Tramcar internal environment real-time monitoring system and working method thereof

Abstract

The invention provides a tramcar internal environment real-time monitoring system and a working method thereof. The system comprises a monitoring terminal, a main controller, at least one wireless routing node and more than two sensor nodes, wherein the wireless routing node and the main controller are connected through a wireless network; and the wireless routing node and a corresponding sensor node are in network connection through a multicast mode. The method comprises steps: a sensor node acquires a wake-up instruction, an air detection sensor group is awakened for data acquisition, and acquired data are acquired; the sensor node optimizes the acquired data according to a preset mode, and through the corresponding connected wireless routing node, the optimized acquired data are transmitted to a monitoring terminal; and the monitoring terminal carries out real-time display on the optimized acquired data. When the system and the method are applied, the tramcar internal gas concentration can be monitored in real time, and the monitoring precision is improved.

Description

technical field [0001] The invention relates to the technical field of in-vehicle gas detection, in particular to a real-time monitoring system for the environment inside a tram, and also relates to a working method of the real-time monitoring system for the environment inside the tram. Background technique [0002] With the development of the times, trams have completed the transformation from tradition to modernization. As a public transportation system between urban rapid rail transit and conventional public transport, modern trams have the characteristics of reliable operation, comfort, energy saving, environmental protection, etc. It can effectively solve common social problems such as urban traffic congestion and traffic pollution, and is very suitable for the needs of low-carbon and fast transportation in modern cities. However, modern trams are not equipped with a complete intelligent monitoring system for the interior environment similar to limousines, trains, and h...

AI Technical Summary

Problems solved by technology

However, it is designed for automobiles, and the main detected gas is the exhaust gas entering the compartment through the outer circulation, while modern trams are driven by electricity, and the above-mentioned gases will not appear, and the above-mentioned devices cannot dynamically display the monitoring values ​​in real time. Each feedback is only designed for cars, so it cannot be applied to modern trams

[0004] A Chinese utility model patent with the application number "CN201620684893.0" discloses a work permit mobile terminal for communicating with a hazardous gas detector. The terminal uses the Bluetooth module to send the collected data to the terminal and displays it on the display module However, the bluetooth communication technology used has many disadvantages. The short communication distance of bluetooth technology makes the device unsuitable for the narrow and long space of modern trams, and its power consumption is high, which is not in line with the energy saving of modern trams. Environmental Design Concept

[0005] There are many defects in the above equipment, which cannot well meet the requirements of modern trams. They rarely appear on the market, and there are very few environmental safety monitoring devices that can be transplanted to modern trams, and some have potential Most of the portable ones are not compatible because they do not consider the unique environment of modern trams. For example, the ZIGBEE-based wearable gas detection and alarm network disclosed in the Chinese utility model patent with the application number "CN201520629180.X" is very good in all aspects. It meets the requirements of all aspects of the environmental safety detection of modern trams, but it does not consider the unique closed environment of modern trams when collecting data, and designs appropriate algorithms and network structures, resulting in large errors in the collected data , but also did not take into account the problem of real-time dynamic display on the screen

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