An online early warning and detection device for septic tank gas

Abstract

This invention provides an online gas early warning and detection device for septic tanks, including a processor motherboard, sensors, I / O interfaces, and an alarm module electrically connected to the processor motherboard, and an ID card code recognition module electrically connected to the processor motherboard. The sensors include a catalytic combustion sensor, an electrochemical sensor, and at least two auxiliary sensors. The I / O interface includes a wireless communication module that can interact with the septic tank ID card code data acquisition and management system. This invention binds gas monitoring data to the unique identity of the septic tank through the ID card code recognition module. Combined with multi-dimensional sensor data and edge computing preprocessing, it achieves a precise association between "identity-data-location," significantly improving the scientific nature of septic tank management and emergency response speed. It can be widely used for online monitoring and safety early warning of various septic tanks in urban residential areas, commercial areas, etc.

Description

Technical Field

[0001] This utility model relates to the technical field of gas monitoring, and in particular to an online early warning and detection device for gas in septic tanks. Background Technology

[0002] In recent years, septic tank explosions have frequently occurred in large and medium-sized cities in my country. These explosions are mostly caused by excessively high concentrations of flammable gases (primarily methane) in the septic tanks. Since these explosions often occur in densely populated residential areas and farmers' markets, they pose a significant threat to people's lives and property, seriously affecting social stability and the safety of residents. A major reason for this is the outdated traditional manual monitoring and management methods, which lead to excessively high concentrations of flammable gases in septic tanks, thus triggering explosions. Urban sewers and septic tanks are the working environment for dredging workers, and the gas conditions there directly affect their safety. Due to a lack of relevant information monitoring, accidents resulting in accidental asphyxiation and poisoning deaths among workers are frequent.

[0003] In the prior art, CN201600344U discloses an online early warning detector for septic tank gases, including a processor motherboard, a sensor electrically connected to the processor motherboard and installed at the septic tank gas outlet, an I / O interface electrically connected to the processor motherboard, and an alarm module electrically connected to the processor motherboard. This device can collect and transmit data on the concentrations of combustible and toxic gases at each septic tank monitoring point in real time, but it still has certain shortcomings:

[0004] It cannot link monitoring data with the identity and location information of specific septic tanks, making it difficult for management departments to accurately grasp the situation of specific septic tanks. The efficiency in maintenance, supervision, and emergency response needs to be improved, and it is difficult to meet the current requirements for scientific, standardized, and efficient septic tank management.

[0005] With the advancement of urbanization, there is a need for a device that can combine gas monitoring with septic tank identification information to improve management efficiency and safety.

[0006] In view of this, the inventor has specifically designed an online early warning and detection device for septic tank gas, which leads to this invention. Utility Model Content

[0007] To solve the above problems, the technical solution of this utility model is as follows:

[0008] An online early warning and detection device for septic tank gas includes a processor motherboard, sensors, I / O interfaces, and an alarm module electrically connected to the processor motherboard, and also includes an ID card code recognition module electrically connected to the processor motherboard; the sensors include a catalytic combustion sensor, an electrochemical sensor, and at least two auxiliary sensors; the I / O interface includes a wireless communication module capable of data interaction with a septic tank ID card code data acquisition and management system.

[0009] Preferably, the ID card code recognition module is a dual-mode module integrating an image sensor with QR code recognition function and an RFID reader / writer. Through dual recognition using QR codes and RFID, the low cost and ease of reading of QR codes are utilized, while the high stability of RFID in humid and contaminated environments is complemented, ensuring reliable acquisition of septic tank identification information.

[0010] Preferably, it also includes an intelligent inspection platform that is remotely connected to a wireless communication module for cloud monitoring. As a cloud control center, the intelligent inspection platform can aggregate monitoring data from each septic tank, enabling global management and online early warning.

[0011] Preferably, the wireless communication module is an NB-IoT module, used to support bidirectional data transmission with the septic tank ID card recognition module and remote connection to the intelligent inspection platform. The NB-IoT module features low power consumption, wide coverage, and large connectivity, making it suitable for long-term stable communication in outdoor, dispersed scenarios such as septic tanks. It can achieve monitoring data uploading (e.g., regular uploading every 5 minutes, and real-time uploading in case of anomalies) and remote command reception (e.g., adjusting warning thresholds).

