Illegal identification method and system for safe operation of electric power system

Abstract

The invention discloses a violation identification method for safety operation of an electric power system. The method comprises the following steps: acquiring data information of safety operation of all electric power systems needing to be monitored; dividing each power system safety operation process according to construction scenes and construction steps to obtain an operation step set file; selecting a plurality of corresponding artificial intelligence algorithms for safety detection of the corresponding operation steps; setting and binding relationships among the artificial intelligence algorithms; generating a scheduling file and issuing the scheduling file to the power system safety operation monitoring system; and the power system safety operation monitoring system performs violation identification in the power system safety operation process according to the received scheduling file. The invention also discloses a system for realizing the violation identification method for the safe operation of the electric power system. The method not only can realize violation identification of safe operation of the electric power system, but also is higher in reliability, better in accuracy, better in applicability and higher in efficiency.

Description

Technical Field

[0001] The invention belongs to the field of electrical automation, and in particular relates to a violation identification method and system for safe operation of an electric power system. Background Art

[0002] With the development of economy and technology and the improvement of people's living standards, electricity has become an indispensable secondary energy source in people's production and life, bringing endless convenience to people's production and life. Therefore, ensuring the stable and reliable supply of electricity has become one of the most important tasks of the power system.

[0003] Power system operation is an important prerequisite for ensuring the safe and stable operation of the power system. During the power system operation, the safety of the power system operators is of paramount importance. Therefore, the identification of violations during the power system operation is of great significance for the safe operation of the power system.

[0004] At present, the scheme for identifying violations in the power system operation process often adopts the scheme of manual identification, that is, the power safety personnel manually monitor the complete process of power operation on site or before video surveillance. However, it is obvious that the reliability and accuracy of this monitoring method are poor, and the efficiency is also poor. At present, although some researchers have applied artificial intelligence algorithms to the power safety operation process, the existing schemes only monitor a certain link in the power operation link; this monitoring scheme also has the problems of poor versatility and poor efficiency. Summary of the invention

[0005] One of the purposes of the present invention is to provide a violation identification method for safe operation of a power system with high reliability, good accuracy, good versatility and high efficiency.

[0006] A second object of the present invention is to provide a system for implementing the violation identification method for safe operation of the power system.

[0007] The violation identification method for safe operation of a power system provided by the present invention comprises the following steps:

[0008] S1. Obtain all data and information on power system safety operations that need to be monitored;

[0009] S2. Based on the data information obtained in step S1, each power system safety operation process is divided according to the construction scene and construction steps to obtain an operation step set file;

[0010] S3. For the step set file obtained in step S2, select several corresponding artificial intelligence algorithms from the set of trained artificial intelligence algorithms for safety detection of corresponding operation steps;

[0011] S4. In the artificial intelligence algorithm selected in step S3, the relationship between the artificial intelligence algorithms is set, and the set data information is bound to the corresponding operation steps;

[0012] S5. Generate a dispatch file based on the data information obtained in step S4 and send it to the power system safety operation monitoring system;

[0013] S6. The power system safety operation monitoring system identifies violations during the power system safety operation process based on the received dispatch files.

[0014] The step S1 of obtaining all the data information of the power system safety operation that needs to be monitored specifically includes the following steps:

[0015] For all power system safety operations that need to be monitored, obtain data information of each power system safety operation during the standard operation process;

[0016] The data information of the power system safety operation in the standard operation process includes the total number of operators, the total number of operating equipment, the type of operating equipment, the status of operating equipment, the number of operating process scenes, the data information of each operating process scene and the related information between the operating process scenes;

[0017] The data information of the operation process scene includes the number of operators in the operation process scene, the number of operating equipment in the operation process scene, the type of operating equipment in the operation process scene and the safety data information of the operation process scene;

[0018] The safety data information of the operation process scene, including the safety distance information of the operation process scene;

[0019] The related information between the operation process scenes includes the sequence relationship information between any two operation process scenes.

[0020] According to the data information obtained in step S1, each power system safety operation process is divided according to the construction scene and construction steps to obtain an operation step set file, which specifically includes the following steps:

[0021] According to the data information obtained in step S1, each power system safety operation process is divided according to the construction scene and construction steps:

[0022] Divide each power system safety operation into several construction scenarios;

[0023] Divide each construction scene into several construction steps;

[0024] Finally, several job step collection files are obtained.

