CN112438708A - Personnel condition detection device - Google Patents
Personnel condition detection device Download PDFInfo
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- CN112438708A CN112438708A CN201910803323.7A CN201910803323A CN112438708A CN 112438708 A CN112438708 A CN 112438708A CN 201910803323 A CN201910803323 A CN 201910803323A CN 112438708 A CN112438708 A CN 112438708A
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- target area
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- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/02—Detecting, measuring or recording pulse, heart rate, blood pressure or blood flow; Combined pulse/heart-rate/blood pressure determination; Evaluating a cardiovascular condition not otherwise provided for, e.g. using combinations of techniques provided for in this group with electrocardiography or electroauscultation; Heart catheters for measuring blood pressure
- A61B5/0205—Simultaneously evaluating both cardiovascular conditions and different types of body conditions, e.g. heart and respiratory condition
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- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/74—Details of notification to user or communication with user or patient ; user input means
- A61B5/746—Alarms related to a physiological condition, e.g. details of setting alarm thresholds or avoiding false alarms
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01V—GEOPHYSICS; GRAVITATIONAL MEASUREMENTS; DETECTING MASSES OR OBJECTS; TAGS
- G01V11/00—Prospecting or detecting by methods combining techniques covered by two or more of main groups G01V1/00 - G01V9/00
Abstract
The invention discloses a personnel condition detection device, which comprises a depth image shooting module for shooting a target area to obtain a depth image, a thermal image shooting module for shooting the target area to obtain a thermal image, a millimeter wave radar module for detecting respiration and heartbeat of the target area to obtain a detection signal, an alarm module and a processing module. And the processing module judges whether the target area has a human shape or not according to the depth image. And when the human shape is judged to be absent, continuously judging whether the target area has breathing and heartbeat according to the detection signal. When the breathing and the heartbeat are judged, whether the life signs of the people in the target area are abnormal or not is continuously judged according to the detection signal and the thermal image. And when the life signs are judged to be abnormal, driving an alarm module to give an alarm.
Description
Technical Field
The present invention relates to a non-contact detection technique for detecting the posture, movement, respiration, heartbeat and body temperature of a person, and more particularly to a person condition detection device suitable for use in various care situations.
Background
In recent years, the demand for medical treatment and care has been increasing, and the related manpower has been increasingly tense. In order to relieve the manual tension, in the case of nursing personnel, such as infants, children, the elderly or patients, hospitals or nursing providers currently use a camera to analyze or monitor the behavior of patients or cared persons to assist in nursing. However, while this is beneficial to care givers, it is problematic to violate the privacy of the patient or the person being cared for. Furthermore, analysis by means of visible light images will be limited by the influence of ambient light, and detection of the behavior of the patient or the person to be cared for will be difficult in case of light-off or low-light conditions.
Disclosure of Invention
The invention provides a novel personnel condition detection device, which comprises a depth image shooting module for shooting a target area to obtain a depth image, a thermal image shooting module for shooting the target area to obtain a thermal image, a millimeter wave radar module for detecting respiration and heartbeat of the target area to obtain a detection signal, an alarm module and a processing module. The processing module judges whether the target area has a human shape or not according to the depth image; when the unmanned shape is judged, whether the target area has breathing and heartbeat or not is judged according to the detection signal; when breathing and heartbeat are judged, whether the life signs of people in the target area are abnormal or not is judged according to the detection signal and the thermal image; when the life signs are judged to be abnormal, the alarm module is driven to give an alarm.
In one embodiment, when the processing module judges that the target area has a human shape according to the depth image, whether personnel in the target area have dangerous actions or not is judged according to the depth image; when the dangerous action is judged, the alarm module is driven to give an alarm.
In one embodiment, when the processing module determines that the person in the target area has no dangerous action according to the depth image, whether the life signs of the person in the target area are abnormal or not is determined according to the detection signal and the thermal image.
In one embodiment, when the processing module judges that the life signs of the people in the target area are not abnormal according to the detection signals and the thermal images, whether the people in the target area have dangerous actions or not is judged according to the depth images; when the dangerous action is judged, the alarm module is driven to give an alarm.
In one embodiment, when the processing module judges that the target area is unmanned according to the depth image, whether a moving event exists in the target area within a preset time is judged according to the depth image and/or the detection signal; when a moving event occurs, whether breathing and heartbeat exist in the target area or not is judged according to the detection signal.
