Integrated substation remote control system based on edge calculation

Abstract

The invention discloses an integrated substation remote control system based on edge computing, which relates to the technical field of substation control and specifically comprises a historical operation data processing module, a distributed detection processing unit, a distributed cache processing unit, a multi-logic independent control unit and a database. According to the invention, a historical operation data processing module collects and processes historical operation data of an integrated substation, and sends the collected historical operation data to a database for storage; the distributed detection processing unit performs distributed detection on the integrated transformer substation, and distributes calculation tasks of real-time data acquisition to each position in the transformer substation; the distributed cache processing unit is used for processing cache data generated by a distributed computing task when the integrated substation is remotely controlled; the multi-logic independent control unit controls operation logic of equipment in the transformer substation according to remote data monitoring of the transformer substation.

Description

Technical Field

[0001] The present invention relates to the field of substation control technology, and in particular to an integrated substation remote control system based on edge computing. Background Art

[0002] Integrated substation remote control refers to the remote monitoring, control and management of the operating status, equipment parameters, etc. of the integrated substation through advanced information technology and automation technology, so as to realize the intelligent and efficient operation of the substation.

[0003] The structure and functions of the integrated substation remote control system are relatively complex and diverse. In the existing technology, it is difficult to collect data and process it during remote monitoring, and thus it is impossible to perform distributed computing on the substation. It is impossible to infer that the equipment is operating properly while also inferring the equipment coordination efficiency, which can easily lead to low remote monitoring efficiency and poor timeliness of fault tracing. In addition, it is also impossible to process the cached data generated by distributed computing to reduce the workload of remote data monitoring. Summary of the invention

[0004] The purpose of the present invention is to solve the above-mentioned problems and to propose an integrated substation remote control system based on edge computing.

[0005] The object of the present invention can be achieved by the following technical solutions: an integrated substation remote control system based on edge computing, including a historical operation data processing module, a distributed detection processing unit, a distributed cache processing unit, a multi-logic independent control unit and a database;

[0006] The historical operation data processing module is used to collect and process the historical operation data of the integrated substation, and send the collected historical operation data to the database for storage;

[0007] Distributed detection processing unit, used to perform distributed detection on the integrated substation and distribute the computing tasks of real-time data collection to various locations in the substation;

[0008] A distributed cache processing unit is used to process cache data generated by distributed computing tasks during remote control of integrated substations;

[0009] Multi-logic independent control unit is used to control the operation logic of equipment in the substation according to the remote data monitoring of the substation.

[0010] As a preferred embodiment of the present invention, the historical operation data processing module process is as follows:

[0011] Filter the data generated by the integrated substation;

[0012] Divide the data into high-frequency data and low-frequency data according to its numerical floating characteristics, and set the filter type;

[0013] De-noising is performed on the real-time collected data. When the current type of data is collected, the parameter mean of the current collected data is obtained according to calculation, and the parameter mean is set as the deviation threshold to distinguish the collected data;

[0014] Send the data retained in real time to the database.

[0015] As a preferred embodiment of the present invention, the distributed detection processing unit process is as follows:

[0016] Electrical parameter monitoring, collecting electrical floating data and grid control data;

[0017] If the electrical floating data exceeds the floating span threshold, the corresponding device is marked as a high fault trend device;

[0018] If the power grid control data exceeds the buffer time increase threshold, the corresponding device is marked as a high-impact device;

[0019] If the electrical floating data does not exceed the floating span threshold, or the power grid control data does not exceed the buffer time increase threshold, the current device is marked as an electrical safety device.

[0020] As a preferred embodiment of the present invention, the electrical floating data and the grid control data are respectively the increase in the floating span of the electrical parameters when the electrical parameters are within the rated range of the current equipment and the increase in the buffer time of the grid dispatching control of the electrical parameter floating when the electrical parameters are not within the rated range of the current equipment.

