TWI448669B - Regional personnel positioning and activity evaluation method - Google Patents

Description

Method for detecting location and activity of personnel in the area

The invention relates to a method for detecting the position and activity of a person in an area, in particular to providing information on the daily activities of the area personnel, which can be used as a value-added application such as smart energy-saving management, smart home appliances, and home care services.

The power consumption of residential buildings accounts for more than 30% of the total electricity consumption in the country. How to improve the electricity efficiency of residential buildings and improve energy conservation and carbon reduction benefits is one of the topics of concern in the world, except through energy-saving equipment replacement and efficiency improvement. The building energy management system is currently the key development direction in the field of building energy conservation. Building energy management system technology is the last mile technology in the field of building energy-saving technology. It is also an important sub-system in the future smart grid system, through network communication, energy and environmental sensors, energy-saving control modules and Advanced communication technologies such as controllers, artificial intelligence energy consumption analysis, prediction and control can effectively control the traditional power consumption of buildings, and achieve regional energy through mechanisms such as accurate analysis, prediction calculation, and transaction of energy consumption information. Optimize the scheduling and the most economical use of electric energy to achieve the goal of zero-energy buildings in the future.

One example of conventional building energy management is Hitachi Appliances, which introduced a new air conditioning product in September 2009. The indoor unit can detect the position of the remote control and focus on temperature adjustment of its ambient temperature. The distance between the indoor unit and the remote control is divided into three levels: far, medium and near. The detection area of the air conditioner can divide the indoor into nine equal parts, and send air to the area where the remote controller is located, and then feel the temperature sensor on the remote controller. Ambient temperature Value, the airflow of the air with the appropriate temperature and air volume is blown to the area where the remote control is located. The remote control position represents the indoor personnel's active position, which can achieve energy-saving effect. It can save energy by about 14% during heating and about 25% when cooling.

A further embodiment of the conventional building energy management is that Matsushita Electric exhibited an air-conditioner that automatically detects the optimal wind direction and air volume in April 2009 to create an indoor air-conditioner comfort and energy saving. environment of. For the control of wind direction and air volume, energy waste of ineffective air supply can be avoided, and the energy saving effect can reach 30%. In addition, the air conditioner remote control also has the function of displaying electricity tariff and CO2 displacement, which can display “this electricity bill”, “this month’s electricity bill”, “last month’s electricity bill”, “the same month last year’s electricity bill”, “this CO2 emission amount”, And the "CO2 emissions this month" and other information for users to refer to.

Another embodiment of the conventional building energy management is a research paper published by the research team of Suk Lee Scholars in Korea in 2006, applying the human body infrared sensing module, developing an indoor regional personnel positioning system, and applying a complex Bayesian classifier algorithm to The disadvantage of improving the positioning accuracy is that it requires the use of complex arithmetic circuits, and the manufacturing cost thereof is relatively increased.

In addition, the existing indoor location personnel (Indoor Positioning System (IPS) includes: infrared (IR) portable tags, radio frequency identification (RFID), ultrasonic (Ultrasound) reflection and ranging , Radio Frequency (Radio Frequency), Geomagnetic Effect (Electronmagnetic), Image Processing and Identification (Computer Vision), etc., to evaluate and compare different indoor area personnel location detection technology, the following factors should be considered: 1. Security and privacy: The security and privacy of personnel location information is the most important consideration; 2. Cost: divided into basic detection equipment cost, cost of detecting components worn by personnel, and installation and installation costs; Performance: Accuracy and Precision; 4. Robustness and Fault Tolerance; 5. System Complexity; 6. User Preferences, Commodity Acceptance.

If the above conditions are not met, it is difficult to commercialize the indoor location detection technology in the indoor area. The present invention satisfies the above conditions and is a commercially viable method.

Based on solving the above-mentioned shortcomings of the prior art, the present invention is a method for detecting position and activity of a person in an area, and the main purpose is to apply a low-cost human body infrared sensing module to develop regional personnel position and daily activity. Perceptual technology, the security and privacy of personnel location information can be guaranteed, and the computing requirements of the overall system are greatly reduced, the development cost is low, and the commercialization acceptance is high. The positional positioning of regional personnel includes vertical and horizontal displacement, and the positioning error is less than 15.7. Within cm, it also provides information on the daily activities of regional personnel, which can be used as value-added applications such as smart energy management, smart home appliances, and home care services.

