Metadata self-learning-based industrial equipment multi-protocol self-adaptive access and management system

Abstract

The invention is applicable to the technical field of protocol access and management, and particularly relates to an industrial equipment multi-protocol adaptive access and management system based on metadata self-learning, the system comprises protocol sharing equipment, scene sorting equipment and protocol deployment equipment, the protocol sharing equipment is used for finding out industrial equipment needing to be accessed, and the scene sorting equipment is used for sorting the scene of the industrial equipment needing to be accessed; the method comprises the following steps: acquiring a use scene of devices of the same type, establishing a local area network by using edge devices pre-deployed in the use scene, and acquiring metadata of each device of the same type in the use scene, the metadata at least comprising a device type and a communication protocol. By setting the protocol deployment equipment and generating the evaluation result, the use effects of the target protocol at different application levels can be determined, the configuration problem of the target protocol can be corrected in time, the access reliability of industrial equipment can be improved, reference can be provided for protocol optimization, and the user experience can be improved. And the flexibility and the intelligent level of the industrial network are greatly improved.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of protocol access and management, and in particular to an industrial equipment multi-protocol adaptive access and management system based on metadata self-learning. BACKGROUND

[0002] Metadata is information used to describe the characteristics, attributes and structure of data itself, which can be simply understood as attribute data. It is not the data itself, but an additional description of the data. For example, the metadata of a picture may include the shooting time, location, camera model, resolution and file size. Industrial equipment protocol refers to a set of rules and standards used in industrial automation systems for data communication and control instruction exchange between different industrial equipment. Multi-protocol refers to protocols at different levels, including device side, access side and platform side, etc. By collecting the metadata of industrial equipment and its usage scenarios, a digital description of the equipment and scenarios is established, and the metadata is analyzed and modeled to mine the access rules and optimal communication strategies of the equipment, thereby realizing adaptive access of the protocol, reducing manual intervention, and improving the intelligentization and self-management capability of the industrial network.

[0003] However, in the prior art, protocol access often relies on manual setting or fixed templates. Since it is unable to intelligently adapt to the equipment type and usage scenario, the equipment access efficiency is low, especially in an industrial environment where multiple manufacturers, multiple models and multiple protocols coexist.

[0004] Therefore, the technical problem to be solved by the present application is how to select the most suitable communication protocol for industrial equipment. SUMMARY

[0005] The present application aims to provide an industrial equipment multi-protocol adaptive access and management system based on metadata self-learning to solve the problem of how to select the most suitable communication protocol for industrial equipment as mentioned in the background.

[0006] To achieve the above-mentioned purpose, the present application provides the following technical solution: The industrial equipment multi-protocol adaptive access and management system based on metadata self-learning comprises: The system comprises a protocol sharing device, a scenario sorting device and a protocol deployment device. The protocol sharing device is used to find out the industrial equipment to be accessed, collect the usage scenarios of the same type of equipment, use the edge device pre-deployed in the usage scenario to build a local area network, and collect the metadata of each same type of equipment in the usage scenario, wherein the metadata at least includes the equipment type and the communication protocol. The scene sorting device is configured to, when receiving a real-time access request of the industrial equipment, find out the accessed equipment, and traverse a plurality of similar scenes from the use scene, calculate a total number of occurrences of each equipment type in all similar scenes, sort the equipment types in descending order of the total number, and generate a queue. The protocol deployment device is configured to extract, in sequence, a communication protocol corresponding to the equipment type at the head of the queue to obtain a target protocol, delimit an application level of the industrial equipment, the application level at least including a device side, an access side and a platform side, edit a protocol adaptation rule, deploy the target protocol into a corresponding application level, set an evaluation index, determine an evaluation result of each target protocol, and adjust the target protocol based on the evaluation result.

[0007] Further, the protocol sharing device includes: The building module is configured to find out the industrial equipment to be accessed, collect use scenes of the same type of equipment, and build a local area network by using an edge device pre-deployed in the use scene. The collection module is configured to collect metadata of each same type of equipment in the use scene, wherein the metadata at least includes an equipment type and a communication protocol.

[0008] Further, the scene sorting device includes: The traversal module is configured to, when receiving a real-time access request of the industrial equipment, find out the accessed equipment, and traverse a plurality of similar scenes from the use scene. The calculation module is configured to calculate a total number of occurrences of each equipment type in all similar scenes, sort the equipment types in descending order of the total number, and generate a queue.

