An intelligent gas sensing system for smart homes

Abstract

The present invention discloses an intelligent gas sensing system for smart housing, which is composed of a self-powered integrated nanostructure gas sensor (SINGOR) system and a wirelessly connected intelligent gas sensing system. The system includes a sensor array, a self-powered module, a wireless circuit, and a pattern recognition algorithm. The sensor array is connected to the self-powered module through a circuit module, and a wireless circuit is provided on the sensor array. The power transmission, measurement, and data acquisition of the sensor array are used to supply data to the integrated pattern recognition algorithm; the self-powered integrated nanostructure gas sensor (SINGOR) system is composed of a power module, a gas-sensitive module, a microcontroller-analog readout circuit, and a wireless data transmission module. The present invention is designed with ultra-low power consumption as a whole, which is energy-saving and environmentally friendly; ultra-high sensitivity, multiple intelligent gas sensing systems are connected by wireless to form an intelligent gas sensing network, and mixed gas is accurately identified and monitored; remote gas leakage is monitored in real time and dangerous warnings are provided.

Description

Technical Field

[0001] The present invention relates to the technical field of smart housing, and in particular to an intelligent gas sensing system for smart housing. Background Art

[0002] With the rapid development of the national economy and the continuous improvement of people's material living standards, people have put forward higher requirements for the comfort, high-end and intelligent indoor living environment, which has directly led to the rise of a craze for decoration and the modernization of indoor facilities. However, due to the uneven quality of residential building materials and decorative furniture materials, harmful chemical gases such as formaldehyde (CH2O), toluene (C7H8), and ammonia (NH3) have been released, causing the indoor air quality to deteriorate continuously, which will cause certain degree of damage to the health of residents in severe cases; the widespread use of air-conditioning equipment has significantly reduced the indoor ventilation rate, resulting in the continuous accumulation of air pollution in the residence.

[0003] Current methods and equipment for monitoring environmental pollutant gases include gas chromatography, non-dispersive infrared method and Nessler reagent colorimetry, etc. These methods are limited to monitoring a single or several pollutant gases. Single equipment has high cost and cannot be used for real-time on-site detection. These monitoring methods have poor versatility. Summary of the invention

[0004] The purpose of the present invention is to provide an intelligent gas sensing system for smart homes to solve the problems raised in the above background technology.

[0005] To achieve the above-mentioned object, the present invention provides the following technical solutions: an intelligent gas sensing system for smart housing, the system consisting of a self-powered integrated nanostructured gas sensor (SINGOR) system and a wirelessly connected intelligent gas sensing system, the system comprising a sensor array, a self-powered module, a wireless circuit and a pattern recognition algorithm, the sensor array being connected to the self-powered module via a circuit module, the sensor array being provided with a wireless circuit, the power delivery, measurement and data collection of the sensor array being used to supply data to the integrated pattern recognition algorithm;

[0006] The self-powered integrated nanostructured gas sensor (SINGOR) system consists of a power module, a gas sensing module, a microcontroller-analog readout circuit and a wireless data transmission module;

[0007] The sensor array is based on a gas sensor of three-dimensional structured nanomaterials, which can achieve gas sensing performance at room temperature with low energy consumption;

[0008] The self-powered module integrates a solar power module and a lithium battery power module, and the circuit module integrates a wireless communication module, which is connected to a mobile device through the wireless communication module to achieve a real-time environmental monitoring function;

[0009] The pattern recognition algorithm technology includes graphics, multivariate analysis and neural network technology, a pattern recognition algorithm for classifying input values, which is based on a training process with data regularity and is used for decoding complex gas sensor signals;

[0010] The sensor array includes a 4×4 sensor array that can differentially respond to four flammable and toxic gases, namely hydrogen (H2), formaldehyde (CH2O), toluene (C7H8) and acetone (C3H6O), in which each type of sensor module shows specific sensing behavior to the target gas, improving the ability of gas identification and classification. Four metals, namely gold (Au), copper (Cu), nickel (Ni) and silver (Ag), are patterned into 16 top electrodes on the manufactured three-dimensional Pd / SnO2 / AAO substrate, and the vertical array device structure is completed with a common grounded gold bottom electrode.

[0011] Preferably, the sensor array will utilize Pd-modified SnO2 nanomaterials, which have a high specific surface area and catalytic effect, so that the sensor array has ultra-high sensitivity to hydrogen, formaldehyde, toluene and acetone gases at room temperature. Among sensors of the same power level, the power consumption of this sensor is 2-3 orders of magnitude less than other commercial SnO2 material sensors.

