Factory power system operation and maintenance centralized control method based on data fusion

Abstract

The invention discloses a factory electric power system operation and maintenance centralized control method based on data fusion, relates to the technical field of electric power system operation and maintenance centralized control, and solves the technical problems in the prior art that trend analysis cannot be carried out on a qualified operation state period and qualitative setting of electric quantity cannot be carried out, in particular to electric power equipment operation state analysis. Performing operation state analysis on the power equipment according to operation data stored in the system data platform to obtain corresponding time periods of a qualified state and an unqualified state; load influence evaluation: performing operation and maintenance on the power equipment when the operation state analysis is unqualified, and performing influence evaluation on the operation load of the power system when part of the power equipment in the power system is operated and maintained; making a power system operation and maintenance decision according to a load influence evaluation result; state trend analysis: performing state trend analysis on the power equipment when the operation state analysis is qualified; and performing quantitative and qualitative setting on the state trend of the power equipment according to the state trend analysis result.

Description

Technical Field

[0001] The present invention relates to the technical field of operation and maintenance centralized control of power systems, and specifically to a method for centralized operation and maintenance control of a plant power system based on data fusion. Background Art

[0002] Centralized operation and maintenance control of a plant power system refers to a system for centralized monitoring, control, and management of power equipment and grid operation within a plant; by means of technologies such as communication, computer, and automation, power equipment data distributed in different areas of the plant is transmitted to the centralized control center in real time; operation and maintenance personnel can remotely monitor the operation status of the equipment in the centralized control center, complete equipment operation and adjustment, and can also quickly handle faults.

[0003] However, in the prior art, it is impossible to collect information on power equipment through data fusion and evaluate the operation status of power equipment, nor can it analyze unqualified operation status periods to fit the actual operation process for operation and maintenance decision-making. In addition, it is impossible to perform trend analysis on qualified operation status periods, and it is impossible to set the power quantity qualitatively, reducing the pertinence and effectiveness of the centralized operation and maintenance control of the power system.

[0004] In view of the above technical deficiencies, a solution is proposed. Summary of the Invention

[0005] The purpose of the present invention is to solve the above-mentioned problems, and a method for centralized operation and maintenance control of a plant power system based on data fusion is proposed.

[0006] The purpose of the present invention can be achieved through the following technical solutions:

[0007] A method for centralized operation and maintenance control of a plant power system based on data fusion, and the specific process of the operation and maintenance control method is as follows:

[0008] Data fusion constructs a power system data platform, and through data fusion, collects operation data of each power equipment in the power system and constructs a system data platform;

[0009] Analysis of the operation status of power equipment, based on the operation data stored in the system data platform, analyzes the operation status of power equipment to obtain the corresponding periods of qualified status and unqualified status;

[0010] Load impact assessment, when the operation status analysis is unqualified, perform operation and maintenance on the power equipment, and when performing operation and maintenance on some power equipment in the power system, evaluate the impact on the operation load of the power system;

[0011] Make operation and maintenance decisions for the power system according to the load impact assessment results;

[0012] State trend analysis: when the operation state analysis is qualified, perform state trend analysis on power equipment; quantitatively and qualitatively set the state trend of power equipment according to the results of state trend analysis.

[0013] As a preferred embodiment of the present invention, the process of analyzing the operation state of power equipment is as follows:

[0014] Collect power equipment in the power system, and standardize the power equipment in the corresponding order according to the work tasks of the power system, and obtain the task operation process of the power system through the coordinated operation of power equipment;

[0015] According to the task operation process of the power system, perform operation analysis on power equipment, mark the input data of the power system to the power equipment as allocated task data; and perform operation analysis after the power equipment receives the allocated task data, and mark the real-time output data as completed task data;

[0016] Analyze the power equipment involved in the task operation process of the power system, obtain the floating value of the real-time allocated task data and the corresponding power equipment number. If the values of the allocated task data of all the power equipment involved in the current task operation process show fluctuations and the floating trends are consistent, then mark the operating environment of the corresponding involved power equipment as a unified additional allocation environment.

