CN115240367A - UWB (ultra wide band) intelligent positioning based user management early warning method and system - Google Patents
UWB (ultra wide band) intelligent positioning based user management early warning method and system Download PDFInfo
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Abstract
The invention discloses a user management early warning method and a system based on UWB intelligent positioning, and relates to the field of data processing, wherein the method comprises the following steps: constructing a salon positioning management platform; acquiring sign information and physiological characteristic information of an old user, and setting a UWB positioning device set; acquiring a user body node positioning information set and acquiring user motion posture information according to the user body node positioning information set; acquiring scene information of a user, and acquiring scene application element information; respectively uploading the user motion posture information and the scene application element information to a positioning management platform of a senior citizen department for evaluation to obtain a user safety evaluation coefficient; and when the user safety evaluation coefficient is lower than the preset safety coefficient, sending an early warning instruction, and performing early warning management on the old user by combining the positioning information. The positioning accuracy of the aged user in the nursing home is improved, and the safety assessment and early warning management quality of the aged user in the nursing home are further improved.
Description
Technical Field
The invention relates to the field of data processing, in particular to a user management early warning method and system based on UWB intelligent positioning.
Background
With the increasing of the population of the elderly, the aging problem of the population becomes more and more serious, and the problem of aging care becomes a common concern of the whole society. The salon has become the choice of many elderly as a professional endowment institution. With the continuous increase of elderly users in the nursing home, more and more special elderly users such as mentally disabled elderly and disabled elderly have higher level requirements on the management and service of the nursing home.
In the prior art, the technical problems that the positioning accuracy of the old user in the old home is not high, and the safety assessment and early warning management effects of the old user in the old home are poor are solved.
Disclosure of Invention
The application provides a UWB (ultra wide band) intelligent positioning-based user management early warning method and system, and solves the technical problems that in the prior art, the positioning accuracy of an old user in a nursing home is not high, and therefore the safety assessment and early warning management effects of the old user in the nursing home are poor.
In view of the above problems, the present application provides a UWB intelligent positioning-based user management early warning method and system.
In a first aspect, the present application provides a UWB intelligent positioning based user management early warning method, where the method is applied to a UWB intelligent positioning based user management early warning system, and the method includes: constructing a nursing home positioning management platform; acquiring sign information and physiological characteristic information of an old user, and setting a UWB positioning device set according to the sign information and the physiological characteristic information; acquiring information of the old user based on the UWB positioning device set to obtain a user body node positioning information set, wherein the user body node positioning information set corresponds to each positioning device in the UWB positioning device set; acquiring user motion attitude information according to the user body node positioning information set; acquiring scene information of a user through the UWB positioning device set, and performing element extraction on the scene information of the user to acquire scene application element information; respectively uploading the user motion posture information and the scene application element information to the senior citizen positioning management platform for evaluation to obtain a user safety evaluation coefficient; and when the user safety evaluation coefficient is lower than a preset safety coefficient, sending an early warning instruction, and carrying out early warning management on the old user based on the early warning instruction and the positioning information.
In a second aspect, the present application further provides a UWB intelligent positioning-based user management early warning system, wherein the system includes: constructing a salon positioning management platform; acquiring sign information and physiological characteristic information of an old user, and setting a UWB positioning device set according to the sign information and the physiological characteristic information; performing information acquisition on the old user based on the UWB positioning device set to obtain a user body node positioning information set, wherein the user body node positioning information set corresponds to each positioning device in the UWB positioning device set; acquiring user motion posture information according to the user body node positioning information set;
acquiring scene information of a user through the UWB positioning device set, and performing element extraction on the scene information of the user to acquire scene application element information; respectively uploading the user motion posture information and the scene application element information to the senior citizen positioning management platform for evaluation to obtain a user safety evaluation coefficient; and when the user safety evaluation coefficient is lower than a preset safety coefficient, sending an early warning instruction, and carrying out early warning management on the old user based on the early warning instruction and the positioning information.
