CN114993243A - Antenna attitude monitoring and early warning system based on Internet of things - Google Patents
Antenna attitude monitoring and early warning system based on Internet of things Download PDFInfo
- Publication number
- CN114993243A CN114993243A CN202210933470.8A CN202210933470A CN114993243A CN 114993243 A CN114993243 A CN 114993243A CN 202210933470 A CN202210933470 A CN 202210933470A CN 114993243 A CN114993243 A CN 114993243A
- Authority
- CN
- China
- Prior art keywords
- module
- light
- antenna
- attitude
- early warning
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
Images
Classifications
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01C—MEASURING DISTANCES, LEVELS OR BEARINGS; SURVEYING; NAVIGATION; GYROSCOPIC INSTRUMENTS; PHOTOGRAMMETRY OR VIDEOGRAMMETRY
- G01C1/00—Measuring angles
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V10/00—Arrangements for image or video recognition or understanding
- G06V10/40—Extraction of image or video features
- G06V10/56—Extraction of image or video features relating to colour
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V10/00—Arrangements for image or video recognition or understanding
- G06V10/70—Arrangements for image or video recognition or understanding using pattern recognition or machine learning
- G06V10/764—Arrangements for image or video recognition or understanding using pattern recognition or machine learning using classification, e.g. of video objects
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04B—TRANSMISSION
- H04B17/00—Monitoring; Testing
- H04B17/10—Monitoring; Testing of transmitters
- H04B17/101—Monitoring; Testing of transmitters for measurement of specific parameters of the transmitter or components thereof
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04B—TRANSMISSION
- H04B17/00—Monitoring; Testing
- H04B17/20—Monitoring; Testing of receivers
-
- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02B—CLIMATE CHANGE MITIGATION TECHNOLOGIES RELATED TO BUILDINGS, e.g. HOUSING, HOUSE APPLIANCES OR RELATED END-USER APPLICATIONS
- Y02B20/00—Energy efficient lighting technologies, e.g. halogen lamps or gas discharge lamps
- Y02B20/40—Control techniques providing energy savings, e.g. smart controller or presence detection
Abstract
The invention relates to the technical field of antenna attitude early warning, and discloses an antenna attitude monitoring and early warning system based on the Internet of things, which comprises: the light-emitting patch module is fixedly arranged on a movable node of the target antenna; the image acquisition module is used for acquiring a field attitude picture of the target antenna in a preset time period; the scene posture picture comprises a light-emitting patch module; the identification module is used for outputting a state classification result corresponding to the target antenna according to the field posture picture; the Internet of things module is used for classifying the states of the identification modules and sending the state classification results to the handheld terminal equipment; the accessible sets up luminous paster module at the activity node of target antenna to can strengthen the visual effect of target antenna in on-the-spot gesture picture, the recognition module who so is favorable to through the training catches its gesture characteristic, then can promote the accuracy of monitoring the early warning to the antenna gesture.
Description
Technical Field
The invention relates to the technical field of antenna attitude early warning, in particular to an antenna attitude monitoring and early warning system based on the Internet of things.
Background
The engineering parameters (antenna attitude) of the base station antenna mainly include a hanging height, a pitching angle, an azimuth angle, a roll angle, a position longitude and a position latitude, and the like, and in the antenna erection of outdoor communication, the antenna attitude has very important influence on the coverage range of signals and can further influence the quality of network communication, so that the measurement of the antenna attitude is very important.
Currently, the antenna attitude is generally measured by the following method: each antenna is additionally provided with a measuring device, wherein the measuring device mainly comprises a sensor, a bracket and a wireless communication module, and the bracket is used for fixedly connecting the antenna and the sensor together; the antenna attitude information is measured through the sensor, and the antenna attitude information measured by the sensor is transmitted to equipment needing to acquire the antenna attitude information through the wireless communication module, so that the attitude of the antenna is monitored.
However, the method for calculating the attitude angle of the antenna has continuous drift errors, and the high-precision differential GPS has high price, so that the scheme has high overall design cost, cannot be applied in the environment without GPS signals, is inconvenient to use and is difficult to ensure continuous precision.
Disclosure of Invention
The invention aims to provide an antenna attitude monitoring and early warning system based on the Internet of things, which solves the following technical problems:
to provide an antenna attitude warning system which can be provided at low cost but with high efficiency and high accuracy.
The purpose of the invention can be realized by the following technical scheme:
an antenna attitude monitoring and early warning system based on the Internet of things comprises:
the light-emitting patch module is fixedly arranged on a movable node of the target antenna;
the image acquisition module is used for acquiring a field attitude picture of the target antenna in a preset time period; the scene posture picture comprises the luminous patch module;
the recognition module is used for outputting a state classification result corresponding to the target antenna according to the field posture picture;
the Internet of things module is used for sending the state classification result of the identification module to the handheld terminal equipment;
wherein, the recognition module is the neural network model through training, handheld terminal equipment is used for reminding the staff, state classification result includes that the gesture is normal and the gesture is abnormal.
