CN115438703B - Smart home biological identification system and identification method - Google Patents
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Abstract
The invention provides an intelligent household biological identification system and an identification method, which comprise the following steps: the sensing module is used for focusing infrared light emitted by a human body based on the Fresnel lens to obtain a sensing signal and sensing the existence of a living body in a defense area; the microwave detection module is used for performing microwave detection on the position of the living body after the living body is determined to exist in the defense area to obtain a microwave signal; the central control module is used for carrying out centralized analysis on the induction signals and the microwave signals by utilizing a biological information database to determine the biological category of the living body; whether a living body moves in a defense area is preliminarily determined, the moving speed, distance, angle and the like of the living body are further determined, the living body is accurately detected, and finally, the living body is comprehensively detected, so that accurate biological identification of the interior of the defense area is realized, corresponding measures are taken according to biological identification results, and the safety of the defense area is ensured.
Description
Technical Field
The invention relates to the technical field of biological identification, in particular to an intelligent household biological identification system and an identification method.
Background
The intelligent home is an intelligent living environment which integrates the functions of building, information household appliances, equipment automation and network communication, integrates system, service, structure and management into a whole and takes a house as a platform. The intelligent home system organically combines various subsystems related to home life, such as security protection, light control, various information appliances and the like, by utilizing a comprehensive wiring technology, an advanced network communication technology and an automatic control technology, and effectively improves the safety, energy conservation and comfort of a home environment through networked comprehensive intelligent control and management.
With the continuous development of social economy and cultural life, providing public services and ensuring public safety become very important works of relevant departments. The entrance and exit of lawless persons from non-channel ports can appear in places such as homes, hotels, warehouses, offices and the like, the existing security system does not uniformly and comprehensively manage and control personnel entering and exiting areas in different modes, the sealing performance of the areas cannot be well guaranteed, and therefore real-time monitoring needs to be carried out on the inside of the areas to guarantee the safety of the areas.
Disclosure of Invention
The invention provides an intelligent home biological identification system and an intelligent home biological identification method, which can ensure the safety of a region by accurately identifying organisms in a monitored region.
An intelligent home biological identification system, comprising:
the sensing module is used for focusing infrared light rays emitted by an object based on the Fresnel lens to obtain sensing signals and sensing the existence of living bodies in a defense area;
the detection module is used for detecting the position of the living body after the living body exists in the defense area to obtain a detection signal;
and the central control module is used for carrying out centralized analysis on the induction signals and the detection signals by utilizing a biological information database to determine the biological category of the living body.
Preferably, the method further comprises the following steps: the transmission module is used for transmitting the induction signal to the central control module to sense the existence of the living body in the defense area, transmitting a starting instruction to the detection module after the living body in the defense area is determined, and controlling the detection module to perform detection work;
the transmission module is further used for transmitting the detection signal to the central control module.
Preferably, the sensing module includes:
the focusing unit is used for focusing infrared light rays emitted by an object through a Fresnel lens at preset time intervals to obtain a focused light ray set;
the conversion unit is used for analyzing the focusing light ray set and converting the focusing light ray set to obtain an induction signal;
the difference analysis unit is used for dividing the induction signals according to the preset time interval to obtain a plurality of groups of sub-signals, and comparing signal characteristics between two adjacent groups of sub-signals in the plurality of groups of sub-signals to obtain difference characteristics;
the judging unit is used for judging whether the difference degree of the difference characteristics is greater than a preset difference degree or not, and if yes, determining that a living body exists in the defense area; otherwise, determining that no living body exists in the defense area.
Preferably, the detection module includes:
a detection direction unit for predicting a rough movement locus of the living body based on the sensing signal and determining a detection direction based on the movement locus;
a first transmitting unit for transmitting a first signal to the detection direction by using a living body detection technique;
the second transmitting unit is used for transmitting a second signal to the detection direction by utilizing a microwave detection technology to obtain a second receiving signal;
the first signal and the second received signal serve as the detection signal.
