Security risk dynamic monitoring and early warning system based on two-ticket data of smart power plant

Abstract

The invention provides a security risk dynamic monitoring and early warning system based on intelligent power plant two-ticket data, and the system comprises an operation ticket information extraction module which is used for obtaining the operation ticket information of a power system; the operation monitoring module is used for monitoring the operation process by using operation monitoring equipment to obtain actual operation time, actual operation steps and actual operation duration of each operation step; the operation risk analysis module is used for determining a delay risk index and an operation risk index according to the operation ticket information, the actual operation time, the actual operation steps and the actual operation duration of each operation step; and the risk early warning module is used for determining an early warning mode based on a plurality of preset delay risk gradient warning values, a plurality of preset operation risk gradient warning values and the risk index, and carrying out risk early warning based on the early warning mode. According to the technical scheme, risk monitoring in the equipment operation process can be covered to the maximum extent, the comprehensiveness of risk monitoring is improved, and safe and stable operation of a power plant is guaranteed.

Description

Technical Field

[0001] The present application relates to the technical field of power plant risk management, and in particular to a dynamic monitoring and early warning system for safety risks based on two-ticket data of a smart power plant. Background Art

[0002] With the development of social economy and population growth, the demand for electricity continues to increase. As an important source of renewable energy, the construction and application of hydropower plants are becoming more and more widespread in various regions. As the source of the power system, the stable operation of hydropower plants is directly related to the power supply quality and reliability of the entire power grid. Since various electrical equipment are widely used in hydropower plants, these equipment will inevitably face a variety of risk factors during operation, which can easily affect the operational stability of the power plant. Therefore, it is particularly important to conduct risk monitoring and early warning of the operation of hydropower plants.

[0003] In the prior art, risk monitoring of the operating status of hydropower plant equipment mainly relies on the inspection of the operating status of the equipment by a large number of sensors. Although it can provide real-time data on the operation of the equipment, it fails to fully consider the operation process of the operator. The operating status of the equipment is largely affected by the operation of the operator. Monitoring the operating status of the equipment only through sensors can only reflect the operation results, but cannot fully reflect the risks in the operation process. Therefore, there are limitations in relying solely on sensors for risk monitoring. First, the potential risks in the operation process may not be captured by the sensors, resulting in an incomplete risk assessment; second, it is impossible to fully understand the details of the operation process, and it is difficult to optimize and improve the operation of the operator, so that it is impossible to avoid risks from the source, which is easy to cause the continuous accumulation of risks. Therefore, it is urgent to propose a solution that can comprehensively monitor risks and optimize equipment to ensure the safe and stable operation of power plants. Summary of the invention

[0004] The present application provides a dynamic monitoring and early warning system for safety risks based on two-ticket data of a smart power plant, so as to at least solve the technical problems of incomplete risk assessment and the continuous accumulation of risks that are prone to occur.

[0005] The embodiment of the present application proposes a safety risk dynamic monitoring and early warning system based on two-ticket data of a smart power plant, the system comprising: an operation ticket information extraction module, an operation monitoring module, an operation risk analysis module and a risk early warning module; The operation ticket information extraction module is used to obtain the operation ticket information of the power system; The operation monitoring module is used to monitor the operation process using the operation monitoring device to obtain the actual operation time, actual operation steps, and the actual operation duration of each operation step; The operation risk analysis module is used to determine the delay risk index and the operation risk index according to the operation ticket information, the actual operation time, the actual operation steps, and the actual operation time of each operation step; The risk warning module is used to determine the warning method based on multiple preset delay risk gradient warning values, multiple preset operation risk gradient warning values, delay risk index and operation risk index, and to perform risk warning based on the warning method.

[0006] Preferably, the operation ticket information includes: Operator name, operating equipment, operating task, operating time, operating steps, the operating time of each operating step, and the status of the equipment after each operating step is executed.

[0007] Further, the operation risk analysis module includes: an operation delay risk analysis unit and an operation step risk analysis unit; The operation delay risk analysis unit is used to determine the difference between the actual operation time and the operation time in the operation ticket, and then determine the delay risk index based on the difference; The operation step risk analysis unit is used to match the operation actions in the actual operation steps with the operation actions in the operation steps in the operation ticket, and compare the device presentation status of the operation result of the actual operation steps with the device presentation status of the operation result of the operation steps in the operation ticket, and then compare the actual operation time of the operation steps with the operation time in the operation ticket and the preset upper limit procedure operation time to obtain an operation step risk assessment matrix; The operation step risk analysis unit is further used to determine the operation risk index based on the operation step risk assessment matrix and the weight value corresponding to each parameter in the preset step risk assessment matrix; The operation step risk assessment matrix is ​​composed of the operation action matching results, the device presentation status comparison results in the operation results, and the operation duration comparison results. The element value of the operation action matching result is 0 or 1; The element value of the device presentation status comparison result in the operation result is 0 or 1; The element value of the operation duration comparison result is 0 or 1.

