Factory production intelligent management and control system
By designing an intelligent factory production management and control system, the problems of existing systems being isolated from each other and data not being shared are solved, the integration and unified supervision of data is realized, and the production and operation management level and work efficiency are improved.
Patent Information
- Application Number
- CN202411412393.7
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2024-10-11
- Publication Date
- 2024-12-10
AI Technical Summary
The existing factory production management system lacks unified data sharing and integration, resulting in inconvenience in management, untimely and accurate data transmission, low work efficiency, and the systems are isolated from each other, making it difficult to achieve comprehensive production and operation management.
A factory production intelligent control system was designed, including personnel control system, equipment control system, goods control system and factory video control system. Each system is connected to the backend management module to realize the integration and unified supervision of data, and real-time data is carried out through modular design. Collect and analyze, providing comprehensive management and monitoring functions.
It has realized the unified supervision of personnel, equipment and goods in the factory, improved the level of production and operation management, improved the visibility of data and business controllability, and enhanced the production efficiency and timeliness of management.
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Figure CN119105438A_ABST
Abstract
Description
Technical Field
[0001] The present invention relates to the technical field of production control, and in particular to an intelligent factory production control system. Background Art
[0002] The development of industrial manufacturing is divided into three stages. The first stage is the automation stage, which adopts PLC, DCS and other technologies to improve the control accuracy and reliability of manufacturing equipment and reduce labor intensity. The second stage is the digitalization stage, which uses information systems, data collection, centralized automatic control and communication technologies to achieve dynamic monitoring and early warning of various indicators in the production field, realize the integration of technology, products and management, and achieve a refined level of production and operation management. The third stage uses 5G and Internet of Things technologies to achieve the interconnection of equipment and resources, achieve comprehensive perception in the field of production and operation management, and use digital twins and big data analysis technologies to achieve deep integration of the virtual and physical worlds, improve the intelligence level of the factory, make operation tracking more sensitive, production efficiency more efficient, and make decisions more timely and accurate.
[0003] At present, there are the following problems in production management:
[0004] 1. Lack of necessary production and operation management systems, such as cargo logistics tracking systems, yard inventory cargo measurement systems, etc. Production management still adopts traditional working methods such as on-site inspections, telephone contacts, report registration and summary, which results in low work efficiency, high error rate, and inaccurate and inadequate data transmission;
[0005] 2. Existing systems are isolated from each other and used by different units, and data is not shared, which makes management and use inconvenient;
[0006] 3. Data is scattered. Data in each system is scattered, which makes it difficult to integrate and use.
[0007] Therefore, in response to the above problems, an intelligent factory production management and control system is proposed. Summary of the invention
[0008] The purpose of the present invention is to provide a factory production intelligent control system, including a personnel control system, an equipment control system, a cargo control system, and a factory video control system. The personnel control system, the equipment control system, the cargo control system, and the factory video control system are all connected to a background management module:
[0009] Personnel management and control system: including personnel information entry module and comprehensive examination training module. The personnel information entry module includes basic information entry unit and attendance entry unit. The comprehensive examination training module includes pre-exam training unit, examination unit, score query unit and make-up examination unit.
[0010] The equipment management and control system includes an edge data analysis module, a power consumption data analysis module, an operation monitoring module, and a fault alarm module. The edge data analysis module, the power consumption data analysis module, and the operation monitoring module are all connected to the controller, and the controller is connected to the fault alarm module;
[0011] The cargo control system includes a yard intelligent metering module and a logistics intelligent tracking module. The yard intelligent metering module includes a yard division unit, a label numbering unit, a number query unit, and an in-and-out warehouse management unit. The yard division unit is connected to the label numbering unit, the label numbering unit is connected to the number query unit, and the number query unit is connected to the in-and-out warehouse management unit; the logistics intelligent tracking module includes a positioning unit and a data uploading unit;
[0012] The factory video control system includes a video input module, a dynamic face recognition module, a personnel and vehicle recognition module, a feature recognition module, and an abnormal alarm module. The video input module is respectively connected to the dynamic face recognition module, the personnel and vehicle recognition module, and the feature recognition module. The dynamic face recognition module, the personnel and vehicle recognition module, and the feature recognition module are respectively connected to the abnormal alarm module.