Preferably, the central control module includes:
the signal marking unit is used for carrying out time marking on the induction signals and the detection signals based on time to obtain time induction signals and time detection signals;
the signal intercepting unit is used for intercepting a corresponding target detection signal from the time detection signal based on the moving state corresponding to the time induction signal, and acquiring a first target signal and a second target signal from the target detection signal;
the analysis fusion unit is used for analyzing the first target signal and the second target signal to obtain a first characteristic diagram, and expanding the first characteristic diagram by combining the induction signal to obtain a second characteristic diagram;
and the identification unit is used for obtaining the biological category based on the first characteristic diagram and the second characteristic diagram.
Preferably, the analysis fusion unit includes:
the signal analysis unit is used for processing the first target signal to obtain a first time domain graph and a first frequency spectrogram, acquiring a corresponding frequency range when the energy is greater than preset energy from the first frequency spectrogram, acquiring a corresponding time range from the first time domain graph based on the frequency range, and establishing a first distribution graph based on the frequency range and the time range;
the signal analysis unit is further configured to obtain a difference signal between the second target signal and the second transmitting signal, input the difference signal into a signal conversion device for signal conversion, obtain a fluctuation signal, and establish a characteristic association diagram between a time characteristic and a fluctuation characteristic of the fluctuation signal;
and the fusion unit is used for fusing the first distribution graph and the characteristic association graph based on the time attribute to obtain a first characteristic graph, and expanding the first characteristic graph by combining the time characteristic of the induction signal to obtain a second characteristic graph.
Preferably, the identification unit includes:
the first identification unit is used for extracting the characteristics of the first characteristic diagram to obtain a plurality of attribute characteristics, matching each attribute characteristic by using the biological information database to obtain corresponding single biological information, and selecting common biological information in the single biological information as the biological category;
and the second identification unit is used for carrying out biological action identification analysis on the second characteristic diagram based on the biological characteristics of the biological category to obtain the moving speed and the moving track of the living body and establish a track dynamic diagram.
Preferably, the first identification unit includes:
the extraction unit is used for extracting biological data from the biological information database by taking the first feature map as an extraction basis to obtain a biological data set under the attribute features;
a constraint setting unit configured to assign a difference limit to the attribute feature based on an importance of the attribute feature in a biometric feature, determine an acquirable value range of the attribute feature based on the difference limit, acquire single biometric information satisfying the acquirable value range of each attribute feature from the biometric data set, and determine a constraint condition of a related attribute feature of the single biometric information based on the biometric data set;
and the selection unit is used for selecting the common biological information of the single biological information and selecting the obtained biological category.
Preferably, the specific workflow of the selection unit is as follows:
selecting common biological information of the single biological information to obtain a preliminary biological category, and judging whether the number of the preliminary biological categories is greater than 1;
if so, screening the preliminary biological categories to obtain preselected biological categories meeting the constraint conditions, establishing a feature scoring model based on the acquirable value range of the attribute features, inputting biological information of the preselected biological categories into the feature scoring model to obtain the score of each biological category, and selecting the preselected biological category with the highest score as the final biological category of the living body;
and if not, inputting the biological information of the preliminary biological category into the feature scoring model to obtain a corresponding unique score, judging whether the unique score is larger than a preset score, if so, taking the preliminary biological category as a final biological category, and otherwise, determining that the living body is not in the screening range.
A smart home biometric identification method comprises the following steps:
s1: focusing infrared light rays emitted by an object based on a Fresnel lens to obtain a sensing signal and sensing the existence of a living body in a defense area;
s2: after determining that a living body exists in the defense area, detecting the position of the living body to obtain a detection signal;
s3: and carrying out centralized analysis on the induction signals and the detection signals by utilizing a biological information database to determine the biological category of the living body.
Additional features and advantages of the invention will be set forth in the description which follows, and in part will be obvious from the description, or may be learned by practice of the invention. The objectives and other advantages of the invention will be realized and attained by the structure particularly pointed out in the written description and claims hereof as well as the appended drawings.
