CN-122027382-A - Wi-Fi CSI sensing-based smoke machine linkage method, equipment and medium

Abstract

The invention discloses a smoke machine linkage method, equipment and medium based on Wi-Fi CSI perception, and relates to the technical field of intelligent control of smoke machines, wherein the method comprises the steps of collecting channel state information CSI data of a Wi-Fi module when the smoke machine works; based on the data, signal fluctuation caused by human body activity in the operation area of the smoke machine is analyzed, the existence state of the person is judged, a predefined linkage control instruction is triggered according to the existence state of the person, and the working parameters of the smoke machine are adjusted according to the instruction. The multiplexing smoke machine provided by the invention has the advantages that the existing Wi-Fi module is used for realizing sensing, a sensor is not required to be additionally arranged, the hardware cost is reduced, the reliable personnel fuzzy detection is realized through CSI signal fluctuation analysis, the illumination is not relied on, the privacy is protected, the detection result is linked with the illumination and air quantity control, the energy saving is realized, the use convenience is improved, and the low-cost non-invasive intelligent smoke machine linkage solution is provided.

Inventors

• HUANG FUHAI
• Ma haichuan
• ZHONG SHAOHAI

Assignees

• 广东万家乐燃气具有限公司

Dates

Publication Date

20260512

Application Date

20260104

Claims (10)

1. 1. A smoke machine linkage method based on Wi-Fi CSI perception is characterized by comprising the following steps: When a smoke machine is in a working state, acquiring Channel State Information (CSI) data of a Wi-Fi module of the smoke machine; Based on the CSI data, analyzing signal fluctuation caused by human body activity in an operation area of the smoke machine, and judging the existence state of personnel in the operation area according to the signal fluctuation; And triggering a predefined linkage control instruction based on the judged personnel presence state, and adjusting at least one working parameter of the smoke machine according to the linkage control instruction.
2. 2. The Wi-Fi CSI-sensing based range hood linkage method of claim 1, wherein the acquiring channel state information CSI data of a Wi-Fi module of the range hood comprises: And after the smoke machine is electrified and the Wi-Fi module is connected to the wireless router, continuously receiving communication signals between the Wi-Fi module and the wireless router in a preset period, and resolving channel state information of the communication signals in real time to generate a CSI data stream.
3. 3. The Wi-Fi CSI-sensing based range hood linkage method of claim 2, wherein the analyzing signal fluctuations caused by human body activity in an operating area of the range hood based on the CSI data and determining a person presence state in the operating area according to the signal fluctuations comprises: Preprocessing the CSI data stream to filter environmental background noise; Extracting signal waveform characteristics from the preprocessed CSI data stream; and judging the personnel presence state in the operation area based on the extracted time sequence of the signal waveform characteristics, wherein the personnel presence state comprises the entering of personnel into the operation area and the leaving of personnel from the operation area.
4. 4. The smoke machine linkage method based on Wi-Fi CSI sensing according to claim 3, wherein the triggering a predefined linkage control instruction based on the determined person presence state comprises: When the person enters the operation area, generating and sending an instruction for starting a lighting lamp of the smoke machine; And when the person is judged to leave the operation area, the person is delayed for regeneration for a preset time period and an instruction for turning off the lighting lamp of the smoke ventilator is sent.
5. 5. The smoke machine linkage method based on Wi-Fi CSI sensing according to claim 3, wherein the triggering a predefined linkage control instruction based on the determined person presence state comprises: When a person is judged to enter an operation area, acquiring a real-time fire signal of the kitchen range, inquiring a preset fire-air volume mapping relation according to the real-time fire signal, and generating and sending an instruction for adjusting the gear of a fan of the smoke ventilator to a corresponding target gear; And when the person leaves the operation area, generating and sending an instruction for adjusting the gear of the fan of the smoke machine down or closing the fan.
6. 6. The smoke machine linkage method based on Wi-Fi CSI perception according to claim 1, wherein the predefined linkage control instruction is configured by a user through a terminal application program, and the configuration process comprises: Providing an optional trigger event list and an executable action list in the application program; Receiving a person entering event and/or a person leaving event selected by a user from the trigger event list, and at least one smoke machine control action associated for each selected event from the executable action list; And storing the corresponding relation between the selected event and the associated control action of the smoke machine as a linkage control rule into a local storage unit of the smoke machine.
7. 7. The Wi-Fi CSI-sensing based range hood linkage method of claim 3, wherein the extracting signal waveform features from the preprocessed CSI data stream comprises: acquiring a pre-established reference signal model, wherein the reference signal model characterizes the CSI signal characteristics of the operation area when no personnel are active; comparing the preprocessed CSI data stream with the reference signal model, and calculating an amplitude correlation coefficient or a phase difference variance of the preprocessed CSI data stream and the reference signal model on the corresponding subcarrier; and taking the calculated amplitude correlation coefficient or the calculated phase difference variance as the signal waveform characteristic.
8. 8. The Wi-Fi CSI-sensing based range hood linkage method of claim 7, wherein the determining a person presence status within the operating region based on the time series of extracted signal waveform features comprises: For a time series of the amplitude correlation coefficient or the phase difference variance, which is a feature of a signal waveform, the following calculation is performed: Setting a personnel entering judgment threshold value and a personnel leaving judgment threshold value; Traversing the time sequence, and calculating the absolute value of the difference between the characteristic value of the current sampling time and the characteristic value of the previous sampling time to be used as the instantaneous change intensity; When the average value of the instantaneous change intensity is larger than the personnel entering judgment threshold value in a first continuous preset number of sampling periods and the time that the average value is continuously larger than the personnel entering judgment threshold value reaches a first preset duration, judging that the personnel enters an operation area; And judging that the person leaves the operation area when the characteristic values of the time sequence are lower than the person leaving judgment threshold value and the characteristic values continuously lower than the person leaving judgment threshold value reach a second preset duration in a second preset number of sampling periods.
9. 9. A computer device, characterized in that it comprises a memory on which a computer program is stored and a processor which, when executing the computer program, implements the method according to any of claims 1-8.
10. 10. A computer readable storage medium, characterized in that the storage medium stores a computer program which, when executed by a processor, implements the method according to any of claims 1-8.

