Multi-controller cooperative control system and control method

Abstract

The invention discloses a multi-controller cooperative control system and control method, and the method comprises the steps: marking controllers, and building a priority sequential control mode; confirming a basic access control mode of the data decision center based on the priority sequential control mode; based on a main control center, a control decision center and a data management center of a human brain are established, an optimal control algorithm is established, and a decision and interference control mode of an external control mode is realized; and a friendly control interface and a communication mode are established to realize multi-cooperative cluster control. By using the method, the development cost, the inventory cost and the secondary development cost can be reduced, and gradual standardization of non-standard industry application is realized.

Description

Technical Field

[0001] The present invention relates to the field of electrical technology, and in particular to a multi-controller collaborative control system and a control method. Background Art

[0002] In the development of my country's industry, all of them are independent applications, and the information island control methods are established. How to use "artificial intelligence +" control technology to realize the "artificial intelligence +" control technology in the face of future decision-making and control methods, realize the cross-disciplinary and disciplinary integration of artificial intelligence + basic control disciplines, and establish rapid industrialization applications. In the future industrialization path, scientific and intelligent decision-making application ideas can be realized. And it can quickly establish AI intelligent learning and autonomous learning models, and adapt them to the industries in need, establish an industrial optimization ecosystem, adapt more basic industrial control methods, and effectively combine to complete the modernization of industrial control systems, which will greatly shorten the project's R&D cycle and improve the quality of project implementation.

[0003] In the prior art, this field has problems such as long development cycle, high development cost, difficulty in secondary upgrading of product development, and complexity of upgrading to intelligent system. Summary of the invention

[0004] In order to solve the above technical problems, the present invention proposes a multi-controller collaborative control system and control method to achieve innovative breakthrough applications in the fields of Internet of Things and new agriculture, electronic medical care, industrial interconnection, cross-disciplinary research between food engineering and traditional Chinese medicine, agricultural experimental research, new energy, environmental protection and energy conservation research, artificial intelligence, electronic bionics, etc.

[0005] On the one hand, to achieve the above-mentioned object, the present invention provides a multi-controller collaborative control system, including: a receiver, a genetic evolution module, a control decision module, a functional module, a controller, a receiver and a sequential control unit, wherein:

[0006] Receiver: used to receive data;

[0007] Genetic evolution module: used for implantation control of data depth algorithms and artificial intelligence algorithms, and for learning and training of AI models;

[0008] Control decision module: used to make intelligent decisions on execution components;

[0009] Functional module: used to complete the actuator of the target detection device and optimize the control structure;

[0010] Controller: used to implement and apply real-time operating systems;

[0011] Transmitter: used to send data;

[0012] Sequential control unit: used to control the implementation of priority through preset programs.

[0013] On the other hand, to achieve the above object, the present invention also provides a multi-controller collaborative control method, based on different multi-controller collaborative control methods applied to the actual transformation structure, including:

[0014] Based on different multi-controller cooperative control methods applied to the actual transformation structure, specifically:

[0015] Label the controllers and establish a priority sequential control mode;

[0016] Based on the priority sequential control mode, confirm the basic access control method of the multi-controller collaborative control system;

[0017] Based on the main control center, establish the control decision center and data management center of the human brain, establish the optimal control algorithm, and realize the decision-making and interference control method of the external control mode;

[0018] Establish a friendly control interface and communication method to achieve multi-cooperative cluster control.

[0019] Preferably, the method for labeling the controller includes:

[0020] Write a fixed ID address to lock the data, adapt to the authentication of identity ID, establish a control coordination mode between the modules in the multi-controller collaborative control system, establish the standard access minimum cell of the cell acquisition unit, establish each node, control ID as the minimum cell control unit, and form an internal network segment, ID, physical address, and communication protocol between units to achieve mutual authentication, and realize the network intercommunication structure; automatically divide the network and address through cell fission;

[0021] Compatible with another control structure and method or write a fixed IP address for data locking, adapt to net network, wifi network, mesh network, lora network, narrowband network, and establish a standard access minimum cell for cell collection units by establishing a control collaboration mode between units;

[0022] Or write a fixed custom UDP address to lock the data, realize the self-sufficient design and combination of the intranet, and the superposition design of UDP adaptation on the basis of calibration. By establishing a control coordination mode between units, the standard access minimum cell of the cell collection unit is established;

[0023] Or write a fixed custom Zigbee address to lock the data. The locking design realizes intelligent identification of cross-network ID distinction in a self-organizing network manner. The data enters the decision-making center. The units establish a control collaboration mode and establish the standard access minimum cell of the cell collection unit.