Through above-mentioned technical scheme, the accessible sets up luminous paster module at the activity node of target antenna to can strengthen the visual effect of target antenna in on-the-spot gesture picture, so be favorable to catching its gesture feature through the identification module of training, then can promote the accuracy of monitoring the early warning to the antenna gesture.
As a further scheme of the invention: the light emitting patch module further includes:
the fixed unit is detachably fixed on the movable node of the target antenna;
the active light-emitting unit is connected with the fixing unit and used for emitting light to the outside;
and the power supply is connected with the fixing unit and the active light-emitting unit.
Through above-mentioned technical scheme, fixed unit can adopt the sticker, and power supply can adopt solar energy power generation power, so on the one hand, can make things convenient for the staff to carry out the position fine setting to luminous paster module, and on the other hand, usable solar energy power generation power guarantees initiative luminescence unit's operational reliability, and is energy-concerving and environment-protective.
As a further scheme of the invention: the light-emitting patch module comprises a light-reflecting unit;
and the light reflecting unit is connected with the fixing unit and used for reflecting external light.
Through above-mentioned technical scheme, reflection of light unit can play a role in the daytime, can practice thrift initiative luminescence unit's power consumption in the daytime, also can launch external light night, promotes sign luminance.
As a further scheme of the invention: the image acquisition module comprises a general shooting unit and an ambient light detection module; the ambient light detection module is used for acquiring ambient light intensity;
when the ambient light intensity is lower than a preset light intensity threshold value, the active light-emitting unit improves the light-emitting intensity, and meanwhile, the general shooting unit improves the sampling frequency.
Through the technical scheme, when the ambient light detection module acquires that the ambient light intensity is lower, the active light emitting unit can be driven to improve the luminous brightness, when the sampling frequency of the general shooting unit is improved, the situation that more field attitude pictures can be acquired in the same preset time period is realized, one picture can be randomly selected from the field attitude pictures and sent to the recognition module, and therefore the accuracy and the reliability of attitude early warning can be integrally improved.
As a further scheme of the invention: the light-emitting patch module further comprises a driving module, and the driving module is used for driving the light reflecting unit to change the light reflecting angle under the preset condition.
Through above-mentioned technical scheme, because target antenna probably adopts the all metal to make, under actual environment, smooth metal surface gloss under the sunlight can exert an influence to identification module's discernment precision, when consequently reflection of light unit changes the reflection of light angle, can make and produce weak difference in the different scene gesture pictures of nevertheless shooting at adjacent moment, so be favorable to promoting the interference killing feature through the identification module of training, then can guarantee gesture early warning's accurate degree to a certain extent.
As a further scheme of the invention: if at least 2 field posture pictures are obtained in the preset time period, taking one result with the highest probability ratio in all the obtained state classification results as a final state classification result; and if one item with the highest probability ratio cannot be obtained, re-obtaining odd number of the field posture pictures.
Through the technical scheme, although the trained recognition module can have considerable recognition and classification accuracy, the judgment of the recognition module can still be influenced by the interference of various ambient light and image signals, so that at least 2 field posture pictures can be obtained in a preset time period, and the field posture pictures are uniformly sent to the recognition module to obtain a corresponding number of state classification results; for example, the sampling frequency of the image acquisition module can be set, 5 scene attitude pictures can be acquired within 1 second, so that 5 state classification results can be obtained, and if 1 of the state classification results is normal in attitude and 4 of the state classification results are abnormal in attitude; if 6 field posture pictures are collected within 1 second, wherein 3 of the 6 field posture pictures are normal in posture, 3 of the 6 field posture pictures are abnormal, and the item with the highest probability ratio cannot be obtained at the moment, odd field posture pictures can be obtained again, and the recognition module continues to judge again.
As a further scheme of the invention: the preset conditions are as follows: the one with the highest probability ratio is not obtained.
Through the technical scheme, when the item with the highest probability ratio cannot be obtained, the recognition module can be considered to be ambiguous when the judgment result given by the recognition module is given, the confidence coefficient is poor, the posture expression strength of the target antenna in the field posture picture is improved, so that the sampling frequency can be improved, more field posture pictures are obtained, the posture expression strength of the target antenna in the field posture picture can also be improved by changing the reflection angle of the reflection unit, and the recognition accuracy of the recognition module is improved from the side.
As a further scheme of the invention: the light emitting color of the active light emitting unit is variable, the light emitting color combination of the active light emitting units arranged on the same target antenna is a preset identification combination, and the identification module distinguishes the target antenna according to the preset identification combination in the field posture picture;
the preset identification combinations are at least three groups, and when the state classification result is that the posture is abnormal, the preset identification combinations are switched.
