Internet of things platform and AI agent cooperative work system and method

Abstract

The invention provides an Internet of Things platform and AI agent cooperative work method and system, and the method comprises the steps: S1, collecting data information through Internet of Things equipment, and transmitting the collected data information to an Internet of Things platform; s2, receiving and storing the data information by using an Internet of Things platform; and S3, analyzing and processing the data information meeting the preset requirements by using the AI agent to obtain an analysis result, performing abnormality judgment according to the analysis result, and when an abnormality occurs, generating a coping strategy according to the analysis result. Through interaction of multiple AI agents and the IoT platform, the problems of complexity of multi-field data integration and analysis, task allocation and execution and challenges of multi-party information exchange and cooperation in intelligent management are solved.

Description

Technical Field

[0001] The present invention relates to the field of artificial intelligence technology, and specifically, to a collaborative working system and method between an Internet of Things platform and an AI agent, and more specifically, to a pan-industrial management method and system based on the collaboration between an Internet of Things IoT platform and an AI agent. Background Art

[0002] With the rapid development of IoT and AI technologies, the amount of data generated by IoT devices has increased dramatically, and the effective processing and analysis of this data has become a challenge. Traditional IoT platforms usually require manual data analysis, which is not only inefficient but also prone to errors.

[0003] Patent document CN113222170A (application number: 202110341808.6) discloses an intelligent algorithm and model for an IoT AI collaborative service platform. It includes assembling an embedded AI engine and connecting it to the local system, downloading the AI ​​processing model in the cloud, collecting parameters with a sensor device, enabling the corresponding AI intelligent technology in combination with the application scenario, implementing training and algorithm tuning under the embedded AI framework, realizing collaborative services, data analysis, and timely outputting feedback application results, etc.

[0004] In order to solve this problem, the present invention proposes a system and method for the collaborative work of an IoT platform and an AI agent to improve data processing efficiency and accuracy. Summary of the invention

[0005] In view of the defects in the prior art, the purpose of the present invention is to provide a system and method for collaborative working of an Internet of Things platform and an AI agent.

[0006] A method for collaborative working of an Internet of Things platform and an AI agent provided by the present invention includes:

[0007] Step S1: Collect data information using IoT devices and transmit the collected data information to the IoT platform;

[0008] Step S2: Receive and store data information using the IoT platform;

[0009] Step S3: Use the AI ​​agent to analyze and process the data information that meets the preset requirements, obtain the analysis results, and make abnormal judgments based on the analysis results. When an abnormality occurs, generate a response strategy based on the analysis results.

[0010] Preferably, step S1 comprises: collecting data information by using an IoT device; and transmitting the collected data information to an IoT platform via a secure and encrypted communication protocol.

[0011] Preferably, step S2 includes: the Internet of Things platform receives the data information, pre-processes the received data information, classifies the pre-processed data information, and stores the classified data information separately in the Internet of Things platform.

[0012] Preferably, step S3 comprises:

[0013] Step S3.1: Obtain user request information, analyze user intent based on the user request information, and convert the user intent into a task description; then decompose the task description into several subtasks;

[0014] Step S3.2: assign each subtask to a corresponding AI agent, and the AI ​​agent sends data requests to the IoT platform and / or other AI agents according to task requirements;

[0015] Step S3.3: The IoT platform and / or other AI agents transmit corresponding data to the AI ​​agent according to the data request;

[0016] Step S3.4: The AI ​​agent analyzes and processes the acquired data to obtain analysis results;

[0017] Step S3.5: The AI ​​master agent obtains the analysis results of each AI agent, and performs comprehensive analysis and processing on the analysis results of each AI agent to obtain a comprehensive analysis result;

[0018] Step S3.6: The AI ​​general agent generates corresponding response strategies based on the comprehensive analysis results, and feeds back the comprehensive analysis results and corresponding response strategies to the user end.

[0019] Preferably, the step S3.1 comprises:

[0020] Step S3.1.1: Use NLP technology to parse user request information and infer user intentions;

[0021] Step S3.1.2: Convert user intent into task description, and then decompose the task description into several subtasks.

