A safety risk classification control system for power plant production

Abstract

The present invention relates to the technical field of risk classification and control, and in particular to a safety risk classification and control system for power plant production, including: a monitoring module, which is used to monitor the power plant site area in real time, divide the power plant site area into a non-operating area and an operating area, and obtain monitoring data of corresponding monitoring points; an analysis module, which is used to perform risk prediction after pre-processing the monitoring data, obtain risk results, and perform risk analysis on the non-operating area and the operating area based on the risk results; a control module, which is used to configure corresponding control strategies according to the risk analysis results of the non-operating area and the operating area, evaluate the control strategies, and optimize the current control strategies according to the evaluation results. By dividing the power plant area and setting monitoring points, screening out the monitoring data involving the risk area of ​​the power plant, performing risk prediction based on the monitoring data to obtain risk results, analyzing the risk results and configuring reasonable control strategies, the production safety performance of the power plant is greatly improved.

Description

Technical Field

[0001] The present invention relates to the technical field of risk classification management and control, and more specifically, to a safety risk classification management and control system for power plant production. Background Art

[0002] Safety risk classification and control is a prerequisite for factories to carry out safety management work legally and in compliance with regulations. It is to cut off the transmission chain of danger from the source (risk point) to the end (accident), and form a "two-line defense" of risk identification and control in the first place and hidden danger investigation and treatment in the later place. It is the basic work for the comprehensive implementation of the main responsibility of factory safety production.

[0003] In the prior art, the safety risk classification management and control system performs unified safety management and control on the on-site area of ​​the power plant. It cannot effectively manage and apply large amounts of data, and cannot distinguish between important data and unnecessary data, resulting in low accuracy of risk assessment results. This causes the management and control system to formulate unreasonable management and control strategies, which greatly reduces the production safety performance of the power plant. Summary of the invention

[0004] The present invention provides a safety risk classification management and control system for power plant production, which is used to solve the technical problems in the prior art of unified safety management and control of power plant on-site areas, inability to effectively manage and apply large amounts of data, and inability to distinguish between important data and unnecessary data, resulting in low accuracy of risk assessment results, causing the management and control system to formulate unreasonable management and control strategies, and greatly reducing the safety performance of power plant production.

[0005] In some embodiments of the present application, the on-site area of ​​the power plant is divided into a non-operating area and an operating area, equipment or operating areas prone to risks are determined based on historical risk data, monitoring points are set in the non-operating area and the operating area, and the equipment risk results in the non-operating area and the operating process risk results in the operating area are determined separately based on the monitoring point data. This solves the technical problems that the existing management and control system has unified control over the power plant area, cannot effectively manage and apply large amounts of data, and cannot distinguish between important data and unnecessary data, thereby saving the time and cost of management and control personnel in analyzing large amounts of unnecessary data.

[0006] In some embodiments of the present application, risk results for non-operating areas and operating areas are obtained based on the relationship between a monitoring data set and a preset standard data set. The risk results are corrected based on a multi-dimensional analysis of the non-operating areas and the operating areas, thereby greatly improving the accuracy of the risk results. A first management and control strategy is configured based on a first risk analysis result for the non-operating area, and a second management and control strategy is configured based on a second risk analysis result for the operating area, thereby obtaining a management and control strategy that is low-cost, time-saving, and ensures personal safety, thereby greatly improving the production safety performance of the power plant.

[0007] In some embodiments of the present application, a safety risk classification management and control system for power plant production is provided, including:

[0008] The monitoring module is used to monitor the power plant site area in real time, divide the power plant site area into a non-operating area and an operating area, and obtain monitoring data of monitoring points in the area;

[0009] An analysis module is used to pre-process the monitoring data to perform risk prediction, obtain risk results, and perform risk analysis on non-operating areas and operating areas based on the risk results;

[0010] The management and control module is used to configure corresponding management and control strategies according to the risk analysis results of non-operating areas and operating areas, evaluate the management and control strategies, and optimize the current management and control strategies according to the evaluation results.

[0011] In some embodiments of the present application, obtaining monitoring data of corresponding monitoring points includes:

[0012] Based on the actual situation of the power plant and the preset operation plan, the power plant site area is divided into non-operating areas and operating areas;

[0013] Acquire historical risk data, and determine a first monitoring point in the non-operating area and a second monitoring point in the operating area according to the historical risk data;

[0014] The monitoring data acquired at the first monitoring point is set as the first monitoring data, and the first monitoring data is standardized to obtain a first monitoring data set;

[0015] The monitoring data acquired at the second monitoring point is set as second monitoring data, and the second monitoring data is standardized to obtain a second monitoring data set.

