User management and control method and system for intelligent classification of users

Abstract

The invention provides a user management and control method and system for intelligent classification of users, and the method comprises the steps: obtaining the identity information, bracelet information and injury condition detection information of each wounded person, and constructing the correlation information of each wounded person and each wounded person bracelet; identifying the injury condition grade of each wounded person and the target bracelet identifier of each wounded person; for each wounded person, the current state detection information of each detection type of the wounded person and the historical state detection information of each detection type of the wounded person, the current physical state of the wounded person is recognized, and when the current physical state of the wounded person belongs to an abnormal physical state, abnormal state alarm information of the wounded person is generated; and sending the abnormal state alarm information to a worker client through a wounded person bracelet having associated information with the wounded person. By adopting the scheme, the accuracy, timeliness and efficiency of classified management and control of batches of wounded persons can be improved.

Description

Technical Field

[0001] The present invention relates to the field of smart bracelets and big data technology, and in particular to a user management and control method and system for intelligent classification of users. Background Art

[0002] Mass injuries caused by emergencies have higher requirements on the emergency treatment workflow due to their suddenness, large number of injured people, serious injuries, and lack of family members to accompany them. In addition, due to limited medical human resources, the effect of intelligent management and control of sudden and mass casualties is poor. Therefore, how to quickly and effectively implement triage and intelligent management and control of mass casualties in the first place is the current research focus.

[0003] Traditional triage and intelligent management of batches of injured patients are managed through multiple paper labels (such as medical records, medical cards, wristbands, etc.) and a large number of medical staff. However, this method is time-consuming and easy to lose, especially when multiple injured people suddenly encounter abnormal situations, medical staff cannot find them in time, which will delay the timely treatment of a large number of injured people, resulting in low efficiency in the classification and management of batches of injured people. Summary of the invention

[0004] The main purpose of the present invention is to provide a user management method and system for intelligent user classification, aiming to solve the problem that the prior art is time-consuming on the one hand and easy to lose on the other hand, especially when multiple injured people suddenly encounter abnormal situations, medical staff cannot discover them in time, which will delay the timeliness of the treatment of a large number of injured people, thereby resulting in low efficiency in the classification and management of batches of injured people.

[0005] To achieve the above object, the present invention provides a user management and control method for intelligent user classification, the method comprising:

[0006] Obtain the injured person's identity information, the injured person's wristband information, and the injury detection information of each injured person, and construct association information between each injured person and each injured person's wristband based on the injured person's identity information and the injured person's wristband information;

[0007] Based on the injury detection information of each injured person, the injury level of each injured person is identified through an injury analysis strategy, and based on the injury level of each injured person, the injured person's wristband identifier is adjusted to obtain a target wristband identifier for each injured person;

[0008] For each wounded person, obtaining each current state detection information of the wounded person, and identifying the detection type corresponding to each current state detection information;

[0009] Based on the current state detection information of each detection type and the historical state detection information of each detection type, the current physical state of the injured person is identified, and when the current physical state of the injured person belongs to an abnormal physical state, abnormal state alarm information of the injured person is generated;

[0010] The abnormal state alarm information is sent to the staff client through the injured person's wristband with associated information about the injured person.

[0011] Optionally, the constructing of association information between each injured person and each injured person's wristband based on the injured person's identity information and each injured person's wristband information includes:

[0012] For each wounded person's wristband information, based on the wounded person's wristband information, identifying the wristband model information of the wounded person's wristband corresponding to the wounded person's wristband information;

[0013] For each injured person, based on the injured person's identity information, the basic identity information of the injured person and the identity number information of the injured person are identified, and based on the bracelet model information of the injured person's bracelet worn by each injured person and the identity number information of each injured person, information association information between each injured person and the injured person's bracelet worn by each injured person is constructed;

[0014] Based on the basic identity information of each injured person, a wounded person archive is generated for each injured person, and based on the archive number of each wounded person archive and the wristband model information of the wounded person wristband worn by each injured person, data reading and writing association information between the wounded person wristband worn by each injured person and the wounded person archive of each injured person is constructed;

[0015] The information association information between each wounded person and the wounded wristband worn by each wounded person, as well as the data reading and writing association information between the wounded wristband worn by each wounded person and the wounded archive of each wounded person, is used as the association information between each wounded person and each wounded wristband.

