CN113588886A - Sulfur hexafluoride gas full-flow cycle monitoring system - Google Patents
Sulfur hexafluoride gas full-flow cycle monitoring system Download PDFInfo
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- 229910018503 SF6 Inorganic materials 0.000 title claims abstract description 134
- SFZCNBIFKDRMGX-UHFFFAOYSA-N sulfur hexafluoride Chemical compound FS(F)(F)(F)(F)F SFZCNBIFKDRMGX-UHFFFAOYSA-N 0.000 title claims abstract description 134
- 229960000909 sulfur hexafluoride Drugs 0.000 title claims abstract description 134
- 238000012544 monitoring process Methods 0.000 title claims abstract description 41
- 238000004891 communication Methods 0.000 claims abstract description 26
- 230000000737 periodic effect Effects 0.000 claims abstract description 20
- 239000007789 gas Substances 0.000 claims description 230
- 239000012535 impurity Substances 0.000 claims description 135
- 238000003745 diagnosis Methods 0.000 claims description 54
- 238000000034 method Methods 0.000 claims description 19
- 238000010586 diagram Methods 0.000 claims description 10
- 238000011084 recovery Methods 0.000 claims description 10
- 238000001514 detection method Methods 0.000 claims description 7
- 239000008186 active pharmaceutical agent Substances 0.000 claims description 3
- 239000011159 matrix material Substances 0.000 description 5
- 229910000831 Steel Inorganic materials 0.000 description 3
- 239000010959 steel Substances 0.000 description 3
- 230000000694 effects Effects 0.000 description 2
- 238000010606 normalization Methods 0.000 description 2
- 238000000513 principal component analysis Methods 0.000 description 2
- 238000012847 principal component analysis method Methods 0.000 description 2
- 238000012545 processing Methods 0.000 description 2
- 229910004014 SiF4 Inorganic materials 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
- 238000013527 convolutional neural network Methods 0.000 description 1
- 238000013480 data collection Methods 0.000 description 1
- 239000005431 greenhouse gas Substances 0.000 description 1
- 238000003062 neural network model Methods 0.000 description 1
- 238000012163 sequencing technique Methods 0.000 description 1
- LSJNBGSOIVSBBR-UHFFFAOYSA-N thionyl fluoride Chemical compound FS(F)=O LSJNBGSOIVSBBR-UHFFFAOYSA-N 0.000 description 1
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Abstract
The invention provides a sulfur hexafluoride gas full-flow cycle monitoring system, which is applied to the technical field of sulfur hexafluoride gas and comprises the following components: the system comprises an intelligent terminal, a data acquisition module, a wireless communication module and an Internet of things cloud platform; the intelligent terminal is used for scanning a preset RFID label on the target electrical equipment, identifying equipment information data of the target electrical equipment according to the RFID label and sending the equipment information data to the Internet of things cloud platform through the wireless communication module; the data acquisition module is used for acquiring the use parameter data of sulfur hexafluoride gas corresponding to the target electrical equipment and sending the use parameter data to the Internet of things cloud platform through the wireless communication module; the internet of things cloud platform is used for generating a tracking management record of sulfur hexafluoride gas based on the equipment information data and the use parameter data so as to realize the whole-flow periodic monitoring of the sulfur hexafluoride gas.
Description
Technical Field
The invention belongs to the technical field of sulfur hexafluoride gas, and particularly relates to a sulfur hexafluoride gas full-flow-path periodic monitoring system.
Background
Sulfur hexafluoride gas, which is the most common insulating arc extinguishing medium, has been widely used in various power equipment such as GIS, circuit breakers, voltage (current) transformers, and the like, but it has excellent insulating properties and also produces severe greenhouse effect, and is listed as one of six greenhouse gases which are prohibited to be discharged. With the great investment and operation of various sulfur hexafluoride electrical equipment, the complexity of sulfur hexafluoride supervision is gradually increased, and the overhaul capacity of the sulfur hexafluoride electrical equipment is correspondingly gradually increased.
In the prior art, management of sulfur hexafluoride gas is usually realized through manual detection records, and the method is high in labor cost and not convenient enough. Therefore, how to provide a sulfur hexafluoride gas management scheme with low labor cost and convenience becomes a problem to be solved urgently by those skilled in the art.