[0016] In some embodiments of the present application, based on the risk results, risk analysis is performed on the non-operating area, including:

[0017] Mapping the first monitoring data set to the first preset standard data set one by one to generate a first mapping result, and determining a first risk result of the equipment corresponding to the first monitoring point according to the first mapping result;

[0018] The first risk result includes a first risk level, a first risk factor and a first risk impact, obtaining first historical equipment data, and determining an associated risk equipment of the corresponding equipment based on the first historical equipment data and the first risk factor;

[0019] Calculate the first correlation factor and the second correlation factor of the associated risk device, determine the total correlation coefficient according to the first correlation factor and the second correlation factor, and modify the first risk level and the first risk impact of the current corresponding device according to the total correlation coefficient, wherein the first correlation factor includes the number of associated risk devices and the level of associated risk devices, and the second correlation factor includes the degree of association between the corresponding device and the associated risk device and the risk index;

[0020] The revised first risk level and first risk impact are set as the first risk analysis result.

[0021] In some embodiments of the present application, risk analysis is performed on the operation area based on the risk results, including:

[0022] Mapping the second monitoring data set to the second preset standard data set one by one to obtain a second mapping result, and determining a second risk result of the current operation area based on the second mapping result;

[0023] The second risk result includes a second risk level, a second risk factor, and a second risk impact, obtaining a preset operation plan for the current operation area, and generating an operation process sequence in chronological order according to the preset operation plan;

[0024] Select relevant operation processes according to the second risk factor, calculate the correlation between the second risk factor and the relevant operation processes, screen out relevant operation processes corresponding to correlations greater than a preset correlation threshold, and construct a characteristic operation process sequence in chronological order;

[0025] Obtain the first characteristic factor and the second characteristic factor of the characteristic operation process, determine the total characteristic factor based on the first characteristic factor and the second characteristic factor, and correct the second risk level and the second risk impact of the current operation area based on the total characteristic factor, wherein the first characteristic factor is the number of characteristic operation processes and the level of characteristic operation processes, and the second characteristic factor is the degree of correlation between the characteristic operation process and the second risk factor and the risk index.

[0026] In some embodiments of the present application, it is determined whether there are personnel involved in the characteristic operation process of the characteristic operation process sequence, and the characteristic operation process with personnel parameters is set as an important operation process, and the second risk level and the second risk impact are secondary corrected according to the important characteristic factors of the important operation process, wherein the important characteristic factors include the number of personnel involved and the personnel risk index;

[0027] The second risk level and the second risk impact degree after the second correction are set as the second risk analysis result.

[0028] In some embodiments of the present application, corresponding management and control strategies are configured according to the risk analysis results of the non-operating area, including:

[0029] According to the first risk level and the first risk impact in the first risk analysis result, the first risk analysis result is divided into a first low-level safety risk, a first intermediate safety risk and a first high-level safety risk, the control cycle of the risk equipment in the first low-level safety risk is increased, and a risk equipment list is generated for the risk equipment in the first intermediate safety risk and the first high-level safety risk in order of level;

[0030] Determine the first monitoring point data corresponding to the risk equipment according to the risk equipment list, input the first monitoring data corresponding to the risk equipment into the static simulation model, obtain the corresponding risk equipment simulation behavior, and configure the first control strategy for the risk equipment simulation behavior based on the historical equipment operation and maintenance data and the first control requirement;

[0031] Wherein, a static simulation model is constructed according to the historical equipment data of the equipment corresponding to the first monitoring point and the connection mode of the equipment.

[0032] In some embodiments of the present application, corresponding management and control strategies are configured according to the risk analysis results of the operation area, including:

[0033] According to the second risk level and the second risk impact in the second risk analysis result, the second risk analysis result is divided into a second low-level security risk, a second intermediate-level security risk and a second high-level security risk, and a risk event list is generated according to the order of the levels of the risk events in the second low-level security risk, the second intermediate-level security risk and the second high-level security risk;

[0034] Determine the dynamic simulation model of the corresponding characteristic operation process according to the risk event list, load the dynamic simulation model of the corresponding characteristic operation process into the architecture model, obtain the corresponding risk event simulation process, and determine the second control strategy for the risk event simulation process based on the historical operation and maintenance data and the second control requirements;

[0035] Among them, the components of the operation area corresponding to the second monitoring point are obtained, the architecture model of the current operation area is constructed according to the components of the operation area, and the dynamic simulation model of each characteristic operation process is constructed according to the characteristic operation process corresponding to the current operation area.

[0036] In some embodiments of the present application, the control strategy is evaluated, and the current control strategy is optimized according to the evaluation result, including:

[0037] Obtaining a first control duration and a first control result, and obtaining a first control evaluation value according to the first control duration and the first control result, wherein the first control result includes the number of controlled devices and the number of normal devices;

[0038] The first control evaluation value is compared with the first preset evaluation value. If the first control evaluation value is greater than the first preset evaluation value, the first control strategy is not optimized. If the first control evaluation value is less than the first preset evaluation value, the first monitoring point data corresponding to the risk equipment is optimized based on the PPO algorithm to obtain the optimized first control strategy.

