Health service system based on monitoring system and access control system

Abstract

The invention discloses a health service system based on a monitoring system and an access control system. The health service system comprises a front-end sensing system, an edge computing system, a cloud server and a management terminal, the front-end sensing system comprises an access control system, the access control system comprises a gate machine as well as a first acquisition device and a second acquisition device which are mounted on the gate machine, the first acquisition device is used for acquiring blood pressure and pulse, and the second acquisition device is used for acquiring fingerprints, oxyhemoglobin saturation and body temperature; the monitoring system comprises a high-definition visible light camera, and the high-definition visible light camera is integrated with a millimeter wave radar sensor module, an infrared thermal imaging module and an environment temperature and humidity sensor module. And the cloud server is used for deeply analyzing the preprocessed data of the edge computing system and sending an analysis result to the management terminal. According to the invention, the intelligent shortages of a traditional access control system and a monitoring system are overcome, and the active health management efficiency can be exerted in a health service scene.

Description

TECHNICAL FIELD

[0001] The present application belongs to the technical field of health information system, and particularly relates to a health service system based on a monitoring system and an access control system. BACKGROUND

[0002] Traditional access control systems and monitoring systems have been developed maturely in the field of security management, but their limitations of single function and data fragmentation are increasingly prominent, and it is difficult to meet the diversified needs of health services in modern medical institutions, elderly communities, smart parks, enterprises and other scenarios. Traditional access control and monitoring systems, as the infrastructure of security protection, have exposed many limitations that are not compatible with modern health service needs during long-term use. The original intention of the design of the access control and monitoring system is single, mainly focusing on the security control and video recording function of the entrance, lacking attention to the health status of personnel and data analysis ability. With the continuous improvement of social demand for health management, the problems of access control and monitoring systems in functional expansion, data value mining and service extension are increasingly prominent, which restricts their application value in the field of health services.

[0003] The conventional access control system only has identity authentication and access control. In order to make the access control system consider health management function, a physical sign detection module is usually added to the access control device. For example, CN118452849A discloses a comprehensive security check integrated machine health detection system, which includes an access control identification module, a body temperature measurement module, a heart rate measurement module, a blood pressure measurement module, a communication module, a data processing module, an alarm module, etc. According to the collected physiological data, it is judged whether the measurement result is qualified. If the physiological data measurement result is not qualified, the alarm module will alarm. Although this comprehensive security check integrated machine health detection system has the function of collecting physical signs, it still has the following shortcomings: 1. The method for accurately measuring the pulse at the cun, guan, and chi positions is not publicly disclosed. According to the classical pulse diagnosis system, the radial artery on the inner side of the wrist, from the wrist crease towards the elbow, is divided into three positions: cun, guan, and chi, corresponding to the physiological and pathological information of different internal organs, which is the basic operational positioning for pulse diagnosis. However, existing pulse diagnosis instruments also have the problem of insufficient accuracy in pulse taking, especially in accurately identifying congenital pulse variations, long pulses, and other special pulse characteristics. For example, CN105147261A describes a traditional Chinese medicine pulse diagnosis instrument and its method for locating the cun, guan, and chi pulse points, including a flexible body, a flexible pressure sensor array, an air bladder, a signal processing system, and a connecting structure; the flexible body is used to house the flexible pressure sensor array and the air bladder, with the air bladder covering the side of the flexible pressure sensor array away from the wrist... The position of the highest point of the radial styloid process is determined based on the pressure signal collected from the flexible pressure sensor array in the radial styloid process region of the wrist, and the positions of the cun, guan, and chi pulse points are finally determined based on the position of the highest point of the radial styloid process combined with the pressure signal collected from the flexible pressure sensor array in the radial artery region of the wrist.

[0004] However, in the 28 or 27 pulse patterns of Traditional Chinese Medicine (TCM), the pulse range of the Cun, Guan, and Chi pulses is divided into "long pulses" and "short pulses." A long pulse is straight from beginning to end, extending beyond its normal position. In TCM, pulse diagnosis should be performed by pressing on the point where the long pulse beats strongest; this is considered the most suitable point for pulse diagnosis. "Long pulse" and "short pulse" are factors in the comprehensive assessment of the four diagnostic methods. Furthermore, this method cannot distinguish between a long pulse and a normal pulse, and therefore cannot accurately pinpoint the most suitable point for pulse diagnosis within a long pulse. This method also cannot diagnose congenital pulse variations. In normal individuals, the Cun, Guan, and Chi positions are located on the radial artery on the inner side of the wrist. However, congenital pulse variations exist, such as the reverse Guan pulse and the oblique flying pulse. If measured using the above pulse-measuring method, the pulse at this location will be extremely weak or absent, leading to an incorrect diagnosis of "pulselessness" (a dangerous pathological condition, usually associated with severe illnesses such as heart failure, shock, and arteritis). Therefore, this method is not applicable to the diagnosis of reverse Guan pulses, oblique flying pulses, or long pulses in special populations.

[0005] 2. This technology utilizes camera modules to acquire and analyze image data to obtain vital sign data. High image quality is crucial; the clearer the image, the more accurate the acquired vital sign data, such as facial features used to infer health status. However, existing high-definition cameras are fixed at high locations, making it impossible to obtain high-definition image data by shortening the actual shooting distance. Only zooming in can be used, but this results in a corresponding loss of image quality, leading to inaccurate calculated vital sign data.

[0006] 3. Existing access control systems, monitoring systems, and environmental sensor data are stored independently, lacking a unified data platform for correlation analysis. For example, when an individual exhibits a health abnormality, management personnel need to retrieve access control records to check their activity trajectory, search surveillance videos to observe abnormal behavior, and review environmental data to assess influencing factors. This fragmented data acquisition method severely impacts the efficiency of health event response. Furthermore, inconsistent data standards across systems and difficulty in aligning timelines prevent the establishment of a complete correlation model between an individual's health status and the spatiotemporal environment, resulting in the loss of valuable health insights that could have been discovered through multi-source data fusion.

