CN116259152A - Indoor personnel activity detection device - Google Patents
Indoor personnel activity detection device Download PDFInfo
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- CN116259152A CN116259152A CN202211627475.4A CN202211627475A CN116259152A CN 116259152 A CN116259152 A CN 116259152A CN 202211627475 A CN202211627475 A CN 202211627475A CN 116259152 A CN116259152 A CN 116259152A
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- 238000001514 detection method Methods 0.000 title claims abstract description 70
- 230000000694 effects Effects 0.000 title claims abstract description 52
- 238000012544 monitoring process Methods 0.000 claims abstract description 48
- 230000003068 static effect Effects 0.000 claims abstract description 35
- 230000002159 abnormal effect Effects 0.000 claims abstract description 30
- 238000012546 transfer Methods 0.000 claims abstract description 12
- 238000004088 simulation Methods 0.000 claims description 9
- 230000008447 perception Effects 0.000 claims description 6
- 238000012502 risk assessment Methods 0.000 claims description 6
- 231100000279 safety data Toxicity 0.000 claims description 6
- 230000005540 biological transmission Effects 0.000 claims description 4
- 230000005856 abnormality Effects 0.000 claims description 3
- 238000011161 development Methods 0.000 claims description 3
- 238000007781 pre-processing Methods 0.000 claims description 3
- 230000000241 respiratory effect Effects 0.000 claims description 3
- 238000013461 design Methods 0.000 abstract description 3
- 238000010586 diagram Methods 0.000 description 3
- 230000009286 beneficial effect Effects 0.000 description 1
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01S—RADIO DIRECTION-FINDING; RADIO NAVIGATION; DETERMINING DISTANCE OR VELOCITY BY USE OF RADIO WAVES; LOCATING OR PRESENCE-DETECTING BY USE OF THE REFLECTION OR RERADIATION OF RADIO WAVES; ANALOGOUS ARRANGEMENTS USING OTHER WAVES
- G01S13/00—Systems using the reflection or reradiation of radio waves, e.g. radar systems; Analogous systems using reflection or reradiation of waves whose nature or wavelength is irrelevant or unspecified
- G01S13/02—Systems using reflection of radio waves, e.g. primary radar systems; Analogous systems
- G01S13/06—Systems determining position data of a target
- G01S13/42—Simultaneous measurement of distance and other co-ordinates
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01S—RADIO DIRECTION-FINDING; RADIO NAVIGATION; DETERMINING DISTANCE OR VELOCITY BY USE OF RADIO WAVES; LOCATING OR PRESENCE-DETECTING BY USE OF THE REFLECTION OR RERADIATION OF RADIO WAVES; ANALOGOUS ARRANGEMENTS USING OTHER WAVES
- G01S13/00—Systems using the reflection or reradiation of radio waves, e.g. radar systems; Analogous systems using reflection or reradiation of waves whose nature or wavelength is irrelevant or unspecified
- G01S13/66—Radar-tracking systems; Analogous systems
- G01S13/72—Radar-tracking systems; Analogous systems for two-dimensional tracking, e.g. combination of angle and range tracking, track-while-scan radar
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01S—RADIO DIRECTION-FINDING; RADIO NAVIGATION; DETERMINING DISTANCE OR VELOCITY BY USE OF RADIO WAVES; LOCATING OR PRESENCE-DETECTING BY USE OF THE REFLECTION OR RERADIATION OF RADIO WAVES; ANALOGOUS ARRANGEMENTS USING OTHER WAVES
- G01S13/00—Systems using the reflection or reradiation of radio waves, e.g. radar systems; Analogous systems using reflection or reradiation of waves whose nature or wavelength is irrelevant or unspecified
- G01S13/88—Radar or analogous systems specially adapted for specific applications
- G01S13/886—Radar or analogous systems specially adapted for specific applications for alarm systems
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- G—PHYSICS
- G08—SIGNALLING
- G08B—SIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
- G08B21/00—Alarms responsive to a single specified undesired or abnormal condition and not otherwise provided for
- G08B21/02—Alarms for ensuring the safety of persons
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- G—PHYSICS
- G08—SIGNALLING
- G08B—SIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
- G08B21/00—Alarms responsive to a single specified undesired or abnormal condition and not otherwise provided for
- G08B21/02—Alarms for ensuring the safety of persons
- G08B21/04—Alarms for ensuring the safety of persons responsive to non-activity, e.g. of elderly persons
- G08B21/0407—Alarms for ensuring the safety of persons responsive to non-activity, e.g. of elderly persons based on behaviour analysis
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- G—PHYSICS
- G08—SIGNALLING
- G08B—SIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
- G08B21/00—Alarms responsive to a single specified undesired or abnormal condition and not otherwise provided for
- G08B21/02—Alarms for ensuring the safety of persons
- G08B21/04—Alarms for ensuring the safety of persons responsive to non-activity, e.g. of elderly persons
- G08B21/0438—Sensor means for detecting
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W4/00—Services specially adapted for wireless communication networks; Facilities therefor
