CN113741306B - Equipment state early warning device based on artificial intelligence and early warning method thereof - Google Patents
Equipment state early warning device based on artificial intelligence and early warning method thereof Download PDFInfo
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- CN113741306B CN113741306B CN202111075234.9A CN202111075234A CN113741306B CN 113741306 B CN113741306 B CN 113741306B CN 202111075234 A CN202111075234 A CN 202111075234A CN 113741306 B CN113741306 B CN 113741306B
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- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
- G05B19/00—Programme-control systems
- G05B19/02—Programme-control systems electric
- G05B19/04—Programme control other than numerical control, i.e. in sequence controllers or logic controllers
- G05B19/042—Programme control other than numerical control, i.e. in sequence controllers or logic controllers using digital processors
- G05B19/0428—Safety, monitoring
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- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
- G05B2219/00—Program-control systems
- G05B2219/20—Pc systems
- G05B2219/24—Pc safety
- G05B2219/24024—Safety, surveillance
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- Automation & Control Theory (AREA)
- Cooling Or The Like Of Electrical Apparatus (AREA)
Abstract
An equipment state early warning device based on artificial intelligence comprises a machine body and a cooling fan; a machine body: the intelligent power-off control system comprises a machine body, wherein a display screen, an audible-visual alarm and a touch display screen are respectively arranged on the front side, the display screen and the audible-visual alarm are arranged in parallel, the display screen corresponds to the audible-visual alarm one by one, a network switch and a 5G base station are respectively arranged on the top of the machine body, a cooling chamber, a heat dissipation chamber and an electronic cooling liquid storage chamber are sequentially arranged on the inner side of the machine body from top to bottom, a server is arranged on the inner side of the cooling chamber, and the cooling chamber is communicated with the electronic cooling liquid storage chamber through a heat exchange tube.
Description
Technical Field
The invention relates to the technical field of intelligent early warning of equipment states, in particular to an artificial intelligence-based equipment state early warning device and an early warning method thereof.
Background
As a combination of huge and complex electrical equipment, the transformer substation is complex in internal environment and various in equipment types, a large amount of manpower and material resources are needed for traditional inspection, in recent years, with the development of robots and automation technologies, more and more transformer substation machines optimize inspection modes by adopting technical means such as monitoring cameras, ground inspection robots and unmanned aerial vehicles, inspection steps are simplified, inspection efficiency is improved, workers only need to access inspection images to acquire real-time monitoring pictures, and manpower and material resources can be greatly saved in practical application;
however, in the process, a plurality of sample pictures are collected by various inspection equipment, but an intelligent and efficient analysis means is lacked, so that an equipment state early warning device based on artificial intelligence and an early warning method thereof are provided.
Disclosure of Invention
The invention aims to overcome the existing defects, and provides an equipment state early warning device and an early warning method based on artificial intelligence, which can reduce the workload of operation and maintenance personnel, prolong the equipment maintenance period, reduce the maintenance cost, improve the equipment service life, reduce misoperation, improve the working efficiency and the safety reliability of the whole transformer substation, and greatly shorten the power-off time, thereby reducing the loss cost caused by power interruption of the transformer substation and effectively solving the problems in the background technology.