[0007] In summary, the shortcomings of traditional access control and monitoring systems in terms of intelligence make them inadequate in health service scenarios and unable to play a proactive role in health management. They also suffer from inaccurate vital sign data collection and discrepancies between health status assessments and actual conditions. Summary of the Invention

[0008] To address the shortcomings of existing technologies, this invention provides a health service system based on a monitoring system and an access control system, comprising a front-end sensing system, an edge computing system, a cloud server, and a management terminal. The front-end sensing system includes an access control system, which comprises a turnstile and a first and a second data acquisition device installed on the turnstile. The first data acquisition device is used to collect blood pressure and pulse, and the second data acquisition device is used to collect fingerprints, blood oxygen saturation, and body temperature. The monitoring system includes a high-definition visible light camera, which integrates a millimeter-wave radar sensor module, an infrared thermal imaging module, and an environmental temperature and humidity sensor module. The edge computing system is deployed locally to perform real-time preliminary processing and analysis of the data from the front-end sensing system. The cloud server is used for in-depth analysis of the preprocessed data from the edge computing system and sends the analysis results to the management terminal.

[0009] For individuals of different heights, the preferred embodiment of the health service system based on the monitoring and access control system in this invention is as follows: both the first and second data acquisition devices are mounted on the upper surface of the turnstile via a lifting platform, and the height of the first and second data acquisition devices is adjusted using the lifting platform. Adjusting the height via the lifting platform avoids the arm being too high or too low, which could affect the detection results, and also facilitates detection.

[0010] Different people have different hand sizes and forearm lengths. In order to accurately measure blood pressure and pulse signs, the preferred solution of the health service system based on the monitoring system and access control system in this invention is as follows: The first acquisition device includes a base installed on the lifting platform and a clamping mechanism installed on the base. The clamping mechanism includes a left clamping arm hinged to the left side of the base and a right clamping arm installed on the right side of the base. The inner surfaces of the left clamping arm and the right clamping arm are respectively provided with a first airbag with a first pressure sensor. Each first airbag is connected to the air pressure control mechanism inside the base. By moving the left and right clamping arms toward the middle, the first airbag is inflated and clamped between the left and right clamping arms. The base contains a first drive mechanism for manipulating the left and right clamping arms. The upper surface of the base has a detection base located between the left and right clamping arms. The upper surface of the detection base has a first groove adapted to the forearm, and the first groove contains a pulse detection component corresponding to the location of the radial artery at the wrist. The pulse detection component includes four rows of detection holes distributed along the length of the first groove. Each detection hole contains a second pressure sensor, and a second airbag elastically deformable along the depth direction of the detection hole is located between the bottom wall of the detection hole and the second pressure sensor. Each second airbag is connected to a pressure control mechanism. The front end of the detection base has a first telescopic plate that can move in a forward-backward direction. The detection base contains a second drive mechanism for moving the first telescopic plate. The first groove adapts to the forearm, the wrist is positioned at the front end of the first telescopic plate, and the second drive mechanism adjusts the telescopic length of the first telescopic plate so that the radial artery, approximately 2 cm from the wrist, is directly aligned with the pulse detection component. Blood pressure is measured by the first pressure sensor during the inflation and deflation of the first airbag, obtaining systolic and diastolic pressure.

[0011] To accurately obtain body temperature, fingerprints, and blood oxygen saturation for hands of different sizes, the preferred solution for the health service system based on the monitoring and access control system in this invention is as follows: The second acquisition device includes a second telescopic plate telescopically connected to the front end of the base. The upper surface of the second telescopic plate has a second recess adapted to the palm base, and a patch-type temperature sensor is installed in the second recess. The base has a third driving mechanism for driving the second telescopic plate. The second acquisition device includes a third telescopic plate telescopically connected to the front end of the second telescopic plate. The upper surface of the third telescopic plate has a third recess corresponding to the index, middle, and ring fingers, and each third recess contains a fingerprint collector and a dual-wavelength photoplethysmography sensor. The base has a fourth driving mechanism for driving the third telescopic plate. Since the wrist is positioned, the positions of the index, middle, and ring fingers in the third recess are fixed. To accommodate fingers of different lengths, the position of the third telescopic plate is adjusted so that the fingerprint collector and the dual-wavelength photoplethysmography sensor are directly below the corresponding fingertip, resulting in more accurate measurement results from the three sets of acquired data.

[0012] The beneficial effects of the health service system based on monitoring and access control systems in this invention are as follows: 1. Enables daily health data monitoring, particularly suitable for modern medical institutions, senior living communities, smart parks, and enterprises. It adds vital sign data collection functionality to existing access control systems, collecting daily health data such as pulse, blood pressure, and body temperature from employees and the elderly. This data is stored in an edge computing system, improving data security and reducing the computational burden on cloud servers. Analysis and alerts are then provided via the cloud server, offering detailed health management services for employees and the elderly. This meets the complex health monitoring needs of high-intensity occupations and the medical industry.

[0013] 2. The monitoring system can comprehensively analyze daily behaviors such as respiratory rate, body temperature, sitting and walking posture, and facial expressions in real time. Combined with vital sign data collected by the access control system, it can comprehensively determine the real-time health status, emotional changes, and personal safety of each person within the health management area. For example, it can immediately identify emergencies (falls, epilepsy, heart attacks) and report them to the management terminal, allowing administrators to take appropriate rescue measures. For instance, it can assess emotional changes in people through facial expressions and sitting posture, automatically screening for individuals with low moods and reporting this to administrators for appropriate psychological counseling. Furthermore, during epidemics, the monitoring system can obtain real-time information on people's mental state, eliminating the need for additional temporary equipment such as temperature checks and QR code scanning, and providing timely warnings, which is beneficial for epidemic control.

