CN115052337A - Novel intelligent head-mounted terminal inspection system based on AI-Beacon - Google Patents
Novel intelligent head-mounted terminal inspection system based on AI-Beacon Download PDFInfo
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- CN115052337A CN115052337A CN202210582339.1A CN202210582339A CN115052337A CN 115052337 A CN115052337 A CN 115052337A CN 202210582339 A CN202210582339 A CN 202210582339A CN 115052337 A CN115052337 A CN 115052337A
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- 238000007689 inspection Methods 0.000 title claims abstract description 59
- 238000004458 analytical method Methods 0.000 claims abstract description 17
- 238000012549 training Methods 0.000 claims description 13
- 238000005516 engineering process Methods 0.000 claims description 8
- 230000002159 abnormal effect Effects 0.000 claims description 7
- 230000007547 defect Effects 0.000 claims description 7
- 238000000034 method Methods 0.000 claims description 4
- 238000013459 approach Methods 0.000 claims description 3
- 238000004171 remote diagnosis Methods 0.000 abstract description 7
- 238000005259 measurement Methods 0.000 abstract 1
- 238000012937 correction Methods 0.000 description 2
- 238000012986 modification Methods 0.000 description 2
- 230000004048 modification Effects 0.000 description 2
- 238000012545 processing Methods 0.000 description 2
- 230000009286 beneficial effect Effects 0.000 description 1
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- 238000010586 diagram Methods 0.000 description 1
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W64/00—Locating users or terminals or network equipment for network management purposes, e.g. mobility management
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
- G06N5/00—Computing arrangements using knowledge-based models
- G06N5/02—Knowledge representation; Symbolic representation
- G06N5/022—Knowledge engineering; Knowledge acquisition
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T7/00—Image analysis
- G06T7/0002—Inspection of images, e.g. flaw detection
- G06T7/0004—Industrial image inspection
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- G—PHYSICS
- G07—CHECKING-DEVICES
- G07C—TIME OR ATTENDANCE REGISTERS; REGISTERING OR INDICATING THE WORKING OF MACHINES; GENERATING RANDOM NUMBERS; VOTING OR LOTTERY APPARATUS; ARRANGEMENTS, SYSTEMS OR APPARATUS FOR CHECKING NOT PROVIDED FOR ELSEWHERE
- G07C1/00—Registering, indicating or recording the time of events or elapsed time, e.g. time-recorders for work people
- G07C1/20—Checking timed patrols, e.g. of watchman
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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
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W4/00—Services specially adapted for wireless communication networks; Facilities therefor
- H04W4/80—Services using short range communication, e.g. near-field communication [NFC], radio-frequency identification [RFID] or low energy communication
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2207/00—Indexing scheme for image analysis or image enhancement
- G06T2207/10—Image acquisition modality
- G06T2207/10016—Video; Image sequence
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2207/00—Indexing scheme for image analysis or image enhancement
- G06T2207/30—Subject of image; Context of image processing
- G06T2207/30108—Industrial image inspection
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Abstract
The invention relates to the technical field of inspection, and discloses an AI-Beacon-based novel intelligent head-wearing terminal inspection system which comprises a mobile terminal, Bluetooth Beacon equipment and a server, wherein the mobile terminal is integrated on a safety helmet and comprises an AI identification module and a voice broadcast module, the Bluetooth Beacon equipment is arranged at a measuring point position of equipment to be inspected, the signal output end of each Bluetooth Beacon equipment is connected with the safety helmet terminal, the AI identification module is connected with an AI video picture analysis module, and the server transmits analyzed data to the voice broadcast module in real time for terminal voice broadcast. The system is high in convenience, the terminal equipment is integrated on the safety helmet, and a front-line operator is convenient to carry; the intelligent intensity is strong, the accurate location of bluetooth beacon location workshop, Ai video picture analysis measurement point check item, and accurate location discernment is unusual, realizes the safe inspection of full comprehensive understanding to the equipment state, remote diagnosis.
