Comprehensive safety management system for power plant

Abstract

The invention relates to the technical field of power plant management, in particular to a comprehensive safety management system for a power plant. Comprising a monitoring unit which comprises a plurality of monitoring sub-modules and is used for collecting image data and equipment operation data in a factory area; the central control unit is used for setting a plurality of monitoring sub-areas; the central control unit is also used for establishing a plurality of monitoring periods and judging whether an early warning instruction is generated or not according to the image data and the equipment operation data in a single monitoring period; and the storage unit is used for establishing a storage database and is also used for storing the historical monitoring data acquired by the monitoring unit. The monitoring unit is additionally arranged, image data and equipment operation data in the power plant are collected, all to-be-executed tasks are obtained according to a preset monitoring period, personnel in the plant area are accurately monitored, early warning analysis is conducted on potential risks through collected real-time data and operation processes, the accident occurrence probability is reduced, and the safety of the power plant is improved. And the safety and the management efficiency of the workplaces in the factory are improved.

Description

Technical Field

[0001] The present application relates to the technical field of power plant management, and in particular to an integrated safety management system for a power plant. Background Art

[0002] As of the end of 2013, thermal power accounted for 69% of the total installed capacity of China's active generating units, hydropower accounted for 22%, and other power generation methods accounted for 9%. Thermal power generation is still the main power generation method in China and the main force of power production. With the continuous development of thermal power industry production and the increasingly complex operating environment, ensuring personnel safety and effectively preventing and controlling operating risks have become key issues.

[0003] However, the existing safety system has low utilization rate and blind spots in the operation area. The safety system of thermal power plants does not have an integrated security management system, and cannot achieve unified monitoring of equipment, which increases the system operation and maintenance costs and safety hazards. At present, Internet technology, artificial intelligence, big data and other technologies have been demonstrated in thermal power security monitoring, inspection and other scenarios, but most of them are based on free and independent construction, and are not closely integrated with thermal power application scenarios. Now many thermal power plants are not very perfect in safety warning equipment, and do not promptly alarm when danger occurs, and cannot handle some safety accidents in time. Summary of the invention

[0004] The purpose of this application is: to solve the above technical problems, this application provides a comprehensive safety management system for power plants, aiming to provide timely warning of potential risks in power plants and ensure the safe operation of power plants.

[0005] In some embodiments of the present application, by adding a monitoring unit, image data and equipment operation data within the power plant are collected, and all tasks to be executed are obtained according to a preset monitoring cycle, and personnel within the plant are accurately monitored. Through the collected real-time data and operating procedures, early warning analysis of potential risks is carried out to reduce the probability of accidents and improve the safety and management efficiency of workplaces within the plant.

[0006] In some embodiments of the present application, multiple monitoring sub-areas are set up to conduct regional monitoring of the plant area, and a multiple monitoring system is constructed by dynamically combining operation process monitoring and regional monitoring to achieve accurate early warning of personnel operation risks and regional operation risks, thereby ensuring the safe operation of the power plant.

[0007] In some embodiments of the present application, a comprehensive safety management system for a power plant is provided, comprising:

[0008] A monitoring unit, including a plurality of monitoring submodules, wherein the monitoring unit is used to collect image data and equipment operation data within the factory area;

[0009] Central control unit, used to set multiple monitoring sub-areas;

[0010] The central control unit is also used to establish multiple monitoring cycles, and determine whether to generate an early warning instruction based on the image data and equipment operation data in a single monitoring cycle;

[0011] The storage unit is used to establish a storage database, and the storage unit is also used to store the historical monitoring data collected by the monitoring unit.

[0012] In some embodiments of the present application, the central control unit includes:

[0013] The first processing module is used to establish a monitoring sub-area sequence A, A = (a1, a2...ai...an), where ai is the i-th monitoring sub-area and n is the number of monitoring sub-areas;

[0014] The first processing module is also used to set the authority level of each monitoring sub-area;

[0015] The first control module is used to establish an electronic monitoring map and generate a collaborative control model between various monitoring sub-modules.