According to the technical scheme, when one field posture picture comprises a plurality of target antennas, the judgment result needs to be matched with the target antennas; in the invention, each target antenna can be preset with a preset identification combination; for example, for a target antenna a at a certain position in a scene attitude picture, assuming that the target antenna has 4 active nodes to be provided with light-emitting patch modules, and the preset identification combination is set to 3 groups, one group may be red, yellow, blue, and green from top to bottom, two groups may be yellow, red, blue, and green from top to bottom, and three groups may be yellow, red, green, and blue from top to bottom, and the corresponding color is emitted by the active light-emitting unit at the corresponding position. Similarly, if another target antenna B also has 4 active nodes to be provided with the light-emitting patch module, and the preset identification combination thereof is set to 3 groups, one group may be purple, yellow, blue, and green from top to bottom, two groups may be yellow, purple, blue, and green from top to bottom, and three groups may be yellow, red, purple, and blue from top to bottom, and if the identification module receives the preset identification combination including yellow, red, purple, and blue, the identification module may identify the target antenna as the target antenna B accordingly; correspondingly, the recognition module can also perform state classification according to the field attitude picture at the same time, output a state classification result corresponding to the target antenna B, if the obtained final state classification result is abnormal in attitude or the final state classification result cannot be obtained, the light-emitting patch module on the target antenna B can switch the preset recognition combination to yellow, purple, blue and green, and at the moment, the newly obtained field attitude picture is sent to the recognition module for judgment and recognition, so that the recognition accuracy and reliability of the invention can be ensured.
The invention has the beneficial effects that:
(1) the luminous patch module is arranged at the movable node of the target antenna, so that the visual effect of the target antenna in a field posture picture can be enhanced, the trained recognition module can capture the posture characteristics of the target antenna, and the accuracy of monitoring and early warning of the posture of the antenna can be improved;
(2) the fixing unit can adopt an adhesive sheet, and the power supply can adopt a solar power generation power supply, so that on one hand, the position fine adjustment of the light-emitting patch module can be facilitated for workers, and on the other hand, the working reliability of the active light-emitting unit can be ensured by using the solar power generation power supply, and the solar light-emitting patch module is energy-saving and environment-friendly; the light reflecting unit can play a role in the daytime, the electricity of the active light emitting unit can be saved in the daytime, external light can be emitted at night, and the brightness of the mark is improved;
(3) when the ambient light detection module obtains lower ambient light intensity, the active light emitting unit can be driven to improve the light emitting brightness, when the sampling frequency is improved by the universal shooting unit, more field attitude pictures can be obtained in the same preset time period, and one image can be randomly selected from the field attitude pictures and sent to the recognition module, so that the accuracy and the reliability of attitude early warning can be integrally improved;
(4) because the target antenna is possibly made of all metals, under a real environment, the gloss of a smooth metal surface under sunlight may affect the recognition accuracy of the recognition module, when the reflection angle of the reflection unit is changed, weak differences can be generated in different but adjacent scene attitude pictures, so that the anti-interference capability of the trained recognition module can be improved, and the accuracy of attitude early warning can be ensured to a certain extent;
(5) although the trained recognition module can have a considerable recognition and classification accuracy, the judgment of the recognition module can still be influenced by the interference of various ambient light and image signals, so that at least 2 field posture pictures can be obtained in a preset time period, and the field posture pictures are uniformly sent to the recognition module to obtain a corresponding number of state classification results; for example, the sampling frequency of the image acquisition module can be set, 5 scene attitude pictures can be acquired within 1 second, so that 5 state classification results can be obtained, and if 1 of the state classification results is normal in attitude and 4 of the state classification results are abnormal in attitude; if 6 field attitude pictures are acquired within 1 second, wherein 3 of the 6 field attitude pictures are normal in attitude, 3 of the 6 field attitude pictures are abnormal, and at the moment, one item with the highest probability ratio cannot be obtained, the odd field attitude pictures can be obtained again, and the identification module continues to judge again;
(6) when one item with the highest probability ratio cannot be obtained, the recognition module can be considered to be ambiguous in the judgment result given by the recognition module at the moment, the confidence coefficient is poor, the posture expression strength of the target antenna in the field posture picture should be improved at the moment, so that the sampling frequency can be improved to obtain more field posture pictures, the posture expression strength of the target antenna in the field posture picture can also be improved by changing the light reflection angle of the light reflection unit at the moment, and the recognition accuracy of the recognition module is improved from the side;
(7) when a field attitude picture contains a plurality of target antennas, matching and corresponding the judgment result with the target antennas are needed; in the invention, each target antenna can be preset with a preset identification combination; for example, for a target antenna a at a certain position in a scene attitude picture, assuming that the target antenna has 4 active nodes to be provided with light-emitting patch modules, and the preset identification combination is set to 3 groups, one group may be red, yellow, blue, and green from top to bottom, two groups may be yellow, red, blue, and green from top to bottom, and three groups may be yellow, red, green, and blue from top to bottom, and the corresponding color is emitted by the active light-emitting unit at the corresponding position. Similarly, if another target antenna B also has 4 active nodes to be provided with the light-emitting patch module, and the preset identification combination thereof is set to 3 groups, one group may be purple, yellow, blue, and green from top to bottom, two groups may be yellow, purple, blue, and green from top to bottom, and three groups may be yellow, red, purple, and blue from top to bottom, and if the identification module receives the preset identification combination including yellow, red, purple, and blue, the identification module may identify the target antenna as the target antenna B accordingly; correspondingly, the recognition module can also perform state classification according to the field attitude picture at the same time, output a state classification result corresponding to the target antenna B, if the obtained final state classification result is abnormal in attitude or the final state classification result cannot be obtained, the light-emitting patch module on the target antenna B can switch the preset recognition combination to be yellow, purple, blue and green, and then send the newly obtained field attitude picture to the recognition module for judgment and recognition, so that the recognition accuracy and reliability of the invention can be ensured.
