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CN112183475A - Electrical potential safety hazard identification system based on machine vision - Google Patents

Electrical potential safety hazard identification system based on machine vision Download PDF

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CN112183475A
CN112183475A CN202011171771.9A CN202011171771A CN112183475A CN 112183475 A CN112183475 A CN 112183475A CN 202011171771 A CN202011171771 A CN 202011171771A CN 112183475 A CN112183475 A CN 112183475A
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module
power supply
image acquisition
machine vision
safety hazard
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彭泽余
胡志峰
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Zhenjiang Qichuang Information Technology Co ltd
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    • G06COMPUTING; CALCULATING OR COUNTING
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    • G06Q50/06Energy or water supply
    • GPHYSICS
    • G08SIGNALLING
    • G08BSIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
    • G08B7/00Signalling systems according to more than one of groups G08B3/00 - G08B6/00; Personal calling systems according to more than one of groups G08B3/00 - G08B6/00
    • G08B7/06Signalling systems according to more than one of groups G08B3/00 - G08B6/00; Personal calling systems according to more than one of groups G08B3/00 - G08B6/00 using electric transmission, e.g. involving audible and visible signalling through the use of sound and light sources

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Abstract

本发明公开了一种基于机器视觉的电气安全隐患识别系统,涉及电气控制系统技术领域,该基于机器视觉的电气安全隐患识别系统,包括供电系统、图像获取系统、控制系统和信号展示系统,所述供电系统包括电源模块一、电源模块二和电源切换模块,所述电源模块一和电源模块二均与电源切换模块电连接,所述电源切换模块分别与图像获取系统、控制系统和信号展示系统电连接,图像获取系统包括若干个相互独立的图像获取模块,且图像获取模块包括图像获取单元和灯光系统,图像获取模块与信号传输模块一双向信号连接。本发明通过设置供电系统、图像获取系统、控制系统和信号展示系统,解决了智能生产的安全需要基于机器视觉的电气安全隐患识别系统的问题。

Figure 202011171771

The invention discloses a machine vision-based electrical safety hazard identification system, which relates to the technical field of electrical control systems. The machine vision-based electrical safety hazard identification system includes a power supply system, an image acquisition system, a control system and a signal display system. The power supply system includes a first power supply module, a second power supply module and a power supply switching module, the first power supply module and the second power supply module are both electrically connected with the power supply switching module, and the power supply switching module is respectively connected with the image acquisition system, the control system and the signal display system. The image acquisition system includes several mutually independent image acquisition modules, and the image acquisition module includes an image acquisition unit and a lighting system, and the image acquisition module and the signal transmission module are connected by a bidirectional signal. By setting the power supply system, the image acquisition system, the control system and the signal display system, the invention solves the problem that the safety of intelligent production requires a machine vision-based electrical safety hazard identification system.