[0014] 3. Access control system data and monitoring system data are combined to assess the same person's health status. All data is analyzed and correlated by an edge computing system to establish a complete correlation model between an individual's health status and their spatiotemporal environment. Valuable health insights can be discovered through multi-source data fusion. This overcomes the problem of independent data and lack of correlation between existing access control and monitoring systems. It also facilitates administrators in viewing and tracking the health data of one or more individuals. This orderly organization and combination of fragmented data provides a more accurate and comprehensive reflection of human health status.

[0015] 4. Imitating the pulse-finding methods of Traditional Chinese Medicine, this system accurately locates the Cun, Guan, and Chi pulses based on the position of the radial styloid process. It also identifies the optimal pulse-taking location and determines the presence of long pulses, reversed Guan pulses, and oblique flying pulses. This solves the technical challenge of inaccurate detection due to variations in pulse location caused by individual physiological structures, body types, ages, and genders. Finding the optimal pulse-taking location results in more accurate pulse information, significantly reducing the probability of misdiagnosis.

[0016] 5. High-definition visible light cameras integrate millimeter-wave radar sensor modules, infrared thermal imaging modules, and environmental temperature and humidity sensor modules, making them more expensive than existing high-definition cameras. To reduce the equipment cost of the health service system, two adjacent office areas or rooms (separated by a single wall) can share the same high-definition visible light camera. An electric slider moves the camera along a U-shaped track, patrolling back and forth between the two office areas or rooms, achieving the same data collection, thus reducing the number of high-definition visible light cameras and lowering equipment costs.

[0017] 6. The lifting mechanism can lower the high-definition visible light camera to a suitable position, shortening the camera distance to obtain clearer image data when it is necessary to capture special facial data at close range. The health status judged based on the vital signs data is more accurate, reducing the deviation from the true health status. Attached Figure Description

[0018] To more clearly illustrate the technical solutions in the embodiments of this application or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments recorded in this application. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0019] Figure 1 This is a schematic diagram of the module connections of the health service system based on the monitoring system and access control system in this invention; Figure 2 This is a schematic diagram of the access control system in this invention; Figure 3 This is a schematic diagram of the structure of the first and second acquisition devices in this invention. Figure 1 ; Figure 4 This is a schematic diagram of the structure of the first and second acquisition devices in this invention. Figure 2 ; Figure 5 for Figure 4 A schematic diagram of the left and right clamping arms after they have been deployed; Figure 6 This is a schematic diagram showing the connection between the first telescopic plate and the detection base in this invention; Figure 7 This is a cross-sectional view of the detection hole in this invention; Figure 8 This is a schematic diagram of the high-definition visible light camera in this invention installed indoors; Figure 9 for Figure 8 A magnified view of a section behind a hidden high-definition visible light camera; Figure 10 for Figure 9 A schematic diagram showing the U-shaped track body hidden within.

[0020] Reference numerals: 1. Turnstile; 2. First data acquisition device; 3. Second data acquisition device; 4. Lifting platform; 5. Base; 6. Left clamping arm; 7. Right clamping arm; 8. First airbag; 9. Detection base; 10. First sink; 11. Pulse detection component; 12. First telescopic plate; 13. Second telescopic plate; 14. Second sink; 15. Surface mount temperature sensor; 16. Third telescopic plate; 17. Third sink; 18. Fingerprint collector; 19. Dual-wavelength photoplethysmography sensor; 20. Servo motor 21. Screw; 22. Slide groove; 23. Notch; 24. Hinge shaft; 25. Detection hole; 26. Second pressure sensor; 27. Second airbag; 28. Matrix of patch pressure sensors; 29. ​​High-definition visible light camera; 30. U-shaped track body; 31. Lifting mechanism; 32. Single wall; 33. Electric slider; 34. Electric drum; 35. Horizontal guide cylinder; 36. Longitudinal guide cylinder; 37. Connecting rod; 38. Guide wheel; 39. Fixed rod; 40. Electric heating coil. Detailed Implementation

[0021] In view of the shortcomings of the prior art, the inventors of this invention, through long-term research and extensive practice, have proposed the technical solution of this invention. The technical solution, its implementation process, and principles will be further explained below with reference to the accompanying drawings and specific implementation examples in the embodiments of this application.

[0022] As shown in Figure 1, Embodiment 1 provides a health service system based on a monitoring system and an access control system, including a front-end sensing system, an edge computing system, a cloud server, and a management terminal. The front-end sensing system includes an access control system, as shown in the figure. The access control system includes a turnstile 1 and a first data acquisition device 2 and a second data acquisition device 3 installed on the turnstile 1. The first data acquisition device 2 is used to collect blood pressure and pulse, and the second data acquisition device 3 is used to collect fingerprints, blood oxygen saturation, and body temperature. Multiple turnstiles 1 can be installed, and each turnstile is equipped with one first data acquisition device 2 and one second data acquisition device 3. In this embodiment, the first data acquisition device 2 and the second data acquisition device 3 are suitable for collecting data on the right hand, facilitating the measurement of the radial artery at the wrist, as the radial artery is located near the thumb. The specific structures of the first data acquisition device 2 and the second data acquisition device 3 are as follows: Both the first data acquisition device 2 and the second data acquisition device 3 are mounted on the upper surface of the gate 1 via a lifting platform 4. The height of the first data acquisition device 2 and the second data acquisition device 3 can be adjusted via the lifting platform 4. Adjusting the height via the lifting platform 4 prevents the arm from being too high or too low, which could affect the detection results, and also facilitates detection. The specific structure of the lifting platform 4 is not limited, as long as it has lifting and hovering functions.