In order to achieve the aim of the invention, the invention adopts the following technical scheme:
an equipment state early warning device based on artificial intelligence comprises a machine body and a cooling fan;
a machine body: the electronic cooling liquid storage device comprises a machine body, wherein a display screen, an audible and visual alarm and a touch display screen are respectively arranged on the front side, the display screen and the audible and visual alarm are arranged in parallel in an array mode, the display screen corresponds to the audible and visual alarm one by one, a network switch and a 5G base station are respectively arranged on the top of the machine body, a cooling chamber, a heat dissipation chamber and an electronic cooling liquid storage chamber are sequentially arranged on the inner side of the machine body from top to bottom, a server is arranged on the inner side of the cooling chamber, the cooling chamber is communicated with the inside of the electronic cooling liquid storage chamber through a heat exchange tube, the electronic cooling liquid storage chamber is communicated with the inside of the cooling chamber through a cooling liquid conveying unit, the heat exchange tube is distributed on the inner side of the heat dissipation chamber, and an observation window is arranged on the machine body corresponding to the position of the cooling chamber;
and (3) a cooling fan: is arranged on the side surface of the heat dissipation chamber;
the intelligent cooling system comprises a machine body, a cooling room, a temperature sensor, a server, an external control switch, a cooling fan, a display screen, an audible and visual alarm, a touch display screen, a network switch and a 5G base station, wherein the temperature sensor is arranged on the machine body, detection ends are distributed on the inner side of the cooling room, the server is electrically connected with the external power supply through the external control switch, and the server is electrically connected with the temperature sensor, the cooling fan, the display screen, the audible and visual alarm, the touch display screen, the network switch and the 5G base station respectively.
Further, the heat exchange tube further comprises spiral channels, and the spiral channels are distributed on the inner side of the heat exchange tube.
Further, the heat exchange tube further comprises heat dissipation fins which are of annular structures and are uniformly distributed on the outer sides of the heat exchange tubes.
Further, the cooling device further comprises a dust blocking net, wherein the dust blocking net is fixed on the side face of the heat dissipation chamber and distributed corresponding to the cooling fan.
Further, the cooling liquid conveying unit comprises a circulating pump and a conveying pipe, the end part of the conveying pipe is correspondingly communicated with the electronic cooling liquid storage chamber and the inside of the cooling chamber, the circulating pump is arranged on the inner side of the electronic cooling liquid storage chamber, the outlet of the circulating pump is communicated with the conveying pipe, and the circulating pump is electrically connected with the server.
Further, the electronic cooling liquid storage device also comprises a liquid exchange tube, wherein the liquid exchange tube is communicated and fixed on the side surface of the electronic cooling liquid storage chamber, and a switch valve is arranged on the liquid exchange tube.
The invention also comprises an early warning method of the equipment state early warning device based on artificial intelligence, which comprises the following steps:
1) Statistical data: the information acquired by the inspection robot is transmitted to a 5G base station through a 5G communication module, the 5G base station receives the information and transmits the information to a network switch, and the network switch processes the information and transmits the information to a server;
2) Establishing a database: the server integrates, classifies and analyzes the information, and then builds the information into a database;
3) Data were extracted and statistically analyzed: the server performs multidimensional comparative analysis on the data and performs statistics:
4) Establishing a risk early warning model: the server establishes a risk early warning model according to the statistical data, and early warns potential equipment hazards by prejudging the trend of the equipment state;
5) Producing a patrol report: and producing a patrol report according to the risk early warning model information, wherein the patrol report is used for guiding patrol operation.
Further, in step 1), the information collected by the inspection robot may include visible light, infrared big data, equipment operation years, brands and geographical areas, equipment operation time, manufacturer brands, climate environment, power load, and other factors of the historical inspection.
Further, in step 2) and step 3), the analysis method is one or more of a template matching method, an artificial neural network method, a support vector machine method, a cloud heterogeneous analysis method and a side cloud cooperative method.
Further, in step 4), the predicting process of the risk early-warning model is: predicting equipment and positions which are possibly abnormal according to various factors such as equipment operation time, manufacturer brands, climate environment, power load and the like, and performing historical statistical analysis on areas where abnormal temperatures frequently occur and equipment parts which are abnormal, so that risk prediction is formed.
Compared with the prior art, the invention has the beneficial effects that: the device state early warning device and the early warning method based on the artificial intelligence have the following advantages:
1. the working load of operation and maintenance personnel is reduced through risk early warning, the equipment maintenance period can be prolonged, the maintenance cost is reduced, the equipment service life is prolonged, misoperation can be reduced, the working efficiency and the safety reliability of the whole transformer substation are improved, the power-off time is greatly shortened, and the loss cost caused by power interruption of the transformer substation is reduced.