[0012] Preferably, the alarm module includes a sound alarm unit and a wireless alarm unit. The wireless alarm unit is used to send an alarm signal containing the septic tank's identification code, real-time location information, and abnormal parameters to the intelligent inspection platform via an I / O interface. The sound alarm unit can emit a buzzer at a level of 110dB or higher on-site to alert nearby personnel; the wireless alarm unit synchronizes the alarm information to the cloud to ensure that management can respond immediately.

[0013] Preferably, the processor motherboard includes an edge computing unit for local preprocessing of sensor data. The edge computing unit can perform functions such as data filtering (removing instantaneous interference signals), concentration change rate calculation (e.g., triggering an early warning if methane concentration rises by more than 20% within 10 minutes), and multi-parameter fusion analysis (combining temperature and humidity to correct gas concentration deviations), reducing the upload of invalid data and improving the accuracy of early warnings.

[0014] Preferably, the device also includes a protective housing made of corrosion-resistant ABS material with an IP68 protection rating. The housing surface has a pre-drilled window for ID card recognition and a sensor sampling port. The IP68 protection rating ensures that the device can withstand immersion in water at a depth of 2 meters for 30 minutes without affecting normal operation, adapting to the harsh, humid, and corrosive environment surrounding septic tanks.

[0015] Preferably, the ID card code recognition window is equipped with anti-fouling tempered glass, which not only ensures the penetration of QR code / RFID signals, but also prevents dust and liquid from contaminating the recognition area and extends the maintenance cycle.

[0016] Preferably, the sensor sampling port has a built-in dustproof and moisture-proof filter, which can filter particulate matter and water vapor in the air, prevent the sensor from being contaminated or becoming damp and thus ensure detection accuracy.

[0017] Preferably, the auxiliary sensor is selected from at least two of the following: a temperature and humidity sensor, a pressure sensor, and a liquid level sensor. The preferred components are a temperature and humidity sensor, a pressure sensor, and a liquid level sensor. The temperature and humidity sensor (measurement range -40~85℃, 0~100%RH) can be used to analyze the influence of the environment on gas concentration; the pressure sensor (0~10kPa range) can monitor the internal gas pressure of the septic tank to help determine whether there is a gas leak; and the liquid level sensor (0~3m range) can prevent sewage overflow and achieve multi-dimensional safety monitoring.

[0018] The working process of this utility model is as follows:

[0019] When this device is working, the ID card recognition module first reads the unique identification code (QR code or RFID) of the septic tank and transmits the identification information to the processor motherboard. The sensor group collects data simultaneously: the catalytic combustion sensor detects the concentration of combustible gases such as methane, the electrochemical sensor detects the concentration of toxic gases such as hydrogen sulfide, and the auxiliary sensor collects parameters such as temperature, humidity, pressure, and liquid level. The processor motherboard preprocesses the data through the edge computing unit, packages the "identity information + monitoring data", and transmits it to the septic tank ID card data collection and management system and the intelligent inspection platform through the NB-IoT module. When the monitoring data exceeds the preset threshold, the alarm module simultaneously activates the sound alarm and the wireless alarm. The wireless alarm signal contains the septic tank ID card (for rapid location), real-time location information (linked to the GIS system), and abnormal parameters (such as methane concentration of 80% LEL). After receiving the signal, the intelligent inspection platform triggers an online warning and pushes the information to the management personnel terminal (mobile phone / computer), realizing a closed-loop system of "monitoring-identification-warning-response".

[0020] Compared with the prior art, the present invention has the following beneficial effects:

[0021] 1. By using the ID card code recognition module, monitoring data such as gas concentration and pressure are bound to the unique identity of the septic tank, solving the problem of "data without ownership" in existing devices. Management departments can quickly query the historical data and real-time status of specific septic tanks through the intelligent inspection platform, improving management accuracy.

