CN112089148A - Intelligent helmet system and pressing plate state identification method - Google Patents
Intelligent helmet system and pressing plate state identification method Download PDFInfo
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- CN112089148A CN112089148A CN202010750085.0A CN202010750085A CN112089148A CN 112089148 A CN112089148 A CN 112089148A CN 202010750085 A CN202010750085 A CN 202010750085A CN 112089148 A CN112089148 A CN 112089148A
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- A—HUMAN NECESSITIES
- A42—HEADWEAR
- A42B—HATS; HEAD COVERINGS
- A42B3/00—Helmets; Helmet covers ; Other protective head coverings
- A42B3/04—Parts, details or accessories of helmets
- A42B3/30—Mounting radio sets or communication systems
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- A—HUMAN NECESSITIES
- A42—HEADWEAR
- A42B—HATS; HEAD COVERINGS
- A42B3/00—Helmets; Helmet covers ; Other protective head coverings
- A42B3/04—Parts, details or accessories of helmets
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06K—GRAPHICAL DATA READING; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
- G06K7/00—Methods or arrangements for sensing record carriers, e.g. for reading patterns
- G06K7/10—Methods or arrangements for sensing record carriers, e.g. for reading patterns by electromagnetic radiation, e.g. optical sensing; by corpuscular radiation
- G06K7/14—Methods or arrangements for sensing record carriers, e.g. for reading patterns by electromagnetic radiation, e.g. optical sensing; by corpuscular radiation using light without selection of wavelength, e.g. sensing reflected white light
- G06K7/1404—Methods for optical code recognition
- G06K7/1408—Methods for optical code recognition the method being specifically adapted for the type of code
- G06K7/1417—2D bar codes
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V20/00—Scenes; Scene-specific elements
- G06V20/10—Terrestrial scenes
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Abstract
An intelligent helmet system and a pressing plate state identification method are disclosed, the system comprises an intelligent helmet and a server, the intelligent helmet comprises a camera module and a communication module, the camera module is used for acquiring a screen cabinet identifier and a pressing plate array image on a screen cabinet in real time when receiving a camera control command, and the communication module is used for sending the acquired screen cabinet identifier and the pressing plate array image to the server; the server comprises a communication unit and a pressing plate identification unit, the communication unit is used for receiving the screen cabinet identification and the pressing plate array image sent by the intelligent helmet, the pressing plate identification unit is used for carrying out image identification on the pressing plate array image, and the state information of each pressing plate in the pressing plate array image corresponding to the screen cabinet identification is determined according to the image identification result. The intelligent helmet is used for photographing the pressing plate part of the screen cabinet by inspection personnel in the inspection process, the picture is transmitted to the server of the intelligent helmet system in real time, the pressing plate state information is identified through an artificial intelligence algorithm, and the problems of large workload and high possibility of error in artificial identification are solved.
Description
Technical Field
The invention relates to the technical field of intelligent identification, in particular to an intelligent helmet system with a pressing plate state identification function.
Background
Along with the continuous promotion of power equipment fine management requirement, the artifical task of patrolling and examining station interior equipment is heavy, the condition such as process is loaded down with trivial details, helmet system is patrolled and examined to current intelligence, possess video interaction, speech recognition, GPS location, patrol and examine operation management, functions such as visible light/infrared thermal imaging is patrolled and examined, judge to the equipment state and rely on patrolling and examining personnel to go on, patrolling and examining personnel is when carrying out the task of patrolling and examining, it all confirms through the manual work to patrol and examine the equipment state, can increase patrolling and examining personnel's work load and the unable timely recording scheduling problem of state information that appears equipment, need a more convenient.
When confirming substation equipment screen cabinet clamp plate state information, because clamp plate quantity is many, the manual work of patrolling and examining personnel is confirmed and is made mistakes easily.
Disclosure of Invention
Objects of the invention
The invention aims to provide an intelligent helmet system with a pressure plate identification function, wherein an inspection worker uses an intelligent helmet to photograph a pressure plate part of a screen cabinet in an inspection process, the photograph is transmitted to a server of the intelligent helmet system in real time, and the state information of the pressure plate is identified through an artificial intelligence algorithm, so that the problems of large workload and high possibility of error in artificial identification are solved.
