Data fusion-based centralized control method for power system operation and maintenance in plant areas

Abstract

This invention discloses a data fusion-based centralized control method for the operation and maintenance of a power system in a plant area, belonging to the field of power system operation and maintenance centralized control technology. It solves the technical problems of existing technologies, such as the inability to perform trend analysis on qualified operating status periods and the inability to qualitatively set power consumption parameters. Specifically, the method includes: power equipment operating status analysis, which analyzes the operating status of power equipment based on operating data stored in the system data platform to obtain corresponding time periods for qualified and unqualified states; load impact assessment, which assesses the impact of power equipment operation and maintenance when the operating status analysis is unqualified, and assesses the impact on the operating load of the power system when maintenance is performed on some power equipment in the power system; power system operation and maintenance decisions are made based on the load impact assessment results; and state trend analysis, which analyzes the state trend of power equipment when the operating status analysis is qualified, and quantitatively and qualitatively sets the state trend of power equipment based on the state trend analysis results.

Description

Technical Field

[0001] This invention relates to the field of power system operation and maintenance centralized control technology, specifically a plant power system operation and maintenance centralized control method based on data fusion. Background Technology

[0002] The plant power system operation and maintenance centralized control refers to a system that centrally monitors, controls and manages the operation of power equipment and power grid within the plant area. With the help of technologies such as communication, computers and automation, the data of power equipment distributed in different areas of the plant area is transmitted to the centralized control center in real time. Operation and maintenance personnel can remotely monitor the operating status of equipment, complete equipment operation and adjustment, and quickly handle faults from the centralized control center.

[0003] However, existing technologies cannot collect information on power equipment and assess its operational status through data fusion, nor can they analyze periods of unqualified operation to make maintenance decisions that align with actual operation. Furthermore, they cannot perform trend analysis on periods of qualified operation and cannot set qualitative power consumption parameters, which reduces the relevance and effectiveness of centralized control for power system operation and maintenance.

[0004] To address the aforementioned technical shortcomings, a solution is proposed. Summary of the Invention

[0005] The purpose of this invention is to solve the problems mentioned above by proposing a centralized control method for the operation and maintenance of power systems in plant areas based on data fusion.

[0006] The objective of this invention can be achieved through the following technical solutions:

[0007] The data fusion-based centralized control method for the operation and maintenance of power systems in plant areas is as follows:

[0008] Data fusion is used to build a power system data platform. This involves collecting operational data from various power equipment in the power system and constructing the system data platform.

[0009] Power equipment operation status analysis: Based on the operation data stored in the system data platform, the operation status of power equipment is analyzed to obtain the corresponding time periods of qualified and unqualified status;

[0010] When load impact assessment and operational status analysis fail, the operation and maintenance of power equipment are assessed, and when some power equipment in the power system is operated and maintained, the impact on the operating load of the power system is assessed.

[0011] Make power system operation and maintenance decisions based on load impact assessment results;

[0012] Status trend analysis: When the operating status analysis is qualified, a status trend analysis is performed on the power equipment; based on the results of the status trend analysis, the status trend of the power equipment is quantitatively and qualitatively set.

[0013] As a preferred embodiment of the present invention, the power equipment operating status analysis process is as follows:

[0014] Data is collected from the power equipment within the power system, and the power equipment is sorted into corresponding sequences according to the work tasks of the power system. The work order of the power system is obtained through the coordinated operation of the power equipment.

[0015] Based on the task operation procedures of the power system, the operation of the power equipment is analyzed, and the input data of the power system to the power equipment is marked as task allocation data; after the power equipment receives the task allocation data, the operation is analyzed, and the real-time output data is marked as task completion data;

[0016] The power equipment involved in the power system task operation process is analyzed to obtain the fluctuation value of the real-time task allocation data and the corresponding power equipment number. If the power equipment involved in the current task operation process all show fluctuations in the value of the task allocation data and the fluctuation trend is consistent, then the operating environment of the corresponding power equipment is marked as a unified allocation environment.

[0017] As a preferred embodiment of the present invention, in a unified allocation environment, the data fluctuation of the completed tasks of each power equipment is obtained, and the data fluctuation curve of the completed tasks when the power equipment performs its tasks is obtained based on the data fluctuation at each time. If the slope of the corresponding fluctuation curve is within the current slope range, it is inferred that the operating status of the power equipment in the current unified allocation environment is qualified.

