Harmful gas leakage thermal imager based on Android system

Abstract

The invention discloses a harmful gas leakage thermal imager based on an Android system, which comprises a second-class superlattice infrared detector, a processor, an environment sensor and an Android mainboard, and is characterized in that the environment sensor is connected with the processor and provides temperature, humidity and air pressure information for the processor, and the second-class superlattice infrared detector is connected with the processor; the second-class superlattice infrared detector absorbs infrared rays generated by an observation background to form an analog signal, the processor corrects the analog signal according to temperature, humidity and air pressure information provided by the environment sensor, and the processor generates an infrared image according to the corrected analog signal. The method is developed based on the Android system, utilizes a rich algorithm library of the Android system, and is combined with a machine learning algorithm, so that harmful gas leakage can be quickly identified, the type can be preliminarily judged, and the detection accuracy is improved.

Description

Technical Field

[0001] The present invention belongs to the technical field of thermal imagers, and particularly relates to a harmful gas leakage thermal imager based on the Android system. Background Art

[0002] Sources and hazards of VOCs: VOCs mainly include benzene, toluene, xylene, formaldehyde, etc. These compounds are volatile at normal temperature and have a great impact on human health. They may damage the liver, kidneys, brain and nervous system, and even cause cancer. VOCs mainly come from fuel combustion, transportation, building and decoration materials, etc.

[0003] Policies, regulations and governance measures: The environmental protection department conducts dynamic management of VOCs-related enterprises, records enterprise information and the operation of treatment facilities to ensure compliance with emission standards. Activated carbon adsorption is a commonly used treatment method, but it needs to be replaced and maintained regularly. The existing VOCs imagers on the market come with built-in software, which has a single function, poor imaging effect and low gas recognition rate (mostly using the technology of subtracting the front and back frames). Summary of the Invention

[0004] To solve the above technical problems, the technical solution adopted by the present invention is: A harmful gas leakage thermal imager based on the Android system, including a two-class superlattice infrared detector, a processor, an environmental sensor, and an Android main board. The environmental sensor is connected to the processor and provides temperature, humidity, and air pressure information to the processor. The two-class superlattice infrared detector is connected to the processor. The two-class superlattice infrared detector absorbs the infrared rays generated by the observed background to form an analog signal. The processor corrects the analog signal according to the temperature, humidity, and air pressure information provided by the environmental sensor. The processor generates an infrared image from the corrected analog signal;

[0005] The Android main board includes an Android software system. The Android software system is provided with a harmful gas detection application module, an image recognition module, a processing algorithm library, a harmful gas thermal imaging feature model, a data storage and management module, and a network communication module;

[0006] The image recognition module is used to analyze the infrared image and compare it with the harmful gas thermal imaging feature model to quickly identify whether there is a harmful gas leakage in the infrared image and preliminarily judge the type of the leaked gas.

[0007] As a preference of the above technical solution, the environmental sensor includes a temperature and humidity sensor and an air pressure sensor.

[0008] As a preference of the above technical solution, it includes an auto-focus lens.

[0009] As a preference of the above technical solution, the network communication module includes a Wi-Fi module, a Bluetooth module, and a 4G / 5G module.

[0010] As an optimization of the above technical solution, an alarm module is provided in the Android system. A safety threshold is preset in the Android system. An audible and visual alarm is provided on the thermal imager, and the alarm module is connected to the audible and visual alarm.

[0011] The beneficial effects of the present invention are as follows:

[0012] 1. The present invention adopts a type-II superlattice infrared detector, which is sensitive to the characteristic absorption wavelengths of various harmful gases, can quickly respond to trace leaks, and can keenly capture minute leaks of various VOCs gases.

[0013] 2. The present invention is developed based on the Android system. By utilizing the rich algorithm library of the Android system and combining machine learning algorithms, it can quickly identify harmful gas leaks and preliminarily determine the types, improving the accuracy of detection.

[0014] 3. The processor can quickly convert the data collected by the detector into a thermal imaging image, and is well adapted to the Android system main board, ensuring the smoothness of data transmission and processing. At the same time, it supports data storage, management, and wireless transmission functions, facilitating users to query and analyze, and enabling managers to remotely and real-time master the situation of harmful gas leaks and make decisions in a timely manner.

[0015] 4. When the detected concentration of harmful gas leaks exceeds the preset safety threshold, the application will issue an alarm in various ways, and users can also customize the alarm threshold according to actual needs to meet the safety requirements in different scenarios. Specific embodiments

[0016] The technical solution of the present invention will be clearly and completely described below. Obviously, the described embodiments are part of the embodiments of the present invention, rather than all of them. All other embodiments obtained by those of ordinary skill in the art based on the embodiments of the present invention without creative efforts shall fall within the scope of protection of the present invention.