[0016] In some embodiments of the present application, the central control unit further includes:

[0017] A second processing module is used to set multiple monitoring cycles;

[0018] The second processing module is also used to obtain the work plan parameters within the current monitoring cycle according to the preset monitoring time node;

[0019] According to the work plan parameters, a sequence B of tasks to be executed in the current monitoring cycle is established, B = (b1, b2...bi...bm), where bi is the i-th task to be executed in the current monitoring cycle; m is the number of tasks to be executed in the current monitoring cycle;

[0020] Among them, a single task to be performed includes the expected activity trajectory of personnel, the number of monitored personnel and the expected behavior of personnel;

[0021] The third processing module is used to determine whether to generate a warning instruction for each task to be executed.

[0022] In some embodiments of the present application, the third processing module is further used to:

[0023] According to the sequence B of tasks to be executed, the i-th task to be executed is selected as the target task to be executed;

[0024] Set the data call strategy of the monitoring unit according to the expected activity trajectory of the target personnel to perform the task;

[0025] Obtain original monitoring data according to the data calling strategy;

[0026] Preprocess the original monitoring data and generate a monitoring data packet of the target task to be executed based on the preprocessing results;

[0027] Generate a deviation evaluation value j of the target task to be executed according to the monitoring data packet;

[0028] Determine whether to generate a warning instruction for the target task to be executed according to the deviation evaluation value j;

[0029] Determine in turn whether the i-th task to be executed generates a warning instruction.

[0030] In some embodiments of the present application, the third processing module is further used to:

[0031] Preset a first deviation evaluation value J1 and a second deviation evaluation value J2;

[0032] If j<J1, no warning instruction is generated;

[0033] If J1≤j<J2, the third processing module generates a first-level warning instruction for the target task to be executed;

[0034] If j≧J2, the third processing module generates a secondary warning instruction for the target task to be executed.

[0035] In some embodiments of the present application, when generating a deviation evaluation value j of a target task to be performed according to a monitoring data packet, the method includes:

[0036] Establish multiple time intervals based on monitoring data packets;

[0037] Generate violation evaluation values ​​in each time interval according to the preset evaluation model;

[0038] Generate an actual activity trajectory of the task to be executed according to the monitoring data packet, and generate a progress deviation evaluation value U according to the actual activity trajectory;

[0039] Generate a deviation evaluation value j according to the progress deviation evaluation value U and the violation evaluation values ​​in all time intervals;

[0040]

[0041] Among them, e1 is the preset first weight coefficient; e2 is the preset second weight coefficient; Q1 is the first fixed coefficient; Q2 is the preset second fixed coefficient; ci is the violation evaluation value in the i-th time interval; θ is the number of time intervals.

[0042] In some embodiments of the present application, the storage unit includes:

[0043] A first storage module, used to establish a sub-storage database for each monitoring sub-module;

[0044] The second storage module is used to obtain all execution tasks in the previous monitoring cycle according to the preset monitoring time node;

[0045] Establish execution task sequence B1, B1 = (b 11 , b 12 …b 1i …b 1m1 ), where b 1i is the i-th execution task in the previous monitoring cycle; m1 is the number of execution tasks in the previous monitoring cycle;

[0046] Generate the calling sub-models of each execution task in sequence;

[0047] And establish the calling sub-model sequence P, P = (p1, p2...p i …p m1 ), where pi is the calling sub-model of the i-th execution task in the previous monitoring cycle.

[0048] In some embodiments of the present application, the central control unit further includes:

[0049] The fourth processing module is used to generate a risk assessment model for each monitoring sub-area and establish a risk assessment model sequence K, K = (k1, k2...ki...kn), where ki is the risk assessment model of the ith monitoring sub-area;

[0050] A fifth processing module, used for selecting target monitoring sub-areas in sequence according to the monitoring sub-area sequence A;

[0051] Acquire image data and equipment operation data of the target monitoring sub-area, and generate a risk assessment value f of the target monitoring sub-area;

[0052] Determine whether to generate a risk warning instruction for the target monitoring sub-area according to the risk assessment value f;

[0053] Determine in turn whether to generate a risk warning instruction for each monitoring sub-area.