[0018] If the floating slope of the corresponding floating curve is within the current floating slope range, it is inferred that the current unified allocation environment affects the operating status of the power equipment, and the amount of task data increase allocated to the unified allocation environment is reduced according to the power system operation requirements. If the floating slope of the corresponding floating curve of the power equipment does not enter the floating slope range, it indicates that the operating status of the power equipment is abnormal, and it is inferred that the operating status of the power equipment in the current unified allocation environment is unqualified.

[0019] In a preferred embodiment of the present invention, if the power equipment involved in the current task operation process does not show numerical fluctuations in the assigned task data, the operating environment of the corresponding power equipment is marked as an environment for adding configuration; and the power equipment is divided into equipment with added configuration and equipment without added configuration according to the environment for adding configuration.

[0020] The range of increase in the fluctuation of the completed task data of the added equipment and the range of decrease in the fluctuation frequency of the completed task data of the non-added equipment are collected, and the range ratio is obtained by comparing the values ​​of the ranges.

[0021] If the span ratio exceeds the span ratio threshold, it is inferred that the operating status of the power equipment under the enhanced configuration environment is unqualified; if the span ratio does not exceed the span ratio threshold, it is inferred that the operating status of the power equipment under the enhanced configuration environment is qualified.

[0022] The operating periods corresponding to the qualified and unqualified states of power equipment are collected and marked as qualified state periods and unqualified state periods, respectively.

[0023] In a preferred embodiment of the present invention, during the period of non-compliance, the task operation process of the corresponding power equipment is statistically analyzed, and the operating environment of the task operation process is analyzed after the statistics are statistically analyzed. The average value of the fluctuation range of the power equipment allocation task data under the unified allocation environment within the task operation process is collected, and the increase value of the proportion of power equipment quantity in response to the fluctuation of the allocation task data under the allocation environment is collected.

[0024] If the average increase in the range of power equipment allocation task data under the unified allocation environment within the task operation process exceeds the average range threshold, or if the increase in the proportion of power equipment with fluctuating allocation task data under the allocation environment exceeds the proportion increase threshold, then the operating environment of the current task operation process is set to a high load trend. If the average increase in the range of power equipment allocation task data under the unified allocation environment within the task operation process does not exceed the average range threshold, and the increase in the proportion of power equipment with fluctuating allocation task data under the allocation environment does not exceed the proportion increase threshold, then the operating environment of the current task operation process is set to a low load trend. An impact assessment is conducted based on the load trend, and decisions are made regarding power system operation and maintenance.

[0025] As a preferred embodiment of the present invention, the decrease rate of the data of non-maintenance equipment completing tasks after real-time operation and maintenance is performed under high load trend, and the amount of data of non-maintenance equipment floating and assigned tasks after real-time operation and maintenance is performed under low load trend that exceeds the rated operating data of the equipment.

[0026] If, under a high load trend, the rate of decrease in the value of the task completion data of non-maintenance equipment exceeds the decrease rate threshold after real-time maintenance is executed, or if, under a low load trend, the value of the assigned task data of non-maintenance equipment after floating exceeds the value of the rated operating data of the equipment by more than the value threshold after real-time maintenance is executed, it is inferred that there is a high impact of the load during the maintenance phase, and the task operation procedures in the current period are adjusted.

[0027] If, under a high load trend, the rate of decrease in the value of the task completion data of non-maintenance equipment after real-time maintenance is executed does not exceed the rate of decrease threshold, and under a low load trend, the value of the assigned task data of non-maintenance equipment after floating exceeds the value of the rated operating data of the equipment by no more than the value threshold, then it is inferred that the load has a low impact during the maintenance phase, and the power equipment that needs to be maintained during the current maintenance process will be centrally controlled.

[0028] In a preferred embodiment of the present invention, during the qualified state period, a state trend analysis is performed on the non-maintenance power equipment, and the periods of increasing task allocation data and decreasing task completion data of the non-maintenance power equipment are collected. The overlapping periods of the increasing and decreasing periods are marked as state risk periods; the non-overlapping periods are marked as non-state risk periods.