2. The cooling device has a good cooling effect on the server, effectively prolongs the service life of the server, and is convenient for the server to perform high-efficiency operation.
Drawings
FIG. 1 is a schematic perspective view of the present invention;
FIG. 2 is a schematic side perspective view of the present invention;
FIG. 3 is a cross-sectional view of a three-dimensional structure of the present invention;
FIG. 4 is a schematic view of a cooling tube according to the present invention
FIG. 5 is a block diagram of the early warning method of the present invention.
In the figure: the cooling device comprises a machine body 1, a display screen 2, an audible and visual alarm 3, a touch display screen 4, a network switch 5, a base station 6G, a cooling liquid conveying unit 7, a circulating pump 71, a conveying pipe 72, a cooling fan 8, a liquid exchange pipe 9, a switch valve 10, an observation window 11, a temperature sensor 12, a dust blocking net 13, an electronic cooling liquid storage chamber 14, a server 15, a cooling chamber 16, a heat exchange pipe 17, a spiral channel 18, a radiating fin 19 and a radiating chamber 20.
Detailed Description
The invention will be explained in detail by the following examples, the purpose of which is to be disclosed in order to protect all technical improvements within the scope of the invention.
Referring to fig. 1-5, the present embodiment provides a technical solution: an equipment state early warning device based on artificial intelligence comprises a machine body 1 and a cooling fan 8;
body 1: the front side is respectively provided with a display screen 2, an audible and visual alarm 3 and a touch display screen 4, the display screen 2 and the audible and visual alarm 3 are arranged in parallel in an array, the display screen 2 and the audible and visual alarm 3 are in one-to-one correspondence, the top of the machine body 1 is respectively provided with a network switch 5 and a 5G base station 6, the inner side of the machine body 1 is sequentially provided with a cooling chamber 16, a heat dissipation chamber 20 and an electronic cooling liquid storage chamber 14 from top to bottom, the inner side of the cooling chamber 16 is provided with a server 15, the cooling chamber 16 is communicated with the inside of the electronic cooling liquid storage chamber 14 through a heat exchange tube 17, the electronic cooling liquid storage chamber 14 is communicated with the inside of the cooling chamber 16 through a cooling liquid conveying unit 7, the heat exchange tube 17 is distributed at the inner side of the heat dissipation chamber 20, and an observation window 11 is arranged on the machine body 1 corresponding to the position of the cooling chamber 16;
cooling fan 8: is installed at the side of the heat dissipation chamber 20;
the temperature sensor 12 is mounted on the machine body 1, detection ends of the temperature sensor 12 are distributed on the inner side of the cooling chamber 16, the server 15 is electrically connected with an external power supply through an external control switch, and the server 15 is electrically connected with the temperature sensor 12, the cooling fan 8, the display screen 2, the audible and visual alarm 3, the touch display screen 4, the network switch 5 and the 5G base station 6 respectively.
The information acquired by the inspection robot is received through the 5G base station 6, the received information is transmitted to the server 15 through the network switch 5, the server 15 analyzes and processes the information and displays the information of the corresponding monitoring area through the corresponding display screen 2, when the area is abnormal, the corresponding audible and visual alarm 3 gives audible and visual alarm, then the display screen 2 displays an inspection report, so that the inspection operation is guided, the touch display screen 4 sends out relevant instruction information to the server 15, the temperature sensor 12 detects the temperature information in the cooling chamber 16, the detected information is transmitted to the server 15, and the server 15 controls the cooling fan 8 and the cooling liquid conveying unit 7 to work after analyzing and processing the information.
Further, the electronic cooling device further comprises spiral channels 18, the spiral channels 18 are distributed on the inner side of the heat exchange tube 17, cooling liquid in the cooling chamber 16 enters the electronic cooling liquid storage chamber 14 through the spiral channels 18 in the heat exchange tube 17, and the spiral channels 18 are used for increasing the passing path of the cooling liquid, so that the cooling effect of the cooling liquid is improved.