Drawings
The invention will be further described with reference to the accompanying drawings.
Fig. 1 is a module connection diagram of an antenna attitude monitoring and early warning system according to the present invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
Referring to fig. 1, the present invention is an antenna attitude monitoring and early warning system based on the internet of things, including:
the light-emitting patch module is fixedly arranged on a movable node of the target antenna;
the image acquisition module is used for acquiring a field attitude picture of the target antenna in a preset time period; the scene posture picture comprises the luminous patch module;
the recognition module is used for outputting a state classification result corresponding to the target antenna according to the field posture picture;
the Internet of things module is used for sending the state classification result of the identification module to the handheld terminal equipment;
wherein, the recognition module is the neural network model through training, handheld terminal equipment is used for reminding the staff, state classification result includes that the gesture is normal and the gesture is abnormal.
Through above-mentioned technical scheme, the accessible sets up luminous paster module at the activity node of target antenna to can strengthen the visual effect of target antenna in on-the-spot gesture picture, so be favorable to catching its gesture feature through the identification module of training, then can promote the accuracy of monitoring the early warning to the antenna gesture.
As a further scheme of the invention: the light emitting patch module further includes:
the fixed unit is detachably fixed on the movable node of the target antenna;
the active light-emitting unit is connected with the fixing unit and is used for emitting light to the outside;
and the power supply is connected with the fixing unit and the active light-emitting unit.
Through above-mentioned technical scheme, fixed unit can adopt the sticker, and power supply can adopt solar energy power generation power, so on the one hand, can make things convenient for the staff to carry out the position fine setting to luminous paster module, and on the other hand, usable solar energy power generation power guarantees initiative luminescence unit's operational reliability, and is energy-concerving and environment-protective.
As a further scheme of the invention: the light-emitting patch module comprises a light-reflecting unit;
and the light reflecting unit is connected with the fixing unit and used for reflecting external light.
Through above-mentioned technical scheme, reflection of light unit can play a role in the daytime, can practice thrift initiative luminescence unit's power consumption in the daytime, also can launch external light night, promotes sign luminance.
As a further scheme of the invention: the image acquisition module comprises a general shooting unit and an ambient light detection module; the ambient light detection module is used for acquiring ambient light intensity;
when the ambient light intensity is lower than a preset light intensity threshold value, the active light-emitting unit improves the light-emitting intensity, and meanwhile, the general shooting unit improves the sampling frequency.
Through the technical scheme, when the ambient light detection module acquires that the ambient light intensity is lower, the active light emitting unit can be driven to improve the luminous brightness, when the sampling frequency of the general shooting unit is improved, the situation that more field attitude pictures can be acquired in the same preset time period is realized, one picture can be randomly selected from the field attitude pictures and sent to the recognition module, and therefore the accuracy and the reliability of attitude early warning can be integrally improved.
As a further scheme of the invention: the light-emitting patch module further comprises a driving module, and the driving module is used for driving the light reflecting unit to change the light reflecting angle under the preset condition.
Through above-mentioned technical scheme, because the target antenna probably adopts the all metal to make, under actual environment, smooth metal surface gloss under the sunlight can produce the influence to identification module's discernment precision, when consequently reflection of light unit changes reflection of light angle, can make and produce weak difference in the different but on-the-spot gesture pictures of shooting at adjacent moment, so be favorable to promoting the interference killing feature of identification module through the training, then can guarantee the accurate degree of gesture early warning to a certain extent.
As a further scheme of the invention: if at least 2 field posture pictures are obtained in the preset time period, taking one result with the highest probability ratio in all the obtained state classification results as a final state classification result; and if one item with the highest probability ratio cannot be obtained, re-obtaining odd number of the field posture pictures.