[0022] Preferably, step S3 includes: the IoT platform transmits the stored data to the corresponding AI agent according to preset rules, the AI ​​agent compares the acquired data with historical data and preset standards, and when the preset requirements are not met, generates warning information and response strategies, and feeds back the warning information and response strategies to the user end.

[0023] According to the present invention, an Internet of Things platform and AI agent collaborative working system is provided, comprising:

[0024] Module M1: Use IoT devices to collect data information and transmit the collected data information to the IoT platform;

[0025] Module M2: Receive and store data information using the IoT platform;

[0026] Module M3: Use AI agents to analyze and process data information that meets preset requirements, obtain analysis results, and make abnormal judgments based on the analysis results. When an abnormality occurs, a response strategy is generated based on the analysis results.

[0027] Preferably, the module M1 comprises: collecting data information using an IoT device; and transmitting the collected data information to an IoT platform via a secure and encrypted communication protocol;

[0028] The module M2 includes: the Internet of Things platform receives data information, pre-processes the received data information, classifies the pre-processed data information, and stores the classified data information separately in the Internet of Things platform.

[0029] Preferably, the module M3 comprises:

[0030] Module M3.1: Obtain user request information, analyze user intent based on the user request information, and convert the user intent into a task description; then decompose the task description into several subtasks;

[0031] Module M3.2: Assign each subtask to the corresponding AI agent, and the AI ​​agent sends data requests to the IoT platform and / or other AI agents according to the task requirements;

[0032] Module M3.3: The IoT platform and / or other AI agents transmit the corresponding data to the AI ​​agent based on the data request;

[0033] Module M3.4: The AI ​​agent analyzes and processes the acquired data to obtain analysis results;

[0034] Module M3.5: The AI ​​general agent obtains the analysis results of each AI agent, and performs comprehensive analysis and processing on the analysis results of each AI agent to obtain a comprehensive analysis result;

[0035] Module M3.6: The AI ​​general agent generates corresponding response strategies based on the comprehensive analysis results, and feeds back the comprehensive analysis results and corresponding response strategies to the user end;

[0036] The module M3.1 includes:

[0037] Module M3.1.1: Use NLP technology to parse user request information and infer user intent;

[0038] Module M3.1.2: Convert user intent into task descriptions, and then decompose the task descriptions into several subtasks.

[0039] Preferably, the module M3 includes: the Internet of Things platform transmits the stored data to the corresponding AI agent according to preset rules, the AI ​​agent compares the acquired data with historical data and preset standards, and when the preset requirements are not met, it generates early warning information and response strategies, and feeds back the early warning information and response strategies to the user end.

[0040] Compared with the prior art, the present invention has the following beneficial effects:

[0041] 1. The present invention solves the challenges of multi-domain data integration and analysis, task allocation and execution, and multi-party information exchange and collaboration in intelligent management through the interaction of multiple AI agents and IoT platforms;

[0042] 2. The multi-AI agent system of the present invention can dynamically allocate tasks according to task requirements, and through data exchange and collaborative work between agents and between agents and IoT platforms, it improves the overall intelligent level of industrial system management and ensures the stable operation and optimized decision-making capabilities of the system in complex environments.

[0043] 3. The present invention can help enterprises improve decision-making efficiency, reduce operating costs, enhance forecasting capabilities, optimize maintenance plans, and improve product quality. BRIEF DESCRIPTION OF THE DRAWINGS

[0044] Other features, objects and advantages of the present invention will become more apparent from the detailed description of non-limiting embodiments made with reference to the following drawings:

[0045] Figure 1 This is a diagram of the AI ​​multi-level agent architecture.

[0046] Figure 2 This is a flow chart of sub-agent collaboration.

[0047] Figure 3 The figure is a schematic diagram of a specific example of the sub-agent collaboration process.

[0048] Figure 4 Flowchart of the AI ​​agent that actively interacts with the IoT platform.

[0049] Figure 5 Flowchart of the AI ​​agent actively interacting with the IoT platform. DETAILED DESCRIPTION

[0050] The present invention is described in detail below in conjunction with specific embodiments. The following embodiments will help those skilled in the art to further understand the present invention, but are not intended to limit the present invention in any form. It should be noted that, for those of ordinary skill in the art, several changes and improvements can also be made without departing from the concept of the present invention. These all belong to the protection scope of the present invention.