- H04W4/02—Services making use of location information
- H04W4/021—Services related to particular areas, e.g. point of interest [POI] services, venue services or geofences
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W4/00—Services specially adapted for wireless communication networks; Facilities therefor
- H04W4/02—Services making use of location information
- H04W4/029—Location-based management or tracking services
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W4/00—Services specially adapted for wireless communication networks; Facilities therefor
- H04W4/30—Services specially adapted for particular environments, situations or purposes
- H04W4/33—Services specially adapted for particular environments, situations or purposes for indoor environments, e.g. buildings
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- Business, Economics & Management (AREA)
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Abstract
The invention discloses an indoor personnel activity detection device, which comprises a data monitoring front end, a data transfer platform, an activity detection platform and a display terminal, wherein the data monitoring front end is connected with the data transfer platform; the data monitoring is used for monitoring indoor human body motion data, gesture micro-motion data and distance data in real time, the data transfer platform is used for receiving data of the front end of the data monitoring and transmitting the data to the activity detection platform, the activity detection platform is used for analyzing data characteristics of an indoor human body in running and static states, calculating a real-time motion track, tracking and positioning abnormal data at the same time, and the display terminal is used for displaying a human body state model generated by the activity detection platform. According to the invention, the detection device adopts an integrated module design, so that the motion information and the static information of a human body can be comprehensively and accurately monitored, the motion trail of the human body is calculated in real time, and meanwhile, the potential safety hazard of the abnormal situation is timely evaluated under the condition of abnormal discovery.
Description
Technical Field
The invention relates to the technical field of security monitoring, in particular to an indoor personnel activity detection device.
Background
The monitoring system is also called a closed-circuit television monitoring system, and a typical monitoring system mainly comprises five parts, namely front-end audio and video acquisition equipment, audio and video transmission equipment and rear-end storage, control and display equipment, wherein the rear-end equipment can be further divided into central control equipment and sub-control equipment, and in the security monitoring industry, in order to accurately and timely discover indoor security abnormal signals, real-time accurate detection is needed for indoor abnormal human body motion signals.
The existing indoor personnel activity detection mode is generally used for monitoring indoor personnel, an infrared sensor, an ultrasonic sensor and a camera are used for monitoring static personnel information, the monitoring effect of the infrared sensor is poor, the effective monitoring sensing range of the ultrasonic sensor is small, the sensitivity is poor, the camera monitoring mode can influence the privacy of the personnel, and the light interference factor is large, so that the existence information of the indoor personnel cannot be comprehensively and accurately detected, and the efficient operation of indoor security monitoring is not facilitated.
Disclosure of Invention
The invention aims to provide an indoor personnel activity detection device which can accurately monitor and analyze the motion information and static information of an indoor human body, discover abnormal information in time and improve the indoor security monitoring efficiency.
In order to achieve the above object, the present invention provides the following technical solutions: an indoor personnel activity detection device comprises a data monitoring front end, a data transfer platform, an activity detection platform and a display terminal;
the data monitoring front end is arranged in a room and is used for monitoring indoor human body motion data, gesture micro-motion data and distance data in real time;
the data transfer platform is used for receiving the data of the data monitoring front end, preprocessing the data and transmitting the preprocessed data to the activity detection platform;
the activity detection platform is used for analyzing the data characteristics of the indoor human body in the running and static states, generating a body model conforming to the current state of the human body, marking the related motion information in the body model, calculating the real-time motion track, accurately finding out the data with abnormal risk, and tracking and positioning the abnormal data;
the display terminal is used for displaying the human body posture model generated by the activity detection platform and early warning the potential safety hazard in time.
