Human body induction intelligent control system based on infrared and radar combination technology

Abstract

The invention discloses a human body induction intelligent control system based on an infrared and radar combination technology, and relates to the technical field of human body induction, and the system comprises a control end, an induction end and a power-on end. Wherein after initialization setting, the control end is used for judging a corresponding mechanism to be executed, receiving a signal sent by the sensing end and controlling a power supply on-off condition of the electrifying end according to a result of the corresponding mechanism; according to the technical key points, in three aspects of micro-motion judgment, motion judgment and infrared source judgment, a mode of combining a main sensor and an auxiliary sensor is adopted, so that the accuracy and reliability of the system are improved, lamplight and a power supply are automatically controlled to be turned on and turned off according to the activity condition of personnel, and the energy consumption is accurately reduced; lighting lamps and other electric equipment in the system are automatically managed in a unified manner, so that the safety and the energy-saving property are improved, the energy cost is reduced, and the operation cost is reduced; the system can be seamlessly integrated with an existing smart home or building management system.

Description

Technical Field

[0001] The invention relates to the technical field of human body induction, in particular to a human body induction intelligent control system based on infrared and radar combined technology. Background Art

[0002] In terms of applying human body sensing technology to the control of lighting fixtures, its working principle is mainly based on human body sensing technology and light control technology; human body sensing technology is a technology that captures the infrared radiation of the human body within the range of human activities through a sensor and converts it into an electrical signal; specifically, when the human body enters the sensing range of the sensor, the sensor will send a sensing signal to inform the human body that it exists in the area; light control technology is a technology that adjusts the brightness of the light according to the intensity of the surrounding light. It has built-in light control elements such as photoresistors or photodiodes, and judges the current lighting environment by sensing the surrounding light intensity.

[0003] The existing application publication number is CN116113119A, and the document named A method for controlling the intelligent lighting system of a motor vehicle maintenance warehouse points out that: by setting short-range human body sensors at the head and tail of the first floor, second floor and overhead floor of the motor vehicle maintenance warehouse, and setting long-range human body sensors at the lighting lamps of the first floor, second floor and overhead floor, the control and dispatching device can control the lighting lamps according to the results of the short-range human body sensors and long-range human body sensors. The present invention uses short-range human body sensors and long-range human body sensors to sense and judge respectively, realizes the intelligent control of maintenance lighting equipment, and makes the lighting lamps light up as needed and turn off automatically, saving energy consumption under the premise of ensuring the lighting of vehicle maintenance and repair work; but the accuracy of its lighting system control needs to be improved; combined with other similar patents such as: CN109309997A, CN105682318B, there are certain accuracy recognition problems.

[0004] The radar sensing control system currently designed automatically senses the human body and controls the power switch when someone enters a fixed area, or uses low-cost human infrared sensing to control the switch, or uses a simple radar + infrared parallel trigger. Research and testing on the control systems currently configured on the market and existing technical documents have found that the existing technology has the following defects:

[0005] 1. It is easy to trigger by mistake, which is inconsistent with the expected goal;

[0006] 2. The functions are scattered, most of them only realize a single function, which is not systematic and has a gap with the complete user experience. Some of the wireless remote control switches on the market are infrared + radar induction control switches with single functions and are relatively rigid;

[0007] 3. There are still some switches controlled by Bluetooth, WiFi, and setting switches controlled by mini-programs on the market. They have many functions, but the actual application effect is not good. They do not fundamentally solve the problems of mistransmission, misjudgment, and inaccurate judgment. In addition, when using them, they must rely on mobile phones or other additional tools, which is not in line with people’s common habits. Summary of the invention

[0008] 1. Technical issues to be solved

[0009] In view of the shortcomings of the prior art, the present invention provides a human body sensing intelligent control system based on a combination of infrared and radar technologies. In the three aspects of micro-motion discrimination, motion discrimination and infrared source discrimination, a combination of main and auxiliary sensors is adopted, thereby improving the accuracy and reliability of the system, and automatically controlling the turning on and off of lights and power according to the activities of personnel, accurately reducing energy consumption; automatically and uniformly managing lighting fixtures and other electrical equipment in the system, improving safety and energy saving, reducing energy costs, and lowering operating costs; the overall design improves the level of modern building management, and is suitable for residences, commercial buildings, public facilities and other places; it can be seamlessly integrated with existing smart home or building management systems, solving the problems raised in the background technology.

[0010] (II) Technical solution

[0011] To achieve the above objectives, the present invention is implemented through the following technical solutions:

[0012] Human body sensing intelligent control system based on infrared and radar combined technology, including:

[0013] The system includes a control end, a sensing end and a power-on end; wherein the control end, after being initialized and set, is used to determine the corresponding mechanism to be executed, receive the signal sent from the sensing end, and control the power on and off conditions of the power-on end according to the result of the corresponding mechanism;

[0014] The control end also has a built-in judgment management module, an algorithm execution module, and a detection control module that run in sequence;

[0015] The judgment management module obtains the indoor environmental parameters of the control terminal, builds a comprehensive analysis model based on the environmental parameters, generates an environmental stability index, compares the environmental stability index with the set threshold, and outputs the comparison result;

[0016] An algorithm execution module receives comparison results;

[0017] When the environmental stability index exceeds the set threshold, the action determination mechanism is triggered;

[0018] When the environmental stability index does not exceed the set threshold, the infrared judgment mechanism is triggered;

[0019] Output the determination result of the corresponding determination mechanism;

[0020] A detection control module receives a determination result;

[0021] When it is determined that there is a person, a trigger command is issued to connect the path between the power-on terminal and the power source;

[0022] When it is determined that no one is present, a closing command is issued, and the path between the energized end and the power supply is disconnected after a set delay.

