CN112326038A - Transformer substation intelligent temperature measurement system based on 5G communication and temperature measurement method thereof - Google Patents
Transformer substation intelligent temperature measurement system based on 5G communication and temperature measurement method thereof Download PDFInfo
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- 238000009529 body temperature measurement Methods 0.000 title claims abstract description 35
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01J—MEASUREMENT OF INTENSITY, VELOCITY, SPECTRAL CONTENT, POLARISATION, PHASE OR PULSE CHARACTERISTICS OF INFRARED, VISIBLE OR ULTRAVIOLET LIGHT; COLORIMETRY; RADIATION PYROMETRY
- G01J5/00—Radiation pyrometry, e.g. infrared or optical thermometry
- G01J5/0096—Radiation pyrometry, e.g. infrared or optical thermometry for measuring wires, electrical contacts or electronic systems
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01R—MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
- G01R31/00—Arrangements for testing electric properties; Arrangements for locating electric faults; Arrangements for electrical testing characterised by what is being tested not provided for elsewhere
- G01R31/12—Testing dielectric strength or breakdown voltage ; Testing or monitoring effectiveness or level of insulation, e.g. of a cable or of an apparatus, for example using partial discharge measurements; Electrostatic testing
- G01R31/1218—Testing dielectric strength or breakdown voltage ; Testing or monitoring effectiveness or level of insulation, e.g. of a cable or of an apparatus, for example using partial discharge measurements; Electrostatic testing using optical methods; using charged particle, e.g. electron, beams or X-rays
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V40/00—Recognition of biometric, human-related or animal-related patterns in image or video data
- G06V40/20—Movements or behaviour, e.g. gesture recognition
- G06V40/28—Recognition of hand or arm movements, e.g. recognition of deaf sign language
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N5/00—Details of television systems
- H04N5/30—Transforming light or analogous information into electric information
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N7/00—Television systems
- H04N7/18—Closed-circuit television [CCTV] systems, i.e. systems in which the video signal is not broadcast
Abstract
The invention relates to a transformer substation intelligent temperature measurement system based on 5G communication and a temperature measurement method thereof, belonging to the technical field of transformer substation intelligent temperature measurement systems; the technical problem to be solved is as follows: the improvement of the hardware structure of the intelligent temperature measuring system of the transformer substation based on 5G communication is provided; the technical scheme for solving the technical problems is as follows: the intelligent helmet comprises an intelligent helmet body, an AR (augmented reality) glasses, a background diagnosis system and a database, wherein the intelligent helmet body comprises a helmet body, an imaging device, a first processor and a first 5G communication module, and the first processor is in two-way communication with the background diagnosis system through the first 5G communication module; the AR glasses comprise a glass frame, a lens display, a camera arranged on the outer side of the glass frame, an optical module, a second processor, a second 5G communication module and a fourth signal processing module, wherein the second processor is in two-way communication with the background diagnosis system through the second 5G communication module; the background diagnosis system is connected with the database through a lead; the invention is applied to the transformer substation.
Description
Technical Field
The invention discloses a transformer substation intelligent temperature measurement system based on 5G communication and a temperature measurement method thereof, and belongs to the technical field of transformer substation intelligent temperature measurement systems and temperature measurement methods thereof.
Background
At present, a handheld infrared thermometer is mainly operated manually, needs to be shot by an operator in a handheld mode, and data are imported into a computer and analyzed by the operator or computer software.
The existing automatic temperature measurement system of the transformer substation mostly adopts an infrared thermal imager to observe equipment at a fixed point by being installed at a preset position, or adopts an inspection robot to measure the temperature of equipment along the line by presetting an inspection route. However, the existing automatic temperature measuring system still has the defects of intellectualization, incapability of on-site judgment and the like, and cannot replace manual temperature measurement. Wearable infrared thermometry equipment has been gradually emerging in recent years.
It is known that substation equipment such as transformers, circuit breakers, transformers or capacitor banks are often numerous, regularly arranged and widely spaced. However, the wearable infrared temperature measurement equipment is limited by small equipment size, light weight, limited detection range and precision, cannot measure the temperature of a plurality of detected targets in a large range at high precision, and has the problems that the heating source is inaccurate in positioning, manual checking is needed for multiple times, operation is complex, and workload is large.