Through the technical scheme, although the trained recognition module can have considerable recognition and classification accuracy, the judgment of the recognition module can still be influenced by the interference of various ambient light and image signals, so that at least 2 field posture pictures can be obtained in a preset time period, and the field posture pictures are uniformly sent to the recognition module to obtain a corresponding number of state classification results; for example, the sampling frequency of the image acquisition module can be set, 5 scene attitude pictures can be acquired within 1 second, so that 5 state classification results can be obtained, and if 1 of the state classification results is normal in attitude and 4 of the state classification results are abnormal in attitude; if 6 field posture pictures are collected within 1 second, wherein 3 of the 6 field posture pictures are normal in posture, 3 of the 6 field posture pictures are abnormal, and the item with the highest probability ratio cannot be obtained at the moment, odd field posture pictures can be obtained again, and the recognition module continues to judge again.
As a further scheme of the invention: the preset conditions are as follows: the one with the highest probability ratio is not obtained.
Through the technical scheme, when the item with the highest probability ratio cannot be obtained, the recognition module can be considered to be ambiguous when the judgment result given by the recognition module is given, the confidence coefficient is poor, the posture expression strength of the target antenna in the field posture picture is improved, so that the sampling frequency can be improved, more field posture pictures are obtained, the posture expression strength of the target antenna in the field posture picture can also be improved by changing the reflection angle of the reflection unit, and the recognition accuracy of the recognition module is improved from the side.
As a further scheme of the invention: the light emitting color of the active light emitting unit is variable, the light emitting color combination of the active light emitting units arranged on the same target antenna is a preset identification combination, and the identification module distinguishes the target antenna according to the preset identification combination in the field posture picture;
the preset identification combinations are at least three groups, and when the state classification result is abnormal posture, the preset identification combinations are switched.
According to the technical scheme, when a field posture picture contains a plurality of target antennas, the judgment result needs to be matched with the target antennas; in the invention, each target antenna can be preset with a preset identification combination; for example, for a target antenna a at a certain position in a scene attitude picture, assuming that the target antenna has 4 active nodes to be provided with light-emitting patch modules, and the preset identification combination is set to 3 groups, one group may be red, yellow, blue, and green from top to bottom, two groups may be yellow, red, blue, and green from top to bottom, and three groups may be yellow, red, green, and blue from top to bottom, and the corresponding color is emitted by the active light-emitting unit at the corresponding position. Similarly, if another target antenna B also has 4 active nodes to be provided with the light-emitting patch module, and the preset identification combination thereof is set to 3 groups, one group may be purple, yellow, blue, and green from top to bottom, two groups may be yellow, purple, blue, and green from top to bottom, and three groups may be yellow, red, purple, and blue from top to bottom, and if the identification module receives the preset identification combination including yellow, red, purple, and blue, the identification module may identify the target antenna as the target antenna B accordingly; correspondingly, the recognition module can also perform state classification according to the field attitude picture at the same time, output a state classification result corresponding to the target antenna B, if the obtained final state classification result is abnormal in attitude or the final state classification result cannot be obtained, the light-emitting patch module on the target antenna B can switch the preset recognition combination to yellow, purple, blue and green, and at the moment, the newly obtained field attitude picture is sent to the recognition module for judgment and recognition, so that the recognition accuracy and reliability of the invention can be ensured.
While one embodiment of the present invention has been described in detail, the description is only a preferred embodiment of the present invention and should not be taken as limiting the scope of the invention. All equivalent changes and modifications made within the scope of the present invention shall fall within the scope of the present invention.
Claims (8)
1. The utility model provides an antenna gesture monitoring and forewarning system based on thing networking which characterized in that includes:
the light-emitting patch module is fixedly arranged on a movable node of the target antenna;
the image acquisition module is used for acquiring a field attitude picture of the target antenna in a preset time period; the scene posture picture comprises the luminous patch module;
the recognition module is used for outputting a state classification result corresponding to the target antenna according to the field posture picture;
the Internet of things module is used for sending the state classification result of the identification module to the handheld terminal equipment;
wherein, the recognition module is the neural network model through training, handheld terminal equipment is used for reminding the staff, state classification result includes that the gesture is normal and the gesture is abnormal.
2. The internet of things-based antenna attitude monitoring and early warning system according to claim 1, wherein the light-emitting patch module further comprises:
the fixed unit is detachably fixed on the movable node of the target antenna;
the active light-emitting unit is connected with the fixing unit and is used for emitting light to the outside;
and the power supply is connected with the fixing unit and the active light-emitting unit.
3. The internet of things-based antenna attitude monitoring and early warning system according to claim 2, wherein the light-emitting patch module comprises a light-reflecting unit;
and the light reflecting unit is connected with the fixing unit and used for reflecting external light.
4. The antenna attitude monitoring and early warning system based on the internet of things as claimed in claim 2, wherein the image acquisition module comprises a general shooting unit and an ambient light detection module; the ambient light detection module is used for acquiring ambient light intensity;
when the ambient light intensity is lower than a preset light intensity threshold value, the active light-emitting unit improves the light-emitting intensity, and meanwhile, the general shooting unit improves the sampling frequency.
