CN117893085A - Intelligent workshop digital production line monitoring management system based on cloud platform - Google Patents
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Abstract
The invention discloses a cloud platform-based intelligent workshop digital production line monitoring management system, which relates to the technical field of intelligent workshop digitization and comprises an identity management unit, a database management unit and a database management unit, wherein the identity management unit is used for carrying out identity authentication on a workshop flow and acquiring workshop management authority of identity information of a login person according to the identity information of the login person; the health management unit is used for regularly collecting staff body data and sending the body data to the cradle head unit; the flow control unit sprays bar code marks on the workpiece according to the production process links, the quality grades and the personnel identity information; and acquiring workshop management authorities of the identity information of the login personnel according to the identity information of the login personnel, correspondingly opening authorities of the login personnel with different work identities, protecting production information of a workshop production line while reducing the operation amount, avoiding production information leakage, and acquiring body data of staff according to the health management unit in real time.
Description
Technical Field
The invention relates to the technical field of intelligent workshop digitization, in particular to a cloud platform-based intelligent workshop digitization production line monitoring management system.
Background
Along with the development of scientific technology, the traditional manufacturing is upgraded into intelligent manufacturing, and as the intelligent manufacturing has high automation degree and high production efficiency, various enterprises compete with each other to input research and development forces for developing the intelligent manufacturing. At present, more and more production workshops adopt a production mode of a digital production line, and intelligent equipment is utilized to collect and monitor and manage information of the production line, so that the production efficiency is improved, the labor intensity of workers is reduced, and the labor cost is saved; intelligent workshop digital production line based on cloud platform also receives more and more attention from enterprises.
At present, the invention in China with the application number of CN 108647792A discloses an intelligent workshop digital production line information acquisition and monitoring management system based on a cloud platform, and the data in a cloud platform A, a cloud platform B and a cloud platform C are directly searched through a client, so that the client is prevented from searching massive data of a secondary cloud platform, the query efficiency is greatly improved, the query is convenient, but the information of a workshop production line is totally disclosed, the information of the workshop production line is difficult to keep secret, the production information is easy to leak, only products on the workshop production line are managed, the physical state of staff is not managed, and the physical state of the staff has a direct influence on the yield of production.
Disclosure of Invention
The invention solves the technical problems that: the information of the workshop production line is totally disclosed in the related art, the information of the workshop production line is difficult to keep secret, the production information is easy to leak, only products on the workshop production line are managed, the physical state of staff is not managed, and the physical state of the staff has direct influence on the yield of production.
In order to solve the technical problems, the invention provides the following technical scheme: the intelligent workshop digital production line monitoring management system based on the cloud platform comprises an identity management unit, a control unit and a control unit, wherein the identity management unit is used for carrying out identity authentication on a workshop flow and acquiring workshop management authority of identity information of a login person according to the identity information of the login person; the health management unit is used for regularly collecting staff body data and sending the body data to the cradle head unit; the flow control unit sprays bar code marks on the workpiece according to the production process links, the quality grades and the personnel identity information; the data acquisition unit is used for identifying the bar code mark, acquiring bar code information and sending the bar code information to the cradle head unit; the quality management unit is used for carrying out quality inspection on the workpiece according to the production process links, evaluating the quality grade, and sending the production process links, the quality grade and personnel identity information to the holder unit; the cloud deck unit opens corresponding management information and monitoring information of the flow control unit and the data acquisition unit according to workshop management authority of the identity information of the login staff, feeds back care advice to the health management unit according to the body data, sends first detection information to the quality management unit, carries out key detection on a workpiece marked by a bar code containing the identity information of the staff, feeds back second detection information to the cloud deck unit, and sends post advice information or education and training information to a direct lead of the staff according to the second detection information.
As a preferable scheme of the intelligent workshop digital production line monitoring management system based on the cloud platform, the intelligent workshop digital production line monitoring management system based on the cloud platform comprises the following components: the login personnel identity information comprises operator information, line production management personnel information and quality management personnel information;
the identity management unit is connected with an input end, the input end is used for receiving a login request of a terminal person, the login request comprises login person identity information, and the identity management unit retrieves stored operator information, line production management person information and quality management person information according to the login person identity information and matches the login person identity information with the operator information, the line production management person information and the quality management person information;
and developing workshop management authorities according to the matching result, wherein the workshop management authorities comprise a first authority, a second authority and a third authority.
As a preferable scheme of the intelligent workshop digital production line monitoring management system based on the cloud platform, the intelligent workshop digital production line monitoring management system based on the cloud platform comprises the following components: : the first authority is matched with the information of the operator, and the first authority only allows the operator to view and operate the production process links;
the second authority is matched with the information of the line management personnel, and the second authority production line only allows to check and operate each production process link of the line where the line management personnel are located;
the third authority is matched with the quality manager information, and allows each production process link of all production lines to be checked and operated.
