Operation and maintenance management method and system based on power plant equipment operation health assessment

Abstract

The invention provides an operation and maintenance management method and system based on power plant equipment operation health assessment, and the method comprises the steps: carrying out the health assessment of the operation state of corresponding to-be-assessed power plant equipment through an equipment operation assessment terminal at regular time, and obtaining health assessment parameters; operation evaluation parameters of a server of a current power plant equipment management control platform are obtained, the load state of the current server is judged through the operation evaluation parameters, and the load state comprises overload, normal load and excessive load; determining a data transmission strategy for transmitting the health assessment parameters to a power plant equipment management control platform according to the load state of the server; and sending the health assessment parameters to a power plant equipment management control platform through the selected data transmission strategy for operation and maintenance data management. The system comprises modules corresponding to the steps of the method.

Description

Technical Field

[0001] The present invention relates to the field of electric power technology, and in particular to an operation and maintenance management method and system based on power plant equipment operation health assessment. Background Art

[0002] As an important infrastructure for energy supply, the reliable operation of power plant equipment is crucial to the stability and sustainability of energy supply. However, as the equipment runs longer and the usage conditions change, the health of the equipment will gradually deteriorate, increasing the risk of equipment failure and downtime.

[0003] In order to ensure the reliable operation of power plant equipment, regular operation and maintenance management is required. Traditional operation and maintenance management methods mainly rely on experience judgment and regular maintenance, which have problems such as low efficiency and waste of resources. The operation and maintenance management method based on power plant equipment operation health assessment can monitor the operating status and performance indicators of the equipment, timely detect abnormal conditions and potential failures of the equipment, and take corresponding repair and maintenance measures to improve the availability and operation efficiency of the equipment. Summary of the invention

[0004] The present invention provides an operation and maintenance management method and system based on power plant equipment operation health assessment, which are used to solve the problems of low efficiency and waste of resources in traditional operation and maintenance management methods.

[0005] In order to achieve the above technical features, the object of the present invention is achieved as follows: an operation and maintenance management method based on power plant equipment operation health assessment, the operation and maintenance management method comprising: S1: Regularly perform health assessment on the operation status of the corresponding power plant equipment to be assessed through the equipment operation assessment terminal to obtain health assessment parameters; S2: obtaining operation evaluation parameters of the server of the current power plant equipment management and control platform, and determining the load state of the current server according to the operation evaluation parameters, wherein the load state includes overload, normal load and excess load; S3: determining a data transmission strategy for transmitting the health assessment parameters to the power plant equipment management and control platform according to the load status of the server; S4: Send the health assessment parameters to the power plant equipment management and control platform through the selected data transmission strategy for operation and maintenance data management.

[0006] Further, the operation evaluation parameters of the server of the current power plant equipment management and control platform are obtained, and the load state of the current server is determined by the operation evaluation parameters, wherein the load state includes overload, normal load and excess load, including: S21: extracting the running status parameters of the current server; S22: Obtaining an operation evaluation parameter of the server according to the operation status parameter of the server; wherein the operation evaluation parameter is obtained by the following formula: ; in, P represents the operation evaluation parameters of the server; P 0 indicates the preset baseline parameter constant; B y Indicates the bandwidth usage of the current server; B z Indicates the total bandwidth of the current server; C y Indicates the data processing volume of the current server per unit time; C d Indicates the rated data processing capacity per unit time of the server; n Indicates the number of frequency bands covered by server communication; G 01i Indicates i The total power of interference signals corresponding to the frequency band; G 02i Indicates i The total power of the server signal corresponding to each frequency band; S23: When the operation evaluation parameter exceeds the first preset parameter threshold, it is determined that the load state of the current server is overloaded; S24: when the operation evaluation parameter does not exceed the first preset parameter threshold, but exceeds the second preset parameter threshold, it is determined that the load state of the current server is normal; S25: When the operation evaluation parameter does not exceed the second preset parameter threshold, it is determined that the load state of the current server is overloaded.

[0007] Further, a data transmission strategy for transmitting the health assessment parameters to the power plant equipment management and control platform is determined according to the load status of the server, including: S31: When the load state of the server is in overload, a first data transmission strategy is adopted as a data transmission strategy for sending the health assessment parameter to the power plant equipment management and control platform; S32: When the load status of the server is in the state of normal load and overload, the second data transmission strategy is adopted as the data transmission strategy for sending the health assessment parameters to the power plant equipment management and control platform.

[0008] Furthermore, the first data transmission strategy is as follows: S311: extracting each health assessment parameter to be transmitted currently, wherein each health assessment parameter corresponds to a power plant device to be assessed; S312: integrating health assessment parameters corresponding to multiple power plant devices to be assessed of the same type into one parameter set to form multiple parameter sets, wherein each parameter set corresponds to one type of multiple power plant devices to be assessed; S313: Retrieving part of the transport capacity resources of the server as the first target resources through the cloud service terminal; S314: Retrieving part of the existing transport resources of the cloud service terminal as the second target resource; S315: Generate virtual servers using the first target resource and the second target resource, wherein the number of each virtual server corresponds to each parameter set one by one; S316: Using the virtual server corresponding to each parameter set as a data transmission server, sending the parameter set to the power plant equipment management and control platform; The second data transmission strategy is as follows: S321: Utilize the server of the power plant equipment management and control platform to send the parameter set to the power plant equipment management and control platform.

[0009] Furthermore, the resource allocation amount of the virtual server corresponding to each parameter set is obtained by the following formula: ; in, W 1 represents a parameter set of the virtual server corresponding to the first target resource; P represents the operation evaluation parameters of the server; P 02 represents a second preset parameter threshold; B 01 Indicates the remaining available bandwidth margin of the cloud service terminal; S 01 Indicates the remaining hardware storage space of the cloud service terminal; C d01 Indicates the rated data processing volume per unit time of the cloud service terminal; l 1 represents the first adjustment coefficient; C s The amount of data representing health assessment parameters; ; in, W 2 represents a parameter set of the virtual server corresponding to the second target resource; P represents the operation evaluation parameters of the server; P 02represents a second preset parameter threshold; B 02 Indicates the remaining available bandwidth margin of the server; S 01 Indicates the remaining hardware storage space of the server; C d02 Indicates the rated data processing capacity per unit time of the server; l 2 represents the second adjustment coefficient.