As a further description of the above technical solution:
the data monitoring front end is a 79GHz millimeter wave radar and is arranged at the indoor top position, wireless signals are adopted to communicate with a data transfer platform, and data transmission is realized.
As a further description of the above technical solution:
the data monitoring front end comprises a dynamic acquisition module, a static acquisition module and a distance acquisition module;
the dynamic acquisition module is used for acquiring body data information in an indoor human body motion state;
the static acquisition module is used for acquiring posture data information of the indoor human body in a static state;
the distance acquisition module is used for acquiring distance and position information of the indoor human body in a real-time state.
As a further description of the above technical solution:
the activity detection platform comprises a motion detection module;
the motion detection module is used for accurately analyzing the related information of the human body in the indoor motion state according to the body data information acquired by the dynamic acquisition module, including the human body position information, the motion direction information, the motion speed information and the human body respiratory micro-motion signals, and integrating all the human body motion data information uniformly to form a motion data packet.
As a further description of the above technical solution:
the movable detection platform further comprises a gesture detection module;
the gesture detection module is used for accurately analyzing the relevant information of the human body in the indoor static state according to the body data information acquired by the static acquisition module, wherein the relevant information comprises the standing gesture, squatting data and lying gesture of the human body, and all the static data information of the human body are integrated uniformly to form a static data packet.
As a further description of the above technical solution:
the activity detection platform further comprises a track tracking module;
the track tracking module is used for accurately analyzing the distance related information of the human body and other objects indoors according to the distance position information acquired by the distance acquisition module, wherein the distance between the objects and the distance between the people are included, and all the human body track data information is integrated uniformly to form a track data packet.
As a further description of the above technical solution:
the activity detection platform further comprises a perception capturing module;
the sensing and capturing module is used for carrying out omnibearing monitoring on human bodies entering the effective working range of the data monitoring front end, can maintain the state of accurately monitoring the human bodies, and uniformly integrates all sensing data information to form a sensing data packet.
As a further description of the above technical solution:
the activity detection platform further comprises an abnormality early warning module;
the abnormal early warning module is used for classifying all the data information related to the human body, such as motion state data, static state data, track position data and perception data information, performing threshold matching with corresponding safety data values preset in the platform, identifying and marking the data information exceeding the safety data bearing range, and paralleling the data information as abnormal data.
As a further description of the above technical solution:
the activity detection platform further comprises a risk assessment module;
the risk assessment module is used for constructing a human body simulation model, sequentially importing abnormal data into the human body simulation model one by one, simulating the development trend of the abnormal data, judging the potential risk of the abnormal data in the human body simulation model, and identifying the corresponding risk level.
In the technical scheme, the indoor personnel activity detection device provided by the invention has the following beneficial effects:
the detection device adopts an integrated module design, can comprehensively and accurately monitor the motion information and the static information of a human body, calculates the motion trail of the human body in real time according to the motion information and the static information, accurately tracks and positions the indoor human body position, simultaneously timely evaluates potential safety hazards under abnormal condition discovery, provides important data support for subsequent security management, and further ensures that security monitoring can be performed efficiently and accurately.
Drawings
In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings that are needed in the embodiments will be briefly described below, and it is obvious that the drawings in the following description are only some embodiments described in the present invention, and other drawings may be obtained according to these drawings for a person having ordinary skill in the art.
Fig. 1 is a schematic structural diagram of an indoor personnel activity detection device according to an embodiment of the present invention;
FIG. 2 is a schematic diagram of a data monitoring front end according to an embodiment of the present invention;
fig. 3 is a schematic diagram of an activity detection platform according to an embodiment of the present invention.
Detailed Description
In order to make the technical scheme of the present invention better understood by those skilled in the art, the present invention will be further described in detail with reference to the accompanying drawings.
1-3, the indoor personnel activity detection device comprises a data monitoring front end, a data transfer platform, an activity detection platform and a display terminal;
the data monitoring front end is arranged in a room and is used for monitoring indoor human body motion data, gesture micro-motion data and distance data in real time;
the data transfer platform is used for receiving the data of the data monitoring front end, preprocessing the data and transmitting the preprocessed data to the activity detection platform;
the activity detection platform is used for analyzing the data characteristics of the indoor human body in the running and static states, generating a body model conforming to the current state of the human body, marking the related motion information in the body model, calculating the real-time motion track, accurately finding out the data with abnormal risk, and tracking and positioning the abnormal data;
the display terminal is used for displaying the human body state model generated by the activity detection platform and early warning the potential safety hazard in time.