[0025] In step S3, for the step set file obtained in step S2, several corresponding artificial intelligence algorithms are selected from the set of trained artificial intelligence algorithms for safety detection of corresponding operation steps, which are specifically listed as follows:

[0026] Based on the Fast RCNN model and the Yolo model, the safety detection of the operation steps is realized; specifically, the following are included:

[0027] Personnel identification: including face recognition, security officer identification and personnel counting

[0028] Identification of unsafe behaviors of personnel: including safety belts, helmets, work clothes, differentials, gathering of personnel, falling of personnel, illegal climbing, identification of climbing foot buckles, double hook identification, illegal leaning and illegal smoking;

[0029] Identification of unsafe factors in the environment: including narrow area identification, area intrusion, foreign object identification, identification of unsafe factors in live working and identification of fireworks; among them, narrow area identification includes: narrow area identification, identification of protective covers for live equipment, identification of wire grounding, identification of warning signs and identification of safe distances; area intrusion includes: small animal intrusion, non-motor vehicle parking, unplanned vehicle entry and intrusion by non-staff; foreign object identification includes: bird nests, accumulations in the construction area, water accumulation in the construction area, illegal parking of vehicles in the construction area and waste materials in the construction area; unsafe factors in live working include: metal ladder identification, metal tool identification, safe distance identification, insulated boots and insulated gloves identification; fireworks identification includes active fire identification, flame identification and smoke identification;

[0030] Power equipment status recognition: including meter reading recognition, license plate recognition, insulator rupture, metal corrosion, tower tilt, transformer vibration monitoring and transformer voiceprint monitoring;

[0031] Intelligent identification and analysis of illegal operations: including identification of double hooks hanging high and using low, identification of the absence of the safety officer, identification of the guardian of the high-altitude operation, and identification of not wearing a differential when climbing high;

[0032] According to the step set file obtained in step S2, a corresponding artificial intelligence algorithm is selected from the constructed artificial intelligence algorithm set for safety detection of the corresponding operation step.

[0033] Step S4 sets the relationship between the artificial intelligence algorithms selected in step S3, and binds the set data information with the corresponding operation steps, which specifically includes the following steps:

[0034] According to the relevant information between various operation process scenarios of each power system safety operation in the standard operation process, the relationship between various artificial intelligence algorithms is set;

[0035] The setting of the relationship between the various artificial intelligence algorithms is specifically to set the corresponding order relationship information between the artificial intelligence algorithms according to the order relationship information between any two operation process scenes;

[0036] Bind the set data information with the corresponding operation steps.

[0037] The power system safety operation monitoring system described in step S6 performs violation identification in the power system safety operation process according to the received dispatch file, which specifically includes the following steps:

[0038] The power system safety operation monitoring system identifies violations during the power system safety operation process based on the received dispatch files:

[0039] If any violation information is identified, the police will be notified directly;

[0040] The violation information includes violations of the operating process sequence, safety distance, number of operating personnel and operating equipment.

[0041] The present invention also provides a system for implementing the violation identification method for power system safety operation, comprising a data acquisition module, a step division module, an algorithm selection module, a relationship setting module, a scheduling generation module and a violation identification module; the data acquisition module, the step division module, the algorithm selection module, the relationship setting module, the scheduling generation module and the violation identification module are connected in series in sequence; the data acquisition module is used to acquire data information of all power system safety operations that need to be monitored, and upload the data information to the step division module; the step division module is used to divide each power system safety operation process according to the construction scene and the construction steps according to the received data information, obtain the operation step set file, and upload the data information to the algorithm selection module; the algorithm selection module is used to select the steps obtained according to the received data information. A step collection file is used to select several corresponding artificial intelligence algorithms from the trained artificial intelligence algorithm set for safety detection of the corresponding operation steps, and upload the data information to the relationship setting module; the relationship setting module is used to set the relationship between each artificial intelligence algorithm in the selected artificial intelligence algorithm according to the received data information, and bind the set data information with the corresponding operation step, and upload the data information to the scheduling generation module; the scheduling generation module is used to generate a scheduling file according to the received data information, and issue it to the power system safety operation monitoring system, and upload the data information to the violation recognition module; the violation recognition module is used to identify violations in the power system safety operation process according to the received data information, the power system safety operation monitoring system, and the received scheduling file.