Another object of the present invention is to develop a front-end environment-aware module technology for a building energy management system for optimal energy management, that is, The source is transmitted to the place where the personnel are located, and the space provided by the personnel provides sufficient lighting and comfortable air conditioning. When the person leaves, the energy use can be automatically reduced, and the energy-consuming equipment can be adjusted to operate. And the province is the province, to achieve this application condition, the flow of people and activity information is very important, in the residential building, smart home application field, in order to not infringe the privacy of indoor staff, can immediately sense the location and activity of personnel Change the information and optimize the energy management.

In order to achieve the above object, the present invention is a method for detecting position and activity of a person in an area, which comprises: reading a analog signal of a complex array of human body infrared sensing module by using a micro control unit; Multiple arrays of different path tests are performed, and the signal outputs of the human body infrared sensing modules are separately obtained, and the micro control unit is used for an analysis process; the micro control unit is used to perform analog signals of each group of human body infrared sensing modules. The short-time energy calculation process; obtaining an energy curve and calculating the energy curve area; using an application software to calculate the area of the energy curve of different paths; using the application software to convert the energy curve area into the human body infrared sensing The relative distance of the module; and the application software to convert the relative distance of the complex array into the position coordinates and the activity amount of the regional personnel.

In order to further explain the present invention, the following drawings, drawings, and detailed descriptions of the invention can be Checking the work has helped.

The detailed structure of the present invention and its connection relationship will be described in conjunction with the following drawings to facilitate an understanding of the audit committee.

Please refer to FIG. 1 and FIG. 2 , which are schematic diagrams of detecting the position of the human body infrared sensing module by using the complex array, and the circuit structure diagram of the human body infrared sensing module of the present invention, wherein the human body infrared sensing module (Pyroelectric) Infrared Radial (PIR) 11, when the human body (heat source) 12 passes through the sensing area 13, the sensing signal is focused on the human body infrared sensing module 11 via a Fresnel lens 14, and processed by an analog amplification circuit. The corresponding signal is output, and it is determined whether there is a person 12 passing in front of the human body infrared sensing module 11. With its basic four sensing areas as the unit, it can sense the movement of "longitudinal" and "horizontal" of personnel 12, and the amount of activity of personnel 12.

FIG. 3A to FIG. 3 are schematic diagrams showing the structure of a sleeve structure in front of the human body infrared sensing module. FIG. 2 discloses that the Fresnel lens 14 is disposed on the human body by means of a sleeve structure 15 . The front end of the sensing module 11 can be disposed on a ceiling 16 in combination with the structure, and can adjust its focus sensing characteristics according to the indoor environment area.

Please refer to FIG. 4, which is a flow chart of the method for detecting the position and activity of the personnel in the region of the present invention, and the detection result of the position and activity of the personnel in the region is displayed by a digital oscilloscope. The specific implementation method steps are as follows: 21~ using a micro control unit (not shown) to read the complex array human body infrared The analog signal of the line sensing module, the micro control unit can be a single chip, an integrated circuit or a computer, and the appropriate firmware or software is used to control the operation of the complex array human body infrared sensing module, and the The micro control unit constructs a kinetic energy change model according to the human body position data to obtain a numerical value of the human activity quantity, the human body infrared sensing module is a pyroelectric type infrared sensor, and the complex array human body infrared sensing module The four groups are used as a basic unit; 22~ use the complex array personnel to perform the different path test of the complex array, and separately obtain the signal output of the human body infrared sensing module, and use the micro control unit to perform an analysis process; 23~ utilize The micro control unit performs short-term energy calculation processing of analog signals of each group of human infrared sensing modules; 24~ obtains an energy curve and calculates an energy curve area; 25~ uses an application software to perform energy curves of different paths Area calculation analysis; 26~ use the application software to convert the energy curve area into a relative distance from the human body infrared sensing module; and 27~ utilize Application software to coordinate the position of the person's activity area values relative distance converted into a plurality of groups.