One or more technical solutions provided in the present application have at least the following technical effects or advantages:
acquiring sign information and physiological characteristic information of an old user through data acquisition, and setting a UWB positioning device set according to the sign information and the physiological characteristic information; collecting information of old users through a UWB positioning device set, obtaining a user body node positioning information set, and determining user motion attitude information according to the user body node positioning information set; acquiring scene information of a user through the UWB positioning device set, and extracting elements of the scene information to acquire scene application element information; respectively uploading the user motion posture information and the scene application element information to a built salon positioning management platform for evaluation to obtain a user safety evaluation coefficient; and when the user safety evaluation coefficient is lower than a preset safety coefficient, sending an early warning instruction, and performing early warning management on the old user by combining positioning information. The positioning accuracy of the elderly user in the nursing home is improved, the safety assessment effect of the elderly user in the nursing home is further improved, the early warning management quality of the elderly user in the nursing home is improved, and the technical effect of intelligent and scientific early warning management of the elderly user in the nursing home is achieved.
Drawings
Fig. 1 is a schematic flowchart of a UWB intelligent positioning based user management early warning method according to the present application;
fig. 2 is a schematic flow chart illustrating setting of a UWB positioning device set in a UWB intelligent positioning based user management early warning method according to the present application;
fig. 3 is a schematic flowchart illustrating a process of obtaining scene application element information in the UWB intelligent positioning based user management early warning method according to the present application;
fig. 4 is a schematic structural diagram of a user management early warning system based on UWB intelligent positioning according to the present application.
Description of reference numerals: the system comprises a construction module 11, a setting module 12, an information acquisition module 13, a motion attitude determination module 14, an element extraction module 15, an evaluation module 16 and an early warning management module 17.
Detailed Description
The application provides a UWB (ultra wide band) intelligent positioning-based user management early warning method and system, and solves the technical problems that in the prior art, the positioning accuracy of an old user in a nursing home is not high, and therefore the safety assessment and early warning management effects of the old user in the nursing home are poor. The positioning accuracy of the elderly user in the nursing home is improved, the safety assessment effect of the elderly user in the nursing home is further improved, the early warning management quality of the elderly user in the nursing home is improved, and the technical effect of intelligent and scientific early warning management of the elderly user in the nursing home is achieved.
Example one
Referring to fig. 1, the present application provides a UWB intelligent positioning-based user management early warning method, wherein the method is applied to a UWB intelligent positioning-based user management early warning system, and the method specifically includes the following steps:
step S100: constructing a salon positioning management platform;
specifically, the present technologies such as GPS positioning technology and UWB positioning technology are used to construct a positioning management platform for the senior citizen home. And meanwhile, the geracomium positioning management platform is in communication connection with the UWB intelligent positioning-based user management early warning system. The nursing home positioning management platform can be a high-precision positioning management platform, an internet of things positioning management monitoring platform and the like in the prior art. The nursing home positioning management platform has the functions of intelligent positioning, early warning management and the like on old users of the nursing home. The technical effects of determining the positioning management platform of the old home and laying a foundation for the follow-up intelligent management and early warning of the old user of the old home are achieved.
Step S200: acquiring sign information and physiological characteristic information of an old user, and setting a UWB positioning device set according to the sign information and the physiological characteristic information;
further, as shown in fig. 2, step S200 of the present application further includes:
step S210: constructing a human body three-dimensional model of the user according to the sign information;
step S220: marking joint points of the user human body three-dimensional model based on a human body motion standard to obtain user joint point marking information;
step S230: obtaining movable area information of the elderly user according to the physiological characteristic information;
step S240: obtaining a motion node intersection of the user joint point marking information and the movable area information;
step S250: and setting the UWB positioning device set based on the motion node intersection.
Specifically, the information of the old user is acquired through big data, and the physical sign information and the physiological characteristic information of the old user are obtained. Further, modeling is carried out on the old user by adopting modeling software such as Maya and 3Dmax in the prior art based on physical sign information of the old user, and a human body three-dimensional model of the user is obtained. Further, marking the joint points of the three-dimensional human body model of the user according to the human body motion standard to obtain marking information of the joint points of the user; after the user management early warning system based on UWB intelligent positioning analyzes the physiological characteristic information, the movable area information of the old user is determined. And then comparing the marking information of the joint points of the user with the information of the movable area of the old user, determining the intersection of the motion nodes, and setting a UWB positioning device set for the old user according to the intersection.