[0054] In some embodiments of the present application, when generating the risk assessment value f of the target monitoring sub-area, it includes:

[0055] Obtaining a risk assessment model for the target monitoring sub-area, and generating a risk assessment value f according to the risk assessment model;

[0056]

[0057] Among them, e3 is the preset third weight coefficient; e4 is the preset fourth weight coefficient; e5 is the preset fifth weight coefficient; Q3 is the preset third fixed coefficient; Q4 is the preset fourth fixed coefficient; Q5 is the preset fifth fixed coefficient; r1 is the number of risk behavior indicators in the target monitoring sub-area; hi is the real-time reference value of the i-th risk behavior indicator; βi is the influencing factor of the i-th risk behavior indicator; r1 is the number of equipment operation evaluation indicators in the target monitoring sub-area; gi is the real-time reference value of the i-th equipment operation evaluation indicator; g'i is the standard reference value of the i-th equipment operation evaluation indicator; ηi is the influencing factor of the i-th equipment operation evaluation indicator; Y is the regional evaluation value set based on the authority level of the target monitoring sub-area.

[0058] In some embodiments of the present application, determining whether to generate a risk warning instruction for a target monitoring sub-area includes:

[0059] Preset a first risk assessment value threshold F1 and a second risk assessment value threshold F2;

[0060] If f<F1, no risk warning instruction is generated;

[0061] If F1≤f<F2, the fifth processing module generates a first-level risk warning instruction for the target monitoring sub-area;

[0062] If f≥F2, the fifth processing module generates a second-level risk warning instruction for the target monitoring sub-area.

[0063] Compared with the prior art, the comprehensive safety management system for a power plant in the embodiment of the present application has the following beneficial effects:

[0064] By adding monitoring units, image data and equipment operation data within the power plant are collected, and all pending tasks are obtained according to the preset monitoring cycle, the personnel within the plant are accurately monitored, and early warning analysis of potential risks is carried out through the collected real-time data and operating processes, thereby reducing the probability of accidents and improving the safety and management efficiency of the workplace within the plant.

[0065] By setting up multiple monitoring sub-areas, the plant area is monitored in different areas. By dynamically combining operation process monitoring and regional monitoring, a multi-monitoring system is constructed to achieve accurate early warning of personnel operation risks and regional operation risks, thereby ensuring the safe operation of the power plant. BRIEF DESCRIPTION OF THE DRAWINGS

[0066] Figure 1 It is a structural diagram of a comprehensive safety management system for a power plant in a preferred embodiment of the present application. DETAILED DESCRIPTION

[0067] The specific implementation methods of the present application are further described in detail below in conjunction with the accompanying drawings and examples. The following examples are used to illustrate the present application but are not intended to limit the scope of the present application.

[0068] 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.

[0069] 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.

[0070] 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 the internal communication 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.

[0071] like Figure 1 As shown, a comprehensive safety management system for a power plant according to a preferred embodiment of the present application includes:

[0072] A monitoring unit, including multiple monitoring submodules, is used to collect image data and equipment operation data within the factory area;

[0073] Central control unit, used to set multiple monitoring sub-areas;

[0074] The central control unit is also used to establish multiple monitoring cycles and determine whether to generate an early warning instruction based on the image data and equipment operation data in a single monitoring cycle;

[0075] The storage unit is used to establish a storage database. The storage unit is also used to store historical monitoring data collected by the monitoring unit.

[0076] Specifically, the monitoring submodule is preferably a video monitoring device and an equipment monitoring device of a power plant, which is used to collect image data of personnel activities in the power plant and operation data of power plant equipment.

[0077] Specifically, the central control unit includes:

[0078] The first processing module is used to establish a monitoring sub-area sequence A, A = (a1, a2...ai...an), where ai is the i-th monitoring sub-area and n is the number of monitoring sub-areas;

[0079] The first processing module is also used to set the authority level of each monitoring sub-area;

[0080] The first control module is used to establish an electronic monitoring map and generate a collaborative control model between various monitoring sub-modules.

[0081] Specifically, multiple monitoring sub-areas are set according to different working areas in the power plant, and corresponding authority levels are set according to the degree of danger and importance of each monitoring sub-area. The higher the authority level, the higher the degree of danger and importance of the corresponding monitoring sub-area.

[0082] Specifically, corresponding electronic fences are set according to different authority levels to implement functions such as prohibiting approach to high-risk areas, prohibiting entry to dangerous areas, illegal intrusion into key areas, and regional authorization to ensure the safe operation of the power plant.

