CN110989031A - Human body detection method, device, system, electronic equipment and storage medium - Google Patents

Human body detection method, device, system, electronic equipment and storage medium Download PDF

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Publication number
CN110989031A
CN110989031A CN201910994020.8A CN201910994020A CN110989031A CN 110989031 A CN110989031 A CN 110989031A CN 201910994020 A CN201910994020 A CN 201910994020A CN 110989031 A CN110989031 A CN 110989031A
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sensor
human body
working area
sub
area
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CN110989031B (en
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刘福龙
邱明
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Shenzhen Lutuo Technology Co Ltd
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Shenzhen Lutuo Technology Co Ltd
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    • GPHYSICS
    • G01MEASURING; TESTING
    • G01VGEOPHYSICS; GRAVITATIONAL MEASUREMENTS; DETECTING MASSES OR OBJECTS; TAGS
    • G01V11/00Prospecting or detecting by methods combining techniques covered by two or more of main groups G01V1/00 - G01V9/00
    • YGENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02DCLIMATE CHANGE MITIGATION TECHNOLOGIES IN INFORMATION AND COMMUNICATION TECHNOLOGIES [ICT], I.E. INFORMATION AND COMMUNICATION TECHNOLOGIES AIMING AT THE REDUCTION OF THEIR OWN ENERGY USE
    • Y02D10/00Energy efficient computing, e.g. low power processors, power management or thermal management

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  • General Life Sciences & Earth Sciences (AREA)
  • General Physics & Mathematics (AREA)
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  • Geophysics And Detection Of Objects (AREA)

Abstract

The embodiment of the application discloses a human body detection method, a human body detection device, a human body detection system, electronic equipment and a storage medium. The method comprises the following steps: receiving first sensing information returned by a first sensor, wherein the first sensing information is information returned by the first sensor to scan a working area; under the condition that the human body exists in the working area according to the first sensing information, starting a second sensor to scan the working area in at least one direction; and receiving second sensing information returned by a second sensor, and determining a sub-area where the human body is located according to the second sensing information, wherein the sub-area is a plurality of areas obtained after the work area is partitioned. Therefore, the second sensor is triggered to start through the first sensor, the position of the human body is detected, the accuracy of human body detection is improved, the sub-area where the position of the human body is located is obtained, and therefore more refined management of equipment in the sub-area can be achieved.

Description

Human body detection method, device, system, electronic equipment and storage medium
Technical Field
The present application relates to the field of intelligent devices, and more particularly, to a method, an apparatus, a system, an electronic device, and a storage medium for human detection.
Background
With the progress of science and technology, human body detection technology is often used in life and work of people, and various functions can be realized through detection of human bodies. For example, when a human body is detected, the door is automatically opened and the lamp is turned on, so that convenience is brought to the life of people.
Generally, a human body is detected through a human body sensor, the human body is detected in a detection range through an infrared sensor, and due to the characteristics of the infrared sensor, when the human body is detected, misjudgment is easy to occur, so that the accuracy of human body detection is not high.
Disclosure of Invention
The embodiment of the application provides a human body detection method, a human body detection device, a human body detection system, electronic equipment and a storage medium, and aims to solve the problems.
In a first aspect, an embodiment of the present application provides a human body detection method, which is applied to an electronic device, and the method includes: receiving first sensing information returned by a first sensor, wherein the first sensing information is information returned by the first sensor to scan a working area; starting a second sensor to scan the working area in at least one direction under the condition that the human body exists in the working area according to the information of the first sensor; and receiving second sensing information returned by the second sensor, and determining a sub-area where the human body is located according to the second sensing information, wherein the sub-area is a plurality of areas obtained after the work area is partitioned.
In a second aspect, an embodiment of the present application provides a human body detection apparatus, which is applied to an electronic device, and includes: the receiving module is used for receiving first sensing information returned by a first sensor, wherein the first sensing information is information returned by a first sensor scanning working area; the detection module is used for starting a second sensor to scan the working area in at least one direction under the condition that the human body exists in the working area according to the first sensing information; and the determining module is used for receiving second sensing information returned by the second sensor and determining a sub-region where the human body is located according to the second sensing information, wherein the sub-region is a plurality of regions obtained after the work region is partitioned.
In a third aspect, an embodiment of the present application provides a human body detection system, where the system includes an electronic device, an intermediate device in communication connection with the electronic device, and a controlled device in communication connection with the intermediate device, where the electronic device sends a working area coordinate system and divided sub-areas to the intermediate device; the intermediate equipment distributes corresponding controlled equipment to the sub-areas; the electronic equipment sends the human body existence information and the sub-area where the human body is located to the intermediate equipment; and the intermediate equipment controls the controlled equipment corresponding to the sub-area.
In a fourth aspect, the present application provides an electronic device including one or more processors, a memory, and a computer program stored on the memory and executable on the processors, where the computer program, when executed by the processors, implements the method applied to the electronic device as described above.
In a fifth aspect, the present application provides a computer-readable storage medium, on which a computer program is stored, which, when executed by a processor, implements the method described above.
