CN111417242A - Wireless sensing energy-saving lamp control system and control method - Google Patents
Wireless sensing energy-saving lamp control system and control method Download PDFInfo
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- CN111417242A CN111417242A CN202010276078.1A CN202010276078A CN111417242A CN 111417242 A CN111417242 A CN 111417242A CN 202010276078 A CN202010276078 A CN 202010276078A CN 111417242 A CN111417242 A CN 111417242A
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01S—RADIO DIRECTION-FINDING; RADIO NAVIGATION; DETERMINING DISTANCE OR VELOCITY BY USE OF RADIO WAVES; LOCATING OR PRESENCE-DETECTING BY USE OF THE REFLECTION OR RERADIATION OF RADIO WAVES; ANALOGOUS ARRANGEMENTS USING OTHER WAVES
- G01S13/00—Systems using the reflection or reradiation of radio waves, e.g. radar systems; Analogous systems using reflection or reradiation of waves whose nature or wavelength is irrelevant or unspecified
- G01S13/02—Systems using reflection of radio waves, e.g. primary radar systems; Analogous systems
- G01S13/04—Systems determining presence of a target
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01S—RADIO DIRECTION-FINDING; RADIO NAVIGATION; DETERMINING DISTANCE OR VELOCITY BY USE OF RADIO WAVES; LOCATING OR PRESENCE-DETECTING BY USE OF THE REFLECTION OR RERADIATION OF RADIO WAVES; ANALOGOUS ARRANGEMENTS USING OTHER WAVES
- G01S13/00—Systems using the reflection or reradiation of radio waves, e.g. radar systems; Analogous systems using reflection or reradiation of waves whose nature or wavelength is irrelevant or unspecified
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- Y02B—CLIMATE CHANGE MITIGATION TECHNOLOGIES RELATED TO BUILDINGS, e.g. HOUSING, HOUSE APPLIANCES OR RELATED END-USER APPLICATIONS
- Y02B20/00—Energy efficient lighting technologies, e.g. halogen lamps or gas discharge lamps
- Y02B20/40—Control techniques providing energy savings, e.g. smart controller or presence detection
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Abstract
A wireless perception energy-saving lamp control system and a control method thereof comprise a power supply management module, a brightness detection module, a millimeter wave radar detection module, a human body micro Doppler radar signal processing module, an intelligent lamp control decision control module and a relay module; the power management module is connected with the brightness detection module, the millimeter wave radar detection module and the human body micro Doppler radar signal processing module; the brightness detection module is connected with the intelligent lamp control decision control module; the intelligent lamp control decision control module is connected with the millimeter wave radar detection module; the millimeter wave radar detection module is connected with the human body micro Doppler radar signal processing module; the human body micro Doppler radar signal processing module is connected with the relay module. The invention realizes the automatic brightness detection of small areas, on one hand, avoids the trouble of manual switching, and on the other hand, overcomes the defect that the timing switch can not respond to the emergency such as weather change in real time.
Description
Technical Field
The invention belongs to the technical field of energy-saving lamp control, and particularly relates to a wireless perception energy-saving lamp control system and a control method.
Background
With the development of times and the emergence of electronic technology products, electric energy is inseparable from each department of national economy and daily life of people. However, electric energy can only be converted from primary energy through processing, and based on the type of primary energy, the electric energy technology developed and utilized at present mainly includes thermal power generation, hydroelectric power generation, wind power generation and atomic power generation. The thermal power generation mainly uses coal-fired power generation. As is well known, coal is a non-renewable resource, and when burning coal, a large amount of particulate matters (including primary PM2.5) and harmful gases such as sulfur dioxide, nitrogen oxides, hydrocarbons and the like are generated, and the gaseous pollutants are subjected to a series of chemical reactions in the atmosphere to generate secondary PM2.5, so that haze is formed, serious environmental pollution is caused, and the health of people is finally affected. Therefore, it is important to save power resources while developing an environment-friendly electric energy generation method.
At present, the problem of waste of power resources in different degrees exists in various public places, the phenomenon that students are few but have clear lighting in classrooms frequently occurs even though various colleges and universities study classrooms and libraries, various measures are provided for the purpose, such as calling for students to turn off lights randomly, setting special personnel for management, opening classrooms within a limited time and the like, but the effect is not good. In addition to the passive traffic light mode, there are also smart light control modes such as voice control mode and infrared mode. However, it is obviously not suitable to adopt the sound control method in the environments such as classrooms and libraries, which need to be kept quiet, and at the same time, the infrared detection is easily affected by the environment and shelters, and when the human body temperature is equal to the ambient temperature, the detection sensitivity is greatly reduced.