Figure 202011171771

Description

Electrical potential safety hazard identification system based on machine vision
Technical Field
The invention relates to the technical field of electrical control systems, in particular to an electrical potential safety hazard identification system based on machine vision.
Background
Machine vision is a branch of artificial intelligence and also an important component of artificial intelligence, and most of the artificial intelligence needs to be used more or less. In brief, machine vision is to use electronic camera and video equipment to take image information, and achieve the purpose of similar visual effect of human and animal eyes. Artificial intelligence and machine vision are rapidly developing, such as industrial manipulators, express robots, unmanned aerial vehicles, unmanned functions of certain brands of automobiles, unmanned taxis in wuhan and beijing, and the like, which are related to machine vision technology chiffons. With the continuous development, perfection and popularization of machine vision technology, safety supervision work is started to be carried out on various factories, workshops, equipment and machines by utilizing the machine vision technology, the traditional manual supervision is replaced, the work efficiency is greatly improved, and the labor intensity and the production and use cost are reduced. The electrical potential safety hazard identification system based on the machine vision is an important milestone for intelligent production by utilizing the technology of the machine vision and carrying out safety identification, supervision and control after information acquired by machine vision equipment is processed by a computer, so that the electrical potential safety hazard identification system based on the machine vision cannot be separated from the current and future safety production.
Disclosure of Invention
Technical problem to be solved
Aiming at the defects of the prior art, the invention provides an electrical potential safety hazard identification system based on machine vision, and solves the problem that the safety of intelligent production needs the electrical potential safety hazard identification system based on machine vision.
(II) technical scheme
In order to achieve the purpose, the invention provides the following technical scheme: the utility model provides an electrical safety hidden danger identification system based on machine vision, includes power supply system, image acquisition system, control system and signal display system, power supply system includes power module one, power module two and power switching module, power module one and power module two all are connected with power switching module electricity, power switching module is connected with image acquisition system, control system and signal display system electricity respectively.
The image acquisition system comprises a plurality of mutually independent image acquisition modules, each image acquisition module comprises an image acquisition unit and a lighting system, the image acquisition modules are in bidirectional signal connection with the signal transmission module I, the signal transmission module I is in bidirectional signal connection with the signal transmission module II, and the signal transmission module II is in bidirectional signal connection with the control system.
The control system comprises a control module, an input module, an image processing module, a storage module, an output module and a comparison module, wherein the output end of the control module is electrically connected with the input ends of the storage module and the comparison module respectively, the storage module is electrically connected with the output module, the input end of the control module is electrically connected with the output ends of the input module, the signal transmission module II and the image processing module respectively, and the input end of the image processing module is connected with the input end of the signal transmission module II.
The signal display system comprises a plurality of mutually independent signal display modules, the input end of the signal display system is electrically connected with the output end of the control system, each display module comprises an image display unit, a buzzing alarm unit and a light alarm unit, the input end of each image display unit is electrically connected with the output end of the control module, and the input ends of the buzzing alarm unit and the light alarm unit are respectively electrically connected with the output end of the comparison module.
Preferably, the first power supply module is 220V mains supply, the second power supply module is a photovoltaic power generation assembly or a fuel generator, and the second power supply module comprises a voltage regulator.
Preferably, the power supply switching module is an automatic transfer switching device.
Preferably, the image acquisition unit at least comprises an image camera, a fixed-focus camera and an industrial camera, the lighting system comprises a first lighting module, a second lighting module and a light sensing module, and the light sensing module is in signal connection with the first lighting module.
Preferably, the first lighting module is a production lighting device, the second lighting module is a supplementary lighting device, the output end of the photoinduction module is electrically connected with the input end of the first signal transmission module, and the second lighting module and the image acquisition unit are in bidirectional signal connection with the signal transmission module.
Preferably, the control system is a main computer.
Preferably, the image display unit is a liquid crystal display, and the buzzer alarm unit and the light alarm unit are respectively an audible alarm and a light alarm.
Preferably, a plurality of signal display modules of the signal display system are respectively positioned inside a plurality of control rooms.
(III) advantageous effects
The invention provides an electrical potential safety hazard identification system based on machine vision, which has the following beneficial effects:
according to the invention, by arranging the power supply system, the image acquisition system, the control system and the signal display system, the power supply system is provided with the commercial power and the standby power supply at the same time, and the standby power supply can be timely distributed to a use place when the commercial power fails, is in power failure or is maintained, so that the safe and stable operation of the whole system can be still ensured under the condition of short-time power failure, which is the root for avoiding potential safety hazard; the image acquisition system comprehensively judges and ensures the accuracy and the high efficiency of signal input through the all-round image signal input in multiple aspects; the control system can carry out controllable adjustment according to actual conditions and specificity of different time periods by setting and modifying different signal threshold parameters, so as to avoid misoperation; the signal display module is located in a plurality of different control rooms through the signal display system, when hidden danger problems occur, alarm and problems are found, workers in different control rooms can quickly judge the distance between a hidden danger position and the current position, the workers can carry out nearby processing, the damage degree of the hidden danger is reduced, loss is reduced, production and life safety is ensured, machine vision information acquisition is achieved, intelligent judgment processing is achieved, problems can be found and processed manually, safety is ensured, and the problem that safety of intelligent production needs to be achieved based on an electric hidden danger identification system of the machine vision is solved.
Drawings
FIG. 1 is a schematic diagram of the overall system of the present invention;
FIG. 2 is a schematic diagram of an image acquisition module system of the present invention;
fig. 3 is a schematic diagram of a signal display module 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.
