CN114339145A - Enterprise operation closed-loop supervision method and system based on intelligent visualization - Google Patents
Enterprise operation closed-loop supervision method and system based on intelligent visualization Download PDFInfo
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Abstract
The invention discloses an enterprise operation closed-loop supervision method based on intelligent visualization, which relates to the technical field of monitoring systems and comprises the following steps: a supervisor supervises the operation conditions of the front and the back of an enterprise in real time through a monitoring camera device, and simultaneously intercepts videos or pictures with illegal behaviors and sends the videos or pictures to a supervision object; videos shot by the monitoring camera device are stored in a cloud, the masses acquire the cloud videos through WeChat small programs, and meanwhile videos or pictures with illegal behaviors are intercepted and sent to a supervision object; the AI monitoring camera device automatically identifies the violation behaviors of the enterprise in the operation process and pushes videos or pictures containing the violation behaviors to a supervision object; the supervision object instructs the enterprise to perform correction based on the received video or picture; the invention also discloses an enterprise operation closed-loop supervision system based on intelligent visualization, which is combined with the method, can realize the visual closed-loop supervision and intelligent snapshot in the enterprise operation process, and can remind practitioners to correct improper operation in time.
Description
Technical Field
The invention relates to the technical field of monitoring systems, in particular to an enterprise operation closed-loop supervision method and system based on intelligent visualization.
Background
The continuous deep development in the field of intelligent market supervision has produced profound influence to current supervision mode. Through the intelligent AI monitoring camera device, the mobile application and the WeChat small program, the perception and the evaluation of the public and the consumers to catering units, kitchen after a dining room and retail of drug insurance products can be realized, the consumers can participate in the sunshine co-treatment of food and drug, the supervision department is assisted to manage a majority of people as a majority of people, and the sunshine co-treatment of the participation of the whole society can be realized. Scientific and effective resource allocation is realized by supervision force, limited resources are concentrated in enterprises with major risks, the supervision range is continuously and continuously reduced, targeted supervision can be realized, and the supervision efficiency and effect are improved.
Disclosure of Invention
Aiming at the requirements and the defects of the prior art development, the invention provides an enterprise operation closed-loop supervision method and system based on intelligent visualization.
Firstly, the invention discloses an enterprise operation closed-loop supervision method based on intelligent visualization, and the technical scheme adopted for solving the technical problems is as follows:
an enterprise operation closed-loop supervision method based on intelligent visualization comprises the following supervision contents:
a supervision person supervises the operation conditions of a front office and a back office of an enterprise in real time through a monitoring camera device, simultaneously intercepts videos or pictures with illegal behaviors and sends the videos or pictures to a supervision object, and the supervision object instructs the enterprise to correct the videos or pictures based on the received videos or pictures;
secondly, videos shot by the monitoring camera device are stored in a cloud, the masses acquire the cloud videos through the WeChat applet, meanwhile, videos or pictures with illegal behaviors are intercepted and sent to a supervision object, and the supervision object instructs the enterprise to perform correction based on the received videos or pictures;
and (III) automatically identifying the illegal action of the enterprise in the operation process by the AI monitoring camera device, storing the video or picture containing the illegal action to the cloud end, and pushing the video or picture to a supervision object, wherein the supervision object carries out correction on the enterprise based on the received video responsibility.
Optionally, the supervisor/crowd intercepts the video or picture with the illegal behavior, sends the video or picture to the supervisory object through a micro-messaging applet or a mailbox, and the supervisory object checks the received video or picture based on the mobile terminal or the computer terminal and instructs the enterprise to correct the video or picture according to the video content or the picture information.
Optionally, the AI monitoring camera sends the video or picture containing the violation to the monitoring object through the WeChat applet or the mailbox, and the monitoring object checks the received video or picture based on the mobile terminal or the computer terminal and instructs the enterprise to correct according to the video content or the picture information.