In one embodiment, when the processing module judges that the life signs of the people in the target area are abnormal according to the detection signal and the thermal image, whether a moving event exists in the target area within a preset time period is judged according to the depth image and/or the detection signal; when no moving event occurs, the alarm module is driven to give out an alarm.
In one embodiment, the personnel condition detection apparatus further comprises a cylindrical enclosure housing the modules, wherein the millimeter wave radar module is located between the depth image capture module and the thermal image capture module in the cylindrical enclosure.
In one embodiment, the personnel condition detecting device further comprises a frame, a cylindrical enclosure and a shock-absorbing body. The frame is provided with two elastic buckles, and the tail section of each elastic buckle is provided with a shock absorption pad. When the frame is installed to a ceiling through two elastic buckles, each shock pad is respectively propped against the ceiling. The cylindrical body is used for accommodating the modules and is fixed in the frame; the shock absorbing body is enclosed outside the cylindrical body. When the frame is installed to the ceiling through the two elastic buckles, the shock absorption body is arranged between the frame and the ceiling.
In one embodiment, the personnel condition detection device further comprises a frame, a cylindrical enclosure, a damping control module and a driving module. The cylindrical body is movably arranged in the frame and is used for accommodating each module. The damping control module is arranged in the cylindrical hull body and is coupled with the processing module. The driving module is arranged on the cylindrical hull body and coupled with the damping control module and can drive the cylindrical hull body to move relative to the frame. The processing module detects the small displacement and the moving direction of the cylindrical hub by the damping control module and drives the cylindrical hub to move by the small displacement in the direction opposite to the moving direction according to the detection result. Preferably, the frame may have two elastic buckles, and the end of each elastic buckle has a shock pad, wherein when the frame is mounted to a ceiling through the two elastic buckles, the shock pads respectively abut against the ceiling. Preferably, the personnel condition detecting device of the present invention further comprises a shock absorbing body, the shock absorbing body surrounds the outside of the frame, and the shock absorbing body is disposed between the frame and the ceiling when the frame is mounted to the ceiling by two elastic fasteners.
Compared with the prior art, the processing module can detect whether a person is in the target area or not through cooperation of the depth image shooting module and the millimeter wave radar module, after the person is detected in the target area, whether the action or the life sign of the person in the target area is abnormal or not is judged according to the detection results of the depth image shooting module, the millimeter wave radar module and the thermal image shooting module, and the alarm module is used for giving an alarm when the abnormality occurs, so that the problem that the detection quality is poor due to the fact that a known camera assists in protecting the privacy of the person and is limited by ambient light is solved.
Drawings
Fig. 1 shows a block diagram of a circuit system of an embodiment of the human condition detection apparatus of the present invention.
Fig. 2 shows a perspective view of the embodiment of the present invention.
Fig. 3 to 6 show several work flow diagrams of the processing module of this embodiment of the invention.
Fig. 7 shows a partially exploded perspective view of another embodiment of the human condition detection device of the present invention.
Fig. 8 shows a partial cross-sectional view (enlarged) of fig. 7.
Fig. 9 is a perspective view of a human condition detecting device according to another embodiment of the present invention.
Fig. 10 shows a top view of fig. 9.
Fig. 11 shows a partial cross-sectional view (enlarged) of fig. 9.
The reference numbers are as follows:
Depth image capturing module 12
Thermal image photographing module 13
Millimeter wave radar module 14
Steps a to d, b', c1
The long hole 41a
Damper 32, 43
Shaft pin 423
Detailed Description
Fig. 1 is a circuit system block diagram of an embodiment of the human condition detecting apparatus of the present invention, which includes a depth image capturing module 12 and a thermal image capturing module 13 for capturing a target area, a millimeter wave radar module 14 for detecting respiration and heartbeat of the target area, an alarm module 15 for generating an alarm, a processing module 11 coupled to the modules, and a power module 17 for providing power to the modules. In this embodiment, the personnel condition detection device may further include a communication module 16 and a damping control module 422 coupled to the processing module 11, but is not limited thereto.
The target area may be an area where a patient bed is placed, but is not limited thereto. The modules can be arranged in a dispersing way or in a concentrating way. In this embodiment, as shown in FIG. 2, the modules are collectively arranged in a cylindrical enclosure 2, and the cylindrical enclosure 2 is mounted on a ceiling 20. In some embodiments, the arc body 2 can also be installed on a wall or a support standing on the ground. Wherever the camera is installed, the depth image capture module 12, the thermal image capture module 13, and the millimeter wave radar module 14 are required to be able to continuously capture and detect a target area.