The technical solution of the present invention is further described in detail by the accompanying drawings and embodiments.
Drawings
The accompanying drawings, which are included to provide a further understanding of the invention and are incorporated in and constitute a part of this specification, illustrate embodiments of the invention and together with the description serve to explain the principles of the invention and not to limit the invention. In the drawings:
fig. 1 is a structural diagram of an intelligent home biological identification system according to an embodiment of the present invention;
FIG. 2 is a block diagram of the detection module according to an embodiment of the present invention;
fig. 3 is a flowchart of an intelligent home biometric identification method according to an embodiment of the present invention.
Detailed Description
The preferred embodiments of the present invention will be described in conjunction with the accompanying drawings, and it will be understood that they are described herein for the purpose of illustration and explanation and not limitation.
Example 1
An embodiment of the present invention provides an intelligent home biological identification system, as shown in fig. 1, including:
the sensing module is used for focusing infrared light emitted by an object based on the Fresnel lens to obtain a sensing signal and sensing the existence of a living body in a defense area;
the detection module is used for detecting the position of the living body after the living body exists in the defense area to obtain a detection signal;
and the central control module is used for carrying out centralized analysis on the induction signals and the detection signals by utilizing a biological information database to determine the biological category of the living body.
In this embodiment, the sensing module may be specifically a human body sensor, the human body sensor focuses infrared light emitted by a human body through a fresnel lens, and determines whether the human body is in a moving state to sense the existence of a living body in a defense area, and then reports the acquired data to the central control module.
In this embodiment, the microwave detection module may be embodied as a microwave living body presence sensor, and by using a living body detection technology, the microwave detection module can accurately detect movement, micro-motion and respiration signals, and report the detected living body presence to the central control system through an RS485 bus, or even cooperate with an indoor microwave sensor, and detect some physical quantities by using the characteristics of microwaves, so as to sense the presence, motion speed, distance, angle, and other information of an object, and the microwaves transmitted by the transmitting antenna are absorbed or reflected when encountering the object to be detected, so that the power changes, and if the microwaves reflected by the object to be detected are received by the receiving antenna and converted into electrical signals, and then the electrical signals are processed by the measurement circuit, so that the microwave detection is realized, and finally, the microwaves are reported to the central control module through the RS485 bus.
In this embodiment, the central control module combines all the collected sensor information and a large amount of biological information databases of the central control system to comprehensively analyze data and judge which living being is.
In this embodiment, the detection module applies a living body detection technique and a microwave detection technique.
In this embodiment, the home biometric identification system further includes: the display module is used for displaying the image and text of the biological category of the living body, and displaying the image and text of the biological category of the living body by setting the display module, so that the viewing of workers is facilitated, corresponding measures can be better taken, and the safety of a defense area is ensured.
The beneficial effect of above-mentioned design is: the infrared light emitted by a human body is focused through the Fresnel lens of the sensing module to obtain a sensing signal, whether the living body moves in a defense area can be preliminarily determined, after the living body moves, the detection module is started to detect the position of the living body to obtain a detection signal, the movement speed, the distance, the angle and the like of the living body can be further determined, the living body can be accurately detected, finally, the central control module carries out centralized analysis on the sensing signal and the microwave signal by utilizing a biological information database to determine the biological category of the living body, so that the comprehensive detection of the living body is realized, the accurate biological identification of the interior of the defense area is realized, corresponding measures are made according to the biological identification result, and the safety of the defense area is ensured.
Example 2
On the basis of the embodiment 1, the embodiment of the invention provides an intelligent home biological identification system, which further comprises: the transmission module is used for transmitting the induction signal to the central control module to sense the existence of the living body in the defense area, and transmitting a starting instruction to the detection module after determining that the living body exists in the defense area, so as to control the detection module to perform detection work;
the transmission module is further used for transmitting the detection signal to the central control module.
In this embodiment, the transmission module uses an RS485 bus to transmit information.
The beneficial effect of above-mentioned design is: the information communication among the induction module, the detection module and the central control module is realized by arranging the transmission module, so that the biological identification is assisted.
