Multi-gas alarm intelligent escape navigation system

Abstract

The invention discloses a multi-gas alarm intelligent escape navigation system, and relates to the technical field of electronic technologies. A multi-gas alarm intelligent escape navigation system comprises a hardware layer, a communication layer and a software layer, the hardware layer comprises a sensor module, a wireless transmitting module, a positioning tag module and a power management module, and the communication layer comprises a LoRa gateway and an edge computing module. The software layer comprises a cloud management platform, a positioning and map matching module, a dynamic path planning algorithm model and a tablet terminal APP. The system can adapt to more scenes by arranging the sensor module for detecting various gases, and can generate a map model and a dynamic position model matched with the map model by arranging the edge calculation module, the cloud management platform, the positioning and map matching module and the dynamic path planning algorithm model, and plan various escape path models. The method can be used as escape guidance in complex and changeable environments.

Description

Technical Field

[0001] The present invention relates to the technical field of electronics, and particularly relates to a multi-gas alarm intelligent escape navigation system. Background Art

[0002] In current industrial production, chemical industry, mining, laboratories and many other fields, there are various toxic and harmful gases, such as carbon monoxide, hydrogen sulfide, methane, etc. The leakage of these gases will not only cause serious pollution to the surrounding environment, but more seriously, it will pose a great threat to the life safety of on-site workers. Traditional gas alarm systems are usually limited to monitoring and alarming a single type of gas, and the escape guidance functions they provide are relatively basic, unable to meet the high standards of safety protection in more complex and changeable environmental conditions. Summary of the Invention

[0003] The purpose of the present invention is to provide a multi-gas alarm intelligent escape navigation system, which solves the problems that traditional gas alarm systems are usually limited to monitoring and alarming a single type of gas, and the escape guidance functions they provide are relatively basic, unable to meet the high standards of safety protection in more complex and changeable environmental conditions.

[0004] To achieve the above object, the present invention provides the following technical solutions: A multi-gas alarm intelligent escape navigation system includes a hardware layer, a communication layer, and a software layer. The hardware layer includes a sensor module, a wireless transmission module, a positioning tag module, and a power management module. The sensor module is responsible for detecting combustible gases, oxygen, and toxic gases. The wireless transmission module is a dual-mode communication of LoRa + Wi-Fi. The positioning tag module is used to achieve centimeter-level indoor positioning. The power management module is provided with a replaceable lithium battery, and the power management module provides a low battery warning. The communication layer includes a LoRa gateway and an edge computing module. The LoRa gateway is responsible for receiving alarm data, and the LoRa gateway is responsible for uploading local data to the cloud server through a 4G / 5G network. The edge computing module preprocesses abnormal data through edge computing. The software layer includes a cloud management platform, a positioning and map matching module, a dynamic path planning algorithm model, and a tablet terminal APP. The cloud management platform provides multi-user login and permission management, and has functions of storing historical data, analyzing gas concentration trends, and generating safety reports. The positioning and map matching module matches the location of the information data source with the map through the information data provided by the cloud management platform, and provides a dynamic location model. The dynamic path planning algorithm model plans multiple escape path models through the information data provided by the cloud management platform and the information data of the dynamic location model. The tablet terminal APP displays the locations of each alarm point, gas concentration, device status, dynamic location model, and escape path model. The tablet terminal APP provides functions such as map mode, device information list mode, AR real-scene navigation, voice broadcast, one-key distress call, manual calibration, and escape path comparison.

[0005] Further, in the LoRa+Wi-Fi dual-mode communication, LoRa is used for long-distance and low-power transmission, and Wi-Fi is used for high-precision indoor positioning.

[0006] Further, the positioning tag module is a Bluetooth Beacon.

[0007] Further, the analysis of gas concentration trends is obtained by synthesizing the gas concentration information transmitted by each of the sensor modules.

[0008] Further, the positioning and map matching module performs indoor and outdoor integrated positioning and 3D map models.

[0009] Further, the data parameters involved in the dynamic path planning algorithm model include real-time gas concentration distribution, the current location of personnel, and the building structure map. The algorithm logic of the positioning and map matching module is to dynamically avoid dangerous diffusion areas, evaluate the risk weights of multiple paths through the Dijkstra algorithm, and dynamically update the escape paths.

[0010] Further, the communication layer adopts anti-interference design and low-power design. The anti-interference design includes frequency hopping technology and data encryption transmission technology. In the low-power design, the alarm is in a normal sleep state and wakes up once every 1 minute, and switches to the real-time transmission mode when the concentration exceeds the standard.

