CN112286148A - Intelligent factory system based on Internet of things technology and digital management technology - Google Patents
Intelligent factory system based on Internet of things technology and digital management technology Download PDFInfo
- Publication number
- CN112286148A CN112286148A CN202011057974.5A CN202011057974A CN112286148A CN 112286148 A CN112286148 A CN 112286148A CN 202011057974 A CN202011057974 A CN 202011057974A CN 112286148 A CN112286148 A CN 112286148A
- Authority
- CN
- China
- Prior art keywords
- management system
- management
- technology
- personnel
- intelligent
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
- 238000005516 engineering process Methods 0.000 title claims abstract description 36
- 238000004519 manufacturing process Methods 0.000 claims abstract description 51
- 239000002994 raw material Substances 0.000 claims abstract description 35
- 239000000463 material Substances 0.000 claims abstract description 9
- 230000007306 turnover Effects 0.000 claims abstract description 6
- 238000007726 management method Methods 0.000 claims description 95
- 238000012544 monitoring process Methods 0.000 claims description 14
- 238000012545 processing Methods 0.000 claims description 12
- 230000001360 synchronised effect Effects 0.000 claims description 10
- 238000001514 detection method Methods 0.000 claims description 8
- 238000000034 method Methods 0.000 claims description 8
- 238000004364 calculation method Methods 0.000 claims description 6
- 230000000694 effects Effects 0.000 claims description 6
- 230000008569 process Effects 0.000 claims description 4
- 238000012423 maintenance Methods 0.000 claims description 3
- 238000004886 process control Methods 0.000 claims description 3
- 231100000279 safety data Toxicity 0.000 claims description 3
- 238000004088 simulation Methods 0.000 claims description 3
- 230000000007 visual effect Effects 0.000 claims description 3
- 238000013500 data storage Methods 0.000 description 2
- 230000008034 disappearance Effects 0.000 description 2
- 238000007792 addition Methods 0.000 description 1
- 238000004458 analytical method Methods 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
- 238000010586 diagram Methods 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 238000012806 monitoring device Methods 0.000 description 1
- 230000006855 networking Effects 0.000 description 1
- 238000006467 substitution reaction Methods 0.000 description 1
Images
Classifications
-
- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
- G05B19/00—Programme-control systems
- G05B19/02—Programme-control systems electric
- G05B19/418—Total factory control, i.e. centrally controlling a plurality of machines, e.g. direct or distributed numerical control [DNC], flexible manufacturing systems [FMS], integrated manufacturing systems [IMS] or computer integrated manufacturing [CIM]
- G05B19/41875—Total factory control, i.e. centrally controlling a plurality of machines, e.g. direct or distributed numerical control [DNC], flexible manufacturing systems [FMS], integrated manufacturing systems [IMS] or computer integrated manufacturing [CIM] characterised by quality surveillance of production
-
- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
- G05B19/00—Programme-control systems
- G05B19/02—Programme-control systems electric
- G05B19/418—Total factory control, i.e. centrally controlling a plurality of machines, e.g. direct or distributed numerical control [DNC], flexible manufacturing systems [FMS], integrated manufacturing systems [IMS] or computer integrated manufacturing [CIM]
- G05B19/41865—Total factory control, i.e. centrally controlling a plurality of machines, e.g. direct or distributed numerical control [DNC], flexible manufacturing systems [FMS], integrated manufacturing systems [IMS] or computer integrated manufacturing [CIM] characterised by job scheduling, process planning, material flow
-
- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02P—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN THE PRODUCTION OR PROCESSING OF GOODS
- Y02P90/00—Enabling technologies with a potential contribution to greenhouse gas [GHG] emissions mitigation
- Y02P90/02—Total factory control, e.g. smart factories, flexible manufacturing systems [FMS] or integrated manufacturing systems [IMS]
Landscapes
- Engineering & Computer Science (AREA)
- General Engineering & Computer Science (AREA)
- Manufacturing & Machinery (AREA)
- Quality & Reliability (AREA)
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Automation & Control Theory (AREA)
- General Factory Administration (AREA)
- Management, Administration, Business Operations System, And Electronic Commerce (AREA)
Abstract
The invention relates to the technical field of intelligent production and manufacturing, in particular to an intelligent factory system based on the technology of Internet of things and the technology of digital management, which comprises the following components: raw and other materials business turn over management system, personnel regulation and control management system, equipment management system, product warehouse entry management system, control early warning system, software system, raw and other materials business turn over management system, personnel regulation and control management system, equipment management system, product warehouse entry management system, control early warning system all are connected with software system, software system be intelligent MES system, and intelligent MES system is connected with the storage data module, the storage data module is connected with EPR module and HR module. The invention utilizes the technology of Internet of things and the technology of digital management, can detect and monitor each step in the factory, synchronously detect the raw material input and the product output of the factory, coordinate the working efficiency of the growth line and have the function of coordinating the work of personnel.