[0023] Furthermore, the process of initializing the control terminal is as follows: the control terminal stores the current control mode of the system, including the automatic control mode and the shutdown mode, and switches between the automatic control mode and the shutdown mode by adjusting the control terminal.

[0024] Furthermore, indoor environmental parameters include temperature and light;

[0025] The process of building a comprehensive analysis model to generate environmental stability indicators is as follows:

[0026] S101, cleaning the temperature and light data collected in real time;

[0027] S102, calculating the changes in temperature and light;

[0028] The temperature of the previous minute is recorded as To, and the current temperature is T. The temperature change is: ΔT = T - To;

[0029] The light intensity of the previous minute is recorded as Lo, and the current light intensity is recorded as L. Then the change in light intensity is: ΔL = L - Lo;

[0030] S103. Calculate the environmental stability index based on the following formula:

[0031]

[0032] Where I represents the environmental stability index.

[0033] Furthermore, the triggered action determination mechanism is as follows:

[0034] When the radar in the sensing end detects fluctuations in motion signals, feature extraction technology is used to determine whether the motion signal collected by the radar is a micro-motion signal or a motion signal; when it is determined to be a micro-motion signal, a motion detection combination algorithm is used to determine whether there is anyone in the area covered by the system; when it is determined to be a motion signal, a motion detection verification algorithm is used to determine whether there is anyone in the area covered by the system.

[0035] Furthermore, the feature extraction technique used is any one of a time-frequency analysis method or a short-time Fourier transform;

[0036] The process of determining whether the signal collected by the radar is a micro-motion signal or a motion signal is as follows:

[0037] S201, the radar collects echo signal data at a predetermined sampling rate;

[0038] S202, performing denoising and filtering processing on the collected echo signal data;

[0039] S203, extracting frequency characteristics of echo signal data by feature extraction technology;

[0040] S204, comparing the frequency feature with a preset standard threshold, if the frequency fluctuation difference between the first and last moments in the initial time period does not exceed the standard threshold, it is determined to be a micro-motion signal; otherwise, it is determined to be a motion signal.

[0041] Furthermore, the motion detection combination algorithm used is: a combination algorithm based on motion as the main and infrared as the auxiliary, combined with time sequence;

[0042] The process of using the combined motion detection algorithm to determine whether there is a person in the system coverage area is as follows:

[0043] Under the condition that it is determined as a micro-motion signal, within the detection time window of M seconds, the micro-motion signal is collected evenly M times; between the M collections, the infrared probe is used to collect the infrared pyroelectric signal of the human body; if the infrared pyroelectric signal of the human body is collected three times in a row within the detection time window, it is determined that there is a person; otherwise, it is determined that there is no one;

[0044] Among them, M>3.

[0045] Furthermore, the dynamic detection verification algorithm adopted is: a combination algorithm based on action and combined with the collection of infrared signals;

[0046] The process of using the dynamic detection and verification algorithm to determine whether there is a person in the system coverage area is as follows:

[0047] Under the condition that it is judged as a motion signal, radar is used to collect motion signals, and human infrared pyrolysis signals are collected interspersed for verification; after the radar detects the motion signal, it waits for the verification of the human infrared pyrolysis signal; if the analysis of the human infrared pyrolysis signal determines that there is motion, it is determined that there is a person; if the human infrared pyrolysis signal does not determine the existence of motion, it is determined that there is no person.

[0048] Furthermore, the triggered infrared determination mechanism is as follows: when the infrared probe in the sensing end detects the infrared pyroelectric signal of the human body, a thermal detection combination algorithm is used to determine whether there is a person in the system coverage area.

[0049] Furthermore, the thermal detection combination algorithm is: a combination algorithm based on infrared as the main and motion as the auxiliary, combined with timing;

[0050] The process of using the thermal detection combination algorithm to determine whether there is a person in the system coverage area is as follows:

[0051] In the detection time window of M seconds, the infrared pyroelectric signals of the human body are collected M times evenly; between the M collections, the motion signals are collected interspersed by radar; if the motion signal is collected three times in a row within the detection time window, and the xy 2D plane hotspot motion discrimination technology is used to determine that the hotspot corresponding to the infrared pyroelectric signal of the human body moves, it is determined that there is a person; otherwise, it is determined that there is no person.

[0052] The human body sensing intelligent control method based on infrared and radar combined technology includes the following steps:

[0053] The control terminal is initialized and set;

[0054] Obtain the indoor environmental parameters of the control terminal, build a comprehensive analysis model based on the environmental parameters, generate an environmental stability index, compare the environmental stability index with the set threshold, and output the comparison result;

[0055] Receive the signal sent from the sensing end and receive the comparison result at the same time; when the environmental stability index exceeds the set threshold, the action judgment mechanism is triggered; when the environmental stability index does not exceed the set threshold, the infrared judgment mechanism is triggered; output the judgment result of the corresponding judgment mechanism;

[0056] Receive the judgment result; when it is determined that there is someone, a trigger command is issued to connect the path between the power-on end and the power supply; when it is determined that there is no one, a closing command is issued to disconnect the path between the power-on end and the power supply after a set delay.

