Power station multi-system linkage method

Through an intelligent integrated platform, the various business systems of the power station are integrated to realize data sharing and linkage applications, the problem of "business islands" between multiple power station systems is solved, operation and maintenance efficiency and safety are improved, and the foundation for unmanned duty in the power station is laid.

CN120262680APending Publication Date: 2025-07-04HUANENG LANCANG RIVER HYDROPOWER CO LTD
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Patent Information

Application Number
CN202510362898.5
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2025-03-26
Publication Date
2025-07-04

AI Technical Summary

Technical Problem

In the existing multi-system linkage method of power stations, each business system is independent of each other and data cannot be shared, resulting in low operation and maintenance efficiency, and limited accuracy and timeliness of fault detection, positioning and emergency response.

Method used

The intelligent integrated platform is adopted to integrate various business systems, and through data collection, fault diagnosis and positioning, emergency response process call and system linkage, data sharing and linkage application of various business systems is realized.

Benefits of technology

It improves the speed and accuracy of equipment inspection, fault detection and positioning, reduces the operation and maintenance workload, reduces the risk of accident expansion, improves the informatization and intelligence level of the power station, and provides support for unmanned duty.

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Abstract

The invention provides a power station multi-system linkage method, which comprises an intelligent integrated platform, and linked business systems are distributed in a region I, a region II and a region III. The intelligent integrated platform gets through data interfaces among all service systems, linkage of all the systems is dispatched in a unified mode through the integrated platform, services in the same partition can be directly linked through a network, services in the I and II intervals are linked through a firewall, and the I, II and III areas unidirectionally dispatch service actions in the III area through an isolation device. By integrating each monitoring and control system of the power station, automatic inspection and monitoring, intelligent operation and maintenance and linkage emergency disposal of each system of equipment are realized, equipment inspection and fault detection are effectively improved, and the operation and maintenance workload of the power station is reduced. Existing resources of the power station are effectively integrated, the informatization and intelligence level of the power station is improved, intelligent analysis, intelligent early warning and linkage control of the power station are achieved, and powerful support is provided for thoroughly achieving unattended operation of the power station and building a modern intelligent power station.
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Description

Technical Field

[0001] The present invention relates to the field of power station linkage, and more particularly, to a method for multi-system linkage of power stations. Background Art

[0002] The background art of the method for multi-system linkage of power stations involves multiple key areas and technological advancements in the power system. With the continuous expansion of the scale of the power system and the improvement of the intelligent level, the operation and maintenance of power stations have become increasingly complex, posing higher requirements for the collaborative work among multiple systems.

[0003] Chinese Patent Application No.: CN202010478173.X proposed a multi-power-station linkage intelligent warehouse system, including a nuclear power warehouse linkage management system, which is used to conduct linkage management on the warehouses of each nuclear power station, solve the problem of difficult resource allocation between the warehouses of multiple nuclear power stations, and realize the linkage management of the warehouses of each nuclear power station, which is beneficial to the resource allocation of the warehouses between each nuclear power station.

[0004] However, there are still some deficiencies in the existing multi-system linkage of power stations that need to be improved. Currently, multiple business systems in large hydropower stations often exist independently, with data unable to be shared and insufficient linkage applications, resulting in low operation and maintenance efficiency of power stations, and limited accuracy and timeliness of fault detection, location, and emergency disposal. Therefore, how to break down the barriers between production systems and achieve the linkage application of multiple business systems has become an important issue in the intelligent development of power stations. Therefore, we propose a method for multi-system linkage of power stations. Summary of the Invention

[0005] The purpose of the present invention is to address the problems raised in the background art. To achieve the above-mentioned invention purpose, the present invention provides the following technical solutions: A method for multi-system linkage of power stations, including the following steps: S1. System initialization and data collection:

[0006] S11. Start the intelligent integrated platform to ensure the normal operation of all business systems and their connection to the platform;

[0007] S12. Through the intelligent integrated platform, collect the real-time data of each business system, where the business systems include a monitoring system, a ventilation system, an access control system, a fire protection system, and an industrial television system, and the real-time data includes equipment operation status, parameter information, and alarm signals;

[0008] S2. Fault diagnosis and location:

[0009] S21. The diagnostic analysis processing server conducts diagnostic analysis on the operation status of the power station production equipment based on the data of each business system collected;

[0010] S22. Utilize the expert database for accident and fault diagnosis and analysis, analyze and compare data from multiple business systems, and determine whether there is equipment failure or accident;

[0011] S23. If it is identified as equipment failure or accident, the specific location, type and severity of the failure or accident are determined;

[0012] S3. Call the emergency response process:

[0013] S31, the workflow processing server calls the corresponding emergency handling process from the linkage strategy knowledge base according to the diagnosis result;

[0014] S32. Emergency handling process includes the triggering sequence, instructions and linkage strategies of each business system;

[0015] S4. Realize system linkage:

[0016] S41. The intelligent integrated platform issues instructions to relevant business systems through its interface according to the emergency response process;

[0017] S42. Each business system performs corresponding operations according to the received instructions to achieve linkage disposal. In the fire linkage strategy, the platform calls the emergency disposal process to link the factory ventilation system to control the start and stop of the fan, the access control system to control the opening and closing of the channel, and the fire protection system to implement fire extinguishing.

