Household gas leakage monitoring device, system and method based on Internet of Things

Abstract

The embodiment of the invention discloses a household gas leakage monitoring device, system and method based on the Internet of Things, and relates to the field of gas. In a specific embodiment, the system comprises a cloud platform server, a plurality of local area network servers arranged in gas monitoring areas respectively and a household gas leakage monitoring device, the household gas leakage monitoring devices are respectively arranged in all rooms of all gas monitoring areas; the cloud platform server is respectively connected with each local area network server; and the local area network server is connected with each household gas leakage detecting and monitoring device in the gas monitoring area where the local area network server is located. According to the embodiment, the problems that in the prior art, fuel gas leakage recognition accuracy is low, fuel gas data transmission is easy to terminal, and emergency repair linkage cannot be carried out are solved.

Description

Technical Field

[0001] The present invention relates to the field of gas, and more specifically, to a household gas leakage monitoring device, system and method based on the Internet of Things. Background Art

[0002] At present, gas leakage is one of the major hidden dangers of household safety. Once a leak occurs and encounters an ignition source such as an open flame or electric spark, it is very easy to cause serious consequences such as fire and explosion. Therefore, it is very important to monitor household gas pipelines and gas appliances in real time and give timely alarms.

[0003] However, existing gas leakage monitoring equipment generally uses a single gas concentration sensor and alarm module for gas fault alarm. This method has low recognition accuracy and users cannot evaluate the current gas leakage situation only by gas concentration. When the existing gas leakage monitoring system uploads gas concentration data, if the room loses power or the equipment in the communication link fails, the data transmission will fail, resulting in maintenance personnel being unable to detect gas leakage faults in time. Moreover, the existing gas leakage monitoring system can only be used for data alarm monitoring and cannot be linked with rapid repairs. During maintenance, it is still necessary to use methods such as breaking doors and windows, which is time-consuming and labor-intensive. Summary of the invention

[0004] The purpose of the present invention is to provide a household gas leak monitoring device, system and method based on the Internet of Things to solve the problems of low gas leak identification accuracy, easy terminal of gas data transmission, and inability to carry out emergency repair linkage in the prior art.

[0005] In order to achieve the above object, the present invention adopts the following technical solutions:

[0006] A first aspect of the present invention provides a household gas leakage monitoring device based on the Internet of Things, comprising a gas pipeline arranged in a room and at least one gas-using device connected to the gas pipeline, and further comprising:

[0007] Gas leak monitoring components and IoT gateways are installed in the rooms respectively;

[0008] The gas leakage monitoring component includes a plurality of gas concentration sensors respectively arranged at preset sampling points of the gas pipeline in the room, a house entrance solenoid valve arranged at the gas inlet end of the gas pipeline in the room, an equipment solenoid valve arranged between the gas pipeline in the room and the gas-using equipment, a flame sensor arranged on the gas-using equipment for monitoring the flame state of the gas-using equipment, an indoor temperature sensor arranged close to the gas pipeline in the room, a gas flow sensor arranged on the gas pipeline in the room, a plurality of electric control switches arranged in the house entrance power supply circuit of the room for controlling the power supply of various electrical appliances including the exhaust device, a plurality of microwave sensors evenly arranged on the top of the room, and a smart door lock;

[0009] The extension end of the Internet of Things gateway is respectively connected to each gas concentration sensor, each flame sensor, each microwave sensor, each electric control switch, a gas flow sensor, an indoor temperature sensor, an entry solenoid valve, each device solenoid valve and a smart door lock;

[0010] The Internet of Things gateway is a programmable Internet of Things gateway with two power supply modes: battery power supply and external power supply power supply, and two data transmission modes: short transmission mode and long transmission mode.

[0011] Furthermore, the analog input end of the Internet of Things gateway is respectively connected to each gas concentration sensor, gas flow sensor and indoor temperature sensor; the digital output end is respectively connected to the control end of the household solenoid valve, the control end of each equipment solenoid valve and each electric control switch; the digital input end is respectively connected to each microwave sensor and each flame sensor; the Internet of Things gateway is connected to the smart door lock.

[0012] Furthermore, the IoT gateway adopts the ZigBee communication protocol in the near transmission mode and the 4G communication protocol in the far transmission mode;

[0013] The household gas leakage monitoring device also includes:

[0014] A coordinator, a local control terminal, and at least one indoor IoT device;

[0015] The coordinator is respectively connected to the local control terminal, each indoor IoT device and the IoT gateway.

[0016] A second aspect of the present invention provides a household gas leak monitoring system based on the Internet of Things, comprising:

[0017] A cloud platform server, a plurality of local area network servers respectively arranged in each gas monitoring area and applied to the household gas leakage monitoring device as described in the first aspect;

[0018] The household gas leakage monitoring devices are respectively arranged in each room of each gas monitoring area;

[0019] The cloud platform server is connected to each of the local area network servers respectively; the local area network server is connected to each household gas leak detection and monitoring device within the gas monitoring area.

[0020] The third aspect of the present invention provides a household gas leakage monitoring method based on the Internet of Things applied to the household gas leakage monitoring system based on the Internet of Things as described in the second aspect, comprising:

[0021] The data of the gas leakage monitoring component in the room is collected through the Internet of Things gateway to obtain gas status data and identify gas leakage faults. After the gas leakage fault is identified, the data upload mode is switched to the remote transmission mode, the gas status data and the fault alarm instruction are uploaded to the corresponding local area network server, and the control instruction is sent to the gas leakage monitoring component;

[0022] Receive gas status data and fault alarm instructions uploaded by the IoT gateway that identifies the gas leakage fault in the gas monitoring area through the local area network server, output the alarm instruction and upload the gas status data to the cloud platform server; in response to the user's emergency repair operation in the room where the gas leakage fault is located, perform authorization verification on the user and obtain the temporary secret key of the door lock from the smart door lock of the gas leakage monitoring component through the IoT gateway in the room and output it after the verification is passed;

[0023] The gas status data uploaded by each of the LAN servers is received through the cloud platform server; multi-sensor data fusion is performed based on the trained BP neural network model according to the gas status data to obtain the safety assessment result of the corresponding room and send the safety assessment result to the LAN server corresponding to the room.