[0029] The data collection process includes: the ratio of the decrease in the data range corresponding to the assigned task values ​​of power equipment during the risk period to the increase in the data range corresponding to the completed task values; and the maximum duration of the adjacent non-risk period after the current risk period ends.

[0030] As a preferred embodiment of the present invention, if the ratio of the value span of the decrease in the assigned task data value of the power equipment to the value span of the increase in the completed task data value during the state risk period exceeds the value span ratio threshold, and the maximum duration of the adjacent non-state risk period after the end of the current state risk period does not exceed the duration threshold, then the current state trend of the power equipment is characterized as a state of equipment risk.

[0031] If the ratio of the decrease in the data value of the assigned task corresponding to the power equipment to the increase in the data value of the completed task exceeds the threshold of the value span ratio during the state risk period, and the maximum duration of the adjacent non-state risk period after the end of the current state risk period exceeds the duration threshold, then the current state trend of the power equipment is characterized as a task setting risk state.

[0032] If the ratio of the decrease in the value of the assigned task data and the increase in the value of the completed task data for the power equipment during the state risk period does not exceed the value span ratio threshold, and the maximum duration of the adjacent non-state risk period after the end of the current state risk period exceeds the duration threshold, then it is inferred that the current state trend of the power equipment is normal.

[0033] If the ratio of the decrease in the data range corresponding to the assigned task of the power equipment to the increase in the data range corresponding to the completed task during the state risk period does not exceed the value range ratio threshold, and the maximum duration of the adjacent non-state risk period after the end of the current state risk period does not exceed the duration threshold, then the current state trend of the power equipment is characterized as a state of equipment performance risk.

[0034] Compared with the prior art, the beneficial effects of the present invention are:

[0035] 1. In this invention, data fusion is used to collect operational data of various power equipment in the power system and construct a system data platform; the system data platform stores the operational data of the power system, which is beneficial for data comparison at different stages and can effectively analyze the operating status and trends of the power system.

[0036] Based on the operating status of power equipment, it can be inferred whether the current power system needs maintenance, so as to carry out timely operation and maintenance control to reduce the failure rate of the power system. Furthermore, by integrating the operating data of power equipment, it is possible to trace the source of power equipment faults, so as to carry out targeted fault repair and maintenance.

[0037] 2. In this invention, the impact assessment of the operating load of the power system is carried out to enable efficient operation and maintenance centralized control. Based on the real-time operation of the power equipment, operation and maintenance centralized control is performed to reduce the occurrence of power supply anomalies during power system operation and maintenance, reduce load satisfaction, and thus reduce operation and maintenance efficiency and make it impossible to effectively resolve equipment faults in the power system. Based on the load impact assessment results, power system operation and maintenance decisions are made to ensure that real-time operation and maintenance decisions can effectively reduce the persistence of power system faults and avoid secondary faults that affect the power system's supply efficiency.

[0038] 3. In this invention, the current power system is inferred to have power operation and maintenance needs based on real-time status trend analysis, so as to avoid the failure of the power system to be minimized, so as to ensure the normal operation of the power system; the status trend of the power equipment is quantitatively and qualitatively set based on the status trend analysis results. Attached Figure Description

[0039] To facilitate understanding by those skilled in the art, the present invention will be further described below with reference to the accompanying drawings.

[0040] Figure 1 This is a flowchart illustrating the overall method of the present invention;

[0041] Figure 2 This is a flowchart of the load impact assessment method in this invention. Detailed Implementation

[0042] To enable those skilled in the art to better understand the present invention, the technical solutions of the present invention will be clearly and completely described below with reference to the accompanying drawings of the embodiments of the present invention. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0043] In this document, the term "embodiment" means that a particular feature, structure, or characteristic described in connection with an embodiment may be included in at least one embodiment of the invention. The appearance of this phrase in various places throughout the specification does not necessarily refer to the same embodiment, nor is it a separate or alternative embodiment mutually exclusive with other embodiments. It will be explicitly and implicitly understood by those skilled in the art that the embodiments described herein can be combined with other embodiments.

[0044] Please see Figure 1 As shown, the operation and maintenance centralized control method for the power system in the plant area based on data fusion is as follows:

[0045] Data fusion is used to build a power system data platform. This involves collecting operational data from various power devices and constructing the system data platform. The system data platform stores the operational data of the power system, which facilitates data comparison at different stages and enables effective analysis of the power system's operational status and trends.