Description
Technical Field
The invention relates to the technical field of inspection, in particular to a novel intelligent head-mounted terminal inspection system based on AI-Beacon.
Background
With the vigorous development of mobile communication technology and the increasing popularity of smart phones, a novel mobile inspection mode based on wireless devices is being widely applied to various fields. Patrol and examine APP can the direct mount on the cell-phone, and the personnel of patrolling and examining begin to patrol and examine the plan through APP, can look over all patrol and examine points and their position at any time. The system can record the routing inspection track of the routing inspection personnel and the position of the routing inspection point when registering, if the defect hidden danger or accident exists in the equipment, photographing or small video recording can be carried out, the defect hidden danger or the accident is uploaded to the system in real time, and the management center can timely know and arrange the related personnel to process as early as possible. The mobile phone terminal can be used for positioning the position of the patrol inspection point, manually recording patrol inspection records and meeting patrol inspection requirements.
However, the prior art has the following problems: when the inspection is not in place, missed or on time, the inspection point is judged manually, the accuracy of manual judgment is not high, and the mobile phone terminal is carried, so that the work of operators is extremely inconvenient; the manual filling of the inspection result has low efficiency, and the inspection can not be carried out in time for recording and reporting; the manager is difficult to know the equipment condition and the on-site emergency treatment timely, accurately and comprehensively, and cannot timely and accurately carry out remote help.
Disclosure of Invention
Aiming at the defects in the prior art, the invention aims to provide a novel intelligent head-mounted terminal inspection system based on AI-Beacon.
In order to achieve the purpose, the invention adopts the following technical scheme:
a novel intelligent head-mounted terminal inspection system based on AI-Beacon comprises a mobile terminal, Bluetooth Beacon equipment and a server, wherein the mobile terminal is integrated on a safety helmet and comprises an AI identification module and a voice broadcast module, the Bluetooth Beacon equipment is arranged at the position of a measuring point of the equipment to be detected and is used for broadcasting data messages; the signal output end of each Bluetooth beacon device is connected with a mobile terminal, and the mobile terminal is used for acquiring a current Bluetooth beacon device information list of a target area, uploading the Bluetooth device information of the area to a server, selecting and configuring a target Bluetooth beacon device according to the data message, and setting the target Bluetooth beacon device as first uploading device information to be uploaded to a cloud server; the server comprises an Ai video picture analysis module and is used for storing the Bluetooth beacon equipment information and calculating the closest Bluetooth beacon equipment; the Ai identification module is connected with the Ai video picture analysis module, and the server transmits analyzed data to the voice broadcast module in real time to perform terminal voice broadcast.
Furthermore, the server carries out data training according to the acquired data, the acquired data comprise videos, pictures and normal operation parameters when the equipment is normal, accurate state parameters of the measuring points are obtained and stored in the knowledge base data, and the real-time state parameters of the measuring points and the internal parameters of the knowledge base data are analyzed and compared by using Ai technology, so that abnormal points are judged.
Furthermore, the server is configured with a signal intensity judgment parameter rsi of the measuring point Bluetooth beacon equipment, and a critical distance is set according to the intensity parameter rsi of the beacon; and the server judges whether the mobile terminal is close to the measuring point equipment or not according to the rssi beacon strength parameter.
Further, the operating parameters include temperature and rotational speed.
Further, the inspection method based on the AI-Beacon novel intelligent head-mounted terminal inspection system comprises the following steps:
1) an operator operates a button to send an instruction to a terminal to carry out a routing inspection task;
2) when the mobile terminal detects that the mobile terminal approaches a measuring point through a Bluetooth beacon, the mobile terminal reads information and a check item of measuring point equipment of the server and broadcasts item information; an Ai identification module is automatically started to collect shooting videos and pictures, the shooting videos and the pictures are automatically uploaded to an Ai video picture analysis module, and the pictures are stored in a server;
3) and analyzing the state of the measuring point through an Ai identification module and an Ai video picture analysis module, and reporting to the server when the defect abnormity occurs.
