Smart operation and maintenance method and system of micro-grid system

Abstract

The present application relates to the technical field of micro-grid, in order to solve the problem of low efficiency when operating and maintaining various devices in the micro-grid system, provide a kind of intelligent operation and maintenance method and system of micro-grid system, wherein, the method comprises: the device in micro-grid system is marked, and the device after marking and corresponding operation and maintenance equipment are bound;Real-time record and transport the operation and maintenance information of each device in micro-grid system, and the operation and maintenance information is processed to obtain the corresponding operation and maintenance processing reflection form;Operation and maintenance processing reflection form is informatized, and the corresponding operation and maintenance device in information model is improved in real time through the result after processing;The effect and efficiency of the corresponding operation and maintenance device to each device are analyzed by different operation and maintenance processing reflection forms in a variety of operation and maintenance devices, and the analytical results of different levels are optimized and combined to predict and manage the working conditions of different operation and maintenance devices.

Description

Technical Field

[0001] This invention relates to the field of microgrid technology, specifically to an intelligent operation and maintenance method and an intelligent operation and maintenance system for microgrid systems. Background Technology

[0002] As global climate continues to worsen, humanity still faces a formidable mission in the search for sustainable, clean, and efficient energy sources. Among these, microgrid systems, as small, independent power systems capable of providing electricity to users in specific areas, and integrating distributed generation, energy storage, and load monitoring devices, are demonstrating enormous potential as a future energy source.

[0003] At present, the existing operation and maintenance methods of microgrid systems cannot perform comprehensive operation and maintenance and monitoring of all devices in the microgrid system, and the data generated during the operation and maintenance of different devices in the microgrid system cannot be analyzed as a whole. As a result, the efficiency of operation and maintenance of multiple different devices in the microgrid system is low. Summary of the Invention

[0004] To address the aforementioned technical problems, this invention provides an intelligent operation and maintenance method and system for microgrid systems, which can effectively improve the efficiency of operation and maintenance of various devices in microgrid systems.

[0005] The technical solution adopted in this invention is as follows:

[0006] A smart operation and maintenance method for a microgrid system includes the following steps: marking each device in the microgrid system and binding the marked devices with corresponding operation and maintenance equipment; recording the operation and maintenance information of each device in the microgrid system in real time and transmitting the recorded operation and maintenance information to a monitoring device in real time, and processing the operation and maintenance information to obtain corresponding operation and maintenance processing response forms; performing information processing on the operation and maintenance processing response forms to identify operation and maintenance interference factors, and using the processed results to perform real-time improvement processing on the operation and maintenance interference information of the corresponding operation and maintenance devices in the information model; analyzing the role and efficiency of the corresponding operation and maintenance devices in operating and maintaining each device in the microgrid system through different operation and maintenance processing response forms from various operation and maintenance devices, and optimizing and merging the analysis results from different levels to predict and manage the working status of different operation and maintenance devices.

[0007] In one embodiment of the present invention, the real-time recording of the operation and maintenance information of each device in the microgrid system, the real-time transmission of the recorded operation and maintenance information to the monitoring device, and the processing of the operation and maintenance information to obtain a corresponding operation and maintenance processing response form specifically include: collecting the devices in the microgrid system that require operation and maintenance and the timestamps of the device errors; collecting the starting timestamps of the operation and maintenance of the devices in the microgrid system that require operation and maintenance and the device error information recorded by the operation and maintenance equipment, and visually storing the specific content of the error information processing to obtain operation and maintenance processing data; transmitting the collected devices in the microgrid system that require operation and maintenance, the timestamps of the device errors, the starting timestamps of the operation and maintenance of the devices that require operation and maintenance, and the device error information to the operation and maintenance unit of the operation and maintenance template; transmitting the operation and maintenance processing data to the verification unit of the operation and maintenance template; and obtaining the operation and maintenance processing response form based on the device error information and operation and maintenance processing data transmitted to the operation and maintenance template.

[0008] In one embodiment of the present invention, the informatization processing of the operation and maintenance (O&M) processing response form for O&M interference factors, and the real-time improvement processing of the corresponding O&M devices in the information model based on the processed results, specifically includes: collecting the time stamps of device error reports and the start time stamps of the devices requiring O&M in the O&M processing response form, and calculating the planned time from the start of O&M to the end of O&M; collecting the device error reports in the O&M processing response form, converting the device error reports into digital form, and performing important component detection on the error reports, uploading the detected important components to the error report information database for investigation to obtain important components with the same instance and their related error ratios; obtaining the values ​​of the planned time, O&M time, and error ratio, optimizing and arranging them to obtain an O&M error sequence, transmitting the O&M error sequence to the corresponding O&M processing response form, and inputting the information in the O&M error sequence into the corresponding devices requiring operation in the information model for real-time improvement processing of O&M interference information.