[0018] S5. Monitoring and feedback:

[0019] S51. During the system linkage treatment process, the intelligent integrated platform continuously monitors the operating status and treatment effects of each business system;

[0020] S52. When abnormal situations are found or the handling effect is poor, the platform promptly adjusts the emergency handling process or calls other strategies for intervention;

[0021] S53. After the disposal is completed, the platform will summarize and analyze the disposal results and feedback information.

[0022] As the preferred technical solution of the present invention, S4, the process of realizing system linkage is realized through the overall intelligent integrated platform, and the linked business systems are distributed in areas I, II, and III; the intelligent integrated platform opens up the data interfaces between the business systems, and the linkage of each system is uniformly dispatched by the integrated platform. The business in the same partition is directly linked through the network, the business between areas I and II is linked through the firewall, and areas I, II and III unidirectionally mobilize the business actions of area III through isolation devices. The linkage of multiple systems in the power station is based on the intelligent integrated platform, which is divided into an expert database for accident and fault diagnosis and analysis processing, a diagnosis and analysis processing server, a linkage strategy knowledge base, and a workflow processing server.

[0023] As a preferred technical solution of the present invention, the diagnostic analysis processing server diagnoses and analyzes the operating status of power station production equipment based on the data of each business system collected by the intelligent integrated platform; after identifying equipment failures or accidents, the workflow processing server calls the corresponding emergency response process from the linkage strategy knowledge base and issues it to each relevant business system through the intelligent integrated platform interface for workflow joint disposal.

[0024] As a preferred technical solution of the present invention, the diagnostic analysis processing server calculates the failure probability:

[0025] [P(F) = 1 - prod_{i = 1}^{n}(1 - P_i)]

[0026] Where:

[0027] (P(F)) represents the probability of failure of the entire power station system;

[0028] (P_i) represents the probability of failure of the (i)-th subsystem;

[0029] (n) represents the number of subsystems participating in the linkage.

[0030] As a preferred technical solution of the present invention, the intelligent integrated platform calculates the linkage response time:

[0031] [T_{response} = max(T_1, T_2, \ldots, T_n)]

[0032] Where:

[0033] (T_{response}) represents the response time of the entire linkage process;

[0034] (T_i) represents the time required for the (i)-th subsystem to complete execution from receiving the linkage instruction.

[0035] As a preferred technical solution of the present invention, the workflow processing server's resource optimization allocation index:

[0036] I = \frac{sum_{i = 1}^{n}(W_i \times U_i)}{sum_{i = 1}^{n}W_i}

[0037] Where:

[0038] (I) represents the resource optimization allocation index, which is used to evaluate the utilization efficiency and allocation rationality of resources in the linkage process;

[0039] (W_i) represents the weight of the (i)-th subsystem in the linkage process, which is set according to the importance and critical factors of the subsystem;

[0040] (U_i) represents the resource utilization rate of the (i)-th subsystem during the linkage process.

[0041] As a preferred technical solution of the present invention, the formula for evaluating the fault influence range of the accident and fault diagnosis and analysis is:

[0042] A = sum_{i = 1}^{n}(S_i times P(F_i))

[0043] Where:

[0044] (A) represents the comprehensive evaluation value of the fault influence range;

[0045] (S_i) represents the importance or criticality score of the (i)-th subsystem in the overall operation of the power station;

[0046] (P(F_i)) represents the probability of the (i)-th subsystem having a fault.

[0047] As a preferred technical solution of the present invention, the formula for ranking the priority of the linkage strategy of the workflow processing server is:

[0048] [R_j = frac{sum_{i = 1}^{m}(W_{ij}timesC_{ij})}{sum_{i = 1}^{m}W_{ij}}]

[0049] Where:

[0050] (R_j) represents the priority of the (j)-th linkage strategy;

[0051] (W_{ij}) represents the influence weight of the (i)-th evaluation index on the (j)-th linkage strategy;

[0052] (C_{ij}) represents the evaluation score of the (i)-th evaluation index on the (j)-th linkage strategy;

[0053] (m) represents the number of indexes used to evaluate the linkage strategy.

