Operation data cloud storage method and system of high-low voltage complete power distribution cabinet

Abstract

The invention belongs to the technical field of computers, and aims to provide an operation data cloud storage method and system of a high-low voltage complete power distribution cabinet. According to the invention, the operation data of the specified high-low voltage complete power distribution cabinet is received in real time, and the operation data is uniformly stored and managed by using the cloud platform, so that a user can remotely access the data in real time; meanwhile, in combination with a big data analysis technology, real-time monitoring of the operation state of the specified high-low voltage complete power distribution cabinet is realized so as to find potential faults; besides, an intelligent health state evaluation model and an operation data prediction model are introduced, so that health evaluation and operation data prediction can be performed on the specified high-low voltage complete power distribution cabinet in advance, and data support is provided for maintenance and repair of the power distribution cabinet. According to the invention, the real-time performance and accessibility of data can be improved, health assessment and prediction of operation data can be realized based on the computing power of the cloud platform, and the security and reliability of a power system can be enhanced.

Description

Technical Field

[0001] The present invention belongs to the field of computer technology, and in particular relates to a cloud storage method and system for operation data of a high and low voltage complete set of power distribution cabinets. Background Art

[0002] High and low voltage complete sets of distribution cabinets are indispensable equipment in the power system. They are mainly used for the distribution, conversion, control and protection of electric energy and are widely used in industries, commerce and infrastructure. With the increasing complexity of power systems and the increasing requirements for the reliability of power equipment, the operation status monitoring and maintenance of distribution cabinets have gradually become an important part of ensuring the stable operation of power systems. In order to achieve effective management of distribution cabinet equipment, modern power equipment has gradually integrated various sensors to collect operation data, such as temperature, current and voltage. These operation data can not only reflect the immediate operation status of the equipment, but also detect potential faults in advance through long-term monitoring and analysis, thereby reducing the possibility of accidents.

[0003] Existing data storage solutions for distribution cabinets usually adopt local data storage, that is, the data recorder built into the distribution cabinet is responsible for collecting and storing the operating data of the equipment. Although this local storage method can ensure local acquisition of data, it also has significant technical bottlenecks. On the one hand, due to the scattered installation locations of distribution cabinets, the locally stored data is often difficult to summarize and analyze in a timely manner, resulting in poor real-time and accessibility of the data; on the other hand, with the increase in the number of distribution cabinet equipment, the amount of locally stored data has expanded dramatically. Traditional data storage methods face huge challenges in storage capacity and data retrieval efficiency, which limits the in-depth mining and analysis of historical data; in addition, the local storage method lacks efficient data analysis capabilities, and cannot intelligently analyze and process the massive data collected, making it difficult to predict equipment status and achieve intelligent operation and maintenance.

[0004] In response to the above problems, a data storage and analysis solution based on a cloud platform has been proposed in recent years. By uploading the operating data of the device to the cloud in real time, it can not only solve the problem of local storage capacity limitation, but also rely on the powerful data processing capabilities of cloud computing to achieve in-depth mining and analysis of massive data. However, in actual applications, the inventors found that the cloud storage solution in the prior art still has at least the following problems: First of all, the prior art often uses a timed upload method for data transmission. Although this method reduces the occupancy of the communication network bandwidth, it also leads to poor timeliness of data upload and cannot reflect the operating status of the distribution cabinet in real time. Especially when a sudden failure occurs in the equipment, the best processing opportunity may be missed due to delayed data upload.

[0005] Secondly, existing cloud storage solutions usually only upload data to the cloud platform for simple storage and display, lacking effective data analysis methods, making it difficult to use the large amount of stored historical data for intelligent analysis and prediction. Specifically, most existing cloud storage solutions rely on manual regular data export for offline analysis, which is inefficient and cannot achieve real-time monitoring of equipment status and fault warning. At the same time, for the intelligent operation and maintenance needs of power equipment, existing technologies are still unable to predict potential failures or abnormal conditions of equipment in real time. Summary of the invention

[0006] The present invention aims to solve the above technical problems at least to a certain extent. The present invention provides a cloud storage method and system for operation data of a high and low voltage complete set of power distribution cabinets.