[0051] Example 1

[0052] According to a method for collaborative working of an Internet of Things platform and an AI agent provided by the present invention, Figures 1 to 4 As shown, including:

[0053] Step S1: Collect data information using IoT devices and transmit the collected data information to the IoT platform;

[0054] Step S2: Receive and store data information using the IoT platform;

[0055] Step S3: Use the AI ​​agent to analyze and process the data information that meets the preset requirements, obtain the analysis results, and make abnormal judgments based on the analysis results. When an abnormality occurs, generate a response strategy based on the analysis results.

[0056] In this embodiment, the IoT devices are used to collect data information; the IoT platform is used to receive and store data transmitted by the IoT devices and to interact with the AI ​​agent; the AI ​​agent is used to analyze and process the data of the IoT platform and provide intelligent judgment and decision support.

[0057] Specifically, the step S1 includes:

[0058] In this embodiment, the Internet of Things is used to collect environmental data, including temperature, humidity, and pressure data; and the data is transmitted to the Internet of Things platform through a secure and encrypted communication protocol.

[0059] Specifically, step S2 includes: after the IoT platform receives the data from the IoT device, it preprocesses the data, including data cleaning, to obtain preprocessed data to ensure data quality and integrity; and classifies and stores the preprocessed data.

[0060] Specifically, step S3 includes:

[0061] Step S3.1: The AI ​​general agent obtains user request information, analyzes user intent based on the user request information, and converts the user intent into a task description; then decomposes the task description into several subtasks;

[0062] In this embodiment, the AI ​​general agent uses NLP technology to parse the natural language input by the user, including semantic understanding, intent classification and entity recognition, to accurately capture the user's needs; by analyzing the context and the user's interaction history, the user's specific intention is inferred, and possible implicit information is considered. The abstract user intention is converted into a clear task description to ensure the accuracy and effectiveness of the task decomposition. The AI ​​general agent decomposes large tasks into small tasks according to user needs, and each small task has a clear execution path and goal. Determine the execution priority of each subtask based on the urgency, resource requirements and dependencies of the task.

[0063] Step S3.2: The task coordinator assigns each subtask to the corresponding AI agent, and the AI ​​agent sends data requests to the IoT platform and / or other AI agents according to the task requirements;

[0064] In this embodiment, the task coordinator assigns each subtask to a dedicated AI sub-agent, ensuring that each agent is able to handle tasks within its area of ​​expertise.

[0065] Step S3.3: The IoT platform and / or other AI agents transmit corresponding data to the AI ​​agent according to the data request;

[0066] In this embodiment, each AI agent sends a data request to the IoT platform through a predefined interface or API according to its task requirements; the IoT platform screens and organizes the relevant sensor data according to the request to ensure the accuracy and real-time nature of the data. The IoT platform returns the screened data to the requesting AI agent for further analysis and processing.

[0067] If the data requirements of the AI ​​agent are still not met, it will request the required related data from other sub-agents.

[0068] When the AI ​​agent receives data from the IoT platform, if it finds that the data is insufficient to solve the current problem, it will identify the additional data types required. The AI ​​agent sends a request to other AI sub-agents with relevant data processing capabilities, describing the specific data or analysis results it needs. After receiving the request, each AI sub-agent will extract or generate the required data from its data source and prepare to return it to the requesting AI agent.

[0069] The AI ​​sub-agent and IoT platform return the data required by the AI ​​agent.

[0070] Step S3.4: The AI ​​agent analyzes and processes the acquired data to obtain analysis results, and then transmits the analysis results to the task coordinator;

[0071] In this embodiment, each specialized AI sub-agent begins to execute the assigned task, and each sub-agent generates corresponding execution results according to the task requirements, ensuring that the results contain necessary detailed information and analysis reports; the sub-agent feeds back the execution results to the task coordinator for subsequent result integration and comprehensive analysis.

[0072] Step S3.5: The task coordinator receives and integrates the analysis results of each AI agent to obtain a comprehensive analysis result;

[0073] In this embodiment, the task coordinator receives and integrates the execution results of each sub-agent, and comprehensively analyzes and processes the results through methods such as data aggregation and model reasoning.