The human body detection method, the human body detection device, the human body detection system, the electronic equipment and the storage medium provided by the embodiment of the application receive first sensing information returned by a first sensor, wherein the first sensing information is information returned by a first sensor scanning working area; under the condition that the human body exists in the working area according to the first sensing information, starting a second sensor to scan the working area in at least one direction; and receiving second sensing information returned by a second sensor, and determining a sub-area where the human body is located according to the second sensing information, wherein the sub-area is a plurality of areas obtained after the work area is partitioned. Therefore, the second sensor is triggered to start through the first sensor, the position of the human body is detected, the accuracy of human body detection is improved, the sub-area where the position of the human body is located is obtained, and therefore more refined management of equipment in the sub-area can be achieved.
These and other aspects of the present application will be more readily apparent from the following description of the embodiments.
Drawings
In order to more clearly illustrate the technical solutions in the embodiments of the present application, the drawings needed to be used in the description of the embodiments are briefly introduced below, and it is obvious that the drawings in the following description are only some embodiments of the present application, and it is obvious for those skilled in the art to obtain other drawings based on these drawings without creative efforts.
Fig. 1 shows a flowchart of a human body detection method according to an embodiment of the present application.
Fig. 2 shows a flowchart of a human body detection method according to another embodiment of the present application.
Fig. 3 shows a flowchart of step S240 in the human body detection method according to an embodiment of the present application.
Fig. 4 shows a flowchart of a human body detection method according to another embodiment of the present application.
Fig. 5 illustrates an environment diagram of a workspace provided by an embodiment of the application.
Fig. 6 shows a flowchart of step S320 in a human body detection method according to an embodiment of the present application.
FIG. 7 illustrates a schematic diagram of a workspace coordinate system provided by one embodiment of the application.
Fig. 8 is a diagram illustrating division of a workspace provided by an embodiment of the application.
Fig. 9 shows a schematic diagram of determining a sub-region where a human body is located according to an embodiment of the present application.
Fig. 10 shows a flowchart of an interaction method of the human body detection system according to an embodiment of the present application.
Fig. 11 shows a data interaction diagram of a human body detection system according to an embodiment of the present application.
Fig. 12 is a schematic diagram illustrating a sub-area being allocated with a corresponding controlled device on an intermediate device according to an embodiment of the present application.
Fig. 13 is a functional block diagram of a human body detection device according to an embodiment of the present application.
Fig. 14 shows a block diagram of an electronic device for executing a human body detection method according to an embodiment of the present application.
Detailed Description
In order to make the technical solutions better understood by those skilled in the art, the technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application.
Generally, in working areas such as offices and factories, illumination, cooling, heating and the like need to be provided to meet daily work demands of people. In order to save energy, it is common to intelligently manage devices such as lighting, and to turn on the devices such as lighting when someone is working, and to turn off the devices such as lighting when nobody is working.
In order to realize intelligent management of these lighting devices, a human body detection device is usually installed at an entrance and an exit of a work area, and whether to start other lighting devices is determined by detecting whether a human body enters an office area. However, since the working area is wide, when a human body is detected at the doorway, all the devices such as lighting in the working area are activated, but in some areas of the working area, no human exists for a long time, and the devices such as lighting are also activated, which causes waste of energy. In addition, when a human body is detected at the entrance, misjudgment is easily caused when the human body is at the entrance but does not enter the working area, and thus energy waste is caused.
The inventor finds in research that if the work area can be divided into a plurality of sub-areas, and when a human body is detected, the sub-areas are determined according to the position of the human body, and then the sub-areas where the human body is located can be turned on to illuminate and other devices, so that energy is saved. And when detecting the human body, adopt two different sensors to detect, improve the human body and detect the degree of accuracy, avoid the mistake to touch.
Therefore, the inventor proposes a human body detection method in the embodiment of the application, which receives first sensing information returned by a first sensor, wherein the first sensing information is information returned by the first sensor to scan a working area; under the condition that the human body exists in the working area according to the first sensing information, starting a second sensor to scan the working area in at least one direction; and receiving second sensing information returned by a second sensor, and determining a sub-area where the human body is located according to the second sensing information, wherein the sub-area is a plurality of areas obtained after the work area is partitioned. Therefore, the second sensor is triggered to start through the first sensor, the position of the human body is detected, the accuracy of human body detection is improved, the sub-area where the position of the human body is located is obtained, and therefore more refined management of equipment in the sub-area can be achieved.
The embodiments of the present application will be described in detail below with reference to the accompanying drawings.
Referring to fig. 1, an embodiment of the present application provides a human body detection method, which may be applied to an electronic device, and the method may include:
step S110: receiving first sensing information returned by a first sensor, wherein the first sensing information is information returned by the first sensor to scan a working area.
When a human body is detected, the first sensor can be started to scan the working area, wherein the first sensor can have low power consumption and high response speed, such as an infrared sensor. The infrared sensor can be arranged at a key position of the working area, for example, at an entrance and an exit of the working area, if the infrared sensor detects a human body at the entrance and the exit, a person can be considered to enter or leave the working area. The infrared sensor can return first sensing information after scanning the working area, and whether a human body is detected can be judged by analyzing the first sensing information.
Because the infrared sensor is not high in human body detection precision, the phenomenon of misjudgment is possible to occur, and therefore the second sensor is started to conduct more accurate scanning when the human body exists in the working area through analysis of the first sensing information.
Step S120: and under the condition that the human body in the working area is judged according to the first sensing information, starting a second sensor to scan the working area in at least one direction.