[0016] Optionally, the identifying the injury level of each injured person through an injury analysis strategy based on the injury detection information of each injured person includes:

[0017] For each injured person, the injury detection information of the injured person is split into detection data of each injury detection type, and the sub-injury state recognition strategy corresponding to each injury detection type is identified;

[0018] Based on the detection data of each injury detection type, the sub-injury state of each injury detection type is identified through the sub-injury state identification strategy corresponding to each injury detection type;

[0019] Based on the sub-injury status of each injury detection type, the injury level of the injured person is identified through an injury analysis strategy.

[0020] Optionally, adjusting the injured person's wristband identifier based on the injury level of each injured person to obtain a target wristband identifier for each injured person includes:

[0021] Obtaining identification meaning information of each wristband identification information of the injured person's wristband, and based on each identification meaning information, identifying the injury level corresponding to each identification meaning information;

[0022] Based on the injury level of each injured person, the target bracelet identification of each injured person is identified through the injury level corresponding to the meaning information of each identification.

[0023] Optionally, the identifying the current physical state of the injured person based on the current state detection information of each detection type and the historical state detection information of each detection type includes:

[0024] For each detection type, based on current state detection information of the detection type and historical state detection information of the detection type, in a time distribution order, generate state detection distribution information of the detection type;

[0025] Based on the state detection distribution information of the detection type, identifying the state trend information of the detection type and the state range trend information of the detection type, and based on the state trend information of the detection type and the state range trend information of the detection type, identifying the current sub-body state corresponding to the detection type through the state recognition strategy of the detection type;

[0026] The current sub-physical states corresponding to all detection types are used as the current physical state of the injured person.

[0027] Optionally, when the current physical state of the injured person is an abnormal physical state, generating abnormal state alarm information of the injured person includes:

[0028] For each injured person, based on the current sub-body states corresponding to each detection type of the injured person, identifying the state type of each current sub-body state;

[0029] Based on the current sub-body state of each state type, the abnormality level of each current body state is queried in the state database, and when there is an abnormal sub-body state with an abnormality level greater than the abnormality level threshold, the abnormal state alarm template is filled in based on the abnormal sub-body state to obtain the abnormal state alarm information of the injured person.

[0030] In addition, to achieve the above-mentioned purpose, the present invention also provides a user management and control system for intelligent user classification, the user management and control system for intelligent user classification comprising:

[0031] An acquisition module is used to acquire the identity information of each injured person, the wristband information of each injured person, and the injury detection information of each injured person, and to construct the association information between each injured person and each injured person's wristband based on the identity information of each injured person and the wristband information of each injured person;

[0032] An adjustment module is used to identify the injury level of each injured person based on the injury detection information of each injured person through an injury analysis strategy, and adjust the injured person's wristband identifier based on the injury level of each injured person to obtain a target wristband identifier for each injured person;

[0033] An identification module, used for obtaining each current state detection information of each injured person, and identifying the detection type corresponding to each current state detection information;

[0034] a generating module, configured to identify the current physical state of the injured person based on the current state detection information of each detection type and the historical state detection information of each detection type, and to generate abnormal state alarm information of the injured person when the current physical state of the injured person belongs to an abnormal physical state;

[0035] The sending module is used to send the abnormal state alarm information to the staff client through the injured person's wristband with associated information about the injured person.

[0036] Optionally, the acquisition module is specifically used to:

[0037] For each wounded person's wristband information, based on the wounded person's wristband information, identifying the wristband model information of the wounded person's wristband corresponding to the wounded person's wristband information;

[0038] For each injured person, based on the injured person's identity information, the basic identity information of the injured person and the identity number information of the injured person are identified, and based on the bracelet model information of the injured person's bracelet worn by each injured person and the identity number information of each injured person, information association information between each injured person and the injured person's bracelet worn by each injured person is constructed;

[0039] Based on the basic identity information of each injured person, a wounded person archive is generated for each injured person, and based on the archive number of each wounded person archive and the wristband model information of the wounded person wristband worn by each injured person, data reading and writing association information between the wounded person wristband worn by each injured person and the wounded person archive of each injured person is constructed;

[0040] The information association information between each wounded person and the wounded wristband worn by each wounded person, as well as the data reading and writing association information between the wounded wristband worn by each wounded person and the wounded archive of each wounded person, is used as the association information between each wounded person and each wounded wristband.