[0039] In some embodiments of the present application, evaluating the control strategy and optimizing the current control strategy according to the evaluation result further includes:

[0040] Obtain a second control duration and a second control result, and obtain a second control evaluation value according to the second control duration and the second control result, wherein the second control result includes the number of controlled operation processes and the number of normal operation processes;

[0041] The second control evaluation value is compared with the second preset evaluation value. If the second control evaluation value is greater than the second preset evaluation value, the second control strategy is not optimized. If the second control evaluation value is less than the second preset evaluation value, the dynamic simulation model and the architecture model are optimized to obtain the optimized second control strategy.

[0042] Compared with the prior art, the embodiments of the present application bring the following beneficial effects:

[0043] The power plant site area is divided into non-operating areas and operating areas. Equipment or operating areas prone to risks are determined based on historical risk data. Monitoring points are set in the non-operating areas and operating areas. The equipment risk results in the non-operating areas and the operating process risk results in the operating areas are determined based on the monitoring point data. This solves the technical problems of the existing management and control system for unified control of power plant areas, the inability to effectively manage and apply large amounts of data, and the inability to distinguish between important data and unnecessary data. It saves the time and cost of management and control personnel analyzing large amounts of unnecessary data.

[0044] According to the relationship between the monitoring data set and the preset standard data set, the risk results of the non-operating area and the operating area are obtained. According to the multi-dimensional analysis of the non-operating area and the operating area, the risk results are corrected, which greatly improves the accuracy of the risk results. The first control strategy is configured according to the first risk analysis result of the non-operating area, and the second control strategy is configured according to the second risk analysis result of the operating area. A control strategy with low cost, less time consumption and personal safety is obtained, which greatly improves the production safety performance of the power plant. BRIEF DESCRIPTION OF THE DRAWINGS

[0045] Figure 1 It is a schematic diagram of a safety risk classification management and control system for power plant production in an embodiment of the present application. DETAILED DESCRIPTION

[0046] The specific implementation of the present invention is further described in detail below in conjunction with the accompanying drawings and examples. The following examples are used to illustrate the present invention, but are not intended to limit the scope of the present invention.

[0047] In the description of the present application, it should be understood that the terms "center", "up", "down", "front", "back", "left", "right", "vertical", "horizontal", "top", "bottom", "inside", "outside", etc., indicating orientations or positional relationships, are based on the orientations or positional relationships shown in the accompanying drawings, and are only for the convenience of describing the present application and simplifying the description, and do not indicate or imply that the device or element referred to must have a specific orientation, be constructed and operated in a specific orientation, and therefore should not be understood as a limitation on the present application.

[0048] The terms "first" and "second" are used for descriptive purposes only and should not be understood as indicating or implying relative importance or implicitly indicating the number of the indicated technical features. Thus, a feature defined as "first" or "second" may explicitly or implicitly include one or more of the features. In the description of this application, unless otherwise specified, "plurality" means two or more.

[0049] In the description of this application, it should be noted that, unless otherwise clearly specified and limited, the terms "installed", "connected", and "connected" should be understood in a broad sense, for example, it can be a fixed connection, a detachable connection, or an integral connection; it can be a mechanical connection or an electrical connection; it can be a direct connection, or it can be indirectly connected through an intermediate medium, or it can be a connection between the inner sides of two components. For ordinary technicians in this field, the specific meanings of the above terms in this application can be understood according to specific circumstances.

[0050] like Figure 1 As shown, a safety risk classification management and control system for power plant production in an embodiment of the present invention includes:

[0051] The monitoring module is used to monitor the power plant site area in real time, divide the power plant site area into a non-operating area and an operating area, and obtain monitoring data of monitoring points in the area;

[0052] An analysis module is used to pre-process the monitoring data to perform risk prediction, obtain risk results, and perform risk analysis on non-operating areas and operating areas based on the risk results;

[0053] The management and control module is used to configure corresponding management and control strategies according to the risk analysis results of non-operating areas and operating areas, evaluate the management and control strategies, and optimize the current management and control strategies according to the evaluation results.