The detection device adopts an integrated module design, can comprehensively and accurately monitor the motion information and the static information of a human body, calculates the motion trail of the human body in real time according to the motion information and the static information, accurately tracks and positions the indoor human body position, simultaneously timely evaluates potential safety hazards on abnormal conditions under abnormal conditions, provides important data support for subsequent security management, and further ensures that security monitoring can be performed efficiently and accurately
The front end of the data monitoring is a 79GHz millimeter wave radar, is arranged at the indoor top position, adopts wireless signals to communicate with a data transfer platform, and realizes data transmission.
The data monitoring front end comprises a dynamic acquisition module, a static acquisition module and a distance acquisition module;
the dynamic acquisition module is used for acquiring body data information in an indoor human body motion state;
the static acquisition module is used for acquiring posture data information of the indoor human body in a static state;
the distance acquisition module is used for acquiring distance and position information of the indoor human body in a real-time state.
The activity detection platform comprises a motion detection module;
the motion detection module is used for accurately analyzing the related information of the human body in the indoor motion state according to the body data information acquired by the dynamic acquisition module, including the human body position information, the motion direction information, the motion speed information and the human body respiratory micro-motion signals, and integrating all the human body motion data information uniformly to form a motion data packet.
The movable detection platform also comprises a gesture detection module;
the gesture detection module is used for accurately analyzing the relevant information of the human body in the indoor static state according to the body data information acquired by the static acquisition module, wherein the relevant information comprises the standing gesture, squatting data and lying gesture of the human body, and all the static data information of the human body are integrated uniformly to form a static data packet.
The activity detection platform also comprises a track tracking module;
the track tracking module is used for accurately analyzing the distance related information of the human body and other objects indoors according to the distance position information acquired by the distance acquisition module, wherein the distance between the objects and the distance between the people are included, and all the human body track data information is integrated uniformly to form a track data packet.
The activity detection platform also comprises a perception capturing module;
the sensing and capturing module is used for carrying out omnibearing monitoring on human bodies entering the effective working range of the data monitoring front end, can maintain the state of accurately monitoring the human bodies, and uniformly integrates all sensing data information to form a sensing data packet.
The activity detection platform also comprises an abnormality early warning module;
the abnormal early warning module is used for classifying all the data information related to the human body, such as motion state data, static state data, track position data and perception data information, performing threshold matching with corresponding safety data values preset in the platform, identifying and marking the data information exceeding the safety data bearing range, and paralleling the data information as abnormal data.
The activity detection platform further comprises a risk assessment module;
the risk assessment module is used for constructing a human body simulation model, sequentially importing abnormal data into the human body simulation model one by one, simulating the development trend of the abnormal data, judging the potential risk of the abnormal data in the human body simulation model, and identifying the corresponding risk level.
The display terminal is mobile display equipment and is used for intuitively and accurately displaying the detected, calculated and analyzed data, and meanwhile, real-time early warning is carried out on the existing potential safety hazards, so that security monitoring personnel can be helped to make corresponding emergency plans higher.
While certain exemplary embodiments of the present invention have been described above by way of illustration only, it will be apparent to those of ordinary skill in the art that modifications may be made to the described embodiments in various different ways without departing from the spirit and scope of the invention. Accordingly, the drawings and description are to be regarded as illustrative in nature and not as restrictive of the scope of the invention, which is defined by the appended claims.
Claims (9)
1. The indoor personnel activity detection device is characterized by comprising a data monitoring front end, a data transfer platform, an activity detection platform and a display terminal;
the data monitoring front end is arranged in a room and is used for monitoring indoor human body motion data, gesture micro-motion data and distance data in real time;
the data transfer platform is used for receiving the data of the data monitoring front end, preprocessing the data and transmitting the preprocessed data to the activity detection platform;
the activity detection platform is used for analyzing the data characteristics of the indoor human body in the running and static states, generating a body model conforming to the current state of the human body, marking the related motion information in the body model, calculating the real-time motion track, accurately finding out the data with abnormal risk, and tracking and positioning the abnormal data;
the display terminal is used for displaying the human body posture model generated by the activity detection platform and early warning the potential safety hazard in time.