[0041] Optionally, the adjustment module is specifically used to:

[0042] For each injured person, the injury detection information of the injured person is split into detection data of each injury detection type, and the sub-injury state recognition strategy corresponding to each injury detection type is identified;

[0043] Based on the detection data of each injury detection type, the sub-injury state of each injury detection type is identified through the sub-injury state identification strategy corresponding to each injury detection type;

[0044] Based on the sub-injury status of each injury detection type, the injury level of the injured person is identified through an injury analysis strategy.

[0045] Optionally, the adjustment module is specifically used to:

[0046] Obtaining identification meaning information of each wristband identification information of the injured person's wristband, and based on each identification meaning information, identifying the injury level corresponding to each identification meaning information;

[0047] Based on the injury level of each injured person, the target bracelet identification of each injured person is identified through the injury level corresponding to the meaning information of each identification.

[0048] Optionally, the generating module is specifically used for:

[0049] For each detection type, based on current state detection information of the detection type and historical state detection information of the detection type, in a time distribution order, generate state detection distribution information of the detection type;

[0050] Based on the state detection distribution information of the detection type, identifying the state trend information of the detection type and the state range trend information of the detection type, and based on the state trend information of the detection type and the state range trend information of the detection type, identifying the current sub-body state corresponding to the detection type through the state recognition strategy of the detection type;

[0051] The current sub-physical states corresponding to all detection types are used as the current physical state of the injured person.

[0052] Optionally, the generating module is specifically used for:

[0053] For each injured person, based on the current sub-body states corresponding to each detection type of the injured person, identifying the state type of each current sub-body state;

[0054] Based on the current sub-body state of each state type, the abnormality level of each current body state is queried in the state database, and when there is an abnormal sub-body state with an abnormality level greater than the abnormality level threshold, the abnormal state alarm template is filled in based on the abnormal sub-body state to obtain the abnormal state alarm information of the injured person.

[0055] In a third aspect, the present application provides a computer device, wherein the computer device comprises a memory and a processor, wherein the memory stores a computer program, and when the processor executes the computer program, the steps of any one of the methods in the first aspect are implemented.

[0056] In a fourth aspect, the present application provides a computer-readable storage medium having a computer program stored thereon, wherein when the computer program is executed by a processor, the steps of any one of the methods in the first aspect are implemented.

[0057] In a fifth aspect, the present application provides a computer program product. The computer program product includes a computer program, and when the computer program is executed by a processor, the steps of any one of the methods in the first aspect are implemented.

[0058] The present invention provides a user management and control method for intelligent user classification, the method comprising: obtaining the identity information of each injured person, the wristband information of each injured person, and the injury detection information of each injured person, and constructing the association information between each injured person and each injured person's wristband based on the identity information of each injured person and the wristband information of each injured person; based on the injury detection information of each injured person, identifying the injury level of each injured person through an injury analysis strategy, and adjusting the injured person's wristband identifier based on the injury level of each injured person to obtain a target wristband identifier of each injured person; for each injured person, obtaining each current state detection information of the injured person, and identifying the detection type corresponding to each current state detection information; based on the current state detection information of each detection type and the historical state detection information of each detection type, identifying the current physical state of the injured person, and generating abnormal state alarm information of the injured person when the current physical state of the injured person belongs to an abnormal physical state; sending the abnormal state alarm information to a staff client through the injured person's wristband with associated information with the injured person. This solution identifies the injury level of each injured person based on the injured person's identity information and injury detection information, and directly adjusts the target bracelet identifier of each injured person's injured bracelet in the injured person's corresponding injured person's bracelet. This allows medical staff to efficiently identify the priority level of each injured person's injury directly through the bracelet, thereby avoiding delays in the timely treatment rate of injured people with high injury levels during periods of high incidence of multiple injured people. Then, this solution uses the current state detection information of the injured person received by the bracelet to identify the physical state of the injured person in real time, thereby automatically detecting the abnormal state of the injured person and making a timely alarm, improving the timeliness and efficiency of abnormal state detection and alarm for the injured person, and avoiding the problem of delay in timeliness of treatment caused by the inability of medical staff to identify in time, or the inability to notify medical staff in time due to the lack of care for the user. Thereby comprehensively improving the accuracy, timeliness and efficiency of classification and control of batches of injured people. BRIEF DESCRIPTION OF THE DRAWINGS

[0059] In order to more clearly illustrate the scheme in the present application, a brief introduction is given below to the drawings required for use in the description of the embodiments of the present application. Obviously, the drawings described below are some embodiments of the present application. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying any creative work.