Example 3
On the basis of embodiment 1, an embodiment of the present invention provides an intelligent home biometric identification system, where the sensing module includes:
the focusing unit is used for focusing infrared light rays emitted by an object through a Fresnel lens at preset time intervals to obtain a focused light ray set;
the conversion unit is used for analyzing the focusing light set and converting the focusing light set to obtain an induction signal;
the difference analysis unit is used for dividing the induction signals according to the preset time interval to obtain a plurality of groups of sub-signals, and comparing signal characteristics between two adjacent groups of sub-signals in the plurality of groups of sub-signals to obtain difference characteristics;
the judging unit is used for judging whether the difference degree of the difference characteristics is greater than a preset difference degree or not, and if yes, determining that a living body exists in the defense area; otherwise, determining that no living body exists in the defense area.
In this embodiment, the sensing signal is obtained by converting the set of focused light rays into an electrical signal.
In this embodiment, the preset difference degree is specifically set according to the movement characteristic.
The beneficial effect of above-mentioned design is: the infrared light emitted by the human body is focused through the Fresnel lens of the sensing module to obtain a sensing signal, whether the living body moves in a defense area can be preliminarily determined, and a basis is provided for further detection of the living body.
Example 4
Based on embodiment 1, an embodiment of the present invention provides an intelligent home biometric identification system, and as shown in fig. 2, the detection module includes:
a detection direction unit for predicting a coarse movement locus of the living body based on the sensing signal and determining a detection direction based on the coarse movement locus;
a first transmitting unit, configured to transmit a first signal to the detection direction by using a living body detection technology;
the second transmitting unit is used for transmitting a second signal to the detection direction by utilizing a microwave detection technology to obtain a second receiving signal;
the first signal and the second received signal serve as the detection signal.
In this embodiment, the method is configured to predict a coarse movement trajectory of the living body based on the sensing signal, and determine the detection direction based on the coarse movement trajectory specifically as follows:
determining the moving position of the living body based on the induction signal, and predicting the track of the living body based on the moving position and by combining the layout characteristics of defense zones to obtain a coarse moving track;
determining the detection area of a detection instrument, and judging whether the coarse movement track is in the detection area;
if so, determining that the detection direction of the detection instrument is static, and pointing the detection direction to the coarse movement track;
otherwise, determining that the detection direction of the detection instrument is dynamic, and dynamically setting the detection direction according to the moving speed of the coarse moving track.
In this embodiment, the first received signal obtained by the living body detection technique is used to represent the movement, micromotion, breathing characteristics of the living body.
In this embodiment, the second received signal obtained by the microwave detection technique is used to represent the moving speed, distance, and angle characteristics of the living body.
In this embodiment, the microwave emitted from the transmitting antenna is absorbed or reflected when encountering the object to be measured, so that the power is changed, and if the receiving antenna is used to receive the microwave passing through or reflected by the object to be measured, and convert it into an electrical signal, and then the electrical signal is processed by the measuring circuit, so that the microwave detection is realized.
The beneficial effect of above-mentioned design is: firstly, the moving track of the living body is predicted through the induction signal, the detection direction is determined based on the moving track, a foundation is provided for detection, then, the living body detection technology and the microwave detection technology are respectively utilized to transmit signals to the detection direction, finally, detection signals are obtained, the moving speed, the distance, the angle and the like of the living body can be further determined, and the living body can be accurately detected.
Example 5
Based on embodiment 1, an embodiment of the present invention provides an intelligent home biological identification system, where the central control module includes:
the signal marking unit is used for carrying out time marking on the induction signals and the detection signals based on time to obtain time induction signals and time detection signals;
the signal intercepting unit is used for intercepting a corresponding target detection signal from the time detection signal based on the moving state corresponding to the time induction signal, and acquiring a first target signal and a second target signal from the target detection signal;
the analysis fusion unit is used for analyzing the first target signal and the second target signal to obtain a first characteristic diagram, and expanding the first characteristic diagram by combining the induction signal to obtain a second characteristic diagram;
and the identification unit is used for obtaining the biological category based on the first characteristic diagram and the second characteristic diagram.