[0010] The present invention proposes an operation and maintenance management system based on power plant equipment operation health assessment, the operation and maintenance management system comprising: An evaluation module is used to periodically perform health evaluation on the operation status of the corresponding power plant equipment to be evaluated through the equipment operation evaluation terminal to obtain health evaluation parameters; An evaluation module, used to obtain operation evaluation parameters of the server of the current power plant equipment management and control platform, and determine the load state of the current server according to the operation evaluation parameters, wherein the load state includes overload, normal load and excess load; A strategy determination module, used to determine a data transmission strategy for transmitting health assessment parameters to a power plant equipment management and control platform according to a load state of the server; The data transmission module is used to send the health assessment parameters to the power plant equipment management and control platform for operation and maintenance data management through the selected data transmission strategy.

[0011] Furthermore, the evaluation module includes: An information extraction module is used to extract the operating status parameters of the current server; A parameter acquisition module is used to acquire the operation evaluation parameters of the server according to the operation status parameters of the server; wherein the operation evaluation parameters are acquired by the following formula: ; in, P represents the operation evaluation parameters of the server; P 0 indicates the preset baseline parameter constant; B y Indicates the bandwidth usage of the current server; B z Indicates the total bandwidth of the current server; C y Indicates the data processing volume of the current server per unit time; C d Indicates the rated data processing capacity per unit time of the server; n Indicates the number of frequency bands covered by server communication; G 01i Indicatesi The total power of interference signals corresponding to the frequency band; G 02i Indicates i The total power of the server signal corresponding to each frequency band; A first determination module, configured to determine that the load state of the current server is overloaded when the operation evaluation parameter exceeds a first preset parameter threshold; A second determination module is used to determine that the load state of the current server is normal when the operation evaluation parameter does not exceed the first preset parameter threshold, but exceeds the second preset parameter threshold; The third determination module is used to determine that the load state of the current server is overloaded when the operation evaluation parameter does not exceed the second preset parameter threshold.

[0012] Furthermore, the strategy determination module includes: A first strategy module, configured to use a first data transmission strategy as a data transmission strategy for sending the health assessment parameter to a power plant equipment management and control platform when the load state of the server is in an overload state; The second strategy module is used to adopt the second data transmission strategy as the data transmission strategy for sending the health assessment parameters to the power plant equipment management and control platform when the load status of the server is in normal load and overload.

[0013] Furthermore, the first data transmission strategy is as follows: Extracting each health assessment parameter to be transmitted, wherein each health assessment parameter corresponds to a power plant device to be assessed; Integrate the health assessment parameters corresponding to the multiple power plant equipment to be assessed of the same type into one parameter set to form multiple parameter sets, wherein each parameter set corresponds to one type of multiple power plant equipment to be assessed; Retrieve part of the server's transport capacity resources as the first target resource through the cloud service terminal; Retrieving part of the existing transport resources of the cloud service terminal as the second target resource; Generate virtual servers using the first target resource and the second target resource, wherein the number of each virtual server corresponds to each parameter set one by one; Using the virtual server corresponding to each parameter set as a data transmission server, the parameter set is sent to the power plant equipment management and control platform; The second data transmission strategy is as follows: The parameter set is sent to the power plant equipment management and control platform by using the server of the power plant equipment management and control platform.

[0014] Furthermore, the resource allocation amount of the virtual server corresponding to each parameter set is obtained by the following formula: ; in, W 1 represents a parameter set of the virtual server corresponding to the first target resource; P represents the operation evaluation parameters of the server; P 02 represents a second preset parameter threshold; B 01 Indicates the remaining available bandwidth margin of the cloud service terminal; S 01 Indicates the remaining hardware storage space of the cloud service terminal; C d01 Indicates the rated data processing volume per unit time of the cloud service terminal; l 1 represents the first adjustment coefficient; C s The amount of data representing health assessment parameters; ; in, W 2 represents a parameter set of the virtual server corresponding to the second target resource; P represents the operation evaluation parameters of the server; P 02 represents a second preset parameter threshold; B 02 Indicates the remaining available bandwidth margin of the server; S 01 Indicates the remaining hardware storage space of the server; C d02 Indicates the rated data processing capacity per unit time of the server; l 2 represents the second adjustment coefficient.

[0015] Beneficial effects of the present invention: 1. The present invention can detect potential faults and problems early by performing regular health assessments on power plant equipment, and take corresponding repair and maintenance measures, thereby reducing the failure rate of equipment and improving the reliability and availability of equipment.

[0016] 2. The operation and maintenance management method and system adopted by the present invention can realize online monitoring and predictive maintenance of equipment, avoid downtime and losses caused by sudden failures, reduce the frequency of repair and replacement of equipment, and thus reduce operation and maintenance costs.

[0017] 3. Through the health assessment of the equipment, the present invention can discover the safety risks and hidden dangers of the equipment in advance, take corresponding measures to repair and improve it, thereby improving the safety performance of the power plant and reducing the occurrence of accidents and unexpected events.

[0018] 4. Based on the operational health assessment results of the equipment, the present invention can formulate a more scientific and reasonable maintenance plan, including the time nodes and methods for maintaining and replacing equipment, so as to minimize the interference with the normal operation of the power plant and increase the life of the equipment.

[0019] 5. The present invention can timely discover the energy waste and inefficiency problems of equipment through health assessment and performance monitoring of equipment, and take corresponding measures to optimize and improve them, thereby improving the energy utilization efficiency and economy of the power plant.

[0020] 6. The operation and maintenance management method and system of the present invention can collect and analyze the operation data of the equipment in real time, provide visual reports and analysis results, and provide data support for operation and maintenance management personnel, helping them to make more accurate and wise decisions and improve management level and effect. BRIEF DESCRIPTION OF THE DRAWINGS

[0021] The present invention will be further described below in conjunction with the accompanying drawings and embodiments.

[0022] Figure 1 This is a step diagram of an operation and maintenance management method based on power plant equipment operation health assessment described in the present invention.

[0023] Figure 2 This is a module diagram of an operation and maintenance management system based on power plant equipment operation health assessment as described in the present invention. DETAILED DESCRIPTION

[0024] The embodiments of the present invention are further described below in conjunction with the accompanying drawings.

[0025] The preferred embodiments of the present invention are described below in conjunction with the accompanying drawings. It should be understood that the preferred embodiments described herein are only used to illustrate and explain the present invention, and are not used to limit the present invention.

[0026] Embodiment 1: This embodiment provides an operation and maintenance management method based on power plant equipment operation health assessment, the operation and maintenance management method comprising: S1: Regularly perform health assessment on the operation status of the corresponding power plant equipment to be assessed through the equipment operation assessment terminal to obtain health assessment parameters; S2: obtaining operation evaluation parameters of the server of the current power plant equipment management and control platform, and determining the load state of the current server according to the operation evaluation parameters, wherein the load state includes overload, normal load and excess load; S3: determining a data transmission strategy for transmitting the health assessment parameters to the power plant equipment management and control platform according to the load status of the server; S4: Send the health assessment parameters to the power plant equipment management and control platform through the selected data transmission strategy for operation and maintenance data management.