[0060] Figure 1 is a flow chart of a user management and control method for intelligent user classification provided by an embodiment of the present invention;

[0061] Figure 2 It is a structural diagram of user management and control for intelligent user classification provided by an embodiment of the present invention;

[0062] Figure 3An internal structure diagram of a computer device provided in an embodiment of the present invention. DETAILED DESCRIPTION

[0063] The user management method and system method for intelligent classification of users provided by the embodiments of the present invention are applied to the user management method and system for intelligent classification of users. Unless otherwise defined, all technical and scientific terms used in this document have the same meaning as those generally understood by technicians in the technical field of this application; the terms used in the specification of the application herein are only for the purpose of describing specific embodiments and are not intended to limit this application; the terms "including" and "having" in the specification and claims of this application and the above-mentioned figure descriptions and any variations thereof are intended to cover non-exclusive inclusions. The terms "first", "second", etc. in the specification and claims of this application or the above-mentioned figures are used to distinguish different objects, not to describe a specific order.

[0064] Reference to "embodiments" herein means that a particular feature, structure, or characteristic described in conjunction with the embodiments may be included in at least one embodiment of the present application. The appearance of the phrase in various locations in the specification does not necessarily refer to the same embodiment, nor is it an independent or alternative embodiment that is mutually exclusive with other embodiments. It is explicitly and implicitly understood by those skilled in the art that the embodiments described herein may be combined with other embodiments.

[0065] In order to enable those skilled in the art to better understand the solution of the present application, the technical solution in the embodiments of the present application will be clearly and completely described below in conjunction with the accompanying drawings.

[0066] The user control method for intelligent classification of users provided in the embodiment of the present application can be applied to the application environment of user control for intelligent classification of users. The method is applied to the terminal corresponding to the portable intelligent wearable device such as smart bracelet, smart watch, smart wristband, etc. Among them, the terminal identifies the injury level of each injured person based on the injured person's identity information and injury detection information, so as to directly adjust the target bracelet identification of the injured person's bracelet of each injured person in the injured person's corresponding injured person's bracelet. It allows medical staff to directly and efficiently identify the priority level of the injury of each injured person through the bracelet, so as to avoid delaying the timely treatment rate of the injured with high injury level during the time period of high incidence of multiple injured people. Then, this scheme recognizes the physical state of the injured person in real time through the current state detection information of the injured person received by the bracelet, so as to automatically detect the abnormal state of the injured person and make a timely alarm, thereby improving the timeliness and efficiency of abnormal state detection and alarm of the injured person, and avoiding the problem of delaying the timeliness of treatment caused by the inability of medical staff to identify in time, or the user is unattended and unable to notify the medical staff in time. This will comprehensively improve the accuracy, timeliness and efficiency of the classification and control of batches of casualties.

[0067] In one embodiment, Figure 1 As shown, a user management and control method for intelligent user classification is provided, which is described by taking the method applied to a terminal as an example, and includes the following steps:

[0068] Step S101, obtaining the identity information of each injured person, the wristband information of each injured person, and the injury detection information of each injured person, and based on the identity information of each injured person and the wristband information of each injured person, constructing the association information between each injured person and each injured person's wristband.