As shown in fig. 1-3, the present invention provides a technical solution: the utility model provides an electrical safety hidden danger identification system based on machine vision, includes power supply system, image acquisition system, control system and signal display system, power supply system includes power module one, power module two and power switching module, power module one and power module two all are connected with power switching module electricity, power switching module is connected with image acquisition system, control system and signal display system electricity respectively, and under the normal condition, entire system adopts the commercial power supply, but the commercial power inevitable temporary condition such as outage, trouble and maintenance appear, but safety monitoring can not stop, and power supply system is through the power in two kinds of completely different sources to when a power supply terminates, the second kind of power supply mode stands to replace the benefit, ensures entire system normal operating, the incessant control of potential safety hazard.
The image acquisition system comprises a plurality of mutually independent image acquisition modules, the image acquisition modules comprise an image acquisition unit and a lighting system, the image acquisition modules are in bidirectional signal connection with a signal transmission module I, the signal transmission module I is in bidirectional signal connection with a signal transmission module II, the signal transmission module II is in bidirectional signal connection with a control system, the image acquisition modules correspond to different monitoring points respectively, each monitoring point has a plurality of image input modes, input signals can be compared with each other, obvious abnormal information can be conveniently judged, maintenance of workers is facilitated, the accuracy of signal input is ensured, and the speed of signal input is improved.
The control system comprises a control module, an input module, an image processing module, a storage module, an output module and a comparison module, wherein the output end of the control module is respectively and electrically connected with the input ends of the storage module and the comparison module, the storage module is electrically connected with the output module, the input end of the control module is respectively and electrically connected with the output ends of the input module, the signal transmission module II and the image processing module, the input end of the image processing module is connected with the input end of the signal transmission module II, the image processing module mainly processes the information recorded by the image acquisition module, and the information such as pixel distribution, brightness, color, time, place and position is converted into electric signals for transmission.
The signal display system includes a plurality of mutually independent signal display module, and signal display system's input is connected with control system's output electricity, display module includes image display element, buzzing alarm unit and light alarm unit, image display element's input is connected with control module's output electricity, buzzing alarm unit and light alarm unit's input is connected with the output electricity of contrast module respectively, inside a plurality of signal display module distribute with the control room of difference, every control room all can see when taking place the safety problem, and the staff of different control rooms can judge the distance of potential safety hazard position and current position, handles nearby, improves the processing speed, reduces the safety influence.
As a technical optimization scheme of the invention, the first power supply module is 220V mains supply, the second power supply module is a photovoltaic power generation assembly or a fuel generator, the photovoltaic power generation assembly and the fuel generator jointly act as a standby power supply, and the power supply module comprises a voltage regulator, so that double insurance is realized, and the safety of the power supply module is ensured.
As a technical optimization scheme of the invention, the power supply switching module is an automatic transfer switching device and is used for realizing seamless switching when a power supply fails and automatically switching commercial power and standby power supplies.
As a technical optimization scheme of the present invention, the image acquisition unit at least includes an image camera, a fixed-focus camera and an industrial camera, the lighting system includes a first lighting module, a second lighting module and a light sensing module, and the light sensing module is in signal connection with the first lighting module.
As a technical optimization scheme of the invention, the first lighting module is a production lighting device, the second lighting module is a supplementary lighting device, an output end of the photoinduction module is electrically connected with an input end of the first signal transmission module, the second lighting module and the image acquisition unit are in bidirectional signal connection with the first signal transmission module, personnel work except for an on-duty worker, generally, the production is performed in daytime or several shifts are performed, if the personnel work except for the on-duty worker, other workers go off duty, and the production lighting device is completely turned off, and then the control module drives the second lighting module to be turned on after the photoinduction module senses that the production lighting device is turned off.
As a technical optimization scheme of the invention, the control system is a main computer, and the main computer is arranged in one control room.
As a technical optimization scheme of the invention, the image display unit is a liquid crystal display, the buzzing alarm unit and the light alarm unit are respectively an acoustic alarm and a light alarm, when no potential safety hazard occurs, the monitoring wall image display unit displays recorded images, when the potential safety hazard occurs, the monitoring wall displays the potential safety hazard positions together, and the potential safety hazard positions can be seen through images by multi-directional alarm of images, sounds and light.
As a technical optimization scheme of the invention, a plurality of signal display modules of the signal display system are respectively positioned in a plurality of control rooms, so that potential safety hazards can be conveniently found in time, and loss can be timely reduced by processing.
The working principle is as follows: the power supply system is provided with the mains supply and the standby power supply at the same time, and when the mains supply fails, is in power failure or is overhauled, the standby power supply can be timely dispatched to a use field, so that the safe and stable operation of the whole system can be still ensured under the condition of short-time power failure, and the potential safety hazard is fundamentally avoided; the image acquisition system comprehensively judges and ensures the accuracy and the high efficiency of signal input through the all-round image signal input in multiple aspects; the control system can carry out controllable adjustment according to actual conditions and specificity of different time periods by setting and modifying different signal threshold parameters, so as to avoid misoperation; the signal display module is located in the plurality of different control rooms through the signal display system, when hidden danger problems occur, when warning and problems are found, workers in different control rooms can quickly judge the distance between a hidden danger position and the current position, the workers can carry out near processing, the damage degree of the hidden danger is reduced, loss is reduced, production and life safety is ensured, machine vision information acquisition is achieved, intelligent judgment processing is achieved, manual control and quick problem finding and processing are achieved, and safety is ensured.
In conclusion, the intelligent production system solves the problem that the safety of intelligent production needs an electrical potential safety hazard identification system based on machine vision by arranging the power supply system, the image acquisition system, the control system and the signal display system.
It is noted that, herein, relational terms such as first and second, and the like may be used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Also, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus.
Although embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that changes, modifications, substitutions and alterations can be made in these embodiments without departing from the principles and spirit of the invention, the scope of which is defined in the appended claims and their equivalents.