Disclosure of Invention
The invention aims to provide a sulfur hexafluoride gas full-flow cycle monitoring system to solve the technical problems in the prior art.
In order to achieve the above object, the present invention provides a system for periodically monitoring sulfur hexafluoride gas in a full process, including:
the system comprises an intelligent terminal, a data acquisition module, a wireless communication module and an Internet of things cloud platform;
the intelligent terminal is used for scanning a preset RFID label on target electrical equipment, identifying equipment information data of the target electrical equipment according to the RFID label, and sending the equipment information data to the Internet of things cloud platform through a wireless communication module; the target electrical equipment is sulfur hexafluoride electrical equipment;
the data acquisition module is used for acquiring use parameter data of sulfur hexafluoride gas corresponding to target electrical equipment and sending the use parameter data to the Internet of things cloud platform through the wireless communication module;
the Internet of things cloud platform is used for generating a tracking management record of the sulfur hexafluoride gas based on the equipment information data and the use parameter data so as to realize the full-flow periodic monitoring of the sulfur hexafluoride gas.
Optionally, the usage parameter data includes first weight data of a gas-filled steel cylinder corresponding to the sulfur hexafluoride gas, second weight data of the sulfur hexafluoride gas in the target electrical device, and third weight data of a recovery device corresponding to the sulfur hexafluoride gas; the data acquisition module comprises a first weight acquisition device, a second weight acquisition device and a third weight acquisition device;
the first weight acquisition device is used for acquiring the first weight data and transmitting the first weight data to the Internet of things cloud platform through the wireless communication module;
the second weight acquisition device is used for acquiring the second weight data and transmitting the second weight data to the Internet of things cloud platform through the wireless communication module;
the third weight acquisition device is used for acquiring the third weight data and transmitting the third weight data to the Internet of things cloud platform through the wireless communication module.
Optionally, the tracking management record includes a gas warehousing record, a gas usage record and a gas recovery record;
the Internet of things cloud platform is used for generating a gas warehousing record according to the first weight data, generating a gas use record according to the first weight data and the second weight data, and generating a gas recovery record according to the first weight data, the second weight data and the third weight data.
Optionally, the sulfur hexafluoride gas full-flow-path periodic monitoring system further comprises a label generation module;
the label generation module is used for generating an RFID label according to the equipment information data of the target electrical equipment.
Optionally, the intelligent terminal is further configured to query a tracking management record of the sulfur hexafluoride gas according to the number of the gas-filled steel cylinder corresponding to the sulfur hexafluoride gas.
Optionally, the sulfur hexafluoride gas full-flow periodic monitoring system further comprises an impurity gas detection module;
the impurity gas detection module is used for detecting the actual content of various impurity gases in the target electrical equipment and sending the actual content of various impurity gases to the Internet of things cloud platform through the wireless communication module;
the Internet of things cloud platform is further used for carrying out fault diagnosis on the target electrical equipment according to the actual content of various impurity gases.
Optionally, the specific process of the internet of things cloud platform performing fault diagnosis on the target electrical device according to the actual content of each impurity gas is as follows:
determining a target impurity gas based on the actual content of each impurity gas;
inputting the actual content of the target impurity gas into a preset first diagnosis model to obtain a first diagnosis result of the target sulfur hexafluoride electrical equipment; the first diagnosis result comprises discharge fault types of a plurality of groups of target sulfur hexafluoride electrical equipment and discharge energy corresponding to the discharge fault types;
inputting the initial content of sulfur hexafluoride in the target sulfur hexafluoride electrical equipment and the first diagnosis result into a preset second diagnosis model to obtain the theoretical content of impurity gases of a plurality of groups of target sulfur hexafluoride electrical equipment;
and determining the discharge fault category of the target sulfur hexafluoride electrical equipment based on the actual content of various impurity gases and the theoretical content of the impurity gases of the multiple groups of target sulfur hexafluoride electrical equipment.
Optionally, the determining the target impurity gas based on the actual content of each impurity gas includes:
determining the influence degree of each impurity gas based on the actual content of each impurity gas; the influence degree of various impurity gases is the influence degree of various impurity gases on the insulating property of sulfur hexafluoride electrical equipment;
the target impurity gas is determined based on the influence degrees of the respective impurity gases.
