Intelligent monitoring, management and operation system of power equipment based on cloud computing

Abstract

The present invention relates to the technical field of power equipment management, and specifically to an intelligent monitoring, management and operation and maintenance system for power equipment based on cloud computing, comprising an equipment comparison power module, which is used to evaluate the equipment operation status of power equipment under different powers to obtain the equipment comparison power of the power equipment; an equipment fault data module, which is used to analyze the equipment status of power equipment under different equipment operation data to obtain target equipment fault data of the power equipment; an electricity consumption prediction module, which is used to predict the electricity consumption of a power consumption area in a current cycle to obtain predicted electricity consumption data of the power consumption area; a target power data module, which is used to analyze the energy consumption status and work efficiency of power equipment under different powers to obtain target power data of the power equipment; and an intelligent operation and maintenance module, which is used to monitor the equipment status of power equipment in the current cycle and perform intelligent operation and maintenance on power equipment in a power grid.

Description

Technical Field

[0001] The present invention relates to the technical field of power equipment management, and in particular to a cloud computing-based intelligent monitoring, management and operation and maintenance system for power equipment. Background Art

[0002] Cloud computing is an Internet-based computer model that provides computing resources, storage resources, applications and other services to users through the Internet. Users can purchase the corresponding resources according to their needs for use without actually owning actual software facilities and hardware equipment. The cloud computing platform can realize real-time monitoring and remote management of power equipment. There is no need for staff to go to the site for operation. Only the cloud platform can be used to monitor the equipment status and collect equipment data at any time, perform equipment fault diagnosis and remote control, greatly improving the efficiency of power equipment management and operation. Due to the special properties of cloud computing, the cloud computing platform can realize data sharing among multiple users in the monitoring, management and operation of power equipment, thereby realizing the collaborative work of different power departments and reducing the cost of information communication in the operation and maintenance of power equipment.

[0003] It is very important to carry out load management on power equipment in the power grid, especially for the power equipment in the transmission, transformation and distribution stations in the power grid. The important role of the power equipment in the transmission, transformation and distribution stations is to realize the transmission, change and distribution of electric energy. However, the power demand of different power users in the power grid is different in different time periods, which will cause the actual load of the power equipment in the power grid to change frequently. However, there is no more effective method to adjust the load of power equipment in the power grid, which makes some power equipment in the power grid in a high-load state for a long time, while some power equipment is in a low-load state for a long time, which will not only cause energy waste, but also cause safety accidents in the power grid. Summary of the invention

[0004] The purpose of the present invention is to provide an intelligent monitoring, management and operation and maintenance system for power equipment based on cloud computing to solve the problems existing in the above-mentioned background technology.

[0005] In order to solve the above technical problems, the present invention provides the following technical solutions: an intelligent monitoring, management and operation and maintenance system for power equipment based on cloud computing, the intelligent monitoring, management and operation and maintenance system includes an equipment control power module, an equipment fault data module, a power consumption prediction module, a target power data module, and an intelligent operation and maintenance module;

[0006] The device reference power module is used to obtain the power equipment in the power grid, obtain the historical power records of the power equipment, analyze the influence of different equipment operating environments on the equipment power of the power equipment, and evaluate the equipment operating status of the power equipment under different powers to obtain the equipment reference power of the power equipment;

[0007] The equipment failure data module is used to obtain the historical equipment failure records of the power equipment, extract the equipment failure data from the historical equipment failure records, and when the equipment failure data is a power equipment failure, collect the equipment operation data of the power equipment, analyze the equipment status of the power equipment under different equipment operation data, and obtain the target equipment failure data of the power equipment;

[0008] The power consumption prediction module is used to obtain the power consumption area supplied by the power grid, obtain the historical power consumption records of the power consumption area, obtain the power consumption data of the power consumption area from the historical power consumption records, and predict the power consumption of the power consumption area in the current cycle to obtain the predicted power consumption data of the power consumption area;

[0009] The target power data module is used to obtain the historical energy consumption data and historical work efficiency data of the power equipment in the historical period, obtain the historical power data of the power equipment in the historical period, and analyze the energy consumption status and work efficiency of the power equipment under different powers in combination with the equipment control power of the power equipment to obtain the target power data of the power equipment;

[0010] The intelligent operation and maintenance module is used to assign tasks to the power equipment in the power grid based on the predicted power data and the target power data of the power equipment, and to monitor the equipment status of the power equipment in the current cycle based on the target equipment failure data of the power equipment, so as to perform intelligent operation and maintenance of the power equipment in the power grid.