[0054] As a preferred technical solution of the present invention, the evaluation of the linkage efficiency of the workflow processing server:

[0055] [E = frac{text{Actual linkage completion time}}{text{Theoretical shortest linkage time}}]

[0056] Where:

[0057] (E) represents the linkage efficiency;

[0058] The numerator represents the time required to actually complete the linkage.

[0059] As a preferred technical solution of the present invention, the stability formula of the workflow processing server system is: [S_t = 1 - \frac{\text{Number of linkage failures}}{\text{Total number of linkages}} \times 100\%];

[0060] Where:

[0061] (S_t) represents the system stability;

[0062] The numerator represents the number of linkage failures within a certain period of time;

[0063] The denominator represents the total number of linkages during this period.

[0064] Compared with the prior art, the beneficial effects of the present invention are as follows: In the solution of the present invention, by integrating various monitoring and control systems of the power station and through an intelligent integrated platform, automatic inspection and monitoring of equipment, intelligent operation and maintenance, and emergency disposal of system linkages are realized, effectively improving the speed and accuracy of equipment inspection, fault detection, positioning, and comprehensive processing, reducing the workload of power station operation and maintenance, reducing the risk of accident consequences caused by improper human operation, and saving the operation cost of the power station.

[0065] The present invention effectively integrates the existing resources of the power station, improves the informatization and intelligent level of the power station, realizes intelligent analysis, intelligent early warning, and linkage control of the power station, and provides strong support for the complete realization of unattended operation of the power station and the construction of a modern intelligent power station. BRIEF DESCRIPTION OF THE DRAWINGS

[0066] Figure 1 It is a multi-system linkage service distribution diagram provided by the present invention;

[0067] Figure 2 It is a multi-system linkage application architecture diagram of the power station provided by the present invention. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0068] To make the objectives, technical solutions, and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are some, but not all, of the embodiments of the present invention.

[0069] Therefore, the following detailed description of the embodiments of the present invention is not intended to limit the scope of the claimed invention, but merely represents some embodiments of the present invention. All other embodiments obtained by those of ordinary skill in the art based on the embodiments of the present invention without creative efforts fall within the scope of protection of the present invention. It should be noted that, without conflict, the embodiments in the present invention and the features and technical solutions in the embodiments may be combined with each other. It should be noted that similar reference numerals and letters represent similar items in the following drawings. Therefore, once an item is defined in one drawing, it does not need to be further defined and explained in subsequent drawings.

[0070] Embodiment 1: Please refer to Figure 1 - Figure 2 , a method for multi-system linkage of a power station, comprising the following steps: S1. System initialization and data collection:

[0071] S11. Start the intelligent integrated platform to ensure the normal operation of all business systems and their connection to the platform;

[0072] S12. Through the intelligent integrated platform, collect the real-time data of each business system, where the business systems include a monitoring system, a ventilation system, an access control system, a fire protection system, and an industrial television system, and the real-time data includes equipment operation status, parameter information, and alarm signals;

[0073] S2. Fault diagnosis and location:

[0074] S21. The diagnostic analysis processing server diagnoses and analyzes the operation status of the power station production equipment according to the data of each business system collected;

[0075] S22. Utilize the accident and fault diagnosis analysis processing expert database to comprehensively analyze and compare the data of multiple business systems to determine whether there are equipment failures or accidents;

[0076] S23. If it is identified as an equipment failure or accident, determine the specific location, type, and severity of the failure or accident;

[0077] S3. Invoke the emergency response process:

[0078] S31. The workflow processing server invokes the corresponding emergency response process from the linkage strategy knowledge base according to the diagnostic result;

[0079] S32. The emergency response process includes the trigger sequence, instructions, and linkage strategies of each business system;

[0080] S4. Implement system linkage:

[0081] S41. The intelligent integrated platform issues instructions to each relevant business system through its interface according to the emergency response process;

[0082] S42. Each business system performs corresponding operations according to the received instructions to achieve linkage disposal. In the fire linkage strategy, the platform calls the emergency disposal process to link the factory ventilation system to control the start and stop of the fan, the access control system to control the opening and closing of the channel, and the fire protection system to implement fire extinguishing.

[0083] S5. Monitoring and feedback:

[0084] S51. During the system linkage treatment process, the intelligent integrated platform continuously monitors the operating status and treatment effects of each business system;

[0085] S52. When abnormal situations are found or the handling effect is poor, the platform promptly adjusts the emergency handling process or calls other strategies for intervention;

[0086] S53. After the disposal is completed, the platform will summarize and analyze the disposal results and feedback information.