As a preferable scheme of the intelligent workshop digital production line monitoring management system based on the cloud platform, the intelligent workshop digital production line monitoring management system based on the cloud platform comprises the following components: the health management unit is respectively connected with the temperature measurement module, the heart rate detection module and the electromyographic signal detection module, the temperature measurement module, the heart rate detection module and the electromyographic signal detection module collect staff body data at regular time, acquire staff body temperature information, heart rate information and electromyographic signal information, and send the body temperature information, the heart rate information and the electromyographic signal information to the cradle head unit, and the cradle head unit calls corresponding staff body information to judge the body state of staff.
As a preferable scheme of the intelligent workshop digital production line monitoring management system based on the cloud platform, the intelligent workshop digital production line monitoring management system based on the cloud platform comprises the following components: the cradle head unit compares the body temperature information with a first body temperature threshold value and a second body temperature threshold value, and the first body temperature threshold value is lower than the second body temperature threshold value;
if the body temperature information is larger than a first body temperature threshold, the cradle head unit sends the care advice to the health management unit, and the health management unit broadcasts the care advice through a microphone to prompt staff to rest;
if the body temperature information is larger than the second body temperature threshold value, the cradle head unit sends a care suggestion to the health management unit, the health management unit broadcasts the care suggestion through a microphone in a voice mode, prompts staff to rest, sends the body temperature of the staff to a line production management staff and a medical staff, the line production management staff redistributes the work tasks of the staff, and performs forced rest, and meanwhile the medical staff performs physical examination on the staff;
the cradle head unit compares the heart rate information with a heart rate threshold value;
if the heart rate information is greater than a heart rate threshold;
the cradle head unit sends information to the quality management unit, and performs key detection on the work piece of the staff.
As a preferable scheme of the intelligent workshop digital production line monitoring management system based on the cloud platform, the intelligent workshop digital production line monitoring management system based on the cloud platform comprises the following components: the step of judging the electromyographic signals by the cradle head unit comprises the following steps:
collecting electromyographic signals of staff in muscle fatigue as reference signals, and drawing a reference electromyographic signal diagram;
extracting reference characteristics of a reference electromyographic signal diagram by using a waveform extraction algorithm;
acquiring a current electromyographic signal of an employee, and drawing a current electromyographic signal frequency chart;
sampling the current electromyographic signal frequency chart at intervals to obtain sampling information, wherein the mathematical expression is as follows;
wherein,representing the sampling interval, X (n) representing a set of finite number of signal samples, X (k) representing a set of finite number of spectral samples, nk representing the cut-out lengthE represents the base of the natural logarithm, i is the imaginary unit, and the N point represents the frequency interval [0,2N ]]Sampling at intervals;
extracting waveform characteristics of the sampling information through wavelet transformation to obtain sampling characteristics;
clustering the sampling feature and the reference feature, calculating Euclidean distance,
judging whether the muscle fatigue occurs according to the Euclidean distance;
comparing the Euclidean distance with a reference value, and if the Euclidean distance is smaller than the reference value, indicating that the staff is tired in the current muscle;
if muscle fatigue occurs to staff, the cradle head unit sends the body temperature of the staff to a line production management staff and a medical staff, and the line production management staff redistributes the work tasks of the staff and performs forced rest.
As a preferable scheme of the intelligent workshop digital production line monitoring management system based on the cloud platform, the intelligent workshop digital production line monitoring management system based on the cloud platform comprises the following components: the quality management unit is used for carrying out quality inspection on the workpiece according to the production process links and evaluating the quality grade;
the quality grade comprises excellent, good, qualified and poor;
the quality management unit receives the first detection information sent by the holder unit, inquires a workpiece with the employee bar code information according to the personnel identity information, performs key detection on the workpiece containing the employee bar code information, generates second detection information according to a detection result, and sends the second detection information to the holder unit.
As a preferable scheme of the intelligent workshop digital production line monitoring management system based on the cloud platform, the intelligent workshop digital production line monitoring management system based on the cloud platform comprises the following components: the bar code mark comprises workpiece coding information, time information, employee information, production process link information and quality grade information, and the process control unit controls the code sprayer to spray bar code marks on the workpiece, and then uploads the workpiece coding information, the time information, the employee information, the production process link information and the quality grade information to the holder unit, so that the workpiece enters the next production link.
As a preferable scheme of the intelligent workshop digital production line monitoring management system based on the cloud platform, the intelligent workshop digital production line monitoring management system based on the cloud platform comprises the following components: the data acquisition unit monitors staff and workpieces in real time through a camera;
the method comprises the steps that a workpiece enters a new production link, a camera is intercepted to shoot a picture with bar code information in a video, and an area where the bar code information is located is extracted and amplified through edge detection;
identifying bar code information of a workpiece to obtain coding information, time information, employee information, production process link information and quality grade information;
after the work is finished, the staff information, the production process link information and the quality grade information are updated, a new bar code mark is generated, the old bar code mark is erased, and the new bar code mark is sprayed on the work.