Description
Technical Field
The invention relates to the technical field of intelligent production and manufacturing, in particular to an intelligent factory system based on the Internet of things technology and the digital management technology.
Background
At present, the domestic heavy manufacturing industry is generally in a traditional production and manufacturing mode, and the production of products is ensured mainly by the quality and level of production management personnel although the domestic heavy manufacturing industry has a part of automatic production capacity; the management level is based on experience, and a manager cannot master quantized and accurate production data; the manual statistics is needed for the raw material entering, the product completion and even the ex-warehouse data, more manpower is wasted, meanwhile, the efficiency is low, and the production efficiency cannot be scheduled in time. Moreover, the whole production process cannot be scientifically and quantitatively managed, and a plurality of detailed processes invisible to managers exist; the system has no informatization data personnel management capacity, and a filling scheme cannot be generated in time when personnel are missing, so that the plant is easy to shut down;
the patent document with the national application number of CN201610148519.3 discloses a heavy intelligent factory system based on the Internet of things technology and the digital management technology, a software system is respectively connected with an intelligent tool management system, an intelligent program management system, an intelligent schedule management system, a material identification system and a data acquisition and analysis system, a hardware networking system is connected with the software system, the software system is an intelligent MES system, the intelligent MES system is connected with a manufacturing data center, and the manufacturing data center is connected with an EPR module and a PDM module;
the patent document has the disadvantages that: 1. raw material entering and product production conditions can not be intelligently managed, and the production efficiency can not be coordinated;
2. lack of intelligent management to personnel, can not in time master personnel's scheduling and personnel's disappearance scheduling problem.
Disclosure of Invention
The invention aims to provide an intelligent factory system based on the Internet of things technology and the digital management technology.
In order to achieve the purpose, the invention adopts the following technical scheme:
the utility model provides an intelligent factory system based on internet of things and digital management technique, including raw and other materials business turn over management system, personnel regulation and control management system, equipment management system, product warehouse entry management system, control early warning system, software system, raw and other materials business turn over management system, personnel regulation and control management system, equipment management system, product warehouse entry management system, control early warning system all are connected with software system, software system be intelligent MES system, and intelligent MES system is connected with the storage data module, the storage data module is connected with EPR module and HR module.
Furthermore, the raw material in-out management system has the function of managing the in-out of raw materials for factory production, and counting and managing the amount of different raw materials entering, the amount of raw materials consumed in unit time and the amount of residual raw materials.
Further, the product warehousing and ex-warehouse management system has the functions of classifying finished products produced by a factory, integrating and counting, and carrying out statistical recording and management on different product warehousing quantities, unit time output quantities and ex-warehouse quantities.
Furthermore, the device management system has the functions of performing online management on all devices with control system interfaces in a factory, performing cooperative management on operation information of the devices, workload of the devices, maintenance of the devices and the like, synchronously detecting the working quality of the devices, realizing by detecting the product quality, setting detection modules aiming at the product quality at different positions, and checking the states of processing tools such as device cutters and the like.
Furthermore, the personnel regulation and control management system has the functions of reasonably planning the working time of the personnel in the factory, simultaneously recording the working time of the personnel for starting and stopping, and aiming at the unexpected situations of personnel loss and the like through reasonable regulation and control and allocation.
Furthermore, the monitoring and early warning system monitors various safety data in a factory during functions, realizes the monitoring and early warning effect synchronously, and gives an alarm rapidly after an accident occurs.