[0024] Furthermore, the gas status data includes gas concentration data of each sampling point on the gas pipeline, flame status data of each gas-using equipment, indoor temperature data, gas flow of the gas pipeline, human body sensing data of each area in the room, and door status data.

[0025] Further, the identifying of the gas leakage fault includes:

[0026] When the IoT gateway determines that each of the gas concentration data is greater than a preset concentration threshold, a gas leakage fault occurs;

[0027] When the flame state data is judged by the IoT gateway to be flame-existing and the gas flow data is greater than the first preset flow threshold, a gas leakage fault occurs; or, when the flame state data is judged by the IoT gateway to be flame-free and the gas flow data is greater than the second preset flow threshold, a gas leakage fault occurs;

[0028] The sending of a control instruction to the gas leakage monitoring component comprises:

[0029] The Internet of Things gateway drives the electric control switch to open the exhaust device and turn off the power supply of other electrical appliances except the exhaust device; and drives the solenoid valves of each device and the entrance solenoid valve to close.

[0030] Furthermore, when the gas-using device is at least one gas stove, the method further comprises:

[0031] When the flame status data is judged to be flamed and each microwave sensor shows that there is no one, the solenoid valves of each device are driven to close and the entrance solenoid valve is driven to close.

[0032] Further, when the data of the gas leakage monitoring component in the room is collected by the Internet of Things gateway to obtain the gas status data and identify the gas leakage fault, if the gas leakage fault is not identified, the method further includes:

[0033] Immediately switch the data upload mode to the near transmission mode; and upload the gas status data to the local control terminal and the corresponding LAN server through the coordinator;

[0034] The local control terminal monitors each of the indoor Internet of Things devices through the coordinator;

[0035] The local area network server receives the gas status data uploaded by each IoT gateway in the gas monitoring area and uploads the gas status data to the cloud platform server.

[0036] The fourth aspect of the present invention provides a communication method applied to the household gas leakage monitoring system based on the Internet of Things as described in the second aspect. When the Internet of Things gateway is in the remote transmission mode, the Internet of Things gateway determines whether the Internet of Things gateway fails to upload data to the corresponding local area network server or the corresponding local area network server fails to upload data to the cloud platform server. If so, the data is uploaded to at least one preset filing local area network server; the preset filing local area network server is selected from one or more local area network servers in other gas monitoring areas except the local area network server.

[0037] The beneficial effects of the present invention are as follows:

[0038] The present invention constructs multiple local area networks through a local area network server and household gas leakage monitoring devices in the gas monitoring area, and the cloud platform server obtains data of household gas leakage monitoring devices in each gas monitoring area through the local area network server; and data transmission in the local area network is usually faster than through the Internet, because the data transmission delay in the local area network is lower and the bandwidth utilization rate is higher. In the same local area network, the data transmission rate can be guaranteed and is not affected by the fluctuation of the external network bandwidth. Therefore, the efficiency of data transmission is guaranteed and the efficiency of fault identification of the system is improved. The local area network environment is relatively stable, and it is not susceptible to external network attacks or interference during data transmission, thereby ensuring the stability of data transmission. By transmitting data through the local area network, data isolation within a specific range can be achieved, reducing the risk of data leakage. Compared with the external network, data transmission within the local area network is more controllable and safe. On this basis, the present invention sets an isolation network gate to further improve the security of the local area network system. The system provides a hardware foundation for gas leak emergency repair linkage in the local area network.

[0039] In addition to the gas concentration sensor, the present invention also provides a gas flow sensor and an indoor temperature sensor to monitor the gas leakage in the room from multiple aspects, thereby improving the accuracy of gas leakage fault identification; and uses a microwave sensor to identify whether there is someone in the room; wherein each microwave sensor is evenly arranged in the room. On the other hand, this embodiment provides multiple gas concentration sensors on the gas pipeline in the room. When a gas leak occurs, according to the diffusion effect of the gas concentration, this embodiment can accurately identify the location of the gas leak based on the data of each gas concentration sensor, making it convenient for maintenance personnel to go to the site for maintenance.

[0040] In the present invention, when the LAN server receives a fault alarm instruction, the staff or repair personnel operating the LAN server will verify the authorization of the repair operation in the room where the gas leak occurs, and obtain the key of the smart door lock of the room where the gas leak occurs after the authorization is passed, thereby avoiding the situation where the repair personnel need to break the door for repair due to no one in the room, improving the repair efficiency, timely discovering and handling the gas leak fault, avoiding further losses caused by the gas leak, and also reducing losses for the room owner. At the same time, the staff or repair personnel operating the LAN server will determine the location of the gas leak based on the concentration of each gas concentration sensor in the corresponding room, which is convenient for the repair personnel to carry out repairs;

[0041] The staff or repair personnel operating the LAN server obtains microwave sensor data based on the gas status data to determine whether there is anyone inside; the repair personnel can determine whether the people in the room are in danger based on the gas concentration and whether there is anyone in the room, which is convenient for rescuing trapped people. Finally, the present invention evaluates the safety of the corresponding room through the cloud platform server, and the repair personnel or staff formulates a corresponding repair plan based on the safety assessment structure. For example, the higher the safety assessment level, the more dangerous the room is, and the more repair personnel and repair equipment are required.