As a preferable scheme of the intelligent workshop digital production line monitoring management system based on the cloud platform, the intelligent workshop digital production line monitoring management system based on the cloud platform comprises the following components: the cradle head unit receives the employee body data, the monitoring information and the second detection information, and suggests information for the posts of the employee in combination with the working condition of the employee;
the staff body data comprise body temperature information, heart rate information and electromyographic signal information which are collected by the health management unit;
the working conditions comprise a staff good position, a receiving position and an unacceptable position;
the cradle head unit acquires the current position information which can be exchanged, and sends position suggestion information to the line production management personnel according to the staff's good position and the receiving position.
The invention has the beneficial effects that: according to the workshop management authority of obtaining the identity information of the login personnel after the identity information of the login personnel, the corresponding open authority of the login personnel with different work identities is beneficial to reducing the operation amount, meanwhile, production information of a workshop production line is protected, production information leakage is avoided, meanwhile, body data of staff can be acquired according to the fact that a health management unit can be used for real-time monitoring of the body state of the staff, staff with abnormal body state can be timely found out, health of the staff is cared, and quality management unit is adjusted based on the body data, quality of work pieces produced by the staff when the body is abnormal is mainly checked, finding out bad work pieces in time is facilitated, and yield is improved.
The staff's workstation can be adjusted according to staff's physical data, monitoring information and second detection information, makes the staff distribute the workstation that oneself liked as far as possible, makes the management more humanized, can adjust the workstation fast to the line management personnel who is unfamiliar with staff on the line simultaneously, and is more intelligent and humanized to staff's management, is favorable to improving work efficiency.
Drawings
Fig. 1 is a schematic basic structure diagram of a monitoring and management system of a smart workshop digital production line based on a cloud platform according to an embodiment of the present invention.
Detailed Description
In order to make the objects, features and advantages of the present invention more comprehensible, the technical solutions in the embodiments of the present invention are described in detail below with reference to the accompanying drawings, and it is apparent that the embodiments described below are only some embodiments of the present invention, but not all embodiments of the present invention. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
Referring to fig. 1, for one embodiment of the present invention, a cloud platform-based intelligent workshop digitalized production line monitoring management system is provided, which includes an identity management unit, configured to perform identity authentication on a workshop flow, and obtain workshop management authority of identity information of a login person according to the identity information of the login person; the identity management unit is used for carrying out identity authentication on the workshop process, acquiring workshop management authority of the identity information of the login personnel according to the identity information of the login personnel, logging in from the identity management unit by inputting the information of the login personnel, carrying out identity authentication, determining the identity information of the login personnel, acquiring the workshop management authority of the identity information of the login personnel according to the identity information of the login personnel, and correspondingly opening authorities of the login personnel with different industrial identities, thereby being beneficial to protecting production information of a workshop production line and avoiding leakage of the production information while reducing the operation amount.
The health management unit is used for regularly collecting staff body data and sending the body data to the cradle head unit; the health management unit can collect the physical data of the staff in real time, monitor the physical state of the staff, discover the staff with abnormal physical state in time and care the health of the staff.
The flow control unit sprays bar code marks on the workpiece according to the production process links, the quality grades and the personnel identity information; the production process links, the quality grades and the personnel identity information are sent to the holder unit when the workpieces are code-sprayed and marked, the holder unit is used for carrying out flow record, the workpieces with problems in quality can be conveniently and subsequently inquired through code-spraying and marking of the workpieces, corresponding operation links and operators are inquired, quality monitoring and personnel monitoring are enabled to be finer, and the improvement of the yield of the workpieces is facilitated.
The quality management unit is used for carrying out quality inspection on the workpiece according to the production process links, evaluating the quality grade, and sending the production process links, the quality grade and personnel identity information to the holder unit; the quality record is carried out through the cradle head unit, so that the quality inspection of the workpiece after the work is carried out on the staff is facilitated, and the quality of the workpiece is determined.
The cloud deck unit opens corresponding management information and monitoring information of the flow control unit and the data acquisition unit according to workshop management authority of the identity information of the login personnel, is beneficial to reducing the operation amount, and meanwhile protects production information of a workshop production line and avoids production information leakage; and feeding back care advice to the health management unit according to the body data, sending first detection information to the quality management unit, carrying out key detection on a workpiece marked by a bar code containing personnel identity information of the staff by the quality management unit, feeding back second detection information to the holder unit, and sending post advice information or education and training information to the direct lead of the staff according to the second detection information. Monitoring the physical state of staff is favorable for timely finding staff with abnormal physical state, caring staff health, adjusting a quality management unit based on the physical data, and mainly checking quality of workpieces produced by the staff when the body is abnormal, so that the quality of defective workpieces is favorable for timely finding out, the yield is improved, if the workpieces marked by bar codes containing staff identity information of the staff, namely the workpieces marked by staff, are poor in quality continuously, a tripod head unit sends post suggestion information or education training information to a direct lead of the staff, the direct lead of the staff decides to adjust the post of the staff according to the on-site situation, changes a competent post, or trains, the working capacity of the staff is timely strengthened, and the yield of the workpieces is favorable for improving.