[0011] Further, the device control power module includes a device control power unit;

[0012] The equipment reference power unit is used to extract the power data of the power equipment from the historical power records, obtain the time period when the power equipment fails, analyze the impact of different equipment operating environments on the equipment power of the power equipment, and evaluate the equipment operating status of the power equipment under different powers to obtain the reference power of the power equipment.

[0013] Furthermore, the device control power unit includes:

[0014] Get the time period when the power equipment fails and set the unit time length T Δ , the average power of the electric equipment in the time period is obtained every unit time, and the maximum value of the average power is used as the marked power of the electric equipment in the time period;

[0015] The various time periods when the electric power equipment fails are obtained, and the marked power of the electric power equipment in each time period is obtained, and the minimum value of the marked power is recorded as the reference power of the electric power equipment.

[0016] Further, the equipment failure data module includes a historical failure unit and a target equipment failure data unit;

[0017] A historical fault unit is used to monitor the operation of the power equipment using sensors. When the power equipment is determined to have a fault, the device status monitored before the power equipment fails is recorded to obtain a historical equipment fault record of the power equipment.

[0018] The target equipment failure data unit is used to obtain the historical equipment failure records of the power equipment, and extract the equipment failure operation data of the power equipment from the historical equipment failure records, analyze the impact of different equipment operation data on the equipment operation of the power equipment, and obtain the target equipment failure data of the power equipment.

[0019] Furthermore, the target device fault data unit includes:

[0020] Obtaining equipment failure operation data of the electric equipment from each historical equipment failure record of the electric equipment, the equipment failure operation data including corresponding data of various equipment operation parameters of the electric equipment;

[0021] Analyze the impact of different equipment operation data on the equipment operation of the power equipment, and obtain the target equipment failure data of the power equipment. The specific analysis process is to obtain the maximum and minimum values ​​of each equipment operation parameter in the historical equipment failure record, and calculate the characteristic parameter change value of each equipment operation parameter in the historical equipment failure record. The characteristic parameter change value of the bth equipment operation parameter in the historical equipment failure record Indicates the maximum value of the equipment operating parameter in item b of the historical equipment fault record. Indicates the minimum value of the equipment operating parameter in item b in the historical equipment fault record;

[0022] When the characteristic parameter change value of a certain equipment operating parameter in the historical equipment fault record is greater than the preset characteristic parameter change threshold, it is determined that a certain equipment operating parameter in the historical equipment fault record is abnormal, and the certain equipment operating parameter is recorded as the characteristic equipment operating parameter of the historical equipment fault record;

[0023] Obtain characteristic equipment operating parameters of each historical equipment fault record of the power equipment, obtain several historical equipment fault records containing a certain characteristic equipment operating parameter, obtain the minimum value of the maximum value of a certain characteristic equipment operating parameter in several historical equipment fault records, and record the minimum value as a marked operating abnormal value of a certain characteristic equipment operating parameter;

[0024] The marked operation abnormal values ​​of various characteristic equipment operation parameters in the power equipment are obtained and collected to obtain the target equipment fault data of the power equipment.

[0025] Furthermore, the power consumption prediction module includes a historical power consumption record unit and a predicted power consumption data unit;

[0026] The historical electricity consumption recording unit is used to obtain the electricity consumption area where the power equipment in the power grid is responsible for supplying power, and to collect the electricity consumption data of the electricity consumption area in each historical period to obtain the historical electricity consumption record of the electricity consumption area;

[0027] The power consumption data prediction unit is used to obtain each historical power consumption record of the power consumption area, extract the power consumption data of the power consumption area from each historical power consumption record, analyze the power consumption of the power consumption area, and obtain the predicted power consumption data of the power consumption area in the current cycle.

[0028] Furthermore, the predicted power data unit includes:

[0029] Obtaining electricity consumption data of the electricity consumption area in the historical electricity consumption record, where the electricity consumption data is the total electricity consumption of the electricity consumption area in the historical period corresponding to the historical electricity consumption record;

[0030] The electricity consumption data of the electricity consumption area in each historical electricity consumption record is input into the neural network prediction algorithm after model training, and the neural network prediction algorithm is used to predict the total electricity consumption of the electricity consumption area in the current cycle to obtain the predicted electricity consumption data of the electricity consumption area in the current cycle.

