CN116957257A - Power plant personnel production management system and management method thereof - Google Patents
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Abstract
The invention provides a power plant personnel production management system and a management method thereof, wherein the management method comprises the following steps: s1, a personnel management module: the corresponding record of the positioning and the punching of each person is realized through the combination of software and hardware; s2, a monitoring module: personnel on-line monitoring, wherein each worker is identified through each infrared camera arranged at the top of the workshop, and on-line monitoring is performed; s3, working hour calculation module: comparing S1 with S2, namely calculating the on-duty time of personnel through node data; s4, manual post adjustment: the time model of each working section is matched with corresponding personnel, so that the rotation of the personnel for adjusting the post is facilitated; s5, the data processor terminal: and (3) the data of the S1, the S2, the S3 and the S4 are transmitted back to the data processor terminal for processing, the obtained data are correspondingly displayed, and then the staff performs corresponding control operation.
Description
Technical Field
The invention provides the technical field of power plants, and mainly relates to a power plant personnel production management system and a management method thereof.
Background
A power plant refers to a power plant that converts some form of primary energy into electrical energy for stationary or transportation electricity, such as a thermal, hydraulic, steam, diesel or nuclear power plant, etc.
An existing power plant personnel management method is an intelligent production management system and method for optical fiber perform, for example, patent number CN201910636039.5, wherein the system comprises: the optical fiber preform processing and detecting device, the warehousing device and the background server are connected to the optical fiber preform processing and detecting device and the warehousing device to collect operation data of the optical fiber preform processing and detecting device and the warehousing device; the background server is provided with an input device and a display device; the input device and the display device are connected to the background server; the display device is used for displaying information to an operator; the input device is used for an operator to input instructions to check information or send control signals to the optical fiber preform processing detection device and the warehousing device. The hardware management system has the advantages that the provided hardware management system connects the optical fiber preform processing detection equipment and the warehousing equipment to the background server, and the operation data of the equipment are uploaded in real time, so that the intelligent degree of the whole optical fiber preform intelligent production management system is improved.
However, since the existing personnel management only controls the on-duty time and the off-duty time of the personnel, the technical problem of time personnel allocation on each post cannot be accurately achieved.
Disclosure of Invention
The invention mainly provides a power plant personnel production management system and a management method thereof, which are used for solving the technical problems in the background technology.
The technical scheme adopted for solving the technical problems is as follows: a power plant personnel production management system and a management method thereof comprise the following steps:
s1, a personnel management module: the corresponding record of the positioning and the punching of each person is realized through the combination of software and hardware;
s2, a monitoring module: personnel on-line monitoring, wherein each worker is identified through each infrared camera arranged at the top of the workshop, and on-line monitoring is performed;
s3, working hour calculation module: comparing S1 with S2, namely calculating the on-duty time of personnel through node data;
s4, manual post adjustment: the time model of each working section is matched with corresponding personnel, so that the rotation of the personnel for adjusting the post is facilitated;
s5, the data processor terminal: and (3) the data of the S1, the S2, the S3 and the S4 are transmitted back to the data processor terminal for processing, the obtained data are correspondingly displayed, and then the staff performs corresponding control operation.
Further, step S1 uses 5G and edge calculation, AI processing and machine vision technology to access the intelligent equipment into the 5G network, and carries out factory network monitoring video signal feedback through a 5G network link to realize face recognition, boundary early warning, personnel positioning, attendance management and personnel statistics;
further, the infrared camera in the step S1 performs face recognition, and performs face recognition in a living body detection mode; the living body detection mode adopts an optical flow method; determining the motion of each pixel position by utilizing the time domain change and the correlation of pixel intensity data in an image sequence, obtaining the operation information of each pixel point from the image sequence, and carrying out data statistical analysis by adopting a Gaussian differential filter, LBP characteristics and a support vector machine; meanwhile, the optical flow is sensitive to the movement of an object, the eyeball movement and blink can be uniformly detected by utilizing the optical flow field, and the living body detection mode can realize blind detection under the condition that staff is not matched;
the LBP algorithm can be expressed as an expression
Taking (xc, yc) as a central pixel, ic as the intensity of adjacent pixels, S as a function symbol, and the expression is:
a step of identification by means of the LBP feature vector,
(1) Firstly, dividing a detection window of an infrared camera into small areas of 32 x 32;
(2) Comparing gray values of 8 adjacent pixels with the gray value of one pixel in each cell, if the surrounding pixel values are smaller than the central pixel value, the position of the pixel point is marked as 0, otherwise, the position is 1, so that 8 points in the 3*3 adjacent region can generate 8-bit binary numbers through comparison, and the LBP value of the central pixel point of the window is obtained;
(3) Then calculating a histogram of each small region, namely the frequency of occurrence of each digit (assumed to be a decimal number LBP value), and then carrying out normalization processing on the histogram;
(4) Finally, connecting the obtained statistical histogram of each small region to form a feature vector, namely an LBP texture feature vector of the whole graph;
(5) And matching the LBP texture characteristic vector of the obtained whole graph with the LBP texture characteristic vector in the face recognition library to determine the identity of the staff.