[0023] likeFigure 3 , Figure 4 and Figure 5 As shown, the first acquisition device 2 includes a base 5 mounted on a lifting platform 4 and a clamping mechanism mounted on the base 5. The clamping mechanism includes a left clamping arm 6 hinged to the left side of the base 5 and a right clamping arm 7 mounted on the right side of the base 5. The inner surfaces of the left clamping arm 6 and the right clamping arm 7 are respectively provided with first airbags 8 equipped with first pressure sensors. The outer surface of the first airbags 8 is provided with a patch-type pressure sensor matrix 28, and each first airbag 8 is connected to the air pressure control mechanism inside the base 5. By moving the left clamping arm 6 and the right clamping arm 7 towards the middle, the first airbags 8 are inflated and clamped between the left clamping arm 6 and the right clamping arm 7. Here, the patch-type pressure sensor matrix 28 refers to multiple patch-type pressure sensors arranged horizontally in a rectangle, with the length and width of each patch-type pressure sensor not exceeding 0.5 cm, which can accurately detect pulse pressure in a small range. The base 5 contains a first driving mechanism for driving the left clamping arm 6 and the right clamping arm 7 to move. The upper surface of the base 5 has a detection base 9 located between the left clamping arm 6 and the right clamping arm 7. The upper surface of the detection base 9 has a first groove 10 adapted to the forearm, and the first groove 10 has a pulse detection component 11 corresponding to the location of the radial artery in the wrist. As shown in the figure, the pulse detection component 11 includes two rows of detection holes 25 distributed along the length of the first groove 10, with ten independent detection holes 25 in each row. A second pressure sensor 26 is provided in each detection hole 25, and a second air bladder 27, which can elastically deform along the depth direction of the detection hole 25, is provided between the bottom wall of the detection hole 25 and the second pressure sensor 26. To better fit the second pressure sensor 26 to the skin and improve detection accuracy, a flexible piezoresistive membrane is used for the second pressure sensor 26. Under the compression of the second air bladder 27, the flexible piezoresistive membrane can fully adhere to the skin, thereby accurately obtaining the pulse intensity. The twenty second airbags 27 here are connected to the air pressure control mechanism, which controls the amount of expansion and contraction of each second airbag 27 along the detection hole 25, that is, controls the pressure of each flexible piezoresistive membrane pressed against the skin.

[0024] The front end of the detection base 9 is provided with a first telescopic plate 12 that can move in the front-back direction, and the interior of the detection base 9 is provided with a second driving mechanism for driving the first telescopic plate 12 to move.

[0025] The second acquisition device 3 includes a second telescopic plate 13 telescopically connected to the front end of the base 5. The upper surface of the second telescopic plate 13 is provided with a second recess 14 adapted to the palm heel, and a patch-type temperature sensor 15 is provided in the second recess 14. The base 5 is provided with a third driving mechanism for driving the second telescopic plate 13. The second acquisition device 3 includes a third telescopic plate 16 telescopically connected to the front end of the second telescopic plate 13. The upper surface of the third telescopic plate 16 is provided with a third recess 17 corresponding to the index finger, middle finger and ring finger, and each third recess 17 is provided with a fingerprint collector 18 and a dual-wavelength photoplethysmography sensor 19. The base 5 is provided with a fourth driving mechanism for driving the third telescopic plate 16.

[0026] The second, third, and fourth drive mechanisms described above have the same structure, all employing a combination of a servo motor 20 and a lead screw 21. The servo motor 20 is a brake-type servo motor, which keeps the shaft stationary after power failure, facilitating positioning. For example, a sliding connection is used between the detection base 9 and the first telescopic plate 12. Specifically, a groove 22 adapted to the first telescopic plate 12 is provided inside the detection base 9, and the rear end of the detection base 9 extends into the groove 22 to form a sliding connection structure. As shown in the figure, the servo motor 20 is also fixedly installed at the rear end of the detection base 9. The shaft of the servo motor 20 is coaxially fixed with one end of the lead screw 21, and the other end of the lead screw 21 extends into the inner cavity of the detection base 9 and is threadedly connected to the first telescopic plate 12. The servo motor 20 drives the lead screw 21 to rotate, while the first telescopic plate 12 does not rotate but slides along the groove 22. Similarly, the second telescopic plate 13 and the base 5 adopt the same sliding structure and the same servo motor 20 and lead screw 21 combined drive mechanism, and the third telescopic plate 16 and the second telescopic plate 13 also adopt the same sliding structure and the same servo motor 20 and lead screw 21 combined drive mechanism, but the servo motor 20 of the second telescopic plate 13 and the third telescopic plate 16 are fixedly installed at the rear end of the base 5.

[0027] like Figure 5 As shown, the first drive mechanism employs two separate servo motors 20. These two servo motors 20 are located near the left and right sides of the base 5. The base 5 has notches 23 corresponding to the left clamping arm 6 and the right clamping arm 7, respectively. The left clamping arm 6 and the right clamping arm 7 are respectively hinged to the two notches 23 via hinge shafts 24. The output shafts of the two servo motors 20 extend into the base 5 and are coaxially fixed to the two hinge shafts 24. By synchronously rotating the two servo motors 20 forward or in reverse, the left clamping arm 6 and the right clamping arm 7 can be simultaneously moved towards the center or simultaneously opened to both sides.