[0057] (III) Beneficial effects

[0058] The present invention provides a human body sensing intelligent control system based on infrared and radar combined technology, which has the following beneficial effects:

[0059] (1) The system integrates radar and infrared probes to achieve dual monitoring of motion and human infrared, improving the accuracy and reliability of the judgment results. At the same time, through the initialization setting and dynamic threshold adjustment mechanism of the control end, the system can intelligently switch the judgment mechanism according to the real-time changes of the indoor environment, so that infrared verification is used when the environment is stable to reduce misjudgment; when the environment is unstable, motion verification is used to ensure accurate response;

[0060] In addition, the system also builds a comprehensive analysis model and uses temperature and light data to calculate environmental stability indicators, providing a scientific basis for the judgment mechanism and further improving the intelligence level of the system;

[0061] (2) By combining the data of radar and infrared probes and adopting a time-series combination algorithm, the anti-false touch algorithm composed of the motion detection combination algorithm, the motion detection verification algorithm and the thermal detection combination algorithm can effectively reduce the probability of misjudgment when any sensor is used alone; in the three aspects of micro-motion discrimination, motion discrimination and infrared source discrimination, the main and auxiliary sensors are combined to improve the accuracy and reliability of the system; at the same time, combined with the two-dimensional plane hot spot motion discrimination technology, it can further improve the system's recognition accuracy of human movement;

[0062] (3) In summary, this system can automatically control the turning on and off of lights and power according to the activities of people, accurately reducing energy consumption; automatically manage lighting fixtures and other electrical equipment in the system, improve safety and energy saving, reduce energy costs, and reduce operating costs; the overall design improves the level of modern building management and is suitable for residential, commercial buildings, public facilities and other places; it can be seamlessly integrated with existing smart home or building management systems. BRIEF DESCRIPTION OF THE DRAWINGS

[0063] Figure 1 It is a schematic diagram of the detailed composition of the system in the present invention;

[0064] Figure 2 For the present invention Figure 1 A schematic diagram of the layout structure of the main control switch;

[0065] Figure 3 For the present invention Figure 1 A schematic diagram of the layout structure of the smart socket;

[0066] Figure 4 A schematic diagram of multi-terminal connections of a human body sensing intelligent control system based on infrared and radar combined technology in the present invention;

[0067] Figure 5 It is a schematic diagram of the modularization built into the control terminal in the present invention;

[0068] Figure 6 The figure is a flow chart of the human body sensing intelligent control method based on the infrared and radar combined technology in the present invention. DETAILED DESCRIPTION

[0069] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0070] Design concept:

[0071] The radar sensing control system currently designed automatically senses the human body and controls the power switch when someone enters a fixed area, or uses low-cost human infrared sensing to control the switch, or uses a simple radar + infrared parallel trigger. Researchers have conducted research and experiments on the control systems currently configured on the market and found that the existing technology has the following defects:

[0072] 1. It is easy to trigger by mistake, which is inconsistent with the expected goal;

[0073] 2. The functions are scattered, most of them only realize a single function, which is not systematic and has a gap with the complete user experience. Some of the wireless remote control switches on the market are infrared + radar induction control switches with single functions and are relatively rigid;

[0074] 3. There are still some switches controlled by Bluetooth, WiFi, and setting switches controlled by mini-programs on the market. They have many functions, but the actual application effect is not good. They do not fundamentally solve the problems of mistransmission, misjudgment, and inaccurate judgment. In addition, when using them, they must rely on mobile phones or other additional tools, which is not in line with people’s common habits.

[0075] In view of the above defects, the R&D designers started from the research direction of anti-false touch, designed and developed relevant unique anti-false touch algorithms, and aimed at the problem that the probability of misjudgment is relatively high when simply using radar trigger, human infrared trigger, or parallel trigger. By using infrared as a technology to assist mutual verification with radar, combined with timing combination algorithm calculation, and accurate system selection, such a combination application can reduce the probability of false triggering of human infrared. The specific technical solutions and applications under this assumption are explained and reflected in the subsequent embodiments;

[0076] Reference Figure 1 to Figure 3 As shown, it can be seen from the figure that the components of the designed control system are the main control switch 2, the human infrared and radar sensor probe 1 and the intelligent socket 3;

[0077] Main control switch 2 stores the current control mode of the system, i.e., automatic control mode and shutdown mode;

[0078] The current control mode of the system is indicated by the indicator light 2.2 on the main control switch 2. If the indicator light 2.2 is green, it indicates that it is in the automatic control mode; if it is not green, it indicates that it is in the off mode. The current control mode of the system can be switched by pressing the setting button 2.1 on the main control switch 2.

[0079] When the system is in automatic control mode:

[0080] If a person enters the detected area, the human infrared and radar sensor probe 1 sends a trigger signal to start, which is transmitted to the main control switch 2 by wireless means; when the main control switch 2 receives the trigger signal, it triggers the power supply in the area, that is, the large power box; if a person leaves the detected area, after a certain delay, the human infrared and radar sensor probe 1 sends a trigger signal to stop, which is transmitted to the main control switch 2 by wireless means; when the main control switch 2 receives the trigger signal, it triggers the power supply in the area to stop;

[0081] When the system is in shutdown mode:

[0082] The signals sent by the human infrared and radar sensor probe 1 will be ignored;

[0083] The above are the various components of the system, which are naturally arranged at the locations of commonly used switches and sockets in the area, without the need for mobile phones or other auxiliary tools;

[0084] The effects we want to achieve based on the design concept are as follows:

[0085] Unified control: Integrate power switches, sockets and lamps into a unified control system to achieve simple and efficient management; Precise control: Achieve precise control of room electricity consumption, which can be controlled manually or automatically switched on and off by human body sensing to meet the needs of different scenarios; Simplified installation and debugging: Design a universal installation interface to reduce the modification of existing equipment and improve the adaptability and compatibility of the system; User-friendly: Provide simple and convenient operation to lower the user's usage threshold; Energy-saving optimization: Adjust the on-off state of the power supply by sensing the human body, optimize energy consumption and achieve energy-saving effects.