The existing wearable infrared temperature measurement equipment or wearable ultraviolet temperature measurement equipment adopts a simple ultraviolet imaging technology or an infrared imaging technology, and the conditions of missed judgment and misjudgment still exist in equipment temperature measurement or discharge detection. The infrared/ultraviolet online monitoring equipment is not combined with the wearable helmet and the glasses in the prior art due to the size of the equipment.
Based on the characteristics of high speed and low delay of 5G communication, the large data volume transmission required by the intelligent temperature measurement augmented reality technology becomes possible. Therefore, the invention provides the wearable temperature measurement system for the intelligent temperature measurement of the transformer substation, which is based on 5G communication and carries out detection by reasonably arranging the ultraviolet imaging device and the double infrared imaging devices.
Disclosure of Invention
In order to overcome the defects in the prior art, the invention aims to solve the technical problems that: the improvement of the hardware structure of the intelligent temperature measuring system of the transformer substation based on 5G communication is provided.
In order to solve the technical problems, the invention adopts the technical scheme that: a transformer substation intelligent temperature measurement system based on 5G communication comprises an intelligent helmet, AR glasses, a background diagnosis system and a database, wherein the intelligent helmet comprises a helmet body, an imaging device, a first processor and a first 5G communication module, the imaging device is arranged on the helmet body, the first processor is arranged in the helmet body, the first processor is connected with the imaging device through a lead, and the first processor is in two-way communication with the background diagnosis system through the first 5G communication module;
the AR glasses comprise a glass frame, a lens display, a camera arranged on the outer side of the glass frame, an optical module, a second processor, a second 5G communication module, a fourth signal processing module, a gesture tracking recognition module and a sound module, wherein the second processor is respectively connected with the lens display, the camera, the optical module, the fourth signal processing module, the gesture tracking recognition module and the sound module through wires, and is in two-way communication with the background diagnosis system through the second 5G communication module;
the background diagnosis system is connected with the database through a lead and sends the diagnosis result to the database for storage.
The imaging device comprises a first infrared imaging device for wide-area detection of a heating point, a second infrared imaging device for accurate measurement of the position of the heating point, and an ultraviolet imaging device for discharge detection of the heating point and judgment of discharge faults, wherein the first infrared imaging device is fixedly arranged at the upper end of the helmet body through a first holder, the second infrared imaging device is fixedly arranged at one side of the helmet body through a second holder, and the ultraviolet imaging device is fixedly arranged at the other side of the helmet body through a third holder;
the first infrared imaging device comprises a first optical acquisition module, a first infrared detector module and a first signal processing module, wherein the first optical acquisition module, the first infrared detector module and the first signal processing module are respectively connected with a first processor through leads; the second infrared imaging device comprises a second optical acquisition module, a second infrared detector module and a second signal processing module, and the second optical acquisition module, the second infrared detector module and the second signal processing module are respectively connected with the first processor through leads; the ultraviolet imaging device comprises a third optical acquisition module, an ultraviolet and visible light double-channel detector module and a third signal processing module, and the third optical acquisition module, the ultraviolet and visible light double-channel detector module and the third signal processing module are respectively connected with the first processor through wires.
The first infrared imaging device is specifically set to be a short-focus lens for realizing wide-angle and large-range scanning detection, and the second infrared imaging device is specifically set to be a long-focus lens for accurately measuring suspected heating points.
The third optical collection module comprises a lens and a spectroscope which separates light entering the third optical collection module into visible light and ultraviolet light.
First cloud platform, second cloud platform, third cloud platform all set up to electronic cloud platform, link to each other with first treater through the wire respectively.