[0021] As a preferred embodiment of the present invention, non-electrical parameter monitoring, equipment non-electrical parameters are compared with environmental non-electrical parameters, and if the types overlap, they are marked as parameters of external influence of the same type; if the types overlap, they are marked as parameters of external influence of different types;

[0022] Collect the same type of impact information and non-same type of risk information. If the same type of impact information exceeds the floating speed threshold, the current internal device is marked as a high environmental impact device; if the same type of risk information exceeds the type quantity threshold, the current internal device is marked as a high environmental risk device;

[0023] The same type of impact information and non-same type of risk information are respectively the floating speed of the same type of external impact parameters of internal equipment exceeding the set threshold range due to environmental changes, and the number of types of non-electrical parameters affected by the environment during the floating stage of the non-same type of external impact parameters of internal equipment.

[0024] As a preferred embodiment of the present invention, a combination is performed according to the substation operation logic, and the coordinated operation logic is set. According to the real-time operation parameters of each device in the coordinated operation logic, electrical influence parameters and non-electrical influence parameters are set as operation interference information; if the real-time coordinated operation logic changes, it is inferred that the substation operation risk has increased, and the corresponding equipment is marked as the source; if the real-time coordinated operation logic does not change, it is inferred that the substation is operating normally.

[0025] As a preferred embodiment of the present invention, the process of the distributed cache processing unit is as follows:

[0026] Set cache data, collect cache memory information and cache impact information;

[0027] If the cache memory information exceeds the memory share threshold, the collected data in the corresponding cache data is marked as low-occupancy data; if the cache impact information exceeds the span reduction threshold, the collected data in the corresponding cache data is marked as low-impact data.

[0028] As a preferred embodiment of the present invention, the real-time cache information is compared. If the corresponding data volume of low-occupancy data and low-impact data shows an increasing trend at any time, the cache data is cleaned, and the cleaning standard is mainly based on the position of the data value in the data range. If the amount of non-impact data in the current data range exceeds the set amount, the time when the data is generated is used as the cleaning standard.

[0029] As a preferred embodiment of the present invention, the process of the multi-logic independent control unit is as follows:

[0030] Sequencing of equipment operation procedures and building substation operation logic;

[0031] The operation logic type is obtained, and according to the types of devices used in the operation logic in multiple operation scenarios, the devices used by multiple types of operation logics without overlapping are marked as independent devices; according to the operation logic type of the independent device, two or more operation logics are executed at the same time, that is, marked as preset independent control logic;

[0032] The ratio of the usage cycle to the total operation logic cycle is collected, and the operation cycle time periods of the overlapping devices are distinguished. If the operation cycle time distinction does not change the device execution order of all independent control logics, and there is no delay in the corresponding operation cycle of the independent control logic, the preset independent control logic is set as the full-time independent control logic;

[0033] If the time period of the operation cycle distinguishes and changes the device execution order of any independent control logic, or there is a delay in the independent control logic corresponding to the operation cycle, the preset independent control logic is set to the timely independent control logic.

[0034] As a preferred embodiment of the present invention, when the independent control logic is executed in a timely manner, overlapping device types are monitored according to the preset independent control logic type. If the number of overlapping device types is lower than the set type number threshold, and there is no overlapping conflict period in the operation cycle of the overlapping device types, the independent control logic is executed. Conversely, if the number of overlapping device types is higher than the set type number threshold, or there is an overlapping conflict period in the operation cycle of the overlapping device types, the independent control logic is not executed.

[0035] Compared with the prior art, the present invention has the following beneficial effects:

[0036] 1. In the present invention, high-frequency signals and low-frequency signals are targetedly controlled when different types of data are continuously collected. Specifically, low-frequency signals are suppressed when high-frequency data is collected; high-frequency signals are suppressed when low-frequency data is collected. Low-pass filters can be used to filter out high-frequency environmental noise interference, and high-pass filters can be used to remove low-frequency drift or baseline noise in the signal to improve the quality of data and the accuracy of subsequent analysis. For example, in a substation, current and voltage signals may be interfered by harmonics in the power system. Filtering can make the signal purer and improve the efficiency of storage space occupancy.