The detailed explanations of the above seven steps are respectively as follows: Step 21. Using a micro control unit (not shown) to read the analog signal of the complex array human body infrared sensing module: the technology first conducts feasibility evaluation, and installs two The human body infrared sensing module, the installation position and the test mode are as shown in FIG. 5A, and at least the first human body sensing module 34 and the second human body sensing module 35 are disposed on the ceiling. The tester performs the first path 31, the second path 32, and the third path 33, each of which travels twice, and uses a digital oscilloscope to display and store the signal of the human body infrared sensing module. The signal output results of the two groups of analog infrared sensing modules (34, 35) are shown in Figure 5B. The output of Figure 5B shows that the selected human infrared sensing module output signal has a correlation with the range of its sensor sensing area. By means of multiple sets of human infrared sensing module mounting position and sensing area overlapping mode, the personnel can be distinguished. Where is the sensing area currently available, which can be adjusted for future technology development needs. The main hardware architecture circuit (not shown) of the present case is a sensing signal line integrated circuit board, and the power supply device supplies the working voltage of the human body infrared sensing module, when the human body infrared sensing module senses the lower side. When there is a person (heat source) in the area, the analog sensing signal is output to a micro control unit for signal processing. The application software of the signal of the human body infrared sensing module has the functions of hardware driving, setting, data reading, display and data storage, and can be used as a development platform for the human activity position detection algorithm in the region.

Step 22. Using the complex array personnel to perform different path test of the complex array, and separately obtaining the signal output of the human body infrared sensing module, and using the micro control unit to perform an analysis process: Please continue to refer to FIG. A feasibility analysis test, the different paths of the personnel walking and the human infrared sensing signal output have their correlation, and the physical characteristics are applied as the basis for the development of the regional personnel active position detecting algorithm.

Step 23: Using the micro control unit to perform short-distance energy calculation processing of analog signals of each group of human infrared sensing modules: Please refer to FIG. 6 to convert the distance sensing signals of FIG. 5B into The energy curve is an algorithm for developing a short-time energy curve area. Different paths of people can be analyzed to obtain different energy curves. The first path distance detecting signal 31 can be converted into a first distance converting energy curve 311; the second path distance detecting signal 32 can be converted into a second distance converting energy curve 321; the third path distance detecting signal 33 can be converted into The third distance converts the energy curve 331.

Step 24. Obtain an energy curve and calculate the energy curve area: Please refer to FIG. 7 , which is an integral area diagram of the energy curve of FIG. 6 . This embodiment is based on the second distance conversion energy curve 321 disclosed in FIG. 6 . For example, after the calculation and analysis, the integrated area 322 of the energy curve can be obtained. This embodiment discloses the basic method of curve integration to calculate the curve area.

Step 25. Using an application software to calculate the area of the energy curve of different paths: Please refer to Figure 8A for the integral area value representation of the first set of energy curves; see Figure 8B for the first The integral area numerical representation of the two sets of energy curves; see Figure 8C for the integral area numerical representation of the third set of energy curves, where the two testers A and B travel the path one to three to obtain the energy zone line , the integral calculates the area value. For example, the first path disclosed in FIG. 8A is passed by the A personnel, and the first integral area value 41 is 923.5274; the first path is passed by the B personnel, and the second integrated area value 42 is 856.2620. The second path disclosed in FIG. 8B is passed by the A personnel, and the third integral area value 43 is 567.4067; the second path is passed by the B personnel, and the fourth integral area value 44 is 624.5555. Figure 8C reveals that the third path is passed by the A staff, and its fifth The integral area value 45 is 167.7535; the third path is passed by the B personnel, and the sixth integral area value 46 is 147.3674.