[0074] Step S3.6: The task coordinator transmits the comprehensive analysis results to the AI ​​general agent. The AI ​​general agent obtains the comprehensive analysis results and makes an abnormal judgment on the comprehensive analysis results. When an abnormality occurs, a corresponding response strategy is generated based on the comprehensive analysis results.

[0075] In this embodiment, the AI ​​general agent feeds back the comprehensive final results to the user or system, completes the comprehensive processing and response of task requirements, and ensures the user or system's satisfaction and effect evaluation of task execution.

[0076] Example 2

[0077] According to a method for collaborative working of an Internet of Things platform and an AI agent provided by the present invention, Figure 5 As shown, including:

[0078] Step S1: Collect data information using IoT devices and transmit the collected data information to the IoT platform;

[0079] Step S2: Receive and store data information using the IoT platform;

[0080] Step S3: Use the AI ​​agent to analyze and process the data information that meets the preset requirements, obtain the analysis results, and make abnormal judgments based on the analysis results. When an abnormality occurs, generate a response strategy based on the analysis results.

[0081] In this embodiment, the IoT devices are used to collect data information; the IoT platform is used to receive and store data transmitted by the IoT devices and to interact with the AI ​​agent; the AI ​​agent is used to analyze and process the data of the IoT platform and provide intelligent judgment and decision support.

[0082] Specifically, the step S1 includes:

[0083] In this embodiment, the Internet of Things is used to collect environmental data, including temperature, humidity, and pressure data; and the data is transmitted to the Internet of Things platform through a secure and encrypted communication protocol.

[0084] Specifically, step S2 includes: after the IoT platform receives the data from the IoT device, it preprocesses the data, including data cleaning, to obtain preprocessed data to ensure data quality and integrity; and classifies and stores the preprocessed data.

[0085] Specifically, step S3 includes: the IoT platform transmits the stored data to the corresponding AI agent according to the preset rules. After receiving the data, the AI ​​agent conducts in-depth analysis of the received data, including: the AI ​​agent compares the data with historical data and preset standards, identifies possible problems and generates corresponding treatment plans or warning information. After completing the analysis, the AI ​​agent immediately feeds back the results to the user interface or related system to support real-time decision-making and further operations.

[0086] The present invention also provides an Internet of Things platform and AI agent collaborative working system, which can be implemented by executing the process steps of the Internet of Things platform and AI agent collaborative working method, that is, technical personnel in this field can understand the Internet of Things platform and AI agent collaborative working method as a preferred implementation method of the Internet of Things platform and AI agent collaborative working system.

[0087] Those skilled in the art know that, in addition to realizing the system and its various devices, modules, and units provided by the present invention in a purely computer-readable program code, it is entirely possible to realize the same functions in the form of logic gates, switches, application-specific integrated circuits, programmable logic controllers, and embedded microcontrollers by logically programming the method steps. Therefore, the system and its various devices, modules, and units provided by the present invention can be considered as a hardware component, and the devices, modules, and units included therein for realizing various functions can also be regarded as structures within the hardware component; the devices, modules, and units for realizing various functions can also be regarded as both software modules for realizing the method and structures within the hardware component.

[0088] The above describes the specific embodiments of the present invention. It should be understood that the present invention is not limited to the above specific embodiments, and those skilled in the art can make various changes or modifications within the scope of the claims, which does not affect the essence of the present invention. In the absence of conflict, the embodiments of the present application and the features in the embodiments can be combined with each other arbitrarily.

Claims

1. A collaborative working method of an Internet of Things platform and an AI agent, characterized in that: include: Step S1: Collect data information using IoT devices and transmit the collected data information to the IoT platform; Step S2: Receive and store data information using the IoT platform; Step S3: Use the AI ​​agent to analyze and process the data information that meets the preset requirements, obtain the analysis results, and make abnormal judgments based on the analysis results. When an abnormality occurs, generate a response strategy based on the analysis results.

2. The method for collaborative working of the Internet of Things platform and the AI ​​agent according to claim 1, characterized in that: The step S1 includes: collecting data information by using IoT devices; and transmitting the collected data information to the IoT platform through a secure and encrypted communication protocol.