[0086] Embodiment 1:

[0087] See also Figure 1 to Figure 5 This embodiment provides a human body sensing intelligent control system based on infrared and radar combined technology, the system includes a control terminal, a sensing terminal and a power-on terminal, and the number and layout of each terminal can be set according to actual needs; wherein, after the control terminal is initialized and set, it is used to determine the corresponding mechanism to be executed, receive the signal sent from the sensing terminal, and control the power on and off condition of the power-on terminal according to the result of the corresponding mechanism;

[0088] The sensing end includes radar and infrared probes; radar is used for motion monitoring, and infrared probes are used for human infrared monitoring; the two complement each other, and the main and auxiliary relationship of the two types of probes is adjusted according to the situation to cope with different environments.

[0089] The process of initializing the control terminal is as follows:

[0090] The control terminal stores the current control mode of the system, including the automatic control mode and the shutdown mode. By adjusting the control terminal, the switching between the automatic control mode and the shutdown mode can be completed;

[0091] Specifically, the control end is adjusted as follows: the control mode is switched by the button 2.1 provided on the main control switch 2; the indicator light 2.2 provided on the main control switch 2 displays green, indicating that it is in the automatic control mode; the indicator light 2.2 provided on the main control switch 2 does not display green, indicating that it is in the off mode;

[0092] The control end has built-in judgment management module, algorithm execution module and detection control module which run in sequence;

[0093] The judgment management module obtains the indoor environmental parameters of the control terminal, builds a comprehensive analysis model based on the environmental parameters, generates an environmental stability index that reflects the stability of the current indoor environment, compares the environmental stability index with the set threshold, and outputs the comparison result;

[0094] Among them, the entire control system is applied indoors;

[0095] Indoor environmental parameters include temperature and light. The collection of temperature and light data is usually achieved by assembling corresponding temperature sensors and light sensors. The temperature sensors and light sensors need to be installed adjacent to the sensing end to collect temperature and light data, which reflects the temperature and light in the environment where the sensing end is located.

[0096] The process of building a comprehensive analysis model to generate environmental stability indicators is as follows:

[0097] S101, performing data cleaning on the temperature and light data collected in real time;

[0098] Data cleaning includes removing outliers, duplicate values, and missing values ​​in temperature and light data. Statistical methods can be used to detect and process outliers, and timestamps can be used to identify and remove duplicate data. Missing values ​​can be filled with interpolation or the mean of the previous and next values ​​to ensure that the data set is complete and reliable.

[0099] S102, calculating the changes in temperature and light;

[0100] The temperature of the previous minute is recorded as To, and the current temperature is T. The temperature change is: ΔT = T - To;

[0101] The light intensity of the previous minute is recorded as Lo, and the current light intensity is recorded as L. Then the change in light intensity is: ΔL = L - Lo;

[0102] S103. Calculate the environmental stability index based on the following formula:

[0103]

[0104] Where I represents the environmental stability index. The above formula calculates the Euclidean distance of temperature and light changes as a measure of comprehensive stability. When both ΔT and ΔL are small, I will also be small, indicating that the indoor environment is relatively stable.

[0105] Logic description:

[0106] In the formula In fact, we are calculating the modulus of a two-dimensional vector (ΔT, ΔL). This vector represents the change in temperature and light. The larger the modulus, the more drastic the change; the smaller the modulus, the smaller the change and the more stable the environment. By setting a threshold, we can compare the environmental stability index I with it to judge the stability of the indoor environment.

[0107] An algorithm execution module receives comparison results;

[0108] When the environmental stability index exceeds the set threshold, it means that the current indoor environment is not stable enough, and the action judgment mechanism is triggered;

[0109] When the environmental stability index does not exceed the set threshold, it means that the current indoor environment is stable, and the infrared judgment mechanism is triggered;

[0110] Output the determination result of the corresponding determination mechanism;

[0111] The process of setting the threshold is as follows:

[0112] Collect indoor temperature and light data at the same time point in a given time period and store them in a database or file. After de-extreme value processing, use a comprehensive analysis model to calculate the environmental stability index at the same time point in the given time period, and calculate the average and standard deviation of several environmental stability indexes. The set threshold is obtained by accumulating the average and standard deviation. The set threshold is used with the given time period. After exceeding the given time period, it is recalculated in the next given time period, thereby obtaining a dynamic set threshold to ensure that the threshold is both in line with the actual situation and has good stability and accuracy.

[0113] The logic of threshold setting is as follows: This threshold determination method is based on statistical principles. By calculating the mean and standard deviation of environmental stability indicators within a given time period and accumulating them, a threshold is set that can reflect the trend of the data concentration and take into account the data fluctuation range, thereby ensuring the accuracy and effectiveness of data cleaning.