[0007] In order to achieve the above object, the present invention adopts the following technical solutions: In a first aspect, the present invention provides a method for cloud storage of operation data of a high and low voltage complete set of power distribution cabinets, comprising: Receive the operating data collected by the data acquisition module in the specified high and low voltage complete distribution cabinet in real time, and store the operating data; Performing real-time analysis on the received operating data to obtain real-time analysis results of the designated high and low voltage complete distribution cabinet, and triggering an alarm action when the real-time analysis results indicate an abnormality; Input the operating data into a preset health status assessment model, so as to obtain a health assessment result of the specified high and low voltage complete set of power distribution cabinets based on the health status assessment model; wherein the health status assessment model is trained based on the historical operating data of the specified high and low voltage complete set of power distribution cabinets; The operation data is input into a preset operation data prediction model, so as to obtain the operation data prediction result of the specified high and low voltage complete set of power distribution cabinets based on the operation data prediction model; wherein the operation data prediction model is trained based on the historical operation data of the specified high and low voltage complete set of power distribution cabinets; The real-time analysis results, the operation data prediction results and the health assessment results are displayed visually.

[0008] In one possible design, the cloud platform adopts a distributed storage architecture and a regular backup mechanism to perform multiple backups of the stored operating data to facilitate rapid recovery of the operating data; correspondingly, after receiving the operating data, all received operating data are stored on multiple nodes.

[0009] In a possible design, the real-time analysis result of the specified high and low voltage complete set of power distribution cabinets is the moving average value of the operating data at the current time t; correspondingly, the received operating data is analyzed in real time to obtain the real-time analysis result of the specified high and low voltage complete set of power distribution cabinets, including: Using Sliding Window Calculate the moving average of the operating data at the current time t; wherein the moving average of the operating data at the current time t is: ; In the formula, is the operation data at the i-th moment; Determine whether the moving average value of the operating data at the current time t is greater than a preset threshold value. If so, determine that the moving average value is abnormal and trigger an alarm action. If not, do not take any action.

[0010] In a possible design, the health status assessment model adopts a support vector regression model; correspondingly, the health assessment result of the specified high and low voltage complete distribution cabinet at the current time t is: ; In the formula, is the nonlinear mapping of the operating data at the current time t, is a weight vector preset in the health status assessment model, T is a transposition sign, and b is a bias preset in the health status assessment model.

[0011] In a possible design, the operation data prediction model adopts an ARIMA model; correspondingly, the operation data prediction result of the specified high and low voltage complete distribution cabinet is: ; In the formula, , ,…and The operation data prediction model uses the preset regression coefficients in the ARIMA model, , ,…and are the operating data of the current time t, historical time t-1, ... and historical time t-n+1, ​​respectively, where n is a natural number greater than 1, The operation data prediction model adopts the random error term preset in the ARIMA model.

[0012] In one possible design, the method further includes: The real-time analysis result, the operation data prediction result and / or the health assessment result are sent to a user terminal that matches the designated high and low voltage complete distribution cabinet.

[0013] In a second aspect, the present invention provides an operation data cloud storage system for a high and low voltage complete set of power distribution cabinets, which is used to implement the operation data cloud storage method for a high and low voltage complete set of power distribution cabinets as described in any one of the above; the operation data cloud storage system for a high and low voltage complete set of power distribution cabinets comprises: A data storage module is used to receive in real time the operating data collected by the data collection module in the specified high and low voltage complete distribution cabinet, and store the operating data; A data real-time analysis module, which is in communication connection with the data storage module, is used to perform real-time analysis on the received operation data, obtain the real-time analysis result of the specified high and low voltage complete distribution cabinet, and trigger an alarm action when the real-time analysis result shows that an abnormality occurs; A health assessment module, which is in communication with the data storage module and is used to input the operating data into a preset health status assessment model, so as to obtain a health assessment result of the specified high and low voltage complete distribution cabinet based on the health status assessment model; wherein the health status assessment model is trained based on the historical operating data of the specified high and low voltage complete distribution cabinet; A data prediction module, which is in communication with the data storage module and is used to input the operation data into a preset operation data prediction model, so as to obtain the operation data prediction result of the specified high and low voltage complete distribution cabinet based on the operation data prediction model; wherein the operation data prediction model is trained based on the historical operation data of the specified high and low voltage complete distribution cabinet; The visualization display module is respectively connected to the real-time data analysis module, the health assessment module and the data prediction module for visually displaying the real-time analysis results, the operation data prediction results and the health assessment results.

