Low-voltage power supply supervision system based on regulation and control cloud platform

Abstract

The invention discloses a low-voltage power supply supervision system based on a regulation and control cloud platform, which belongs to the technical field of low-voltage power supply supervision and comprises a platform demand module, a display module and a platform regulation module. The platform demand module is used for determining each regulation and control cloud platform according to the supervision demand of a user on the low-voltage power supply, and performing supervision processing on the low-voltage power supply according to each regulation and control cloud platform; the display module is used for connecting each regulation and control cloud platform and summarizing and displaying the display data of each regulation and control cloud platform; the platform adjustment module is used for monitoring and adjusting each regulation and control cloud platform, performing real-time operation monitoring on each regulation and control cloud platform, and obtaining an operation monitoring result of each regulation and control cloud platform; when the monitoring result is that the operation is abnormal, marking the regulation and control cloud platform which correspondingly operates abnormally as an abnormal cloud platform, and performing supervision switching on a supervision task which the abnormal cloud platform is responsible for; and recovering supervision until the operation monitoring result is normal operation.

Description

Technical Field

[0001] The present invention belongs to the technical field of low-voltage power supply supervision, and in particular is a low-voltage power supply supervision system based on a control cloud platform. Background Art

[0002] With the rapid development of smart grid technology, the low-voltage power supply supervision system, as an important part of power grid management, has become increasingly important. The low-voltage power supply supervision system based on the control cloud platform integrates advanced technologies such as cloud computing and the Internet of Things to achieve remote monitoring, data analysis and intelligent control of low-voltage power supply equipment, significantly improving the efficiency and safety of power grid management. However, in practical applications, the system also faces some technical challenges, especially the high dependence of the system and the processing efficiency of customized requirements.

[0003] At present, the low-voltage power supply supervision system based on the control cloud platform is highly dependent on the cloud computing platform. Although this high dependence brings convenience to data processing and resource sharing, it also introduces potential risks. Once the cloud computing platform fails or becomes unstable, such as network interruption or cloud server downtime, it will directly cause the system to fail to work properly, thereby affecting the monitoring and control capabilities of the power grid. This failure will not only cause data loss, but may also pose a threat to the safe and stable operation of the power grid.

[0004] With the increasing and changing needs of users for low-voltage power supply supervision systems, customization has become an important trend in the development of the system. However, after the system is established, it is still faced with demand change analysis. If the platform conducts demand analysis and determines whether adjustments are necessary, it may involve the risk of leakage of user sensitive information, because the demand analysis process requires an in-depth understanding of the user's actual needs and operating conditions. At the same time, the platform also needs to have the corresponding professional capabilities to accurately judge and adjust the system configuration, which places high demands on the platform's technical strength and service level. On the other hand, if the user side conducts manual analysis and adjusts the system configuration, there are problems of inefficiency and error. Users need to spend a lot of time and energy on data collection, statistical analysis and program formulation, and due to the limitations of professional knowledge and skills, omissions and misjudgments are prone to occur. This not only affects the system's ability to respond in a timely manner and accurately regulate and control, but may also increase the system's maintenance cost and complexity.

[0005] Based on this, in order to solve the above problems or part of the problems, the present invention provides a low-voltage power supply supervision system based on a control cloud platform. Summary of the invention

[0006] In order to solve the problems existing in the above-mentioned scheme, the present invention provides a low-voltage power supply monitoring system based on a control cloud platform.

[0007] The purpose of the present invention can be achieved through the following technical solutions:

[0008] A low-voltage power supply supervision system based on a control cloud platform includes a platform demand module, a display module and a platform adjustment module;

[0009] The platform requirement module is used to determine each control cloud platform according to the user's supervision requirements for the low-voltage power supply, and perform supervision processing of the low-voltage power supply according to each control cloud platform.

[0010] Furthermore, the method for determining the control cloud platform includes:

[0011] Obtaining regulatory requirements, which include power regulatory requirements and platform control requirements; determining each candidate platform service provider based on the regulatory requirements, screening each candidate platform service provider, and determining each target platform service provider; sending the power regulatory requirements to each target platform service provider, and having each target platform service provider set up a corresponding control cloud platform.

[0012] Furthermore, the method for determining the platform service provider to be selected includes:

[0013] A demand matching model is established according to regulatory requirements. The expression of the demand matching model is:

[0014]

[0015] Wherein: si is the input data, i=1, 2, ..., n, n is a positive integer; the input data is the corresponding service provider information; the output data is the demand matching value XP (si); the demand matching value is 1 or 0;

[0016] The service provider information of each service provider is obtained, and the service provider information is analyzed through a demand matching model to obtain a demand matching value of each service provider; and each candidate platform service provider is determined according to each demand matching value.

