Detector low-power-consumption operation method based on intelligent gas and Internet of Things system

Abstract

The invention relates to the technical field of Internet of Things, and discloses a detector low-power-consumption operation method based on smart gas and an Internet of Things system, and the system comprises a communication transmission module which is used for transmitting real-time data acquired by a data acquisition module to a cloud platform; the data processing module is used for cleaning the collected original data; the early warning detection module is used for monitoring the processed data in real time and accurately judging whether the abnormal condition of gas leakage exists or not according to a threshold value, a rule and an algorithm; and the remote control module is used for enabling a user or a manager to remotely operate and manage various functions and parameters of the detector through a network. According to the invention, through real-time accurate monitoring and timely early warning, gas leakage accidents can be effectively prevented, the life and property safety of residents can be guaranteed, the low-power-consumption operation method of the detector significantly prolongs the service life of a battery of the device, reduces the need of frequently replacing the battery or charging the battery, and reduces the maintenance cost and the influence on the environment.

Description

Technical Field

[0001] The present invention relates to the field of Internet of Things technology, and in particular to a low-power operation method for a smart gas detector and an Internet of Things system. Background Art

[0002] With the acceleration of urbanization and the improvement of people's living standards, gas has been widely used as an important energy source in households, businesses, and industries. However, gas leaks are a serious safety hazard that can lead to major accidents such as fires, explosions, and casualties. Therefore, effective gas leak monitoring is crucial.

[0003] Traditional detectors perform poorly in terms of power consumption, with limited battery life. Furthermore, the sensors record various gas parameters at all times, requiring frequent battery replacement or charging. This not only increases maintenance costs but also causes inconvenience to users. The disposal of large quantities of discarded batteries also puts a certain amount of pressure on the environment, and the untimely warnings cannot effectively reduce the risk of accidents. High power consumption leads to frequent battery replacement, increasing maintenance costs and environmental burdens. Summary of the Invention

[0004] In order to make up for the above shortcomings, the present invention provides a low-power operation method and Internet of Things system based on smart gas detectors, aiming to improve the problems of untimely early warning, inability to effectively reduce accident risks, high power consumption leading to frequent battery replacement, low data processing and transmission efficiency, increased maintenance costs and environmental burden.

[0005] In a first aspect, the present invention provides the following technical solutions, based on a smart gas detector Internet of Things system, including: Data acquisition module, communication transmission module, data transmission module, data processing module, early warning detection module, remote control module and system management module; The data acquisition module is used to collect gas concentration, pressure, temperature, and flow data in real time through sensors, and to perform preliminary coding and organization on these data; The communication transmission module is used to transmit the real-time data acquired by the data acquisition module to the cloud platform; The data transmission module is used to transmit processed and integrated data between different system components, so that each module can obtain the required information in a timely manner; The data processing module is used to clean, filter and deeply analyze the collected raw data, remove noise and invalid data, and extract features and information; The early warning detection module is used to monitor the processed data in real time and accurately determine whether there is an abnormal gas leakage based on thresholds, rules and algorithms; The remote control module is used to enable users or managers to remotely operate and manage various functions and parameters of the detector through the network.

[0006] Preferably, the data acquisition module includes a sensor unit, a signal conversion unit and a data encoding unit. The sensor unit is responsible for sensing and acquiring gas-related parameters, the signal conversion unit is used to convert the output signal of the sensor into a digital signal, and the data encoding unit is used to encode and organize the collected data.

[0007] Preferably, the communication transmission module includes a communication interface unit, a data encryption unit and a transmission protocol unit, the communication interface unit is used to connect with the detector and the network, the data encryption unit is used to encrypt the transmission data, and the transmission protocol unit is used to transmit data in accordance with a specific communication protocol, and the system components include detectors, cloud platforms and user terminals.

[0008] Preferably, the data transmission module includes a data buffer unit, a routing selection unit and a connection and transmission switching unit. The data buffer unit is used to temporarily store data to be transmitted, the routing selection unit is used to determine the path and protocol of data transmission, and the connection and transmission switching unit is used to directly connect to the system components through at least one of WIFI, wired or Bluetooth, and independently judge and select the connection method for connection according to the transmission channel.