[0087] S4. The process of realizing system linkage is realized through the overall intelligent integrated platform. The linked business systems are distributed in areas I, II and III. The intelligent integrated platform opens up the data interface between the business systems. The linkage of each system is centrally dispatched by the integrated platform. The business in the same area is directly linked through the network. The business between areas I and II is linked through the firewall. Areas I, II and III unidirectionally mobilize the business actions of area III through isolation devices. The linkage of multiple systems in the power station is based on the intelligent integrated platform, which is divided into an expert database for accident and fault diagnosis and analysis processing, a diagnosis and analysis processing server, a linkage strategy knowledge base and a workflow processing server.

[0088] The diagnostic analysis and processing server performs diagnostic analysis on the operating status of the power plant's production equipment based on the data from various business systems collected by the intelligent integrated platform; when an equipment failure or accident is identified, the workflow processing server calls the corresponding emergency response process from the linkage strategy knowledge base, and sends it to each related business system through the intelligent integrated platform interface for process-based joint response.

[0089] The diagnostic analysis process calculates the probability of server failure:

[0090] [P(F)=1prod_{i=1}^{n}(1P_i)]

[0091] in:

[0092] (P(F)) represents the probability of failure of the entire power plant system;

[0093] (P_i) represents the probability of failure of the (i)th subsystem;

[0094] (n) represents the number of subsystems involved in the linkage.

[0095] Calculation of the linkage response time of the intelligent integrated platform:

[0096] [T_{response} = max(T_1,T_2,\ldots,T_n)]

[0097] Where:

[0098] (T_{response}) represents the response time of the entire linkage process;

[0099] (T_i) represents the time required for the (i)-th subsystem to complete the execution from receiving the linkage instruction.

[0100] The optimized allocation index of the workflow processing server resources:

[0101] I = \frac{\sum_{i = 1}^{n}(W_i \times U_i)}{\sum_{i = 1}^{n}W_i}

[0102] Where:

[0103] (I) represents the optimized allocation index of resources, which is used to evaluate the utilization efficiency and allocation rationality of resources in the linkage process;

[0104] (W_i) represents the weight of the (i)-th subsystem in the linkage process, which is set according to the importance and critical factors of the subsystem;

[0105] (U_i) represents the resource utilization rate of the (i)-th subsystem in the linkage process.

[0106] The evaluation formula for the fault influence range of accident and fault diagnosis and analysis processing is:

[0107] A = \sum_{i = 1}^{n}(S_i \times P(F_i))

[0108] Where:

[0109] (A) represents the comprehensive evaluation value of the fault influence range;

[0110] (S_i) represents the importance or criticality score of the (i)-th subsystem in the overall operation of the power station;

[0111] (P(F_i)) represents the probability of the (i)-th subsystem having a fault.

[0112] The formula for ranking the priority of the linkage strategy of the workflow processing server is:

[0113] [R_j = \frac{\sum_{i = 1}^{m}(W_{ij} \times C_{ij})}{\sum_{i = 1}^{m}W_{ij}}]

[0114] Where:

[0115] (R_j) represents the priority of the (j)-th linkage strategy;

[0116] (W_{ij}) represents the influence weight of the (i)-th evaluation index on the (j)-th linkage strategy;

[0117] (C_{ij}) represents the evaluation score of the (i)-th evaluation index on the (j)-th linkage strategy;

[0118] (m) represents the number of indicators used to evaluate the linkage strategy.

[0119] The evaluation of the linkage efficiency of the workflow processing server is as follows:

[0120] [E = \frac{\text{Actual linkage completion time}}{\text{Theoretical shortest linkage time}}]

[0121] Where:

[0122] (E) represents the linkage efficiency;

[0123] The numerator represents the time required to complete the actual linkage.

[0124] The formula for the system stability of the workflow processing server is: [S_t = 1 - \frac{\text{Number of linkage failures}}{\text{Total number of linkages}} \times 100\%];

[0125] Where:

[0126] (S_t) represents the system stability;

[0127] The numerator represents the number of linkage failures within a certain period of time;

[0128] The denominator represents the total number of linkages during this period.

[0129] To ensure the safe and stable operation of the power station, effectively improve the accuracy and timeliness of equipment inspection, fault detection, location and emergency disposal in the power station, break the barriers between production systems, realize the linkage application of multi-business systems, display all key operation data for power station operation and maintenance personnel, automatically execute business processes according to predetermined strategies, reduce the workload of operation and maintenance personnel, reduce the risk of human misoperation, support the emergency handling of power station faults and accidents, and improve the intelligent level of the power station.