[0042] The violation identification method and system for safe operation of an electric power system provided by the present invention decomposes the safe operation process of the electric power system, and for each step in each scenario, specifically selects an artificial intelligence algorithm to identify violations, and performs safety monitoring of the operation process of the electric power system based on the identification results; therefore, the present invention can not only realize the violation identification for safe operation of the electric power system, but also has higher reliability, better accuracy, better applicability and higher efficiency. BRIEF DESCRIPTION OF THE DRAWINGS

[0043] Figure 1 The figure is a schematic diagram of the method flow of the present invention.

[0044] Figure 2 The figure is a schematic diagram of the application effect of the method embodiment of the present invention.

[0045] Figure 3 Schematic diagram of the functional modules of the system of the present invention. DETAILED DESCRIPTION

[0046] like Figure 1The method flow chart of the method of the present invention is shown as follows: The violation identification method for safe operation of the power system disclosed in the present invention comprises the following steps:

[0047] S1. Obtain all data information on power system safety operations that need to be monitored; specifically, the following steps are included:

[0048] For all power system safety operations that need to be monitored, obtain data information of each power system safety operation during the standard operation process;

[0049] The data information of the power system safety operation in the standard operation process includes the total number of operators, the total number of operating equipment, the type of operating equipment, the status of operating equipment, the number of operating process scenes, the data information of each operating process scene and the related information between the operating process scenes;

[0050] The data information of the operation process scene includes the number of operators in the operation process scene, the number of operating equipment in the operation process scene, the type of operating equipment in the operation process scene and the safety data information of the operation process scene;

[0051] The safety data information of the operation process scene, including the safety distance information of the operation process scene;

[0052] The related information between the operation process scenes, including the sequential relationship information between any two operation process scenes;

[0053] The order of each scene is mainly related to the safety of the operation process. For example, during live operation, a temporary grounding wire must be connected before live operation. At this time, the order of the two operation process scenes is directly related to the safety of the operation.

[0054] The safety distance information of the operation process scene is mainly related to the safety distance of the operation process. If the operation process exceeds the safety distance, it may cause a safety accident; therefore, the monitoring of the safety distance is also of utmost importance;

[0055] During the operation, the relevant operating equipment in the construction site, such as operating vehicles, equipment used, and the status of operating equipment, need to be strictly controlled. Vehicles are identified and counted through algorithms, and areas that vehicles cannot enter are limited. Algorithms can be used to identify and alarm;

[0056] S2. Based on the data information obtained in step S1, each power system safety operation process is divided according to the construction scene and construction steps to obtain an operation step set file; specifically, the following steps are included:

[0057] According to the data information obtained in step S1, each power system safety operation process is divided according to the construction scene and construction steps:

[0058] Divide each power system safety operation into several construction scenarios;

[0059] Divide each construction scene into several construction steps;

[0060] Finally, several job step set files are obtained;

[0061] S3. For the step set file obtained in step S2, select several corresponding artificial intelligence algorithms from the set of trained artificial intelligence algorithms for safety detection of corresponding operation steps; specifically including the following:

[0062] Based on the Fast RCNN model and the Yolo model, the safety detection of the operation steps is realized; specifically, the following are included:

[0063] Personnel identification: including face recognition, security officer identification and personnel counting;

[0064] Identification of unsafe behaviors of personnel: including safety belts, helmets, work clothes, differentials, gathering of personnel, personnel falls, illegal climbing, identification of climbing foot buckles, double hook identification, illegal leaning and illegal smoking, etc.

[0065] Identification of unsafe factors in the environment: including narrow area identification, area intrusion, foreign object identification, identification of unsafe factors in live working, and identification of fireworks, etc.; among them, narrow area identification includes: narrow area identification, identification of protective covers for live equipment, identification of wire grounding, identification of warning signs, and identification of safe distances, etc.; area intrusion includes: small animal intrusion, non-motor vehicle parking, unplanned vehicle entry, and intrusion by non-staff, etc.; foreign object identification includes: bird nests, accumulations in the construction area, water accumulation in the construction area, illegal parking of vehicles in the construction area, and waste materials in the construction area, etc.; unsafe factors in live working include: metal ladder identification, metal tool identification, safe distance identification, and identification of insulated boots and insulated gloves, etc.; fireworks identification includes identification of hot work, flame identification, and smoke identification, etc.;

[0066] Power equipment status recognition: including meter reading recognition, license plate recognition, insulator rupture, metal corrosion, tower tilt, transformer vibration monitoring and transformer soundprint monitoring, etc.;

