CN219641840U - Intelligent multidimensional online monitoring system for power transformer - Google Patents
Intelligent multidimensional online monitoring system for power transformer Download PDFInfo
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- CN219641840U CN219641840U CN202320439567.3U CN202320439567U CN219641840U CN 219641840 U CN219641840 U CN 219641840U CN 202320439567 U CN202320439567 U CN 202320439567U CN 219641840 U CN219641840 U CN 219641840U
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y04—INFORMATION OR COMMUNICATION TECHNOLOGIES HAVING AN IMPACT ON OTHER TECHNOLOGY AREAS
- Y04S—SYSTEMS INTEGRATING TECHNOLOGIES RELATED TO POWER NETWORK OPERATION, COMMUNICATION OR INFORMATION TECHNOLOGIES FOR IMPROVING THE ELECTRICAL POWER GENERATION, TRANSMISSION, DISTRIBUTION, MANAGEMENT OR USAGE, i.e. SMART GRIDS
- Y04S40/00—Systems for electrical power generation, transmission, distribution or end-user application management characterised by the use of communication or information technologies, or communication or information technology specific aspects supporting them
- Y04S40/12—Systems for electrical power generation, transmission, distribution or end-user application management characterised by the use of communication or information technologies, or communication or information technology specific aspects supporting them characterised by data transport means between the monitoring, controlling or managing units and monitored, controlled or operated electrical equipment
- Y04S40/128—Systems for electrical power generation, transmission, distribution or end-user application management characterised by the use of communication or information technologies, or communication or information technology specific aspects supporting them characterised by data transport means between the monitoring, controlling or managing units and monitored, controlled or operated electrical equipment involving the use of Internet protocol
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Abstract
The utility model relates to an intelligent multidimensional online monitoring system of a power transformer, which comprises the following components: the system comprises a plurality of sensing acquisition units corresponding to each transformer and a background management center in communication connection with each sensing acquisition unit; the sensing acquisition unit comprises: the data acquisition module comprises a multidimensional sensor module which is adhered and fixed outside the transformer; an A/D conversion module; the chip module of the Internet of things; the processing unit is connected with the chip module of the Internet of things and is used for judging the fault type according to the fault signal; the data identification alarm module is connected with the Internet of things chip; and, a power module; the background management center receives the alarm information and monitors the running condition of each sensing acquisition unit. The utility model realizes the real-time monitoring of the fault information of the transformer, acquires various fault signals through the multidimensional sensor module, and performs analysis and calculation through the processing unit, thereby improving the accuracy of fault judgment.
Description
Technical Field
The utility model relates to the technical field of power equipment monitoring, in particular to an intelligent multidimensional online monitoring system for a power transformer.
Background
At present, an insulating system is generally formed by adopting oil and paper/paper boards, the power transformer can be gradually deteriorated under the action of various factors such as electricity, heat, oxidation, partial arc and the like under the operating voltage, the power transformer is cracked into low-molecular gas, and the latent overheat or discharge fault existing in the power transformer can accelerate the gas production rate. With the slow development of faults, bubbles formed by the cracked gas are dissolved in the oil continuously through convection and diffusion. The components and the content of the generated gas of faults with the same type of properties reflect the insulation aging or fault degree of the power transformer to a certain extent, and can be used as the characteristic quantity reflecting the abnormality of electrical equipment. Therefore, at present, a gas chromatography method is generally used for carrying out qualitative and quantitative analysis on the fault gas components to obtain the gas components and the content thereof, thereby realizing fault diagnosis of the power transformer.
However, when a gas phase/oil chromatographic analysis method is adopted, a professional is required to collect the oil sample, and then the oil sample is brought back to a laboratory or a chromatographic analysis center for oil sample analysis and detection; in some intelligent substations, an online oil chromatographic analysis monitoring mode is adopted, but due to the limitation of an analysis algorithm and the complexity of a field environment, a simple computer analysis mode cannot completely replace an expert to carry out manual analysis for a long time, so that the detection accuracy is greatly reduced.
Disclosure of Invention
In view of the above-mentioned drawbacks of the prior art, the present utility model aims to provide an intelligent multidimensional online monitoring system for a power transformer, which has the advantages of being capable of realizing real-time online monitoring and high in detection accuracy.
