Cloud embedded gas detection system based on sensor array

Abstract

The utility model belongs to the technical field of gas detection, and particularly discloses a cloud embedded gas detection system based on a sensor array, which comprises a plurality of sensor node systems, a cloud server and a terminal system, the sensor node system comprises a gas sensor array, a signal acquisition module, a microcontroller unit MCU and a wireless communication module; the output end of the gas sensor array is electrically connected with the input end of the signal acquisition module, and the output end of the signal acquisition module is electrically connected with the input end of the MCU; the MCU is in communication connection with the cloud server through the wireless communication module; the terminal system is connected with the cloud server through a network. Through multi-node wireless networking and cloud cooperative processing, remote monitoring is supported, the flexibility and expandability of the system can be improved, and the maintenance cost and deployment difficulty can be reduced.

Description

Technical Field

[0001] This application belongs to the field of gas detection technology, and more specifically, relates to a cloud-embedded gas detection system based on a sensor array. Background Technology

[0002] With the rapid development of industrial automation and intelligence, gas detection systems based on sensor arrays have been widely used in fields such as industrial safety monitoring and environmental monitoring.

[0003] In existing technologies, sensor array gas detection systems mainly suffer from the following problems: First, most systems use wired connections for their sensor arrays, which not only increases the system's size and power consumption but also presents difficulties in wiring, high costs, and is prone to crosstalk and misalignment between multiple signals. Second, the systems generally use local embedded processors for data analysis. However, due to limitations in the performance and storage capacity of embedded processors, when specific data processing tasks require high computing power or involve large amounts of data, the embedded processors struggle to execute these specific data processing tasks. Utility Model Content

[0004] To address the shortcomings of existing technologies, the purpose of this application is to provide a cloud-based embedded detection system based on a sensor array. This system features multi-node wireless networking, cloud-based collaborative processing, and supports remote monitoring, thereby improving system flexibility and scalability, reducing maintenance costs and deployment difficulty. It aims to solve the problems of traditional sensor array systems, which mostly use wired connections, resulting in difficulties in wiring, high node costs, and difficulties in expanding nodes in industrial environments.

[0005] To achieve the above objectives, this application provides a cloud-embedded gas detection system based on a sensor array, including multiple sensor node systems, a cloud server, and a terminal system;

[0006] The sensor node system includes a gas sensor array, a signal acquisition module, a microcontroller unit (MCU), and a wireless communication module.

[0007] The output of the gas sensor array is electrically connected to the input of the signal acquisition module, and the output of the signal acquisition module is electrically connected to the input of the MCU.

[0008] The MCU communicates with the cloud server via a wireless communication module;

[0009] The terminal system connects to the cloud server via the network.

[0010] In one possible implementation, the gas sensor array includes at least two gas sensors, each of which is electrically connected to the input of the signal acquisition module.

[0011] In one possible implementation, the wireless communication module is specifically a Zigbee communication module, which communicates with the cloud server through a Zigbee gateway.

[0012] In one possible implementation, the Zigbee communication module includes a Zigbee RF transceiver and an onboard loop antenna, the onboard loop antenna being electrically connected to the Zigbee RF transceiver.

[0013] In one possible implementation, the signal acquisition module includes: a differential amplifier circuit and an analog-to-digital converter;

[0014] The differential amplifier circuit includes multiple differential amplifier units. The input terminal of each differential amplifier unit is connected to the corresponding gas sensor in the gas sensor array, and the output terminal of each differential amplifier unit is connected to the analog input terminal of the analog-to-digital converter through a filter network.

[0015] The digital output of the analog-to-digital converter is connected to the MCU.

[0016] In one possible implementation, the MCU has a built-in dynamic frequency adjustment unit, including: a timer module, an interrupt controller, and a clock switching circuit;

[0017] The interrupt controller is electrically connected to the interrupt signal output terminal of the wireless communication module. When the wireless communication module generates a data transmission / reception interrupt signal, it triggers the timer module to start high-frequency period counting.

