A new energy vehicle spontaneous combustion early warning system based on multi-sensor fusion

Abstract

The application discloses a new energy vehicle spontaneous combustion early warning system based on multi-sensor fusion, which can effectively prevent spontaneous combustion accidents and improve vehicle safety. The system comprises a main controller, sensors connected with the main controller, an audible and light alarm module connected with the main controller, an antenna connected with the main controller, a power management module connected with the main controller, a cloud platform, a mobile APP and a PC host computer. The main controller comprises a 4G module for operation and 4G network communication, a power management module for providing power support, a solar panel for charging the power management module, a power adapter and a cigarette lighter interface, an audible and light alarm module for corresponding operation when parameters exceed threshold values, and an antenna for enhancing 4G signal receiving and sending capabilities. Temperature, combustible gas and smoke sensors collect vehicle environment data in real time and transmit the data to the main controller. The main controller analyzes and judges whether a dangerous threshold value is reached. Once an abnormality is detected, an early warning mechanism is triggered immediately. Early warning information is sent to the mobile APP and the PC host computer through the cloud platform. The audible and light alarm module is controlled to give an alarm and the owner's phone is notified, so that vehicle spontaneous combustion early warning is realized.

Description

Technical Field

[0001] This invention relates to the fields of new energy vehicle safety technology and Internet of Things technology, specifically to a new energy vehicle spontaneous combustion early warning system based on multi-sensor fusion, which can monitor key status parameters of new energy vehicles in real time, provide early warning of spontaneous combustion risks, and ensure the safety of vehicles and personnel. Background Technology

[0002] With increasing environmental awareness and adjustments to the energy structure, the market share of new energy vehicles is constantly growing. However, spontaneous combustion incidents involving new energy vehicles occur frequently, posing a serious threat to the lives and property of vehicle owners. Currently, although some vehicle safety monitoring systems exist on the market, systems specifically designed for spontaneous combustion warnings of new energy vehicles still have certain limitations. Existing warning systems often only monitor a single parameter, such as temperature, while spontaneous combustion in new energy vehicles is a complex process that can be triggered by multiple factors, such as battery overheating, short circuits, and flammable gas leaks. Monitoring a single parameter cannot comprehensively and accurately assess the risk of spontaneous combustion, easily leading to false alarms or missed alarms. Furthermore, some warning systems lack real-time capability and intelligence, failing to promptly convey warning information to vehicle owners or relevant personnel, thus missing the optimal response time. Therefore, developing a new energy vehicle spontaneous combustion warning system that can comprehensively monitor multiple key parameters and provide real-time and accurate warnings is of significant practical importance. Summary of the Invention

[0003] To address the aforementioned problems, the purpose of this invention is to provide a new energy vehicle spontaneous combustion early warning system that can monitor various parameters such as temperature, smoke, and combustible gases in real time and immediately send early warning messages when parameters exceed thresholds, thus mitigating potential safety hazards such as battery overheating and short circuits during the charging process of new energy vehicles.

[0004] The objective of this invention is achieved through the following technical solution: A new energy vehicle spontaneous combustion early warning system based on multi-sensor fusion is characterized by comprising: a main controller, sensors connected to the main controller, an audible and visual alarm module connected to the main controller, an antenna connected to the main controller, a power management module connected to the main controller, a cloud platform, a mobile APP, and a PC-based host computer; the main controller includes a 4G module for computing and 4G network communication, a power management module for providing power support, a solar panel for charging the power management module, a power adapter and a cigarette lighter interface, an audible and visual alarm module for taking corresponding actions when parameters exceed thresholds, and an antenna for enhancing 4G signal reception and transmission capabilities, etc.; temperature, combustible gas, and smoke sensors collect in-vehicle environmental data in real time and transmit it to the main controller. The main controller analyzes and determines whether a danger threshold has been reached. Once an anomaly is detected, an early warning mechanism is immediately triggered, sending early warning information to the mobile APP and PC-based host computer through the cloud platform, controlling the audible and visual alarm module to issue an alarm and notifying the vehicle owner by phone, thereby realizing vehicle spontaneous combustion early warning.