[0009] In one embodiment of the present invention, the method of analyzing the operation and maintenance (O&M) function and efficiency of each O&M device in the microgrid system by using different O&M processing response forms from various O&M devices, and optimizing and merging the analysis results from different levels to predict and manage the working status of different O&M devices, specifically includes: sorting the O&M error sequence according to the time point of occurrence to obtain the O&M error sequence combination; obtaining the O&M time and error ratio in various O&M error sequences based on the O&M error sequence combination; calculating the O&M utilization rate of each device in the microgrid system based on the O&M time and error ratio; collecting the corresponding O&M utilization rates of all devices in the microgrid system, and labeling the average of the O&M utilization rates as the O&M utilization peak value, and constructing an O&M utilization detection model based on the O&M utilization peak value. The method involves transmitting the corresponding operation and maintenance (O&M) rates of multiple devices in the microgrid system to the O&M detection model for parsing to obtain O&M status values ​​and clarifying the O&M status of all devices in the microgrid system. Based on the O&M status, it determines whether the O&M status of devices in the microgrid system is normal or abnormal. The method calculates the O&M efficiency value of each device in the microgrid system based on the O&M time and error rate, clarifying the O&M efficiency of all devices in the microgrid system. Based on the O&M efficiency, it determines whether the O&M efficiency of devices in the microgrid system is normal or abnormal. Finally, based on the O&M rate and O&M efficiency, it calculates the corresponding comprehensive O&M index for the devices in the microgrid system and performs O&M management on various devices in the microgrid system based on the comprehensive O&M index.

[0010] An intelligent operation and maintenance system for a microgrid system includes: a binding module, which marks each device in the microgrid system and binds the marked device to the corresponding operation and maintenance equipment; an information processing module, which records the operation and maintenance information of each device in the microgrid system in real time, transmits the recorded operation and maintenance information to a monitoring device in real time, and processes the operation and maintenance information to obtain a corresponding operation and maintenance processing response form; an improvement module, which performs information processing on the operation and maintenance processing response form to identify operation and maintenance interference factors, and improves the operation and maintenance interference information of the corresponding operation and maintenance devices in the information model in real time based on the processed results; and an optimization and merging module, which analyzes the role and efficiency of the corresponding operation and maintenance devices in the operation and maintenance of each device in the microgrid system through different operation and maintenance processing response forms from various operation and maintenance devices, and optimizes and merges the analysis results at different levels to predict and manage the working status of different operation and maintenance devices.

[0011] In one embodiment of the present invention, the information processing module is specifically used for: collecting the devices requiring maintenance in the microgrid system and the timestamps of the device errors; collecting the start timestamps of maintenance for the devices requiring maintenance in the microgrid system and the device error information recorded by the maintenance equipment in the microgrid system, and visually storing the specific content of the error information processing to obtain maintenance processing data; transmitting the collected devices requiring maintenance in the microgrid system, the timestamps of the device errors, the start timestamps of maintenance for the devices requiring maintenance, and the device error information in the microgrid system to the maintenance unit of the maintenance template; transmitting the maintenance processing data to the verification unit of the maintenance template; and obtaining the maintenance processing response form based on the device error information and maintenance processing data transmitted to the maintenance template.

[0012] In one embodiment of the present invention, the improved module is specifically used for: collecting the time stamp of device error reports in the operation and maintenance processing response form, the start time stamp of the device requiring operation and maintenance, and calculating the planned time from the start of operation and maintenance to the end of operation and maintenance; collecting the device error reports in the operation and maintenance processing response form, converting the device error reports into digital form, and performing important component detection on the error reports, uploading the detected important components to the error report information database for investigation, in order to obtain important components with the same instance and their related error ratios; obtaining the values ​​of the planned time, operation and maintenance time, and error ratios and optimizing their arrangement to obtain an operation and maintenance error sequence, transmitting the operation and maintenance error sequence to the corresponding operation and maintenance processing response form, and inputting the information in the operation and maintenance error sequence into the corresponding device that needs to run in the information model for real-time improvement processing of operation and maintenance interference information.

[0013] In one embodiment of the present invention, the optimization merging module is specifically used for: sorting the operation and maintenance error sequence according to the time point of occurrence to obtain the operation and maintenance error sequence merging; obtaining the operation and maintenance time and error ratio in multiple operation and maintenance error sequences based on the operation and maintenance error sequence merging; calculating the operation and maintenance utilization rate of each device in the microgrid system based on the operation and maintenance time and error ratio; collecting the corresponding operation and maintenance utilization rates of all devices in the microgrid system, and labeling the average of the operation and maintenance utilization rates as the operation and maintenance utilization peak value; constructing an operation and maintenance utilization detection model based on the operation and maintenance utilization peak value; and transmitting the corresponding operation and maintenance utilization rates of multiple devices in the microgrid system to the operation and maintenance utilization detection model for parsing to obtain... The system calculates the operation and maintenance (O&M) status value and clarifies the corresponding O&M status of all devices in the microgrid system. Based on the O&M status, it determines whether the O&M status of the devices in the microgrid system is normal or abnormal. The system calculates the O&M efficiency value of each device in the microgrid system based on the O&M time and error rate, and clarifies the corresponding O&M efficiency of all devices in the microgrid system. Based on the O&M efficiency, it determines whether the O&M efficiency of the devices in the microgrid system is normal or abnormal. Based on the O&M activity rate and the O&M efficiency, it calculates the corresponding comprehensive O&M score for the devices in the microgrid system, and performs O&M management on various devices in the microgrid system based on the comprehensive O&M score.