Further optionally, videos or pictures which contain the violation and are intercepted by the monitoring personnel/masses/AI monitoring camera device are stored in the cloud;
for the same enterprise, when the cloud detects that the times of intercepting the same video or photo exceeds a set threshold value in a set period, the cloud reports the same video or photo to the industry and commerce department through a WeChat applet or a mailbox, and the industry and commerce department performs subsequent processing based on the principle of 'primary warning, secondary punishment and announcement'.
Secondly, the invention discloses an enterprise operation closed-loop supervision system based on intelligent visualization, and the technical scheme adopted for solving the technical problems is as follows:
an enterprise operation closed-loop supervision system based on intelligent visualization realizes that based on SOA framework system and micro-service framework system, specifically includes:
the monitoring camera device is deployed in an enterprise and used for monitoring the operation conditions of a foreground and a background of the enterprise, videos shot by the monitoring camera device are stored in a cloud end, a monitoring person monitors the operation conditions of the foreground and the background of the enterprise in real time through the monitoring camera device, meanwhile, videos or pictures with illegal behaviors are manually intercepted and stored in the cloud end and are sent to a monitoring object, and the monitoring object instructs the enterprise to correct based on the received videos or pictures;
the method comprises the steps that a WeChat applet deployed in a WeChat app acquires a cloud video through the WeChat applet, meanwhile, a video or picture with an illegal behavior is intercepted and stored in a cloud end, and the video or picture is sent to a supervision object, and the supervision object instructs an enterprise to correct the video or picture;
the AI monitoring camera device is deployed in an enterprise and used for monitoring the operation conditions of the foreground and the background of the enterprise, automatically identifies the illegal action of the enterprise in the operation process, stores videos or pictures containing the illegal action to the cloud end, and simultaneously pushes the videos or the pictures to a monitoring object, and the monitoring object instructs the enterprise to correct based on the received videos or pictures.
Optionally, the supervisor/crowd intercepts the video or picture with the illegal behavior, sends the video or picture to the supervisory object through a micro-messaging applet or a mailbox, and the supervisory object checks the received video or picture based on the mobile terminal or the computer terminal and instructs the enterprise to correct the video or picture according to the video content or the picture information.
Optionally, the AI monitoring camera sends the video or picture containing the violation to the monitoring object through the WeChat applet or the mailbox, and the monitoring object checks the received video based on the mobile terminal or the computer terminal and instructs the enterprise to correct according to the video content or the picture information.
Further optionally, for the same enterprise, when the cloud detects that the frequency of capturing the same video or photo exceeds a set threshold value in a set period, the cloud reports the same video or photo to the industry and commerce department through a WeChat applet or a mailbox, and the industry and commerce department performs subsequent processing based on the principle of 'primary warning, secondary punishment and announcement'.
Compared with the prior art, the enterprise operation closed-loop supervision method and system based on intelligent visualization has the beneficial effects that:
(1) the invention can realize visual closed-loop supervision and intelligent snapshot in the enterprise operation process, and the supervision process not only relates to enterprise supervision personnel, but also relates to social people so as to improve the supervision strength;
(2) according to the invention, while vast consumers know the enterprise dynamics in real time, real-time pushing can be carried out to the operation units and the monitoring personnel through AI illegal snapshot, so that the practitioner is reminded to correct improper operation in time, and the whole-course controllability of enterprise behaviors is ensured.
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FIG. 1 is a supervisory flow chart of the present invention.
Detailed Description
In order to make the technical scheme, the technical problems to be solved and the technical effects of the present invention more clearly apparent, the following technical scheme of the present invention is clearly and completely described with reference to the specific embodiments.
The first embodiment is as follows:
with reference to fig. 1, the present embodiment provides an enterprise operation closed-loop supervision method based on intelligent visualization, and the supervision contents include:
the method comprises the steps that (I) a supervisor supervises the operation conditions of a front office and a back office of an enterprise in real time through a monitoring camera device, meanwhile, the supervisor intercepts videos or pictures with illegal behaviors and sends the videos or the pictures to a supervision object through a WeChat small program or a mailbox, and the supervision object checks the received videos or pictures based on a mobile terminal or a computer terminal and accountably orders the enterprise to correct according to video content or picture information.