Optionally, the internet of things cloud platform is further configured to update the first diagnosis result;
the process of updating the first diagnosis result by the Internet of things cloud platform is as follows:
generating a characteristic diagram corresponding to the target impurity gas according to the actual content of the target impurity gas;
inputting the characteristic diagram corresponding to the target impurity gas into a preset third diagnosis model to obtain a second diagnosis result; the second diagnosis result comprises discharge fault types of a plurality of groups of target sulfur hexafluoride electrical equipment and discharge energy corresponding to the discharge fault types;
and fusing the first diagnosis result and the second diagnosis result based on a DS evidence theory to obtain an updated first diagnosis result.
Optionally, the determining the discharge fault category of the target sulfur hexafluoride electrical equipment based on the actual content of the various impurity gases and the theoretical content of the impurity gases of the multiple groups of target sulfur hexafluoride electrical equipment includes:
respectively matching the theoretical content of the impurity gas of each group of target sulfur hexafluoride electrical equipment with the actual content of each impurity gas;
and if the matching degree of the theoretical content of the impurity gas of a certain group of target sulfur hexafluoride electrical equipment and the actual content of various impurity gases is greater than the preset matching degree, taking the discharge fault category corresponding to the theoretical content of the impurity gas of the group of target sulfur hexafluoride electrical equipment as the discharge fault category of the target sulfur hexafluoride electrical equipment.
The sulfur hexafluoride gas full-flow cycle monitoring system provided by the invention has the beneficial effects that:
different from the prior art, the automatic sulfur hexafluoride gas full-flow-cycle monitoring system is realized based on the Internet of things, namely, the intelligent terminal and the data acquisition module are used for acquiring data, the data are transmitted through the wireless communication module, and the data are analyzed through the cloud platform of the Internet of things so as to realize the monitoring of the sulfur hexafluoride gas full-flow-cycle. The invention solves the problem of high labor cost of the existing monitoring scheme, and is more convenient and more effective compared with the prior art.
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In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the drawings needed for the embodiments or the prior art descriptions will be briefly described below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and it is obvious for those skilled in the art to obtain other drawings without creative efforts.
Fig. 1 is a schematic structural diagram of a sulfur hexafluoride gas full-process periodic monitoring system according to an embodiment of the present invention.
Detailed Description
In order to make the technical problems, technical solutions and advantageous effects to be solved by the present invention more clearly apparent, the present invention is further described in detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative of the invention and are not intended to limit the invention.
The present invention will be described in further detail with reference to the accompanying drawings and specific embodiments.
Referring to fig. 1, fig. 1 is a schematic structural diagram of a sulfur hexafluoride gas full-flow-path periodic monitoring system according to an embodiment of the present invention, where the sulfur hexafluoride gas full-flow-path periodic monitoring system 10 includes:
the system comprises an intelligent terminal 11, a data acquisition module 12, a wireless communication module 13 and an Internet of things cloud platform 14.
The intelligent terminal 11 is used for scanning a preset RFID tag on the target electrical device, identifying device information data of the target electrical device according to the RFID tag, and sending the device information data to the internet of things cloud platform 14 through the wireless communication module 13. The target electrical equipment is sulfur hexafluoride electrical equipment.
The data acquisition module 12 is used for acquiring usage parameter data of sulfur hexafluoride gas corresponding to the target electrical equipment, and sending the usage parameter data to the internet of things cloud platform 14 through the wireless communication module 13.
The internet of things cloud platform 14 is used for generating tracking management records of sulfur hexafluoride gas based on the equipment information data and the use parameter data so as to realize the whole-flow periodic monitoring of the sulfur hexafluoride gas.
In this embodiment, the usage parameter data includes first weight data of the gas cylinder corresponding to sulfur hexafluoride gas, second weight data of sulfur hexafluoride gas in the target electrical device, and third weight data of the recovery device corresponding to sulfur hexafluoride gas.
In this embodiment, the data collection module includes a first weight collection device, a second weight collection device, and a third weight collection device.
The first weight acquisition device is used for acquiring first weight data and sending the first weight data to the Internet of things cloud platform through the wireless communication module.
The second weight acquisition device is used for acquiring second weight data and sending the second weight data to the Internet of things cloud platform through the wireless communication module.