[0130] Linkage mode: The application of multi-system linkage in power plants is realized by relying on the overall intelligent integrated platform, such as Figure 1 As shown in the figure, the linked business systems are distributed in zones I, II, and III. The intelligent integrated platform opens up the data interfaces between the business systems, and the linkage of each system is uniformly dispatched by the integrated platform. The businesses in the same zone can be directly linked through the network, and the businesses between zones I and II are linked through firewalls. Zones I, II, and III can unidirectionally mobilize the business actions of zone III through isolation devices.

[0131] Linkage application architecture: The linkage of multiple systems in power plants is based on an intelligent integrated platform and is divided into several parts: accident and fault diagnosis and analysis expert database, diagnosis and analysis processing server, linkage strategy knowledge base and workflow processing server. Figure 2 As shown. The diagnostic analysis and processing server diagnoses and analyzes the operating status of the power plant production equipment based on the data of various business systems collected by the intelligent integration platform; when it is identified as an equipment failure or accident, the workflow processing server calls the corresponding emergency disposal process from the linkage strategy knowledge base and sends it to various related business systems through the intelligent integration platform interface to realize process-based joint disposal.

[0132] Accident and fault diagnosis, analysis and processing expert database: Due to the complexity and diversity of the operating environment and conditions of power station units, there is a risk of misjudgment in the analysis and judgment of equipment failures and accidents based on the sensor data of a single business system. Through the intelligent integrated platform, we collect and summarize typical equipment failure cases to establish an expert database, and conduct analysis and comparison based on the data of multiple business systems, and make comprehensive judgments to achieve accurate positioning, judgment and processing of equipment failures.

[0133] Disposal workflow: By analyzing and summarizing various important typical faults and accidents in the operation of power station equipment, we have studied and clarified the correct emergency disposal process, established a powerful emergency disposal strategy library, and the intelligent integrated platform sets the trigger sequence and instructions of each business system according to the specific settings, and links each system for comprehensive disposal.

[0134] Fire linkage strategy: After the system receives the fire alarm signal from the monitoring system, the platform calls the emergency

[0135] The disposal process links the factory ventilation system to control the start and stop of the fan, the access control system to control the opening and closing of the channel, the fire protection system to implement fire extinguishing, the industrial TV system automatically pops up and links the switching of relevant video images at the alarm location, and the oncall alarm system sends information to relevant personnel of the power station.

[0136] Device failure or accident linkage strategy: After the monitoring system reports an abnormal signal of device failure, the platform system calls the emergency response process to link the automatic pop-up and switching of relevant video images at the warning location of the industrial television system, and links each relevant business system for joint disposal according to the preset disposal process, so as to achieve the rapid positioning and correct disposal of device failures.

[0137] By integrating various monitoring and control systems of the power station, through the intelligent integrated platform, the automatic inspection and monitoring of equipment, intelligent operation and maintenance, and the linkage emergency response of each system are realized, effectively improving the speed and accuracy of equipment inspection, fault detection, positioning and comprehensive processing, reducing the workload of power station operation and maintenance, reducing the risk of expanding the consequences of accidents caused by improper human operation, and saving the operation cost of the power station. The present invention effectively integrates the existing resources of the power station, improves the informatization and intelligent level of the power station, realizes intelligent analysis, intelligent early warning and linkage control of the power station, and provides strong support for the complete realization of unattended operation of the power station and the construction of a modern intelligent power station.

[0138] The power station multi-system linkage method involved in the present invention realizes data sharing and linkage application among various business systems through the intelligent integrated platform, effectively solves the "business island" problem among various systems, improves the production operation efficiency and safety production level of the power station, and provides strong support for the creation of a modern intelligent power plant.

[0139] During the process of power station multi-system linkage, although most operations are automatically triggered based on preset processes and strategies, some mathematical formulas or logical expressions can also be combined to describe and calculate key parameters or conditions in certain linkage processes; the following are the formulas related to power station multi-system linkage:

[0140] Fault probability calculation

[0141] [P(F) = 1 - \prod_{i = 1}^{n}(1 - P_i)]

[0142] Where:

[0143] (P(F)) represents the probability of failure of the entire power station system;

[0144] (P_i) represents the probability of failure of the (i)-th subsystem;

[0145] (n) represents the number of subsystems participating in the linkage;

[0146] The formula is based on the assumption of probability independence, that is, the failure events of each subsystem are independent of each other;

[0147] By calculating the product of the probabilities that all subsystems do not fail, and then subtracting this product from 1, the probability of failure of the entire system is obtained;

[0148] Calculation of Linkage Response Time

[0149] [T_{response} = max(T_1, T_2, \ldots, T_n)]