[0027] The working principle of the above technical solution is: the equipment operation evaluation terminal is used to conduct regular operation status evaluation of the power plant equipment to be evaluated, and obtain health evaluation parameters. The evaluation can use various sensors, monitoring devices and algorithms to collect real-time data of the equipment, and analyze and evaluate the operation status of the equipment; obtain the current operation evaluation parameters from the server of the power plant equipment management and control platform. These parameters may include the load status of the server, such as CPU usage, memory occupancy, network traffic and other indicators, which are used to judge the load status of the server; according to the obtained operation evaluation parameters, the load status of the server is determined, including overload, normal load and excess load. In this way, the working status of the server can be understood, which is helpful for formulating transmission strategies; according to the load status of the server, the data transmission strategy for transmitting the health evaluation parameters to the power plant equipment management and control platform is determined. For example, when the load is too heavy, you can choose to reduce the data transmission amount or delay the transmission; when the load is normal or the load is excessive, you can choose normal transmission frequency or timely transmission; according to the selected data transmission strategy, the obtained health assessment parameters are sent to the power plant equipment management and control platform for operation and maintenance data management. The transmission can be achieved through network connection, API interface and other means.

[0028] The effect of the above technical solution is: by regularly evaluating the power plant equipment through the equipment operation evaluation terminal, real-time health evaluation parameters can be obtained. This helps to timely discover potential faults or abnormal conditions of the equipment, take maintenance or preventive measures in advance, reduce the equipment failure rate, and improve equipment reliability and safety; by obtaining the operation evaluation parameters of the server, and judging the load status of the server based on these parameters, including overload, normal load and excess load. In this way, the working status of the server can be monitored and managed in real time to avoid performance degradation caused by overload or resource waste caused by excess load; according to the load status of the server, determine the data transmission strategy for transmitting the health evaluation parameters to the equipment management and control platform. By optimizing the transmission strategy, the occupation of server resources can be reduced, performance problems caused by overload can be avoided, and the timely transmission of evaluation parameters can be ensured to support operation and maintenance data management and decision-making; through the selected data transmission strategy, the health evaluation parameters are sent to the equipment management and control platform for operation and maintenance data management. This helps to comprehensively analyze and monitor the status of power plant equipment, provide detailed information on the health status and performance of the equipment, support operation and maintenance decisions and optimize operation and maintenance strategies.

[0029] Embodiment 2: The present embodiment provides obtaining operation evaluation parameters of a server of the current power plant equipment management and control platform, and determining the load state of the current server by using the operation evaluation parameters, wherein the load state includes overload, normal load and excess load, including: S21: extracting the running status parameters of the current server; S22: Obtaining an operation evaluation parameter of the server according to the operation status parameter of the server; wherein the operation evaluation parameter is obtained by the following formula: ; in, P represents the operation evaluation parameters of the server; P 0 indicates the preset baseline parameter constant; B y Indicates the bandwidth usage of the current server; B z Indicates the total bandwidth of the current server; C y Indicates the data processing volume of the current server per unit time; C d Indicates the rated data processing capacity per unit time of the server; n Indicates the number of frequency bands covered by server communication; G 01i Indicates i The total power of interference signals corresponding to the frequency band; G 02i Indicates i The total power of the server signal corresponding to each frequency band; S23: When the operation evaluation parameter exceeds the first preset parameter threshold, it is determined that the load state of the current server is overloaded; S24: when the operation evaluation parameter does not exceed the first preset parameter threshold, but exceeds the second preset parameter threshold, it is determined that the load state of the current server is normal; S25: When the operation evaluation parameter does not exceed the second preset parameter threshold, it is determined that the load state of the current server is overloaded.

[0030] The working principle of the above technical solution is: by monitoring various indicators and performance parameters of the server, such as CPU usage, memory occupancy, disk space utilization, etc., the operating status parameters of the current server can be obtained. These parameters reflect the load and resource utilization of the server; according to the extracted operating status parameters, data processing and analysis are performed to obtain corresponding operating evaluation parameters. These evaluation parameters can be used to judge the working status and load of the server. Common operating evaluation parameters include average load, response time, number of concurrent connections, etc.; the load status of the server is determined by comparing the obtained operating evaluation parameters with the preset parameter threshold. If the operating evaluation parameter exceeds the first preset parameter threshold, it indicates that the server is overloaded; if it does not exceed the first preset parameter threshold but exceeds the second preset parameter threshold, it indicates that the server load is normal; if it does not exceed the second preset parameter threshold, it indicates that the server is overloaded.

[0031] The effect of the above technical solution is: extracting the operating status parameters of the current server can understand the load and resource utilization of the server in real time. By monitoring key indicators, the operating status of the server can be quickly grasped, and corresponding measures can be taken in time to avoid the occurrence of potential performance problems; through the operating status parameters, the operating evaluation parameters, such as average load, response time, etc., are further calculated. These evaluation parameters intuitively reflect the load of the server and can comprehensively evaluate the operating performance and working status of the server; according to the comparison between the preset parameter threshold and the operating evaluation parameters, the load status of the server can be clearly determined, such as excess, normal, and overload. Such a judgment helps to timely identify servers with abnormal loads, make corresponding adjustments and optimizations, so as to maintain the efficient and stable operation of the server; by evaluating the load status of the server, load balancing, resource optimization and other strategies can be targeted. Timely adjust the resource allocation of the server to adapt it to the work requirements under different load states, thereby improving the performance and resource utilization of the server; by monitoring and determining the load status of the server, timely measures can be taken when the load is excessive or overloaded to avoid server failures and performance problems caused by overload. This will improve the stability and reliability of the system and reduce the risk of downtime and impaired user experience. At the same time, through the calculation of the above formula, the operating status parameters of the server can be converted into specific operating evaluation parameters, so that the performance and load status of the server can be quantitatively evaluated. In this way, the working status of the server can be understood more intuitively, which is convenient for managers to make decisions and adjustments; the calculation of the operating evaluation parameters involves multiple indicators, such as bandwidth occupancy, data processing volume, interference signal power, etc. By comprehensively considering these indicators, the working status of the server can be more comprehensively evaluated. This helps managers obtain more comprehensive information and thus more accurately judge the load status of the server; the parameters in the formula can be set and adjusted according to specific scenarios, including benchmark parameter constants, total bandwidth, rated data processing volume, etc. In this way, according to specific needs and actual conditions, the server evaluation and load status judgment in different environments can be flexibly adapted; through the calculation of the operating evaluation parameters, managers can quickly understand the load status of the server and judge whether resource adjustment, optimization or other measures are needed. In this way, the efficiency of decision-making can be improved, and measures can be taken in time to ensure the efficient and stable operation of the server; according to the results of the operating evaluation parameters, the bottlenecks and deficiencies of the server can be found. Through targeted adjustment and optimization, the performance of the server can be improved, resource waste can be reduced, and better work results can be achieved.