The third weight acquisition device is used for acquiring third weight data and transmitting the third weight data to the Internet of things cloud platform through the wireless communication module.
The second weight acquisition device is arranged at an inflation inlet of the target electrical equipment, and can comprise a temperature sensor, a pressure sensor and a processor, wherein the processor calculates the first weight data according to the temperature data of the sulfur hexafluoride acquired by the temperature sensor, the pressure data of the sulfur hexafluoride acquired by the pressure sensor and the effective volume of the target electrical equipment.
In the present embodiment, the trace management record includes a gas warehousing record, a gas usage record, and a gas recovery record. The Internet of things cloud platform is used for generating a gas warehousing record according to the first weight data, generating a gas use record according to the first weight data and the second weight data, and generating a gas recovery record according to the first weight data, the second weight data and the third weight data.
That is to say, the cloud platform of the internet of things realizes the whole-flow periodic monitoring of sulfur hexafluoride gas through records of gas storage, gas use, gas recovery and the like.
From the above description, the invention realizes an automatic sulfur hexafluoride gas full-flow-cycle monitoring system based on the internet of things, namely, the intelligent terminal and the data acquisition module are used for acquiring data, the data are transmitted through the wireless communication module, and the data are analyzed through the cloud platform of the internet of things so as to realize the monitoring of the sulfur hexafluoride gas full-flow-cycle. The invention solves the problem of high labor cost of the existing monitoring scheme, and is more convenient and more effective compared with the prior art.
Optionally, as a specific implementation manner of the sulfur hexafluoride gas full-process periodic monitoring system provided in the embodiment of the present invention, the sulfur hexafluoride gas full-process periodic monitoring system further includes a tag generation module.
The label generation module is used for generating an RFID label according to the equipment information data of the target electrical equipment.
In this embodiment, the device information data of the target electrical device includes, but is not limited to, a device model, a device number, a manufacturer, an effective volume, and the like of the target electrical device.
Optionally, as a specific implementation manner of the system for monitoring sulfur hexafluoride gas in a full-flow cycle according to the embodiment of the present invention, the intelligent terminal is further configured to query a tracking management record of sulfur hexafluoride gas according to a number of a gas-filled steel cylinder corresponding to the sulfur hexafluoride gas.
In this embodiment, the tracking management record of sulfur hexafluoride gas may be queried by the intelligent terminal.
Optionally, as a specific implementation manner of the sulfur hexafluoride gas full-process periodic monitoring system provided in the embodiment of the present invention, the sulfur hexafluoride gas full-process periodic monitoring system further includes an impurity gas detection module.
The impurity gas detection module is used for detecting the actual content of various impurity gases in the target electrical equipment and sending the actual content of various impurity gases to the Internet of things cloud platform through the wireless communication module.
The Internet of things cloud platform is further used for carrying out fault diagnosis on the target electrical equipment according to the actual content of various impurity gases.
In this embodiment, the internet of things cloud platform can also realize a remote fault diagnosis function, that is, fault diagnosis is performed on the target electrical equipment according to the actual content of various impurity gases.
Optionally, as a specific implementation manner of the sulfur hexafluoride gas full-flow periodic monitoring system provided in the embodiment of the present invention, a specific process of the internet of things cloud platform performing fault diagnosis on the target electrical device according to the actual content of each impurity gas is as follows:
the target impurity gas is determined based on the actual content of each impurity gas.
And inputting the actual content of the target impurity gas into a preset first diagnosis model to obtain a first diagnosis result of the target sulfur hexafluoride electrical equipment. The first diagnosis result includes discharge fault categories of the multiple groups of target sulfur hexafluoride electrical equipment and discharge energy corresponding to the discharge fault categories.
And inputting the initial content of sulfur hexafluoride in the target sulfur hexafluoride electrical equipment and the first diagnosis result into a preset second diagnosis model to obtain the theoretical content of the impurity gases of the multiple groups of target sulfur hexafluoride electrical equipment.
And determining the discharge fault category of the target sulfur hexafluoride electrical equipment based on the actual content of various impurity gases and the theoretical content of the impurity gases of the multiple groups of target sulfur hexafluoride electrical equipment.
In the present embodiment, various impurity gases include, but are not limited to, SF2、HF、SF4、SOF2、CF4、SO2、H2O、SiF4And the like.