A transformer substation intelligent temperature measurement method based on 5G communication comprises the following steps:
s1: aligning a first optical acquisition module of a first infrared imaging device to a detection area, enabling light radiated from the surface of electrical equipment in the detection area to enter a first infrared detector module through the first optical acquisition module, converting infrared light of a specific waveband into an electric signal by the first infrared detector module, processing the electric signal by a first signal processing module, and transmitting the electric signal to a background diagnosis system in real time through a first 5G communication module;
s2: the background diagnosis system analyzes and continuously detects the picture transmitted by the first infrared imaging device, when the temperature of a certain position of the picture is detected to reach a threshold value, the background diagnosis system sends a real-time picture and a signal to a second 5G communication module of the AR glasses, a lens display of the AR glasses displays the real-time picture, a heating point on the picture is framed and the temperature is marked, and a sound module sends out a first prompt sound;
s3: the background diagnosis system sends an instruction to a first processor of the intelligent helmet, the first processor controls a second infrared imaging device to automatically and quickly focus and image the heating point, light emitted by the heating point enters a second infrared detector module through a second optical acquisition module, the second infrared detector module converts infrared light of a specific waveband into an electric signal, and the electric signal is processed by a second signal processing module and then transmitted to the background diagnosis system in real time through a first 5G communication module;
s4: the background diagnosis system analyzes and detects and analyzes the picture transmitted by the second infrared imaging device, when the measured temperature of the second infrared imaging device to the heating point is detected to still reach a threshold value, the background diagnosis system sends a signal to the AR glasses, the second 5G communication module receives the signal, the second processor starts the camera to shoot a visible light photo at the position of the heating point, the heating point is marked on the photo, the marked photo is transmitted back to the background diagnosis system through the second 5G communication module, and the sound module sends out a second prompt sound;
s5: the background diagnosis system sends an instruction to a first processor of the intelligent helmet, the first processor controls an ultraviolet imaging device to automatically and quickly focus and image the heating point, light enters a third optical acquisition module and is separated into visible light and ultraviolet light, the visible light and the ultraviolet light are respectively converted into electric signals through an ultraviolet-visible light double-channel detector module, the visible light and the ultraviolet light are synthesized by a third signal processing module, the synthesized electric signals are transmitted to AR glasses from a first 5G communication module to a second 5G communication module, the electric signals are converted into synthesized pictures by a fourth signal processing module, an operator sees real-time images synthesized by the visible light and the ultraviolet light on a lens display, the operator sends the instruction through gestures, the AR glasses recognize the gesture instruction and send the instruction to the first 5G communication module through the second 5G communication module, the ultraviolet imaging device photographs the heating point and short videos under the control of the instruction;
the shot pictures and the short videos are transmitted to a background diagnosis system in real time through a first 5G communication module, the background diagnosis system analyzes the pictures and the short video pictures transmitted by the ultraviolet imaging device, judges whether the point has discharge and discharge fault types or not, sends a conclusion to the AR glasses, and the sound module sends out a third prompt sound;
s6: an operator scans the nameplate identification of the abnormal equipment through a camera on the AR glasses, the name, the number and the names of all parts of the equipment are displayed on a lens display 22 of the AR glasses, and the operator uses gestures to select the names of the heating parts;
s7: the background diagnosis system generates a diagnosis report, wherein the content of the diagnosis report comprises the equipment name, the detection time, the position, the voltage level, the name of the heating part, whether the discharge is generated, the discharge type, an infrared image, a visible light photo, an ultraviolet visible light synthetic photo and a short video;
s8: the background diagnostic system sends the diagnostic report generated in step S7 to the database for archiving.
In step S2, when the detected temperature reaches the threshold, the first infrared imaging device continues to detect the remaining detection area.
And in the steps S2 and S3, when the background diagnosis system detects that the temperatures of a plurality of positions of the picture transmitted by the first infrared imaging device reach the threshold value, the second infrared imaging device sequentially performs focusing imaging on the plurality of heating points.
In step S4, when the temperature measured by the second infrared imaging device for the heat generating point does not reach the threshold, the second infrared imaging device stops detecting, and the first infrared imaging device continues detecting the remaining detection areas.
Compared with the prior art, the invention has the beneficial effects that: according to the invention, the first infrared imaging device is adopted to carry out wide-area detection and screening of the heating point, the second infrared imaging device accurately positions the heating point and carries out more accurate temperature measurement, and the ultraviolet imaging device carries out discharge detection on the heating point and judges a discharge fault. Different from the prior art, the invention creatively adopts the double infrared imaging devices combined with the ultraviolet imaging device and matched with the AR glasses, can have more accurate temperature measurement value, enables operators to observe the detection result in real time, can diagnose the discharge fault in real time and automatically generate a diagnosis report.