[0013] Preferably, the basic information entry unit includes the entry of information on the name, age, ID number, home address, contact number, position, time of employment, and years of work experience of management personnel, production area personnel, cargo management area personnel, video management area personnel, and security personnel.
[0014] Preferably, the pre-exam training unit includes registration and login of the examinee, and after login, corresponding learning videos and after-class exercises are sent according to the examinee's position;
[0015] The test unit can specify test questions based on the examinee's position and previous learning videos, making it easier for the examinee to take the test online;
[0016] The score query unit is capable of querying test scores;
[0017] The re-examination unit provides a re-examination opportunity for examinees who fail the test.
[0018] Preferably, the edge data analysis module is responsible for accessing the operation and fault data of the equipment, analyzing and processing in real time and transmitting the data to the controller. If the controller obtains the fault data, it controls the fault alarm module to alarm.
[0019] The power consumption data analysis module is responsible for collecting the energy consumption and power safety data of the equipment, analyzing and processing them in real time and transmitting them to the controller. If the controller obtains abnormal power consumption data, it will control the fault alarm module to alarm;
[0020] The operation monitoring module is used to monitor the operation of the production equipment and transmit the monitoring video to the background management module in real time for the management personnel to view;
[0021] The fault alarm module can easily alarm faulty equipment.
[0022] Preferably, the yard division unit divides the yard into several areas to facilitate monitoring of goods in the yard;
[0023] The label numbering unit affixes magnetic labels to the goods in each area and numbers the magnetic labels in sequence to facilitate querying the goods;
[0024] The number query unit can query the number and display the area where the goods are located;
[0025] The warehouse entry and exit management unit is that after the warehouse keeper gets the material collection list, he takes out the label recognition machine, reads the label of the queried area, and checks whether it is the goods he wants to pick up.
[0026] Preferably, the positioning unit performs real-time positioning of the truck GPS and transmits the positioning information to the background management module, so as to facilitate real-time monitoring of the truck transportation route;
[0027] The data uploading unit allows the truck driver to scan the code at regular intervals to report the location information and register the cargo information, so as to facilitate the real-time monitoring of the truck transportation route.
[0028] Preferably, the video input module is capable of performing video surveillance on various areas within the factory;
[0029] The dynamic face recognition module can dynamically recognize faces in the video surveillance screen, transmit the face information of non-factory internal personnel to the abnormal alarm module, and issue an abnormal alarm through the abnormal alarm module;
[0030] The personnel and vehicle identification module can identify vehicles in the video surveillance screen, and transmit the information of vehicles that appear less than 3 times to the abnormal alarm module, and the abnormal alarm module will issue an abnormal alarm;
[0031] The feature recognition module can identify large packages carried by people in the video surveillance screen. If a package larger than a preset size appears, it will be transmitted to the abnormal alarm module, and an abnormal alarm will be issued through the abnormal alarm module.
[0032] Compared with the prior art, the beneficial effects of the present invention are as follows: by connecting the personnel control system, equipment control system, cargo control system, and factory video control system to the background management module respectively, the present invention can supervise the personnel, equipment, cargo and the entire factory area, realize the integration and unification of factory data, visualize the status, manageable business, and controllable events, thereby improving the level of production and operation management. BRIEF DESCRIPTION OF THE DRAWINGS
[0033] Figure 1 It is a schematic diagram of the system structure of the present invention. DETAILED DESCRIPTION
[0034] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.
[0035] As attached Figure 1 As shown, the present invention provides a factory production intelligent management and control system, including four parts: personnel management and control system, equipment management and control system, cargo management and control system, and factory area video management and control system:
[0036] Personnel management and control system: including personnel information entry module and comprehensive examination training module. The personnel information entry module includes basic information entry unit and attendance entry unit. The comprehensive examination training module includes pre-exam training unit, examination unit, score query unit and make-up examination unit.