[0031] Further, the target power data module includes a data acquisition unit and a target power data unit;

[0032] A data acquisition unit is used to monitor the energy consumption state and equipment working efficiency of the power equipment in each historical period, and obtain the historical energy consumption data and historical working efficiency data of the power equipment in each historical period, wherein the historical energy consumption data is the total amount of electricity consumed by the power equipment in the historical period, the historical working efficiency data is the average working efficiency of the power equipment in the historical period, and the working efficiency is the output power of the power equipment divided by the input power of the power equipment;

[0033] The target power data unit is used to obtain the historical power data of the power equipment in the historical period according to the historical energy consumption data and historical work efficiency data of the power equipment in each historical period, and analyze the energy consumption status and work efficiency of the power equipment under different powers in combination with the equipment reference power of the power equipment to obtain the target power data of the power equipment.

[0034] Furthermore, the target power data unit includes:

[0035] Obtain historical power data of the power equipment in a historical period, where the historical power data is the average power of the power equipment in the historical period;

[0036] Set an average power threshold. When the average power of the power equipment in a certain historical period is less than the equipment reference power of the power equipment, mark the certain historical period.

[0037] The average value of the working efficiency and the total power consumption of the power equipment in each marked historical period are normalized, and the characteristic equipment operation value of the power equipment in each marked historical period is calculated, where the characteristic equipment operation value of the power equipment in the marked fth historical period is Among them, H f is the total power consumption of the power equipment after normalization in the marked f-th historical period, Q f is the average value of the normalized working efficiency of the power equipment in the marked f-th historical period;

[0038] Obtain the maximum value of the characteristic device operation value, obtain the average power of the power device in the marked historical period where the maximum value is located, record it as the target average power of the power device, and obtain the target power data of the power device;

[0039] The above steps first mark the historical periods of the power equipment according to the relationship between the equipment control power of the power equipment and the average power of the power equipment in each historical period, and find out the optimal operating power of the power equipment through the average value of the working efficiency of the power equipment in the marked historical period and the total power consumed. Because there is a large difference between the numerical values ​​of the electric energy consumed by the power equipment and the working efficiency of the power equipment, the electric energy consumed by the power equipment and the working efficiency of the power equipment are normalized before calculation, so that the numerical values ​​in the subsequent calculation process are more accurate and the analysis is more reasonable and scientific.

[0040] Further, the intelligent operation and maintenance module includes an intelligent operation and maintenance unit;

[0041] The intelligent operation and maintenance unit is used to allocate corresponding task amounts to the power equipment in the power grid according to the predicted power consumption data of the power consumption area that the power equipment is responsible for supplying power, so that the average power of the power equipment in the current cycle is the same as the target average power of the target power data, and based on the target equipment fault data of the power equipment, perform fault detection on the power equipment in the current cycle and perform intelligent operation and maintenance of the power equipment in the power grid.

[0042] Compared with the prior art, the beneficial effects achieved by the present invention are as follows: the present invention realizes the intelligent operation and maintenance management of the power equipment of the transmission, transformation and distribution stations in the power grid, predicts the total power consumption of the power consumption area in the current cycle based on the historical power consumption data of the power consumption area that the power grid is responsible for supplying power to, and obtains the optimal operating power of the power equipment during operation based on the working efficiency of the power equipment and the energy consumption of the power equipment, thereby realizing the intelligent allocation of the task volume of the power equipment in the power grid, and at the same time, can also predict the faults of the power equipment in the power grid to ensure the normal operation and safety of the power grid. BRIEF DESCRIPTION OF THE DRAWINGS

[0043] The accompanying drawings are used to provide a further understanding of the present invention and constitute part of the specification. Together with the embodiments of the present invention, they are used to explain the present invention and do not constitute a limitation of the present invention. In the accompanying drawings:

[0044] Figure 1 It is a module flow chart of the intelligent monitoring, management and operation and maintenance system of power equipment based on cloud computing of the present invention;

[0045] Figure 2 It is a target power data flow chart of the cloud computing-based intelligent monitoring, management and operation and maintenance system for electric power equipment of the present invention. DETAILED DESCRIPTION

[0046] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions 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.