Drawings
The invention is further described below with reference to the accompanying drawings:
FIG. 1 is a schematic diagram of the system of the present invention;
FIG. 2 is a schematic structural diagram of a smart helmet of the present invention;
fig. 3 is a schematic structural view of the AR glasses of the present invention.
In the figure: 1 is an intelligent helmet, 2 is AR glasses, 3 is a background diagnosis system, 4 is a database, 11 is a helmet body, 12 is an imaging device, 21 is a mirror frame, 22 is a lens display, 121 is a first infrared imaging device, 122 is a second infrared imaging device, and 123 is an ultraviolet imaging device.
Detailed Description
As shown in fig. 1 to 3, the transformer substation intelligent temperature measurement system based on 5G communication of the present invention includes an intelligent helmet 1, AR glasses 2, a background diagnosis system 3, and a database 4, where the intelligent helmet 1 includes a helmet body 11, an imaging device 12, a first processor, and a first 5G communication module, the imaging device 12 is disposed on the helmet body 11, the first processor is disposed in the helmet body 11, the first processor is connected to the imaging device 12 through a wire, and the first processor is in bidirectional communication with the background diagnosis system 3 through the first 5G communication module;
the AR glasses 2 comprise a glass frame 21, a lens display 22, a camera arranged on the outer side of the glass frame 21, an optical module, a second processor, a second 5G communication module, a fourth signal processing module, a gesture tracking recognition module and a sound module, wherein the second processor is respectively connected with the lens display 22, the camera, the optical module, the fourth signal processing module, the gesture tracking recognition module and the sound module through wires, and is in two-way communication with the background diagnosis system 3 through the second 5G communication module;
the background diagnosis system 3 is connected with the database 4 through a lead, and sends the diagnosis result to the database 4 for storage.
The imaging device 12 comprises a first infrared imaging device 121 for wide-area detection of a heating point, a second infrared imaging device 122 for accurate measurement of the position of the heating point, and an ultraviolet imaging device 123 for discharge detection of the heating point and judgment of a discharge fault, wherein the first infrared imaging device 121 is fixedly installed at the upper end of the helmet body 11 through a first cradle head, the second infrared imaging device 122 is fixedly installed at one side of the helmet body 11 through a second cradle head, and the ultraviolet imaging device 123 is fixedly installed at the other side of the helmet body 11 through a third cradle head;
the first infrared imaging device 121 comprises a first optical acquisition module, a first infrared detector module and a first signal processing module, wherein the first optical acquisition module, the first infrared detector module and the first signal processing module are respectively connected with a first processor through leads; the second infrared imaging device 122 comprises a second optical acquisition module, a second infrared detector module and a second signal processing module, and the second optical acquisition module, the second infrared detector module and the second signal processing module are respectively connected with the first processor through leads; ultraviolet imaging device 123 includes third optics collection module, ultraviolet visible light binary channels detector module, third signal processing module, third optics collection module, ultraviolet visible light binary channels detector module, third signal processing module link to each other with first treater through the wire respectively.
The first infrared imaging device 121 is specifically set as a short-focus lens for realizing wide-angle and wide-range scanning detection, and the second infrared imaging device 122 is specifically set as a long-focus lens for accurately measuring a suspected heating point.
The third optical collection module comprises a lens and a spectroscope which separates light entering the third optical collection module into visible light and ultraviolet light.
First cloud platform, second cloud platform, third cloud platform all set up to electronic cloud platform, link to each other with first treater through the wire respectively.
The first infrared imaging device 121 includes a short-focus lens; the second infrared imaging device 122 includes a telephoto lens; the short-focus lens is convenient for wide-angle and large-range scanning detection, and the long-focus lens is convenient for accurate measurement of suspected heating points.
The first infrared imaging device 121 is mounted on the first cradle head, and the second infrared imaging device 122 is mounted on the second cradle head; the ultraviolet imaging device 123 is mounted on the third cradle head, and the first cradle head, the second cradle head and the third cradle head are all mounted on the helmet body 11; the first holder, the second holder and the third holder are all electric holders.