[0032] Embodiment 3: The data transmission strategy provided in this embodiment for determining, according to the load state of the server, to transmit the health assessment parameters to the power plant equipment management and control platform includes: S31: When the load state of the server is in overload, a first data transmission strategy is adopted as a data transmission strategy for sending the health assessment parameter to the power plant equipment management and control platform; S32: When the load status of the server is in the state of normal load and overload, the second data transmission strategy is adopted as the data transmission strategy for sending the health assessment parameters to the power plant equipment management and control platform.

[0033] The working principle of the above technical solution is: according to the load status of the server, different data transmission strategies are selected to send the health assessment parameters to the power plant equipment management and control platform. When the load is too heavy, the first data transmission strategy is adopted; when the load is normal and the load is excessive, the second data transmission strategy is adopted; the load status of the server can be judged through the aforementioned operation evaluation parameter calculation and the set threshold. When the load is too heavy, it means that the load of the server exceeds the preset threshold and measures need to be taken to solve the load problem; when the load is normal and the load is excessive, it means that the load of the server is within an acceptable range and no special treatment is required; when the server load is in an overload state, the first data transmission strategy can be selected. When the server load is in a normal or excessive state, the second data transmission strategy can be selected.

[0034] The effect of the above technical solution is: by selecting different data transmission strategies according to the load status of the server, the optimal utilization of resources can be achieved. When the server is overloaded, the first data transmission strategy is adopted, and the key health assessment parameters can be quickly transmitted through a high priority channel or an independent dedicated channel, reducing transmission delays and reducing the impact on server performance. When the server load is normal and excessive, the second data transmission strategy is adopted, and more common data channels or network connections can be used for transmission, reducing resource consumption and improving the efficiency of the overall system; by selecting a suitable data transmission strategy, the real-time and accuracy of the health assessment parameters can be ensured. When the load is overloaded, the first data transmission strategy can be adopted to enable the key health assessment parameters to be quickly transmitted to the power plant equipment management and control platform, so that the management personnel can understand the load status of the server in a timely manner and take corresponding adjustment measures in a timely manner. When the load is normal and excessive, the second data transmission strategy can ensure the accurate transmission of parameters, provide reliable data support for management personnel, and support the formulation of decision-making and control strategies; by reasonably selecting the data transmission strategy, the efficiency of the overall system can be improved. When the load is overloaded, the rapid transmission of health assessment parameters can help administrators deal with load problems in a timely manner, reduce the occurrence of system failures, and improve the performance stability of the server. When the load is normal or excessive, using more common transmission methods can reduce resource consumption, reduce the burden on the system, and enable the server to better cope with changing workloads.

[0035] Embodiment 4: The first data transmission strategy provided in this embodiment is as follows: S311: extracting each health assessment parameter to be transmitted currently, wherein each health assessment parameter corresponds to a power plant device to be assessed; S312: integrating health assessment parameters corresponding to multiple power plant devices to be assessed of the same type into one parameter set to form multiple parameter sets, wherein each parameter set corresponds to one type of multiple power plant devices to be assessed; S313: Retrieving part of the transport capacity resources of the server as the first target resources through the cloud service terminal; S314: Retrieving part of the existing transport resources of the cloud service terminal as the second target resource; S315: Generate virtual servers using the first target resource and the second target resource, wherein the number of each virtual server corresponds to each parameter set one by one; S316: Using the virtual server corresponding to each parameter set as a data transmission server, sending the parameter set to the power plant equipment management and control platform; The second data transmission strategy is as follows: S321: Utilize the server of the power plant equipment management and control platform to send the parameter set to the power plant equipment management and control platform.

[0036] Furthermore, the resource allocation amount of the virtual server corresponding to each parameter set is obtained by the following formula: ; in, W 1 represents a parameter set of the virtual server corresponding to the first target resource; P represents the operation evaluation parameters of the server; P 02 represents a second preset parameter threshold; B 01 Indicates the remaining available bandwidth margin of the cloud service terminal; S 01 Indicates the remaining hardware storage space of the cloud service terminal; C d01 Indicates the rated data processing volume per unit time of the cloud service terminal; l 1 represents the first adjustment coefficient; C s The amount of data representing health assessment parameters; ; in, W 2 represents a parameter set of the virtual server corresponding to the second target resource; P represents the operation evaluation parameters of the server;P 02 represents a second preset parameter threshold; B 02 Indicates the remaining available bandwidth margin of the server; S 01 Indicates the remaining hardware storage space of the server; C d02 Indicates the rated data processing capacity per unit time of the server; l 2 represents the second adjustment coefficient.

[0037] The working principle of the above technical solution is as follows: for each power plant equipment to be evaluated, the corresponding health assessment parameters are extracted from it; the health assessment parameters of multiple power plant equipment to be evaluated of the same type are integrated into a parameter set to form multiple parameter sets, wherein each parameter set corresponds to multiple power plant equipment to be evaluated of one type; part of the capacity resources of the server are retrieved as the first target resources through the cloud service terminal, and the existing capacity resources of the cloud service terminal are retrieved as the second target resources; a virtual server is generated using the first target resources and the second target resources. The number of virtual servers corresponds to the parameter set one by one, and each virtual server is used to process a parameter set; the virtual server corresponding to each parameter set is used as a data transmission server to send the parameter set to the power plant equipment management and control platform; the parameter set is sent to the power plant equipment management and control platform using the server of the power plant equipment management and control platform.

[0038] The effects of the above technical solution are: by integrating the health assessment parameters of the power plant equipment to be evaluated of the same type into a parameter set, batch processing of the same type of equipment can be achieved, thereby improving work efficiency; by using the capacity resources of the cloud service terminal to generate a virtual server, resources can be flexibly allocated according to the number of parameter sets, thereby avoiding resource waste and improving processing speed and concurrency; by using the virtual server corresponding to each parameter set as a data transmission server, multiple transmission tasks can be performed simultaneously, thereby speeding up transmission speed, reducing latency, and improving data transmission efficiency; the parameter set is sent to the power plant equipment management and control platform through the server of the power plant equipment management and control platform to ensure the secure transmission and accuracy of data; this technical solution can effectively manage large-scale power plant equipment and related parameters, and provides a centralized control and monitoring method, which is convenient for managers to conduct comprehensive evaluation, decision-making and optimization operations.