[0017] Furthermore, the method for screening the candidate platform service providers includes:

[0018] Sending the platform regulation requirements to all the candidate platform service providers, and eliminating the candidate platform service providers that do not meet the platform regulation requirements;

[0019] Extracting cloud features of each candidate platform service provider according to the information of each candidate platform service provider, summarizing the cloud features of each candidate platform service provider, and obtaining a cloud feature set of each candidate platform service provider;

[0020] Conduct simulation evaluation on each cloud feature set to obtain corresponding simulation evaluation results; classify each candidate platform service provider according to the simulation evaluation results to obtain each service classification;

[0021] The candidate platform service providers corresponding to each service category are displayed to the user to determine the target platform service providers.

[0022] The display module is used to connect to each control cloud platform and summarize and display the display data of each control cloud platform.

[0023] Furthermore, the display module displays data according to a preset display mode.

[0024] The platform adjustment module is used to monitor and adjust each control cloud platform, perform real-time operation monitoring on each control cloud platform, and obtain the operation monitoring results of each control cloud platform, wherein the operation monitoring results include normal operation and abnormal operation;

[0025] When the operation monitoring results of each control cloud platform are all normal, no corresponding operation is performed;

[0026] When the monitoring result is an abnormal operation, the corresponding control cloud platform with abnormal operation will be marked as an abnormal cloud platform, and the supervision task that the abnormal cloud platform is responsible for will be switched; until the operation monitoring result is normal, the supervision will be restored.

[0027] Furthermore, the method for monitoring the operation of each control cloud platform includes:

[0028] An operation monitoring model is established, and the expression of the operation monitoring model is:

[0029]

[0030] Where: q is the input data, which is the operation data of the corresponding control cloud platform; the output data is the operation monitoring value YP(q), which is 1 or 0;

[0031] The operation monitoring model is used to monitor the operation of each control cloud platform to obtain the corresponding operation monitoring value; the corresponding operation monitoring result is determined according to the operation monitoring value obtained in real time.

[0032] Furthermore, the method of switching the supervision task that the abnormal cloud platform is responsible for includes:

[0033] Mark the control cloud platform that is running normally according to the operation monitoring results as the platform to be switched; identify the supervision tasks that the abnormal cloud platform is responsible for and mark them as supervision switching tasks; determine the switching combination methods according to the supervision switching tasks;

[0034] Evaluate each switching combination to obtain the corresponding switching duration and regulatory impact value;

[0035] Calculate the corresponding mode evaluation value according to the formula PA = b1 × YZ + b2 × PK (TQ, X1);

[0036] Where: PA is the method evaluation value; b1 and b2 are both proportionality coefficients, and the value ranges are 0 < b1 ≤ 1 and 0 < b2 ≤ 1; YZ is the supervision influence value; TQ is the switching duration; X1 is the threshold value;

[0037] Select the switching combination method with the smallest method evaluation value as the target combination method, determine the target switching platform corresponding to the abnormal cloud platform according to the target combination method, and perform supervision switching based on the abnormal cloud platform and the corresponding target switching platform.

[0038] Furthermore, it also includes a requirement management module. The requirement management module is used for users to manage requirements, including a recording unit. The recording unit is used for users to record various adjustment requirements; preset each adjustment block;

[0039] Real-time identify each adjustment requirement, classify each adjustment requirement based on each adjustment block, and obtain each unit class;

[0040] Attach corresponding adjustment block labels to each unit class; evaluate each adjustment block according to each unit class to determine the optimized block, integrate the unit classes corresponding to the optimized block into optimized materials; adjust the optimized block according to the optimized materials.

[0041] Furthermore, the method for evaluating each adjustment block according to each unit class includes:

[0042] Identify each adjustment requirement corresponding to the unit class, analyze each adjustment requirement, and determine the corresponding improvement value and difficulty value;

[0043] Identify the quantity of each adjustment requirement corresponding to the unit class and mark it as the requirement value;

[0044] According to the formula Calculate the corresponding requirement evaluation value;

[0045] Where: PGT is the requirement evaluation value; XQ is the requirement value; TS is the improvement value; ND is the difficulty value;

[0046] Mark the adjustment block with a requirement evaluation value greater than the preset value as the optimized block.