[0042] In the present invention, when the Internet of Things gateway fails to upload data to the corresponding LAN server or the corresponding LAN server fails to upload data to the cloud platform server, the Internet of Things gateway obtains the pre-stored record LAN server data to ensure that the fault data can be uploaded to the LAN server in time, so that the maintenance personnel or other staff can timely discover and respond to the gas leakage fault and carry out emergency repairs. The record LAN server can be a LAN server around the gas monitoring area where the LAN server is located. This makes data transmission more stable and reliable. BRIEF DESCRIPTION OF THE DRAWINGS

[0043] The specific implementation modes of the present invention are further described in detail below in conjunction with the accompanying drawings.

[0044] Figure 1A schematic diagram showing the structure of the household gas leakage monitoring system based on the Internet of Things of the present invention when the Internet of Things gateway identifies a fault;

[0045] Figure 2 The present invention shows Figure 1 The schematic diagram of the structure of the household gas leakage monitoring system based on the Internet of Things with an isolation network gate;

[0046] Figure 3 A schematic diagram showing the structure of the household gas leakage monitoring device of the present invention when the Internet of Things gateway identifies a fault;

[0047] Figure 4 A flow chart showing the method for monitoring household gas leakage based on the Internet of Things of the present invention when the Internet of Things gateway identifies a fault;

[0048] Figure 5 A schematic diagram showing the structure of the household gas leakage monitoring system based on the Internet of Things of the present invention when the Internet of Things gateway does not identify a fault;

[0049] Figure 6 A schematic diagram showing the structure of the household gas leakage monitoring device of the present invention when the Internet of Things gateway does not identify a fault;

[0050] Figure 7 A flow chart showing the method for monitoring household gas leakage based on the Internet of Things of the present invention when the Internet of Things gateway does not identify a fault;

[0051] Figure 8 A schematic diagram showing the structure of the Internet of Things gateway or local area network server when data transmission fails according to the present invention;

[0052] Fig. 9 A schematic diagram showing the structure of a computer system for implementing the apparatus provided by an embodiment of the present invention is shown. DETAILED DESCRIPTION

[0053] In order to explain the present invention more clearly, the present invention is further described below in conjunction with embodiments and drawings. Similar components in the drawings are represented by the same reference numerals. It should be understood by those skilled in the art that the content specifically described below is illustrative rather than restrictive, and the protection scope of the present invention should not be limited thereto.

[0054] Example 1

[0055] This embodiment provides a household gas leak monitoring system based on the Internet of Things. Figure 1 As shown, including:

[0056] Cloud platform server, multiple local area network servers and home gas leak monitoring devices respectively set up in each gas monitoring area;

[0057] Household gas leak monitoring devices are installed in each room of each gas monitoring area;

[0058] The cloud platform server is connected to each local area network server respectively; the local area network server is connected to each household gas leak detection and monitoring device within the gas monitoring area.

[0059] More specifically, Figure 2 As shown, the household gas leakage monitoring system based on the Internet of Things also includes an isolation network gate corresponding to the LAN server; the cloud platform server is connected to each LAN server through the corresponding isolation network gate. In this embodiment, the isolation network gate completely isolates the internal network and the external network by physical means, cutting off the direct connection between the two, thereby effectively preventing potential threats from the external network to the internal network, such as malicious attacks, virus transmission, etc. This physical isolation method is more thorough than logical isolation and can provide a higher level of security.

[0060] In this embodiment, multiple local area networks are constructed through the local area network server and the household gas leakage monitoring devices in the gas monitoring area, and the cloud platform server obtains the data of the household gas leakage monitoring devices in each gas monitoring area through the local area network server; and the data transmission in the local area network is usually faster than through the Internet, because the data transmission delay in the local area network is lower and the bandwidth utilization rate is higher. In the same local area network, the data transmission rate can be guaranteed and is not affected by the fluctuation of the external network bandwidth. Therefore, the efficiency of data transmission is guaranteed and the efficiency of fault identification of the system is improved. The local area network environment is relatively stable, and it is not susceptible to external network attacks or interference during data transmission, thereby ensuring the stability of data transmission. By transmitting data through the local area network, data isolation within a specific range can be achieved, reducing the risk of data leakage. Compared with the external network, data transmission within the local area network is more controllable and safe. On this basis, the present invention sets an isolation network gate to further improve the security of the local area network system. The system provides a hardware foundation for gas leak repair linkage in the local area network.

[0061] Example 2

[0062] This embodiment is the household gas leakage monitoring device in Embodiment 1;

[0063] like Figure 3 As shown, this embodiment is mainly used for switching the data upload mode to the remote transmission mode after the Internet of Things gateway identifies a gas leakage fault. This embodiment provides a household gas leakage monitoring device based on the Internet of Things, including a gas pipeline arranged in a room and at least one gas-using device connected to the gas pipeline, and also includes:

[0064] Gas leak monitoring components and IoT gateways are installed in the rooms respectively;

[0065] The gas leakage monitoring component includes a plurality of gas concentration sensors respectively arranged at preset sampling points of the gas pipeline in the room, a house entrance solenoid valve arranged at the air inlet end of the gas pipeline in the room, an equipment solenoid valve arranged between the gas pipeline in the room and the gas-using equipment, a flame sensor arranged on the gas-using equipment for monitoring the flame state of the gas-using equipment, an indoor temperature sensor arranged close to the gas pipeline in the room, a gas flow sensor arranged on the gas pipeline in the room, a plurality of electric control switches arranged in the house entrance power supply circuit of the room for controlling the power supply of various electrical appliances including the exhaust device, a plurality of microwave sensors evenly arranged on the top of the room and a smart door lock;

[0066] The extension end of the IoT gateway is connected to each gas concentration sensor, each flame sensor, each microwave sensor, each electric control switch, gas flow sensor, indoor temperature sensor, home solenoid valve, each equipment solenoid valve and smart door lock;

[0067] The IoT gateway is a programmable IoT gateway with two power supply modes: battery power supply and external power supply, and two data transmission modes: short transmission mode and long transmission mode.

