Back split platform type sensing network platform industrial internet of things and control method

Abstract

This invention discloses a post-platform-based sensor network platform industrial IoT and its control method. It adopts a five-platform structure for building an intelligent manufacturing industrial IoT, where each platform has corresponding hardware devices. Because the service platform and management platform are centrally arranged, while the sensor network platform adopts a post-platform-based arrangement, the sensor network platform can receive a large number of instructions issued by the management platform, while taking into account the coordination of various instructions. This makes the invention very suitable for large-scale production lines with high requirements for overall coordination, and has strong applicability.

Description

Technical Field

[0001] This invention relates to intelligent manufacturing technology, specifically to a post-platform sensor network platform for industrial IoT and control methods. Background Technology

[0002] With the development of science and technology, the Industrial Internet of Things (IIoT) applied to intelligent manufacturing technology has begun to develop on a large scale. At present, the research on IIoT for intelligent manufacturing technology mainly focuses on how to implement the underlying technology. It is necessary to develop for different IIoT, and the lack of unified and standardized research has led to serious duplication of development. Summary of the Invention

[0003] The technical problem to be solved by this invention is that the existing technology requires development for different industrial IoT applications, and lacks unified and standardized research, resulting in serious duplication of development. The purpose is to provide a post-platform sensor network platform for industrial IoT and control methods to solve the above problems.

[0004] This invention is achieved through the following technical solution:

[0005] In one respect:

[0006] The post-platform-based industrial IoT sensor network platform includes: a user platform, a service platform, a management platform, a sensor network platform, and an object platform that interact sequentially; among which:

[0007] The user platform is configured as a terminal device and interacts with the user;

[0008] The service platform is configured as the first server, receiving instructions from the user platform and sending them to the management platform, and extracting information from the management platform that is needed to process the user platform and sending it to the user platform.

[0009] The management platform is configured as a second server, controls the operation of the object platform, and receives feedback data from the object platform.

[0010] The sensor network platform is configured as a communication network and gateway for interaction between the object platform and the management platform.

[0011] The object platform is configured to perform manufacturing of production line equipment and production line sensors;

[0012] The service platform and the management platform are centrally deployed; the centralized deployment means that any platform can uniformly receive, process, and send data. The sensor network platform is deployed in a distributed platform manner; the distributed platform manner means that the sensor network platform has a main platform and multiple sub-platforms. The multiple sub-platforms store and process data of different types or different recipients sent by the management platform. The main platform summarizes, stores, and processes the data from the multiple sub-platforms and transmits the data to the recipient platform.

[0013] When the second server sends control commands to the object platform through the sensor network platform, the control commands are classified according to the communication protocol of the object receiving the control commands;

[0014] The second server sends the classified control commands to the corresponding sub-platforms in the sensor network platform and stores them in the database of the sub-platforms.

[0015] The sub-platform compiles the received data according to the compilation rules configured on the sub-platform and then sends it to the main platform;

[0016] The overall platform processes the compiled data and sends it to the production line equipment and production line sensors on the corresponding object platform.

[0017] Furthermore, the main platform is configured with a process flow table corresponding to the process flow of the target platform; the process flow table shows the correspondence between each step of the process flow and the production line equipment in the target platform.

[0018] After the main platform receives the compiled data sent by each sub-platform, it sorts the compiled data according to the process flow table to generate a compilation instruction sequence; each piece of compiled data in the compilation instruction sequence corresponds to a time when it is sent to the corresponding production line equipment;

[0019] The main platform sends the corresponding compiled data to the corresponding production line equipment according to the time specified in the compilation instruction sequence.

[0020] Furthermore, the process flow table includes the time difference between the arrival of the same product at different production line equipment;

[0021] The overall platform uses the production line equipment through which the product initially passed as the reference equipment, and the time when the product passed through the reference equipment as the reference time.

[0022] The overall platform generates the time corresponding to each compiled data and the time difference to send it to each production line device, which is then used as the sending time for each production line device.

[0023] The main platform distributes the compiled data to the corresponding production line equipment according to the distribution time.