Further, the software system comprises the following working steps:
the method comprises the following steps: the software system receives signals sent by the raw material in-out management system, the personnel regulation and control management system, the equipment management system, the product in-warehouse and out-warehouse management system and the monitoring and early warning system, and the characteristics are extracted through the processor;
step two: the extracted features are led into a processor system model for calculation, and a corresponding processing mode is judged through processing and calculation;
step three: simulating in a processor system model, synchronously setting an equipment model for simulation, thereby obtaining an actual operation step and simultaneously outputting a command;
step four: each device receives a command sent by the software system, corresponding operation and synchronous feedback signals are carried out according to the command signals, and the software system receives the feedback signals of each device;
step five: the synchronous touch screen processing center receives and receives operation data of a user on a human-computer interface, so that the operation mode of the user on the human-computer interface is judged, and the data of the operation mode of the user on the human-computer interface is transmitted to the PLC main processing center;
step six: the PLC master processing center receives specific operation information of a user on the human-computer interface, and then sends a corresponding instruction for controlling the human-computer interface to the execution module.
Furthermore, the raw material in-out management system and the product in-out management system have a coordination function, the raw material in-out management system and the product in-out management system are connected, actual data are compared and processed through the processor, the processor controls the production line of a comparison field layer through data, the raw material introduction speed and the product out-of-warehouse speed need to be controlled, and production efficiency is maximized.
Furthermore, an intelligent workshop monitoring device is established by a visual detection method, the device processing field data acquisition and field process control are carried out through a camera, meanwhile, the data are transmitted to a processor model and a display module, the display module comprises various display devices, and the operation states of all parts are displayed and managed in real time, wherein the processor model simulates the field data and the field process, so that the production error is avoided, the production accident is synchronously avoided, and the alarm can be given to the production accident.
Furthermore, the whole intelligent workshop is centrally managed and controlled by a production scheduling command control center, the production scheduling command control center coordinates raw material inlet amount and product output amount, production efficiency is maintained, product production quality of synchronous monitoring is achieved, production quality can be supervised by detecting states of all devices, synchronization has a supervision effect on post arrival and shutdown of personnel, scheduling is performed according to actual work of the personnel, work of missing personnel is filled, and normal operation of a factory is guaranteed.
The invention has the beneficial effects that:
on the basis of high automation and digital mill, utilize internet of things and digital management technology to realize can detecting and monitoring each step in the mill, maintain the normal function of mill, can detect the raw materials entering and the product output of mill, according to the data contrast, thereby avoid the product to pile up or raw and other materials pile up the scheduling problem, coordinate the work efficiency of growth line, maximize mill efficiency, and possess the effect that the coordination personnel worked, can supervise personnel to the post and the absence condition, and can master all personnel's operational aspect, be convenient for carry out personnel's scheduling adjustment, in time fill the absence post, guarantee the normal operating of mill.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings required to be used in the embodiments of the present invention will be briefly described below.
FIG. 1 is a block diagram of the present invention.
Detailed Description
The technical scheme of the invention is further explained by the specific implementation mode in combination with the attached drawings.
The drawings are only for purposes of illustration and are not intended to be limiting, and are merely schematic and non-limiting.
An intelligent factory system based on an internet of things technology and a digital management technology comprises a raw material in-out management system, a personnel regulation and control management system, an equipment management system, a product warehousing and ex-warehouse management system, a monitoring and early warning system and a software system, wherein the raw material in-out management system, the personnel regulation and control management system, the equipment management system, the product warehousing and ex-warehouse management system and the monitoring and early warning system are all connected with the software system, the software system is an intelligent MES system, the intelligent MES system is connected with a data storage module, and the data storage module is connected with an EPR module and an HR module.
The raw material in-out management system has the functions of managing in-out of raw materials for factory production, and counting and managing the amount of different raw materials entering, the amount of raw materials consumed in unit time and the amount of residual raw materials.
The product warehousing and ex-warehouse management system has the functions of classifying finished products produced by a factory, integrating counting, and carrying out statistical recording and management on different product warehousing quantities, unit time output quantities and ex-warehouse quantities.
The equipment management system has the functions of online management of all equipment with control system interfaces in a factory, cooperative management of operation information of the equipment, workload of the equipment, equipment maintenance and the like, synchronous detection of the working quality of the equipment, realization by detecting the product quality, setting of detection modules aiming at the product quality at different positions and detection of the states of processing tools such as equipment cutters and the like.
The personnel regulation and control management system has the functions of reasonably planning the working time of personnel in a factory, simultaneously recording the working time of the personnel during working and stopping, and aiming at the unexpected situations of personnel loss and the like through reasonable regulation and control.