And when the first sensing information returned by the first sensor is analyzed, if the working area is judged to have the human body, the second sensor is started to scan the whole working area. The second sensor can be a sensor which can keep good performance under any lighting condition, accurately sense the motion track and position of the human body and can detect the static human body, such as a multichannel millimeter wave biological radar. Because the power consumption of the multichannel millimeter wave biological radar is high, the starting of the multichannel millimeter wave biological radar can be triggered through the first sensor, and when the first sensor detects that a human body exists, the multichannel millimeter wave biological radar is started to scan a working area.
When the second sensor is started to scan the working area, due to the fact that the area of the working area is large and the scanning range is limited, the second sensor can be rotated to scan the other direction of the working area after the second sensor scans the certain direction of the working area, and therefore the scanning of the whole working area can be achieved.
Step S130: and receiving second sensing information returned by the second sensor, and determining a sub-area where the human body is located according to the second sensing information, wherein the sub-area is a plurality of areas obtained after the work area is partitioned.
When the second sensor scans the working area, second sensing information returned by the second sensor can be received, whether a human body is detected or not can be judged through analysis of the second sensing information, and if the human body is detected, the second sensing information is further analyzed to determine the position information of the human body.
The divided working areas and the sub-areas corresponding to the working areas are stored in advance, and the sub-areas where the human body is located can be determined according to the position information of the human body. Therefore, the equipment in the area can be managed in a refined mode according to the area where the position of the human body is located.
The detection precision of the first sensor is low, but the power consumption is low; the second sensor has high detection accuracy but high power consumption. The operating states of the first sensor and the second sensor may be controlled.
As an embodiment, the first sensor may be kept in an operating state all the time, and when the first sensor detects a human body, the second sensor is activated; if the second sensor does not detect a human body within a first preset time, the scanning frequency can be reduced, and if the second sensor does not detect a human body within a second preset time, the second sensor can enter a dormant state, wherein the second preset time is longer than the first preset time. Through the continuous work of first sensor, promote human detection's accuracy.
As another embodiment, when the first sensor is started to detect a human body, the second sensor is started, and when the second sensor is started, the first sensor is controlled to enter a dormant state; if the second sensor does not detect a human body within a first preset time, the scanning frequency can be reduced, and if the second sensor does not detect a human body within a second preset time, the second sensor can enter a dormant state, wherein the second preset time is longer than the first preset time; and when the second sensor enters a dormant state, controlling the first sensor to enter a working state. The first sensor and the second sensor work alternately to reduce the overall energy consumption of the electronic device.
The human body detection method provided by the embodiment of the application receives first sensing information returned by a first sensor, wherein the first sensing information is information returned by a first sensor scanning working area; under the condition that the human body exists in the working area according to the first sensing information, starting a second sensor to scan the working area in at least one direction; and receiving second sensing information returned by a second sensor, and determining a sub-area where the human body is located according to the second sensing information, wherein the sub-area is a plurality of areas obtained after the work area is partitioned. Therefore, the second sensor is triggered to start through the first sensor, the position of the human body is detected, the accuracy of human body detection is improved, the sub-area where the position of the human body is located is obtained, and therefore more refined management of equipment in the sub-area can be achieved.
Referring to fig. 2, another embodiment of the present application provides a method for detecting a human body, where a process of determining whether a human body exists according to first sensing information and second sensing information is described in detail on the basis of the previous embodiment, and the method may include:
step S210: and starting the first sensor to scan the working area.
Step S220: and receiving first sensing information returned by the first sensor.
When the electronic equipment is started, the first sensor can be started by default to scan the working area. Or a start button of the first sensor may be arranged on the electronic device, and after the electronic device is started, a user may start the first sensor to perform scanning when the scanning is required. When the first sensor scans the working area, the first sensor can receive first sensing information returned by the first sensor in real time.
Step S230: judging whether the first sensing information is larger than a first preset threshold value or not; if yes, go to step S240, otherwise go to step S220.
When first sensing information returned by the first sensor is received, the first sensing information can be analyzed to judge whether a human body exists. Specifically, the first sensing information is a continuous signal, the continuous signal is analyzed, and when the amplitude of the signal is greater than a first preset threshold, it can be considered that a human body is detected. The first preset threshold is a critical value at which the first sensor detects the existence of the human body, and may be obtained by correcting the first sensor in advance. If the value of the received first sensing information is larger than a preset threshold value, the human body is considered to be detected; if the value of the received first sensing information is smaller than a first preset threshold value, the noise signal can be considered to be present.
If the first sensing information is determined to be greater than the first preset threshold, it is determined that a human body is detected, then step S240 is executed; if it is determined that the first sensing information is not greater than the first preset threshold, it is determined that the human body is not detected, step S220 is performed, and the first sensing information returned by the first sensor is continuously received.
Step S240: and starting a second sensor to scan the working area in at least one direction, and receiving second sensing information returned by the second sensor.
When the human body is judged to exist through the first sensing information, the second sensor is started to scan the working area, and the detection range of the second sensor cannot completely cover the working area, so that the second sensor can be controlled to rotate to scan the range of the whole working area.
Specifically, referring to fig. 3, the method may include the following steps:
step S241: and receiving second sensing information returned by the second sensor when the second sensor scans the area of the current position.
The second sensor may start from a certain azimuth when scanning the working area, and when the azimuth is scanned, an interrupt signal may be returned while returning the second sensing information, and when the electronic device receives the interrupt signal, the electronic device controls the second sensor to rotate according to the interrupt signal.
Step S242: and controlling the second sensor to rotate to the next direction for scanning so as to scan the whole working area.