[0083] In a preferred embodiment of the present application, the central control unit further includes:

[0084] A second processing module is used to set multiple monitoring cycles;

[0085] The second processing module is also used to obtain the work plan parameters within the current monitoring cycle according to the preset monitoring time node;

[0086] According to the work plan parameters, a sequence B of tasks to be executed in the current monitoring cycle is established, B = (b1, b2...bi...bm), where bi is the i-th task to be executed in the current monitoring cycle; m is the number of tasks to be executed in the current monitoring cycle;

[0087] Among them, a single task to be performed includes the expected activity trajectory of personnel, the number of monitored personnel and the expected behavior of personnel;

[0088] The third processing module is used to determine whether to generate a warning instruction for each task to be executed.

[0089] Specifically, the monitoring cycle is preferably a single working day. According to all the work that needs to be performed by the power plant within a single monitoring cycle, a corresponding series of tasks to be performed is constructed, wherein the tasks to be performed include but are not limited to equipment maintenance, daily work, and guard duty, etc., a series of work performed by staff entering the plant.

[0090] Specifically, the third processing module is also used for:

[0091] According to the sequence B of tasks to be executed, the i-th task to be executed is selected as the target task to be executed;

[0092] Set the data call strategy of the monitoring unit according to the expected activity trajectory of the target personnel to perform the task;

[0093] Obtain original monitoring data according to the data calling strategy;

[0094] Preprocess the original monitoring data and generate a monitoring data packet of the target task to be executed based on the preprocessing results;

[0095] Generate a deviation evaluation value j of the target task to be executed according to the monitoring data packet;

[0096] Determine whether to generate a warning instruction for the target task to be executed according to the deviation evaluation value j;

[0097] Determine in turn whether the i-th task to be executed generates a warning instruction.

[0098] Specifically, the expected activity trajectories of the corresponding personnel are generated according to different tasks to be performed, so as to determine the calling time nodes for collecting data from each monitoring device and generate a calling strategy. The corresponding video surveillance can be called according to the position of the personnel in the task to be performed, and automatic switching of the video can be realized to achieve continuous monitoring of the personnel in a single task to be performed.

[0099] Specifically, the expected activity trajectory of personnel is composed of the historical time list of entry and exit of each area and each building and the activity range of personnel. By generating the expected activity trajectory of personnel and building the corresponding electronic fence of the tasks to be performed, the potential human risks in the on-site operation process are perceived and warned. Actively identify typical violations of the ten prohibitions such as staying overtime without a ticket, expanding the scope of operation without authorization, the absence of the person in charge when someone is working on site, and working without supervision, and generate a list of violations or risks. Avoid the risk of failure caused by improper operation of personnel.

[0100] Specifically, based on the deep learning algorithm, automatic analysis and recognition of face recognition is performed to pre-process the raw data of each monitoring device, and the image data of relevant personnel in the task to be performed is extracted to generate the corresponding monitoring data packet.

[0101] Specifically, the third processing module is also used for:

[0102] Preset a first deviation evaluation value J1 and a second deviation evaluation value J2;

[0103] If j<J1, no warning instruction is generated;

[0104] If J1≤j<J2, the third processing module generates a first-level warning instruction for the target task to be executed;

[0105] If j≧J2, the third processing module generates a secondary warning instruction for the target task to be executed.

[0106] Specifically, a first-level warning instruction means that there are violations in the current task to be executed, and warnings must be sent to the relevant staff in a timely manner to avoid accident risks.

[0107] The second-level warning instruction means that serious violations have occurred in the current tasks to be executed, and the current tasks to be executed need to be stopped and the relevant staff must be replaced.

[0108] Specifically, when generating the deviation evaluation value j of the target task to be executed according to the monitoring data packet, it includes:

[0109] Establish multiple time intervals based on monitoring data packets;

[0110] Generate violation evaluation values ​​in each time interval according to the preset evaluation model;

[0111] Generate an actual activity trajectory of the task to be executed according to the monitoring data packet, and generate a progress deviation evaluation value U according to the actual activity trajectory;

[0112] Generate a deviation evaluation value j according to the progress deviation evaluation value U and the violation evaluation values ​​in all time intervals;

[0113]

[0114] Among them, e1 is the preset first weight coefficient; e2 is the preset second weight coefficient; Q1 is the first fixed coefficient; Q2 is the preset second fixed coefficient; ci is the violation evaluation value in the i-th time interval; θ is the number of time intervals.