(II) technical scheme
To solve the above problems, a first aspect of the present invention provides an intelligent helmet system, comprising:
the intelligent helmet comprises a camera module and a communication module, wherein the camera module is used for acquiring a screen cabinet identifier and a pressing plate array image on the screen cabinet in real time when a camera control instruction is received, and the communication module is used for sending the acquired screen cabinet identifier and the pressing plate array image to a server; and
the server comprises a communication unit and a pressing plate identification unit, the communication unit is used for receiving a screen cabinet identification and a pressing plate array image sent by the intelligent helmet, the pressing plate identification unit is used for carrying out image identification on the pressing plate array image, and the state information of each pressing plate in the pressing plate array image corresponding to the screen cabinet identification is determined according to an image identification result.
Furthermore, the intelligent helmet further comprises a voice input module, wherein the voice input module is used for acquiring a camera shooting control instruction so that the camera shooting module acquires a screen cabinet identifier and a pressing plate array image according to the camera shooting control instruction.
Further, the server further comprises a storage unit, wherein the storage unit is used for storing the received pressing plate array image and the corresponding pressing plate state information according to the screen cabinet identifier so as to compare the pressing plate identification result with the last identification result, and inspection personnel and background experts can conveniently know the state change of the pressing plate.
Further, the server further comprises a web communication unit, wherein the web communication unit is used for sending the cabinet identifier and the pressing plate array image stored in the storage unit to a pressing plate identification unit and sending the pressing plate state information determined by the pressing plate identification unit to the storage unit.
Further, the server further comprises a display unit, and the web communication unit is further configured to send the pressing plate state information determined by the pressing plate identification unit to the display unit for display.
Specifically, the platen recognition unit includes:
the Web communication module is used for receiving the cabinet identifier and the pressing plate array image;
the model file module is used for storing a pressing plate array model, and the pressing plate array model comprises a standard characteristic parameter array, the number of pressing plates in the standard characteristic parameter array, a serial number corresponding to each pressing plate and a horizontal and vertical coordinate corresponding to each pressing plate;
the identification module is used for converting the pressing plate array image into an actual characteristic parameter array, and comparing the actual characteristic parameter array with the standard characteristic parameter array to determine an identification result, wherein the identification result comprises the number of the pressing plates, the serial number of each pressing plate, the horizontal and vertical coordinates of each pressing plate and state information corresponding to each pressing plate, and the state information comprises a switch state and a corresponding confidence coefficient; and
the configuration file module is used for determining the state label corresponding to each pressing plate according to the state information corresponding to each pressing plate and generating a display picture containing the state label;
and the Web communication module is also used for sending the display picture to the display module for displaying.
Specifically, the display picture includes an image of each platen in the platen array image, and a corresponding status label and confidence.
Specifically, the web communication unit communicates via an http protocol.
Specifically, the communication module and the communication unit communicate with each other through wifi.
In a second aspect of the present application, a platen status identification method is provided, where the platen status identification is performed by any one of the above intelligent helmet systems, and specifically includes:
when a camera shooting control instruction is received, acquiring a screen cabinet identifier and a pressing plate array image on a screen cabinet in real time through a camera shooting module of the intelligent helmet, and sending the acquired screen cabinet identifier and the pressing plate array image to a server through a communication module of the intelligent helmet;
receiving the screen cabinet identification and the pressing plate array image sent by the intelligent helmet through a communication unit of the server, carrying out image recognition on the pressing plate array image through a pressing plate recognition unit of the server, and determining the state information of each pressing plate in the pressing plate array image corresponding to the screen cabinet identification according to an image recognition result.
Furthermore, the intelligent helmet further comprises a voice input module, and a camera shooting control instruction is obtained through the voice input module, so that the camera shooting module obtains a screen cabinet identifier and a pressing plate array image according to the camera shooting control instruction.