[0054] In this embodiment, according to the actual situation of the power plant and the preset operation plan, the on-site area of ​​the power plant is divided into a non-operating area and an operating area. According to the equipment or operating processes that are prone to risks in the historical risk data, monitoring points are set for the non-operating area and the operating area and monitoring data is obtained. The risk results are obtained based on the monitoring data, and the risk results are analyzed in multiple dimensions to obtain the risk analysis results and configure corresponding management and control strategies. Important data that affects the risks of the power plant can be directly screened out, and a large amount of unnecessary data can be filtered out, which saves the time and cost of management and control personnel analyzing a large amount of unnecessary data, improves the accuracy of the risk analysis of the power plant, and formulates a low-cost, less time-consuming and personal safety management and control strategy, which greatly improves the safety performance of power production.

[0055] In some embodiments of the present application, obtaining monitoring data of corresponding monitoring points includes:

[0056] Based on the actual situation of the power plant and the preset operation plan, the power plant site area is divided into non-operating areas and operating areas;

[0057] Acquire historical risk data, and determine a first monitoring point in the non-operating area and a second monitoring point in the operating area according to the historical risk data;

[0058] The monitoring data acquired at the first monitoring point is set as the first monitoring data, and the first monitoring data is standardized to obtain a first monitoring data set;

[0059] The monitoring data acquired at the second monitoring point is set as second monitoring data, and the second monitoring data is standardized to obtain a second monitoring data set.

[0060] In this embodiment, the actual situation of the power plant is a situation of manual observation, and the preset operation plan is also set in advance. The operation is implemented in the operation area of ​​the power plant according to the preset operation plan. The historical risk data includes risk data when the equipment is not working and risk data when the operation process is implemented. The first monitoring point is set according to the frequency and consequences of risks occurring when the equipment is not working, and the second monitoring point is set according to the frequency, impact degree and whether personnel operation is required when the risk occurs during the implementation of the operation process. A large amount of unnecessary data is filtered out, saving the time and cost of management and control personnel analyzing a large amount of unnecessary data.

[0061] In some embodiments of the present application, based on the risk results, risk analysis is performed on the non-operating area, including:

[0062] Mapping the first monitoring data set to the first preset standard data set one by one to generate a first mapping result, and determining a first risk result of the equipment corresponding to the first monitoring point according to the first mapping result;

[0063] The first risk result includes a first risk level, a first risk factor and a first risk impact, obtaining first historical equipment data, and determining an associated risk equipment of the corresponding equipment based on the first historical equipment data and the first risk factor;

[0064] Calculate the first correlation factor and the second correlation factor of the associated risk device, determine the total correlation coefficient according to the first correlation factor and the second correlation factor, and modify the first risk level and the first risk impact of the current corresponding device according to the total correlation coefficient, wherein the first correlation factor includes the number of associated risk devices and the level of associated risk devices, and the second correlation factor includes the degree of association between the corresponding device and the associated risk device and the risk index;

[0065] The revised first risk level and first risk impact are set as the first risk analysis result.

[0066] In this embodiment, the first preset standard data set is composed of the data interval when the equipment corresponding to the first monitoring point is operating normally. The first mapping result is specifically whether the monitoring data in the first monitoring data set is within the data interval corresponding to the monitoring data in the first preset standard data set. If so, the first risk result of the equipment corresponding to the first monitoring point is no risk; if not, the first risk result of the equipment corresponding to the first monitoring point is risky.

[0067] In this embodiment, the first risk level and the first risk impact of the risky equipment are first set to the lowest risk level, and the lowest risk level is corrected according to the total correlation coefficient to obtain low risk, medium risk and high risk levels.

[0068] In this embodiment, the historical equipment data is the data at the time of equipment failure. If the risk corresponding equipment is a steam turbine, the first risk factor may be the main steam valve, steam parameters, governor, instrument pressure transmitter and wind pressure control signal, etc. The factors in the first risk factor are divided into major and minor factors. According to the historical equipment data and the first risk factor, the associated risk equipment of the steam turbine is determined (the associated risk equipment is divided into major associated risk equipment and minor associated risk equipment according to the major and minor first risk factors). The associated risk equipment is a condenser, high and low pressure oil pumps and heater, etc. The associated risk equipment is specifically an equipment failure that may be caused by a steam turbine failure.

[0069] In this embodiment, the first correlation factor is calculated based on the number of associated risk equipment, the level of associated risk equipment and the corresponding weight coefficient. The number of associated risk equipment includes the number of major associated risk equipment and the number of minor associated risk equipment. The level of associated risk equipment is set in advance based on the equipment purchase funds and the impact of equipment failure on the power plant.