To achieve the above and other related objects, the present utility model provides the following technical solutions:
an intelligent multidimensional online monitoring system for a power transformer, comprising: the system comprises a plurality of sensing acquisition units corresponding to each transformer and a background management center in communication connection with each sensing acquisition unit;
the sensing acquisition unit comprises:
the data acquisition module comprises a multi-dimensional sensor module which is adhered and fixed on the outside of the transformer, and the multi-dimensional sensor module is used for acquiring fault signals of the transformer;
the A/D conversion module is connected with the data acquisition module and is used for performing digital-to-analog conversion on fault signals;
the Internet of things chip module is connected with the A/D conversion module and is used for being in interactive connection with the external Internet of things;
the processing unit is connected with the chip module of the Internet of things and is used for judging the fault type according to the fault signal;
the data identification alarm module is connected with the internet of things chip and is used for sending alarm information according to the judgment result of the processing unit; the method comprises the steps of,
the power module is used for providing working voltage;
the background management center receives the alarm information and monitors the running condition of each sensing acquisition unit.
According to the technical scheme, a data acquisition networking is formed through the plurality of sensing acquisition units, various working data of the transformer are detected through the multidimensional sensor module, so that corresponding fault signals are obtained, the A/D conversion module converts the fault signals in the analog signal state into the digital signal state, the chip module of the Internet of things realizes the interactive connection between the sensing acquisition units and the external Internet of things, plays a role of plug and play, and data analysis capability of the sensing acquisition units is improved without the aid of other networks; then, the processing unit is used for carrying out operation processing, the fault type is judged according to the position and the data of the fault signal, then the data identification alarm module is used for sending alarm information to the background management center according to the fault type, and the background management center is used for monitoring and processing the alarm information, so that a manager can timely carry out emergency maintenance on the transformer, and further damage to the functions of the transformer equipment is avoided; the utility model realizes the real-time monitoring of the fault information of the transformer, acquires various fault signals through the multidimensional sensor module, and performs analysis and calculation through the processing unit, thereby improving the accuracy of fault judgment, and simultaneously, the sensing acquisition unit can perform calculation processing by itself without relying on a background cloud computing center to perform complex analysis and calculation, thereby greatly reducing the workload and the calculation pressure of the cloud computing center.
As a preferred embodiment of the present utility model, the multi-dimensional sensor module includes:
the vibration sensors are distributed at different parts of the transformer and are used for collecting vibration signals generated in the working process of the transformer;
the temperature sensors are distributed at different parts of the transformer and are used for collecting real-time temperature values in the working process of the transformer;
the noise sensors are distributed at different parts of the transformer and are used for collecting noise signals generated in the working process of the transformer;
when the acquired vibration signal, real-time temperature value or noise signal exceeds a preset threshold value, the multidimensional sensor module generates a corresponding fault signal according to the vibration signal, the real-time temperature value and the noise signal.
According to the technical scheme, as different signals, mainly vibration signals, temperature signals and noise signals, can be generated when various faults occur in the transformer, the running state of the transformer can be reflected through the vibration signals, the real-time temperature values and the noise signals acquired by the multidimensional sensor module, and accordingly corresponding fault signals can be sent out when data are abnormal.
As a preferred embodiment of the present utility model, the processing unit includes:
the edge calculation module is used for acquiring key fault signals to detect, diagnose and judge the fault type;
the proxy server module is used for storing data;
and the CPU computing module is used for providing computing resources for the edge computing module.
According to the technical scheme, the edge calculation module, the proxy server module and the CPU calculation module can be used for rapidly calculating fault signals.
As a preferred embodiment of the present utility model, the background management center includes:
a VPN router unit for performing data receiving/transmitting network routing;
the management server unit is used for storing and managing the data sent by each sensing acquisition unit;
the WEB server unit is used for carrying out network management on each sensing acquisition unit and the background management center; the method comprises the steps of,
and the management operation device is used for management personnel to perform management operation.
According to the technical scheme, the real-time data storage, backup, analysis and predictive management of the sensing acquisition unit are realized through the management operation equipment, and the monitoring process is faster and more convenient.
As a preferable scheme of the utility model, the sensing acquisition unit further comprises a GPS module, and the GPS module is used for sending a positioning signal to position the corresponding sensing acquisition unit.
The technical scheme is realized, the positioning of the sensing acquisition units is realized, and the automatic networking of a plurality of sensing acquisition units is facilitated.