Further, the server further comprises a storage unit, and the storage unit stores the received pressing plate array image and the corresponding pressing plate state information according to the screen cabinet identifier so as to compare the pressing plate identification result with the last identification result, and therefore inspection personnel and background experts can conveniently know the state change of the pressing plate.
Further, the server also comprises a web communication unit, the screen cabinet identification and the pressing plate array image stored in the storage unit are sent to a pressing plate identification unit through the web communication unit, and the pressing plate state information determined by the pressing plate identification unit is sent to the storage unit.
Further, the server further comprises a display unit, and the web communication unit is further configured to send the pressing plate state information determined by the pressing plate identification unit to the display unit for display.
Specifically, the image recognition of the pressing plate array image is performed by a pressing plate recognition unit of the server, and the state information of each pressing plate in the pressing plate array image corresponding to the cabinet identifier is determined according to the image recognition result, which specifically includes:
receiving a screen cabinet identifier and a pressing plate array image through a Web communication module of a pressing plate identification unit;
converting the pressing plate array image into an actual characteristic parameter array through an identification module of the pressing plate identification unit, and comparing the actual characteristic parameter array with the standard characteristic parameter array to determine an identification result, wherein the identification result comprises the number of the pressing plates, the serial numbers of the pressing plates, the horizontal and vertical coordinates of the pressing plates and state information corresponding to the pressing plates, and the state information comprises a switch state and a corresponding confidence coefficient;
determining a state label corresponding to each pressing plate according to the state information corresponding to each pressing plate through a configuration file module of the pressing plate identification unit, and generating a display picture containing the state label;
and sending the display picture to the display module for display through the Web communication module.
Specifically, the display picture includes an image of each platen in the platen array image, and a corresponding switch state identifier and confidence.
Specifically, the web communication unit communicates via an http protocol.
Specifically, the communication module and the communication unit communicate with each other through wifi.
(III) advantageous effects
The technical scheme of the invention has the following beneficial technical effects:
the application provides an intelligence helmet system, the personnel of patrolling and examining are patrolled and examined the clamp plate position of in-process with intelligent helmet to the screen cabinet and are taken a picture to convey the server of intelligence helmet system in real time with the picture, discern clamp plate state information through artificial intelligence algorithm, avoided the problem that artifical discernment work load is big, easily make mistakes.
Drawings
Fig. 1 is a schematic diagram of an intelligent helmet system provided herein;
FIG. 2 is a schematic diagram of web communications provided herein;
FIG. 3 is a flow chart of an identification method according to an embodiment of the present application;
fig. 4 is a display picture provided in the present application.
Detailed Description
In order to make the objects, technical solutions and advantages of the present invention more apparent, the present invention will be described in further detail with reference to the accompanying drawings in conjunction with the following detailed description. It should be understood that the description is intended to be exemplary only, and is not intended to limit the scope of the present invention. Moreover, in the following description, descriptions of well-known structures and techniques are omitted so as to not unnecessarily obscure the concepts of the present invention.
Referring to fig. 1, the invention provides an intelligent helmet system, which comprises an intelligent helmet 2 and a server 3, wherein the intelligent helmet 2 has a photographing function, a voice recognition function and the like, and is communicated with the server 3 through wifi, the voice control intelligent helmet 2 scans a screen cabinet identifier on a screen body 1, after the screen cabinet identifier is recognized, a pressing plate array of the screen body 1 is photographed, and picture information is sent to the server 3 through wifi, specifically:
the intelligent helmet 2 comprises a camera (a camera module) and a wifi module (a communication module), wherein the camera module is used for acquiring a screen cabinet identifier on the screen body 1 and a pressing plate array image on the screen cabinet in real time when receiving a camera control instruction, and the communication module is used for sending the acquired screen cabinet identifier and the pressing plate array image to the server 3;
in this application, the screen cabinet identification can be two-dimensional code, bar code etc. can distinguish the identification code of each screen cabinet, and the screen cabinet identification specifically is the two-dimensional code in this embodiment. The pressing plate array means that a plurality of pressing plates are arranged in order in ranks.