[0009] Preferably, the data processing module includes a data cleaning unit, a data analysis unit and a feature extraction unit. The data cleaning unit is used to remove noise and invalid data in the data. The data analysis unit is used to use an algorithm to analyze the data after eliminating noise and invalid data. The feature extraction unit is used to extract features of the data.

[0010] Preferably, the early warning detection module includes a threshold setting unit, a comparison and judgment unit and an alarm triggering unit, the threshold setting unit is used to set the early warning threshold, the comparison and judgment unit is used to compare the monitoring data with the threshold, and the alarm triggering unit is used to trigger an alarm in the event of an abnormality.

[0011] Preferably, the remote control module includes an instruction receiving unit, an instruction parsing unit and an execution feedback unit, wherein the instruction receiving unit is used to receive remote control instructions, the instruction parsing unit is used to parse instruction content, and the execution feedback unit is used to feed back execution results to the user.

[0012] In a second aspect, the present invention provides the following technical solution, a low-power operation method for a smart gas detector, comprising the following steps: S1. Dynamic monitoring mode switching: The detector is set to different working modes according to the time period and frequency of gas use. During the peak period of gas use, the data is collected and transmitted in real time. During the low period of gas use, the collection frequency and data transmission volume are reduced. S2, Intelligent Sleep Strategy: When the detector detects that the gas environment is stable or normal, it enters a sleep state, shuts down some components, retains basic monitoring functions, and wakes up when there is a significant change in environmental parameters; S3. Data compression and simplification: During the data collection phase, the collected data is compressed and simplified to remove redundant information, reduce the data volume, and reduce energy consumption during transmission and processing; S4. Optimize communication protocols: Use low-power communication protocols, such as NB-IoT or LoRaWAN, to reduce energy consumption during communication. S5. Sensor power consumption management: According to the detection requirements, adjust the operating parameters of the sensor, including sensitivity and sampling period, to reduce power consumption while ensuring detection accuracy; S6. Power management optimization and algorithm optimization: Use power management chips and circuits to allocate and utilize power in different operating modes. By optimizing data processing and analysis algorithms, the amount of calculation is reduced and the processor workload is lowered. In the third aspect, the invention provides the following technical solution: a computer device comprising a memory, a processor, and a computer program stored in the memory and executable on the processor; when the processor executes the computer program, the low-power operation method of the detector based on smart gas is implemented.

[0013] In a fourth aspect, the present invention provides the following technical solution: a readable storage medium having a computer program stored thereon, and when the computer program is executed by a processor, the low-power operation method of the detector based on smart gas is implemented.

[0014] The present invention has the following beneficial effects: 1. In the present invention, through real-time and accurate monitoring and timely early warning, gas leakage accidents can be effectively prevented and the safety of residents' lives and property can be protected. The low-power operation method of the detector significantly extends the battery life of the device, reduces the need for frequent battery replacement or charging, and reduces maintenance costs and environmental impact.

[0015] 2. In the present invention, the collaborative work and fine division of labor of each module improve the efficiency and accuracy of data collection, transmission, processing and analysis, enabling the system to respond to abnormal situations more quickly, and can flexibly adjust the working mode according to different situations of gas use, adapt to various complex usage scenarios and environmental conditions, and adjust the working mode according to different environments and usage conditions, thereby avoiding the effect of unnecessary energy consumption.

[0016] 3. In the present invention, the encryption and protocol compliance in the communication transmission module ensure the security and confidentiality of data during transmission, preventing the data from being stolen or tampered with. The data processing module cleans, screens and analyzes the data, ensuring the quality and reliability of the data, providing an accurate basis for decision-making, and further increasing the accuracy of the data. The operating status and energy consumption can be judged through the data in the cloud. BRIEF DESCRIPTION OF THE DRAWINGS