As further shown in fig. 2, in the present embodiment, the millimeter wave radar module 14 is located at approximately the middle of the housing 2, and the depth image capturing module 12 and the thermal image capturing module 13 are located at opposite sides of the millimeter wave radar module 14, respectively. The distance between the depth image capturing module 12 and the thermal image capturing module 13 can prevent the heat generated by the VCSEL or LED light source of the depth image capturing module 12 from affecting the capturing quality of the thermal image capturing module 13. In addition, in the embodiment, the alarm module 15 includes an alarm lamp 151 (e.g., several red LEDs) and/or an alarm bell 152, which are respectively disposed at two sides of the millimeter-wave radar module 14, but the present invention is not limited to the arrangement position.
The depth image capture module 12 may select a ToF depth camera that employs a Time of Flight technique (Time of Flight). The depth image captured by the depth image capturing module 12, the thermal image captured by the thermal image capturing module 13, and the detection signal detected by the millimeter wave radar module 14 are all transmitted to the processing module 11 for processing. The processing module 11 determines whether to drive the alarm module 15 according to the processing result, which will be described in detail later. The processing module 11 may also transmit the processed result to a data center (not shown) located at a remote location via the communication module 16. The communication module 16 may include a wired communication module, which may be an Ethernet communication module or an RS485 communication module, and/or a wireless communication module, which may be a WiFi communication module or a bluetooth communication module.
The Power module 17 supplies Power required by the above modules, and may be powered by a Power over Ethernet (PoE) or a mains supply through a Power supply. The power module 17 may also include a battery backup for emergency power use in the event of a power outage.
The processing module 11 at least includes a microprocessor and a memory (not shown). The memory stores a plurality of program instructions that are executable by the microprocessor to perform a series of steps, as shown in FIG. 3. The series of steps includes at least steps a through d.
In step a, the processing module 11 determines whether the target area has a human shape according to the received depth image. Taking a hospital bed in the target area as an example, if there is a person in the bed, the depth image captured by the depth image capturing module 12 will have a shape similar to that of a human body, and different postures of the person will present different human shapes. The processing module 11 performs human shape analysis and recognition on the received depth image. If the human shape can be identified, the bed is shown to be occupied; if no human shape can be identified, judging that no human shape exists. However, this does not mean that no person is present in the bed, and there is a possibility that a person is present in the bed, but the person's posture in the bed is curved to make it difficult to recognize the person's shape, or the person is covered with cotton. In all possible situations, the result that the human body is in the bed but the processing module 11 cannot recognize the human body shape is obtained, and therefore, the step b needs to be continuously executed for further judgment.
In step b, the processing module 11 determines whether the target area has breathing and heartbeat according to the received detection signal. If the millimeter waves emitted by the millimeter wave radar module 14 touch signals (i.e., detection signals) reflected by objects in the target area, the result calculated by the processing module 11 shows that there is breathing and heartbeat in the target area, which indicates that there is a person in the bed. At this time, the life sign of the person needs to be continuously monitored, so the life sign abnormality judgment in step c is continuously performed. However, if the result shows that there is no breathing or heartbeat in the target region, it indicates that there is no person in bed, and the process returns to step a to detect whether there is a person in the target region again.
In step c, the processing module 11 determines whether the life signs of the people in the target area are abnormal according to the received detection signals and the thermal images, for example, if the results of the detection signals calculated by the processing module 11 show that the respiration and heartbeat rates exceed an upper limit value or are lower than a lower limit value, it is determined that the life signs of the people in the target area are abnormal; for another example, the result of the analysis and identification of the thermal image by the processing module 11 shows that the body temperature of the person in the target area is higher than an upper limit value or lower than a lower limit value, and it is determined that the life sign of the person in the target area is abnormal. The above upper and lower limits, and other values representing abnormalities, may be determined based on medical knowledge, medical and care experience.