Further, the heat exchanger further comprises heat radiating fins 19, wherein the heat radiating fins 19 are of annular structures and are uniformly distributed on the outer sides of the heat exchange tubes 17, and heat on the heat exchange tubes 17 is radiated into the heat radiating chambers 20 through the heat radiating fins 19, so that the heat exchange efficiency of the heat exchange tubes 17 is improved.
Further, the cooling fan cooling device further comprises a dust blocking net 13, wherein the dust blocking net 13 is fixed on the side face of the cooling chamber 20 and distributed corresponding to the cooling fan 8, and the dust blocking net 13 is used for preventing external dust from entering the cooling chamber 20.
Further, the cooling liquid conveying unit 7 comprises a circulating pump 71 and a conveying pipe 72, the end part of the conveying pipe 72 is correspondingly communicated with the inside of the electronic cooling liquid storage chamber 14 and the inside of the cooling chamber 16, the circulating pump 71 is installed on the inner side of the electronic cooling liquid storage chamber 14, the outlet of the circulating pump is communicated with the conveying pipe 72, the circulating pump 71 is electrically connected with the server 15, and the cooled cooling liquid is conveyed into the cooling chamber 16 again through the conveying pipe 72 by the circulating pump 71, so that the server 15 is cooled continuously and cooled continuously, the service life of the server 15 is prolonged, and efficient operation of the server 15 is facilitated.
Further, still include trading liquid pipe 9, trading liquid pipe 9 intercommunication is fixed in the side of electron coolant liquid storage room 14, is equipped with ooff valve 10 on trading liquid pipe 9, opens ooff valve 10, changes the coolant liquid in the electron coolant liquid storage room 14 through trading liquid pipe 9, has guaranteed the rationality of design.
The invention also comprises an early warning method of the equipment state early warning device based on artificial intelligence, which comprises the following steps:
1) Statistical data: the information collected by the inspection robot is transmitted to the 5G base station 6 through the 5G communication module, the information collected by the inspection robot can comprise various factors such as visible light, infrared big data, equipment production years, brands, geographical areas, equipment operation time, manufacturer brands, climate environments, power loads and the like of historical inspection, the 5G base station 6 receives the information and transmits the information to the network switch 5, and the network switch 5 processes the information and transmits the information to the server 15;
2) Establishing a database: the server 15 integrates, classifies and analyzes the information, and then builds the information into a database;
3) Data were extracted and statistically analyzed: the server 15 performs multidimensional comparative analysis on the data and performs statistics:
in the step 2) and the step 3), the analysis method is one or more of a template matching method, an artificial neural network method, a support vector machine method, a cloud heterogeneous analysis method or a side cloud cooperative method;
4) Establishing a risk early warning model: the server 15 establishes a risk early warning model according to the statistical data, and early warns potential equipment hazards by prejudging the trend of the equipment state, wherein the prediction process is as follows: predicting equipment and positions which are possibly abnormal according to various factors such as equipment operation time, manufacturer brands, climate environment, power load and the like, and performing historical statistical analysis on areas where abnormal temperatures occur frequently and equipment parts which are abnormal, so that risk prediction is formed;
5) Producing a patrol report: and producing a patrol report according to the risk early warning model information, wherein the patrol report is used for guiding patrol operation.
The working load of operation and maintenance personnel is reduced through risk early warning, the equipment maintenance period can be prolonged, the maintenance cost is reduced, the equipment service life is prolonged, misoperation can be reduced, the working efficiency and the safety reliability of the whole transformer substation are improved, the power-off time is greatly shortened, and the loss cost caused by power interruption of the transformer substation is reduced.