[0037] Distributed computing is performed on the internal equipment of the substation. The operating status of the internal equipment is inferred by comparing the collected data. When ensuring the operating status of a single internal device, multiple devices are tested in coordination to accurately infer the overall operating efficiency of the substation. This promotes the efficiency of remote monitoring of the substation, enables operation control based on distributed processing, and timely traces the source of faults in abnormal situations, allowing for more accurate and rapid fault repair.

[0038] 2. In the present invention, cache data generated by distributed computing tasks are processed during remote control of the integrated substation. The data processing accuracy of the remote control of the integrated substation is improved through cache processing, and a large amount of cache data is avoided from being generated by continuous remote control, which increases the workload of remote data transmission and data processing. By analyzing and cleaning the cache data characteristics, useless data can be screened out without affecting remote data monitoring, thereby reducing the workload of remote data monitoring.

[0039] The operation logic is independently controlled through the real-time operation scenario of the substation, the probability of equipment occupancy in the substation is reduced, the equipment operation logic is distributed and controlled according to the scenario requirements, and the execution efficiency of the independent operation logic is ensured through remote monitoring. The independent logic monitoring can be carried out in time through operation parameter monitoring to intervene in time when an abnormality occurs; and the setting accuracy of the independent logic can also be improved through monitoring. BRIEF DESCRIPTION OF THE DRAWINGS

[0040] In order to facilitate understanding by those skilled in the art, the present invention is further described below with reference to the accompanying drawings.

[0041] Figure 1 It is a principle block diagram of the present invention;

[0042] Figure 2 The following is the implementation step flow of the historical operation data processing module in the present invention;

[0043] Figure 3 The following is a flow chart of the implementation steps of the distributed detection processing unit in the present invention. DETAILED DESCRIPTION

[0044] In order to enable those skilled in the art to better understand the scheme of the present invention, the technical scheme in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0045] Reference to "embodiments" herein means that a particular feature, structure, or characteristic described in conjunction with the embodiments may be included in at least one embodiment of the present invention. The appearance of the phrase in various places in the specification does not necessarily refer to the same embodiment, nor is it an independent or alternative embodiment that is mutually exclusive with other embodiments. It is explicitly and implicitly understood by those skilled in the art that the embodiments described herein may be combined with other embodiments.

[0046] See also Figure 1 As shown in the figure, the integrated substation remote control system based on edge computing has the following specific system module units: historical operation data processing module, distributed detection processing unit, distributed cache processing unit, multi-logic independent control unit and database;

[0047] The historical operation data processing module is connected to the distributed detection processing unit and the database respectively, the distributed detection processing unit is connected to the distributed cache processing unit, the distributed cache processing unit is connected to the multiple logical independent control units, and the multiple logical independent control units are also connected to the database;

[0048] The historical operation data processing module is used to collect and process the historical operation data of the integrated substation, and send the collected historical operation data to the database for storage;

[0049] It is necessary to further explain that the historical operation data processing module implementation steps flow chart is as follows Figure 2 As shown;

[0050] As a preferred feasibility example, various intelligent devices in the integrated substation, such as transformers, smart meters and other devices, are collected through sensors to collect data on the operation of the intelligent devices, and the device name and the time when the data is generated and collected are annotated;

[0051] Filter the data generated by the integrated substation;

[0052] According to the numerical floating characteristics of the data, it is divided into high-frequency data and low-frequency data, and the filter type is set when the corresponding type of data is continuously collected, that is, a high-pass filter is set for high-frequency data; a low-pass filter is set for low-frequency data; the purpose is to carry out targeted control of high-frequency signals and low-frequency signals when different types of data are continuously collected, specifically suppressing low-frequency signals when collecting high-frequency data; suppressing high-frequency signals when collecting low-frequency data; a low-pass filter can be used to filter out high-frequency environmental noise interference, and a high-pass filter can be used to remove low-frequency drift or baseline noise in the signal; to improve the quality of the data and the accuracy of subsequent analysis. For example, in a substation, current and voltage signals may be affected by interference such as harmonics in the power system. Filtering can make the signal purer and improve the efficiency of storage space occupancy;

[0053] When continuously collecting different types of data, the real-time collected data is denoised. When collecting the current type of data, the parameter mean of the current collected data is obtained by calculation, and the collected data is distinguished according to the parameter mean set as the deviation threshold. That is, when the deviation between the parameter of the real-time collected data and the parameter mean is lower than the deviation threshold, the corresponding parameter data is retained. Otherwise, the corresponding parameter data is monitored. If the deviation of the current parameter data does not appear at the subsequent collection time, the current parameter data is deleted.

