CN113255226A - Intelligent control data analysis system for transformer substation oil laboratory detection instrument - Google Patents
Intelligent control data analysis system for transformer substation oil laboratory detection instrument Download PDFInfo
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Abstract
The invention discloses an intelligent control data analysis system of a transformer substation oiling laboratory detection instrument, and particularly relates to the technical field of transformer substation oil filling equipment. In the scheme, a plurality of collected signals can be scientifically and accurately analyzed and counted by the intelligent data analysis system, the data are subjected to fusion calculation of an algorithm in the background, and finally the most accurate experimental data report is obtained, so that the observation is more visual and clear, and the judgment error caused by inaccurate data is avoided; moreover, the remote control system in the scheme remotely controls the work of each server through the WIFI intelligent socket, so that the intelligent equipment of multiple different remote controls is started and closed, the detection time is saved, and the detection efficiency is improved.
Description
Technical Field
The invention relates to the technical field of transformer substation oil filling equipment, in particular to an intelligent control data analysis system for a transformer substation oiling laboratory detection instrument.
Background
The detection of the insulating oil is taken as a main method for obtaining the insulating state of the oil-filled equipment, and is comprehensively popularized in the daily operation and maintenance work of the oil-filled equipment such as a transformer, a reactor, a CT (computed tomography), a PT (potential transformer) and the like, and related test items relate to more than 10 types of insulating oil chromatography, gas content, voltage resistance, dielectric loss, micro-water, acid value, PH value, flash point, interface tension, kinematic viscosity and the like. Through detection, various parameters of the insulating oil can be obtained, and the operating state of the oil filling equipment can be judged based on the analysis results of the parameters, so that a decision basis is provided for the operation and detection work of the field equipment.
However, during the development of the laboratory work, the ratio of the time spent by a single-branch insulating oil analysis work to the total duration of the test is low, taking an insulating oil chromatography test as an example: the preliminary work of preparation is consuming time (including equipment leads to the carrier gas, equipment heaies up to stable condition) and is about 40 minutes earlier in the experiment, experiment later stage epilogue work is consuming time (including equipment leads to the carrier gas cooling, get oil container stoving) and is about 150 minutes, account for 75% of total time consumption of full experimental flow, lack the system that can remote control smart machine open or close, lead to extravagant a large amount of time, seriously influence experimenter work efficiency, if in the epilogue work, gas cylinder and drying equipment forget to close, the incident still can take place, will influence production safety.
In addition, in the insulating oil data analysis work, the problems that the intelligent level of detection data analysis is low, data display does not influence the trend judgment directly and the like exist. At present, most of data analysis methods applied in laboratories compare measured values with threshold values, and cannot be integrated into various intelligent analysis methods to realize early warning of equipment problems. Meanwhile, various detection project data of a single device, detection data of the single device at each time, detection data of each device in a station and detection data of each device of the same manufacturer are all in mutually independent states, and the detection data of each device of the same manufacturer cannot be fused for overall analysis, so that detection personnel are prevented from accurately mastering the state of the oil-filled device, and the data analysis work of a laboratory is difficult to efficiently support.
According to a remote temperature control system and a remote temperature control method in a transformer substation based on SDH (synchronous digital hierarchy) with a patent number of CN 104133507B published on a patent network, the system and the method have the advantages of high temperature measurement precision, low power consumption and high stability, can measure the ambient temperature in real time, and remotely realize the functions of on-off, operation mode change, temperature regulation, air supply and the like of an air conditioner, thereby realizing the temperature regulation of a switch room and a machine room in the transformer substation; however, the invention can only remotely control the temperature detection and air conditioner control module, and the achievable effect is limited.
Therefore, it is necessary to provide an intelligent control data analysis system for a substation oil laboratory detection instrument.
Disclosure of Invention
In order to overcome the defects in the prior art, embodiments of the present invention provide an intelligent control data analysis system for a transformer substation oil chemical laboratory detection instrument, so as to solve the problem of low working efficiency of oil detection due to the fact that an equipment switch cannot be remotely and accurately controlled in the prior art.
In order to solve the technical problems, the invention provides the following technical scheme: the utility model provides a transformer substation oil ization laboratory detecting instrument intelligence control data analysis system, includes data intelligent analysis system and remote control system, data intelligent analysis system includes data acquisition unit, data statistics analysis unit and data visualization unit, the data visualization unit includes system management backstage, statistical data, analytic data and information data, the system management backstage passes through data interface and uploads statistical data, analytic data and information data to the big screen of data, the big screen of data is used for the user to look over.