In some embodiments of the present invention, the login personnel can log in by means of a tablet magnetic card, or a fingerprint, or a job number encryption code.
The login personnel identity information comprises operator information, line production management personnel information and quality management personnel information; the production line manager information is a direct lead of the worker information.
The identity management unit is connected with an input end, the input end is used for receiving a login request of a terminal person, the login request comprises login person identity information, and the identity management unit retrieves stored operator information, line production management person information and quality management person information according to the login person identity information and matches the login person identity information with the operator information, the line production management person information and the quality management person information;
and developing workshop management authorities according to the matching result, wherein the workshop management authorities comprise a first authority, a second authority and a third authority.
In some embodiments of the invention, employees include operators, production line managers, and quality managers.
The first authority is matched with the information of the operator, and the first authority only allows the operator to view and operate the production process links;
the second right production line manager information is matched, and the second right production line only allows to check and operate each production process link of the production line where the production line manager is located;
the third authority is matched with the quality manager information, and allows each production process link of all production lines to be checked and operated.
In some embodiments of the invention, according to the workshop management authority of the identity information of the login personnel obtained after the identity information of the login personnel, the corresponding open authorities of the login personnel with different industrial identities are beneficial to reducing the operation amount, and meanwhile, the production information of the workshop production line is protected, and the leakage of the production information is avoided.
The first authority is matched with the information of the operator, and the first authority only allows the operator to view and operate the production process links;
the second authority is matched with the information of the line management personnel, and the second authority production line only allows to check and operate each production process link of the line where the line management personnel are located;
the third authority is matched with the quality manager information, and allows each production process link of all production lines to be checked and operated.
The health management unit is respectively connected with the temperature measurement module, the heart rate detection module and the electromyographic signal detection module, the temperature measurement module, the heart rate detection module and the electromyographic signal detection module collect staff body data at regular time, acquire staff body temperature information, heart rate information and electromyographic signal information, and send the body temperature information, the heart rate information and the electromyographic signal information to the cradle head unit, and the cradle head unit calls corresponding staff body information to judge the body state of staff.
In some embodiments of the present invention, the temperature measurement module, the heart rate detection module and the electromyographic signal detection module preferably adopt existing smart bracelets and electromyographic signal sensors with body temperature detection function and heart rate detection function, and the smart bracelets and the electromyographic signal sensors are wirelessly connected with the health management unit to input collected body temperature data, heart rate data and electromyographic signal data into the cradle head unit.
The cradle head unit compares the body temperature information with a first body temperature threshold value and a second body temperature threshold value, and the first body temperature threshold value is lower than the second body temperature threshold value;
if the body temperature information is larger than a first body temperature threshold, the cradle head unit sends the care advice to the health management unit, and the health management unit broadcasts the care advice through a microphone to prompt staff to rest; the staff is cared in time, the home feeling of the staff is improved, and the production efficiency of the staff is improved.
If the body temperature information is larger than the second body temperature threshold value, the cradle head unit sends a care suggestion to the health management unit, the health management unit broadcasts the care suggestion through a microphone in a voice mode, prompts staff to rest, sends the body temperature of the staff to a line production management staff and a medical staff, the line production management staff redistributes the work tasks of the staff, and performs forced rest, and meanwhile the medical staff performs physical examination on the staff; the line production manager notifies the medical staff of the actual situation on site, for example: the common influenza is not required to be notified to medical staff, and if the common influenza is accompanied with dizziness and vomiting, the common influenza is required to be notified to the medical staff.
The temperature information, the heart rate information and the electromyographic signal information of staff in muscle fatigue are pre-processed, influenza caused by some bacterial viruses can cause the temperature rise and the heart rate to be accelerated, and the fever caused by the bacterial viruses is serious and needs to be rested.
The cradle head unit compares the heart rate information with a heart rate threshold value;
if the heart rate information is greater than a heart rate threshold;
the cloud deck unit sends information to the quality management unit and performs key detection on the work piece of the staff;
the heart rate is high to indicate staff's emotion is excited or is nervous, and when staff is excited in emotion, rough and careless work can appear in the work method often, and the work piece of production often has various forms of harmfulness, can monitor staff's emotion through detecting staff's heart rate, if heart rate information is greater than heart rate threshold value, cloud deck unit sends information to quality management unit, carries out focus detection to the work piece operated by this staff, can in time discover bad work piece, avoids bad work piece to get into in the production link of follow-up.
The cradle head unit sends detection information to the quality management unit and the line production management personnel, so that the line production management personnel can timely grasp the states of the staff and timely care the staff, and the staff can recover emotion as soon as possible and perform normal production.