[0068] In addition to the gas concentration sensor, this embodiment also has a gas flow sensor and an indoor temperature sensor to monitor the gas leakage in the room from multiple aspects to improve the accuracy of gas leakage fault identification; and a microwave sensor is used to identify whether there is someone in the room; wherein each microwave sensor is evenly arranged in the room. On the other hand, this embodiment has multiple gas concentration sensors arranged on the gas pipeline in the room. When a gas leak occurs, according to the diffusion effect of the gas concentration, this embodiment can accurately identify the location of the gas leak according to the data of each gas concentration sensor, which is convenient for maintenance personnel to go to the site for maintenance.

[0069] More specifically, the gas-using equipment may be a gas stove, a gas water heater, a gas furnace, etc. The exhaust device may be a range hood linked to the gas stove, wherein the exhaust fan of the range hood is preferably an explosion-proof exhaust fan.

[0070] More specifically, the microwave sensor is a millimeter wave human presence sensor.

[0071] More specifically, the IoT gateway includes a processor and a controller: a high-performance microprocessor or controller is used as the core brain, responsible for executing instructions, processing data, and coordinating the work of other hardware components. The choice of processor depends on the required processing speed and memory size to meet the gateway's requirements for data processing and real-time performance; the data transmission module uses a 4G cellular communication module and a ZigBee module; the power management module manages two modes: battery power supply and external power supply. This module can intelligently switch the power supply mode to ensure that when the external power supply is cut off, the battery can seamlessly take over the power supply task to ensure the normal operation of the gateway. At the same time, the power management module is also responsible for battery charging and power monitoring to ensure the health and service life of the battery.

[0072] In the battery-powered mode, a rechargeable battery such as a lithium battery or a nickel-metal hydride battery is built into the IoT gateway. When the external power supply is powered off or cannot be accessed, the battery will automatically take over the power supply task and provide the necessary power for the gateway. When the external power supply is available, the IoT gateway will give priority to the external power supply. The external power supply converts AC power into DC power through a power adapter to provide stable and reliable power for the gateway. At the same time, the power management module will also charge the battery. In this embodiment, the near transmission mode uses the ZigBee module for data transmission. This mode is suitable for scenarios where the distance between devices is short, the data transmission volume is not large, and the real-time requirements are high. The energy consumption in the near transmission mode is low and it is suitable for indoor IoT smart home systems. The far transmission mode uses 4G cellular communication modules, LoRaWAN, etc.) or the Internet for data transmission. This mode is suitable for scenarios where the distance between devices is long, the data transmission volume is large, and the real-time requirements are not high. In the far transmission mode, the gateway can send the collected data to the cloud or remote server through a wireless network for processing and analysis. At the same time, the IoT gateway can also receive instructions and data from the cloud or remote server to achieve remote control and management of the device.

[0073] The analog input end of the Internet of Things gateway is respectively connected to the gas concentration sensor, gas flow sensor and indoor temperature sensor; the digital output end is respectively connected to the control end of the entrance solenoid valve, the control end of the solenoid valve of each device and each electric control switch; the digital input end is respectively connected to each microwave sensor and each flame sensor; the Internet of Things gateway is connected to the smart door lock.

[0074] More specifically, data can be transmitted between the IoT gateway and the smart door lock via wireless methods such as the 4G communication protocol or via wired methods such as the 485 communication protocol. There is no restriction here. The smart door lock can also be battery-powered to ensure that data can be transmitted even when the power is off in the room.

[0075] The IoT gateway adopts ZigBee communication protocol in near transmission mode and 4G communication protocol in far transmission mode;

[0076] In this embodiment, the ZigBee communication protocol has a low transmission rate and transmits a small amount of data, so the signal transmission and reception time is very short. In non-working mode, the nodes of the ZigBee communication protocol will enter a dormant state, thereby further saving power. This allows the battery working time of the ZigBee node to be as long as 6 months to 2 years, and even in some low duty cycle applications, the battery life can exceed ten years. The ZigBee protocol greatly simplifies the communication process and reduces the requirements for node storage and computing power. This makes the cost of ZigBee devices relatively low and suitable for large-scale deployment. However, ZigBee operates at a lower rate of 20-250kbit / s, which is suitable for application scenarios where data is transmitted at a low rate. Its point-to-point communication distance is usually between 10-100 meters. ZigBee provides data integrity check and authentication functions, and uses AES symmetric encryption to protect data, effectively preventing data from being tampered with or stolen. ZigBee network can support a large number of nodes. A ZigBee network node can include up to 255 ZigBee network nodes. If a network coordinator is used, the entire network can support more than 64,000 ZigBee network nodes. ZigBee has a fast response speed. Generally, it only takes 15ms to switch from sleep to working state, and it only takes 30ms for a node to connect to the network.

[0077] On the other hand, the data transmission speed of 4G communication protocol is much higher than that of 3G and other wireless communication technologies, which can meet the needs of users for high-speed data transmission and support long-distance data transmission. It can provide more stable and reliable communication services. In addition, the spectrum resources of 4G communication are more abundant, which can provide higher data transmission rate and lower network delay.