The remote control system comprises a mobile device APP, an application server, a message queue module, an MQTT server, an MQTT and intelligent hardware, wherein the mobile device APP is used for remotely controlling the application server, the application server is used for issuing a control instruction, the application server can receive data transmitted by the message queue module, the message queue module is electrically connected with the MQTT server, the MQTT server is used for distributing the control instruction, the MQTT is used for receiving the control instruction, and the MQTT is electrically connected with the intelligent hardware.
Preferably, the signals collected by the data collection unit are analysis of dissolved gas in oil, breakdown voltage, volume resistivity, dielectric loss, moisture, acid value, PH value of water-soluble acid, interfacial tension and flash point.
Preferably, the analysis signal of the dissolved gas in the oil collected by the data collection unit is collected by a middle-resolution chromatographic workstation, the output end of the middle-resolution chromatographic workstation is electrically connected with a control console of the middle-resolution chromatographic workstation, and the output end of the control console of the middle-resolution chromatographic workstation is electrically connected with a server end.
Preferably, the remote control system further comprises a WIFI intelligent socket, and an access end of the WIFI intelligent socket is in electric signal connection with an output end of the mobile device APP.
Preferably, the data statistical analysis unit comprises a data source, an analysis module, a handover test, a routine test and a retest test, the data source analysis module comprises an analysis module for dissolved gas in oil and other item analysis modules, and the analysis module for dissolved gas in oil and other item analysis modules obtain analysis results through the handover test, the routine test and the retest test.
Preferably, the algorithm adopted by the data statistical analysis unit is a vector machine algorithm.
Preferably, the data uploaded by the message queue module mainly comprises device instructions, timing data and alarm event data.
Preferably, the system further comprises a service platform overall framework, wherein the service platform overall framework comprises an access layer, a service layer and a storage layer.
The technical scheme of the invention has the following beneficial effects:
compared with the prior art, the scheme has the advantages that the data intelligent analysis system can scientifically and accurately analyze and count a plurality of collected signals, the data are subjected to fusion calculation of algorithms in the background, and finally the most accurate experimental data report is obtained, so that the observation is more visual and clear, and the judgment error caused by inaccurate data is avoided; moreover, the remote control system in this scheme passes through each server work of WIFI smart jack remote control, adopts the MQTT server to separately issue control command to realize that a plurality of different smart machines of remote control open and close, and then practice thrift check-out time, improve detection efficiency.
Drawings
FIG. 1 is a block diagram of a data statistical analysis unit system according to the present invention;
FIG. 2 is a block diagram of a data acquisition unit system of the present invention;
FIG. 3 is a block diagram of a data visualization unit system of the present invention;
FIG. 4 is a block diagram of a remote control system of the present invention;
FIG. 5 is a flow chart of the present invention during operation of the pilot chromatography station;
FIG. 6 is a circuit diagram of a remote micro-break control circuit according to the present invention;
FIG. 7 is a business platform overview framework of the present invention.
Detailed Description
In order to make the technical problems, technical solutions and advantages of the present invention more apparent, the following detailed description is given with reference to the accompanying drawings and specific embodiments.
The embodiment of the invention provides an intelligent control data analysis system for a transformer substation oiling laboratory detection instrument, which comprises an intelligent data analysis system and a remote control system, wherein the intelligent data analysis system comprises a data acquisition unit, a data statistical analysis unit and a data visualization unit, the data visualization unit comprises a system management background, statistical data, analysis data and information data, the system management background uploads the statistical data, the analysis data and the information data to a data large screen through a data interface, and the data large screen is used for a user to check; the signals collected by the data collecting unit are analysis of dissolved gas in oil, breakdown voltage, volume resistivity, dielectric loss, moisture, acid value, pH value of water-soluble acid, interfacial tension and flash point; the analysis signal of the dissolved gas in the oil collected by the data collection unit is collected by the middle-division chromatographic workstation, the output end of the middle-division chromatographic workstation is electrically connected with a control console of the middle-division chromatographic workstation, and the output end of the control console of the middle-division chromatographic workstation is electrically connected with a server end.