[0047] See also Figure 1-Figure 2 , the present invention provides a technical solution: an intelligent monitoring, management and operation and maintenance system for power equipment based on cloud computing, the intelligent monitoring, management and operation and maintenance system includes an equipment control power module, an equipment fault data module, a power consumption prediction module, a target power data module, and an intelligent operation and maintenance module;

[0048] The device reference power module is used to obtain the power equipment in the power grid, obtain the historical power records of the power equipment, analyze the influence of different equipment operating environments on the equipment power of the power equipment, and evaluate the equipment operating status of the power equipment under different powers to obtain the equipment reference power of the power equipment;

[0049] The equipment failure data module is used to obtain the historical equipment failure records of the power equipment, extract the equipment failure data from the historical equipment failure records, and when the equipment failure data is a power equipment failure, collect the equipment operation data of the power equipment, analyze the equipment status of the power equipment under different equipment operation data, and obtain the target equipment failure data of the power equipment;

[0050] The power consumption prediction module is used to obtain the power consumption area supplied by the power grid, obtain the historical power consumption records of the power consumption area, obtain the power consumption data of the power consumption area from the historical power consumption records, and predict the power consumption of the power consumption area in the current cycle to obtain the predicted power consumption data of the power consumption area;

[0051] The target power data module is used to obtain the historical energy consumption data and historical work efficiency data of the power equipment in the historical period, obtain the historical power data of the power equipment in the historical period, and analyze the energy consumption status and work efficiency of the power equipment under different powers in combination with the equipment control power of the power equipment to obtain the target power data of the power equipment;

[0052] The intelligent operation and maintenance module is used to assign tasks to the power equipment in the power grid based on the predicted power data and the target power data of the power equipment, and to monitor the equipment status of the power equipment in the current cycle based on the target equipment failure data of the power equipment, so as to perform intelligent operation and maintenance on the power equipment in the power grid;

[0053] Wherein, the device control power module includes a device control power unit;

[0054] The equipment reference power unit is used to extract the power data of the power equipment from the acquired historical power records, obtain the time period when the power equipment fails, analyze the influence of different equipment operating environments on the equipment power of the power equipment, and evaluate the equipment operating status of the power equipment under different powers to obtain the reference power of the power equipment;

[0055] Among them, the equipment control power unit includes:

[0056] Get the time period when the power equipment fails and set the unit time length T Δ , the average power of the electric equipment in the time period is obtained every unit time, and the maximum value of the average power is used as the marked power of the electric equipment in the time period;

[0057] Obtain each time period when the power equipment fails, and obtain the marked power of the power equipment in each time period, and record the minimum value of the marked power as the reference power of the power equipment;

[0058] Among them, the equipment failure data module includes a historical failure unit and a target equipment failure data unit;

[0059] A historical fault unit is used to monitor the operation of the power equipment using sensors. When the power equipment is determined to have a fault, the device status monitored before the power equipment fails is recorded to obtain a historical equipment fault record of the power equipment.

[0060] The target equipment failure data unit is used to obtain the historical equipment failure records of the power equipment, extract the equipment failure operation data of the power equipment from the historical equipment failure records, analyze the impact of different equipment operation data on the equipment operation of the power equipment, and obtain the target equipment failure data of the power equipment;

[0061] The target device fault data unit includes:

[0062] Obtaining equipment failure operation data of the electric equipment from each historical equipment failure record of the electric equipment, the equipment failure operation data including corresponding data of various equipment operation parameters of the electric equipment;

[0063] Analyze the impact of different equipment operation data on the equipment operation of the power equipment, and obtain the target equipment failure data of the power equipment. The specific analysis process is to obtain the maximum and minimum values ​​of each equipment operation parameter in the historical equipment failure record, and calculate the characteristic parameter change value of each equipment operation parameter in the historical equipment failure record. The characteristic parameter change value of the bth equipment operation parameter in the historical equipment failure record Indicates the maximum value of the equipment operating parameter in item b of the historical equipment fault record. Indicates the minimum value of the equipment operating parameter in item b in the historical equipment fault record;

[0064] When the characteristic parameter change value of a certain equipment operating parameter in the historical equipment fault record is greater than the preset characteristic parameter change threshold, it is determined that a certain equipment operating parameter in the historical equipment fault record is abnormal, and the certain equipment operating parameter is recorded as the characteristic equipment operating parameter of the historical equipment fault record;