[0047] Compared with the prior art, the beneficial effects of the present invention are:

[0048] Through the cooperation between the platform demand module, display module, platform adjustment module and demand management module, we can reduce the excessive dependence on cloud computing platform and Internet of Things technology. Even in extreme cases such as network interruption or cloud server downtime, the basic operation functions of the low-voltage power supply supervision system can be guaranteed, effectively avoiding system paralysis caused by external infrastructure failure, and significantly improving the stability and reliability of the system. It not only solves the practical problems existing in the current low-voltage power supply supervision system, but also provides strong support for the technological progress and standardization development of the industry. By continuously optimizing and improving technical solutions, we will promote the low-voltage power supply supervision system to develop in a more intelligent, efficient and safe direction, and contribute to the transformation, upgrading and sustainable development of related industries. BRIEF DESCRIPTION OF THE DRAWINGS

[0049] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0050] Figure 1 This is a principle block diagram of the present invention. DETAILED DESCRIPTION

[0051] The technical solution of the present invention will be clearly and completely described below in conjunction with the embodiments. 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.

[0052] like Figure 1 As shown, a low-voltage power supply supervision system based on a control cloud platform includes a platform demand module, a display module, a platform adjustment module and a demand management module;

[0053] The platform requirement module is used to determine each control cloud platform according to the user's supervision requirements for the low-voltage power supply, and perform low-voltage power supply supervision processing according to each control cloud platform.

[0054] That is, according to the user's regulatory needs, the existing service providers that can provide regulatory cloud platform services, such as Alibaba Cloud, Tencent Cloud, Huawei Cloud, etc., are screened and determined to determine the selected service providers, and the service providers establish a regulatory cloud platform according to the regulatory needs; the regulatory needs include power supply regulatory needs and platform regulation needs; the platform adjustment demand means that when necessary, the data processed by other regulatory cloud platforms can be switched to the regulatory cloud platform for processing in a timely manner to ensure the continuity and stability of the system. Specific adjustments are made according to user needs, such as the data volume, proportion, interface and other related conditions that each regulatory cloud platform is responsible for, and it can also include corresponding blacklists, etc.

[0055] In one embodiment, the selection of service providers and the establishment of a control cloud platform can be achieved manually.

[0056] In one embodiment, the method for selecting a service provider is:

[0057] A demand matching model is established according to regulatory requirements. The demand matching model is used to match and analyze various service providers according to regulatory requirements, determine the service providers that meet regulatory requirements, and mark them as candidate platform service providers. The matching is mainly based on power supply regulatory requirements, that is, the power supply regulatory requirements can be met. The expression of the demand matching model is: Where: si is the input data, i=1, 2, ..., n, n is a positive integer; the input data is the corresponding service provider information, that is, the information related to the services it can provide; meeting the matching requirements means that the corresponding service provider information meets the power supply supervision requirements; the output data is the demand matching value XP(si);

[0058] Obtaining service provider information of each service provider, analyzing the information of each service provider through a demand matching model, and determining each candidate platform service provider;

[0059] The platform regulation requirements will be sent to all candidate platform service providers, and those candidate platform service providers that cannot meet the platform regulation requirements will be eliminated and determined by the corresponding service providers; during this screening process, the actual needs of users will be avoided from being sent to the eliminated service providers, and the platform regulation requirements sent will not leak important user-related information, thereby ensuring the user's information security.

[0060] The remaining candidate platform service providers are screened to determine the target platform service providers.

[0061] Methods for screening the remaining candidate platform service providers include:

[0062] Extract the cloud features of each candidate platform service provider based on their information, mainly about various features related to abnormal operation of subsequent control cloud platforms, such as shared servers, same electricity consumption, etc., that is, a certain abnormal reason causes multiple control cloud platforms to be abnormal at the same time. Set each feature item for extraction according to possible situations. Most of the candidate platform service providers of major brands will form an independent classification, but in order to improve security, corresponding classification is required; summarize and obtain the cloud feature set of each candidate platform service provider;

[0063] Conduct simulation evaluation on each cloud feature set, that is, conduct anomaly simulation based on each cloud feature to determine whether the same anomaly impact will occur, obtain corresponding simulation evaluation results, classify each candidate platform service provider based on the simulation evaluation results, and obtain each service classification;

[0064] The candidate platform service providers corresponding to each service category are displayed to users, who make a comprehensive judgment based on service, after-sales, operation and maintenance, cost, etc. to determine the target platform service providers for the application.