[0011] Further, the map mode provides switching between 3D and 2D map models, and the map mode marks the concentration colors of the map model in red, orange, and yellow according to the gas concentration value data provided by the sensor module. The device information list mode displays the device ID, gas concentration value, and the last update time. The AR real - scene navigation is formed by superimposing the camera image with escape arrows and danger area prompts. The voice broadcast is to timely broadcast straight - line distance, left - turn, and right - turn voice prompts according to the position information. The one - key emergency call is to send the device location and on - site gas data to the rescue center. The manual calibration is to correct the positioning deviation or mark temporary obstacles. The escape path comparison function provides options for the shortest path and the safest path, which can be manually switched by the user.

[0012] The beneficial effects of the present invention are as follows: By setting up a sensor module for detecting multiple gases, this application can adapt to more scenarios. By setting up an edge computing module, a cloud management platform, a positioning and map matching module, and a dynamic path planning algorithm model, a map model and a matching dynamic position model are generated, and multiple escape path models are planned, which can be used as an escape guide in complex and changeable environments, providing intelligent escape navigation for users. Detailed implementation manners

[0016] In the description of the present invention, it should be noted that unless otherwise clearly specified and limited, the terms "installation", "connection", and "coupling" should be understood in a broad sense. For example, it can be a fixed connection, a detachable connection, or an integral connection; it can be a mechanical connection or an electrical connection; it can be directly connected or indirectly connected through an intermediate medium, and it can be the communication inside two components. For those of ordinary skill in the art, the specific meanings of the above terms in the present invention can be understood according to specific situations.

[0017] In addition, the technical features involved in different embodiments of the present invention described below can be combined with each other as long as they do not conflict with each other.

[0018] A multi - gas alarm intelligent escape navigation system shown in a preferred embodiment of the present application includes a hardware layer, a communication layer, and a software layer. The hardware layer includes a sensor module, a wireless transmission module, a positioning tag module, and a power management module. The sensor module is responsible for detecting combustible gases, oxygen, and toxic gases. The wireless transmission module is a dual - mode communication of LoRa + Wi - Fi. The positioning tag module is used to achieve centimeter - level indoor positioning. The power management module is equipped with a replaceable lithium battery, and the power management module provides a low - battery warning. The communication layer includes a LoRa gateway and an edge computing module. The LoRa gateway is responsible for receiving alarm data and uploading local data to the cloud server through a 4G / 5G network. The edge computing module preprocesses abnormal data through edge computing. The software layer includes a cloud management platform, a positioning and map matching module, a dynamic path planning algorithm model, and a tablet terminal APP. The cloud management platform provides multi-user login and permission management. The cloud management platform has functions such as storing historical data, analyzing gas concentration trends, and generating safety reports. The positioning and map matching module matches the location of the information data source with the map through the information data provided by the cloud management platform, and provides a dynamic location model. The dynamic path planning algorithm model plans multiple escape path models through the information data provided by the cloud management platform and the information data of the dynamic location model. The tablet terminal APP displays the locations of each alarm point, gas concentration, device status, dynamic location model, and escape path model. The tablet terminal APP provides functions such as map mode, device information list mode, AR real-time navigation, voice broadcast, one-key SOS, manual calibration, and escape path comparison.

[0019] In the LoRa+Wi-Fi dual-mode communication, LoRa is used for long-distance and low-power transmission, and Wi-Fi is used for high-precision indoor positioning.

[0020] The positioning tag module is any one of a Bluetooth Beacon and a UWB ultra-wideband chip. In this embodiment, the positioning tag module is a Bluetooth Beacon.

[0021] Analyzing the gas concentration trend is obtained by synthesizing the gas concentration information transmitted by each sensor module.

[0022] The positioning and map matching module performs indoor-outdoor integrated positioning and 3D map models.

[0023] The data parameters involved in the dynamic path planning algorithm model include real-time gas concentration distribution, the current position of personnel, and a building structure map. The algorithm logic of the positioning and map matching module is to dynamically avoid dangerous diffusion areas, evaluate the risk weights of multiple paths through the Dijkstra algorithm, and dynamically update the escape paths.

[0024] The communication layer adopts anti-interference design and low-power design. The anti-interference design includes frequency hopping technology and data encryption transmission technology. In the low-power design, the alarm is in a normal sleep state and wakes up once every 1 minute, and switches to the real-time transmission mode when the concentration exceeds the standard.

[0025] The map mode provides switching between 3D and 2D map models. The map mode marks the concentration color of the map model with red, orange, and yellow according to the gas concentration value data provided by the sensor module. The device information list mode displays the device ID, gas concentration value, and the last update time. The AR real-time navigation is formed by superimposing the camera image with escape arrows and danger area prompts. The voice broadcast provides voice prompts for the straight-line distance, left turn, and right turn according to the current position information in a timely manner. The one-key SOS function sends the device location and on-site gas data to the rescue center. The manual calibration corrects the positioning deviation or marks temporary obstacles. The escape route comparison function provides options for the shortest path and the safest path, which can be manually switched by the user.