[0067] Intelligent identification and analysis of illegal operations: including identification of double hooks hanging high and using low, identification of the absence of the safety officer, identification of the guardian of the high-altitude operation, and identification of not wearing a differential when climbing high;

[0068] According to the step set file obtained in step S2, a corresponding artificial intelligence algorithm is selected from the constructed artificial intelligence algorithm set for safety detection of the corresponding operation step;

[0069] S4. In the artificial intelligence algorithm selected in step S3, the relationship between the artificial intelligence algorithms is set, and the set data information is bound to the corresponding operation steps; specifically, the following steps are included:

[0070] According to the relevant information between various operation process scenarios of each power system safety operation in the standard operation process, the relationship between various artificial intelligence algorithms is set;

[0071] The setting of the relationship between the various artificial intelligence algorithms is specifically to set the corresponding order relationship information between the artificial intelligence algorithms according to the order relationship information between any two operation process scenes;

[0072] Bind the set data information with the corresponding operation steps;

[0073] S5. Generate a dispatch file based on the data information obtained in step S4 and send it to the power system safety operation monitoring system;

[0074] On the risk management and control platform, after the work order is generated, the corresponding management personnel will divide the specific scenario into specific steps according to the construction category, and select the corresponding algorithm from the system algorithm library to match each step, or they can choose not to match the algorithm. When running, the corresponding step will not start the algorithm; then set the algorithm threshold, time, dependency and other operating parameters, and generate files according to the described format;

[0075] When the device is running, it connects to the system, obtains the dispatch file corresponding to the corresponding work order based on the device's unique identifier, and then executes according to the dispatch file;

[0076] S6. The power system safety operation monitoring system identifies violations during the power system safety operation process according to the received dispatch file; specifically, the following steps are included:

[0077] The power system safety operation monitoring system identifies violations during the power system safety operation process based on the received dispatch files:

[0078] If any violation information is identified, the police will be notified directly;

[0079] The violation information includes violations of the operating process sequence, safety distance, number of operating personnel and operating equipment.

[0080] The method of the present invention is further described below in conjunction with an embodiment:

[0081] Take climbing to replace insulators as an example:

[0082] First, the granting stage:

[0083] The preparation work includes ensuring that the operators have received professional training and have the necessary skills and safety knowledge; preparing the necessary tools and equipment, such as cranes, lifting ropes, and clamps; inspecting the new insulators to ensure that they are intact and meet national standards; and using corresponding artificial intelligence algorithms to detect the tools and equipment, as well as the new insulators.

[0084] Then, climb the tower:

[0085] Use a crane or ladder to climb the tower; [according to the priority algorithm, they are: safety belt recognition, crane recognition, double hook recognition, differential recognition, double hook high hanging and low use recognition, foot buckle recognition, etc.]

[0086] Ensure that a sufficient safe distance is maintained from live equipment; [If the work ticket indicates that it is live work, the following identification processes are also included: insulating boots identification, insulating gloves identification, safe distance identification, etc.]

[0087] Next, replace the insulator:

[0088] Use a lifting rope or other tools to remove the insulator to be replaced from the tower; [The inspection process includes double hook high hanging low use identification, etc.]

[0089] Install new insulators in the correct locations;

[0090] Security Check:

[0091] Check whether the insulators are installed in the correct position and whether they pose a threat to the safe operation of the power system;

[0092] End of assignment:

[0093] Clean up the work site to ensure that there are no tools or materials left behind; [At this time, this includes checking the total number of workers and the total number of equipment to prevent missing personnel and lost equipment, etc.]

[0094] The operating personnel descended the tower safely and completed the operation [the monitoring process includes crane identification; double hook identification; differential identification; double hook high hanging and low use identification, etc.].

[0095] In the process of forming the scheduling file, the content of the scheduling file includes the confidence threshold of each algorithm entering the next process, the start time sequence within the process, the start dependency within the process, whether to enter the next process directly without stopping or stop at the end of the process. For the scene of high-altitude operation in construction, the first algorithm to be started is face recognition. Only when the matching confidence value of face recognition and the construction personnel who climb the work order is greater than 0.9, can it enter the next step, and the face recognition algorithm ends. The second algorithm to be started is the high-altitude operation algorithm. When the high-altitude operation is identified, the person in charge identification algorithm and the differential identification algorithm are started. If the person in charge or the differential cannot be identified, it indicates that the current operation has violated the rules and needs to be alarmed. If the confidence of the algorithm of the person in charge of the operation is greater than 0.9 and the differential exists, it indicates that the operation is normal. Enter the third step, the high-altitude operation algorithm and the person in charge identification algorithm continue to run, the differential identification algorithm exits, and the double hook identification algorithm is started to monitor whether the operator uses the double hook normally. When the high-altitude operation recognizes the end of the operation, this process ends, all algorithms end, and wait for the next operation task of the platform.