[0114] An example of the process of comparing the calculated environmental stability index with the set threshold is given below:

[0115] Assuming the temperature of the previous minute is 22°C and the temperature of the current minute is 22.1°C, then ΔT = 0.1°C;

[0116] Assuming that the light intensity in the previous minute is 300 lx and the light intensity in the current minute is 305 lx, then ΔL = 5 lx;

[0117] The comprehensive value was calculated using the formula: I ≈ 5.001;

[0118] If the threshold value Iol=3 is set, since I>Iol, it is judged that the current indoor environment is unstable, and the action determination mechanism is triggered;

[0119] Through the above method, a comprehensive value formula can be constructed based on the real-time temperature and light values ​​and their changes to determine the stability of the indoor environment. This method is simple and effective and is applicable to various scenarios that require monitoring the stability of the indoor environment.

[0120] By adopting the above technical solution, the technical problems of high misjudgment rate and poor adaptability of traditional human body sensing control system under complex environmental changes are mainly solved. The system realizes dual monitoring of motion and human infrared by integrating radar and infrared probe, and improves the accuracy and reliability of the judgment result; at the same time, through the initialization setting and dynamic threshold adjustment mechanism of the control end, the system can intelligently switch the judgment mechanism according to the real-time changes of the indoor environment, so as to use infrared verification when the environment is stable to reduce misjudgment; when the environment is unstable, it uses motion verification to ensure accurate response;

[0121] In addition, the system also builds a comprehensive analysis model and uses temperature and light data to calculate environmental stability indicators, providing a scientific basis for the judgment mechanism and further improving the intelligence level of the system;

[0122] In summary, this technical solution not only improves the accuracy and reliability of the human body sensing control system, but also enhances the system's adaptability and intelligence level, and is suitable for various scenarios that require monitoring of indoor environmental stability and human activities; this method of comprehensive application of infrared and radar technology, combined with environmental parameters for intelligent judgment, provides new ideas and solutions for the optimization of human body sensing control systems.

[0123] The triggered action determination mechanism is as follows:

[0124] When the radar in the sensing end detects fluctuations in the motion signal, the feature extraction technology is used to determine whether the motion signal collected by the radar is a micro-motion signal or a motion signal; when it is determined to be a micro-motion signal, the motion detection combination algorithm is used to determine whether there is a person in the system coverage area; when it is determined to be a motion signal, the motion detection verification algorithm is used to determine whether there is a person in the system coverage area;

[0125] In addition, in actual application, when it is determined to be a motion signal, the motion detection combination algorithm can also be used;

[0126] It should be noted that the definitions of micro motion signals and motion signals are:

[0127] Micro-motion signal: refers to the radar signal changes caused by slow and small movements, such as human breathing, slight gestures, etc.; the radar echo signal changes caused by these movements are relatively small and the frequency is also low;

[0128] Motion signal: refers to the change of radar signal caused by large-scale or fast-speed movements, such as walking, running, jumping, etc. The change of radar echo signal caused by these movements is more obvious and the frequency is also higher;

[0129] The feature extraction technique used is any one of the time-frequency analysis method or the short-time Fourier transform;

[0130] This embodiment takes the time-frequency analysis method as an example:

[0131] The process of determining whether the signal collected by the radar is a micro-motion signal or a motion signal is as follows:

[0132] S201, the radar collects echo signal data at a predetermined sampling rate;

[0133] S202, performing denoising and filtering processing on the collected echo signal data to improve signal quality;

[0134] S203, extracting the frequency characteristics of the echo signal by using a time-frequency analysis method;

[0135] S204, comparing the frequency characteristics with a preset standard threshold, if the frequency fluctuation difference between the first and last moments in the initial time period does not exceed the standard threshold, it is determined to be a micro-motion signal; otherwise, it is determined to be a motion signal; wherein the initial time period is usually 1 second, and the first and last moments are the moments corresponding to 1 second before and 1 second after;

[0136] It should be noted that the standard threshold is set according to actual conditions and is used to define micro-motion or motion signals. Specifically, a large number of micro-motion signal and motion signal samples can be collected, their frequency fluctuation differences can be calculated, and statistical analysis can be performed, such as calculating the mean, standard deviation and other statistical quantities. Then, based on the needs and accuracy requirements of the actual application, the standard threshold can be independently selected to accurately distinguish micro-motion signals from motion signals. The standard threshold can be adjusted and optimized according to actual conditions to achieve the best distinction effect.

[0137] The motion detection combination algorithm used is: a combination algorithm based on motion and supplemented by infrared, combined with time sequence;

[0138] The process of using the combined motion detection algorithm to determine whether there is a person in the system coverage area is as follows:

[0139] Under the condition that it is determined as a micro-motion signal, within the detection time window of M seconds, the micro-motion signal is collected evenly M times; between the M collections, the infrared probe is used to collect the infrared pyroelectric signal of the human body; if the infrared pyroelectric signal of the human body is collected three times in a row within the detection time window, it is determined that there is a person; otherwise, it is determined that there is no one;

[0140] Wherein, M>3, and the value of M in this embodiment is 5;

[0141] For example: If the radar micro-motion signal is triggered twice due to the swinging of the curtain within 5 seconds, but the human infrared signal is not triggered, the system will judge that no one is present to avoid mistakenly turning on the power of the area; if the radar micro-motion signal is triggered once and the human infrared signal is triggered three times in a row within the same time window, the system will judge that there is a person and accurately turn on the power of the area;

[0142] The dynamic detection and verification algorithm used is: a combination algorithm based on action and combined with the collection of infrared signals;

[0143] The process of using the dynamic detection and verification algorithm to determine whether there is a person in the system coverage area is as follows:

[0144] Under the condition that it is determined to be a motion signal, the radar is used to collect the motion signal, and the infrared pyroelectric signal of the human body is collected for verification; after the radar detects the motion signal, it waits for the verification of the infrared pyroelectric signal of the human body; if the analysis of the infrared pyroelectric signal of the human body determines that there is motion, it is determined that there is a person; if the infrared pyroelectric signal of the human body does not determine that there is motion, it is determined that there is no person;

[0145] Among them, analyzing the infrared pyrolysis signal of the human body to determine the existence of movement indicates that: the position of the current infrared pyrolysis signal of the human body is inconsistent with the position of the infrared pyrolysis signal of the human body collected last time;

[0146] For example: When strong winds blow indoor objects and cause the radar to misjudge, if the human infrared signal does not detect human motion, the system will not turn on the regional power supply, thus avoiding false triggering;

[0147] The triggered infrared judgment mechanism is as follows:

[0148] When the infrared probe in the sensing end detects the infrared pyroelectric signal of the human body, a thermal detection combination algorithm is used to determine whether there is a person in the system coverage area;

[0149] The thermal detection combination algorithm used is: a combination algorithm based on infrared as the main and action as the auxiliary, combined with timing;

[0150] The process of using the thermal detection combination algorithm to determine whether there is a person in the system coverage area is as follows:

[0151] In the detection time window of M seconds, the infrared pyroelectric signals of the human body are collected M times evenly; between the M times of collection, the action signal is collected by radar interspersed; if the action signal is collected three times in a row in the detection time window, and the xy 2D plane hot spot motion discrimination technology is used to determine that the hot spot corresponding to the infrared pyroelectric signal of the human body moves, it is determined that there is a person; otherwise (that is, the hot spot does not move, or the action signal is not continuously triggered), it is determined that there is no one;

[0152] For example: When the accuracy of the human sensor is affected by changes in indoor temperature and light, if the radar action signal is triggered by mistake (such as caused by the movement of a pet), but the hot spot on the infrared sensor does not change in the trajectory consistent with human movement, the system will determine it as a false trigger and will not turn on the regional power supply;

[0153] It should be noted that the auxiliary part of the algorithm in this application is the verification part, which serves as the basis for the final determination of whether a person exists, and the main part is the preliminary detection process;

[0154] The description of the xy 2D plane hotspot motion discrimination technology is as follows:

[0155] In the xy two-dimensional plane, the hotspot motion discrimination technology is used to determine the hotspot movement corresponding to the infrared pyroelectric signal of the human body, mainly by analyzing the thermal radiation changes captured by the pyroelectric infrared (PIR) sensor; the PIR sensor can detect the infrared rays of a specific wavelength emitted by the human body and convert them into electrical signals; when the human body moves within the monitoring range of the sensor, its thermal radiation distribution changes, causing the waveform of the electrical signal output by the sensor to change accordingly;

[0156] The specific judgment process includes: first, through the sensor array or a single sensor combined with an algorithm, the signal characteristics in the time domain and frequency domain are extracted, such as the slope of the waveform, the number of peaks, etc. These characteristics are directly related to the movement state of the human body; then, hotspot motion discrimination technology, such as pattern recognition, machine learning and other methods, is used to analyze and process these characteristics, so as to determine the movement direction and speed of the hotspot; finally, the accurate judgment of the hotspot movement corresponding to the infrared pyroelectric signal of the human body is achieved.

[0157] The motion detection combination algorithm, motion detection verification algorithm and thermal detection combination algorithm constitute the anti-false touch algorithm;

[0158] In summary, by combining the data of radar and infrared probes and adopting a timing combination algorithm, this anti-false touch algorithm can effectively reduce the probability of misjudgment when using any sensor alone; in the three aspects of micro-motion judgment, motion judgment and infrared source judgment, a combination of main and auxiliary sensors is adopted to improve the accuracy and reliability of the system; at the same time, combined with the 2D plane hotspot motion judgment technology, it can further improve the system's recognition accuracy of human movement.

[0159] A detection control module receives a determination result;

[0160] When it is determined that there is a person, a trigger command is issued to connect the path between the power-on terminal and the power source;

[0161] When it is determined that no one is present, a shutdown command is issued, and the path between the energized end and the power supply is disconnected after a set delay;

[0162] When the path between the power-on end and the power source is connected, the lighting fixture installed on the power-on end is in a lighting state; when the path between the power-on end and the power source is disconnected, the lighting fixture installed on the power-on end is in an extinguishing state;

[0163] It should be noted that the delay setting is specifically set according to actual needs.

[0164] The technical solution provided by this system has the following beneficial effects:

[0165] 1. Energy saving and consumption reduction

[0166] Reduce energy waste: Automatically control the on and off of lights and power according to personnel activities, accurately reducing energy consumption;

[0167] Reduce management costs: The overall data of the system can be uploaded to the control center in real time, realizing automatic management of power consumption without the need to arrange special personnel for inspection;

[0168] 2. Improved security

[0169] Enhanced safety: Automatically manage lighting fixtures and other electrical equipment in the system to ensure electricity is used on demand, improve safety and energy saving;

[0170] 3. Economic Benefits

[0171] Reduce operating costs: reduce energy costs and reduce operating costs;

[0172] Increase asset value: Improve the level of modern building management and enhance asset value;

[0173] 4. Adaptability and Flexibility

[0174] Widely applicable: suitable for residential, commercial buildings, public facilities and other places;

[0175] Easy to integrate: Can be seamlessly integrated with existing smart home or building management systems.