[0014] The beneficial effects of this invention are:

[0015] This invention marks each device in a microgrid system and binds it to a corresponding maintenance device, records the maintenance information of each device in the microgrid system in real time, and transmits it to a monitoring device to obtain maintenance processing response forms. Then, it performs information processing on the maintenance processing response forms to identify maintenance interference factors. Based on the processed results, it performs real-time improvement processing on the maintenance interference information of the corresponding maintenance devices in the information model. Furthermore, it analyzes the role and efficiency of the corresponding maintenance devices in maintaining each device in the microgrid system by using different maintenance processing response forms from various maintenance devices, and optimizes and merges the analysis results at different levels to predict and manage the working status of different maintenance devices. Thus, it can effectively improve the efficiency of maintaining various devices in a microgrid system. Attached Figure Description

[0016] Figure 1 This is a flowchart of an intelligent operation and maintenance method for a microgrid system according to an embodiment of the present invention;

[0017] Figure 2 This is a block diagram of the intelligent operation and maintenance system of the microgrid system according to an embodiment of the present invention. Detailed Implementation

[0018] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. 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.

[0019] Figure 1 This is a flowchart of an intelligent operation and maintenance method for a microgrid system according to an embodiment of the present invention.

[0020] like Figure 1 As shown, the intelligent operation and maintenance method for a microgrid system according to an embodiment of the present invention includes the following steps:

[0021] S1 marks each device in the microgrid system and binds the marked device to the corresponding operation and maintenance equipment.

[0022] In one embodiment of the present invention, the location and current operation and maintenance information of each device can be obtained through the microgrid system, and the current operation and maintenance information of each device and the corresponding operation and maintenance equipment can be associated and bound after marking. The devices in the microgrid system may include distributed power sources, energy storage devices, energy conversion devices, related load devices, monitoring devices, and protection devices, etc.

[0023] S2 records the operation and maintenance information of each device in the microgrid system in real time, transmits the recorded operation and maintenance information to the monitoring device in real time, and processes the operation and maintenance information to obtain the operation and maintenance processing response form.

[0024] In one embodiment of the present invention, step S2 may specifically include: collecting the devices in the microgrid system that require maintenance and the timestamps of the device errors; collecting the starting timestamps of the maintenance of the devices in the microgrid system and the device error information recorded by the maintenance equipment, and visually storing the specific content of the error information processing to obtain maintenance processing data; transmitting the collected devices in the microgrid system that require maintenance, the timestamps of the device errors, the starting timestamps of the maintenance of the devices, and the device error information to the maintenance unit of the maintenance template; transmitting the maintenance processing data to the verification unit of the maintenance template; and obtaining the maintenance processing response form based on the device error information and maintenance processing data transmitted to the maintenance template.

[0025] In one embodiment of the present invention, the time stamp for the device error report generally needs to be accurate to the second level, and is detected by maintenance equipment, and the error time stamp is matched by local area network or point-to-point communication.

[0026] In one embodiment of the present invention, the operation and maintenance unit may include, but is not limited to, the device that needs to be operated and maintained, the time stamp of the device error, the starting time stamp of the device that needs to be operated and maintained, and the device error status in the microgrid system. The operation and maintenance unit can be improved according to actual requirements. The device error status may include the phenomenon, cause, and processing result.

[0027] S3 performs information processing on the operation and maintenance processing feedback forms to address operation and maintenance interference factors. Based on the processing results, it performs real-time improvement processing on the corresponding operation and maintenance devices in the information model to address operation and maintenance interference information.

[0028] In one embodiment of the present invention, step S3 may specifically include: collecting the timestamps of device error reports in the maintenance processing response form and the start timestamps of maintenance for devices requiring maintenance, and calculating the planned time from the start of maintenance to the end of maintenance and the maintenance time from the start of maintenance to the end of maintenance; collecting device error reports in the maintenance processing response form, converting the device error reports into digital form, and performing important component detection on the error reports, uploading the detected important components to the error report information database for investigation, to obtain important components of the same instance and their related error ratios; obtaining the values ​​of planned time, maintenance time, and error ratios and optimizing their arrangement to obtain a maintenance error sequence, transmitting the maintenance error sequence to the corresponding maintenance processing response form, and inputting the information in the maintenance error sequence into the information model for real-time improvement processing of maintenance interference information for the corresponding devices that need to run.

[0029] In one embodiment of the present invention, a device error information set can be preset. The device error information set can store various important components and the proportion of errors caused by important components. Each important component can correspond to an error proportion in advance. The error proportion can be used to express the errors caused by various important components in numerical form. The specific error proportion can be determined by professional personnel.

[0030] S4 analyzes the role and efficiency of the corresponding maintenance devices in maintaining each device in the microgrid system by using different maintenance processing response forms from various maintenance devices. It also optimizes and merges the analysis results from different levels to predict and manage the working status of different maintenance devices.

[0031] In one embodiment of the present invention, step S4 specifically includes: sorting the operation and maintenance error sequence according to the time point of occurrence to obtain the operation and maintenance error sequence combination; obtaining the operation and maintenance time and error ratio in various operation and maintenance error sequences based on the operation and maintenance error sequence combination; calculating the operation and maintenance utilization rate of each device in the microgrid system based on the operation and maintenance time and error ratio; collecting the corresponding operation and maintenance utilization rates of all devices in the microgrid system, and labeling the average operation and maintenance utilization rate as the operation and maintenance utilization peak value; constructing an operation and maintenance utilization detection model based on the operation and maintenance utilization peak value; and transmitting the corresponding operation and maintenance utilization rates of multiple devices in the microgrid system to the operation and maintenance utilization detection model for analysis. Obtain the operation and maintenance (O&M) status value and clarify the corresponding O&M status of all devices in the microgrid system; determine whether the O&M status of devices in the microgrid system is normal or abnormal based on the O&M status; calculate the O&M efficiency value of each device in the microgrid system based on the O&M time and error rate, and clarify the corresponding O&M efficiency of all devices in the microgrid system; determine whether the O&M efficiency of devices in the microgrid system is normal or abnormal based on the O&M efficiency; calculate the corresponding comprehensive O&M index of devices in the microgrid system based on the O&M status, and perform O&M management on various devices in the microgrid system based on the comprehensive O&M index.