[0054] The real-time retained data is sent to the database, and the data stored in the database is continuously increased according to the increase of substation operation time;

[0055] It needs to be further explained that the distributed detection processing unit implementation steps flow chart is as follows Figure 3 As shown;

[0056] Distributed detection and processing unit, used for distributed detection of integrated substations, assigning computing tasks of real-time data collection to various locations in the substation according to edge computing technology, performing distributed computing and processing on internal equipment of the substation, inferring the operating status of internal equipment by comparing collected data, and performing coordinated detection of multiple devices when ensuring the operating status of a single internal device, so as to accurately infer the overall operating efficiency of the substation, promote the efficiency of remote monitoring of the substation, and be able to perform operation control according to distributed processing, and timely trace the source of faults in the event of an abnormality, so as to repair faults more accurately and quickly;

[0057] The electrical parameters of the equipment at each location in the integrated substation are monitored. The increase in the floating span of the electrical parameters when the electrical parameters are within the rated range of the current equipment and the increase in the buffering time of the electrical parameters floating of the grid dispatching control when the electrical parameters are not within the rated range of the current equipment are collected based on the real-time equipment monitoring. The electrical parameters are represented by parameters such as voltage and current, and are marked as electrical floating data and grid control data respectively.

[0058] Compare the collected data:

[0059] If the floating span increase of the electrical parameter exceeds the floating span threshold when the electrical parameter is within the current device rated range, the corresponding device is marked as a high fault tendency device;

[0060] If the increase in the buffering time for the electrical parameter floating controlled by the grid dispatching exceeds the buffering time increase threshold when the electrical parameter is not within the rated range of the current device, the corresponding device is marked as a high-impact device;

[0061] If the increase in the floating span of the electrical parameters does not exceed the floating span threshold when the electrical parameters are within the rated range of the current device, or if the increase in the buffering time of the floating electrical parameters controlled by the grid dispatching does not exceed the buffering time increase threshold when the electrical parameters are not within the rated range of the current device, the current device is marked as an electrical safety device;

[0062] It should be explained that the floating span threshold and the buffer time increase threshold are thresholds set by personnel in this field based on the historical operation process. If a substation failure occurs when the floating span exceeds a certain value during the historical operation period, the current value is the set threshold;

[0063] At the same time, non-electrical parameters of equipment at each location are monitored, and non-electrical parameters of equipment in the integrated substation are compared with environmental non-electrical parameters. If the types overlap, the current non-electrical parameters are marked as parameters of external influence of the same type; if the types overlap, the current non-electrical parameters are marked as parameters of external influence of different types; it should be explained that non-electrical parameters are represented by parameters such as temperature, humidity, and vibration frequency;

[0064] The floating speed of the same type of external influencing parameters of the internal equipment exceeding the set threshold range with the change of the environment during the operation of the integrated substation, as well as the number of types of non-electrical parameters affected by the environment during the floating stage of the non-same type of external influencing parameters of the internal equipment are collected, and the floating speed of the same type of external influencing parameters of the internal equipment exceeding the set threshold range with the change of the environment during the operation of the integrated substation is marked as the same type of impact information; the number of types of non-electrical parameters affected by the environment during the floating stage of the non-same type of external influencing parameters of the internal equipment is marked as non-same type of risk information; it should be explained that the impact between the parameters is obtained based on multiple monitoring by personnel in this field during the historical operation process; at the same time, the corresponding thresholds are the results of parameter floating monitoring during the historical operation process;

[0065] If the floating speed of the same type of external impact parameters of internal equipment exceeds the set threshold range due to environmental changes during the operation of the integrated substation, the current internal equipment will be marked as a high environmental impact equipment;

[0066] If the number of non-electrical parameter types affected by the environment during the floating phase of the internal device's parameters exceeds the threshold, the current internal device will be marked as a high-risk environmental device.