[0070] In this embodiment, the second association factor is calculated according to the association degree and risk index between the current device and the associated risk device and the corresponding weight coefficient. The association degree is set according to the association value between the device and the associated risk device. The association value is calculated according to the time required for the associated risk device to go from normal operation to failure when the device fails in the historical device data. The association degree with a correlation value less than 0.5 is set as a low association degree, the association degree with a correlation value between 0.5 and 0.75 is set as a medium association degree, and the association degree with a correlation value greater than 0.75 is set as a high association degree. The weight coefficients corresponding to the low, medium and high association degrees are 0.3, 0.4 and 0.6, respectively. The risk coefficient between the device and the associated risk device is specifically the failure probability of the associated risk device caused by the device failure when the device failure is determined according to the historical device data. The risk index is determined according to the failure probability. The total association coefficient is determined according to the first association factor, the second association factor and the corresponding weight coefficient. The first risk level and the first risk impact are corrected according to the total association coefficient.

[0071] In this embodiment, the total correlation coefficient is determined according to the first correlation factor and the second correlation factor, and the first risk level and the first risk impact are corrected according to the total correlation coefficient to obtain the risk results after multi-dimensional analysis of the non-operating area, which greatly improves the accuracy of the risk results.

[0072] In some embodiments of the present application, risk analysis is performed on the operation area based on the risk results, including:

[0073] Mapping the second monitoring data set to the second preset standard data set one by one to obtain a second mapping result, and determining a second risk result of the current operation area based on the second mapping result;

[0074] The second risk result includes a second risk level, a second risk factor, and a second risk impact, obtaining a preset operation plan for the current operation area, and generating an operation process sequence in chronological order according to the preset operation plan;

[0075] Select relevant operation processes according to the second risk factor, calculate the correlation between the second risk factor and the relevant operation processes, screen out relevant operation processes corresponding to correlations greater than a preset correlation threshold, and construct a characteristic operation process sequence in chronological order;

[0076] Obtain the first characteristic factor and the second characteristic factor of the characteristic operation process, determine the total characteristic factor based on the first characteristic factor and the second characteristic factor, and correct the second risk level and the second risk impact of the current operation area based on the total characteristic factor, wherein the first characteristic factor is the number of characteristic operation processes and the level of characteristic operation processes, and the second characteristic factor is the degree of correlation between the characteristic operation process and the second risk factor and the risk index.

[0077] In this embodiment, the second preset standard data set is composed of the data interval when the operating area corresponding to the second monitoring point is operating normally. The second mapping result is specifically whether the monitoring data in the second monitoring data set is within the data interval corresponding to the monitoring data in the second preset standard data set. If so, the second risk result of the equipment corresponding to the second monitoring point is no risk; if not, the second risk result of the equipment corresponding to the second monitoring point is risky.

[0078] In this embodiment, the second risk factor is judged based on human judgment or historical operation failure data. The second risk factor is divided into a major second risk factor and a minor second risk factor. The operation process sequence is obtained in chronological order according to the preset operation plan of the risky operation area. The relevant operation processes in the operation process sequence are selected according to the major second risk factor and the minor second risk factor, and the correlation between the second risk factor and the relevant operation process is calculated. The relevant operation processes corresponding to the correlation greater than 0.5 are screened out to construct a characteristic operation process sequence.

[0079] In this embodiment, the first characteristic factor is calculated according to the number of characteristic operation processes, the level of the characteristic operation processes and the corresponding weight coefficients. The level of the characteristic operation processes is set in the preset operation plan.

[0080] In this embodiment, the correlation degree and risk index of the characteristic operation process and the second risk factor are set according to the correlation values ​​of the characteristic operation process with the main second risk factor and the secondary second risk factor. If the correlation value of the characteristic operation process with the secondary second risk factor is between 0.5-0.7, it is a low correlation degree; if the correlation value of the characteristic operation process with the secondary second risk factor is between 0.7-0.85 or the correlation value of the characteristic operation process with the main second risk factor is between 0.5-0.7, it is a medium correlation degree; if the correlation value of the characteristic operation process with the secondary second risk factor is greater than 0.85 or the correlation value of the characteristic operation process with the main second risk factor is greater than 0.7, it is a high correlation degree. Different weight coefficients are set according to the low, medium and high correlation degrees. The risk coefficient is specifically the probability of failure of the characteristic operation process caused by the second risk factor determined according to historical operation failure data.

[0081] In this embodiment, the total characteristic factor is determined based on the first characteristic factor and the second characteristic factor, and the second risk level and the second risk impact are corrected based on the total characteristic factor to obtain the risk result after multi-dimensional analysis of the operating area, which greatly improves the accuracy of the risk result.

[0082] In some embodiments of the present application, it is determined whether there are personnel involved in the characteristic operation process of the characteristic operation process sequence, and the characteristic operation process with personnel parameters is set as an important operation process, and the second risk level and the second risk impact are secondary corrected according to the important characteristic factors of the important operation process, wherein the important characteristic factors include the number of personnel involved and the personnel risk index;

[0083] The second risk level and the second risk impact degree after the second correction are set as the second risk analysis result.