Specifically, the items to be measured in the data acquisition unit are soluble gas in oil: h2, CO2, CH4, C2H4, C2H6, C2H2, O2, N2, and 9 other items: breakdown voltage, volume resistivity, dielectric loss, moisture, acid value, PH, interfacial tension, and flash point, and in addition, 10 test items need to be reserved in the database: kinematic viscosity, density, granularity, antioxidant content, compatibility test of oil sludge, sediment and oil, copper metal content, corrosive sulfur and gassing property;
taking analysis of dissolved gas in oil as an example, when detection is started, an acquisition program is deployed on a control console of the middle-split chromatographic workstation, a planning task is set, the middle-split chromatographic workstation is controlled to acquire data, the acquired data is uploaded to a server, and when a client accesses a system, detection data can be directly seen.
Specifically, the data visualization unit utilizes the management background to count and analyze the data in sequence, and finally puts the result of the data information on a large screen for the staff to check.
The data statistical analysis unit comprises a data source, an analysis module, a handover test, a routine test and a retest test, wherein the data source analysis module comprises an oil dissolved gas analysis module and other project analysis modules, and the oil dissolved gas analysis module and the other project analysis modules obtain analysis results through the handover test, the routine test and the retest test; the algorithm adopted by the data statistical analysis unit is a vector machine algorithm.
Specifically, a vector machine algorithm is utilized, data are subjected to fusion calculation of the algorithm in the background, the most accurate experimental data report is finally obtained, and a data source analysis unit divides the data source analysis into two types, namely analysis of dissolved gas in oil and analysis of other items.
Specifically, the new oil test in the handover experiment follows GB 50150-; the test after hot oil circulation follows GB-T14542-2017 guide rule for transformer oil maintenance and management;
the routine test conforms to the national grid company transformation detection and management regulations. The analysis method for analyzing the dissolved gas in the oil comprises the following steps: the fault characteristic gas method and the three-ratio method follow DL-T722 + 2014 guide rule for analysis and judgment of dissolved gas in transformer oil.
The remote control system comprises a mobile device APP, an application server, a message queue module, an MQTT server, an MQTT and intelligent hardware, wherein the mobile device APP is used for remotely controlling the application server, the application server is used for issuing a control instruction, the application server can receive data transmitted by the message queue module, the message queue module is electrically connected with the MQTT server, the MQTT server is used for distributing the control instruction, the MQTT is used for receiving the control instruction, and the MQTT is electrically connected with the intelligent hardware; the remote control system further comprises a WIFI intelligent socket, and an access end of the WIFI intelligent socket is in electric signal connection with an output end of the mobile device APP.
Specifically, the mobile device APP utilizes the WIFI intelligent socket to remotely control the application server, the application server issues a control instruction, the control instruction is distributed through the MQTT server, and the MQTT is responsible for receiving the control instruction, respectively controlling the plurality of intelligent hardware and executing different instructions; the intelligent hardware also sequentially transmits the actively uploaded data to the application server through the MQTT server and the MQTT server, and finally the application server uploads the data to the mobile phone APP.
Specifically, the WIFI smart jack is an integrated Mijia WIFI smart jack, and the requirement for starting and shutting down a computer at a control end of a remote control chromatograph workbench can be met. Built-in relay, WIFI module, measurement chip, sensor and control chip etc. of WIFI smart jack. The working principle of the intelligent mobile phone is that a WiFi module is arranged in the structure, so that a client on the intelligent mobile phone can be correspondingly connected with WiFi, and accurate and remote control is realized. WiFi wireless smart jack adopts the WiFi technique, plug-and-play, and the WiFi network that has utilized lets smart mobile phone or panel computer etc. under the networking condition, can open or close appointed electrical apparatus through the App operation.
The external WIFI smart jack of chromatograph workstation control end computer utilizes the OpenSDK that the firm provided, can integrate in cell-phone App, accomplishes the control of cell-phone App to WIFI smart jack. Meanwhile, based on the OpenSDK, the mobile phone can send a power-on instruction and a power-off instruction to complete remote power-on and power-off of the computer.
Specifically, no matter a mobile phone terminal, a web terminal or a communication gateway is connected with an MQ server to realize message communication, the gateway interface supports AMQ and MQTT protocols, supports a Queue-based message Queue and a PUB/SUBD-based Topic communication mode, and recommends an MQTT-based publish/subscribe mode.
The data uploaded by the message queue module mainly comprises equipment instructions, timing data and alarm event data.