As a preferable scheme of the utility model, the sensing acquisition unit further comprises a WiFi module, a router module, a 3G/4G/5G communication module and a communication interface module.
By means of the technical scheme, various data transmission modes can be realized.
As described above, the present utility model has the following advantageous effects:
the embodiment of the utility model provides an intelligent multidimensional online monitoring system for a power transformer, which comprises the following steps: the system comprises a plurality of sensing acquisition units corresponding to each transformer and a background management center in communication connection with each sensing acquisition unit, wherein a data acquisition networking is formed through the plurality of sensing acquisition units, various working data of the transformers are detected through a multi-dimensional sensor module, corresponding fault signals are further obtained, an A/D conversion module converts the fault signals in analog signal states into digital signal states, an Internet of things chip module realizes the interactive connection between the sensing acquisition units and the external Internet of things and plays a role of 'plug and play', other networks are not needed, and the data analysis capacity of the sensing acquisition units is improved; then, the processing unit is used for carrying out operation processing, the fault type is judged according to the position and the data of the fault signal, then the data identification alarm module is used for sending alarm information to the background management center according to the fault type, and the background management center is used for monitoring and processing the alarm information, so that a manager can timely carry out emergency maintenance on the transformer, and further damage to the functions of the transformer equipment is avoided; the utility model realizes the real-time monitoring of the fault information of the transformer, acquires various fault signals through the multidimensional sensor module, and performs analysis and calculation through the processing unit, thereby improving the accuracy of fault judgment, and simultaneously, the sensing acquisition unit can perform calculation processing by itself without relying on a background cloud computing center to perform complex analysis and calculation, thereby greatly reducing the workload and the calculation pressure of the cloud computing center.
Drawings
Fig. 1 shows a schematic structural diagram of an embodiment of the present utility model.
Corresponding part names are indicated by numerals and letters in the drawings:
100. a sensing acquisition unit; 200. and the background management center.
Detailed Description
Further advantages and effects of the present utility model will become apparent to those skilled in the art from the disclosure of the present utility model, which is described by the following specific examples.
Please refer to fig. 1. It should be understood that the structures, proportions, sizes, etc. shown in the drawings are for illustration purposes only and should not be construed as limiting the utility model to the extent that it can be practiced, since modifications, changes in the proportions, or otherwise, used in the practice of the utility model, are not intended to be critical to the essential characteristics of the utility model, but are intended to fall within the spirit and scope of the utility model. Also, the terms such as "upper," "lower," "left," "right," "middle," and "a" and the like recited in the present specification are merely for descriptive purposes and are not intended to limit the scope of the utility model, but are intended to provide relative positional changes or modifications without materially altering the technical context in which the utility model may be practiced.
Referring to fig. 1, the present utility model provides an intelligent multidimensional online monitoring system for a power transformer, comprising: the system comprises a plurality of sensing acquisition units 100 corresponding to each transformer and a background management center 200 in communication connection with each sensing acquisition unit 100.
Specifically, the sensing acquisition unit 100 includes: the data acquisition module comprises a multidimensional sensor module which is adhered and fixed on the outside of the transformer, and the multidimensional sensor module is used for acquiring fault signals of the transformer; the A/D conversion module is connected with the data acquisition module and is used for performing digital-to-analog conversion on fault signals; the Internet of things chip module is connected with the A/D conversion module and is used for being connected with the external Internet of things in an interactive way; the processing unit is connected with the chip module of the Internet of things and is used for judging the fault type according to the fault signal; the data identification alarm module is connected with the internet of things chip and is used for sending alarm information according to the judgment result of the processing unit; and a power module for providing an operating voltage; the background management center 200 receives the alarm information and monitors the operation condition of each sensing collection unit 100.
Wherein, the multidimensional sensor module includes: the vibration sensors are distributed at different parts of the transformer and are used for collecting vibration signals generated in the working process of the transformer; the temperature sensors are distributed at different parts of the transformer and are used for collecting real-time temperature values in the working process of the transformer; the noise sensors are distributed at different parts of the transformer and are used for collecting noise signals generated in the working process of the transformer; each sensor can be adhered and fixed outside the transformer through industrial glue, and when the acquired vibration signal, real-time temperature value or noise signal exceeds a preset threshold value, the multidimensional sensor module generates a corresponding fault signal according to the vibration signal, the real-time temperature value and the noise signal. Because the transformer can produce different signals when various faults occur, mainly including vibration signals, temperature signals and noise signals, the running state of the transformer can be reflected through the vibration signals, the real-time temperature values and the noise signals acquired by the multidimensional sensor module, and accordingly corresponding fault signals can be sent out when data are abnormal.
