CN110570623A - unsafe behavior prompt system - Google Patents
unsafe behavior prompt system Download PDFInfo
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- CN110570623A CN110570623A CN201810569815.XA CN201810569815A CN110570623A CN 110570623 A CN110570623 A CN 110570623A CN 201810569815 A CN201810569815 A CN 201810569815A CN 110570623 A CN110570623 A CN 110570623A
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V20/00—Scenes; Scene-specific elements
- G06V20/40—Scenes; Scene-specific elements in video content
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- G—PHYSICS
- G08—SIGNALLING
- G08B—SIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
- G08B21/00—Alarms responsive to a single specified undesired or abnormal condition and not otherwise provided for
- G08B21/02—Alarms for ensuring the safety of persons
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Abstract
The invention relates to an unsafe behavior prompting system which is characterized by comprising an earphone microphone, a machine vision camera and a server, wherein the server comprises a machine vision image processing module, a hidden danger information processing module and an unsafe behavior and voice library, the machine vision image processing module processes user behavior image information, identifies the identity of a user, obtains whether the user carries out unsafe behavior and the place where the unsafe behavior is carried out, and sends the unsafe behavior of the user to the hidden danger information processing module; and the hidden danger information processing module is used for sending the unsafe behaviors and the corresponding voice information in the voice library to the earphone corresponding to a certain user after acquiring that the certain user carries out the unsafe behaviors from the machine vision image processing module, and reminding the user of paying attention to the unsafe behaviors. Compared with the prior art, the invention has the advantages that: the unsafe behaviors of the workers can be reminded of the workers working in the place in time.
Description
Technical Field
The invention relates to an unsafe behavior prompting system.
Background
According to DuPont company authority statistics, 96% of accidents are directly caused by unsafe behaviors of people, and research on management of the unsafe behaviors of people becomes an important subject of safety science.
studies have shown that when nearly 80% of unsafe behavior occurs unconsciously, i.e., when such behavior occurs, the parties do not know that they are doing unsafe and are at risk.
For example, a hole exists in a corridor on a certain floor, and no shielding/warning is provided for the hole. If there is no unsafe behavior, no accident will occur. However, if an unsafe behavior occurs in which a person in an industrial site walks while watching a mobile phone, an accident may occur. Many people are accustomed to drawing out a mobile phone to view information when walking in a field. The operation of the mobile phone easily leads people to lose the insight of potential safety hazards in the real environment. People who have become accustomed to walking while operating a mobile phone at home or in an office location also behave similarly at work locations. At this point, if a sound is immediately generated at the ear to inform it that unsafe behavior is proceeding, thus reminding the user of the unsafe behavior, the behavior can be immediately corrected.
In fact, it has been found by way of example above that the vast majority of unsafe activities are those in which the agent itself is unaware of his or her own current safety issues, and he/she then needs a timely external intervention, such as a voice alert, for his or her unsafe activities.
However, until now, no such intelligent products or technologies have emerged.
disclosure of Invention
The technical problem to be solved by the invention is to provide an unsafe behavior prompting system aiming at the prior art, which can prompt the unsafe behavior of the staff to the staff working in the place in time.
the technical scheme adopted by the invention for solving the technical problems is as follows: an unsafe behavior prompting system is characterized by comprising
The headset is carried by a user along with the voice and used for listening to the unsafe behavior voice prompt information sent by the hidden danger information processing module of the server;
The machine vision camera is arranged in a working site and used for shooting user behavior image information and sending the user behavior image information to the machine vision image processing module of the server, and the machine vision image processing module of the server identifies whether the behavior of the user is unsafe;
The server comprises a machine vision image processing module, a hidden danger information processing module and an unsafe behavior and voice library, wherein
the machine vision image processing module is used for processing user behavior image information transmitted by the machine vision camera, identifying the identity of the user, obtaining whether the user carries out unsafe behaviors or not and the place where the unsafe behaviors are carried out, and sending the unsafe behaviors of the user to the hidden danger information processing module;
the hidden danger information processing module is used for sending the unsafe behaviors and the corresponding voice information in the voice library to the earphones corresponding to the personnel under the assistance of the unsafe behaviors and the voice library after acquiring the unsafe behaviors of a certain user from the machine vision image processing module, and reminding the personnel of paying attention to the unsafe behaviors;
the unsafe behavior and voice library is used for storing various unsafe behaviors and corresponding standard voice information for reminding various unsafe behaviors.
