CN115700643B - Endowment service management system based on cloud call management center - Google Patents
Endowment service management system based on cloud call management center Download PDFInfo
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Abstract
The invention discloses a pension service management system based on a cloud call management center, which comprises: the system comprises a senior citizen region dividing module, a living region monitoring equipment setting module, a living region personnel information acquisition module, a living environment analysis module for living old people, a living state analysis module for living old people, an emergency voice prompt module, a storage database and a senior citizen evaluation analysis module. The intelligent camera is used for acquiring the number corresponding to the important living area, and further safety investigation is carried out according to the number corresponding to the important living area, so that unsafe phenomena such as object falling and inclination are effectively reduced, more importantly, living safety of living old people in the living area is guaranteed, and meanwhile potential safety hazards which possibly affect the living old people are avoided. Not only ensures the gold treatment time, but also effectively avoids major accidents, and is beneficial to increasing the living safety of the living old people.
Description
Technical Field
The invention relates to the technical field of pension service management, in particular to a pension service management system based on a cloud call management center.
Background
With the increasing aging of the modern society and the gradual decrease of young population, how to scientifically and reasonably support the aged is a great problem of the modern society, so that in order to improve the life quality of the aged and promote the development of the aged industry, the aged service needs to be managed. Currently, service management is mostly performed according to the nursing home.
In general, the conventional nursing home has a problem of more or less shortage of hands, and when an emergency occurs, the optimal rescue time may be missed due to the shortage of hands or the lack of timely finding of the problem, and furthermore, the conventional nursing home has the following problems:
the traditional nursing home does not monitor the objects in the living area in real time, and the abnormal object names and dangerous object names cannot be obtained, so that the abnormal object names and dangerous object names cannot be safely checked, living safety of living old people in the living area cannot be guaranteed, potential safety hazards which possibly affect the living old people are ignored, and the occurrence rate of safety accidents is further improved.
The traditional nursing home does not monitor the living old people in the living areas in real time, and the possible dangers of the living old people in each living area cannot be analyzed, so that the number of the living area and the number corresponding to the high-risk living area cannot be obtained, the physical state of each living old people cannot be found in time, if the sudden illness of one living old people is in the ground, and the room of the living old people is not provided with other people, the optimal treatment time is delayed, serious medical accidents are difficult to avoid, and living safety of each living old people cannot be guaranteed.
The emergency efficiency of the service that traditional nursing home did not carry out the analysis to each attendant that corresponds in each living area, and then when the emergency appears, often neglected each attendant's emergency efficiency of service, and then can't be targeted train each attendant, can't effectively improve emergency efficiency, leads to the emergent efficiency of service not obvious improvement and promotion.
Disclosure of Invention
In order to overcome the defects in the background technology, the embodiment of the invention provides a pension service management system based on a cloud call management center, which can effectively solve the problems related to the background technology.
The aim of the invention can be achieved by the following technical scheme:
a pension service management system based on a cloud call management center, comprising:
the nursing home area dividing module is used for counting the number of living areas in the nursing home, and numbering the living areas with the numbers of 1,2 according to a preset sequence;
the living area monitoring equipment setting module is used for setting intelligent cameras and environment parameter monitoring equipment at each living area;
the living area personnel information acquisition module is used for acquiring basic information of living old people in each living area;
the living environment analysis module is used for analyzing the matching degree of living environments corresponding to living old people in each living area;
the living state analysis module of the living old is used for analyzing the living state of the living old in each living area so as to obtain key parameters, and comprises an object dangerous state analysis unit and a human dangerous state analysis unit;
the emergency voice prompt module is used for carrying out corresponding voice prompt on service personnel corresponding to the corresponding living areas based on the numbers of the key living areas in the key parameters;
the storage database is used for storing reference placement surface objects corresponding to all objects, storing reference placement areas corresponding to all objects, storing reference inclination angles corresponding to all objects, storing various dangerous body postures, storing dangerous influence factors corresponding to names of all contact parts in all contact surfaces, storing allowable contact areas corresponding to all contact surfaces and storing weight factors corresponding to various important living areas;
the residence evaluation analysis module of the nursing home comprises a service emergency efficiency analysis unit and an overall evaluation analysis unit, and is used for analyzing residence evaluation coefficients corresponding to the nursing home.
Specifically, the environmental parameter monitoring device includes an illumination intensity sensor, a temperature sensor, an air flow rate sensor, and a noise sensor.
Specifically, the basic information includes age, height, weight, and corresponding occupancy preferences including desired room area, desired room illumination intensity, desired room temperature, desired room air flow rate, and tolerance noise.