[0008] Furthermore, the operation step risk analysis unit is further used to mark the operation action matching result and the operation result device presentation state comparison result respectively by using a binary quantization method; The operation step risk analysis unit is also used to mark the comparison result of the actual operation time of the operation step with the operation time in the operation ticket and the preset upper limit procedure operation time by using the three-value quantification method.

[0009] Furthermore, the system further comprises: an operational risk tracing identification module; The operation monitoring module is also used to monitor the operating environment indicators of the execution process of each operation step using the operation monitoring device; The operation risk tracing identification module is used to identify the risk direction when the value of any element in the operation step risk assessment matrix is ​​equal to 1, and then trace the risk to obtain the risk source according to the operating environment indication of the execution process of each operation step, and identify the risk source; The working environment indicators include: temperature, humidity, light, and vibration frequency; The risk sources include: working environment and equipment failure.

[0010] Furthermore, the operation risk tracing identification module is also used to identify the operation action as risk-oriented if the element value of the operation action matching result is equal to 1, identify the device presentation status in the operation result as risk-oriented if the element value of the device presentation status comparison result in the operation result is equal to 1, and identify the operation duration as risk-oriented if the element value of the operation duration comparison result is equal to 1.

[0011] Furthermore, the operational risk tracing identification module is also used to determine the contribution of the operating environment abnormality based on the operating environment indicators of the execution process of each operating step. When the contribution of the operating environment abnormality is greater than a preset abnormality contribution threshold, the operating environment is identified as a risk source; otherwise, the equipment failure is identified as a risk source.

[0012] Furthermore, the system also includes: a work ticket feedback optimization module; The work ticket feedback optimization module is used to determine the operating environment or equipment that needs to be optimized in the work ticket based on the risk orientation and risk source identified in the historical period.

[0013] Furthermore, the work ticket includes: Specific conditions, scope, schedule and operating procedures for equipment maintenance, testing and construction.

[0014] Furthermore, the system also includes: an operating procedure library; The operation procedure library is used to store the operation procedures of various operation devices in the power system under different operation tasks.

[0015] The technical solution provided by the embodiments of the present application brings at least the following beneficial effects: This application proposes a safety risk dynamic monitoring and early warning system based on two-ticket data of a smart power plant, the system includes: an operation ticket information extraction module, an operation monitoring module, an operation risk analysis module and a risk early warning module; the operation ticket information extraction module is used to obtain the operation ticket information of the power system; the operation monitoring module is used to monitor the operation process using the operation monitoring equipment to obtain the actual operation time, the actual operation steps, and the actual operation duration of each operation step; the operation risk analysis module is used to determine the delay risk index and the operation risk index according to the operation ticket information, the actual operation time, the actual operation steps, and the actual operation duration of each operation step; the risk early warning module is used to determine the early warning method based on multiple preset delay risk gradient warning values, multiple preset operation risk gradient warning values, delay risk index and operation risk index, and perform risk early warning based on the early warning method. The technical solution proposed in this application can cover the risk monitoring of the equipment operation process to the maximum extent, improve the comprehensiveness of risk monitoring, and ensure the safe and stable operation of the power plant.

[0016] Additional aspects and advantages of the present application will be given in part in the description below, and in part will become apparent from the description below, or will be learned through the practice of the present application. BRIEF DESCRIPTION OF THE DRAWINGS

[0017] The above and / or additional aspects and advantages of the present application will become apparent and easily understood from the following description of the embodiments in conjunction with the accompanying drawings, in which: Figure 1 A first structural diagram of a safety risk dynamic monitoring and early warning system based on two-ticket data of a smart power plant provided according to an embodiment of the present application; Figure 2 A schematic diagram of the composition of an operation monitoring device provided according to an embodiment of the present application; Figure 3 A second structural diagram of a safety risk dynamic monitoring and early warning system based on two-ticket data of a smart power plant provided according to an embodiment of the present application; Figure 4 A flowchart for optimizing the content of a work ticket according to an embodiment of the present application; Reference numerals Operation ticket information extraction module 1, operation monitoring module 2, operation risk analysis module 3, risk warning module 4, operation delay risk analysis unit 3-1, operation step risk analysis unit 3-2, operation risk traceability identification module 5, work ticket feedback optimization module 6, operation procedure library 7. DETAILED DESCRIPTION

[0018] Embodiments of the present application are described in detail below, and examples of the embodiments are shown in the accompanying drawings, wherein the same or similar reference numerals throughout represent the same or similar elements or elements having the same or similar functions. The embodiments described below with reference to the accompanying drawings are exemplary and are intended to be used to explain the present application, and should not be construed as limiting the present application.

[0019] The present application proposes a safety risk dynamic monitoring and early warning system based on two-ticket data of a smart power plant, the system comprising: an operation ticket information extraction module, an operation monitoring module, an operation risk analysis module and a risk early warning module; the operation ticket information extraction module is used to obtain the operation ticket information of the power system; the operation monitoring module is used to monitor the operation process using the operation monitoring equipment to obtain the actual operation time, the actual operation steps, and the actual operation duration of each operation step; the operation risk analysis module is used to determine the delay risk index and the operation risk index according to the operation ticket information, the actual operation time, the actual operation steps, and the actual operation duration of each operation step; the risk early warning module is used to determine the early warning method based on multiple preset delay risk gradient warning values, multiple preset operation risk gradient warning values, delay risk index and operation risk index, and perform risk early warning based on the early warning method. The technical solution proposed in the present application can cover the risk monitoring of the equipment operation process to the maximum extent, improve the comprehensiveness of risk monitoring, and ensure the safe and stable operation of the power plant.