5. The antenna attitude monitoring and early warning system based on the internet of things according to claim 3, wherein the light emitting patch module further comprises a driving module, and the driving module is used for driving the light reflecting unit to change a light reflecting angle under a preset condition.
6. The antenna attitude monitoring and early warning system based on the Internet of things as claimed in claim 5, wherein at least 2 field attitude pictures are obtained within the preset time period, and one of all obtained state classification results with the highest probability ratio is used as a final state classification result; and if one item with the highest probability ratio cannot be obtained, re-obtaining odd number of the field posture pictures.
7. The antenna attitude monitoring and early warning system based on the Internet of things according to claim 6, wherein the preset conditions are as follows: the one with the highest probability ratio is not obtained.
8. The antenna attitude monitoring and early warning system based on the internet of things according to claim 2, wherein the light emitting color of the active light emitting unit is variable, the light emitting color combination of the active light emitting units mounted on the same target antenna is a preset identification combination, and the identification module distinguishes the target antenna according to the preset identification combination in the field attitude picture;
the preset identification combinations are at least three groups, and when the state classification result is abnormal posture, the preset identification combinations are switched.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202210933470.8A CN114993243A (en) | 2022-08-04 | 2022-08-04 | Antenna attitude monitoring and early warning system based on Internet of things |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202210933470.8A CN114993243A (en) | 2022-08-04 | 2022-08-04 | Antenna attitude monitoring and early warning system based on Internet of things |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN114993243A true CN114993243A (en) | 2022-09-02 |
Family
ID=83023246
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202210933470.8A Pending CN114993243A (en) | 2022-08-04 | 2022-08-04 | Antenna attitude monitoring and early warning system based on Internet of things |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN114993243A (en) |
Citations (28)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| DE19653535C1 (en) * | 1996-12-20 | 1998-06-10 | Siemens Ag | Position determination method for local antenna in medical MRI system |
| CN1693922A (en) * | 2005-05-10 | 2005-11-09 | 中国科学院电子学研究所 | Combined measuring device using machine interference synthetic aperture radar base line |
| JP2009129085A (en) * | 2007-11-21 | 2009-06-11 | Denso Wave Inc | Portable reader/writer, and rf tag data reading/writing method therefor |
| CN101707451A (en) * | 2009-11-24 | 2010-05-12 | 中环光伏系统有限公司 | All-weather self-adaptive single-axis solar tracking system and control method thereof |
| CN101938037A (en) * | 2009-06-30 | 2011-01-05 | 上海咏星商务信息咨询有限公司 | Ship-borne satellite antenna servo system posture measuring instrument |
| CN103116364A (en) * | 2013-01-24 | 2013-05-22 | 珠海市东耀企业有限公司 | Antenna attitude monitoring system supporting electric tuning function |
| WO2013137126A1 (en) * | 2012-03-13 | 2013-09-19 | 三菱電機株式会社 | Antenna inspection system, antenna inspection apparatus, antenna inspection method, and program |
| JP2015074382A (en) * | 2013-10-10 | 2015-04-20 | 三菱重工業株式会社 | Attitude detection device, attitude detection method, and attitude detection program |
| CN105652923A (en) * | 2016-03-22 | 2016-06-08 | 华南理工大学 | Self-adaption plant cultivation lighting adjustment system based on machine vision |
| WO2016187752A1 (en) * | 2015-05-22 | 2016-12-01 | 华为技术有限公司 | Method and device for measuring antenna attitude |
| CN107121124A (en) * | 2017-05-19 | 2017-09-01 | 上海宇航系统工程研究所 | A kind of mechanical pointing accuracy method for fast measuring of satellite antenna |
| CN107121125A (en) * | 2017-06-12 | 2017-09-01 | 哈尔滨工业大学 | A kind of communication base station antenna pose automatic detection device and method |
| CN206960666U (en) * | 2017-07-14 | 2018-02-02 | 河南大弘信息科技有限公司 | Using the antenna attitude management system for monitoring of NB IOT technology of Internet of things |
| CN207052766U (en) * | 2017-07-12 | 2018-02-27 | 国网湖南省电力公司 | A kind of detection means and its antenna of antenna feed position |
| CN207369940U (en) * | 2017-09-27 | 2018-05-18 | 北京农业信息技术研究中心 | A kind of greenhouse insect-sticking plate pest automatic monitoring system |