The invention provides an artificial intelligence-based device state early warning device, which has the following working principle: the information collected by the inspection robot is received through the 5G base station 6, the received information is transmitted to the server 15 through the network switch 5, the server 15 analyzes the information and displays the information of a corresponding monitoring area through a corresponding display screen 2, when the area is abnormal, the corresponding audible and visual alarm 3 gives out audible and visual alarm, then the display screen 2 displays an inspection report, so that inspection operation is guided, the server 15 is sent out relevant instruction information through the touch display screen 4, the temperature sensor 12 detects temperature information in the cooling chamber 16, the detected information is transmitted to the server 15, the server 15 analyzes the information and then controls the cooling fan 8 and the circulating pump 71 to work, cooling liquid in the cooling chamber 16 enters the electronic cooling liquid storage chamber 14 through the spiral channel 18 in the heat exchange tube 17, heat on the heat exchange tube 17 is emitted into the heat exchange chamber 20 through the heat dissipation fin 19, the cooling fan 8 conveys the heat in the heat exchange chamber 20 to the outer side of the heat exchange chamber 20, cooling liquid in the heat exchange tube 17 enters the electronic cooling liquid storage chamber 14, the cooling liquid in the electronic cooling chamber 14 is conveyed into the cooling liquid storage chamber 14 through the cooling liquid storage chamber 14 again, and then the cooling liquid storage chamber 14 is conveyed into the cooling liquid storage chamber 14 through the cooling pump 72, and then the cooling liquid storage chamber is cooled down valve is continuously is opened, and the cooling liquid in the cooling chamber is cooled down chamber is continuously cooled down by the cooling liquid storage chamber 14.
It should be noted that, in the above embodiment, the circulation pump 71, the server 15, the cooling fan 8, the display screen 2, the audible and visual alarm 3, the touch display screen 4, the network switch 5 and the 5G base station 6 are all configured according to the actual application scenario, the pt100 temperature sensor CWF1 is selected as the temperature sensor 12, and the KEY-125 electronic cooling liquid is adopted as the cooling liquid in the electronic cooling liquid storage chamber 14.
While the invention has been particularly shown and described with reference to a preferred embodiment, it will be understood by those skilled in the art that various changes in form and details may be made therein without departing from the spirit and scope of the invention as defined by the appended claims.
Claims (5)
1. An artificial intelligence-based equipment state early warning device is characterized in that: comprises a machine body (1) and a cooling fan (8); organism (1): the electronic cooling system comprises a machine body (1), wherein a display screen (2), an audible and visual alarm (3) and a touch display screen (4) are respectively arranged on the front side, the display screen (2) and the audible and visual alarm (3) are arranged in parallel in an array mode, the display screen (2) and the audible and visual alarm (3) are in one-to-one correspondence, a network switch (5) and a 5G base station (6) are respectively arranged at the top of the machine body (1), a cooling chamber (16), a cooling chamber (20) and an electronic cooling liquid storage chamber (14) are sequentially arranged on the inner side of the machine body (1) from top to bottom, a server (15) is arranged on the inner side of the cooling chamber (16), the cooling chamber (16) is communicated with the interior of the electronic cooling liquid storage chamber (14) through a heat exchange tube (17), the electronic cooling liquid storage chamber (14) is communicated with the interior of the cooling chamber (16) through a cooling liquid conveying unit (7), the heat exchange tube (17) is distributed on the inner side of the cooling chamber (20), and an observation window (11) is arranged at the position of the machine body (1) corresponding to the cooling chamber (16). Cooling fan (8): is arranged on the side surface of the heat dissipation chamber (20); the intelligent cooling system further comprises a temperature sensor (12), wherein the temperature sensor (12) is arranged on the machine body (1) and detection ends are distributed on the inner side of the cooling chamber (16), the server (15) is electrically connected with an external power supply through an external control switch, and the server (15) is electrically connected with the temperature sensor (12), the cooling fan (8), the display screen (2), the audible and visual alarm (3) and the touch display screen (4), the network switch (5) and the 5G base station (6) respectively; the heat exchange