[0067] The various types of equipment in the integrated substation are combined according to the substation operation logic, and the combined operation logic is set according to the combination. According to the real-time operation parameters of each device in the coordinated operation logic, the electrical influence parameters and non-electrical influence parameters are set as the operation interference information, that is, the influence parameters are the parameters when the corresponding parameters exceed the set range; according to the operation interference information and the types of each device, the change of the real-time operation status of the equipment in the real-time coordinated operation logic is inferred. If the real-time coordinated operation logic changes, it is inferred that the substation operation risk has increased, and the corresponding equipment is marked as the source; the substation inspection personnel conduct substation control through remote data collection, that is, the coordinated operation logic prediction can also be carried out according to the real-time operation interference information when there is no risk;

[0068] If the real-time coordinated operation logic does not change, it is inferred that the substation is operating normally;

[0069] Distributed cache processing unit, used for processing cache data generated by distributed computing tasks during remote control of integrated substations. The cache processing improves the accuracy of data processing for remote control of integrated substations, avoids the generation of a large amount of cache data by continuous remote control, and increases the workload of remote data transmission and data processing. By analyzing and cleaning the cache data characteristics, useless data can be screened out without affecting remote data monitoring, thus reducing the workload of remote data monitoring.

[0070] The collected data such as non-electrical parameters, electrical parameters and operation interference information in the integrated substation are uniformly set as cache data;

[0071] The memory ratio of the collected data in the cached data to the low-span floating values ​​in the same range and the total data volume. It should be explained that the same range means that the floating range of non-electrical parameters or electrical parameters is within the rated range, and the low span means that the floating interval of the parameter value is low and does not have an impact on the equipment operation trend.

[0072] The amount of reduction in parameter floating span caused by the influencing parameters corresponding to the collected data in the cache data is obtained. It needs to be explained that the parameter floating caused by the influencing parameters is such as operation interference information. However, with the running-in of substation equipment and the performance upgrade of equipment, the operation interference information at the historical moment has a decreasing or no effect on the floating span of the equipment operating parameters at the current moment. Therefore, such cache data does not need to be retained;

[0073] The memory ratio of the value of the low-span floating in the same range corresponding to the collected data in the cache data to the total data volume and the reduction amount of the parameter floating span caused by the affected parameters corresponding to the collected data in the cache data are marked as cache memory information and cache impact information respectively;

[0074] If the memory share of the value of the low-span floating value in the same range of the collected data in the cache data and the total data volume exceeds the memory share threshold, the collected data in the corresponding cache data will be marked as low-occupancy data;

[0075] If the parameter floating span reduction amount caused by the corresponding influencing parameter of the collected data in the cache data exceeds the span reduction amount threshold, the corresponding collected data in the cache data is marked as low-impact data;

[0076] Compare the cache information accumulated in real time during the current remote data monitoring period. If the corresponding data volume of low-occupancy data and low-impact data at any time shows an increasing trend, the cache data will be cleaned up, and the cleaning standard is mainly based on the position of the data value in the data range. If the amount of non-impact data in the current data range exceeds the set amount, the data generation time will be used as the cleaning standard;

[0077] The multi-logic independent control unit is used to control the operation logic of the equipment in the substation according to the remote data monitoring of the substation, and independently control the operation logic through the real-time operation scenario of the substation, so as to reduce the probability of equipment operation occupancy in the substation, and distribute the operation logic of the equipment according to the scenario requirements. The execution efficiency of the independent operation logic is ensured through remote monitoring, and the independent logic monitoring can be carried out in time through the operation parameter monitoring to intervene in time when abnormalities occur; the setting accuracy of the independent logic can also be improved through monitoring;

[0078] According to the equipment in the substation and the actual operation scenarios, the equipment operation process is sorted and the substation operation logic is constructed. The operation scenarios are the scenarios faced by substations such as power supply, distribution, and dispatching;