Step 26. The application software is used to convert the energy curve area into a relative distance from the human body infrared sensing module: as shown in FIG. 9 , the energy integral area of the present invention is converted into a relative to the human body infrared sensing module. The distance diagram is calculated by the calculation process of the human body infrared sensation energy, and is converted into the distance between the walking path of the person in the sensing area and the center of the human body infrared sensing module (PIR). The detection range of the first human infrared sensing module 51 is the first sensing area 511, the first walking path 512 of a person passes through the first sensing area 511, and the first sensing area 511 detects The first human body infrared sensing energy conversion relative distance 54 is formed, and the first walking path 512 is the farthest from the first human body infrared sensing module 51, so the sensing energy is the smallest, but the first calculated The conversion of the human infrared sensing energy relative distance 54 is the largest (the ratio of energy to distance is inversely proportional) to indicate that the person is passing the edge of the first sensing region 511. The detection range of the second human body infrared sensing module 52 is the second sensing area 521. The second walking path 522 of a person passes through the second sensing area 521, and the second sensing area 521 is detected. Forming a second human body infrared sensing energy conversion relative distance 55, and the second traveling path 522 is a medium distance from the second human body infrared sensing module 52, so the sensing energy is also an intermediate value, and the calculated value is The second human infrared sensing energy conversion relative distance 55 value is an intermediate value to indicate that the person is equidistant through the second sensing region 511. The detection range of the third human body infrared sensing module 53 is the third sensing area 531, and the third walking path 532 of a person passes through the first sensing area 531, and the third The sensing area 531 detects the converted relative distance 56 of the third human body infrared sensing energy, and the third walking path 532 has the largest sensing energy because of the distance from the center point of the third human body infrared sensing module 53. However, the calculated third human infrared sensing energy conversion relative distance 56 value is the smallest to indicate that the person passes through the center point of the third sensing area 511. All energy and distance calculations are based on this embodiment to accurately calculate the position coordinates of the person.

Step 27. Using the application software to convert the relative distance of the complex array into the position coordinates and the activity amount of the regional personnel: Please refer to FIG. 10, which is the distance conversion detected by the four groups of human body infrared sensing modules. A schematic diagram of a position of a person, wherein the test method includes a first human body infrared sensing module 51, a second human body infrared sensing module 52, a third human body infrared sensing module 53, and a fourth human body infrared sensing module 57. The four groups of human body infrared sensing modules simultaneously detect a person position 58. The first four groups respectively form a first human body infrared sensing energy conversion relative distance 54 and a second human body infrared sensing energy conversion relative distance 55. The third human body infrared sensing energy conversion relative distance 56, and the fourth human body infrared sensing module 57 does not form any human body infrared sensing because the fourth sensing area 571 does not detect the human position 58. The relative distance of the energy conversion, the above-mentioned explicit expression is processed by the human body infrared sensing energy, and converted into the activity position and activity of the person in the sensing area. Case.

The human body infrared sensing module can be embedded in the ceiling of the human body infrared sensing module fixture sleeve, and the focus sensing area can be adjusted according to the scene environment. When the person moves, the creative technology analyzes the sensing module output signal amount. The value is simultaneously processed to calculate the output signals of the four sets of sensing modules. The output signal is calculated by the short-time energy to obtain the energy curve, and then integrated to calculate the curve area, the distance between the person displacement and the sensing module center and the curve area. In the proportional relationship, the gravity center formula with the lowest mathematical load is applied, and the calculation method is as follows. The calculation formula can convert the position and activity of the person in the focus sensing area where the adult body infrared sensing module is located.

The technology uses a five-meter square (5m x 5m) smart energy-saving home demo room (Demo room) as the technical measurement space 6, and a plurality of personal infrared sensing modules 61 are embedded in the ceiling to form a plurality of sensing areas. 62, to verify the location of the regional personnel and the daily activity volume perception, including the "longitudinal" and "horizontal" movement of the personnel, and the amount of personnel activity.

Please refer to FIG. 12 again, which is a schematic diagram of setting a first path for a person to walk in a space. In the space 6 disclosed in FIG. 11 , three subjects are tested in the experimental space. The first and second subjects walked the six-point path and returned to the origin 630, but the two paths were reversed, and the first subject's walking route (clockwise) was the origin 630 to the first. a position 631 to a second position 632 to a third position 633 to a fourth position 634 to a fifth position 635, and finally return to the origin 630 (as shown in the figure) 13A to 13X)). The second subject's walking route (counterclockwise direction) is the origin 630 to the fifth position 635 to the fourth position 634 to the third position 633 to the second position 632 to the first position 631, and finally returns to the origin 630 ( Figure 14A to Figure 14D). The third subject has only five points of walking path and is clockwise, and the walking route is the origin 640 to the first position 641 to the second position 642 to the third position 643 to the fourth position 644, and finally Go to the origin 640 (as shown in Figure 15A to Figure 15E).

The above test results show the trend of the walking path of the detecting personnel, and can detect the initial position of the person and enter the position and position detecting function without correction.