The background diagnosis system 3 comprises a 5G communication module, is different from 3G/4G communication, and communicates through a 5G wireless network, so that high definition and low delay of signals and pictures can be ensured, and real-time signal transmission among the intelligent helmet 1, the AR glasses 2 and the background diagnosis system 3 is realized.
The first infrared imaging device 121 is located at the upper end of the helmet body 11, and the second infrared imaging device 122 and the ultraviolet imaging device 123 are located at two sides of the helmet body. The first infrared imaging device 121 has the widest view field, which facilitates wide-angle and wide-range scanning detection.
The third optical acquisition module comprises a lens and a spectroscope and can receive and separate visible light and ultraviolet light.
The AR glasses 2 include a voice recognition module, and the operator can also operate by voice in addition to gesture recognition.
On one hand, when a certain part outside the power equipment has a fault, an operator can visually monitor the fault part from the field of view of the infrared imaging technology and observe the approximate fault part, but the infrared thermal image has certain ambiguity, so that the specific fault part cannot be judged from single infrared imaging. Therefore, in order to improve the above disadvantages, the present invention employs dual infrared imaging devices, and the second infrared imaging device 122 accurately locates the heating point and performs more accurate temperature measurement on the basis of the first infrared imaging device 121 performing wide-area detection and screening the heating point.
On the other hand, for internal faults of the power equipment caused by partial discharge, deterioration of insulating materials, damp of insulating oil and the like, the change of the temperature of the equipment reflects the change of the overall electrical performance and the insulating characteristic, the temperature distribution of an insulating medium in the power equipment is measured by the infrared thermal imaging technology, and the specific position of the fault of the power equipment cannot be accurately reflected by a pure infrared thermal imaging spectrum. Meanwhile, since heat generation may be caused by various faults, whether discharge occurs is an important standard for judging the severity of the fault, however, the infrared imaging technology can only measure temperature changes, and cannot detect whether discharge occurs in the power equipment. Based on this, in order to improve the above-mentioned deficiency, the present invention adopts that after the double infrared imaging device screens and locates the heating fault point, the ultraviolet imaging device 123 detects the ultraviolet ray generated by corona discharge or surface partial discharge outside the visible light range of the fault point, so as to judge whether the power equipment has a discharge fault, and evaluate the severity of the discharge fault, such as corona, flashover or arc.
The ultraviolet imaging device 123 of the invention adopts a solar blind technology, realizes the detection of the equipment discharge by utilizing the solar blind area spectral band, can effectively adapt to the strong sunlight environment, comprises a third optical acquisition module, a third signal processing module and a third signal processing module, wherein the third optical acquisition module comprises a visible light/ultraviolet integrated lens and is matched with an ultraviolet and visible light dual-channel detector module, and can simultaneously acquire and process a visible light image and an ultraviolet spectrum, including a photo and a short video, and the third signal processing module carries out synthesis processing on the visible light/ultraviolet integrated lens, displays the equipment discharge state and the numerical value of ultraviolet photons in a certain area in real time, and carries out. Due to the particularity of the discharge phenomenon, the comprehensive judgment needs to be carried out by combining the picture and the short video, so that the discharge picture needs to be manually captured and the start and the end of the short video shooting need to be controlled.
