task risks, it can minimize the safety risks that may be caused during the operation process and improve the overall operation efficiency and safety of the power grid.

[0098] The above shows and describes the basic principles, main features and advantages of the present invention. Those skilled in the art should understand that the present invention is not limited to the above embodiments. The above embodiments and descriptions only describe the principles of the present invention. The present invention may be subject to various changes and improvements without departing from the spirit and scope of the present invention. These changes and improvements fall within the scope of the present invention. The scope of protection claimed by the present invention is defined by the attached claims and their equivalents.

Claims

1. Graphical invoicing automatic generation and verification system, characterized by: include: The data acquisition module is used to obtain the data of the current distribution network equipment, which is convenient for building a complete substation information graphic library and providing basic data for the invoicing function; The graphical representation module is used to graphically represent equipment information. Through the graphical operation interface, power dispatchers can easily view the power grid status and operation steps; The automatic generation module automatically generates a draft of the distribution network operation ticket based on the equipment status and power dispatch instructions, and outputs it in a predetermined format, reducing manual intervention; The real-time verification module is used to automatically check whether the content of the draft operation ticket complies with the requirements of electrical operation regulations, equipment operation sequence, etc., to ensure the accuracy and compliance of the draft operation ticket; The review module is used to send the draft operation ticket after verification to the superior dispatcher or equipment supervisor for review to obtain the final operation ticket; The real-time monitoring unit includes a monitoring module and a feedback module. The monitoring module is used to monitor the operation steps in real time, check the equipment status and operation progress, and ensure that the task is completed on time. The feedback module is used to provide real-time feedback on the equipment information after the operation is completed; The optimization module optimizes and dynamically adjusts the automatic generation method of operation tickets based on the analysis of historical grid operation data and operation ticket history records, thereby improving issuance efficiency and reducing the probability of errors.

2. The graphical invoicing automatic generation and verification system and real-time optimization method thereof according to claim 1 is characterized by: The data of the distribution network equipment includes basic information of the equipment, operating status of the equipment, equipment connection and topological relationship, protection and control settings of the equipment, maintenance and repair records of the equipment, electrical operation history records, power grid operating parameters, safety and emergency management information, environmental and meteorological data of the substation, graphical equipment status display and geographical location information of the equipment.

3. The real-time optimization method for automatic generation and verification of graphical invoicing is used to implement the automatic generation and verification system of graphical invoicing as claimed in any one of claims 1-2, characterized in that: include: Obtain data on current distribution network equipment, establish a complete substation information graphics library, and provide basic data for the invoicing function; Based on the substation information graphic library, input the task type and automatically generate the operation ticket draft; Automatically check the operation steps based on the draft of the operation ticket; Based on the draft operation ticket, the system automatically submits it to the superior dispatcher or equipment supervisor for review to obtain the operation ticket; Execute operations according to the operation ticket, and the system monitors the operation steps in real time; After the operation is completed, the execution record of the operation ticket is automatically archived and a record report is generated; Based on feedback from historical records and equipment data, the automatic generation method of operation tickets is optimized and dynamically adjusted.

4. The graphical invoicing automatic generation and verification system according to claim 3 is characterized in that: The automatic verification of the operation steps based on the operation ticket draft includes: The system obtains the status and operation data of the equipment through real-time data acquisition systems such as SCADA and DCS; Determine whether the equipment meets the operating conditions, such as whether it is in normal operation, whether it has any faults, and whether it can perform the current task; If the equipment status does not meet the requirements, the system will trigger an abnormal alarm and prompt the dispatcher that the equipment does not meet the operating conditions, and the system will mark the equipment abnormality information in the equipment model; For abnormal status, the operation steps need to be changed to meet the equipment status; According to the operation steps, determine whether it is suitable for the corresponding device; Analyze the impact of the task on the grid topology and determine whether the execution of the task will cause failures or instability in other parts of the grid; if it is found that the task does not match the equipment, the system will refuse to generate an operation ticket and require the dispatcher to reschedule the task.

5. The graphical invoicing automatic generation and verification system according to claim 4 is characterized by: The record report includes task completion time, operator, operation steps and equipment status, etc., generates a report, provides statistical data and analysis reports on task execution, and helps managers make equipment maintenance and scheduling decisions.

6. The graphical invoicing automatic generation and verification system according to claim 5 is characterized in that: The optimization and dynamic adjustment of the automatic generation method of generating operation tickets based on the feedback of historical record reports and equipment data include: Get historical reports and device data; Build an optimization objective function to dynamically adjust the execution order, priority, and operation ticket content of tasks; Use machine learning methods to predict the performance of tasks and optimize the task generation process; Provide data feedback on equipment information based on task execution steps and changes in power grid status; Adjust the priority or execution order of subsequent tasks based on feedback data.