[0084] In this embodiment, the personnel participation in the characteristic operation process is determined according to the preset operation plan. The personnel risk index is specifically the personnel safety probability caused by the failure of the characteristic operation process. The important characteristic factors are calculated based on the personnel risk index and the number of personnel involved. The important characteristic factors perform a secondary correction on the second risk level and the second risk impact degree, and directly correct the second risk level and the second risk impact degree to the highest level.

[0085] In some embodiments of the present application, corresponding management and control strategies are configured according to the risk analysis results of the non-operating area, including:

[0086] According to the first risk level and the first risk impact in the first risk analysis result, the first risk analysis result is divided into a first low-level safety risk, a first intermediate safety risk and a first high-level safety risk, the control cycle of the risk equipment in the first low-level safety risk is increased, and a risk equipment list is generated for the risk equipment in the first intermediate safety risk and the first high-level safety risk in order of level;

[0087] Determine the first monitoring point data corresponding to the risk equipment according to the risk equipment list, input the first monitoring data corresponding to the risk equipment into the static simulation model, obtain the corresponding risk equipment simulation behavior, and configure the first control strategy for the risk equipment simulation behavior based on the historical equipment operation and maintenance data and the first control requirement;

[0088] Wherein, a static simulation model is constructed according to the historical equipment data of the equipment corresponding to the first monitoring point and the connection mode of the equipment.

[0089] In this embodiment, the historical equipment operation and maintenance data are the operation and maintenance strategies and data when the historical equipment fails. The first control requirement is to solve the risk equipment problem with low cost and short control time, build a static simulation model of the non-operating area, obtain the corresponding risk equipment simulation behavior, configure a control strategy with low cost and short control time, which greatly improves the safety performance of power production.

[0090] In some embodiments of the present application, corresponding management and control strategies are configured according to the risk analysis results of the operation area, including:

[0091] According to the second risk level and the second risk impact in the second risk analysis result, the second risk analysis result is divided into a second low-level security risk, a second intermediate-level security risk and a second high-level security risk, and a risk event list is generated according to the order of the levels of the risk events in the second low-level security risk, the second intermediate-level security risk and the second high-level security risk;

[0092] Determine the dynamic simulation model of the corresponding characteristic operation process according to the risk event list, load the dynamic simulation model of the corresponding characteristic operation process into the architecture model, obtain the corresponding risk event simulation process, and determine the second control strategy for the risk event simulation process based on the historical operation and maintenance data and the second control requirements;

[0093] Among them, the components of the operation area corresponding to the second monitoring point are obtained, the architecture model of the current operation area is constructed according to the components of the operation area, and the dynamic simulation model of each characteristic operation process is constructed according to the characteristic operation process corresponding to the current operation area.

[0094] In this embodiment, the historical operation and maintenance data are the operation and maintenance strategies and data when historical operation failures occur. The second management and control requirement is to solve the risk event problem while ensuring personal safety, with low cost and short management and control time. An architecture model of the operation area and a dynamic simulation model of the characteristic operation process are constructed to obtain the corresponding risk event simulation process. The second management and control strategy is determined for the risk event simulation process, which greatly improves the safety performance of power production.

[0095] In some embodiments of the present application, the control strategy is evaluated, and the current control strategy is optimized according to the evaluation result, including:

[0096] Obtaining a first control duration and a first control result, and obtaining a first control evaluation value according to the first control duration and the first control result, wherein the first control result includes the number of controlled devices and the number of normal devices;

[0097] The first control evaluation value is compared with the first preset evaluation value. If the first control evaluation value is greater than the first preset evaluation value, the first control strategy is not optimized. If the first control evaluation value is less than the first preset evaluation value, the first monitoring point data corresponding to the risk equipment is optimized based on the PPO algorithm to obtain the optimized first control strategy.

[0098] In this embodiment, the first control evaluation value is calculated based on the first control time, the ratio of the normal number of devices to the number of controlled devices, and the corresponding correction coefficient, and the first preset evaluation value is set based on historical evaluation data.

[0099] In some embodiments of the present application, evaluating the control strategy and optimizing the current control strategy according to the evaluation result further includes:

[0100] Obtain a second control duration and a second control result, and obtain a second control evaluation value according to the second control duration and the second control result, wherein the second control result includes the number of controlled operation processes and the number of normal operation processes;

[0101] The second control evaluation value is compared with the second preset evaluation value. If the second control evaluation value is greater than the second preset evaluation value, the second control strategy is not optimized. If the second control evaluation value is less than the second preset evaluation value, the dynamic simulation model and the architecture model are optimized to obtain the optimized second control strategy.

[0102] In this embodiment, the second control evaluation value is calculated based on the second control time, the ratio of the normal number of operation processes to the number of controlled operation processes, and the corresponding correction coefficient, and the second preset evaluation value is set based on historical evaluation data.