The invention also provides a method for measuring temperature by using the intelligent temperature measuring system of the transformer substation based on 5G communication, which comprises the following steps:
s1, aligning a first optical acquisition module of the first infrared imaging device 121 to a detection area, enabling light radiated from the surface of electrical equipment in the detection area to enter a first infrared detector module through the first optical acquisition module, converting infrared light of a specific waveband into an electric signal by the first infrared detector module, processing the electric signal by a first signal processing module, and transmitting the electric signal to the background diagnosis system 3 through a first 5G communication module in real time;
s2, the background diagnosis system 3 analyzes and continuously detects the picture transmitted by the first infrared imaging device 121, when the temperature of a certain position of the picture is detected to reach a threshold value, the background diagnosis system 3 sends a real-time picture and a signal to the second 5G communication module of the AR glasses 2, the lens display 22 of the AR glasses 2 displays the real-time picture, a heating point on the picture is framed and the temperature is marked, and the sound module sends out a first prompt sound;
s3, the background diagnosis system 3 sends an instruction to a first processor of the intelligent helmet 1, the first processor controls a second infrared imaging device 122 to automatically and quickly focus and image the heating point, light emitted by the heating point enters a second infrared detector module through a second optical acquisition module, the second infrared detector module converts infrared light of a specific wave band into an electric signal, and the electric signal is processed by a second signal processing module and then is transmitted to the background diagnosis system 3 through a first 5G communication module in real time;
s4, the background diagnosis system 3 analyzes and detects and analyzes the picture transmitted by the second infrared imaging device 122, when the measured temperature of the second infrared imaging device 122 to the heating point is detected to still reach a threshold value, the background diagnosis system sends a signal to the AR glasses 2, the second 5G communication module receives the signal, the second processor starts the camera to shoot a visible light photo at the position of the heating point, the heating point is marked on the photo, the marked photo is transmitted back to the background diagnosis system 3 through the second 5G communication module, and the sound module sends out a second prompt sound;
s5, the background diagnosis system 3 sends an instruction to a first processor of the intelligent helmet 1, the first processor controls the ultraviolet imaging device 123 to automatically and quickly focus and image the heating point, the light enters a third optical acquisition module and is separated into visible light and ultraviolet light, the visible light and the ultraviolet light are respectively converted into electric signals through an ultraviolet-visible light double-channel detector module, the visible light and the ultraviolet light are respectively converted into the electric signals through a third signal processing module, the electric signals after synthesis are synthesized by the third signal processing module, the synthesized electric signals are transmitted to the AR glasses 2 from a first 5G communication module to a second 5G communication module, the electric signals are converted into synthesized pictures by a fourth signal processing module, an operator sees real-time images synthesized by the visible light and the ultraviolet light on the lens display 22, the operator sends the instruction through gestures, the AR glasses 2 recognizes the gesture instruction and sends the gesture instruction to the first 5G communication module from the second 5G communication module, the ultraviolet imaging device 123 photographs the heating point and takes a short video under the control of the instruction;
the shot picture and the short video are transmitted to the background diagnosis system 3 in real time through the first 5G communication module, the background diagnosis system 3 analyzes the picture and the short video picture transmitted by the ultraviolet imaging device 123, judges whether the point has a discharge and discharge fault type or not, sends a conclusion to the AR glasses 2, and the sound module sends out a third prompt sound;
s6, an operator scans the nameplate mark of the abnormal equipment by using the camera on the AR glasses 2, the name, the number and the name of each part of the equipment are displayed on the lens display 22 of the AR glasses 2, and the operator uses gestures to select the name of the heating part;
s7, the background diagnosis system 3 generates a diagnosis report, the content of which comprises the equipment name, the detection time, the position, the voltage level, the name of the heating part, whether to discharge, the discharge type, the infrared image, the visible light photo, the ultraviolet visible light synthetic photo and the short video;
s8: the background diagnostic system 3 sends the diagnostic report to the database 4 for archiving.
In step S2, if the temperature reaches the threshold value, the first infrared imaging device 121 continues to detect the remaining detection areas.
In step S4, if the temperature measured by the second infrared imaging device 122 for the heat generation point does not reach the threshold value, the second infrared imaging device 122 stops detecting, and the first infrared imaging device 121 continues detecting the remaining detection areas.
In steps S2 and S3, when the back-end diagnostic system 3 detects that the temperatures of a plurality of places on the screen transmitted by the first infrared imaging device 121 reach the threshold value, the second infrared imaging device 122 sequentially performs focus imaging on the plurality of heat generating points.
Nameplate identification on the device includes, but is not limited to, two-dimensional code, bar code, RFIP.
It should be noted that, regarding the specific structure of the present invention, the connection relationship between the modules adopted in the present invention is determined and can be realized, except for the specific description in the embodiment, the specific connection relationship can bring the corresponding technical effect, and the technical problem proposed by the present invention is solved on the premise of not depending on the execution of the corresponding software program.
Finally, it should be noted that: the above embodiments are only used to illustrate the technical solution of the present invention, and not to limit the same; while the invention has been described in detail and with reference to the foregoing embodiments, it will be understood by those skilled in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some or all of the technical features may be equivalently replaced; and the modifications or the substitutions do not make the essence of the corresponding technical solutions depart from the scope of the technical solutions of the embodiments of the present invention.