In the present embodiment, the target impurity gas is also the impurity gas that participates in the failure diagnosis.
S102: and inputting the actual content of the target impurity gas into a preset first diagnosis model to obtain a first diagnosis result of the target sulfur hexafluoride electrical equipment.
In this embodiment, the first diagnosis result includes discharge fault categories of the multiple groups of target sulfur hexafluoride electrical devices and discharge energies corresponding to the discharge fault categories.
In this embodiment, the first diagnostic models corresponding to various types of impurity gases may be trained in advance, and then the preset first diagnostic model to be used may be determined according to the type of the target impurity gas. The first diagnosis model is used for receiving the actual content of the target impurity gas and outputting a plurality of groups of discharge fault categories of the target sulfur hexafluoride electrical equipment and discharge energy corresponding to the discharge fault categories (a certain discharge fault category and the discharge energy corresponding to the discharge fault category form a group of data, and more than one discharge fault is available, so that the discharge fault categories of the plurality of groups of target sulfur hexafluoride electrical equipment and the discharge energy corresponding to the discharge fault categories can be output).
In this embodiment, the second diagnostic model is configured to determine the theoretical content of the impurity gas corresponding to each set of data in the first diagnostic result according to the input initial content of the sulfur hexafluoride and the sets of data in the first diagnostic result (as above, each set of data includes a discharge fault type and a discharge energy corresponding to the discharge fault type).
That is, each set of data in the first diagnostic result corresponds to one set of theoretical contents of impurity gases, and therefore, the second diagnostic module can output a plurality of sets of theoretical contents of impurity gases.
In this embodiment, determining the discharge fault category of the target sulfur hexafluoride electrical equipment based on the actual content of each impurity gas and the theoretical content of the impurity gases of the plurality of groups of target sulfur hexafluoride electrical equipment includes:
and respectively matching the theoretical content of the impurity gas of each group of target sulfur hexafluoride electrical equipment with the actual content of each impurity gas.
And if the matching degree of the theoretical content of the impurity gas of a certain group of target sulfur hexafluoride electrical equipment and the actual content of various impurity gases is greater than the preset matching degree, taking the discharge fault category corresponding to the theoretical content of the impurity gas of the group of target sulfur hexafluoride electrical equipment as the discharge fault category of the target sulfur hexafluoride electrical equipment.
The theoretical contents of the impurity gases correspond to the discharge fault types in the first diagnosis result one by one, so that the discharge fault types of the target sulfur hexafluoride electrical equipment can be determined according to the corresponding relation.
Optionally, as a specific implementation manner of the sulfur hexafluoride gas full-process periodic monitoring system provided in the embodiment of the present invention, the determining the target impurity gas based on the actual content of each impurity gas includes:
the degree of influence of each impurity gas is determined based on the actual content of each impurity gas. The influence degree of various impurity gases is the influence degree of various impurity gases on the insulating property of sulfur hexafluoride electrical equipment.
The target impurity gas is determined based on the influence degrees of the respective impurity gases.
The determination of the target impurity gas based on the influence degrees of various impurity gases in the present embodiment includes:
if the influence degree of a certain impurity gas is greater than the preset influence degree value, the impurity gas is divided into target impurity gases.
That is, the target impurity gas is a gas having an influence value larger than a preset influence value, and the non-target impurity gas is a gas having an influence value not larger than the preset influence value.
In the present embodiment, the influence degree of each impurity gas is determined based on the actual content of each impurity gas, including: and performing principal component analysis on the various impurity gases based on a principal component analysis method and actual contents of the various impurity gases to obtain total variance ratios corresponding to the various impurity gases, and taking the total variance ratios corresponding to the various impurity gases as the influence degrees of the various impurity gases.
In this embodiment, the principal component analysis can be performed on each impurity gas based on the principal component analysis method and the content of each impurity gas, so as to obtain the characteristic values corresponding to each impurity gas and the ratio of the characteristic values corresponding to each impurity gas to the total variance (i.e., the total variance ratio corresponding to each impurity gas).
Optionally, as a specific implementation manner of the sulfur hexafluoride gas full-process periodic monitoring system provided by the embodiment of the present invention, the internet of things cloud platform is further configured to update the first diagnosis result.