[0046] Power equipment operation status analysis: Based on the operation data stored in the system data platform, the operation status of power equipment is analyzed. Based on the operation status of power equipment, it is inferred whether the current power system needs maintenance, so as to carry out timely operation and maintenance control to reduce the failure rate of the power system. Furthermore, by integrating the operation data of power equipment, the source of power equipment faults can be traced, so as to carry out targeted fault repair and maintenance.

[0047] When load impact assessment and operational status analysis fail to meet the requirements for power equipment operation and maintenance, and when some power equipment in the power system is operated and maintained, the impact assessment of the operating load of the power system is carried out to achieve efficient operation and maintenance centralized control. Based on the real-time operation and maintenance of power equipment, operation and maintenance centralized control is carried out to reduce the occurrence of power supply anomalies during power system operation and maintenance, reduce load satisfaction, and thus reduce operation and maintenance efficiency and make it impossible to effectively resolve equipment faults in the power system.

[0048] Power system operation and maintenance decisions are made based on load impact assessment results to ensure that real-time operation and maintenance decisions can effectively reduce the persistence of power system faults and avoid secondary faults that could affect the power system's supply efficiency.

[0049] Status trend analysis: When the operating status analysis is qualified, status trend analysis is performed on the power equipment. Based on the real-time status trend analysis, it is inferred whether there is a power operation and maintenance need in the current power system, so as to avoid the failure of the power system to be minimized, so as to ensure the normal operation of the power system. The status trend of the power equipment is quantitatively and qualitatively set according to the status trend analysis results.

[0050] The process of power equipment operation status analysis is as follows:

[0051] Data is collected from the power equipment within the power system, and the power equipment is sorted into corresponding sequences according to the work tasks of the power system. The work order of the power system is obtained through the coordinated operation of the power equipment.

[0052] Based on the task operation procedures of the power system, the operation of the power equipment is analyzed, and the input data of the power system to the power equipment is marked as the task allocation data, such as the required supply duration and the required supply voltage of the power equipment; and after the power equipment receives the task allocation data, the operation is analyzed, and the real-time output data is marked as the task completion data, such as the real-time supply duration and the real-time supply voltage of the power equipment.

[0053] The power equipment involved in the power system task operation process is analyzed to obtain the floating value of the real-time task allocation data and the corresponding power equipment number. If the power equipment involved in the current task operation process all show the value of the task allocation data fluctuation and the fluctuation trend is consistent, the operating environment of the corresponding power equipment is marked as a unified allocation environment.

[0054] In a unified allocation environment, the data fluctuation of each power device's completed task is obtained, and the data fluctuation curve of the completed task is obtained based on the data fluctuation at each time. If the slope of the corresponding fluctuation curve is within the current slope range, it is inferred that the operating status of the power device in the current unified allocation environment is qualified.

[0055] If the floating slope of the corresponding floating curve is within the current floating slope range, it is inferred that the current unified allocation environment affects the operating status of the power equipment, and the amount of task data increase in the unified allocation environment is reduced according to the power system operation requirements. If the floating slope of the corresponding floating curve of the power equipment does not enter the floating slope range, it indicates that the operating status of the power equipment is abnormal, and it is inferred that the operating status of the power equipment in the current unified allocation environment is unqualified.

[0056] If the power equipment involved in the current task operation process does not show numerical fluctuations in the assigned task data, the corresponding operating environment of the power equipment will be marked as an environment for additional equipment allocation; and the power equipment will be divided into equipment with additional equipment allocation and equipment without additional equipment allocation based on the environment for additional equipment allocation.

[0057] The data collected includes the increase span of the completed task data fluctuation of the upgraded equipment and the decrease span of the completed task data fluctuation frequency of the non-upgraded equipment. The span value ratio is obtained by comparing the span values. The span comparison calculates the ratio of the span values ​​without considering the unit issue.

[0058] If the span ratio exceeds the span ratio threshold, it is inferred that the operating status of the power equipment under the increased configuration environment is unqualified.

[0059] If the span ratio does not exceed the span ratio threshold, it is inferred that the operating status of the power equipment under the increased configuration environment is qualified.

[0060] The operating periods corresponding to the qualified and unqualified states of power equipment are collected and marked as qualified state periods and unqualified state periods, respectively.