The cloud deck unit is respectively connected with the identity management unit, the health management unit, the quality management unit, the flow control unit and the data acquisition unit through the communication unit;
the cradle head unit judges the electromyographic signals;
collecting electromyographic signals of staff in muscle fatigue as reference signals, and drawing a reference electromyographic signal diagram;
extracting reference characteristics of a reference electromyographic signal diagram by using a waveform extraction algorithm; the waveform extraction algorithm is wavelet transformation, and waveform characteristics in the reference electromyographic signal diagram are extracted through the wavelet transformation and serve as reference characteristics.
Acquiring a current electromyographic signal of an employee, and drawing a current electromyographic signal frequency chart; the electromyographic signal sensor is attached to the movable part of the staff limb and is in wireless connection with the health management unit, and the electromyographic signal sensor inputs the current collected electromyographic signals into the health management unit and then into the cradle head unit;
sampling the current electromyographic signal frequency diagram at intervals to obtain sampling samples, wherein the mathematical expression is as follows;
wherein,representing the sampling interval, X (n) representing a finite set of signal samples, X (k) representing a finite set of spectral samples, nk representing the length of the cut, e representing the base of the natural logarithm, i beingImaginary unit, N point represents frequency interval [0,2N]Sampling at intervals.
The current electromyographic signal frequency chart is sampled by changing the time of the sampling area, the sampling area is regarded as a window, the time of changing the sampling area is a sliding window, the current electromyographic signal frequency chart in the window is the content of sampling, the value of the interception length nk is changed, and the length of the sampling area can be adjusted.
Extracting waveform characteristics of the sampling information through wavelet transformation again to obtain sampling characteristics;
clustering the sampling features and the reference features, calculating Euclidean distance, wherein the smaller the Euclidean distance is, the more similar the Euclidean distance is, when the two vectors are completely consistent, the Euclidean distance is 0, a value of the Euclidean distance is artificially defined as a reference value, and if the Euclidean distance is smaller than the reference value, the current muscle fatigue of staff is represented; wherein the clustering process is a k-means algorithm.
Judging whether the muscle fatigue occurs according to the Euclidean distance;
if muscle fatigue occurs to staff, the cradle head unit sends the body temperature of the staff to line production management staff and medical staff, the line production management staff redistributes the work tasks of the staff and performs forced rest, so that the influence of the fatigue work on the physical health of the staff is avoided, and meanwhile, the scrapped workpieces generated during the fatigue work of the staff and the operation safety problem caused by the fatigue work are avoided.
The electromyographic signals can reflect the muscle fatigue condition of the staff, the staff works on the respective posts, all the staff needs to move a part of limbs to finish the work, the electromyographic signal sensor is attached to the movable part to collect the electromyographic signals of the staff, the electromyographic signals of the staff when the muscle fatigue of the staff is collected are collected in advance as reference signals, and a reference electromyographic signal diagram is drawn.
The quality management unit is used for carrying out quality inspection on the workpiece according to the production process links and evaluating the quality grade;
the quality grade comprises excellent, good, qualified and poor;
the quality management unit receives the first detection information sent by the holder unit, inquires a workpiece with the employee bar code information according to the personnel identity information, performs key detection on the workpiece containing the employee bar code information, generates second detection information according to a detection result, and sends the second detection information to the holder unit.
The bar code mark comprises workpiece coding information, time information, employee information, production process link information and quality grade information, and the process control unit controls the code sprayer to spray bar code marks on the workpiece, and then uploads the workpiece coding information, the time information, the employee information, the production process link information and the quality grade information to the holder unit, so that the workpiece enters the next production link. The first step of each link of the workpiece is to scan the code to acquire bar code information, and after the operation of an operator, the last step of each link is to spray bar code marks on the workpiece, and the workpiece is conveniently traced by recording the flow information of the workpiece.
In some embodiments of the present invention, after the staff performs the work on the workpiece, the process control unit controls the code sprayer to spray bar code marks on the workpiece, and then uploads the workpiece coding information, time information, staff information, production process link information and quality grade information to the holder unit, so that the workpiece enters the next production link. The time information, employee information, production process link information and quality grade information of each production process link can be recorded, and subsequent inquiry is facilitated.
The data acquisition unit monitors staff and workpieces in real time through a camera;
the workpiece enters a new production link, a camera is intercepted to shoot a picture with bar code information in a video, preferably, the picture is intercepted by screenshot software, and the area where the bar code information is located is extracted and amplified by edge detection;
identifying bar code information of a workpiece to obtain coding information, time information, employee information, production process link information and quality grade information;
after the work is completed, the employee information, the production process link information and the quality grade information are updated, a new bar code mark is generated, the old bar code mark is erased, and the new bar code mark is sprayed on the workpiece.