The server 3 comprises a wifi module (communication unit) and a pressing plate identification server 4 (pressing plate identification unit), the communication unit is used for receiving screen body information sent by the intelligent helmet, the screen body information comprises a screen cabinet identifier and a pressing plate array image, the pressing plate identification unit is used for carrying out image identification on the pressing plate array image, and state information of each pressing plate in the pressing plate array image corresponding to the screen cabinet identifier is determined according to an image identification result.
Specifically, image recognition may be performed by conventional image recognition techniques in the present application to determine the status information of each platen.
Furthermore, the intelligent helmet further comprises a microphone (voice input module), and the voice input module is used for acquiring a camera shooting control instruction so that the camera shooting module acquires a screen cabinet identifier and a pressing plate array image according to the camera shooting control instruction. Control instruction input is carried out through voice, operation is convenient, and user experience is good.
Further, the server further comprises a file server 5 (storage unit), wherein the storage unit is used for storing the received pressing plate array image and the corresponding recognized pressing plate state information according to the cabinet identifier so as to compare the pressing plate recognition result with the last recognition result, and inspection personnel and background experts can conveniently know the state change of the pressing plate.
Further, the server further comprises a web server 6(web communication unit), and the web communication unit is used for sending the cabinet identifier and the pressing plate array image stored in the storage unit to the pressing plate identification unit, and sending the pressing plate state information determined by the pressing plate identification unit to the storage unit for storage.
Further, the server further comprises a page display unit 7 (display unit), and the web communication unit is further configured to send the pressing plate state information determined by the pressing plate identification unit to the display unit for displaying. Through setting up the display element, be convenient for more audio-visual show clamp plate state to staff in time discovers the pressboard that has a problem.
Specifically, when using, at first need put up the two-dimensional code of information such as storage screen body number on the screen body 1, the personnel of patrolling and examining wear intelligent helmet and carry out power equipment and patrol and examine, through the two-dimensional code on the voice command control intelligent helmet 2 scanning screen body 1, after the discernment two-dimensional code information, shoot the clamp plate array of the screen body 1 again, through wifi picture information storage in file server 5. The web server 6 sends a post request to the platen state identification server 4, and the platen identification server 4 returns an identification result to the web server 6 after receiving the request, and performs page display through a web browser (display unit).
Specifically, the platen recognition unit includes:
the HTTP application module (Web communication module) is used for receiving the cabinet identifier and the pressing plate array image;
the model file module is used for storing a pressing plate array model, and the pressing plate array model comprises a standard characteristic parameter array, the number of pressing plates in the standard characteristic parameter array, a serial number corresponding to each pressing plate and a horizontal and vertical coordinate corresponding to each pressing plate;
the identification application (identification module) is used for converting the pressing plate array image into an actual characteristic parameter array, and comparing the actual characteristic parameter array with the standard characteristic parameter array to determine an identification result, wherein the identification result comprises the number of the pressing plates, the serial numbers of the pressing plates, the horizontal and vertical coordinates of the pressing plates and state information corresponding to the pressing plates, and the state information comprises a switch state and a corresponding confidence coefficient; and
the configuration file module is used for determining the state label corresponding to each pressing plate according to the state information corresponding to each pressing plate and generating a display picture containing the state label;
and the Web communication module is also used for sending the display picture to the display module for displaying.
By the method, the complex image recognition technology is technically divided into 2 processes of front-end helmet image acquisition and rear-end image intelligent analysis, the front-end hardware performance requirement is reduced, the strong hardware performance of the rear end is multiplexed, and the recognition efficiency and the recognition accuracy are improved. In the aspect of scene application, the system intelligently identifies whether the switching state of the pressing plate on the screen body is correct or not, so that the error of manual operation is avoided, and the reliability of operation and maintenance work is enhanced; meanwhile, the whole operation flow guides the operator to carry out pressing plate putting-in and returning or inspection work by the system program, so that the professional requirement of operation and maintenance work is reduced, the operation and maintenance efficiency is improved, and the automation and visualization of the operation and maintenance are realized.