[0079] The operation logic type is obtained according to the actual operation scenario, and according to the types of devices used in the operation logic under multiple operation scenarios, the devices with non-overlapping operation logics of multiple types are marked as independent devices; according to the operation logic type of the independent device, two or more operation logics are executed at the same time, that is, marked as preset independent control logic;

[0080] Based on the ratio of the usage cycle of overlapping devices in the preset independent control logic to the total operation logic cycle;

[0081] The overlapping devices of the preset independent control logic are distinguished by the time periods of the operation cycle. If the time period distinction of the operation cycle does not change the execution order of the devices of all the independent control logics, and there is no delay in the corresponding operation cycle of the independent control logic, the preset independent control logic is set as the full-time independent control logic, and the status of the real-time running devices is monitored when the full-time independent control logic is running, and the operation status is sent remotely; the execution of the independent control logic is controlled in the event of an abnormality;

[0082] If the time period of the operation cycle distinguishes and changes the device execution order of any independent control logic, or there is a delay in the corresponding operation cycle of the independent control logic, the preset independent control logic is set to the timely independent control logic; the overlapping device type is monitored according to the preset independent control logic type, if the number of overlapping device types is lower than the set type number threshold, and there is no overlapping conflict period in the operation cycle of the overlapping device type, the independent control logic is executed, otherwise, if the number of overlapping device types is higher than the set type number threshold, or there is an overlapping conflict period in the operation cycle of the overlapping device type, the independent control logic is not executed;

[0083] The obtained full-time independent control logic and timely independent control logic and the corresponding execution time period are sent to the database for storage;

[0084] When the present invention is in use, the historical operation data processing module collects and processes the historical operation data of the integrated substation, and sends the collected historical operation data to the database for storage; the distributed detection processing unit performs distributed detection on the integrated substation, and distributes the calculation tasks of the real-time collected data to various locations in the substation; the distributed cache processing unit processes the cache data generated by the distributed computing tasks when the integrated substation is remotely controlled; and the multi-logic independent control unit controls the operation logic of the equipment in the substation according to the remote data monitoring of the substation.

[0085] The preferred embodiments of the present invention disclosed above are only used to help explain the present invention. The preferred embodiments do not describe all the details in detail, nor do they limit the invention to only specific implementation methods. Obviously, many modifications and changes can be made according to the content of this specification. This specification selects and specifically describes these embodiments in order to better explain the principles and practical applications of the present invention, so that those skilled in the art can understand and use the present invention well. The present invention is limited only by the claims and their full scope and equivalents.

Claims

1. Integrated substation remote control system based on edge computing, characterized in that: It includes a historical operation data processing module, a distributed detection processing unit, a distributed cache processing unit, a multi-logic independent control unit and a database; The historical operation data processing module is used to collect and process the historical operation data of the integrated substation, and send the collected historical operation data to the database for storage; Distributed detection processing unit, used to perform distributed detection on the integrated substation and distribute the computing tasks of real-time data collection to various locations in the substation; A distributed cache processing unit is used to process cache data generated by distributed computing tasks during remote control of the integrated substation; Multi-logic independent control unit is used to control the operation logic of equipment in the substation according to the remote data monitoring of the substation.

2. The integrated substation remote control system based on edge computing according to claim 1 is characterized in that: The process of historical operation data processing module is as follows: Filter the data generated by the integrated substation; Divide the data into high-frequency data and low-frequency data according to its numerical floating characteristics, and set the filter type; De-noising is performed on the real-time collected data. When the current type of data is collected, the parameter mean of the current collected data is obtained according to calculation, and the parameter mean is set as the deviation threshold to distinguish the collected data; Send the data retained in real time to the database.

3. The integrated substation remote control system based on edge computing according to claim 1 is characterized in that: The distributed detection processing unit process is as follows: Electrical parameter monitoring, collecting electrical floating data and grid control data; If the electrical floating data exceeds the floating span threshold, the corresponding device is marked as a high fault trend device; If the power grid control data exceeds the buffer time increase threshold, the corresponding device is marked as a high-impact device; If the electrical floating data does not exceed the floating span threshold, or the power grid control data does not exceed the buffer time increase threshold, the current device is marked as an electrical safety device.

