Smart factory management and control system

Abstract

The present invention discloses a smart factory management and control system, which relates to the technical field of food intelligent manufacturing, including a cloud intelligent manufacturing platform, a server, a controller, a central control Internet of Things system, a first-floor production line, a second-floor production line, a third-floor production line, a fourth-floor production line, and a roofing layer. The cloud intelligent manufacturing platform and the central control Internet of Things system call multiple servers and multiple controllers to be distributed in various corners of the five-story building, so as to cope with the fine control of data information of a single engineering assembly line in a factory area. When the industry is distributed with multiple engineering assembly lines and multiple systems of personnel control, machine regulation, and factory ventilation and air conditioning, the controller summarizes the data to the server on the cloud intelligent manufacturing platform to form a smart and fine analysis and operation effect, so that the data collection, processing, statistics and command execution work can be satisfied and optimized through the central control Internet of Things system, and the system load pressure is reduced, and the big data is finely divided into multiple small data for execution and feedback two-way correction.

Description

Technical Field

[0001] The present invention relates to the technical field of intelligent food manufacturing, and in particular to a smart factory management and control system. Background Art

[0002] The food production of the konjac factory, such as the boiling line of konjac noodles and the vacuum packaging of konjac noodles, will be divided into floors and equipment layouts, and then combined with the manual assembly line and mechanical assembly line to integrate the work in series. This requires factory managers to monitor a larger area in order to pay attention to the work conditions of employees and equipment. The engineering control of the konjac factory needs to be refined and matched with the step-by-step process of different konjac processing contents, such as: boiling, sterilization, re-inspection, gold inspection, etc. System settings are required in the factory management and control of the intelligent manufacturing of konjac food, which are essential for system terminal feedback and centralized management.

[0003] The existing big data control system can only cope with the fine control of data information of a single engineering assembly line in a konjac plant. When multiple konjac assembly lines involve personnel control, konjac processing machine regulation, konjac plant ventilation and air-conditioning systems, the collection, processing, statistics and command execution of konjac processing data are difficult to meet. In addition, there is a lack of pre-processing, digestion and feedback process for konjac processing data, which will increase the system burden when managers later retrieve and screen detailed point data such as the boiled line of konjac silk. It requires human brainpower to cooperate with the screening and judgment of the surge in data processing, which will invisibly increase the system equipment hardware data congestion cost and manual labor cost. In addition, managers must also calibrate the accuracy of information on the spot and cannot obtain accurate data and real-time feedback effects. Summary of the invention

[0004] In view of the deficiencies in the prior art, the present invention provides a smart factory management and control system to solve the problem that the existing big data control system can only cope with the fine control of data information of a single engineering assembly line in a konjac plant area. When multiple konjac assembly lines involve personnel control, konjac processing machine regulation, konjac plant ventilation and air-conditioning systems, the collection, processing, statistics and command execution of konjac processing data are difficult to be satisfied, and there is a lack of a preliminary processing, digestion and feedback process for konjac processing data, which will increase the system burden when the later managers retrieve and screen the detailed point data of the boiled line of konjac silk, and require artificial brainpower to cooperate with the screening and judgment of the processing data volume to surge, which will invisibly increase the system equipment hardware data jamming cost and the artificial cooperation labor cost, and the manager also needs to calibrate the accuracy of the information on the spot, and cannot obtain the problem of accurate data and real-time feedback effect.

[0005] To achieve the above objectives, the present invention is implemented through the following technical solutions: a smart factory management and control system, including a cloud intelligent manufacturing platform, a server, a controller, a central control Internet of Things system, a first-layer production line, a second-layer production line, a third-layer production line, a fourth-layer production line, a roof layer, a manual boiling line, a vacuum packaging machine, a grouting machine, and a stretch film packaging machine. The central control Internet of Things system is provided with a hierarchical control server for the roof layer, the four-layer production line, the three-layer production line, the two-layer production line, a roof surface of the first-layer production line, and four floors from top to bottom. The server signal transmission docking cloud intelligent manufacturing platform data is fed back to the central control Internet of Things system. The cloud intelligent manufacturing platform and the central control Internet of Things system constitute a konjac food engineering control system that is in charge of the roof layer, the four-layer production line, the three-layer production line, the two-layer production line, a roof surface of the first-layer production line, and the konjac food engineering work from four floors from top to bottom.

[0006] By allocating different servers on the cloud side of the cloud intelligent manufacturing platform to transmit and feedback the signal data of different project progress on different floors of the konjac food factory, the intelligent data link of the system construction framework is clear, the circuit closed loop is reasonable, and the hierarchical and step-by-step management is stable.

[0007] The roof layer, the fourth-floor production line, the third-floor production line, the second-floor production line, a roof surface of the first-floor production line and the four floors are respectively equipped with manual boiling lines, vacuum packaging machines, grouting machines, and stretch film packaging machines. The central control Internet of Things system connects to the controllers of the manual boiling lines, vacuum packaging machines, grouting machines, and stretch film packaging machines through the serial port electronic control of the server to realize the control of the equipment and floor split screens by the central control screen. The controller of the manual boiling line feeds back accurate data to the server and uploads it to the cloud intelligent manufacturing platform and the central control Internet of Things system to realize system forward control and reverse refined feedback actions.

[0008] Through the split screen of the controller electronic control equipment corresponding to the main screen of the central control Internet of Things system, the tree diagram division effect of the main screen grabbing the total konjac food engineering data analysis and the split screen grabbing the divided konjac food engineering data analysis is realized, and the differentiation and classification of big data are accurately processed, which improves the precise control of the overall konjac food engineering processing progress.

[0009] The central control Internet of Things system is connected to the roof layer, the fourth production line, the third production line, the second production line, and the first production line through five server signal transmissions to control multiple konjac food production projects. The five servers are connected to the controller in series through the serial port. The controller is connected to the split screen: the first human-machine interface and the second human-machine interface control the monitoring probe to display and collect data of the blind spots of floor monitoring. The controller is connected to the split screen: the first human-machine interface and the second human-machine interface control the refined operation feedback server of the equipment. The central control Internet of Things system integrates ventilation and exhaust valves, air-conditioning water and electricity gates, probe monitoring display retrieval, equipment refined control, and assembly line engineering fault alarm functions into an integrated operation through the data automation dashboard.

[0010] The roof layer, four-layer production line, three-layer production line, two-layer production line and one-layer production line are controlled by the central control Internet of Things system, and each equipment component and monitoring component of the roof layer, four-layer production line, three-layer production line, two-layer production line and one-layer production line are connected to the server with standardized buried wires. Finally, a link of serial port and signal is formed through the signal transceiver of the server, and the data integration feedback analysis effect is achieved, thereby improving the smart food engineering control operation of the entire cloud intelligent manufacturing platform corresponding to the central control Internet of Things system.

[0011] The cloud intelligent manufacturing platform is divided into eight functional modules, namely, home page dashboard module, project configuration module, data management module, alarm management module, maintenance work order module, recipe decentralization module, installment management module, and user management module. The cloud intelligent manufacturing platform sets up MQTT and HTTP to connect to the server signal transmission feedback through the cloud. A firewall is set between the server and the front external network for data protection. The server conducts eight A-BOX signal transmission feedback through MQTT, X-NET, and Modbus Tcp respectively. The A-BOX is connected to the controller signal through the serial port RJ45. The cloud intelligent manufacturing platform and the central control Internet of Things system belong to the same konjac food engineering control system.

