CN114343595B - Intelligent community endowment service system - Google Patents
Intelligent community endowment service system Download PDFInfo
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- CN114343595B CN114343595B CN202210169982.1A CN202210169982A CN114343595B CN 114343595 B CN114343595 B CN 114343595B CN 202210169982 A CN202210169982 A CN 202210169982A CN 114343595 B CN114343595 B CN 114343595B
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Abstract
The invention discloses a community intelligent endowment service system, which comprises: the behavior acquisition module is used for acquiring the behavior data of the old through a camera combined gesture acquisition belt; the vital sign acquisition module is used for acquiring vital sign data of the old and feeding back the vital sign data to the vital sign analysis module in real time; the behavior analysis module is used for analyzing the behavior data of the old so as to acquire abnormal behaviors and psychological demands of the old; the vital sign analysis module is used for analyzing vital sign data so as to acquire abnormal vital signs; the abnormal real-time feedback module is used for generating a corresponding abnormal investigation task to a corresponding manager terminal by a preset template, and a manager can complete the corresponding abnormal investigation task by completing filling and uploading of an abnormal investigation report by a preset template. The invention realizes the omnibearing automatic monitoring of the old, reduces the monitoring blind area as much as possible, introduces the identification and auxiliary realization functions of physiological demands, and greatly improves the experience of customers.
Description
Technical Field
The invention relates to the field of monitoring systems, in particular to a community intelligent endowment service system.
Background
With the increasing aging of the population, the problem of aging is a social concern. The investigation and research show that the current home care mode accounts for 64.25% of the total number of people, the community care (mainly home care and assisted by community institutions) accounts for 33.82%, the care community (specially established for the elderly) accounts for 23.67%, the institution care accounts for only 12.56%, and specific data are shown in fig. 1. With further age of the elderly population, specialized communities are necessary to provide detection and services for the top door, and community care modes promote and supplement home care.
The construction of the community endowment of 'internet+' breaks through the problems of traditional community endowment information hysteresis and occlusion, but the following defects generally exist:
1) The living and living of the old is monitored by adopting a camera, and a large monitoring blind area exists due to the requirement of personal privacy;
2) The video data is required to be observed manually, so that on one hand, the cost is high, and on the other hand, once the observer is neglected, accidents are easy to happen;
3) The physiological requirement of the old is neglected, and the customer experience is poor.
Disclosure of Invention
In order to solve the problems, the invention provides the community intelligent endowment service system, which realizes the omnibearing automatic monitoring of the old, reduces the monitoring blind area as much as possible, introduces the identification and auxiliary realization functions of physiological requirements, and greatly improves the experience of clients.
In order to achieve the above purpose, the technical scheme adopted by the invention is as follows:
a community intelligent pension service system, comprising: the behavior acquisition module is used for acquiring the behavior data of the old through a camera combined gesture acquisition belt; the vital sign acquisition module is used for acquiring vital sign data of the old and feeding back the vital sign data to the vital sign analysis module in real time; the behavior analysis module is used for analyzing the behavior data of the old so as to acquire abnormal behaviors and psychological demands of the old; the vital sign analysis module is used for analyzing vital sign data so as to acquire abnormal vital signs; the abnormal real-time feedback module is used for generating a corresponding abnormal investigation task to a corresponding manager terminal by a preset template, and a manager can complete the corresponding abnormal investigation task by completing filling and uploading of an abnormal investigation report by a preset template.
In this embodiment, the gesture collection belt includes a waistband with a three-dimensional gesture sensor, and a wristband with a temperature sensor, a pulse sensor, and a three-dimensional gesture sensor.
In the embodiment, the camera is arranged based on a visual monitoring area selected by the old man, and the matrix information of the SO3 is rotated and moved in the visual monitoring area by the angle of the skeleton pair corresponding to the depth information of the image fed back by the camera to serve as the behavior data of the old man; and acquiring three-dimensional posture information of the old with feedback in the invisible monitoring area by using the posture as the behavior data of the old.
In this embodiment, the behavior analysis module implements identification and classification of behavior data of the elderly based on the Bi-lstm+attention model, obtains psychological needs corresponding to each behavior data, and determines that abnormal behavior is identified when the identified behavior data of the elderly is dangerous or the corresponding psychological needs cannot be satisfied autonomously.
In this embodiment, the vital sign data includes body temperature data and pulse data.