[0020] The following describes, with reference to the accompanying drawings, a dynamic monitoring and early warning system for safety risks based on two-ticket data of a smart power plant in an embodiment of the present application.

[0021] Embodiment 1 Figure 1 The structure diagram of a safety risk dynamic monitoring and early warning system based on two-ticket data of a smart power plant provided according to an embodiment of the present application is as follows: Figure 1 As shown, the system includes: an operation ticket information extraction module 1, an operation monitoring module 2, an operation risk analysis module 3 and a risk warning module 4; The operation ticket information extraction module 1 is used to obtain the operation ticket information of the power system; The operation monitoring module 2 is used to monitor the operation process using the operation monitoring device to obtain the actual operation time, actual operation steps, and the actual operation duration of each operation step; The operation risk analysis module 3 is used to determine the delay risk index and the operation risk index according to the operation ticket information, the actual operation time, the actual operation steps, and the actual operation time of each operation step; The risk warning module 4 is used to determine a warning method based on a plurality of preset delay risk gradient warning values, a plurality of preset operation risk gradient warning values, a delay risk index and an operation risk index, and to perform risk warning based on the warning method.

[0022] It should be noted that Figure 1 It is only an illustration of the system of this application and does not limit the structure of the dynamic monitoring and early warning system for safety risks based on the two-ticket data of the smart power plant.

[0023] In the embodiment of the present disclosure, the operation ticket information includes: Operator name, operating equipment, operating task, operating time, operating steps, the operating time of each operating step, and the status of the equipment after each operating step is executed.

[0024] It should be noted that the operation ticket is a standardized document used in the power system to regulate and record the operator's operation of the equipment. It is used to record and guide the operator to operate the electrical equipment according to the prescribed steps. It specifies in detail the equipment to be operated and the operating steps.

[0025] Specifically, the operation ticket is filled out by the operator according to the power plant operation task, clarifying the specific task of this operation, such as power outage, power supply, motor start, etc., and selecting an appropriate operation ticket template. The specific content to be filled in is the operator, operating equipment, operating task, operating time, operating steps and the operating time of each operating step. The operator fills in the name of the operator, the operating equipment is the equipment to be operated, such as the generator, the operating task is the task to be performed on the operated equipment, such as starting the generator, the operating time is the time required for the operation, and the operating steps are listed in detail in the order of operation for each step of the operation (such as closing, opening, power testing, grounding, etc.) and the operation duration. The equipment status after operation refers to the expected state or condition that the equipment should reach after completing each step of the operation, such as the electrical parameters of the equipment after operation (voltage, current, etc.), mechanical state (whether the moving parts of the equipment are operating normally), indication state (whether the indicator lights on the equipment display correctly, whether the instruments on the equipment (such as pressure gauges, thermometers, flow meters, etc.) display correct readings), etc. The operation time of each operation step is to state the execution time of each operation step. The operation ticket needs to be reviewed and approved after filling in and submitting. The operation ticket that has been reviewed and approved can be executed by the operator. After the operation ticket is executed, the operation ticket shall be properly preserved as the basis for operation records and subsequent review.

[0026] It should be noted that the operation ticket information extraction module 1 can be composed of an operation monitoring device. The operator wears the operation monitoring device before executing the operation ticket, and then uses the operation monitoring device to monitor the operation process to obtain the actual operation time, actual operation steps and the actual operation time of each operation step. At the same time, the operating environment indicators of the execution process of each operation step are collected.

[0027] For example, the operation monitoring device can be a smart helmet or a smart work suit, such as Figure 2 As shown, a camera, a timer, environmental sensors (such as a temperature sensor, a humidity sensor, a light sensor, a vibration sensor, etc.), a voice prompter, etc. are integrated in the operation monitoring device.

[0028] By having the operator wear the monitoring terminal, the operation process can be monitored in real time by video. In addition, the wearable monitoring terminal is lighter and easier to carry than the fixed monitoring terminal. The operator can operate at any location without being restricted by fixed monitoring equipment. The operator can move freely without worrying about interference from cables or other equipment, ensuring flexibility and convenience of operation.

[0029] The collection of operating environment indicators during the execution of each operation step is performed by environmental sensors in the operation monitoring device, where the operating environment indicators may be temperature, humidity, light, vibration frequency, etc.

[0030] In the embodiments of the present disclosure, Figure 3 As shown, the operation risk analysis module 3 includes: an operation delay risk analysis unit 3-1 and an operation step risk analysis unit 3-2; The operation delay risk analysis unit 3-1 is used to determine the difference between the actual operation time and the operation time in the operation ticket, and then determine the delay risk index based on the difference; It should be noted that the operation delay risk analysis unit 3-1 is used to compare the actual operation time with the operation time filled in the operation ticket, thereby performing operation delay risk analysis. The specific analysis is as follows: the actual operation time is compared with the operation time filled in the operation ticket to obtain the operation delay duration, and then the operation delay duration is compared with the allowable operation delay duration stored in the operation procedure library, and the expression Calculate the operation delay risk index , where Indicates the operation delay time. Indicates the allowed operation delay time. Indicates an adjustable scale factor.