[0005] Furthermore, the main controller includes a circuit board on which the main controller is developed using a 4G module OPENCPU solution to realize computation and low-to-medium speed 4G network communication transmission; the circuit board includes a power management module for powering the main controller; the circuit board includes an antenna connected to the 4G module for enhancing data transmission; the circuit board includes an audible and visual alarm module for issuing prompts; the circuit board includes a solar panel, a power adapter, and a cigarette lighter interface for charging the power management module; the circuit board includes an overload protection device port for emergency handling of controlled devices in case of abnormalities; and the circuit board includes sensor connection ports for temperature acquisition, smoke concentration acquisition, and combustible gas concentration acquisition.

[0006] Furthermore, the temperature sensor, smoke sensor, and combustible gas sensor are connected to the main controller: A temperature sensor connected to the main controller collects the temperature of the environment near the controlled equipment; The smoke sensor connected to the main controller collects the smoke concentration in the environment near the controlled equipment; A combustible gas sensor connected to the main controller collects the concentration of combustible gas in the environment near the controlled equipment; The main controller can automatically activate alarm prompts and notify the vehicle owner based on temperature changes. For example, when charging at a new energy vehicle charging station, if the temperature, smoke concentration, or combustible gas concentration exceeds a certain threshold, the alarm will be activated to achieve spontaneous combustion warning.

[0007] The main controller can automatically activate the alarm and notify the vehicle owner based on changes in smoke concentration. For example, if the smoke concentration exceeds the threshold while the owner is charging their own new energy vehicle, the alarm will be activated to provide a self-ignition warning.

[0008] The main controller can automatically activate alarm prompts and notify the vehicle owner based on changes in combustible gas. For example, when charging a new energy vehicle at home, if the concentration of combustible gas exceeds the threshold, an alarm prompt will be activated to achieve a self-ignition warning.

[0009] Furthermore, the cloud platform enables remote real-time monitoring via mobile app, PC host computer, and IoT.

[0010] Furthermore, the mobile app and PC host computer send control commands to the cloud platform to remotely control IoT indicator lights; the mobile app and PC host computer receive device operating status data from the cloud platform to monitor the operating status of the controlled devices.

[0011] Furthermore, the antenna module connected to the main controller enhances the parameter transmission between the 4G module and the cloud platform, and the operating status of the controlled device is transmitted to the mobile APP and the PC host computer through the cloud platform.

[0012] The present invention has the following advantages: the main controller is developed using the 4G module OPENCPU solution to realize computing and medium-low speed 4G network transmission, saving one CPU compared with the traditional development solution; the hardware design is simple, highly integrated, and highly intelligent; it saves costs and is smaller in size.

[0013] It enables remote control and near-field control, as well as equipment operation monitoring and power metering.

[0014] It features short-circuit and overload protection.

[0015] It requires minimal modification to the wiring of the controlled equipment, making it easy to design and install in the distribution box. Attached Figure Description

[0016] Figure 1 This is a schematic diagram of the main controller structure of the present invention.

[0017] Figure 2 This is a schematic diagram of the overall system of the present invention. Detailed Implementation

[0018] Reference Figure 1 and Figure 2 This invention provides a specific embodiment: a new energy vehicle spontaneous combustion early warning system based on multi-sensor fusion, such as... Figure 2 As shown, it includes a main controller (15), a cloud platform (14), a mobile APP (13), a PC host computer (12), an antenna (16), an audible and visual alarm module (17), a sensor (18), a power management module (19), a cigarette lighter interface (20), a power adapter (21), and a solar panel (22).