[0012] It should be noted that the Hypertext Transfer Protocol, or HTTP, is a simple request-response protocol that usually runs on top of TCP. It specifies what kind of messages a client may send to a server and what kind of responses it may get. The headers of the request and response messages are given in ASCII form; the message content has a format similar to MIME. The Hypertext Transfer Protocol is an application layer protocol for distributed, collaborative, and hypermedia information systems. It is the basis for data communication on the World Wide Web (WWW).

[0013] It should be noted that MQTT message queue telemetry transmission is a message protocol based on the publish / subscribe paradigm under the ISO standard. It works on top of the TCP / IP protocol and is a publish / subscribe message protocol designed for remote devices with low hardware performance and poor network conditions. To this end, it requires a message middleware. MQTT is a client-server based message publish / subscribe transmission protocol. The MQTT protocol is lightweight, simple, open and easy to implement. These features make it very widely applicable in many cases, including restricted environments such as machine-to-machine communication and the Internet of Things. It has been widely used in sensors communicating via satellite links, occasionally dialed medical devices, smart homes, and some miniaturized devices.

[0014] It should be noted that X-NET is a free open source development platform for building a variety of applications. You can use C#, F# or Visual Basic to write .NET applications. .NET is used to generate various types of applications and libraries to develop Web applications, Web APIs and microservices, serverless functions in the cloud, cloud native applications, mobile applications, desktop applications, Windows WPF, Windows Forms, Universal Windows Platform UWP, games, Internet of Things, machine learning, console applications, Windows services, and .NET class libraries share functions among different applications and application types. No matter what type of application you build, the code and project files look the same, and you can access the same runtime, API, and language features for each application.

[0015] It should be noted that Modbus / TCP is Modbus applied on TCP / IP. Modbus / TCP uses registers with the same properties and functions as Modbus, 16-bit unsigned integers and coil bits. Except that the information of Modbus / TCP does not contain the cyclic redundancy check field CRC, all the information of Modbus and Modbus / TCP is the same. Because Modbus is very simple, it can be widely implemented in field equipment systems. Multiple networks refer to more than one network group using different communication media, and a network manager that integrates and controls multiple home appliances in the network group. Modbus is a serial communication protocol that was created for communication using programmable logic controllers (PLCs). Modbus has become the industry standard for communication protocols in the industrial field, and is now a common connection method between industrial electronic equipment. MODBUS serial port servers are widely used communication protocols in the industry. Based on various applications, Modbus has three protocols: RTU, ASCII and TCP. These three protocols are commonly used in industrial equipment. For example, DCS, PLC, HMI, power load measurement instruments and other sensors and measuring instruments.

[0016] It should be noted that A box, or ABox, is a term in computer science and technology, which means information box. In the cloud intelligent manufacturing platform, the eight information processor boxes divided into eight functional modules correspond one by one to the upper and lower level signal feedback of the controller and the server.

[0017] It should be noted that RJ45 is a type of information socket, i.e., communication lead-out connector in the wiring system. The connector consists of a plug, i.e., a connector, a crystal head, and a socket module. The plug has 8 grooves and 8 contacts. RJ is an interface that describes the public telecommunications network. The RJ45 of the computer network is a standard 8-bit modular interface.

[0018] Through the cloud intelligent manufacturing platform, MQTT and HTTP are set up on the cloud to connect to the server signal transmission for two-way feedback, and a firewall is set up between the server and the front external network to prepare for data protection two-way feedback. The cloud allows the server to transmit one-way feedback through eight A-BOX signal instructions through MQTT, X-NET, and Modbus TCP respectively, so that A-BOX can connect the controller signal through the serial port RJ45 for two-way feedback, so as to achieve the data model presentation of the cloud intelligent manufacturing platform and the central control Internet of Things system belonging to the same konjac food engineering control system.

[0019] The central control Internet of Things system is connected to the roof layer, the fourth production line, the third production line, the second production line, and the first production line through five server signal transmissions to control multiple konjac food production projects. The five servers are connected to the controller in series through the serial port. The controller is connected to the split screen: the first human-machine interface and the second human-machine interface control the monitoring probe to display and collect data of the blind spots of floor monitoring. The controller is connected to the split screen: the first human-machine interface and the second human-machine interface control the refined operation feedback server of the equipment. The central control Internet of Things system integrates ventilation and exhaust valves, air-conditioning water and electricity gates, probe monitoring display retrieval, equipment refined control, and assembly line engineering fault alarm functions into an integrated operation through the data automation dashboard.

[0020] The roof layer, four-layer production line, three-layer production line, two-layer production line and one-layer production line are controlled by the central control Internet of Things system, and each equipment component and monitoring component of the roof layer, four-layer production line, three-layer production line, two-layer production line and one-layer production line are connected to the server with standardized buried wires. Finally, a link of serial port and signal is formed through the signal transceiver of the server, and the data integration feedback analysis effect is achieved, thereby improving the smart food engineering control operation of the entire cloud intelligent manufacturing platform corresponding to the central control Internet of Things system.

[0021] The cloud intelligent manufacturing platform is divided into eight functional modules, namely, home page dashboard module, project configuration module, data management module, alarm management module, maintenance work order module, recipe decentralization module, installment management module, and user management module. The cloud intelligent manufacturing platform sets up MQTT and HTTP to connect to the server signal transmission feedback through the cloud. A firewall is set between the server and the front external network for data protection. The server conducts eight A-BOX signal transmission feedback through MQTT, X-NET, and Modbus Tcp respectively. The A-BOX is connected to the controller signal through the serial port RJ45. The cloud intelligent manufacturing platform and the central control Internet of Things system belong to the same konjac food engineering control system.

[0022] It should be noted that the Hypertext Transfer Protocol, or HTTP, is a simple request-response protocol that usually runs on top of TCP. It specifies what kind of messages a client may send to a server and what kind of responses it may get. The headers of the request and response messages are given in ASCII form; the message content has a format similar to MIME. The Hypertext Transfer Protocol is an application layer protocol for distributed, collaborative, and hypermedia information systems. It is the basis for data communication on the World Wide Web (WWW).

[0023] Preferably, the manual boiling line is installed in a link of the three-layer production line, the grouting machines are provided with more than two and are respectively installed in the three-layer production line and the two-layer production line, the vacuum packaging machines are provided with more than two and are respectively installed in the four-layer production line, the three-layer production line and the two-layer production line, the vacuum packaging machine is provided with a first human-machine interface which is a split-screen controller of the layered server of the serial cloud intelligent manufacturing platform, the stretch film packaging machine is installed in the four-layer production line, and the stretch film packaging machine is provided with a second human-machine interface which is a split-screen controller of the layered server of the serial cloud intelligent manufacturing platform.

[0024] The split-screen controller control effect of the cloud manufacturing platform's layered server is demonstrated through the first human-machine interface and the second human-machine interface, and the separate floor servers and controllers are connected in series with the monitors of each sanitary blind spot or konjac food engineering blind spot, improving the orderly operational control effect of the central control Internet of Things system's single-floor management and the overall system's capture management.