[0014] In a third aspect, the present invention provides an electronic device, comprising: a memory for storing computer program instructions; and, A processor is used to execute the computer program instructions to complete the operation of the cloud storage method for operating data of a high and low voltage complete distribution cabinet as described in any one of the above items.

[0015] In a fourth aspect, the present invention provides a computer-readable storage product, characterized in that instructions are stored on the computer-readable storage product, and when the instructions are run on a computer, a cloud storage method for operating data of a high and low voltage complete distribution cabinet as described in any one of the above items is executed.

[0016] In a fifth aspect, the present invention provides a computer program product, including a computer program or instructions, which, when executed by a computer, implements a cloud storage method for operating data of a high and low voltage complete set of power distribution cabinets as described in any one of the above items.

[0017] The beneficial effects of the present invention are: The present invention discloses a cloud storage method, system, electronic device and product for operation data of a high and low voltage complete set of power distribution cabinets, which can not only improve the real-time and accessibility of data, but also realize health assessment and prediction of operation data by relying on the computing power of the cloud platform, which is conducive to enhancing the safety and reliability of the power system. Specifically, during the implementation process of the present invention, by receiving the operation data collected by the data acquisition module in the specified high and low voltage complete set of power distribution cabinets in real time, the cloud platform is used to uniformly store and manage the operation data, thereby eliminating the problem of data islands and facilitating users to remotely access data in real time; at the same time, the present invention combines big data analysis technology to realize real-time monitoring of the operation status of the specified high and low voltage complete set of power distribution cabinets to discover potential faults; in addition, the present invention also introduces an intelligent health status assessment model and an operation data prediction model, which can perform health assessment and operation data prediction on the specified high and low voltage complete set of power distribution cabinets in advance, and then warn of possible fault problems of the equipment, and provide data support for the maintenance and repair of the power distribution cabinet. The application of the present invention will greatly improve the operation and maintenance efficiency of high and low voltage complete sets of power distribution cabinets, and provide a strong guarantee for the safe and stable operation of the power system.

[0018] Other beneficial effects of the present invention will be further described in the specific embodiments. BRIEF DESCRIPTION OF THE DRAWINGS

[0019] Figure 1 It is a flow chart of the cloud storage method for operation data of the high and low voltage complete distribution cabinet in Example 1; Figure 2 It is a module block diagram of the operation data cloud storage system of the high and low voltage complete set of power distribution cabinets in Example 2; Figure 3 This is a module block diagram of the electronic device in Example 3. DETAILED DESCRIPTION

[0020] In order to more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the present invention will be briefly introduced below in combination with the drawings and the description of the embodiments or the prior art. Obviously, the following description of the structure of the drawings is only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without creative work. It should be noted that the description of these embodiments is used to help understand the present invention, but does not constitute a limitation of the present invention.

[0021] Embodiment 1: This embodiment discloses a cloud storage method for operating data of a high and low voltage complete distribution cabinet, which can be executed by, but is not limited to, a computer device or a virtual machine with certain computing resources, such as a personal computer, a smart phone, a personal digital assistant, or a wearable device, or by a virtual machine.

[0022] like Figure 1 As shown, a method for cloud storage of operation data of a high and low voltage complete set of power distribution cabinets may include but is not limited to the following steps: S1. Receive the operating data collected by the data acquisition module in the designated high and low voltage complete distribution cabinet in real time, and store the operating data; specifically, the operating data in this embodiment includes but is not limited to temperature, current, voltage and humidity, etc. After the cloud platform receives the operating data, it also performs pre-processing such as filtering and denoising on the operating data in order to store the pre-processed operating data, thereby ensuring the validity and accuracy of the data stored in the cloud platform. In this embodiment, the operating data of each high and low voltage complete distribution cabinet in the designated area is uploaded to the cloud platform in real time, which can realize the access to the operating data of each high and low voltage complete distribution cabinet in the designated area anytime and anywhere, thereby improving the response speed and operation and maintenance efficiency of the power system.