[0115] Specifically, by presetting the first fixed coefficient and the second fixed coefficient, each evaluation index in the model is normalized to ensure that each evaluation index is in the same value range.

[0116] Specifically, the image data in each time interval in the monitoring data packet is analyzed, the violation behaviors are extracted, and the corresponding violation evaluation values ​​are generated. The more violations there are, the larger the corresponding violation evaluation values ​​are.

[0117] Specifically, violations include but are not limited to height climbing, area intrusion, lingering detection, off-post detection, smoking detection, open flames, smoke, safety helmet detection, work clothes detection, phone call detection, and fast running detection.

[0118] In a preferred embodiment of the present application, the storage unit includes:

[0119] A first storage module, used to establish a sub-storage database for each monitoring sub-module;

[0120] The second storage module is used to obtain all execution tasks in the previous monitoring cycle according to the preset monitoring time node;

[0121] Establish execution task sequence B1, B1 = (b 11 , b 12 …b 1i …b 1m1 ), where b 1i is the i-th execution task in the previous monitoring cycle; m1 is the number of execution tasks in the previous monitoring cycle;

[0122] Generate the calling sub-models of each execution task in sequence;

[0123] And establish the calling sub-model sequence P, P = (p1, p2...p i …p m1 ), where pi is the calling sub-model of the i-th execution task in the previous monitoring cycle.

[0124] Specifically, the calling sub-model refers to setting corresponding data anchor points based on the time nodes when relevant personnel appear in various monitoring devices during the execution of the task. By constructing the calling sub-model, the corresponding monitoring data can be quickly found based on the execution of the task. In the event of anomalies that require historical backtracking, fast queries can be achieved to improve the management efficiency of the power plant.

[0125] In a preferred embodiment of the present application, the central control unit further includes:

[0126] The fourth processing module is used to generate a risk assessment model for each monitoring sub-area and establish a risk assessment model sequence K, K = (k1, k2...ki...kn), where ki is the risk assessment model of the ith monitoring sub-area;

[0127] A fifth processing module, used for selecting target monitoring sub-areas in sequence according to the monitoring sub-area sequence A;

[0128] Acquire image data and equipment operation data of the target monitoring sub-area, and generate a risk assessment value f of the target monitoring sub-area;

[0129] Determine whether to generate a risk warning instruction for the target monitoring sub-area according to the risk assessment value f;

[0130] Determine in turn whether to generate a risk warning instruction for each monitoring sub-area.

[0131] Specifically, when generating the risk assessment value f of the target monitoring sub-area, it includes:

[0132] Obtaining a risk assessment model for the target monitoring sub-area, and generating a risk assessment value f according to the risk assessment model;

[0133]

[0134] Among them, e3 is the preset third weight coefficient; e4 is the preset fourth weight coefficient; e5 is the preset fifth weight coefficient; Q3 is the preset third fixed coefficient; Q4 is the preset fourth fixed coefficient; Q5 is the preset fifth fixed coefficient; r1 is the number of risk behavior indicators in the target monitoring sub-area; hi is the real-time reference value of the i-th risk behavior indicator; βi is the influencing factor of the i-th risk behavior indicator; r1 is the number of equipment operation evaluation indicators in the target monitoring sub-area; gi is the real-time reference value of the i-th equipment operation evaluation indicator; g'i is the standard reference value of the i-th equipment operation evaluation indicator; ηi is the influencing factor of the i-th equipment operation evaluation indicator; Y is the regional evaluation value set based on the authority level of the target monitoring sub-area.

[0135] Specifically, through dynamic monitoring of each monitoring sub-area, timely warnings can be issued for various regional risks such as unauthorized intrusion, regional intrusion, open flames, smoke, etc. in each area to ensure the safe operation of the power plant.

[0136] Specifically, all evaluation indicators in the evaluation model are normalized by presetting the third fixed coefficient, the fourth fixed coefficient and the fifth fixed coefficient, so that each evaluation indicator is in the same value range.

[0137] Specifically, according to the authority level and equipment parameters of the monitoring sub-area, corresponding equipment operation evaluation indicators and risk behavior indicators are set to achieve accurate monitoring of each monitoring sub-area.

[0138] Specifically, the higher the authority level, the higher the corresponding regional evaluation value, and the higher the risk evaluation value, the greater the possibility of accident risk in the current monitoring sub-area.

