Remote fault diagnosis system and method for power transformation equipment based on cloud platform

Abstract

The invention relates to the technical field of electric power supply, in particular to a remote fault diagnosis system and method for power transformation equipment based on a cloud platform, which comprises a data acquisition module, a fault diagnosis module and an information feedback module, and is characterized in that the data acquisition module is used for acquiring parameter information of a real-time operation condition of the equipment, and the fault diagnosis module is used for analyzing and diagnosing a fault type; and the information feedback module is used for pushing the fault information to the user and the fault processing personnel. The method effectively reduces the economic loss of the power grid affected by the user fault, reduces the maintenance cost of the power grid, guarantees the normal operation of power equipment, reduces the occurrence of power accidents, improves the working efficiency, and improves the safety and reliability of operation.

Description

Technical Field

[0001] The present invention relates to the technical field of electric power supply, and is a cloud platform-based remote fault diagnosis system and method for substation equipment. Background Art

[0002] With the in-depth development of power grid mobile application construction and the increasing maturity of mobile Internet of Things technology, grassroots personnel are increasingly demanding smart power grids.

[0003] Smart grids require the improvement of informationization, automation, and interactivity in all aspects of power generation, transmission, transformation, distribution, power consumption, and dispatching, and form a multifunctional service platform through deep integration with the Internet of Things and the Internet. The existing maintenance model uses manual duty and fixed-point inspections, which has the problem of uncertain time for maintenance personnel to rush to the fault site and too long time to find the fault point and fault type.

[0004] Therefore, there is an urgent need for a remote fault diagnosis system and method for substation equipment based on a cloud platform to solve the above-mentioned problems. Summary of the invention

[0005] The present invention provides a remote fault diagnosis system and method for substation equipment based on a cloud platform, which overcomes the shortcomings of the above-mentioned prior art and can effectively solve the problems in the existing maintenance model that the maintenance personnel have uncertain time to rush to the fault site and the time to find the fault point and fault type is too long.

[0006] One of the technical solutions of the present invention is achieved by the following measures: a remote fault diagnosis system for substation equipment based on a cloud platform, comprising a data acquisition module, a fault diagnosis module and an information feedback module; Among them, the data acquisition module is used to collect parameter information of the real-time operating status of the equipment; Among them, the fault diagnosis module is used to analyze and diagnose the fault type; Among them, the information feedback module is used to push fault information to users and fault handling personnel.

[0007] The following is a further optimization and / or improvement of one of the above-mentioned technical solutions: The above-mentioned data acquisition module may include a non-electrical parameter acquisition unit and an electrical parameter acquisition unit; Wherein, the non-electrical parameter acquisition unit is used to acquire non-electrical parameters; The electrical parameter acquisition unit is used to acquire electrical parameters.

[0008] The above-mentioned non-electrical parameter acquisition unit can use a digital sensor acquisition circuit to collect ambient temperature and air relative humidity information, and send the collection results to the system cloud platform.

[0009] The above-mentioned electrical parameter acquisition unit can adopt a Hall element distributed acquisition circuit to collect the working voltage, current and power information of the monitoring point, and send the collection results to the system cloud platform.

[0010] The above-mentioned fault diagnosis module may include a cloud building unit, a cloud storage unit and a cloud computing unit; Among them, the cloud building unit is used to build a dedicated private cloud platform and build a hybrid cloud; Wherein, the cloud storage unit is used to define a distributed storage program; Among them, the cloud computing unit is used to write neural network algorithm statements for reasoning, write corresponding programs with specific computing logic, and write them into the cloud platform virtual server to run online to realize analysis and diagnosis of fault types.

[0011] The above-mentioned information feedback module may include a WeChat release feedback unit on the customer side and an alarm feedback unit on the service platform on the power supply side; Among them, the WeChat release feedback unit on the customer side is used to communicate with the WeChat server through a standard data interface, and push the fault information to the WeChat account of the person in charge bound to the customer through the WeChat public account; Among them, the alarm feedback unit of the power supply side service platform is used to push fault information to the fault handling personnel after reaching a fault judgment conclusion, and at the same time send reminders to the corresponding equipment operation and maintenance personnel role account.

[0012] The second technical solution of the present invention is achieved by the following measures: a remote fault diagnosis method for substation equipment based on a cloud platform, comprising: Collecting parameter information of the real-time operating status of the equipment, wherein the parameter information includes non-electrical parameters and electrical parameters; Build a dedicated private cloud platform and form a hybrid cloud, define distributed storage programs; write neural network algorithm statements for reasoning, write corresponding programs with specific computing logic, and write them into the cloud platform virtual server to run online to realize analysis and diagnosis of fault types; Push fault information to users and fault handlers.