[0025] Preferably, the floors of the four-layer production line are arranged with floor servers and multiple controllers. The controller is connected to the four-layer vacuum packaging machine electronic control adapter server to feedback to the cloud intelligent manufacturing platform for data sharing and loading into the central control Internet of Things system. The controller is connected to the stretch film packaging machine electronic control adapter server to feedback to the cloud intelligent manufacturing platform for data sharing and loading into the central control Internet of Things system. The four-layer production line is also equipped with a high-temperature sterilization kettle triple pot, a tumbling machine, an octagonal mixer, a disinfection pool, an air shower equipment, a plastic pallet, an air conditioner, a fan, a low-temperature warehouse, a laboratory, and a sterile room, which are all controlled by various controllers connected in series with the server to execute the instructions of the central control Internet of Things system and the cloud intelligent manufacturing platform. The four-layer production line is divided into a konjac food production project from unpacking to the ingredient room, then to the seasoning room, then to the packaging area, and finally to sterilization.

[0026] Through the regional layout and engineering step layout of the four-layer production line, the equipment placement and space management of the four layers are rationalized, and the corresponding component structure and electronic closed-loop series content all belong to the differentiated data feedback effect of the central control Internet of Things system in the big data intelligent system model.

[0027] Preferably, the floors of the three-layer production line are arranged with floor servers and multiple controllers, the controller is connected to the three-layer vacuum packaging machine electronic control adapter server to feedback to the cloud intelligent manufacturing platform for data sharing and loading into the central control Internet of Things system, the controller is connected to the manual water boiling line electronic control adapter server to feedback to the cloud intelligent manufacturing platform for data sharing and loading into the central control Internet of Things system, the controller is connected to the three-layer grouting machine electronic control adapter server to feedback to the cloud intelligent manufacturing platform for data sharing and loading into the central control Internet of Things system, the three-layer production line is also provided with a soaking barrel, a fermentation barrel, a lifting conveyor, a knotting workshop, a disinfection pool, and an air shower equipment, which are all controlled by various controllers connected in series by the server to execute the instructions of the central control Internet of Things system and the cloud intelligent manufacturing platform, and the three-layer production line is divided into a konjac food production project from unpacking to ingredients to the production line, then to the boxing area and finally to the sealing area, and another konjac food production project from the knotting area to the boxing area and then to the sealing area.

[0028] Through the regional layout and engineering step layout of the three-layer production line, the equipment placement and space management of the three layers are rationalized, and the corresponding component structure and electronic closed-loop series content all belong to the differentiated data feedback effect of the central control Internet of Things system in the big data intelligent system model.

[0029] Preferably, the floors of the second-floor production line are arranged with floor servers and multiple controllers, the controllers are connected to the electronic control adaptation server of the vacuum packaging machine on the second floor to feed back the data to the cloud intelligent manufacturing platform for sharing and loading into the central control Internet of Things system, the controllers are connected to the electronic control adaptation server of the grouting machine on the second floor to feed back the data to the cloud intelligent manufacturing platform for sharing and loading into the central control Internet of Things system, the second-floor production line is also provided with fermentation barrels, bag packaging machines, large packaging conveyor lines, and hoppers, all of which are controlled by various controllers connected in series with the server to execute the instructions of the central control Internet of Things system and the cloud intelligent manufacturing platform, the second-floor production line is divided into a konjac food production project from unpacking to ingredients, then to the production line, then to the boxing area and finally to the sealing area, and another konjac food production project from the manual area to the boxing area and then to the sealing area.

[0030] Through the regional layout of the second-floor production line and the layout of engineering steps, the equipment placement and space management on the second floor are rationalized, and the corresponding component structure and electronic closed-loop series content all belong to the differentiated data feedback effect of the central control Internet of Things system in the big data intelligent system model.

[0031] Preferably, the first-layer production line is equipped with a data automation dashboard, an automated integration area, a packaging material room, a disinfection area, a cooling area, a manual area, an outsourcing area, a stacking storage rack area, and a finished product warehouse, all of which are controlled by video probe monitors connected in series to the server to respectively control the execution of instructions of the central control Internet of Things system and the cloud intelligent manufacturing platform. The comprehensive data of the central control Internet of Things system and the cloud intelligent manufacturing platform are concentrated on the data automation dashboard in the automated integration area. The first-layer production line is divided into a konjac food production project from disinfection to water cooling, then to vibration, then to air cooling, then to re-inspection, then to metal inspection, and finally to boxing.

[0032] Through the regional layout of the production line on one floor and the layout of engineering steps, the equipment placement and space management on one floor are rationalized, and the corresponding component structure and electronic closed-loop series content all belong to the differentiated data feedback effect of the central control Internet of Things system in the big data intelligent system model.

[0033] Preferably, the roof layer is provided with a water storage area, a boiler, a solar panel, and a water purifier. The solar panel absorbs solar energy in the roof layer and converts it into electrical energy to supply the central control Internet of Things system of the konjac food engineering control system. The water storage area is provided with a water tank, a citric acid water tank, a sealed alkaline water tank, and an alkaline water tank. The water tank, the citric acid water tank, the sealed alkaline water tank, and the alkaline water tank are connected to a front water purifier through pipelines in preparation for the implementation of the konjac food water purification project. The water tank, the citric acid water tank, the sealed alkaline water tank, and the alkaline water tank are connected to a rear boiler through pipelines in preparation for the implementation of the konjac food project.

[0034] Through the regional layout of the roof layer and the layout of engineering steps, the equipment placement and space management of the roof layer are rationalized, and the corresponding component structure and electronic closed-loop series content all belong to the differentiated data feedback effect of the central control Internet of Things system in the big data intelligent system model.

[0035] The present invention provides a smart factory management and control system, which has the following beneficial effects:

[0036] The smart factory management and control system uses the cloud intelligent manufacturing platform and the central control Internet of Things system to call multiple servers and multiple controllers, which are distributed in each corner of the first-floor production line, the second-floor production line, the third-floor production line, the fourth-floor production line, and the roof layer and the fifth floor. The controllers are equipped with corresponding monitors to capture the monitoring blind spots, and through the manual boiling line, vacuum packaging machine, grouting machine, stretch film packaging machine and other equipment-side configuration controllers, many controllers can cope with the fine control of data information of a single engineering assembly line in a konjac factory area. When the konjac factory industry distributes multiple konjac engineering assembly lines and personnel control, machine regulation, and konjac factory ventilation and air conditioning When there are multiple systems, the controller summarizes the data to the server on the cloud intelligent manufacturing platform to form an intelligent and refined analysis and operation effect, so that the data collection, processing, statistics and command execution work can be optimized through the central control Internet of Things system, and the system load pressure can be reduced. The big data is divided into multiple small data execution and feedback two-way correction such as the details of the boiled konjac line, so that the system can work stably and reliably with high security. For large-scale data processing, the cloud intelligent manufacturing platform can be dynamically remotely managed, which improves the system operation and processing efficiency, helps to reduce the system's demand for hardware equipment, saves manual mental workload, and enables staff to easily monitor and control the progress of the project. BRIEF DESCRIPTION OF THE DRAWINGS

[0037] Figure 1 A schematic diagram of the overall workflow of the smart factory management and control system of the present invention;