[0024] Or write a fixed custom Modbus address to lock the data, establish a Modbus data access platform, a standard protocol for industrial data collaboration, and data platform management and platform access standards. By establishing a control collaboration mode between units, the standard access minimum cell for the cell acquisition unit is established;

[0025] Or write a fixed custom 485 address to lock the data, and establish a control coordination mode between units to establish the standard access minimum cell of the cell acquisition unit.

[0026] Preferably, establishing the priority sequential control mode includes:

[0027] Based on the sequential control unit, a VIP design structure is adopted to establish echelon learning modes test1, test2, test3...testN to achieve level management and control, and establish the priority sequential control mode.

[0028] Preferably, the basic access control method of the data determination center includes:

[0029] Use table1 to manage data after data access and establish a data decision-making and control feedback center;

[0030] Use data access and classification management table2 to establish a video decision and control feedback center;

[0031] Use data access and classification management table3 to establish an audio decision-making and control feedback center;

[0032] Use data access and classification management table4 to establish a control decision and control feedback center;

[0033] Use data access and classification management table5 to establish an identity recognition decision-making and control feedback center;

[0034] After data access, table6, table7, table8...tableN are classified and managed to customize the decision-making and control feedback center;

[0035] Adopt classification management after data access to simulate big data center, establish AI intelligent control mode, deep control mode, fuzzy control mode, neural network control mode, realize big data management and control center, establish core data system, realize application architecture center of table1, table2, table3...tableN, and extract data of custom industry classification;

[0036] The application architecture center adopts classification management of table1, table2, table3...tableN after data access, and the control method supports vector machines to realize the introduction of SVM;

[0037] The application architecture center adopts classification management of table1, table2, table3...tableN after data access, and the control method is established starting from logistic regression, leading to the SVM model design and establishing the main priority;

[0038] The data is classified and managed after data access, and then sent to the big data center through the middleware to establish a data analysis model and an interface control method for the mathematical control model;

[0039] Use custom classes, models, interfaces, echelons, tables, tests, or custom control methods.

[0040] Preferably, an open-loop control method or a closed-loop control method is adopted to establish the control decision center of the human brain.

[0041] Preferably, the decision-making and interference control methods of the external control mode include:

[0042] Adopt C / S architecture design, or B / S architecture design, or web architecture design, or small program architecture design, or App architecture design, or middleware architecture design, move in parallel to other data model centers, or adopt middleware architecture design to establish a small MySQL data center, or adopt middleware architecture design to establish a small SQLserver data center.

[0043] Preferably, the communication method includes:

[0044] Communication method between embedded cortex A series and cortex M series;

[0045] Embedded cortex A series and cortex A series communication method;

[0046] Communication method between embedded cortex R series and cortex M series;

[0047] Embedded cortex M series and cortex M series communication method;

[0048] Communication methods between embedded cortex A, cortex R, cortex M series and domestic MCU series;

[0049] Communication methods between embedded cortex A, cortex R, cortex M series and DSP series;

[0050] Communication methods between embedded cortex A, cortex R, cortex M series and PLC series;

[0051] Communication methods between embedded cortex A, cortex R, cortex M series and FPGA series;

[0052] Communication methods between embedded cortex A, cortex R, cortex M series and CPLD series;

[0053] Communication methods between embedded cortex A, cortex R, cortex M series and SOPC series;

[0054] Communication methods between embedded cortex A, cortex R, cortex M series and ASIC series;

[0055] Communication methods between embedded cortex A, cortex R, cortex M series and Zigbee series;

[0056] Communication methods between embedded cortex A, cortex R, cortex M series and Wifi series;

[0057] Communication methods between embedded cortex A, cortex R, cortex M series and RF series.