[0022] 2. Combining local sound alarms and cloud-based wireless alarms not only alerts on-site personnel but also ensures remote response from management departments, reducing alarm response time from the traditional hours to minutes; multi-sensor collaborative monitoring avoids the limitations of monitoring a single gas parameter, greatly improving the accuracy of early warnings.

[0023] 3. The IP68 protective shell, anti-fouling tempered glass, dustproof and moisture-proof filter design enable the device to operate stably in humid, corrosive and dusty septic tank environments, reducing maintenance costs.

[0024] 4. By connecting with the intelligent inspection platform through the NB-IoT module, it can realize functions such as data aggregation and analysis (such as identifying high-risk areas), remote parameter configuration (such as seasonal adjustment of temperature and humidity compensation coefficients), and historical data traceability (retaining records for more than 1 year), promoting the transformation of septic tank management from "passive response" to "proactive prevention". Attached Figure Description

[0025] The accompanying drawings, which are provided to further illustrate the present invention and constitute a part of the present invention, illustrate exemplary embodiments of the present invention and are used to explain the present invention, but do not constitute an undue limitation of the present invention.

[0026] in:

[0027] Figure 1 This is a structural block diagram of the present invention;

[0028] Figure 2 This is a structural block diagram of the ID card code recognition module in this utility model;

[0029] Figure 3 This is a structural block diagram of the sensor in this utility model;

[0030] Figure 4 This is a structural block diagram of the wireless communication module in this utility model;

[0031] Figure 5 This is a structural block diagram of the alarm module in this utility model;

[0032] Figure 6 This is a structural block diagram of the power management module in this utility model.

[0033] Label Explanation:

[0034] 100. Processor motherboard; 200. Sensor; 300. Alarm module; 400. ID card code recognition module; 500. Wireless communication module; 600. Intelligent inspection platform; 700. Power management module. Detailed Implementation

[0035] To make the technical problem to be solved, the technical solution, and the beneficial effects of this utility model clearer and more understandable, the present utility model will be further described in detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain this utility model and are not intended to limit this utility model.

[0036] Please see Figures 1 to 6 This invention relates to an online early warning and detection device for septic tank gas, which is the preferred embodiment of the present invention. The device includes a processor motherboard 100, sensors 200 electrically connected to the processor motherboard 100, an I / O interface, and an alarm module 300, and also includes an ID card code recognition module 400 electrically connected to the processor motherboard 100. The sensors 200 include a catalytic combustion sensor 200, an electrochemical sensor 200, and at least two auxiliary sensors 200. The I / O interface includes a wireless communication module 500 capable of data interaction with a septic tank ID card code data acquisition and management system. The management system is a cloud-based intelligent inspection platform 600.

[0037] Specifically, in this embodiment, the device adopts a modular design and mainly consists of the following parts:

[0038] (1) Core control: Processor motherboard 100 (model STM32H743), integrating edge computing unit and storage unit (16MB RAM + 64MB Flash)

[0039] (2) Data acquisition: 200 sets of sensors + 400 ID card code recognition modules

[0040] (3) Wireless communication: NB-IoT wireless communication unit + RS485 local interface

[0041] (4) Alarm response: sound alarm unit + wireless alarm unit

[0042] (5) Power management: Lithium battery pack (12V / 10000mAh) + solar charging panel (5W)

[0043] (6) Protective structure: IP68 grade corrosion-resistant ABS shell

[0044] Each module is electrically connected through the internal bus (SPI / I2C / UART) on the processor motherboard 100, forming a complete closed-loop monitoring system.

[0045] Preferably, the ID card code recognition module 400 is a dual-mode module integrating an image sensor 200 with QR code recognition function and an RFID reader / writer. Through dual recognition using QR codes and RFID, the low cost and ease of reading of QR codes can be utilized, while the high stability of RFID in humid and contaminated environments can complement each other, ensuring reliable acquisition of septic tank identification information.

[0046] Specifically, the implementation of the ID card code recognition module 400 is as follows:

[0047] (1) Composition:

[0048] QR code recognition unit: Industrial-grade image sensor 200 (model: OV2640, resolution 1280×720)

[0049] RFID reader / writer: UHF module (Model: RDM880, operating frequency 920-925MHz, identification distance 0-3m)

[0050] Identification window: 5mm thick anti-fouling tempered glass (light transmittance ≥95%, surface hardness ≥7H)

[0051] (2) Connection:

[0052] The image sensor 200 is connected to the GPIO interface of the processor motherboard 100 via the SPI bus (for transmitting image data).