[0023] In order to avoid the problem that a large amount of data may cause network congestion or data loss, thereby affecting the overall performance of the cloud platform, this embodiment further makes the following improvements: the cloud platform adopts a distributed storage architecture and a regular backup mechanism to perform multiple backups of the stored operating data, so as to facilitate the rapid recovery of the operating data, thereby further ensuring data security and reliability; correspondingly, in step S1, after receiving the operating data, all received operating data are stored on multiple nodes to ensure high availability and fault tolerance of the data. Specifically, in this embodiment, the cloud platform is provided with a distributed storage database, and the received operating data is stored on multiple nodes of the distributed storage database, which can ensure the high availability and scalability of the stored data.

[0024] In addition, during the implementation process, version control is further used for data storage to ensure the integrity of the historical data of the stored data.

[0025] In this embodiment, the cloud platform also provides a real-time data monitoring function, and users such as maintenance personnel and management personnel can access the operating status of each high and low voltage complete distribution cabinet in the specified area through remote devices (such as computers and mobile phones).

[0026] During the implementation of this embodiment, the specified high and low voltage complete distribution cabinets use wired or wireless communication networks (such as Ethernet, 4G / 5G networks, LoRa, etc.) to upload the operating data to the cloud platform, and the data transmission process can further use encrypted transmission protocols (such as TLS / SSL) to ensure data security.

[0027] S2. Perform real-time analysis on the received operating data to obtain real-time analysis results of the designated high and low voltage complete power distribution cabinet, and trigger an alarm action when the real-time analysis results show an abnormality. It should be noted that step S2 of this embodiment is used for real-time analysis and alarm of the real-time uploaded operating data, in order to achieve real-time monitoring of the operating data of the designated high and low voltage complete power distribution cabinet, so as to facilitate notifying the operation and maintenance personnel to respond quickly at the first moment when the status of the designated high and low voltage complete power distribution cabinet is abnormal.

[0028] In this embodiment, a sliding window mechanism is used to obtain the real-time analysis result of the specified high and low voltage complete distribution cabinet, and the real-time analysis result of the specified high and low voltage complete distribution cabinet is the moving average of the operating data at the current time t; correspondingly, in step S2, the received operating data is analyzed in real time to obtain the real-time analysis result of the specified high and low voltage complete distribution cabinet, including: S201. Using sliding windows Calculate the moving average of the operating data at the current time t; wherein the moving average of the operating data at the current time t is: ; In the formula, is the operation data at the i-th moment; S202. Determine whether the moving average value of the operating data at the current time t is greater than the preset threshold value. If so, it is determined that the moving average value is abnormal and an alarm action is triggered, such as remote power-off of the specified high and low voltage complete distribution cabinet or adjustment of relevant operating parameters of the specified high and low voltage complete distribution cabinet and other emergency actions, which are not restricted here; if not, no action is taken.

[0029] As an example, in this embodiment, when the operating data is temperature, assuming that the sliding window size is , the temperatures at time t-4, t-3, ... and t are 25.5°C, 26.0°C, 28.0°C, 29.5°C and 30.2°C respectively, then the calculated moving average temperature at the current time t is ℃, if the set temperature threshold is 27℃, the temperature moving average is considered abnormal and the system triggers an alarm.

[0030] S3. Input the operating data into a preset health status assessment model so as to obtain the health assessment result of the specified high and low voltage complete distribution cabinet based on the health status assessment model; wherein, the health status assessment model is trained based on the historical operating data of the specified high and low voltage complete distribution cabinet.

[0031] In step S3, the health status assessment model adopts a support vector regression (SVR) model; correspondingly, the health assessment result of the specified high and low voltage complete distribution cabinet at the current time t is: ; In the formula, is the nonlinear mapping of the operating data at the current time t, is a weight vector preset in the health status assessment model, T is a transposition sign, and b is a bias preset in the health status assessment model.

[0032] It should be noted that, in this embodiment, the health status of the designated high and low voltage complete distribution cabinet is predicted through the health status assessment model, so that the maintenance personnel can know the preventive maintenance of the designated high and low voltage complete distribution cabinet.