[0058] Preferably, the method for implementing the multi-cooperative cluster control includes:

[0059] Establish client master-client slave mode, adopt local C / S, B / S and client master-client slave, client master-client slave 1, 2, 3, ..., establish multi-cooperative cluster control method;

[0060] Establish client master-client slave mode, adopt local C / S, B / S and client master-client slave, client master-client slave 1, 2, 3, ..., establish distributed computing mode control method;

[0061] Establish client master-client slave mode, adopt local C / S, B / S and client master-client slave, client master-client slave 1, 2, 3, ..., establish and implement hardware coordination, software coordination, device and structure coordination; Among them, the core communication protocol adopts port communication, bus protocol, Modbus protocol, wireless communication, 4G, 5G, Lora communication carrier;

[0062] Establish client master-client slave mode to implement, use local C / S, B / S and client master-client slave, client master-client slave 1, 2, 3, ..., establish master-slave control structure, master-master control method, slave-slave collaborative transfer control method.

[0063] Compared with the prior art, the present invention has the following advantages and technical effects:

[0064] The present invention achieves adaptation to a variety of application scenarios and systems through adaptive address and identity authentication of existing equipment; adaptation can be achieved by modifying the ID and network segment to achieve a unified product unit, which can be adapted in different scenarios to complete applications in multiple industries; the use of the present invention will reduce development costs, inventory costs, and secondary development costs, and realize the gradual standardization of non-standard industry applications. BRIEF DESCRIPTION OF THE DRAWINGS

[0065] The drawings constituting a part of the present application are used to provide a further understanding of the present application. The illustrative embodiments and descriptions of the present application are used to explain the present application and do not constitute an improper limitation on the present application. In the drawings:

[0066] Figure 1 A schematic diagram of the structure of a multi-controller collaborative control system according to an embodiment of the present invention;

[0067] Figure 2 A schematic diagram of the design of multiple controllers for uninterrupted access from 0-N data and bus data collection and simulated cell division elements in an embodiment of the present invention;

[0068] Figure 3 Starting from the logistic regression of the embodiment of the present invention, a schematic diagram of the SVM model design system is introduced;

[0069] Figure 4 A schematic diagram of a control center according to an embodiment of the present invention;

[0070] Figure 5 Schematic diagram of an open-loop control system according to an embodiment of the present invention;

[0071] Figure 6 A schematic diagram of a closed-loop control system according to an embodiment of the present invention;

[0072] Figure 7 A schematic flow chart of a multi-controller collaborative control method according to an embodiment of the present invention;

[0073] Figure 8 A schematic diagram showing node topology of a control method according to an embodiment of the present invention;

[0074] Fig. 9It is another flow chart of a control method and a system control method for vertically changing from dark color to light color according to an embodiment of the present invention;

[0075] Fig.10 It is another flowchart of the network system control method according to an embodiment of the present invention;

[0076] Fig.11 A schematic diagram of a top-down system control method flow chart of an embodiment of the present invention;

[0077] Fig.12 This is a structural block diagram of a multi-controller 65535-node collaborative control system according to an embodiment of the present invention. DETAILED DESCRIPTION

[0078] It should be noted that, in the absence of conflict, the embodiments and features in the embodiments of the present application can be combined with each other. The present application will be described in detail below with reference to the accompanying drawings and in combination with the embodiments.

[0079] It should be noted that the steps shown in the flowcharts of the accompanying drawings can be executed in a computer system such as a set of computer executable instructions, and that, although a logical order is shown in the flowcharts, in some cases, the steps shown or described can be executed in an order different from that shown here.

[0080] The present invention proposes a multi-controller cooperative control system, comprising: a receiver, a genetic evolution module, a control decision module, a functional module, a controller, a receiver and a sequential control unit;

[0081] Receiver: used to receive data;

[0082] Genetic evolution module: used for implantation control of data depth algorithms and artificial intelligence algorithms, and for learning and training of AI models;

[0083] Control decision module: used to make intelligent decisions on execution components;

[0084] Functional module: used to complete the actuator of the target detection device and optimize the control structure;

[0085] Controller: used to implement and apply real-time operating systems;

[0086] Transmitter: used to send data;

[0087] Sequential control unit: used to control the implementation of priority through preset programs.

[0088] The system autonomously builds a software bus mode, and all data will be input into the bus and adapted to its own position. For example, the receiver receives the data, enters the genetic evolution module AI judgment, and then inputs it into the control decision module. After the judgment, it is given to the controller, and after the judgment, it is given to the functional module (execution status and execution process data feedback), and after the judgment, it is given to the transmitter and enters the external feedback execution state.