[0024] Furthermore, when the object platform transmits the production line data detected by the production line sensors in the object platform to the second server through the sensor network platform, the main platform in the sensor network platform receives the production line data;

[0025] The main platform establishes a correspondence between the production line equipment and the production line data based on the process flow table, and sends the production line data to the corresponding sub-platforms based on the correspondence.

[0026] The sub-platform decodes the received production line data and sends it to the second server.

[0027] Furthermore, when the second server receives the decoded production line data, it sends the decoded production line data to the first server;

[0028] The first server integrates and processes the decoded production line data to form a production dataset, and then sends the production dataset to the terminal device.

[0029] In one respect:

[0030] A post-platform-based industrial IoT control method for sensor network platforms is applied to a user platform, service platform, management platform, sensor network platform, and object platform that interact sequentially; wherein:

[0031] The user platform is configured as a terminal device and interacts with the user;

[0032] The service platform is configured as the first server, receiving instructions from the user platform and sending them to the management platform, and extracting information from the management platform that is needed to process the user platform and sending it to the user platform.

[0033] The management platform is configured as a second server, controls the operation of the object platform, and receives feedback data from the object platform.

[0034] The sensor network platform is configured as a communication network and gateway for interaction between the object platform and the management platform.

[0035] The object platform is configured to perform manufacturing of production line equipment and production line sensors;

[0036] The service platform and the management platform are centrally deployed; the centralized deployment means that any platform can uniformly receive, process, and send data. The sensor network platform is deployed in a distributed platform manner; the distributed platform manner means that the sensor network platform has a main platform and multiple sub-platforms. The multiple sub-platforms store and process data of different types or different recipients sent by the management platform. The main platform summarizes, stores, and processes the data from the multiple sub-platforms and transmits the data to the recipient platform.

[0037] The method includes:

[0038] When the second server sends control commands to the object platform through the sensor network platform, the control commands are classified according to the communication protocol of the object receiving the control commands;

[0039] The second server sends the classified control commands to the corresponding sub-platforms in the sensor network platform and stores them in the database of the sub-platforms.

[0040] The sub-platform compiles the received data according to the compilation rules configured on the sub-platform and then sends it to the main platform;

[0041] The overall platform processes the compiled data and sends it to the production line equipment and production line sensors on the corresponding object platform.

[0042] Furthermore, the main platform is configured with a process flow table corresponding to the process flow of the target platform; the process flow table shows the correspondence between each step of the process flow and the production line equipment in the target platform.

[0043] After the main platform receives the compiled data sent by each sub-platform, it sorts the compiled data according to the process flow table to generate a compilation instruction sequence; each piece of compiled data in the compilation instruction sequence corresponds to a time when it is sent to the corresponding production line equipment;

[0044] The main platform sends the corresponding compiled data to the corresponding production line equipment according to the time specified in the compilation instruction sequence.

[0045] Furthermore, the process flow table includes the time difference between the arrival of the same product at different production line equipment;

[0046] The overall platform uses the production line equipment through which the product initially passed as the reference equipment, and the time when the product passed through the reference equipment as the reference time.

[0047] The overall platform generates the time corresponding to each compiled data and the time difference to send it to each production line device, which is then used as the sending time for each production line device.

[0048] The main platform distributes the compiled data to the corresponding production line equipment according to the distribution time.

[0049] Furthermore, when the object platform transmits the production line data detected by the production line sensors in the object platform to the second server through the sensor network platform, the main platform in the sensor network platform receives the production line data;

[0050] The main platform establishes a correspondence between the production line equipment and the production line data based on the process flow table, and sends the production line data to the corresponding sub-platforms based on the correspondence.

[0051] The sub-platform decodes the received production line data and sends it to the second server.

[0052] Furthermore, when the second server receives the decoded production line data, it sends the decoded production line data to the first server;

[0053] The first server integrates and processes the decoded production line data to form a production dataset, and then sends the production dataset to the terminal device.