[0038] Figure 2 This is a schematic diagram of the working sequence of the smart factory management and control system of the present invention;

[0039] Figure 3 A schematic diagram of the workflow of the cloud intelligent manufacturing platform of the smart factory management and control system of the present invention;

[0040] Figure 4 A schematic diagram of the server control flow of the smart factory management and control system of the present invention;

[0041] Figure 5 This is a floor plan of a production line of the smart factory management and control system of the present invention;

[0042] Figure 6 This is a plan layout diagram of the second-floor production line of the smart factory management and control system of the present invention;

[0043] Figure 7 This is a three-layer production line layout diagram of the smart factory management and control system of the present invention;

[0044] Figure 8 This is a four-layer production line layout diagram of the smart factory management and control system of the present invention;

[0045] Fig. 9 This is a roofing floor plan of the smart factory management and control system of the present invention;

[0046] Fig.10 This is a schematic diagram of the manual water boiling line structure of the smart factory management and control system of the present invention;

[0047] Fig.11 This is a schematic diagram of the structure of a five-station vacuum packaging machine of the smart factory management and control system of the present invention;

[0048] Fig.12 This is a schematic diagram of the structure of a stretch film vacuum packaging machine equipped with a parallel robot in the smart factory management and control system of the present invention.

[0049] In the picture: cloud intelligent manufacturing platform, server, controller, central control Internet of Things system, first-floor production line, second-floor production line, third-floor production line, fourth-floor production line, roofing layer, manual boiling line 1, vacuum packaging machine 2, grouting machine 3, stretch film packaging machine 4. DETAILED DESCRIPTION

[0050] 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. Embodiment 1:

[0051] Since the existing big data control system can only cope with the fine control of data information of a single engineering assembly line within a konjac plant, when multiple konjac assembly lines involve personnel control, konjac processing machine regulation, konjac plant ventilation and air-conditioning systems and other systems, the collection, processing, statistics and command execution of konjac processing data are difficult to meet.

[0052] See also Figure 1-Figure 12The present invention provides a smart factory management and control system, including a cloud intelligent manufacturing platform, a server, a controller, a central control Internet of Things system, a first-layer production line, a second-layer production line, a third-layer production line, a fourth-layer production line, a roof layer, a manual boiling line 1, a vacuum packaging machine 2, a grouting machine 3, and a stretch film packaging machine 4. The central control Internet of Things system is provided with a hierarchical control server for the roof layer, the fourth-layer production line, the third-layer production line, the second-layer production line, a roof surface of the first-layer production line, and four floors from top to bottom. The server signal transmission docking cloud intelligent manufacturing platform data is fed back to the central control Internet of Things system. The cloud intelligent manufacturing platform and the central control Internet of Things system constitute a konjac food engineering control system that is responsible for the roof layer, the fourth-layer production line, the third-layer production line, the second-layer production line, a roof surface of the first-layer production line, and the konjac food engineering work from four floors from top to bottom.

[0053] It should be noted that by allocating different servers on the cloud side of the cloud intelligent manufacturing platform to transmit and feedback the signal data of different project progress on different floors of the konjac food factory, the intelligent data link of the system construction framework is clear, the circuit closed loop is reasonable, and the hierarchical and step-by-step management is stable.

[0054] The roof layer, the four-layer production line, the three-layer production line, the two-layer production line, the roof surface of the one-layer production line and the four floors are respectively arranged with manual boiling line 1, vacuum packaging machine 2, grouting machine 3, and stretch film packaging machine 4 equipment from top to bottom. The central control Internet of Things system connects to the controllers of the manual boiling line 1, vacuum packaging machine 2, grouting machine 3, and stretch film packaging machine 4 equipment through the serial port electronic control of the server to realize the control of the equipment and floor split screen by the central control screen. The controller of the manual boiling line 1 feeds back accurate data to the server and uploads it to the cloud intelligent manufacturing platform and the central control Internet of Things system to realize system forward control and reverse refined feedback action.

[0055] It should be noted that, through the split screen of the controller electronic control equipment corresponding to the main screen of the central control Internet of Things system, the tree diagram division effect of the main screen grabbing the total konjac food engineering data analysis and the split screen grabbing the divided konjac food engineering data analysis is realized, and the differentiation and classification of big data are accurately processed, which improves the precise control of the overall konjac food engineering processing progress.

[0056] The manual boiling line 1 is installed in a link of the three-layer production line, the grouting machine 3 is provided with more than two and is respectively installed in the three-layer production line and the two-layer production line, the vacuum packaging machine 2 is provided with more than two and is respectively installed in the four-layer production line, the three-layer production line and the two-layer production line, the vacuum packaging machine 2 is provided with a first human-machine interface 21, which is a split-screen controller of the layered server of the serial cloud intelligent manufacturing platform, the stretch film packaging machine 4 is installed in the four-layer production line, and the stretch film packaging machine 4 is provided with a second human-machine interface 41, which is a split-screen controller of the layered server of the serial cloud intelligent manufacturing platform.

[0057] It should be noted that the split-screen controller control effect of the cloud manufacturing platform layered server is demonstrated through the first human-machine interface 21 and the second human-machine interface 41, and the monitors of various sanitary blind spots or konjac food engineering blind spots are connected in series on individual floors to improve the orderly operation control effect of single-floor management and overall system capture management.

[0058] It should be noted that the vacuum packaging machine 2 corresponding to the first human-machine interface 21 is a cloud-connected cloud intelligent manufacturing platform for bag packaging operations on a single area of ​​konjac processing after boiling, and the data sharing is loaded into the central control Internet of Things system to control the innovative double feedback and two-way correction operation; the stretch film packaging machine 4 corresponding to the second human-machine interface 41 is a cloud-connected cloud intelligent manufacturing platform for bag packaging operations on a single area of ​​konjac processing after boiling, and the data sharing is loaded into the central control Internet of Things system to control the innovative double feedback and two-way correction operation; the manual boiling line 1 is a cloud-connected cloud intelligent manufacturing platform for boiling operations on a single area of ​​konjac processing during boiling, and the data sharing is loaded into the central control Internet of Things system to control the innovative double feedback and two-way correction operation.

[0059] When the smart konjac food engineering control system is working, multiple servers and multiple controllers are called through the cloud intelligent manufacturing platform and the central control Internet of Things system to be distributed in each corner of the first-floor production line, the second-floor production line, the third-floor production line, the fourth-floor production line, and the roof layer and the fifth floor. The controllers are equipped with corresponding monitors to capture the monitoring blind spots, and the controllers are configured through a series of equipment ends such as the manual boiling line 1, the vacuum packaging machine 2, the grouting machine 3, and the stretch film packaging machine 4, so that many controllers can cope with the fine control of the data information of a single engineering assembly line in a konjac factory area. When the konjac factory industry is distributed with multiple konjac engineering assembly lines and personnel control, machine regulation, and konjac factory ventilation and air-conditioning systems, the controller summarizes the data to the server on the cloud intelligent manufacturing platform to form a smart and refined analysis and operation effect, so that the data collection, processing, statistics, and command and execution work can be satisfied and optimized through the central control Internet of Things system. Embodiment 2:

[0060] Due to the lack of preliminary processing, digestion and feedback of konjac processing data, the system burden will increase when later managers retrieve and screen detailed point data such as the boiled line of konjac shreds, and human brainpower is required to cooperate in screening and judging the defect of the surge in processing data volume.