[0139] Specifically, by setting up multiple monitoring sub-areas, the plant area is monitored in different areas. By dynamically combining operation process monitoring and regional monitoring, a multi-monitoring system is constructed to achieve accurate early warning of personnel operation risks and regional operation risks, thereby ensuring the safe operation of the power plant.

[0140] Specifically, when determining whether to generate a risk warning instruction for a target monitoring sub-area, it includes:

[0141] Preset a first risk assessment value threshold F1 and a second risk assessment value threshold F2;

[0142] If f<F1, no risk warning instruction is generated;

[0143] If F1≤f<F2, the fifth processing module generates a first-level risk warning instruction for the target monitoring sub-area;

[0144] If f≥F2, the fifth processing module generates a second-level risk warning instruction for the target monitoring sub-area.

[0145] Specifically, the first-level risk warning instruction means that there are violations in the current monitoring sub-area, and relevant personnel need to be warned and rectified. The second-level risk warning instruction means that there is a high possibility of safety risks in the current monitoring sub-area, and work must be stopped immediately for inspection and rectification to avoid safety accidents.

[0146] According to the first concept of the present application, by adding a monitoring unit, image data and equipment operation data within the power plant are collected, and all tasks to be executed are obtained according to the preset monitoring cycle, and accurate monitoring of personnel within the plant is carried out. Through the collected real-time data and operating procedures, early warning analysis of potential risks is carried out, the probability of accidents is reduced, and the safety and management efficiency of workplaces within the plant are improved.

[0147] According to the second concept of the present application, multiple monitoring sub-areas are set up to carry out regional monitoring of the plant area. By dynamically combining operation process monitoring and regional monitoring, a multiple monitoring system is constructed to achieve accurate early warning of personnel operation risks and regional operation risks, thereby ensuring the safe operation of the power plant.

[0148] The above is only a preferred implementation of the present application. It should be pointed out that for ordinary technicians in this technical field, several improvements and substitutions can be made without departing from the technical principles of the present application. These improvements and substitutions should also be regarded as the scope of protection of the present application.

Claims

1. An integrated safety management system for a power plant, characterized in that: include: A monitoring unit, including a plurality of monitoring submodules, wherein the monitoring unit is used to collect image data and equipment operation data within the factory area; Central control unit, used to set multiple monitoring sub-areas; The central control unit is also used to establish multiple monitoring cycles, and determine whether to generate an early warning instruction based on the image data and equipment operation data in a single monitoring cycle; The storage unit is used to establish a storage database, and the storage unit is also used to store the historical monitoring data collected by the monitoring unit.

2. The integrated safety management system for a power plant according to claim 1, characterized in that: The central control unit comprises: The first processing module is used to establish a monitoring sub-area sequence A, A = (a1, a2...ai...an), where ai is the i-th monitoring sub-area and n is the number of monitoring sub-areas; The first processing module is also used to set the authority level of each monitoring sub-area; The first control module is used to establish an electronic monitoring map and generate a collaborative control model between various monitoring sub-modules.

3. The integrated safety management system for a power plant according to claim 2, characterized in that: The central control unit also includes: A second processing module is used to set multiple monitoring cycles; The second processing module is also used to obtain the work plan parameters within the current monitoring cycle according to the preset monitoring time node; According to the work plan parameters, a sequence B of tasks to be executed in the current monitoring cycle is established, B = (b1, b2...bi...bm), where bi is the i-th task to be executed in the current monitoring cycle; m is the number of tasks to be executed in the current monitoring cycle; Among them, a single task to be performed includes the expected activity trajectory of personnel, the number of monitored personnel and the expected behavior of personnel; The third processing module is used to determine whether to generate a warning instruction for each task to be executed.

4. The integrated safety management system for a power plant according to claim 3, characterized in that: The third processing module is also used for: According to the sequence B of tasks to be executed, the i-th task to be executed is selected as the target task to be executed; Set the data call strategy of the monitoring unit according to the expected activity trajectory of the target personnel to perform the task; Obtain original monitoring data according to the data calling strategy; Preprocess the original monitoring data and generate a monitoring data packet of the target task to be executed based on the preprocessing results; Generate a deviation evaluation value j of the target task to be executed according to the monitoring data packet; Determine whether to generate a warning instruction for the target task to be executed according to the deviation evaluation value j; Determine in turn whether the i-th task to be executed generates a warning instruction.