In this embodiment, the feature parameter matrix may be obtained by converting the length and width data of the image into a matrix by using a conventional picture recognition technology. The standard characteristic parameter matrix is obtained by training a large number of pressing plate array images through a deep learning network SSD and a Mobilene. And comparing the actual characteristic parameter array with the standard characteristic parameter array to determine the on-off state and the corresponding confidence of each pressing plate in the pressing plate array one by one.
As shown in fig. 3, in an embodiment, a specific identification method of the platen identification unit includes:
after receiving a pressing plate identification instruction, the pressing plate identification service reads a length-width data transfer matrix of a pressing plate array image, loads a pressing plate array model file to generate a calculation flow graph, and generates an object dictionary by the matrix and the calculation flow graph, wherein the object dictionary comprises object number, an id list, a confidence list and coordinate list information; reading a pressure plate state label file, adding the number of labels to perform format conversion, and generating id and name of a label dictionary; then, filtering confidence degrees to generate pressure plate identification result information comprising the number of pressure plates, a name list, a confidence degree list and coordinate list information; generating a display label, adding the display label and marked data, converting the data format into an image for storage, and displaying the picture identified by the pressing plate;
specifically, as shown in fig. 4, the display picture includes an image of each platen in the platen array image and the corresponding status label and confidence.
The status label in this application refers to a symbol that indicates the status of the switch of the pressure plate, such as the words "on/open" or "off/close".
Specifically, as shown in fig. 2, the web communication unit communicates through an http protocol. Specifically, the web server sends a pressing plate identification command to the pressing plate identification server through the web interface, and after identification is completed, the pressing plate identification result is transmitted to the web server through the web interface.
Specifically, the communication module and the communication unit communicate with each other through wifi.
In a second aspect of the present application, a platen status identification method is provided, where the platen status identification is performed by any one of the above intelligent helmet systems, and the method specifically includes:
when a camera shooting control instruction is received, acquiring a screen cabinet identifier and a pressing plate array image on a screen cabinet in real time through a camera shooting module of the intelligent helmet, and sending the acquired screen cabinet identifier and the pressing plate array image to a server through a communication module of the intelligent helmet;
receiving the screen cabinet identification and the pressing plate array image sent by the intelligent helmet through a communication unit of the server, carrying out image recognition on the pressing plate array image through a pressing plate recognition unit of the server, and determining the state information of each pressing plate in the pressing plate array image corresponding to the screen cabinet identification according to an image recognition result.
Furthermore, the intelligent helmet further comprises a voice input module, and a camera shooting control instruction is obtained through the voice input module, so that the camera shooting module obtains a screen cabinet identifier and a pressing plate array image according to the camera shooting control instruction.
Further, the server further comprises a storage unit, and the storage unit stores the received pressing plate array image and the corresponding pressing plate state information according to the screen cabinet identifier so as to compare the pressing plate identification result with the last identification result, and therefore inspection personnel and background experts can conveniently know the state change of the pressing plate.
Further, the server also comprises a web communication unit, the screen cabinet identification and the pressing plate array image stored in the storage unit are sent to a pressing plate identification unit through the web communication unit, and the pressing plate state information determined by the pressing plate identification unit is sent to the storage unit.
Further, the server further comprises a display unit, and the web communication unit is further configured to send the pressing plate state information determined by the pressing plate identification unit to the display unit for display.
Specifically, the image recognition of the pressing plate array image is performed by a pressing plate recognition unit of the server, and the state information of each pressing plate in the pressing plate array image corresponding to the cabinet identifier is determined according to the image recognition result, which specifically includes:
receiving a screen cabinet identifier and a pressing plate array image through a Web communication module of a pressing plate identification unit;
converting the pressing plate array image into an actual characteristic parameter array through an identification module of the pressing plate identification unit, and comparing the actual characteristic parameter array with the standard characteristic parameter array to determine an identification result, wherein the identification result comprises the number of the pressing plates, the serial numbers of the pressing plates, the horizontal and vertical coordinates of the pressing plates and state information corresponding to the pressing plates, and the state information comprises a switch state and a corresponding confidence coefficient;
determining a state label corresponding to each pressing plate according to the state information corresponding to each pressing plate through a configuration file module of the pressing plate identification unit, and generating a display picture containing the state label;
and sending the display picture to the display module for display through the Web communication module.