[0053] The RFID reader is connected to the UART2 interface (115200bps baud rate) of the processor motherboard 100 via the SPI bus.

[0054] (3) Functions:

[0055] QR code decoding: Supports DM codes and QR codes, automatically recognizing 16-bit codes containing region codes, construction year, and serial numbers.

[0056] RFID Reading: Reads the passive RFID tag (EPC encoding format) built into the septic tank manhole cover.

[0057] Dual-mode verification: When the QR code is damaged, it automatically switches to RFID mode to ensure a high success rate of identity recognition.

[0058] Furthermore, the sensor 200 is implemented as follows:

[0059] (1) Composition:

[0060] Catalytic combustion sensor 200 (model: MQ-4): Measurement range 0-100% LEL methane, response time ≤15s, accuracy ±3%.

[0061] Electrochemical Sensor 200 (Model: ME3-H2S): Measurement range 0-100ppm hydrogen sulfide, response time ≤30s, accuracy ±5%.

[0062] Temperature and humidity sensor 200 (model: SHT31): Measurement range -40~85℃ / 0-100%RH, accuracy ±0.3℃ / ±3%RH

[0063] Pressure sensor 200 (model: MPX5010): Measurement range 0-10 kPa, accuracy ±0.2 kPa.

[0064] Liquid level sensor 200 (Model: Submersible hydrostatic type, measuring range 0-3m)

[0065] (2) Connection:

[0066] Catalytic combustion / electrochemical sensor 200 → Processor motherboard 100 ADC interface (12-bit resolution, sampling frequency 10Hz)

[0067] Temperature and humidity sensor 200 → Processor motherboard 100I2C1 interface (address 0x44)

[0068] Pressure sensor 200 → Processor motherboard 100 ADC channel 3

[0069] Liquid level sensor 200 → Processor motherboard 100 ADC channel 4

[0070] (3) Signal conditioning:

[0071] Each sensor is equipped with a low-pass filter (cutoff frequency 2Hz) in the pre-amplifier stage to filter out high-frequency interference.

[0072] The gas sensor 200 uses a 3-wire connection and has a built-in temperature compensation circuit.

[0073] Preferably, it also includes an intelligent inspection platform 600 that is remotely connected to the wireless communication module 500 for cloud monitoring. The intelligent inspection platform 600, acting as a cloud control center, can aggregate monitoring data from each septic tank, enabling global management and online early warning.

[0074] Among them, the wireless communication module 500 is an NB-IoT module, used to support bidirectional data transmission with the septic tank ID code recognition module 400 and remote connection to the intelligent inspection platform 600. The NB-IoT module has the characteristics of low power consumption, wide coverage, and large connection, which is suitable for long-term stable communication in outdoor decentralized scenarios such as septic tanks. It can realize the uploading of monitoring data (such as regular uploading every 5 minutes, and real-time uploading in case of abnormality) and the reception of remote commands (such as adjusting the warning threshold).

[0075] Its specific implementation is as follows:

[0076] (1) Composition:

[0077] NB-IoT module (model: BC95-G): Supports B1 / B3 / B5 / B8 frequency bands, operating temperature -40~+85℃

[0078] RS485 interface (model: MAX3485): Supports Modbus RTU protocol, communication distance ≤1200m

[0079] Antenna assembly:

[0080] NB-IoT external antenna (gain 3dBi, frequency band 800 / 900MHz)

[0081] RFID built-in antenna (ring, 50mm in diameter)

[0082] (2) Connection:

[0083] NB-IoT module → Processor motherboard 100UART1 interface (AT command control)

[0084] RS485 interface → Processor motherboard 100UART3 interface

[0085] Antenna interface → Corresponding module RF port (SMA interface)

[0086] (3) Communication protocol:

[0087] Communication with the cloud platform: MQTT protocol (QoS level 1)

[0088] Data packet format: JSON (including timestamp, sensor 200 data, and device status)

[0089] Preferably, the alarm module 300 includes a sound alarm unit and a wireless alarm unit. The wireless alarm unit is used to send an alarm signal containing the septic tank's identification code, real-time location information, and abnormal parameters to the intelligent inspection platform 600 via an I / O interface. The sound alarm unit can emit a buzzer at a level of 110dB or higher on-site to alert nearby personnel; the wireless alarm unit synchronizes the alarm information to the cloud to ensure that management can respond immediately.