In this embodiment, different abnormal behaviors correspond to different abnormal investigation task generating templates, contents filled in an abnormal investigation report are evaluated based on whether a problem corresponding to the abnormal behavior can be solved or not, the corresponding abnormal investigation task can be completed if the problem can be solved, if the abnormal behavior is not solved after the abnormal investigation report is uploaded, a supervision module is started, and a supervision staff is informed of carrying out auxiliary progress of the abnormal investigation task.
In this embodiment, the method further includes: the safety range limiting module is used for defining different safety movable ranges according to different old people, and when the positioning data fed back by the old people are about to exceed or exceed the preset safety range, the early warning module is started to remind a manager to communicate with the old people to guide the old people to return to the safety movable range or timely reach the current position of the old people to guide the old people to return to the safety movable range.
The invention has the following beneficial effects:
1) The full-automatic monitoring of the old is realized, and the monitoring blind area is reduced as much as possible;
2) The physiological requirement identification and auxiliary realization functions are introduced, so that the situation that the behavioral data of the old is dangerous or the corresponding psychological requirement cannot be met autonomously can be timely found, the automation degree is high, and the monitoring coverage is wide;
3) By adopting the mode that the corresponding abnormality investigation task is generated by the preset template and is sent to the corresponding manager terminal, the manager needs to complete the filling uploading of the abnormality investigation report by the preset template and can complete the corresponding abnormality investigation task, the accurate transmission, the quick feedback and the whole-course traceability of each requirement of the old are realized, and the experience of the clients is greatly improved.
Drawings
Fig. 1 is a diagram of the current endowment pattern investigation result.
Fig. 2 is a system block diagram of a community intelligent endowment service system according to an embodiment of the present invention.
Detailed Description
The present invention will be described in further detail with reference to examples in order to make the objects and advantages of the present invention more apparent. It should be understood that the specific embodiments described herein are for purposes of illustration only and are not intended to limit the scope of the invention.
As shown in fig. 1, an embodiment of the present invention provides a community intelligent endowment service system, including: the behavior acquisition module is used for acquiring the behavior data of the old through a camera combined gesture acquisition belt; the vital sign acquisition module is used for acquiring vital sign data of the old and feeding back the vital sign data to the vital sign analysis module in real time; the behavior analysis module is used for analyzing the behavior data of the old so as to acquire abnormal behaviors and psychological demands of the old; the vital sign analysis module is used for analyzing vital sign data so as to acquire abnormal vital signs; based on the implementation of a wireless deep neural network, the wireless deep neural network model is trained based on historical vital sign data and corresponding safety indexes thereof, input items are vital sign data, and output items are safety indexes; the abnormal real-time feedback module is used for generating a corresponding abnormal investigation task to a corresponding manager terminal by a preset template, and a manager can complete the corresponding abnormal investigation task by completing filling and uploading of an abnormal investigation report by a preset template.
In this embodiment, the gesture collection area includes the waistband of taking three-dimensional gesture sensor and takes temperature sensor, pulse sensor, three-dimensional gesture sensor's wrist strap, and wherein the wrist strap disposes two, wears respectively on the left and right hands, and every waistband and wrist strap all dispose the RFID chip, and the user inputs user's basic information, and the waistband still disposes GPS positioning chip simultaneously for the position that the user is present in real time feedback.
In this embodiment, the camera is arranged based on a visual monitoring area selected by the elderly, that is, the camera is only arranged in the visual monitoring area selected by the elderly, and the angular rotation movement SO3 matrix information of the bone pair corresponding to the depth information of the image fed back by the camera is used as the behavioral data of the elderly in the visual monitoring area; and acquiring three-dimensional posture information of the old with feedback in the invisible monitoring area by using the posture as the behavior data of the old. The method comprises the steps of obtaining bone information through a kinect depth sensor, eliminating shake and noise interference of the obtained bone information by a lock, and calculating and obtaining angular rotation movement SO3 matrix information of all bone pairs;
in this embodiment, the behavior analysis module implements identification and classification of behavior data of the elderly based on the Bi-lstm+attention model, obtains psychological needs corresponding to each behavior data, and determines that abnormal behavior is identified when the identified behavior data of the elderly is dangerous or the corresponding psychological needs cannot be satisfied autonomously. The Bi-LSTM+attention model is obtained based on psychological demands/risk indexes corresponding to historical old people behavior data, input items are the old people behavior data, output items are the risk indexes/psychological demands, and then whether the corresponding psychological demands can be met independently is judged based on life self-care capacity data and current life environment condition data of each old people;
in this embodiment, the vital sign data includes body temperature data and pulse data, and each of the body temperature data and the pulse data carries corresponding user identity information based on the acquired wristband.