The old user is any old user in the salon positioning management platform. The physical sign information of the old user comprises body parameter information of the old user, such as height, shoulder width, foot length, foot width, hand length, head width, neck circumference, waist circumference, facial five sense organs distribution condition and the like. The physiological characteristic information of the old user comprises data information of skin color, complexion, muscle atrophy condition, mental condition and the like of the old user. The human body three-dimensional model of the user is a human body three-dimensional model of an old user corresponding to the physical sign information. The three-dimensional human body model of the user visually displays the physical sign information of the old user. The human motion standard comprises corresponding human motion joint point information when the human body normally moves. The human body motion standard can be obtained by the UWB-based intelligent positioning user management early warning system through a data query mode. The marking information of the user joint points comprises human body movement joint point data corresponding to the human body three-dimensional model of the user. The information of the movable area of the elderly user comprises data information of movable body parts, movable body joint points and the like of the elderly user. The motion node intersection includes user joint point information in the user joint point marker information coincident with the old user's moveable region information. The set of UWB positioning devices comprises a plurality of UWB positioning devices. The UWB positioning device can be UWB positioning equipment such as UWB personnel wrist strap, UWB positioning card and the like in the prior art.
The technical effects that through intelligent analysis on physical sign information and physiological characteristic information, a scientific UWB positioning device set is set for old users, so that the positioning accuracy of the old users is improved, and the accuracy of a user body node positioning information set obtained subsequently is improved are achieved.
Step S300: acquiring information of the old user based on the UWB positioning device set to obtain a user body node positioning information set, wherein the user body node positioning information set corresponds to each positioning device in the UWB positioning device set;
step S400: acquiring user motion posture information according to the user body node positioning information set;
specifically, information acquisition is carried out on the old user through the set UWB positioning device set, and a user body node positioning information set is obtained. Furthermore, after the UWB intelligent positioning-based user management early warning system intelligently analyzes the positioning information set of the body nodes of the user, the motion attitude information of the user is determined. And the user body node positioning information set comprises real-time position information corresponding to user joint points of the motion node intersection. And the positioning information set of the user body nodes and each positioning device in the UWB positioning device set have a corresponding relation. The user motion posture information comprises data information such as a motion posture and a motion state of the user. The technical effects of determining credible user motion posture information by utilizing the user body node positioning information set and improving the accuracy of subsequent safety evaluation on the elderly users are achieved.
Step S500: acquiring scene information of a user through the UWB positioning device set, and performing element extraction on the scene information of the user to acquire scene application element information;
further, step S500 of the present application further includes:
step S510: obtaining real scene map information of the senior citizen according to a map database of the senior citizen;
step S520: analyzing scene information of the user based on the real scene map information of the senior citizen to obtain a scene analysis result;
step S530: obtaining scene structure position information according to the scene analysis result;
specifically, the scene information of the user is determined according to the UWB positioning device set. Furthermore, the user management early warning system based on UWB intelligent positioning is used for carrying out live-action display on the old home map database, acquiring the live-action map information of the old home, analyzing the scene information of the user according to the live-action map information of the old home, acquiring a scene analysis result, and determining the scene structure position information according to the scene analysis result.
And the scene information of the user comprises position information corresponding to the UWB positioning device set. The senior citizen's home map database includes map data information of a senior citizen's home. The real scene map information of the senior citizen is the visual display of a map database of the senior citizen and is used for representing the real scene map information of the senior citizen. The scene analysis result comprises data information such as specific positions and coordinates of scene information of the user in the real scene map information of the old home. The scene structure position information includes specific structure composition information of a scene analysis result. The technical effects that the scene information of the user is analyzed by utilizing the real scene map information of the geracomium, the scene structure position information is determined, and the positioning accuracy of the old user is improved are achieved.
Step S540: and extracting elements based on the scene structure position information to obtain the scene application element information.
Further, as shown in fig. 3, step S540 of the present application further includes:
step S541: carrying out distribution identification on the scene structure position information to obtain scene article information and scene article distribution information;
step S542: obtaining dangerous goods grade information based on the risk evaluation of the scene goods information;
step S543: performing position touching probability analysis on the scene article distribution information to obtain an article touching probability coefficient;
step S544: and obtaining the scene application element information based on the dangerous goods grade information and the goods touch probability coefficient.