[0028] The front-end sensing system also includes a monitoring system. This system integrates a millimeter-wave radar sensor module, an infrared thermal imaging module, and an environmental temperature and humidity sensor module on top of existing cameras. The camera used is a high-definition visible light camera 29, which outperforms ordinary cameras in image quality, low-light performance, and functional expandability, making it more suitable for recognizing faces, facial expressions, and respiratory rates. The millimeter-wave radar sensor module, combined with a breathing algorithm, utilizes the periodic fluctuations of the chest cavity to generate a micro-Doppler frequency shift in the reflected millimeter-wave signal, thereby extracting the respiratory waveform and improving the accuracy of respiratory rate. Besides directly acquiring human movements and expressions using the high-definition visible light camera 29, it can also distinguish between stationary and large-scale movements (such as walking and running) through Doppler signals, thus making human posture detection more accurate. Within the monitoring range, the infrared thermal imaging module captures accurate human body temperature in real time, correcting the temporary body temperature data acquired by the first acquisition device 2. The environmental temperature and humidity sensor module monitors the temperature and humidity in the environment in real time, forming a closed-loop feedback mechanism.

[0029] like Figure 8 , Figure 9 As shown; to obtain the aforementioned body temperature and respiratory rate data more accurately, and to reduce equipment costs, the high-definition visible light camera 29 in this embodiment is installed indoors via a U-shaped electric track assembly. Specifically, the U-shaped electric track assembly includes a U-shaped track body 30 and a lifting mechanism 31. Both ends of the U-shaped track body 30 extend towards both sides of a single indoor wall 32, and the U-shaped track body 30 is connected to the indoor ceiling via the lifting mechanism 31. Two adjacent office areas or rooms are separated by a single wall 32. The U-shaped track body 30 can bypass the single wall 32, placing the single wall 32 in the middle of the U-shaped track body 30. The electric slider 33 drives the high-definition visible light camera 29 to patrol back and forth along the U-shaped track body 30 between the two office areas or rooms. The two rooms share the same high-definition visible light camera 29, thereby reducing the number of high-definition visible light cameras 29 and lowering equipment costs. In addition, in order to obtain the above-mentioned vital signs data more accurately, the high-definition visible light camera 29 in this embodiment is connected to the electric slider 33 of the U-shaped track body 30. The lifting mechanism 31 can drive the high-definition visible light camera 29 to a suitable position, shorten the shooting distance to obtain clearer image data, and identify vital signs more accurately.

[0030] To minimize the impact of the U-shaped motorized track assembly on the lower part of the indoor activity space, the initial position of the U-shaped motorized track assembly should be high enough, as close as possible to the indoor ceiling, while not damaging the wall structure and reducing installation limitations. This embodiment employs a special lifting structure, the specific structure of which is as follows: like Figure 9 and Figure 10As shown, the lifting mechanism 31 includes an electric drum 34, a transverse guide cylinder 35, a longitudinal guide cylinder 36, and a connecting rod 37 made of shape memory alloy. The connecting rod 37 can be bent arbitrarily at room temperature and has a certain shaping ability. When the connecting rod 37 is heated above the critical temperature, it returns to its initial straight shape. One end of the connecting rod 37 is wound around the electric drum 34. The transverse guide cylinder 35 and the longitudinal guide cylinder 36 are respectively fixed above the U-shaped track body 30, and a guide wheel 38 is provided between the transverse guide cylinder 35 and the longitudinal guide cylinder 36. The transverse guide cylinder 35, the guide wheel 38, and the longitudinal guide cylinder 36 are located in a straight line. The guide wheel 38 is fixed to the side of the single wall 32 by a fixed shaft, while the transverse guide cylinder 35 and the longitudinal guide cylinder 36 are fixed to the top wall by a fixed rod 39. The other end of the connecting rod 37 passes through the transverse guide cylinder 35, around the guide wheel 38, and through the longitudinal guide cylinder 36 before being fixedly connected to the U-shaped track body 30. An electric heating coil 40 is fitted onto the longitudinal guide cylinder 36.

[0031] If the high-definition visible light camera 29 needs to descend, the electric drum 34 rotates in the opposite direction to release the connecting rod 37 wound on the drum, which is equivalent to pushing the connecting rod 37. At the same time, under the gravity of the U-shaped track body 30 and the high-definition visible light camera 29, a vertical downward pulling force is applied to the connecting rod 37, forcing the connecting rod 37 to pass around the guide wheel 38 and bend at room temperature. The electric heating coil 40 heats the connecting rod 37 located in the longitudinal guide cylinder 36, causing this part of the connecting rod 37, which was in a vertical state, to return to its initial straight state, acting as a vertical anchor rod and providing rigid support for the U-shaped track body 30, so that the U-shaped track body 30 does not sway during descent.

[0032] If the high-definition visible light camera 29 needs to rise, the electric heating coil 40 stops heating, and the electric drum 34 rotates forward to retract the connecting rod 37. At room temperature, the connecting rod 37 can be bent, and it is pulled and wound onto the drum. To maintain high stability during the retrieval process, the lifting mechanism 31 is provided in four sets, located on both sides of the single wall 32. The four connecting rods 37 of the four lifting mechanisms 31 are retracted simultaneously, forming four tensile stress support points for the U-shaped track body 30, allowing the U-shaped track body 30 to rise smoothly and reducing swaying.

[0033] The lifting mechanism 31 allows the U-shaped electric track assembly to be as close as possible to the indoor ceiling without damaging the indoor wall structure. The U-shaped electric track assembly and the lifting mechanism 31 are all concentrated on the ceiling, and will only descend when close-up shooting or angle adjustment is needed, thus not affecting normal indoor activities.