[0032] Specifically, firstly, when sorting the operation and maintenance error sequence to obtain the operation and maintenance error sequence set, the total number m of the operation and maintenance error sequence set can be calculated, and the operation and maintenance time A and error ratio Q can be collected from various operation and maintenance error sequence sets. j , j = 1, 2, 3... m.

[0033] Secondly, when analyzing multiple maintenance devices, the maintenance utilization rate matched to each device can be obtained through data normalization calculation. The formula for calculating the maintenance utilization rate is as follows:

[0034]

[0035] Where x1 and x2 are proportionality coefficients, and x1 and x2 belong to (0,1), and x1 is less than or equal to x2.

[0036] In one embodiment of the present invention, the operation and maintenance function detection model can be expressed as:

[0037]

[0038] Where C' represents the peak value of the operation and maintenance effect.

[0039] Furthermore, the operational status of devices in the microgrid system can be determined as normal or abnormal by using a value of 0 or 1 for the operational status.

[0040] In one embodiment of the present invention, the operation and maintenance efficiency value K can be expressed as:

[0041]

[0042] Where A0 represents the calibrated maintenance time corresponding to the proportion of various error scenarios, and the calibrated maintenance time can be determined by the average of the times corresponding to the proportion of all past error scenarios.

[0043] Furthermore, the operational efficiency status of the devices in the microgrid system can be determined by whether the operational efficiency status is 0 or 1, indicating whether the operational efficiency status is normal or abnormal.

[0044] In one embodiment of the present invention, the comprehensive operation and maintenance number can be expressed as:

[0045] K′=x1*C+x2*D

[0046] Where x1 + x2 = 1, D is the operation and maintenance efficiency, and the expression for operation and maintenance efficiency is:

[0047]

[0048] In one embodiment of the present invention, when performing maintenance on multiple maintenance devices, all maintenance devices can be sorted by the value of the overall maintenance score, and the top K maintenance devices with the highest overall maintenance scores can be selected for targeted optimization management.

[0049] This invention, through its embodiments, marks each device in a microgrid system and binds it to a corresponding maintenance device, records the maintenance information of each device in the microgrid system in real time, and transmits it to a monitoring device to obtain a maintenance processing response form. Then, it performs information processing on the maintenance interference factors in the maintenance processing response form. Based on the processed results, it performs real-time improvement processing on the maintenance interference information of the corresponding maintenance devices in the information model. Furthermore, it analyzes the role and efficiency of the corresponding maintenance devices in maintaining each device in the microgrid system through different maintenance processing response forms from various maintenance devices, and optimizes and merges the analysis results from different levels to predict and manage the working conditions of different maintenance devices. Therefore, it can effectively improve the efficiency of maintaining various devices in a microgrid system.

[0050] To implement the intelligent operation and maintenance method for the microgrid system described in the above embodiments, this invention also proposes an intelligent operation and maintenance system for the microgrid system.

[0051] Figure 2 This is a block diagram of the intelligent operation and maintenance system of the microgrid system according to an embodiment of the present invention.

[0052] like Figure 2As shown, the intelligent operation and maintenance system for a microgrid system according to an embodiment of the present invention includes: a binding module 100, an information processing module 200, an improvement module 300, and an optimization and merging module 400. The binding module 100 is used to mark each device in the microgrid system and bind the marked device to the corresponding operation and maintenance equipment. The information processing module 200 is used to record the operation and maintenance information of each device in the microgrid system in real time, transmit the recorded operation and maintenance information to the monitoring device in real time, and process the operation and maintenance information to obtain an operation and maintenance processing response form. The improvement module 300 is used to perform information processing on the operation and maintenance processing response form to identify operation and maintenance interference factors, and improve the operation and maintenance interference information of the corresponding operation and maintenance devices in the information model in real time based on the processed results. The optimization and merging module 400 is used to analyze the role and efficiency of the corresponding operation and maintenance device in maintaining each device in the microgrid system through different operation and maintenance processing response forms from various operation and maintenance devices, and optimize and merge the analysis results at different levels to predict and manage the working status of different operation and maintenance devices.

[0053] In one embodiment of the present invention, the binding module 100 can obtain the location and current operation and maintenance information of each device in the microgrid system, and after marking, associate and bind the current operation and maintenance information of each device with the corresponding operation and maintenance equipment. The devices in the microgrid system may include distributed power sources, energy storage devices, energy conversion devices, related load devices, monitoring devices, and protection devices, etc.

[0054] In one embodiment of the present invention, the information processing module 200 may be specifically used for: collecting the devices in the microgrid system that require maintenance and the timestamps of the device errors; collecting the starting timestamps of the maintenance of the devices in the microgrid system and the device error information recorded by the maintenance equipment, and visually storing the specific content of the error information processing to obtain maintenance processing data; transmitting the collected devices in the microgrid system that require maintenance, the timestamps of the device errors, the starting timestamps of the maintenance of the devices, and the device error information to the maintenance unit of the maintenance template; transmitting the maintenance processing data to the verification unit of the maintenance template; and obtaining the maintenance processing response form based on the device error information and maintenance processing data transmitted to the maintenance template.