[0078] Example 3

[0079] like Figure 4 As shown, this embodiment is a household gas leakage monitoring method based on the Internet of Things applied in Example 2, and the method includes:

[0080] Step S11: Collect data of the gas leakage monitoring component in the room through the Internet of Things gateway to obtain gas status data and identify the gas leakage fault. After identifying the gas leakage fault, switch the data upload mode to the remote transmission mode, upload the gas status data and fault alarm instructions to the corresponding LAN server, and send a control instruction to the gas leakage monitoring component;

[0081] Step S12: receiving the gas status data and fault alarm instruction uploaded by the IoT gateway that identifies the gas leakage fault in the gas monitoring area through the local area network server, outputting the alarm instruction and uploading the gas status data to the cloud platform server; in response to the user's emergency repair operation on the room where the gas leakage fault is located, performing authorization verification on the user and obtaining the temporary secret key of the door lock from the smart door lock of the gas leakage monitoring component through the IoT gateway in the room and outputting it after the verification is passed;

[0082] Step S13, receiving the gas status data uploaded by each LAN server through the cloud platform server; performing multi-sensor data fusion based on the trained BP neural network model according to the gas status data, obtaining the security assessment result of the corresponding room and sending the security assessment result to the LAN server corresponding to the room.

[0083] In this embodiment, when the LAN server receives a fault alarm instruction, the staff or repair personnel operating the LAN server will verify the authorization of the repair operation in the room where the gas leak occurs, and obtain the key of the smart door lock of the room where the gas leak occurs after the authorization is passed, thereby avoiding the situation where the repair personnel need to break into the room for repair due to no one in the room, improving the repair efficiency, timely discovering and handling the gas leak, avoiding further losses caused by the gas leak, and also reducing losses for the room owner. At the same time, the staff or repair personnel operating the LAN server determine the location of the gas leak based on the concentration of each gas concentration sensor in the corresponding room, which is convenient for the repair personnel to carry out repairs;

[0084] The staff or repair personnel operating the LAN server obtains microwave sensor data based on the gas status data to determine whether there is anyone inside; the repair personnel can determine whether the people in the room are in danger based on the gas concentration and whether there is anyone in the room, which is convenient for rescuing trapped people. Finally, the present invention evaluates the safety of the corresponding room through the cloud platform server, and the repair personnel or staff formulates a corresponding repair plan based on the safety assessment structure. For example, the higher the safety assessment level, the more dangerous the room is, and the more repair personnel and repair equipment are required.

[0085] More specifically, the local area network server is also used to pre-process the gas status data uploaded by each IoT gateway in the gas monitoring area. Specifically, this embodiment uses mean filtering, Gaussian filtering and Kalman filtering algorithms to pre-process the gas status data.

[0086] More specifically, in response to the user's emergency repair operation on the room where the gas leak fault is located, the method of authorizing and verifying the user includes identity verification, authority verification and gateway verification;

[0087] The cloud platform server performs identity authentication including one or more of the following:

[0088] Face recognition: Face recognition is a biometric technology that authenticates people based on their facial features. It captures facial images through a camera and automatically detects and tracks faces in the image.

[0089] Then perform facial recognition on the detected face.

[0090] Fingerprint recognition: Identity verification is performed by identifying and comparing the lines on the surface of the finger skin. Since each person's fingerprint is unique, fingerprint recognition has high accuracy and reliability.

[0091] Iris recognition: Scan the human eye through a standard iris collector, extract the iris image, and compare it with the information in the image library to achieve identity verification.

[0092] Retinal recognition: Laser is used to illuminate the eyeball to obtain retinal features for identity verification. Retinal recognition technology requires high accuracy of the equipment.

[0093] Palmprint recognition: It is based on the lines on the palm of your hand. As a supplement to fingerprint recognition, it has unique recognition features and higher accuracy.

[0094] Voice recognition: Voice recognition analyzes the voice characteristics of an individual to authenticate the identity. Each person's voice has its own unique timbre, pitch, speaking speed and other characteristics, so voice recognition also has a high degree of accuracy.

[0095] After the identity is identified, the authority verification is performed, and the preset personnel database is called to obtain the authority of the identity personnel to determine whether the identity personnel has the emergency repair authority; for example, the gas staff and property staff have the emergency repair authority, and the property cleaning staff do not have the authority. In addition, it is also necessary to verify whether the gateway in the room selected by the user when performing emergency repair operations on the room where the gas leak is located has sent a fault alarm instruction. If it has been sent, the temporary secret key of the door lock is obtained from the smart door lock of the gas leak monitoring component through the IoT gateway in the room and output. For emergency repair personnel to carry out emergency repairs.

[0096] The gas status data includes the gas concentration data of each sampling point on the gas pipeline, the flame status data of each gas-using equipment, the indoor temperature data, the gas flow of the gas pipeline, the human body sensing data of each area in the room and the door status data.

[0097] Identifying gas leak faults includes:

[0098] When the IoT gateway determines that the gas concentration data is greater than the preset concentration threshold, a gas leakage fault occurs;

[0099] When the flame state data is judged by the IoT gateway to be flame and the gas flow data is greater than the first preset flow threshold, a gas leakage fault occurs; or, when the flame state data is judged by the IoT gateway to be flameless and the gas flow data is greater than the second preset flow threshold, a gas leakage fault occurs;

[0100] The control instructions sent to the gas leak monitoring component include:

[0101] The IoT gateway drives the electric control switch to open the exhaust device and turn off the power supply to other electrical appliances except the exhaust device; drives the solenoid valves of each device and the entrance solenoid valve to close.