In order to confirm that the positioning error range of the technology can be less than 30cm in diameter, in order to meet the practical application requirements, the indicator coordinates are marked every 60cm on the Demo room floor of the 5m x 5m smart energy-saving family demonstration house, and the subject walks a specific coordinate point according to the instruction. The regional personnel activity position detection module identifies the person walking coordinate data output, and analyzes the positioning distance error value with the specified specific coordinate point to verify whether the personnel positioning error value meets the demand.

Please refer to FIG. 16 and FIG. 7 , which is a schematic diagram of setting a third path for a person to walk in a space in the present invention. The difference from FIG. 12 to FIG. 15E is an embodiment in which a person walks straight, wherein the requirement is The subject takes the initial point coordinate (180, 0) as the starting point 730, all the way to the first position coordinate (180, 60) to the second position coordinate (180, 120) to the third position coordinate (180, 180) From the coordinates of the fourth position (180, 240) to the coordinates of the fifth position (180, 300), and then returning to the initial point 730, the test is performed. The result of the experiment is analyzed, and the person identified by the center of the coordinate point and the detection module is identified. The coordinate center of the activity is observed by the data of the positioning error (cm) in Figure 17, and the positioning distance error is Within a diameter of 15.7 cm, it is in line with the method of detecting the amount of activity of a person at a low cost.

Through the disclosure of FIG. 1 to FIG. 17 above, it can be understood that the present invention is a method for detecting position and activity of a person in an area, and the main technical feature is to apply a low-cost human body infrared sensing module to develop a positional position of a person in an area. With the daily activity quantity sensing technology, the security and privacy of the personnel location information can be guaranteed, and the computing requirements of the overall system are greatly reduced, the development cost is low, the commercialization acceptance is high, and the positional positioning of the regional personnel includes vertical and horizontal displacement. The positioning error is less than 15.7cm, and provides information on the daily activities of regional personnel. It can be used as a value-added application such as smart energy management, smart home appliances, and home care services. At the same time, it develops the environment-aware module technology in front of the building energy management system to optimize the energy management, that is, to transfer energy to the place where the personnel are needed, and the space for personnel provides sufficient lighting, comfortable air conditioning, etc. When the personnel leave, they can automatically reduce the energy use and adjust the operation of the energy-consuming equipment. When it is used, the province and the province will save it. To achieve this application condition, the flow of people and activity information is very important. The smart home application field can optimize the energy management by instantly sensing the change information of the location and activity of the personnel without infringing the privacy of the indoor staff. The disclosure of technical content provides information on the daily activities of regional personnel, and can be used as a value-added application such as smart energy-saving management, smart home appliances, and home care services, and has a technical target that can be protected. Therefore, a patent application is filed to seek protection of patent rights.

In summary, the structural features and embodiments of the present invention have been disclosed in detail, and can fully demonstrate the progress of the invention in terms of purpose and efficacy, and is of great industrial value, and is currently Pre-existing in the market See the application, according to the spirit of the patent law, the invention is fully in line with the requirements of the invention patent.

The above is only the preferred embodiment of the present invention, and the scope of the present invention is not limited thereto, that is, the equivalent variations and modifications made by the scope of the present invention should still belong to the present invention. Within the scope of the patent, I would like to ask your review committee to give a clear understanding and pray for it. It is the prayer.

11‧‧‧ Human body infrared sensing module

12 ‧ ‧ staff

13‧‧‧Sensing area

14‧‧‧ Fresnel lens

15‧‧‧Sleeve structure

16‧‧‧ ceiling

21‧‧‧Using a micro control unit to read the complex array human body infrared sensing module Analog signal

22‧‧‧Using complex array personnel to perform complex path test for different arrays, and separately obtain the signal output of the human body infrared sensing modules, and use the micro control unit to perform an analysis process

23‧‧‧Using the micro control unit to calculate the short-term energy of analog signals of each group of human infrared sensing modules

24‧‧‧Get an energy curve and calculate the energy curve area

25‧‧‧Using an application software to calculate the area of the energy curve for different paths

26‧‧‧ Use the application software to convert the energy curve area into the relative distance from the human body infrared sensing module