[0033] In this embodiment, the health status assessment model is implemented using a support vector regression model. It should be noted that the support vector regression model has high-dimensional data processing and nonlinear modeling capabilities. It can be applied to multi-factor comprehensive assessment of equipment health status. It also has strong generalization capabilities and can avoid overfitting. It can provide accurate health assessment results even when the amount of data is small or there is noise.

[0034] S4. Input the operating data into a preset operating data prediction model so as to obtain the operating data prediction result of the specified high and low voltage complete distribution cabinet based on the operating data prediction model; wherein, the operating data prediction model is trained based on the historical operating data of the specified high and low voltage complete distribution cabinet.

[0035] In step S4, the operation data prediction model adopts the ARIMA model (Autoregressive Integrated Moving Average Model); correspondingly, the operation data prediction result of the specified high and low voltage complete distribution cabinet is: ; In the formula, , ,…and The operation data prediction model uses the preset regression coefficients in the ARIMA model, , ,…and are the operating data of the current time t, historical time t-1, ... and historical time t-n+1, ​​respectively, where n is a natural number greater than 1, The operation data prediction model adopts the random error term preset in the ARIMA model.

[0036] It should be noted that, in this embodiment, by adopting the operation data prediction model, based on historical operation data, the operation data of the specified high and low voltage complete distribution cabinet at the future time t' is predicted, so as to predict possible equipment failures or performance degradation problems in advance and perform preventive maintenance on the specified high and low voltage complete distribution cabinet.

[0037] As an example, in this embodiment, when the operating data is temperature, such as n is 7, assuming that the temperatures at times t-6, t-5, ... and t are 25.1°C, 25.3°C, 25.5°C, 26.0°C, 28.0°C, 29.5°C and 30.2°C respectively, at this time, according to the corresponding ARIMA model, if the temperature prediction value at the future time t+1 is calculated to be 31.0°C, and the temperature prediction value at the future time t+2 is 32.5°C, then based on the preset temperature threshold, it can be determined whether the temperature prediction value at the future time will exceed the temperature threshold, and an alarm action can be performed when the temperature threshold is exceeded.

[0038] In this embodiment, the operation data prediction model adopts the ARIMA model. It should be noted that the ARIMA model is good at processing time series data and is suitable for short-term prediction of power equipment operation data. It can capture the time dependence, trend and seasonal characteristics in the data, especially in the short-term operation status changes of the equipment.

[0039] In this embodiment, based on the above steps S2 to S4, real-time monitoring and analysis of the operating status, health assessment and future trend prediction of the specified high and low voltage complete distribution cabinets are realized, which can provide a data basis for the generation of intelligent operation and maintenance strategies for high and low voltage complete distribution cabinets in the power system.

[0040] S5. Visually display the real-time analysis results, the operation data prediction results, and the health assessment results. It should be noted that in this embodiment, the cloud platform can generate real-time operation status monitoring information, trend prediction charts, and early warning reports based on the real-time analysis results, the health assessment results, and the operation data prediction results, and visualize them, so that maintenance personnel can quickly understand the operation status of the specified high and low voltage complete distribution cabinets, and perform preventive maintenance operations such as real-time response to the specified high and low voltage complete distribution cabinets.

[0041] The method further comprises: S6. Send the real-time analysis results, the operation data prediction results and / or the health assessment results to the user terminal that matches the specified high and low voltage complete set of power distribution cabinets. It should be noted that based on this, it can ensure that the operation and maintenance personnel and management personnel of the specified high and low voltage complete set of power distribution cabinets can understand the operation status of the specified high and low voltage complete set of power distribution cabinets in real time.

[0042] This embodiment can not only improve the real-time and accessibility of data, but also rely on the computing power of the cloud platform to achieve health assessment and prediction of operating data, which is conducive to enhancing the safety and reliability of the power system. Specifically, during the implementation of this embodiment, by receiving the operating data collected by the data acquisition module in the specified high and low voltage complete distribution cabinet in real time, the cloud platform is used to uniformly store and manage the operating data, eliminating the data island problem, and facilitating users to remotely access data in real time; at the same time, this embodiment combines big data analysis technology to achieve real-time monitoring of the operating status of the specified high and low voltage complete distribution cabinet to discover potential faults; in addition, this embodiment also introduces an intelligent health status assessment model and an operating data prediction model, which can perform health assessment and operating data prediction on the specified high and low voltage complete distribution cabinet in advance, and then warn of possible faults in the equipment, and provide data support for the maintenance and repair of the distribution cabinet. The application of this embodiment will greatly improve the operation and maintenance efficiency of high and low voltage complete distribution cabinets, and provide a strong guarantee for the safe and stable operation of the power system.