[0089] This embodiment also proposes a multi-controller collaborative control method, such as Figure 1-Figure 2 , based on different multi-controller cooperative control methods applied to the actual transformation structure, including:

[0090] Label the controllers and establish a priority sequential control mode;

[0091] Based on the priority sequential control mode, the basic access control method of the data judgment center is confirmed; the data judgment center is the data foundation of the AI ​​data big model, which aggregates a large amount of data, trains the genetic evolution module, and fully optimizes the implementation rate and control method of the control decision module.

[0092] Based on the main control center, establish the control decision center and data management center of the human brain, establish the optimal control algorithm, and realize the decision-making and interference control method of the external control mode;

[0093] Establish a friendly control interface and communication method to achieve multi-cooperative cluster control.

[0094] Specifically, the method for labeling the controller includes:

[0095] Write a fixed ID address to lock the data, adapt to the identity ID authentication, establish a control coordination mode between units, and establish the standard access minimum cell of the cell collection unit;

[0096] Or write a fixed IP address to lock the data, adapt to net network, wifi network, mesh network, lora network, narrowband network, and establish a control collaboration mode between units to establish the standard access minimum cell of the cell collection unit;

[0097] Or write a fixed custom UDP address to lock the data, realize the self-sufficient design and combination of the intranet, and the superposition design of UDP adaptation on the basis of calibration. By establishing a control coordination mode between units, the standard access minimum cell of the cell collection unit is established;

[0098] Or write a fixed custom Zigbee address to lock the data. The locking design realizes intelligent identification of cross-network ID distinction in a self-organizing network manner. The data enters the decision-making center. The units establish a control collaboration mode and establish the standard access minimum cell of the cell collection unit.

[0099] Or write a fixed custom Modbus address to lock the data, establish a Modbus data access platform, a standard protocol for industrial data collaboration, and data platform management and platform access standards. By establishing a control collaboration mode between units, the standard access minimum cell for the cell acquisition unit is established;

[0100] Or write a fixed custom 485 address to lock the data, and establish a control coordination mode between units to establish the standard access minimum cell of the cell acquisition unit.

[0101] Specifically, a priority sequential control mode is established, including:

[0102] Based on the sequential control unit, a VIP design structure is adopted to establish echelon learning modes test1, test2, test3...testN to achieve level management and control, and establish the priority sequential control mode.

[0103] The basic access control methods of the data judgment center include:

[0104] Use table1 to manage data after data access and establish a data decision-making and control feedback center;

[0105] Use data access and classification management table2 to establish a video decision and control feedback center;

[0106] Use data access and classification management table3 to establish an audio decision-making and control feedback center;

[0107] Use data access and classification management table4 to establish a control decision and control feedback center;

[0108] Use data access and classification management table5 to establish an identity recognition decision-making and control feedback center;

[0109] After data access, table6, table7, table8...tableN are classified and managed to customize the decision-making and control feedback center;

[0110] Adopt classification management after data access to simulate big data center, establish AI intelligent control mode, deep control mode, fuzzy control mode, neural network control mode, realize big data management and control center, establish core data system, realize application architecture center of table1, table2, table3...tableN, and extract data of custom industry classification;

[0111] The application architecture center adopts classification management of table1, table2, table3...tableN after data access, and the control method supports vector machines to realize the introduction of SVM;

[0112] The application architecture center adopts classification management of table1, table2, table3...tableN after data access, and the control method is established starting from logistic regression, leading to the SVM model design, and establishing the main priority, such as Figure 3 ;

[0113] Among them, the formal expression is a hypothesis function: z is an n-dimensional feature vector, and the function g is the logistic function:

[0114] The data is classified and managed after data access, and then sent to the big data center through the middleware to establish a data analysis model and an interface control method for the mathematical control model;

[0115] Use custom classes, models, interfaces, echelons, tables, tests, or custom control methods.

[0116] The control decision center of the human brain is established by adopting an open-loop control method or a closed-loop control method, such as Figure 5-Figure 6 .

[0117] Furthermore, the implementation method of the decision-making and interference control mode of the external control mode includes, for example, Figure 7-Figure 12 :

[0118] Adopt C / S architecture design, or B / S architecture design, or web architecture design, or small program architecture design, or App architecture design, or middleware architecture design, move in parallel to other data model centers, or adopt middleware architecture design to establish a small MySQL data center, or adopt middleware architecture design to establish a small SQLserver data center.

