CN212933544U - On-site operation safety identification system based on edge calculation - Google Patents
On-site operation safety identification system based on edge calculation Download PDFInfo
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- CN212933544U CN212933544U CN202022185870.4U CN202022185870U CN212933544U CN 212933544 U CN212933544 U CN 212933544U CN 202022185870 U CN202022185870 U CN 202022185870U CN 212933544 U CN212933544 U CN 212933544U
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Abstract
The utility model discloses an on-the-spot operation safety identification system based on edge calculation relates to job site safety supervision field. The method comprises the following steps: the video acquisition terminal is used for carrying out all-dimensional acquisition on the construction site image; the safety monitoring analysis terminal analyzes the acquired image and identifies potential safety hazards on site; the background system is used for background data processing; the system also comprises an internet of things detection module which is used for intelligently transforming various tools and assisting in safety identification and analysis. Through the arrangement of the devices and the communication connection mode between the devices, the video of a construction site is collected, meanwhile, potential safety hazard analysis and background processing are carried out, the background is used for upgrading a safety monitoring analysis terminal, in addition, the Internet of things detection module is arranged on an operator or equipment device, and the Internet of things detection module is in communication connection with the devices and is matched with video monitoring, so that the real-time safety controllable, controllable and in-control states of the operation site are further realized.
Description
Technical Field
The utility model relates to a job site safety supervises the field, especially relates to a field operation safety identification system based on edge calculation.
Background
The production and operation field has various types of work, complex and various environments and frequent safety accidents, and most of the accidents are caused by nonstandard operation of constructors through investigation, so that serious personal accidents and property loss are caused. Aiming at the problems, enterprises take a series of measures for precaution, and the measures only stay on paper, so that the field real-time safety monitoring and control cannot be realized.
The field safety artificial intelligence identification analyzer is a safety standardized work monitoring analyzer which is developed by combining a Yolo target identification algorithm and a neural network algorithm by utilizing an edge computing technology. The site operation can be effectively monitored, the monitoring data can be processed in real time, potential safety hazard points existing in site operation can be identified, the potential safety hazard points are reported to the master station management platform and alarm linkage and the like are carried out, and management departments at all levels can accurately know and manage and control site working conditions in real time.
SUMMERY OF THE UTILITY MODEL
The technical problem to be solved by the invention is to provide an edge-computing-based field operation safety identification system, which can realize the cooperation among all devices of the system, ensure that the field operation is standard and efficient, and realize that the field operation can be carried out with trace and error; by strictly executing the on-site standardized operation, the unsafe behaviors of the operators who are habitually violated are prevented, and the unsafe state of the objects in the on-site operation is prevented from realizing the real-time safe 'controllable, controllable and on-site control' state.
In order to achieve the above-mentioned effect, the present application discloses an on-site operation safety identification system based on edge calculation, including:
the video acquisition terminal is used for realizing the omnibearing acquisition of the construction site image;
the safety monitoring analysis terminal is used for analyzing the acquired image and identifying potential safety hazards on site;
the background system is used for background data processing;
the system also comprises an internet of things detection module which is used for carrying out intelligent modification on various tools and assisting in safety identification and analysis; the safety monitoring analysis terminal is in communication connection with the video acquisition terminal and receives and processes video data of the video acquisition terminal to obtain potential safety hazard data; the background system is in communication connection with the safety monitoring and analyzing terminal and receives and classifies the potential safety hazard data to upgrade the safety monitoring and analyzing terminal.
The Internet of things detection module can be in communication connection with the safety monitoring analysis terminal as a supplement.
As a technical scheme, the Internet of things detection module is a positioning device, is arranged on site construction operators and is used for acquiring position data.
As a technical scheme, the Internet of things detection module is an angle detection device, is arranged on working tools such as a climbing ladder and the like, and is used for acquiring angle data.
As a technical scheme, the Internet of things detection module is an acceleration sensor, is arranged on a precision instrument and is used for acquiring acceleration data.
As a technical scheme, the Internet of things detection module is an RFID tag, is arranged on the safety tool and is used for acquiring tool data.
Furthermore, the video acquisition terminal comprises a short-distance terminal and a long-distance terminal which are respectively used for detail video acquisition and integral video acquisition of field operation.
Further, the remote terminal and the safety monitoring analysis terminal are integrally arranged.