Specifically, the analysis of the matching degree of the living environment corresponding to the living old in each living area is as follows:
respectively acquiring illumination intensity, temperature, air flow rate and noise in each living area according to an illumination intensity sensor, a temperature sensor, an air flow rate sensor and a noise sensor in environmental parameter monitoring equipment in each living area;
acquiring the room area corresponding to each living area, comprehensively analyzing the living environment matching degree corresponding to the living old in each living area according to the room area, illumination intensity, temperature, air flow rate and noise in each living area, wherein the specific calculation formula is as follows
η i The corresponding living environment matching degree, mj, expressed as the living old man in the ith living area i Expressed as the room area corresponding to the ith living area, gz i Expressed as the intensity of illumination, wd, in the ith living area i Expressed as the temperature in the ith living area, ls i Expressed as the air flow rate, zy, in the ith living area i Expressed as noise in the ith living area, mj' i 、gz′ i 、wd′ i 、ls′ i 、zy′ i The expected room area, expected room illumination intensity, expected room temperature, expected room air flow rate, and tolerance noise corresponding to the resident old in the ith living area are respectively expressed, and b1, b2, b3, b4, and b5 are correction coefficients corresponding to room area, illumination intensity, temperature, air flow rate, and noise.
Specifically, the key parameters comprise key living areas and corresponding numbers, abnormal object names and dangerous object names, wherein the key living areas comprise abnormal living areas, dangerous living areas, concerned living areas and high-risk living areas.
Specifically, the dangerous state analysis unit is used for analyzing dangerous placement states of objects in each living area, and the specific analysis steps are as follows:
counting the objects existing in each living area through the intelligent camera, identifying the names of the objects, and collecting the images of the placement states of the objects in each living area at the same time, thereby forming an object placement state image set in each living area;
extracting a placement surface object corresponding to each object from an object placement state image set in each living area, comparing the placement surface object with a reference placement surface object corresponding to each object stored in a storage database, if the placement surface object corresponding to each object in a living area is inconsistent with the reference placement surface object corresponding to each object, marking the living area as an abnormal living area, marking the object as an abnormal object, extracting a number corresponding to the abnormal living area and an abnormal object name corresponding to the abnormal living area, and sending the number to an emergency voice prompt module;
if the object of the placement surface corresponding to an object in a living area is consistent with the object of the reference contact surface corresponding to the object, extracting the area of the placement surface corresponding to the object from the object placement state image set in the living area, recording the angle formed by the gravity center line of the object and the placement surface as an inclination angle, and acquiring the inclination angle corresponding to the object in the living area;
based on the area and the inclination angle of the corresponding placement surface of the object in the living area, the dangerous placement coefficient corresponding to the object in the living area is calculated, and the specific calculation formula is as follows
Epsilon is expressed as a dangerous placement coefficient corresponding to the object in the living area, S is expressed as a placement surface area corresponding to the object in the living area, gamma is expressed as an inclination angle corresponding to the object in the living area, S 0 Expressed as a reference placement area, gamma, corresponding to the object in the living area 0 The reference inclination angles corresponding to the objects in the living area are represented, and a1 and a2 are respectively represented as the influence factors corresponding to the placement area and the inclination angle;
and comparing the dangerous placement coefficient corresponding to the object in the living area with a preset dangerous placement threshold, if the dangerous placement coefficient corresponding to the object in the living area is larger than the preset dangerous placement threshold, marking the living area as a dangerous living area, marking the object as a dangerous object, extracting names corresponding to the dangerous living area and the dangerous object, and sending the names to an emergency voice prompt module.
Specifically, the human body dangerous state analysis unit is used for analyzing the body posture of the resident old in each resident area, and the specific analysis steps are as follows:
acquiring body posture images of resident old people in each resident region through intelligent cameras arranged in each resident region, matching the body posture images of resident old people in each resident region with various dangerous body postures stored in a storage database, if the body posture images of resident old people in a certain resident region are successfully matched, indicating that the body of resident old people in the resident region is in a dangerous state, further marking the resident region as a resident region of interest, and simultaneously transmitting a number corresponding to the resident region of interest to an emergency voice prompt module;
comparing the contact surface of the resident corresponding to each living area of interest with the allowed contact areas corresponding to the various contact surfaces stored in the storage database to obtain the allowed contact areas corresponding to each living area of interest;
the contact area of the resident is extracted from the body posture images of the resident in each living area of interest and is marked as s g G is expressed as the number of the living area of interest, g=1, 2,..z, s g A contact area indicated as g-th living area of interest corresponding to living elderly people;
based on the number corresponding to the living area of interest, extracting the body posture image of the living old corresponding to each living area of interest from the body posture image of the living old in each living area, and further extracting the contact part name of the living old and the contact surface from the body posture image of the living old corresponding to each living area of interest;
matching the names of the contact parts of the resident and the contact surfaces corresponding to the living areas of interest with the dangerous influence factors corresponding to the names of the contact parts in the contact surfaces stored in the storage database to obtain the dangerous influence factors corresponding to the living areas of interest;
the risk influence factors corresponding to the living areas of interest and the contact areas of the living old are synthesized to obtain the physical state risk coefficients of the old corresponding to the living areas of interest, wherein the specific calculation formula is as follows
ψ g Expressed as the physical state risk coefficient, s 'of the old people corresponding to the g living area of interest' g Indicated as the allowable contact area corresponding to the g-th living area of interest, delta g A risk impact factor for the g-th living area of interest;
comparing the risk coefficient of the physical state of the old people corresponding to each living area of interest with a preset threshold value of the physical state of the old people, if the risk coefficient corresponding to a living area of interest is larger than the preset threshold value of the physical state of the old people, marking the living area of interest as a high-risk living area, and simultaneously transmitting the number corresponding to the high-risk living area to an emergency voice prompt module.