[0017] As a preferred embodiment of the present invention, in the unified additional allocation environment, obtain the floating amount of the completed task data of each power equipment, and obtain the floating curve of the completed task data when the power equipment executes the task operation according to the floating amount of data at each moment. If the floating slope of the corresponding floating curve is within the current floating slope range, it is inferred that the operation state of the power equipment in the current unified additional 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 additional allocation environment affects the operation state of the power equipment, and the increase amount of the allocated task data for the unified additional allocation environment is reduced according to the operation requirements of the power system. If the floating slope of the corresponding floating curve of the power equipment does not enter the floating slope range, it indicates that the operation state of the power equipment is abnormal, and it is inferred that the operation state of the power equipment in the current unified additional allocation environment is unqualified.

[0019] As a preferred embodiment of the present invention, if the values of the allocated task data of the power equipment involved in the current task operation process do not all show fluctuations, then mark the operating environment of the corresponding involved power equipment as a targeted additional allocation environment; and divide the power equipment into additional allocation equipment and non-additional allocation equipment according to the targeted additional allocation environment;

[0020] Collect the increase span of the completion task data floating amount of the additional equipment and the decrease span of the completion task data floating frequency of the non-additional equipment, and obtain the span value ratio according to the comparison of the span values;

[0021] If the span value ratio exceeds the span value ratio threshold, it is inferred that the operation state of the power equipment in the additional environment is unqualified; if the span value ratio does not exceed the span value ratio threshold, it is inferred that the operation state of the power equipment in the additional environment is qualified;

[0022] Collect the operation time periods corresponding to the qualified state and unqualified state of the power equipment, and mark them as the qualified state time period and the unqualified state time period respectively.

[0023] As a preferred implementation mode of the present invention, within the unqualified state time period, count the task operation processes where the corresponding power equipment is located, and perform an operation environment analysis on the task operation processes after the statistics. Collect the average increase span of the distribution task data floating of the power equipment in the unified additional environment within the task operation process, and collect the increase value of the proportion of the number of power equipment with floating distribution task data in the additional environment;

[0024] If the average increase span of the distribution task data floating of the power equipment in the unified additional environment within the task operation process exceeds the span average threshold, or the increase value of the proportion of the number of power equipment with floating distribution task data in the additional environment exceeds the proportion increase threshold, set the operation environment of the current task operation process as a high-load trend; if the average increase span of the distribution task data floating of the power equipment in the unified additional environment within the task operation process does not exceed the span average threshold, and the increase value of the proportion of the number of power equipment with floating distribution task data in the additional environment does not exceed the proportion increase threshold, set the operation environment of the current task operation process as a low-load trend; conduct an impact assessment in combination with the load trend and make a decision on the operation and maintenance of the power system.

[0025] As a preferred implementation mode of the present invention, collect the numerical decrease speed of the completion task data of the non-operation and maintenance equipment after the real-time operation and maintenance execution under the high-load trend, and the numerical amount by which the distributed task data of the non-operation and maintenance equipment exceeds the rated operation data of the equipment after floating under the low-load trend;

[0026] If the numerical decrease speed of the completion task data of the non-operation and maintenance equipment after the real-time operation and maintenance execution under the high-load trend exceeds the decrease speed threshold, or the numerical amount by which the distributed task data of the non-operation and maintenance equipment exceeds the rated operation data of the equipment after floating under the low-load trend exceeds the numerical amount threshold, it is inferred that there is a high impact on the load during the operation and maintenance stage, and adjust the task operation process within the current time period;

[0027] If the numerical value decline rate of the task completion data of non-maintenance equipment after real-time operation and maintenance execution under high load trend does not exceed the decline rate threshold, and the amount by which the numerical value of the task data assigned after floating of non-maintenance equipment after real-time operation and maintenance execution under low load trend exceeds the numerical value of the rated operation data of the equipment does not exceed the numerical value threshold, it is inferred that the load has a low impact during the operation and maintenance phase, and the power equipment that needs to be maintained during the current operation and maintenance process will be centrally controlled.