[0119] By establishing a friendly control interface, the embedded GUI node display mode and the embedded QT node display mode are realized.

[0120] Furthermore, a communication method between the embedded cortex A series and the cortex M series is established, and a multi-controller collaborative control method, structure, device and control system are built to realize the design unit of the overall architecture and some units, cover methods, cover structures, cover logical combination design units, and cover project implementation units.

[0121] Establish the communication method between the embedded cortex A series and the cortex A series, build a multi-controller collaborative control method, structure, device and control system, realize the design unit of the overall architecture and some units, cover methods, cover structures, cover logical combination design units, and cover project implementation units.

[0122] Establish the communication mode between the embedded cortex R series and the cortex M series, build a multi-controller collaborative control method, structure, device and control system, realize the design unit of the overall architecture and some units, cover methods, cover structures, cover logical combination design units, and cover project implementation units.

[0123] Establish the communication method between the embedded cortex M series and the cortex M series, build a multi-controller collaborative control method, structure, device and control system, realize the design unit of the overall architecture and some units, cover methods, cover structures, cover logical combination design units, and cover project implementation units.

[0124] Build a multi-controller collaborative control method, structure, device and control system to realize the implementation of the design units of the overall architecture and some units, covering methods, covering structures, covering logical combination design units, and covering project implementation units.

[0125] Establish the communication method between the embedded cortex A, cortex R, cortex M series and the domestic MCU series, build a multi-controller collaborative control method, structure, device and control system, realize the design unit of the overall architecture and some units, cover methods, cover structures, cover logical combination design units, and cover project implementation units.

[0126] Establish the communication method between the embedded cortex A, cortex R, cortex M series and the DSP series, build a multi-controller collaborative control method, structure, device and control system, realize the design unit of the overall architecture and some units, cover methods, cover structures, cover logic combination design units, and cover project implementation units.

[0127] Establish the communication method between embedded cortex A, cortex R, cortex M series and PLC series, build a multi-controller collaborative control method, structure, device and control system, realize the design unit of the overall architecture and some units, cover methods, cover structures, cover logical combination design units, and cover project implementation units.

[0128] Establish the communication method between embedded cortex A, cortex R, cortex M series and FPGA series, build a multi-controller collaborative control method, structure, device and control system, realize the design unit of the overall architecture and some units, cover methods, cover structures, cover logic combination design units, and cover project implementation units.

[0129] Establish the communication method between the embedded cortex A, cortex R, cortex M series and the CPLD series, build a multi-controller collaborative control method, structure, device and control system, realize the design unit of the overall architecture and some units, cover methods, cover structures, cover logical combination design units, and cover project implementation units.

[0130] Establish the communication method between embedded cortex A, cortex R, cortex M series and SOPC series, build a multi-controller collaborative control method, structure, device and control system, realize the design unit of the overall architecture and some units, cover methods, cover structures, cover logic combination design units, and cover project implementation units.

[0131] Establish the communication method between the embedded cortex A, cortex R, cortex M series and the ASIC series, build a multi-controller collaborative control method, structure, device and control system, realize the design unit of the overall architecture and some units, cover methods, cover structures, cover logical combination design units, and cover project implementation units.

[0132] Establish the communication method between embedded cortex A, cortex R, cortex M series and Zigbee series, build a multi-controller collaborative control method, structure, device and control system, realize the design unit of the overall architecture and some units, cover methods, cover structures, cover logical combination design units, and cover project implementation units.

[0133] Establish the communication method between embedded cortex A, cortex R, cortex M series and Wifi series, build a multi-controller collaborative control method, structure, device and control system, realize the design unit of the overall architecture and some units, cover methods, cover structures, cover logical combination design units, and cover project implementation units.

[0134] Establish the communication method between the embedded cortex A, cortex R, cortex M series and the radio frequency series, build a multi-controller collaborative control method, structure, device and control system, realize the design unit of the overall architecture and some units, cover methods, cover structures, cover logical combination design units, and cover project implementation units.

[0135] Furthermore, the method for implementing the multi-cooperative cluster control includes:

[0136] Establish client (master) -client (slave) mode to realize, can adopt local C / S, B / S and client (master) -client (slave), client (master) -client (slave 1,2,3,...), establish multi-cooperative cluster control method.

[0137] Establish client (master) -client (slave) mode to implement, can adopt local C / S, B / S and client (master) -client (slave), client (master) -client (slave 1,2,3,...), establish distributed computing mode control method.