Further, a model of each post time period is built, so that the vacant personnel and the vacant time periods thereof are calculated according to the expected post and leave of the personnel, and corresponding post adjustment is facilitated.
Compared with the prior art, the invention has the beneficial effects that:
according to the invention, the personnel management module is arranged, the personnel arriving condition is realized by utilizing the personnel matching mode in the personnel management module, the corresponding auxiliary monitoring is carried out through the monitoring module, the condition of the corresponding leave-out time period and the on-duty time condition can be clearly and clearly shown, finally, the set working time is matched with the personnel available time through manual post adjustment, and when leave-out occurs, the corresponding matching adjustment is carried out, so that the effect of accurately arriving at the post is achieved.
Detailed Description
In order that the invention may be more fully understood, several embodiments of the invention will be described below with reference to the accompanying drawings, but the invention may be embodied in various forms and is not limited to the embodiments described herein, but rather is provided in order that the disclosure may be more thorough.
An embodiment, a power plant personnel production management system and a management method thereof, comprising the following steps:
s1, a personnel management module: the positioning and card punching of each person are correspondingly recorded through the combination of software and hardware, intelligent equipment is connected into a 5G network through 5G and edge calculation, AI processing and machine vision technologies, and factory network monitoring video signal feedback is carried out through a 5G network link, so that face recognition, boundary early warning, person positioning, attendance management and person statistics are realized;
s2, a monitoring module: personnel on-line monitoring, wherein each worker is identified through each infrared camera arranged at the top of the workshop, and on-line monitoring is performed;
s3, working hour calculation module: comparing S1 with S2, namely calculating the on-duty time of personnel through node data;
s4, manual post adjustment: the time model of each working section is matched with corresponding personnel, so that the rotation of the personnel for adjusting the post is facilitated;
s5, the data processor terminal: the data of the S1, the S2, the S3 and the S4 are transmitted back to the data processor terminal for processing, the obtained data are correspondingly displayed, and then the staff performs corresponding control operation;
the infrared camera in the step S1 performs face recognition, and performs face recognition in a living body detection mode; the living body detection mode adopts an optical flow method; determining the motion of each pixel position by utilizing the time domain change and the correlation of pixel intensity data in an image sequence, obtaining the operation information of each pixel point from the image sequence, and carrying out data statistical analysis by adopting a Gaussian differential filter, LBP characteristics and a support vector machine; meanwhile, the optical flow is sensitive to the movement of an object, the eyeball movement and blink can be uniformly detected by utilizing the optical flow field, and the living body detection mode can realize blind detection under the condition that staff is not matched;
the LBP algorithm can be expressed as an expression
Taking (xc, yc) as a central pixel, ic as the intensity of adjacent pixels, S as a function symbol, and the expression is:
a step of identification by means of the LBP feature vector,
(1) Firstly, dividing a detection window of an infrared camera into small areas of 32 x 32;
(2) Comparing gray values of 8 adjacent pixels with the gray value of one pixel in each cell, if the surrounding pixel values are smaller than the central pixel value, the position of the pixel point is marked as 0, otherwise, the position is 1, so that 8 points in the 3*3 adjacent region can generate 8-bit binary numbers through comparison, and the LBP value of the central pixel point of the window is obtained;
(3) Then calculating a histogram of each small region, namely the frequency of occurrence of each digit (assumed to be a decimal number LBP value), and then carrying out normalization processing on the histogram;
(4) Finally, connecting the obtained statistical histogram of each small region to form a feature vector, namely an LBP texture feature vector of the whole graph;
(5) Matching the LBP texture feature vector of the obtained whole graph with the LBP texture feature vector in the face recognition library to determine the identity of the staff;
and establishing a model of each post time period, so that the vacant personnel and the vacant time periods thereof are calculated according to the estimated post and leave of the personnel, and the corresponding post adjustment is convenient.