[0031] Among them, the operating procedure library is a set of standardized operating specifications and safety procedures database maintained within the power plant. It contains the standardized operating steps, safety measures, allowable operating time ranges, etc. of all equipment. The operating procedure library is an important tool to ensure the safe and efficient operation of the power plant. When filling out the operation ticket, it must also refer to the contents specified in the operating procedure library.

[0032] The operation delay duration refers to the interval between the time when the operator actually arrives at the site and starts the operation during the operation and the operation time filled in the operation ticket. Specifically, it is the difference between the planned start time specified in the operation ticket and the actual operation start time. This time difference reflects the situation where the operator fails to arrive at the site on time or fails to start the operation on time. For example, assuming that the operation time filled in the operation ticket is 15:30, and the actual operation time is 15:50, the operation delay duration is 20 minutes.

[0033] In the calculation formula of the above operation delay risk index, when the operation delay duration is less than or equal to the allowed operation delay duration, the operation delay risk index is 0, indicating that there is no operation delay risk. When the operation delay duration is greater than the allowed operation delay duration, the operation delay risk index is , indicating that an operation delay risk has occurred, and the longer the operation delay duration is than the allowed operation delay duration, the greater the operation delay risk index. In addition, Indicates an adjustable proportional coefficient, which is used to adjust the value range of the operation delay risk index. When the original ratio is used, The value range of the operation delay risk index is enlarged, indicating that the sensitivity to delay risk increases. The value range of the operation delay risk index is narrowed, indicating that the sensitivity to delay risk is reduced. The introduction of makes the calculation of the operation delay risk index more flexible, which can be determined according to different scenarios and needs. The value of .

[0034] When operational delays occur, the production plan of the power plant may be disrupted and the normal operation of the power plant may be affected. More importantly, operational delays may cause the equipment to be in an abnormal state for a long time, increasing the risk of equipment failure.

[0035] The operation step risk analysis unit 3-2 is used to match the operation actions in the actual operation steps with the operation actions in the operation steps in the operation ticket, and compare the device presentation status of the operation result of the actual operation steps with the device presentation status of the operation result of the operation steps in the operation ticket, and then compare the actual operation time of the operation steps with the operation time in the operation ticket and the preset upper limit procedure operation time to obtain an operation step risk assessment matrix; The operation step risk analysis unit 3-2 is further used to determine the operation risk index based on the operation step risk assessment matrix and the weight values ​​corresponding to the parameters in the preset step risk assessment matrix; The operation step risk assessment matrix is ​​composed of the operation action matching results, the device presentation status comparison results in the operation results, and the operation duration comparison results. The element value of the operation action matching result is 0 or 1; The element value of the device presentation status comparison result in the operation result is 0 or 1; The element value of the operation duration comparison result is 0 or 1.

[0036] The operation step risk analysis unit 3-2 is further used to mark the operation action matching result and the operation result device presentation state comparison result respectively by using a binary quantization method; The operation step risk analysis unit 3 - 2 is also used to mark the comparison result of the actual operation time of the operation step with the operation time in the operation ticket and the preset upper limit procedure operation time by using the three-value quantification method.

[0037] It should be noted that the operation step risk analysis unit 3-2 is used to match the actual operation steps with the operation steps filled in the operation ticket, and compare the actual operation time of each operation step with the operation time filled in the operation ticket, thereby performing operation step risk analysis. The specific analysis is as follows: extract the operation action and the device presentation status in the operation result from the operation step, and then match the operation action in the actual operation step with the operation action of the corresponding operation step filled in the operation ticket, and compare the device presentation status in the operation result of the actual operation step with the device presentation status in the operation result of the corresponding operation step in the operation ticket, and compare the operation time of the actual operation step with the operation time filled in the operation ticket. If the operation action in the actual operation step fails to match the operation action of the corresponding operation step filled in the operation ticket, the operation step is regarded as a risk operation step. If the device presentation status in the operation result of the actual operation step is inconsistent with the device presentation status in the operation result of the corresponding operation step in the operation ticket, the operation step is regarded as a risk operation step. If the operation time of the actual operation step is longer than the operation time filled in the operation ticket, the operation step is regarded as a risk operation step.

[0038] The operation action matching results corresponding to the risk operation steps and the device status comparison results in the operation results are marked using binary quantization. Specifically, if the operation action matching corresponding to the risk operation step fails, the operation action matching result is recorded as 1 using binary marking. Otherwise, if the operation action matching is successful, the operation action matching result is recorded as 0. If the device status comparison in the operation result corresponding to the risk operation step is inconsistent, the device status comparison result in the operation result is recorded as 1. Otherwise, if the device status is consistent, it is recorded as 0.