[0026] The devices used in this system meet the requirements of GB 3836 (explosion protection), GB / T 28184 (fire emergency system), ATEX, and IECEx, and have an explosion-proof mark (Ex ib IIB T4 Gb).

[0027] In summary, the present invention provides a multi-gas alarm intelligent escape navigation system. By setting a sensor module for detecting multiple gases, the device can adapt to more scenarios. By setting an edge computing module, a cloud management platform, a positioning and map matching module, and a dynamic path planning algorithm model, a map model and a dynamic position model matching it are generated, and multiple escape path models are planned, which can be used as an escape guide in complex and changing environments, providing intelligent escape navigation for users.

[0028] The technical features of the above-described embodiments can be combined arbitrarily. For the sake of brevity of description, not all possible combinations of the technical features in the above embodiments are described. However, as long as there is no contradiction in the combination of these technical features, it should be considered as the scope described in this specification.

Claims

1. A multi-gas alarm intelligent escape navigation system, including a hardware layer, a communication layer, and a software layer, characterized in that: The hardware layer includes a sensor module, a wireless transmission module, a positioning tag module, and a power management module. The sensor module is responsible for detecting combustible gas, oxygen, and toxic gas. The wireless transmission module is LoRa+Wi-Fi dual-mode communication. The positioning tag module is used to achieve centimeter-level indoor positioning. The power management module is provided with a replaceable lithium battery, and the power management module provides a low-battery warning; The communication layer includes LoRa gateway and edge computing module. The LoRa gateway is responsible for receiving alarm data and uploading local data to the cloud server via the 4G / 5G network. The edge computing module preprocesses abnormal data through edge computing; The software layer includes a cloud management platform, a positioning and map matching module, a dynamic path planning algorithm model, and a tablet terminal APP. The cloud management platform provides multi-user login and authority management. The cloud management platform has the functions of storing historical data, analyzing gas concentration trends, and generating safety reports. The positioning and map matching module matches the location of the information data source with the map through the information data provided by the cloud management platform, and provides a dynamic location model. The dynamic path planning algorithm model plans a variety of escape path models through the information data provided by the cloud management platform and the dynamic location model information data. The tablet terminal APP displays the location of each alarm point, gas concentration, equipment status, dynamic location model, and escape path model. The tablet terminal APP provides map mode, equipment information list mode, AR real-scene navigation, voice broadcast, one-click rescue, manual calibration, and escape path comparison functions.

2. The multi-gas alarm intelligent escape navigation system according to claim 1, characterized in that, In the LoRa+Wi-Fi dual-mode communication, LoRa is used for long-distance low-power transmission, and Wi-Fi is used for indoor high-precision positioning.

3. The multi-gas alarm intelligent escape navigation system according to claim 1, characterized in that The positioning tag module is a Bluetooth Beacon.

4. The multi-gas alarm intelligent escape navigation system according to claim 1, characterized in that, The analyzed gas concentration trend is obtained by integrating the gas concentration information transmitted by the sensor modules at various locations.

5. A multi-gas alarm intelligent escape navigation system according to claim 1, characterized in that, The positioning and map matching module integrates indoor and outdoor positioning and 3D map models.

6. The multi-gas alarm intelligent escape navigation system according to claim 1, characterized in that, The data parameters involved in the dynamic path planning algorithm model include real-time gas concentration distribution, personnel current location, and building structure map. The algorithm logic of the positioning and map matching module is to dynamically avoid the danger diffusion area, evaluate the risk weights of multiple paths through the Dijkstra algorithm, and dynamically update the escape path.

7. The multi-gas alarm intelligent escape navigation system according to claim 1, characterized in that, The communication layer adopts anti-interference design and low power consumption design. The anti-interference design includes frequency hopping technology and data encryption transmission technology. In the low-power design, the alarm normally sleeps for 1 minute and wakes up once, and switches to real-time transmission mode when the concentration exceeds the standard.

8. The multi-gas alarm intelligent escape navigation system according to claim 1, characterized in that, The map mode provides switching between 3D and 2D map models. The map mode marks the map model with red, orange and yellow concentration colors according to the gas concentration value data provided by the sensor module. The device information list mode displays the device ID, gas concentration value, and last updated time. The AR real - scene navigation is formed by superimposing the camera image with escape arrows and danger area prompts. The voice broadcast timely reports straight - line distance, left - turn, and right - turn voice prompts according to the location information. The one - key SOS function sends the device location and on - site gas data to the rescue center. The manual calibration corrects positioning deviations or marks temporary obstacles. The escape path comparison function provides options for the shortest path and the safest path, and the user can switch manually.