[0069] In this embodiment, the terminal responds to the staff's information upload operation to obtain the wounded identity information of each wounded person recorded by the staff. Among them, the wounded identity information includes but is not limited to the basic information such as the name, gender, age, household registration, personal number (such as ID number) of the wounded, and the hospital number information (i.e. identity number information) of the hospital for the wounded. Then obtain the wounded wristband information of the wounded wristband assigned to each wounded. Among them, the wounded wristband information includes the wounded wristband model information. The wounded wristband model information is the unique number of the wristband. The wristband model information of each wounded wristband is the model information unique to the wounded wristband, and each wounded wristband corresponds to a wounded wristband model information. After that, the terminal obtains the injury detection information of each wounded person by the medical staff, and the injury detection information includes the detection data of each detection type. The injury detection type includes the detection type of emergency detection for each injured person, and the injury detection type includes but is not limited to heart rate detection type, trauma detection type (abrasions and degree of abrasions, trauma and degree of trauma, fractures and degree of fractures, etc.), internal injury detection type (organ damage and degree of organ damage, blood vessel rupture and range of blood vessel rupture, organ damage and degree of organ damage), etc. Then, the terminal constructs the association information of each injured person and each injured person's wristband based on the injured person's identity information and the information of each injured person's wristband. Among them, the association information includes but is not limited to the information association information between each injured person and the injured person's wristband worn by each injured person, and the data reading and writing association information between the injured person's wristband worn by each injured person and the injured person's archive of each injured person. The information association information is the injured person and the injured person's wristband with a corresponding relationship. The data reading and writing association information is the data retrieval between the injured person's wristband and the injured person's archive, and the data storage relationship. The specific identification process will be described in detail later.

[0070] Step S102, based on the injury detection information of each injured person, the injury level of each injured person is identified through the injury analysis strategy, and based on the injury level of each injured person, the injured person's injured person wristband identifier is adjusted to obtain the target wristband identifier of each injured person.

[0071] In this embodiment, the terminal identifies the injury level of each injured person through an injury analysis strategy based on the injury detection information of each injured person. Among them, the injury level is the injury level of the injured person identified by the sub-injury status of each injury detection type. Among them, the injury analysis strategy includes the analysis strategy of each sub-injury status, and the injury level of the injured person is identified through the analysis strategy of each sub-injury status. The injury level is, for example, level 1 injury, level 2 injury, level 3 injury, level 4 injury, level 5 injury, level 6 injury, level 7 injury, level 8 injury, level 9 injury, and level 10 injury. Finally, the terminal adjusts the injured person's injured person bracelet identifier based on the injury level of each injured person to obtain the target bracelet identifier of each injured person. Among them, the target bracelet representation can be a color identifier, a symbol identifier, a digital identifier, a letter identifier, a text identifier, etc., each identifier corresponds to an injury level, and the terminal adjusts the injured person bracelet identifier of each injured person's injured person bracelet by identifying the injury level of each injured person. Get the target bracelet identification of each wounded person.

[0072] Step S103: for each wounded person, obtain each current state detection information of the wounded person, and identify the detection type corresponding to each current state detection information.

[0073] In this embodiment, the terminal obtains the current state detection information of the injured person and identifies the detection type corresponding to each current state detection information. Among them, the detection type is a detection type for real-time detection of the user's physiological state. Among them, the detection type includes but is not limited to electrocardiogram detection type, physiological state detection type, breathing detection type, pulse detection type, etc. Among them, each detection type is the data detected by each detection instrument, and then after the data is transmitted to the injured person's injured person archive, the injured person's injured person wristband retrieves the data in the injured person archive in real time, and obtains the detection data of each detection type.

[0074] Step S104, based on the current state detection information of each detection type and the historical state detection information of each detection type, the current physical state of the injured person is identified, and when the current physical state of the injured person is an abnormal physical state, abnormal state alarm information of the injured person is generated.

[0075] In this embodiment, the terminal identifies the current physical state of the injured person based on the current state detection information of each detection type and the historical state detection information of each detection type, and generates abnormal state alarm information of the injured person when the current physical state of the injured person belongs to an abnormal physical state. The current physical state includes, but is not limited to, a normal state, and an abnormal physical state corresponding to each detection type, for example, the physical state of the breathing detection type includes an abnormal state of breathing frequency, an abnormal state of end-tidal carbon dioxide content, an abnormal state of breathing rate, etc. The abnormal state alarm information generated for each injured person includes the abnormal degree corresponding to each abnormal physical state, and after filling in the abnormal state alarm template, the abnormal state alarm information is obtained.

[0076] Step S105, sending abnormal status alarm information to the staff client through the injured person's wristband with associated information with the injured person.