In this embodiment, the first characteristic map is a characteristic map of a time corresponding to a moving state of the living body, and the second characteristic map is a characteristic map of the living body over time in both the moving state and the stationary state.
In this embodiment, the first target signal is derived from the first signal and the second target signal is derived from the second received signal.
The beneficial effect of above-mentioned design is: the central control module analyzes the obtained induction signal and detection signal, firstly intercepts a target detection signal based on the induction signal, removes other signal signals useless for living body characteristic detection, improves the target signal analysis efficiency, secondly obtains a first distribution diagram to represent the respiration characteristic of a living body by mainly starting from the relation between energy and frequency from a first target signal in the target detection signal, determines the motion characteristic of the living body such as speed, direction, distance and the like from a second target signal by transmitting and receiving a difference signal between returned signals, obtains a correlation characteristic diagram, then fuses the detection results of the first target signal and the second target signal according to time attributes to obtain a first characteristic diagram completely representing the living body, determines the biological category of the living body by combining with a biological information database, and simultaneously determines the track of the living body by obtaining a second characteristic diagram of the whole living body detection time based on the induction signal, thereby realizing accurate biological identification in a defense area, and making corresponding measures according to the biological identification result to ensure the safety of the defense area.
Example 6
On the basis of embodiment 5, an embodiment of the present invention provides an intelligent home biological recognition system, where the analysis and fusion unit includes:
the signal analysis unit is used for processing the first target signal to obtain a first time domain graph and a first frequency spectrogram, acquiring a corresponding frequency range when the energy is greater than preset energy from the first frequency spectrogram, acquiring a corresponding time range from the first time domain graph based on the frequency range, and establishing a first distribution graph based on the frequency range and the time range;
the signal analysis unit is further configured to obtain a difference signal between the second target signal and the second transmitting signal, input the difference signal into a signal conversion device for signal conversion, obtain a fluctuation signal, and establish a characteristic association diagram between a time characteristic and a fluctuation characteristic of the fluctuation signal;
and the fusion unit is used for fusing the first distribution graph and the characteristic association graph based on time attributes to obtain a first characteristic graph, and expanding the first characteristic graph by combining the time characteristics of the induction signals to obtain a second characteristic graph.
In this embodiment, the processing of the first and second target signals includes a de-noising process.
In this embodiment, the fluctuation signal is used to represent an action characteristic of the living body.
The beneficial effect of above-mentioned design is: intercepting a target detection signal based on an induction signal, removing other signals useless for living body characteristic detection, and improving the efficiency of target signal analysis, then, obtaining a first distribution diagram to represent the breathing characteristics of a living body from the relation between energy and frequency of a first target signal in the target detection signal, determining the action characteristics of the living body such as speed, direction, distance and the like from a difference signal between signals transmitted and received and returned by a second target signal to obtain a related characteristic diagram, then, fusing the detection results of the two according to time attributes to obtain a first characteristic diagram completely representing the living body, determining the biological type of the living body by combining a biological information database, and simultaneously, obtaining a second characteristic diagram of the whole detection time of the living body based on the induction signal to determine the track of the living body, thereby realizing accurate biological identification in a defense area, and making corresponding measures according to the biological identification result to ensure the safety of the defense area.
Example 7
On the basis of embodiment 5, an embodiment of the present invention provides an intelligent home biometric identification system, where the identification unit includes:
the first identification unit is used for extracting the characteristics of the first characteristic diagram to obtain a plurality of attribute characteristics, matching each attribute characteristic by using the biological information database to obtain corresponding single biological information, and selecting common biological information in the single biological information as the biological category;
and the second identification unit is used for carrying out biological action identification analysis on the second characteristic diagram based on the biological characteristics of the biological category to obtain the moving speed and the moving track of the living body and establish a track dynamic diagram.