[0061] Please see Figure 2 As shown, maintenance is carried out on power equipment in non-conforming condition, and the load impact assessment is conducted on the maintenance process during the non-conforming period.

[0062] During the period of non-compliance, the task operation process of the corresponding power equipment is statistically analyzed, and the operating environment of the task operation process is analyzed after the statistics are statistically analyzed. The average range of the fluctuation of the power equipment allocation task data under the unified allocation environment within the task operation process is collected, and the increase value of the proportion of power equipment quantity fluctuating under the allocation task data fluctuation under the allocation environment is collected.

[0063] If the average increase in the range of power equipment allocation task data under the unified allocation environment within the task operation process exceeds the average range threshold, or if the increase in the proportion of power equipment in the allocation task data under the allocation environment exceeds the proportion increase threshold, then the operating environment of the current task operation process will be set to a high load trend; if the average increase in the range of power equipment allocation task data under the unified allocation environment within the task operation process does not exceed the average range threshold, and the increase in the proportion of power equipment in the allocation task data under the allocation environment does not exceed the proportion increase threshold, then the operating environment of the current task operation process will be set to a low load trend.

[0064] Conduct impact assessments based on load trends and make decisions regarding power system operation and maintenance;

[0065] The data collected showed the rate of decrease in the value of task completion data of non-maintenance equipment after real-time maintenance execution under high load trend, and the amount of value of assigned task data of non-maintenance equipment after floating after real-time maintenance execution under low load trend that exceeded the value of the rated operating data of the equipment. The rated operating data of the equipment was consistent with the data type of the corresponding assigned task.

[0066] If, under a high load trend, the rate of decrease in the data of non-maintenance equipment completing tasks after real-time maintenance is executed exceeds the decrease rate threshold, or if, under a low load trend, the data of non-maintenance equipment after floating and being assigned tasks exceeds the data of the equipment's rated operating data by more than the value threshold, it is inferred that there is a high impact of the load during the maintenance phase. The task operation procedures in the current period are then adjusted to stagger the number of power equipment required for the task operation procedures with the number of real-time maintenance tasks, so as to avoid the decrease in the efficiency of task operation procedures from affecting the operating status of non-maintenance power equipment.

[0067] If, under a high load trend, the rate of decrease in the value of the task completion data of non-maintenance equipment after real-time maintenance is executed does not exceed the rate of decrease threshold, and under a low load trend, the value of the assigned task data of non-maintenance equipment after floating exceeds the value of the rated operating data of the equipment by no more than the value threshold, it is inferred that the load has a low impact during the maintenance phase. In this case, the power equipment that needs to be maintained during the current maintenance process will be centrally controlled to ensure that the maintenance progress is accelerated during the low load impact period and to avoid the impact of the maintenance phase on the power system.

[0068] During the qualified status period, status trend analysis is performed on non-maintenance power equipment. The periods of increasing task allocation data and decreasing task completion data of non-maintenance power equipment are collected. The overlapping periods of increasing and decreasing periods are marked as status risk periods; the non-overlapping periods are marked as non-status risk periods.

[0069] The data collection process includes: the ratio of the decrease in the data range corresponding to the assigned task values ​​of power equipment during the risk period to the increase in the data range corresponding to the completed task values; and the maximum duration of the adjacent non-risk period after the current risk period ends.

[0070] If the ratio of the decrease in the data value of the assigned task corresponding to the power equipment to the increase in the data value of the completed task exceeds the threshold during the state risk period, and the maximum duration of the adjacent non-state risk period after the end of the current state risk period does not exceed the duration threshold, then it is inferred that the current state trend of the power equipment is abnormal, the current state trend of the power equipment is characterized as a risk state of the equipment, and the power equipment number is sent to the administrator terminal. The administrator terminal performs equipment fault protection pre-detection during idle time according to the task operation procedure of the power equipment.

[0071] If the ratio of the decrease in the data value of the assigned task corresponding to the power equipment to the increase in the data value of the completed task exceeds the threshold during the state risk period, and the maximum duration of the adjacent non-state risk period after the end of the current state risk period exceeds the duration threshold, then it is inferred that the current state trend of the power equipment is abnormal, the current state trend of the power equipment is characterized as a task setting risk state, and the power equipment number is sent to the administrator terminal. The administrator terminal controls the floating amount of the assigned task parameters according to the task operation procedure of the power equipment.