[0009] Further, the protocol deployment device includes: The editing module is configured to extract, in sequence, a communication protocol corresponding to the equipment type at the head of the queue to obtain a target protocol, delimit an application level of the industrial equipment, the application level at least including a device side, an access side and a platform side, and edit a protocol adaptation rule. The deployment module is configured to deploy the target protocol into a corresponding application level, set an evaluation index, determine an evaluation result of each target protocol, and adjust the target protocol based on the evaluation result.

[0010] Further, the building module includes: The acquisition unit is configured to acquire use data of the same type of equipment, wherein the use data at least includes equipment performance and communication traffic. The insertion unit is configured to create a protocol sharing platform and insert a label generated from the use data into the communication protocol.

[0011] Further, the collection module comprises: A corresponding unit is configured to establish a corresponding relationship among the use scenarios, the communication protocols and the use data; An integration unit is configured to integrate all the corresponding relationships to generate a protocol adaptation library.

[0012] Further, the collection module further comprises: An embedding unit is configured to upload the protocol adaptation library to a protocol sharing platform and embed an identity authentication mechanism; A recording unit is configured to record the calling results and generate use feedback.

[0013] Further, the calculation module comprises: An updating unit is configured to update the similar scenarios according to a preset frequency; An adjusting unit is configured to set a plurality of sorting indexes and adjust the queue.

[0014] Further, the editing module comprises: A selecting unit is configured to select a plurality of available protocols from the target protocols via the protocol adaptation rules; A delivering unit is configured to generate a selection window by using the available protocols and deliver the selection window to a preset terminal.

[0015] Further, the deployment module comprises: A mapping unit is configured to establish a mapping between the communication protocols and the evaluation results; An uploading unit is configured to integrate all the evaluation results to generate a result set and upload the result set to the protocol sharing platform, wherein each communication protocol corresponds to a result set.

[0016] Compared with the prior art, the present application has the following beneficial effects: By setting the protocol sharing device and collecting the metadata, the basic attributes and the running environment of each industrial device can be clearly described, the same type of devices and their communication capabilities can be accurately identified, the most suitable communication protocol can be quickly matched, the access failure caused by manual configuration or blind attempts can be avoided, by setting the scenario sorting device and determining the similar devices, the reference sources of the communication protocols can be greatly widened, the most common and stable protocol scheme can be preferentially selected, the manual intervention and the configuration errors can be reduced, the access success rate can be improved, by setting the protocol deployment device and generating the evaluation results, the use effects of the target protocol at different application levels can be determined, not only the configuration problems of the target protocol can be corrected in time, the access reliability of the industrial devices can be improved, but also the protocol optimization can be provided with reference, the flexibility and the intelligent level of the industrial network can be greatly improved. BRIEF DESCRIPTION OF DRAWINGS

[0017] Figure 1A component block diagram of the industrial equipment multi-protocol adaptive access and management system based on metadata self-learning provided by the embodiment of the present application is shown in the figure. Figure 2 A component block diagram of the protocol sharing device in the industrial equipment multi-protocol adaptive access and management system based on metadata self-learning provided by the embodiment of the present application is shown in the figure. Figure 3 A component block diagram of the scene sorting device in the industrial equipment multi-protocol adaptive access and management system based on metadata self-learning provided by the embodiment of the present application is shown in the figure. Figure 4 A component block diagram of the protocol deployment device in the industrial equipment multi-protocol adaptive access and management system based on metadata self-learning provided by the embodiment of the present application is shown in the figure. Figure 5 A component block diagram of the building module in the industrial equipment multi-protocol adaptive access and management system based on metadata self-learning provided by the embodiment of the present application is shown in the figure. Figure 6 A component block diagram of the collection module in the industrial equipment multi-protocol adaptive access and management system based on metadata self-learning provided by the embodiment of the present application is shown in the figure. Figure 7 A component block diagram of the calculation module in the industrial equipment multi-protocol adaptive access and management system based on metadata self-learning provided by the embodiment of the present application is shown in the figure. Figure 8 A component block diagram of the editing module in the industrial equipment multi-protocol adaptive access and management system based on metadata self-learning provided by the embodiment of the present application is shown in the figure. Figure 9 A component block diagram of the deployment module in the industrial equipment multi-protocol adaptive access and management system based on metadata self-learning provided by the embodiment of the present application is shown in the figure. DETAILED DESCRIPTION

[0018] In order to make the purpose, technical scheme and advantages of the present application clearer, the present application is further described in detail below in combination with the drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present application and do not limit the present application.