Disclosure of Invention
The invention aims to provide a wireless sensing energy-saving lamp control system and a control method, so as to solve the problems.
In order to achieve the purpose, the invention adopts the following technical scheme:
a wireless perception energy-saving lamp control system comprises a power supply management module, a brightness detection module, a millimeter wave radar detection module, a human body micro Doppler radar signal processing module, an intelligent lamp control decision control module and a relay module; the power management module is connected with the brightness detection module, the millimeter wave radar detection module and the human body micro Doppler radar signal processing module; the brightness detection module is connected with the intelligent lamp control decision control module; the intelligent lamp control decision control module is connected with the millimeter wave radar detection module; the millimeter wave radar detection module is connected with the human body micro Doppler radar signal processing module; the human body micro Doppler radar signal processing module is connected with the relay module.
Furthermore, the power management module is connected with a power supply and used for providing working voltage for other modules; the brightness detection module is used for automatically detecting the brightness in the detection area and transmitting the detected brightness value to the intelligent lamp control decision control module in real time.
Furthermore, the intelligent lamp control decision control module is used for carrying out decision control on the whole system, including control on the working state of the millimeter wave radar detection module and the working state of the relay.
Furthermore, the millimeter wave radar detection module is used for wirelessly transmitting millimeter wave radar detection signals and wirelessly receiving echo signals in the area where the millimeter wave radar detection module is located, and transmitting the echo signals to the human body micro Doppler radar signal processing module for further signal processing; the human body micro Doppler radar signal processing module is used for amplifying and filtering millimeter wave radar echo signals, extracting signal characteristics and transmitting the signal characteristics to the intelligent lamp control decision control module.
Further, the signal amplitude of the human body micro-motion signal detected by the millimeter wave radar is related to a radar scattering cross section RCS of the human body in a K wave band, typical characteristics of the human body micro-motion signal in different characteristic domains are analyzed according to an actual detection result, an optimal characteristic extraction method is selected according to a characteristic type, the signal frequency of the human body micro-motion signal detected by the millimeter wave radar is a Doppler frequency, the signal frequency is related to the 'micro-motion' speed of the human body, and the frequency is calculated as follows:
in the formula:
fd-a doppler frequency;
v-speed of movement;
λ -the radio frequency signal wavelength.
Further, a control method of the wireless perception energy-saving lamp control system comprises the following steps:
firstly, comparing a received brightness measured value of the brightness detection module with a preset threshold value, and not starting the millimeter wave radar detector for detection when the brightness value is higher than the threshold value; otherwise, when the brightness in the detection area is lower than the set threshold value, namely the current detection area is dim light or irrelevant, the millimeter wave radar detection module is started to further detect whether people exist in the detection area;
secondly, when the human body micro Doppler radar signal processing module detects human body characteristics, a relay is started to supply power to the lighting facilities to light people in the current detection area; otherwise, the current detection area is free of people and does not need to be illuminated.
Further, the feature extraction method of the human body micro Doppler radar signal processing module adopts the following steps: extracting micro Doppler by adopting a Wigner-Ville Wegener distribution and W-V distribution peak detection method, and effectively inhibiting a cross term by utilizing reconstructed smooth pseudo W-V distribution when extracting micro Doppler characteristics from multi-component signals; (Weignerviller Wigner-Ville, abbreviated as W-V).