[0102] In this embodiment, when the IoT gateway identifies a gas leakage fault, it immediately links with the electronic control equipment to discharge the leaked gas by opening the exhaust device to reduce the indoor gas concentration; by shutting down other electrical equipment, it prevents the electrical equipment from generating sparks when in use and igniting the gas, thereby threatening indoor safety.

[0103] When the gas-using device is at least one gas stove, the method further comprises:

[0104] When the flame status data is judged to be flamed and each microwave sensor shows that there is no one, the solenoid valves of each device are driven to close and the entrance solenoid valve is driven to close.

[0105] Example 4

[0106] This embodiment is mainly used to collect the data of the gas leakage monitoring component in the room through the Internet of Things gateway to obtain the gas status data, and identify the gas leakage fault, when the gas leakage fault is not identified;

[0107] like Figure 5 and Figure 6 As shown, the household gas leakage monitoring device also includes:

[0108] A coordinator, a local control terminal, and at least one indoor IoT device;

[0109] The coordinator is connected to the local control terminal, each indoor IoT device and the IoT gateway.

[0110] More specifically, the coordinator is connected to the ZigBee module of the IoT gateway.

[0111] In this embodiment, by setting a coordinator, the Internet of Things gateway can be connected to the smart home system composed of other indoor Internet of Things devices and local control terminals in the room, which is more versatile. At the same time, this embodiment uses the ZigBee module for data transmission, has better energy-saving performance, and is more suitable for daily data transmission.

[0112] More specifically, based on the gas status data and the trained BP neural network model, multi-sensor data fusion is performed to obtain the safety assessment results of the corresponding room, including:

[0113] Model loading: Load the trained BP neural network model on the cloud platform server to process multiple sensor inputs and output an evaluation result indicating the safety level (such as safe, warning, dangerous).

[0114] Data fusion: The gas status data is used as input and fused through the BP neural network. The neural network automatically learns the complex relationships between the sensor data in the gas status data and performs safety assessment based on these relationships.

[0115] Result generation: The neural network outputs the safety assessment result of each room, which is a safety level score or a classification label such as "safe", "warning", or "dangerous".

[0116] Example 5

[0117] like Figure 7 As shown, this embodiment is a household gas leakage monitoring method based on the Internet of Things applied to Example 4. The method includes collecting gas leakage monitoring component data in the room through the Internet of Things gateway to obtain gas status data and identify a gas leakage fault. If no gas leakage fault is identified, the method further includes:

[0118] Step S21, immediately switch the data upload mode to the near transmission mode; and upload the gas status data to the local control terminal and the corresponding LAN server through the coordinator;

[0119] Step S22: The local control terminal monitors each indoor IoT device through the coordinator;

[0120] Step S23: Receive the gas status data uploaded by each IoT gateway in the gas monitoring area through the local area network server and upload the gas status data to the cloud platform server.

[0121] This embodiment adopts the near transmission mode, which can be specifically the ZigBee communication protocol as in Embodiment 4. This embodiment selects the ZigBee communication protocol with lower energy consumption and stronger versatility as the protocol for daily data transmission when the IoT gateway does not detect the fault, so as to facilitate access to the existing IoT-based smart home system, have stronger versatility and can also reduce the data collection burden of the LAN server. At the same time, the gas status data can also be used as one of the monitoring data of the local control terminal for users to view and monitor, so that users can grasp the indoor gas data in time. When the IoT gateway detects that a gas fault has occurred, in order to ensure the safety of the room, it is necessary to immediately disconnect the indoor power supply to avoid the expansion of the gas leakage fault. At this time, the smart home system composed of the local terminal, indoor IoT devices and coordinator will be powered off (to avoid accidents, as many devices as possible need to be powered off). Affected by the power outage, the data transmission of each device on the communication link will be interrupted. Therefore, when a gas leakage fault occurs, this embodiment adopts the 4G data transmission mode, which has stable data transmission and faster transmission rate, and improves the data acquisition speed and response speed of the LAN server. At this time, except for the room where the gas leak occurred, which uses 4G data transmission, the IoT gateways in other rooms use the ZigBee communication protocol for communication. The amount of data uploaded by the coordinator is relatively small, so this method has a relatively small load on the entire network system.

[0122] Example 6

[0123] like Figure 8 As shown, this embodiment is a communication method applied to a household gas leakage monitoring system based on the Internet of Things as in Example 1: when the Internet of Things gateway is in remote transmission mode, the Internet of Things gateway determines whether the Internet of Things gateway fails to upload data to the corresponding LAN server or the corresponding LAN server fails to upload data to the cloud platform server. If so, the data is uploaded to at least one preset filing LAN server; the preset filing LAN server is selected from one or more LAN servers in other gas monitoring areas except the LAN server.

[0124] More specifically, the method of determining, by the IoT gateway, whether the IoT gateway fails to upload data to the corresponding LAN server or the corresponding LAN server fails to upload data to the cloud platform server includes:

[0125] The IoT gateway uses ping to check whether the network connection between the IoT gateway and the LAN server is unobstructed. It also monitors the status of the network port of the corresponding LAN server to determine whether the data transmission port is open and not blocked.

[0126] After sending data, the IoT gateway waits for a confirmation response from the corresponding LAN server. If no response is received within the set time, it is considered that the IoT gateway has failed to upload data to the corresponding LAN server.

[0127] When the local area network server fails to upload data to the cloud platform server, an alarm notification is sent to the Internet of Things gateway. At this time, the Internet of Things gateway determines that the corresponding local area network server fails to upload data to the cloud platform server.