[0019] Figure 1 The industrial equipment multi-protocol adaptive access and management system based on metadata self-learning provided by the embodiment of the present application is shown in the figure, and the following is described in detail as follows: The system comprises a protocol sharing device 11, a scene sorting device 12 and a protocol deployment device 13. The protocol sharing device 11 is configured to find out the industrial device to be accessed, collect the use scenarios of the same type of device, use the edge device deployed in the use scenario to build a local area network, and collect the metadata of each same type of device in the use scenario, wherein the metadata at least includes the device type and the communication protocol.

[0020] The protocol sharing device 11 is configured to find out the industrial device to be accessed, collect the use scenarios of the same type of device, use the edge device deployed in the use scenario to build a local area network, and collect the metadata of each same type of device in the use scenario, wherein the metadata at least includes the device type and the communication protocol.

[0021] The scene sorting device 12 is configured to find out the accessed device when receiving the real-time access request of the industrial device, and traverse a plurality of similar scenes from the use scenario, calculate the total number of occurrences of each device type in all similar scenes, sort the device types in descending order of the total number, and generate a queue.

[0022] When receiving the real-time access request of the industrial device, the basic information and the metadata of the industrial device are obtained by analyzing the real-time request, the same type of device is defined as a similar scene in the database of the accessed device. This method has the advantages that: by comparing and traversing, the similar scene is determined, which can provide reference access strategy and configuration parameters for the newly accessed industrial device, and realize the rapid adaptation and intelligent management of device access.

[0023] The scene sorting device 12 is configured to find out the accessed device when receiving the real-time access request of the industrial device, and traverse a plurality of similar scenes from the use scenario, calculate the total number of occurrences of each device type in all similar scenes, sort the device types in descending order of the total number, and generate a queue.

[0024] The protocol deployment device 13 is used for sequentially extracting a communication protocol corresponding to a device type at a head of a queue to obtain a target protocol, delimiting an application level of the industrial equipment, the application level at least including a device side, an access side and a platform side, editing a protocol adaptation rule, deploying the target protocol into a corresponding application level, setting an evaluation index, determining an evaluation result of each target protocol, and adjusting the target protocol based on the evaluation result.

[0025] The communication protocol corresponding to the device type at the head of the queue is defined as the target protocol, and the number of target protocols can be one or several. In this embodiment, the communication protocol of the device type at the head of the queue is used to deploy the industrial equipment, and after deployment, testing and evaluation are performed. After the evaluation is completed, the communication protocol of the device type at the second position of the queue is selected as the target protocol for deployment and evaluation. In this way, the process is repeated until multiple rounds of adaptation are performed. The number of rounds is determined by the management personnel of the industrial equipment. The application level of the industrial equipment is delimited, and the application level includes the device side, the access side and the platform side, etc. The device side mainly refers to the industrial equipment itself, which is used for local control and sensing functions. The access side mainly includes edge devices, which are used to realize data interaction and protocol adaptation between the industrial equipment and the edge devices. The platform side refers to a centralized management and data processing platform, which is used to uniformly monitor, analyze and dispatch the DCS or PLC system of the industrial equipment, etc. The protocol adaptation rule is edited, and the protocol adaptation rule is mainly used to limit and assist the deployment of the target protocol, so as to ensure that the industrial equipment can safely and efficiently communicate in the given network architecture and application level. The target protocol should be deployed into the application level according to the use scene and use demand of the industrial equipment. The evaluation index is set, and the evaluation index includes communication reliability, data transmission efficiency, compatibility, response delay and stability of protocol execution, etc. The evaluation index is used to measure the performance of the target protocol in the actual use scene. A corresponding scoring standard is set for each evaluation index, and the target protocol is scored to obtain a corresponding score. The score is defined as the evaluation result, and the evaluation result of each target protocol is sequentially determined. According to the obtained evaluation result, the target protocol most suitable for the industrial equipment is screened out, and the target protocol is deployed into the corresponding application level.

[0026] Figure 2 The composition structure block diagram of the industrial equipment multi-protocol adaptive access and management system based on metadata self-learning provided by the embodiment of the present application is shown, and the protocol sharing device 11 includes: The building module 111 is used for finding out the industrial equipment that needs to be accessed, collecting the use scene of the same type of equipment, and building a local area network by using the edge device pre-deployed in the use scene.