[0039] Embodiment 5: The resource allocation amount of the virtual server corresponding to each parameter set provided in this embodiment is obtained by the following formula: ; in, W1 represents a parameter set of the virtual server corresponding to the first target resource; P represents the operation evaluation parameters of the server; P 02 represents a second preset parameter threshold; B 01 Indicates the remaining available bandwidth margin of the cloud service terminal; S 01 Indicates the remaining hardware storage space of the cloud service terminal; C d01 Indicates the rated data processing volume per unit time of the cloud service terminal; l 1 represents the first adjustment coefficient; C s The amount of data representing health assessment parameters; ; in, W 2 represents a parameter set of the virtual server corresponding to the second target resource; P represents the operation evaluation parameters of the server; P 02 represents a second preset parameter threshold; B 02 Indicates the remaining available bandwidth margin of the server; S 01 Indicates the remaining hardware storage space of the server; C d02 Indicates the rated data processing capacity per unit time of the server; l 2 represents the second adjustment coefficient.

[0040] The effect of the above formula is: the above formula allows for resource allocation of virtual servers according to different sets of parameters. This means that resources can be dynamically allocated according to specific needs and situations to meet the requirements of different tasks. This flexibility and adaptability can improve the performance and efficiency of the system; the formula takes into account multiple key factors, such as the remaining available bandwidth margin, the remaining hardware storage space, and the rated data processing volume per unit time. By comprehensively considering these factors, it is possible to maximize the use of existing resources, avoid resource waste, and improve resource utilization; by dynamically adjusting the amount of resource allocation, the formula can enable the system to better adapt to different load conditions. When demand increases, the system can automatically increase the amount of resource allocation to meet demand; when demand decreases, the system can reduce the amount of resource allocation accordingly, thereby improving the system's response speed and efficiency; the adjustment coefficient in the formula ( and ) allow for fine-grained control over resource allocation. By properly adjusting these parameters, you can balance different resource requirements and ensure that the system runs stably without overload or resource starvation.

[0041] Embodiment 6: This embodiment provides an operation and maintenance management system based on power plant equipment operation health assessment. The operation and maintenance management system includes: An evaluation module is used to periodically perform health evaluation on the operation status of the corresponding power plant equipment to be evaluated through the equipment operation evaluation terminal to obtain health evaluation parameters; An evaluation module, used to obtain operation evaluation parameters of the server of the current power plant equipment management and control platform, and determine the load state of the current server according to the operation evaluation parameters, wherein the load state includes overload, normal load and excess load; A strategy determination module, used to determine a data transmission strategy for transmitting health assessment parameters to a power plant equipment management and control platform according to a load state of the server; The data transmission module is used to send the health assessment parameters to the power plant equipment management and control platform for operation and maintenance data management through the selected data transmission strategy.

[0042] The working principle of the above technical solution is: the equipment operation evaluation terminal is used to conduct regular operation status evaluation of the power plant equipment to be evaluated, and obtain health evaluation parameters. The evaluation can use various sensors, monitoring devices and algorithms to collect real-time data of the equipment, and analyze and evaluate the operation status of the equipment; obtain the current operation evaluation parameters from the server of the power plant equipment management and control platform. These parameters may include the load status of the server, such as CPU usage, memory occupancy, network traffic and other indicators, which are used to judge the load status of the server; according to the obtained operation evaluation parameters, the load status of the server is determined, including overload, normal load and excess load. In this way, the working status of the server can be understood, which is helpful for formulating transmission strategies; according to the load status of the server, the data transmission strategy for transmitting the health evaluation parameters to the power plant equipment management and control platform is determined. For example, when the load is too heavy, you can choose to reduce the data transmission amount or delay the transmission; when the load is normal or the load is excessive, you can choose normal transmission frequency or timely transmission; according to the selected data transmission strategy, the obtained health assessment parameters are sent to the power plant equipment management and control platform for operation and maintenance data management. The transmission can be achieved through network connection, API interface and other means.

[0043] The effect of the above technical solution is: by regularly evaluating the power plant equipment through the equipment operation evaluation terminal, real-time health evaluation parameters can be obtained. This helps to timely discover potential faults or abnormal conditions of the equipment, take maintenance or preventive measures in advance, reduce the equipment failure rate, and improve equipment reliability and safety; by obtaining the operation evaluation parameters of the server, and judging the load status of the server based on these parameters, including overload, normal load and excess load. In this way, the working status of the server can be monitored and managed in real time to avoid performance degradation caused by overload or resource waste caused by excess load; according to the load status of the server, determine the data transmission strategy for transmitting the health evaluation parameters to the equipment management and control platform. By optimizing the transmission strategy, the occupation of server resources can be reduced, performance problems caused by overload can be avoided, and the timely transmission of evaluation parameters can be ensured to support operation and maintenance data management and decision-making; through the selected data transmission strategy, the health evaluation parameters are sent to the equipment management and control platform for operation and maintenance data management. This helps to comprehensively analyze and monitor the status of power plant equipment, provide detailed information on the health status and performance of the equipment, support operation and maintenance decisions and optimize operation and maintenance strategies.

[0044] Embodiment 7: The evaluation module provided in this embodiment includes: An information extraction module is used to extract the operating status parameters of the current server; A parameter acquisition module is used to acquire the operation evaluation parameters of the server according to the operation status parameters of the server; wherein the operation evaluation parameters are acquired by the following formula: ; in, P represents the operation evaluation parameters of the server; P 0 indicates the preset baseline parameter constant; B y Indicates the bandwidth usage of the current server; B z Indicates the total bandwidth of the current server; C y Indicates the data processing volume of the current server per unit time; C d Indicates the rated data processing capacity per unit time of the server; n Indicates the number of frequency bands covered by server communication; G 01i Indicates i The total power of interference signals corresponding to the frequency band; G 02i Indicates i The total power of the server signal corresponding to each frequency band; A first determination module, configured to determine that the load state of the current server is overloaded when the operation evaluation parameter exceeds a first preset parameter threshold; A second determination module is used to determine that the load state of the current server is normal when the operation evaluation parameter does not exceed the first preset parameter threshold, but exceeds the second preset parameter threshold; The third determination module is used to determine that the load state of the current server is overloaded when the operation evaluation parameter does not exceed the second preset parameter threshold.