4. The integrated substation remote control system based on edge computing according to claim 3 is characterized in that: The electrical floating data and the grid control data are respectively the increase in the floating span of the electrical parameters when the electrical parameters are within the rated range of the current equipment and the increase in the buffer time of the grid dispatching control electrical parameter floating when the electrical parameters are not within the rated range of the current equipment.

5. The integrated substation remote control system based on edge computing according to claim 4 is characterized in that: Non-electrical parameter monitoring: compare the non-electrical parameters of the equipment with the non-electrical parameters of the environment. If the types overlap, they will be marked as parameters of the same type; if the types overlap, they will be marked as parameters of different types. Collect the same type of impact information and non-same type of risk information. If the same type of impact information exceeds the floating speed threshold, the current internal device is marked as a high environmental impact device; if the same type of risk information exceeds the type quantity threshold, the current internal device is marked as a high environmental risk device; The same type of impact information and non-same type of risk information are respectively the floating speed of the same type of external impact parameters of internal equipment exceeding the set threshold range due to environmental changes, and the number of types of non-electrical parameters affected by the environment during the floating stage of the non-same type of external impact parameters of internal equipment.

6. The integrated substation remote control system based on edge computing according to claim 5 is characterized in that: According to the substation operation logic, the substation is combined and set as the coordinated operation logic. According to the real-time operation parameters of each device in the coordinated operation logic, the electrical influence parameters and the non-electrical influence parameters are set as the operation interference information; If the real-time coordinated operation logic changes, it is inferred that the substation operation risk has increased, and the corresponding equipment is marked as the source; If the real-time coordinated operation logic does not change, it is inferred that the substation is operating normally.

7. The integrated substation remote control system based on edge computing according to claim 1 is characterized in that: The process of the distributed cache processing unit is as follows: Set cache data, collect cache memory information and cache impact information; If the cache memory information exceeds the memory share threshold, the collected data in the corresponding cache data is marked as low-occupancy data; if the cache impact information exceeds the span reduction threshold, the collected data in the corresponding cache data is marked as low-impact data.

8. The integrated substation remote control system based on edge computing according to claim 7 is characterized in that: The real-time cache information is compared. If the corresponding data volume of low-occupancy data and low-impact data at any time shows an increasing trend, the cache data is cleaned up, and the cleaning standard is mainly based on the position of the data value in the data range. If the amount of non-impact data in the current data range exceeds the set amount, the time when the data is generated is used as the cleaning standard.

9. The integrated substation remote control system based on edge computing according to claim 1, characterized in that: The process of multiple logic independent control units is as follows: Sequencing of equipment operation procedures and building substation operation logic; The operation logic type is obtained, and according to the types of devices used in the operation logic in multiple operation scenarios, the devices used by multiple types of operation logics without overlapping are marked as independent devices; according to the operation logic type of the independent device, two or more operation logics are executed at the same time, that is, marked as preset independent control logic; The ratio of the usage cycle to the total operation logic cycle is collected, and the operation cycle time periods of the overlapping devices are distinguished. If the operation cycle time distinction does not change the device execution order of all independent control logics, and there is no delay in the corresponding operation cycle of the independent control logic, the preset independent control logic is set as the full-time independent control logic; If the time period of the operation cycle distinguishes and changes the device execution order of any independent control logic, or there is a delay in the independent control logic corresponding to the operation cycle, the preset independent control logic is set to the timely independent control logic.

10. The integrated substation remote control system based on edge computing according to claim 9 is characterized in that: When the independent control logic is executed at the appropriate time, the overlapping device types are monitored according to the preset independent control logic type. If the number of overlapping device types is lower than the set type number threshold, and there is no overlapping conflict period in the operation cycle of the overlapping device types, the independent control logic is executed. Conversely, if the number of overlapping device types is higher than the set type number threshold, or there is an overlapping conflict period in the operation cycle of the overlapping device types, the independent control logic is not executed.

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