[0065] Obtain characteristic equipment operating parameters of each historical equipment fault record of the power equipment, obtain several historical equipment fault records containing a certain characteristic equipment operating parameter, obtain the minimum value of the maximum value of a certain characteristic equipment operating parameter in several historical equipment fault records, and record the minimum value as a marked operating abnormal value of a certain characteristic equipment operating parameter;

[0066] Obtain and aggregate the marked operation abnormal values ​​of various characteristic equipment operation parameters in the power equipment to obtain target equipment fault data of the power equipment;

[0067] Among them, the power consumption prediction module includes a historical power consumption record unit and a predicted power consumption data unit;

[0068] The historical electricity consumption recording unit is used to obtain the electricity consumption area where the power equipment in the power grid is responsible for supplying power, and to collect the electricity consumption data of the electricity consumption area in each historical period to obtain the historical electricity consumption record of the electricity consumption area;

[0069] The power consumption data prediction unit is used to obtain each historical power consumption record of the power consumption area, extract the power consumption data of the power consumption area from each historical power consumption record, analyze the power consumption of the power consumption area, and obtain the predicted power consumption data of the power consumption area in the current cycle;

[0070] The predicted power data unit includes:

[0071] Obtaining electricity consumption data of the electricity consumption area in the historical electricity consumption record, where the electricity consumption data is the total electricity consumption of the electricity consumption area in the historical period corresponding to the historical electricity consumption record;

[0072] The electricity consumption data of the electricity consumption area in each historical electricity consumption record is input into the neural network prediction algorithm after model training, and the neural network prediction algorithm is used to predict the total electricity consumption of the electricity consumption area in the current cycle to obtain the predicted electricity consumption data of the electricity consumption area in the current cycle;

[0073] Wherein, the target power data module includes a data acquisition unit and a target power data unit;

[0074] A data acquisition unit is used to monitor the energy consumption state and equipment working efficiency of the power equipment in each historical period, and obtain the historical energy consumption data and historical working efficiency data of the power equipment in each historical period, wherein the historical energy consumption data is the total amount of electricity consumed by the power equipment in the historical period, the historical working efficiency data is the average working efficiency of the power equipment in the historical period, and the working efficiency is the output power of the power equipment divided by the input power of the power equipment;

[0075] The target power data unit is used to obtain the historical power data of the power equipment in the historical period according to the historical energy consumption data and historical working efficiency data of the power equipment in each historical period, and analyze the energy consumption state and working efficiency of the power equipment under different powers in combination with the equipment reference power of the power equipment to obtain the target power data of the power equipment;

[0076] The target power data unit includes:

[0077] Obtain historical power data of the power equipment in a historical period, where the historical power data is the average power of the power equipment in the historical period;

[0078] Set an average power threshold. When the average power of the power equipment in a certain historical period is less than the equipment reference power of the power equipment, mark the certain historical period.

[0079] The average value of the working efficiency and the total power consumption of the power equipment in each marked historical period are normalized, and the characteristic equipment operation value of the power equipment in each marked historical period is calculated, where the characteristic equipment operation value of the power equipment in the marked fth historical period is Among them, H f is the total power consumption of the power equipment after normalization in the marked f-th historical period, Q f is the average value of the normalized working efficiency of the power equipment in the marked f-th historical period;

[0080] For example, the total power H2 consumed by the power equipment after normalization in the second historical period marked is 0.5, the total power Q2 consumed by the power equipment after normalization in the second historical period marked is 0.4, and the characteristic equipment operation value of the power equipment in the second historical period marked is

[0081] Obtain the maximum value of the characteristic device operation value, obtain the average power of the power device in the marked historical period where the maximum value is located, record it as the target average power of the power device, and obtain the target power data of the power device;

[0082] Among them, the intelligent operation and maintenance module includes an intelligent operation and maintenance unit;

[0083] The intelligent operation and maintenance unit is used to allocate corresponding task amounts to the power equipment in the power grid according to the predicted power consumption data of the power consumption area that the power equipment is responsible for supplying power, so that the average power of the power equipment in the current cycle is the same as the target average power of the target power data, and based on the target equipment fault data of the power equipment, perform fault detection on the power equipment in the current cycle and perform intelligent operation and maintenance of the power equipment in the power grid.

[0084] It should be noted that, in this article, relational terms such as first and second, etc. are only used to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Moreover, the terms "include", "comprise" or any other variants thereof are intended to cover non-exclusive inclusion, so that a process, method, article or device including a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, method, article or device.