tube also comprises spiral channels (18), wherein the spiral channels (18) are distributed on the inner side of the heat exchange tube (17); the heat exchange tube also comprises heat dissipation fins (19), wherein the heat dissipation fins (19) are of annular structures and are uniformly distributed on the outer sides of the heat exchange tubes (17); the cooling device further comprises a dust blocking net (13), wherein the dust blocking net (13) is fixed on the side face of the heat dissipation chamber (20) and distributed corresponding to the cooling fans (8); the cooling liquid conveying unit (7) comprises a circulating pump (71) and a conveying pipe (72), the end part of the conveying pipe (72) is correspondingly communicated with the inside of the electronic cooling liquid storage chamber (14) and the inside of the cooling chamber (16), the circulating pump (71) is arranged at the inner side of the electronic cooling liquid storage chamber (14) and the outlet is communicated with the conveying pipe (72), and the circulating pump (71) is electrically connected with the server (15);
the electronic cooling liquid storage device is characterized by further comprising a liquid exchange tube (9), wherein the liquid exchange tube (9) is communicated and fixed on the side face of the electronic cooling liquid storage chamber (14), and an on-off valve (10) is arranged on the liquid exchange tube (9).
2. An early warning method of the artificial intelligence based equipment state early warning device according to claim 1, characterized in that: the method comprises the following steps: 1) Statistical data: the information acquired by the inspection robot is transmitted to a 5G base station (6) through a 5G communication module, the 5G base station (6) receives the information and transmits the information to a network switch (5), and the network switch (5) processes the information and transmits the information to a server (15); 2) Establishing a database: the server (15) integrates, classifies and analyzes the information, and then builds the information into a database; 3) Data were extracted and statistically analyzed: the server (15) performs multidimensional comparison analysis on the data and performs statistics; 4) Establishing a risk early warning model: the server (15) establishes a risk early warning model according to the statistical data, and early warns potential equipment hazards by prejudging the trend of the equipment state; 5) Producing a patrol report: and producing a patrol report according to the risk early warning model information, wherein the patrol report is used for guiding patrol operation.
3. The early warning method of the artificial intelligence-based equipment state early warning device according to claim 2, wherein the early warning method is characterized by comprising the following steps of: in step 1), the information collected by the inspection robot includes various factors including visible light, infrared big data, equipment production years, brands and geographic areas of historical inspection, equipment operation time, manufacturer brands, climate environment and power load.
4. The early warning method of the artificial intelligence-based equipment state early warning device according to claim 2, wherein the early warning method is characterized by comprising the following steps of: in the step 2) and the step 3), the analysis method is one or more of a template matching method, an artificial neural network method, a support vector machine method, a cloud heterogeneous analysis method or a side cloud cooperative method.
5. The early warning method of the artificial intelligence-based equipment state early warning device according to claim 2, wherein the early warning method is characterized by comprising the following steps of: in step 4), the prediction process of the risk early-warning model is as follows: predicting equipment and positions which are possibly abnormal according to various factors such as equipment operation time, manufacturer brands, climate environment, power load and the like, and performing historical statistical analysis on areas where abnormal temperatures frequently occur and equipment parts which are abnormal, so that risk prediction is formed.
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| CN202111075234.9A CN113741306B (en) | 2021-09-14 | 2021-09-14 | Equipment state early warning device based on artificial intelligence and early warning method thereof |
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| WO2013161052A1 (en) * | 2012-04-27 | 2013-10-31 | 株式会社日立製作所 | Cooling apparatus and cooling system |
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| CN102801216A (en) * | 2012-09-06 | 2012-11-28 | 上海欣影电力科技发展有限公司 | Intelligent substation inspection system |
| CN206393069U (en) * | 2017-01-05 | 2017-08-11 | 济南振华数控科技有限公司 | A kind of Intelligent cooling device of laser engraving machine |
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