[0150] Where:

[0151] (T_{response}) represents the response time of the entire linkage process;

[0152] (T_i) represents the time required for the (i)-th subsystem to complete execution from receiving the linkage instruction;

[0153] The formula indicates that the response time of the entire linkage process is determined by the subsystem with the longest response time among all subsystems participating in the linkage;

[0154] Calculation of Linkage Success Rate

[0155] [S = \frac{\text{Number of Successful Linkages}}{\text{Total Number of Linkages}} \times 100\%]

[0156] Where:

[0157] (S) represents the linkage success rate;

[0158] The numerator represents the number of successful linkages, and the denominator represents the total number of linkages;

[0159] The formula is used to evaluate the effectiveness and stability of the multi-system linkage strategy of the power station, and calculates the success rate by statistically analyzing the ratio of the number of successful linkages to the total number of linkages;

[0160] Resource Optimization Allocation Index

[0161] I = \frac{\sum_{i = 1}^{n}(W_i \times U_i)}{\sum_{i = 1}^{n}W_i}

[0162] Where:

[0163] (I) represents the resource optimization allocation index, which is used to evaluate the utilization efficiency and allocation rationality of resources during the linkage process;

[0164] (W_i) represents the weight of the (i)-th subsystem during the linkage process, which can be set according to the importance and key factors of the subsystem;

[0165] (U_i) represents the resource utilization rate of the (i)-th subsystem during the linkage process;

[0166] The formula calculates the resource optimization allocation index through weighted summation, and the subsystem with a higher weight has a greater impact on the index;

[0167] These formulas provide some quantitative indicators and calculation methods during the multi-system linkage process of the power station, which helps to more accurately describe and evaluate the linkage effect, providing strong support for the intelligent management and optimization of the power station. It should be noted that these formulas are only for illustrative purposes and may need to be adjusted and optimized according to the specific situation and requirements of the power station in actual applications.

[0168] Fault Impact Range Assessment

[0169] A = sum_{i = 1}^{n}(S_i × P(F_i))

[0170] Where:

[0171] (A) represents the comprehensive evaluation value of the fault impact range;

[0172] (S_i) represents the importance or criticality score of the (i)-th subsystem in the overall operation of the power station;

[0173] (P(F_i)) represents the probability of the (i)-th subsystem having a fault;

[0174] The formula calculates the fault impact range through weighted summation, and the weights are jointly determined by the importance of the subsystem and the fault probability;

[0175] Linkage Strategy Priority Ranking

[0176] [R_j = frac{sum_{i = 1}^{m}(W_{ij} × C_{ij})}{sum_{i = 1}^{m}W_{ij}}]

[0177] Where:

[0178] (R_j) represents the priority of the (j)-th linkage strategy;

[0179] (W_{ij}) represents the influence weight of the (i)-th evaluation index on the (j)-th linkage strategy;

[0180] (C_{ij}) represents the evaluation score of the (i)-th evaluation index on the (j)-th linkage strategy;

[0181] (m) represents the number of indicators used to evaluate the linkage strategy;

[0182] The formula is used to rank the priorities of different linkage strategies so that the most effective linkage strategy can be quickly selected in case of faults or abnormal situations;

[0183] Linkage Efficiency Assessment

[0184] [E = \frac{\text{Actual linkage completion time}}{\text{Theoretical shortest linkage time}}]

[0185] Where:

[0186] (E) represents the linkage efficiency;

[0187] The numerator represents the time required to complete the actual linkage;

[0188] The denominator represents the shortest time that the linkage should be completed under ideal conditions;

[0189] The formula is used to evaluate the efficiency of the linkage process. When (E) is closer to 1, it indicates a higher linkage efficiency; System stability evaluation

[0190] [S_t = 1 - \frac{\text{Number of linkage failures}}{\text{Total number of linkages}} \times 100\%]

[0191] Where:

[0192] (S_t) represents the system stability;

[0193] The numerator represents the number of linkage failures within a certain period of time;

[0194] The denominator represents the total number of linkages during this period;

[0195] The formula evaluates the system stability by calculating the linkage failure rate. The higher the stability, the lower the linkage failure rate;

[0196] Linkage cost - benefit analysis

[0197] [CB = \frac{\text{Benefits brought by the linkage}}{\text{Total cost required for the linkage}}]

[0198] Where:

[0199] (CB) represents the linkage cost - benefit ratio;

[0200] The numerator represents the actual benefits brought by the linkage, which can be reduced fault losses, improved operating efficiency;

[0201] The denominator represents the total cost required to implement the linkage, including inputs in terms of manpower, material resources, and time;

[0202] The formula is used to analyze the economic benefits of the linkage, helping decision - makers determine whether the linkage strategy is worth implementing;

[0203] These formulas provide quantitative evaluation methods for different aspects in the process of multi - system linkage in power plants, helping to more comprehensively understand and optimize the linkage effect, and improve the operating efficiency and safety of power plants.