[0027] The industrial equipment needing to be accessed into the DCS or the PLC system is searched, same type equipment of the industrial equipment is determined, the same type equipment can be the same equipment or similar equipment, a use scenario of the same type equipment is determined, the use scenario is a production system or a production line. An edge device in the use scenario is determined, and a local area network is established by using the industrial equipment or other communication equipment in combination with the edge device, and the local area network is mainly used for transmitting, sharing and updating the communication protocol of the industrial equipment in a certain area (such as multiple factories).

[0028] The acquisition module 112 is configured to acquire metadata of each same type equipment in the use scenario, wherein the metadata at least includes: equipment type and communication protocol.

[0029] The metadata of each same type equipment in the use scenario is acquired, and the metadata is attribute data.

[0030] Figure 3 A composition block diagram of a scenario sorting device 12 in an industrial equipment multi-protocol adaptive access and management system based on metadata self-learning provided by an embodiment of the application is shown, and the scenario sorting device 12 includes: The traversal module 121 is configured to search for an accessed device when receiving a real-time access request of the industrial equipment, and traverse a plurality of similar scenarios from the use scenario.

[0031] When receiving the real-time access request of the industrial equipment, all industrial equipment in each use scenario is determined, and the use scenario suitable for the industrial equipment needing to be accessed is searched according to the production capacity and equipment performance of the same type equipment use scenario, and is defined as a similar scenario, and the number of similar scenarios is not limited.

[0032] The calculation module 122 is configured to calculate a total number of occurrences of each equipment type in all similar scenarios, sort the equipment types in descending order of the total number of occurrences, and generate a queue.

[0033] In the similar scenario, the number of occurrences of each industrial equipment is determined, the total number of occurrences of each equipment type is calculated, the equipment types are sorted in descending order of the total number of occurrences, and a queue is obtained.

[0034] Figure 4 A composition structure block diagram of a protocol deployment device 13 in an industrial equipment multi-protocol adaptive access and management system based on metadata self-learning provided by an embodiment of the application is shown, and the protocol deployment device 13 includes: The editing module 131 is configured to sequentially extract a communication protocol corresponding to the equipment type at the head of the queue to obtain a target protocol, delimit an application level of the industrial equipment, and edit a protocol adaptation rule, wherein the application level at least includes: a device side, an access side and a platform side.

[0035] All communication protocols of the device type ranked first in the queue are defined as target protocols, when the target protocols are deployed and evaluation is completed, the communication protocol of the device type ranked second is selected for deployment and evaluation, and the process is repeated in sequence. According to the protocol adaptation rules and the specific use scene, the target protocol is deployed into different application levels.

[0036] The deployment module 132 is configured to deploy the target protocol into the corresponding application level, set evaluation indexes, determine the evaluation result of each target protocol, and adjust the target protocol based on the evaluation result.

[0037] After the deployment of the target protocol is completed, the evaluation indexes of the target protocol are determined, the target protocol is scored under each evaluation index through a preset scoring standard, and the score is defined as the evaluation result to determine the evaluation result of each target protocol, thereby determining the target protocol most suitable for the industrial equipment.

[0038] Figure 5 A component structure block diagram of a building module 111 in an industrial equipment multi-protocol adaptive access and management system based on metadata self-learning provided by an embodiment of the present application is shown, and the building module 111 includes: An acquisition unit 1111 is configured to acquire use data of the same type of equipment, wherein the use data at least includes equipment performance and communication traffic.

[0039] The use data of the same type of equipment in respective use scenes is acquired, and the use data includes equipment performance and communication traffic.

[0040] An insertion unit 1112 is configured to create a protocol sharing platform and insert a label generated from the use data into the communication protocol.

[0041] A protocol sharing platform is constructed, wherein the protocol sharing platform is mainly used for unified storage, management and distribution of multiple industrial communication protocols, labels are generated from the use data, and the labels are inserted into the communication protocol.

[0042] Figure 6 A component structure block diagram of a collection module 112 in an industrial equipment multi-protocol adaptive access and management system based on metadata self-learning provided by an embodiment of the present application is shown, and the collection module 112 includes: A corresponding unit 1121 is configured to establish a corresponding relationship among the use scene, the communication protocol and the use data.