[0138] Establish a client (master) -client (slave) mode to implement, you can use local C / S, B / S and client (master) -client (slave), client (master) -client (slave 1, 2, 3, ...), establish and implement hardware collaboration, software collaboration, device and structure collaboration, the core communication protocol can use port communication, bus protocol, Modbus protocol (485, 422, UDP, TCP, Wifi, ZigBee, Bluetooth and other multiple protocols under Modbus communication), wireless communication, 4G, 5G, Lora and other communication carriers.

[0139] Establish client (master) - client (slave) mode to achieve, you can use local C / S, B / S and client (master) - client (slave), client (master) - client (slave 1,2,3,...), establish master-slave control structure, master-master control method, slave-slave collaborative transfer control method. Its core structure adopts the control structure characteristics of the main command sending end. Different project applications can use different multi-controller collaborative control methods to apply to the actual transformation structure design.

[0140] Establish client (master) - client (slave) mode to achieve, you can use local C / S, B / S and client (master) - client (slave), client (master) - client (slave 1,2,3,...), establish and achieve the Internet of Things and new agriculture, electronic medical, industrial interconnection, food engineering and Chinese medicine interdisciplinary research, agricultural experimental research, new energy environmental protection and energy conservation research, artificial intelligence, electronic bionics and other fields of innovative breakthrough applications, will provide the necessary technical foundation for unified management of the industry, such as Figure 4 .

[0141] The above are only preferred specific implementations of the present application, but the protection scope of the present application is not limited thereto. Any changes or substitutions that can be easily thought of by a person skilled in the art within the technical scope disclosed in the present application should be included in the protection scope of the present application. Therefore, the protection scope of the present application should be based on the protection scope of the claims.

Claims

1. A multi-controller collaborative control system, characterized in that: include: Receiver, genetic evolution module, control decision module, functional module, controller, receiver and sequential control unit, in, Receiver: used to receive data; Genetic evolution module: used for implantation control of data depth algorithms and artificial intelligence algorithms, and for learning and training of AI models; Control decision module: used to make intelligent decisions on execution components; Functional module: used to complete the actuator of the target detection device and optimize the control structure; Controller: used to implement and apply real-time operating systems; Transmitter: used to send data; Sequential control unit: used to control the implementation of priority through preset programs.

2. A multi-controller collaborative control method, applied to the multi-controller collaborative control system according to claim 1, characterized in that: include: Based on different multi-controller cooperative control methods applied to the actual transformation structure, specifically: Label the controllers and establish a priority sequential control mode; Based on the priority sequential control mode, confirm the basic access control method of the multi-controller collaborative control system; Based on the main control center, establish the control decision center and data management center of the human brain, establish the optimal control algorithm, and realize the decision-making and interference control method of the external control mode; Establish a friendly control interface and communication method to achieve multi-cooperative cluster control.

3. The multi-controller collaborative control method according to claim 2, characterized in that: The method for labeling the controller includes: Write a fixed ID address to lock the data, adapt to the authentication of identity ID, establish a control coordination mode between the modules in the multi-controller collaborative control system, establish the standard access minimum cell of the cell acquisition unit, establish each node, control ID as the minimum cell control unit, and form an internal network segment, ID, physical address, and communication protocol between units to achieve mutual authentication, and realize the network intercommunication structure; automatically divide the network and address through cell fission; Compatible with another control structure and method or write a fixed IP address for data locking, adapt to net network, wifi network, mesh network, lora network, narrowband network, and establish a standard access minimum cell for cell collection units by establishing a control coordination method between units; Or write a fixed custom UDP address to lock the data, realize the self-sufficient design and combination of the intranet, and UDP adaptation to realize the superposition design on the basis of calibration. By establishing a control coordination mode between units, the standard access minimum cell of the cell collection unit is established; Or write a fixed custom Zigbee address to lock the data. The locking design realizes intelligent identification of cross-network ID distinction in a self-organizing network manner. The data enters the decision-making center. The units establish a control collaboration mode and establish the standard access minimum cell of the cell collection unit. Or write a fixed custom Modbus address to lock the data, establish a Modbus data access platform, a standard protocol for industrial data collaboration, and data platform management and platform access standards. By establishing a control collaboration mode between units, the standard access minimum cell for the cell acquisition unit is established; Or write a fixed custom 485 address to lock the data, and establish a control coordination mode between units to establish the standard access minimum cell of the cell acquisition unit.