[0019] The hardware structure of the main controller (15) is as follows: Figure 1 As shown, it includes a main controller board (1), a 4G module (2) for computing and low-to-medium speed 4G network transmission, a power management module connection port (3) for power supply, a cigarette lighter connection port (4) for charging the power management module, a power adapter (5), a solar panel (6), an audible and visual alarm module port (7) for alerting when device parameters are abnormal, an antenna connection port (8) for enhancing data transmission from the controlled device, a connection port (9) for combustible gas data acquisition, a connection port (10) for temperature data acquisition, and a connection port (11) for smoke concentration data acquisition.

[0020] Control and early warning process: The system can be controlled and early warning information can be obtained through mobile APP and PC host computer.

[0021] The mobile APP (13) and the PC host computer (12) send commands to the cloud platform (14). The cloud platform (14) transmits the received commands to the main controller (15). After receiving the commands, the main controller (15) parses the commands and performs corresponding operations, such as setting early warning parameters, to realize remote control of the system.

[0022] The sensor (18) includes a combustible gas sensor, a smoke concentration sensor, and a temperature sensor, which are respectively connected to the combustible gas data acquisition port (9), the smoke concentration data acquisition port (11), and the temperature data acquisition port (10). The sensor (18) collects combustible gas concentration, smoke concentration, and temperature data inside the new energy vehicle in real time and transmits the data to the main controller (15).

[0023] The main controller (15) analyzes and processes the data collected by the sensor (18). When the detected data exceeds the preset threshold, the main controller (15) determines that the new energy vehicle may have a risk of spontaneous combustion. At this time, the main controller (15) controls the sound and light alarm module (17) to issue a reminder signal, and at the same time sends a warning message to the mobile APP (13) and the PC host computer (12) through the cloud platform (14) to remind the user to take timely measures.

[0024] Data transmission and monitoring process: After receiving the data collected by the sensor (18), the main controller (15) transmits the data to the cloud platform (14) through the 4G module (2) and antenna (16). The cloud platform (14) stores and further analyzes the data. The mobile APP (13) and the PC host computer (12) can obtain real-time monitoring data from the cloud platform (14) to realize remote monitoring of the status of new energy vehicles.

[0025] System protection: The main controller (15) acquires combustible gas concentration, smoke concentration and temperature data. When the combustible gas concentration is higher than the preset high threshold (e.g., [X] ppm), the smoke concentration is higher than the preset high threshold (e.g., [X] mg / m³), or the temperature is higher than the preset high threshold (e.g., [X] degrees Celsius), the main controller (15) determines it to be an abnormal situation. In addition to controlling the sound and light alarm module (17) to remind and sending warning information to the mobile APP (13) and the PC host computer (12), the main controller (15) can also take corresponding protective measures according to preset strategies, such as cutting off the power supply of the power management module (19), to reduce the risk of spontaneous combustion.

[0026] Operating modes: Automatic mode and Manual mode.

[0027] Automatic mode: Set the main controller to automatic mode via mobile APP (13) or PC host computer (12) and set the sensor threshold. The system automatically analyzes and issues warnings based on the data collected by the sensors. For example, set the high threshold for combustible gas concentration to [X] ppm. When the concentration detected by the combustible gas sensor is higher than this threshold, the system automatically issues a warning; set the high threshold for temperature to [X] degrees Celsius. When the temperature detected by the temperature sensor is higher than this threshold, the system automatically performs the corresponding processing.

[0028] Manual mode: The main controller can be set to manual mode via the mobile APP (13) or the PC host computer (12). In manual mode, users can manually view the data collected by the sensor and decide whether to take measures based on their own judgment. Manual mode is the default mode.

[0029] Although embodiments of the present invention have been shown and described, it will be understood by those skilled in the art that several modifications and variations can be made without departing from the principles of the present invention, and these modifications and variations should also be considered within the scope of protection of the present invention.