[0072] If the ratio of the decrease in the value of the assigned task data and the increase in the value of the completed task data for the power equipment during the state risk period does not exceed the value span ratio threshold, and the maximum duration of the adjacent non-state risk period after the end of the current state risk period exceeds the duration threshold, then it is inferred that the current state trend of the power equipment is normal.

[0073] If the ratio of the decrease in the data range corresponding to the assigned task of the power equipment to the increase in the data range corresponding to the completed task during the state risk period does not exceed the value range ratio threshold, and the maximum duration of the adjacent non-state risk period after the end of the current state risk period does not exceed the duration threshold, then it is inferred that the current state trend of the power equipment is abnormal, the current state trend of the power equipment is characterized as a performance risk state, and the power equipment number is sent to the administrator terminal, and the administrator performs maintenance on the power equipment.

[0074] In use, this invention collects operational data from various power devices in a power system through data fusion and constructs a system data platform; it analyzes the operational status of power devices based on the operational data stored in the system data platform, obtaining corresponding time periods for qualified and unqualified states; it assesses the impact of load on the power system's operating load when the operational status analysis is unqualified, and when some power devices in the power system are under maintenance, it makes power system maintenance decisions based on the load impact assessment results; and it analyzes the state trend of power devices when the operational status analysis is qualified, and quantitatively and qualitatively sets the state trend of power devices based on the state trend analysis results.

[0075] The preferred embodiments of the present invention disclosed above are merely illustrative of the invention. These preferred embodiments do not exhaustively describe all details, nor do they limit the invention to any specific implementation. Clearly, many modifications and variations can be made based on the content of this specification. This specification selects and specifically describes these embodiments to better explain the principles and practical applications of the invention, thereby enabling those skilled in the art to better understand and utilize the invention. The invention is limited only by the claims and their full scope and equivalents.

Claims

1. A centralized control method for operation and maintenance of power systems in plant areas based on data fusion, characterized in that, The specific operation and maintenance centralized control method process is as follows: Data fusion is used to build a power system data platform. This involves collecting operational data from various power equipment in the power system and constructing the system data platform. Power equipment operation status analysis: Based on the operation data stored in the system data platform, the operation status of power equipment is analyzed to obtain the corresponding time periods of qualified and unqualified status; During the period of non-compliance, the task operation process of the corresponding power equipment is statistically analyzed, and the operating environment of the task operation process is analyzed after the statistics are statistically analyzed. The average range of the fluctuation of the power equipment allocation task data under the unified allocation environment within the task operation process is collected, and the increase value of the proportion of power equipment quantity fluctuating under the allocation task data fluctuation under the allocation environment is collected. If the average increase in the range of the assigned task data exceeds the average range threshold, or if the increase in the proportion of power equipment in the assigned task data exceeds the proportion increase threshold, then the operating environment of the current task operation process will be set to a high load trend; if the average increase in the range of the assigned task data does not exceed the average range threshold, and the increase in the proportion of power equipment in the assigned task data does not exceed the proportion increase threshold, then the operating environment of the current task operation process will be set to a low load trend. During the qualified status period, status trend analysis is performed on non-maintenance power equipment, and the periods of increase in the assigned task data and decrease in the completed task data of non-maintenance power equipment are collected. The overlapping periods of the increase and decrease periods are marked as status risk periods. Non-overlapping periods are marked as non-state risk periods; The ratio of the range of decrease in the data value of the assigned task corresponding to the power equipment during the risk period to the range of increase in the data value of the completed task; Simultaneously, the maximum duration of the adjacent non-state risk period after the current state risk period ends was collected; If the corresponding numerical span ratio exceeds the numerical span ratio threshold, and the maximum duration of adjacent non-state risk periods does not exceed the duration threshold, then the current power equipment state trend is characterized as equipment risk state. If the corresponding numerical span ratio exceeds the numerical span ratio threshold, and the maximum duration of adjacent non-state risk periods exceeds the duration threshold, then the current power equipment state trend is characterized as a task setting risk state. If the corresponding numerical span ratio does not exceed the numerical span ratio threshold, and the maximum duration of adjacent non-state risk periods exceeds the duration threshold, then it is inferred that the current state trend of the power equipment is normal. If the corresponding numerical span ratio does not exceed the numerical span ratio threshold, and the maximum duration of adjacent non-state risk periods does not exceed the duration threshold, then the current power equipment state trend is characterized as an equipment performance risk state. When load impact assessment and operational status analysis fail, the operation and maintenance of power equipment are assessed, and when some power equipment in the power system is operated and maintained, the impact on the operating load of the power system is assessed. Make power system operation and maintenance decisions based on load impact assessment results; Status trend analysis: When the operation status analysis is qualified, status trend analysis is performed on the power equipment; based on the status trend analysis results, the status trend of the power equipment is quantitatively and qualitatively set; the rate of decrease of the value of the task completion data of non-maintenance equipment after real-time operation and maintenance is executed under high load trend, and the amount of the value of the assigned task data of non-maintenance equipment after floating after real-time operation and maintenance is executed under low load trend exceeds the value of the rated operation data of the equipment. If the rate of decrease of the task data completed by non-maintenance equipment exceeds the decrease rate threshold, or if the value of the task data allocated after the non-maintenance equipment floats exceeds the value of the rated operating data of the equipment by more than the value threshold, it is inferred that there is a high impact of the load during the maintenance phase, and the task operation procedures in the current period are adjusted. If the rate of decrease of the task data of non-maintenance equipment does not exceed the rate of decrease threshold, and the value of the task data allocated after the non-maintenance equipment floats does not exceed the value threshold of the rated operating data of the equipment, it is inferred that the load has a low impact during the maintenance phase. In this case, the power equipment that needs to be maintained during the current maintenance process will be centrally controlled.