Videos shot by the monitoring camera device and videos or pictures intercepted by the monitoring personnel are stored in the cloud.
And (II) acquiring the cloud video by the masses through the micro-messaging applet, simultaneously intercepting the video or picture with the illegal behavior, sending the video or picture to the supervision object through the micro-messaging applet or the mailbox, checking the received video or picture by the supervision object based on the mobile terminal or the computer terminal, and commanding the enterprise to correct according to the video content or the picture information.
Videos or pictures intercepted by the masses are stored in the cloud.
And (III) automatically identifying the illegal action of the enterprise in the operation process by the AI monitoring camera device, storing the video or picture containing the illegal action to the cloud end, sending the video or picture to a supervision object through a WeChat small program or a mailbox, checking the received video or picture by the supervision object based on the mobile terminal or the computer terminal, and commanding the enterprise to correct according to the video content or picture information.
Videos or pictures containing the illegal behaviors and intercepted by the AI monitoring camera device are stored in a cloud.
For the same enterprise, when the cloud detects that the times of intercepting the same video or photo exceeds a set threshold value in a set period, the cloud reports the same video or photo to the industry and commerce department through a WeChat applet or a mailbox, and the industry and commerce department performs subsequent processing based on the principle of 'primary warning, secondary punishment and announcement'.
Example two:
with reference to fig. 1, the present embodiment provides an enterprise operation closed-loop monitoring system based on intelligent visualization, which is implemented based on an SOA architecture system and a micro-service architecture system, and specifically includes: the system comprises a monitoring camera device which is deployed in an enterprise and used for monitoring the operation conditions of the foreground and the background of the enterprise, a WeChat applet which is deployed in a WeChat app, and an AI monitoring camera device which is deployed in the enterprise and used for monitoring the operation conditions of the foreground and the background of the enterprise.
The video that surveillance camera device was shot is saved in the high in the clouds, and the supervisor supervises the preceding backstage operation condition of enterprise in real time through surveillance camera device, simultaneously, and manual intercepting has the video or the picture of violation action, sends to the supervision object through little letter applet or mailbox, and the supervision object looks over the video or the picture that receive based on mobile terminal or computer end to accountability enterprise corrects according to video content or picture information.
The method comprises the steps that a cloud video is obtained by the masses through a micro-messaging applet, meanwhile, videos or pictures with illegal behaviors are intercepted and sent to a supervision object through the micro-messaging applet or a mailbox, the supervision object looks up the received videos or pictures based on a mobile terminal or a computer terminal, and the enterprises are instructed to correct according to video content or picture information.
The AI monitoring camera device automatically identifies the illegal action of the enterprise in the operation process, and sends the video or picture containing the illegal action to the supervision object through a micro-communication small program or a mailbox, and the supervision object checks the received video based on the mobile terminal or the computer terminal and instructs the enterprise to correct according to the video content or the picture information.
For the same enterprise, when the cloud detects that the times of intercepting the same video or photo exceeds a set threshold value in a set period, the cloud reports the same video or photo to the industry and commerce department through a WeChat applet or a mailbox, and the industry and commerce department performs subsequent processing based on the principle of 'primary warning, secondary punishment and announcement'.
In summary, the enterprise operation closed-loop supervision method and system based on intelligent visualization can realize visual closed-loop supervision and intelligent snapshot in the enterprise operation process, enable vast consumers to master enterprise dynamics in real time, and remind practitioners to correct improper operation in time, so as to ensure the whole-course controllability of enterprise behaviors.
Based on the above embodiments of the present invention, those skilled in the art should make any improvements and modifications to the present invention without departing from the principle of the present invention, and therefore, the present invention should fall into the protection scope of the present invention.