[0034] In this embodiment, the edge computing system is deployed locally to perform real-time preliminary processing and analysis of data from the front-end sensing system (including access control system data and monitoring system data). The hardware of the edge computing system utilizes existing technology, primarily comprising a high-performance processor with an AI inference optimization chip, a network and communication component, a storage and security component, and stable power supply peripherals. All components or modules employ the same standard communication protocol, achieving specialized and modular development (pluggable sensor interfaces) while balancing industrial-grade reliability with consumer-grade cost control. The edge computing system integrates multiple AI algorithms and health assessment models. Its computer vision-based behavioral analysis algorithms can identify gait abnormalities, falls, and other unexpected situations. The learning model of the edge computing system can predict trends in long-term collected physiological parameters, enabling early detection of potential health risks. The edge computing system reduces cloud latency and cloud load, improving local data security. Furthermore, the edge computing system incorporates knowledge graph technology to structure medical guidelines and health knowledge, providing decision support for subsequent services. The analysis results are sent to the cloud server, which is used for in-depth analysis of the preprocessed data of the edge computing system and sends the analysis results or early warning results to the management terminal. The online personnel on the terminal take corresponding measures based on the returned results.

[0035] This embodiment also provides a data acquisition method for an access control system, based on the aforementioned health service system based on a monitoring system and an access control system. The method is as follows: When passing through the access control system, pulse, blood pressure, body temperature, fingerprints, and blood oxygen saturation are collected. Unlike existing access control systems, this system requires the palm to be facing down, the forearm to be horizontal, and the wrist to be placed in front of the first telescopic plate 12. The first telescopic plate 12 is slid by the second drive mechanism to move the radial artery of the wrist to the pulse detection component 11. This is to ensure that the cun, guan, and cun portions of the radial artery of the wrist fall within the detection range of the second pressure sensor 26.

[0036] 1. First, collect blood pressure data: The wrist is raised and lowered by the lifting platform 4 to keep it at the same level as the heart. The first drive mechanism drives the left clamp arm 6 and the right clamp arm 7 to move closer to the middle. The air pressure control mechanism inflates and deflates the two first air bags 8. The systolic pressure and diastolic pressure, i.e. blood pressure, are obtained by combining the oscillometric method and capturing the fluctuation signal by the first pressure sensor.

[0037] 2. Then collect pulse intensity data: Before collecting pulse intensity, localization is required. Specifically, the radial styloid process is located first: the left clamping arm 6 and the right clamping arm 7 are not released, the air pressure control mechanism maintains the first airbag 8 at a suitable pressure, and the air pressure control mechanism pushes all the second airbags 27 to push the corresponding second pressure sensor 26 to adhere to the skin by the same extension amount. The pressure value detected by some second pressure sensors 26 is higher than that of other second pressure sensors 26. The location of the second pressure sensor 26 with the higher pressure value is determined to be the radial styloid process.

[0038] The wrist is positioned in front of the first telescopic plate 12. Since the radial styloid process is located within the range of the four rows of detection holes 25, and since the second pressure sensor 26 is pushed out by the same amount, and the radial styloid process is higher than other parts, the pressure detected by the second pressure sensor 26 corresponding to the radial styloid process will be higher than that of other second pressure sensors 26, thus accurately determining the position of the radial styloid process.

[0039] To accurately locate the Cun, Guan, and Chi positions: all the second air bladders 27 reposition their corresponding second pressure sensors 26. The two rows of second air bladders 27 located medial to the radial styloid process push their corresponding second pressure sensors 26 against the skin. These two rows of second pressure sensors 26 are shown in the diagram; the remaining second pressure sensors 26 are not shown. In a normal pulse, at least two second pressure sensors 26 detect the pulse beat. One second pressure sensor 26 is near the wrist and corresponds to the Cun position, while the other corresponds to the Guan position. The location of the second pressure sensor 26 adjacent to the Guan position corresponds to the Chi position, thus accurately locating the Cun, Guan, and Chi positions.

[0040] Since the cun pulse and guan pulse do not belong to the deep pulse, the cun pulse and guan pulse of ordinary people can be easily detected. The position of the styloid process of the radius is determined. Therefore, under normal circumstances (not belonging to the long pulse, inverse guan pulse, and oblique flying pulse), at least two of the two rows of second pressure sensors 26 can capture the periodic pressure change. The pulse positions corresponding to these two parts are the cun part and guan part, and the part adjacent to the guan part must be the chi part, so as to accurately find the positions of the cun part, guan part, and chi part. Then, obtain the pulse beating intensity data of the cun pulse, guan pulse, and chi pulse: First, the second airbag 27 corresponding to the cun part pushes the corresponding second pressure sensor 26 according to the set stepped extension amount. The pressure of the second pressure sensor 26 pressing against the cun part increases sequentially until the maximum extension amount is reached, and a pressure value is obtained each time it extends. One of the ways of traditional Chinese medicine pulse diagnosis is to observe the floating and sinking of the pulse, that is, to change the finger pressure on the pulse, and the pulse beating intensity feedback is different. Therefore, each time the second pressure sensor 26 is pushed out a little, the detected pulse beating intensity changes, and these changes are used as one of the comprehensive factors for judging health. Finally, the pressure values of the guan part and chi part are obtained in the same way as above. Since the chi pulse belongs to the deep pulse and the pulse-taking force is greater, the maximum extension amount of the chi part is greater than that of the cun part and guan part.

[0041] If, during the above detection process, it is not two second pressure sensors 26 that can capture the periodic pressure change, but four or more second pressure sensors 26 detect the pulse beating, it is determined as the long pulse, and the best pulse-taking part needs to be determined. Determine the best pulse-taking part: Two second pressure sensors 26 detect stronger pulse beating. One of the second pressure sensors 26 is close to the wrist, and this second pressure sensor 26 corresponds to the cun part. The other second pressure sensor 26 corresponds to the guan part, and the part with the weakest beating is the chi part, so as to accurately locate the cun part, guan part, and chi part. Finally, according to the same detection method of the above stepped extension amount, the collected pulse beating intensity data of the cun part, guan part, and chi part are obtained in turn.

