Indoor environment spatio-temporal distribution field generation method based on combination of mobile and fixed sensing

Abstract

The present disclosure relates to a method for generating indoor environment spatio-temporal distribution field combined with mobile and fixed sensing, the method includes: collecting the first type of environmental parameter data (continuous in space but discrete in time) by using mobile equipment, and collecting the second type of environmental parameter data by using fixed equipment. Class environmental parameter data (continuous in time but discrete in space); generate the spatio-temporal distribution field of environmental parameters according to the first-class environmental parameter data and the second-class environmental parameter data; use the output device to output the spatio-temporal distribution field of environmental parameters. The embodiments of the present disclosure organically combine mobile and fixed perception to achieve complementary advantages, efficiently, comprehensively and scientifically obtain the distribution characteristics and laws of indoor environment parameters in time and space dimensions, and generate indoor environment space-time distribution fields, thereby assisting building operators Carry out refined environmental regulation, realize "on-demand supply", and finally achieve double improvement of environmental quality and energy efficiency.

Description

technical field [0001] The present disclosure relates to the technical field of environmental monitoring, and in particular to a method for generating an indoor environment spatio-temporal distribution field combining mobile and fixed sensing. Background technique [0002] People spend nearly 90% of their time indoors, and the quality of the indoor environment directly affects people's comfort, health and work efficiency. In recent years, with the improvement of people's quality of life and the continuous pursuit of comfort and health, the importance of indoor environmental parameter monitoring has been paid more and more attention by the industry and society. Constantly facing new challenges. [0003] However, indoor environmental parameters have strong heterogeneity in time and space distribution, and are easily affected by multiple factors (such as outdoor climate, enclosure structure, environmental building end, personnel activities, etc.), and it is difficult to use lo...

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Problems solved by technology

[0005] The so-called fixed sensing refers to the installation of environmental parameter sensors at fixed locations for long-term and continuous monitoring. The data obtained by it can have the advantages of long period and high density in the time dimension, but it has shortcomings in the space dimension, and often only a single Or the environmental parameters of a small number of measuring points, rather than the environmental distribution field of the overall space. There are two main reasons: 1) To obtain refined spatial distribution characteristics, it is necessary to install a large number of environmental measuring points densely, which will lead to a significant increase in monitoring costs , the feasibility is low, so the number of measuring points in actual projects is often very limited; 2) Even if the cost is not considered, but limited by factors such as installation conditions, it is difficult to deploy measuring points at any position in actual engineering, especially in large depths and large areas. Public spaces (such as shopping mall corridors, exhibition halls, terminal check-in halls, etc.)

[0006] The so-called mobile sensing refers to the mobile monitoring of environmental parameter sensors carried by devices such as cars or intelligent mobile robots. Yes: After the sensor monitors the environment of a certain position at time T, it will move to the next position at time T+1. It usually takes a long time to return to this position. Therefore, for any position, the obtained environment Parameter data are discontinuous, and monitoring with high time granularity cannot be achieved

In addition, in the mobile sensing mode, it is difficult to monitor for a long time

[0007] To sum up, the traditional fixed sensing and mobile sensing methods have their own advantages and disadvantages, making it difficult to achieve both in terms of time and space dimensions of monitoring data.

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