When the processing module 11 determines that the life sign is abnormal according to the received detection signal and the thermal image, the processing module 11 drives the alarm module 15 to issue an alarm as shown in step d. At this time, the warning lamp 151 emits a flashing warning light and/or the warning bell 152 emits a warning sound to notify the people in the target area and the vicinity thereof, and prompt them to take emergency measures, such as emergency rescue measures, for the people in the target area, such as the patient in bed. In addition, the alarm of the alarm module 15 may be automatically ended after a certain time duration, or manually ended. In any case, after the alarm is over, the processing module 11 re-executes the above-mentioned series of steps.
In this embodiment, the series of steps may further include a step b ', when the processing module 11 determines that the target area has a human shape according to the received depth image, as shown in step b', it continues to determine whether the person in the target area has a dangerous action, such as a patient falling at the bedside, according to the received depth image. When the dangerous action is judged, step d is executed to enable the alarm module 15 to give an alarm. The depth image received by the processing module 11 may be processed by using human skeleton analysis and identification technology, so as to determine whether the action of the person in the target area is a dangerous action.
In this embodiment, step b' may further include: when the processing module 11 determines that there is no dangerous action for the person in the target area according to the received depth image, the above step c and the following steps are continuously executed, so as to drive the alarm module 15 to issue an alarm when the life signs of the person are detected to be abnormal.
In this embodiment, step c may further include: when the processing module 11 determines that there is no abnormal sign of life of the person in the target area according to the received detection signal and the thermal image, the processing module continues to execute the step b' and the following steps, so as to drive the alarm module 15 to give an alarm when the dangerous action of the person is detected.
In step a, when the processing module 11 determines that the target area is humanoid from the received depth image, it does not indicate that there is really no person in the target area. Whether the patient climbs up the bed in the target area, moves from a wheelchair to the bed, or lies on another bed and is moved into the target area, a plurality of movement events must occur in the target area before, and these movement events are reflected in the depth image captured by the depth image capturing module 12 and the detection signal detected by the millimeter wave radar module 14. Therefore, in other embodiments, when the processing module 11 determines that the target area is not humanoid according to the received depth image, in addition to directly performing step b as described above, step b ″ may be performed first as shown in fig. 4. In step b ", the processing module 11 determines whether there is a moving event in the target area within a preset time period according to the received depth image and/or detection signal. And when the mobile event is judged to exist, continuing to execute the step b. Otherwise, when no moving event is judged, returning to the step a.
In step c, when the processing module 11 determines that there is an abnormality in the vital signs of the people in the target area according to the received detection signals and the thermal images, if the abnormality is caused, the processing module 11 determines that the target area does not breathe or beat according to the received detection signals, and determines that the target area does not have a temperature change according to the received thermal images, which may be that the patient on the hospital bed has actually lost the vital signs (past life), or that the patient leaves the hospital bed. Whether the patient lifts up and gets out of the bed by himself or other persons assist in getting out of the bed, a plurality of movement events must occur in the target area, and these movement events are reflected in the depth image captured by the depth image capturing module 12 and the detection signal detected by the millimeter wave radar module 14. Therefore, in other embodiments, when the processing module 11 determines that there is an abnormality in the vital signs of the people in the target area according to the received detection signals and the thermal images, in addition to directly performing step d as described above, as shown in fig. 5, step c1 may be performed first. In step c1, the processing module 11 determines whether there is a movement event in the target area within a predetermined time period according to the received depth image and/or detection signal, and if it is determined that there is no movement event, indicating that the person in the target area is alive, continues to execute step d, so that the alarm module 15 gives an alarm. However, if it is determined that there is a movement event, it indicates that the person in the target area is simply out of bed, and the process returns to step a.
As shown in fig. 6, the embodiment shown has all the steps and the execution sequence thereof, which are not repeated.
As can be seen from the above description, the processing module 11 of the present invention detects postures and motions of a person in a target area through the depth image capturing module 12, detects breathing and heartbeat of the person through the millimeter wave radar module 14, detects body temperature changes of the person through the thermal image capturing module 13, cooperatively determines whether the person is in the target area according to detection results of the modules, determines whether there is an abnormality in the motions or signs of life of the person according to the detection results of the modules after determining that the person is in the target area, and makes the alarm module 15 issue an alarm when the abnormality occurs, so as to solve the problem that the conventional camera assists in protecting privacy of the person and is limited by ambient light to cause poor detection quality.