[0077] In this embodiment, the terminal sends abnormal state alarm information to the staff client through the injured wristband with associated information about the injured. The staff client includes multiple warning devices, including warning light devices, warning playback devices, warning screen pop-up devices, etc. The alarm content of the abnormal state alarm information will be popped up on the client of the staff terminal through the warning screen pop-up device.

[0078] Based on the above scheme, the injury level of each injured person is identified based on the injured person's identity information and injury detection information, so as to directly adjust the target bracelet identifier of each injured person's injured person bracelet in the injured person's corresponding injured person bracelet. This allows medical staff to efficiently identify the priority level of each injured person's injury directly through the bracelet, thereby avoiding delays in the timely treatment rate of injured people with high injury levels during periods of high incidence of multiple injured people. Then, this scheme uses the current state detection information of the injured person received by the bracelet to identify the physical state of the injured person in real time, thereby automatically detecting the abnormal state of the injured person and making a timely alarm, thereby improving the timeliness and efficiency of abnormal state detection and alarm for the injured person, and avoiding the problem of delay in timeliness of treatment caused by the inability of medical staff to identify in time, or the inability of users to notify medical staff in time due to lack of care. Thereby comprehensively improving the accuracy, timeliness and efficiency of classification and control of batches of injured people.

[0079] Optionally, based on the injured person's identity information and each injured person's wristband information, association information between each injured person and each injured person's wristband is constructed, including: for each injured person's wristband information, based on the injured person's wristband information, identifying the wristband model information of the injured person's wristband corresponding to the injured person's wristband information; for each injured person, based on the injured person's identity information, identifying the injured person's basic identity information and the injured person's identity number information, and based on the wristband model information of the injured person's wristband worn by each injured person and the identity number information of each injured person, constructing the information between each injured person and the injured person's wristband worn by each injured person. information association information; based on the basic identity information of each wounded person, a wounded person archive of each wounded person is generated, and based on the archive number of each wounded person archive and the wristband model information of the wounded wristband worn by each wounded person, the data reading and writing association information between the wounded wristband worn by each wounded person and the wounded person archive of each wounded person is constructed; the information association information between each wounded person and the wounded wristband worn by each wounded person, and the data reading and writing association information between the wounded wristband worn by each wounded person and the wounded archive of each wounded person are used as the association information between each wounded person and each wounded wristband.

[0080] In this embodiment, the terminal identifies the wristband model information of the injured wristband corresponding to the injured wristband information based on the injured wristband information for each injured person. Then, the terminal identifies the basic identity information of the injured person and the identity number information of the injured person based on the injured person's identity information for each injured person, and constructs the information association information between each injured person and the injured wristband worn by each injured person based on the wristband model information of the injured wristband worn by each injured person and the identity number information of each injured person. Specifically, the terminal creates an association operation between the identity number information of the injured person and the wristband model information in the interface of the injured person management and control platform, and completes the construction of the information association information between each injured person and the injured wristband worn by each injured person. After completing the information association information, each test report, payment information, test information, etc. of the injured person can be transmitted to the injured wristband worn by the injured person, so that the injured person can obtain his own test report, payment information, and test information in a timely manner.

[0081] Afterwards, the terminal generates a wounded archive for each wounded person based on the basic identity information of each wounded person, and constructs data read and write association information between the wounded wristband worn by each wounded person and the wounded archive for each wounded person based on the archive number of each wounded archive and the wristband model information of the wounded wristband worn by each wounded person. The data read and write association information is the association relationship between the wounded wristband and the wounded archive for each wounded person. Each archive number corresponds to a wounded person, and the real-time detection information of each detection instrument for the wounded person is stored in the archive of the wounded person.

[0082] Finally, the terminal uses the information association information between each injured person and the injured person's wristband worn by each injured person, as well as the data reading and writing association information between the injured person's wristband worn by each injured person and the injured person's injury archive as the association information between each injured person and each injured person's wristband.

[0083] Based on the above scheme, by constructing information association information between each injured person and the injured person's wristband, or data reading and writing association information between each injured person's wristband and the injured person's archive, the association information between each injured person and each injured person's wristband is determined, thereby improving the comprehensiveness and accuracy of determining the association information.