The processing unit includes: the edge calculation module is used for acquiring key fault signals to detect, diagnose and judge the fault type; the proxy server module is used for storing data; the CPU computing module is used for providing computing resources for the edge computing module; the edge calculation module, the proxy server module and the CPU calculation module can be used for realizing rapid calculation of fault signals.
Specifically, the edge calculation module is used for enhancing the calculation capability of the sensing acquisition module, enhancing the capacity and capability of the sensing acquisition module for analyzing, processing and detecting and diagnosing faults, the sensing acquisition module can complete the detection of the existing faults, find out the fault reasons, and detect and diagnose the faults without depending on cloud calculation, and only report the fault detection results to the cloud service center, so that the workload of cloud calculation is greatly reduced, the working pressure of a cloud server is reduced, the downtime of the cloud server is avoided, and the daily detection and diagnosis work of the faults of remote equipment are influenced.
The proxy server module is used for storing and backing up all sensing data acquired by the sensing acquisition module per se in daily life and all historical data of transformer fault detection data, and is also used for connecting and interacting the sensing acquisition module per se with the Internet of things and other networks, so that the capability and efficiency of the sensing acquisition module in the Internet of things network are enhanced, the high efficiency, stability, reliability and safety of the sensor connected with the Internet of things are improved, and malignant conditions such as disconnection, downtime, transmission delay, firewall invasion and the like are prevented.
The sensing acquisition unit 100 further comprises a GPS module, and the GPS module is used for sending positioning signals to position the corresponding sensing acquisition units 100, positioning of the sensing acquisition units 100 is achieved through the GPS module, and automatic networking of a plurality of sensing acquisition units 100 is facilitated.
Further, the sensing acquisition unit 100 further includes a WiFi module, a router module, a 3G/4G/5G communication module, and a communication interface module, so that multiple data transmission modes can be implemented; meanwhile, the WiFi module is convenient for the sensing acquisition unit 100 to automatically form a wireless local area network to realize a cross-regional networking grid-connected working mode, the 3G/4G/5G communication module is convenient for the sensing acquisition unit 100 to automatically connect with a 3G/4G/5G network without external gateway resources, and the communication interface module is convenient for the sensing acquisition unit 100 to seamlessly interface with any external communication interface, including a mobile wireless network, an optical fiber network, a priority data network, a VPN private network and the like, and is no longer dependent on connection with an external communication network through an external gateway and a router.
The sensing collection unit 100 and the background management center 200 are connected through a communication network, and the communication connection mode mainly comprises a 5G mobile Internet, a broadband wireless network (WIFI), a broadband wired network (optical fiber network), a high-speed data network (Internet), a VPN private network and the like.
As a preferred embodiment of the present utility model, the background management center 200 includes: a VPN router unit for performing data receiving/transmitting network routing; a management server unit for storing and managing the data sent by each sensing acquisition unit 100; the WEB server unit is used for carrying out network management on each sensing acquisition unit 100 and the background management center 200; and a management operation device for management operation by a manager; the management operation device can adopt intelligent devices such as a PC, a notebook computer, a tablet personal computer, a mobile phone and the like, and realizes real-time data storage, backup, analysis and predictive management of the sensing acquisition unit 100 through the management operation device, so that the monitoring process is faster and more convenient.
The management server unit is specifically used for storing, backing up, analyzing, predictability managing and the like all data of daily working states, operation states and faults of all networking sensing acquisition units 100, detecting faults, managing network quality and states of the networking sensing acquisition units 100, including parameter setting, operation state data monitoring, operation state data displaying, network quality assessment, authority management and the like.