In one embodiment, when the processing module 11 determines that there is an abnormality, the processing module can also notify the abnormality to a remote end in a wired and/or wireless manner through the communication module 16. In addition, the processing module 11 can grade the abnormal condition judgment of the target area and correspondingly generate different treatments according to different grades, for example, the abnormal condition of falling, breathing or cardiac arrest is the highest grade, at this time, the processing module 11 makes the alarm module 15 give out a local alarm and simultaneously gives out warning information to related personnel through the communication module 16. Other non-urgent low-level exception conditions, the processing module 11 may transmit these exception condition related data to the data center via the communication module 16 to leave a record.
Fig. 7 shows a partially exploded perspective view of another embodiment of the human condition detection device of the present invention. As shown in FIG. 7, in order to avoid the influence on the detection accuracy of the depth image capturing module 12, the thermal image capturing module 13 and the millimeter wave radar module 14 when the ceiling 20 vibrates, in the present embodiment, the cylindrical arc body 2a is installed in a shock absorbing mechanism 3, and the functions of the cylindrical arc body 2a are substantially the same as those of the cylindrical arc body 2, which will not be described again. The suspension mechanism 3 includes a frame 31 and a damper 32. The cylindrical body 2a is fixed to the frame 31 by a plurality of screws, and the frame 31 is attachable to the ceiling 20.
In this embodiment, the frame 31 has two elastic fasteners 311 on each side, and is mounted on the ceiling 20 by the two elastic fasteners 311, as shown in fig. 8. The damper 32 may include a lower ring block 32a and an upper ring block 32 b. Preferably, the end of each elastic fastener 311 has a shock absorbing pad 312. The shock absorbing body 32 and the shock absorbing pad 312 may comprise a shock absorbing material, such as an elastic foam. The damper 32 surrounds the outside of the frame 31 and is interposed between the frame 31 and the ceiling 20. Each shock absorbing pad 312 is abutted against the ceiling 20, so that the shock absorbing bodies 32 and the shock absorbing pads 312 can absorb the shock from the ceiling 20 to reduce the influence of the shock on the cylindrical arc body 2a and ensure the accurate operation of the modules in the cylindrical arc body 2 a.
FIG. 9 shows another suspension mechanism 4, which is used to replace the suspension mechanism 3 shown in FIG. 7. The suspension mechanism 4 includes a frame 41, a driving module and a damping control module 422. In this embodiment, the driving module includes a plurality of Voice Coil motors 421 (VCM).
The frame 41 may be mounted on the ceiling 20. In this embodiment, the frame 41 is mounted to the ceiling 20 by two elastic fasteners 411. The cylindrical body 2b is used for accommodating the modules and is movably arranged in the frame 41. In this embodiment, the peripheral wall of the cylindrical arc body 2b has a plurality of elongated holes 41 a. The frame 41 has a plurality of shaft pins 423 inserted through the plurality of elongated holes 41 a. Preferably, a gap is reserved between each shaft pin 423 and the long hole 41a through which it passes, or a low friction bearing is provided to reduce the friction between the shaft pins 423 and the corresponding long holes 41a as much as possible, so that the cylindrical arc body 2b moves smoothly.
The damping control module 422 is disposed inside the cylindrical body 2b and coupled to the processing module 11. In one embodiment, the damping control module 422 has at least one gyroscope and one hall sensor (not shown). As shown in FIG. 10, the drive module is arranged on the cylindrical outer cylindrical body 2b and can drive the cylindrical outer cylindrical body 2b to move relative to the frame 41. In this embodiment, two voice coil motors 421 of the driving module are used for driving the cylindrical hub 2b to move axially along the X-axis, and the other two voice coil motors 421 are used for driving the cylindrical hub 2b to move axially along the Y-axis, wherein the X-axis and the Y-axis of this embodiment are perpendicular to each other.
The processing module 11 detects the small movement amount and the moving direction of the cylindrical arc body 2b caused by the vibration of the ceiling 20 via the damping control module 422, and drives the driving module to move the cylindrical arc body 2b in the direction opposite to the moving direction according to the detection result, thereby offsetting the offset, reducing the influence of the vibration on the cylindrical arc body 2b, and ensuring that each module in the cylindrical arc body 2b operates accurately.