And when the interrupt signal is received, the second sensor can be controlled to rotate by a preset angle so as to change the scanned area, so that the whole working area is scanned. The preset angle can be determined in advance according to the scanning range of the second sensor. For example, the scanning range of the second sensor is a region 15 ° back and forth around the second sensor, the scanning range of the entire second sensor is 30 °, the preset angle can be determined to be 30 °, and when an interrupt signal is received once, the second sensor is controlled to rotate 30 °. Therefore, the scanning area of the second sensor in each direction is not overlapped, and the scanning of the whole working area is accelerated.
Step S250: judging whether the second sensing information is larger than a second preset threshold value or not; if yes, go to step S260; if not, go to step S220.
When the second sensor scans the whole working area, second sensing information returned by the second sensor can be received in real time, and whether a human body is detected or not can be judged by analyzing the second sensing information.
The second preset threshold is a critical value of the second sensor for detecting the human body. The second preset threshold may be determined when the second sensor is calibrated in advance. Second sensing information returned by the second sensor is a continuous signal, the continuous signal is analyzed, and if the amplitude of the continuous signal is greater than a second preset threshold value, the second sensor can be considered to detect a human body; if the amplitude of the continuous signal is not greater than the second predetermined threshold, it is considered to be an occurring noise signal.
If the second sensing information is judged to be larger than the second preset threshold value, the second sensor is considered to detect the human body, and step S260 is executed; if the second sensing information is judged to be not larger than the second preset threshold value, the second sensor is judged not to detect the human body, the second sensor can be closed, and the first sensing information returned by the first sensor is continuously received.
As an embodiment, the scan of the second sensor may be continued for a preset time. The second sensor may be controlled to scan the workspace at a different frequency. For example, a first scanning frequency and a second scanning frequency are preset, wherein the first scanning frequency is greater than the second scanning frequency; the method comprises the steps of presetting first preset time and second preset time, wherein the second preset time is larger than the first preset time. And when the existence of the human body is judged according to the first sensing information, starting a second sensor to scan the working area at a first scanning frequency, controlling the second sensor to scan the working area at a second scanning frequency if the human body is not detected within a first preset time after the second sensor is started, and closing the second sensor if the human body is not detected within a second preset time after the second sensor is started.
As another embodiment, after the second sensor completes the scanning of the whole working area through rotation, and no human body is detected, the second sensor may be turned off.
Step S260: and acquiring the distance and the angle of the human body relative to the second sensor, and determining the sub-region where the human body is located according to the distance and the angle.
The electronic equipment is internally pre-stored with a working area and partition information for dividing the working area into sub-areas. When the second sensor returns second sensing information, the second sensing information comprises angle information and distance information, wherein the angle information is the angle of the detected object relative to the second sensor based on the positive direction, and the distance information is the linear distance of the detected object relative to the second sensor. Therefore, the position of the human body in the working area can be determined according to the angle information and the distance information, and the sub-area where the human body is located can be obtained according to the partition information.
The human body detection method provided by the embodiment of the application starts a first sensor to scan a working area and receives first sensing information returned by the first sensor; judging whether the first sensing information is larger than a first preset threshold value or not, if so, starting a second sensor to scan the work in at least one direction, and receiving second sensing information returned by the second sensor; judging whether the second sensing information is larger than a second preset threshold value or not; if so, acquiring the distance and the angle of the human body relative to the second sensor, and determining the sub-region where the human body is located according to the distance and the angle. Thereby start the second sensor through first sensor, control the second sensor and rotate and make the second sensor sweeps whole workspace to realize more accurate human detection, promote the degree of accuracy that human detected.
Referring to fig. 4, another embodiment of the present application provides a human body detection method, where a process of setting a work area in a partition is described in detail on the basis of the previous embodiment, and the method may include:
step S310: receiving first sensing information returned by a first sensor, wherein the first sensing information is information returned by the first sensor to scan a working area.
Step S310 may refer to corresponding parts of the foregoing embodiments, and will not be described herein again.
Step S320: and receiving a partition configuration instruction, acquiring the working area and performing partition setting on the working area.
The partition configuration instruction may be transmitted by an intermediate device connected to the electronic device. When the electronic device receives the partition configuration instruction, the working area can be obtained and the partition setting can be performed on the working area. In the actual working area, a plurality of marking points are placed in advance, wherein when the second sensor is scanned, the marking points can generate special signal values different from those of other objects to be scanned, so that the second sensor can scan the marking points placed in the working area and perform partition setting on the working area. Referring to fig. 5, an environment schematic diagram of a working area is shown, in the working area 100, a plurality of mark points 101 are placed in advance, a second sensor is arranged in the working area, the working area is scanned, the plurality of mark points 101 can be detected, and the position information of the mark points 101 relative to the second sensor is returned, so that the working area can be set in a partitioned manner. Referring to fig. 6, the partition setting of the working area may specifically include the following steps.
Step S321: and receiving the position information of the mark point returned by the second sensor when the mark point in the working area is scanned, wherein the position information of the mark point comprises the distance and the angle of the mark point relative to the second sensor.
When the second sensor scans the working area, the second sensor generates a special signal value when the marking points are scanned, so that the signal value is analyzed, and the angle and the distance of each marking point relative to the second sensor can be obtained.
Step S322: and constructing a working area coordinate system by taking the second sensor as a coordinate origin, and determining the position of the mark point in the working area coordinate system according to the distance and the angle of the mark point to obtain partition information.