Claims (9)
1. The utility model provides a transformer substation intelligence temperature measurement system based on 5G communication, includes intelligent helmet (1), AR glasses (2), backstage diagnostic system (3), database (4), its characterized in that: the intelligent helmet (1) comprises a helmet body (11), an imaging device (12), a first processor and a first 5G communication module, wherein the imaging device (12) is arranged on the helmet body (11), the first processor is arranged in the helmet body (11), the first processor is connected with the imaging device (12) through a wire, and the first processor is in two-way communication with the background diagnosis system (3) through the first 5G communication module;
the AR glasses (2) comprise a glasses frame (21), a glasses lens display (22), a camera, an optical module, a second processor, a second 5G communication module, a fourth signal processing module, a gesture tracking recognition module and a sound module, wherein the camera, the optical module, the fourth signal processing module, the gesture tracking recognition module and the sound module are arranged on the outer side of the glasses frame (21), the second processor is respectively connected with the glasses lens display (22), the camera, the optical module, the fourth signal processing module, the gesture tracking recognition module and the sound module through wires, and the second processor is in two-way communication with the background diagnosis system (3) through the second 5G communication module;
the background diagnosis system (3) is connected with the database (4) through a lead, and sends the diagnosis result to the database (4) for storage.
2. The intelligent temperature measurement system of transformer substation based on 5G communication of claim 1, characterized in that: the imaging device (12) comprises a first infrared imaging device (121) for wide-area detection of a heating point, a second infrared imaging device (122) for accurate measurement of the position of the heating point, and an ultraviolet imaging device (123) for discharge detection of the heating point and judgment of a discharge fault, wherein the first infrared imaging device (121) is fixedly mounted at the upper end of the helmet body (11) through a first cradle head, the second infrared imaging device (122) is fixedly mounted at one side of the helmet body (11) through a second cradle head, and the ultraviolet imaging device (123) is fixedly mounted at the other side of the helmet body (11) through a third cradle head;
the first infrared imaging device (121) comprises a first optical acquisition module, a first infrared detector module and a first signal processing module, wherein the first optical acquisition module, the first infrared detector module and the first signal processing module are respectively connected with a first processor through leads; the second infrared imaging device (122) comprises a second optical acquisition module, a second infrared detector module and a second signal processing module, and the second optical acquisition module, the second infrared detector module and the second signal processing module are respectively connected with the first processor through leads; the ultraviolet imaging device (123) comprises a third optical acquisition module, an ultraviolet and visible light double-channel detector module and a third signal processing module, and the third optical acquisition module, the ultraviolet and visible light double-channel detector module and the third signal processing module are respectively connected with the first processor through wires.
3. The intelligent temperature measurement system of transformer substation based on 5G communication of claim 2, characterized in that: the first infrared imaging device (121) is specifically set to be a short-focus lens for realizing wide-angle and large-range scanning detection, and the second infrared imaging device (122) is specifically set to be a long-focus lens for accurately measuring a suspected heating point.
4. The intelligent temperature measurement system of transformer substation based on 5G communication of claim 3, characterized in that: the third optical collection module comprises a lens and a spectroscope which separates light entering the third optical collection module into visible light and ultraviolet light.
5. The intelligent temperature measurement system of transformer substation based on 5G communication of claim 4, characterized in that: first cloud platform, second cloud platform, third cloud platform all set up to electronic cloud platform, link to each other with first treater through the wire respectively.