[0061] See also Figure 1-Figure 12The present invention provides a smart factory management and control system. The floors of the four-story production line are arranged with floor servers and multiple controllers. The controller is connected to the four-story vacuum packaging machine 2 electronic control adaptation server to feedback to the cloud intelligent manufacturing platform for data sharing and loading into the central control Internet of Things system. The controller is connected to the stretch film packaging machine 4 electronic control adaptation server to feedback to the cloud intelligent manufacturing platform for data sharing and loading into the central control Internet of Things system. The four-story production line is also equipped with a high-temperature sterilization kettle triple pot, a tumbling machine, an octagonal mixer, a disinfection pool, an air shower equipment, a plastic pallet, an air conditioner, a fan, a low-temperature warehouse, a laboratory, and a sterile room. Each controller connected in series with the server controls the execution of the instructions of the central control Internet of Things system and the cloud intelligent manufacturing platform. The four-story production line is divided into a konjac food production project from unpacking to the ingredient room, then to the seasoning room, then to the packaging area, and finally to sterilization.

[0062] It should be noted that the regional layout and engineering step layout of the four-layer production line make the equipment placement and space management of the four layers rationalized, and the corresponding component structure and electronic closed-loop series content all belong to the differentiated data feedback effect of the central control Internet of Things system in the big data intelligent system model.

[0063] The floors of the three-layer production line are arranged with floor servers and multiple controllers, the controller is connected to the three-layer vacuum packaging machine 2 electronic control adaptation server to feedback to the cloud intelligent manufacturing platform for data sharing and loading into the central control Internet of Things system, the controller is connected to the manual boiling line 1 electronic control adaptation server to feedback to the cloud intelligent manufacturing platform for data sharing and loading into the central control Internet of Things system, the controller is connected to the three-layer grouting machine 3 electronic control adaptation server to feedback to the cloud intelligent manufacturing platform for data sharing and loading into the central control Internet of Things system, the three-layer production line is also provided with a soaking barrel, a fermentation barrel, a lifting conveyor, a knotting workshop, a disinfection pool, and an air shower equipment, which are all controlled by various controllers connected in series by the server to execute the instructions of the central control Internet of Things system and the cloud intelligent manufacturing platform, the three-layer production line is divided into a konjac food production project from unpacking to ingredients to the production line, then to the boxing area and finally to the sealing area, and another konjac food production project from the knotting area to the boxing area and then to the sealing area.

[0064] It should be noted that the regional layout and engineering step layout of the three-layer production line make the equipment placement and space management of the three layers rationalized, and the corresponding component structure and electronic closed-loop series content all belong to the differentiated data feedback effect of the central control Internet of Things system in the big data intelligent system model.

[0065] The floors of the second-floor production line are arranged with floor servers and multiple controllers, the controller is connected to the second-floor vacuum packaging machine 2 electronic control adaptation server to feedback to the cloud intelligent manufacturing platform for data sharing and loading into the central control Internet of Things system, the controller is connected to the second-floor grouting machine 3 electronic control adaptation server to feedback to the cloud intelligent manufacturing platform for data sharing and loading into the central control Internet of Things system, the second-floor production line is also provided with a fermentation barrel, a bag packaging machine, a large packaging conveyor line, and a hopper, which are all controlled by various controllers connected in series with the server to execute the instructions of the central control Internet of Things system and the cloud intelligent manufacturing platform, the second-floor production line is divided into a konjac food production project from unpacking to ingredients, then to the production line, then to the boxing area and finally to the sealing area, and another konjac food production project from the manual area to the boxing area and then to the sealing area.

[0066] It should be noted that the regional layout and engineering step layout of the second-floor production line make the equipment placement and space management on the second floor rationalized, and the corresponding component structure and electronic closed-loop series content all belong to the differentiated data feedback effect of the central control Internet of Things system in the big data intelligent system model.

[0067] The first-layer production line is equipped with a data automation dashboard, an automated integration area, a packaging material room, a disinfection area, a cooling area, a manual area, an outsourcing area, a stacking storage rack area, and a finished product warehouse, all of which are controlled by video probe monitors connected in series to the server and respectively control the execution of instructions from the central control Internet of Things system and the cloud intelligent manufacturing platform. The comprehensive data of the central control Internet of Things system and the cloud intelligent manufacturing platform are concentrated on the data automation dashboard in the automated integration area. The first-layer production line is divided into a konjac food production project from disinfection to water cooling, then vibration, then air cooling, then re-inspection, then metal inspection, and finally boxing.

[0068] It should be noted that the regional layout of the production line and the engineering step layout of the first floor make the equipment placement and space management of the first floor rationalized, and the corresponding component structure and electronic closed-loop series content all belong to the differentiated data feedback effect of the central control Internet of Things system in the big data intelligent system model.

[0069] The roof layer is provided with a water storage area, a boiler, a solar panel, and a water purifier. The solar panel absorbs solar energy on the roof layer and converts it into electrical energy to supply the central control Internet of Things system of the konjac food engineering control system. The water storage area is provided with a water tank, a citric acid water tank, a sealed alkaline water tank, and an alkaline water tank. The water tank, the citric acid water tank, the sealed alkaline water tank, and the alkaline water tank are connected with a front-end water purifier through pipes to prepare for the implementation of the konjac food water purification project. The water tank, the citric acid water tank, the sealed alkaline water tank, and the alkaline water tank are connected with a rear-end boiler through pipes to prepare for the implementation of the konjac food project.

[0070] It should be noted that the equipment placement and space management of the roof layer are rationalized through the regional layout of the roof layer and the layout of engineering steps, and the corresponding component structure and electronic closed-loop series content all belong to the differentiated data feedback effect of the central control Internet of Things system in the big data intelligent system model.

[0071] It should be noted that the four-layer production line is divided into a konjac food production project from unpacking to the ingredients room, then to the seasoning room, then to the packaging area, and finally to the sterilization; the three-layer production line is divided into a konjac food production project from unpacking to the ingredients, then to the production line, then to the boxing area, and finally to the sealing area, and another konjac food production project from the knotting area to the boxing area and then to the sealing area; the two-layer production line is divided into a konjac food production project from unpacking to the ingredients, then to the production line, then to the boxing area, and finally to the sealing area, and another konjac food production project from the manual area to the boxing area and then to the sealing area; the first-layer production line is divided into a konjac food production project from disinfection to water cooling, then to vibration, then to air cooling, then to re-inspection, then to metal inspection, and finally to boxing. The progress of different konjac food production projects on the four floors is loaded into the central control Internet of Things system through the cloud-based cloud intelligent manufacturing platform data sharing to control the innovative dual-feedback two-way correction operation.