[0013] The following is a further optimization and / or improvement of the second technical solution of the above invention: The above-mentioned specific calculation logic may be: inputting a state abnormal quantity signal, and the neural network algorithm automatically outputting a diagnosis result, wherein the diagnosis result includes the fault type, fault location point and fault degree.

[0014] When the fault information is pushed as mentioned above, the standard data interface can be used to communicate with the WeChat server, and the fault information can be pushed to the WeChat account of the person in charge bound to the customer through the WeChat public account; after the fault identification conclusion is reached, the fault information is pushed to the fault handling personnel, and a reminder is sent to the corresponding equipment operation and maintenance personnel role account.

[0015] The present invention realizes intelligent perception of the operation of the power transformation and distribution equipment on the customer side, establishes a remote fault diagnosis system based on a cloud platform, meets the needs of building a ubiquitous power Internet of Things, and fully improves the energy service level of the power supply unit for customers. The present invention enables the operation and maintenance personnel to understand the operating status of the power transformation and distribution equipment in real time, and when a fault occurs, the operation and maintenance personnel receive the alarm information as soon as possible, so as to take corresponding measures in time, improve the power quality of the power grid, effectively reduce the economic losses caused by user failures to the power grid, effectively reduce the maintenance cost of the power grid, ensure the normal operation of power equipment, and reduce the occurrence of power accidents. By utilizing the Internet + Internet of Things technology, the present invention receives the fault information as soon as possible, and after further analysis by the monitoring personnel, the fault handling demand instructions and specific requirements are issued to the on-site operation responsible personnel, thereby improving work efficiency and improving the safety and reliability of operation. BRIEF DESCRIPTION OF THE DRAWINGS

[0016] Attached Figure 1 The present invention is a schematic diagram of the structure of a remote fault diagnosis system for substation equipment based on a cloud platform according to an embodiment of the present invention. DETAILED DESCRIPTION

[0017] The present invention is not limited by the following embodiments, and specific implementation methods can be determined based on the technical solution of the present invention and actual conditions.

[0018] The present invention will be further described below in conjunction with embodiments: Embodiment 1: As attached Figure 1 As shown, the remote fault diagnosis system for substation equipment based on the cloud platform includes a data acquisition module, a fault diagnosis module and an information feedback module; The data acquisition module is used to collect parameter information of the real-time operating status of the equipment. In this embodiment, the parameter information includes non-electrical parameters and electrical parameters. The data acquisition module includes a non-electrical parameter acquisition unit and an electrical parameter acquisition unit. In this embodiment, the non-electrical parameter acquisition unit is used to collect non-electrical parameters. The non-electrical parameter acquisition unit uses a digital sensor acquisition circuit to collect ambient temperature and air relative humidity information, and sends the acquisition results to the system cloud platform. The digital sensor includes a sensitive element, a sensing element and a conversion circuit. The sensitive element is used to sense the changes in the measured value, and the conversion element is used to convert the signal of the sensitive element into a circuit parameter.

[0019] In this embodiment, the electrical parameter acquisition unit is used to collect electrical parameters. The electrical parameter acquisition unit adopts a Hall element distributed acquisition circuit to collect the working voltage, current and power information of the monitoring point, and sends the collection results to the system cloud platform.

[0020] Among them, the fault diagnosis module is used to analyze and diagnose the fault type; the fault diagnosis module includes a cloud building unit, a cloud storage unit and a cloud computing unit; In this embodiment, the cloud building unit is used to build a dedicated private cloud platform and a hybrid cloud. It builds the IT infrastructure, service request and service creation of the private cloud based on the OpenStock development tool, and burns the software by the corresponding virtual server. At the same time, the network port is connected to the public cloud port to build a hybrid cloud to realize information exchange and sharing.

[0021] In this embodiment, the cloud storage unit is used to define a distributed storage program; specifically, it develops an SDS software-defined distributed storage program based on C language and summarizes it in the implementation language of the framework diagram.

[0022] In this embodiment, the cloud computing unit is used to write neural network algorithm statements for reasoning, write corresponding programs with specific computing logic, and write them into the cloud platform virtual server for online operation to realize the analysis and diagnosis of fault types; wherein, the neural network algorithm statements can be written in Python language. Among them, in this embodiment, the specific computing logic is: input state abnormal quantity signal, the neural network algorithm automatically outputs the diagnosis result, and the diagnosis result includes the fault type, fault location point and fault degree.