[0090] The alarm module 300 is implemented as follows:

[0091] (1) Composition:

[0092] Audible alarm unit: 110dB buzzer (model: PS1240, operating voltage DC12V)

[0093] Wireless alarm unit: integrated into the NB-IoT module

[0094] (2) Connection:

[0095] Buzzer → Processor motherboard 100GPIO pin (high level trigger)

[0096] Wireless alarm → transmitted to the cloud via NB-IoT module

[0097] (3) Triggering logic:

[0098] Level 1 Warning: Methane ≥ 30% LEL → Intermittent buzzer alarm (1 time / second)

[0099] Level 2 warning: Methane ≥ 50% LEL → Continuous buzzer alarm + SMS notification

[0100] Level 3 Warning: Methane ≥ 80% LEL → Continuous alarm + telephone voice alert + linkage with fire suppression system

[0101] The power management module 700 is implemented as follows:

[0102] (1) Composition:

[0103] Lithium battery pack: 12V / 10000mAh (lithium iron phosphate, cycle life ≥2000 cycles)

[0104] Solar Charger Controller (Model: MPPT-10A)

[0105] Solar panel: 5W monocrystalline silicon (conversion efficiency 21%, size 170×125mm)

[0106] Backup power interface: DC12V input (reverse connection protection)

[0107] (2) Connection:

[0108] Solar panel → Charge controller input terminal

[0109] Charge controller output terminal → Lithium battery pack positive terminal

[0110] Lithium battery pack → Processor motherboard 100 power input terminal

[0111] (3) Working mode:

[0112] Normal mode: Powered by solar energy, simultaneously charging the battery.

[0113] Night mode: Battery powered (power consumption ≤50mA)

[0114] Low power mode: When the battery voltage is <10.5V, the sampling frequency is automatically reduced (1 time / 10 minutes).

[0115] Preferably, the processor motherboard 100 includes an edge computing unit for local preprocessing of data from the sensor 200. The edge computing unit can perform functions such as data filtering (removing instantaneous interference signals), concentration change rate calculation (e.g., triggering an early warning if methane concentration rises by more than 20% within 10 minutes), and multi-parameter fusion analysis (combining temperature and humidity to correct gas concentration deviations), reducing the upload of invalid data and improving the accuracy of early warnings.

[0116] Preferably, it also includes a protective housing made of corrosion-resistant ABS material with an IP68 protection rating. The housing surface has a pre-drilled ID card recognition window and a 200 sampling port for the sensor. The IP68 protection rating ensures that the device can be submerged in water at a depth of 2 meters for 30 minutes without affecting normal operation, adapting to the harsh environment of humid and corrosive conditions around septic tanks.

[0117] The protective casing is implemented as follows:

[0118] (1) Shell design:

[0119] Material: Corrosion-resistant ABS+PC alloy (UL94-V0 flame retardant rating)

[0120] Dimensions: 250mm × 180mm × 100mm

[0121] Protection rating: IP68 (can be submerged in water at a depth of 2 meters for 30 minutes)

[0122] (2) Key sealing design:

[0123] ID card code recognition window: silicone sealing ring (Shore hardness 50A) + ultrasonic welding

[0124] Sensor 200 sampling port: PTFE dustproof and moisture-proof filter (0.2μm pore size) + labyrinth waterproof structure

[0125] Terminal block: Waterproof aviation connector (Model: M12×1, IP68 rating)

[0126] Preferably, the ID card code recognition window is equipped with anti-fouling tempered glass, which not only ensures the penetration of QR code / RFID signals, but also prevents dust and liquid from contaminating the recognition area, thus extending the maintenance cycle.