When monitoring the functions of the early warning system, various safety data in a factory are monitored, the early warning effect is synchronously realized, and an alarm is rapidly given out after an accident situation occurs.
The software system comprises the following working steps:
the method comprises the following steps: the software system receives signals sent by the raw material in-out management system, the personnel regulation and control management system, the equipment management system, the product in-warehouse and out-warehouse management system and the monitoring and early warning system, and the characteristics are extracted through the processor;
step two: the extracted features are led into a processor system model for calculation, and a corresponding processing mode is judged through processing and calculation;
step three: simulating in a processor system model, synchronously setting an equipment model for simulation, thereby obtaining an actual operation step and simultaneously outputting a command;
step four: each device receives a command sent by the software system, corresponding operation and synchronous feedback signals are carried out according to the command signals, and the software system receives the feedback signals of each device;
step five: the synchronous touch screen processing center receives and receives operation data of a user on a human-computer interface, so that the operation mode of the user on the human-computer interface is judged, and the data of the operation mode of the user on the human-computer interface is transmitted to the PLC main processing center;
step six: the PLC master processing center receives specific operation information of a user on the human-computer interface, and then sends a corresponding instruction for controlling the human-computer interface to the execution module.
The raw material in-out management system and the product in-out management system have a coordination function, the raw material in-out management system and the product in-out management system are connected, actual data are compared through the processor, the processor controls the production line of a comparison field layer through data, the raw material leading-in speed and the product out-of-warehouse speed need to be controlled, and production efficiency is maximized.
The intelligent workshop monitoring equipment is established by a visual detection method, equipment processing field data acquisition and field process control are carried out through a camera, data are transmitted to the processor model and the display module, the display module comprises various display equipment and is used for displaying and managing the running states of all parts in real time, the processor model simulates the field data and the field process, production errors are avoided, production accidents are synchronously avoided, and alarms can be given to the production accidents.
Wherein, whole intelligent workshop has production scheduling command control center centralized management control, and production scheduling command control center coordinates raw and other materials entering volume and product output volume, maintains production efficiency nature, the product production quality of synchronous control, but also can come to supervise production quality through the state that detects each equipment, and synchronous arrives the post and shut down to personnel have the supervision effect, dispatches according to personnel's actual work, fills the work of disappearance personnel, guarantees the normal operating of mill.
The foregoing is merely exemplary and illustrative of the present invention and various modifications, additions and substitutions may be made by those skilled in the art to the specific embodiments described without departing from the scope of the invention as defined in the following claims.
Claims (10)
1. Intelligent factory system based on internet of things and digital management technology, its characterized in that, including raw and other materials business turn over management system, personnel regulation and control management system, equipment management system, product warehouse entry and warehouse exit management system, control early warning system, software system, raw and other materials business turn over management system, personnel regulation and control management system, equipment management system, product warehouse entry and warehouse exit management system, control early warning system all are connected with software system, software system be intelligent MES system, and intelligent MES system is connected with the storage data module, the storage data module is connected with EPR module and HR module.
2. The intelligent factory system based on the internet of things technology and the digital management technology as claimed in claim 1, wherein the raw material in-out management system is used for performing in-out management on raw materials for factory production, and performing statistics and management on the amount of different raw materials entering, the amount of raw materials consumed per unit time and the amount of residual raw materials.
3. The intelligent factory system based on the internet of things technology and the digital management technology as claimed in claim 1, wherein the product warehousing and ex-warehouse management system has the functions of classifying finished products produced by a factory, integrating and counting, and carrying out statistical recording and management on different product warehousing quantities, unit time output quantities and ex-warehouse quantities.
4. The intelligent factory system based on the internet of things technology and the digital management technology according to claim 1, wherein the device management system has the functions of performing online management on all devices with control system interfaces in a factory, performing cooperative management on operation information of the devices, workload of the devices, maintenance of the devices and the like, synchronously detecting the working quality of the devices, achieving the purpose by detecting the product quality, setting detection modules aiming at the product quality at different positions, and detecting the states of processing tools such as device tools and the like.