Specifically, the user management early warning system based on UWB intelligent positioning carries out distribution identification on scene structure position information, and determines scene article information and scene article distribution information. Further, performing risk evaluation on the scene article information to obtain dangerous article grade information; and determining an article touch probability coefficient by performing position touch probability analysis on the scene article distribution information, and then obtaining scene application element information.
The scene article information comprises data information such as article types, article numbers, article size parameters and the like corresponding to the scene structure position information. The scene article distribution information comprises data information such as article position parameters corresponding to the scene article information. The dangerous goods grade information is data information for representing the degree of danger of the scene goods information. For example, the higher the risk of the scene item information, the higher the corresponding dangerous item level information. The item touching probability coefficient is data information used for representing the size of the position touching probability of the old user on the scene item distribution information. Illustratively, when the scene article distribution information indicates that the old user is closer to the article a, the position touching probability of the old user to the article a is higher, and the article a has a higher article touching probability coefficient. The scene application element information comprises dangerous goods grade information and goods touch probability coefficients.
The technical effect that reasonable scene application element information is determined by extracting elements from the scene structure position information, and the accuracy of the subsequently obtained user safety evaluation coefficient is improved is achieved.
Step S600: respectively uploading the user motion posture information and the scene application element information to the senior citizen positioning management platform for evaluation to obtain a user safety evaluation coefficient;
further, step S600 of the present application further includes:
step S610: building an old user safety evaluation model, wherein the old user safety evaluation model comprises a scene safety evaluation model and a motion posture safety evaluation model;
step S620: the senior citizen positioning management platform inputs the user motion posture information and the scene application element information into an elderly user safety evaluation model to obtain a scene safety evaluation coefficient and a motion posture safety evaluation coefficient;
step S630: and taking the average value of the scene safety evaluation coefficient and the motion posture safety evaluation coefficient as the user safety evaluation coefficient.
Specifically, the motion posture information and the scene application element information of the user are uploaded to a nursing home positioning management platform. Further, the information of the motion posture of the user is transmitted to a motion posture safety evaluation model through a positioning management platform of the geracomium, and a motion posture safety evaluation coefficient is obtained; and transmitting the scene application element information to a scene safety evaluation model through a salon positioning management platform to obtain a scene safety evaluation coefficient, and performing mean value calculation on the scene safety evaluation coefficient and the motion posture safety evaluation coefficient to obtain a user safety evaluation coefficient.
The scene safety evaluation model is an intelligent network model, is obtained by training a large amount of data information related to scene application element information, and has the functions of intelligently evaluating the input scene application element information and the like. The motion attitude safety evaluation model is also an intelligent network model, is obtained by training a large amount of data information related to the motion attitude information of the user, and has the functions of analyzing the motion attitude of the intelligent user, evaluating the safety and the like. The safety evaluation model for the old people comprises a scene safety evaluation model and a motion posture safety evaluation model. In addition, the safety assessment model of the old user can be embedded into the positioning management platform of the old home, so that the calculation efficiency of the scene safety assessment coefficient and the motion posture safety assessment coefficient is improved. The scene safety evaluation coefficient is data information with low safety for representing scene application element information. The motion gesture safety evaluation coefficient is data information used for representing the safety degree of the motion gesture information of the user. The user safety evaluation coefficient comprises an average value of a scene safety evaluation coefficient and a motion posture safety evaluation coefficient.
The method achieves the technical effects of accurately and efficiently evaluating the user motion attitude information and the scene application element information through the old user safety evaluation model, obtaining an accurate user safety evaluation coefficient, improving the safety evaluation accuracy of the old user and providing reference information for the follow-up early warning management of the old user.
Further, step S610 of the present application further includes:
step S611: acquiring exercise physiological monitoring data information of the old user, wherein the exercise physiological monitoring data information comprises heart rate, respiratory rate and body temperature;
step S612: performing physiological safety analysis based on the movement physiological monitoring data information and the physiological characteristic information to obtain physiological safety influence parameters;
step S613: and updating and training the safety assessment model of the old user based on the physiological safety influence parameters to obtain an optimized safety assessment model of the old user.