[0045] The working principle of the above technical solution is: by monitoring various indicators and performance parameters of the server, such as CPU usage, memory occupancy, disk space utilization, etc., the operating status parameters of the current server can be obtained. These parameters reflect the load and resource utilization of the server; according to the extracted operating status parameters, data processing and analysis are performed to obtain corresponding operating evaluation parameters. These evaluation parameters can be used to judge the working status and load of the server. Common operating evaluation parameters include average load, response time, number of concurrent connections, etc.; the load status of the server is determined by comparing the obtained operating evaluation parameters with the preset parameter threshold. If the operating evaluation parameter exceeds the first preset parameter threshold, it indicates that the server is overloaded; if it does not exceed the first preset parameter threshold but exceeds the second preset parameter threshold, it indicates that the server load is normal; if it does not exceed the second preset parameter threshold, it indicates that the server is overloaded.

[0046] The effect of the above technical solution is: extracting the operating status parameters of the current server can understand the load and resource utilization of the server in real time. By monitoring key indicators, the operating status of the server can be quickly grasped, and corresponding measures can be taken in time to avoid the occurrence of potential performance problems; through the operating status parameters, the operating evaluation parameters, such as average load, response time, etc., are further calculated. These evaluation parameters intuitively reflect the load of the server and can comprehensively evaluate the operating performance and working status of the server; according to the comparison between the preset parameter threshold and the operating evaluation parameters, the load status of the server can be clearly determined, such as excess, normal, and overload. Such a judgment helps to timely identify servers with abnormal loads, make corresponding adjustments and optimizations, so as to maintain the efficient and stable operation of the server; by evaluating the load status of the server, load balancing, resource optimization and other strategies can be targeted. Timely adjust the resource allocation of the server to adapt it to the work requirements under different load states, thereby improving the performance and resource utilization of the server; by monitoring and determining the load status of the server, timely measures can be taken when the load is excessive or overloaded to avoid server failures and performance problems caused by overload. This will improve the stability and reliability of the system and reduce the risk of downtime and impaired user experience. At the same time, through the calculation of the above formula, the operating status parameters of the server can be converted into specific operating evaluation parameters, so that the performance and load status of the server can be quantitatively evaluated. In this way, the working status of the server can be understood more intuitively, which is convenient for managers to make decisions and adjustments; the calculation of the operating evaluation parameters involves multiple indicators, such as bandwidth occupancy, data processing volume, interference signal power, etc. By comprehensively considering these indicators, the working status of the server can be more comprehensively evaluated. This helps managers obtain more comprehensive information and thus more accurately judge the load status of the server; the parameters in the formula can be set and adjusted according to specific scenarios, including benchmark parameter constants, total bandwidth, rated data processing volume, etc. In this way, according to specific needs and actual conditions, the server evaluation and load status judgment in different environments can be flexibly adapted; through the calculation of the operating evaluation parameters, managers can quickly understand the load status of the server and judge whether resource adjustment, optimization or other measures are needed. In this way, the efficiency of decision-making can be improved, and measures can be taken in time to ensure the efficient and stable operation of the server; according to the results of the operating evaluation parameters, the bottlenecks and deficiencies of the server can be found. Through targeted adjustment and optimization, the performance of the server can be improved, resource waste can be reduced, and better work results can be achieved.

[0047] Embodiment 8: The strategy determination module provided in this embodiment includes: A first strategy module, configured to use a first data transmission strategy as a data transmission strategy for sending the health assessment parameter to a power plant equipment management and control platform when the load state of the server is in an overload state; The second strategy module is used to adopt the second data transmission strategy as the data transmission strategy for sending the health assessment parameters to the power plant equipment management and control platform when the load status of the server is in normal load and overload.

[0048] The working principle of the above technical solution is: according to the load status of the server, different data transmission strategies are selected to send the health assessment parameters to the power plant equipment management and control platform. When the load is too heavy, the first data transmission strategy is adopted; when the load is normal and the load is excessive, the second data transmission strategy is adopted; the load status of the server can be judged through the aforementioned operation evaluation parameter calculation and the set threshold. When the load is too heavy, it means that the load of the server exceeds the preset threshold and measures need to be taken to solve the load problem; when the load is normal and the load is excessive, it means that the load of the server is within an acceptable range and no special treatment is required; when the server load is in an overload state, the first data transmission strategy can be selected. When the server load is in a normal or excessive state, the second data transmission strategy can be selected.

[0049] The effect of the above technical solution is: by selecting different data transmission strategies according to the load status of the server, the optimal utilization of resources can be achieved. When the server is overloaded, the first data transmission strategy is adopted, and the key health assessment parameters can be quickly transmitted through a high priority channel or an independent dedicated channel, reducing transmission delays and reducing the impact on server performance. When the server load is normal and excessive, the second data transmission strategy is adopted, and more common data channels or network connections can be used for transmission, reducing resource consumption and improving the efficiency of the overall system; by selecting a suitable data transmission strategy, the real-time and accuracy of the health assessment parameters can be ensured. When the load is overloaded, the first data transmission strategy can be adopted to enable the key health assessment parameters to be quickly transmitted to the power plant equipment management and control platform, so that the management personnel can understand the load status of the server in a timely manner and take corresponding adjustment measures in a timely manner. When the load is normal and excessive, the second data transmission strategy can ensure the accurate transmission of parameters, provide reliable data support for management personnel, and support the formulation of decision-making and control strategies; by reasonably selecting the data transmission strategy, the efficiency of the overall system can be improved. When the load is overloaded, the rapid transmission of health assessment parameters can help administrators deal with load problems in a timely manner, reduce the occurrence of system failures, and improve the performance stability of the server. When the load is normal or excessive, using more common transmission methods can reduce resource consumption, reduce the burden on the system, and enable the server to better cope with changing workloads.

[0050] Embodiment 9: The first data transmission strategy provided in this embodiment is as follows: Extracting each health assessment parameter to be transmitted, wherein each health assessment parameter corresponds to a power plant device to be assessed; Integrate the health assessment parameters corresponding to the multiple power plant equipment to be assessed of the same type into one parameter set to form multiple parameter sets, wherein each parameter set corresponds to one type of multiple power plant equipment to be assessed; Retrieve part of the server's transport capacity resources as the first target resource through the cloud service terminal; Retrieving part of the existing transport resources of the cloud service terminal as the second target resource; Generate virtual servers using the first target resource and the second target resource, wherein the number of each virtual server corresponds to each parameter set one by one; Using the virtual server corresponding to each parameter set as a data transmission server, the parameter set is sent to the power plant equipment management and control platform; The second data transmission strategy is as follows: The parameter set is sent to the power plant equipment management and control platform by using the server of the power plant equipment management and control platform.