[0039] The present invention uses a binary quantification method of 0 and 1 for risk marking, making data processing and analysis simpler and more intuitive, easy to understand and explain, which helps to quickly identify problem points. In addition, the binary quantification mark can be used as an input to the rule engine to help the system automatically determine whether the operation complies with the specifications and automatically trigger an alarm or emergency response mechanism when a problem is found.

[0040] Based on the operating equipment, operating tasks and risky operating steps in the operation ticket, the procedure operation time interval of the risky operating steps is retrieved from the operating procedure library, and then the upper limit procedure operation time is extracted from the procedure operation time interval. The operation time comparison results are marked using three-value quantification based on the comparison data of the operation time in the risky operating step, the operation time filled in the operation ticket, and the upper limit procedure operation time. The specific markings are as follows: If the operation time of the risk operation step is longer than the operation time filled in the operation ticket, the procedure operation time interval of the risk operation step is retrieved from the operation procedure library based on the operation equipment, operation task and risk operation step in the operation ticket, and then the upper limit procedure operation time is extracted from the procedure operation time interval. If the operation time is longer than the operation time filled in the operation ticket and is less than or equal to the upper limit procedure operation time, the operation time comparison result is recorded as 1, which represents "minor delay", indicating that although the operation time exceeds the planned time, it is within the allowed range and there is a certain risk. If the operation time is greater than the upper limit procedure operation time, the operation time comparison result is recorded as 2, which represents "serious delay", indicating that the operation time seriously exceeds the planned time and there is a higher risk. If the operation time is less than or equal to the operation time filled in the operation ticket, the operation time comparison result is recorded as 0.

[0041] The present invention divides operation delays into three levels (0, 1, 2) by adopting a three-value quantitative marking method, which can more finely evaluate the risk level of operation delays. Compared with binary marking, this method can distinguish between minor delays and major delays, helping to better understand the potential risks in operations. In addition, the results of the three-value quantitative marking can be used as input to the intelligent early warning system to help the system automatically determine the degree of operation delays and issue an alarm in time when problems are found. For example, when the mark is 1, the system can issue a minor warning to prompt the operator to speed up the progress; when the mark is 2, the system can trigger an emergency response mechanism to ensure the safety of the equipment.

[0042] In the example where the operation step is to start the generator, the operation time filled in on the operation ticket is 5 minutes, the procedure operation time range is 5-10 minutes, and the actual operation time is 7 minutes. Since the operation time is longer than the operation time filled in on the operation ticket (5 minutes), but less than or equal to the upper limit of the procedure operation time (10 minutes), it is marked as 1, indicating "minor delay".

[0043] Obtain the operation action matching results of the risk operation steps, the equipment status comparison results in the operation results, and the operation time comparison results, and form a risk assessment matrix. For example, the operation action in the operation step is to start the generator, and the actual operation action also achieves the generator start, then the operation action matches successfully, the equipment status in the operation result is temperature, voltage, and current, and the temperature comparison is inconsistent, and the actual operation time is consistent with the operation time filled in the operation ticket. The risk assessment matrix formed at this time is .

[0044] Because operation time is a continuous time variable with gradability, and the degree of delay will bring different degrees of risk. Three-value quantification can more finely evaluate the rationality of operation time, help distinguish between minor delays and serious delays, and provide more accurate risk assessment, while operation actions and equipment status are discrete and binary, usually "yes / no" questions. Binary quantification can concisely and clearly indicate whether the operation is correct and whether the equipment status is normal, avoiding overly complex evaluations while ensuring rapid identification of problems and taking corrective measures.

[0045] It should be noted that weights are assigned to the operation action matching, the device status in the operation result and the operation duration respectively, and then each parameter in the risk assessment matrix is ​​combined with the weight assignment result to perform weighted average calculation to obtain the operation risk index of the risk operation step.

[0046] In the specific implementation of the above weight assignment, since the importance of operation action matching and device presentation status in operation results is higher than operation duration, the corresponding weights of operation action matching, device presentation status in operation results and operation duration can be 0.4, 0.4 and 0.2 respectively.

[0047] In the disclosed embodiment, the risk warning module 4 is used to use the operation monitoring device to issue warnings based on the operation delay risk and the operation step risk. The specific warning process is as follows: multiple gradient warning values ​​are set based on the operation delay risk index and the operation risk index. For example, the multiple gradient warning values ​​can correspond to low risk, medium risk and high risk, and a warning method is provided for each gradient warning value. For example, the warning method provided for each gradient warning value can correspond to different voice prompt levels, which can more accurately reflect the risk level and help operators better deal with risks of different levels. The operation delay risk index and the operation risk index of the risk operation step are compared with the corresponding gradient warning values. When the operation delay risk index and the operation risk index of the risk operation step reach a certain gradient warning value, the corresponding warning method in the operation monitoring device is triggered to warn the operator. Specifically, the voice prompter in the operation monitoring device is triggered when the gradient warning value is reached.