Specifically, the display picture includes an image of each platen in the platen array image, and a corresponding switch state identifier and confidence.
Specifically, the web communication unit communicates via an http protocol.
Specifically, the communication module and the communication unit communicate with each other through wifi.
It is to be understood that the above-described embodiments of the present invention are merely illustrative of or explaining the principles of the invention and are not to be construed as limiting the invention. Therefore, any modification, equivalent replacement, improvement and the like made without departing from the spirit and scope of the present invention should be included in the protection scope of the present invention. Further, it is intended that the appended claims cover all such variations and modifications as fall within the scope and boundaries of the appended claims or the equivalents of such scope and boundaries.
Claims (10)
1. An intelligent helmet system, comprising:
the intelligent helmet comprises a camera module and a communication module, wherein the camera module is used for acquiring a screen cabinet identifier and a pressing plate array image on the screen cabinet in real time when a camera control instruction is received, and the communication module is used for sending the acquired screen cabinet identifier and the pressing plate array image to a server; and
the server comprises a communication unit and a pressing plate identification unit, the communication unit is used for receiving a screen cabinet identification and a pressing plate array image sent by the intelligent helmet, the pressing plate identification unit is used for carrying out image identification on the pressing plate array image, and the state information of each pressing plate in the pressing plate array image corresponding to the screen cabinet identification is determined according to an image identification result.
2. The intelligent helmet system of claim 1, further comprising a voice input module, wherein the voice input module is configured to obtain a camera control command, so that the camera module obtains the cabinet identifier and the platen array image according to the camera control command.
3. The intelligent helmet system of claim 1, wherein the server further comprises a storage unit configured to store the received platen array image and corresponding platen status information according to the cabinet identification.
4. The intelligent helmet system according to claim 3, wherein the server further comprises a web communication unit, and the web communication unit is configured to send the cabinet identifier and the platen array image stored in the storage unit to a platen recognition unit, and send the platen state information determined by the platen recognition unit to the storage unit.
5. The intelligent helmet system according to claim 4, wherein the server further comprises a display unit, and the web communication unit is further configured to send the platen status information determined by the platen identification unit to the display unit for display.
6. The intelligent helmet system of claim 5, wherein the platen identification unit comprises:
the Web communication module is used for receiving the cabinet identifier and the pressing plate array image;
the model file module is used for storing a pressing plate array model, and the pressing plate array model comprises a standard characteristic parameter array, the number of pressing plates in the standard characteristic parameter array, a serial number corresponding to each pressing plate and a horizontal and vertical coordinate corresponding to each pressing plate;
the identification module is used for converting the pressing plate array image into an actual characteristic parameter array, and comparing the actual characteristic parameter array with the standard characteristic parameter array to determine an identification result, wherein the identification result comprises the number of the pressing plates, the serial number of each pressing plate, the horizontal and vertical coordinates of each pressing plate and state information corresponding to each pressing plate, and the state information comprises a switch state and a corresponding confidence coefficient; and
the configuration file module is used for determining the state label corresponding to each pressing plate according to the state information corresponding to each pressing plate and generating a display picture containing the state label;
and the Web communication module is also used for sending the display picture to the display module for displaying.
7. The intelligent helmet system of claim 6, wherein the display picture comprises an image of each platen in the platen array image and corresponding status labels and confidence levels.
8. The intelligent helmet system of claim 4, wherein the web communication unit communicates via an http protocol.
9. The intelligent helmet system of claim 1 wherein the communication module and the communication unit communicate via wifi.
10. A method for identifying the state of a compression plate, which is characterized in that the state of the compression plate is identified by the intelligent helmet system provided by any one of claims 1 to 9.
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| CN202010750085.0A CN112089148A (en) | 2020-07-30 | 2020-07-30 | Intelligent helmet system and pressing plate state identification method |
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| CN202010750085.0A CN112089148A (en) | 2020-07-30 | 2020-07-30 | Intelligent helmet system and pressing plate state identification method |
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