[0055] In one embodiment of the present invention, the time stamp for the device error report generally needs to be accurate to the second level, and is detected by maintenance equipment, and the error time stamp is matched by local area network or point-to-point communication.

[0056] In one embodiment of the present invention, the operation and maintenance unit may include, but is not limited to, the device that needs to be operated and maintained, the time stamp of the device error, the starting time stamp of the device that needs to be operated and maintained, and the device error status in the microgrid system. The operation and maintenance unit can be improved according to actual requirements. The device error status may include the phenomenon, cause, and processing result.

[0057] In one embodiment of the present invention, the improved module 300 may be specifically used to: collect the time stamp of device error reports in the operation and maintenance processing response form, the start time stamp of the device requiring operation and maintenance, and calculate the planned time from the start of operation and maintenance to the end of operation and maintenance; collect the device error information in the operation and maintenance processing response form, convert the device error information into digital form, and perform important component detection on the error information, upload the detected important components to the error information information database for investigation, so as to obtain the important components of the same instance and their related error ratio; optimize and arrange the planned time, operation and maintenance time and error ratio to obtain the operation and maintenance error sequence, transmit the operation and maintenance error sequence with the operation and maintenance processing response form, and input the information in the operation and maintenance error sequence into the corresponding device that needs to run in the information model for real-time improvement processing of operation and maintenance interference information.

[0058] In one embodiment of the present invention, a device error information set can be preset. The device error information set can store various important components and the proportion of errors caused by important components. Each important component can correspond to an error proportion in advance. The error proportion can be used to express the errors caused by various important components in numerical form. The specific error proportion can be determined by professional personnel.

[0059] In one embodiment of the present invention, the optimization merging module 400 may be specifically used to: sort the operation and maintenance error sequences according to the time point of occurrence to obtain the operation and maintenance error sequence merging; obtain the operation and maintenance time and error ratio in various operation and maintenance error sequences based on the operation and maintenance error sequence merging; calculate the operation and maintenance utilization rate of each device in the microgrid system based on the operation and maintenance time and error ratio; collect the corresponding operation and maintenance utilization rates of all devices in the microgrid system, and label the average operation and maintenance utilization rate as the operation and maintenance utilization peak value; construct an operation and maintenance utilization detection model based on the operation and maintenance utilization peak value; and transmit the corresponding operation and maintenance utilization rates of multiple devices in the microgrid system to the operation and maintenance utilization detection model for processing. The process involves analyzing and obtaining operation and maintenance (O&M) performance values ​​to determine the corresponding O&M performance of all devices in the microgrid system. Based on the O&M performance data, it is determined whether the O&M performance of each device in the microgrid system is normal or abnormal. The O&M efficiency value for each device in the microgrid system is calculated based on the O&M time and error rate, and the corresponding O&M efficiency of all devices in the microgrid system is determined. Based on the O&M performance rate and O&M efficiency, the corresponding comprehensive O&M score for each device in the microgrid system is calculated, and O&M management of various devices in the microgrid system is performed based on the comprehensive O&M score.

[0060] Specifically, firstly, when sorting the operation and maintenance error sequence to obtain the operation and maintenance error sequence set, the total number m of the operation and maintenance error sequence set can be calculated, and the operation and maintenance time A and error ratio Q can be collected from various operation and maintenance error sequence sets. j , j = 1, 2, 3... m.

[0061] Secondly, when analyzing multiple maintenance devices, the maintenance utilization rate matched to each device can be obtained through data normalization calculation. The formula for calculating the maintenance utilization rate is as follows:

[0062]

[0063] Where x1 and x2 are proportionality coefficients, and x1 and x2 belong to (0,1), and x1 is less than or equal to x2.

[0064] In one embodiment of the present invention, the operation and maintenance function detection model can be expressed as:

[0065]

[0066] Where C' represents the peak value of the operation and maintenance effect.

[0067] Furthermore, the operational status of devices in the microgrid system can be determined as normal or abnormal by using a value of 0 or 1 for the operational status.

[0068] In one embodiment of the present invention, the operation and maintenance efficiency value K can be expressed as:

[0069]

[0070] Where A0 represents the calibrated maintenance time corresponding to the proportion of various error scenarios, and the calibrated maintenance time can be determined by the average of the times corresponding to the proportion of all past error scenarios.

[0071] Furthermore, the operational efficiency status of the devices in the microgrid system can be determined by whether the operational efficiency status is 0 or 1, indicating whether the operational efficiency status is normal or abnormal.

[0072] In one embodiment of the present invention, the comprehensive operation and maintenance number can be expressed as:

[0073] K′=x1*C+x2*D

[0074] Where x1 + x2 = 1, D is the operation and maintenance efficiency, and the expression for operation and maintenance efficiency is:

[0075]

[0076] In one embodiment of the present invention, when performing maintenance on multiple maintenance devices, all maintenance devices can be sorted by the value of the overall maintenance score, and the top K maintenance devices with the highest overall maintenance scores can be selected for targeted optimization management.