[0103] According to the first concept of the present application, the on-site area of ​​the power plant is divided into a non-operating area and an operating area, equipment or operating areas prone to risks are determined based on historical risk data, monitoring points are set in the non-operating area and the operating area, and the equipment risk results in the non-operating area and the operating process risk results in the operating area are determined separately based on the monitoring point data. This solves the technical problems that the existing management and control system has unified control over the power plant area, cannot effectively manage and apply large amounts of data, and cannot distinguish between important data and unnecessary data, saving the time and cost of management and control personnel in analyzing large amounts of unnecessary data.

[0104] According to the second concept of the present application, based on the relationship between the monitoring data set and the preset standard data set, the risk results of the non-operating area and the operating area are obtained, and the risk results are corrected based on the multi-dimensional analysis of the non-operating area and the operating area, which greatly improves the accuracy of the risk results. The first management and control strategy is configured according to the first risk analysis result of the non-operating area, and the second management and control strategy is configured according to the second risk analysis result of the operating area, so as to obtain a management and control strategy with low cost, less time consumption and personal safety, which greatly improves the production safety performance of the power plant.

[0105] So far, the technical solutions of the present invention have been described in conjunction with the preferred embodiments shown in the accompanying drawings. However, it is easy for those skilled in the art to understand that the protection scope of the present invention is obviously not limited to these specific embodiments. Without departing from the principle of the present invention, those skilled in the art can make equivalent changes or substitutions to the relevant technical features, and the technical solutions after these changes or substitutions will fall within the protection scope of the present invention.

[0106] The above description is only a preferred embodiment of the present invention and is not intended to limit the protection scope of the present invention.