[0018] The timer module is configured with a preset transmit and receive duration threshold, and generates a sleep trigger signal after the timer reaches the threshold;

[0019] The clock switching circuit receives an interrupt signal or a sleep trigger signal. When an interrupt signal is received, the MCU main frequency is switched to a high-frequency mode in response to the interrupt signal. When a sleep trigger signal is received, the MCU main frequency is switched to a low-frequency mode in response to the sleep trigger signal.

[0020] In one possible implementation, the gas sensor array employs standardized mechanical and electrical interfaces, supporting plug-and-play access to gas sensors.

[0021] In one possible implementation, the sensor node system includes a power system; the power system includes a lithium battery pack, a power management chip, and a voltage monitoring unit.

[0022] The output terminal of the lithium battery pack is electrically connected to the input terminal of the power management chip, and the output terminal of the power management chip supplies power to each module after passing through a filter circuit.

[0023] The voltage monitoring unit communicates with the power monitoring pin of the MCU.

[0024] In one possible implementation, the sensor node system also includes an interaction system; the interaction system includes a touch-screen LCD, an audible and visual alarm, and physical buttons;

[0025] The touchscreen LCD is connected to the MCU via a data bus;

[0026] The audible and visual alarm is connected to the MCU's general-purpose input / output (GPIO) pins;

[0027] The physical buttons are connected to the external interrupt pin of the MCU via an interrupt triggering method.

[0028] In one possible implementation, the terminal system communicates with the sensor node system via a cloud server.

[0029] Overall, the technical solutions conceived in this application have the following beneficial effects compared with the prior art:

[0030] (1) This system realizes multi-node wireless networking, solving the cabling problem of traditional wired systems. Through cloud-based collaborative processing, it supports remote monitoring and intelligent early warning. This design not only improves the system's flexibility and scalability, but also reduces maintenance costs and deployment difficulty.

[0031] (2) Compared with embedded processors, cloud server processors have higher processing performance and storage capacity. When a specific data processing task has high computing power requirements or a large amount of data, the cloud server processor can execute such specific data processing tasks, thereby effectively improving data analysis capabilities. Attached Figure Description

[0032] Figure 1 This is a schematic diagram of the structure of a cloud-embedded gas detection system based on a sensor array provided in an embodiment of this application. Detailed Implementation

[0033] To make the objectives, technical solutions, and advantages of this application clearer, the following detailed description is provided in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative and not intended to limit the scope of this application.

[0034] In the embodiments of this application, the terms "exemplary" or "for example" are used to indicate that something is an example, illustration, or description. Any embodiment or design that is described as "exemplary" or "for example" in the embodiments of this application should not be construed as being more preferred or advantageous than other embodiments or design. Specifically, the use of the terms "exemplary" or "for example" is intended to present the relevant concepts in a specific manner.

[0035] In the description of the embodiments of this application, unless otherwise stated, "multiple" means two or more, for example, multiple processing units means two or more processing units, multiple elements means two or more elements, etc.

[0036] The embodiments of this application are described below with reference to the accompanying drawings.

[0037] Figure 1 This is a schematic diagram of the cloud-embedded gas detection system based on a sensor array provided in an embodiment of this application, as shown below. Figure 1 As shown, the system includes multiple sensor node systems, a cloud server, and a terminal system;

[0038] The sensor node system includes a gas sensor array, a signal acquisition module, a microcontroller unit (MCU), and a wireless communication module.

[0039] The output of the gas sensor array is electrically connected to the input of the signal acquisition module, and the output of the signal acquisition module is electrically connected to the input of the MCU.

[0040] The MCU communicates with the cloud server via a wireless communication module;

[0041] The terminal system connects to the cloud server via the network.