[0037] The basic information input unit includes the input of information on the name, age, ID number, home address, contact number, position, time of employment, and years of service of management personnel, production area personnel, cargo management area personnel, video management area personnel, and security personnel;
[0038] The pre-exam training unit includes registration and login of the examinee, after which the corresponding learning videos and after-class exercises are sent according to the examinee's position;
[0039] The test unit can specify test questions based on the examinee's position and previous learning videos, making it easier for the examinee to take the test online;
[0040] The score query unit is capable of querying test scores;
[0041] The re-examination unit provides a re-examination opportunity for examinees who fail the test;
[0042] The equipment management and control system includes an edge data analysis module, a power consumption data analysis module, an operation monitoring module, and a fault alarm module. The edge data analysis module, the power consumption data analysis module, and the operation monitoring module are all connected to the controller, and the controller is connected to the fault alarm module;
[0043] The edge data analysis module is responsible for accessing the operation and fault data of the equipment, analyzing and processing them in real time and transmitting them to the controller. If the controller obtains the fault data, it controls the fault alarm module to alarm;
[0044] The power consumption data analysis module is responsible for collecting the energy consumption and power safety data of the equipment, analyzing and processing them in real time and transmitting them to the controller. If the controller obtains abnormal power consumption data, it will control the fault alarm module to alarm;
[0045] The operation monitoring module is used to monitor the operation of the production equipment and transmit the monitoring video to the background management module in real time for the management personnel to view;
[0046] The fault alarm module can easily alarm the faulty equipment;
[0047] The cargo control system includes a yard intelligent metering module and a logistics intelligent tracking module. The yard intelligent metering module includes a yard division unit, a label numbering unit, a number query unit, and an in-and-out warehouse management unit. The yard division unit is connected to the label numbering unit, the label numbering unit is connected to the number query unit, and the number query unit is connected to the in-and-out warehouse management unit; the logistics intelligent tracking module includes a positioning unit and a data uploading unit;
[0048] The yard division unit divides the yard into several areas to facilitate monitoring of goods in the yard;
[0049] The label numbering unit affixes magnetic labels to the goods in each area and numbers the magnetic labels in sequence to facilitate querying the goods;
[0050] The number query unit can query the number and display the area where the goods are located;
[0051] The in-and-out warehouse management unit is that after the warehouse keeper gets the material picking list, he takes the label recognition machine to read the label of the queried area to check whether it is the goods he wants to pick up;
[0052] The positioning unit locates the truck GPS in real time and transmits the positioning information to the background management module to facilitate real-time monitoring of the truck transportation route;
[0053] The data uploading unit allows the truck driver to scan the code at regular intervals to report the location information and register the cargo information, so as to facilitate the real-time monitoring of the truck transportation route.
[0054] The factory video control system includes a video input module, a dynamic face recognition module, a personnel and vehicle recognition module, a feature recognition module, and an abnormal alarm module. The video input module is connected to the dynamic face recognition module, the personnel and vehicle recognition module, and the feature recognition module respectively. The dynamic face recognition module, the personnel and vehicle recognition module, and the feature recognition module are connected to the abnormal alarm module respectively.
[0055] The video input module can perform video monitoring of various areas within the factory;
[0056] The dynamic face recognition module can dynamically recognize faces in the video surveillance screen, transmit the face information of non-factory internal personnel to the abnormal alarm module, and issue an abnormal alarm through the abnormal alarm module;
[0057] The personnel and vehicle identification module can identify vehicles in the video surveillance screen, and transmit the information of vehicles that appear less than 3 times to the abnormal alarm module, and the abnormal alarm module will issue an abnormal alarm;
[0058] The feature recognition module can identify large packages carried by people in the video surveillance screen. If a package larger than a preset size appears, it will be transmitted to the abnormal alarm module, and an abnormal alarm will be issued through the abnormal alarm module.
[0059] By connecting the personnel control system, equipment control system, cargo control system, and factory video control system with the backend management module, the personnel, equipment, cargo, and the entire factory area can be supervised, achieving the integration and unification of factory data, visualization of status, manageability of business, and controllability of events, thereby improving the level of production and operation management.
[0060] Utilizing the technical solution described in the present invention, or those skilled in the art designing a similar technical solution inspired by the technical solution of the present invention to achieve the above-mentioned technical effects, all fall within the protection scope of the present invention.