The message type is divided into a device instruction and active upload data, the type and parameters of the device instruction are distinguished through message content, wherein the messageType is a specific instruction name, and the active upload data can be divided into basic heartbeat, expanded heartbeat, an alarm event and online and offline of the device; the instruction message is used for realizing the control of the circuit breaker, and comprises remote control, a timer, an alarm threshold value, heartbeat start and stop, electronic box parameter setting/reading and the like, and is divided into a request message and a response message, wherein each message sent by a client side is responded by a gateway side under the general condition.
As shown in fig. 7, the intelligent control data analysis system for the transformer substation oil chemical laboratory detection instrument further comprises a service platform overall framework, wherein the service platform overall framework comprises an access layer, a service layer and a storage layer.
Specifically, the access layer comprises a PC (personal computer) end, IOT (internet of things) equipment (micro switch) and mobile equipment (mobile end), the PC end relates to the processing of related services such as user management, equipment management and the like, and the mobile end is an android mobile phone APP and is used for remote control and state check of the IOT equipment such as the micro switch and the like;
the access layer is HTTP/HTTPS, MQTT and TCP/UDP, and provides a uniform data interface to deal with different data communication and exchange modes of different equal access layers;
the service layer is divided into service services and basic services and is used for providing uniform service logic processing and data exchange, the service services are divided into pushing services, equipment management, equipment control and identity confirmation, and the basic services are divided into log services, file services, buffering services and authentication services;
the storage layer is divided into a file system, a database cluster and a cache cluster and is used for independent file storage, data storage and cache processing capacity, and distributed cluster deployment is achieved.
As shown in fig. 6, a schematic diagram of the control of the micro-breaking of the oil laboratory circuit in the system is shown.
Particularly, QF1 is a power supply control switch of the monitoring equipment; QF2 is a power control switch of the chromatographic analyzer; QF3 is a control main switch of a power supply of the drying box, a time relay starts timing in an initial state QF3, an electromagnetic contactor KM1 is closed, the drying box starts working, a time relay acts after timing is finished, a KT1-1 normally closed switch is normally opened, the drying box stops working, and when SB1 is pressed down, the time relay is reset to perform a new round of working timing; QF4 is the main switch for gas supply, gas pump, hydrogen generator and power supply of chromatograph, and QF5 and QF6 are the switches for selecting two gases. When QF4 is closed, the timer starts timing, proper gas is selected (gas 1 is communicated when QF5 is closed, gas 2 is communicated when QF6 is closed), a KT2-1 normally-open switch is closed after timing is ended, a KM2 coil is connected, a KM2 normally-open contact is closed, an air pump and a hydrogen generator are started, a time relay KT3 starts timing at the same time, the KT3-1 normally-open contact is closed after timing is ended, an electromagnetic contactor KM3 coil is electrified, a KM3 normally-open contact is closed, and the chromatographic analyzer starts working.
The working process of the invention is as follows:
according to the scheme, the application server is remotely controlled by the WIFI intelligent socket through the mobile device APP, the application server issues a control instruction, the control instruction is distributed through the MQTT server, the MQTT is responsible for receiving the control instruction, and respectively controls a plurality of intelligent hardware and executes different instructions, so that the remote control system is used for starting the intelligent devices in advance, the detection time is saved, and the detection efficiency is improved; meanwhile, the intelligent hardware also transmits actively uploaded data to the application server through the MQTT server and the MQTT server in sequence, and finally the application server uploads the data to the mobile phone APP, so that the data of basic heartbeat, expanded heartbeat, alarm event, online and offline of the equipment and the like can be watched in real time;
when the detection is started, an acquisition program is deployed on a control console of the middle-split chromatographic workstation, a planning task is set, the control console of the middle-split chromatographic workstation can open the middle-split chromatographic workstation through a remote control system, the middle-split chromatographic workstation is controlled to acquire data, a data statistical analysis unit is used for comparing and analyzing a data result obtained through a detection test with a database, and finally the result is uploaded to a server side.
The points to be finally explained are: first, in the description of the present application, it should be noted that, unless otherwise specified and limited, the terms "mounted," "connected," "connecting," and "connecting" should be interpreted broadly, and may be mechanical or electrical, or may be communication between two elements, and may be directly connected, and "upper," "lower," "left," "right," and the like are only used to indicate relative positional relationships, and when the absolute position of the described object is changed, the relative positional relationships may be changed;
secondly, the method comprises the following steps: in the drawings of the disclosed embodiments of the invention, only the structures related to the disclosed embodiments are related, other structures can refer to common designs, and the same embodiment and different embodiments of the invention can be combined with each other without conflict;
and finally: the above description is only for the purpose of illustrating the preferred embodiments of the present invention and is not to be construed as limiting the invention, and any modifications, equivalents, improvements and the like that are within the spirit and principle of the present invention are intended to be included in the scope of the present invention.