[0054] Compared with the prior art, the present invention has the following advantages and beneficial effects:

[0055] This invention relates to a post-platform-based sensor network platform industrial IoT and control method. It adopts the five-platform structure previously proposed by the inventors for building an intelligent manufacturing industrial IoT. Each platform has corresponding hardware devices. Because the service platform and management platform are centrally arranged, while the sensor network platform is arranged in a post-platform-based manner, the sensor network platform can receive a large number of instructions issued by the management platform, while taking into account the coordination of various instructions. This makes the invention very suitable for large-scale production lines with high requirements for overall coordination, and has strong applicability. Attached Figure Description

[0056] The accompanying drawings, which are included to provide a further understanding of embodiments of the invention and form part of this application, do not constitute a limitation thereof. In the drawings:

[0057] Figure 1 This is a schematic diagram of the architecture of an embodiment of the present invention;

[0058] Figure 2 This is a schematic diagram of the method steps in an embodiment of the present invention. Detailed Implementation

[0059] To make the objectives, technical solutions, and advantages of the present invention clearer, the present invention will be further described in detail below with reference to the embodiments and accompanying drawings. The illustrative embodiments and descriptions of the present invention are only used to explain the present invention and are not intended to limit the present invention.

[0060] Example

[0061] For a clearer explanation of the aforementioned intelligent manufacturing industrial IoT system, please refer to the following references. Figure 1 This invention provides a schematic diagram of the communication architecture of a post-platform sensor network platform for industrial IoT, as disclosed in an embodiment of the present invention. The post-platform sensor network platform for industrial IoT may include a user platform, a service platform, a management platform, a sensor network platform, and an object platform that interact sequentially, and these platforms are communicatively connected.

[0062] The user platform is configured as a terminal device and interacts with the user;

[0063] The service platform is configured as the first server, receiving instructions from the user platform and sending them to the management platform, and extracting information from the management platform that is needed to process the user platform and sending it to the user platform.

[0064] The management platform is configured as a second server, controls the operation of the object platform, and receives feedback data from the object platform.

[0065] The sensor network platform is configured as a communication network and gateway for interaction between the object platform and the management platform.

[0066] The object platform is configured to perform manufacturing of production line equipment and production line sensors;

[0067] The service platform and the management platform are centrally deployed; the centralized deployment means that any platform can uniformly receive, process, and send data. The sensor network platform is deployed in a distributed platform manner; the distributed platform manner means that the sensor network platform has a main platform and multiple sub-platforms. The multiple sub-platforms store and process data of different types or different recipients sent by the management platform. The main platform summarizes, stores, and processes the data from the multiple sub-platforms and transmits the data to the recipient platform.

[0068] When the second server sends control commands to the object platform through the sensor network platform, the control commands are classified according to the communication protocol of the object receiving the control commands;

[0069] The second server sends the classified control commands to the corresponding sub-platforms in the sensor network platform and stores them in the database of the sub-platforms.

[0070] The sub-platform compiles the received data according to the compilation rules configured on the sub-platform and then sends it to the main platform;

[0071] The overall platform processes the compiled data and sends it to the production line equipment and production line sensors on the corresponding object platform.

[0072] In specific implementations, the user platform can be a desktop computer, tablet computer, laptop computer, mobile phone, or other electronic device capable of data processing and data communication, without further limitations.

[0073] In specific implementations, the first server and the second server can be a single server or a server cluster; no further limitations are imposed here. It should be understood that the data processing described in the embodiments of this application can be performed by the server's processor, and the data stored on the server can be stored on the server's storage devices, such as hard disks or other storage devices.

[0074] In specific implementations, the sensor network platform may employ multiple gateway servers or multiple smart routers, without further limitation. It should be understood that the data processing described in this embodiment can be performed by the gateway server's processor, and the data stored on the gateway server can be stored on its storage devices, such as hard drives and SSDs.

[0075] In existing technologies, for the construction of some large-scale production lines, the equipment on the production line (i.e., the object platform) is very complex, and different devices often have vastly different communication protocols or decoding methods. Current solutions mainly use dedicated equipment to uniformly convert these communication protocols or encoding processes. If there are many production line devices that need to be converted, it is very easy to overload these dedicated devices and affect the operation of the production line. At the same time, the more devices that need to be converted, the more complex the thread allocation and token allocation work of these dedicated devices becomes, and the complexity will also affect the stability of the entire intelligent manufacturing industrial Internet of Things operation.

[0076] In this embodiment, the sensor network platform adopts a post-segmentation platform design, that is, multiple sub-platforms receive different types of instructions or data from the second server. The classification process is performed by the second server. In this embodiment, the different types refer to different communication protocols or decoding methods. It should be understood that those skilled in the art can select a suitable classification method based on the content of this embodiment.