Meanwhile, the camera can monitor staff in real time, monitor the operation technique of the staff, timely find the problem of the staff operation technique, correct the problem, reduce the defect caused to the workpiece by the operation technique problem, be favorable for improving the yield of the workpiece, record the time information, staff information, production process link information and quality grade information of each production process link, facilitate the follow-up inquiry, trace the production process links of the defective workpiece and the operation technique causing the defective workpiece, correct the operators with nonstandard operation technique in time, and monitor the workpiece and the operator condition on each production process link of each production line in a workshop, thereby improving the production efficiency and the yield of the workpiece.
The cradle head unit receives the employee body data, the monitoring information and the second detection information, and suggests information for the posts of the employee in combination with the working condition of the employee;
the staff body data comprise body temperature information, heart rate information and electromyographic signal information which are collected by the health management unit;
the working conditions comprise a staff good position, a receiving position and an unacceptable position;
the cradle head unit acquires the current position information which can be exchanged, and sends position suggestion information to the line production management personnel according to the staff's good position and the receiving position.
The working posts on the same production line comprise feeding, primary assembling, primary quality inspection, secondary assembling, secondary quality inspection, code spraying, code wiping, material taking and packaging, each post is used for collecting information of the employee on the good posts, the receiving posts and the non-receiving posts in advance, the information is recorded in the cradle head unit along with the identity information of the employee, the information is recorded in the cradle head unit in comparison with the corresponding positions which can be qualified by each employee,
according to personnel's adjustment condition and task allocation plan, the production line all has the post information that can change every day, if staff appears that the body temperature rises like body temperature information is greater than second body temperature threshold value, cloud deck unit sends staff's body temperature to production line manager and medical personnel, and the circumstances that the work task of this staff of production line manager carries out the reassignment, cloud deck unit acquire the post information that can change at present, according to this staff's good at post and accept post and send post suggestion information to production line manager, and production line manager decides whether to carry out the post adjustment according to the scene condition. If the staff does at a certain position for a long time, the staff can have a dysphoria psychological state, the mood is violent at the position, the heart rate is accelerated, and the cradle head unit compares the heart rate information with a heart rate threshold value; if the heart rate information is greater than a heart rate threshold; the cradle head unit sends information to the quality management unit, and performs key detection on the work piece of the staff.
If the quality management unit detects a plurality of normal, good and qualified workpieces, the quality grade of the workpieces becomes poor after the operation of a certain staff, namely the staff cannot be qualified for the post, the quality management unit sends second detection information to the cradle head unit, the cradle head unit obtains the post information which can be exchanged currently, and sends post suggestion information to the line management staff according to the good post and the receiving post of the staff, and the line management staff decides whether to carry out post adjustment or not according to the field condition or carries out education training on the staff again.
Meanwhile, the cradle head unit acquires the current position information which can be exchanged, and sends position suggestion information to the line production manager according to the staff's good position and receiving position, and the line production manager decides whether to carry out position adjustment according to the site situation. The staff can be distributed to favorite posts as much as possible, management is more humanized, and meanwhile, line management staff unfamiliar with staff on a production line can quickly adjust posts, so that staff management is more intelligent and humanized, and work efficiency is improved.
The cradle head unit is respectively connected with the identity management unit, the health management unit, the flow control unit, the data acquisition unit and the quality management unit through one or more of WIFI/GPRS communication, 3G/4G communication or Bluetooth communication.
It should be appreciated that embodiments of the invention may be implemented or realized by computer hardware, a combination of hardware and software, or by computer instructions stored in a non-transitory computer readable memory. The methods may be implemented in a computer program using standard programming techniques, including a non-transitory computer readable storage medium configured with a computer program, where the storage medium so configured causes a computer to operate in a specific and predefined manner, in accordance with the methods and drawings described in the specific embodiments. Each program may be implemented in a high level procedural or object oriented programming language to communicate with a computer system. However, the program(s) can be implemented in assembly or machine language, if desired. In any case, the language may be a compiled or interpreted language. Furthermore, the program can be run on a programmed application specific integrated circuit for this purpose.
It should be noted that the above embodiments are only for illustrating the technical solution of the present invention and not for limiting the same, and although the present invention has been described in detail with reference to the preferred embodiments, it should be understood by those skilled in the art that the technical solution of the present invention may be modified or substituted without departing from the spirit and scope of the technical solution of the present invention, which is intended to be covered in the scope of the claims of the present invention.
Claims (10)
1. The intelligent workshop digital production line monitoring management system based on the cloud platform is characterized by comprising an identity management unit, wherein the identity management unit is used for carrying out identity authentication on a workshop flow and acquiring workshop management authority of identity information of login personnel according to the identity information of the login personnel;
the health management unit is used for regularly collecting staff body data and sending the body data to the cradle head unit;
the flow control unit sprays bar code marks on the workpiece according to the production process links, the quality grades and the personnel identity information;
the data acquisition unit is used for identifying the bar code mark, acquiring bar code information and sending the bar code information to the cradle head unit;
the quality management unit is used for carrying out quality inspection on the workpiece according to the production process links, evaluating the quality grade, and sending the production process links, the quality grade and personnel identity information to the holder unit;
the cloud deck unit opens corresponding management information and monitoring information of the flow control unit and the data acquisition unit according to workshop management authority of the identity information of the login staff, feeds back care advice to the health management unit according to the body data, sends first detection information to the quality management unit, carries out key detection on a workpiece marked by a bar code containing the identity information of the staff, feeds back second detection information to the cloud deck unit, and sends post advice information or education and training information to a direct lead of the staff according to the second detection information.