[0043] Embodiment 2: This embodiment discloses a cloud storage system for operation data of a high and low voltage complete set of power distribution cabinets, which is used to implement the cloud storage method for operation data of a high and low voltage complete set of power distribution cabinets in Embodiment 1; Figure 2 As shown, the operation data cloud storage system of the high and low voltage complete distribution cabinet includes: A data storage module is used to receive in real time the operating data collected by the data collection module in the specified high and low voltage complete distribution cabinet, and store the operating data; A data real-time analysis module, which is in communication connection with the data storage module, is used to perform real-time analysis on the received operation data, obtain the real-time analysis result of the specified high and low voltage complete distribution cabinet, and trigger an alarm action when the real-time analysis result shows that an abnormality occurs; A health assessment module, which is in communication with the data storage module and is used to input the operating data into a preset health status assessment model, so as to obtain a health assessment result of the specified high and low voltage complete distribution cabinet based on the health status assessment model; wherein the health status assessment model is trained based on the historical operating data of the specified high and low voltage complete distribution cabinet; A data prediction module, which is in communication with the data storage module and is used to input the operation data into a preset operation data prediction model, so as to obtain the operation data prediction result of the specified high and low voltage complete distribution cabinet based on the operation data prediction model; wherein the operation data prediction model is trained based on the historical operation data of the specified high and low voltage complete distribution cabinet; The visualization display module is respectively connected to the real-time data analysis module, the health assessment module and the data prediction module for visually displaying the real-time analysis results, the operation data prediction results and the health assessment results.

[0044] It should be noted that the working process, working details and technical effects of the operation data cloud storage system of the high and low voltage complete distribution cabinets provided in this embodiment 2 can be found in embodiment 1 and will not be repeated here.

[0045] Embodiment 3: Based on Embodiment 1 or 2, this embodiment discloses an electronic device, which may be a smart phone, a tablet computer, a laptop computer, or a desktop computer. The electronic device may be referred to as a user terminal, a portable terminal, a desktop terminal, etc. Figure 3 As shown, the electronic equipment includes: a memory for storing computer program instructions; and, A processor is used to execute the computer program instructions to complete the operation of the cloud storage method for operating data of a high and low voltage complete distribution cabinet as described in any one of Example 1.

[0046] Specifically, the processor 301 may include one or more processing cores, such as a 4-core processor, an 8-core processor, etc. The processor 301 may be implemented in at least one hardware form of DSP (Digital Signal Processing), FPGA (Field-Programmable Gate Array), and PLA (Programmable Logic Array). The processor 301 may also include a main processor and a coprocessor. The main processor is a processor for processing data in the awake state, also known as a CPU (Central Processing Unit); the coprocessor is a low-power processor for processing data in the standby state. In some embodiments, the processor 301 may be integrated with a GPU (Graphics Processing Unit), which is responsible for rendering and drawing the content to be displayed on the display screen.

[0047] The memory 302 may include one or more computer-readable storage media, which may be non-transitory. The memory 302 may also include a high-speed random access memory, and a non-volatile memory, such as one or more disk storage devices, flash memory storage devices. In some embodiments, the non-transitory computer-readable storage medium in the memory 302 is used to store at least one instruction, which is used to be executed by the processor 301 to implement the operation data cloud storage method of the high and low voltage complete set of power distribution cabinets provided in Example 1 of the present application.

[0048] In some embodiments, the terminal may further optionally include: a communication interface 303 and at least one peripheral device. The processor 301, the memory 302 and the communication interface 303 may be connected via a bus or a signal line. Each peripheral device may be connected to the communication interface 303 via a bus, a signal line or a circuit board. Specifically, the peripheral device includes: at least one of a radio frequency circuit 304, a display screen 305 and a power supply 306.