2. An indoor personnel activity detection apparatus as in claim 1, wherein: the data monitoring front end is a 79GHz millimeter wave radar and is arranged at the indoor top position, wireless signals are adopted to communicate with a data transfer platform, and data transmission is realized.
3. An indoor personnel activity detection apparatus as in claim 1, wherein: the data monitoring front end comprises a dynamic acquisition module, a static acquisition module and a distance acquisition module;
the dynamic acquisition module is used for acquiring body data information in an indoor human body motion state;
the static acquisition module is used for acquiring posture data information of the indoor human body in a static state;
the distance acquisition module is used for acquiring distance and position information of the indoor human body in a real-time state.
4. An indoor personnel activity detection apparatus as in claim 1, wherein: the activity detection platform comprises a motion detection module;
the motion detection module is used for accurately analyzing the related information of the human body in the indoor motion state according to the body data information acquired by the dynamic acquisition module, including the human body position information, the motion direction information, the motion speed information and the human body respiratory micro-motion signals, and integrating all the human body motion data information uniformly to form a motion data packet.
5. An indoor personnel activity detection apparatus as in claim 1, wherein: the movable detection platform further comprises a gesture detection module;
the gesture detection module is used for accurately analyzing the relevant information of the human body in the indoor static state according to the body data information acquired by the static acquisition module, wherein the relevant information comprises the standing gesture, squatting data and lying gesture of the human body, and all the static data information of the human body are integrated uniformly to form a static data packet.
6. An indoor personnel activity detection apparatus as in claim 1, wherein: the activity detection platform further comprises a track tracking module;
the track tracking module is used for accurately analyzing the distance related information of the human body and other objects indoors according to the distance position information acquired by the distance acquisition module, wherein the distance between the objects and the distance between the people are included, and all the human body track data information is integrated uniformly to form a track data packet.
7. An indoor personnel activity detection apparatus as in claim 1, wherein: the activity detection platform further comprises a perception capturing module;
the sensing and capturing module is used for carrying out omnibearing monitoring on human bodies entering the effective working range of the data monitoring front end, can maintain the state of accurately monitoring the human bodies, and uniformly integrates all sensing data information to form a sensing data packet.
8. An indoor personnel activity detection apparatus as in claim 1, wherein: the activity detection platform further comprises an abnormality early warning module;
the abnormal early warning module is used for classifying all the data information related to the human body, such as motion state data, static state data, track position data and perception data information, performing threshold matching with corresponding safety data values preset in the platform, identifying and marking the data information exceeding the safety data bearing range, and paralleling the data information as abnormal data.
9. An indoor personnel activity detection apparatus as in claim 1, wherein: the activity detection platform further comprises a risk assessment module;
the risk assessment module is used for constructing a human body simulation model, sequentially importing abnormal data into the human body simulation model one by one, simulating the development trend of the abnormal data, judging the potential risk of the abnormal data in the human body simulation model, and identifying the corresponding risk level.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
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| CN202211627475.4A CN116259152A (en) | 2022-12-14 | 2022-12-14 | Indoor personnel activity detection device |
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| Application Number | Priority Date | Filing Date | Title |
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| CN202211627475.4A CN116259152A (en) | 2022-12-14 | 2022-12-14 | Indoor personnel activity detection device |
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| CN116259152A true CN116259152A (en) | 2023-06-13 |
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| CN202211627475.4A Withdrawn CN116259152A (en) | 2022-12-14 | 2022-12-14 | Indoor personnel activity detection device |
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN117789406A (en) * | 2024-02-27 | 2024-03-29 | 南方电网调峰调频发电有限公司 | Tunnel safety management method based on artificial intelligence |
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2022
- 2022-12-14 CN CN202211627475.4A patent/CN116259152A/en not_active Withdrawn
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN117789406A (en) * | 2024-02-27 | 2024-03-29 | 南方电网调峰调频发电有限公司 | Tunnel safety management method based on artificial intelligence |
| CN117789406B (en) * | 2024-02-27 | 2024-05-03 | 南方电网调峰调频发电有限公司 | Tunnel safety management method based on artificial intelligence |
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