[0077] In this embodiment, both the sub-platforms and the main platform employ gateway servers or gateway server clusters, without further limitation. The categorized instructions or data are sent to their respective sub-platforms. The main function of each sub-platform is to perform specific processing on different types of instructions or data. This specific processing mainly includes transcoding and protocol conversion. Since each sub-platform processes only one type, it can achieve a high degree of integration, and the computation process is relatively fast, effectively improving encoding and conversion efficiency.

[0078] The main platform is responsible for aggregating the encoded data transmitted from the sub-platforms. Since some production lines have high requirements for the timing of different instruction issuances or the coordination between instructions, the main platform can aggregate and process all data that needs to be sent to the target platform, effectively improving the production stability of the production line.

[0079] The industrial IoT of the present invention, which is a post-platform sensor network platform, adopts the five-platform structure previously proposed by the inventors for building an intelligent manufacturing industrial IoT. Each platform has corresponding hardware devices. Since the service platform and management platform are centrally arranged, while the sensor network platform is arranged in a post-platform manner, the sensor network platform can receive a large number of instructions issued by the management platform, while taking into account the coordination of various instructions. This makes this embodiment very suitable for large-scale production lines with high requirements for overall coordination, and has strong applicability.

[0080] In one embodiment, the main platform is configured with a process flow table corresponding to the process flow of the target platform; the process flow table shows the correspondence between each step of the process flow and the production line equipment in the target platform.

[0081] After the main platform receives the compiled data sent by each sub-platform, it sorts the compiled data according to the process flow table to generate a compilation instruction sequence; each piece of compiled data in the compilation instruction sequence corresponds to a time when it is sent to the corresponding production line equipment;

[0082] The main platform sends the corresponding compiled data to the corresponding production line equipment according to the time specified in the compilation instruction sequence.

[0083] During the implementation of this embodiment, the inventors discovered that for some production lines, the process is quite complex, and there are many devices on the same production line. At the same time, the devices on different production lines need to be coordinated. For example, for a gas meter production line, the outer shell needs to be formed by stamping. After stamping, the outer shell needs to be fitted with corresponding accessories in various stages of the downstream production line. In other words, when the stamping parameters change, the shape and size of the outer shell may change. This requires adjustments to each stage of the downstream production line to adapt.

[0084] In this embodiment, when adjusting a production line parameter, the second server generates a complete parameter adjustment plan for the production line equipment and distributes it to each sub-platform. The main platform, after aggregating the compiled data from each sub-platform, sorts all the data using a pre-set process flow table. This sorting aims to determine the time of parameter modification for each device. For example, in a gas meter production line, processing parameters need to be modified during stamping. To avoid production line downtime, online parameter modification is used. At a certain moment, the stamping equipment completes the parameter modification, and the parameters of the produced casing change. Meanwhile, other production equipment continues processing the unchanged casing until the modified casing arrives at the original equipment, creating a time lag. To address this time lag in online production line parameter updates, this embodiment uses a process flow table to determine the timing of each instruction in the compiled instruction sequence, effectively improving the efficiency of production line parameter correction and avoiding production losses caused by downtime during parameter correction.

[0085] In one embodiment, the process flow table is configured with the time difference between the arrival of the same product at different production line equipment;

[0086] The overall platform uses the production line equipment through which the product initially passed as the reference equipment, and the time when the product passed through the reference equipment as the reference time.

[0087] The overall platform generates the time corresponding to each compiled data and the time difference to send it to each production line device, which is then used as the sending time for each production line device.

[0088] The main platform distributes the compiled data to the corresponding production line equipment according to the distribution time.

[0089] In this embodiment, as a more specific implementation, precise timing is adjusted by configuring time differences in the process flow table. These time differences can be automatically generated based on data collected by sensors on the production line within the platform, or they can be manually set. In this embodiment, the product should be one or more assembled components. For example, in a gas meter production line, the sheet metal before stamping, the stamped casing, and the casing with installed components should all be considered the same product. The initial production line equipment it passes through is generally the first piece of equipment on the assembly line, such as a suction cup robot that moves the sheet metal onto the assembly line. Using this equipment as a reference time facilitates the calculation of the corresponding delivery time for each subsequent piece of equipment. The main platform then distributes the corresponding data based on the calculated delivery time.