Specifically, the voice prompt is performed on the service personnel corresponding to each living area, which specifically includes:
based on the number of the abnormal living area and the corresponding abnormal object name, carrying out object abnormal voice prompt on service personnel corresponding to the abnormal living area;
carrying out object danger voice prompt on service personnel corresponding to the dangerous living areas based on the dangerous living area numbers and the corresponding dangerous object names thereof;
based on the number corresponding to the living area of interest, carrying out voice prompt on the living old people of interest on the service personnel corresponding to the living area of interest;
and carrying out voice prompt on the high-risk resident old people by service personnel corresponding to the high-risk resident region based on the number corresponding to the high-risk resident region.
Specifically, the service emergency efficiency analysis unit is configured to analyze service emergency efficiency corresponding to service personnel in each living area, where the specific analysis is as follows:
counting the frequency of each living area in the important living area within a set time period, and respectively numbering the frequency as 1,2, & gt, k, & gt, w;
extracting service response time length of service personnel in each living area in each key living area of the living area from the background, and marking the service response time length as t i k；
Matching the important living areas of each living area with the weight factors corresponding to the various important living areas stored in the storage database to obtain the weight factors corresponding to the important living areas of each living area, and marking the weight factors as mu i k；
Let t i k、μ i k. Substitution formula
ξ i Expressed as service emergency efficiency corresponding to service personnel in ith living area, t i k' represents the canonical service response time length of the kth important living area in the ith living area.
Specifically, the overall evaluation analysis unit is used for calculating a residence evaluation coefficient corresponding to the nursing home, and the specific calculation formula is as follows
Zeta is a living evaluation coefficient corresponding to the nursing home, and e1 and e2 are weight values corresponding to living environment matching degree and emergency efficiency respectively.
Compared with the prior art, the embodiment of the invention has at least the following advantages or beneficial effects:
according to the embodiment of the invention, the intelligent camera is used for monitoring the objects in the living area in real time, the abnormal object names and dangerous object names are obtained through comprehensive analysis from multiple aspects, and then the abnormal object names and dangerous object names are safely checked according to the abnormal object names and dangerous object names, so that unsafe phenomena such as falling and tilting of the objects are effectively reduced, living safety of living old people in the living area is ensured, potential safety hazards which possibly affect the living old people are avoided, and living safety of each living old people is increased.
According to the embodiment of the invention, the living old in the living area is monitored in real time through the intelligent camera, and then the possible danger of the living old in each living area is analyzed to obtain the number of the living area concerned and the number corresponding to the high-risk living area, so that the timeliness of finding the physical state of each living old is improved, if the sudden illness of a certain living old is in the ground, the corresponding service personnel are prompted by the emergency voice prompter, the gold treatment time is ensured, the occurrence of major accidents is effectively avoided, and the living safety guarantee of each living old is further enhanced.
According to the embodiment of the invention, the service emergency efficiency corresponding to each service person in each living area is comprehensively analyzed from various aspects, so that the importance of the service emergency efficiency analysis is highlighted, when an emergency occurs, each service person can be trained according to the service emergency efficiency in a targeted manner, the emergency efficiency is improved in a targeted manner, the key management effect is generated, the service quality of each service person is improved, and the safety requirement of each living old is met.
Drawings
The invention will be further described with reference to the accompanying drawings, in which embodiments do not constitute any limitation of the invention, and other drawings can be obtained by one of ordinary skill in the art without inventive effort from the following drawings.
FIG. 1 is a schematic diagram of the system module connection of the present invention.
FIG. 2 is a schematic diagram showing the connection of the resident status analysis module for resident elderly people according to the present invention.