[0042] Specifically, the workflow of a gas detection system begins with the deployment of sensor nodes. Each sensor node contains a gas sensor array equipped with multiple gas sensors that can collect real-time gas concentration data from the surrounding environment. The acquired analog signals are then sent to a signal acquisition module, which is responsible for converting these analog signals into digital signals for subsequent processing and analysis. The digitized signals are then sent to a low-power microcontroller unit (MCU), which aggregates and performs preliminary processing on the data.

[0043] The processed data is uploaded to a cloud server via a wireless communication module. The cloud server is responsible for receiving, storing, and analyzing data from various sensor nodes, and providing the necessary computing resources to support complex data processing tasks. Terminal systems, such as users' computers or mobile devices, can access the cloud server via the internet to view and analyze gas concentration data in real time.

[0044] Understandably, this system achieves multi-node wireless networking, solving the cabling problems inherent in traditional wired systems. Through cloud-based collaborative processing, it supports remote monitoring and intelligent early warning. This design not only improves the system's flexibility and scalability but also reduces maintenance costs and deployment complexity.

[0045] Furthermore, compared to embedded processors, cloud server processors have higher processing performance and storage capacity. When a specific data processing task requires high computing power or has a large amount of data, the cloud server processor can execute such specific data processing tasks, effectively improving data analysis capabilities.

[0046] In one possible implementation, the gas sensor array includes at least two gas sensors, each of which is electrically connected to the input of the signal acquisition module.

[0047] Specifically, to improve the accuracy and reliability of detection, the gas detection system employs a design that integrates multiple gas sensors in parallel with the signal acquisition channel. Each sensor is optimized for a specific gas type, and when multiple sensors operate simultaneously, they complement each other to provide more comprehensive gas concentration information.

[0048] For example, the gas sensor array is configured with four gas sensors, employing The layout includes four gas sensors: a methane concentration sensor, a hydrogen concentration sensor, an ethanol concentration sensor, and a CO concentration sensor.

[0049] Therefore, this design enhances cross-detection capabilities at the array level and reduces the false alarm rate that might occur with a single sensor through the complementary effects of multiple sensors. Furthermore, the system improves scalability, allowing users to add or replace sensors as needed to adapt to different gas detection requirements.

[0050] In one possible implementation, the wireless communication module is specifically a Zigbee communication module, which communicates with the cloud server through a Zigbee gateway.

[0051] Specifically, the gas detection system uses the Zigbee protocol to achieve wireless transmission between sensor nodes and the cloud. Zigbee is a low-data-rate, low-power wireless communication protocol suitable for sensor networks.

[0052] This section explains the Zigbee gateway. As a bridge between the Zigbee communication module and the cloud server, the Zigbee gateway is responsible for uploading data collected by the Zigbee module to the cloud server and simultaneously sending instructions from the cloud server to the Zigbee module. The Zigbee gateway manages nodes in the Zigbee network, including node joining and leaving the network, and routing communication between nodes. The Zigbee gateway converts the Zigbee protocol into other communication protocols (such as WiFi, Ethernet, 5G, etc.) to facilitate communication with the cloud server.

[0053] For example, the gas sensor array detects signals and transmits them back to a low-power MCU. The MCU then interacts with the cloud using the Zigbee protocol, uploading sensor data to the cloud in real time for remote monitoring. Simultaneously, a corresponding program is developed to process, display, analyze, and store the data. Finally, the required information is uploaded to a mobile app for convenient viewing or operation via a computer.

[0054] Therefore, compared to traditional WiFi and Bluetooth technologies, the Zigbee protocol significantly reduces communication power consumption. This allows sensor nodes to operate for extended periods on battery power, supporting large-scale node networking. Furthermore, the Zigbee protocol is suitable for wide-area industrial deployments and can meet communication needs in complex environments.

[0055] In one possible implementation, the Zigbee communication module includes a Zigbee RF transceiver and an onboard loop antenna, the onboard loop antenna being electrically connected to the Zigbee RF transceiver.

