CN-121997968-A - Construction method of man-machine environment data processing intelligent agent and edge computing equipment

CN121997968ACN 121997968 ACN121997968 ACN 121997968ACN-121997968-A

Abstract

The embodiment of the application provides a construction method of a man-machine environment data processing intelligent body and edge computing equipment, wherein in the construction method of the man-machine environment data processing intelligent body, the edge computing equipment acquires man-machine environment data processing requirement information, determines a plurality of different man-machine environment data processing modules matched with the requirement information, and after configuration parameters of the modules, the edge computing equipment determines a time sequence processing logic relationship among the modules and is connected with the modules according to the time sequence processing logic relationship. Then, the edge computing device generates executable agents according to the connected data processing modules of the human-computer environments, and further the edge computing device can generate the data processing flow according to the agents, so that the human-computer environment data processing flow can be generated and adjusted by configuring the agents, the time cost and energy consumed by a user in flow design and adjustment are reduced, and the user experience is improved.

Inventors

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Assignees

北京津发科技股份有限公司

Dates

Publication Date: 20260508
Application Date: 20251225

Claims (10)

1. The method for constructing the man-machine environment data processing intelligent body is characterized by comprising the following steps of: Acquiring man-machine environment data processing requirement information; Determining a plurality of different man-machine environment data processing modules matched with the requirement information and configuration parameters of each man-machine environment data processing module; determining a time sequence processing logic relationship among the man-machine environment data processing modules, and connecting the man-machine environment data processing modules according to the time sequence processing logic relationship; And generating executable intelligent agents according to the man-machine environment data processing modules after connection is established.
2. The method of claim 1, wherein the obtaining human machine environment data processing requirement information comprises: Acquiring natural language input by a user; and analyzing the natural language to acquire the man-machine environment data processing requirement information.
3. The method of claim 2, wherein said determining a temporal processing logic relationship between each of said human machine environment data processing modules comprises: And determining a time sequence processing logic relationship among the man-machine environment data processing modules according to the man-machine environment data processing requirement information.
4. The method of claim 1, wherein the determining a plurality of different human machine environment data processing modules that match the demand information, and the configuration parameters of each of the human machine environment data processing modules comprises: Acquiring a plurality of different man-machine environment data processing modules selected by a user through a graphical user interface; and acquiring configuration parameters of each man-machine environment data processing module configured by the user through the graphical user interface.
5. The method of claim 4, wherein said determining a temporal processing logic relationship between each of said human machine environment data processing modules comprises: And acquiring a time sequence processing logic relation among the man-machine environment data processing modules set by the user through the graphical user interface.
6. The method of claim 1, wherein the determining a plurality of different human machine environment data processing modules that match the demand information, and the configuration parameters of each of the human machine environment data processing modules comprises: Acquiring a template selected by a user through a graphical user interface, wherein the template comprises a plurality of different man-machine environment data processing modules matched with the requirement information and configuration parameters of the man-machine environment data processing modules; The determining the time sequence processing logic relation among the man-machine environment data processing modules comprises the following steps: and acquiring a time sequence processing logic relation among the man-machine environment data processing modules from the template.
7. The method according to any one of claims 1-6, wherein after generating the executable agent according to each of the man-machine environment data processing modules after establishing the connection, further comprising: testing and running the intelligent agent, and verifying an output result of a man-machine environment data processing flow generated according to the intelligent agent; According to the verification result, adjusting configuration parameters of all the man-machine environment data processing modules and/or time sequence processing logic relations among all the man-machine environment data processing modules; and regenerating the executable agent based on the adjustment result.
8. The method of any one of claims 1-6, wherein the human-machine environment data comprises one or a combination of a human-body-related data collector, a machine-related data collector, a human-machine interaction-related data collector, an environment-related data collector; The human body related data includes one or a combination of skin temperature data, pulse data, blood pressure data, blood oxygen data, electrocardiographic data, myoelectric data, myooxygen data, respiratory data, biomechanical data, near infrared brain imaging data, electroencephalogram data, transcranial stimulation data, heart rate variability data, heart rate data, image/video data, sound data, eye movement data, gestures or motion data; the machine-related data includes one or a combination of machine operation data, fault alert data, machine handling data, machine model data, machine communication data, machine positioning data; the man-machine interaction related data comprises one or a combination of man-machine voice interaction data, man-machine text interaction data, man-machine touch interaction data, man-machine gesture or action interaction data, man-machine brain-electricity interaction data, man-machine eye movement interaction data and man-machine expression interaction data; The environment-related data includes one or a combination of position data, humidity data, temperature data, chromaticity data, brightness data, weather data, road condition data, traffic data, stimulus signal data, event or signal marking data; the plurality of different man-machine environment data processing modules comprise a data acquisition module, a data processing module, a data analysis module and a report generation module; When the man-machine environment data is electroencephalogram data, the configuration parameters of the data acquisition module comprise connection equipment types, sampling rates, channel numbers, real-time filtering parameters and/or lead selection, the configuration parameters of the data processing module comprise bad guide removal/interpolation, filtering, re-referencing, artifact removal and/or data segmentation, the configuration parameters of the data analysis module comprise time domain analysis, frequency spectrum analysis and/or artificial intelligence personnel state coding analysis, and the configuration parameters of the report generation module comprise report titles, report information, rich text editing and/or chart selection.
9. An edge computing device, comprising: The apparatus of any of claims 1-8, wherein the one or more computer programs are stored in the memory, the one or more computer programs comprising instructions that, when executed by the edge computing device, cause the edge computing device to perform the method of any of claims 1-8.
10. A computer readable storage medium, characterized in that the computer readable storage medium has stored therein a computer program which, when run on a computer, causes the computer to perform the method according to any of claims 1-8.