Fig. 3 is a schematic connection diagram of the living evaluation analysis module of the nursing home.
Detailed Description
The following description of the embodiments of the present invention will be made clearly and completely with reference to the accompanying drawings, in which it is apparent that the embodiments described are only some embodiments of the present invention, but not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
Referring to fig. 1, the invention provides a pension service management system based on a cloud call management center, which comprises a pension area dividing module, a living area monitoring device setting module, a living area personnel information acquisition module, a living environment analysis module for living old people, a living state analysis module for living old people, an emergency voice prompt module, a storage database and a pension living evaluation analysis module.
The living area dividing module is connected with the living area monitoring equipment setting module, the living area monitoring equipment setting module is connected with the living area personnel information acquisition module, the living environment analysis module of living old people is respectively connected with the living area monitoring equipment setting module, the living area personnel information acquisition module and the living evaluation analysis module of the living old people, and the living state analysis module of the living old people is respectively connected with the living area monitoring equipment setting module, the emergency voice prompt module, the storage database and the living evaluation analysis module of the living old people.
The area division module of the pension hospital is used for counting the number of living areas in the pension hospital, and numbering the living areas as 1,2 according to a preset sequence.
And the living area monitoring equipment setting module is used for setting intelligent cameras and environment parameter monitoring equipment at each living area.
Specifically, the environmental parameter monitoring device includes an illumination intensity sensor, a temperature sensor, an air flow rate sensor, and a noise sensor.
And the living area personnel information acquisition module is used for acquiring basic information of living old people in each living area.
Specifically, the basic information includes age, height, weight, and corresponding occupancy preferences including desired room area, desired room illumination intensity, desired room temperature, desired room air flow rate, and tolerance noise.
And the living environment analysis module is used for analyzing the living environment matching degree corresponding to the living old in each living area.
Specifically, the analysis of the matching degree of the living environment corresponding to the living old in each living area is as follows:
respectively acquiring illumination intensity, temperature, air flow rate and noise in each living area according to an illumination intensity sensor, a temperature sensor, an air flow rate sensor and a noise sensor in environmental parameter monitoring equipment in each living area;
acquiring the room area corresponding to each living area, comprehensively analyzing the living environment matching degree corresponding to the living old in each living area according to the room area, illumination intensity, temperature, air flow rate and noise in each living area, wherein the specific calculation formula is as follows
ηi is expressed as the corresponding living environment matching degree of the living old in the ith living area, mj i Expressed as the room area corresponding to the ith living area, gz i Expressed as the intensity of illumination, wd, in the ith living area i Expressed as the temperature in the ith living area, ls i Expressed as the air flow rate, zy, in the ith living area i Expressed as noise in the ith living area, mj' i 、gz′ i 、wd′ i 、ls′ i 、zy′ i The expected room area, expected room illumination intensity, expected room temperature, expected room air flow rate, and tolerance noise corresponding to the resident old in the ith living area are respectively expressed, and b1, b2, b3, b4, and b5 are correction coefficients corresponding to room area, illumination intensity, temperature, air flow rate, and noise.
It should be noted that, in the embodiment of the present invention, the environment of each living area of the living old people can be adjusted by the smart home in each living area, for example, the smart window curtain can automatically control the living area according to the illumination intensity, and the smart window can automatically control the living area according to the temperature, the air flow rate and the noise, but it should be noted that when the smart window is closed due to too low recognition temperature, the air flow rate and the noise decibel are reduced, and similarly, when the smart window is opened due to too high recognition temperature, the air flow rate and the noise decibel are improved.
Referring to fig. 2, a resident status analysis module for resident status of resident in each resident area is used to analyze the resident status of resident in each resident area, thereby obtaining key parameters, and the resident status analysis module for resident in resident includes an object dangerous status analysis unit and a human dangerous status analysis unit.
Specifically, the key parameters comprise key living areas and corresponding numbers, abnormal object names and dangerous object names, wherein the key living areas comprise abnormal living areas, dangerous living areas, concerned living areas and high-risk living areas.
Specifically, the dangerous state analysis unit is used for analyzing dangerous placement states of objects in each living area, and the specific analysis steps are as follows:
the intelligent cameras are used for counting objects existing in each living area, identifying the names of the objects, and collecting images of the placement states of the objects in each living area, so that an object placement state image set in each living area is formed.
The objects existing in each living area include, but are not limited to: a bed, a table, a tea table, a sofa, a cup, a thermos, a wardrobe, a stool and a chair.
And extracting a placement surface object corresponding to each object from the object placement state image set in each living area, comparing the placement surface object with a reference placement surface object corresponding to each object stored in a storage database, if the placement surface object corresponding to each object in a living area is inconsistent with the reference placement surface object corresponding to each object, marking the living area as an abnormal living area, marking the object as an abnormal object, extracting the number corresponding to the abnormal living area and the corresponding abnormal object name, and sending the number and the abnormal object name to an emergency voice prompt module.