[0065] The display module is used to connect to each control cloud platform and summarize and display the display data of each control cloud platform.

[0066] In one embodiment, a corresponding display mode is set according to user needs, and data is displayed according to a preset display model, such as a chart, three-dimensional, or other display mode.

[0067] The platform adjustment module is used to monitor and adjust each control cloud platform, and to perform real-time operation monitoring on each control cloud platform. The operation of the control cloud platform can be monitored based on the supervision of the low-voltage power supply, and the operation monitoring results of each control cloud platform can be obtained. The operation monitoring results include normal operation and abnormal operation;

[0068] When the operation monitoring results of each control cloud platform are all normal, no corresponding operation is performed;

[0069] When the monitoring result shows abnormal operation, the corresponding control cloud platform with abnormal operation will be marked as an abnormal cloud platform, and the supervision task that the abnormal cloud platform is responsible for will be switched to supervision; until the operation monitoring result shows normal operation, the supervision will be restored, that is, switched back.

[0070] In one embodiment, the method for real-time operation monitoring of each control cloud platform is to perform operation monitoring based on existing technology to determine whether it is operating normally.

[0071] In one embodiment, the method for monitoring the operation of each control cloud platform includes:

[0072] An operation monitoring model is established. The operation monitoring model is used to monitor the operation of the control cloud platform and determine whether there are any abnormal operation conditions. From the perspective of low-voltage power supply monitoring and management, various abnormal operation conditions of the control cloud platform are determined, and then recognition training is performed to determine whether there are abnormal operation conditions based on the operation data of the control cloud platform. Abnormal operation conditions are considered to meet the abnormal monitoring standards. The expression of the operation monitoring model is: Where: q is the input data, which is the operation data of the corresponding control cloud platform; the output data is the operation monitoring value YP(q), which is 1 or 0;

[0073] The operation monitoring model is used to monitor the operation of each control cloud platform to obtain corresponding operation monitoring values; and the corresponding operation monitoring results are determined based on the obtained operation monitoring values.

[0074] In one embodiment, the method for switching the supervision task that the abnormal cloud platform is responsible for is: based on the existing technology, a switching control cloud platform is determined, marked as a switching cloud platform, such as by random, pre-specified, etc., and switching is performed according to the determined switching cloud platform.

[0075] In one embodiment, a method for switching the supervision task that the abnormal cloud platform is responsible for includes:

[0076] Mark the control cloud platform that is running normally as the platform to be switched; identify the supervision tasks that the abnormal cloud platform is responsible for and mark them as supervision switching tasks; determine the switching combination mode according to the supervision switching tasks, that is, determine the supervision and control cloud platform that can realize the supervision switching task according to the supervision switching task, and determine each switching combination according to the situation that can realize the comprehensive abnormal cloud platform switching, that is, when there are multiple abnormal cloud platforms, it is necessary to meet the supervision requirements after the switching at the same time, and then determine the corresponding various switching combination modes, which are composed of the combination of each abnormal cloud platform and the corresponding platform to be switched; it is determined according to the actual situation of each platform to be switched, such as supervision capacity, data processing volume, etc.

[0077] Evaluate each switching combination method to obtain the corresponding switching duration and regulatory impact value; the switching duration is estimated based on the final completion of the switching; the regulatory impact value is estimated for the corresponding regulatory impact situation after switching according to this switching combination method, and the regulatory change is evaluated based on its original supervision. If there is no impact, the regulatory impact value is 0. If there is an impact, the regulatory impact value is the estimated reduced regulatory proportion; existing function change evaluation technologies can be used to evaluate the regulatory impact value; or an evaluation model can be established based on neural networks such as CNN networks or DNN networks, and a corresponding training set is established through artificial means for training. The training set includes input data and output data. The input data is the switching combination method and relevant information of each regulation cloud platform; the output data is the regulatory impact value; analyze through the evaluation model after successful training to obtain the corresponding regulatory impact value.

[0078] Calculate the corresponding method evaluation value according to the formula PA = b1×YZ + b2×PK(TQ, X1);

[0079] In the formula: PA is the method evaluation value; b1 and b2 are both proportionality coefficients, and the value range is 0 < b1 ≤ 1, 0 < b2 ≤ 1; YZ is the regulatory impact value; TQ is the switching duration; X1 is the threshold;

[0080] Select the switching combination method with the smallest method evaluation value as the target combination method. If there are multiple with the smallest value, you can use random or choose the smaller one of the switching duration and the regulatory impact value as the target combination method; determine the target switching platform corresponding to the abnormal cloud platform according to the target combination method, and perform regulatory switching based on the abnormal cloud platform and the corresponding target switching platform.