[0072] When the smart konjac food engineering control system is working, multiple servers and multiple controllers are called through the cloud intelligent manufacturing platform and the central control Internet of Things system to be distributed in each corner of the first floor production line, the second floor production line, the third floor production line, the fourth floor production line, and the roof layer and the fifth floor. The controllers are equipped with corresponding monitors to capture the monitoring blind spots, and through the manual boiling line 1, vacuum packaging machine 2, grouting machine 3, stretch film packaging machine 4 and other series of equipment end configuration controllers, so that many controllers can cope with the single engineering assembly line data information control in a konjac factory area. When the konjac factory industry distributes multiple konjac engineering assembly lines and personnel control, machine regulation, and konjac plant When there are multiple ventilation and air-conditioning systems, the controller summarizes the data to the server on the cloud intelligent manufacturing platform to form intelligent and refined analysis and operation effects, so that the data collection, processing, statistics and command execution work can be optimized through the central control Internet of Things system, and the system load pressure can be reduced. The big data is divided into multiple small data execution and feedback two-way correction such as the details of the boiled konjac line, so that the system can work stably and reliably with high security. For large-scale data processing, the cloud intelligent manufacturing platform can be dynamically remotely managed, which improves the system operation and processing efficiency, helps to reduce the system's demand for hardware equipment, saves manual mental load, and enables staff to easily monitor and control the progress of the project. Embodiment 3:

[0073] Because the conventional konjac factory control system will increase the system equipment hardware data insertion cost and manual labor cost, and managers also have to calibrate the accuracy of information on-site, they cannot obtain accurate data and real-time feedback effects.

[0074] See also Figure 1-Figure 12 The present invention provides a smart factory management and control system. The central control Internet of Things system connects to the roof layer, the fourth production line, the third production line, the second production line, and the first production line through five server signal transmissions to control multiple konjac food production projects. The five servers are connected to the controller in series through the serial port. The controller connects to the split screen: the first human-machine interface 21 and the second human-machine interface 41 control the monitoring probe to display and collect data of the floor monitoring blind spot. The controller connects to the split screen: the first human-machine interface 21 and the second human-machine interface 41 control the equipment fine operation feedback server. The central control Internet of Things system integrates ventilation and exhaust valves, air conditioning water and electricity gates, probe monitoring display retrieval, equipment fine control, and assembly line engineering fault alarm functions into an integrated operation through a data automation dashboard.

[0075] It should be noted that the roof layer, four-layer production line, three-layer production line, two-layer production line and one-layer production line are controlled by the central control Internet of Things system, and the various equipment components and monitoring components of the roof layer, four-layer production line, three-layer production line, two-layer production line and one-layer production line are connected to the server with standardized buried wires. Finally, a link of serial port and signal is formed through the signal transceiver of the server, and the data integration feedback analysis effect is achieved, thereby improving the smart food engineering control operation of the entire cloud intelligent manufacturing platform corresponding to the central control Internet of Things system.

[0076] The cloud intelligent manufacturing platform is divided into eight functional modules, namely, home page dashboard module, project configuration module, data management module, alarm management module, maintenance work order module, recipe decentralization module, installment management module, and user management module. The cloud intelligent manufacturing platform sets up MQTT and HTTP to connect to the server signal transmission feedback through the cloud. A firewall is set between the server and the front external network for data protection. The server conducts eight A-BOX signal transmission feedback through MQTT, X-NET, and Modbus Tcp respectively. The A-BOX is connected to the controller signal through the serial port RJ45. The cloud intelligent manufacturing platform and the central control Internet of Things system belong to the same konjac food engineering control system.

[0077] It should be noted that the Hypertext Transfer Protocol, or HTTP, is a simple request-response protocol that usually runs on top of TCP. It specifies what kind of messages a client may send to a server and what kind of responses it may get. The headers of the request and response messages are given in ASCII form; the message content has a format similar to MIME. The Hypertext Transfer Protocol is an application layer protocol for distributed, collaborative, and hypermedia information systems. It is the basis for data communication on the World Wide Web (WWW).

[0078] Working principle of HTTP: HTTP is based on the client / server model and is connection-oriented. A typical HTTP transaction has the following process: (1) The client establishes a connection with the server; (2) The client makes a request to the server; (3) The server accepts the request and returns the corresponding file as a response based on the request; (4) The client and the server close the connection.

[0079] The HTTP connection between the client and the server is a one-time connection, which limits each connection to only one request. When the server returns the response to this request, it will immediately close the connection and re-establish the connection for the next request. This one-time connection is mainly considered that the WWW server faces thousands of users on the Internet and can only provide a limited number of connections. Therefore, the server will not keep a connection in a waiting state. Releasing the connection in time can greatly improve the execution efficiency of the server.

[0080] HTTP is a stateless protocol, that is, the server does not retain any state when transacting with the client. This greatly reduces the server's memory burden, thereby maintaining a faster response speed. HTTP is an object-oriented protocol that allows the transmission of any type of data object. It identifies the content and size of the transmitted data by data type and length, and allows compressed data transmission. When a user defines a hypertext link in an HTML document, the browser will establish a connection with the specified server through the TCP / IP protocol.

[0081] HTTP supports persistent connections. In HTTP / 0.9 and 1.0, the connection is closed after a single request / response pair. In HTTP / 1.1, a keep-alive mechanism was introduced where the connection can be reused for multiple requests. Such persistent connections can significantly reduce request latency because the client does not need to renegotiate the TCP 3-Way-Handshake connection after sending the first request. Another positive side effect is that, in general, connections become faster over time due to TCP's slow start mechanism.

[0082] Version 1.1 of the protocol also introduced bandwidth optimization improvements to HTTP / 1.0. For example, HTTP / 1.1 introduced chunked transfer encoding to allow streaming rather than buffering content on persistent connections, and HTTP pipelining further reduced latency by allowing clients to send multiple requests before waiting for each response. Another additional feature of the protocol is byte serving, where the server transmits only the parts of a resource that the client explicitly requested.

[0083] Technically speaking, the client opens a socket on a specific TCP port (usually port 80). If the server has been listening for connections on this well-known port, the connection will be established, and then the client sends a request block containing the request method through the connection.

[0084] The HTTP specification defines nine request methods. Each request method specifies a different way of exchanging information between the client and the server. Commonly used request methods are GET and POST. The server will complete the corresponding operation based on the client's request, return it to the client in the form of a response block, and finally close the connection.

[0085] How HTTP works: In the WWW, "client" and "server" are relative concepts and only exist during a specific connection. That is, a client in one connection may act as a server in another connection. The information exchange process based on the HTTP client / server model is divided into four processes: establishing a connection, sending request information, sending response information, and closing the connection.

[0086] HTTP is based on the request / response paradigm. After a client establishes a connection with a server, it sends a request to the server. The format of the request is a uniform resource identifier, a protocol version number, followed by MIME information including request modifiers, client information and possible content. After receiving the request, the server gives the corresponding response information. Its format is a status line including the protocol version number of the information, a success or error code, followed by MIME information including server information, entity information and possible content. In fact, to put it simply, any server, in addition to HTML files, also has an HTTP resident program to respond to user requests. Your browser is an HTTP client that sends a request to the server. When a start file is entered in the browser or a hyperlink is clicked, the browser sends an HTTP request to the server. This request is sent to the URL specified by the IP address. The resident program receives the request and returns the requested file after performing necessary operations. In this process, the data sent and received on the network has been divided into one or more data packets. Each data packet includes: data to be transmitted; control information, that is, telling the network how to handle the data packet. TCP / IP determines the format of each data packet, so that the information is divided into many small pieces for transmission and reassembly.