Further, the Ai identification module collects shot videos and pictures and transmits the videos and the pictures to the server through a tcp protocol and an http protocol.
Compared with the prior art, the invention has the following beneficial effects:
(1) the terminal equipment is integrated on the safety helmet, and the on-line remote diagnosis of an operator can be realized by integrating shooting, voice, video and positioning modules;
(2) the intelligent performance is strong, accurate positioning of a Bluetooth beacon positioning production workshop is loaded, and Ai video picture analysis measuring point check items realize automatic identification of accurate positioning identification abnormity, full and comprehensive understanding of equipment states, safety inspection and remote diagnosis; the inspection mode realizes the inspection point inspection through the terminal voice prompt broadcast and the Ai video picture analysis technology, and realizes the remote diagnosis through the terminal video call.
Drawings
Other features, objects and advantages of the invention will become more apparent upon reading of the detailed description of non-limiting embodiments with reference to the following drawings:
FIG. 1 is a schematic diagram of an AI-Beacon-based novel intelligent head-mounted terminal inspection system.
Detailed Description
The present invention will be described in detail with reference to specific examples. The following examples will assist those skilled in the art in further understanding the invention, but are not intended to limit the invention in any way. It should be noted that variations and modifications can be made by persons skilled in the art without departing from the spirit of the invention. All falling within the scope of the present invention.
As shown in fig. 1, a novel intelligent head-mounted terminal inspection system based on AI-Beacon comprises a mobile terminal, a bluetooth Beacon device and a server, wherein the mobile terminal is integrated on a safety helmet and comprises an AI identification module and a voice broadcast module, the bluetooth Beacon device, such as Beacon 1, Beacon 2 and the like, is arranged at a measuring point (comprising a plurality of measuring points) of the equipment to be inspected, and the bluetooth Beacon device is used for broadcasting data messages; the signal output end of each Bluetooth beacon device is connected with a mobile terminal, and the mobile terminal is used for acquiring a current Bluetooth beacon device information list of a target area, uploading the Bluetooth device information of the area to a server, selecting and configuring a target Bluetooth beacon device according to the data message, and setting the target Bluetooth beacon device as first uploading device information to be uploaded to a cloud server; the server comprises an Ai video picture analysis module and is used for storing the Bluetooth beacon equipment information and calculating the closest Bluetooth beacon equipment; the Ai identification module is connected with the Ai video picture analysis module, and the server transmits analyzed data to the voice broadcast module in real time to perform terminal voice broadcast.
The server carries out data training according to the collected data, the collected data comprise videos, pictures and normal operation parameters when the equipment is normal, the operation parameters comprise temperature and rotating speed, accurate state parameters of the measuring points are obtained and stored in the knowledge base data (the training data are manually collected by operators based on basic data), and the real-time state parameters of the measuring points and the internal parameters of the knowledge base data are analyzed and compared by using Ai technology, so that abnormal points are judged.
The technical personnel in the field can understand that the camera can be integrated with a high-precision thermal imaging temperature measuring sensor, the intelligent face capturing algorithm, the ISP image processing technology and other technologies are built in, and relevant parameters are collected; and the data training is to obtain image data according to the rotating speed and the temperature value of the normal measuring point to obtain reference data, analyze and compare the real-time data according to a real-time sensor to obtain optimal operating parameters, and calculate a mathematical model to obtain measuring point evaluation.
The server is configured with a signal intensity judgment parameter rsi of the measuring point Bluetooth beacon equipment, and a critical distance is set according to the rssi beacon intensity parameter; and the server judges whether the mobile terminal is close to the measuring point equipment or not according to the strength parameter.
An inspection method based on an AI-Beacon novel intelligent head-mounted terminal inspection system comprises the following steps:
1) an operator operates a button to send an instruction to a terminal to carry out a routing inspection task;
2) when the mobile terminal detects that the mobile terminal approaches a measuring point through a Bluetooth beacon, the mobile terminal reads information and a check item of measuring point equipment of the server and broadcasts item information; automatically starting an Ai identification module to collect shot videos and pictures, automatically uploading the videos and the pictures to an AI media server for storage, and transmitting the videos and the pictures in real time;
3) analyzing and analyzing the state of the measuring point through an Ai identification module and an Ai video picture analysis module, reporting to a server when a defect abnormity occurs, waiting for relevant analysis, and transmitting a solution.