[0176] Combination Figure 4 and Figure 5 The instructions are as follows:

[0177] Determine the execution of the management module Figure 4 The corresponding S2, judgment mechanism, algorithm execution module corresponds to Figure 4 The anti-false touch algorithm in the detection control module corresponds to Figure 4 Mode switching, S4, control on and off; about S3, sending signal represents the signal collected by infrared + radar.

[0178] In addition, continue to combine Figure 1 to Figure 3 , description of the entry and exit methods in the system:

[0179] Dynamic grouping of main control switch 2, human infrared and radar sensor probe 1 and smart socket 3:

[0180] If you want to add one more component to the group, you only need to find a human infrared and radar sensor probe 1 or smart socket 3 or main control switch 2 that is already in the group, press and hold its setting key, and the indicator light will turn red and flash slowly; at the same time, press and hold the setting key of the component waiting to be added. When the pairing request of the new unit is received by a unit in the existing working group, the indicator light of the new unit will go out, indicating that the pairing is successful; the indicator light of the existing unit will also go out to confirm the grouping; the specific grouping procedure settings will not be described in detail here;

[0181] Dynamic grouping of main control switch 2, human infrared and radar sensor probe 1 and smart socket 3:

[0182] If you want to make a certain component (or unit) of the human infrared and radar sensor probe 1, smart socket 3 or main control switch 2 in the group leave the group, you only need to press the setting key 3 times in succession. Long press the key for the 4th time, and the indicator light of the component will flash 3 times, indicating that the component has successfully left the group. The specific program setting of leaving the group is not described in detail here.

[0183] Each unit or component cooperates with each other, so that each unit can be dynamically added or removed easily; during configuration, each unit that is pressed first can be independently configured as a host, so that the units waiting to join can be easily paired and confirmed into the group;

[0184] Connection method description and expansion:

[0185] Other new connection methods 2: Human infrared and radar sensor probes 1, main control switch 2, and smart sockets 3 are connected by wires; they are applied to the installation of new buildings, which can further reduce production costs while ensuring system functions;

[0186] Other new connection modes 3: The system may use 1 main control switch 2, multiple smart sockets 3, and multiple human infrared and radar sensor probes 1 to form a new connection or combination form;

[0187] Other new presentation forms 2: Reference Figure 2 As shown, the main control switch 2 appears in the form of an LED indicator light on the left + a small round button on the right, or in the form of a large 86-key panel + LED light.

[0188] Embodiment 2:

[0189] See also Figure 6 Based on Example 1, this embodiment also provides a human body sensing intelligent control method based on infrared and radar combined technology, including the following specific steps:

[0190] The control terminal is initialized and set;

[0191] Obtain the indoor environmental parameters of the control terminal, build a comprehensive analysis model based on the environmental parameters, generate an environmental stability index, compare the environmental stability index with the set threshold, and output the comparison result;

[0192] Receive the signal sent from the sensing end and receive the comparison result at the same time; when the environmental stability index exceeds the set threshold, the action judgment mechanism is triggered; when the environmental stability index does not exceed the set threshold, the infrared judgment mechanism is triggered; output the judgment result of the corresponding judgment mechanism;

[0193] Receive the judgment result; when it is determined that there is someone, a trigger command is issued to connect the path between the power-on end and the power supply; when it is determined that there is no one, a closing command is issued to disconnect the path between the power-on end and the power supply after a set delay.

[0194] The above embodiments may be implemented in whole or in part by software, hardware, firmware or any other combination thereof. When implemented using software, the above embodiments may be implemented in whole or in part in the form of a computer program product. A person of ordinary skill in the art may appreciate that the units and algorithm steps of each example described in conjunction with the embodiments disclosed herein may be implemented in electronic hardware, or in a combination of computer software and electronic hardware. Whether these functions are performed in hardware or software depends on the specific application and design constraints of the technical solution.

[0195] The units described as separate components may or may not be physically separated, and the components shown as units may or may not be physical units, and may be located in one place or distributed on multiple network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.

[0196] The above description is only a specific implementation manner of the present application, but the protection scope of the present application is not limited thereto. Any technician familiar with the technical field can easily think of changes or substitutions within the technical scope disclosed in the present application, which should be included in the protection scope of the present application.

Claims

1. A human body sensing intelligent control system based on infrared and radar combined technology, the system includes a control end, a sensing end and a power-on end; wherein, After the initialization setting, the control end is used to determine the corresponding mechanism to be executed, receive the signal sent from the sensing end, and control the power on and off conditions of the power-on end according to the result of the corresponding mechanism; it is characterized by: The control end also has a built-in judgment management module, an algorithm execution module, and a detection control module that run in sequence; The judgment management module obtains the indoor environmental parameters of the control terminal, builds a comprehensive analysis model based on the environmental parameters, generates an environmental stability index, compares the environmental stability index with the set threshold, and outputs the comparison result; An algorithm execution module receives comparison results; When the environmental stability index exceeds the set threshold, the action determination mechanism is triggered; When the environmental stability index does not exceed the set threshold, the infrared judgment mechanism is triggered; Output the determination result of the corresponding determination mechanism; A detection control module receives a determination result; When it is determined that there is a person, a trigger command is issued to connect the path between the power-on terminal and the power source; When it is determined that no one is present, a closing command is issued, and the path between the energized end and the power supply is disconnected after a set delay.