[0028] As a preferred embodiment of the present invention, during the qualified status period, a status trend analysis is performed on non-maintenance power equipment, the growth period of the assigned task data of the non-maintenance power equipment and the reduction period of the task completion data are collected, and the overlapping period of the growth period and the reduction period is marked as the status risk period; the non-overlapping period is marked as the non-status risk period;

[0029] Collect the corresponding numerical span ratio of the numerical value reduction span of the assigned task data of the power equipment and the numerical value increase span of the task completion data during the status risk period; at the same time, collect the maximum continuous duration of the adjacent non-status risk period after the end of the current status risk period.

[0030] As a preferred embodiment of the present invention, if the corresponding numerical span ratio of the numerical value reduction span of the assigned task data of the power equipment and the numerical value increase span of the task completion data during the status risk period exceeds the numerical span ratio threshold, and the maximum continuous duration of the adjacent non-status risk period after the end of the current status risk period does not exceed the continuous duration threshold, the status trend of the current power equipment is qualitatively determined as the equipment risk status;

[0031] If the corresponding numerical span ratio of the numerical value reduction span of the assigned task data of the power equipment and the numerical value increase span of the task completion data during the status risk period exceeds the numerical span ratio threshold, and the maximum continuous duration of the adjacent non-status risk period after the end of the current status risk period exceeds the continuous duration threshold, the status trend of the current power equipment is qualitatively determined as the task setting risk status;

[0032] If the corresponding numerical span ratio of the numerical value reduction span of the assigned task data of the power equipment and the numerical value increase span of the task completion data during the status risk period does not exceed the numerical span ratio threshold, and the maximum continuous duration of the adjacent non-status risk period after the end of the current status risk period exceeds the continuous duration threshold, it is inferred that the status trend of the current power equipment is normal;

[0033] If the corresponding numerical span ratio of the numerical value reduction span of the assigned task data of the power equipment and the numerical value increase span of the task completion data during the status risk period does not exceed the numerical span ratio threshold, and the maximum continuous duration of the adjacent non-status risk period after the end of the current status risk period does not exceed the continuous duration threshold, the status trend of the current power equipment is qualitatively determined as the equipment performance risk status.

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

[0035] 1. In the present invention, the operation data of each power equipment in the power system is collected through data fusion, and a system data platform is constructed; the operation data of the power system is stored through the system data platform, which is beneficial to data comparison at different stages, and can effectively analyze the operation state and operation trend of the power system;

[0036] It is inferred whether the current power system needs maintenance according to the operation state of the power equipment, so as to perform operation and maintenance control in a timely manner to reduce the operation failure rate of the power system, and the fault source tracing of the power equipment can be carried out through the operation data fusion of the power equipment, so as to facilitate targeted fault repair and maintenance.

[0037] 2. In the present invention, the impact on the operation load of the power system is evaluated, so as to perform efficient operation and maintenance centralized control. According to the real-time operation function of the power equipment, the operation and maintenance centralized control is carried out to reduce the abnormal power supply during the operation and maintenance of the power system, reduce the load satisfaction, and thus reduce the operation and maintenance efficiency and fail to effectively eliminate the equipment faults in the power system; the operation and maintenance decision-making of the power system is carried out according to the load impact evaluation result to ensure that the real-time operation and maintenance decision-making can effectively reduce the fault persistence of the power system and avoid the secondary generation of faults from affecting the supply efficiency of the power system.

