Intelligent mobile phone interactive noise self-prior perception analysis system

Abstract

The invention provides an interactive self-prior perception data acquisition and reconstruction method based on a smart phone, and provides a method for integrating self-prior perception into an interactive perception noise detection system aiming at the problems of more data redundancy, high energy consumption in a processing process and the like in an interactive perception system. According to the method, noise data information of the whole environment is reconstructed by using a small amount of noise data, the data acquisition amount is effectively reduced, and in order to improve the accuracy of the acquired data, before the noise data is acquired, a coarse-grained audio modal dynamic evaluation method is provided to speculate an application scene of a participant in a task sensing process; the environmental noise interactive sensing system is designed and realized, the redundancy of noise data is solved, the credibility of the data is guaranteed, the personal privacy is protected, the acquisition efficiency is improved, a participant intuitively obtains the noise distribution condition of a specific area through a thermodynamic map, and the system plays a great role in noise monitoring and analysis.

Description

technical field [0001] The present application relates to a smart phone interactive noise perception analysis system, in particular to a smart phone interactive noise self-a priori perception analysis system, which belongs to the technical field of interactive noise perception analysis. Background technique [0002] As the coverage of smartphones becomes wider and wider, a sensing data collection method—interactive sensing—was born to complete sensing tasks through different individuals. Participants collect and store data that meets the requirements of the sensing task through smart phone sensors, and then process the collected data and push it to the server. The server will integrate and analyze all the uploaded data to obtain the corresponding results. Finally, the results of the analysis are fed back to the participants. At present, interactive perception has been applied to a certain extent, such as driving route planning and environmental pollution monitoring. [000...

AI Technical Summary

Problems solved by technology

[0017] This application proposes data collection and reconstruction based on interactive self-a priori perception of smartphones for environmental perception. Aiming at the problems of excessive data redundancy and high energy consumption in the processing process in the interactive perception system, it is proposed to integrate self-a priori perception into The interactive perceptual noise detection system uses a small amount of noise data to reconstruct the entire environmental noise data information, effectively reducing the amount of data collected. In order to improve the accuracy of collected data, a coarse-grained coarse-grained audio frequency is proposed before collecting noise data. The modal dynamic evaluation method speculates on the application scenarios of the participants in the perception task process; an interactive environmental noise perception system is designed and implemented. The client uses a smart phone equipped with an intelligent operating system to collect and compress noise data. And send the data to the server. Participants can view the noise map on the mobile phone. The server adopts the Web service method based on the REST architecture, which is responsible for receiving the data sent from the client, and processing and reconstructing the data. Finally, the reconstruction The results are fed back to the client, which solves the redundancy of noisy data, ensures the credibility of the data, protects personal privacy, and improves the collection efficiency. In the system, participants can intuitively obtain what they care about in the form of heat maps. Regional noise distribution has great practical significance and broad application prospects for noise monitoring and analysis;

[0021] Before collecting noise data, a coarse-grained audio modal dynamic evaluation method is proposed to speculate on the application scenarios of participants in the process of perception tasks, so as to improve the accuracy of data collection; based on the interactive perception system, there are many redundant noise data. , To deal with the problem of high energy consumption in the process, it is proposed to integrate self-a priori perception into the interactive perception noise detection system, and use a small amount of noise data to reconstruct the entire environmental noise data information, reducing the amount of data collection;

Images