The beneficial effects of the invention include:
through the setting of video acquisition terminal, safety monitoring analysis terminal and backstage system, and the communication connection mode between the three, realized gathering the video of job site and carry out potential safety hazard analysis and backstage processing simultaneously, the backstage realizes upgrading safety monitoring analysis terminal, in addition through thing allies oneself with detection module, set up on operation personnel or equipment device, and through the communication connection between thing allies oneself with detection module and each device, cooperate with video monitoring, further realize the state "controllable, can control, in the accuse" to the real-time safety of job site. The processing of terminal data is integrated on the terminal equipment by adopting edge calculation, result information is identified in real time and automatically generated, and the result information is automatically uploaded to the master station platform, so that the processing pressure of a master station system server is reduced, the consumption of a large amount of data bandwidth is avoided, and a large amount of data transmission cost is saved.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below. It is obvious that the drawings in the following description are some embodiments of the invention, and that for a person skilled in the art, other drawings can be derived from them without inventive effort.
Fig. 1 is a schematic structural diagram of the present application.
Detailed Description
In order to make the objects, technical solutions and advantages of the embodiments of the present invention clearer, the drawings in the embodiments of the present invention are combined below to clearly and completely describe the technical solutions in the embodiments of the present invention. It is to be understood that the embodiments described are only some of the embodiments of the present invention, and not all of them. Based on the embodiments in the present invention, all other embodiments obtained by a person skilled in the art without creative work belong to the protection scope of the present invention.
The intelligent safety system consists of four parts, namely a safety monitoring analysis terminal, a safety helmet video acquisition terminal, a background system and an Internet of things detection module.
The safety monitoring and analyzing terminal is responsible for video acquisition of field work and real-time analysis of field safety and for transmitting the identified potential safety hazards to the background system in real time, and the module has strong visual analysis capability and can analyze field construction safety points in real time.
And the video acquisition terminal is responsible for acquiring the detail video of the field work processing device and transmitting the video to the safety monitoring analysis terminal for processing by the safety monitoring terminal. The module has no data processing capability and only performs video acquisition and transmission.
The background system is used for collecting data transmitted by the security monitoring terminal, sorting and classifying the data, interacting the data with the security monitoring terminal, managing the upgrading of various models and identification strategies and pushing upgrading packages to the security monitoring analysis terminal regularly.
And the Internet of things detection module is responsible for intelligently transforming various tools and assisting in safety identification and analysis.
The first embodiment is as follows:
an edge-computing-based field work safety identification system, comprising:
the video acquisition terminal 100 is used for realizing the omnibearing acquisition of construction site images;
the safety monitoring and analyzing terminal 200 is used for analyzing the acquired images and identifying potential safety hazards on site;
a background system 300 for background data processing;
the system also comprises an internet of things detection module 400 which is used for carrying out intelligent modification on various tools and assisting in safety identification and analysis; the safety monitoring analysis terminal is in communication connection with the video acquisition terminal, and receives and processes video data of the video acquisition terminal to obtain potential safety hazard data; the background system is in communication connection with the safety monitoring analysis terminal, and receives and classifies the potential safety hazard data to upgrade the safety monitoring analysis terminal.
The Internet of things detection module can be in communication connection with the safety monitoring analysis terminal and the background system.
As a technical solution, the internet of things detection module is a positioning device 401, and is disposed on a site construction worker for obtaining position data.
The positioning system is mainly used for positioning the position information of constructors, planning a construction area and supervising the construction area, and positioning the emergency help-seeking information so that the emergency help-seeking information can be transmitted to a positioning server of a safety module of site constructors through a Beidou satellite system. When the positioning system is used for inquiring and analyzing, the system can also automatically inquire the conditions such as personnel, time and the like, and then visually display the conditions on a GPS map, so that the construction personnel can be effectively controlled to arrive at a specified site for operation, the operation range of the construction personnel can be standardized, and the behavior of expanding the operation range without permission can be effectively prevented.
Example two:
an edge-computing-based field work safety identification system, comprising:
the video acquisition terminal 100 is used for realizing the omnibearing acquisition of construction site images;
the safety monitoring and analyzing terminal 200 is used for analyzing the acquired images and identifying potential safety hazards on site;
a background system 300 for background data processing;
the system also comprises an internet of things detection module 400 which is used for carrying out intelligent modification on various tools and assisting in safety identification and analysis; the safety monitoring analysis terminal is in communication connection with the video acquisition terminal, and receives and processes video data of the video acquisition terminal to obtain potential safety hazard data; the background system is in communication connection with the safety monitoring analysis terminal, and receives and classifies the potential safety hazard data to upgrade the safety monitoring analysis terminal.
The Internet of things detection module can be in communication connection with the safety monitoring analysis terminal and the background system.
As a technical solution, the internet of things detection module is an angle detection device 402, and is disposed on a working tool such as a climbing ladder, and is used for acquiring angle data.
And adding modules to the existing equipment to realize interconnection and intercommunication of the equipment. The climbing ladder is additionally provided with a gyroscope or other angle detection modules to assist visual identification in detecting the angle of the climbing ladder.