Claims

1. This invention discloses a new energy vehicle spontaneous combustion early warning system based on multi-sensor fusion, which can effectively prevent spontaneous combustion accidents and improve vehicle safety. The system includes a main controller, sensors connected to the main controller, an audible and visual alarm module connected to the main controller, an antenna connected to the main controller, a power management module connected to the main controller, a cloud platform, a mobile APP, and a PC host computer. The main controller includes a 4G module for computing and 4G network communication, a power management module for providing power support, a solar panel for charging the power management module, a power adapter and a cigarette lighter interface, an audible and visual alarm module for taking corresponding actions when parameters exceed thresholds, and an antenna for enhancing 4G signal reception and transmission capabilities. Temperature, combustible gas, and smoke sensors collect in-vehicle environmental data in real time and transmit it to the main controller. The main controller analyzes and judges whether the danger threshold has been reached. Once an abnormality is detected, an early warning mechanism is immediately triggered, and early warning information is sent to the mobile APP and PC host computer through the cloud platform. The audible and visual alarm module is controlled to issue an alarm and notify the vehicle owner by phone, realizing vehicle spontaneous combustion early warning.

2. The new energy vehicle spontaneous combustion early warning system based on multi-sensor fusion according to claim 1, characterized in that: The main controller includes a circuit board on which the main controller is developed using a 4G module OPENCPU solution to realize computation and low-to-medium speed 4G network communication transmission. The circuit board includes a power management module for powering the main controller. The circuit board includes a solar panel, power adapter, and cigarette lighter interface for powering the power management module. The circuit board includes an audible and visual alarm module for alerting the vehicle owner when abnormal parameters occur. The circuit board includes an antenna connected to the 4G module for receiving transmitted information. The circuit board includes sensor connection ports for collecting temperature, combustible gas concentration, and smoke concentration.

3. The new energy vehicle spontaneous combustion early warning system based on multi-sensor fusion according to claim 1, characterized in that, The smoke sensor is either a high-sensitivity ionization smoke sensor or a photoelectric smoke sensor.

4. A new energy vehicle spontaneous combustion early warning system based on multi-sensor fusion according to claim 1, characterized in that, The gas sensor is used to detect combustible gases such as hydrogen and carbon monoxide that may be generated in the early stages of spontaneous combustion in new energy vehicles.

5. A new energy vehicle spontaneous combustion early warning system based on multi-sensor fusion according to claim 1, characterized in that, The control module includes a data acquisition unit, a data analysis unit, and a threshold comparison unit. The data acquisition unit is used to acquire data from temperature sensors, smoke sensors, and combustible gas sensors. The data analysis unit is used to process and analyze the acquired data. The threshold comparison unit is used to compare the analyzed data with preset temperature thresholds, smoke concentration thresholds, and gas concentration thresholds. When any data exceeds the corresponding threshold, an alarm signal is triggered.

6. A new energy vehicle spontaneous combustion early warning system based on multi-sensor fusion according to claim 1, characterized in that, The power management module includes a rechargeable battery and a charging management circuit. The charging management circuit is used to manage the charging of the rechargeable battery to ensure the battery's safe and stable power supply.

7. A new energy vehicle spontaneous combustion early warning system based on multi-sensor fusion according to claim 1, characterized in that, The wireless communication module is connected to the control module and is used to send alarm information to the vehicle owner's mobile phone or the remote monitoring platform of the new energy vehicle.

8. A new energy vehicle spontaneous combustion early warning system based on multi-sensor fusion according to claim 1, characterized in that, The warning alarm is also equipped with a self-test function. The control module periodically performs self-tests on the temperature sensor, smoke sensor, gas sensor, indicator module, and power module. When a fault is detected in a component, a fault alarm signal is issued through the audible and visual alarm module.

9. A new energy vehicle spontaneous combustion early warning system based on multi-sensor fusion according to claim 1, characterized in that: The mobile app and PC host computer send control commands to the cloud platform to achieve remote instruction and control of the Internet of Things; the mobile app and PC host computer receive device operation status data from the cloud platform to achieve operation status monitoring of the controlled device.

10. A new energy vehicle spontaneous combustion early warning system based on multi-sensor fusion according to claim 1, characterized in that: The antenna module can enhance data transmission between the device and the cloud platform, enabling the detection of the operating status of the controlled device and the analysis of device data.

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