2. The cloud platform-based intelligent workshop digital production line monitoring management system as claimed in claim 1, wherein: the health management unit is respectively connected with the temperature measurement module, the heart rate detection module and the electromyographic signal detection module, the temperature measurement module, the heart rate detection module and the electromyographic signal detection module collect staff body data at regular time, acquire staff body temperature information, heart rate information and electromyographic signal information, and send the body temperature information, the heart rate information and the electromyographic signal information to the cradle head unit, and the cradle head unit calls corresponding staff body information to judge the body state of staff.
3. The cloud platform-based intelligent workshop digital production line monitoring management system as claimed in claim 2, wherein: the cradle head unit compares the body temperature information with a first body temperature threshold value and a second body temperature threshold value, and the first body temperature threshold value is lower than the second body temperature threshold value;
if the body temperature information is larger than a first body temperature threshold, the cradle head unit sends the care advice to the health management unit, and the health management unit broadcasts the care advice through a microphone to prompt staff to rest;
if the body temperature information is larger than the second body temperature threshold value, the cradle head unit sends a care suggestion to the health management unit, the health management unit broadcasts the care suggestion through a microphone in a voice mode, prompts staff to rest, sends the body temperature of the staff to a line production management staff and a medical staff, the line production management staff redistributes the work tasks of the staff, and performs forced rest, and meanwhile the medical staff performs physical examination on the staff;
the cradle head unit compares the heart rate information with a heart rate threshold value;
if the heart rate information is greater than a heart rate threshold;
the cradle head unit sends information to the quality management unit, and performs key detection on the work piece of the staff.
4. The cloud platform-based intelligent workshop digital production line monitoring management system as claimed in claim 2, wherein: the step of judging the electromyographic signals by the cradle head unit comprises the following steps:
collecting electromyographic signals of staff in muscle fatigue as reference signals, and drawing a reference electromyographic signal diagram;
extracting reference characteristics of a reference electromyographic signal diagram by using a waveform extraction algorithm;
acquiring a current electromyographic signal of an employee, and drawing a current electromyographic signal frequency chart;
sampling the current electromyographic signal frequency chart at intervals to obtain sampling information, wherein the mathematical expression is as follows;
wherein,represents a sampling interval, X (N) represents a set of finite signal sample values, X (k) represents a set of finite spectrum sample values, nk represents a truncated length, e represents a base of a natural logarithm, i is an imaginary unit, and N represents a frequency interval [0,2N ]]Sampling at intervals;
extracting waveform characteristics of the sampling information through wavelet transformation to obtain sampling characteristics;
clustering the sampling feature and the reference feature, calculating Euclidean distance,
judging whether the muscle fatigue occurs according to the Euclidean distance;
comparing the Euclidean distance with a reference value, and if the Euclidean distance is smaller than the reference value, indicating that the staff is tired in the current muscle;
if muscle fatigue occurs to staff, the cradle head unit sends the body temperature of the staff to a line production management staff and a medical staff, and the line production management staff redistributes the work tasks of the staff and performs forced rest.
5. The cloud platform-based intelligent workshop digital production line monitoring management system as claimed in claim 1, wherein: the quality management unit is used for carrying out quality inspection on the workpiece according to the production process links and evaluating the quality grade;
the quality grade comprises excellent, good, qualified and poor;
the quality management unit receives the first detection information sent by the holder unit, inquires a workpiece with the employee bar code information according to the personnel identity information, performs key detection on the workpiece containing the employee bar code information, generates second detection information according to a detection result, and sends the second detection information to the holder unit.
6. The cloud platform-based intelligent workshop digital production line monitoring management system as claimed in claim 1, wherein: the bar code mark comprises workpiece coding information, time information, employee information, production process link information and quality grade information, and the process control unit controls the code sprayer to spray bar code marks on the workpiece, and then uploads the workpiece coding information, the time information, the employee information, the production process link information and the quality grade information to the holder unit, so that the workpiece enters the next production link.
7. The cloud platform-based intelligent workshop digital production line monitoring management system as claimed in claim 1, wherein: the data acquisition unit monitors staff and workpieces in real time through a camera;
the method comprises the steps that a workpiece enters a new production link, a camera is intercepted to shoot a picture with bar code information in a video, and an area where the bar code information is located is extracted and amplified through edge detection;
identifying bar code information of a workpiece to obtain coding information, time information, employee information, production process link information and quality grade information;
after the work is finished, the staff information, the production process link information and the quality grade information are updated, a new bar code mark is generated, the old bar code mark is erased, and the new bar code mark is sprayed on the work.