[0056] Specifically, to optimize wireless transmission performance, the gas detection system employs an onboard loop antenna design. This antenna is connected to the RF transceiver via a microstrip line and is specifically optimized for signal radiation efficiency in the 2.4 GHz band.

[0057] Therefore, the reduction in antenna size, which adapts to compact node designs, helps to reduce the overall size and weight of the system.

[0058] In one possible implementation, the signal acquisition module includes: a differential amplifier circuit and an analog-to-digital converter;

[0059] The differential amplifier circuit includes multiple differential amplifier units. The input terminal of each differential amplifier unit is connected to the corresponding gas sensor in the gas sensor array, and the output terminal of each differential amplifier unit is connected to the analog input terminal of the analog-to-digital converter through a filter network.

[0060] The digital output of the analog-to-digital converter is connected to the MCU.

[0061] Specifically, the gas detection system uses a differential amplifier and a filtering network (such as an RC filter) to process the weak signal output by the sensor. The differential amplifier effectively suppresses common-mode interference, while the filtering network is used to eliminate (high-frequency) noise. The processed signal is then fed into an analog-to-digital converter (ADC) to further improve the signal resolution.

[0062] Understandably, this design is optimized for weak mV-level signals output by the sensor, effectively improving the signal-to-noise ratio. By reducing crosstalk between multiple channels, the system can provide more accurate gas concentration data.

[0063] In one possible implementation, the MCU has a built-in dynamic frequency adjustment unit, including: a timer module, an interrupt controller, and a clock switching circuit;

[0064] The interrupt controller is electrically connected to the interrupt signal output terminal of the wireless communication module. When the wireless communication module generates a data transmission / reception interrupt signal, it triggers the timer module to start high-frequency period counting.

[0065] The timer module is configured with a preset transmit and receive duration threshold, and generates a sleep trigger signal after the timer reaches the threshold;

[0066] The clock switching circuit receives an interrupt signal or a sleep trigger signal. When an interrupt signal is received, the MCU main frequency is switched to a high-frequency mode in response to the interrupt signal. When a sleep trigger signal is received, the MCU main frequency is switched to a low-frequency mode in response to the sleep trigger signal.

[0067] Specifically, to reduce system power consumption, the gas detection system employs dynamic frequency adjustment technology. The low-power MCU integrates a timer module, an interrupt controller, and a clock switching circuit. When the wireless communication module generates a data transmission / reception interrupt signal, the interrupt controller triggers the timer module to start high-frequency period counting.

[0068] Therefore, during data transmission, the MCU's main frequency is switched to a high-frequency mode (e.g., 48MHz) to provide sufficient processing power. Once the data transmission is complete, the timer module generates a sleep trigger signal after reaching a preset transmit / receive duration threshold. The clock switching circuit responds to this signal by switching the MCU's main frequency to a low-frequency mode (e.g., 32kHz). During the switching process, the real-time clock reference source remains continuously operational, serving as the MCU's clock source. This dynamic adjustment mechanism significantly reduces the MCU's overall power consumption.

[0069] In one possible implementation, the gas sensor array employs standardized mechanical and electrical interfaces, supporting plug-and-play access to gas sensors.

[0070] Specifically, the gas sensor array of the gas detection system adopts a standardized mechanical and electrical interface design, which allows users to connect different types of gas sensors in a plug-and-play manner.

[0071] Therefore, this design significantly reduces maintenance response time and allows non-professionals to replace sensors on-site. By reducing system operation and maintenance costs, it improves system maintainability and availability.

[0072] In one possible implementation, the sensor node system includes a power system; the power system includes a lithium battery pack, a power management chip, and a voltage monitoring unit.

[0073] The output terminal of the lithium battery pack is electrically connected to the input terminal of the power management chip, and the output terminal of the power management chip supplies power to each module after passing through a filter circuit.

[0074] The voltage monitoring unit communicates with the power monitoring pin of the MCU.