[0087] Most HTTP communications are initiated by a user agent and involve a request for a resource on an origin server. In the simplest case this is probably accomplished over a single connection between the user agent and the origin server.

[0088] When one or more intermediaries appear in the request / response chain, the situation becomes more complicated. There are three types of intermediaries: proxies, gateways, and channels. A proxy accepts requests based on the absolute format of the URI, rewrites all or part of the message, and sends the formatted request to the server through the URI identifier. A gateway is a receiving agent that acts as an upper layer of some other server and can translate the request to the lower layer server protocol if necessary. A channel acts as a relay point between two connections that does not change the message. Channels are often used when communication needs to pass through an intermediary (such as a firewall, etc.) or when the intermediary cannot recognize the content of the message.

[0089] It should be noted that MQTT message queue telemetry transmission is a message protocol based on the publish / subscribe paradigm under the ISO standard. It works on top of the TCP / IP protocol and is a publish / subscribe message protocol designed for remote devices with low hardware performance and poor network conditions. To this end, it requires a message middleware. MQTT is a client-server based message publish / subscribe transmission protocol. The MQTT protocol is lightweight, simple, open and easy to implement. These features make it very widely applicable in many cases, including restricted environments such as machine-to-machine communication and the Internet of Things. It has been widely used in sensors communicating via satellite links, occasionally dialed medical devices, smart homes, and some miniaturized devices.

[0090] It should be noted that X-NET is a free open source development platform for building a variety of applications. You can use C#, F# or Visual Basic to write .NET applications. .NET is used to generate various types of applications and libraries to develop Web applications, Web APIs and microservices, serverless functions in the cloud, cloud native applications, mobile applications, desktop applications, Windows WPF, Windows Forms, Universal Windows Platform UWP, games, Internet of Things, machine learning, console applications, Windows services, and .NET class libraries share functions among different applications and application types. No matter what type of application you build, the code and project files look the same, and you can access the same runtime, API, and language features for each application.

[0091] It should be noted that Modbus / TCP is Modbus applied on TCP / IP. Modbus / TCP uses registers with the same properties and functions as Modbus, 16-bit unsigned integers and coil bits. Except that the information of Modbus / TCP does not contain the cyclic redundancy check field CRC, all the information of Modbus and Modbus / TCP is the same. Because Modbus is very simple, it can be widely implemented in field equipment systems. Multiple networks refer to more than one network group using different communication media, and a network manager that integrates and controls multiple home appliances in the network group. Modbus is a serial communication protocol that was created for communication using programmable logic controllers (PLCs). Modbus has become the industry standard for communication protocols in the industrial field, and is now a common connection method between industrial electronic equipment. MODBUS serial port servers are widely used communication protocols in the industry. Based on various applications, Modbus has three protocols: RTU, ASCII and TCP. These three protocols are commonly used in industrial equipment. For example, DCS, PLC, HMI, power load measurement instruments and other sensors and measuring instruments.

[0092] It should be noted that A box, or ABox, is a term in computer science and technology, which means information box. In the cloud intelligent manufacturing platform, the eight information processor boxes divided into eight functional modules correspond one by one to the upper and lower level signal feedback of the controller and the server.

[0093] It should be noted that RJ45 is a type of information socket, i.e., communication lead-out connector in the wiring system. The connector consists of a plug, i.e., a connector, a crystal head, and a socket module. The plug has 8 grooves and 8 contacts. RJ is an interface that describes the public telecommunications network. The RJ45 of the computer network is a standard 8-bit modular interface.

[0094] It should be noted that the cloud intelligent manufacturing platform and the central control Internet of Things system are a dual back-end, a cloud remote control and a factory local control Internet of Things integrated control, so that the cloud intelligent manufacturing platform and the central control Internet of Things system dual-core system unified series layered server decentralization coordinated scheduling of multiple controllers, to achieve the cloud and system to the server to the controller two-way feedback effect, forming an innovative dual feedback two-way correction operation.

[0095] It should be noted that the cloud-based intelligent manufacturing platform is used to connect the cloud to set up MQTT and HTTP to connect to the server signal transmission for two-way feedback, and a firewall is set between the server and the front external network to prepare for data protection two-way feedback. The cloud allows the server to transmit one-way feedback through eight A-BOX signal instructions through MQTT, X-NET, and Modbus Tcp respectively, so that A-BOX is connected to the controller signal through the serial port RJ45 for two-way feedback, so as to achieve the data model presentation of the cloud-based intelligent manufacturing platform and the central control Internet of Things system belonging to the same konjac food engineering control system.

[0096] When the smart konjac food engineering control system is working, multiple servers and multiple controllers are called through the cloud intelligent manufacturing platform and the central control Internet of Things system to be distributed in each corner of the first floor production line, the second floor production line, the third floor production line, the fourth floor production line, and the roof layer and the fifth floor. The controllers are equipped with corresponding monitors to capture the monitoring blind spots, and through the manual boiling line 1, vacuum packaging machine 2, grouting machine 3, stretch film packaging machine 4 and other series of equipment end configuration controllers, so that many controllers can cope with the single engineering assembly line data information control in a konjac factory area. When the konjac factory industry distributes multiple konjac engineering assembly lines and personnel control, machine regulation, and konjac plant When there are multiple ventilation and air-conditioning systems, the controller summarizes the data to the server on the cloud intelligent manufacturing platform to form intelligent and refined analysis and operation effects, so that the data collection, processing, statistics and command execution work can be optimized through the central control Internet of Things system, and the system load pressure can be reduced. The big data is divided into multiple small data execution and feedback two-way correction such as the details of the boiled konjac line, so that the system can work stably and reliably with high security. For large-scale data processing, the cloud intelligent manufacturing platform can be dynamically remotely managed, which improves the system operation and processing efficiency, helps to reduce the system's demand for hardware equipment, saves manual mental load, and enables staff to easily monitor and control the progress of the project.

[0097] The above description is only a specific implementation manner of the present application, but the protection scope of the present application is not limited thereto. Any technician familiar with the technical field can easily think of changes or substitutions within the technical scope disclosed in the present application, which should be included in the protection scope of the present application.