Example three:
an edge-computing-based field work safety identification system, comprising:
the video acquisition terminal 100 is used for realizing the omnibearing acquisition of construction site images;
the safety monitoring and analyzing terminal 200 is used for analyzing the acquired images and identifying potential safety hazards on site;
a background system 300 for background data processing;
the system also comprises an internet of things detection module 400 which is used for carrying out intelligent modification on various tools and assisting in safety identification and analysis; the safety monitoring analysis terminal is in communication connection with the video acquisition terminal, and receives and processes video data of the video acquisition terminal to obtain potential safety hazard data; the background system is in communication connection with the safety monitoring analysis terminal, and receives and classifies the potential safety hazard data to upgrade the safety monitoring analysis terminal.
The Internet of things detection module can be in communication connection with the safety monitoring analysis terminal and the background system.
As a technical solution, the internet of things detection module is an acceleration sensor 403, and is disposed on the precision instrument and used for acquiring acceleration data.
The precision instrument is additionally provided with an acceleration sensor to assist the vision to monitor the carrying of the precision instrument. The method comprises the steps of establishing various precision tool equipment models, monitoring whether tool equipment is used in the construction process, analyzing the running acceleration of the equipment when the equipment is monitored to be used, judging that the precision equipment is carried violently when the acceleration exceeds a set value, causing certain influence on precision and equipment errors, reminding field constructors to take and put the precision equipment lightly by voice, taking a picture and uploading the picture to a system if two or more illegal operations occur in a working period, and recording the equipment number of the equipment for later-stage approval and inspection.
Example four:
an edge-computing-based field work safety identification system, comprising:
the video acquisition terminal 100 is used for realizing the omnibearing acquisition of construction site images;
the safety monitoring and analyzing terminal 200 is used for analyzing the acquired images and identifying potential safety hazards on site;
a background system 300 for background data processing;
the system also comprises an internet of things detection module 400 which is used for carrying out intelligent modification on various tools and assisting in safety identification and analysis; the safety monitoring analysis terminal is in communication connection with the video acquisition terminal, and receives and processes video data of the video acquisition terminal to obtain potential safety hazard data; the background system is in communication connection with the safety monitoring analysis terminal, and receives and classifies the potential safety hazard data to upgrade the safety monitoring analysis terminal.
The Internet of things detection module can be in communication connection with the safety monitoring analysis terminal and the background system.
As a technical solution, the internet of things detection module is an RFID tag 404, and is disposed on the security tool for acquiring tool data. The method comprises the steps of establishing equipment account information of standard instruments, test instruments and safety instruments, wherein the equipment account information comprises the names, model delivery dates, use conditions and verification data of the instruments, scanning and identifying the equipment information of the safety instruments in an RF scanning or visual identification mode, calling account information in a database, checking whether the instruments are in the use period, when the condition that the instruments cannot be safely used due to the fact that the instruments exceed the use period, are seriously damaged and the like is detected, giving a sound alarm to prompt field workers that the instruments are non-compliant tools, and monitoring the workers to use the non-compliant tools to carry out field work to form an alarm and upload the alarm to a system.
Example five:
an edge-computing-based field work safety identification system, comprising:
the video acquisition terminal 100 is used for realizing the omnibearing acquisition of construction site images;
the safety monitoring and analyzing terminal 200 is used for analyzing the acquired images and identifying potential safety hazards on site;
a background system 300 for background data processing;
the system also comprises an internet of things detection module 400 which is used for carrying out intelligent modification on various tools and assisting in safety identification and analysis; the safety monitoring analysis terminal is in communication connection with the video acquisition terminal, and receives and processes video data of the video acquisition terminal to obtain potential safety hazard data; the background system is in communication connection with the safety monitoring analysis terminal, and receives and classifies the potential safety hazard data to upgrade the safety monitoring analysis terminal.
The Internet of things detection module can be in communication connection with the safety monitoring analysis terminal and the background system.
The video acquisition terminal comprises a short-distance terminal and a long-distance terminal which are respectively used for detail video acquisition and integral video acquisition of field operation. The remote terminal and the safety monitoring analysis terminal are integrally arranged. The short-distance terminal is arranged beside the constructors participating in the operation and used for shooting and acquiring operation videos, and if the constructors wear safety helmets or wear gloves correctly and the operation is qualified, the long-distance terminal is used for carrying out integral video acquisition on the whole construction site.
By utilizing an edge computing technology and combining a YoloV3 target recognition algorithm and a neural network algorithm, the developed safety standardized work monitoring and analyzing instrument can monitor field work, process monitoring data in real time, recognize potential safety hazard points existing in the field work, report the potential safety hazard points to a management platform, perform alarm linkage and other processing, and management departments at all levels can timely and accurately know the field work condition, so that the field management efficiency can be effectively improved.