While the invention has been described in connection with exemplary embodiments, it will be apparent that the practice of the invention is not limited thereto, but rather, it is intended to cover such insubstantial modifications as may be made by the method concepts and teachings of the invention, or as may be applied to other applications without modification, without departing from the scope of the invention.
Claims (5)
1. A power plant personnel production management system and a management method thereof are characterized in that: the method comprises the following steps:
s1, a personnel management module: the corresponding record of the positioning and the punching of each person is realized through the combination of software and hardware;
s2, a monitoring module: personnel on-line monitoring, wherein each worker is identified through each infrared camera arranged at the top of the workshop, and on-line monitoring is performed;
s3, working hour calculation module: comparing S1 with S2, namely calculating the on-duty time of personnel through node data;
s4, manual post adjustment: the time model of each working section is matched with corresponding personnel, so that the rotation of the personnel for adjusting the post is facilitated;
s5, the data processor terminal: and (3) the data of the S1, the S2, the S3 and the S4 are transmitted back to the data processor terminal for processing, the obtained data are correspondingly displayed, and then the staff performs corresponding control operation.
2. The power plant personnel production management system and the management method thereof according to claim 1, wherein: and step S1, the intelligent equipment is accessed into a 5G network by utilizing 5G and edge calculation, AI processing and machine vision technologies, and factory network monitoring video signal feedback is carried out through a 5G network link, so that face recognition, boundary early warning, personnel positioning, attendance management and personnel statistics are realized.
3. The power plant personnel production management system and the management method thereof according to claim 1, wherein: the infrared camera in the step S1 performs face recognition, and performs face recognition in a living body detection mode; the living body detection mode adopts an optical flow method; determining the motion of each pixel position by utilizing the time domain change and the correlation of pixel intensity data in an image sequence, obtaining the operation information of each pixel point from the image sequence, and carrying out data statistical analysis by adopting a Gaussian differential filter, LBP characteristics and a support vector machine; meanwhile, the optical flow is sensitive to the movement of an object, eyeball movement and blink can be uniformly detected by utilizing the optical flow field, and the living body detection mode can realize blind detection under the condition that staff are not matched.
4. A plant personnel production management system and a management method thereof according to claim 3, wherein:
the LBP algorithm can be expressed as an expression
Taking (xc, yc) as a central pixel, ic as the intensity of adjacent pixels, S as a function symbol, and the expression is:
a step of identification by means of the LBP feature vector,
(1) Firstly, dividing a detection window of an infrared camera into small areas of 32 x 32;
(2) Comparing gray values of 8 adjacent pixels with the gray value of one pixel in each cell, if the surrounding pixel values are smaller than the central pixel value, the position of the pixel point is marked as 0, otherwise, the position is 1, so that 8 points in the 3*3 adjacent region can generate 8-bit binary numbers through comparison, and the LBP value of the central pixel point of the window is obtained;
(3) Then calculating a histogram of each small region, namely the frequency of occurrence of each digit (assumed to be a decimal number LBP value), and then carrying out normalization processing on the histogram;
(4) Finally, connecting the obtained statistical histogram of each small region to form a feature vector, namely an LBP texture feature vector of the whole graph;
(5) And matching the LBP texture characteristic vector of the obtained whole graph with the LBP texture characteristic vector in the face recognition library to determine the identity of the staff.
5. The power plant personnel production management system and the management method thereof according to claim 1, wherein: and establishing a model of each post time period, so that the vacant personnel and the vacant time periods thereof are calculated according to the estimated post and leave of the personnel, and the corresponding post adjustment is convenient.
Priority Applications (2)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202310892513.7A CN116957257A (en) | 2023-07-20 | 2023-07-20 | Power plant personnel production management system and management method thereof |
| LU504993A LU504993B1 (en) | 2023-07-20 | 2023-08-24 | System and method for managing personnel in power plant in production |
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| CN202310892513.7A CN116957257A (en) | 2023-07-20 | 2023-07-20 | Power plant personnel production management system and management method thereof |
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