[0048] In the above operation example, assuming that the gradient alert value set for the operation delay risk index is low risk alert value: 0.3, medium risk alert value: 0.6, high risk alert value: 0.9, the gradient alert value set for the operation risk index is low risk alert value: 0.2, medium risk alert value: 0.5, high risk alert value: 0.8, the current operation delay risk index is 0.5, and when the low risk alert value is reached, the voice prompt in the operation monitoring device is activated to issue a low-level voice prompt. The operation risk index of the current risk operation step is 0.8, and when the high risk alert value is reached, the voice prompt in the operation monitoring device is activated to issue a high-level voice prompt.

[0049] In the embodiments of the present disclosure, Figure 3 As shown, the system further includes: an operational risk tracing identification module 5; The operation monitoring module 2 is also used to monitor the operating environment indicators of the execution process of each operation step using the operation monitoring device; The operation risk tracing identification module 5 is used to identify the risk direction when the value of any element in the operation step risk assessment matrix is ​​equal to 1, and then trace the risk to obtain the risk source according to the operating environment indication of the execution process of each operation step, and identify the risk source; The working environment indicators include: temperature, humidity, light, and vibration frequency; The risk sources include: working environment and equipment failure.

[0050] Furthermore, the operation risk tracing identification module 5 is also used to identify the operation action as risk-oriented if the element value of the operation action matching result is equal to 1, identify the device presentation status in the operation result as risk-oriented if the element value of the device presentation status comparison result in the operation result is equal to 1, and identify the operation duration as risk-oriented if the element value of the operation duration comparison result is equal to 1.

[0051] Furthermore, the operational risk tracing identification module 5 is also used to determine the contribution of the operating environment abnormality according to the operating environment indicators of the execution process of each operating step. When the contribution of the operating environment abnormality is greater than a preset abnormality contribution threshold, the operating environment is identified as a risk source; otherwise, the equipment failure is identified as a risk source.

[0052] It should be noted that the risk tracing process is as follows: extract risk directions from the risk assessment matrix composed of risk operation steps, specifically compare the operation action matching results of the risk operation steps in the risk assessment matrix, the equipment presentation status comparison results in the operation results, and the operation duration comparison results with 0. If a certain result is not 0, then the parameter is used as a risk direction. Specifically, if the operation action matching result is not 0 (that is, the operation action matching fails), it is marked as a risk direction, indicating that there are actions that are not executed as planned during the operation. If the equipment presentation status comparison result is not 0 (that is, the equipment presentation status is inconsistent with expectations), it is marked as a risk direction, indicating that the operation result does not meet expectations. If the operation duration comparison result is not 0 (that is, the operation duration exceeds the filled time), it is marked as a risk direction, indicating that there are delays in the operation process, which may bring different degrees of risks.

[0053] In a further implementation of the above solution, the risk identification refers to the following process: when it is determined that the operator has an operation delay warning, a delay risk identification is performed in the operation ticket.

[0054] When it is determined that the operator has an operation step warning, the risk operation steps, risk direction, and risk source identification are included in the operation ticket.

[0055] When the present invention detects that there is a risk in the operation step, it introduces the operating environment indicators in the operation process to trace the risk source, mainly because the environmental conditions (such as temperature, humidity, light, vibration frequency, etc.) in which the operation is carried out will have a significant impact on the operation effect. Through systematic risk tracing analysis, the root cause of the operation risk can be effectively identified and located.

[0056] The operating environment indicators of the risk operation steps during the execution process are compared with the normal operating environment indicators stored in the operating procedure library. If the operating environment indicators at a certain moment do not meet the normal operating environment indicators, then this moment is recorded as an abnormal environment moment.

[0057] During the operation time of the risk operation step, the number of all detected abnormal environment moments is summarized, and adjacent abnormal environment moments are compared to identify whether the abnormal environment persists. If the abnormal environment persists between adjacent abnormal environment moments, the detected abnormal environment moments are divided into abnormal environment segments.

[0058] Calculate the average duration of the abnormal environment segment and the average interval between adjacent abnormal environment segments, and substitute them into the analytical formula Get the abnormal contribution of the operating environment corresponding to the abnormal direction , where Indicates the average duration of abnormal environment segments, Indicates the average interval between adjacent abnormal environment segments. Indicates the operation time of the risk operation step. It indicates the adjustable scale coefficient, where the adjustable scale coefficient has the same meaning as the adjustable proportional coefficient. It can be seen from the formula that the longer the average duration of the abnormal environment segment, the shorter the average interval between adjacent abnormal environment segments, and the larger the abnormal operation environment guidance index, indicating that the contribution of the abnormal operation environment to the risk of the operation step is greater.

[0059] Compare the abnormal contribution of the operating environment corresponding to the abnormality with the configured critical value. If the abnormal contribution of the operating environment reaches the critical value, it is predicted that the risk source pointed by the abnormality is the operating environment. Otherwise, it is predicted that the risk source pointed by the abnormality is the non-operating environment.

[0060] Among them, when the risk source pointed to by the predicted anomaly is a non-operating environment, it may be caused by equipment failure.

[0061] In the embodiments of the present disclosure, Figure 3 As shown, the system further includes: a work ticket feedback optimization module 6; The work ticket feedback optimization module 6 is used to determine the operating environment or equipment that needs to be optimized in the work ticket based on the risk orientation and risk source identified in the historical period.