| CN108535721A (en) * | 2018-03-28 | 2018-09-14 | 山东大学 | A kind of secondary lining detecting system and method based on artificial intelligence |
| CN109059878A (en) * | 2018-08-03 | 2018-12-21 | 中国航空工业集团公司雷华电子技术研究所 | The airborne radar antenna two degree-of-freedom motion attitude measurement method of view-based access control model identification |
| CN109410280A (en) * | 2018-09-27 | 2019-03-01 | 中国移动通信集团福建有限公司 | Antenna work joins check method and system |
| CN209120492U (en) * | 2018-12-30 | 2019-07-16 | 科航（苏州）信息科技有限公司 | A kind of wireless self-networking communication node therefor based on double frequency beacon sniff |
| CN111274897A (en) * | 2020-01-15 | 2020-06-12 | 浙江清华柔性电子技术研究院 | Method and device for identifying mark point image |
| CN111461014A (en) * | 2020-04-01 | 2020-07-28 | 西安电子科技大学 | Antenna attitude parameter detection method and device based on deep learning and storage medium |
| CN212114016U (en) * | 2020-05-15 | 2020-12-08 | 深圳粤讯通信科技有限公司 | Mobile phone antenna structure |
| CN112421237A (en) * | 2020-12-08 | 2021-02-26 | 南京商业学校(南京市鼓楼中等专业学校) | Dual-polarized tag antenna patch for logistics management and positioning method |
| US20210215481A1 (en) * | 2018-11-09 | 2021-07-15 | Wuyi University | Method for measuring antenna downtilt angle based on multi-scale deep semantic segmentation network |
| CN113240740A (en) * | 2021-05-06 | 2021-08-10 | 四川大学 | Attitude measurement method based on phase-guided binocular vision dense marking point matching |
| CN114022844A (en) * | 2021-11-02 | 2022-02-08 | 中国联合网络通信集团有限公司 | Antenna weight value configuration method and device, electronic equipment and storage medium |
| CN114022512A (en) * | 2021-10-30 | 2022-02-08 | 平安国际智慧城市科技股份有限公司 | Exercise assisting method, apparatus and medium |
| CN114079156A (en) * | 2021-10-08 | 2022-02-22 | 东风越野车有限公司 | Self-adaptive vehicle-mounted antenna lodging control method and system |
-
2022
- 2022-08-04 CN CN202210933470.8A patent/CN114993243A/en active Pending
Patent Citations (29)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| DE19653535C1 (en) * | 1996-12-20 | 1998-06-10 | Siemens Ag | Position determination method for local antenna in medical MRI system |
| CN1693922A (en) * | 2005-05-10 | 2005-11-09 | 中国科学院电子学研究所 | Combined measuring device using machine interference synthetic aperture radar base line |
| JP2009129085A (en) * | 2007-11-21 | 2009-06-11 | Denso Wave Inc | Portable reader/writer, and rf tag data reading/writing method therefor |
| CN101938037A (en) * | 2009-06-30 | 2011-01-05 | 上海咏星商务信息咨询有限公司 | Ship-borne satellite antenna servo system posture measuring instrument |
| CN101707451A (en) * | 2009-11-24 | 2010-05-12 | 中环光伏系统有限公司 | All-weather self-adaptive single-axis solar tracking system and control method thereof |
| WO2013137126A1 (en) * | 2012-03-13 | 2013-09-19 | 三菱電機株式会社 | Antenna inspection system, antenna inspection apparatus, antenna inspection method, and program |
| CN104136903A (en) * | 2012-03-13 | 2014-11-05 | 三菱电机株式会社 | Antenna inspection system, antenna inspection apparatus, antenna inspection method, and program |
| CN103116364A (en) * | 2013-01-24 | 2013-05-22 | 珠海市东耀企业有限公司 | Antenna attitude monitoring system supporting electric tuning function |
| JP2015074382A (en) * | 2013-10-10 | 2015-04-20 | 三菱重工業株式会社 | Attitude detection device, attitude detection method, and attitude detection program |
| WO2016187752A1 (en) * | 2015-05-22 | 2016-12-01 | 华为技术有限公司 | Method and device for measuring antenna attitude |
| CN105652923A (en) * | 2016-03-22 | 2016-06-08 | 华南理工大学 | Self-adaption plant cultivation lighting adjustment system based on machine vision |
| CN107121124A (en) * | 2017-05-19 | 2017-09-01 | 上海宇航系统工程研究所 | A kind of mechanical pointing accuracy method for fast measuring of satellite antenna |
| CN107121125A (en) * | 2017-06-12 | 2017-09-01 | 哈尔滨工业大学 | A kind of communication base station antenna pose automatic detection device and method |
| CN207052766U (en) * | 2017-07-12 | 2018-02-27 | 国网湖南省电力公司 | A kind of detection means and its antenna of antenna feed position |
| CN206960666U (en) * | 2017-07-14 | 2018-02-02 | 河南大弘信息科技有限公司 | Using the antenna attitude management system for monitoring of NB IOT technology of Internet of things |
| CN207369940U (en) * | 2017-09-27 | 2018-05-18 | 北京农业信息技术研究中心 | A kind of greenhouse insect-sticking plate pest automatic monitoring system |
| CN108535721A (en) * | 2018-03-28 | 2018-09-14 | 山东大学 | A kind of secondary lining detecting system and method based on artificial intelligence |