5. The intelligent factory system based on the internet of things technology and the digital management technology according to claim 1, wherein the personnel regulation and control management system has the functions of reasonably planning the working time of personnel in a factory, recording the working time of the personnel when the personnel start working and stop working, and aiming at accidents such as personnel loss and the like through reasonable regulation and control.
6. The intelligent factory system based on the internet of things technology and the digital management technology as claimed in claim 1, wherein the monitoring and early warning system monitors various safety data in a factory during functions, synchronously realizes monitoring and early warning effects, and rapidly alarms after an accident occurs.
7. The intelligent factory system based on the internet of things technology and the digital management technology as claimed in claim 1, wherein the software system comprises the following working steps:
the method comprises the following steps: the software system receives signals sent by the raw material in-out management system, the personnel regulation and control management system, the equipment management system, the product in-warehouse and out-warehouse management system and the monitoring and early warning system, and the characteristics are extracted through the processor;
step two: the extracted features are led into a processor system model for calculation, and a corresponding processing mode is judged through processing and calculation;
step three: simulating in a processor system model, synchronously setting an equipment model for simulation, thereby obtaining an actual operation step and simultaneously outputting a command;
step four: each device receives a command sent by the software system, corresponding operation and synchronous feedback signals are carried out according to the command signals, and the software system receives the feedback signals of each device;
step five: the synchronous touch screen processing center receives and receives operation data of a user on a human-computer interface, so that the operation mode of the user on the human-computer interface is judged, and the data of the operation mode of the user on the human-computer interface is transmitted to the PLC main processing center;
step six: the PLC master processing center receives specific operation information of a user on the human-computer interface, and then sends a corresponding instruction for controlling the human-computer interface to the execution module.
8. The intelligent factory system based on the internet of things technology and the digital management technology as claimed in claim 1, wherein the raw material in-out management system and the product in-in and out-of-warehouse management system have a coordination function, the raw material in-out management system and the product in-out and out-of-warehouse management system are connected, actual data are compared and processed through a processor, the processor controls a production line of a comparison field layer through data, wherein the input speed of raw materials and the output speed of products need to be controlled, and production efficiency is maximized.
9. The intelligent factory system based on the internet of things technology and the digital management technology as claimed in claim 1, wherein the intelligent workshop monitoring equipment is established by a visual detection method, the equipment processing field data acquisition and field process control are performed through a camera, and the data are transmitted to a processor model and a display module, the display module comprises various display equipment, and the operation state of each part is displayed and managed in real time, wherein the processor model simulates the field data and the field process to avoid production errors and synchronously avoid production accidents, and can also give an alarm for the production accidents.
10. The intelligent factory system based on the internet of things technology and the digital management technology according to claim 1, wherein the whole intelligent workshop is centrally managed and controlled by a production scheduling command control center, the production scheduling command control center coordinates raw material input quantity and product output quantity, maintains production efficiency and synchronously monitors product production quality, and can supervise the production quality by detecting states of all devices, the synchronization supervises the arrival and shutdown of personnel, the scheduling is carried out according to actual work of the personnel, the work of the missing personnel is filled, and the normal operation of the factory is ensured.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202011057974.5A CN112286148A (en) | 2020-09-30 | 2020-09-30 | Intelligent factory system based on Internet of things technology and digital management technology |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202011057974.5A CN112286148A (en) | 2020-09-30 | 2020-09-30 | Intelligent factory system based on Internet of things technology and digital management technology |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN112286148A true CN112286148A (en) | 2021-01-29 |
Family
ID=74422655