8. The cloud platform-based intelligent workshop digital production line monitoring management system as claimed in claim 2, wherein: the cradle head unit receives the employee body data, the monitoring information and the second detection information, and suggests information for the posts of the employee in combination with the working condition of the employee;
the staff body data comprise body temperature information, heart rate information and electromyographic signal information which are collected by the health management unit;
the working conditions comprise a staff good position, a receiving position and an unacceptable position;
the cradle head unit acquires the current position information which can be exchanged, and sends position suggestion information to the line production management personnel according to the staff's good position and the receiving position.
9. The cloud platform-based intelligent workshop digital production line monitoring management system as claimed in claim 1, wherein: the login personnel identity information comprises operator information, line production management personnel information and quality management personnel information;
the identity management unit is connected with an input end, the input end is used for receiving a login request of a terminal person, the login request comprises login person identity information, and the identity management unit retrieves stored operator information, line production management person information and quality management person information according to the login person identity information and matches the login person identity information with the operator information, the line production management person information and the quality management person information;
and developing workshop management authorities according to the matching result, wherein the workshop management authorities comprise a first authority, a second authority and a third authority.
10. The cloud platform based intelligent workshop digital production line monitoring management system of claim 9, wherein: the first authority is matched with the information of the operator, and the first authority only allows the operator to view and operate the production process links;
the second authority is matched with the information of the line management personnel, and the second authority production line only allows to check and operate each production process link of the line where the line management personnel are located;
the third authority is matched with the quality manager information, and allows each production process link of all production lines to be checked and operated.
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113487231A (en) * | 2021-07-28 | 2021-10-08 | 无锡林科服饰有限公司 | Intelligent management system for cutting workshop and method for managing by using system |
Citations (9)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN204347600U (en) * | 2015-01-21 | 2015-05-20 | 河南中维电子科技有限公司 | A kind of production line Intelligent management control system |
| CN108549963A (en) * | 2018-02-22 | 2018-09-18 | 北京中建建筑设计院有限公司 | A kind of novel execution management method therefor based on BIM information flow standards |
| CN109684348A (en) * | 2017-10-18 | 2019-04-26 | 天津大唐国际盘山发电有限责任公司 | A kind of environmental protection equipment information management system |
| CN111126838A (en) * | 2019-12-23 | 2020-05-08 | 广东电网有限责任公司 | Intelligent engineering management system |
| CN114254982A (en) * | 2020-09-25 | 2022-03-29 | 益狐智造科技(武汉)有限公司 | Smart factory cloud management system |
| CN115471241A (en) * | 2022-10-13 | 2022-12-13 | 上海中商网络股份有限公司 | Food safety tracing method and system, electronic equipment and medium |
| CN116165980A (en) * | 2022-12-30 | 2023-05-26 | 兰州安钧电子科技有限公司 | Manufacturing factory management system based on digital twin platform |
| KR20230080186A (en) * | 2021-11-29 | 2023-06-07 | 안지영 | Construction site safety management monitoring system and method |
| CN116245412A (en) * | 2023-03-02 | 2023-06-09 | 河南中恺数字科技有限公司 | On-spot safety monitoring management system of building engineering |
-
2024
- 2024-01-17 CN CN202410065484.1A patent/CN117893085A/en active Pending
Patent Citations (9)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN204347600U (en) * | 2015-01-21 | 2015-05-20 | 河南中维电子科技有限公司 | A kind of production line Intelligent management control system |
| CN109684348A (en) * | 2017-10-18 | 2019-04-26 | 天津大唐国际盘山发电有限责任公司 | A kind of environmental protection equipment information management system |
| CN108549963A (en) * | 2018-02-22 | 2018-09-18 | 北京中建建筑设计院有限公司 | A kind of novel execution management method therefor based on BIM information flow standards |
| CN111126838A (en) * | 2019-12-23 | 2020-05-08 | 广东电网有限责任公司 | Intelligent engineering management system |
| CN114254982A (en) * | 2020-09-25 | 2022-03-29 | 益狐智造科技(武汉)有限公司 | Smart factory cloud management system |
| KR20230080186A (en) * | 2021-11-29 | 2023-06-07 | 안지영 | Construction site safety management monitoring system and method |
| CN115471241A (en) * | 2022-10-13 | 2022-12-13 | 上海中商网络股份有限公司 | Food safety tracing method and system, electronic equipment and medium |
| CN116165980A (en) * | 2022-12-30 | 2023-05-26 | 兰州安钧电子科技有限公司 | Manufacturing factory management system based on digital twin platform |
| CN116245412A (en) * | 2023-03-02 | 2023-06-09 | 河南中恺数字科技有限公司 | On-spot safety monitoring management system of building engineering |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113487231A (en) * | 2021-07-28 | 2021-10-08 | 无锡林科服饰有限公司 | Intelligent management system for cutting workshop and method for managing by using system |
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