When the equipment measuring point is abnormal, the server can judge and send a remote diagnosis instruction according to the knowledge base, a remote diagnosis expert is broadcasted and selected, and the operator selection expert can trigger the terminal video voice module to connect the video for manual remote diagnosis.
The position of the vehicle is determined and navigation services are provided through a satellite navigation positioning system (GPS). However, it is difficult for the existing GPS to guarantee positioning performance indoors and in addition, the existing radio positioning technology can provide only position coordinate information and cannot provide position attribute information. The iBeacon is high in positioning accuracy, wide in coverage range and low in deployment cost relative to other systems, the RSSI value under the beacon is transmitted to a rear-end data server through a Bluetooth gateway through a wifi network, and the specific position of the terminal is measured through a built-in positioning algorithm of the server. However, the RSSI value is greatly influenced by the environment, so it is necessary to perform training test through background data to determine an undetermined value for correction, and perform prejudgment and data correction on the bluetooth signal strength through a server data training model. And an electronic tag (a measuring point device information two-dimensional code) is added, a measuring point of a device can be positioned in an indoor factory, and an operator can clearly know a patrol point and an inspection project.
The server training model platform big data analysis data is trained through model parameters after being processed, training pre-training model videos are obtained, the system can actively push the popup screen to give an early warning after finding problems and is accompanied with a terminal to give a sound prompt, a monitoring center can conveniently find and judge abnormal conditions through real-time video pictures, and the traditional work that manual recording is required by manual operation is omitted.
Model parameter training, comprising:
1. video processing & AI (DeepStream), which compresses and stores video files in an Ai media storage server;
2. video coding, namely coding and converting a video file into picture data;
3. other functions are as follows: carrying out picture identification information on the video data record, screenshot and other pictures again;
4. the pre-training model analyzes and stores the big data of the picture according to the modeling of the measured point data into the knowledge base, and then compares the original data in the knowledge base to obtain a similar data storage base, thereby providing a data source for the next data training.
After the current equipment inspection is made through a terminal plan, an inspection worker can check the inspection plan in real time through a mobile terminal, and the targeted inspection work is carried out. The equipment inspection provides functions of an inspection map, inspection point operation state reporting, equipment defect reporting and the like for inspection personnel. After entering equipment for inspection, all inspection plans of an inspector and the period of each plan to be executed at present are firstly displayed, the inspector selects the plan to be performed to start inspection, and the system can record the track information of the inspector all the time after the inspection is started until the inspection is finished. The inspection interface is divided into two modes, namely a data list mode and a map mode, so that inspection personnel can comprehensively know the work content of the inspection personnel, and the inspection interface is more convenient and efficient to work.
In the related field, the background sends out an instruction in the routine inspection work of the power and petrochemical industry, and an operator completes the operation according to the instruction voice requirement steps, so that the efficiency is improved, and when the abnormal reading of the measuring point of the instrument is emergently dispatched, the instrument can also be directly called by a voice to support the expert of a command center, and the remote assistance is realized. And analyzing the abnormal measuring point, automatically giving an early warning, and prompting the terminal by voice.
The foregoing description has described specific embodiments of the present invention. It is to be understood that the present invention is not limited to the specific embodiments described above, and that various changes and modifications may be made by one skilled in the art within the scope of the appended claims without departing from the spirit of the invention.