[0096] The following is an example to illustrate the application effect of the method of the present invention:

[0097] During the insulator replacement operation, when the tower climbing operation is performed, the safety belt detection and double hook high hanging low use algorithm are activated. The algorithm analyzes and detects the real-time construction video and detects that the on-site construction workers have not installed the required safety belts, and have not followed the regulations on double high hanging low use, such as Figure 2 As shown in the figure, the confidence levels obtained by both algorithms are greater than the threshold, and the violation is judged as a violation, and a violation alarm is issued and sent to the system.

[0098] like Figure 3The figure shows a schematic diagram of the functional modules of the system of the present invention: the system disclosed in the present invention for realizing the violation identification method for safe operation of the electric power system comprises a data acquisition module, a step division module, an algorithm selection module, a relationship setting module, a scheduling generation module and a violation identification module; the data acquisition module, the step division module, the algorithm selection module, the relationship setting module, the scheduling generation module and the violation identification module are connected in series in sequence; the data acquisition module is used to acquire data information of all electric power system safe operations that need to be monitored, and upload the data information to the step division module; the step division module is used to divide each electric power system safe operation process according to the construction scene and the construction steps according to the received data information, obtain the operation step set file, and upload the data information to the algorithm selection module; the algorithm selection module is used to According to the information, for the obtained step set file, several corresponding artificial intelligence algorithms are selected from the trained artificial intelligence algorithm set for the safety detection of the corresponding operation steps, and the data information is uploaded to the relationship setting module; the relationship setting module is used to set the relationship between each artificial intelligence algorithm in the selected artificial intelligence algorithm according to the received data information, and bind the set data information with the corresponding operation steps, and upload the data information to the scheduling generation module; the scheduling generation module is used to generate a scheduling file according to the received data information, and send it to the power system safety operation monitoring system, and upload the data information to the violation recognition module; the violation recognition module is used to identify violations in the process of power system safety operation according to the received data information, the power system safety operation monitoring system, and the received scheduling file.

Claims

1. A method for identifying violations of regulations for safe operation of an electric power system, comprising the following steps: S1. Obtain all data and information on power system safety operations that need to be monitored; S2. Based on the data information obtained in step S1, each power system safety operation process is divided according to the construction scene and construction steps to obtain an operation step set file; S3. For the step set file obtained in step S2, select several corresponding artificial intelligence algorithms from the set of trained artificial intelligence algorithms for safety detection of corresponding operation steps; S4. In the artificial intelligence algorithm selected in step S3, the relationship between the artificial intelligence algorithms is set, and the set data information is bound to the corresponding operation steps; S5. Generate a dispatch file based on the data information obtained in step S4 and send it to the power system safety operation monitoring system; S6. The power system safety operation monitoring system identifies violations during the power system safety operation process based on the received dispatch files.

2. The method for identifying violations of regulations for safe operation of a power system according to claim 1, characterized in that The step S1 of obtaining all the data information of the power system safety operation that needs to be monitored specifically includes the following steps: For all power system safety operations that need to be monitored, obtain data information of each power system safety operation during the standard operation process; The data information of the power system safety operation in the standard operation process includes the total number of operators, the total number of operating equipment, the type of operating equipment, the status of operating equipment, the number of operating process scenes, the data information of each operating process scene and the related information between the operating process scenes; The data information of the operation process scene includes the number of operators in the operation process scene, the number of operating equipment in the operation process scene, the type of operating equipment in the operation process scene and the safety data information of the operation process scene; The safety data information of the operation process scene, including the safety distance information of the operation process scene; The related information between the operation process scenes includes the sequence relationship information between any two operation process scenes.

3. The method for identifying violations of regulations for safe operation of power system according to claim 2, characterized in that According to the data information obtained in step S1, each power system safety operation process is divided according to the construction scene and construction steps to obtain an operation step set file, which specifically includes the following steps: According to the data information obtained in step S1, each power system safety operation process is divided according to the construction scene and construction steps: Divide each power system safety operation into several construction scenarios; Divide each construction scene into several construction steps; Finally, several job step collection files are obtained.