Particularly, physiological safety has an important influence on the safety assessment of the old user, and a plurality of UWB positioning devices in the UWB positioning device set have the functions of accurately positioning the old user, monitoring the heart rate and the body temperature and the like. The motion physiological monitoring can be carried out on the old user through the UWB positioning device set, the motion physiological monitoring data information of the old user can be obtained, the physiological safety analysis can be carried out on the old user through the physiological characteristic information, and the physiological safety influence parameter can be obtained. And further, the physiological safety influence parameters are used as input information, the physiological safety influence parameters are input into the safety evaluation model of the old user, the safety evaluation model of the old user is updated, trained and iteratively optimized, and the safety optimization evaluation model of the old user is determined.
The exercise physiological monitoring data information of the old user comprises heart rate, respiratory rate and body temperature data information of the old user. The physiological safety influence parameter is parameter information for representing the physiological safety of the elderly user. The safety optimization evaluation model of the old user is a network model which is optimized according to physiological safety influence parameters. The safety evaluation model of the old user is optimized through the physiological safety influence parameters, the safety optimization evaluation model of the old user with higher adaptability is obtained, and the safety evaluation accuracy of the old user is improved.
Further, step S620 of the present application further includes:
step S621: acquiring the moving pavement condition information of the old user;
step S622: carrying out complexity evaluation on the condition information of the moving road surface to obtain the complexity of the moving road surface;
step S623: acquiring motion acceleration information according to the motion condition information of the old user;
step S624: and correcting the motion attitude safety evaluation coefficient based on the motion road surface complexity and the motion acceleration information.
Specifically, after obtaining the motion attitude safety evaluation coefficient, the UWB intelligent positioning-based user management early warning system performs data acquisition on the motion road condition corresponding to the motion attitude information of the user, obtains the motion road condition information of the elderly user, and performs complexity evaluation on the motion road condition information to obtain the motion road complexity. Furthermore, the UWB intelligent positioning-based user management early warning system intelligently analyzes the motion condition information of the old user, obtains the motion acceleration information, and corrects the motion attitude safety evaluation coefficient by combining the complexity of the motion pavement.
The moving road surface condition information of the old user comprises parameter information such as roughness, bending condition, flatness, width and gradient of a moving road surface corresponding to the user moving posture information. The moving road surface complexity is a parameter for representing the complexity of the moving road surface condition information. The motion condition information of the old user comprises a user body node positioning information set and user motion posture information. The motion acceleration information is a parameter for representing the speed of change of the motion condition of the elderly user, namely the motion acceleration information is a parameter for representing the positioning information set of the body nodes of the user and the change speed of the motion posture information of the user.
Illustratively, when the motion attitude safety evaluation coefficient is corrected, the higher the complexity of the motion road surface and the larger the motion acceleration information are, the higher the influence degree of the complexity of the motion road surface and the motion acceleration information on the motion attitude safety evaluation coefficient is, the motion attitude safety evaluation coefficient may be corrected by subtracting the complexity of the motion road surface and the motion acceleration information from the motion attitude safety evaluation coefficient according to the complexity of the motion road surface and the motion acceleration information. The technical effects of adaptively correcting the motion attitude safety evaluation coefficient according to the motion road complexity and the motion acceleration information and improving the accuracy of the motion attitude safety evaluation coefficient are achieved.
Step S700: and when the user safety evaluation coefficient is lower than a preset safety coefficient, sending an early warning instruction, and carrying out early warning management on the old user based on the early warning instruction and the positioning information.
Specifically, the obtained user safety assessment coefficient is compared with a preset safety coefficient, and if the user safety assessment coefficient is lower than the preset safety coefficient, the UWB intelligent positioning-based user management early warning system automatically sends out an early warning instruction through an old aged house positioning management platform and performs early warning management on the old user by combining positioning information. The preset safety factor is determined by the user management early warning system based on UWB intelligent positioning according to the self-adaptive setting of the early warning management needs of the old users. For example, when the old user is the elderly with mental retardation, a lower preset safety factor can be set, so that accurate early warning management of the elderly with mental retardation is realized. The early warning instruction is instruction information used for representing that a user safety evaluation coefficient is lower than a preset safety coefficient. The positioning information comprises a user body node positioning information set, scene information of a user and scene application element information.
Illustratively, when early warning management is performed on the old user according to the early warning instruction and the positioning information, the early warning instruction and the positioning information can be sent to an old hospital staff through the old hospital positioning management platform, the old hospital staff searches the old user timely offline according to the positioning information, and after the old user is found, the old user is sent to a medical department of the old hospital for physical examination. The technical effects of carrying out early warning management on the old user according to the early warning instruction and the positioning information and improving the quality of the early warning management of the old user are achieved.