Specifically, the method comprises the following steps:
① W-V distribution and instantaneous frequency
For the analytic signal z (t), the W-V distribution is defined as
For a discrete signal z (n) (1. ltoreq. n. ltoreq.M), the discrete W-V distribution is
W(m,k)＝FFT[R(m,n)](3)
Wherein FFT [ ·]Representing the fast Fourier transform, RM×(2N+1)Is an instantaneous autocorrelation matrix of the signal, expressed as
② W-V distribution peak detection method
The projection of the peak value of the W-V distribution on a time-frequency plane is an instantaneous frequency, and the instantaneous frequency is approximate to the instantaneous frequency by setting the discrete W-V distribution W (M, k) of the signal as an M × (2N +1) matrix
f(m)＝arg{max1≤k≤2N+1{W(m,k)}}, 1≤m≤M (5)
Wherein arg {. is a vector operation, if the signal is an echo of the micro-motion target to a single-frequency continuous wave, and the frequency shift caused by radial uniform translation is fuThen the micro Doppler is
fmicroD(m)＝f(m)-fu1≤m≤M (6)
A micro Doppler ratio of
Where Δ t is the sampling interval;
to ensure continuity of micro-doppler, it needs to be smoothed, i.e. smoothed
Wherein p is the smoothing window length;
③ first order time conditional method
The instantaneous frequency of the signal being the first conditional moment of time [22]
The discrete instantaneous frequency is expressed as
④ smooth pseudo W-V distribution (SPWVD)
As can be seen from the W-V distribution definition shown in equation (2), the W-V distribution is essentially a bilinear transformation, so-called "cross-term interference" will occur for multi-component signals, which results from cross-interaction between different signal components in the multi-component signals, and for general multi-component non-stationary signals, the cross-terms of various time-frequency distributions are very serious, and the reduced cross-term distribution (RID) is generally in the form of
It obtains ideal cross term inhibiting effect by adding combined window function to u and tau, and the W-V distribution has no window function, so that the idea of adding window to u and tau simultaneously is applicable to it, and the window function form adopted is g (u) h (tau), i.e. adding g (u) and h (tau) to u and tau respectively, so that the obtained W-V distribution is called SPWD, and defined as
In the formula, g (u) and h (τ) are both real even functions, and g (0) ═ h (0) ═ 1.
Compared with the prior art, the invention has the following technical effects:
the invention relates to a wireless perception energy-saving lamp control system based on human body micro Doppler radar characteristics, which realizes intelligent lamp control in a small area by combining automatic detection of area brightness and human body micro Doppler radar characteristics. When the brightness of a small area is insufficient and a person is in the area, the area is illuminated. The invention realizes the automatic brightness detection of small areas, on one hand, avoids the trouble of manual switching, and on the other hand, overcomes the defect that the timing switch can not respond to the emergency such as weather change in real time. The invention utilizes the Doppler characteristics of the human body micro-motion radar to detect the human body, and can realize real-time, high-sensitivity and accurate detection of the human body. The wireless perception energy-saving lamp control system based on the characteristics of the human body micro Doppler radar has the advantages of simple structure, small size, low cost, high sensitivity, no environmental influence and the like, can be used in all occasions needing to save electric energy resources, and is particularly suitable for environments with large spatial areas and relatively dispersed geographic positions of users, such as libraries, classrooms and the like.
Drawings
FIG. 1 is a block diagram of a system implementation of the present invention.
Fig. 2 is a functional schematic diagram of the system of the present invention.
Fig. 3 is a block diagram of a millimeter wave radar detection module of the present invention.
Fig. 4 is a block diagram of a signal processing module of the present invention.
Detailed Description
The invention is further described below with reference to the accompanying drawings:
referring to fig. 1 to 4, a wireless sensing energy-saving lamp control system includes a power management module, a brightness detection module, a millimeter wave radar detection module, a human body micro doppler radar signal processing module, an intelligent lamp control decision control module, and a relay module; the power management module is connected with the brightness detection module, the millimeter wave radar detection module and the human body micro Doppler radar signal processing module; the brightness detection module is connected with the intelligent lamp control decision control module; the intelligent lamp control decision control module is connected with the millimeter wave radar detection module; the millimeter wave radar detection module is connected with the human body micro Doppler radar signal processing module; the human body micro Doppler radar signal processing module is connected with the relay module.
Referring to fig. 2, the wireless sensing energy-saving lamp control system based on the human body micro doppler radar features of the present invention realizes automatic measurement of brightness in a detection area, and automatically performs illumination when the human body is detected in low light or no light, and takes "one lamp for one control", "one lamp for one area", "human being lamp on", and "human walking lamp off" as the final design objective. The method comprises the following steps: the device comprises a power management module, a brightness detection module, a millimeter wave radar detection module, a human body micro Doppler radar signal processing module, an intelligent lamp control decision control module and a relay module.
Referring to fig. 1, the power management module is responsible for converting 220V ac power into stable +5V dc voltage to provide working voltage for other modules. The brightness detection module automatically detects the brightness of the area where the millimeter wave radar detector is located, and the millimeter wave radar detector is started to work when weak light or no light exists, otherwise, the millimeter wave radar detector is only in a standby state, and therefore system energy consumption is further saved. The intelligent lamp control decision control module is responsible for carrying out decision control on the whole system and mainly comprises control over the working state of the millimeter wave radar detection module and the working state of the relay. Firstly, comparing the received brightness measured value of the brightness detection module with a preset threshold value, and when the brightness value is higher than the threshold value, not starting the millimeter wave radar detector for detection. Otherwise, when the brightness in the detection area is lower than the set threshold value, namely the current detection area is dim light or irrelevant, the millimeter wave radar detection module is started to further detect whether people exist in the detection area. And secondly, when the human body micro Doppler radar signal processing module detects human body characteristics, the relay is started to supply power to the lighting facilities so as to light people in the current detection area. Otherwise, the current detection area is free of people and does not need to be illuminated.