In this embodiment, different abnormal behaviors correspond to different abnormal investigation task generating templates, contents filled in an abnormal investigation report are evaluated based on whether a problem corresponding to the abnormal behavior can be solved or not, the corresponding abnormal investigation task can be completed if the problem can be solved, if the abnormal behavior is not solved after the abnormal investigation report is uploaded, a supervision module is started, and a supervision staff is informed to assist in carrying out the abnormal investigation task based on a GSM communication module.
In this embodiment, the method further includes: the safety range limiting module is used for defining different safety movable ranges according to different old people, then generating a corresponding safety movable map according to the safety movable ranges, and when positioning data fed back by the old people are about to exceed or exceed a preset safety range, the early warning module is started to remind a manager to communicate with the old people to guide the old people to return to the safety movable ranges or timely reach the current position of the old people to guide the old people to return to the safety movable ranges.
The foregoing is merely a preferred embodiment of the present invention and it should be noted that modifications and adaptations to those skilled in the art may be made without departing from the principles of the present invention, which are intended to be comprehended within the scope of the present invention.
Claims (5)
1. A community intelligent pension service system, comprising:
the behavior acquisition module is used for acquiring the behavior data of the old through a camera combined gesture acquisition belt;
the vital sign acquisition module is used for acquiring vital sign data of the old and feeding back the vital sign data to the vital sign analysis module in real time;
the behavior analysis module is used for analyzing the behavior data of the old so as to acquire abnormal behaviors and psychological demands of the old;
the vital sign analysis module is used for analyzing vital sign data so as to acquire abnormal vital signs;
the system comprises an abnormality real-time feedback module, a manager and a management system, wherein the abnormality real-time feedback module is used for generating a corresponding abnormality troubleshooting task to a corresponding manager terminal through a preset template, and the manager can complete the corresponding abnormality troubleshooting task by completing filling and uploading of an abnormality troubleshooting report through the preset template; different abnormal behaviors correspond to different abnormal investigation task generation templates, the contents filled in the abnormal investigation report are evaluated by taking whether the problem corresponding to the abnormal behavior can be solved as a standard, the corresponding abnormal investigation task can be completed if the problem can be solved, if the abnormal behavior is still not solved after the abnormal investigation report is uploaded, a supervision module is started, and supervision staff is informed of carrying out auxiliary progress of the abnormal investigation task;
the safety range limiting module is used for defining different safety movable ranges according to different old people, and when the positioning data fed back by the old people are about to exceed or exceed the preset safety range, the early warning module is started to remind a manager to communicate with the old people to guide the old people to return to the safety movable range or timely reach the current position of the old people to guide the old people to return to the safety movable range.
2. The community intelligent pension service system of claim 1, wherein the gesture collection belt comprises a waistband with a three-dimensional gesture sensor and a wristband with a temperature sensor, a pulse sensor, a three-dimensional gesture sensor.
3. The community intelligent endowment service system according to claim 1, wherein the cameras are arranged based on visual monitoring areas selected by old people, and angle rotation movement SO3 matrix information of skeleton pairs corresponding to depth information of images fed back by the cameras is used as the old people behavior data in the visual monitoring areas; and acquiring three-dimensional posture information of the old with feedback in the invisible monitoring area by using the posture as the behavior data of the old.
4. The community intelligent pension service system of claim 1, wherein the behavior analysis module is configured to identify and classify behavior data of the elderly based on a Bi-lstm+attention model, obtain psychological needs corresponding to each behavior data, and determine that abnormal behavior is identified when the identified behavior data of the elderly is dangerous or the corresponding psychological needs cannot be satisfied autonomously.
5. The community intelligent endowment service system of claim 1, wherein the vital sign data includes body temperature data and pulse data.
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| CN115439284B (en) * | 2022-09-05 | 2023-04-18 | 江苏护理职业学院 | Aging service institution configuration upgrading decision method and system |
| CN115662631B (en) * | 2022-10-26 | 2023-11-17 | 上海柚纯数字科技有限公司 | Nursing home management system based on AI intelligent discrimination |
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