[0090] In one embodiment, when the object platform transmits the production line data detected by the production line sensors in the object platform to the second server through the sensor network platform, the main platform in the sensor network platform receives the production line data;

[0091] The main platform establishes a correspondence between the production line equipment and the production line data based on the process flow table, and sends the production line data to the corresponding sub-platforms based on the correspondence.

[0092] The sub-platform decodes the received production line data and sends it to the second server.

[0093] In this embodiment, a data uplink scheme for the object platform is also provided to provide a closed loop for the data flow in this embodiment. The uplink data of the object platform is mainly the data detected by the production line sensors. This data is summarized in the main platform, grouped by the process flow table, and then decoded and forwarded by the corresponding sub-platform.

[0094] In one embodiment, when the second server receives the decoded production line data, it sends the decoded production line data to the first server;

[0095] The first server integrates and processes the decoded production line data to form a production dataset, and then sends the production dataset to the terminal device.

[0096] Based on the above, please refer to the following: Figure 2 This is a flowchart illustrating the industrial IoT control method for a post-platform sensor network platform provided in an embodiment of the present invention. The post-platform sensor network platform industrial IoT control method can be applied to… Figure 1The post-platform sensor network platform industrial IoT, further, the post-platform sensor network platform industrial IoT control method may specifically include the content described in steps S1-S4.

[0097] S1: When the second server sends a control command to the object platform through the sensor network platform, the control command is classified according to the communication protocol of the object receiving the control command;

[0098] S2: The second server sends the classified control commands to the corresponding sub-platforms in the sensor network platform and stores them in the database of the sub-platforms;

[0099] S3: The sub-platform compiles the received data according to the compilation rules configured on the sub-platform and then sends it to the main platform;

[0100] S4: The overall platform processes the compiled data and sends it to the production line equipment and production line sensors on the corresponding object platform.

[0101] In one embodiment, the main platform is configured with a process flow table corresponding to the process flow of the target platform; the process flow table shows the correspondence between each step of the process flow and the production line equipment in the target platform.

[0102] After the main platform receives the compiled data sent by each sub-platform, it sorts the compiled data according to the process flow table to generate a compilation instruction sequence; each piece of compiled data in the compilation instruction sequence corresponds to a time when it is sent to the corresponding production line equipment;

[0103] The main platform sends the corresponding compiled data to the corresponding production line equipment according to the time specified in the compilation instruction sequence.

[0104] In one embodiment, the process flow table is configured with the time difference between the arrival of the same product at different production line equipment;

[0105] The overall platform uses the production line equipment through which the product initially passed as the reference equipment, and the time when the product passed through the reference equipment as the reference time.

[0106] The overall platform generates the time corresponding to each compiled data and the time difference to send it to each production line device, which is then used as the sending time for each production line device.

[0107] The main platform distributes the compiled data to the corresponding production line equipment according to the distribution time.

[0108] In one embodiment, when the object platform transmits the production line data detected by the production line sensors in the object platform to the second server through the sensor network platform, the main platform in the sensor network platform receives the production line data;

[0109] The main platform establishes a correspondence between the production line equipment and the production line data based on the process flow table, and sends the production line data to the corresponding sub-platforms based on the correspondence.

[0110] The sub-platform decodes the received production line data and sends it to the second server.

[0111] In one embodiment, when the second server receives the decoded production line data, it sends the decoded production line data to the first server;

[0112] The first server integrates and processes the decoded production line data to form a production dataset, and then sends the production dataset to the terminal device.

[0113] Those skilled in the art will recognize that the units and algorithm steps of the various examples described in conjunction with the embodiments disclosed herein can be implemented in electronic hardware, computer software, or a combination of both. To clearly illustrate the interchangeability of hardware and software, the components and steps of the various examples have been generally described in terms of functionality in the foregoing description. Whether these functions are implemented in hardware or software depends on the specific application and design constraints of the technical solution. Those skilled in the art can use different methods to implement the described functions for each specific application, but such implementations should not be considered beyond the scope of this invention.