[0043] Each industrial equipment corresponds to a use scene and a communication protocol, and each communication protocol also corresponds to a group of use data, so that the corresponding relationship among the use scene, the communication protocol and the use data can be established through the industrial equipment.

[0044] The integration unit 1122 is configured to integrate all the corresponding relationships to generate a protocol adaptation library.

[0045] The use scenarios, communication protocols and use data are centrally stored and associatedly managed, the protocol adaptation library is generated, and each industrial equipment can be quickly matched to the most suitable communication protocol and corresponding configuration parameters under a specific use scenario.

[0046] Figure 6 The component structure block diagram of the acquisition module 112 in the industrial equipment multi-protocol adaptive access and management system based on metadata self-learning provided by the embodiment of the application is shown, and the acquisition module 112 further includes: The embedding unit 1123 is configured to upload the protocol adaptation library to a protocol sharing platform and embed an identity verification mechanism.

[0047] The protocol adaptation library is uploaded to the protocol sharing platform for storage, and the identity verification mechanism is embedded to identify the identity and check the permission of an access subject, for example, an account authentication, a key check or a digital certificate.

[0048] The recording unit 1124 is configured to record a calling result and generate use feedback.

[0049] When the access caller calls a communication protocol, the calling process is recorded, including a calling initiation time, a calling subject identifier, a selected communication protocol type and a protocol version number, and after a preset time length, a feedback request is sent to the access caller to obtain use feedback of the access caller.

[0050] Figure 7 The component structure block diagram of the calculation module 122 in the industrial equipment multi-protocol adaptive access and management system based on metadata self-learning provided by the embodiment of the application is shown, and the calculation module 122 includes: The updating unit 1221 is configured to update the similar scenarios according to a preset frequency.

[0051] The similar scenarios are updated according to the preset frequency, and the preset frequency can be once a day or once a week.

[0052] The adjusting unit 1222 is configured to set a plurality of sorting indexes and adjust the queue.

[0053] When the device types are sorted, in addition to referring to the target protocol, the protocol adaptation complexity and the device running stability and the like should be referred to, indexes that can affect the sorting result are defined as sorting indexes, and the queue is adjusted according to the sorting indexes.

[0054] Figure 8A component structure block diagram of an editing module 131 in an industrial equipment multi-protocol adaptive access and management system based on metadata self-learning is shown, and the editing module 131 comprises: A selecting unit 1311 is configured to select a plurality of available protocols from a target protocol according to the protocol adaptation rule.

[0055] A plurality of available protocols are selected from a target protocol according to a protocol adaptation rule.

[0056] A delivery unit 1312 is configured to generate a selection window by using the available protocols and deliver the selection window to a preset terminal.

[0057] A set composed of the plurality of available protocols is created and written into the selection window, and the selection window is delivered to a preset terminal, wherein the preset terminal refers to a mobile terminal of an industrial equipment manager or a DCS control system, so that the manager can make autonomous selection according to a current equipment type, an operation environment and access demand and the like.

[0058] Figure 9 A component structure block diagram of a deployment module 132 in an industrial equipment multi-protocol adaptive access and management system based on metadata self-learning is shown, and the deployment module 132 comprises: A mapping unit 1321 is configured to establish a mapping between a communication protocol and an evaluation result.

[0059] An uploading unit 1322 is configured to integrate all the evaluation results, generate a result set, and upload the result set to the protocol sharing platform, wherein each communication protocol corresponds to a result set.

[0060] All the evaluation results of the target protocols are integrated to generate a result set, and the result set is uploaded to the protocol sharing platform for storage and management.

[0061] The technical features of the above-described embodiments can be combined in any manner, and to make the description concise, all possible combinations of the technical features in the above-described embodiments are not described, however, as long as the combinations of the technical features do not exist contradictory, they should be considered as the scope of the present disclosure.

[0062] The above-described embodiments only express several implementation manners of the present disclosure, and the description is more specific and detailed, but it should not be understood as a limitation on the patent scope of the present disclosure. It should be pointed out that, for ordinary skilled persons in the art, without departing from the concept of the present disclosure, a number of modifications and improvements can be made, which are all within the protection scope of the present disclosure. Therefore, the patent protection scope of the present disclosure should be subject to the appended claims.

[0063] The above merely describes preferred embodiments of the present application, and is not used to limit the present application, any modification, equivalent replacement and improvement within the spirit and principle of the present application should be included in the protection scope of the present application.