4. The multi-controller collaborative control method according to claim 2, characterized in that: Establishing the priority sequential control mode includes: Based on the sequential control unit, a VIP design structure is adopted to establish echelon learning modes test1, test2, test3...testN to achieve level management and control, and establish the priority sequential control mode.

5. The multi-controller collaborative control method according to claim 4, characterized in that: The basic access control method of the data determination center includes: Use table1 to manage data after data access and establish a data decision-making and control feedback center; Use data access and classification management table2 to establish a video decision and control feedback center; Use data access and classification management table3 to establish an audio decision-making and control feedback center; Use data access and classification management table4 to establish a control decision and control feedback center; Use data access and classification management table5 to establish an identity recognition decision-making and control feedback center; After data access, table6, table7, table8...tableN are classified and managed to customize the decision-making and control feedback center; Adopt classification management after data access to simulate big data center, establish AI intelligent control mode, deep control mode, fuzzy control mode, neural network control mode, realize big data management and control center, establish core data system, realize application architecture center of table1, table2, table3...tableN, and extract data of custom industry classification; The application architecture center adopts classification management of table1, table2, table3...tableN after data access, and the control method supports vector machines to realize the introduction of SVM; The application architecture center adopts classification management of table1, table2, table3...tableN after data access, and the control method is established starting from logistic regression, leading to the SVM model design and establishing the main priority; The data is classified and managed after data access, and then sent to the big data center through the middleware to establish a data analysis model and an interface control method for the mathematical control model; Use custom classes, models, interfaces, echelons, tables, tests, or custom control methods.

6. The multi-controller collaborative control method according to claim 2, characterized in that: An open-loop control method or a closed-loop control method is adopted to establish the control decision center of the human brain.

7. The multi-controller collaborative control method according to claim 2, characterized in that: The implementation method of the decision-making and interference control mode of the external control mode includes: Adopt C / S architecture design, or B / S architecture design, or web architecture design, or small program architecture design, or App architecture design, or middleware architecture design, move in parallel to other data model centers, or adopt middleware architecture design to establish a small MySQL data center, or adopt middleware architecture design to establish a small SQLserver data center.

8. The multi-controller collaborative control method according to claim 2, characterized in that: The communication methods include: Communication method between embedded cortex A series and cortex M series; Embedded cortex A series and cortex A series communication method; Communication method between embedded cortex R series and cortex M series; Embedded cortex M series and cortex M series communication method; Communication methods between embedded cortex A, cortex R, cortex M series and domestic MCU series; Communication methods between embedded cortex A, cortex R, cortex M series and DSP series; Communication methods between embedded cortex A, cortex R, cortex M series and PLC series; Communication methods between embedded cortex A, cortex R, cortex M series and FPGA series; Communication methods between embedded cortex A, cortex R, cortex M series and CPLD series; Communication methods between embedded cortex A, cortex R, cortex M series and SOPC series; Communication methods between embedded cortex A, cortex R, cortex M series and ASIC series; Communication methods between embedded cortex A, cortex R, cortex M series and Zigbee series; Communication methods between embedded cortex A, cortex R, cortex M series and Wifi series; Communication methods between embedded cortex A, cortex R, cortex M series and RF series.

9. The multi-controller collaborative control method according to claim 2, characterized in that: The method for implementing the multi-cooperative cluster control includes: Establish client master-client slave mode, adopt local C / S, B / S and client master-client slave, client master-client slave 1, 2, 3, ..., establish multi-cooperative cluster control method; Establish client master-client slave mode, adopt local C / S, B / S and client master-client slave, client master-client slave 1, 2, 3, ..., establish distributed computing mode control method; Establish client master-client slave mode, adopt local C / S, B / S and client master-client slave, client master-client slave 1, 2, 3, ..., establish and implement hardware coordination, software coordination, device and structure coordination; Among them, the core communication protocol adopts port communication, bus protocol, Modbus protocol, wireless communication, 4G, 5G, Lora communication carrier; Establish client master-client slave mode to implement, use local C / S, B / S and client master-client slave, client master-client slave 1, 2, 3, ..., establish master-slave control structure, master-master control method, slave-slave collaborative transfer control method.

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