[0204] Working principle of the present invention: The core principle of the multi-system linkage method for power stations lies in integrating each independently operating system to form a unified and coordinated whole. These systems include, but are not limited to, the energy management system, the equipment monitoring system, and the safety protection system. Each system has its own functions and characteristics, but through the linkage method, they can communicate with each other, share data, and perform collaborative operations according to the real-time operating conditions of the power station. The linkage method is based on the standardization of data models, business models, and disposal plans to achieve seamless docking between systems. By adopting the same data description language, it ensures that different systems can accurately understand each other's information. The standardization of the business model enables each system to operate according to unified business rules. In addition, by formulating standardized disposal plans, the efficiency and accuracy of fault handling work are improved.

[0205] Working process of the present invention: System initialization and configuration: Before the power station starts, each system completes the initialization work and loads the necessary software and configuration parameters. According to the operating requirements and actual situation of the power station, the linkage strategies between systems are configured, including linkage trigger conditions and execution sequences.

[0206] Data collection and monitoring: The equipment monitoring system continuously collects the operating status and parameter information of various equipment in the power station. The safety protection system monitors the safety status of the power station, including potential risks of fire and gas leakage.

[0207] The energy management system focuses on the energy usage and supply-demand balance of the power station.

[0208] Linkage trigger and response: When a system detects an abnormal situation or meets the preset linkage trigger conditions, it sends a linkage request to other relevant systems. The systems receiving the linkage request will make corresponding responses according to the pre-configured linkage strategies. When the equipment monitoring system detects a fault in a certain device, it may trigger the energy management system to adjust the energy distribution and at the same time notify the safety protection system to strengthen the monitoring of that area.

[0209] Collaborative operation and optimization: During the linkage process, each system performs collaborative operations according to real-time data and operating conditions. The energy management system may adjust the energy output of the power station based on the data provided by the equipment monitoring system to meet the operating requirements of different devices. At the same time, each system will also perform self-optimization and adjustment according to the feedback information to improve the operating efficiency and stability of the entire power station.

[0210] Fault handling and recovery: If a fault or abnormal situation occurs during the linkage process, each system will make a quick response and handling according to the pre-developed disposal plan. Once the fault is properly handled, the system will automatically return to the normal operating state and continue to perform subsequent linkage operations.

[0211] The above embodiments are only used to illustrate the present invention and do not limit the technical solutions described in the present invention. Although the present specification has described the present invention in detail with reference to the above embodiments, the present invention is not limited to the above specific implementation manners. Therefore, any modification or substitution of the present invention; and all technical solutions and their improvements that do not depart from the spirit and scope of the invention are covered by the scope of the claims of the present invention.

Claims

1. A multi-system linkage method for a power station, characterized in that, The following steps are involved: S1. System initialization and data collection: S11. Start the intelligent integration platform to ensure that all business systems operate normally and are connected to the platform; S12. Collecting real-time data of various business systems through the intelligent integrated platform, including monitoring systems, ventilation systems, access control systems, fire protection systems, and industrial television systems. The real-time data includes equipment operation status, parameter information, and alarm signals; S2. Fault diagnosis and location: S21, the diagnostic analysis processing server performs diagnostic analysis on the operating status of the power plant production equipment based on the collected data from each business system; S22. Utilize the expert database for accident and fault diagnosis and analysis, analyze and compare data from multiple business systems, and determine whether there is equipment failure or accident; S23. If it is identified as equipment failure or accident, the specific location, type and severity of the failure or accident are determined; S3. Call the emergency response process: S31, the workflow processing server calls the corresponding emergency handling process from the linkage strategy knowledge base according to the diagnosis result; S32. Emergency handling process includes the triggering sequence, instructions and linkage strategies of each business system; S4. Realize system linkage: S41. The intelligent integrated platform issues instructions to relevant business systems through its interface according to the emergency response process; S42. Each business system performs corresponding operations according to the received instructions to achieve linkage disposal. In the fire linkage strategy, the platform calls the emergency disposal process to link the factory ventilation system to control the start and stop of the fan, the access control system to control the opening and closing of the channel, and the fire protection system to implement fire extinguishing. S5. Monitoring and feedback: S51. During the system linkage treatment process, the intelligent integrated platform continuously monitors the operating status and treatment effects of each business system; S52. When abnormal situations are found or the handling effect is poor, the platform promptly adjusts the emergency handling process or calls other strategies for intervention; S53. After the disposal is completed, the platform will summarize and analyze the disposal results and feedback information.