In summary, the UWB intelligent positioning based user management early warning method provided by the present application has the following technical effects:
1. acquiring sign information and physiological characteristic information of an old user through data acquisition, and setting a UWB positioning device set according to the sign information and the physiological characteristic information; collecting information of old users through a UWB positioning device set, obtaining a user body node positioning information set, and determining user motion attitude information according to the user body node positioning information set; acquiring scene information of a user through the UWB positioning device set, and extracting elements of the scene information to acquire scene application element information; respectively uploading the user motion posture information and the scene application element information to a built salon positioning management platform for evaluation to obtain a user safety evaluation coefficient; and when the user safety evaluation coefficient is lower than a preset safety coefficient, sending an early warning instruction, and performing early warning management on the old user by combining positioning information. The positioning accuracy of the elderly user in the nursing home is improved, the safety assessment effect of the elderly user in the nursing home is further improved, the early warning management quality of the elderly user in the nursing home is improved, and the technical effect of intelligent and scientific early warning management of the elderly user in the nursing home is achieved.
2. The user motion attitude information and the scene application element information are accurately and efficiently evaluated through the old user safety evaluation model, an accurate user safety evaluation coefficient is obtained, and the accuracy of safety evaluation of old users is improved.
3. And optimizing the safety evaluation model of the old user through physiological safety influence parameters to obtain the safety optimization evaluation model of the old user with stronger adaptability, thereby improving the accuracy of the safety evaluation of the old user.
Example two
Based on the same inventive concept as the above embodiment, the present invention further provides a UWB intelligent positioning based user management early warning system, please refer to fig. 4, where the system includes:
the building module 11 is used for building a salon positioning management platform;
the setting module 12 is configured to obtain sign information and physiological characteristic information of an elderly user, and set a UWB positioning device set according to the sign information and the physiological characteristic information;
an information acquisition module 13, where the information acquisition module 13 is configured to perform information acquisition on the elderly user based on the UWB positioning device set, and obtain a user body node positioning information set, where the user body node positioning information set corresponds to each positioning device in the UWB positioning device set;
a motion posture determining module 14, wherein the motion posture determining module 14 is configured to obtain user motion posture information according to the user body node positioning information set;
the element extraction module 15 is configured to acquire scene information of a user through the UWB positioning device set, and perform element extraction on the scene information of the user to acquire scene application element information;
the evaluation module 16 is configured to upload the user motion posture information and the scene application element information to the senior citizen positioning management platform for evaluation, so as to obtain a user safety evaluation coefficient;
and the early warning management module 17 is used for sending out an early warning instruction when the user safety assessment coefficient is lower than a preset safety coefficient, and carrying out early warning management on the old user based on the early warning instruction and the positioning information.
Further, the system further comprises:
the three-dimensional model building module is used for building a three-dimensional model of the human body of the user according to the sign information;
the marking module is used for marking joint points of the three-dimensional human body model of the user based on human body motion standards to obtain marking information of the joint points of the user;
a movable region information determining module for obtaining movable region information of the elderly user according to the physiological characteristic information;
a motion node intersection determination module for obtaining a motion node intersection of the user joint point marker information and the movable region information;
a location setup module to set up the set of UWB positioning devices based on the motion node intersection.
Further, the system further comprises:
the device comprises a senior citizen home realistic map obtaining module, a senior citizen home realistic map obtaining module and a senior citizen home realistic map processing module, wherein the senior citizen home realistic map obtaining module is used for obtaining information of a senior citizen home realistic map according to a senior citizen home map database;
the scene analysis module is used for analyzing scene information of the user based on the actual scene map information of the geracomium to obtain a scene analysis result;
the scene structure position determining module is used for obtaining scene structure position information according to the scene analysis result;
and the scene element extraction module is used for extracting elements based on the scene structure position information to obtain the scene application element information.