[0049] The communication interface 303 may be used to connect at least one peripheral device related to I / O (Input / Output) to the processor 301 and the memory 302. In some embodiments, the processor 301, the memory 302, and the communication interface 303 are integrated on the same chip or circuit board; in some other embodiments, any one or two of the processor 301, the memory 302, and the communication interface 303 may be implemented on a separate chip or circuit board, which is not limited in this embodiment.

[0050] The radio frequency circuit 304 is used to receive and transmit RF (Radio Frequency) signals, also known as electromagnetic signals. The radio frequency circuit 304 communicates with a communication network and other communication devices through electromagnetic signals.

[0051] The display screen 305 is used to display a UI (User Interface). The UI may include any combination of graphics, text, icons, and videos.

[0052] The power supply 306 is used to supply power to various components in the electronic device.

[0053] Embodiment 4: Based on any one of embodiments 1 to 3, this embodiment discloses a computer-readable storage product, characterized in that instructions are stored on the computer-readable storage product, and when the instructions are executed on a computer, the operation data cloud storage method of the high and low voltage complete distribution cabinet as described in any one of embodiment 1 is executed. The computer-readable storage product refers to a carrier for storing data, which may include but is not limited to computer-readable storage media such as floppy disks, optical disks, hard disks, flash memories, USB flash drives and / or memory sticks, and the computer may be a general-purpose computer, a special-purpose computer, a computer network or other programmable devices.

[0054] Embodiment 5: Based on any one of Embodiments 1 to 3, this embodiment discloses a computer program product, including a computer program or an instruction, which, when executed by a computer, implements the cloud storage method for operation data of a high and low voltage complete set of power distribution cabinets as described in any one of Embodiments 1. The computer may be a general-purpose computer, a special-purpose computer, a computer network, or other programmable devices.

[0055] Obviously, those skilled in the art should understand that the above modules or steps of the present invention can be implemented by a general computing device, they can be concentrated on a single computing device, or distributed on a network composed of multiple computing devices, and optionally, they can be implemented by a program code executable by a computing device, so that they can be stored in a storage device and executed by the computing device, or they can be made into individual integrated circuit modules, or multiple modules or steps therein can be made into a single integrated circuit module for implementation. Thus, the present invention is not limited to any specific combination of hardware and software.

[0056] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention, rather than to limit them; although the present invention has been described in detail with reference to the above embodiments, a person skilled in the art should understand that the technical solutions described in the above embodiments can still be modified, or some of the technical features can be replaced by equivalents. However, these modifications or replacements do not deviate the essence of the corresponding technical solutions from the spirit and scope of the technical solutions of the embodiments of the present invention.

Claims

1. A cloud storage method for operation data of a high and low voltage complete set of power distribution cabinets, characterized in that: Executed by a cloud platform, the method includes: Receive the operating data collected by the data acquisition module in the specified high and low voltage complete distribution cabinet in real time, and store the operating data; Performing real-time analysis on the received operating data to obtain real-time analysis results of the designated high and low voltage complete distribution cabinet, and triggering an alarm action when the real-time analysis results indicate an abnormality; Input the operating data into a preset health status assessment model, so as to obtain a health assessment result of the specified high and low voltage complete set of power distribution cabinets based on the health status assessment model; wherein the health status assessment model is trained based on the historical operating data of the specified high and low voltage complete set of power distribution cabinets; The operation data is input into a preset operation data prediction model, so as to obtain the operation data prediction result of the specified high and low voltage complete set of power distribution cabinets based on the operation data prediction model; wherein the operation data prediction model is trained based on the historical operation data of the specified high and low voltage complete set of power distribution cabinets; The real-time analysis results, the operation data prediction results and the health assessment results are displayed visually.

2. The method for cloud storage of operation data of a high and low voltage complete set of power distribution cabinets according to claim 1 is characterized in that: The cloud platform adopts a distributed storage architecture and a regular backup mechanism to perform multiple backups of the stored operating data to facilitate rapid recovery of the operating data; correspondingly, after receiving the operating data, all received operating data are stored on multiple nodes.