[0075] Specifically, the gas detection system uses a lithium battery pack as its main power source. The output of the lithium battery pack is processed by a filtering circuit (such as a π-type filter circuit) and a power management chip before supplying power to each module. The voltage monitoring unit monitors the remaining power of the lithium battery pack in real time and feeds it back to the low-power MCU.

[0076] For example, the voltage monitoring unit includes a voltage divider resistor network and an analog-to-digital converter (ADC). The input of the voltage divider resistor network is connected to the output of the lithium battery pack, and the output of the voltage divider resistor network is connected to the analog input of the ADC. The digital output of the ADC is communicatively connected to the power monitoring pin of the MCU. The main function of the voltage divider resistor network is to reduce the high voltage signal to a safe range according to a certain ratio. This range is typically suitable for the analog input voltage range of the ADC.

[0077] Therefore, this design ensures the stability of the power supply voltage and can issue timely warnings when the battery power is too low. By extending battery life, it reduces system maintenance costs.

[0078] In one possible implementation, the sensor node system also includes an interaction system; the interaction system includes a touch-screen LCD, an audible and visual alarm, and physical buttons;

[0079] The touchscreen LCD is connected to the MCU via a data bus;

[0080] The audible and visual alarm is connected to the MCU's general-purpose input / output (GPIO) pins;

[0081] The physical buttons are connected to the external interrupt pin of the MCU via an interrupt triggering method.

[0082] Specifically, the gas detection system is equipped with an interactive system, including a touchscreen LCD, an audible and visual alarm, and physical buttons. The touchscreen LCD displays real-time gas concentration data and system status information, allowing users to set and control the system via touch. The audible and visual alarm provides both sound and light alerts. The physical buttons support local control, facilitating rapid intervention in emergencies.

[0083] Therefore, this design enables human-computer interaction, with a short response time, allowing on-site personnel to quickly confirm the alarm status and intervene. By providing an intuitive user interface and convenient operation, the system's usability and reliability are improved.

[0084] In one possible implementation, the terminal system communicates with the sensor node system via a cloud server.

[0085] Specifically, the gas detection system supports remote control. The terminal system sends commands to the sensor node system via a cloud server. After the node MCU parses these commands, it synchronously updates the display content of the interactive system or triggers the audible and visual alarm.

[0086] Therefore, this design achieves low latency for remote control, meeting the centralized management needs in industrial scenarios. By reducing the frequency of manual inspections, it improves the system's automation level and management efficiency.

[0087] The following example illustrates the cloud-embedded gas detection system based on a sensor array provided in this application.

[0088] like Figure 1 As shown, the detection system consists of multiple sensor node systems, a cloud server, and a terminal system. Each sensor node can effectively collect information about the surrounding environment based on a sensor array. The collected raw information is processed by a signal acquisition system, which then transmits the raw voltage data to a low-power MCU. The MCU transmits the data to the cloud via the Zigbee protocol. The terminal system can access the cloud to obtain and process the data, including functions such as displaying data curves, saving data, and issuing warnings (e.g., issuing warnings if changes exceed thresholds or if the currently collected quantity is outside a preset range). Simultaneously, the terminal system can perform corresponding operations on the interactive system of the node components.

[0089] It is understood that the sensor array detection system according to this application has the advantages of low power consumption, high performance, and low cost. Users can remotely view the updates of sensor signal data and perform data analysis (such as analyzing data based on existing neural networks such as multilayer perceptrons) on their mobile phones or computers, thereby realizing multiple functions such as early warning and monitoring. Because it adopts a wireless connection method, it solves the defects of traditional sensor array systems such as difficult wiring and high cost, and the sensor nodes have low power consumption and the power supply is rechargeable.

[0090] It should be understood that expressions such as “comprising” and “may include” used in this application indicate the existence of the disclosed functions, operations, or constituent elements, and do not limit one or more additional functions, operations, and constituent elements. In this application, terms such as “comprising” and / or “having” are to be interpreted as indicating a particular characteristic, number, operation, constituent element, component, or combination thereof, but not to exclude the existence or possibility of adding one or more other characteristics, numbers, operations, constituent elements, components, or combinations thereof.