2. The human body sensing intelligent control system based on infrared and radar combined technology according to claim 1 is characterized in that: The process of initializing the control terminal is as follows: the control terminal stores the current control mode of the system, including the automatic control mode and the shutdown mode, and switches between the automatic control mode and the shutdown mode by adjusting the control terminal.

3. The human body sensing intelligent control system based on infrared and radar combined technology according to claim 2 is characterized in that: Indoor environmental parameters include temperature and light; The process of building a comprehensive analysis model to generate environmental stability indicators is as follows: S101, cleaning the temperature and light data collected in real time; S102, calculating the changes in temperature and light; The temperature of the previous minute is recorded as To, and the current temperature is T. The temperature change is: ΔT = T - To; The light intensity of the previous minute is recorded as Lo, and the current light intensity is recorded as L. Then the change in light intensity is: ΔL = L - Lo; S103. Calculate the environmental stability index based on the following formula: Where I represents the environmental stability index.

4. The human body sensing intelligent control system based on infrared and radar combined technology according to claim 3 is characterized in that: The triggered action determination mechanism is as follows: When the radar in the sensing end detects fluctuations in motion signals, feature extraction technology is used to determine whether the motion signal collected by the radar is a micro-motion signal or a motion signal; when it is determined to be a micro-motion signal, a motion detection combination algorithm is used to determine whether there is anyone in the area covered by the system; when it is determined to be a motion signal, a motion detection verification algorithm is used to determine whether there is anyone in the area covered by the system.

5. The human body sensing intelligent control system based on infrared and radar combined technology according to claim 4 is characterized in that: The feature extraction technique used is either a time-frequency analysis method or a short-time Fourier transform; The process of determining whether the signal collected by the radar is a micro-motion signal or a motion signal is as follows: S201, the radar collects echo signal data at a predetermined sampling rate; S202, performing denoising and filtering processing on the collected echo signal data; S203, extracting frequency characteristics of echo signal data by feature extraction technology; S204, comparing the frequency feature with a preset standard threshold, if the frequency fluctuation difference between the first and last moments in the initial time period does not exceed the standard threshold, it is determined to be a micro-motion signal; Otherwise, it is determined to be a motion signal.

6. The human body sensing intelligent control system based on infrared and radar combined technology according to claim 4 is characterized in that: The motion detection combination algorithm used is: a combination algorithm based on motion and supplemented by infrared, combined with time sequence; The process of using the combined motion detection algorithm to determine whether there is a person in the system coverage area is as follows: Under the condition that it is determined to be a micro-motion signal, the micro-motion signal is collected evenly M times within the detection time window of M seconds; between the M times of collection, the infrared probe is used to intersperse and collect the infrared pyroelectric signal of the human body; If the infrared heat release signal of the human body is collected three times in a row within the detection time window, it is determined that there is a person; otherwise, it is determined that there is no one; Among them, M>3.

7. The human body sensing intelligent control system based on infrared and radar combined technology according to claim 6 is characterized in that: The dynamic detection and verification algorithm used is: a combination algorithm based on action and combined with the collection of infrared signals; The process of using the dynamic detection and verification algorithm to determine whether there is a person in the system coverage area is as follows: Under the condition that it is judged as a motion signal, radar is used to collect motion signals, and human infrared pyrolysis signals are collected interspersed for verification; after the radar detects the motion signal, it waits for the verification of the human infrared pyrolysis signal; if the analysis of the human infrared pyrolysis signal determines that there is motion, it is determined that there is a person; if the human infrared pyrolysis signal does not determine the existence of motion, it is determined that there is no person.

8. The human body sensing intelligent control system based on infrared and radar combined technology according to claim 1 is characterized by: The triggered infrared judgment mechanism is as follows: when the infrared probe in the sensing end detects the infrared thermal release signal of the human body, a thermal detection combination algorithm is used to determine whether there is anyone in the system coverage area.

9. The human body sensing intelligent control system based on infrared and radar combined technology according to claim 8 is characterized in that: The thermal detection combination algorithm used is: a combination algorithm based on infrared as the main and action as the auxiliary, combined with timing; The process of using the thermal detection combination algorithm to determine whether there is a person in the system coverage area is as follows: In the detection time window of M seconds, the infrared pyroelectric signals of the human body are collected M times evenly; between the M collections, the motion signals are collected interspersed by radar; if the motion signal is collected three times in a row within the detection time window, and the xy 2D plane hotspot motion discrimination technology is used to determine that the hotspot corresponding to the infrared pyroelectric signal of the human body moves, it is determined that there is a person; otherwise, it is determined that there is no person.

10. A human body sensing intelligent control method based on infrared and radar combined technology, using any system described in claims 1 to 9, characterized in that: The steps include: The control terminal is initialized and set; Obtain the indoor environmental parameters of the control terminal, build a comprehensive analysis model based on the environmental parameters, generate an environmental stability index, compare the environmental stability index with the set threshold, and output the comparison result; Receive the signal sent from the sensing end and receive the comparison result at the same time; when the environmental stability index exceeds the set threshold, the action judgment mechanism is triggered; when the environmental stability index does not exceed the set threshold, the infrared judgment mechanism is triggered; output the judgment result of the corresponding judgment mechanism; Receive the judgment result; when it is determined that there is someone, a trigger command is issued to connect the path between the power-on end and the power supply; when it is determined that there is no one, a closing command is issued to disconnect the path between the power-on end and the power supply after a set delay.

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