The beneficial effect of above-mentioned design is: and based on the induction signal, obtaining a second characteristic diagram of the whole detection time of the living body to determine the track of the living body, thereby realizing accurate biological identification in the defense area, and making corresponding measures according to the biological identification result to ensure the safety of the defense area.
Example 8
Based on embodiment 7, an embodiment of the present invention provides an intelligent home biometric identification system, where the first identification unit includes:
the extraction unit is used for extracting biological data from the biological information database by taking the first feature map as an extraction basis to obtain a biological data set under the attribute features;
a constraint setting unit configured to assign a difference limit to the attribute feature based on an importance of the attribute feature in a biometric feature, determine an acquirable value range of the attribute feature based on the difference limit, acquire single biometric information satisfying the acquirable value range of each attribute feature from the biometric data set, and determine a constraint condition of a related attribute feature of the single biometric information based on the biometric data set;
and the selection unit is used for selecting the common biological information of the single biological information and selecting the obtained biological category.
In this embodiment, the attribute features include a fluctuation feature, a frequency feature, and a time feature, the frequency feature may specify a breathing condition of the living body, the fluctuation feature may specify motion information of the living body, and the behavior of the living body may be determined in combination with the time feature.
In the embodiment, the established track dynamic graph can visually display the moving condition of the living body, so that the behavior of the living body can be analyzed conveniently, early warning is timely performed, and safety is guaranteed.
In this embodiment, the database of biometric information is organized according to a category of living being threatening a defence area.
In this embodiment, the constraint condition of the relevant attribute feature of the single biological information, for example, if the single biological information indicates that the speed is a, the value of the respiratory frequency of the corresponding relevant attribute feature is b-c.
In this embodiment, a determination that the living subject is not within the screening scope indicates that the living subject does not constitute a threat to security of the defence area.
The beneficial effect of above-mentioned design is: firstly, extracting corresponding attribute features from a biological information database through a first feature map, endowing a difference limit to the attribute features based on the importance of the attribute features in the biological features to determine an available value range, widening a matching limit with the biological information database to obtain single biological information, ensuring the quantity of the single biological information, providing various information bases for subsequent accurate matching, determining constraint conditions among the features, providing a basis for further screening of biological categories, and finally, further screening the obtained preliminary biological categories in different ways according to the quantity to obtain final biological categories, thereby realizing comprehensive detection of living bodies, further realizing accurate biological identification in a defense area, and making corresponding measures according to biological identification results to ensure the safety of the defense area.
Example 9
On the basis of the embodiment 8, the embodiment of the invention provides an intelligent home biological identification system, which is characterized in that the specific working flow of the selection unit is as follows:
selecting common biological information of the single biological information to obtain a preliminary biological category, and judging whether the number of the preliminary biological categories is greater than 1;
if so, screening the preliminary biological categories to obtain preselected biological categories meeting the constraint conditions, establishing a feature scoring model based on the acquirable value range of the attribute features, inputting biological information of the preselected biological categories into the feature scoring model to obtain the score of each biological category, and selecting the preselected biological category with the highest score as the final biological category of the living body;
and if not, inputting the biological information of the preliminary biological category into the feature scoring model to obtain a corresponding unique score, judging whether the unique score is larger than a preset score, if so, taking the preliminary biological category as a final biological category, and otherwise, determining that the living body is not in the screening range.
In this embodiment, a determination that the living subject is not within the screening scope indicates that the living subject does not constitute a threat to security of the defence area.
The beneficial effect of above-mentioned design is: firstly, extracting corresponding attribute features from a biological information database through a first feature map, giving a difference limit to the attribute features to determine an acquirable value range based on the importance of the attribute features in the biological features, relaxing the matching limit with the biological information database, obtaining single biological information, ensuring the quantity of the single biological information, providing various information bases for subsequent accurate matching, determining constraint conditions among the features, providing a basis for further screening of biological categories, and finally, further screening the obtained preliminary biological categories in different ways according to the quantity to obtain final biological categories, thereby realizing comprehensive detection of living bodies, further realizing accurate biological identification in a defense area, making corresponding measures according to biological identification results, and ensuring the safety of the defense area.