[0077] In summary, this invention uses a binding module to mark each device in the microgrid system and bind it to the corresponding operation and maintenance equipment. It records the operation and maintenance information of each device in the microgrid system in real time and transmits it to a monitoring device to obtain an operation and maintenance processing response form. Then, an information processing module processes the operation and maintenance processing response form to identify operation and maintenance interference factors. An improvement module performs real-time improvement processing on the corresponding operation and maintenance devices in the information model to improve operation and maintenance interference information. Finally, an optimization and merging module analyzes the role and efficiency of the corresponding operation and maintenance devices in maintaining each device in the microgrid system, and optimizes and merges the analysis results from different levels to predict and manage the working conditions of different operation and maintenance devices. Therefore, it can effectively improve the efficiency of operating and maintaining various devices in a microgrid system.

[0078] In the description of this invention, the terms "first" and "second" are used for descriptive purposes only and should not be construed as indicating or implying relative importance or implicitly specifying the number of indicated technical features. Thus, a feature defined as "first" or "second" may explicitly or implicitly include one or more of that feature. "A plurality of" means two or more, unless otherwise explicitly specified.

[0079] In this invention, unless otherwise explicitly specified and limited, the terms "installation," "connection," "linking," and "fixing," etc., should be interpreted broadly. For example, they can refer to a fixed connection, a detachable connection, or an integral part; they can refer to a mechanical connection or an electrical connection; they can refer to a direct connection or an indirect connection through an intermediate medium; they can refer to the internal communication of two components or the interaction between two components. Those skilled in the art can understand the specific meaning of the above terms in this invention according to the specific circumstances.

[0080] In this invention, unless otherwise explicitly specified and limited, "above" or "below" the second feature can mean that the first feature is in direct contact with the second feature, or that the first feature is in indirect contact with the second feature through an intermediate medium. Furthermore, "above," "over," and "on top" of the second feature can mean that the first feature is directly above or diagonally above the second feature, or simply that the first feature is at a higher horizontal level than the second feature. "Below," "below," and "under" the second feature can mean that the first feature is directly below or diagonally below the second feature, or simply that the first feature is at a lower horizontal level than the second feature.

[0081] In the description of this specification, the references to terms such as "one embodiment," "some embodiments," "example," "specific example," or "some examples," etc., indicate that a specific feature, structure, material, or characteristic described in connection with that embodiment or example is included in at least one embodiment or example of the present invention. In this specification, the illustrative expressions of the above terms do not necessarily refer to the same embodiment or example. Moreover, the specific features, structures, materials, or characteristics described may be combined in any suitable manner in one or more embodiments or examples. Furthermore, without contradiction, those skilled in the art can combine and integrate the different embodiments or examples described in this specification, as well as the features of different embodiments or examples.

[0082] Any process or method description in the flowchart or otherwise herein can be understood as representing a module, segment, or portion of code comprising one or more executable instructions for implementing a particular logical function or process, and the scope of the preferred embodiments of the invention includes additional implementations in which functions may be performed not in the order shown or discussed, including substantially simultaneously or in reverse order depending on the functions involved, as will be understood by those skilled in the art to which embodiments of the invention pertain.

[0083] The logic and / or steps represented in the flowchart or otherwise described herein, for example, can be considered as a ordered list of executable instructions for implementing logical functions, and can be embodied in any computer-readable medium for use by, or in conjunction with, an instruction execution system, apparatus, or device (such as a computer-based system, a processor-included system, or other system that can fetch and execute instructions from, an instruction execution system, apparatus, or device). For the purposes of this specification, "computer-readable medium" can be any means that can contain, store, communicate, propagate, or transmit programs for use by, or in conjunction with, an instruction execution system, apparatus, or device. More specific examples (a non-exhaustive list) of computer-readable media include: an electrical connection having one or more wires (electronic device), a portable computer disk drive (magnetic device), random access memory (RAM), read-only memory (ROM), erasable and editable read-only memory (EPROM or flash memory), fiber optic devices, and portable optical disc read-only memory (CDROM). Alternatively, the computer-readable medium may be paper or other suitable media on which the program can be printed, since the program can be obtained electronically, for example, by optically scanning the paper or other medium, followed by editing, interpreting, or otherwise processing as necessary, and then stored in a computer memory.

[0084] It should be understood that various parts of the present invention can be implemented in hardware, software, firmware, or a combination thereof. In the above embodiments, multiple steps or methods can be implemented in software or firmware stored in memory and executed by a suitable instruction execution system. For example, if implemented in hardware, as in another embodiment, it can be implemented using any one or a combination of the following techniques known in the art: discrete logic circuits having logic gates for implementing logical functions on data signals, application-specific integrated circuits (ASICs) having suitable combinational logic gates, programmable gate arrays (PGAs), field-programmable gate arrays (FPGAs), etc.

[0085] Those skilled in the art will understand that all or part of the steps of the methods in the above embodiments can be implemented by a program instructing related hardware. The program can be stored in a computer-readable storage medium, and when executed, the program includes one or a combination of the steps of the method embodiments.

[0086] Furthermore, the functional units in the various embodiments of the present invention can be integrated into a processing module, or each unit can exist physically separately, or two or more units can be integrated into a module. The integrated module can be implemented in hardware or as a software functional module. If the integrated module is implemented as a software functional module and sold or used as an independent product, it can also be stored in a computer-readable storage medium.

[0087] Although embodiments of the present invention have been shown and described above, it is understood that the above embodiments are exemplary and should not be construed as limiting the present invention. Those skilled in the art can make changes, modifications, substitutions and variations to the above embodiments within the scope of the present invention.