[0038] 3. In the present invention, it is inferred whether there is a power operation and maintenance requirement in the current power system according to the real-time state trend analysis, so as to avoid the failure impact of the power system from not being minimized, and thus the normal operation of the power system cannot be guaranteed; the state trend of the power equipment is quantitatively and qualitatively set according to the state trend analysis result. BRIEF DESCRIPTION OF THE DRAWINGS

[0039] For the convenience of those skilled in the art to understand, the present invention will be further described below with reference to the accompanying drawings.

[0040] Figure 1 It is the overall method flow chart of the present invention;

[0041] Figure 2 It is the method flow chart of the load impact evaluation in the present invention. DETAILED DESCRIPTION OF THE INVENTION

[0042] In order to enable those skilled in the art to better understand the solution of the present invention, the technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only a part of the embodiments of the present invention, rather than all the embodiments. All other embodiments obtained by those of ordinary skill in the art based on the embodiments of the present invention without making creative efforts shall fall within the protection scope of the present invention.

[0043] References herein to "embodiments" mean that the specific features, structures, or characteristics described in connection with the embodiments can be included in at least one embodiment of the invention. The phrase appears in various places in the specification and does not necessarily refer to the same embodiment, nor is it an independent or alternative embodiment mutually exclusive with other embodiments. Those skilled in the art will explicitly and implicitly understand that the embodiments described herein can be combined with other embodiments.

[0044] Please refer to Figure 1 As shown, for the operation and maintenance centralized control method of the plant power system based on data fusion, the specific process of the operation and maintenance centralized control method is as follows:

[0045] Data fusion constructs a power system data platform. Through data fusion, the operation data of each power device in the power system is collected and a system data platform is constructed; the operation data of the power system is stored through the system data platform, which is beneficial for data comparison at different stages and can effectively analyze the operation status and operation trend of the power system;

[0046] Analysis of the operation status of power devices. According to the operation data stored in the system data platform, the operation status of power devices is analyzed. Based on the operation status of power devices, it is inferred whether the current power system needs maintenance, so as to perform operation and maintenance control in a timely manner to reduce the operation failure rate of the power system. Moreover, through the operation data fusion of power devices, the fault origin of power devices can be traced, so as to perform targeted fault repair and maintenance;

[0047] Load impact assessment. When the operation status analysis is unqualified, the power devices are maintained. When some power devices in the power system are maintained, the impact on the operation load of the power system is evaluated, so as to perform efficient operation and maintenance centralized control. According to the real-time operation function of power devices, operation and maintenance centralized control is performed to reduce the abnormal power supply during the operation and maintenance of the power system, reduce the load satisfaction, and cause the operation and maintenance efficiency to decline, and the equipment faults in the power system cannot be effectively eliminated;

[0048] Based on the load impact assessment results, operation and maintenance decisions for the power system are made to ensure that real-time operation and maintenance decisions can effectively reduce the fault persistence of the power system and avoid the secondary generation of faults affecting the supply efficiency of the power system;

[0049] State trend analysis. When the operation status analysis is qualified, the state trend analysis of power devices is performed. According to the real-time state trend analysis, it is inferred whether there is a power operation and maintenance requirement in the current power system, so as to avoid the failure impact of the power system not being minimized, and thus unable to ensure the normal operation of the power system; according to the state trend analysis results, the state trend of power devices is quantitatively and qualitatively set;

[0050] The process of analyzing the operation status of power devices is as follows:

[0051] Collect power equipment within the power system, and standardize the power equipment in the corresponding order according to the working tasks of the power system. Through the coordinated operation of the power equipment, obtain the task operation process of the power system;

[0052] According to the task operation process of the power system, conduct an operation analysis on the power equipment, and mark the input data of the power system to the power equipment as allocated task data, such as the required supply duration of the power equipment, the required supply voltage value of the power equipment, etc.; and conduct an operation analysis after the power equipment receives the allocated task data, and mark the real-time output data as completed task data, such as the supply duration actually completed by the power equipment, the real-time supply voltage value of the power equipment, etc.;