as an improvement, the server further comprises a personnel behavior report database used for recording unsafe behavior information of the user, and the information of the personnel behavior report database is obtained from the machine vision image processing module.
In a further improvement, the server further comprises
The association hidden danger database is used for defining, storing, increasing and updating the hidden dangers corresponding to various unsafe behaviors;
and the association hidden danger calculation module is used for discriminating whether the unsafe behaviors of the user have hidden dangers corresponding to the unsafe behaviors, and pushing the hidden dangers to the headset of the user as warning information to remind the user of paying attention.
the server further comprises a status report module for initiating and managing a status report, wherein the content of the status report at least comprises an operator name, operation time and a hidden danger name; the categories of the hidden dangers comprise common hidden dangers and major hidden dangers, when a user initiates a state report, whether the hidden danger is the common hidden danger or the major hidden danger needs to be marked, and for the major hidden danger, a warning voice prompt needs to be given for the user to push warning voice to the headset of the user when the user moves to the vicinity of the hidden danger so that the user can listen to the warning voice.
compared with the prior art, the invention has the advantages that: the unsafe behaviors of the workers can be reminded of the workers working in the place in time.
Drawings
fig. 1 is a block diagram of an insecure behavior prompting system in an embodiment of the invention.
Detailed Description
The invention is described in further detail below with reference to the accompanying examples.
an unsafe behavior modification system as shown in FIG. 1, comprising
The headset is carried by a user along with the voice and used for listening to the unsafe behavior voice prompt information sent by the hidden danger information processing module of the server;
The machine vision camera is arranged in a working site and used for shooting user behavior image information and sending the user behavior image information to the machine vision image processing module of the server, and the machine vision image processing module of the server identifies whether the behavior of the user is unsafe;
the server comprises a machine vision image processing module, a hidden danger information processing module, an unsafe behavior and voice library, a personnel behavior report database, a state report module, a related hidden danger database and a related hidden danger calculation module, wherein the machine vision image processing module, the hidden danger information processing module, the unsafe behavior and voice library, the personnel behavior report database, the state report module, the related hidden danger database and the related hidden danger calculation
The machine vision image processing module is used for processing user behavior image information transmitted by the machine vision camera, identifying the identity of the user, obtaining whether the user carries out unsafe behaviors or not and the place where the unsafe behaviors are carried out, and sending the unsafe behaviors of the user to the hidden danger information processing module;
the hidden danger information processing module is used for sending the unsafe behaviors and the corresponding voice information in the voice library to the earphone corresponding to a certain user under the assistance of the unsafe behaviors and the voice library after acquiring the unsafe behaviors of the certain user from the machine vision image processing module, and reminding the user of paying attention to the unsafe behaviors;
the unsafe behavior and voice library is used for storing various unsafe behaviors and corresponding standard voice information for reminding various unsafe behaviors;
The personnel behavior report database is used for recording unsafe behavior information of the user, and the information of the personnel behavior report database is acquired from the machine vision image processing module;
The association hidden danger database is used for defining, storing, increasing and updating the hidden dangers corresponding to various unsafe behaviors;
The association hidden danger computing module is used for discriminating whether the unsafe behaviors of the user have hidden dangers corresponding to the unsafe behaviors of the user and pushing the hidden dangers to the headset of the user as warning information to remind the user of paying attention;
The status report module is used for initiating and managing a status report, and the content of the status report at least comprises an operator name, operation time and a hidden danger name; the state reporting module can be initiated by other users or by the user himself, and once the user finds hidden danger in an industrial place, the state reporting module of the server can be called to initiate a state report; the categories of the hidden dangers comprise common hidden dangers and major hidden dangers, when a user initiates a state report, whether the hidden danger is the common hidden danger or the major hidden danger needs to be marked, and for the major hidden danger, a warning voice prompt needs to be given for the user to push warning voice to the headset of the user when the user moves to the vicinity of the hidden danger so that the user can listen to the warning voice; .