[0084] Optionally, based on the injury detection information of each injured person, the injury level of each injured person is identified through an injury analysis strategy, including: for each injured person, splitting the injury detection information of the injured person into detection data of each injury detection type, and identifying the sub-injury status identification strategy corresponding to each injury detection type; based on the detection data of each injury detection type, identifying the sub-injury status of each injury detection type through the sub-injury status identification strategy corresponding to each injury detection type; based on the sub-injury status of each injury detection type, identifying the injury level of the injured person through an injury analysis strategy.

[0085] In this embodiment, the terminal divides the injury detection information of the injured person into detection data of each injury detection type for each injured person, and identifies the sub-injury state identification strategy corresponding to each injury detection type. The sub-injury state identification strategy corresponding to each injury detection type is stored in the injury database, and each sub-injury state identification strategy includes the sub-injury state corresponding to the detection data range of each injury detection type, wherein the detection data includes the injury type of the injured person detected in the injury detection type, and the injury degree of the injury type. The detection data range includes the range of each injury type and the injury degree range of each injury type. The terminal identifies the detection data range to which the detection data of each injury detection type belongs according to the sub-injury state identification strategy corresponding to each injury detection type, thereby determining the sub-injury state corresponding to each injury detection type. That is, the terminal identifies the sub-injury state of each injury detection type based on the detection data of each injury detection type and the sub-injury state identification strategy corresponding to each injury detection type.

[0086] The injury analysis strategy stores the sub-injury status range of each injury detection type corresponding to each injury level. Then, the terminal identifies the injury level of the injured person through the injury analysis strategy based on the sub-injury status of each injury detection type.

[0087] Based on the above scheme, the injury level of the injured person is identified through the sub-injury status of each detection type, thereby improving the accuracy of identifying the injury level of the injured person.

[0088] Optionally, based on the injury level of each injured person, the injured person's wristband identification is adjusted to obtain the target wristband identification of each injured person, including: obtaining the identification meaning information of each wristband identification information of the injured person's wristband, and based on each identification meaning information, identifying the injury level corresponding to each identification meaning information; based on the injury level of each injured person, identifying the target wristband identification of each injured person through the injury level corresponding to each identification meaning information.

[0089] In this embodiment, the terminal obtains the identification meaning information of each wristband identification information of the injured person's wristband, and identifies the injury level corresponding to each identification meaning information based on each identification meaning information. Then, based on the injury level of each injured person, the terminal identifies the target wristband identification of each injured person through the injury level corresponding to each identification meaning information. Among them, the identification meaning information is the level information of the injury level corresponding to the identification. Due to different identifications, the identification meaning information of different identifications may be the same. Among them, different identifications are used to identify batches of injured people entered into the wristbands in different batches, different hospitals, and different time periods. Through the identification meaning information, the target wristband identification of each injured person is determined, which improves the adaptability and accuracy of the determined target wristband identification.

[0090] Based on the above scheme, the target bracelet identification of each injured person is determined through the identification meaning information, thereby improving the adaptability and accuracy of the determined target bracelet identification.

[0091] Optionally, based on the current state detection information of each detection type and the historical state detection information of each detection type, the current physical state of the injured person is identified, including: for each detection type, based on the current state detection information of the detection type and the historical state detection information of the detection type, in time distribution order, generating state detection distribution information of the detection type; based on the state detection distribution information of the detection type, identifying the state trend information of the detection type and the state range trend information of the detection type, and based on the state trend information of the detection type and the state range trend information of the detection type, identifying the current sub-body state corresponding to the detection type through the state identification strategy of the detection type; and taking the current sub-body states corresponding to all detection types as the current physical state of the injured person.

[0092] In this embodiment, for each detection type, the terminal generates state detection distribution information of the detection type based on the current state detection information of the detection type and the historical state detection information of the detection type in a time distribution order. The state monitoring distribution information is a distribution curve with the instrument time as the horizontal axis and the state detection data corresponding to the state detection information as the vertical axis. Then, when the terminal identifies the curve trend information of each distribution curve, it first smoothes the curve and then identifies the curve trend information, so as to avoid the problem of discrete data interfering with the detection accuracy and improve the analysis accuracy of the detection data.