[0012] Preferably, the pattern recognition algorithm identifies different types of gases based on the generated specific patterns, and classifies and quantifies them, first generates a database of different types of gases based on multivariate analysis technology, and then trains the system to distinguish and classify unknown complex gases.

[0013] Preferably, the pattern recognition algorithm analyzes the sensing signals through principal component analysis (PCA) and support vector machine (SVM) algorithms and visualizes them on the mobile application to display the gas types and concentration levels at different locations.

[0014] Preferably, the self-powered module is composed of a commercial 4cm×11cm monocrystalline solar panel and an 800mA·h rechargeable lithium-ion battery to provide a sustainable power source, the power management module of the sensor system will automatically disable the charging function in the absence of sufficient indoor light, and the lithium-ion battery will be used as a backup electrochemical energy source to support the normal operation of the SINGOR system in continuous sensing mode.

[0015] Preferably, the gas sensing module uses a SnO2 material decorated with palladium (Pd) having a highly sensitive 3D structure to construct a sensor array;

[0016] The power module includes solar cells and lithium batteries. The solar cells in the system can convert indoor light energy into electrical energy to maintain system operation. At the same time, the generated electrical energy can be stored in the integrated lithium-ion battery as a backup battery power source in dark conditions.

[0017] The microcontroller-analog readout circuit and the wireless data transmission module read and transmit the signals collected by the sensor array respectively.

[0018] Preferably, the circuit module is also provided with an alarm module, and the alarm module is provided with an audible and visual alarm.

[0019] Compared with the prior art, the present invention has the following beneficial effects:

[0020] 1. This intelligent gas sensing system for smart homes is a self-powered integrated nanostructured gas sensor (SINGOR) system and a wirelessly connected intelligent gas sensing system for four flammable and toxic gases: hydrogen (H2), formaldehyde (CH2O), toluene (C7H8) and acetone (C3H6O). It builds an ultra-low power wireless intelligent gas sensing network for smart homes. The overall design is ultra-low power consumption, energy-saving and environmentally friendly, and can realize remote gas leakage real-time monitoring and danger warning functions;

[0021] 2. This intelligent gas sensing system for smart homes can connect to mobile devices through the wireless communication module set on the circuit module to achieve real-time environmental monitoring function. It has ultra-high sensitivity. Multiple intelligent gas sensing systems are connected wirelessly to form an intelligent gas sensing network, which can realize accurate identification and monitoring of indoor mixed gases at room temperature. BRIEF DESCRIPTION OF THE DRAWINGS

[0022] Figure 1 It is a block diagram of the working principle of the intelligent gas sensing system of the present invention;

[0023] Figure 2 Block diagram of the working principle of the sensor array of the present invention. DETAILED DESCRIPTION

[0024] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0025] In the description of the present invention, it should be noted that the terms "upper", "lower", "inner", "outer", "front end", "rear end", "two ends", "one end", "the other end" and the like indicate positions or positional relationships based on the positions or positional relationships shown in the drawings, and are only for the convenience of describing the present invention and simplifying the description, and do not indicate or imply that the device or element referred to must have a specific orientation, be constructed and operated in a specific orientation, and therefore cannot be understood as limiting the present invention. In addition, the terms "first" and "second" are used for descriptive purposes only and cannot be understood as indicating or implying relative importance.

[0026] In the description of the present invention, it should be noted that, unless otherwise clearly specified and limited, the terms "installed", "provided with", "connected", etc. should be understood in a broad sense. For example, "connected" 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 a direct connection, or it can be indirectly connected through an intermediate medium, or it can be the internal communication of two components. For ordinary technicians in this field, the specific meanings of the above terms in the present invention can be understood according to specific circumstances.

[0027] Example

[0028] like Figure 1 to Figure 2 As shown, this embodiment is an intelligent gas sensing system for smart homes, which is composed of a self-powered integrated nanostructured gas sensor (SINGOR) system and a wirelessly connected intelligent gas sensing system. The system includes a sensor array, a self-powered module, a wireless circuit, and a pattern recognition algorithm. The sensor array is connected to the self-powered module through a circuit module, and a wireless circuit is provided on the sensor array. The power transmission, measurement, and data collection of the sensor array are used to supply data to the integrated pattern recognition algorithm.