The data acquisition networking is formed through the plurality of sensing acquisition units 100, various working data of the transformer are detected through the multidimensional sensor module, so that corresponding fault signals are obtained, the A/D conversion module converts the fault signals in the analog signal state into the digital signal state, the Internet of things chip module realizes the interactive connection between the sensing acquisition units 100 and the external Internet of things and plays a role of 'plug and play', other networks are not needed, and the data analysis capability of the sensing acquisition units 100 is improved; then, the processing unit is used for carrying out operation processing, the fault type is judged according to the position and the data of the fault signal, then the data identification alarm module is used for sending alarm information to the background management center 200 according to the fault type, and the background management center 200 is used for monitoring and processing the alarm information, so that a manager can carry out emergency maintenance on the transformer in time, and the transformer equipment function is prevented from being further damaged; the utility model realizes the real-time monitoring of the fault information of the transformer, acquires various fault signals through the multidimensional sensor module, and performs analysis and calculation through the processing unit, thereby improving the accuracy of fault judgment, and simultaneously, the sensing acquisition unit 100 can perform calculation processing by itself without relying on a background cloud computing center to perform complex analysis and calculation, thereby greatly reducing the workload and the calculation pressure of the cloud computing center.
The above embodiments are merely illustrative of the principles of the present utility model and its effectiveness, and are not intended to limit the utility model. Modifications and variations may be made to the above-described embodiments by those skilled in the art without departing from the spirit and scope of the utility model. Accordingly, it is intended that all equivalent modifications and variations of the utility model be covered by the claims, which are within the ordinary skill of the art, be within the spirit and scope of the present disclosure.
Claims (6)
1. An intelligent multidimensional online monitoring system for a power transformer, comprising: the system comprises a plurality of sensing acquisition units corresponding to each transformer and a background management center in communication connection with each sensing acquisition unit;
the sensing acquisition unit comprises:
the data acquisition module comprises a multi-dimensional sensor module which is adhered and fixed on the outside of the transformer, and the multi-dimensional sensor module is used for acquiring fault signals of the transformer;
the A/D conversion module is connected with the data acquisition module and is used for performing digital-to-analog conversion on fault signals;
the Internet of things chip module is connected with the A/D conversion module and is used for being in interactive connection with the external Internet of things;
the processing unit is connected with the chip module of the Internet of things and is used for judging the fault type according to the fault signal;
the data identification alarm module is connected with the internet of things chip and is used for sending alarm information according to the judgment result of the processing unit; the method comprises the steps of,
the power module is used for providing working voltage;
the background management center receives the alarm information and monitors the running condition of each sensing acquisition unit.
2. The intelligent multi-dimensional online monitoring system of a power transformer of claim 1, wherein the multi-dimensional sensor module comprises:
the vibration sensors are distributed at different parts of the transformer and are used for collecting vibration signals generated in the working process of the transformer;
the temperature sensors are distributed at different parts of the transformer and are used for collecting real-time temperature values in the working process of the transformer;
the noise sensors are distributed at different parts of the transformer and are used for collecting noise signals generated in the working process of the transformer;
when the acquired vibration signal, real-time temperature value or noise signal exceeds a preset threshold value, the multidimensional sensor module generates a corresponding fault signal according to the vibration signal, the real-time temperature value and the noise signal.
3. The intelligent multidimensional online monitoring system of a power transformer of claim 1, wherein the processing unit comprises:
the edge calculation module is used for acquiring key fault signals to detect, diagnose and judge the fault type;
the proxy server module is used for storing data;
and the CPU computing module is used for providing computing resources for the edge computing module.
4. The intelligent multidimensional online monitoring system of power transformers of claim 1, wherein said back office comprises:
a VPN router unit for performing data receiving/transmitting network routing;
the management server unit is used for storing and managing the data sent by each sensing acquisition unit;
the WEB server unit is used for carrying out network management on each sensing acquisition unit and the background management center; the method comprises the steps of,
and the management operation device is used for management personnel to perform management operation.
5. The intelligent multidimensional online monitoring system of the power transformer according to claim 1, wherein the sensing acquisition unit further comprises a GPS module for transmitting a positioning signal to position the corresponding sensing acquisition unit.
6. The intelligent multidimensional online monitoring system of the power transformer according to claim 1, wherein the sensing acquisition unit further comprises a WiFi module, a router module, a 3G/4G/5G communication module and a communication interface module.
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| CN202320439567.3U CN219641840U (en) | 2023-03-03 | 2023-03-03 | Intelligent multidimensional online monitoring system for power transformer |
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| CN202320439567.3U CN219641840U (en) | 2023-03-03 | 2023-03-03 | Intelligent multidimensional online monitoring system for power transformer |
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