Referring to fig. 3, the millimeter wave radar detection module is responsible for detecting whether a person is in a detection area in a weak light or irrelevant light in real time and accurately. In order to detect the micro Doppler signals of the human body and achieve the purposes of simple installation and one-lamp one-control, the invention needs to adopt a small-size radar. The frequency of a signal transmitted by a radar is 24GHz (located in a K wave band), and a superheterodyne receiving mode is adopted for receiving. The beam width of the detection antenna is more than or equal to 60 degrees, and a Rogers 4350 plate with the dielectric constant of 3.66 and the thickness of 0.254mm is selected.
Referring to fig. 4, the human body micro doppler radar signal processing module is responsible for amplifying and filtering the signal detected by the millimeter wave radar detection module, and then extracting the signal characteristics, and determining whether there is a person in the detection area according to the characteristics. The signal amplitude of the human body micro-motion signal detected by the millimeter wave radar is related to RCS (radar scattering cross section) of the human body in a K wave band, typical characteristics of the human body micro-motion signal in different characteristic domains are analyzed according to an actual detection result, and an optimal characteristic extraction method is further selected according to a characteristic type and is physically realized. The signal frequency of the human body inching signal detected by the millimeter wave radar is Doppler frequency and is related to the speed of human body inching. The K-waveband electromagnetic wave is adopted to detect the human body micro-motion Doppler signal, and the signal has small amplitude and low frequency. Therefore, the method combining analog preprocessing and digital identification judgment is adopted to realize real-time processing and decision making on the human body micro-motion Doppler signals. Because the human body micro motion Doppler signal is a non-stationary signal which changes along with time, and the traditional Fourier transform does not contain time information, the human body micro motion Doppler signal cannot be analyzed by adopting the traditional Fourier transform. The high-resolution time-frequency distribution is an effective tool for dynamic signal and multi-signal analysis, and can acquire the time-varying characteristics of signals in a time and frequency two-dimensional space, so that the time-frequency distribution can be used for analyzing the return signals of the human body micro-motion radar. The invention aims to extract micro Doppler by adopting Wigner-Ville (W-V) distribution and W-V distribution peak detection method, and can effectively inhibit cross terms by using reconstructed smooth pseudo W-V distribution when extracting micro Doppler characteristics from multi-component signals.
As a complete embodiment, the following describes the working process of the wireless sensing energy-saving lamp control system based on the human body micro doppler radar feature in detail: when a brightness detection module of the system detects the brightness value of a current detection area, the brightness value is transmitted to an intelligent lamp control decision control module in real time, when the actual brightness value is lower than a brightness threshold value, a millimeter wave radar detection module is started to detect the current area, detection signals are transmitted to a human body micro Doppler radar signal processing module to be amplified, filtered and subjected to feature extraction, when millimeter wave signal features of a human body radar are extracted, a switch signal is transmitted to a relay to start an illumination facility to illuminate, and otherwise, the illumination facility is not illuminated. The wireless perception energy-saving light control that whether someone does not light or not when the brightness is sufficient and the brightness is insufficient and the lighting is only carried out when someone is achieved.
Claims (7)
1. A wireless perception energy-saving lamp control system is characterized by comprising a power supply management module, a brightness detection module, a millimeter wave radar detection module, a human body micro Doppler radar signal processing module, an intelligent lamp control decision control module and a relay module; the power management module is connected with the brightness detection module, the millimeter wave radar detection module and the human body micro Doppler radar signal processing module; the brightness detection module is connected with the intelligent lamp control decision control; the module intelligent lamp control decision control module is connected with the millimeter wave radar detection module; the millimeter wave radar detection module is connected with the human body micro Doppler radar signal processing module; the human body micro Doppler radar signal processing module is connected with the relay module.
2. The wireless sensing energy-saving lamp control system according to claim 1, wherein the power management module is connected with a power supply and used for providing working voltage for other modules; the brightness detection module is used for automatically detecting the brightness in the detection area and transmitting the detected brightness value to the intelligent lamp control decision control module in real time.
3. The wireless sensing energy-saving lamp control system according to claim 1, wherein the intelligent lamp control decision control module is used for performing decision control on the whole system, including control on the working state of the millimeter wave radar detection module and the working state of the relay.