As a further optimization of the method, the number corresponding to the abnormal living area and the corresponding abnormal object name are obtained, so that corresponding service personnel of the abnormal living area can be notified in time, the abnormal objects in the abnormal living area can be adjusted rapidly, and the potential danger to living old people is effectively solved.
And if the object of the placement surface corresponding to the object in the living area is consistent with the reference contact surface corresponding to the object, extracting the area of the placement surface corresponding to the object from the object placement state image set in the living area, recording the angle formed by the gravity center line of the object and the placement surface as an inclination angle, and acquiring the inclination angle corresponding to the object in the living area.
Based on the area and the inclination angle of the corresponding placement surface of the object in the living area, the dangerous placement coefficient corresponding to the object in the living area is calculated, and the specific calculation formula is as follows
Epsilon is expressed as a dangerous placement coefficient corresponding to the object in the living area, S is expressed as a placement surface area corresponding to the object in the living area, gamma is expressed as an inclination angle corresponding to the object in the living area, S 0 Expressed as a reference placement area, gamma, corresponding to the object in the living area 0 The reference inclination angles corresponding to the objects in the living area are expressed, and the a1 and a2 are respectively expressed as the influence factors corresponding to the placement area and the inclination angle.
And comparing the dangerous placement coefficient corresponding to the object in the living area with a preset dangerous placement threshold, if the dangerous placement coefficient corresponding to the object in the living area is larger than the preset dangerous placement threshold, marking the living area as a dangerous living area, marking the object as a dangerous object, extracting names corresponding to the dangerous living area and the dangerous object, and sending the names to an emergency voice prompt module.
According to the embodiment of the invention, the intelligent camera is used for monitoring the objects in the living area in real time, the abnormal object names and dangerous object names are obtained through comprehensive analysis from multiple aspects, and then the abnormal object names and dangerous object names are safely checked according to the abnormal object names and dangerous object names, so that unsafe phenomena such as falling and tilting of the objects are effectively reduced, living safety of living old people in the living area is ensured, potential safety hazards which possibly affect the living old people are avoided, and living safety of each living old people is increased.
Specifically, the human body dangerous state analysis unit is used for analyzing the body posture of the resident old in each resident area, and the specific analysis steps are as follows:
acquiring body posture images of resident old people in each resident region through intelligent cameras arranged in each resident region, matching the body posture images of resident old people in each resident region with various dangerous body postures stored in a storage database, if the body posture images of resident old people in a certain resident region are successfully matched, indicating that the body of resident old people in the resident region is in a dangerous state, further marking the resident region as a resident region of interest, and simultaneously transmitting a number corresponding to the resident region of interest to an emergency voice prompt module.
It should be noted that various dangerous body postures include postures of sitting on the ground, lying on the ground, leaning against a wall, and the like.
As a further optimization of the invention, the purpose of obtaining the corresponding number of the living area of interest is to enable the corresponding service personnel of the living area of interest to be notified in time, so that corresponding measures are quickly taken, the situation severity is avoided, and the potential danger is killed in the cradle in time.
And comparing the contact surface of the resident corresponding to each living area of interest with the allowed contact areas corresponding to the various contact surfaces stored in the storage database to obtain the allowed contact areas corresponding to each living area of interest.
The contact surface of the resident old people includes but is not limited to: walls, floors, tables, chairs, sofas.
The contact area of the resident is extracted from the body posture images of the resident in each living area of interest and is marked as s g G is expressed as the number of the living area of interest, g=1, 2,..z, s g Indicated as the contact area of the g-th living area of interest for the living elderly.
Based on the number corresponding to the living area of interest, the body posture image of the living old corresponding to each living area of interest is extracted from the body posture image of the living old in each living area, and then the contact part name of the living old and the contact surface is extracted from the body posture image of the living old corresponding to each living area of interest.
The contact portion includes a head, a leg, a hip, a hand, a foot, a back, and the like.
And matching the names of the contact parts of the resident and the contact surfaces corresponding to the living areas of interest with the dangerous influence factors corresponding to the names of the contact parts in the contact surfaces stored in the storage database to obtain the dangerous influence factors corresponding to the living areas of interest.
The risk influence factors corresponding to the living areas of interest and the contact areas of the living old are synthesized to obtain the physical state risk coefficients of the old corresponding to the living areas of interest, wherein the specific calculation formula is as follows
ψ g Expressed as the physical state risk coefficient, s 'of the old people corresponding to the g living area of interest' g Indicated as the allowable contact area corresponding to the g-th living area of interest, delta g Denoted as the g-th living area of interest corresponds to a risk impact factor.