The process of updating the first diagnosis result by the cloud platform of the internet of things comprises the following steps:
and generating a characteristic diagram corresponding to the target impurity gas according to the actual content of the target impurity gas.
And inputting the characteristic diagram corresponding to the target impurity gas into a preset third diagnosis model to obtain a second diagnosis result. The second diagnosis result includes discharge fault categories of the multiple groups of target sulfur hexafluoride electrical equipment and discharge energy corresponding to the discharge fault categories.
And fusing the first diagnosis result and the second diagnosis result based on the DS evidence theory to obtain an updated first diagnosis result.
In this embodiment, in order to further improve the diagnosis accuracy, the actual content of the target impurity gas may be converted into a form of a characteristic map, and the secondary diagnosis may be performed based on the characteristic map.
In this embodiment, the third diagnostic models corresponding to various types of impurity gases may be trained in advance, and then the preset third diagnostic model to be used may be determined according to the type of the target impurity gas.
Wherein, according to the actual content of target impurity gas, the characteristic diagram that the target impurity gas corresponds is generated, including:
and sequencing the actual contents of the target impurity gases according to a preset sequence to form a gas content matrix.
And carrying out normalization processing on the gas content matrix, and taking the gas content matrix after the normalization processing as a pixel matrix.
And generating a characteristic diagram corresponding to the target impurity gas according to the pixel matrix.
The first diagnostic model and the second diagnostic model can be probabilistic neural network models, and the third diagnostic model can be convolutional neural network models.
Optionally, as a specific implementation manner of the system for monitoring the sulfur hexafluoride gas in the full flow cycle provided in the embodiment of the present invention, determining the discharge fault category of the target sulfur hexafluoride electrical device based on the actual content of each impurity gas and the theoretical content of the impurity gases of the plurality of groups of target sulfur hexafluoride electrical devices includes:
and respectively matching the theoretical content of the impurity gas of each group of target sulfur hexafluoride electrical equipment with the actual content of each impurity gas.
And if the matching degree of the theoretical content of the impurity gas of a certain group of target sulfur hexafluoride electrical equipment and the actual content of various impurity gases is greater than the preset matching degree, taking the discharge fault category corresponding to the theoretical content of the impurity gas of the group of target sulfur hexafluoride electrical equipment as the discharge fault category of the target sulfur hexafluoride electrical equipment.
While the invention has been described with reference to specific embodiments, 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. Therefore, the protection scope of the present invention shall be subject to the protection scope of the claims.
Claims (10)
1. The utility model provides a sulfur hexafluoride gas full flow cycle monitored control system which characterized in that includes:
the system comprises an intelligent terminal, a data acquisition module, a wireless communication module and an Internet of things cloud platform;
the intelligent terminal is used for scanning a preset RFID label on target electrical equipment, identifying equipment information data of the target electrical equipment according to the RFID label, and sending the equipment information data to the Internet of things cloud platform through a wireless communication module; the target electrical equipment is sulfur hexafluoride electrical equipment;
the data acquisition module is used for acquiring use parameter data of sulfur hexafluoride gas corresponding to target electrical equipment and sending the use parameter data to the Internet of things cloud platform through the wireless communication module;
the Internet of things cloud platform is used for generating a tracking management record of the sulfur hexafluoride gas based on the equipment information data and the use parameter data so as to realize the full-flow periodic monitoring of the sulfur hexafluoride gas.
2. The sulfur hexafluoride gas full flow cycle monitoring system of claim 1, wherein the usage parameter data includes first weight data of a gas filled cylinder corresponding to the sulfur hexafluoride gas, second weight data of sulfur hexafluoride gas in the target electrical device, and third weight data of a recovery device corresponding to the sulfur hexafluoride gas; the data acquisition module comprises a first weight acquisition device, a second weight acquisition device and a third weight acquisition device;
the first weight acquisition device is used for acquiring the first weight data and transmitting the first weight data to the Internet of things cloud platform through the wireless communication module;
the second weight acquisition device is used for acquiring the second weight data and transmitting the second weight data to the Internet of things cloud platform through the wireless communication module;
the third weight acquisition device is used for acquiring the third weight data and transmitting the third weight data to the Internet of things cloud platform through the wireless communication module.