[0023] Among them, the information feedback module is used to push fault information to users and fault handling personnel; the information feedback module includes a customer-side WeChat release feedback unit and a power supply-side service platform alarm feedback unit; In this embodiment, the WeChat release feedback unit on the client side is used to communicate with the WeChat server through a standard data interface, and push the fault information to the WeChat account of the person in charge bound to the customer through the WeChat public account, so as to ensure that the customer can understand the fault information at the first time. In specific applications, it is necessary to publish on WeChat, develop a WeChat service public account, and set up the corresponding data interface; develop a data interface for the WeChat public account information push platform, complete the public account interface design, function menu design, and push template formulation, and use a test account to simulate the role of the customer person in charge, follow the public account and verify personal and company information, and complete the relationship binding. Customers can also query the progress of fault handling through the public account function menu, and review the historical fault records and disposal of the distribution room.

[0024] In this embodiment, the alarm feedback unit of the power supply side service platform is used to push fault information to the fault handling personnel after reaching a fault identification conclusion, and send reminders to the corresponding equipment operation and maintenance personnel role account. Among them, the fault information can be pushed to the service platform alarm display interface for service platform alarm release; a new fault alarm dedicated interface is added to the service platform to complete page design and data transmission debugging. After further analysis by the monitoring personnel, the fault handling demand instructions and specific requirements are issued to the on-site operation responsible personnel, thereby improving work efficiency and improving the safety and reliability of operation.

[0025] The remote fault diagnosis system for substation equipment based on the cloud platform realizes the intelligent perception of the operation of the substation and distribution equipment on the customer side, establishes a remote fault diagnosis system based on the cloud platform, meets the needs of building a ubiquitous power Internet of Things, and fully improves the energy service level of the power supply unit for customers. It enables the operation and maintenance personnel to understand the operating status of the substation and distribution equipment in real time, and receive the alarm information as soon as a fault occurs, so as to take corresponding measures in time, improve the power quality of the power grid, effectively reduce the economic losses caused by user faults, effectively reduce the maintenance cost of the power grid, ensure the normal operation of power equipment, and reduce the occurrence of power accidents. By using the Internet + Internet of Things technology, the fault information is received as soon as possible, and after further analysis by the monitoring personnel, the fault handling demand instructions and specific requirements are issued to the on-site operation personnel, which improves work efficiency and improves the safety and reliability of operation.

[0026] Embodiment 2: This embodiment provides a remote fault diagnosis method for substation equipment based on a cloud platform, comprising: Collect parameter information of the real-time operating status of the equipment, where the parameter information includes non-electrical parameters and electrical parameters; non-electrical parameters include ambient temperature and relative humidity information, which are collected using digital sensor collection circuits and the collection results are sent to the system cloud platform. Electrical parameters include the working voltage, current and power information of the monitoring point, which are collected using Hall element distributed collection circuits and the collection results are sent to the system cloud platform.

[0027] When analyzing and diagnosing the fault type, a dedicated private cloud platform is built and a hybrid cloud is formed. It is based on the OpenStock development tool to build the IT infrastructure, service request and service creation of the private cloud, and the corresponding virtual server is used to burn the software. Connect the network port to the public cloud port to form a hybrid cloud to achieve information exchange and sharing. Define the distributed storage program, implement the language and summarize it; specifically, it develops the SDS software based on the C language to define the distributed storage program, and uses the implementation language of the framework diagram and summarizes it. Write a neural network algorithm statement for reasoning, write the corresponding program with a specific calculation logic, and write it into the cloud platform virtual server to run online to realize the analysis and diagnosis of the fault type; the neural network algorithm statement can be written in python. In this embodiment, the specific calculation logic is: input the state abnormality signal, the neural network algorithm automatically outputs the diagnosis result, and the diagnosis result includes the fault type, fault location point and fault degree.

[0028] Push fault information to users and fault handling personnel. In this embodiment, when pushing fault information, the standard data interface is used to communicate with the WeChat server, and the fault information is pushed to the WeChat account of the person in charge bound to the customer through the WeChat public account. This ensures that the customer can understand the fault information at the first time. Customers can also query the progress of fault handling through the public account function menu, and review the historical fault records and disposal of the distribution room. After the fault identification conclusion is reached, the fault information is pushed to the fault handling personnel, and a reminder is sent to the corresponding equipment operation and maintenance personnel role account. In this embodiment, after further research and judgment by the monitoring personnel, the fault handling demand instructions and specific requirements are issued to the on-site operation responsible personnel, thereby improving work efficiency and improving the safety and reliability of operation.