Claims

1. A multi-protocol adaptive access and management system for industrial equipment based on metadata self-learning, characterized in that: The system includes: a protocol sharing device, a scene sorting device, and a protocol deployment device; The protocol sharing device is used to identify the industrial equipment that needs to be connected, collect the usage scenarios of similar equipment, build a local area network using edge devices pre-deployed in the usage scenarios, and collect metadata of each similar equipment in the usage scenarios, wherein the metadata includes at least: equipment type and communication protocol. The scenario sorting device is used to find the connected devices when it receives a real-time access request from industrial equipment, and to traverse several similar scenarios from the usage scenarios, calculate the total number of times each device type appears in all similar scenarios, and sort the device types in descending order of total number of occurrences to generate a queue. The protocol deployment device is used to sequentially extract the communication protocol corresponding to the device type at the top of the queue to obtain the target protocol, define the application layer of the industrial equipment, the application layer includes at least: device side, access side and platform side, edit protocol adaptation rules, deploy the target protocol to the corresponding application layer, set evaluation indicators, determine the evaluation result of each target protocol, and adjust the target protocol based on the evaluation result.

2. The industrial equipment multi-protocol adaptive access and management system based on metadata self-learning according to claim 1, characterized in that, The protocol-sharing device includes: The module is used to identify the industrial equipment that needs to be connected, collect the usage scenarios of similar equipment, and build a local area network using edge devices pre-deployed in the usage scenarios. The acquisition module is used to collect metadata for each device of the same type in the usage scenario, wherein the metadata includes at least: device type and communication protocol.

3. The industrial equipment multi-protocol adaptive access and management system based on metadata self-learning according to claim 1, characterized in that, The scene sorting device includes: The traversal module is used to find the connected devices when a real-time access request is received from industrial equipment, and to traverse several similar scenarios from the usage scenarios. The calculation module is used to calculate the total number of times each device type appears in all similar scenarios, sort the device types in descending order of total number of occurrences, and generate a queue.

4. The industrial equipment multi-protocol adaptive access and management system based on metadata self-learning according to claim 1, characterized in that, The protocol deployment equipment includes: The editing module is used to extract the communication protocols corresponding to the device types at the top of the queue in sequence, obtain the target protocol, define the application layer of the industrial equipment, and the application layer includes at least: device side, access side and platform side, and edit the protocol adaptation rules. The deployment module is used to deploy the target protocol to the corresponding application layer, set evaluation indicators, determine the evaluation result of each target protocol, and adjust the target protocol based on the evaluation result.

5. The industrial equipment multi-protocol adaptive access and management system based on metadata self-learning according to claim 2, characterized in that, The construction module includes: An acquisition unit is used to acquire usage data of devices of the same type, wherein the usage data includes at least: device performance and communication traffic; An insertion unit is used to create a protocol sharing platform and insert tags generated from usage data into the communication protocol.

6. The industrial equipment multi-protocol adaptive access and management system based on metadata self-learning according to claim 5, characterized in that, The acquisition module includes: The corresponding unit is used to establish the correspondence between usage scenarios, communication protocols, and usage data; The integration unit is used to integrate all the corresponding relationships and generate a protocol adapter library.

7. The industrial equipment multi-protocol adaptive access and management system based on metadata self-learning according to claim 6, characterized in that, The acquisition module also includes: An embedding unit is used to upload the protocol adaptation library to the protocol sharing platform and embed an authentication mechanism; The recording unit is used to record the call results and generate usage feedback.

8. The industrial equipment multi-protocol adaptive access and management system based on metadata self-learning according to claim 3, characterized in that, The computing module includes: An update unit is used to update the similar scenarios according to a preset frequency; An adjustment unit is used to set several sorting indicators and adjust the queue.

9. The industrial equipment multi-protocol adaptive access and management system based on metadata self-learning according to claim 4, characterized in that, The editing module includes: The selection unit is used to select several available protocols from the target protocols according to the protocol adaptation rules. The sending unit is used to generate a selection window using the available protocol and send it to a preset terminal.

10. The industrial equipment multi-protocol adaptive access and management system based on metadata self-learning according to claim 9, characterized in that, The deployment module includes: The mapping unit is used to establish a mapping between the communication protocol and the evaluation results; The upload unit is used to integrate all evaluation results, generate a result set, and upload it to the protocol sharing platform, wherein each communication protocol corresponds to a result set.

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