| CN109059878A (en) * | 2018-08-03 | 2018-12-21 | 中国航空工业集团公司雷华电子技术研究所 | The airborne radar antenna two degree-of-freedom motion attitude measurement method of view-based access control model identification |
| CN109410280A (en) * | 2018-09-27 | 2019-03-01 | 中国移动通信集团福建有限公司 | Antenna work joins check method and system |
| US20210215481A1 (en) * | 2018-11-09 | 2021-07-15 | Wuyi University | Method for measuring antenna downtilt angle based on multi-scale deep semantic segmentation network |
| CN209120492U (en) * | 2018-12-30 | 2019-07-16 | 科航（苏州）信息科技有限公司 | A kind of wireless self-networking communication node therefor based on double frequency beacon sniff |
| CN111274897A (en) * | 2020-01-15 | 2020-06-12 | 浙江清华柔性电子技术研究院 | Method and device for identifying mark point image |
| CN111461014A (en) * | 2020-04-01 | 2020-07-28 | 西安电子科技大学 | Antenna attitude parameter detection method and device based on deep learning and storage medium |
| CN212114016U (en) * | 2020-05-15 | 2020-12-08 | 深圳粤讯通信科技有限公司 | Mobile phone antenna structure |
| CN112421237A (en) * | 2020-12-08 | 2021-02-26 | 南京商业学校(南京市鼓楼中等专业学校) | Dual-polarized tag antenna patch for logistics management and positioning method |
| CN113240740A (en) * | 2021-05-06 | 2021-08-10 | 四川大学 | Attitude measurement method based on phase-guided binocular vision dense marking point matching |
| CN114079156A (en) * | 2021-10-08 | 2022-02-22 | 东风越野车有限公司 | Self-adaptive vehicle-mounted antenna lodging control method and system |
| CN114022512A (en) * | 2021-10-30 | 2022-02-08 | 平安国际智慧城市科技股份有限公司 | Exercise assisting method, apparatus and medium |
| CN114022844A (en) * | 2021-11-02 | 2022-02-08 | 中国联合网络通信集团有限公司 | Antenna weight value configuration method and device, electronic equipment and storage medium |
Non-Patent Citations (2)
| Title |
|---|
| 周密: "《基于无人机航拍图像的天线姿态测量》", 《中国优秀硕士学位论文全文数据库 工程科技Ⅱ辑》 * |
| 王莹莹 等: "《基于物联网传感器的基站天线姿态监测系统及应用》", 《新技术研究》 * |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN112325705B (en) | All-weather multi-mode shooting target-reporting system and method for humanoid paper targets | |
| CN110244770A (en) | A kind of accurate landing system of unmanned plane based on UWB positioning | |
| CN109039458A (en) | A kind of indoor locating system and method | |
| CN106871793B (en) | A method of it is displaced using laser and imaging technique combined monitoring building | |
| CN109116298B (en) | Positioning method, storage medium and positioning system | |
| CN204479775U (en) | A kind of Novel cloud sees detection system | |
| CN108036856B (en) | Real-time calibration system for airborne imaging spectrometer of multi-rotor unmanned aerial vehicle | |
| CN107993397A (en) | A kind of forest fire preventing monitor system and method based on wireless mesh network | |
| CN108413966A (en) | Localization method based on a variety of sensing ranging technology indoor locating systems | |
| CN102854138A (en) | Visibility measuring system and method based on digital camera shooting method | |
| CN104391274A (en) | Visible light positioning method and visible light positioning system based on circular projection | |
| CN104280344A (en) | System and method for measuring visibility based on digital photographing method | |
| CN208828051U (en) | A kind of Multifunctional navigation mark lamp | |
| CN114993243A (en) | Antenna attitude monitoring and early warning system based on Internet of things | |
| CN204667578U (en) | The two spectrum observation instrument of a kind of hand-held forest fire protection | |
| CN103117802A (en) | Communication method on basis of rate adaptation in visible light communication system | |
| CN212779202U (en) | Building settlement monitoring device and monitoring system | |
| CN108791717A (en) | A kind of Multifunctional navigation mark lamp | |
| CN211042730U (en) | Bridge displacement monitoring system based on visual perception | |
| CN209131726U (en) | Front-end information acquires sending device and outdoor advertising installation security on-line monitoring system | |
| CN115326049A (en) | Antenna attitude remote data acquisition system based on NB-IOT | |
| CN106100731A (en) | A kind of insert row control system of long-range LBS location navigation | |
| CN205168898U (en) | Environmental monitoring unmanned aerial vehicle | |
| CN213491920U (en) | Sports training speed measurement analysis system based on UWB positioning technology | |
| CN210109977U (en) | Forest fire alarm system |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| RJ01 | Rejection of invention patent application after publication | ||
| RJ01 | Rejection of invention patent application after publication |
Application publication date: 20220902 |