[0114] In the several embodiments provided in this application, it should be understood that the disclosed apparatus and methods can be implemented in other ways. For example, the apparatus embodiments described above are merely illustrative. For instance, the division of units is only a logical functional division, and in actual implementation, there may be other division methods. For example, multiple units or components may be combined or integrated into another system, or some features may be ignored or not executed. In addition, the mutual coupling or direct coupling or communication connection shown or discussed may be indirect coupling or communication connection through some interfaces, devices or units, or may be electrical, mechanical or other forms of connection.

[0115] The units described as separate components may or may not be physically separate. As will be apparent to those skilled in the art, the units and algorithm steps of the various examples described in conjunction with the embodiments disclosed herein can be implemented in electronic hardware, computer software, or a combination of both. To clearly illustrate the interchangeability of hardware and software, the components and steps of the various examples have been generally described in terms of functionality in the foregoing description. Whether these functions are implemented in hardware or software depends on the specific application and design constraints of the technical solution. Those skilled in the art can use different methods to implement the described functions for each specific application, but such implementations should not be considered beyond the scope of this invention.

[0116] Furthermore, the functional units in the various embodiments of the present invention can be integrated into one processing unit, or each unit can exist physically separately, or two or more units can be integrated into one unit. The integrated unit can be implemented in hardware or as a software functional unit.

[0117] If the integrated unit is implemented as a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present invention, in essence, or the part that contributes to the prior art, or all or part of the technical solution, can be embodied in the form of a software product. This computer software product is stored in a storage medium and includes several instructions to cause a computer device (which may be a personal computer, server, or grid device, etc.) to execute all or part of the steps of the methods described in the various embodiments of the present invention. The aforementioned storage medium includes various media capable of storing program code, such as USB flash drives, portable hard drives, read-only memory (ROM), random access memory (RAM), magnetic disks, or optical disks.

[0118] The specific embodiments described above further illustrate the purpose, technical solution, and beneficial effects of the present invention. It should be understood that the above description is only a specific embodiment of the present invention and is not intended to limit the scope of protection of the present invention. Any modifications, equivalent substitutions, improvements, etc., made within the spirit and principles of the present invention should be included within the scope of protection of the present invention.

Claims

1. Post-platform sensor network platform industrial IoT includes: The system consists of a user platform, a service platform, a management platform, a sensor network platform, and an object platform that interact sequentially; characterized in that: the user platform is configured as a terminal device and the interaction is compiled with the user; The service platform is configured as the first server, receiving instructions from the user platform and sending them to the management platform, and extracting information from the management platform that is needed to process the user platform and sending it to the user platform. The management platform is configured as a second server, controls the operation of the object platform, and receives feedback data from the object platform. The sensor network platform is configured as a communication network and gateway for interaction between the object platform and the management platform. The object platform is configured to perform manufacturing of production line equipment and production line sensors; The service platform and the management platform are centrally deployed; the centralized deployment means that any platform can uniformly receive, process, and send data. The sensor network platform is deployed in a distributed platform manner; the distributed platform manner means that the sensor network platform has a main platform and multiple sub-platforms. The multiple sub-platforms store and process data of different types or different recipients sent by the management platform. The main platform summarizes, stores, and processes the data from the multiple sub-platforms and transmits the data to the recipient platform. When the second server sends control commands to the object platform through the sensor network platform, the control commands are classified according to the communication protocol of the object receiving the control commands; The second server sends the classified control commands to the corresponding sub-platforms in the sensor network platform and stores them in the database of the sub-platforms. The sub-platform compiles the received data according to the compilation rules configured on the sub-platform and then sends it to the main platform; The overall platform processes the compiled data and sends it to the production line equipment and production line sensors on the corresponding object platform; The main platform is configured with a process flow table corresponding to the process flow of the target platform; the process flow table shows the correspondence between each step of the process flow and the production line equipment in the target platform. After the main platform receives the compiled data sent by each sub-platform, it sorts the compiled data according to the process flow table to generate a compilation instruction sequence; each piece of compiled data in the compilation instruction sequence corresponds to a time when it is sent to the corresponding production line equipment; The main platform sends the corresponding compiled data to the corresponding production line equipment according to the time in the compilation instruction sequence; The process flow table includes the time difference between the arrival of the same product at different production line equipment. The overall platform uses the production line equipment through which the product initially passed as the reference equipment, and the time when the product passed through the reference equipment as the reference time. The overall platform generates the time corresponding to each compiled data and the time difference to send it to each production line device, which is then used as the sending time for each production line device. The main platform distributes the compiled data to the corresponding production line equipment according to the distribution time.