In order to determine the position information of the detected mark point relative to the second sensor, a working area coordinate system may be constructed with the second sensor as a coordinate origin, and for example, the working area environment shown in fig. 5, reference may be made to fig. 7 for the working area coordinate system constructed with the coordinate origin by the second sensor. And the point O is the origin of the working area coordinate system, namely the position of the second sensor, wherein 102 is the position of the mark point in the working area coordinate system. When the second sensor detects the mark point, the distance information of the mark point relative to the second sensor, namely the line segment 103, is returned, and the angle information of the mark point relative to the second sensor, namely the angle 104, is returned. The position of each marking point in the coordinate system of the working area can be known.
Before returning the position information of the marker point, it may be that a positive direction is set in advance to determine the angle information, for example, the positive direction is the X-axis direction in fig. 7, that is, when the angle information of the marker point on the X-axis is 0 °, the angle information of the marker point on the Y-axis is 90 °. It is understood that the positive direction may be set according to actual requirements, and is not limited herein.
The position relation of each mark point in the working area coordinate system is obtained by establishing the working area coordinate system, so that the partition information can be obtained.
Step S323: and dividing the working area according to the partition information.
When the position of the mark point in the working area coordinate system is determined, corresponding partition information can be obtained, and the working area can be divided according to the partition information. Specifically, the boundary of the working area and the partition line may be obtained, where the boundary of the working area is used to outline the working area approximately, and the partition line is used to divide the working area into a plurality of sub-areas.
As in the foregoing example, the second sensor detects that there are 9 markers in the working area, and the position information of the 9 markers in the working area coordinate system is the partition information. If the partition rule is stored in the electronic device in advance, the partition information may be analyzed according to the partition rule to obtain a partition boundary and a partition line, and the work area is divided, and the partition rule may be set according to an actual work environment, which is not specifically limited herein. For example, as shown in the working area coordinate system in fig. 7, the partition rule is to divide the working area into four rectangular areas, and the partition boundary and the partition line corresponding to the partition information can be obtained by parsing the partition information, as shown in fig. 8, a schematic diagram of the division of the working area is shown, where the partition boundary obtained by parsing the partition information is a solid line 105, and the partition line is a dashed line 106, and the working area can be divided into four rectangular areas, which are an a1 area, an a2 area, a B1 area, and a B2 area, respectively.
After the partition setting is completed, a working area coordinate system and the divided sub-areas can be obtained, the electronic device can directly store the working area coordinate system and the divided sub-areas, and can also send the working area coordinate system and the divided sub-areas to the intermediate device, the intermediate device can adjust the partitions according to the working area coordinate system and the divided sub-areas to obtain the adjusted sub-areas, the adjusted sub-areas are sent to the electronic device, and the electronic device updates the working area coordinate system and the divided sub-areas to the adjusted sub-areas.
Step S330: and starting a second sensor to scan the working area in at least one direction under the condition that the human body exists in the working area according to the first sensing information.
Step S330 may refer to corresponding parts of the foregoing embodiments, and will not be described herein again.
Step S340: and receiving second sensing information returned by the second sensor, and determining the sub-area where the human body is located according to the second sensing information.
The corresponding working area coordinate system and the divided sub-areas are preset in the electronic equipment, if the second sensor detects a human body, distance information and angle information of the human body relative to the second sensor can be obtained according to second sensing information returned by the second sensor, the position of the human body is represented on the working area coordinate system, and the sub-area where the human body is located can be determined. As shown in fig. 9, 107 represents the position of the human body in the coordinate system of the working area, so that the sub-area where the human body is located can be determined as the a2 area.
The human body detection method provided by the embodiment of the application comprises the steps of receiving a partition configuration instruction, setting a work area in a partition mode, and returning the position information of a mark point when the mark point in the work area is scanned by a second sensor, wherein the position information of the mark point comprises the distance and the angle of the mark point relative to the second sensor; establishing a working area coordinate system by taking the second sensor as a coordinate origin, and determining the position of the mark point in the working area coordinate system according to the distance and the angle of the mark point to obtain partition information; and dividing the working area according to the partition information, so that the division result of each sub-area of the working area can be obtained, and the sub-area where the human body is located can be conveniently determined.
Referring to fig. 10, another embodiment of the present application provides an interaction method in a human body detection system, and the method for data interaction of each device between human body detection systems is described in detail on the basis of the foregoing embodiment. The system may include an electronic device, an intermediary device communicatively coupled to the electronic device, and a controlled device communicatively coupled to the intermediary device. The electronic device comprises a first sensor and a second sensor, the intermediate device can be a user terminal, an intelligent gateway with a display function and other devices, and the controlled device can be a lamp, a fan and other intelligent electrical equipment. Referring also to fig. 11, an interaction process among the electronic device, the intermediate device, and the controlled device is shown. The method can comprise the following steps:
step S410: and the electronic equipment sends the working area coordinate system and the divided sub-areas to the intermediate equipment.
The second sensor in the electronic device obtains a corresponding working area coordinate system and the divided sub-areas through scanning of the working area, the electronic device can send the working area coordinate system and the divided sub-areas to the intermediate device, and the intermediate device can change the division of the working area or allocate corresponding controlled devices to each sub-area in the working area.
Step S420: and the intermediate equipment allocates corresponding controlled equipment for the sub-areas.