2. A power station multi-system linkage method according to claim 1, characterized in that S4. The system linkage is realized through the overall intelligent integrated platform, and the linked business systems are distributed in areas I, II, and III; The intelligent integrated platform opens up the data interfaces between various business systems. The linkage of various systems is centrally coordinated by the integrated platform. Business in the same zone is directly linked through the network, and business between zones I and II is linked through firewalls. Zones I, II and III unidirectionally mobilize business actions in zone III through isolation devices. The linkage of multiple systems in the power station is based on the intelligent integrated platform and is divided into an expert database for accident and fault diagnosis, analysis and processing, a diagnosis, analysis and processing server, a linkage strategy knowledge base and a workflow processing server.

3. A method for multi-system linkage of a power station according to claim 2, characterized in that, The diagnostic analysis and processing server performs diagnostic analysis on the operating status of the power plant's production equipment based on the data from various business systems collected by the intelligent integrated platform; when an equipment failure or accident is identified, the workflow processing server calls the corresponding emergency response process from the linkage strategy knowledge base, and sends it to each related business system through the intelligent integrated platform interface for process-based joint response.

4. A power station multi-system linkage method according to claim 3, characterized in that, The diagnostic analysis process calculates the probability of server failure: [P(F) = 1 - prod_{i = 1}^{n}(1 - P_i)] Where: (P(F)) represents the probability of a failure occurring in the entire power station system; (P_i) represents the probability of a failure occurring in the (i)-th subsystem; (n) represents the number of subsystems participating in the interlock.

5. A power station multi-system linkage method according to claim 4, characterized in that, The calculation of the interlock response time of the intelligent integrated platform is as follows: [T_{response} = max(T_1, T_2, \ldots, T_n)] Where: (T_{response}) represents the response time of the entire interlock process; (T_i) represents the time required for the (i)-th subsystem to complete execution from receiving the interlock command.

6. A power station multi-system linkage method according to claim 5, characterized in that The optimized allocation index of the workflow processing server resources is as follows: I = \frac{\sum_{i = 1}^{n}(W_i \times U_i)}{\sum_{i = 1}^{n}W_i} Where: (I) represents the resource optimized allocation index, which is used to evaluate the utilization efficiency and allocation rationality of resources during the interlock process; (W_i) represents the weight of the (i)-th subsystem during the interlock process, which is set according to the importance and critical factors of the subsystem; (U_i) represents the resource utilization rate of the (i)-th subsystem during the interlock process.

7. A power station multi-system linkage method according to claim 6, characterized in that, The formula for evaluating the impact range of faults in accident and fault diagnosis and analysis is as follows: A = \sum_{i = 1}^{n}(S_i \times P(F_i)) Where: (A) represents the comprehensive evaluation value of the fault impact range; (S_i) represents the importance or criticality score of the (i)-th subsystem in the overall operation of the power station; (P(F_i)) represents the probability of a failure occurring in the (i)-th subsystem.

8. A power station multi-system linkage method according to claim 7, characterized in that, The formula for ranking the priorities of the interlock strategies of the workflow processing server is as follows: [R_j = \frac{\sum_{i = 1}^{m}(W_{ij} \times C_{ij})}{\sum_{i = 1}^{m}W_{ij}}] Where: (R_j) represents the priority of the (j)-th interlock strategy; (W_{ij}) represents the influence weight of the (i)-th evaluation index on the (j)-th interlock strategy; (C_{ij}) represents the evaluation score of the (i)-th evaluation index on the (j)-th interlock strategy; (m) represents the number of indicators used to evaluate the interlock strategy.

9. A method for multi-system linkage of a power station according to claim 8, characterized in that, The evaluation of the interlock efficiency of the workflow processing server is as follows: [E = \frac{\text{Actual interlock completion time}}{\text{Theoretical shortest interlock time}}] Where: (E) represents the interlock efficiency; The numerator represents the time required for actual interlock completion.

10. A method for multi-system linkage of a power station according to claim 9, characterized in that, The formula for the system stability of the workflow processing server is: [S_t = 1 - \frac{\text{Number of interlock failures}}{\text{Total number of interlocks}} \times 100\%]; Where: (S_t) represents the system stability; The numerator represents the number of interlock failures within a certain period of time; The denominator represents the total number of interlocks during this time period.

Citation Information

Patent Citations

  • Multi-power-station linkage intelligent warehouse system

    CN111784235A