[0017] Figure 1 This is a system architecture diagram of the smart gas detector Internet of Things system proposed in the present invention; Figure 2 This is the data acquisition module architecture diagram of the smart gas detector IoT system proposed in this invention. Figure 3 This is a diagram of the communication transmission module architecture of the smart gas detector IoT system proposed in the present invention; Figure 4 This is a diagram of the data transmission module architecture of the smart gas detector IoT system proposed in the present invention; Figure 5 This is a diagram of the data processing module architecture of the smart gas detector IoT system proposed in the present invention; Figure 6 This is the architecture diagram of the early warning detection module of the smart gas detector Internet of Things system proposed in the present invention; Figure 7 This is a diagram of the remote control module architecture of the smart gas detector IoT system proposed in the present invention; Figure 8 This is a flow chart of the low-power operation method of the smart gas detector proposed in the present invention; DETAILED DESCRIPTION

[0018] The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, not all embodiments. All other embodiments obtained by ordinary technicians in this field based on the embodiments of the present invention without making any creative efforts shall fall within the scope of protection of the present invention.

[0019] Example 1 Reference Figure 1-Figure 7 In a first embodiment of the present invention, the present invention provides an Internet of Things system based on a smart gas detector, comprising: Data acquisition module, communication transmission module, data transmission module, data processing module, early warning detection module, remote control module and system management module; The data acquisition module is used to collect gas concentration, pressure, temperature, and flow data in real time through sensors, and to perform preliminary coding and organization on these data; The communication transmission module is used to transmit the real-time data acquired by the data acquisition module to the cloud platform; The data transmission module is used to transmit processed and integrated data between different system components, so that each module can obtain the required information in a timely manner; The data processing module is used to clean, filter and deeply analyze the collected raw data, remove noise and invalid data, and extract features and information; The early warning detection module is used to monitor processed data in real time and accurately determine whether there is an abnormal gas leak based on thresholds, rules and algorithms; The remote control module is used to allow users or managers to remotely operate and manage the detector's functions and parameters through the network.

[0020] The data acquisition module includes a sensor unit, a signal conversion unit and a data encoding unit. The sensor unit is responsible for sensing and obtaining gas-related parameters, the signal conversion unit is used to convert the output signal of the sensor into a digital signal, and the data encoding unit is used to encode and organize the collected data.

[0021] Specifically, the sensor unit, as the front end of data acquisition, is in direct contact with the gas environment, sensing and acquiring key parameters including gas concentration, pressure, temperature, flow, etc., ensuring accurate capture of subtle changes in gas-related parameters and providing reliable raw data for subsequent processing and analysis; The signal conversion unit converts the analog signal output by the sensor into a digital signal for subsequent digital processing and transmission, achieving accurate conversion from analog signal to digital signal, reducing signal distortion and error, and improving data accuracy and stability; The data encoding unit encodes and organizes the collected raw data so that it has a unified format and specification, which facilitates subsequent data transmission, storage and processing, improves the readability and processability of the data, reduces errors and confusion in data transmission, and is conducive to data compression and encryption.

[0022] The communication transmission module includes a communication interface unit, a data encryption unit and a transmission protocol unit. The communication interface unit is used to connect with the detector and the network, the data encryption unit is used to encrypt the transmitted data, and the transmission protocol unit is used to transmit data in accordance with a specific communication protocol. The system components include detectors, cloud platforms and user terminals.

[0023] Specifically, the communication interface unit serves as a physical connection bridge between the communication transmission module and the detector and the network, realizing electrical and signal connection and interaction, ensuring a stable and reliable connection, guaranteeing the continuity and stability of data transmission, and reducing the probability of connection failure; The data encryption unit encrypts the data to be transmitted to protect the security and privacy of the data and prevent the data from being stolen, tampered or illegally accessed during transmission, thereby enhancing the security and confidentiality of the system; The transmission protocol unit follows specific communication protocol specifications to encapsulate, package and control the transmission of data, ensuring that data is transmitted according to unified rules between different detectors, cloud platforms and user terminals, thereby improving the efficiency and accuracy of transmission.

[0024] The data transmission module includes a data buffer unit, a routing selection unit and a connection and transmission switching unit. The data buffer unit is used to temporarily store data to be transmitted, the routing selection unit is used to determine the path and protocol for data transmission, and the connection and transmission switching unit is used to directly connect to the system components through at least one of WIFI, wired or Bluetooth, and independently judge and select the connection method based on the transmission channel.