[0128] In this embodiment, when the IoT gateway fails to upload data to the corresponding LAN server or the corresponding LAN server fails to upload data to the cloud platform server, the IoT gateway obtains the pre-stored record LAN server data to ensure that the fault data can be uploaded to the LAN server in time, so that the maintenance personnel or other staff can timely discover and respond to the gas leakage fault and carry out emergency repairs. The record LAN server can be a LAN server around the gas monitoring area where the LAN server is located. This makes data transmission more stable and reliable.

[0129] like Fig. 9 As shown, a computer system suitable for implementing the cloud platform server provided in the above embodiment includes a central processing module (CPU), which can perform various appropriate actions and processes according to a program stored in a read-only memory (ROM) or a program loaded from a storage portion into a random access memory (RAM). In RAM, various programs and data required for the operation of the computer system are also stored. The CPU, ROM, and RAM are connected to each other via a bus. An input / output (I / O) interface is also connected to the bus.

[0130] The following components are connected to the I / O interface: an input part including a keyboard, a mouse, etc.; an output part including a liquid crystal display (LCD), etc. and a speaker, etc.; a storage part including a hard disk, etc.; and a communication part including a network interface card such as a LAN card, a modem, etc. The communication part performs communication processing via a network such as the Internet. A drive is also connected to the I / O interface as needed. Removable media, such as a magnetic disk, an optical disk, a magneto-optical disk, a semiconductor memory, etc., are installed on the drive as needed so that the computer program read therefrom is installed into the storage part as needed.

[0131] In particular, according to this embodiment, the process described in the flowchart above can be implemented as a computer software program. For example, this embodiment includes a computer program product, which includes a computer program tangibly contained on a computer-readable medium, and the computer program includes program code for executing the method shown in the flowchart. In such an embodiment, the computer program can be downloaded and installed from a network through a communication part, and / or installed from a removable medium.

[0132] The flow chart and schematic diagram in the accompanying drawings illustrate the possible architecture, function and operation of the system, method and computer program product of the present embodiment. In this regard, each square box in the flow chart or schematic diagram can represent a part of a module, program segment or code, and a part of the above-mentioned module, program segment or code contains one or more executable instructions for realizing the specified logical function. It should also be noted that in some alternative implementations, the functions marked in the square box can also occur in a sequence different from that marked in the accompanying drawings. For example, two square boxes represented in succession can actually be executed substantially in parallel, and they can sometimes be executed in the opposite order, depending on the functions involved. It should also be noted that each square box in the schematic diagram and / or flow chart, and the combination of the square boxes in the schematic diagram and / or flow chart can be implemented with a dedicated hardware-based system that performs a specified function or operation, or can be implemented with a combination of dedicated hardware and computer instructions.

[0133] This embodiment also provides a non-volatile computer storage medium, which can be the non-volatile computer storage medium included in the above-mentioned device in the above-mentioned embodiment, or can be a non-volatile computer storage medium that exists independently and is not installed in the terminal. The above-mentioned non-volatile computer storage medium stores one or more programs, and when the above-mentioned one or more programs are executed by a device, the above-mentioned device: receives the gas status data uploaded by each local area network server through the cloud platform server; performs multi-sensor data fusion based on the trained BP neural network model according to the gas status data, obtains the safety assessment result of the corresponding room, and sends the safety assessment result to the local area network server corresponding to the room.

[0134] In the description of the present invention, it should be noted that the terms "upper", "lower", etc. indicate positions or positional relationships based on the positions or positional relationships shown in the accompanying drawings, and are only for the convenience of describing the present invention and simplifying the description, rather than indicating or implying that the device or element referred to must have a specific position, be constructed and operated in a specific position, and therefore cannot be understood as a limitation on the present invention. Unless otherwise clearly specified and limited, the terms "installed", "connected", and "connected" should be understood in a broad sense, for example, it can be a fixed connection, a detachable connection, or an integral connection; it can be a mechanical connection or an electrical connection; it can be a direct connection, or it can be an indirect connection through an intermediate medium, or it can be a connection between the two elements. For those of ordinary skill in the art, the specific meanings of the above terms in the present invention can be understood according to the specific circumstances.

[0135] It should also be noted that, in the description of the present invention, relational terms such as first and second, etc. are only used to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Moreover, the terms "include", "comprise" or any other variants thereof are intended to cover non-exclusive inclusion, so that a process, method, article or device including a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, method, article or device. In the absence of further restrictions, an element defined by the statement "comprises a ..." does not exclude the presence of other identical elements in the process, method, article or device including the element.

[0136] Obviously, the above embodiments of the present invention are merely examples for clearly illustrating the present invention, and are not limitations on the embodiments of the present invention. For those skilled in the art, other different forms of changes or modifications can be made based on the above description. It is impossible to list all the embodiments here. All obvious changes or modifications derived from the technical solution of the present invention are still within the protection scope of the present invention.

Claims

1. A household gas leak monitoring device based on the Internet of Things, comprising a gas pipeline arranged in a room and at least one gas-using device connected to the gas pipeline, characterized in that: Also includes: Gas leak monitoring components and IoT gateways installed in the room; The gas leakage monitoring component includes a plurality of gas concentration sensors respectively arranged at preset sampling points of the gas pipeline in the room, a house entrance solenoid valve arranged at the gas inlet end of the gas pipeline in the room, an equipment solenoid valve arranged between the gas pipeline in the room and the gas-using equipment, a flame sensor arranged on the gas-using equipment for monitoring the flame state of the gas-using equipment, an indoor temperature sensor arranged close to the gas pipeline in the room, a gas flow sensor arranged on the gas pipeline in the room, a plurality of electric control switches arranged in the house entrance power supply circuit of the room for controlling the power supply of various electrical appliances including the exhaust device, a plurality of microwave sensors evenly arranged on the top of the room, and a smart door lock; The extension end of the Internet of Things gateway is respectively connected to each gas concentration sensor, each flame sensor, each microwave sensor, each electric control switch, a gas flow sensor, an indoor temperature sensor, an entry solenoid valve, each device solenoid valve and a smart door lock; The Internet of Things gateway is a programmable Internet of Things gateway with two power supply modes: battery power supply and external power supply power supply, and two data transmission modes: short transmission mode and long transmission mode.