[0017] A thermal imager for harmful gas leaks based on the Android system includes a type-II superlattice infrared detector, a processor, an environmental sensor, and an Android main board. The environmental sensor is connected to the processor and provides temperature, humidity, and air pressure information to the processor. The type-II superlattice infrared detector is connected to the processor. The type-II superlattice infrared detector absorbs the infrared rays generated by the observed background to form an analog signal. The processor corrects the analog signal according to the temperature, humidity, and air pressure information provided by the environmental sensor, and the processor generates an infrared image from the corrected analog signal;

[0018] The Android main board includes an Android software system. The Android software system is provided with a harmful gas detection application module, an image recognition module, a processing algorithm library, a harmful gas thermal imaging feature model, a data storage and management module, and a network communication module;

[0019] The harmful gas detection application module serves as the core entry for user interaction, with a simple and intuitive interface design and convenient operation. Users can easily start detection tasks, view detection results, and set various parameters through this module. The image recognition module adopts deep learning algorithms and has a large amount of thermal imaging sample data of harmful gases built in. When receiving the infrared image generated by the processor, it can quickly extract and analyze the features of the image and conduct in-depth comparison with the thermal imaging feature model of harmful gases. This way of comparative analysis based on deep learning greatly improves the accuracy and speed of recognition, and can quickly identify whether there is a harmful gas leak in the infrared image within a very short time and preliminarily judge the type of the leaked gas. The processing algorithm library converges a variety of advanced image processing and data analysis algorithms. These algorithms are continuously optimized and upgraded to adapt to various complex detection environments and diverse detection requirements. The thermal imaging feature model of harmful gases is obtained through training and verification with a large amount of experimental data and has extremely high accuracy and generalization ability. The data storage and management module is responsible for the safe and efficient storage and management of a large amount of data generated during the detection process, facilitating users to query historical detection data at any time and providing strong support for subsequent data analysis and trend prediction.

[0020] Furthermore, the environmental sensor includes a temperature and humidity sensor and a barometric pressure sensor. The temperature and humidity sensor adopts high-precision capacitive induction technology and can accurately measure the environmental temperature and humidity in real time, with the error controlled within a very small range; the barometric pressure sensor uses the advanced piezoresistive principle to accurately sense the change of environmental barometric pressure. The temperature, humidity, and barometric pressure information provided by these sensors play a key role in the processor's correction of analog signals, ensuring the accuracy and reliability of the subsequent generated infrared image.

[0021] Furthermore, it includes an auto-focus lens. The lens adopts an intelligent focusing algorithm and can quickly and automatically adjust the focal length according to the distance of the target object and the environmental light conditions, ensuring that the captured infrared image is always clear and sharp, effectively avoiding detection errors caused by inaccurate focusing.

[0022] Furthermore, the network communication module includes a Wi-Fi module, a Bluetooth module, and a 4G / 5G module. The network communication module integrates a Wi-Fi module, a Bluetooth module, and a 4G / 5G module, providing the thermal imager with all-round communication capabilities. Through the Wi-Fi module, the thermal imager can quickly connect to the local network to achieve rapid data transmission and sharing; the Bluetooth module facilitates short-distance data interaction with surrounding mobile devices, such as real-time transmission of detection results to the user's mobile phone; the 4G / 5G module enables the thermal imager to have the ability of remote communication, and no matter when and where, it can upload detection data to the cloud server in time to achieve remote monitoring and management.

[0023] Furthermore, an alarm module is set in the Android system, and a safety threshold is preset in the Android system. An audible and visual alarm is provided on the thermal imager, and the alarm module is connected to the audible and visual alarm. Once the detected harmful gas concentration or related parameters exceed the preset threshold, the alarm module is immediately activated, triggering the audible and visual alarm on the thermal imager. The audible and visual alarm emits strong audible and visual signals, timely reminding the surrounding personnel to pay attention to safety, and at the same time sending the alarm information to relevant personnel through the network communication module to ensure that effective countermeasures can be taken in the first time.

[0024] It is worth mentioning that the technical features such as the two-color superlattice infrared detector, the processor, and the Android main board involved in this invention patent application should be regarded as prior art. The specific structures, working principles, and possible control methods and spatial arrangement methods of these technical features can be selected conventionally in this field and should not be regarded as the inventive points of this invention patent. This invention patent will not be further specifically elaborated.

[0025] The preferred specific embodiments of the present invention have been described in detail above. It should be understood that those of ordinary skill in the art can make many modifications and variations based on the concept of the present invention without creative labor. Therefore, all technical solutions that can be obtained by those skilled in the art in the technical field based on the concept of the present invention through logical analysis, reasoning, or limited experiments on the basis of the prior art should be within the protection scope determined by the claims.

Claims

1. A harmful gas leakage thermal imager based on the Android system, characterized in that, It includes two types of superlattice infrared detectors, a processor, an environmental sensor, and an Android mainboard. The environmental sensor is connected to the processor and provides temperature, humidity, and air pressure information to the processor. The two types of superlattice infrared detectors are connected to the processor. The two types of superlattice infrared detectors absorb the infrared rays generated by the observation background to form an analog signal. The processor corrects the analog signal according to the temperature, humidity, and air pressure information provided by the environmental sensor, and the processor generates an infrared image from the corrected analog signal; The Android mainboard includes an Android software system. In the Android software system, there are set a harmful gas detection application module, an image recognition module, a processing algorithm library, a harmful gas thermal imaging feature model, a data storage and management module, and a network communication module; The image recognition module is used to analyze the infrared image and compare it with the harmful gas thermal imaging feature model to quickly identify whether there is a harmful gas leak in the infrared image and preliminarily judge the type of the leaked gas.

2. The harmful gas leakage thermal imager based on the Android system according to claim 1, characterized in that, The environmental sensor includes a temperature and humidity sensor and an air pressure sensor.

3. The harmful gas leakage thermal imager based on the Android system according to claim 1, characterized in that, It includes an auto-focus lens.

4. The harmful gas leakage thermal imager based on the Android system according to claim 1, characterized in that, The network communication module includes a Wi-Fi module, a Bluetooth module, and a 4G / 5G module.

5. The harmful gas leakage thermal imager based on the Android system according to claim 1, characterized in that, An alarm module is set in the Android system. A safety threshold is preset in the Android system. There is an audible and visual alarm on the thermal imager. The alarm module is connected to the audible and visual alarm.