Claims (6)
1. A novel intelligent head-mounted terminal inspection system based on AI-Beacon is characterized by comprising a mobile terminal, Bluetooth Beacon equipment and a server, wherein the mobile terminal is integrated on a safety helmet and comprises an AI identification module and a voice broadcast module, the Bluetooth Beacon equipment is arranged at the position of a measuring point of the equipment to be detected and is used for broadcasting data messages; the signal output end of each Bluetooth beacon device is connected with a mobile terminal, and the mobile terminal is used for acquiring a current Bluetooth beacon device information list of a target area, uploading the Bluetooth device information of the area to a server, selecting and configuring a target Bluetooth beacon device according to the data message, and setting the target Bluetooth beacon device as first uploading device information to be uploaded to a cloud server; the server comprises an Ai video picture analysis module and is used for storing the Bluetooth beacon equipment information and calculating the closest Bluetooth beacon equipment; the Ai identification module is connected with the Ai video picture analysis module, and the server transmits analyzed data to the voice broadcast module in real time to perform terminal voice broadcast.
2. The AI-Beacon based novel intelligent head-mounted terminal inspection system according to claim 1, wherein the server performs data training according to the collected data, the collected data comprises videos, pictures and normal operation parameters of the equipment when normal, the accurate state parameters of the measuring points are obtained and stored in the knowledge base data, and the real-time state parameters of the measuring points and the internal parameters of the knowledge base data are analyzed and compared by using AI technology, so as to judge abnormal points.
3. The AI-Beacon based novel intelligent head-mounted terminal inspection system according to claim 1, wherein the server is configured with a signal strength judgment parameter rsi of a survey point Bluetooth Beacon device, and a critical distance is set according to the rssi Beacon strength parameter; and the server judges whether the mobile terminal is close to the measuring point equipment or not according to the rssi beacon strength parameter.
4. The AI-Beacon based novel intelligent headset inspection system according to claim 2, wherein the operational parameters include temperature and speed.
5. The AI-Beacon-based novel intelligent head-mounted terminal inspection system according to any one of claims 1 to 4, wherein the inspection method comprises the following steps:
1) an operator operates a button to send an instruction to a terminal to carry out a routing inspection task;
2) when the mobile terminal detects that the mobile terminal approaches a measuring point through a Bluetooth beacon, the mobile terminal reads information and a check item of measuring point equipment of the server and broadcasts item information; an Ai identification module is automatically started to collect shooting videos and pictures, the shooting videos and the pictures are automatically uploaded to an Ai video picture analysis module, and the Ai video picture analysis module is stored in a server;
3) and analyzing the state of the measuring point through an Ai identification module and an Ai video picture analysis module, and reporting to the server when the defect abnormity occurs.
6. The AI-Beacon based novel intelligent head-mounted terminal inspection system according to claim 5, wherein the AI identification module collects the shot video and pictures and transmits the video and pictures to the server through a tcp protocol and an http protocol.
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| CN202210582339.1A CN115052337A (en) | 2022-05-26 | 2022-05-26 | Novel intelligent head-mounted terminal inspection system based on AI-Beacon |
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN117151654A (en) * | 2023-10-30 | 2023-12-01 | 本溪钢铁（集团）信息自动化有限责任公司 | Equipment point detection method and system based on mobile terminal |
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| CN107196921A (en) * | 2017-04-28 | 2017-09-22 | 成都新橙北斗智联有限公司 | A kind of cruising inspection system and method based on Bluetooth beacon equipment |
| CN109272598A (en) * | 2018-08-30 | 2019-01-25 | 国网安徽省电力有限公司池州供电公司 | Substation's routine cruising inspection system and its method based on bluetooth iBeacon intelligent terminal |
| CN114373245A (en) * | 2021-12-16 | 2022-04-19 | 南京南自信息技术有限公司 | Intelligent inspection system based on digital power plant |
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- 2022-05-26 CN CN202210582339.1A patent/CN115052337A/en active Pending
Patent Citations (4)
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| CN205983586U (en) * | 2016-08-31 | 2017-02-22 | 天津开发区先特网络系统有限公司 | Management system is patrolled and examined to intelligence suitable for petrochemical equipment |
| CN107196921A (en) * | 2017-04-28 | 2017-09-22 | 成都新橙北斗智联有限公司 | A kind of cruising inspection system and method based on Bluetooth beacon equipment |
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