[0025] Specifically, the data buffer unit temporarily stores data to be transmitted to balance the difference between data generation and transmission speed, avoid data loss or transmission interruption, effectively deal with data emergencies, ensure data continuity and integrity, and reduce data loss or errors caused by transmission speed mismatch; The routing unit determines the optimal transmission path and applicable protocol for data from source to destination based on factors such as network topology, link status, and transmission requirements, thereby improving the efficiency and reliability of data transmission, reducing transmission delay and packet loss rate, and optimizing the utilization of network resources. The connection and transmission switching unit enables switching and selection of multiple connection modes such as WIFI, wired, and Bluetooth between the detector, cloud platform, and user terminal to adapt to different transmission environments and needs, enhances the flexibility and adaptability of data transmission, and ensures effective data transmission under different network conditions.

[0026] The data processing module includes a data cleaning unit, a data analysis unit and a feature extraction unit. The data cleaning unit is used to remove noise and invalid data in the data. The data analysis unit is used to use an algorithm to analyze the data after eliminating noise and invalid data. The feature extraction unit is used to extract the features of the data.

[0027] Specifically, the data cleaning unit identifies and removes invalid data such as noise, errors or duplications in the data, improves the quality and accuracy of the data, and makes subsequent data analysis and processing based on cleaner and more reliable data, avoiding erroneous or biased results, and enhancing the stability and reliability of the system; The data analysis unit uses various algorithms and models to conduct in-depth mining and analysis of cleaned data to discover potential patterns, trends, and relationships, providing valuable information and insights for decision-making and supporting system optimization, prediction, and anomaly detection functions; The feature extraction unit extracts representative and discriminative features from the raw data, reduces the data dimension, highlights key information, improves the efficiency of data processing, reduces computational complexity, and provides more effective input for subsequent model training and classification tasks.

[0028] The early warning detection module includes a threshold setting unit, a comparison and judgment unit and an alarm triggering unit. The threshold setting unit is used to set the early warning threshold, the comparison and judgment unit is used to compare the monitoring data with the threshold, and the alarm triggering unit is used to trigger an alarm in the event of an abnormality.

[0029] Specifically, the threshold setting unit reasonably determines the threshold used to judge whether the gas is in an abnormal state based on gas safety standards, historical data, and actual application scenarios, ensuring the accuracy and rationality of the early warning, which is neither too sensitive to cause false alarms nor too slow to cause missed alarms. The comparison and judgment unit continuously compares and analyzes the real-time monitored data with the set threshold value to determine whether the gas status is normal, promptly detect abnormal changes in the data, and provide an accurate basis for subsequent alarm decisions; When the monitoring data exceeds the threshold or other abnormal conditions occur, the alarm trigger unit quickly activates the alarm mechanism, sends alarm information to relevant personnel, and promptly notifies relevant personnel to take emergency measures to avoid accidents or reduce losses.

[0030] The remote control module includes an instruction receiving unit, an instruction parsing unit and an execution feedback unit. The instruction receiving unit is used to receive remote control instructions, the instruction parsing unit is used to parse instruction content, and the execution feedback unit is used to feed back execution results to the user.

[0031] Specifically, the instruction receiving unit is responsible for monitoring and receiving remote control instructions sent by users or management systems in real time, ensuring that the instructions can enter the module accurately and without error, ensuring timely acquisition of remote control instructions, avoiding loss or delayed reception of instructions, and providing a basis for subsequent processing; The instruction parsing unit parses and understands the received instructions, extracts key information such as the control object, operation type, parameters, etc., and converts complex instructions into executable specific tasks and operation requirements to ensure that the module can correctly understand the user's intentions; The execution feedback unit feeds back the execution results of the remote control instructions to the user, allowing the user to understand whether the control operation is successful and the status changes of related equipment, enhancing the user's perception and trust in remote control, and facilitating the user to make further decisions and adjustments in a timely manner.