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202011057974.5A Pending CN112286148A (en) | 2020-09-30 | 2020-09-30 | Intelligent factory system based on Internet of things technology and digital management technology |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN112286148A (en) |
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN112950032A (en) * | 2021-03-04 | 2021-06-11 | 绍兴市金泽电子科技有限公司 | Intelligent factory operation management system |
| CN115331327A (en) * | 2022-07-19 | 2022-11-11 | 广西科学院 | Production line intelligent monitoring management system |
Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN105824300A (en) * | 2016-03-16 | 2016-08-03 | 沈阳恒久安泰科技发展有限公司 | Heavy type intelligent factory system based on IoT (Internet of Things) technology and digital management technology |
| CN106780822A (en) * | 2017-01-09 | 2017-05-31 | 安徽杰瑞信息科技有限公司 | A kind of intelligent inspection system for factory |
| CN108241343A (en) * | 2016-12-24 | 2018-07-03 | 青岛海尔模具有限公司 | A kind of intelligent plant management platform system |
| CN109934425A (en) * | 2017-12-15 | 2019-06-25 | 广州凯邦信息技术有限公司 | A kind of intelligent plant customization planning system and its method |
| CN110991581A (en) * | 2019-12-02 | 2020-04-10 | 杭州思创汇联科技有限公司 | Automatic control identification method and identification system for whole production process of factory |
| CN111178838A (en) * | 2019-12-26 | 2020-05-19 | 赵一群 | Intelligent digital factory system based on cloud computing |
-
2020
- 2020-09-30 CN CN202011057974.5A patent/CN112286148A/en active Pending
Patent Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN105824300A (en) * | 2016-03-16 | 2016-08-03 | 沈阳恒久安泰科技发展有限公司 | Heavy type intelligent factory system based on IoT (Internet of Things) technology and digital management technology |
| CN108241343A (en) * | 2016-12-24 | 2018-07-03 | 青岛海尔模具有限公司 | A kind of intelligent plant management platform system |
| CN106780822A (en) * | 2017-01-09 | 2017-05-31 | 安徽杰瑞信息科技有限公司 | A kind of intelligent inspection system for factory |
| CN109934425A (en) * | 2017-12-15 | 2019-06-25 | 广州凯邦信息技术有限公司 | A kind of intelligent plant customization planning system and its method |
| CN110991581A (en) * | 2019-12-02 | 2020-04-10 | 杭州思创汇联科技有限公司 | Automatic control identification method and identification system for whole production process of factory |
| CN111178838A (en) * | 2019-12-26 | 2020-05-19 | 赵一群 | Intelligent digital factory system based on cloud computing |
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN112950032A (en) * | 2021-03-04 | 2021-06-11 | 绍兴市金泽电子科技有限公司 | Intelligent factory operation management system |
| CN115331327A (en) * | 2022-07-19 | 2022-11-11 | 广西科学院 | Production line intelligent monitoring management system |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| US9965722B2 (en) | Optimized decision-making system and method for multiple ore dressing production indexes based on cloud server and mobile terminals | |
| CN108873842B (en) | One-stop unattended pump station automatic control system | |
| CN108009739A (en) | Production-Plan and scheduling integral method between a kind of intelligent machine extra bus | |
| CN113534760A (en) | Manufacturing industry factory management system based on digital twin platform | |
| CN206322012U (en) | A kind of MES system for coal preparation plant | |
| CN102262401A (en) | Industrial production line monitoring system | |
| CN112286148A (en) | Intelligent factory system based on Internet of things technology and digital management technology | |
| CN110247474B (en) | Statistical summary method and system based on D5000 system power grid operation state | |
| CN110033186A (en) | A kind of huge hydroelectric power plant's intelligence prison disc system | |
| CN102222270B (en) | Manufacture and perform management system and production curves device | |
| CN103197623A (en) | Method and device of assembly line monitoring management | |
| CN102968101A (en) | Mine multiple-system linkage control system based on imaging and control method thereof | |
| CN112462702A (en) | Intelligent monitoring and intelligent scheduling system based on industrial internet | |
| CN115330955A (en) | Product visualization management and control method based on digital twinning technology | |
| CN208384412U (en) | A kind of CNC digital control system for braider | |
| CN116415386A (en) | Digital twin production line visualization system based on real-time data driving | |
| CN109100994A (en) | A kind of production line for manufacturing battery method for real-time monitoring | |
| CN110266811B (en) | Workshop abnormal information pushing device and method based on MQTT technology | |
| CN105577428A (en) | Intelligent substation virtual loop comprehensive monitoring system based on multidimensional information acquisition | |
| CN111932086A (en) | Factory intelligent management method based on digital twin technology | |
| CN116560316A (en) | 3D digital twin modeling method | |
| CN111679642A (en) | Internet of things system for sock production | |
| CN202600429U (en) | Automatic control system for extraction of traditional Chinese medicine | |
| CN112446798B (en) | Intelligent LED packaging system based on industrial Internet | |
| CN115390534A (en) | Permanent magnetic ferrite full-life cycle management system and method based on digital twinning |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| RJ01 | Rejection of invention patent application after publication |
Application publication date: 20210129 |
|
| RJ01 | Rejection of invention patent application after publication |