[0127] Preferably, the sampling port of sensor 200 has a built-in dustproof and moisture-proof filter, which can filter particulate matter and moisture in the air, prevent sensor 200 from being contaminated or becoming damp and thus ensure detection accuracy.

[0128] Preferably, the auxiliary sensor 200 is selected from at least two of the following: temperature and humidity sensor 200, pressure sensor 200, and liquid level sensor 200. More preferably, it is a temperature and humidity sensor 200, a pressure sensor 200, and a liquid level sensor 200. The temperature and humidity sensor 200 (measuring range -40~85℃, 0~100%RH) can be used to analyze the influence of the environment on gas concentration; the pressure sensor 200 (0~10kPa range) can monitor the internal gas pressure of the septic tank to help determine whether there is a gas leak; the liquid level sensor 200 (0~3m range) can prevent sewage overflow and achieve multi-dimensional safety monitoring.

[0129] The working process of this utility model is as follows:

[0130] (1) After the processor motherboard 100 is reset, initialize peripherals such as GPIO, UART, and SPI, detect the lithium battery voltage (through the ADC sampling voltage divider circuit), and perform self-test of the zero-point output of each sensor 200 (compare with the factory calibration value).

[0131] (2) Start the ID card code recognition module 400, first try QR code recognition (exposure time 200ms). If it fails (three consecutive failures), it will automatically switch to RFID mode, send the recognized 16-bit code to the processor and store it in Flash.

[0132] (3) Wake up the NB-IoT module (send command), register the network (wait for response), and connect to the MQTT server (preset address and corresponding port).

[0133] (4) Regular sampling: A complete sampling cycle is started every 5 minutes (configurable), and 200 data from each sensor are read in sequence.

[0134] (5) Data preprocessing: The edge computing unit applies moving average filtering, temperature and humidity compensation: corrects the gas concentration value (e.g., for every 10°C increase in temperature, the methane reading is compensated by +2%), and the rate of change calculation: calculates the average rate of change (ΔC / Δt) between the current value and the previous 5 samples.

[0135] (6) Data packet assembly: Data packet format, JSON (including timestamp, sensor 200 data, device status).

[0136] (7) Sending process: Publish to the topic via MQTT protocol and wait for server confirmation. If the sending fails, store the data in the local Flash cache.

[0137] (8) Local judgment logic:

[0138] Level 1 warning: Methane ≥ 30% LEL

[0139] Level 2 warning: Methane ≥ 50% LEL

[0140] Level 3 Warning: Methane ≥80% LE

[0141] (9) Linkage Response:

[0142] Level 1 warning: Activate the local buzzer (frequency 1Hz, duty cycle 50%).

[0143] Level 2 Alert: The buzzer will sound continuously and an SMS message will be sent to the administrator (containing ID number, location, and concentration value).

[0144] Level 3 alert: Buzzer + SMS + telephone voice alarm + sending an emergency work order to the intelligent inspection platform 600.

[0145] (10) Data reception and processing:

[0146] After receiving the data, the intelligent inspection platform 600 displays it on a linked GIS map.

[0147] Automatically generate trend charts (hourly / daily / weekly)

[0148] Store the data in a time-series database (InfluxDB) and retain 5 years of historical data.

[0149] The simplified procedure is as follows:

[0150] When this device is working, the ID card code recognition module 400 first reads the unique identification code (QR code or RFID) of the septic tank and transmits the identification information to the processor motherboard 100; the sensor 200 sets simultaneously collect data: the catalytic combustion sensor 200 detects the concentration of combustible gases such as methane, the electrochemical sensor 200 detects the concentration of toxic gases such as hydrogen sulfide, and the auxiliary sensor 200 collects parameters such as temperature, humidity, pressure, and liquid level; the processor motherboard 100 preprocesses the data through the edge computing unit, packages the "identity information + monitoring data" and transmits it to the septic tank ID card code data acquisition and management system and the intelligent inspection platform 600 through the NB-IoT module; when the monitoring data exceeds the preset threshold, the alarm module 300 simultaneously activates the sound alarm and the wireless alarm. The wireless alarm signal contains the septic tank ID card code (for rapid positioning), real-time location information (linked to the GIS system), and abnormal parameters (such as methane concentration 80% LEL). After receiving the signal, the intelligent inspection platform 600 triggers an online warning and pushes the information to the management personnel terminal (mobile phone / computer), realizing a closed-loop system of "monitoring-identification-warning-response".