[0029] This remote fault diagnosis method for substation equipment based on the cloud platform realizes the intelligent perception of the operation of the substation and distribution equipment on the customer side, so that the operation and maintenance personnel can understand the operation status of the substation and distribution equipment in real time. When a fault occurs, the operation and maintenance personnel will receive the alarm information as soon as possible and take corresponding measures in time, which reduces the economic losses caused by the user's fault to the power grid, effectively reduces the maintenance cost of the power grid, ensures the normal operation of power equipment, and reduces the occurrence of power accidents. By using the Internet + Internet of Things technology, the fault information is received as soon as possible, and after further analysis by the monitoring personnel, the fault handling demand instructions and specific requirements are sent to the on-site operation responsible personnel, which improves work efficiency and improves the safety and reliability of operation.

[0030] The above technical features constitute the embodiments of the present invention, which have strong adaptability and implementation effect. Non-essential technical features can be added or reduced according to actual needs to meet the requirements of different situations.

Claims

1. A remote fault diagnosis system for substation equipment based on a cloud platform, characterized in that It includes data acquisition module, fault diagnosis module and information feedback module; Among them, the data acquisition module is used to collect parameter information of the real-time operating status of the equipment; Among them, the fault diagnosis module is used to analyze and diagnose the fault type; Among them, the information feedback module is used to push fault information to users and fault handling personnel.

2. The remote fault diagnosis system for substation equipment based on cloud platform according to claim 1 is characterized in that The data acquisition module includes a non-electrical parameter acquisition unit and an electrical parameter acquisition unit; Wherein, the non-electrical parameter acquisition unit is used to acquire non-electrical parameters; The electrical parameter acquisition unit is used to acquire electrical parameters.

3. The remote fault diagnosis system for substation equipment based on cloud platform according to claim 2 is characterized in that The non-electrical parameter acquisition unit uses a digital sensor acquisition circuit to collect ambient temperature and air relative humidity information, and sends the collection results to the system cloud platform.

4. The remote fault diagnosis system for substation equipment based on cloud platform according to claim 2 or 3 is characterized in that The electrical parameter acquisition unit adopts a Hall element distributed acquisition circuit to collect the working voltage, current and power information of the monitoring point, and sends the collection results to the system cloud platform.

5. The remote fault diagnosis system for substation equipment based on cloud platform according to claim 1, 2 or 3, characterized in that The fault diagnosis module includes a cloud building unit, a cloud storage unit and a cloud computing unit; Among them, the cloud building unit is used to build a dedicated private cloud platform and build a hybrid cloud; Wherein, the cloud storage unit is used to define a distributed storage program; Among them, the cloud computing unit is used to write neural network algorithm statements for reasoning, write corresponding programs with specific computing logic, and write them into the cloud platform virtual server to run online to realize analysis and diagnosis of fault types.

6. The remote fault diagnosis system for substation equipment based on cloud platform according to claim 1, 2 or 3, characterized in that The information feedback module includes a WeChat release feedback unit on the customer side and an alarm feedback unit on the service platform on the power supply side; Among them, the WeChat release feedback unit on the customer side is used to communicate with the WeChat server through a standard data interface, and push the fault information to the WeChat account of the person in charge bound to the customer through the WeChat public account; Among them, the alarm feedback unit of the power supply side service platform is used to push fault information to the fault handling personnel after reaching a fault judgment conclusion, and at the same time send reminders to the corresponding equipment operation and maintenance personnel role account.

7. A remote fault diagnosis method for substation equipment based on a cloud platform, characterized in that include: Collecting parameter information of the real-time operating status of the equipment, wherein the parameter information includes non-electrical parameters and electrical parameters; Build a dedicated private cloud platform and form a hybrid cloud, define distributed storage programs; write neural network algorithm statements for reasoning, write corresponding programs with specific computing logic, and write them into the cloud platform virtual server to run online to realize analysis and diagnosis of fault types; Push fault information to users and fault handlers.

8. The remote fault diagnosis method for substation equipment based on cloud platform according to claim 7 is characterized in that The specific calculation logic is: input state abnormal quantity signal, neural network algorithm automatically outputs diagnosis result, diagnosis result includes fault type, fault location point and fault degree.

9. The remote fault diagnosis method for substation equipment based on a cloud platform according to claim 7 or 8, characterized in that When pushing fault information, the system communicates with the WeChat server through the standard data interface and pushes the fault information to the WeChat account of the person in charge bound to the customer through the WeChat public account; after the fault identification conclusion is reached, the fault information is pushed to the fault handling personnel, and a reminder is sent to the corresponding equipment operation and maintenance personnel role account.

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