After receiving the working area coordinate system and the divided sub-areas, the intermediate device may display the coordinate system and the divided sub-areas. The user can subdivide the sub-area through the intermediate device, or allocate the corresponding controlled device to the sub-area. Specifically, the sequence of repartitioning the sub-regions and allocating the corresponding controlled devices to the sub-regions is not limited herein.
The method for allocating controlled equipment to each sub-area may be that one of the sub-areas is selected from the displayed sub-areas, a controlled equipment list is displayed, and the controlled equipment is allocated to the sub-area by selecting the controlled equipment from the controlled equipment list. Referring to fig. 12, a schematic diagram of the allocation of corresponding controlled devices to the sub-areas on the intermediate device is shown. Wherein 108 is a sub-area selected by a user, a corresponding setting interface of the sub-area can be entered, 109 is a controlled device list, wherein the controlled device list includes a plurality of controlled devices, and the user can assign the controlled devices to the selected sub-area by touching or clicking the corresponding controlled devices.
So that each sub-area can be assigned a corresponding controlled device.
If the sub-area division of the working area needs to be adjusted after the controlled device is allocated to the sub-area, the controlled device may be allocated to the sub-area again after the sub-area is newly divided. In one embodiment, if the user performs the merging operation only on the original sub-areas, the adjustment may be performed according to the controlled devices allocated to the original sub-areas. For example, the controlled devices set by the user for the a1 zone are device 1 and device 2, and the controlled device set for the a2 zone is device 3. The user merges the a1 area and the a2 area to obtain a new sub-area a12, and then the device 1 and the device 2 corresponding to the a1 area and the device 3 corresponding to the a2 area may be used as the controlled device corresponding to the new sub-area a 12.
As another embodiment, after detecting the repartitioning of the user into sub-areas, the newly allocated sub-areas are displayed, and the user may newly allocate the controlled device to each sub-area according to the displayed sub-areas.
Step S430: and the electronic equipment sends the human body existence information and the sub-area where the human body is located to the intermediate equipment.
When the electronic equipment detects a human body, the electronic equipment can acquire the sub-region where the human body is located, and then sends the human body existence information and the sub-region where the human body is located to the intermediate equipment so as to instruct the intermediate equipment to control the controlled equipment corresponding to the sub-region where the human body is located.
Step S440: and the intermediate equipment controls the controlled equipment corresponding to the sub-area.
When receiving the human body presence information and the sub-area where the human body is located, the intermediate device acquires the controlled device allocated to the sub-area, and can send a control instruction to the controlled device to control the controlled device. For example, if the intermediate device receives the human body presence information and the sub-area where the human body is located is the area a1, the intermediate device acquires the controlled device allocated to the area a1, and the controlled device is the device 1, and the lighting lamp sends a control instruction to the lighting lamp to control the lighting lamp to be turned on or turned off. Therefore, when the human body is detected, the illumination of the subarea where the human body is located is controlled to be turned on, and after the human body leaves the subarea, the corresponding illumination is turned off, so that energy is saved.
According to the human body detection method provided by the embodiment of the application, through data interaction among the electronic equipment, the intermediate equipment and the controlled equipment, a user can set the sub-areas divided by the working area as required, when the electronic equipment detects a human body, the human body existence information and the sub-areas where the human body is located are sent to the intermediate equipment, and the intermediate equipment can control the controlled equipment corresponding to the sub-areas according to the sub-areas where the human body is located, so that fine management can be carried out on the controlled equipment in the working area, and energy is saved.
Referring to fig. 13, which illustrates a human body detection apparatus 500 provided in an embodiment of the present application, which can be applied to an electronic device, the human body detection apparatus 500 includes a receiving module 510, a detecting module 520, and a determining module 530. The receiving module 510 is configured to receive first sensing information returned by a first sensor, where the first sensing information is information returned by the first sensor to scan a working area; the detection module 520 is configured to start a second sensor to scan the working area in at least one direction under the condition that it is determined that a human body exists in the working area according to the first sensing information; the determining module 530 is configured to receive second sensing information returned by the second sensor, and determine a sub-area where a human body is located according to the second sensing information, where the sub-area is a plurality of areas obtained by partitioning the working area.
The second sensor is triggered to start through the first sensor, the position of the human body is accurately detected, the position information of the human body is obtained through analyzing second sensing information returned by the second sensor, the sub-region where the human body is located is determined according to the position information, and the accuracy of human body detection is improved.
Further, the detection module 520 is further configured to receive second sensing information returned by the second sensor when the second sensor scans the area of the current position; and controlling the second sensor to rotate to the next direction for scanning so as to scan the whole working area.
After the second sensor scans one azimuth, the second sensor is controlled to rotate to scan the next azimuth, so that the whole working area is scanned, and the accuracy of human body detection can be improved.
Further, the human body detecting device 500 further includes a first starting module, configured to start the first sensor to scan the working area before the receiving module 510 receives the first sensing information returned by the first sensor; the judging module is used for judging whether the first sensing information is larger than a first preset threshold value after receiving the first sensing information returned by the first sensor; and if so, judging that the human body exists in the working area.
The method comprises the steps of scanning a working area through a first sensor, returning first sensing information, analyzing the first sensing information, judging that a human body is detected when the first sensing information is larger than a first preset threshold value, and avoiding misjudgment caused by noise.