[0085] Finally, it should be noted that the above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. Although the present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art can still modify the technical solutions described in the aforementioned embodiments or replace some of the technical features therein by equivalents. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present invention shall be included in the protection scope of the present invention.

Claims

1. The intelligent monitoring, management and operation and maintenance system for power equipment based on cloud computing is characterized by: The intelligent monitoring management and operation and maintenance system includes an equipment control power module, an equipment fault data module, a power consumption prediction module, a target power data module, and an intelligent operation and maintenance module; The device reference power module is used to obtain the power equipment in the power grid, obtain the historical power records of the power equipment, analyze the influence of different equipment operating environments on the equipment power of the power equipment, and evaluate the equipment operating status of the power equipment under different powers to obtain the equipment reference power of the power equipment; The device comparison power module includes a device comparison power unit; The equipment reference power unit is used to extract power data of the electric equipment from the acquired historical power records, obtain the time period when the electric equipment fails, analyze the influence of different equipment operating environments on the equipment power of the electric equipment, and evaluate the equipment operating status of the electric equipment under different powers to obtain the reference power of the electric equipment; The device control power unit comprises: Get the time period when the power equipment fails, and set the unit time length T Δ , obtaining the average power of the electric device in the time period every unit time, and taking the maximum value of the average power as the marked power of the electric device in the time period; Obtaining each time period during which the electric power equipment fails, and obtaining the marked power of the electric power equipment in each time period, and recording the minimum value of the marked power as the reference power of the electric power equipment; The equipment failure data module is used to obtain historical equipment failure records of electric equipment, extract equipment failure data from the historical equipment failure records, and when the equipment failure data is an electric equipment failure, collect equipment operation data of the electric equipment, analyze the equipment status of the electric equipment under different equipment operation data, and obtain target equipment failure data of the electric equipment; The power consumption prediction module is used to obtain the power consumption area supplied by the power grid, obtain the historical power consumption record of the power consumption area, obtain the power consumption data of the power consumption area from the historical power consumption record, and predict the power consumption of the power consumption area in the current cycle to obtain the predicted power consumption data of the power consumption area; The target power data module is used to obtain the historical energy consumption data and historical work efficiency data of the power equipment in the historical period, obtain the historical power data of the power equipment in the historical period, and analyze the energy consumption state and work efficiency of the power equipment under different powers in combination with the equipment reference power of the power equipment to obtain the target power data of the power equipment; The target power data module includes a data acquisition unit and a target power data unit; The data acquisition unit is used to monitor the energy consumption state and equipment working efficiency of the power equipment in each historical period, and acquire the historical energy consumption data and historical working efficiency data of the power equipment in each historical period, wherein the historical energy consumption data is the total amount of electricity consumed by the power equipment in the historical period, the historical working efficiency data is the average value of the working efficiency of the power equipment in the historical period, and the working efficiency is the output power of the power equipment divided by the input power of the power equipment; The target power data unit is used to obtain the historical power data of the power equipment in the historical period according to the historical energy consumption data and the historical working efficiency data of the power equipment in each historical period, and analyze the energy consumption state and working efficiency of the power equipment under different powers in combination with the equipment reference power of the power equipment to obtain the target power data of the power equipment; The target power data unit includes: Acquire historical power data of the electric power equipment in a historical period, wherein the historical power data is the average power of the electric power equipment in the historical period; An average power threshold is set, and when the average power of the electric device in a certain historical period is less than the equipment reference power of the electric device, the certain historical period is marked; The average value of the working efficiency and the total power consumption of the power equipment in each marked historical period are normalized, and the characteristic equipment operation value of the power equipment in each marked historical period is calculated, wherein the characteristic equipment operation value of the power equipment in the marked fth historical period is Among them, H f is the total power consumption of the power equipment after normalization in the marked f-th historical period, Q f is the average value of the normalized working efficiency of the electric power equipment in the marked f-th historical period; Obtaining the maximum value of the characteristic device operation value, obtaining the average power of the power device in the marked historical period where the maximum value is located, recording it as the target average power of the power device, and obtaining the target power data of the power device; The intelligent operation and maintenance module is used to assign tasks to the power equipment in the power grid based on the predicted power data in combination with the target power data of the power equipment, and to monitor the equipment status of the power equipment in the current cycle based on the target equipment fault data of the power equipment, so as to perform intelligent operation and maintenance of the power equipment in the power grid.