Claims (8)

1. The utility model provides an electrical safety hidden danger identification system based on machine vision, includes power supply system, image acquisition system, control system and signal display system, its characterized in that: the power supply system comprises a power supply module I, a power supply module II and a power supply switching module, wherein the power supply module I and the power supply module II are electrically connected with the power supply switching module, and the power supply switching module is respectively and electrically connected with the image acquisition system, the control system and the signal display system;
the image acquisition system comprises a plurality of mutually independent image acquisition modules, each image acquisition module comprises an image acquisition unit and a lighting system, the image acquisition modules are in bidirectional signal connection with a signal transmission module I, the signal transmission module I is in bidirectional signal connection with a signal transmission module II, and the signal transmission module II is in bidirectional signal connection with the control system;
the control system comprises a control module, an input module, an image processing module, a storage module, an output module and a comparison module, wherein the output end of the control module is respectively and electrically connected with the input ends of the storage module and the comparison module;
the signal display system comprises a plurality of mutually independent signal display modules, the input end of the signal display system is electrically connected with the output end of the control system, each display module comprises an image display unit, a buzzing alarm unit and a light alarm unit, the input end of each image display unit is electrically connected with the output end of the control module, and the input ends of the buzzing alarm unit and the light alarm unit are respectively electrically connected with the output end of the comparison module.
2. The machine vision-based electrical safety hazard identification system as claimed in claim 1, wherein: the power module I is 220V commercial power, the power module II is a photovoltaic power generation assembly or a fuel generator, and the power module comprises a voltage regulator.
3. The machine vision-based electrical safety hazard identification system as claimed in claim 1, wherein: the power supply switching module is an automatic transfer switching device.
4. The machine vision-based electrical safety hazard identification system as claimed in claim 1, wherein: the lighting system at least comprises a lighting module I, a lighting module II and a light induction module, and the light induction module is in signal connection with the lighting module I.
5. The machine vision-based electrical safety hazard identification system as claimed in claim 4, wherein: the lighting module I is used for producing lighting equipment, the lighting module II is used for supplementing light and is electrically connected with the input end of the signal transmission module I, and the lighting module II and the image acquisition unit are in bidirectional signal connection with the signal transmission module.
6. The machine vision-based electrical safety hazard identification system as claimed in claim 1, wherein: the control system is a main-end computer.
7. The machine vision-based electrical safety hazard identification system as claimed in claim 1, wherein: the image display unit is a liquid crystal display, and the buzzing alarm unit and the light alarm unit are respectively an acoustic alarm and an optical alarm.
8. The machine vision-based electrical safety hazard identification system as claimed in claim 1, wherein: the signal display modules of the signal display system are respectively positioned in the control rooms.
CN202011171771.9A 2020-10-28 2020-10-28 Electrical potential safety hazard identification system based on machine vision Pending CN112183475A (en)