[0081] The demand management module is used for users to manage demands, including a recording unit. The recording unit is used for users to record and store regulatory opinions and suggestions during use, and mark the corresponding regulatory opinions and suggestions as adjustment demands; identify each adjustment demand in real time, classify each adjustment demand to obtain each unit class, that is, classify according to the part and content to be adjusted corresponding to the adjustment demand, and classify those with the same part and adjustment content into one class, marked as the unit class. The system will be divided into several parts in advance, which can be divided according to functions, etc., and the corresponding parts are marked as adjustment blocks, and subsequent classification can be carried out according to the adjustment blocks;

[0082] Assign corresponding adjustment block labels to each unit class; evaluate each adjustment block according to each unit class to determine the optimization block, and integrate the unit classes corresponding to the optimization block into optimization materials; adjust the optimization block according to the optimization materials, that is, send the optimization materials and the optimization block to the corresponding responsible person, and let them determine which need to be optimized according to the optimization materials, and then the corresponding technical personnel will make adjustments.

[0083] In one embodiment, the method for evaluating each adjustment block according to each unit class is: using existing suggested analysis technology to perform analysis, determine the requirements to be applied, and then determine the optimization block.

[0084] In one embodiment, the method of evaluating each adjustment block according to each unit class includes:

[0085] Identify the adjustment requirements corresponding to the unit class, analyze each adjustment requirement, and determine the corresponding improvement value and difficulty value; the improvement value is set according to the estimated possible improvement in the use effect after the adjustment requirement is achieved, and the difficulty value is set according to the difficulty of achieving the adjustment requirement, and the value range is 0 to 100, which is to evaluate the adjustment content corresponding to each adjustment requirement; specifically, a corresponding demand evaluation model can be established based on a neural network such as a CNN network or a DNN network, and a corresponding training set can be established manually for training. The training set includes input data and output data, and the input data is the adjustment requirements corresponding to the unit class; the output data is the improvement value and difficulty value, and the corresponding improvement value and difficulty value are obtained by analyzing the demand evaluation model after successful training;

[0086] Identify the number of adjustment requirements corresponding to the unit class and mark it as the required value;

[0087] According to the formula Calculate the corresponding demand assessment value;

[0088] In the formula: PGT is the demand assessment value; XQ is the demand value; TS is the improvement value; ND is the difficulty value;

[0089] The adjustment blocks whose demand evaluation values ​​are greater than the preset values ​​are marked as optimization blocks.

[0090] The above formulas are all calculated by removing dimensions and taking numerical values. The formula is a formula that is closest to the actual situation obtained by collecting a large amount of data and performing software simulation. The preset parameters and preset thresholds in the formula are set by technical personnel in this field according to actual conditions or obtained by simulating a large amount of data.

[0091] The above embodiments are only used to illustrate the technical method of the present invention rather than to limit it. Although the present invention has been described in detail with reference to the preferred embodiments, those skilled in the art should understand that the technical method of the present invention may be modified or replaced by equivalents without departing from the spirit and scope of the technical method of the present invention.

Claims

1. A low voltage power supply monitoring system based on a control cloud platform, characterized in that: Includes platform requirement module, display module and platform adjustment module; The platform demand module is used to determine each control cloud platform according to the user's supervision requirements for the low-voltage power supply, and perform supervision processing of the low-voltage power supply according to each control cloud platform; The display module is used to connect to each control cloud platform and summarize and display the display data of each control cloud platform; The platform adjustment module is used to monitor and adjust each control cloud platform, perform real-time operation monitoring on each control cloud platform, and obtain the operation monitoring results of each control cloud platform, wherein the operation monitoring results include normal operation and abnormal operation; When the operation monitoring results of each control cloud platform are all normal, no corresponding operation is performed; When the monitoring result is abnormal operation, the corresponding abnormal control cloud platform is marked as an abnormal cloud platform, and the supervision task responsible for the abnormal cloud platform is switched; Supervision will be resumed until the operation monitoring results show that the operation is normal.

2. According to the low-voltage power supply monitoring system based on the control cloud platform of claim 1, it is characterized in that: The methods for determining the control cloud platform include: Obtaining regulatory requirements, which include power regulatory requirements and platform control requirements; determining each candidate platform service provider based on the regulatory requirements, screening each candidate platform service provider, and determining each target platform service provider; sending the power regulatory requirements to each target platform service provider, and having each target platform service provider set up a corresponding control cloud platform.