Claims

1. A safety risk classification management and control system for power plant production, characterized in that: include: The monitoring module is used to monitor the power plant site area in real time, divide the power plant site area into a non-operating area and an operating area, and obtain monitoring data of monitoring points in the area; The analysis module is used to pre-process the monitoring data for risk prediction, obtain risk results, and conduct risk analysis on non-operating areas and operating areas based on the risk results; The control module is used to configure corresponding control strategies according to the risk analysis results of non-operating areas and operating areas, evaluate the control strategies, and optimize the current control strategies according to the evaluation results; Obtain monitoring data from monitoring points within the region, including: Based on the actual situation of the power plant and the preset operation plan, the power plant site area is divided into non-operating areas and operating areas; Acquire historical risk data, and determine a first monitoring point in the non-operating area and a second monitoring point in the operating area according to the historical risk data; The monitoring data acquired at the first monitoring point is set as the first monitoring data, and the first monitoring data is standardized to obtain a first monitoring data set; The monitoring data acquired at the second monitoring point is set as the second monitoring data, and the second monitoring data is standardized to obtain a second monitoring data set; Based on the risk results, conduct risk analysis on non-operating areas, including: Mapping the first monitoring data set to the first preset standard data set one by one to generate a first mapping result, and determining a first risk result of the equipment corresponding to the first monitoring point according to the first mapping result; The first risk result includes a first risk level, a first risk factor and a first risk impact, obtaining first historical equipment data, and determining an associated risk equipment of the corresponding equipment based on the first historical equipment data and the first risk factor; Calculate the first correlation factor and the second correlation factor of the associated risk device, determine the total correlation coefficient according to the first correlation factor and the second correlation factor, and modify the first risk level and the first risk impact of the current corresponding device according to the total correlation coefficient, wherein the first correlation factor includes the number of associated risk devices and the level of associated risk devices, and the second correlation factor includes the degree of association between the corresponding device and the associated risk device and the risk index; The revised first risk level and first risk impact are set as the first risk analysis result; The first preset standard data set is composed of a data interval when the equipment corresponding to the first monitoring point is in normal operation, and the first mapping result is specifically whether the monitoring data in the first monitoring data set is within the data interval corresponding to the monitoring data in the first preset standard data set. If so, the first risk result of the equipment corresponding to the first monitoring point is no risk; if not, the first risk result of the equipment corresponding to the first monitoring point is risky; Among them, the level of associated risk equipment is set in advance based on the equipment purchase funds and the impact of equipment failure on the power plant. The risk coefficient of the equipment and the associated risk equipment is specifically the probability of failure of the associated risk equipment caused by the equipment failure when the equipment failure is determined based on historical equipment data. The risk index is determined based on the failure probability. Based on the risk results, conduct risk analysis on the operation area, including: Mapping the second monitoring data set to the second preset standard data set one by one to obtain a second mapping result, and determining a second risk result of the current operation area based on the second mapping result; The second risk result includes a second risk level, a second risk factor, and a second risk impact, obtaining a preset operation plan for the current operation area, and generating an operation process sequence in chronological order according to the preset operation plan; Select relevant operation processes according to the second risk factor, calculate the correlation between the second risk factor and the relevant operation processes, screen out relevant operation processes corresponding to correlations greater than a preset correlation threshold, and construct a characteristic operation process sequence in chronological order; Obtain the first characteristic factor and the second characteristic factor of the characteristic operation process, determine the total characteristic factor according to the first characteristic factor and the second characteristic factor, and modify the second risk level and the second risk impact of the current operation area according to the total characteristic factor, wherein the first characteristic factor is the number of characteristic operation processes and the level of the characteristic operation process, and the second characteristic factor is the correlation degree and risk index between the characteristic operation process and the second risk factor; The second preset standard data set is composed of a data interval when the operating area corresponding to the second monitoring point is in normal operation. The second mapping result is specifically whether the monitoring data in the second monitoring data set is within the data interval corresponding to the monitoring data in the second preset standard data set. If so, the second risk result of the equipment corresponding to the second monitoring point is no risk. If not, the second risk result of the equipment corresponding to the second monitoring point is risky. Among them, the characteristic operation process level is set in the preset operation plan, and the risk coefficient is specifically determined based on the historical operation failure data to determine the failure probability of the characteristic operation process caused by the second risk factor; Determine whether there are personnel involved in the characteristic operation process of the characteristic operation process sequence, set the characteristic operation process with personnel parameters as an important operation process, and perform secondary correction on the second risk level and the second risk impact degree according to the important characteristic factors of the important operation process, wherein the important characteristic factors include the number of personnel involved and the personnel risk index; The second risk level and the second risk impact degree after the second revision are set as the second risk analysis result; Configure corresponding control strategies based on the risk analysis results of the non-operating areas, including: According to the first risk level and the first risk impact in the first risk analysis result, the first risk analysis result is divided into a first low-level safety risk, a first intermediate safety risk and a first high-level safety risk, the control cycle of the risk equipment in the first low-level safety risk is increased, and a risk equipment list is generated for the risk equipment in the first intermediate safety risk and the first high-level safety risk in order of level; Determine the first monitoring point data corresponding to the risk equipment according to the risk equipment list, input the first monitoring data corresponding to the risk equipment into the static simulation model, obtain the corresponding risk equipment simulation behavior, and configure the first control strategy for the risk equipment simulation behavior based on the historical equipment operation and maintenance data and the first control requirement; Wherein, a static simulation model is constructed according to the historical device data of the device corresponding to the first monitoring point and the connection mode of the device; Configure corresponding control strategies based on the risk analysis results of the operating area, including: According to the second risk level and the second risk impact in the second risk analysis result, the second risk analysis result is divided into a second low-level security risk, a second intermediate-level security risk and a second high-level security risk, and a risk event list is generated according to the order of the levels of the risk events in the second low-level security risk, the second intermediate-level security risk and the second high-level security risk; Determine the dynamic simulation model of the corresponding characteristic operation process according to the risk event list, load the dynamic simulation model of the corresponding characteristic operation process into the architecture model, obtain the corresponding risk event simulation process, and determine the second control strategy for the risk event simulation process based on the historical operation and maintenance data and the second control requirements; Among them, the components of the operation area corresponding to the second monitoring point are obtained, the architecture model of the current operation area is constructed according to the components of the operation area, and the dynamic simulation model of each characteristic operation process is constructed according to the characteristic operation process corresponding to the current operation area.

2. The safety risk classification management and control system for power plant production according to claim 1, characterized in that: Evaluate the control strategy and optimize the current control strategy based on the evaluation results, including: Obtaining a first control duration and a first control result, and obtaining a first control evaluation value according to the first control duration and the first control result, wherein the first control result includes the number of controlled devices and the number of normal devices; The first control evaluation value is compared with the first preset evaluation value. If the first control evaluation value is greater than the first preset evaluation value, the first control strategy is not optimized. If the first control evaluation value is less than the first preset evaluation value, the first monitoring point data corresponding to the risk equipment is optimized based on the PPO algorithm to obtain the optimized first control strategy.

3. The safety risk classification management and control system for power plant production according to claim 2, characterized in that: Evaluate the control strategy and optimize the current control strategy based on the evaluation results, including: Obtain a second control duration and a second control result, and obtain a second control evaluation value according to the second control duration and the second control result, wherein the second control result includes the number of controlled operation processes and the number of normal operation processes; The second control evaluation value is compared with the second preset evaluation value. If the second control evaluation value is greater than the second preset evaluation value, the second control strategy is not optimized. If the second control evaluation value is less than the second preset evaluation value, the dynamic simulation model and the architecture model are optimized to obtain the optimized second control strategy.

Images