Claims (8)
1. The intelligent control data analysis system of the transformer substation oil chemical laboratory detection instrument is characterized by comprising an intelligent data analysis system and a remote control system, wherein the intelligent data analysis system comprises a data acquisition unit, a data statistical analysis unit and a data visualization unit, the data visualization unit comprises a system management background, statistical data, analysis data and information data, the system management background uploads the statistical data, the analysis data and the information data to a data large screen through a data interface, and the data large screen is used for a user to check;
the remote control system comprises a mobile device APP, an application server, a message queue module, an MQTT server, an MQTT and intelligent hardware, wherein the mobile device APP is used for remotely controlling the application server, the application server is used for issuing a control instruction, the application server can receive data transmitted by the message queue module, the message queue module is electrically connected with the MQTT server, the MQTT server is used for distributing the control instruction, the MQTT is used for receiving the control instruction, and the MQTT is electrically connected with the intelligent hardware.
2. The intelligent control data analysis system of the transformer substation oiling laboratory detection instrument according to claim 1, wherein the signals collected by the data collection unit are analysis of dissolved gas in oil, breakdown voltage, volume resistivity, dielectric loss, moisture, acid value, water-soluble acid pH value, interfacial tension and flash point.
3. The intelligent control data analysis system of the transformer substation oil chemical laboratory detecting instrument according to claim 2, characterized in that a dissolved gas analysis signal in oil collected by the data collecting unit is collected by a middle-division chromatographic workstation, an output end of the middle-division chromatographic workstation is electrically connected with a middle-division chromatographic workstation console, and an output end of the middle-division chromatographic workstation console is electrically connected with a server end.
4. The intelligent control data analysis system for the transformer substation oiling laboratory detection instrument according to claim 1, characterized in that the remote control system further comprises a WIFI intelligent socket, and an access end of the WIFI intelligent socket is in electric signal connection with an output end of the mobile device APP.
5. The intelligent control data analysis system for the transformer substation oiling laboratory detection instrument according to claim 1, wherein the data statistic analysis unit comprises a data source, an analysis module, a handover test, a routine test and a retest test, the data source analysis module comprises an oil dissolved gas analysis module and other item analysis modules, and the oil dissolved gas analysis module and the other item analysis modules obtain analysis results through the handover test, the routine test and the retest test.
6. The intelligent control data analysis system for the transformer substation oiling laboratory detection instrument according to claim 1, wherein the algorithm adopted by the data statistical analysis unit is a vector machine algorithm.
7. The intelligent control data analysis system for the transformer substation oiling laboratory detection instrument according to claim 1, wherein the data uploaded by the message queue module mainly comprises equipment instructions, timing data and alarm event data.
8. The intelligent control data analysis system for the transformer substation oiling laboratory detection instrument according to claim 1, characterized by further comprising a service platform overall framework, wherein the service platform overall framework comprises an access layer, a service layer and a storage layer.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
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| CN202110617610.6A CN113255226B (en) | 2021-06-02 | 2021-06-02 | Intelligent control data analysis system for transformer substation oiling laboratory detection instrument |
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| CN202110617610.6A CN113255226B (en) | 2021-06-02 | 2021-06-02 | Intelligent control data analysis system for transformer substation oiling laboratory detection instrument |
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| CN113255226A true CN113255226A (en) | 2021-08-13 |
| CN113255226B CN113255226B (en) | 2023-04-18 |
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| CN202110617610.6A Active CN113255226B (en) | 2021-06-02 | 2021-06-02 | Intelligent control data analysis system for transformer substation oiling laboratory detection instrument |
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| CN114152872A (en) * | 2021-12-01 | 2022-03-08 | 湖南大学 | Oil-immersed metal equipment health condition diagnosis method based on metal ion detection |
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| CN114372063B (en) * | 2022-01-21 | 2022-08-12 | 华谱科仪(北京)科技有限公司 | Fault detection method based on chromatograph and electronic equipment |
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| CN113255226B (en) | 2023-04-18 |
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