2. The cloud computing-based intelligent monitoring, management and operation and maintenance system for electric power equipment according to claim 1 is characterized in that: The equipment failure data module includes a historical failure unit and a target equipment failure data unit; The historical fault unit is used to monitor the operation of the power equipment using sensors, and when the power equipment is determined to have a fault, the device status monitored before the power equipment fails is recorded to obtain a historical equipment fault record of the power equipment; The target equipment failure data unit is used to obtain the historical equipment failure records of the power equipment, and extract the equipment failure operation data of the power equipment from the historical equipment failure records, analyze the impact of different equipment operation data on the equipment operation of the power equipment, and obtain the target equipment failure data of the power equipment.

3. The cloud computing-based intelligent monitoring, management and operation and maintenance system for electric power equipment according to claim 2 is characterized in that: The target device fault data unit includes: Acquire equipment failure operation data of the electric equipment in each historical equipment failure record of the electric equipment, wherein the equipment failure operation data includes data corresponding to each equipment operation parameter of the electric equipment; Analyze the impact of different equipment operation data on the equipment operation of the power equipment, and obtain the target equipment failure data of the power equipment, wherein the specific analysis process is to obtain the maximum and minimum values ​​of each equipment operation parameter in the historical equipment failure record, and calculate the characteristic parameter change value of each equipment operation parameter in the historical equipment failure record, wherein the characteristic parameter change value of the bth equipment operation parameter in the historical equipment failure record Indicates the maximum value of the equipment operating parameter in item b in the historical equipment fault record. Indicates the minimum value of the equipment operating parameter in item b in the historical equipment fault record; When the characteristic parameter change value of a certain equipment operation parameter in the historical equipment fault record is greater than the preset characteristic parameter change threshold, it is determined that the certain equipment operation parameter in the historical equipment fault record is abnormal, and the certain equipment operation parameter is recorded as the characteristic equipment operation parameter of the historical equipment fault record; Obtain characteristic equipment operation parameters of each historical equipment fault record of the power equipment, obtain several historical equipment fault records containing a certain characteristic equipment operation parameter, obtain the minimum value of the maximum value of the certain characteristic equipment operation parameter in several historical equipment fault records, and record the minimum value as the marked operation abnormal value of the certain characteristic equipment operation parameter; The marked operation abnormal values ​​of various characteristic equipment operation parameters in the electric power equipment are obtained and collected to obtain the target equipment fault data of the electric power equipment.

4. The cloud computing-based intelligent monitoring, management and operation and maintenance system for electric power equipment according to claim 3 is characterized in that: The power consumption prediction module includes a historical power consumption record unit and a predicted power consumption data unit; The historical power consumption recording unit is used to obtain the power consumption area in the power grid that the power equipment is responsible for supplying power to, and to collect the power consumption data of the power consumption area in each historical period to obtain the historical power consumption record of the power consumption area; The predicted electricity data unit is used to obtain each historical electricity consumption record of the electricity consumption area, and extract the electricity consumption data of the electricity consumption area from each historical electricity consumption record, analyze the electricity consumption situation of the electricity consumption area, and obtain the predicted electricity data of the electricity consumption area in the current cycle.

5. The cloud computing-based intelligent monitoring, management and operation and maintenance system for electric power equipment according to claim 4 is characterized in that: The predicted power data unit includes: Acquire electricity consumption data of the electricity consumption area in the historical electricity consumption record, where the electricity consumption data is the total electricity consumption of the electricity consumption area in the historical period corresponding to the historical electricity consumption record; The electricity consumption data of the electricity consumption area in each historical electricity consumption record is input into the neural network prediction algorithm after model training, and the neural network prediction algorithm is used to predict the total electricity consumption of the electricity consumption area in the current cycle to obtain the predicted electricity data of the electricity consumption area in the current cycle.

6. The cloud computing-based intelligent monitoring, management and operation and maintenance system for electric power equipment according to claim 5 is characterized in that: The intelligent operation and maintenance module includes an intelligent operation and maintenance unit; The intelligent operation and maintenance unit is used to allocate corresponding task amounts to the power equipment in the power grid according to the predicted power consumption data of the power consumption area that the power equipment is responsible for supplying power, so that the average power of the power equipment in the current cycle is the same as the target average power of the target power data, and based on the target equipment fault data of the power equipment, perform fault detection on the power equipment in the current cycle and perform intelligent operation and maintenance on the power equipment in the power grid.

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