Example 10
A smart home biometric identification method, as shown in fig. 3, includes:
s1: focusing infrared light rays emitted by an object based on a Fresnel lens to obtain a sensing signal and sensing the existence of a living body in a defense area;
s2: after the living body exists in the defense area, detecting the position of the living body to obtain a detection signal;
s3: and carrying out centralized analysis on the induction signals and the detection signals by utilizing a biological information database to determine the biological category of the living body.
The beneficial effect of above-mentioned design is: the infrared light emitted by a human body is focused through the Fresnel lens of the sensing module to obtain a sensing signal, whether the living body moves in a defense area can be preliminarily determined, after the living body moves, the detection module is started to detect the position of the living body to obtain a detection signal, the movement speed, the distance, the angle and the like of the living body can be further determined, the living body can be accurately detected, finally, the central control module carries out centralized analysis on the sensing signal and the microwave signal by utilizing a biological information database to determine the biological category of the living body, so that the comprehensive detection of the living body is realized, the accurate biological identification of the interior of the defense area is realized, corresponding measures are made according to the biological identification result, and the safety of the defense area is ensured.
It will be apparent to those skilled in the art that various changes and modifications may be made in the present invention without departing from the spirit and scope of the invention. Thus, if such modifications and variations of the present invention fall within the scope of the claims of the present invention and their equivalents, the present invention is also intended to include such modifications and variations.
Claims (9)
1. The utility model provides an intelligence house biological identification system which characterized in that includes:
the sensing module is used for focusing infrared light emitted by an object based on the Fresnel lens to obtain a sensing signal and sensing the existence of a living body in a defense area;
the detection module is used for detecting the position of the living body after the living body exists in the defense area to obtain a detection signal;
the central control module is used for carrying out centralized analysis on the induction signals and the detection signals by utilizing a biological information database to determine the biological category of the living body;
wherein, the central control module executes the following operations:
the signal marking unit is used for time marking the induction signals and the detection signals based on time to obtain time induction signals and time detection signals;
the signal intercepting unit is used for intercepting a corresponding target detection signal from the time detection signal based on the moving state corresponding to the time induction signal, and acquiring a first target signal and a second target signal from the target detection signal;
the analysis fusion unit is used for analyzing the first target signal and the second target signal to obtain a first characteristic diagram, and expanding the first characteristic diagram by combining the induction signal to obtain a second characteristic diagram;
and the identification unit is used for obtaining the biological category based on the first feature map and the second feature map.
2. The smart home biometric identification system according to claim 1, further comprising: the transmission module is used for transmitting the induction signal to the central control module to sense the existence of the living body in the defense area, and transmitting a starting instruction to the detection module after determining that the living body exists in the defense area, so as to control the detection module to perform detection work;
the transmission module is further used for transmitting the detection signal to the central control module.
3. The smart home biometric identification system of claim 1, wherein the sensing module comprises:
the focusing unit is used for focusing infrared light rays emitted by an object through a Fresnel lens at preset time intervals to obtain a focused light ray set;
the conversion unit is used for analyzing the focusing light set and converting the focusing light set to obtain an induction signal;
the difference analysis unit is used for dividing the induction signals according to the preset time interval to obtain a plurality of groups of sub-signals, and comparing signal characteristics between two adjacent groups of sub-signals in the plurality of groups of sub-signals to obtain difference characteristics;
the judging unit is used for judging whether the difference degree of the difference characteristics is greater than a preset difference degree or not, and if yes, determining that a living body exists in the defense area; otherwise, determining that no living body exists in the defense area.
4. The smart home biometric identification system according to claim 1, wherein the detection module comprises:
a detection direction unit for predicting a rough movement locus of the living body based on the sensing signal and determining a detection direction based on the movement locus;
a first transmitting unit, configured to transmit a first signal to the detection direction by using a living body detection technology;
the second transmitting unit is used for transmitting a second signal to the detection direction by utilizing a microwave detection technology to obtain a second receiving signal;
the first signal and the second received signal serve as the detection signal.