5. The integrated safety management system for a power plant according to claim 4, characterized in that: The third processing module is also used for: Preset a first deviation evaluation value J1 and a second deviation evaluation value J2; If j<J1, no warning instruction is generated; If J1≤j<J2, the third processing module generates a first-level warning instruction for the target task to be executed; If j≧J2, the third processing module generates a secondary warning instruction for the target task to be executed.

6. The integrated safety management system for a power plant according to claim 4, characterized in that: When generating the deviation evaluation value j of the target task to be executed according to the monitoring data packet, it includes: Establish multiple time intervals based on monitoring data packets; Generate violation evaluation values ​​in each time interval according to the preset evaluation model; Generate an actual activity trajectory of the task to be executed according to the monitoring data packet, and generate a progress deviation evaluation value U according to the actual activity trajectory; Generate a deviation evaluation value j according to the progress deviation evaluation value U and the violation evaluation values ​​in all time intervals; Among them, e1 is the preset first weight coefficient; e2 is the preset second weight coefficient; Q1 is the first fixed coefficient; Q2 is the preset second fixed coefficient; ci is the violation evaluation value in the i-th time interval; θ is the number of time intervals.

7. The integrated safety management system for a power plant according to claim 4, characterized in that: The storage unit comprises: A first storage module, used to establish a sub-storage database for each monitoring sub-module; The second storage module is used to obtain all execution tasks in the previous monitoring cycle according to the preset monitoring time node; Establish execution task sequence B1, B1 = (b 11 , b 12 …b 1i …b 1m1 ), where b 1i is the i-th execution task in the previous monitoring cycle; m1 is the number of execution tasks in the previous monitoring cycle; Generate the calling sub-models of each execution task in sequence; And establish the calling sub-model sequence P, P = (p1, p2...p i …p m1 ), where pi is the calling sub-model of the i-th execution task in the previous monitoring cycle.

8. The integrated safety management system for a power plant according to claim 4, characterized in that: The central control unit also includes: The fourth processing module is used to generate a risk assessment model for each monitoring sub-area and establish a risk assessment model sequence K, K = (k1, k2...ki...kn), where ki is the risk assessment model of the ith monitoring sub-area; A fifth processing module, used for selecting target monitoring sub-areas in sequence according to the monitoring sub-area sequence A; Acquire image data and equipment operation data of the target monitoring sub-area, and generate a risk assessment value f of the target monitoring sub-area; Determine whether to generate a risk warning instruction for the target monitoring sub-area according to the risk assessment value f; Determine in turn whether to generate a risk warning instruction for each monitoring sub-area.

9. The integrated safety management system for a power plant according to claim 8, characterized in that: When generating the risk assessment value f of the target monitoring sub-area, it includes: Obtaining a risk assessment model for the target monitoring sub-area, and generating a risk assessment value f according to the risk assessment model; Among them, e3 is the preset third weight coefficient; e4 is the preset fourth weight coefficient; e5 is the preset fifth weight coefficient; Q3 is the preset third fixed coefficient; Q4 is the preset fourth fixed coefficient; Q5 is the preset fifth fixed coefficient; r1 is the number of risk behavior indicators in the target monitoring sub-area; hi is the real-time reference value of the i-th risk behavior indicator; βi is the influencing factor of the i-th risk behavior indicator; r1 is the number of equipment operation evaluation indicators in the target monitoring sub-area; gi is the real-time reference value of the i-th equipment operation evaluation indicator; g'i is the standard reference value of the i-th equipment operation evaluation indicator; ηi is the influencing factor of the i-th equipment operation evaluation indicator; Y is the regional evaluation value set based on the authority level of the target monitoring sub-area.

10. The integrated safety management system for a power plant according to claim 9, characterized in that: When judging whether to generate a risk warning instruction for the target monitoring sub-area, it includes: Preset a first risk assessment value threshold F1 and a second risk assessment value threshold F2; If f<F1, no risk warning instruction is generated; If F1≤f<F2, the fifth processing module generates a first-level risk warning instruction for the target monitoring sub-area; If f≥F2, the fifth processing module generates a second-level risk warning instruction for the target monitoring sub-area.

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