[0051] The working principle of the above technical solution is as follows: for each power plant equipment to be evaluated, the corresponding health assessment parameters are extracted from it; the health assessment parameters of multiple power plant equipment to be evaluated of the same type are integrated into a parameter set to form multiple parameter sets, wherein each parameter set corresponds to multiple power plant equipment to be evaluated of one type; part of the capacity resources of the server are retrieved as the first target resources through the cloud service terminal, and the existing capacity resources of the cloud service terminal are retrieved as the second target resources; a virtual server is generated using the first target resources and the second target resources. The number of virtual servers corresponds to the parameter set one by one, and each virtual server is used to process a parameter set; the virtual server corresponding to each parameter set is used as a data transmission server to send the parameter set to the power plant equipment management and control platform; the parameter set is sent to the power plant equipment management and control platform using the server of the power plant equipment management and control platform.

[0052] The effects of the above technical solution are: by integrating the health assessment parameters of the power plant equipment to be evaluated of the same type into a parameter set, batch processing of the same type of equipment can be achieved, thereby improving work efficiency; by using the capacity resources of the cloud service terminal to generate a virtual server, resources can be flexibly allocated according to the number of parameter sets, thus avoiding resource waste and improving processing speed and concurrency; by using the virtual server corresponding to each parameter set as a data transmission server, multiple transmission tasks can be performed simultaneously, thus speeding up the transmission speed, reducing latency, and improving data transmission efficiency; the parameter set is sent to the power plant equipment management and control platform through the server of the power plant equipment management and control platform to ensure the secure transmission and accuracy of the data; this technical solution can effectively manage large-scale power plant equipment and related parameters, and provides a centralized control and monitoring method, which is convenient for managers to conduct comprehensive evaluation, decision-making and optimization operations.

[0053] Embodiment 10: The resource allocation amount of the virtual server corresponding to each parameter set provided in this embodiment is obtained by the following formula: ; in, W 1 represents a parameter set of the virtual server corresponding to the first target resource; P represents the operation evaluation parameters of the server; P 02 represents a second preset parameter threshold; B 01 Indicates the remaining available bandwidth margin of the cloud service terminal; S 01 Indicates the remaining hardware storage space of the cloud service terminal; C d01 Indicates the rated data processing volume per unit time of the cloud service terminal; l 1 represents the first adjustment coefficient; C s The amount of data representing health assessment parameters; ; in, W 2 represents a parameter set of the virtual server corresponding to the second target resource; P represents the operation evaluation parameters of the server; P 02 represents a second preset parameter threshold; B 02 Indicates the remaining available bandwidth margin of the server; S 01 Indicates the remaining hardware storage space of the server; C d02 Indicates the rated data processing capacity per unit time of the server; l 2 represents the second adjustment coefficient.

[0054] The effect of the above formula is: the above formula allows for resource allocation of virtual servers according to different sets of parameters. This means that resources can be dynamically allocated according to specific needs and situations to meet the requirements of different tasks. This flexibility and adaptability can improve the performance and efficiency of the system; the formula takes into account multiple key factors, such as the remaining available bandwidth margin, the remaining hardware storage space, and the rated data processing volume per unit time. By comprehensively considering these factors, it is possible to maximize the use of existing resources, avoid resource waste, and improve resource utilization; by dynamically adjusting the amount of resource allocation, the formula can enable the system to better adapt to different load conditions. When demand increases, the system can automatically increase the amount of resource allocation to meet demand; when demand decreases, the system can reduce the amount of resource allocation accordingly, thereby improving the system's response speed and efficiency; the adjustment coefficient in the formula ( and ) allow for fine-grained control over resource allocation. By properly adjusting these parameters, you can balance different resource requirements and ensure that the system runs stably without overload or resource starvation.

[0055] Obviously, those skilled in the art can make various changes and modifications to the present invention without departing from the spirit and scope of the present invention. Thus, if these modifications and variations of the present invention fall within the scope of the claims of the present invention and their equivalents, the present invention is also intended to include these modifications and variations.

Claims

1. An operation and maintenance management method based on power plant equipment operation health assessment, characterized in that: The operation and maintenance management method comprises: Regularly conduct health assessment on the operation status of the corresponding power plant equipment to be assessed through the equipment operation assessment terminal to obtain health assessment parameters; Acquire the operation evaluation parameters of the server of the current power plant equipment management and control platform, and determine the load state of the current server according to the operation evaluation parameters, wherein the load state includes overload, normal load and excess load; Determining a data transmission strategy for transmitting health assessment parameters to a power plant equipment management and control platform according to a load status of the server; The health assessment parameters are sent to the power plant equipment management and control platform through the selected data transmission strategy for operation and maintenance data management.

2. According to claim 1, an operation and maintenance management method based on power plant equipment operation health assessment is characterized in that: Obtaining the operation evaluation parameters of the server of the current power plant equipment management and control platform, and determining the load state of the current server by the operation evaluation parameters, wherein the load state includes overload, normal load and excess load, including: Extract the running status parameters of the current server; The operation evaluation parameter of the server is obtained according to the operation status parameter of the server; wherein the operation evaluation parameter is obtained by the following formula: ； in, P represents the operation evaluation parameters of the server; P 0 indicates the preset baseline parameter constant; B y Indicates the bandwidth usage of the current server; B z Indicates the total bandwidth of the current server; C y Indicates the data processing volume of the current server per unit time; C d Indicates the rated data processing capacity per unit time of the server; n Indicates the number of frequency bands covered by server communication; G 01i Indicates i The total power of interference signals corresponding to the frequency band; G 02i Indicates i The total power of the server signal corresponding to each frequency band; When the operation evaluation parameter exceeds the first preset parameter threshold, it is determined that the load state of the current server is overloaded; When the operation evaluation parameter does not exceed the first preset parameter threshold, but exceeds the second preset parameter threshold, it is determined that the load state of the current server is normal; When the operation evaluation parameter does not exceed the second preset parameter threshold, it is determined that the load state of the current server is overloaded.

3. According to claim 1, an operation and maintenance management method based on power plant equipment operation health assessment is characterized in that: Determining a data transmission strategy for transmitting the health assessment parameters to the power plant equipment management and control platform according to the load state of the server includes: When the load state of the server is in overload, a first data transmission strategy is adopted as a data transmission strategy for sending the health assessment parameter to the power plant equipment management and control platform; When the load status of the server is in the state of normal load and overload, the second data transmission strategy is adopted as the data transmission strategy for sending the health assessment parameters to the power plant equipment management and control platform.