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Citations (10)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN107420826A (en) * 2016-05-23 2017-12-01 宁波亚茂光电股份有限公司 A kind of illuminator with monitoring alarm function
CN108286938A (en) * 2018-02-06 2018-07-17 陕西理工大学 A kind of Machine Vision Inspecting System
KR101907349B1 (en) * 2018-03-08 2018-10-11 유영록 Manufacturing machine remote management system using optical image sensing and smart technology
CN110009855A (en) * 2019-04-12 2019-07-12 国网江苏省电力有限公司南通供电分公司 An intelligent interactive safety management system based on mobile visualization technology
CN110070692A (en) * 2019-04-30 2019-07-30 太原工业学院 A kind of intelligent vision fire-fighting monitoring system and method
CN209343495U (en) * 2019-01-07 2019-09-03 上海悦榄电子科技有限公司 A kind of people's air-defence warning's device intelligence centralized management system Internet-based
CN110288865A (en) * 2019-05-10 2019-09-27 武汉市鸿蒙智慧科技有限公司 A kind of system of skill operation supplemental training and detection based on machine vision
CN110533892A (en) * 2019-09-18 2019-12-03 杭州安廷电力科技有限公司 Domestic electric appliance classifying and identifying system
CN110689692A (en) * 2019-08-31 2020-01-14 南京悠阔电气科技有限公司 Intelligent inspection system for transformer substation
CN110996060A (en) * 2019-12-10 2020-04-10 安徽银河物联通信技术有限公司 Industrial automation intelligent linkage system and method

Patent Citations (10)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN107420826A (en) * 2016-05-23 2017-12-01 宁波亚茂光电股份有限公司 A kind of illuminator with monitoring alarm function
CN108286938A (en) * 2018-02-06 2018-07-17 陕西理工大学 A kind of Machine Vision Inspecting System
KR101907349B1 (en) * 2018-03-08 2018-10-11 유영록 Manufacturing machine remote management system using optical image sensing and smart technology
CN209343495U (en) * 2019-01-07 2019-09-03 上海悦榄电子科技有限公司 A kind of people's air-defence warning's device intelligence centralized management system Internet-based
CN110009855A (en) * 2019-04-12 2019-07-12 国网江苏省电力有限公司南通供电分公司 An intelligent interactive safety management system based on mobile visualization technology
CN110070692A (en) * 2019-04-30 2019-07-30 太原工业学院 A kind of intelligent vision fire-fighting monitoring system and method
CN110288865A (en) * 2019-05-10 2019-09-27 武汉市鸿蒙智慧科技有限公司 A kind of system of skill operation supplemental training and detection based on machine vision
CN110689692A (en) * 2019-08-31 2020-01-14 南京悠阔电气科技有限公司 Intelligent inspection system for transformer substation
CN110533892A (en) * 2019-09-18 2019-12-03 杭州安廷电力科技有限公司 Domestic electric appliance classifying and identifying system
CN110996060A (en) * 2019-12-10 2020-04-10 安徽银河物联通信技术有限公司 Industrial automation intelligent linkage system and method

Non-Patent Citations (1)

* Cited by examiner, † Cited by third party
Title
汪海;王羽中;汪源;: "基于智能视觉的监控识别系统设计", 自动化与仪器仪表, no. 04, 30 April 2019 (2019-04-30), pages 49 - 53 *

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