Claims

1. A method for intelligent operation and maintenance of a microgrid system, characterized in that, Includes the following steps: Each device in the microgrid system is marked, and the marked devices are bound to the corresponding operation and maintenance equipment; The system records the operation and maintenance information of each device in the microgrid system in real time, transmits the recorded operation and maintenance information to the monitoring device in real time, and processes the operation and maintenance information to obtain the corresponding operation and maintenance processing response form. The operation and maintenance processing response form is processed with information technology to address operation and maintenance interference factors. Based on the processed results, the corresponding operation and maintenance devices in the information model are improved in real time to address operation and maintenance interference information. By analyzing different operation and maintenance (O&M) processing forms from various O&M devices, the role and efficiency of each O&M device in maintaining each device in the microgrid system are determined. The analysis results from different levels are then optimized and merged to predict and manage the operational status of different O&M devices. The aforementioned information processing of the operation and maintenance (O&M) processing response form for O&M interference factors, and the real-time improvement processing of the corresponding O&M devices in the information model based on the processed results, specifically includes: collecting the timestamps of device error reports in the O&M processing response form, the start timestamp of the device requiring O&M, and calculating the planned time from the need for O&M to the start of O&M and the O&M time from the start of O&M to the end of O&M; collecting the device error reports in the O&M processing response form, converting the device error reports into digital form, and performing important component detection on the error reports, uploading the detected important components to the error report information database for investigation, in order to obtain the important components of the same instance and their related error ratios; The planned time, maintenance time, and error rate are obtained and optimized to obtain a maintenance error sequence. The maintenance error sequence is transmitted to the corresponding maintenance processing response form, and the information in the maintenance error sequence is input into the corresponding device that needs to run in the information model for real-time improvement processing of maintenance interference information.

2. The intelligent operation and maintenance method for a microgrid system according to claim 1, characterized in that, The real-time recording of operation and maintenance information for each device in the microgrid system, the real-time transmission of the recorded operation and maintenance information to the monitoring device, and the processing of the operation and maintenance information to obtain corresponding operation and maintenance response forms specifically include: Collect the devices in the microgrid system that require maintenance and the timestamps of the errors reported by these devices; The starting time marker for maintenance of devices requiring operation and maintenance in the microgrid system and the error reports of devices in the microgrid system recorded by the maintenance equipment are collected, and the specific content of the error reports is visualized and stored to obtain operation and maintenance processing data. The collected data on devices requiring maintenance in the microgrid system, the timestamp of the device's error, the start timestamp of maintenance for the device requiring maintenance, and the device error information in the microgrid system are transmitted to the maintenance unit of the maintenance template. The operation and maintenance processing data is transmitted to the verification unit of the operation and maintenance template; The operation and maintenance response form is obtained based on the device error reports and operation and maintenance processing data transmitted to the operation and maintenance template.

3. The intelligent operation and maintenance method for a microgrid system according to claim 2, characterized in that, The method described above involves analyzing the role and efficiency of different maintenance processes in various maintenance devices to perform maintenance on each device in the microgrid system using different maintenance processing forms, and optimizing and merging the analysis results from different levels to predict and manage the working status of different maintenance devices. Specifically, this includes: The operation and maintenance error sequence is sorted according to the time point of occurrence to obtain the operation and maintenance error sequence combination. The operation and maintenance time and error ratio in various operation and maintenance error sequences are obtained based on the operation and maintenance error sequence combination. The operational efficiency of each device in the microgrid system is calculated based on the maintenance time and error reporting ratio. The operation and maintenance (O&M) efficiency of all devices in the microgrid system is collected, and the average value of the O&M efficiency is calibrated as the O&M efficiency peak value. An O&M efficiency detection model is constructed based on the O&M efficiency peak value. The O&M efficiency of multiple devices in the microgrid system is transmitted to the O&M efficiency detection model for analysis to obtain the O&M efficiency status value and clarify the corresponding O&M efficiency status of all devices in the microgrid system. The operational status of the devices in the microgrid system is determined as normal or abnormal based on the operational status. The operation and maintenance efficiency of each device in the microgrid system is calculated based on the operation and maintenance time and the error reporting ratio, and the corresponding operation and maintenance efficiency of all devices in the microgrid system is determined. The operational efficiency status of the devices in the microgrid system is determined to be normal or abnormal based on the operational efficiency status. Based on the operation and maintenance utilization rate and the operation and maintenance efficiency, the corresponding comprehensive operation and maintenance data for the devices in the microgrid system are calculated, and operation and maintenance management is performed on various devices in the microgrid system based on the comprehensive operation and maintenance data. Specifically, when sorting the operation and maintenance error sequence to obtain the operation and maintenance error sequence set, the total number m of the operation and maintenance error sequence set is calculated, and the operation and maintenance time A and error ratio in various operation and maintenance error sequence sets are collected through the operation and maintenance error sequence. , , Secondly, when analyzing various maintenance devices, the maintenance utilization rate of each device is calculated through data normalization. The formula for calculating the maintenance utilization rate is as follows: ； in, and It is a proportionality coefficient, and and It belongs to (0,1) and Less than or equal to , The operation and maintenance function detection model is represented as follows: ； in, This represents the peak value of the operational and maintenance workload. The operation and maintenance status of devices in the microgrid system is determined by whether the status is normal or abnormal, based on a value of 0 or 1. The operational efficiency value K is represented as: ； in, The calibrated maintenance time is determined by the average of the times corresponding to the proportions of various error scenarios over the past. The operation and maintenance efficiency status of the devices in the microgrid system is determined by whether the value is 0 or 1. The overall operation and maintenance data is expressed as follows: ； in, , For operational efficiency, the expression for operational efficiency is: 。 4. An intelligent operation and maintenance system for a microgrid system, characterized in that, include: A binding module is used to mark each device in the microgrid system and bind the marked device to the corresponding operation and maintenance equipment; The information processing module is used to record the operation and maintenance information of each device in the microgrid system in real time, transmit the recorded operation and maintenance information to the monitoring device in real time, and process the operation and maintenance information to obtain the corresponding operation and maintenance processing response form. An improvement module is used to perform information processing on the operation and maintenance processing response form to address operation and maintenance interference factors. Based on the processing results, the corresponding operation and maintenance devices in the information model are processed in real time to improve the operation and maintenance interference information. The optimization and merging module is used to analyze the role and efficiency of the corresponding operation and maintenance devices in maintaining each device in the microgrid system through different operation and maintenance processing response forms from various operation and maintenance devices, and to optimize and merge the analysis results at different levels in order to predict and manage the working status of different operation and maintenance devices. The improved module is specifically used for: collecting the timestamps of device error reports in the maintenance processing reflection form, the start timestamp of maintenance for devices requiring maintenance, and calculating the planned time from the start of maintenance to the end of maintenance; collecting device error reports in the maintenance processing reflection form, converting the device error reports into digital form, detecting important components in the error reports, and uploading the detected important components to the error report information database for investigation to obtain important components of the same instance and their related error ratios; The planned time, maintenance time, and error rate are obtained and optimized to obtain a maintenance error sequence. The maintenance error sequence is transmitted to the corresponding maintenance processing response form, and the information in the maintenance error sequence is input into the corresponding device that needs to run in the information model for real-time improvement processing of maintenance interference information.