Further, partitioning results of the working area partitioned into a plurality of sub-areas are stored in advance, and the determining module 530 is further configured to analyze the second sensing information and determine whether the second sensing information is greater than a second preset threshold; if so, acquiring the distance and the angle of the human body relative to the second sensor, and determining the sub-region where the human body is located according to the distance and the angle.
The partition results of the working area divided into the plurality of sub-areas are stored in advance, and when the second sensor detects a human body, the position and the angle of the human body relative to the second sensor are analyzed according to the second sensing information, so that the sub-area where the human body is located can be determined.
Further, the receiving module 510 further includes a configuration unit, configured to receive a partition configuration instruction, acquire the working area, and perform partition setting on the working area before starting the second sensor to scan the working area in at least one azimuth.
Further, the configuration unit is further configured to receive position information of a mark point returned by the second sensor when the mark point in the working area is scanned, where the position information of the mark point includes a distance and an angle of the mark point relative to the second sensor; establishing a working area coordinate system by taking the second sensor as a coordinate origin, and determining the position of the mark point in the working area coordinate system according to the distance and the angle of the mark point to obtain partition information; and dividing the working area according to the partition information.
Further, the configuration unit is further configured to analyze the partition information to obtain a boundary of the working area and a partition line; dividing the working area into a plurality of sub-areas with the partition line.
The method comprises the steps of receiving a partition configuration instruction, starting a second sensor to acquire the position of each mark point in an actual working area relative to the second sensor according to the partition configuration instruction, establishing a working area coordinate system, and dividing the working area into a plurality of sub-areas according to the position of each mark point relative to the second sensor.
Further, the configuration unit is further configured to send the working area coordinate system and the divided sub-areas to an intermediate device, and send an allocation instruction, so that the intermediate device allocates corresponding controlled devices to the sub-areas according to the allocation instruction.
And sending an allocation instruction to instruct the intermediate equipment to allocate corresponding controlled equipment to the sub-area while sending the working area coordinate system and the divided sub-areas to the intermediate equipment. Therefore, after the sub-region where the human body is located is obtained, the intermediate device can control the controlled device corresponding to the sub-region.
Further, the human body detection apparatus 500 further includes a sending module, configured to send the human body presence information and the sub-area where the human body is located to an intermediate device after determining the sub-area where the human body is located according to the second sensing information, so as to instruct the intermediate device to control the controlled device corresponding to the sub-area.
The human body detection apparatus 500 provided in this embodiment of the application can implement each process of the method for implementing the human body detection method by the electronic device in the method embodiments of fig. 1 to fig. 9, and is not described here again to avoid repetition.
An embodiment of the present application provides an electronic device, which includes a processor and a memory, where the memory stores at least one instruction, at least one program, a code set, or an instruction set, and the at least one instruction, the at least one program, the code set, or the instruction set is loaded and executed by the processor to implement the human body detection method provided in the foregoing method embodiment.
The memory may be used to store software programs and modules, and the processor may execute various functional applications and information feedback by operating the software programs and modules stored in the memory. The memory can mainly comprise a program storage area and a data storage area, wherein the program storage area can store an operating system, application programs needed by functions and the like; the storage data area may store data created according to use of the apparatus, and the like. Further, the memory may include high speed random access memory, and may also include non-volatile memory, such as at least one magnetic disk storage device, flash memory device, or other volatile solid state storage device. Accordingly, the memory may also include a memory controller to provide the processor access to the memory.
Fig. 14 is a block diagram of a hardware structure of an electronic device of a human body detection method according to an embodiment of the present application. As shown in fig. 14, the electronic device 600 may have a relatively large difference due to different configurations or performances, and may include one or more processors (CPUs) 610 (the processors 610 may include but are not limited to Processing devices such as a microprocessor MCU or a programmable logic device FPGA), a memory 630 for storing data, and one or more storage media 620 (e.g., one or more mass storage devices) for storing applications 623 or data 622. Memory 630 and storage medium 620 may be, among other things, transient or persistent storage. The program stored in the storage medium 620 may include one or more modules, each of which may include a series of instruction operations for the electronic device. Further, the processor 610 may be configured to communicate with the storage medium 620 to execute a series of instruction operations in the storage medium 620 on the electronic device 500. The electronic device 600 may also include one or more power supplies 660, one or more wired or wireless network interfaces 650, one or more input-output interfaces 640, and/or one or more operating systems 621, such as Windows Server, MacOSXTM, UnixTM, LinuxTM, FreeBSDTM, and so forth.
The input/output interface 640 may be used to receive or transmit data via a network. Specific examples of the network described above may include a wireless network provided by a communication provider of the electronic device 600. In one example, i/o Interface 640 includes a Network adapter (NIC) that may be coupled to other Network devices via a base station to communicate with the internet. In one example, the input/output interface 640 may be a Radio Frequency (RF) module, which is used for communicating with the internet in a wireless manner.
It will be understood by those skilled in the art that the structure shown in fig. 14 is merely an illustration and is not intended to limit the structure of the electronic device. For example, electronic device 600 may also include more or fewer components than shown in FIG. 14, or have a different configuration than shown in FIG. 14.
The embodiments of the present application further provide a computer-readable storage medium, where a computer program is stored on the computer-readable storage medium, and when the computer program is executed by a processor, the computer program implements the processes of the human body detection method embodiments, and can achieve the same technical effects, and in order to avoid repetition, the detailed description is omitted here. The computer-readable storage medium may be a Read-Only Memory (ROM), a Random Access Memory (RAM), a magnetic disk or an optical disk.