[0062] The work ticket includes: Specific conditions, scope, schedule and operating procedures for equipment maintenance, testing and construction.

[0063] It should be noted that if Figure 4 As shown, the work ticket feedback optimization module 6 is used to retrieve similar historical operation tickets within a set feedback cycle, and perform risk source analysis based on the risk identifiers in the historical operation tickets, thereby feeding back the risk sources into the work ticket of the same operating device to optimize the content of the work ticket.

[0064] It should be added that the similar historical operation tickets mentioned above are for the same operation equipment and the same operation tasks.

[0065] A work ticket is a standardized document used to regulate and manage various operations, inspections, maintenance, and other work in the power system. It is also commonly referred to as an inspection ticket. It specifies in detail the specific conditions, scope, time schedule, and operating procedures for inspections, tests, construction, and other operations on electrical equipment. In order to ensure the safety and orderliness of complex operations, a work ticket usually contains multiple operation tickets.

[0066] The process of analyzing the risk sources is as follows: compare the risk operation steps marked in each historical operation ticket, and select the risk operation steps with the highest frequency of occurrence as the risk operation steps.

[0067] Compare the risk directions marked in the risk-prone operation steps of each historical operation ticket, and select the risk direction with the highest frequency of occurrence as the risk-prone direction.

[0068] Compare the risk sources corresponding to the risks indicated in the risk-prone operation steps of each historical operation ticket, and select the risk source corresponding to the highest frequency of occurrence as the risk-prone source.

[0069] Feedback of the risk source to the work ticket of the same operating equipment to optimize the content of the work ticket is achieved as follows: extract the work ticket to be performed from the operation and maintenance tasks of the operating equipment, identify the work content in the work ticket, and determine whether there are risky operation steps. If there are risky operation steps in the work ticket, further determine whether the risk source is the working environment. If the risk source is the working environment, add inspection items for the working environment before the risky operation steps in the implementation content of the work ticket. These inspection items should aim to ensure the safety of the working environment before performing the risky operation steps, so that the relevant working environment risk sources have been fully identified and controlled. If the risk source is not the working environment, the risk source may be equipment failure. At this time, increase the implementation frequency of the work ticket for the operating equipment. This can reduce the possibility of risk by increasing the maintenance frequency of the equipment, for example, from once a month to once every two weeks.

[0070] In the embodiments of the present disclosure, Figure 3 As shown, the system further comprises: an operation procedure library 7; The operation procedure library 7 is used to store the operation procedures of various operation devices in the power system under different operation tasks.

[0071] The present invention has the following beneficial effects: (1) The present invention monitors the operation process of the operation ticket submitted by the operator, and performs operation risk analysis and risk tracing based on the monitoring results. At the same time, the risk is marked in the operation ticket, and then the operation ticket with risks is fed back to the work ticket of the same operating equipment, optimizing the content of the work ticket, and realizing the risk monitoring and management of power plant equipment based on two tickets. It can cover the risk monitoring of the equipment operation process to the maximum extent and improve the comprehensiveness of risk monitoring. At the same time, through the risk feedback from the operation ticket to the work ticket, the operation of the operator is optimized, risk avoidance is carried out from the source, and the continuous accumulation of risks is avoided, ensuring the safe and stable operation of the equipment.

[0072] (2) When performing operational risk analysis based on the monitoring results of the operation process of the operation ticket, the present invention can provide gradient warnings to operators based on the operational risks, thereby realizing hierarchical risk management, improving the timeliness of risk management, and enhancing the vigilance of operators.

[0073] (3) The present invention monitors the operation process of the operator by using an operation monitoring device as the monitoring subject. Compared with the traditional method of using a guardian as the monitoring subject, on the one hand, the operation monitoring device can objectively record every detail of the operation process, avoiding subjective deviations caused by human factors; on the other hand, the operation monitoring device can collect and transmit data in real time, ensuring the timeliness and continuity of monitoring; and on the other hand, the use of the operation monitoring device can reduce the dependence on the guardian and save human resource costs.

[0074] To sum up, the dynamic monitoring and early warning system for safety risks based on the two-ticket data of a smart power plant proposed in this embodiment can cover the risk monitoring of the equipment operation process to the maximum extent, improve the comprehensiveness of risk monitoring, and ensure the safe and stable operation of the power plant.

[0075] In the description of this specification, the description with reference to the terms "one embodiment", "some embodiments", "example", "specific example", or "some examples" etc. means that the specific features, structures, materials or characteristics described in conjunction with the embodiment or example are included in at least one embodiment or example of the present application. In this specification, the schematic representations of the above terms do not necessarily refer to the same embodiment or example. Moreover, the specific features, structures, materials or characteristics described may be combined in any one or more embodiments or examples in a suitable manner. In addition, those skilled in the art may combine and combine the different embodiments or examples described in this specification and the features of the different embodiments or examples, without contradiction.