[0042] If, during the above detection process, all second pressure sensors 26 cannot detect the pulse beating, and the patch-type pressure sensor matrix 28 detects the pulse beating, it is determined as a congenital variant pulse condition and is marked by the system. Since the patch-type pressure sensor matrix 28 cannot apply the pulse-taking pressure, it is impossible to judge the deep pulse, and only manual pulse-taking can be used to judge the health status.

[0043] 3. Collect body temperature data: The third driving mechanism drives the second telescopic plate 13 to move, so that the palm root is located at the second sinking groove 14, and the palm root is in contact with the patch-type temperature sensor 15. The patch-type temperature sensor 15 obtains the body temperature, and the body temperature here only represents the rough body temperature and needs to be further calibrated and verified.

[0044] 4. Collect fingerprint and blood oxygen saturation data: The fourth drive mechanism moves the third telescopic plate 16, so that the index finger, middle finger and ring finger are placed into the three third sinks 17 one by one. The fingerprint collector 18 and the dual-wavelength photoplethysmography sensor 19 in each third sink 17 collect a set of fingerprints and blood oxygen saturation.

[0045] Therefore, each time a person passes through gate 1, they receive data on blood pressure, pulse intensity, body temperature, fingerprint, and blood oxygen saturation. This data is sent to the edge computing system, where it is combined with an existing database of traditional Chinese and Western medicine knowledge. Based on this data, a preliminary assessment of the person's health status can be made. Furthermore, the above control process is automatically executed by an automated data collection program stored within the access control system, but the person being measured must cooperate. If any one of the three fingerprint sets matches a fingerprint stored in the access control system, the left clamp arm 6 and right clamp arm 7 release and reset, and gate 1 allows passage, completing the data collection. If none of the three fingerprint sets match a fingerprint stored in the access control system, the data collection fails, the left clamp arm 6 and right clamp arm 7 release, but gate 1 does not allow passage.

[0046] The access control system uses data acquisition methods to obtain initial vital sign data upon entering the access control area, thus determining the individual's health status at the access point. After passing through the access control and entering the monitoring range of the surveillance system, a high-definition visible light camera acquires real-time body temperature, recognizes facial features and expressions, respiratory rate, and posture data. Based on this data and combined with algorithms, a comprehensive judgment is made regarding the individual's health status. As long as the individual remains within the monitored area, a health status judgment is made at regular intervals until they leave the access control area. The system combines the health status data from entering the access control area, the real-time health status within the monitored area, and the health status upon leaving the access control area to determine the individual's overall health status throughout the day. In other words, by integrating and reconstructing all data from the front-end sensing system, the edge computing system achieves breakthroughs in health management in terms of cost, coverage, accuracy, and timeliness, providing a practical, efficient, and sustainable health solution for various locations. This system is not only a technological innovation but also represents a revolutionary change in health management concepts, organically combining monitoring and access control systems, and is expected to become a standard configuration for future smart buildings and smart parks.

[0047] It should be understood that the above embodiments are only for illustrating the technical concept and features of the present invention, and are intended to enable those skilled in the art to understand the content of the present invention and implement it accordingly. It should not be considered that the specific implementation of the present invention is limited to these descriptions. For those skilled in the art, several simple deductions or substitutions can be made without departing from the concept of the present invention. All equivalent changes or modifications made in accordance with the spirit and essence of the present invention should be covered within the protection scope of the present invention.

Claims

1. A health service system based on a monitoring system and an access control system, characterized in that: This includes front-end sensing systems, edge computing systems, cloud servers, and management terminals; The front-end sensing system includes an access control system, which includes a turnstile and a first and a second data acquisition device installed on the turnstile. The first data acquisition device is used to collect blood pressure and pulse, and the second data acquisition device is used to collect fingerprints, blood oxygen saturation, and body temperature. The monitoring system includes a high-definition visible light camera, which is installed indoors via a U-shaped electric track assembly. The high-definition visible light camera integrates a millimeter-wave radar sensor module, an infrared thermal imaging module, and an environmental temperature and humidity sensor module. The U-shaped electric track assembly includes a U-shaped track body and a lifting mechanism. The two ends of the U-shaped track body extend to both sides of the indoor single wall, and the U-shaped track body is connected to the indoor ceiling wall through the lifting mechanism. The high-definition visible light camera is connected to the electric slider of the U-shaped track body, and the lifting mechanism drives the U-shaped track body to rise and fall, thereby making the high-definition visible light camera rise and fall synchronously. The edge computing system is deployed locally to perform real-time preliminary processing and analysis of data from the front-end sensing system. The cloud server is used for in-depth analysis of the preprocessed data of the edge computing system and sends the analysis results to the management terminal.

2. The health service system based on a monitoring system and an access control system according to claim 1, characterized in that: Both the first and second data acquisition devices are mounted on the upper surface of the gate via a lifting platform, and the height of the first and second data acquisition devices is adjusted by the lifting platform.

3. A health service system based on a monitoring system and an access control system according to claim 2, characterized in that: The first acquisition device includes a base mounted on a lifting platform and a clamping mechanism mounted on the base. The clamping mechanism includes a left clamping arm hinged to the left side of the base and a right clamping arm mounted on the right side of the base. The inner surfaces of the left and right clamping arms are respectively provided with first airbags with first pressure sensors. The outer surfaces of the first airbags are provided with a patch-type pressure sensor matrix. Each first airbag is connected to the air pressure control mechanism inside the base. The first airbags are inflated and clamped between the left and right clamping arms by the left and right clamping arms moving towards the middle.