[0032] Example 2: Reference Figure 8 In a second embodiment of the present invention, the present invention provides a low-power operation method for a smart gas detector, comprising the following steps: S1. Dynamic monitoring mode switching: The detector is set to different working modes according to the time period and frequency of gas use. During the peak period of gas use, the data is collected and transmitted in real time. During the low period of gas use, the collection frequency and data transmission volume are reduced. S2, Intelligent Sleep Strategy: When the detector detects that the gas environment is stable or normal, it enters a sleep state, shuts down some components, retains basic monitoring functions, and wakes up when there is a significant change in environmental parameters; S3. Data compression and simplification: During the data collection phase, the collected data is compressed and simplified to remove redundant information, reduce the data volume, and reduce energy consumption during transmission and processing; S4. Optimize communication protocols: Use low-power communication protocols, such as NB-IoT or LoRaWAN, to reduce energy consumption during communication. S5. Sensor power consumption management: According to the detection requirements, adjust the operating parameters of the sensor, including sensitivity and sampling period, to reduce power consumption while ensuring detection accuracy; S6. Power management optimization and algorithm optimization: Use power management chips and circuits to allocate and utilize power in different working modes, and reduce the amount of calculation and the workload of the processor by optimizing data processing and analysis algorithms.

[0033] Specifically, the working mode of the detector can be flexibly adjusted according to the actual situation of gas use to adapt to the needs of different time periods and frequencies. Through the preset time segmentation and gas use frequency threshold, the detector's collection and transmission frequency can be automatically switched. During peak periods, data is collected and transmitted once per second, and during low periods, data is collected and transmitted every few minutes. The stability of environmental parameters is monitored by sensors. When the change amplitude of various parameters is less than the set threshold within a certain period of time, some non-critical components are automatically shut down, and only the basic gas concentration monitoring function is retained. When environmental parameters such as concentration and temperature change significantly, the detector is quickly awakened to enter normal working mode, using data compression algorithms such as Huffman coding for lossless compression or average compression for lossy compression. Value compression, etc., remove redundant information and repeated parts in the data, and use communication protocols such as NB-IoT or LoRaWAN designed for low-power IoT devices. These protocols are optimized in terms of data transmission, connection establishment and maintenance to reduce energy consumption. The sensitivity and sampling period of the sensor are adjusted through software control or hardware circuits. When the sensitivity to gas leaks is not high, the sensitivity of the sensor is reduced; in periods of relatively stable gas usage, the sampling period is extended, efficient power management chips are selected, and reasonable power circuits are designed to intelligently distribute electrical energy according to different working modes. For algorithm optimization, more efficient data analysis and processing algorithms are used, such as prediction algorithms based on machine learning, to reduce unnecessary calculation steps.

[0034] Example 3 The third embodiment of the present invention is based on the same inventive concept. The present invention proposes a computer-readable storage medium, which stores a computer program. When the computer program is executed by a processor, it implements the steps of the low-power operation method of the smart gas detector based on the above embodiment.

[0035] Example 4 The fourth embodiment of the present invention is based on the same inventive concept. The present invention proposes a terminal, which includes: a processor and a memory; the processor and the memory communicate with each other; the memory is used to store instructions; the processor is used to execute the instructions in the memory to execute the low-power operation method of the smart gas detector based on the above embodiment.

[0036] It should be understood that various components of the present invention may be implemented using hardware, software, firmware, or a combination thereof. In the above-described embodiments, multiple steps or methods may be implemented using software or firmware stored in a memory and executed by a suitable instruction execution system. For example, if implemented using hardware, as in another embodiment, any one of the following technologies known in the art or a combination thereof may be used: a discrete logic circuit having logic gate circuits for implementing logic functions on data signals, an application-specific integrated circuit having suitable combinational logic gate circuits, a programmable gate array (PGA), a field-programmable gate array (FPGA), etc.

[0037] 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 make equivalent substitutions for some of the technical features therein. Any modifications, equivalent substitutions, improvements, etc. made within the spirit and principles of the present invention should be included in the scope of protection of the present invention.

Claims

1. The IoT system based on smart gas detector is characterized by: include: Data acquisition module, communication transmission module, data transmission module, data processing module, early warning detection module, remote control module and system management module; The data acquisition module is used to collect gas concentration, pressure, temperature, and flow data in real time through sensors, and to perform preliminary coding and organization on these data; The communication transmission module is used to transmit the real-time data acquired by the data acquisition module to the cloud platform; The data transmission module is used to transmit processed and integrated data between different system components, so that each module can obtain the required information in a timely manner; The data processing module is used to clean, filter and deeply analyze the collected raw data, remove noise and invalid data, and extract features and information; The early warning detection module is used to monitor the processed data in real time and accurately determine whether there is an abnormal gas leakage based on thresholds, rules and algorithms; The remote control module is used to enable users or managers to remotely operate and manage various functions and parameters of the detector through the network.