5. The smart home biometric identification system according to claim 1, wherein the analysis fusion unit comprises:
the signal analysis unit is used for processing the first target signal to obtain a first time domain graph and a first frequency spectrogram, acquiring a corresponding frequency range when the energy is larger than preset energy from the first frequency spectrogram, acquiring a corresponding time range from the first time domain graph based on the frequency range, and establishing a first distribution graph based on the frequency range and the time range;
the signal analysis unit is further configured to obtain a difference signal between the second target signal and the second transmitting signal, input the difference signal into a signal conversion device for signal conversion, obtain a fluctuation signal, and establish a characteristic association diagram between a time characteristic and a fluctuation characteristic of the fluctuation signal;
and the fusion unit is used for fusing the first distribution graph and the characteristic association graph based on time attributes to obtain a first characteristic graph, and expanding the first characteristic graph by combining the time characteristics of the induction signals to obtain a second characteristic graph.
6. The smart home biometric identification system according to claim 1, wherein the identification unit comprises:
the first identification unit is used for extracting the features of the first feature map to obtain a plurality of attribute features, matching each attribute feature by using the biological information database to obtain corresponding single biological information, and selecting common biological information in the single biological information as the biological category;
and the second identification unit is used for carrying out biological action identification analysis on the second characteristic diagram based on the biological characteristics of the biological category to obtain the moving speed and the moving track of the living body and establish a track dynamic diagram.
7. The smart home biometric identification system according to claim 6, wherein the first identification unit comprises:
the extraction unit is used for extracting biological data from the biological information database by taking the first feature map as an extraction basis to obtain a biological data set under the attribute features;
a constraint setting unit configured to assign a difference limit to the attribute feature based on an importance degree of the attribute feature in a biometric feature, determine an acquirable value range of the attribute feature based on the difference limit, acquire single biometric information satisfying the acquirable value range of each attribute feature from the biometric data set, and determine a constraint condition of a related attribute feature of the single biometric information based on the biometric data set;
and the selection unit is used for selecting the common biological information of the single biological information and selecting the obtained biological category.
8. The smart home biometric identification system according to claim 7, wherein the specific workflow of the selection unit is as follows:
selecting common biological information of the single biological information to obtain a preliminary biological category, and judging whether the number of the preliminary biological categories is greater than 1;
if so, screening the preliminary biological categories to obtain preselected biological categories meeting the constraint conditions, establishing a feature scoring model based on the acquirable value range of the attribute features, inputting biological information of the preselected biological categories into the feature scoring model to obtain scores of each biological category, and selecting the preselected biological categories with the highest scores as final biological categories of the living body;
and if not, inputting the biological information of the preliminary biological category into the feature scoring model to obtain a corresponding unique score, judging whether the unique score is larger than a preset score, if so, taking the preliminary biological category as a final biological category, and otherwise, determining that the living body is not in the screening range.
9. A smart home biometric identification method is characterized by comprising the following steps:
s1: focusing infrared light rays emitted by an object based on a Fresnel lens to obtain a sensing signal and sensing the existence of a living body in a defense area;
s2: after determining that a living body exists in the defense area, detecting the position of the living body to obtain a detection signal;
s3: performing centralized analysis on the induction signals and the detection signals by using a biological information database to determine the biological category of the living body;
wherein, using a biological information database to perform centralized analysis on the sensing signals and the detection signals to determine the biological category of the living body comprises:
time marking the induction signal and the detection signal based on time to obtain a time induction signal and a time detection signal;
intercepting a corresponding target detection signal from the time detection signal based on the moving state corresponding to the time induction signal, and acquiring a first target signal and a second target signal from the target detection signal;
analyzing the first target signal and the second target signal to obtain a first characteristic diagram, and expanding the first characteristic diagram and the second characteristic diagram by combining the induction signal to obtain a second characteristic diagram;
and obtaining the biological category based on the first feature map and the second feature map.
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