27‧‧‧Using the application software to convert the relative distance of the complex array into the position coordinates and activity values of the regional personnel

31‧‧‧First path distance detection signal

311‧‧‧First distance conversion energy curve

32‧‧‧Second path distance detection signal

321‧‧‧Second distance conversion energy curve

322‧‧‧Integral area of energy curve

33‧‧‧ Third path distance detection signal

331‧‧‧ Third distance conversion energy curve

34‧‧‧First human body infrared sensing module

35‧‧‧Second human infrared sensing module

41‧‧‧ First integral area value

42‧‧‧Second integral area value

43‧‧‧ Third integral area value

44‧‧‧ Fourth integral area value

45‧‧‧ Fifth integral area value

46‧‧‧ sixth integral area value

51‧‧‧First human body infrared sensing module

511‧‧‧First sensing area

512‧‧‧First walking path

52‧‧‧Second human infrared sensing module

521‧‧‧Second sensing area

522‧‧‧Second walking path

53‧‧‧ Third human infrared sensing module

531‧‧‧ Third sensing area

532‧‧‧The third walking path

54‧‧‧ First human infrared sensing energy conversion relative distance

55‧‧‧Second human infrared sensing energy conversion relative distance

56‧‧‧ Third human infrared sensing energy conversion relative distance

57‧‧‧Fourth human infrared sensing module

571‧‧‧fourth sensing area

6‧‧‧ Space

61‧‧‧ Human body infrared sensing module

62‧‧‧Sensing area

630‧‧‧ origin

631‧‧‧ first position

632‧‧‧second position

633‧‧‧ third position

634‧‧‧ fourth position

635‧‧‧ fifth position

640‧‧‧ origin

641‧‧‧ first position

642‧‧‧second position

643‧‧‧ third position

644‧‧‧ fourth position

7‧‧‧ Space

71‧‧‧ Human body infrared sensing module

72‧‧‧Sensing area

730‧‧‧ starting point

731‧‧‧ first position

732‧‧‧second position

733‧‧‧ third position

734‧‧‧ fourth position

735‧‧‧ fifth position

FIG. 1 is a schematic diagram of detecting a position by using a complex array human body infrared sensing module according to the present invention; FIG. 2 is a schematic diagram of a circuit structure of the human body infrared sensing module of the present invention; FIG. 3A to C are the infrared rays of the present invention. A schematic diagram of a structure of a sleeve structure is added in front of the sensing module; FIG. 4 is a flow chart of a method for detecting position and activity of a person in the region of the invention; FIG. 5A is a plurality of human body infrared rays in the region of the invention. The sensing module detects the complex array path; FIG. 5B is the distance sensing signal curve of the human body infrared sensing module of FIG. 5A; FIG. 6 is the distance sensing signal of FIG. 5B. Converted into an energy curve; Figure 7 is the integral area map of the energy curve of Figure 6; Figure 8A is the integral area numerical representation of the first set of energy curves; Figure 8B is the integrated area of the second set of energy curves Numerical representation; Figure VIII is the numerical representation of the integral area of the third set of energy curves; FIG. 9 is a schematic diagram of the relative distance between the energy integral area of the present invention and the human body infrared sensing module; FIG. 10 is a schematic diagram of the distance detected by the four groups of human body infrared sensing modules converted into a person position coordinate; The eleventh series is a schematic diagram of the invention for setting a complex array human body infrared sensing module in a space; FIG. 12 is a schematic diagram of setting a first path for a person to walk in a space; FIG. 13A~D is Figure 12 is a schematic diagram of the first detection result; Figure 14A to D are schematic diagrams of the second detection result of Figure 12; Figure 15A is a schematic diagram of setting a second path for a person to walk in a space Figure 15B~E is a schematic diagram of the detection result of Figure 15A; Figure 16 is a schematic diagram of setting a third path for a person to walk in a space; Figure 17 is a detection of Figure 16. The result is schematic.