3. A low voltage power supply monitoring system based on a control cloud platform according to claim 2, characterized in that: Methods for determining the platform service providers to be selected include: A demand matching model is established according to regulatory requirements. The expression of the demand matching model is: Wherein: si is the input data, i=1, 2, ..., n, n is a positive integer; the input data is the corresponding service provider information; the output data is the demand matching value XP (si); the demand matching value is 1 or 0; The service provider information of each service provider is obtained, and the service provider information is analyzed through a demand matching model to obtain a demand matching value of each service provider; and each candidate platform service provider is determined according to each demand matching value.

4. A low voltage power supply monitoring system based on a control cloud platform according to claim 3, characterized in that: Methods for screening the candidate platform service providers include: Sending the platform regulation requirements to all the candidate platform service providers, and eliminating the candidate platform service providers that do not meet the platform regulation requirements; Extracting cloud features of each candidate platform service provider according to the information of each candidate platform service provider, summarizing the cloud features of each candidate platform service provider, and obtaining a cloud feature set of each candidate platform service provider; Conduct simulation evaluation on each cloud feature set to obtain corresponding simulation evaluation results; classify each candidate platform service provider according to the simulation evaluation results to obtain each service classification; The candidate platform service providers corresponding to each service category are displayed to the user to determine the target platform service providers.

5. A low voltage power supply monitoring system based on a control cloud platform according to claim 1, characterized in that: The display module displays data according to a preset display mode.

6. A low voltage power supply monitoring system based on a control cloud platform according to claim 1, characterized in that: Methods for monitoring the operation of each control cloud platform include: An operation monitoring model is established, and the expression of the operation monitoring model is: Where: q is the input data, which is the operation data of the corresponding control cloud platform; the output data is the operation monitoring value YP(q), which is 1 or 0; The operation monitoring model is used to monitor the operation of each control cloud platform to obtain the corresponding operation monitoring value; the corresponding operation monitoring result is determined according to the operation monitoring value obtained in real time.

7. A low voltage power supply monitoring system based on a control cloud platform according to claim 6, characterized in that: Methods for switching the supervision tasks that the abnormal cloud platform is responsible for include: Mark the control cloud platform that is running normally according to the operation monitoring results as the platform to be switched; identify the supervision tasks that the abnormal cloud platform is responsible for and mark them as supervision switching tasks; determine the switching combination methods according to the supervision switching tasks; Evaluate each switching combination to obtain the corresponding switching duration and regulatory impact value; Calculate the corresponding mode evaluation value according to the formula PA = b1 × YZ + b2 × PK (TQ, X1); Where: PA is the mode evaluation value; b1 and b2 are both proportionality coefficients, and the value ranges are 0 < b1 ≤ 1, 0 < b2 ≤ 1; YZ is the regulatory impact value; TQ is the switching duration; X1 is the threshold; The switching combination with the smallest evaluation value is selected as the target combination. The target switching platform corresponding to the abnormal cloud platform is determined according to the target combination. Supervision switching is performed based on the abnormal cloud platform and the corresponding target switching platform.

8. The low voltage power supply monitoring system based on the control cloud platform according to claim 1 is characterized in that: It also includes a demand management module, which is used by users to manage demand, including a recording unit, which is used by users to record various adjustment requirements; preset various adjustment blocks; Identify each adjustment requirement in real time, classify each adjustment requirement based on each adjustment block, and obtain each unit class; Label each unit class with a corresponding adjustment block; evaluate each adjustment block according to each unit class, determine the optimized block, and integrate each unit class corresponding to the optimized block into optimized materials; adjust the optimized block according to the optimized materials.

9. A low voltage power supply monitoring system based on a control cloud platform according to claim 8, characterized in that: Methods for evaluating each adjustment block according to each unit class include: Identify the adjustment requirements corresponding to the unit class, analyze each adjustment requirement, and determine the corresponding improvement value and difficulty value; Identify the quantity of each adjustment requirement corresponding to the unit class and mark it as the requirement value; According to the formula Calculate the corresponding demand assessment value; In the formula: PGT is the demand assessment value; XQ is the demand value; TS is the improvement value; ND is the difficulty value; The adjustment blocks whose demand evaluation values ​​are greater than the preset values ​​are marked as optimization blocks.

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