4. The operation and maintenance management method based on power plant equipment operation health assessment according to claim 3 is characterized in that: The first data transmission strategy is as follows: Extracting each health assessment parameter to be transmitted, wherein each health assessment parameter corresponds to a power plant device to be assessed; Integrate the health assessment parameters corresponding to the multiple power plant equipment to be assessed of the same type into one parameter set to form multiple parameter sets, wherein each parameter set corresponds to one type of multiple power plant equipment to be assessed; Retrieve part of the server's transport capacity resources as the first target resource through the cloud service terminal; Retrieving part of the existing transport resources of the cloud service terminal as the second target resource; Generate virtual servers using the first target resource and the second target resource, wherein the number of each virtual server corresponds to each parameter set one by one; Using the virtual server corresponding to each parameter set as a data transmission server, the parameter set is sent to the power plant equipment management and control platform; The second data transmission strategy is as follows: The parameter set is sent to the power plant equipment management and control platform by using the server of the power plant equipment management and control platform.

5. The operation and maintenance management method based on power plant equipment operation health assessment according to claim 4 is characterized in that: The resource allocation amount of the virtual server corresponding to each parameter set is obtained by the following formula: ； in, W 1 represents a parameter set of the virtual server corresponding to the first target resource; P represents the operation evaluation parameters of the server; P 02 represents a second preset parameter threshold; B 01 Indicates the remaining available bandwidth margin of the cloud service terminal; S 01 Indicates the remaining hardware storage space of the cloud service terminal; C d01 Indicates the rated data processing volume per unit time of the cloud service terminal; λ 1 represents the first adjustment coefficient; C s The amount of data representing health assessment parameters; ； in, W 2 represents a parameter set of the virtual server corresponding to the second target resource; P represents the operation evaluation parameters of the server; P 02 represents a second preset parameter threshold; B 02 Indicates the remaining available bandwidth margin of the server; S 01 Indicates the remaining hardware storage space of the server; C d02 Indicates the rated data processing capacity per unit time of the server; λ 2 represents the second adjustment coefficient.

6. An operation and maintenance management system based on power plant equipment operation health assessment, the operation and maintenance management system is used to implement the operation and maintenance management method described in claim 1-5, characterized in that: The operation and maintenance management system includes: An evaluation module is used to periodically perform health evaluation on the operation status of the corresponding power plant equipment to be evaluated through the equipment operation evaluation terminal to obtain health evaluation parameters; An evaluation module, used to obtain operation evaluation parameters of the server of the current power plant equipment management and control platform, and determine the load state of the current server according to the operation evaluation parameters, wherein the load state includes overload, normal load and excess load; A strategy determination module, used to determine a data transmission strategy for transmitting health assessment parameters to a power plant equipment management and control platform according to a load state of the server; The data transmission module is used to send the health assessment parameters to the power plant equipment management and control platform for operation and maintenance data management through the selected data transmission strategy.

7. The operation and maintenance management system based on power plant equipment operation health assessment according to claim 6 is characterized in that: The evaluation module includes: An information extraction module is used to extract the operating status parameters of the current server; A parameter acquisition module is used to acquire the operation evaluation parameters of the server according to the operation status parameters of the server; wherein the operation evaluation parameters are acquired by the following formula: ； in, P represents the operation evaluation parameters of the server; P 0 indicates the preset baseline parameter constant; B y Indicates the bandwidth usage of the current server; B z Indicates the total bandwidth of the current server; C y Indicates the data processing volume of the current server per unit time; C d Indicates the rated data processing capacity per unit time of the server; n Indicates the number of frequency bands covered by server communication; G 01i Indicates i The total power of interference signals corresponding to the frequency band; G 02i Indicates i The total power of the server signal corresponding to each frequency band; A first determination module, configured to determine that the load state of the current server is overloaded when the operation evaluation parameter exceeds a first preset parameter threshold; A second determination module is used to determine that the load state of the current server is normal when the operation evaluation parameter does not exceed the first preset parameter threshold, but exceeds the second preset parameter threshold; The third determination module is used to determine that the load state of the current server is overloaded when the operation evaluation parameter does not exceed the second preset parameter threshold.

8. The operation and maintenance management system based on power plant equipment operation health assessment according to claim 6 is characterized in that: The strategy determination module includes: A first strategy module, configured to use a first data transmission strategy as a data transmission strategy for sending the health assessment parameter to a power plant equipment management and control platform when the load state of the server is in an overload state; The second strategy module is used to adopt the second data transmission strategy as the data transmission strategy for sending the health assessment parameters to the power plant equipment management and control platform when the load status of the server is in normal load and overload.

9. The operation and maintenance management system based on power plant equipment operation health assessment according to claim 8 is characterized in that: The first data transmission strategy is as follows: Extracting each health assessment parameter to be transmitted, wherein each health assessment parameter corresponds to a power plant device to be assessed; Integrate the health assessment parameters corresponding to the multiple power plant equipment to be assessed of the same type into one parameter set to form multiple parameter sets, wherein each parameter set corresponds to one type of multiple power plant equipment to be assessed; Retrieve part of the server's transport capacity resources as the first target resource through the cloud service terminal; Retrieving part of the existing transport resources of the cloud service terminal as the second target resource; Generate virtual servers using the first target resource and the second target resource, wherein the number of each virtual server corresponds to each parameter set one by one; Using the virtual server corresponding to each parameter set as a data transmission server, the parameter set is sent to the power plant equipment management and control platform; The second data transmission strategy is as follows: The parameter set is sent to the power plant equipment management and control platform by using the server of the power plant equipment management and control platform.

10. The operation and maintenance management system based on power plant equipment operation health assessment according to claim 9, characterized in that: The resource allocation amount of the virtual server corresponding to each parameter set is obtained by the following formula: ； in, W 1 represents a parameter set of the virtual server corresponding to the first target resource; P represents the operation evaluation parameters of the server; P 02 represents a second preset parameter threshold; B 01 Indicates the remaining available bandwidth margin of the cloud service terminal; S 01 Indicates the remaining hardware storage space of the cloud service terminal; C d01 Indicates the rated data processing volume per unit time of the cloud service terminal; λ 1 represents the first adjustment coefficient; C s The amount of data representing health assessment parameters; ； in, W 2 represents a parameter set of the virtual server corresponding to the second target resource; P represents the operation evaluation parameters of the server; P 02 represents a second preset parameter threshold; B 02 Indicates the remaining available bandwidth margin of the server; S 01 Indicates the remaining hardware storage space of the server; C d02 Indicates the rated data processing capacity per unit time of the server; λ 2 represents the second adjustment coefficient.

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