Further, the system further comprises:
the distribution identification module is used for carrying out distribution identification on the scene structure position information to obtain scene article information and scene article distribution information;
the danger evaluation module is used for obtaining dangerous article grade information based on the danger evaluation of the scene article information;
the object touching probability coefficient determining module is used for carrying out position touching probability analysis on the scene object distribution information to obtain an object touching probability coefficient;
and the scene application element information determining module is used for obtaining the scene application element information based on the dangerous goods grade information and the goods touching probability coefficient.
Further, the system further comprises:
the system comprises a building module, a monitoring module and a control module, wherein the building module is used for building an old user safety evaluation model, and the old user safety evaluation model comprises a scene safety evaluation model and a motion posture safety evaluation model;
the input module is used for inputting the user motion posture information and the scene application element information into an old user safety evaluation model by the salon positioning management platform to obtain a scene safety evaluation coefficient and a motion posture safety evaluation coefficient;
and the user safety evaluation coefficient determination module is used for taking the average value of the scene safety evaluation coefficient and the motion posture safety evaluation coefficient as the user safety evaluation coefficient.
Further, the system further comprises:
the system comprises a motion physiological monitoring data determining module, a data processing module and a data processing module, wherein the motion physiological monitoring data determining module is used for acquiring motion physiological monitoring data information of the old user, and the motion physiological monitoring data information comprises heart rate, respiratory rate and body temperature;
the physiological safety analysis module is used for carrying out physiological safety analysis based on the movement physiological monitoring data information and the physiological characteristic information to obtain a physiological safety influence parameter;
and the updating training module is used for updating and training the safety evaluation model of the old user based on the physiological safety influence parameters to obtain an optimized safety evaluation model of the old user.
Further, the system further comprises:
the moving road condition determining module is used for acquiring the moving road condition information of the old user;
the complexity evaluation module is used for carrying out complexity evaluation on the condition information of the moving road surface to obtain the complexity of the moving road surface;
the motion acceleration determining module is used for obtaining motion acceleration information according to the motion condition information of the old user;
and the correction module is used for correcting the motion attitude safety evaluation coefficient based on the motion road surface complexity and the motion acceleration information.
The application provides a user management early warning method based on UWB intelligent positioning, wherein the method is applied to a user management early warning system based on UWB intelligent positioning, and the method comprises the following steps: acquiring sign information and physiological characteristic information of an old user through data acquisition, and setting a UWB positioning device set according to the sign information and the physiological characteristic information; collecting information of old users through a UWB positioning device set, obtaining a user body node positioning information set, and determining user motion attitude information according to the user body node positioning information set; acquiring scene information of a user through the UWB positioning device set, and extracting elements of the scene information to acquire scene application element information; respectively uploading the user motion attitude information and the scene application element information to a built gerocomium positioning management platform for evaluation, and obtaining a user safety evaluation coefficient; and when the user safety evaluation coefficient is lower than a preset safety coefficient, sending an early warning instruction, and performing early warning management on the old user by combining positioning information. The technical problems that in the prior art, the positioning accuracy of the elderly users in the nursing home is not high, and therefore the safety assessment and early warning management effects of the elderly users in the nursing home are poor are solved. The positioning accuracy of the old user in the old home is improved, the safety assessment effect of the old user in the old home is further improved, the early warning management quality of the old user in the old home is improved, and the intelligent and scientific early warning management technical effect of the old user in the old home is achieved.
The technical features of the above embodiments can be arbitrarily combined, and for the sake of brevity, all possible combinations of the technical features in the above embodiments are not described, but should be considered as the scope of the present specification as long as there is no contradiction between the combinations of the technical features.
The specification and drawings are merely illustrative of the present application, and it is intended that the present invention cover modifications and variations of this invention provided they come within the scope of the invention and their equivalents.
Claims (8)
1. A user management early warning method based on UWB intelligent positioning is characterized in that the method comprises the following steps:
constructing a salon positioning management platform;
acquiring sign information and physiological characteristic information of an old user, and setting a UWB positioning device set according to the sign information and the physiological characteristic information;
acquiring information of the old user based on the UWB positioning device set to obtain a user body node positioning information set, wherein the user body node positioning information set corresponds to each positioning device in the UWB positioning device set;
acquiring user motion posture information according to the user body node positioning information set;
acquiring scene information of a user through the UWB positioning device set, and performing element extraction on the scene information of the user to acquire scene application element information;
respectively uploading the user motion posture information and the scene application element information to the senior citizen positioning management platform for evaluation to obtain a user safety evaluation coefficient;
and when the user safety evaluation coefficient is lower than a preset safety coefficient, sending an early warning instruction, and carrying out early warning management on the old user based on the early warning instruction and the positioning information.