[0029] The self-powered integrated nanostructured gas sensor (SINGOR) system consists of a power module, a gas sensing module, a microcontroller-analog readout circuit and a wireless data transmission module;

[0030] The sensor array is based on a gas sensor of three-dimensional structured nanomaterials, which can achieve gas sensing performance at room temperature with low energy consumption;

[0031] The self-powered module integrates a solar power module and a lithium battery power module, and the circuit module integrates a wireless communication module, which is connected to a mobile device through the wireless communication module to achieve a real-time environmental monitoring function;

[0032] The pattern recognition algorithm technology includes graphics, multivariate analysis and neural network technology, a pattern recognition algorithm for classifying input values, which is based on a training process with data regularity and is used for decoding complex gas sensor signals;

[0033] The sensor array includes a 4×4 sensor array that can differentially respond to four flammable and toxic gases, namely hydrogen (H2), formaldehyde (CH2O), toluene (C7H8) and acetone (C3H6O), in which each type of sensor module shows specific sensing behavior to the target gas, improving the ability of gas identification and classification. Four metals, namely gold (Au), copper (Cu), nickel (Ni) and silver (Ag), are patterned into 16 top electrodes on the manufactured three-dimensional Pd / SnO2 / AAO substrate, and the vertical array device structure is completed with a common grounded gold bottom electrode.

[0034] Furthermore, the sensor array will utilize Pd-modified SnO2 nanomaterials, which have a high specific surface area and catalytic effect, making the sensor array ultra-sensitive to hydrogen, formaldehyde, toluene and acetone gases at room temperature. Among sensors of the same power level, the power consumption of this sensor is 2-3 orders of magnitude less than other commercial SnO2 material sensors.

[0035] Furthermore, the pattern recognition algorithm identifies different types of gases based on the generated specific patterns, and classifies and quantifies them. Based on multivariate analysis technology, a database of different types of gases is first generated, and then the system is trained to distinguish and classify unknown complex gases.

[0036] Furthermore, the pattern recognition algorithm analyzes the sensing signals through principal component analysis (PCA) and support vector machine (SVM) algorithms and visualizes them on the mobile application to display the gas types and concentration levels at different locations.

[0037] Furthermore, the self-powered module is composed of a commercial 4cm×11cm monocrystalline solar panel and an 800mA·h rechargeable lithium-ion battery to provide a sustainable power source. The power management module of the sensor system will automatically disable the charging function in the absence of sufficient indoor light, and the lithium-ion battery will be used as a backup electrochemical energy source to support the normal operation of the SINGOR system in continuous sensing mode.

[0038] Furthermore, the gas sensing module uses a SnO2 material decorated with palladium (Pd) having a highly sensitive 3D structure to construct a sensor array;

[0039] The power module includes solar cells and lithium batteries. The solar cells in the system can convert indoor light energy into electrical energy to maintain system operation. At the same time, the generated electrical energy can be stored in the integrated lithium-ion battery as a backup battery power source in dark conditions.

[0040] The microcontroller-analog readout circuit and the wireless data transmission module read and transmit the signals collected by the sensor array respectively.

[0041] Furthermore, the circuit module is also provided with an alarm module, and the alarm module is provided with an audible and visual alarm, which can realize the functions of remote gas leakage real-time monitoring and danger warning.

[0042] The method of using this embodiment is as follows: a self-powered integrated nanostructured gas sensor (SINGOR) system is composed of a power module, a gas-sensitive module, a microcontroller-analog readout circuit and a wireless data transmission module. The gas-sensitive module uses a SnO2 material decorated with palladium (Pd) with a high sensitivity 3D structure to construct a sensor array; the power module includes a solar cell and a lithium battery. The solar cell in the system can convert indoor light energy into electrical energy to maintain the operation of the system. At the same time, the generated electrical energy can also be stored in an integrated lithium-ion battery as a backup battery power source under dark conditions; the microcontroller-analog readout circuit and the wireless data transmission module respectively read and transmit the signals collected by the sensor array. The sensor array, the self-powered module, the wireless circuit and the pattern recognition algorithm constitute an intelligent gas sensing system. The sensor array can respond differentially to four flammable and toxic gases, namely hydrogen (H2), formaldehyde (CH2O), toluene (C7H8) and acetone (C3H6O), wherein each type The sensor modules of the SINGOR system all show specific sensing behaviors for the target gas. The sensor array has ultra-high sensitivity to hydrogen, formaldehyde, toluene and acetone gases at room temperature, which improves the ability of gas identification and classification. The sensor array adopts a self-powered module using a commercial 4cm×11cm single crystal solar panel and an 800mA·h rechargeable lithium-ion battery to provide a sustainable power supply. The power management module of the sensor system will automatically disable the charging function when there is not enough indoor light, and the lithium-ion battery will be used as a backup electrochemical energy source to support the normal operation of the SINGOR system in continuous sensing mode, that is, the sensor array is powered by the self-powered module. The sensor array has ultra-high sensitivity monitoring for hydrogen, formaldehyde, toluene and acetone gases at room temperature. The monitoring data is connected to the mobile device through the wireless communication module integrated in the circuit module to realize real-time environmental monitoring function, and the sound and light alarm on the alarm module will be used for early warning response when the set value is reached.