Description

Wi-Fi CSI sensing-based smoke machine linkage method, equipment and medium Technical Field The invention relates to the technical field of intelligent control of a smoke machine, in particular to a smoke machine linkage method, equipment and medium based on Wi-Fi CSI sensing. Background In the field of smart home, detection of a human body position or a presence state has become a basic and key technology for realizing scene linkage between devices. Currently, common detection schemes rely primarily on various types of dedicated sensors. For example, an infrared pyroelectric sensor determines the presence of a person by sensing infrared radiation of a specific wavelength emitted by a human body, has relatively low cost, is easily interfered by ambient temperature and non-human heat sources, and has limited detection range, angle and sensitivity. Further, the millimeter wave radar detects the distance, speed and angle of an object by transmitting and receiving reflected radio waves, has strong penetrating power and high detection precision, is not affected by illumination and temperature, but has significantly higher hardware complexity and cost, and has economic challenges in large-scale deployment in consumer products. Further, the camera vision scheme can provide the most abundant scene information, and accurate human body detection and behavior analysis can be realized through an image recognition algorithm, however, the camera vision scheme involves privacy disclosure risks, has high processing power requirements, and can be degraded in dim light, backlight or an environment with shielding. The above prior art solutions have a common problem in that additional dedicated sensing hardware is required to be arranged in the area to be monitored. This not only directly increases the material cost and installation complexity of the system, but also may affect the aesthetics of the home environment. For specific electrical appliances such as a range hood (hereinafter referred to as a range hood) in a kitchen, linkage control (such as automatic start-stop lighting and air volume adjustment according to personnel) generally only needs to determine whether a person exists in an operation area or not as a rough fuzzy detection result, and does not need to accurately identify an individual or track fine actions. In such an application scenario, the deployment of the millimeter wave radar or camera with high precision and high cost is excessive in performance and uneconomical, while if the infrared pyroelectric sensor is adopted, a plurality of sensors are often required to be installed to cover a sufficient detection range (such as the whole operation area of the cooking bench), and the user cost and the complexity of installation and maintenance are also increased. Disclosure of Invention The embodiment of the invention provides a smoke machine linkage method, equipment and medium based on Wi-Fi CSI perception, and aims to solve the technical problem of providing an effective solution which does not need additional special sensing hardware, can realize reliable fuzzy human body detection at a lower cost and drive equipment to intelligently link according to the method. In a first aspect, an embodiment of the present invention provides a smoke machine linkage method based on Wi-Fi CSI sensing, which includes: When a smoke machine is in a working state, acquiring Channel State Information (CSI) data of a Wi-Fi module of the smoke machine; Based on the CSI data, analyzing signal fluctuation caused by human body activity in an operation area of the smoke machine, and judging the existence state of personnel in the operation area according to the signal fluctuation; And triggering a predefined linkage control instruction based on the judged personnel presence state, and adjusting at least one working parameter of the smoke machine according to the linkage control instruction. Optionally, the collecting channel state information CSI data of the Wi-Fi module of the smoke machine includes: And after the smoke machine is electrified and the Wi-Fi module is connected to the wireless router, continuously receiving communication signals between the Wi-Fi module and the wireless router in a preset period, and resolving channel state information of the communication signals in real time to generate a CSI data stream. Optionally, the analyzing signal fluctuation caused by human body activity in the operation area of the smoke machine based on the CSI data, and judging the personnel presence state in the operation area according to the signal fluctuation includes: Preprocessing the CSI data stream to filter environmental background noise; Extracting signal waveform characteristics from the preprocessed CSI data stream; and judging the personnel presence state in the operation area based on the extracted time sequence of the signal waveform characteristics, wherein the personnel presence state comprises the entering of personnel i