4. The method for identifying violations of regulations for safe operation of a power system according to claim 3, characterized in that The step set file obtained in step S2 described in step S3 selects several corresponding artificial intelligence algorithms from the set of trained artificial intelligence algorithms for safety detection of corresponding operation steps, which specifically includes the following steps: Based on the Fast RCNN model and the Yolo model, the safety detection of the operation steps is realized; specifically, the following are included: Personnel identification: including face recognition, security officer identification and personnel counting Identification of unsafe behaviors of personnel: including safety belts, helmets, work clothes, differentials, gathering of personnel, falling of personnel, illegal climbing, identification of climbing foot buckles, double hook identification, illegal leaning and illegal smoking; Identification of unsafe factors in the environment: including narrow area identification, area intrusion, foreign object identification, identification of unsafe factors in live working and identification of fireworks; among them, narrow area identification includes: narrow area identification, identification of protective covers for live equipment, identification of wire grounding, identification of warning signs and identification of safe distances; area intrusion includes: small animal intrusion, non-motor vehicle parking, unplanned vehicle entry and intrusion by non-staff; foreign object identification includes: bird nests, accumulations in the construction area, water accumulation in the construction area, illegal parking of vehicles in the construction area and waste materials in the construction area; unsafe factors in live working include: metal ladder identification, metal tool identification, safe distance identification, insulated boots and insulated gloves identification; fireworks identification includes active fire identification, flame identification and smoke identification; Power equipment status recognition: including meter reading recognition, license plate recognition, insulator rupture, metal corrosion, tower tilt, transformer vibration monitoring and transformer voiceprint monitoring; Intelligent identification and analysis of illegal operations: including identification of double hooks hanging high and using low, identification of the absence of the safety officer, identification of the guardian of the high-altitude operation, and identification of not wearing a differential when climbing high; According to the step set file obtained in step S2, a corresponding artificial intelligence algorithm is selected from the constructed artificial intelligence algorithm set for safety detection of the corresponding operation step.

5. The method for identifying violations of electric power system safety operation according to claim 4, characterized in that Step S4 sets the relationship between the artificial intelligence algorithms selected in step S3, and binds the set data information with the corresponding operation steps, which specifically includes the following steps: According to the relevant information between various operation process scenarios of each power system safety operation in the standard operation process, the relationship between various artificial intelligence algorithms is set; The setting of the relationship between the various artificial intelligence algorithms is specifically to set the corresponding order relationship information between the artificial intelligence algorithms according to the order relationship information between any two operation process scenes; Bind the set data information with the corresponding operation steps.

6. The method for identifying violations for safe operation of a power system according to claim 5, characterized in that The power system safety operation monitoring system described in step S6 performs violation identification in the power system safety operation process according to the received dispatch file, which specifically includes the following steps: The power system safety operation monitoring system identifies violations during the power system safety operation process based on the received dispatch files: If any violation information is identified, the police will be notified directly; The violation information includes violations of the operating process sequence, safety distance, number of operating personnel and operating equipment.

7. A system for implementing the violation identification method for safe operation of a power system as claimed in any one of claims 1 to 6, characterized in that It includes a data acquisition module, a step division module, an algorithm selection module, a relationship setting module, a scheduling generation module and a violation identification module; the data acquisition module, the step division module, the algorithm selection module, the relationship setting module, the scheduling generation module and the violation identification module are connected in series in sequence; the data acquisition module is used to obtain the data information of all power system safety operations that need to be monitored, and upload the data information to the step division module; the step division module is used to divide each power system safety operation process according to the construction scene and construction steps according to the received data information, obtain the operation step set file, and upload the data information to the algorithm selection module; the algorithm selection module is used to select several corresponding artificial intelligence algorithms from the trained artificial intelligence algorithm set according to the received data information and the obtained step set file, for the safety detection of the corresponding operation steps, and upload the data information to the relationship setting module; The relationship setting module is used to set the relationship between various artificial intelligence algorithms in the selected artificial intelligence algorithm according to the received data information, bind the set data information with the corresponding operation steps, and upload the data information to the scheduling generation module; The dispatch generation module is used to generate a dispatch file based on the received data information, and send it to the power system safety operation monitoring system, and upload the data information to the violation identification module; The violation identification module is used to identify violations in the process of power system safety operation according to the received data information and the power system safety operation monitoring system and the received dispatching file.

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