[0053] Analyze the power equipment involved in the task operation process of the power system, obtain the floating value of the real-time allocated task data and the corresponding power equipment number. If the values of the allocated task data of all the power equipment involved in the current task operation process show fluctuations and the floating trends are the same, then mark the operating environment of the corresponding involved power equipment as a unified additional configuration environment;

[0054] In the unified additional configuration environment, obtain the floating amount of the completed task data of each power equipment, and obtain the floating curve of the completed task data when the power equipment executes the task operation according to the floating amount of the data at each moment. If the floating slope of the corresponding floating curve is within the current floating slope range, then infer that the operating state of the power equipment in the current unified additional configuration environment is qualified;

[0055] If the floating slope of the corresponding floating curve is within the current floating slope range, then infer that the current unified additional configuration environment affects the operating state of the power equipment, and adjust the increase amount of the allocated task data for the unified additional configuration environment according to the operating requirements of the power system. For example, 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 state of the power equipment is abnormal, and infer that the operating state of the power equipment in the current unified additional configuration environment is unqualified;

[0056] If the values of the allocated task data of all the power equipment involved in the current task operation process do not all show fluctuations, then mark the operating environment of the corresponding involved power equipment as a targeted additional configuration environment; and divide the power equipment into additional configuration equipment and non-additional configuration equipment according to the targeted additional configuration environment;

[0057] Collect the increase span of the floating amount of the completed task data of the additional configuration equipment and the decrease span of the floating frequency of the completed task data of the non-additional configuration equipment, and obtain the span numerical ratio according to the comparison of the span values. Among them, the span comparison calculates the ratio of the span values without considering the unit problem;

[0058] If the span numerical ratio exceeds the span numerical ratio threshold, then infer that the operating state of the power equipment in the targeted additional configuration environment is unqualified;

[0059] If the ratio of span values does not exceed the span value ratio threshold, it is inferred that the operating status of the power equipment in the augmented environment is qualified;

[0060] Collect the operating periods corresponding to the qualified and unqualified statuses of the power equipment, and mark them as the qualified status period and the unqualified status period respectively;

[0061] Please refer to Figure 2 As shown, perform operation and maintenance on the power equipment in the unqualified state, and at the same time evaluate the load impact during the operation and maintenance process within the unqualified status period;

[0062] During the unqualified status period, count the task operation processes where the corresponding power equipment is located. After the statistics, analyze the operating environment of the task operation processes, collect the floating increase span mean value of the allocated task data of the power equipment in the unified augmented environment within the task operation processes, and collect the increased value of the proportion of the number of power equipment with floating allocated task data in the augmented environment;

[0063] If the floating increase span mean value of the allocated task data of the power equipment in the unified augmented environment within the task operation process exceeds the span mean value threshold, or the increased value of the proportion of the number of power equipment with floating allocated task data in the augmented environment exceeds the proportion increase threshold, then set the operating environment of the current task operation process to a high-load trend; if the floating increase span mean value of the allocated task data of the power equipment in the unified augmented environment within the task operation process does not exceed the span mean value threshold, and the increased value of the proportion of the number of power equipment with floating allocated task data in the augmented environment does not exceed the proportion increase threshold, then set the operating environment of the current task operation process to a low-load trend;

[0064] Combine the load trend for impact assessment and make decisions on the operation and maintenance of the power system;

[0065] Collect the numerical decline speed of the task completion data of non-maintenance equipment after real-time operation and maintenance in the high-load trend, and the numerical amount by which the floating allocated task data of non-maintenance equipment exceeds the rated operating data of the equipment after real-time operation and maintenance in the low-load trend. The rated operating data of the equipment is consistent with the corresponding allocated task data type;

[0066] If the numerical decline speed of the task completion data of non-maintenance equipment after real-time operation and maintenance in the high-load trend exceeds the decline speed threshold, or the numerical amount by which the floating allocated task data of non-maintenance equipment exceeds the rated operating data of the equipment after real-time operation and maintenance in the low-load trend exceeds the numerical amount threshold, it is inferred that there is a high impact on the load during the operation and maintenance stage, and adjust the task operation process within the current period. Stagger the required number of power equipment for the task operation process and the real-time operation and maintenance quantity to avoid affecting the operation status of non-maintenance power equipment due to the decline in the task operation process completion efficiency;