The suspension mechanism 4 shown in FIGS. 9 to 11 preferably further comprises a shock-absorbing body 43, wherein the shock-absorbing body 43 is enclosed on the outer surface of the frame 41. Preferably, the end of each elastic fastener 411 further has a shock absorbing pad 412. The shock absorbing body 43 and the shock absorbing pads 412 may be made of shock absorbing material, such as elastic foam, and the shock absorbing body 43 is disposed between the frame 41 and the ceiling 20, and each shock absorbing pad 412 is pressed against the ceiling 20. Thus, the vibration absorbing bodies 43 and the vibration absorbing pads 412 absorb the vibration from the ceiling 20 to reduce the influence of the vibration on the cylindrical body 2 b.
Claims (11)
1. A person condition detection apparatus, comprising:
a depth image shooting module for shooting a target area to obtain a depth image;
the millimeter wave radar module is used for detecting the respiration and heartbeat of the target area to obtain a detection signal;
a thermal image shooting module for shooting the target area to obtain a thermal image;
an alarm module; and
a processing module for judging whether the target area has a human shape according to the depth image; when the unmanned shape is judged, whether the target area has breath and heartbeat is judged according to the detection signal; when breathing and heartbeat are judged, whether the life signs of people in the target area are abnormal or not is judged according to the detection signal and the thermal image; when the life signs are judged to be abnormal, the alarm module is driven to give an alarm.
2. The personnel condition detecting device of claim 1, wherein when the processing module determines that the target area has a human shape according to the depth image, whether personnel in the target area have dangerous actions is determined according to the depth image; when the dangerous action is judged, the alarm module is driven to give an alarm.
3. The personnel condition detecting device of claim 2, wherein when the processing module determines that the personnel in the target area are not in danger according to the depth image, whether the life signs of the personnel in the target area are abnormal is determined according to the detection signal and the thermal image.
4. The personnel condition detecting device of claim 2, wherein when the processing module determines that the life signs of the personnel in the target area are not abnormal according to the detection signal and the thermal image, whether the personnel in the target area have dangerous actions is determined according to the depth image; when the dangerous action is judged, the alarm module is driven to give an alarm.
5. The personnel condition detecting device as claimed in claim 1, wherein when the processing module determines that the target area is unmanned according to the depth image, it determines whether there is a movement event in the target area within a predetermined time period according to the depth image and/or the detection signal; when a moving event occurs, whether the target area has breathing and heartbeat or not is judged according to the detection signal.
6. The personnel condition detection device of claim 1 or 5, wherein when the processing module determines that the life signs of the personnel in the target area are abnormal according to the detection signal and the thermal image, whether a movement event exists in the target area within a preset time is determined according to the depth image and/or the detection signal; when there is no moving event, the alarm module is driven to give out an alarm.
7. The personnel condition detection device of claim 1, comprising an cylindrical enclosure housing the modules, wherein the millimeter wave radar module is located between the depth image capture module and the thermal image capture module within the cylindrical enclosure.
8. The person condition detection apparatus according to claim 1, comprising:
the frame is provided with two elastic buckles, and the tail end of each elastic buckle is provided with a shock pad, wherein when the frame is installed on a ceiling through the two elastic buckles, the shock pads respectively abut against the ceiling;
a cylindrical housing for receiving the modules and fixed in the frame; and
a damping body surrounding the cylindrical body, wherein when the frame is installed to the ceiling by the two elastic fasteners, the damping body is between the frame and the ceiling.
9. The person condition detection apparatus according to claim 1, comprising:
a frame;
a cylindrical body movably arranged in the frame and used for accommodating each module;
a damping control module arranged inside the cylindrical hull and coupled with the processing module; and
the driving module is arranged on the cylindrical hull body and coupled with the damping control module and can drive the cylindrical hull body to move relative to the frame;
the processing module detects the small moving amount and moving direction of the cylindrical hull via the damping control module, and drives the driving module to move the cylindrical hull in the direction opposite to the moving direction according to the detection result.
10. The personnel condition detecting device of claim 9, wherein the frame has two elastic buckles, and the end of each elastic buckle has a shock absorbing pad, wherein when the frame is mounted to a ceiling by the two elastic buckles, the shock absorbing pads are respectively pressed against the ceiling.
11. The personnel condition detecting device of claim 10 including a shock absorbing body surrounding the exterior of said frame, said shock absorbing body being interposed between said frame and said ceiling when said frame is mounted to said ceiling by said two resilient clips.
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| CN201910803323.7A CN112438708A (en) | 2019-08-28 | 2019-08-28 | Personnel condition detection device |
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