Comparing the risk coefficient of the physical state of the old people corresponding to each living area of interest with a preset threshold value of the physical state of the old people, if the risk coefficient corresponding to a living area of interest is larger than the preset threshold value of the physical state of the old people, marking the living area of interest as a high-risk living area, and simultaneously transmitting the number corresponding to the high-risk living area to an emergency voice prompt module.
According to the embodiment of the invention, the living old in the living area is monitored in real time through the intelligent camera, and then the possible danger of the living old in each living area is analyzed to obtain the number of the living area concerned and the number corresponding to the high-risk living area, so that the timeliness of finding the physical state of each living old is improved, if the sudden illness of a certain living old is in the ground, the corresponding service personnel are prompted by the emergency voice prompter, the gold treatment time is ensured, the occurrence of major accidents is effectively avoided, and the living safety guarantee of each living old is further enhanced.
The emergency voice prompt module is used for carrying out corresponding voice prompt on service personnel corresponding to the corresponding living areas based on the numbers of the important living areas in the important parameters.
Specifically, the voice prompt is performed on the service personnel corresponding to each living area, which specifically includes:
and carrying out object abnormal voice prompt on service personnel corresponding to the abnormal living area based on the number of the abnormal living area and the corresponding abnormal object name.
And carrying out object danger voice prompt on service personnel corresponding to the dangerous living areas based on the dangerous living area numbers and the corresponding dangerous object names.
And carrying out voice prompt on the resident in attention on the service personnel corresponding to the resident region based on the number corresponding to the resident region in attention.
And carrying out voice prompt on the high-risk resident old people by service personnel corresponding to the high-risk resident region based on the number corresponding to the high-risk resident region.
The storage database is used for storing the reference placement surface object corresponding to each object, storing the reference placement area corresponding to each object, storing the reference inclination angle corresponding to each object, storing various dangerous body gestures, storing dangerous influence factors corresponding to the names of each contact part in each contact surface, storing the allowed contact area corresponding to each contact surface and storing weight factors corresponding to various important living areas.
Referring to fig. 3, the residence evaluation analysis module of the nursing home includes a service emergency efficiency analysis unit and an overall evaluation analysis unit, and is used for analyzing residence evaluation coefficients corresponding to the nursing home.
Specifically, the service emergency efficiency analysis unit is configured to analyze service emergency efficiency corresponding to service personnel in each living area, where the specific analysis is as follows:
the frequencies of the living areas in the important living areas are counted in a set time period and are respectively numbered as 1, 2.
Extracting service response time length of service personnel in each living area in each key living area of the living area from the background, and marking the service response time length as t i k。
It should be noted that the service response duration is specifically: and subtracting the corresponding voice prompt sounding time when the service personnel in each living area are in the key living area from the time when the service personnel arrive at the key living area, and obtaining the service response time of the service personnel in each living area in the key living area.
Matching the important living areas of each living area with the weight factors corresponding to the various important living areas stored in the storage database to obtain the weight factors corresponding to the important living areas of each living area, and marking the weight factors as mu i k。
Let t i k、μ i k. Substitution formula
ξ i Expressed as service emergency efficiency corresponding to service personnel in ith living area, t i k' represents the canonical service response time length of the kth important living area in the ith living area.
According to the embodiment of the invention, the service emergency efficiency corresponding to each service person in each living area is comprehensively analyzed from various aspects, so that the importance of the service emergency efficiency analysis is highlighted, when an emergency occurs, each service person can be trained according to the service emergency efficiency in a targeted manner, the emergency efficiency is improved in a targeted manner, the key management effect is generated, the service quality of each service person is improved, and the safety requirement of each living old is met.
Specifically, the overall evaluation analysis unit is used for calculating a residence evaluation coefficient corresponding to the nursing home, and the specific calculation formula is as follows
Zeta is a living evaluation coefficient corresponding to the nursing home, and e1 and e2 are weight values corresponding to living environment matching degree and emergency efficiency respectively.
As further optimization of the invention, the living evaluation coefficients corresponding to the nursing homes are integrated with the living environment matching degree and the emergency efficiency, so that the authenticity and the effectiveness of evaluation are ensured, and powerful data support is provided for the living evaluation coefficients corresponding to the nursing homes.
The foregoing is merely illustrative of the structures of this invention and various modifications, additions and substitutions for those skilled in the art can be made to the described embodiments without departing from the scope of the invention or from the scope of the invention as defined in the accompanying claims.