[0067] If, after the execution of real-time operation and maintenance under a high-load trend, the numerical decline rate of the task completion data of non-operation and maintenance equipment does not exceed the decline rate threshold, and the amount by which the numerical value of the allocated task data of non-operation and maintenance equipment exceeds the numerical value of the rated operating data of the equipment after floating does not exceed the numerical amount threshold after the execution of real-time operation and maintenance under a low-load trend, it is inferred that the load has a low impact during the operation and maintenance phase. Then, the power equipment that needs to be maintained during the current operation and maintenance process is centrally controlled to ensure that the operation and maintenance progress is accelerated during the low-load impact period and the impact on the power system during the operation and maintenance phase is avoided;

[0068] During the qualified state period, perform a state trend analysis on non-operation and maintenance power equipment, collect the growth period of the allocated task data and the reduction period of the task completion data of the non-operation and maintenance power equipment, and mark the overlapping period of the growth period and the reduction period as the state risk period; mark the non-overlapping period as the non-state risk period;

[0069] Collect the corresponding numerical span ratio of the numerical decrease span of the allocated task data and the numerical increase span of the task completion data of the power equipment during the state risk period; at the same time, collect the maximum continuous duration of the adjacent non-state risk period after the end of the current state risk period;

[0070] If the corresponding numerical span ratio of the numerical decrease span of the allocated task data and the numerical increase span of the task completion data of the power equipment during the state risk period exceeds the numerical span ratio threshold, and the maximum continuous duration of the adjacent non-state risk period after the end of the current state risk period does not exceed the continuous duration threshold, it is inferred that the current state trend of the power equipment is abnormal, the current state trend of the power equipment is qualitatively defined as the equipment risk state, and the power equipment number is sent to the administrator terminal. The administrator terminal performs pre-detection of equipment fault protection during idle time according to the task operation process of the power equipment;

[0071] If the corresponding numerical span ratio of the numerical decrease span of the allocated task data and the numerical increase span of the task completion data of the power equipment during the state risk period exceeds the numerical span ratio threshold, and the maximum continuous duration of the adjacent non-state risk period after the end of the current state risk period exceeds the continuous duration threshold, it is inferred that the current state trend of the power equipment is abnormal, the current state trend of the power equipment is qualitatively defined as the task setting risk state, and the power equipment number is sent to the administrator terminal. The administrator terminal controls the floating amount of the allocated task parameters according to the task operation process of the power equipment;

[0072] If the corresponding numerical span ratio of the numerical decrease span of the allocated task data and the numerical increase span of the task completion data of the power equipment during the state risk period does not exceed the numerical span ratio threshold, and the maximum continuous duration of the adjacent non-state risk period after the end of the current state risk period exceeds the continuous duration threshold, it is inferred that the current state trend of the power equipment is normal;

[0073] If the numerical span ratio of the decrease span of the assigned task data value corresponding to the power equipment during the state risk period to the increase span of the completed task data value does not exceed the numerical 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, it is inferred that the current state trend of the power equipment is abnormal, the current state trend of the power equipment is qualitatively set as the equipment performance risk state, and the power equipment number is sent to the administrator terminal, and the administrator performs maintenance on the power equipment.

[0074] When the present invention is in use, it collects the operation data of each power equipment in the power system through data fusion and constructs a system data platform; analyzes the operation state of the power equipment, analyzes the operation state of the power equipment according to the operation data stored in the system data platform, and obtains the corresponding time periods of the qualified state and the unqualified state; evaluates the load impact, performs maintenance on the power equipment when the operation state analysis is unqualified, and evaluates the impact on the operation load of the power system when performing maintenance on some power equipment in the power system; makes a power system operation and maintenance decision according to the load impact evaluation result; analyzes the state trend, analyzes the state trend of the power equipment when the operation state analysis is qualified; quantitatively and qualitatively sets the state trend of the power equipment according to the state trend analysis result.