2. The smart gas detector Internet of Things system according to claim 1 is characterized in that: The data acquisition module includes a sensor unit, a signal conversion unit and a data encoding unit. The sensor unit is responsible for sensing and acquiring gas-related parameters, the signal conversion unit is used to convert the output signal of the sensor into a digital signal, and the data encoding unit is used to encode and organize the collected data.

3. The smart gas detector Internet of Things system according to claim 1 is characterized in that: The communication transmission module includes a communication interface unit, a data encryption unit and a transmission protocol unit. The communication interface unit is used to connect with the detector and the network, the data encryption unit is used to encrypt the transmission data, and the transmission protocol unit is used to transmit data in accordance with a specific communication protocol. The system components include detectors, cloud platforms and user terminals.

4. The smart gas detector Internet of Things system according to claim 1 is characterized in that: The data transmission module includes a data buffer unit, a routing selection unit and a connection and transmission switching unit. The data buffer unit is used to temporarily store data to be transmitted, the routing selection unit is used to determine the path and protocol of data transmission, and the connection and transmission switching unit is used to directly connect to the system components through at least one of WIFI, wired or Bluetooth, and independently judge and select the connection method based on the transmission channel.

5. The smart gas detector Internet of Things system according to claim 1 is characterized in that: The data processing module includes a data cleaning unit, a data analysis unit and a feature extraction unit. The data cleaning unit is used to remove noise and invalid data in the data. The data analysis unit is used to use an algorithm to analyze the data after eliminating noise and invalid data. The feature extraction unit is used to extract features of the data.

6. The smart gas detector Internet of Things system according to claim 1 is characterized in that: The early warning detection module includes a threshold setting unit, a comparison and judgment unit and an alarm triggering unit. The threshold setting unit is used to set the early warning threshold, the comparison and judgment unit is used to compare the monitoring data with the threshold, and the alarm triggering unit is used to trigger an alarm in the event of an abnormality.

7. The smart gas detector Internet of Things system according to claim 1 is characterized in that: The remote control module includes an instruction receiving unit, an instruction parsing unit and an execution feedback unit. The instruction receiving unit is used to receive remote control instructions, the instruction parsing unit is used to parse instruction content, and the execution feedback unit is used to feed back execution results to the user.

8. A low-power operation method for a smart gas detector is characterized in that: The smart gas detector Internet of Things system according to any one of claims 1 to 7 comprises the following steps: S1. Dynamic monitoring mode switching: The detector is set to different working modes according to the time period and frequency of gas use. During the peak period of gas use, the data is collected and transmitted in real time. During the low period of gas use, the collection frequency and data transmission volume are reduced. S2, Intelligent Sleep Strategy: When the detector detects that the gas environment is stable or normal, it enters a sleep state, shuts down some components, retains basic monitoring functions, and wakes up when there is a significant change in environmental parameters; S3. Data compression and simplification: During the data collection phase, the collected data is compressed and simplified to remove redundant information, reduce the data volume, and reduce energy consumption during transmission and processing; S4. Optimize communication protocols: Use low-power communication protocols, such as NB-IoT or LoRaWAN, to reduce energy consumption during communication. S5. Sensor power consumption management: According to the detection requirements, adjust the operating parameters of the sensor, including sensitivity and sampling period, to reduce power consumption while ensuring detection accuracy; S6. Power management optimization and algorithm optimization: Use power management chips and circuits to allocate and utilize power in different working modes, and reduce the amount of calculation and the workload of the processor by optimizing data processing and analysis algorithms.

9. A computer device comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein: When the processor executes the computer program, the low-power operation method of the smart gas detector according to claim 8 is implemented.

10. A readable storage medium, characterized in that: The readable storage medium stores a computer program, and when the computer program is executed by the processor, the low-power operation method of the smart gas detector according to claim 8 is implemented.

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