2. The method for centralized control and maintenance of power systems in plant areas based on data fusion according to claim 1, characterized in that, The process of power equipment operation status analysis is as follows: the power system task operation sequence is obtained through the coordinated operation between power equipment; the power system input data to power equipment is marked as task allocation data; After receiving the assigned task data, the power equipment performs operational analysis and marks the real-time output data as task completion data. The power equipment involved in the power system task operation process is analyzed to obtain the fluctuation value of the real-time task allocation data and the corresponding power equipment number. If the power equipment involved in the current task operation process all show fluctuations in the value of the task allocation data and the fluctuation trend is consistent, then the operating environment of the corresponding power equipment is marked as a unified allocation environment.

3. The method for centralized control and maintenance of power systems in plant areas based on data fusion according to claim 2, characterized in that, In a unified allocation environment, the data fluctuation of each power device's completed task is obtained, and the data fluctuation curve of the completed task is obtained based on the data fluctuation at each time. If the slope of the corresponding fluctuation curve is within the current slope range, it is inferred that the operating status of the power device in the current unified allocation environment is qualified. If the floating slope of the corresponding floating curve is within the current floating slope range, it is inferred that the current unified allocation environment affects the operating status of the power equipment, and the amount of task data increase allocated to the unified allocation environment is reduced according to the power system operation requirements. If the floating slope of the corresponding floating curve of the power equipment does not enter the floating slope range, it indicates that the operating status of the power equipment is abnormal, and it is inferred that the operating status of the power equipment in the current unified allocation environment is unqualified.

4. The centralized control method for operation and maintenance of power systems in plant areas based on data fusion according to claim 3, characterized in that, If the power equipment involved in the current task operation process does not show numerical fluctuations in the assigned task data, the corresponding operating environment of the power equipment will be marked as an environment for additional equipment allocation; and the power equipment will be divided into equipment with additional equipment allocation and equipment without additional equipment allocation based on the environment for additional equipment allocation. The range of increase in the fluctuation of the completed task data of the added equipment and the range of decrease in the fluctuation frequency of the completed task data of the non-added equipment are collected, and the range ratio is obtained by comparing the values ​​of the ranges. If the span ratio exceeds the span ratio threshold, it is inferred that the operating status of the power equipment under the enhanced configuration environment is unqualified; if the span ratio does not exceed the span ratio threshold, it is inferred that the operating status of the power equipment under the enhanced configuration environment is qualified. The operating periods corresponding to the qualified and unqualified states of power equipment are collected and marked as qualified state periods and unqualified state periods, respectively.

Images