21‧‧‧Using a micro control unit to read analog signals of complex array human infrared sensing modules

22‧‧‧Using complex array personnel to perform complex path test for different arrays, and separately obtain the signal output of the human body infrared sensing modules, and use the micro control unit to perform an analysis process

23‧‧‧Using the micro control unit to calculate the short-term energy of analog signals of each group of human infrared sensing modules

24‧‧‧Get an energy curve and calculate the energy curve area

25‧‧‧Using an application software to calculate the area of the energy curve for different paths

26‧‧‧ Use the application software to convert the energy curve area into the relative distance from the human body infrared sensing module

27‧‧‧Using the application software to convert the relative distance of the complex array into the position coordinates and activity values of the regional personnel

Claims (13)

A method for detecting location and activity of a person in an area, comprising the steps of: (a) reading a analog signal of a complex array of human infrared sensing modules by using a micro control unit; (b) using a complex array of personnel Multiple arrays of different path tests are performed, and the signal outputs of the human body infrared sensing modules are separately obtained, and the micro control unit is used for an analysis process; (c) the micro control unit is used to perform each group of human body infrared sensing modes. (d) obtaining an energy curve and calculating the area of the energy curve; (e) using an application software to calculate the area of the energy curve of different paths; (f) using the application software The energy curve area is converted into a relative distance from the human body infrared sensing module; and (g) the application software is used to convert the complex array relative distance into the position coordinates and the activity amount values of the regional personnel. The method for detecting position and activity of a person in an area as described in claim 1 wherein the micro control unit constructs a kinetic energy change model according to the body position data to obtain a value of the amount of human activity. For example, the method for detecting the position and activity of personnel in the area mentioned in the first application of the patent scope, wherein the position coordinates and the activity amount of the personnel in the area are obtained by the following formula: The method for detecting position and activity of a person in an area as described in claim 1 is wherein the human body infrared sensing module is a pyroelectric type infrared sensor. The method for detecting position and activity of a person in an area as described in the first aspect of the patent application, wherein the front end of the human body infrared sensing module is further provided with a Fresnel lens. The method for detecting position and activity of a person in an area as described in claim 5, wherein the Fresnel lens is disposed at a front end of the human body infrared sensing module by means of a sleeve structure. For example, the method for detecting position and activity of a person in an area as described in claim 1 is wherein the complex array of human body infrared sensing modules is divided into four groups as a basic unit. The method for detecting location and activity of a person in an area as described in claim 1 wherein the micro control unit can be a single chip, an integrated circuit, or a computer. For example, the method for detecting the position and activity of a person in the area described in the first application of the patent scope, wherein the detection result of the position and activity of the person in the area is displayed by a digital oscilloscope. For example, the method for detecting the position and activity of a person in an area as described in the first application of the patent scope, wherein the application software has a hardware drive and design The function of setting, data reading, display and data storage. The method for detecting position and activity of a person in an area as described in claim 1 wherein, in the step (a), the complex array of human body infrared sensing modules are two sets, and are installed on the ceiling at least The first human sensing module and the second human sensing module are disposed, and the tester performs the first path, the second path and the third path, each path travels twice, and uses a digital oscilloscope to perform human body infrared sensing. The signal display and storage of the module, the signal output of the two groups of analog infrared sensing modules shows that the selected human infrared sensing module output signal has a correlation with the range of the human sensing area, and multiple sets of human infrared sense The installation location of the test module overlaps with the sensing area, which can distinguish where the sensor is currently in the sensing area, and can make an adjustment for future technical development needs. For example, in the method for detecting the position and activity of a person in the area described in the first application of the patent scope, in the step (c), the short-term energy calculation processing of the analog signal is a development of a short-time energy curve. Area algorithm, people walking different paths can analyze and obtain different energy curves. The method for detecting the position and activity of a person in an area as described in claim 1 of the patent application, wherein in the step (g), the method for testing the relative distance of the complex array into a position coordinate and the activity amount of the regional personnel The system includes a first human body infrared sensing module, a second human body infrared sensing module, a third human body infrared sensing module, and a fourth human body infrared sensing module. The four groups of human body infrared sensing modules simultaneously detect To the position of a person, the first four groups respectively form the conversion relative distance of the first human body infrared sensing energy and the relative distance of the second human body infrared sensing energy. The third human body infrared sensing energy is converted from the relative distance, and the fourth human infrared sensing module does not form any human infrared sensing energy conversion because the fourth sensing area does not detect the position of the human body. The relative distance is expressed by the arithmetic processing of the human body infrared sensing energy, and is converted into the situation of the activity position and the activity amount of the person in the sensing area.