The system adopts the core idea of edge calculation, integrates the processing of terminal data in terminal equipment, reduces the pressure of system server data processing, better supports the real-time intelligent processing and execution of local services, and simultaneously, only needs to transmit useful information to a platform through the data processing of edge nodes, thereby greatly saving the consumption of data bandwidth and having high efficiency.
The above-mentioned embodiments are only intended to describe the preferred embodiments of the present invention, but not to limit the scope of the present invention, and various modifications and improvements made by those skilled in the art without departing from the spirit of the present invention should fall within the protection scope defined by the claims of the present invention.
Claims (8)
1. An edge-computing-based field work safety identification system, comprising:
the video acquisition terminal (100) is used for realizing the omnibearing acquisition of construction site images;
the safety monitoring analysis terminal (200) is used for analyzing the acquired images and identifying potential safety hazards on site;
a background system (300) for background data processing;
the method is characterized in that: the system also comprises an internet of things detection module (400) which is used for carrying out intelligent transformation on various tools and assisting in safety identification and analysis; the safety monitoring analysis terminal is in communication connection with the video acquisition terminal and receives and processes video data of the video acquisition terminal to obtain potential safety hazard data; the background system is in communication connection with the safety monitoring and analyzing terminal and receives and classifies the potential safety hazard data to upgrade the safety monitoring and analyzing terminal.
2. An edge-computing-based field work safety identification system according to claim 1, wherein: the Internet of things detection module can be in communication connection with the safety monitoring analysis terminal.
3. An edge-computing-based field work safety identification system according to claim 1, wherein: the Internet of things detection module is a positioning device (401) which is arranged on site construction operators and used for acquiring position data.
4. An edge-computing-based field work safety identification system according to claim 1, wherein: the thing allies oneself with detection module and is angle detection device (402), sets up on operation tools such as ascending a height ladder for acquire angle data.
5. An edge-computing-based field work safety identification system according to claim 1, wherein: the Internet of things detection module is an acceleration sensor (403) and is arranged on the precision instrument and used for acquiring acceleration data.
6. An edge-computing-based field work safety identification system according to claim 1, wherein: the Internet of things detection module is an RFID tag (404) and is arranged on the safety tool and used for acquiring tool data.
7. An edge-computing-based field work safety identification system according to claim 1, wherein: the video acquisition terminal comprises a short-distance terminal and a long-distance terminal which are respectively used for detail video acquisition and integral video acquisition of field operation.
8. An edge-computing-based field work safety identification system according to claim 7, wherein: the remote terminal and the safety monitoring analysis terminal are integrally arranged.
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| CN202022185870.4U CN212933544U (en) | 2020-09-29 | 2020-09-29 | On-site operation safety identification system based on edge calculation |
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Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113014894A (en) * | 2021-05-25 | 2021-06-22 | 长沙鹏阳信息技术有限公司 | Petroleum underground operation safety staring control method based on artificial intelligence |
| CN114724080A (en) * | 2022-03-31 | 2022-07-08 | 慧之安信息技术股份有限公司 | Construction site intelligent safety identification method and device based on security video monitoring |
| CN117115755A (en) * | 2023-10-23 | 2023-11-24 | 科曼智能科技有限公司 | Power operation site violation monitoring alarm recognition system based on image recognition |
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2020
- 2020-09-29 CN CN202022185870.4U patent/CN212933544U/en active Active
Cited By (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113014894A (en) * | 2021-05-25 | 2021-06-22 | 长沙鹏阳信息技术有限公司 | Petroleum underground operation safety staring control method based on artificial intelligence |
| CN113014894B (en) * | 2021-05-25 | 2021-08-13 | 长沙鹏阳信息技术有限公司 | Petroleum underground operation safety staring control method based on artificial intelligence |
| CN114724080A (en) * | 2022-03-31 | 2022-07-08 | 慧之安信息技术股份有限公司 | Construction site intelligent safety identification method and device based on security video monitoring |
| CN114724080B (en) * | 2022-03-31 | 2023-10-27 | 慧之安信息技术股份有限公司 | Building site intelligent safety identification method and device based on security video monitoring |
| CN117115755A (en) * | 2023-10-23 | 2023-11-24 | 科曼智能科技有限公司 | Power operation site violation monitoring alarm recognition system based on image recognition |
| CN117115755B (en) * | 2023-10-23 | 2024-01-23 | 科曼智能科技有限公司 | Power operation site violation monitoring alarm recognition system based on image recognition |
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