Claims

1. Smart factory management and control system, characterized by: It comprises a cloud intelligent manufacturing platform, a server, a controller, a central control Internet of Things system, a first-layer production line, a second-layer production line, a third-layer production line, a fourth-layer production line, a roof layer, a manual boiling line (1), a vacuum packaging machine (2), a grouting machine (3), and a stretch film packaging machine (4). The central control Internet of Things system is provided with a hierarchical control server for the roof layer, the fourth-layer production line, the third-layer production line, the second-layer production line, a roof surface of the first-layer production line, and four floors from top to bottom. The server signal transmission is connected to the cloud intelligent manufacturing platform data and fed back to the central control Internet of Things system. The cloud intelligent manufacturing platform and the central control Internet of Things system constitute a konjac food engineering control system that is responsible for the roof layer, the fourth-layer production line, the third-layer production line, the second-layer production line, a roof surface of the first-layer production line, and four floors from top to bottom, and the konjac food engineering work; The roof layer, the fourth-floor production line, the third-floor production line, the second-floor production line, the roof surface of the first-floor production line and the four floors are respectively provided with manual water boiling lines (1), vacuum packaging machines (2), grouting machines (3) and stretch film packaging machines (4) from top to bottom. The central control Internet of Things system is connected to the controllers of the manual water boiling lines (1), vacuum packaging machines (2), grouting machines (3) and stretch film packaging machines (4) through the serial port electronic control of the server to realize the central control screen to control the equipment and the floor split screen. The controller of the manual water boiling line (1) feeds back accurate data to the server to upload to the cloud intelligent manufacturing platform and the central control Internet of Things system to realize the system forward control and reverse fine-grained feedback action. The central control Internet of Things system is connected to the roof layer, the fourth floor production line, the third floor production line, the second floor production line, and the first floor production line through five server signal transmissions to control multiple konjac food production projects. The five servers are connected to the controller via a serial port. The controller is connected to the split screen: the first human-machine interface (21) and the second human-machine interface (41) control the monitoring probe to display and collect data of the floor monitoring blind spot. The controller is connected to the split screen: the first human-machine interface (21) and the second human-machine interface (41) control the equipment refined operation feedback server. The central control Internet of Things system integrates ventilation and exhaust valves, air conditioning water and electricity gates, probe monitoring display retrieval, equipment refined control, and assembly line engineering fault alarm functions into an integrated operation through a data automation dashboard; The cloud intelligent manufacturing platform is divided into eight functional modules, namely, home page dashboard module, project configuration module, data management module, alarm management module, maintenance work order module, recipe decentralization module, installment management module, and user management module. The cloud intelligent manufacturing platform sets up MQTT and HTTP to connect to the server signal transmission feedback through the cloud. A firewall is set between the server and the front external network for data protection. The server conducts eight A-BOX signal transmission feedback through MQTT, X-NET, and Modbus Tcp respectively. The A-BOX is connected to the controller signal through the serial port RJ45. The cloud intelligent manufacturing platform and the central control Internet of Things system belong to the same konjac food engineering control system.

2. The smart factory management and control system according to claim 1, characterized in that: The manual boiling line (1) is installed in a link of the three-layer production line, the grouting machine (3) is provided with more than two and is respectively installed in the three-layer production line and the two-layer production line, the vacuum packaging machine (2) is provided with more than two and is respectively installed in the four-layer production line, the three-layer production line and the two-layer production line, the vacuum packaging machine (2) is provided with a first human-machine interface (21) which is a split-screen controller of the layered server of the serial cloud intelligent manufacturing platform, the stretch film packaging machine (4) is installed in the four-layer production line, and the stretch film packaging machine (4) is provided with a second human-machine interface (41) which is a split-screen controller of the layered server of the serial cloud intelligent manufacturing platform.

3. The smart factory management and control system according to claim 1, characterized in that: The floors of the four-layer production line are arranged with floor servers and multiple controllers. The controller is connected to the vacuum packaging machine (2) on the fourth floor. The electronic control adaptation server feeds back to the cloud intelligent manufacturing platform for data sharing and loading into the central control Internet of Things system. The controller is connected to the stretch film packaging machine (4). The electronic control adaptation server feeds back to the cloud intelligent manufacturing platform for data sharing and loading into the central control Internet of Things system. The four-layer production line is also equipped with a high-temperature sterilization kettle triple pot, a tumbling machine, an octagonal mixer, a disinfection pool, an air shower equipment, a plastic pallet, an air conditioner, a fan, a low-temperature warehouse, a laboratory, and a sterile room. Each controller connected in series with the server controls and executes the instructions of the central control Internet of Things system and the cloud intelligent manufacturing platform. The four-layer production line is divided into a konjac food production project from unpacking to the ingredient room, then to the seasoning room, then to the packaging area, and finally to sterilization.

4. The smart factory management and control system according to claim 1, characterized in that: The floors of the three-layer production line are arranged with floor servers and multiple controllers. The controller is connected to the vacuum packaging machine (2) on the third floor. The electronic control adaptation server feeds back to the cloud intelligent manufacturing platform for data sharing and loading into the central control Internet of Things system. The controller is connected to the manual water boiling line (1). The electronic control adaptation server feeds back to the cloud intelligent manufacturing platform for data sharing and loading into the central control Internet of Things system. The controller is connected to the grouting machine (3) on the third floor. The electronic control adaptation server feeds back to the cloud intelligent manufacturing platform for data sharing and loading into the central control Internet of Things system. The three-layer production line is also provided with a soaking barrel, a fermentation barrel, a lifting conveyor, a knotting workshop, a disinfection pool, and an air shower equipment. Each controller connected in series with the server controls the execution of the instructions of the central control Internet of Things system and the cloud intelligent manufacturing platform. The three-layer production line is divided into a konjac food production project from unpacking to ingredients, then to the production line, then to the boxing area, and finally to the sealing area, and another konjac food production project from the knotting area to the boxing area and then to the sealing area.

5. The smart factory management and control system according to claim 1, characterized in that: The floor of the second-floor production line is provided with a floor server and a plurality of controllers. The controller is connected to the vacuum packaging machine (2) on the second floor and the electronic control adaptation server feeds back to the cloud intelligent manufacturing platform for data sharing and loading into the central control Internet of Things system. The controller is connected to the grouting machine (3) on the second floor and the electronic control adaptation server feeds back to the cloud intelligent manufacturing platform for data sharing and loading into the central control Internet of Things system. The second-floor production line is also provided with a fermentation barrel, a bag packaging machine, a large packaging conveyor line, and a hopper, which are controlled by various controllers connected in series with the server to respectively execute the instructions of the central control Internet of Things system and the cloud intelligent manufacturing platform. The second-floor production line is divided into a konjac food production project from unpacking to ingredients, then to the production line, then to the boxing area, and finally to the sealing area, and another konjac food production project from the manual area to the boxing area and then to the sealing area.

6. The smart factory management and control system according to claim 1, characterized in that: The first-layer production line is equipped with a data automation dashboard, an automated integration area, a packaging material room, a disinfection area, a cooling area, a manual area, an outsourcing area, a stacking storage rack area, and a finished product warehouse, all of which are controlled by video probe monitors connected in series to the server and respectively control the execution of instructions from the central control Internet of Things system and the cloud intelligent manufacturing platform. The comprehensive data of the central control Internet of Things system and the cloud intelligent manufacturing platform are concentrated on the data automation dashboard in the automated integration area. The first-layer production line is divided into a konjac food production project from disinfection to water cooling, then vibration, then air cooling, then re-inspection, then metal inspection, and finally boxing.

7. The smart factory management and control system according to claim 1, characterized in that: The roof layer is provided with a water storage area, a boiler, a solar panel, and a water purifier. The solar panel absorbs solar energy on the roof layer and converts it into electrical energy to supply the central control Internet of Things system of the konjac food engineering control system. The water storage area is provided with a water tank, a citric acid water tank, a sealed alkaline water tank, and an alkaline water tank. The water tank, the citric acid water tank, the sealed alkaline water tank, and the alkaline water tank are connected with a front-end water purifier through pipes to prepare for the implementation of the konjac food water purification project. The water tank, the citric acid water tank, the sealed alkaline water tank, and the alkaline water tank are connected with a rear-end boiler through pipes to prepare for the implementation of the konjac food project.

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