3. The method for cloud storage of operation data of a high and low voltage complete set of power distribution cabinets according to claim 1 is characterized in that: The real-time analysis result of the specified high and low voltage complete set of power distribution cabinets is the moving average value of the operating data at the current time t; correspondingly, the received operating data is analyzed in real time to obtain the real-time analysis result of the specified high and low voltage complete set of power distribution cabinets, including: Using Sliding Window Calculate the moving average of the operating data at the current time t; wherein the moving average of the operating data at the current time t is: ； In the formula, is the operation data at the i-th moment; Determine whether the moving average value of the operating data at the current time t is greater than a preset threshold value. If so, determine that the moving average value is abnormal and trigger an alarm action. If not, do not take any action.

4. The method for cloud storage of operation data of a high and low voltage complete set of power distribution cabinets according to claim 1 is characterized in that: The health status assessment model adopts a support vector regression model; correspondingly, the health assessment result of the specified high and low voltage complete distribution cabinet at the current time t is: ； In the formula, is the nonlinear mapping of the operating data at the current time t, is a weight vector preset in the health status assessment model, T is a transposition sign, and b is a bias preset in the health status assessment model.

5. The method for cloud storage of operation data of a high and low voltage complete set of power distribution cabinets according to claim 1 is characterized in that: The operation data prediction model adopts the ARIMA model; correspondingly, the operation data prediction result of the specified high and low voltage complete distribution cabinet is: ； In the formula, , ,…and The operation data prediction model uses the preset regression coefficients in the ARIMA model, , ,…and are the operating data of the current time t, historical time t-1, ... and historical time t-n+1, ​​respectively, where n is a natural number greater than 1, The operation data prediction model adopts the random error term preset in the ARIMA model.

6. The method for cloud storage of operation data of a high and low voltage complete set of power distribution cabinets according to claim 1 is characterized in that: The method further comprises: The real-time analysis result, the operation data prediction result and / or the health assessment result are sent to a user terminal that matches the designated high and low voltage complete distribution cabinet.

7. A cloud storage system for operation data of a high and low voltage complete set of power distribution cabinets, characterized in that: A method for cloud storage of operating data of a high and low voltage complete set of power distribution cabinets according to any one of claims 1 to 6; The operation data cloud storage system of the high and low voltage complete distribution cabinet includes: A data storage module is used to receive in real time the operating data collected by the data collection module in the specified high and low voltage complete distribution cabinet, and store the operating data; A data real-time analysis module, which is in communication connection with the data storage module, is used to perform real-time analysis on the received operation data, obtain the real-time analysis result of the specified high and low voltage complete distribution cabinet, and trigger an alarm action when the real-time analysis result shows that an abnormality occurs; A health assessment module, which is in communication with the data storage module and is used to input the operating data into a preset health status assessment model, so as to obtain a health assessment result of the specified high and low voltage complete distribution cabinet based on the health status assessment model; wherein the health status assessment model is trained based on the historical operating data of the specified high and low voltage complete distribution cabinet; A data prediction module, which is in communication with the data storage module and is used to input the operation data into a preset operation data prediction model, so as to obtain the operation data prediction result of the specified high and low voltage complete distribution cabinet based on the operation data prediction model; wherein the operation data prediction model is trained based on the historical operation data of the specified high and low voltage complete distribution cabinet; The visualization display module is respectively connected to the real-time data analysis module, the health assessment module and the data prediction module for visually displaying the real-time analysis results, the operation data prediction results and the health assessment results.

8. An electronic device, characterized in that: include: a memory for storing computer program instructions; as well as, A processor is used to execute the computer program instructions to complete the operation of the cloud storage method for operating data of a high and low voltage complete distribution cabinet as described in any one of claims 1 to 6.

9. A computer readable storage product, characterized in that: The computer-readable storage product stores instructions, and when the instructions are executed on a computer, the cloud storage method for operating data of a high and low voltage complete distribution cabinet as described in any one of claims 1 to 6 is executed.

10. A computer program product comprising a computer program or instructions, characterized in that When the computer program or the instruction is executed by a computer, the method for cloud storage of operating data of a high and low voltage complete distribution cabinet as described in any one of claims 1 to 6 is implemented.

Images