It should be noted that, in this document, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising an … …" does not exclude the presence of other like elements in a process, method, article, or apparatus that comprises the element.
Through the above description of the embodiments, those skilled in the art will clearly understand that the method of the above embodiments can be implemented by software plus a necessary general hardware platform, and certainly can also be implemented by hardware, but in many cases, the former is a better implementation manner. Based on such understanding, the technical solutions of the present invention may be embodied in the form of a software product, which is stored in a storage medium (such as ROM/RAM, magnetic disk, optical disk) and includes instructions for enabling a terminal (such as a mobile phone, a computer, a server, an air conditioner, or a network device) to execute the method according to the embodiments of the present invention.
While the present invention has been described with reference to the embodiments shown in the drawings, the present invention is not limited to the embodiments, which are illustrative and not restrictive, and it will be apparent to those skilled in the art that various changes and modifications can be made therein without departing from the spirit and scope of the invention as defined in the appended claims.

Claims (13)

1. A human body detection method is applied to electronic equipment, and the method comprises the following steps:
receiving first sensing information returned by a first sensor, wherein the first sensing information is information returned by the first sensor to scan a working area;
starting a second sensor to scan the working area in at least one direction under the condition that the human body exists in the working area according to the first sensing information;
and receiving second sensing information returned by the second sensor, and determining a sub-area where the human body is located according to the second sensing information, wherein the sub-area is a plurality of areas obtained after the work area is partitioned.
2. The method of claim 1, wherein the activating a second sensor to scan the workspace in at least one orientation comprises:
when the second sensor scans the area of the current position, receiving second sensing information returned by the second sensor;
and controlling the second sensor to rotate to the next direction for scanning so as to scan the whole working area.
3. The method of claim 1, wherein prior to receiving the first sensing information returned by the first sensor, further comprising:
starting the first sensor to scan a working area;
after receiving the first sensing information returned by the first sensor, the method further comprises:
judging whether the first sensing information is larger than a first preset threshold value or not;
and if so, judging that the human body exists in the working area.
4. The method according to claim 1, wherein partitioning results of a working area partitioned into a plurality of sub-areas are stored in advance, and the determining the sub-area where the human body is located according to the second sensing information includes:
analyzing the second sensing information, and judging whether the second sensing information is larger than a second preset threshold value;
if so, acquiring the distance and the angle of the human body relative to the second sensor, and determining the sub-region where the human body is located according to the distance and the angle.
5. The method of claim 1, wherein the step of activating the second sensor to scan the workspace in at least one orientation further comprises:
and receiving a partition configuration instruction, acquiring the working area and performing partition setting on the working area.
6. The method of claim 5, wherein the obtaining the workspace and performing partition setting on the workspace comprises:
receiving position information of a mark point returned by a second sensor when the mark point in a working area is scanned, wherein the position information of the mark point comprises the distance and the angle of the mark point relative to the second sensor;
establishing a working area coordinate system by taking the second sensor as a coordinate origin, and determining the position of the mark point in the working area coordinate system according to the distance and the angle of the mark point to obtain partition information;
and dividing the working area according to the partition information.
7. The method of claim 6, wherein said partitioning said workspace according to said partition information comprises:
analyzing the partition information to obtain the boundary of the working area and a partition line;
dividing the working area into a plurality of sub-areas with the partition line.
8. The method of claim 7, wherein after the partitioning the working area into a plurality of sub-areas with the partition line, further comprising:
and sending the working area coordinate system and the divided sub-areas to intermediate equipment, and sending an allocation instruction so that the intermediate equipment allocates corresponding controlled equipment to the sub-areas according to the allocation instruction.
9. The method according to any one of claims 1 to 8, wherein after determining the sub-region where the human body is located according to the second sensing information, the method further comprises:
and sending the human body existence information and the sub-area where the human body is located to intermediate equipment so as to indicate the intermediate equipment to control the controlled equipment corresponding to the sub-area.
10. A human body detection device, applied to an electronic apparatus, the device comprising:
the receiving module is used for receiving first sensing information returned by a first sensor, wherein the first sensing information is information returned by a first sensor scanning working area;
the detection module is used for starting a second sensor to scan the working area in at least one direction under the condition that the human body exists in the working area according to the first sensing information;
and the determining module is used for receiving second sensing information returned by the second sensor and determining a sub-region where the human body is located according to the second sensing information, wherein the sub-region is a plurality of regions obtained after the work region is partitioned.
11. A human body detection system is characterized by comprising an electronic device, an intermediate device connected with the electronic device in a communication way, and a controlled device connected with the intermediate device in a communication way,
the electronic equipment sends a working area coordinate system and the divided sub-areas to the intermediate equipment;
the intermediate equipment distributes corresponding controlled equipment to the sub-areas;
the electronic equipment sends the human body existence information and the sub-area where the human body is located to the intermediate equipment;
and the intermediate equipment controls the controlled equipment corresponding to the sub-area.
12. An electronic device, characterized in that the electronic device comprises:
one or more processors;
a memory electrically connected with the one or more processors;
one or more applications, wherein the one or more applications are stored in the memory and configured to be executed by the one or more processors, the one or more applications configured to perform the method of any of claims 1-9.
13. A computer-readable storage medium, having stored thereon program code that can be invoked by a processor to perform the method according to any one of claims 1 to 9.
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