2. The method of claim 1, wherein said setting a set of UWB positioning devices from the sign information and physiological characteristic information comprises:
constructing a human body three-dimensional model of the user according to the sign information;
marking joint points of the user human body three-dimensional model based on a human body motion standard to obtain user joint point marking information;
obtaining movable area information of the elderly user according to the physiological characteristic information;
obtaining a motion node intersection of the user joint point marking information and the movable area information;
and setting the UWB positioning device set based on the motion node intersection.
3. The method as claimed in claim 1, wherein said extracting elements from the scene information of the user to obtain the scene application element information comprises:
obtaining real scene map information of the senior citizen according to a map database of the senior citizen;
analyzing scene information of the user based on the real scene map information of the senior citizen to obtain a scene analysis result;
obtaining scene structure position information according to the scene analysis result;
and extracting elements based on the scene structure position information to obtain the scene application element information.
4. The method of claim 3, wherein the extracting elements based on the scene structure position information to obtain the scene application element information comprises:
carrying out distribution identification on the scene structure position information to obtain scene article information and scene article distribution information;
obtaining dangerous goods grade information based on the risk evaluation of the scene goods information;
performing position touching probability analysis on the scene article distribution information to obtain an article touching probability coefficient;
and obtaining the scene application element information based on the dangerous goods grade information and the goods touching probability coefficient.
5. The method as claimed in claim 1, wherein said uploading said user motion gesture information and said scene application element information to said senior citizens' positioning management platform for evaluation respectively, and obtaining a user safety evaluation coefficient comprises:
building an old user safety evaluation model, wherein the old user safety evaluation model comprises a scene safety evaluation model and a motion posture safety evaluation model;
the senior citizen positioning management platform inputs the user motion posture information and the scene application element information into an elderly user safety evaluation model to obtain a scene safety evaluation coefficient and a motion posture safety evaluation coefficient;
and taking the average value of the scene safety evaluation coefficient and the motion posture safety evaluation coefficient as the user safety evaluation coefficient.
6. The method of claim 5, wherein the method comprises:
acquiring exercise physiological monitoring data information of the old user, wherein the exercise physiological monitoring data information comprises heart rate, respiratory rate and body temperature;
performing physiological safety analysis based on the movement physiological monitoring data information and the physiological characteristic information to obtain physiological safety influence parameters;
and updating and training the safety evaluation model of the old user based on the physiological safety influence parameters to obtain an optimized safety evaluation model of the old user.
7. The method of claim 5, wherein the method comprises:
acquiring the moving pavement condition information of the old user;
carrying out complexity evaluation on the condition information of the moving road surface to obtain the complexity of the moving road surface;
obtaining motion acceleration information according to the motion condition information of the old user;
and correcting the motion attitude safety evaluation coefficient based on the motion road surface complexity and the motion acceleration information.
8. A user management early warning system based on UWB intelligent positioning, characterized in that, the system includes:
the system comprises a construction module, a management module and a management module, wherein the construction module is used for constructing a nursing home positioning management platform;
the system comprises a setting module, a UWB positioning device and a communication module, wherein the setting module is used for acquiring sign information and physiological characteristic information of an old user and setting a UWB positioning device set according to the sign information and the physiological characteristic information;
the information acquisition module is used for acquiring information of the old user based on the UWB positioning device set to obtain a user body node positioning information set, and the user body node positioning information set corresponds to each positioning device in the UWB positioning device set;
the motion posture determining module is used for acquiring user motion posture information according to the user body node positioning information set;
the element extraction module is used for acquiring scene information of a user through the UWB positioning device set, and performing element extraction on the scene information of the user to acquire scene application element information;
the evaluation module is used for uploading the user motion posture information and the scene application element information to the nursing home positioning management platform for evaluation respectively to obtain a user safety evaluation coefficient;
and the early warning management module is used for sending out an early warning instruction when the user safety evaluation coefficient is lower than a preset safety coefficient, and carrying out early warning management on the old user based on the early warning instruction and the positioning information.
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Application publication date: 20221025 |