[0091] The above description is merely a specific embodiment of this application, but the scope of protection of this application is not limited thereto. Any variations or substitutions that can be easily conceived by those skilled in the art within the scope of the technology disclosed in this application should be included within the scope of protection of this application. Therefore, the scope of protection of this application should be determined by the scope of the claims.

Claims

1. A cloud-embedded gas detection system based on a sensor array, characterized in that, This includes multiple sensor node systems, cloud servers, and terminal systems; The sensor node system includes a gas sensor array, a signal acquisition module, a microcontroller unit (MCU), and a wireless communication module. The output of the gas sensor array is electrically connected to the input of the signal acquisition module, and the output of the signal acquisition module is electrically connected to the input of the MCU. The MCU communicates with the cloud server via a wireless communication module; The terminal system connects to the cloud server via a network; The signal acquisition module includes: a differential amplifier circuit and an analog-to-digital converter; The differential amplifier circuit includes multiple differential amplifier units. The input terminal of each differential amplifier unit is connected to the corresponding gas sensor in the gas sensor array, and the output terminal of each differential amplifier unit is connected to the analog input terminal of the analog-to-digital converter through a filter network. The digital output of the analog-to-digital converter is connected to the MCU; The MCU has a built-in dynamic frequency adjustment unit, including: a timer module, an interrupt controller, and a clock switching circuit; The interrupt controller is electrically connected to the interrupt signal output terminal of the wireless communication module. When the wireless communication module generates a data transmission / reception interrupt signal, it triggers the timer module to start high-frequency period counting. The timer module is configured with a preset transmit and receive duration threshold, and generates a sleep trigger signal after the timer reaches the threshold; The clock switching circuit receives an interrupt signal or a sleep trigger signal. When an interrupt signal is received, the MCU main frequency is switched to a high-frequency mode in response to the interrupt signal. When a sleep trigger signal is received, the MCU main frequency is switched to a low-frequency mode in response to the sleep trigger signal.

2. The cloud-embedded gas detection system based on a sensor array according to claim 1, characterized in that, The gas sensor array contains at least two gas sensors, each of which is electrically connected to the input of the signal acquisition module.

3. The cloud-embedded gas detection system based on a sensor array according to claim 1, characterized in that, The wireless communication module is specifically a Zigbee communication module, which communicates with the cloud server through a Zigbee gateway.

4. The cloud-embedded gas detection system based on a sensor array according to claim 3, characterized in that, The Zigbee communication module includes a Zigbee RF transceiver and an onboard loop antenna, which is electrically connected to the Zigbee RF transceiver.

5. The cloud-embedded gas detection system based on a sensor array according to claim 1, characterized in that, The gas sensor array uses standardized mechanical and electrical interfaces, supporting plug-and-play connection to gas sensors.

6. The cloud-embedded gas detection system based on a sensor array according to claim 1, characterized in that, The sensor node system includes a power system; the power system includes a lithium battery pack, a power management chip, and a voltage monitoring unit. The output terminal of the lithium battery pack is electrically connected to the input terminal of the power management chip, and the output terminal of the power management chip supplies power to each module after passing through a filter circuit. The voltage monitoring unit communicates with the power monitoring pin of the MCU.

7. The cloud-embedded gas detection system based on a sensor array according to claim 1, characterized in that, The sensor node system also includes an interaction system; the interaction system includes a touch screen LCD, an audible and visual alarm, and physical buttons; The touchscreen LCD is connected to the MCU via a data bus; The audible and visual alarm is connected to the MCU's general-purpose input / output (GPIO) pins; The physical buttons are connected to the external interrupt pin of the MCU via an interrupt triggering method.

8. The cloud-embedded gas detection system based on a sensor array according to claim 1, characterized in that, The terminal system communicates with the sensor node system through a cloud server.

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