[0043] Finally, it should be noted that the above is only a preferred embodiment of the present invention and is not intended to limit the present invention. Although the present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art can still modify the technical solutions described in the aforementioned embodiments or replace some of the technical features therein with equivalents. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present invention shall be included in the protection scope of the present invention.

Claims

1. An intelligent gas sensing system for smart housing, characterized in that: The system consists of a self-powered integrated nanostructured gas sensor (SINGOR) system and a wirelessly connected intelligent gas sensing system, the system includes a sensor array, a self-powered module, a wireless circuit, and a pattern recognition algorithm, the sensor array is connected to the self-powered module through a circuit module, the sensor array is provided with a wireless circuit, the power delivery, measurement and data acquisition of the sensor array are used to supply data to the integrated pattern recognition algorithm; The self-powered integrated nanostructured gas sensor (SINGOR) system consists of a power module, a gas sensing module, a microcontroller-analog readout circuit and a wireless data transmission module; The sensor array is based on a gas sensor of three-dimensional structured nanomaterials, which can achieve gas sensing performance at room temperature with low energy consumption; The self-powered module integrates a solar power module and a lithium battery power module, and the circuit module integrates a wireless communication module, which is connected to a mobile device through the wireless communication module to achieve a real-time environmental monitoring function; The pattern recognition algorithm technology includes graphics, multivariate analysis and neural network technology, a pattern recognition algorithm for classifying input values, which is based on a training process with data regularity and is used for decoding complex gas sensor signals; The sensor array includes a 4×4 sensor array that can respond differentially to four flammable and toxic gases, namely hydrogen (H2), formaldehyde (CH2O), toluene (C7H8) and acetone (C3H6O), in which each type of sensor module shows specific sensing behavior to the target gas, improving the ability of gas identification and classification. Four metals, namely gold (Au), copper (Cu), nickel (Ni) and silver (Ag), are patterned into 16 top electrodes on the manufactured three-dimensional Pd / SnO2 / AAO substrate, and the vertical array device structure is completed with a common grounded gold bottom electrode.

2. The intelligent gas sensing system for smart housing according to claim 1, characterized in that: The sensor array will utilize Pd-modified SnO2 nanomaterials, which have a high specific surface area and catalytic effect, making the sensor array ultra-sensitive to hydrogen, formaldehyde, toluene and acetone gases at room temperature. Among sensors of the same power level, the power consumption of this sensor is 2-3 orders of magnitude less than other commercial SnO2 material sensors.

3. The intelligent gas sensing system for smart housing according to claim 1, characterized in that: The pattern recognition algorithm identifies different types of gases based on the specific patterns generated, and classifies and quantifies them. Based on multivariate analysis technology, a database of different types of gases is first generated, and then the system is trained to distinguish and classify unknown complex gases.

4. The intelligent gas sensing system for smart housing according to claim 3, characterized in that: The pattern recognition algorithm analyzes the sensing signals through principal component analysis (PCA) and support vector machine (SVM) algorithms and visualizes them on the mobile application to show the gas types and concentration levels at different locations.

5. The intelligent gas sensing system for smart housing according to claim 1, characterized in that: The self-powered module is composed of a commercial 4cm×11cm monocrystalline solar panel and an 800mA·h rechargeable lithium-ion battery to provide a sustainable power source. The power management module of the sensor system will automatically disable the charging function in the absence of sufficient indoor light, and the lithium-ion battery will be used as a backup electrochemical energy source to support the normal operation of the SINGOR system in continuous sensing mode.

6. The intelligent gas sensing system for smart housing according to claim 1, characterized in that: The gas sensing module uses a SnO2 material decorated with palladium (Pd) having a highly sensitive 3D structure to construct a sensor array; The power module includes solar cells and lithium batteries. The solar cells in the system can convert indoor light energy into electrical energy to maintain system operation. At the same time, the generated electrical energy can be stored in the integrated lithium-ion battery as a backup battery power source in dark conditions. The microcontroller-analog readout circuit and the wireless data transmission module read and transmit the signals collected by the sensor array respectively.

7. The intelligent gas sensing system for smart housing according to claim 1, characterized in that: The circuit module is also provided with an alarm module, and the alarm module is provided with an audible and visual alarm.

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