4. The wireless sensing energy-saving lamp control system according to claim 1, wherein the millimeter wave radar detection module is used for wireless transmission of millimeter wave radar detection signals and wireless reception of echo signals in the area, and transmits the echo signals to the human body micro Doppler radar signal processing module for further signal processing; the human body micro Doppler radar signal processing module is used for amplifying and filtering millimeter wave radar echo signals, extracting signal characteristics and transmitting the signal characteristics to the intelligent lamp control decision control module.
5. The wireless sensing energy-saving lamp control system according to claim 4, wherein the signal amplitude of the human body inching signal detected by the millimeter wave radar is related to the radar scattering cross section RCS of the human body in the K wave band, typical characteristics of the human body inching signal in different characteristic domains are analyzed according to actual detection results, an optimal characteristic extraction method is selected according to characteristic types, the signal frequency of the human body inching signal detected by the millimeter wave radar is Doppler frequency, and is related to the speed of human body inching, and the frequency is calculated as follows:
in the formula:
fd-a doppler frequency;
v-speed of movement;
λ -the radio frequency signal wavelength.
6. A control method of a wireless sensing energy-saving lamp control system, which is based on any one of claims 1 to 5, and comprises the following steps:
firstly, comparing a received brightness measured value of the brightness detection module with a preset threshold value, and not starting the millimeter wave radar detector for detection when the brightness value is higher than the threshold value; otherwise, when the brightness in the detection area is lower than the set threshold value, namely the current detection area is dim light or irrelevant, the millimeter wave radar detection module is started to further detect whether people exist in the detection area;
secondly, when the human body micro Doppler radar signal processing module detects human body characteristics, a relay is started to supply power to the lighting facilities to light people in the current detection area; otherwise, the current detection area is free of people and does not need to be illuminated.
7. The control method of the wireless sensing energy-saving lamp control system according to claim 6, wherein the feature extraction method of the human body micro Doppler radar signal processing module adopts: extracting micro Doppler by adopting a Wigner-Ville Wegener distribution and W-V distribution peak detection method, and effectively inhibiting a cross term by utilizing reconstructed smooth pseudo W-V distribution when extracting micro Doppler characteristics from multi-component signals; W-V is the abbreviation of Wigner-Ville Wegener Ville;
specifically, the method comprises the following steps:
① W-V distribution and instantaneous frequency
For the analytic signal z (t), the W-V distribution is defined as
For a discrete signal z (n) (1. ltoreq. n. ltoreq.M), the discrete W-V distribution is
W(m,k)＝FFT[R(m,n)](3)
Wherein FFT [ ·]Representing the fast Fourier transform, RM×(2N+1)Is an instantaneous autocorrelation matrix of the signal, expressed as
② W-V distribution peak detection method
The projection of the peak value of the W-V distribution on a time-frequency plane is an instantaneous frequency, and the instantaneous frequency is approximate to the instantaneous frequency by setting the discrete W-V distribution W (M, k) of the signal as an M × (2N +1) matrix
f(m)＝arg{max1≤k≤2N+1{W(m,k)}},1≤m≤M (5)
Wherein arg {. is a vector operation, if the signal is an echo of the micro-motion target to a single-frequency continuous wave, and the frequency shift caused by radial uniform translation is fuThen the micro Doppler is
fmicroD(m)＝f(m)-fu1≤m≤M (6)
A micro Doppler ratio of
Where Δ t is the sampling interval;
to ensure continuity of micro-doppler, it needs to be smoothed, i.e. smoothed
Wherein p is the smoothing window length;
③ first order time conditional method
The instantaneous frequency of the signal being a first conditional moment of time
The discrete instantaneous frequency is expressed as
④ smooth pseudo W-V distribution (SPWVD)
As can be seen from the W-V distribution definition shown in equation (2), the W-V distribution is essentially a bilinear transformation, so-called "cross-term interference" will occur for multi-component signals, which results from cross-interaction between different signal components in the multi-component signals, and for general multi-component non-stationary signals, the cross-terms of various time-frequency distributions are very serious, and the reduced cross-term distribution (RID) is generally in the form of
It obtains ideal cross term inhibiting effect by adding combined window function to u and tau, and the W-V distribution has no window function, so that the idea of adding window to u and tau simultaneously is applicable to it, and the window function form adopted is g (u) h (tau), i.e. adding g (u) and h (tau) to u and tau respectively, so that the obtained W-V distribution is called SPWD, and defined as
In the formula, g (u) and h (τ) are both real even functions, and g (0) ═ h (0) ═ 1.
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