2. The industrial IoT platform of the post-platform sensor network as described in claim 1, characterized in that, When the object platform transmits the production line data detected by the production line sensors in the object platform to the second server through the sensor network platform, the main platform in the sensor network platform receives the production line data; The main platform establishes a correspondence between the production line equipment and the production line data based on the process flow table, and sends the production line data to the corresponding sub-platforms based on the correspondence. The sub-platform decodes the received production line data and sends it to the second server.

3. The industrial IoT platform of the post-platform sensor network as described in claim 2, characterized in that, When the second server receives the decoded production line data, it sends the decoded production line data to the first server; The first server integrates and processes the decoded production line data to form a production dataset, and then sends the production dataset to the terminal device.

4. A post-platform-based industrial IoT control method for sensor network platforms, applied to a user platform, service platform, management platform, sensor network platform, and object platform that interact sequentially; characterized in that, in: The user platform is configured as a terminal device and interacts with the user; The service platform is configured as the first server, receiving instructions from the user platform and sending them to the management platform, and extracting information from the management platform that is needed to process the user platform and sending it to the user platform. The management platform is configured as a second server, controls the operation of the object platform, and receives feedback data from the object platform. The sensor network platform is configured as a communication network and gateway for interaction between the object platform and the management platform. The object platform is configured to perform manufacturing of production line equipment and production line sensors; The service platform and the management platform are centrally deployed; the centralized deployment means that any platform can uniformly receive, process, and send data. The sensor network platform is deployed in a distributed platform manner; the distributed platform manner means that the sensor network platform has a main platform and multiple sub-platforms. The multiple sub-platforms store and process data of different types or different recipients sent by the management platform. The main platform summarizes, stores, and processes the data from the multiple sub-platforms and transmits the data to the recipient platform. The method includes: When the second server sends control commands to the object platform through the sensor network platform, the control commands are classified according to the communication protocol of the object receiving the control commands; The second server sends the classified control commands to the corresponding sub-platforms in the sensor network platform and stores them in the database of the sub-platforms. The sub-platform compiles the received data according to the compilation rules configured on the sub-platform and then sends it to the main platform; The overall platform processes the compiled data and sends it to the production line equipment and production line sensors on the corresponding object platform; The main platform is configured with a process flow table corresponding to the process flow of the target platform; the process flow table shows the correspondence between each step of the process flow and the production line equipment in the target platform. After the main platform receives the compiled data sent by each sub-platform, it sorts the compiled data according to the process flow table to generate a compilation instruction sequence; each piece of compiled data in the compilation instruction sequence corresponds to a time when it is sent to the corresponding production line equipment; The main platform sends the corresponding compiled data to the corresponding production line equipment according to the time in the compilation instruction sequence; The process flow table includes the time difference between the arrival of the same product at different production line equipment. The overall platform uses the production line equipment through which the product initially passed as the reference equipment, and the time when the product passed through the reference equipment as the reference time. The overall platform generates the time corresponding to each compiled data and the time difference to send it to each production line device, which is then used as the sending time for each production line device. The main platform distributes the compiled data to the corresponding production line equipment according to the distribution time.

5. The industrial IoT control method for a post-platform sensor network platform according to claim 4, characterized in that, When the object platform transmits the production line data detected by the production line sensors in the object platform to the second server through the sensor network platform, the main platform in the sensor network platform receives the production line data; The main platform establishes a correspondence between the production line equipment and the production line data based on the process flow table, and sends the production line data to the corresponding sub-platforms based on the correspondence. The sub-platform decodes the received production line data and sends it to the second server.

6. The industrial IoT control method for a post-platform sensor network platform according to claim 5, characterized in that, When the second server receives the decoded production line data, it sends the decoded production line data to the first server; The first server integrates and processes the decoded production line data to form a production dataset, and then sends the production dataset to the terminal device.

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