Claims (3)
1. A pension service management system based on a cloud call management center, comprising:
the nursing home area dividing module is used for counting the number of living areas in the nursing home, and numbering the living areas with the numbers of 1,2 according to a preset sequence;
the living area monitoring equipment setting module is used for setting intelligent cameras and environment parameter monitoring equipment at each living area;
the living area personnel information acquisition module is used for acquiring basic information of living old people in each living area;
the living environment analysis module is used for analyzing the matching degree of living environments corresponding to living old people in each living area;
the residential environment matching degree corresponding to the resident old in each residential area is analyzed, and the specific analysis is as follows:
respectively acquiring illumination intensity, temperature, air flow rate and noise in each living area according to an illumination intensity sensor, a temperature sensor, an air flow rate sensor and a noise sensor in environmental parameter monitoring equipment in each living area;
acquiring the room area corresponding to each living area, comprehensively analyzing the living environment matching degree corresponding to the living old in each living area according to the room area, illumination intensity, temperature, air flow rate and noise in each living area, wherein the specific calculation formula is as follows
，
Corresponding living environment matching degree expressed as living old man in ith living area, +.>
Denoted as the room area corresponding to the ith living area,/->
Expressed as the intensity of illumination in the ith living area,/->
Expressed as temperature in the ith living area,/and>
expressed as the air flow rate in the ith living area,/>
Represented as noise in the ith living area,
respectively indicated as the ith living areaThe expected room area, the expected room illumination intensity, the expected room temperature, the expected room air flow rate and the tolerance noise corresponding to the resident old people are expressed as correction coefficients corresponding to the room area, the illumination intensity, the temperature, the air flow rate and the noise, and b1, b2, b3, b4 and b 5;
the living state analysis module of the living old is used for analyzing the living state of the living old in each living area so as to obtain key parameters, and comprises an object dangerous state analysis unit and a human dangerous state analysis unit;
the key parameters comprise key living areas and corresponding numbers, abnormal object names and dangerous object names thereof, wherein the key living areas comprise abnormal living areas, dangerous living areas, concerned living areas and high-risk living areas;
the object dangerous state analysis unit is used for analyzing the dangerous placement state of the object in each living area, and the specific analysis steps are as follows:
counting the objects existing in each living area through the intelligent camera, identifying the names of the objects, and collecting the images of the placement states of the objects in each living area at the same time, thereby forming an object placement state image set in each living area;
extracting a placement surface object corresponding to each object from an object placement state image set in each living area, comparing the placement surface object with a reference placement surface object corresponding to each object stored in a storage database, if the placement surface object corresponding to each object in a living area is inconsistent with the reference placement surface object corresponding to each object, marking the living area as an abnormal living area, marking the object as an abnormal object, extracting a number corresponding to the abnormal living area and an abnormal object name corresponding to the abnormal living area, and sending the number to an emergency voice prompt module;
if the object of the placement surface corresponding to an object in a living area is consistent with the object of the reference contact surface corresponding to the object, extracting the area of the placement surface corresponding to the object from the object placement state image set in the living area, recording the angle formed by the gravity center line of the object and the placement surface as an inclination angle, and acquiring the inclination angle corresponding to the object in the living area;
based on the area and the inclination angle of the corresponding placement surface of the object in the living area, the dangerous placement coefficient corresponding to the object in the living area is calculated, and the specific calculation formula is as follows
，/>
Expressed as dangerous placement coefficients corresponding to the object in the living area, S expressed as placement surface area corresponding to the object in the living area,/o>
Expressed as the corresponding inclination angle of the object in the living area,/->
Expressed as a reference placement area corresponding to the object in the living area,/for the object>
The reference inclination angles corresponding to the objects in the living area are represented, and a1 and a2 are respectively represented as the influence factors corresponding to the placement area and the inclination angle;
comparing the dangerous placement coefficient corresponding to the object in the living area with a preset dangerous placement threshold, if the dangerous placement coefficient corresponding to the object in the living area is larger than the preset dangerous placement threshold, marking the living area as a dangerous living area, marking the object as a dangerous object, extracting names corresponding to the dangerous living area and the dangerous object, and sending the names to an emergency voice prompt module;
the human body dangerous state analysis unit is used for analyzing the body posture of the resident old in each resident area, and the specific analysis steps are as follows:
acquiring body posture images of resident old people in each resident region through intelligent cameras arranged in each resident region, matching the body posture images of resident old people in each resident region with various dangerous body postures stored in a storage database, if the body posture images of resident old people in a certain resident region are successfully matched, indicating that the body of resident old people in the resident region is in a dangerous state, further marking the resident region as a resident region of interest, and simultaneously transmitting a number corresponding to the resident region of interest to an emergency voice prompt module;