Claims
1. A factory production intelligent control system, including a personnel control system, an equipment control system, a cargo control system, and a factory video control system. The personnel control system, the equipment control system, the cargo control system, and the factory video control system are all connected to a background management module, and are characterized in that: Personnel management and control system: including personnel information entry module and comprehensive examination training module. The personnel information entry module includes basic information entry unit and attendance entry unit. The comprehensive examination training module includes pre-exam training unit, examination unit, score query unit and make-up examination unit. The equipment management and control system includes an edge data analysis module, a power consumption data analysis module, an operation monitoring module, and a fault alarm module. The edge data analysis module, the power consumption data analysis module, and the operation monitoring module are all connected to the controller, and the controller is connected to the fault alarm module; The cargo control system includes a yard intelligent metering module and a logistics intelligent tracking module. The yard intelligent metering module includes a yard division unit, a label numbering unit, a number query unit, and an in-and-out warehouse management unit. The yard division unit is connected to the label numbering unit, the label numbering unit is connected to the number query unit, and the number query unit is connected to the in-and-out warehouse management unit; the logistics intelligent tracking module includes a positioning unit and a data uploading unit; The factory video control system includes a video input module, a dynamic face recognition module, a personnel and vehicle recognition module, a feature recognition module, and an abnormal alarm module. The video input module is respectively connected to the dynamic face recognition module, the personnel and vehicle recognition module, and the feature recognition module. The dynamic face recognition module, the personnel and vehicle recognition module, and the feature recognition module are respectively connected to the abnormal alarm module.
2. According to claim 1, a factory production intelligent management and control system is characterized by: The basic information entry unit includes the entry of information on the name, age, ID number, home address, contact number, position, time of employment, and years of work experience of management, production area personnel, cargo management area personnel, video management area personnel, and security personnel.
3. The factory production intelligent management and control system according to claim 1 is characterized by: The pre-exam training unit includes registration and login of the examinee, after which the corresponding learning videos and after-class exercises are sent according to the examinee's position; The test unit can specify test questions based on the examinee's position and previous learning videos, making it easier for the examinee to take the test online; The score query unit is capable of querying test scores; The re-examination unit provides a re-examination opportunity for examinees who fail the test.
4. The factory production intelligent management and control system according to claim 1 is characterized by: The edge data analysis module is responsible for accessing the operation and fault data of the equipment, analyzing and processing them in real time and transmitting them to the controller. If the controller obtains the fault data, it controls the fault alarm module to alarm; The power consumption data analysis module is responsible for collecting the energy consumption and power safety data of the equipment, analyzing and processing them in real time and transmitting them to the controller. If the controller obtains abnormal power consumption data, it will control the fault alarm module to alarm; The operation monitoring module is used to monitor the operation of the production equipment and transmit the monitoring video to the background management module in real time for the management personnel to view; The fault alarm module can easily alarm faulty equipment.
5. The factory production intelligent management and control system according to claim 1 is characterized by: The yard division unit divides the yard into several areas to facilitate monitoring of goods in the yard; The label numbering unit affixes magnetic labels to the goods in each area and numbers the magnetic labels in sequence to facilitate querying the goods; The number query unit can query the number and display the area where the goods are located; The warehouse entry and exit management unit is that after the warehouse keeper gets the material collection list, he takes out the label recognition machine, reads the label of the queried area, and checks whether it is the goods he wants to pick up.
6. The factory production intelligent management and control system according to claim 1 is characterized by: The positioning unit locates the truck GPS in real time and transmits the positioning information to the background management module to facilitate real-time monitoring of the truck transportation route; The data uploading unit allows the truck driver to scan the code at regular intervals to report the location information and register the cargo information, so as to facilitate the real-time monitoring of the truck transportation route.
7. The factory production intelligent management and control system according to claim 1 is characterized by: The video input module can perform video monitoring of various areas within the factory; The dynamic face recognition module can dynamically recognize faces in the video surveillance screen, transmit the face information of non-factory internal personnel to the abnormal alarm module, and issue an abnormal alarm through the abnormal alarm module; The personnel and vehicle identification module can identify vehicles in the video surveillance screen, and transmit the information of vehicles that appear less than 3 times to the abnormal alarm module, and the abnormal alarm module will issue an abnormal alarm; The feature recognition module can identify large packages carried by people in the video surveillance screen. If a package larger than a preset size appears, it will be transmitted to the abnormal alarm module, and an abnormal alarm will be issued through the abnormal alarm module.