4. A health service system based on a monitoring system and an access control system according to claim 3, characterized in that: The base has a first driving mechanism inside for driving the left and right clamping arms to move. The upper surface of the base has a detection base located between the left and right clamping arms. The upper surface of the detection base has a first groove adapted to the forearm, and the first groove has a pulse detection component corresponding to the location of the radial artery in the wrist. The pulse detection component includes at least four rows of detection holes distributed along the length of the first groove. Each detection hole has a second pressure sensor, and a second air bladder that can elastically deform along the depth direction of the detection hole is provided between the bottom wall of the detection hole and the second pressure sensor. Each second air bladder is connected to a pneumatic control mechanism.

5. A health service system based on a monitoring system and an access control system according to claim 4, characterized in that: The front end of the detection base is provided with a first telescopic plate that can move in the front-back direction, and the interior of the detection base is provided with a second driving mechanism for driving the first telescopic plate to move.

6. A health service system based on a monitoring system and an access control system according to claim 5, characterized in that: The second acquisition device includes a second telescopic plate telescopically connected to the front end of the base. The upper surface of the second telescopic plate is provided with a second groove adapted to the palm heel, and a patch-type temperature sensor is provided in the second groove. The base is provided with a third driving mechanism for driving the second telescopic plate.

7. A health service system based on a monitoring system and an access control system according to claim 6, characterized in that: The second acquisition device includes a third telescopic plate that is telescopically connected to the front end of the second telescopic plate. The upper surface of the third telescopic plate is provided with a third groove corresponding to the index finger, middle finger and ring finger, and each third groove is provided with a fingerprint collector and a dual-wavelength photoplethysmography sensor. The base is provided with a fourth driving mechanism for driving the third telescopic plate.

8. A health service system based on a monitoring system and an access control system according to claim 1, characterized in that: The lifting mechanism includes an electric drum, a horizontal guide cylinder, a vertical guide cylinder, and a connecting rod made of shape memory alloy. One end of the connecting rod is wound around the electric drum. The horizontal and vertical guide cylinders are respectively fixed above the U-shaped track body, and a guide wheel is provided between the horizontal and vertical guide cylinders. The other end of the connecting rod passes through the horizontal guide cylinder, around the guide wheel, and through the vertical guide cylinder before being fixedly connected to the U-shaped track body. An electric heating coil is fitted on the vertical guide cylinder.

9. A data acquisition method for an access control system, characterized in that: The health service system based on the monitoring system and access control system as described in claim 7 includes the following steps: S1. Blood pressure measurement: S101, with palm facing down, forearm horizontal and wrist placed in front of the first telescopic plate, the first telescopic plate is slid by the second drive mechanism so that the radial artery of the wrist moves to the pulse detection component; S102. The lifting platform is raised and lowered so that the wrist is at the same level as the heart. The first drive mechanism drives the left and right clamping arms to move towards the middle. The air pressure control mechanism inflates and deflates the two first airbags. The systolic and diastolic pressures are obtained by combining the oscilloscope method and capturing the fluctuation signal by the first pressure sensor. S2. Collect pulse intensity: S201. Locating the radial styloid process: With the left and right clamping arms still in place, the air pressure control mechanism keeps the first airbag at a suitable pressure. The air pressure control mechanism also causes all the second airbags to push the corresponding second pressure sensors to adhere to the skin with the same extension amount. If the pressure value detected by some second pressure sensors is higher than that of other second pressure sensors, the location of the second pressure sensor with the higher pressure value is determined to be the radial styloid process. S202, Locating the Cun, Guan, and Chi positions: All the second airbags drive the corresponding second pressure sensors to reset. The two rows of second airbags located on the inner side of the radial styloid process push the corresponding second pressure sensors to press against the skin. If it is a normal pulse, at least two second pressure sensors will detect the pulse beat. One of the second pressure sensors is close to the wrist and corresponds to the Cun position. The other second pressure sensor corresponds to the Guan position. The position corresponding to the second pressure sensor adjacent to the Guan position is the Chi position, thereby accurately locating the Cun, Guan, and Chi positions. S2021. Obtain pulse intensity data of Cun, Guan and Chi pulses: First, the second airbag corresponding to Cun extends according to the set step extension to push the corresponding second pressure sensor. The pressure of the second pressure sensor pressing against Cun increases sequentially until the maximum extension is reached, and a pressure value is obtained each time it extends. S2022. Obtain the pressure values ​​of the gate and the ruler in sequence according to S2021, and the maximum extension of the ruler is greater than that of the inch and the gate. S203. If four or more second pressure sensors in S202 detect a pulse, it is determined to be a long pulse, and the optimal pulse-taking site needs to be determined. S2031. Determining the optimal pulse location: Two second pressure sensors detect a strong pulse. One of the second pressure sensors is close to the wrist and corresponds to the cun position, while the other second pressure sensor corresponds to the guan position. The weakest pulse is detected at the chi position, thus accurately locating the cun, guan, and chi positions. S2032. Obtain pulse intensity data for Cun, Guan, and Chi pulses according to S2021; S204. If none of the second pressure sensors in S202 detect a pulse, but the patch pressure sensor matrix detects a pulse, it is determined to be a congenital abnormal pulse, which is marked by the system and the health status is determined by manual pulse diagnosis. S3. Collect body temperature, fingerprints, and blood oxygen saturation: S301, the third drive mechanism drives the second telescopic plate to move, so that the palm heel is located in the second sink, and the palm heel is in contact with the patch temperature sensor, and the patch temperature sensor acquires body temperature. S302, the fourth drive mechanism drives the third telescopic plate to move, so that the index finger, middle finger and ring finger are placed into the three third sinks one by one. The fingerprint collector and dual-wavelength photoplethysmography sensor in each third sink collect a set of fingerprints and blood oxygen saturation. S4. If any one of the three fingerprint sets matches the fingerprint stored in the access control system, the left and right clamping arms will release and reset, and the gate will allow passage, thus completing the data acquisition.

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