6. A transformer substation intelligent temperature measurement method based on 5G communication is characterized in that: the method comprises the following steps:
s1: aligning a first optical acquisition module of a first infrared imaging device (121) to a detection area, enabling light radiated from the surface of electrical equipment in the detection area to enter a first infrared detector module through the first optical acquisition module, converting infrared light of a specific waveband into an electric signal by the first infrared detector module, processing the electric signal by a first signal processing module, and transmitting the electric signal to a background diagnosis system (3) through a first 5G communication module in real time;
s2: the background diagnosis system (3) analyzes and continuously detects the picture transmitted by the first infrared imaging device (121), when the temperature of a certain position of the picture is detected to reach a threshold value, the background diagnosis system (3) sends a real-time picture and a signal to the second 5G communication module of the AR glasses (2), a lens display (22) of the AR glasses (2) displays the real-time picture, a heating point on the picture is framed and the temperature is marked, and a sound module sends out a first prompt sound;
s3: the background diagnosis system (3) sends an instruction to a first processor of the intelligent helmet (1), the first processor controls a second infrared imaging device (122) to automatically and quickly focus and image the heating point, light emitted by the heating point enters a second infrared detector module through a second optical acquisition module, the second infrared detector module converts infrared light of a specific waveband into an electric signal, and the electric signal is processed by a second signal processing module and then is transmitted to the background diagnosis system (3) through a first 5G communication module in real time;
s4: the background diagnosis system (3) analyzes and detects and analyzes the picture transmitted by the second infrared imaging device (122), when the measured temperature of the second infrared imaging device (122) to the heating point is detected to still reach a threshold value, the background diagnosis system (3) sends a signal to the AR glasses (2), the second 5G communication module receives the signal, the second processor starts the camera to shoot a visible light photo at the position of the heating point, the heating point is marked on the photo, the marked photo is transmitted back to the background diagnosis system (3) through the second 5G communication module, and the sound module sends out a second prompt sound;
s5: the background diagnosis system (3) sends an instruction to a first processor of the intelligent helmet (1), the first processor controls an ultraviolet imaging device (123) to automatically and quickly focus and image the heating point, light enters a third optical acquisition module and is separated into visible light and ultraviolet light, the visible light and the ultraviolet light are respectively converted into electric signals through an ultraviolet-visible light double-channel detector module, the visible light and the ultraviolet light are respectively converted into the electric signals through a third signal processing module, the electric signals after synthesis are transmitted to AR glasses (2) from a first 5G communication module to a second 5G communication module, the electric signals are converted into synthesis pictures through a fourth signal processing module, an operator sees real-time images synthesized by the visible light and the ultraviolet light on a lens display (22), the operator sends the instruction through gestures, the AR glasses (2) recognize the gesture instruction and send the instruction to the first 5G communication module from the second 5G communication module, the ultraviolet imaging device (123) photographs the heating point and short videos under the control of the instruction;
the shot pictures and short videos are transmitted to the background diagnosis system (3) in real time through the first 5G communication module, the background diagnosis system (3) analyzes the pictures and short video pictures transmitted by the ultraviolet imaging device (123), whether the discharge and discharge fault types exist at the point is judged, the conclusion is sent to the AR glasses (2), and the sound module sends out a third prompt sound;
s6: an operator scans the nameplate identification of the abnormal equipment through a camera on the AR glasses (2), the name, the number and the names of all parts of the equipment are displayed on a lens display (22) of the AR glasses (2), and the operator uses gestures to select the names of the heating parts;
s7: the background diagnosis system (3) generates a diagnosis report, wherein the content of the diagnosis report comprises the equipment name, the detection time, the position, the voltage level, the name of the heating part, whether to discharge, the discharge type, an infrared image, a visible light photo, an ultraviolet visible light synthetic photo and a short video;
s8: the background diagnosis system (3) transmits the diagnosis report generated in step S7 to the database (4) for archiving.
7. The intelligent substation temperature measurement method based on 5G communication according to claim 6, characterized in that: when the detected temperature reaches the threshold value in the step S2, the first infrared imaging device (121) continues to detect the rest of the detection area.
8. The intelligent substation temperature measurement method based on 5G communication according to claim 7, characterized in that: when the background diagnosis system (3) detects that the temperatures of a plurality of positions of the picture transmitted by the first infrared imaging device (121) reach the threshold value in the steps S2 and S3, the second infrared imaging device (122) sequentially carries out focusing imaging on the plurality of heating points.
9. The intelligent substation temperature measurement method based on 5G communication according to claim 8, characterized in that: in the step S4, when the temperature measured by the second infrared imaging device (122) for the heat generating point does not reach the threshold value, the second infrared imaging device (122) stops detecting, and the first infrared imaging device (121) continues detecting the remaining detection area.
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| CN112858855A (en) * | 2021-02-23 | 2021-05-28 | 海南电网有限责任公司定安供电局 | Multispectral abnormal temperature partial discharge fault comprehensive testing device |
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