Indoor environment intelligent inspection method and system based on self-moving data acquisition equipment

Abstract

The present disclosure relates to an indoor environment intelligent inspection method and system based on self-moving data acquisition equipment. The method includes: obtaining real-time positioning information of different positions, real-time environmental parameters and video images of each position; and analyzing the data by using a data processing device Calculation and image recognition to obtain the distribution field of environmental parameters in the entire space of the target area, the distribution of real-time personnel activities at each location, and the operating status information of the enclosure structure and equipment; the above results are fed back to the building operator or output to the central control system . The disclosure realizes the mobile perception of the indoor environment, thereby solving the problem of monitoring the spatial distribution field of the indoor environment at low cost and high efficiency; at the same time, it organically combines the data collection and monitoring of multiple elements such as spatial structure, environmental parameters, personnel activities, and equipment components. Analytical technology can more comprehensively and deeply grasp the comprehensive operating status of the environment, so as to carry out scientific and targeted environmental regulation and optimization.

Description

technical field [0001] The present disclosure relates to the technical field of environmental monitoring, and in particular to an indoor environment intelligent inspection method and system based on self-moving data acquisition equipment. Background technique [0002] The indoor environment of buildings is not only closely related to the comfort and health of the human body, but also directly affects the energy consumption of buildings. Therefore, obtaining and mastering the characteristics of indoor environment in real time is of great significance for improving its comfort and health performance and building energy saving. [0003] Related technologies usually use sensors at fixed locations in the building to collect environmental parameters in a fixed-sensing manner. It is difficult to obtain environmental parameters at locations other than monitoring points with fixed-sensing methods. Limited by factors such as monitoring costs and installation conditions, only limited ...

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Problems solved by technology

[0003] Related technologies usually use sensors at fixed locations in the building to collect environmental parameters in a fixed-sensing manner. It is difficult to obtain environmental parameters at locations other than monitoring points with fixed-sensing methods. Limited by factors such as monitoring costs and installation conditions, only limited A small number of measuring points are installed in the location, and the indoor environmental parameters have strong non-uniformity in spatial distribution, and are easily affected by multiple factors (such as outdoor climate, enclosure structure, environmental building end, personnel activities, etc.), so related technologies Only the environmental parameters of a few local areas are collected, which cannot represent all spatial areas, especially for large public spaces with large depth and wide area such as shopping mall corridors, exhibition halls, and terminal check-in halls.

This disadvantage also leads to a deviation between the monitored environmental parameters and the actual environmental parameters felt by the personnel (the installation position of the sensor is not necessarily the actual location of the personnel), which makes the environmental control strategy based on environmental monitoring out of touch with the actual feelings of the personnel. Unable to achieve "on-demand supply", low input-output ratio

The final result is that the environmental quality and personnel satisfaction cannot be effectively improved, and it will also cause energy waste

Moreover, related technologies only focus on the monitoring of environmental parameters themselves, while ignoring the collection of other boundary conditions that may affect the indoor environment, such as how many people are in the room and where are their approximate locations; Obvious cold and heat bridge; Is there any other internal heat source, what is the heating power or temperature;

As a result, there is still a serious problem of information asymmetry between building operators and the actual environment, making it difficult to accurately improve the quality of the indoor environment

[0004] To sum up, related technologies cannot accurately and comprehensively evaluate and diagnose the overall environmental conditions of the target area, and related technologies only detect a single environmental parameter, which has limitations. In this way, environmental control equipment (such as fresh air systems, Air conditioners, etc.) to control, usually can not accurately respond to demand, poor user experience

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