[0076] Any process or method description in a flowchart or otherwise described herein may be understood to represent a module, fragment or portion of code comprising one or more executable instructions for implementing the steps of a custom logical function or process, and the scope of the preferred embodiments of the present application includes alternative implementations in which functions may not be performed in the order shown or discussed, including performing functions in a substantially simultaneous manner or in the reverse order depending on the functions involved, which should be understood by technicians in the technical field to which the embodiments of the present application belong.

[0077] Although the embodiments of the present application have been shown and described above, it can be understood that the above embodiments are exemplary and cannot be understood as limitations on the present application. Ordinary technicians in this field can change, modify, replace and modify the above embodiments within the scope of the present application.

Claims

1. A safety risk dynamic monitoring and early warning system based on two-ticket data of a smart power plant, characterized in that: The system includes: an operation ticket information extraction module, an operation monitoring module, an operation risk analysis module and a risk warning module; The operation ticket information extraction module is used to obtain the operation ticket information of the power system; The operation monitoring module is used to monitor the operation process using the operation monitoring device to obtain the actual operation time, actual operation steps, and the actual operation duration of each operation step; The operation risk analysis module is used to determine the delay risk index and the operation risk index according to the operation ticket information, the actual operation time, the actual operation steps, and the actual operation time of each operation step; The risk warning module is used to determine the warning method based on multiple preset delay risk gradient warning values, multiple preset operation risk gradient warning values, delay risk index and operation risk index, and to perform risk warning based on the warning method.

2. The security risk dynamic monitoring and early warning system according to claim 1, characterized in that: The operation ticket information includes: Operator name, operating equipment, operating task, operating time, operating steps, the operating time of each operating step, and the status of the equipment after each operating step is executed.

3. The security risk dynamic monitoring and early warning system according to claim 2, characterized in that: The operation risk analysis module includes: an operation delay risk analysis unit and an operation step risk analysis unit; The operation delay risk analysis unit is used to determine the difference between the actual operation time and the operation time in the operation ticket, and then determine the delay risk index based on the difference; The operation step risk analysis unit is used to match the operation actions in the actual operation steps with the operation actions in the operation steps in the operation ticket, and compare the device presentation status of the operation result of the actual operation steps with the device presentation status of the operation result of the operation steps in the operation ticket, and then compare the actual operation time of the operation steps with the operation time in the operation ticket and the preset upper limit procedure operation time to obtain an operation step risk assessment matrix; The operation step risk analysis unit is further used to determine the operation risk index based on the operation step risk assessment matrix and the weight value corresponding to each parameter in the preset step risk assessment matrix; The operation step risk assessment matrix is ​​composed of the operation action matching results, the device presentation status comparison results in the operation results, and the operation duration comparison results. The element value of the operation action matching result is 0 or 1; The element value of the device presentation status comparison result in the operation result is 0 or 1; The element value of the operation duration comparison result is 0 or 1.

4. The security risk dynamic monitoring and early warning system according to claim 3, characterized in that: The operation step risk analysis unit is further used to mark the operation action matching results and the operation result device presentation state comparison results respectively by using a binary quantization method; The operation step risk analysis unit is also used to mark the comparison result of the actual operation time of the operation step with the operation time in the operation ticket and the preset upper limit procedure operation time by using the three-value quantification method.

5. The security risk dynamic monitoring and early warning system according to claim 4, characterized in that: The system also includes: an operational risk tracing identification module; The operation monitoring module is also used to monitor the operating environment indicators of the execution process of each operation step using the operation monitoring device; The operation risk tracing identification module is used to identify the risk direction when the value of any element in the operation step risk assessment matrix is ​​equal to 1, and then trace the risk to obtain the risk source according to the operating environment indication of the execution process of each operation step, and identify the risk source; The working environment indicators include: temperature, humidity, light, and vibration frequency; The risk sources include: working environment and equipment failure.

6. The security risk dynamic monitoring and early warning system according to claim 5, characterized in that: The operation risk tracing identification module is also used to identify the operation action as risk-oriented if the element value of the operation action matching result is equal to 1, identify the device presentation status in the operation result as risk-oriented if the element value of the device presentation status comparison result in the operation result is equal to 1, and identify the operation duration as risk-oriented if the element value of the operation duration comparison result is equal to 1.

7. The security risk dynamic monitoring and early warning system according to claim 6, characterized in that: The operational risk tracing identification module is also used to determine the abnormal contribution of the operating environment according to the operating environment indicators of the execution process of each operating step. When the abnormal contribution of the operating environment is greater than a preset abnormal contribution threshold, the operating environment is identified as a risk source; otherwise, the equipment failure is identified as a risk source.

8. The security risk dynamic monitoring and early warning system according to claim 7, characterized in that: The system also includes: a work ticket feedback optimization module; The work ticket feedback optimization module is used to determine the operating environment or equipment that needs to be optimized in the work ticket based on the risk orientation and risk source identified in the historical period.

9. The security risk dynamic monitoring and early warning system according to claim 8, characterized in that: The work ticket includes: Specific conditions, scope, schedule and operating procedures for equipment maintenance, testing and construction.

10. The security risk dynamic monitoring and early warning system according to claim 8, characterized in that: The system also includes: an operating procedure library; The operation procedure library is used to store the operation procedures of various operation devices in the power system under different operation tasks.

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