[0075] The preferred embodiments of the present invention disclosed above are only used to help illustrate the present invention. The preferred embodiments do not elaborate on all details, nor do they limit the present invention to the specific embodiments described. Obviously, many modifications and variations can be made according to the content of this specification. These embodiments are selected and specifically described in this specification to better explain the principle and practical application of the present invention, so that those skilled in the art can well understand and utilize the present invention. The present invention is only limited by the claims and their full scope and equivalents.

Claims

1. A method for operation and maintenance centralized control of a factory power system based on data fusion, characterized in that The specific operation and maintenance centralized control method process is as follows: Data fusion is used to construct a power system data platform, and the operation data of each power equipment in the power system is collected through data fusion to construct the system data platform; Analysis of the operation status of power equipment, based on the operation data stored in the system data platform, analyze the operation status of power equipment to obtain the corresponding time periods of qualified status and unqualified status; Load impact assessment, when the operation status analysis is unqualified, perform operation and maintenance on power equipment, and when performing operation and maintenance on some power equipment in the power system, evaluate the impact on the operation load of the power system; Make operation and maintenance decisions for the power system according to the load impact assessment results; Status trend analysis, when the operation status analysis is qualified, perform status trend analysis on power equipment; quantitatively and qualitatively set the status trend of power equipment according to the status trend analysis results.

2. The method for operation and maintenance centralized control of the plant power system based on data fusion according to claim 1, wherein, The process of analyzing the operation status of power equipment is as follows: Obtain the task operation process of the power system through the coordinated operation of power equipment; mark the input data of the power system to the power equipment as allocated task data; And perform operation analysis after the power equipment receives the allocated task data, and mark the real-time output data as completed task data; Analyze the power equipment involved in the task operation process of the power system, obtain the floating value of the real-time allocated task data and the corresponding power equipment number. If the values of the allocated task data of all the power equipment involved in the current task operation process show fluctuations and the fluctuation trends are the same, then mark the operation environment of the corresponding power equipment as a unified additional configuration environment.

3. The method for operation and maintenance centralized control of the plant power system based on data fusion according to claim 2, wherein In the unified additional configuration environment, obtain the floating amount of the completed task data of each power equipment, and obtain the floating curve of the completed task data when the power equipment performs the task operation according to the floating amount of data at each moment. If the floating slope of the corresponding floating curve is within the current floating slope range, it is inferred that the operation status of the power equipment in the current unified additional configuration 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 additional configuration environment affects the operation status of the power equipment, and the increase amount of the allocated task data for the unified additional configuration environment is adjusted downward according to the operation requirements of the power system. If the floating slope of the corresponding floating curve of the power equipment does not enter the floating slope range, it indicates that the operation status of the power equipment is abnormal, and it is inferred that the operation status of the power equipment in the current unified additional configuration environment is unqualified.

4. The method for operation and maintenance centralized control of the plant power system based on data fusion according to claim 3, wherein, If the values of the allocated task data of all the power equipment involved in the current task operation process do not all show fluctuations, then mark the operation environment of the corresponding power equipment as a targeted additional configuration environment; and divide the power equipment into additional configuration equipment and non-additional configuration equipment according to the targeted additional configuration environment; Collect the increase span of the floating amount of the completed task data of the additional configuration equipment and the decrease span of the floating frequency of the completed task data of the non-additional configuration equipment, and obtain the span value ratio according to the numerical comparison of the spans; If the span value ratio exceeds the span value ratio threshold, it is inferred that the operation status of the power equipment in the targeted additional configuration environment is unqualified; if the span value ratio does not exceed the span value ratio threshold, it is inferred that the operation status of the power equipment in the targeted additional configuration environment is qualified; Collect the operation time periods corresponding to the qualified and unqualified states of power equipment, and mark them as qualified state time periods and unqualified state time periods respectively.