2. The household gas leakage monitoring device based on the Internet of Things according to claim 1 is characterized in that: The analog input end of the Internet of Things gateway is respectively connected to each gas concentration sensor, gas flow sensor and indoor temperature sensor; the digital output end is respectively connected to the control end of the household solenoid valve, the control end of each equipment solenoid valve and each electric control switch; the digital input end is respectively connected to each microwave sensor and each flame sensor; the Internet of Things gateway is connected to the smart door lock.

3. The household gas leakage monitoring device based on the Internet of Things according to claim 1 is characterized in that: The IoT gateway adopts ZigBee communication protocol in short-distance transmission mode and 4G communication protocol in long-distance transmission mode; The household gas leakage monitoring device also includes: A coordinator, a local control terminal, and at least one indoor IoT device; The coordinator is respectively connected to the local control terminal, each indoor IoT device and the IoT gateway.

4. A household gas leak monitoring system based on the Internet of Things, characterized in that: include: A cloud platform server, a plurality of local area network servers respectively arranged in each gas monitoring area, and a household gas leakage monitoring device applied to any one of claims 1 to 3; The household gas leakage monitoring devices are respectively arranged in each room of each gas monitoring area; The cloud platform server is connected to each of the local area network servers respectively; the local area network server is connected to each household gas leak detection and monitoring device within the gas monitoring area.

5. A method for monitoring household gas leakage based on the Internet of Things applied to the household gas leakage monitoring system based on the Internet of Things as claimed in claim 4, characterized in that: The data of the gas leakage monitoring component in the room is collected through the Internet of Things gateway to obtain gas status data and identify gas leakage faults. After the gas leakage fault is identified, the data upload mode is switched to the remote transmission mode, the gas status data and the fault alarm instruction are uploaded to the corresponding local area network server, and the control instruction is sent to the gas leakage monitoring component; Receive the gas status data and fault alarm instructions uploaded by the IoT gateway that identifies the gas leakage fault in the gas monitoring area through the local area network server, output the alarm instruction and upload the gas status data to the cloud platform server; in response to the user's emergency repair operation in the room where the gas leakage fault is located, perform authorization verification on the user and obtain the temporary secret key of the door lock from the smart door lock of the gas leakage monitoring component through the IoT gateway in the room and output it after the verification is passed; The gas status data uploaded by each of the LAN servers is received through the cloud platform server; multi-sensor data fusion is performed based on the trained BP neural network model according to the gas status data to obtain the safety assessment result of the corresponding room and send the safety assessment result to the LAN server corresponding to the room.

6. The method for monitoring household gas leakage based on the Internet of Things according to claim 5, characterized in that: The gas status data includes gas concentration data of each sampling point on the gas pipeline, flame status data of each gas-using equipment, indoor temperature data, gas flow of the gas pipeline, human body sensing data of each area in the room and door status data.

7. The method for monitoring household gas leakage based on the Internet of Things according to claim 6, characterized in that: The identifying of gas leakage fault comprises: When the IoT gateway determines that each of the gas concentration data is greater than a preset concentration threshold, a gas leakage fault occurs; When the flame state data is judged by the IoT gateway to be flame-existing and the gas flow data is greater than the first preset flow threshold, a gas leakage fault occurs; or, when the flame state data is judged by the IoT gateway to be flame-free and the gas flow data is greater than the second preset flow threshold, a gas leakage fault occurs; The sending of a control instruction to the gas leakage monitoring component comprises: The Internet of Things gateway drives the electric control switch to open the exhaust device and turn off the power supply of other electrical appliances except the exhaust device, and drives the solenoid valves of each device and the entrance solenoid valve to close.

8. The method for monitoring household gas leakage based on the Internet of Things according to claim 7, characterized in that: When the gas-using device is at least one gas stove, the method further comprises: When the flame status data is judged to be flamed and each microwave sensor shows that there is no one, the solenoid valves of each device are driven to close and the entrance solenoid valve is driven to close.

9. The method for monitoring household gas leakage based on the Internet of Things according to claim 5, characterized in that: When the data of the gas leakage monitoring component in the room is collected by the Internet of Things gateway to obtain the gas status data and identify the gas leakage fault, if the gas leakage fault is not identified, the method further includes: Immediately switch the data upload mode to the near transmission mode; and upload the gas status data to the local control terminal and the corresponding LAN server through the coordinator; The local control terminal monitors each of the indoor Internet of Things devices through the coordinator; The local area network server receives the gas status data uploaded by each IoT gateway in the gas monitoring area and uploads the gas status data to the cloud platform server.

10. A communication method applied to the household gas leakage monitoring system based on the Internet of Things as claimed in claim 4, characterized in that: The Internet of Things gateway is used to determine whether the Internet of Things gateway fails to upload data to the corresponding LAN server or the corresponding LAN server fails to upload data to the cloud platform server. If so, the data is uploaded to at least one preset filing LAN server; the preset filing LAN server is selected from one or more LAN servers in other gas monitoring areas except the LAN server.

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