Claims (4)
1. An unsafe behavior prompting system is characterized by comprising
The headset is carried by a user along with the voice and used for listening to the unsafe behavior voice prompt information sent by the hidden danger information processing module of the server;
The machine vision camera is arranged in a working site and used for shooting user behavior image information and sending the user behavior image information to the machine vision image processing module of the server, and the machine vision image processing module of the server identifies whether the behavior of the user is unsafe;
the server comprises a machine vision image processing module, a hidden danger information processing module and an unsafe behavior and voice library, wherein
The machine vision image processing module is used for processing user behavior image information transmitted by the machine vision camera, identifying the identity of the user, obtaining whether the user carries out unsafe behaviors or not and the place where the unsafe behaviors are carried out, and sending the unsafe behaviors of the user to the hidden danger information processing module;
The hidden danger information processing module is used for sending the unsafe behaviors and the corresponding voice information in the voice library to the earphone corresponding to a certain user under the assistance of the unsafe behaviors and the voice library after acquiring the unsafe behaviors of the certain user from the machine vision image processing module, and reminding the user of paying attention to the unsafe behaviors;
And the unsafe behavior and voice library is used for storing various unsafe behaviors and corresponding standard voice information for reminding various unsafe behaviors.
2. The unsafe behavior prompting system of claim 1, wherein: the server also comprises a personnel behavior report database used for recording unsafe behavior information of the user, and the information of the personnel behavior report database is obtained from the machine vision image processing module.
3. An unsafe behavior prompting system according to claim 1 or 2, wherein: the server also comprises
The association hidden danger database is used for defining, storing, increasing and updating the hidden dangers corresponding to various unsafe behaviors;
and the association hidden danger calculation module is used for discriminating whether the unsafe behaviors of the user have hidden dangers corresponding to the unsafe behaviors, and pushing the hidden dangers to the headset of the user as warning information to remind the user of paying attention.
4. The unsafe behavior prompting system of claim 3, wherein: the server also comprises a status report module which is used for initiating and managing a status report, wherein the content of the status report at least comprises an operator name, operation time and a hidden danger name; the categories of the hidden dangers comprise common hidden dangers and major hidden dangers, when a user initiates a state report, whether the hidden danger is the common hidden danger or the major hidden danger needs to be marked, and for the major hidden danger, a warning voice prompt needs to be given for the user to push warning voice to the headset of the user when the user moves to the vicinity of the hidden danger so that the user can listen to the warning voice.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201810569815.XA CN110570623A (en) | 2018-06-05 | 2018-06-05 | unsafe behavior prompt system |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201810569815.XA CN110570623A (en) | 2018-06-05 | 2018-06-05 | unsafe behavior prompt system |
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| CN110570623A true CN110570623A (en) | 2019-12-13 |
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| CN201810569815.XA Pending CN110570623A (en) | 2018-06-05 | 2018-06-05 | unsafe behavior prompt system |
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| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN111177468A (en) * | 2019-12-19 | 2020-05-19 | 杭州电子科技大学 | Laboratory personnel unsafe behavior safety inspection method based on machine vision |
| CN115280395A (en) * | 2020-03-31 | 2022-11-01 | 株式会社小松制作所 | Detection system and detection method |
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| CN115280395A (en) * | 2020-03-31 | 2022-11-01 | 株式会社小松制作所 | Detection system and detection method |
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