5. The method for operation and maintenance centralized control of the plant power system based on data fusion according to claim 1, wherein, During the unqualified state time period, count the task operation processes where the corresponding power equipment is located. After the counting, analyze the operation environment of the task operation processes, collect the average value of the floating increase span of the allocated task data of the power equipment in the unified additional environment within the task operation process, and collect the increased value of the proportion of the number of power equipment with floating allocated task data in the additional environment. If the average value of the floating increase span of the allocated task data exceeds the span average threshold, or the increased value of the proportion of the number of power equipment with floating allocated task data exceeds the proportion increase threshold, then set the operation environment of the current task operation process to a high-load trend; if the average value of the floating increase span of the allocated task data does not exceed the span average threshold, and the increased value of the proportion of the number of power equipment with floating allocated task data does not exceed the proportion increase threshold, then set the operation environment of the current task operation process to a low-load trend.

6. The operation and maintenance centralized control method for the plant power system based on data fusion according to claim 5, characterized in that, Collect the numerical decrease speed of the task completion data of non-maintenance equipment after real-time operation and maintenance execution under high-load trend, and the numerical amount by which the allocated task data of non-maintenance equipment exceeds the rated operation data of the equipment after floating under low-load trend after real-time operation and maintenance execution. If the numerical decrease speed of the task completion data of non-maintenance equipment exceeds the decrease speed threshold, or the numerical amount by which the allocated task data of non-maintenance equipment exceeds the rated operation data of the equipment after floating exceeds the numerical amount threshold, then infer that there is a high impact on the load during the operation and maintenance stage, and adjust the task operation process within the current time period. If the numerical decrease speed of the task completion data of non-maintenance equipment does not exceed the decrease speed threshold, and the numerical amount by which the allocated task data of non-maintenance equipment exceeds the rated operation data of the equipment after floating does not exceed the numerical amount threshold, then infer that there is a low impact on the load during the operation and maintenance stage, and centrally control the power equipment that needs to be maintained during the current operation and maintenance process.

7. The operation and maintenance centralized control method for the plant power system based on data fusion according to claim 6, wherein, During the qualified state time period, conduct a state trend analysis on non-maintenance power equipment, collect the growth time period of the allocated task data and the decrease time period of the task completion data of the non-maintenance power equipment, and mark the overlapping time period of the growth time period and the decrease time period as the state risk time period. Mark the non-overlapping time period as the non-state risk time period. Collect the corresponding numerical span ratio of the numerical decrease span of the allocated task data and the numerical increase span of the task completion data of the power equipment during the state risk time period. At the same time, collect the maximum continuous duration of the adjacent non-state risk time period after the end of the current state risk time period.

8. The method for operation and maintenance centralized control of the plant power system based on data fusion according to claim 7, characterized in that, If the corresponding numerical span ratio exceeds the numerical span ratio threshold, and the maximum continuous duration of the adjacent non-state risk time period does not exceed the continuous duration threshold, then qualitatively determine the state trend of the current power equipment as an equipment risk state. If the corresponding numerical span ratio exceeds the numerical span ratio threshold, and the maximum continuous duration of the adjacent non-state risk time period exceeds the continuous duration threshold, then qualitatively determine the state trend of the current power equipment as a task setting risk state. If the corresponding numerical span ratio does not exceed the numerical span ratio threshold, and the maximum continuous duration of the adjacent non-state risk time period exceeds the continuous duration threshold, then infer that the state trend of the current power equipment is normal. If the corresponding numerical span ratio does not exceed the numerical span ratio threshold and the maximum continuous duration of adjacent non-state risk periods does not exceed the continuous duration threshold, the current power equipment status trend is qualitatively determined as the equipment performance risk status.

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