Claims (8)
1. An enterprise operation closed-loop supervision method based on intelligent visualization is characterized in that the supervision content comprises the following steps:
a supervision person supervises the operation conditions of a front office and a back office of an enterprise in real time through a monitoring camera device, simultaneously intercepts videos or pictures with illegal behaviors and sends the videos or pictures to a supervision object, and the supervision object instructs the enterprise to correct the videos or pictures based on the received videos or pictures;
secondly, videos shot by the monitoring camera device are stored in a cloud, the masses acquire the cloud videos through the WeChat applet, meanwhile, videos or pictures with illegal behaviors are intercepted and sent to a supervision object, and the supervision object instructs the enterprise to perform correction based on the received videos or pictures;
and (III) automatically identifying the illegal action of the enterprise in the operation process by the AI monitoring camera device, storing the video or picture containing the illegal action to the cloud end, and pushing the video or picture to a supervision object, wherein the supervision object carries out correction on the enterprise based on the received video responsibility.
2. The method according to claim 1, wherein the video or the picture of the illegal action is intercepted by a supervisor/a crowd and sent to a supervisory object through a WeChat applet or a mailbox, and the supervisory object checks the received video or the picture based on a mobile terminal or a computer terminal and instructs the enterprise to perform correction according to video content or picture information.
3. The method according to claim 1, wherein the AI surveillance camera sends videos or pictures containing violations to the surveillance object through a WeChat applet or a mailbox, and the surveillance object views the received videos or pictures based on a mobile terminal or a computer terminal and instructs an enterprise to perform corrections according to video content or picture information.
4. The enterprise operation closed-loop supervision method based on intelligent visualization according to claim 2 or 3, characterized in that videos or pictures containing violation behaviors intercepted by a supervision personnel/crowd intercepting/AI monitoring camera device are stored in a cloud;
for the same enterprise, when the cloud detects that the times of intercepting the same video or photo exceeds a set threshold value in a set period, the cloud reports the same video or photo to the industry and commerce department through a WeChat applet or a mailbox, and the industry and commerce department performs subsequent processing based on the principle of 'primary warning, secondary punishment and announcement'.
5. The utility model provides an enterprise operation closed loop supervisory systems based on intelligent visualization which realizes based on SOA architecture system and little service architecture system, specifically includes:
the monitoring camera device is deployed in an enterprise and used for monitoring the operation conditions of a foreground and a background of the enterprise, videos shot by the monitoring camera device are stored in a cloud end, a monitoring person monitors the operation conditions of the foreground and the background of the enterprise in real time through the monitoring camera device, meanwhile, videos or pictures with illegal behaviors are manually intercepted and stored in the cloud end and are sent to a monitoring object, and the monitoring object instructs the enterprise to correct based on the received videos or pictures;
the method comprises the steps that a WeChat applet deployed in a WeChat app acquires a cloud video through the WeChat applet, meanwhile, a video or picture with an illegal behavior is intercepted and stored in a cloud end, and the video or picture is sent to a supervision object, and the supervision object instructs an enterprise to correct the video or picture;
the AI monitoring camera device is deployed in an enterprise and used for monitoring the operation conditions of the foreground and the background of the enterprise, automatically identifies the illegal action of the enterprise in the operation process, stores videos or pictures containing the illegal action to the cloud end, and simultaneously pushes the videos or the pictures to a monitoring object, and the monitoring object instructs the enterprise to correct based on the received videos or pictures.
6. The system according to claim 5, wherein the supervising personnel/masses intercept videos or pictures with illegal behaviors, send the videos or pictures to the supervising object through a WeChat applet or a mailbox, and the supervising object checks the received videos or pictures based on a mobile terminal or a computer terminal and instructs the enterprise to correct the behaviors according to video content or picture information.
7. The system according to claim 5, wherein the AI monitoring camera sends the video or picture containing the violation to the monitoring object through a WeChat applet or a mailbox, and the monitoring object views the received video based on a mobile terminal or a computer terminal and instructs the enterprise to perform the correction according to the video content or picture information.
8. The system according to claim 6 or 7, wherein for the same enterprise, when the cloud detects that the number of times of capturing the same video or photo exceeds a set threshold value in a set period, the cloud reports the number of times of capturing the same video or photo to the industry and commerce department through a WeChat applet or a mailbox, and the industry and commerce department performs subsequent processing based on the principle of 'first warning, second time punishment and announcement'.
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