3. The sulfur hexafluoride gas full flow cycle monitoring system of claim 2, wherein said tracking management records include gas warehousing records, gas usage records, and gas recovery records;
the Internet of things cloud platform is used for generating a gas warehousing record according to the first weight data, generating a gas use record according to the first weight data and the second weight data, and generating a gas recovery record according to the first weight data, the second weight data and the third weight data.
4. The sulfur hexafluoride gas full process cycle monitoring system of claim 1 further including a label generating module;
the label generation module is used for generating an RFID label according to the equipment information data of the target electrical equipment.
5. The sulfur hexafluoride gas full-process periodic monitoring system of claim 1, wherein the intelligent terminal is further configured to query a tracking management record of the sulfur hexafluoride gas according to a number of a gas cylinder corresponding to the sulfur hexafluoride gas.
6. The sulfur hexafluoride gas full flow cycle monitoring system of claim 1, further comprising an impurity gas detection module;
the impurity gas detection module is used for detecting the actual content of various impurity gases in the target electrical equipment and sending the actual content of various impurity gases to the Internet of things cloud platform through the wireless communication module;
the Internet of things cloud platform is further used for carrying out fault diagnosis on the target electrical equipment according to the actual content of various impurity gases.
7. The sulfur hexafluoride gas full-process periodic monitoring system as claimed in claim 6, wherein the specific process of the internet of things cloud platform performing fault diagnosis on the target electrical equipment according to the actual content of various impurity gases is as follows:
determining a target impurity gas based on the actual content of each impurity gas;
inputting the actual content of the target impurity gas into a preset first diagnosis model to obtain a first diagnosis result of the target sulfur hexafluoride electrical equipment; the first diagnosis result comprises discharge fault types of a plurality of groups of target sulfur hexafluoride electrical equipment and discharge energy corresponding to the discharge fault types;
inputting the initial content of sulfur hexafluoride in the target sulfur hexafluoride electrical equipment and the first diagnosis result into a preset second diagnosis model to obtain the theoretical content of impurity gases of a plurality of groups of target sulfur hexafluoride electrical equipment;
and determining the discharge fault category of the target sulfur hexafluoride electrical equipment based on the actual content of various impurity gases and the theoretical content of the impurity gases of the multiple groups of target sulfur hexafluoride electrical equipment.
8. The sulfur hexafluoride gas full flow cycle monitoring system of claim 7, wherein said determining a target impurity gas based on actual contents of various impurity gases includes:
determining the influence degree of each impurity gas based on the actual content of each impurity gas; the influence degree of various impurity gases is the influence degree of various impurity gases on the insulating property of sulfur hexafluoride electrical equipment;
the target impurity gas is determined based on the influence degrees of the respective impurity gases.
9. The sulfur hexafluoride gas full process cycle monitoring system of claim 7, wherein the internet of things cloud platform is further configured to update the first diagnostic result;
the process of updating the first diagnosis result by the Internet of things cloud platform is as follows:
generating a characteristic diagram corresponding to the target impurity gas according to the actual content of the target impurity gas;
inputting the characteristic diagram corresponding to the target impurity gas into a preset third diagnosis model to obtain a second diagnosis result; the second diagnosis result comprises discharge fault types of a plurality of groups of target sulfur hexafluoride electrical equipment and discharge energy corresponding to the discharge fault types;
and fusing the first diagnosis result and the second diagnosis result based on a DS evidence theory to obtain an updated first diagnosis result.
10. The sulfur hexafluoride gas full flow cycle monitoring system of claim 7, wherein said determining the discharge fault category of the target sulfur hexafluoride electrical equipment based on actual contents of various impurity gases and theoretical contents of impurity gases of a plurality of groups of target sulfur hexafluoride electrical equipment includes:
respectively matching the theoretical content of the impurity gas of each group of target sulfur hexafluoride electrical equipment with the actual content of each impurity gas;
and if the matching degree of the theoretical content of the impurity gas of a certain group of target sulfur hexafluoride electrical equipment and the actual content of various impurity gases is greater than the preset matching degree, taking the discharge fault category corresponding to the theoretical content of the impurity gas of the group of target sulfur hexafluoride electrical equipment as the discharge fault category of the target sulfur hexafluoride electrical equipment.
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