3. The method for collaborative working of the Internet of Things platform and the AI ​​agent according to claim 1, characterized in that: The step S2 includes: the Internet of Things platform receives the data information, pre-processes the received data information, classifies the pre-processed data information, and stores the classified data information separately in the Internet of Things platform.

4. The method for collaborative working of the Internet of Things platform and the AI ​​agent according to claim 1, characterized in that: The step S3 comprises: Step S3.1: The AI ​​general agent obtains user request information, analyzes user intent based on the user request information, and converts the user intent into a task description; then decomposes the task description into several subtasks; Step S3.2: The task coordinator assigns each subtask to the corresponding AI agent, and the AI ​​agent sends data requests to the IoT platform and / or other AI agents according to the task requirements; Step S3.3: The IoT platform and / or other AI agents transmit corresponding data to the AI ​​agent according to the data request; Step S3.4: The AI ​​agent analyzes and processes the acquired data to obtain analysis results, and then transmits the analysis results to the task coordinator; Step S3.5: The task coordinator receives and integrates the analysis results of each AI agent to obtain a comprehensive analysis result; Step S3.6: The task coordinator transmits the comprehensive analysis results to the AI ​​general agent. The AI ​​general agent obtains the comprehensive analysis results and makes an abnormal judgment on the comprehensive analysis results. When an abnormality occurs, a corresponding response strategy is generated based on the comprehensive analysis results.

5. The method for collaborative working of the Internet of Things platform and the AI ​​agent according to claim 4, characterized in that: The step S3.1 comprises: Step S3.1.1: Use NLP technology to parse user request information and infer user intentions; Step S3.1.2: Convert user intent into task description, and then decompose the task description into several subtasks.

6. The method for collaborative working of the Internet of Things platform and the AI ​​agent according to claim 1, characterized in that: The step S3 includes: the IoT platform transmits the stored data to the corresponding AI agent according to preset rules, and the AI ​​agent compares the acquired data with historical data and preset standards, and generates early warning information and response strategies when the preset requirements are not met.

7. An IoT platform and AI agent collaborative working system, characterized in that: include: Module M1: Use IoT devices to collect data information and transmit the collected data information to the IoT platform; Module M2: Receive and store data information using the IoT platform; Module M3: Use AI agents to analyze and process data information that meets preset requirements, obtain analysis results, and make abnormal judgments based on the analysis results. When an abnormality occurs, a response strategy is generated based on the analysis results.

8. The IoT platform and AI agent collaborative working system according to claim 7, characterized in that: The module M1 includes: using IoT devices to collect data information; and transmitting the collected data information to the IoT platform through a secure and encrypted communication protocol; The module M2 includes: the Internet of Things platform receives data information, pre-processes the received data information, classifies the pre-processed data information, and stores the classified data information separately in the Internet of Things platform.

9. The IoT platform and AI agent collaborative working system according to claim 7, characterized in that: The module M3 comprises: Module M3.1: Obtain user request information, analyze user intent based on the user request information, and convert the user intent into a task description; then decompose the task description into several subtasks; Module M3.2: Assign each subtask to the corresponding AI agent, and the AI ​​agent sends data requests to the IoT platform and / or other AI agents according to the task requirements; Module M3.3: The IoT platform and / or other AI agents transmit the corresponding data to the AI ​​agent based on the data request; Module M3.4: The AI ​​agent analyzes and processes the acquired data to obtain analysis results; Module M3.5: The AI ​​general agent obtains the analysis results of each AI agent, and performs comprehensive analysis and processing on the analysis results of each AI agent to obtain a comprehensive analysis result; Module M3.6: The AI ​​general agent generates corresponding response strategies based on the comprehensive analysis results, and feeds back the comprehensive analysis results and corresponding response strategies to the user end; The module M3.1 includes: Module M3.1.1: Use NLP technology to parse user request information and infer user intent; Module M3.1.2: Convert user intent into task descriptions, and then decompose the task descriptions into several subtasks.

10. The IoT platform and AI agent collaborative working system according to claim 7, characterized in that: The module M3 includes: the IoT platform transmits the stored data to the corresponding AI agent according to preset rules, the AI ​​agent compares the acquired data with historical data and preset standards, and generates warning information and response strategies when the preset requirements are not met, and feeds back the warning information and response strategies to the user end.

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