5. The intelligent operation and maintenance system for a microgrid system according to claim 4, characterized in that, The information processing module is specifically used for: Collect the devices in the microgrid system that require maintenance and the timestamps of the errors reported by these devices; The starting time marker for maintenance of devices requiring operation and maintenance in the microgrid system and the error reports of devices in the microgrid system recorded by the maintenance equipment are collected, and the specific content of the error reports is visualized and stored to obtain operation and maintenance processing data. The collected data on devices requiring maintenance in the microgrid system, the timestamp of the device's error, the start timestamp of maintenance for the device requiring maintenance, and the device error information in the microgrid system are transmitted to the maintenance unit of the maintenance template. The operation and maintenance processing data is transmitted to the verification unit of the operation and maintenance template; The operation and maintenance response form is obtained based on the device error reports and operation and maintenance processing data transmitted to the operation and maintenance template.

6. The intelligent operation and maintenance system for a microgrid system according to claim 5, characterized in that, The optimization and merging module is specifically used for: The operation and maintenance error sequence is sorted according to the time point of occurrence to obtain the operation and maintenance error sequence combination. The operation and maintenance time and error ratio in various operation and maintenance error sequences are obtained based on the operation and maintenance error sequence combination. The operational efficiency of each device in the microgrid system is calculated based on the maintenance time and error reporting ratio. The operation and maintenance (O&M) efficiency of all devices in the microgrid system is collected, and the average value of the O&M efficiency is calibrated as the O&M efficiency peak value. An O&M efficiency detection model is constructed based on the O&M efficiency peak value. The O&M efficiency of multiple devices in the microgrid system is transmitted to the O&M efficiency detection model for analysis to obtain the O&M efficiency status value and clarify the corresponding O&M efficiency status of all devices in the microgrid system. The operational status of the devices in the microgrid system is determined as normal or abnormal based on the operational status. The operation and maintenance efficiency of each device in the microgrid system is calculated based on the operation and maintenance time and the error reporting ratio, and the corresponding operation and maintenance efficiency of all devices in the microgrid system is determined. The operational efficiency status of the devices in the microgrid system is determined to be normal or abnormal based on the operational efficiency status. Based on the operation and maintenance utilization rate and the operation and maintenance efficiency, the corresponding comprehensive operation and maintenance data for the devices in the microgrid system are calculated, and operation and maintenance management is performed on various devices in the microgrid system based on the comprehensive operation and maintenance data. Specifically, when sorting the operation and maintenance error sequence to obtain the operation and maintenance error sequence set, the total number m of the operation and maintenance error sequence set is calculated, and the operation and maintenance time A and error ratio in various operation and maintenance error sequence sets are collected through the operation and maintenance error sequence. , , Secondly, when analyzing various maintenance devices, the maintenance utilization rate of each device is calculated through data normalization. The formula for calculating the maintenance utilization rate is as follows: ； in, and It is a proportionality coefficient, and and It belongs to (0,1) and Less than or equal to , The operation and maintenance function detection model is represented as follows: ； in, This represents the peak value of the operational and maintenance workload. The operation and maintenance status of devices in the microgrid system is determined by whether the status is normal or abnormal, based on a value of 0 or 1. The operational efficiency value K is represented as: ； in, The calibrated maintenance time is determined by the average of the times corresponding to the proportions of various error scenarios over the past. The operation and maintenance efficiency status of the devices in the microgrid system is determined by whether the value is 0 or 1. The overall operation and maintenance data is expressed as follows: ； in, , For operational efficiency, the expression for operational efficiency is: 。

Images