Description

Construction method of man-machine environment data processing intelligent agent and edge computing equipment Technical Field The embodiment of the application relates to the technical fields of electric digital data processing, biological information technology, artificial intelligence, artificial factor and ergonomics, in particular to a construction method of an intelligent agent for human-computer environment data processing and edge computing equipment. Background In the prior art, a multi-source data acquisition and analysis system often needs a user to have higher technical background knowledge to perform flow configuration, is complex to operate and is not beneficial to non-professional staff. The existing multi-source data acquisition and analysis system has poor expansibility, is difficult to adapt to the requirements of different application scenes, and causes a great deal of time and effort to be consumed by users in process design and adjustment. Disclosure of Invention The embodiment of the application provides a construction method and edge computing equipment of a human-machine environment data processing agent, and also provides a computer readable storage medium for realizing the generation and adjustment of a human-machine environment data processing flow by configuring the agent, reducing the time cost and energy consumed by a user in flow design and adjustment and improving the user experience. In a first aspect, an embodiment of the present application provides a method for constructing a human-machine environment data processing agent, including obtaining human-machine environment data processing requirement information, determining a plurality of different human-machine environment data processing modules matched with the requirement information, and configuration parameters of each human-machine environment data processing module, determining a time sequence processing logic relationship between each human-machine environment data processing module, connecting each human-machine environment data processing module according to the time sequence processing logic relationship, and generating an executable agent according to each human-machine environment data processing module after connection is established. The method for constructing the man-machine environment data processing agent can realize that the man-machine environment data processing flow is generated and adjusted by configuring the agent, so that the time cost and energy consumed by a user in flow design and adjustment are reduced, and the user experience is improved. In one possible implementation manner, the acquiring the information of the processing requirement of the man-machine environment data may be acquiring a natural language input by a user, and analyzing the natural language to acquire the information of the processing requirement of the man-machine environment data. In one possible implementation manner, determining the time sequence processing logic relationship between the man-machine environment data processing modules may be determining the time sequence processing logic relationship between the man-machine environment data processing modules according to the man-machine environment data processing requirement information. In the implementation manner, through the large dialogue model, a user can describe the man-machine environment data processing requirement by using natural language, and the edge computing equipment automatically generates synchronous acquisition and intelligent analysis agents, so that the automatic design of the data processing flow can be realized. In one possible implementation manner, determining a plurality of different man-machine environment data processing modules matched with the requirement information, and configuration parameters of each man-machine environment data processing module may be to obtain a plurality of different man-machine environment data processing modules selected by a user through a graphical user interface, and obtain configuration parameters of each man-machine environment data processing module configured by the user through the graphical user interface. In one possible implementation manner, determining the time sequence processing logic relationship between the man-machine environment data processing modules may be to obtain the time sequence processing logic relationship between the man-machine environment data processing modules set by the user through the graphical user interface. The implementation mode allows a user to conveniently configure the man-machine environment data processing flow through a graphical user interface. In one possible implementation manner, determining a plurality of different man-machine environment data processing modules matched with the requirement information and configuration parameters of the man-machine environment data processing modules may be to obtain a template selected by a user through a graphical user interf