[0151] Compared with the prior art, the present invention has the following beneficial effects:

[0152] 1. By using the ID card code recognition module 400, monitoring data such as gas concentration and pressure are bound to the unique identity of the septic tank, solving the problem of "data without ownership" in existing devices. Management departments can quickly query the historical data and real-time status of specific septic tanks through the intelligent inspection platform 600, improving management accuracy.

[0153] 2. Combining local sound alarms and cloud-based wireless alarms, it not only alerts on-site personnel but also ensures remote response from management departments, reducing alarm response time from the traditional hourly level to the minute level; multi-sensor 200 collaborative monitoring avoids the limitations of single gas parameter monitoring, greatly improving the accuracy of early warning.

[0154] 3. The IP68 protective shell, anti-fouling tempered glass, dustproof and moisture-proof filter design enable the device to operate stably in humid, corrosive and dusty septic tank environments, reducing maintenance costs.

[0155] 4. By connecting with the 600 intelligent inspection platform via the NB-IoT module, functions such as data aggregation and analysis (e.g., identifying high-risk areas), remote parameter configuration (e.g., seasonal adjustment of temperature and humidity compensation coefficients), and historical data tracing (retaining records for more than one year) can be realized, promoting the transformation of septic tank management from "passive response" to "proactive prevention".

[0156] The present invention has been described above with reference to the accompanying drawings. Obviously, the specific implementation of the present invention is not limited to the above-described manner. Any non-substantial improvements made using the inventive concept and technical solution of the present invention, or the direct application of the inventive concept and technical solution to other situations without modification, are all within the protection scope of the present invention.

Claims

1. A septic tank gas online early warning detection device, comprising a processor mainboard (100), a sensor (200), an I / O interface and an alarm module (300) electrically connected with the processor mainboard (100), characterized in that: It also includes an ID card code recognition module (400) electrically connected to the processor motherboard (100); the sensor (200) includes a catalytic combustion sensor (200), an electrochemical sensor (200), and at least two auxiliary sensors (200); the I / O interface includes a wireless communication module (500) capable of data interaction with the septic tank ID card code data acquisition and management system.

2. The device according to claim 1, characterized in that, The ID card code recognition module (400) is a dual-mode module that integrates an image sensor (200) with QR code recognition function and an RFID reader / writer.

3. The device according to claim 1, characterized in that, It also includes an intelligent inspection platform (600) that is remotely connected to the wireless communication module (500) for cloud monitoring.

4. The device according to claim 2, characterized in that, The wireless communication module (500) is an NB-IoT module, used to support bidirectional data transmission with the septic tank ID card code recognition module (400) and remote connection to the intelligent inspection platform (600).

5. The device according to claim 2, characterized in that, The alarm module (300) includes a sound alarm unit and a wireless alarm unit. The wireless alarm unit is used to send an alarm signal containing the septic tank ID code, real-time location information and abnormal parameters to the intelligent inspection platform (600) through the I / O interface.

6. The septic tank gas online early warning detection device according to claim 1, characterized in that, The processor motherboard (100) includes an edge computing unit for local preprocessing of sensor (200) data.

7. The device according to claim 1, characterized in that, It also includes a protective shell, which is made of corrosion-resistant ABS material and has an IP68 protection rating. The surface of the shell has a reserved ID card code recognition window and a sensor (200) sampling port.

8. The septic tank gas online early warning detection device according to claim 7, characterized in that, The ID card code recognition window is equipped with anti-fouling tempered glass.

9. The septic tank gas online early warning detection device according to claim 7, characterized in that, The sensor (200) has a built-in dustproof and moisture-proof filter at its sampling port.

10. The septic tank gas online early warning detection device according to claim 1, characterized in that, The auxiliary sensor (200) is selected from at least two of the following: temperature and humidity sensor (200), pressure sensor (200), and liquid level sensor (200).

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