comparing the contact surface of the resident corresponding to each living area of interest with the allowed contact areas corresponding to the various contact surfaces stored in the storage database to obtain the allowed contact areas corresponding to each living area of interest;
the contact area of the resident is extracted from the body posture image of the resident in each living area of interest and is recorded as
G is expressed as the number of the living area of interest, g=1, 2,..z,/, -and @>
A contact area indicated as g-th living area of interest corresponding to living elderly people;
based on the number corresponding to the living area of interest, extracting the body posture image of the living old corresponding to each living area of interest from the body posture image of the living old in each living area, and further extracting the contact part name of the living old and the contact surface from the body posture image of the living old corresponding to each living area of interest;
matching the names of the contact parts of the resident and the contact surfaces corresponding to the living areas of interest with the dangerous influence factors corresponding to the names of the contact parts in the contact surfaces stored in the storage database to obtain the dangerous influence factors corresponding to the living areas of interest;
the risk influence factors corresponding to the living areas of interest and the contact areas of the living old are synthesized to obtain the physical state risk coefficients of the old corresponding to the living areas of interest, wherein the specific calculation formula is as follows
，/>
Expressed as the physical state risk coefficient of the elderly corresponding to the g living area of interest, < ->
Indicated as permissible contact area corresponding to the g-th living area of interest,/>
A risk impact factor for the g-th living area of interest;
comparing the risk coefficient of the physical state of the old people corresponding to each living area of interest with a preset threshold value of the physical state of the old people, if the risk coefficient corresponding to a living area of interest is larger than the preset threshold value of the physical state of the old people, marking the living area of interest as a high-risk living area, and simultaneously transmitting the number corresponding to the high-risk living area to an emergency voice prompt module;
the emergency voice prompt module is used for carrying out corresponding voice prompt on service personnel corresponding to the corresponding living areas based on the numbers of the key living areas in the key parameters;
the corresponding voice prompt is carried out on the service personnel corresponding to each living area, which comprises the following specific steps:
based on the number of the abnormal living area and the corresponding abnormal object name, carrying out object abnormal voice prompt on service personnel corresponding to the abnormal living area;
carrying out object danger voice prompt on service personnel corresponding to the dangerous living areas based on the dangerous living area numbers and the corresponding dangerous object names thereof;
based on the number corresponding to the living area of interest, carrying out voice prompt on the living old people of interest on the service personnel corresponding to the living area of interest;
based on the number corresponding to the high-risk living area, carrying out voice prompt on service personnel corresponding to the high-risk living area;
the storage database is used for storing reference placement surface objects corresponding to all objects, storing reference placement areas corresponding to all objects, storing reference inclination angles corresponding to all objects, storing various dangerous body postures, storing dangerous influence factors corresponding to names of all contact parts in all contact surfaces, storing allowable contact areas corresponding to all contact surfaces and storing weight factors corresponding to various important living areas;
the residence evaluation analysis module of the nursing home comprises a service emergency efficiency analysis unit and an overall evaluation analysis unit, and is used for analyzing residence evaluation coefficients corresponding to the nursing home;
the service emergency efficiency analysis unit is used for analyzing service emergency efficiency corresponding to service personnel in each living area, and the specific analysis is as follows:
counting the frequency of each living area in the important living area within a set time period, and respectively numbering the frequency as 1,2, & gt, k, & gt, w;
extracting service response time length of service personnel in each living area in each key living area from the background, and marking the service response time length as the service response time length
；
Matching the important living areas of each living area with the weight factors corresponding to the various important living areas stored in the storage database to obtain the weight factors corresponding to the important living areas of each living area, and marking as
；
Will be
、/>
Substitution formula->
，/>
Expressed as service emergency efficiency corresponding to the service personnel in the ith living area, +.>
The standard service response time length of the kth important living area in the ith living area is expressed;
the integral evaluation analysis unit is used for calculating a residence evaluation coefficient corresponding to the nursing home, and a specific calculation formula is as follows
，/>
And e1 and e2 are respectively expressed as a living environment matching degree and an emergency efficiency corresponding weight value.
2. The pension services management system based on cloud call management center of claim 1, wherein: the environmental parameter monitoring device comprises an illumination intensity sensor, a temperature sensor, an air flow rate sensor and a noise sensor.
3. The pension services management system based on cloud call management center of claim 1, wherein: the basic information includes age, height, weight, and corresponding occupancy preferences including desired room area, desired room illumination intensity, desired room temperature, desired room air flow rate, and tolerance noise.
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| JP2018190009A (en) * | 2017-04-28 | 2018-11-29 | 日本電信電話株式会社 | Evaluation support system and evaluation support method of residence environment |
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| JP2018190009A (en) * | 2017-04-28 | 2018-11-29 | 日本電信電話株式会社 | Evaluation support system and evaluation support method of residence environment |
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