[0093] Then, the terminal identifies the state trend information of the detection type and the state range trend information of the detection type based on the state detection distribution information of the detection type, and identifies the current sub-body state corresponding to the detection type through the state recognition strategy of the detection type based on the state trend information of the detection type and the state range trend information of the detection type. Among them, the identification method of the trend information is to identify the state trend of each distribution curve through the linear least squares method, and the state range trend is the range change curve of the distribution curve obtained after the range of the distribution curve is range fitted, and then the trend corresponding to each range change curve is identified through the first least squares method to obtain the state range trend.

[0094] Finally, the terminal uses the current sub-body states corresponding to all detection types as the current body state of the injured person.

[0095] Based on the above scheme, by performing distribution fitting on the detection data of each detection type of real-time monitoring, the trends of each state and range change are identified, thereby improving the comprehensiveness and accuracy of the identification.

[0096] Optionally, when the current physical state of the injured person is an abnormal physical state, abnormal state alarm information of the injured person is generated, including: for each injured person, based on the current sub-physical state corresponding to each detection type of the injured person, identifying the state type of each current sub-physical state; based on the current sub-physical state of each state type, querying the abnormality degree of each current physical state in the state database, and when there is an abnormal sub-physical state with an abnormality degree greater than an abnormality degree threshold, filling in the abnormal state alarm template based on the abnormal sub-physical state to obtain the abnormal state alarm information of the injured person.

[0097] In this embodiment, the terminal identifies the state type of each current sub-physical state for each injured person based on the current sub-physical state corresponding to each detection type of the injured person. Then, based on the current sub-physical state of each state type, the terminal queries the abnormality level of each current physical state in the state database. Among them, the state type includes an abnormal state type and a normal state type. When the state type is an abnormal state type, the terminal queries the abnormality level of the current physical state again. When the state type is a normal state type, the terminal directly sets the abnormality level of the current physical state to 0. Among them, the terminal stores the abnormality level corresponding to each physical state included in each state type, and then identifies the abnormality level corresponding to each physical state based on the above correspondence.

[0098] The terminal then determines whether there is an abnormality level threshold greater than the abnormality level threshold preset in the terminal, and when there is an abnormal sub-body state with an abnormality level greater than the abnormality level threshold, the terminal fills in the abnormal state alarm template based on the abnormal sub-body state to obtain the abnormal state alarm information of the injured person.

[0099] Based on the above scheme, after querying the status type of each current physical state, the abnormal degree is identified, and then abnormal status alarm information is generated, which improves the recognition accuracy of abnormal status alarm information of the injured.

[0100] It should be understood that, although the various steps in the flowcharts involved in the above-mentioned embodiments are displayed in sequence according to the indication of the arrows, these steps are not necessarily executed in sequence according to the order indicated by the arrows. Unless there is a clear explanation in this article, the execution of these steps does not have a strict order restriction, and these steps can be executed in other orders. Moreover, at least a part of the steps in the flowcharts involved in the above-mentioned embodiments can include multiple steps or multiple stages, and these steps or stages are not necessarily executed at the same time, but can be executed at different times, and the execution order of these steps or stages is not necessarily to be carried out in sequence, but can be executed in turn or alternately with other steps or at least a part of the steps or stages in other steps.

[0101] Based on the same inventive concept, the embodiment of the present application also provides a user control for intelligent user classification for implementing the user control method for intelligent user classification involved above. The implementation scheme for solving the problem provided by the system is similar to the implementation scheme recorded in the above method, so the specific limitations in one or more user control embodiments for intelligent user classification provided below can refer to the limitations of the user control method for intelligent user classification above, and will not be repeated here.

[0102] Further references Figure 2 , as a response to the above Figure 1 The implementation of the method shown, the present application provides an embodiment of a user management system 200 for intelligent user classification, the user management method for intelligent user classification, the system includes an acquisition module 210, an adjustment module 220, an identification module 230, a generation module 240, and a sending module, wherein:

[0103] The acquisition module 210 is used to acquire the identity information of each injured person, the wristband information of each injured person, and the injury detection information of each injured person, and to construct the association information between each injured person and each injured person's wristband based on the identity information of each injured person and the wristband information of each injured person;

[0104] The adjustment module 220 is used to identify the injury level of each injured person based on the injury detection information of each injured person through the injury analysis strategy, and adjust the injured person's wristband identification based on the injury level of each injured person to obtain the target wristband identification of each injured person;

[0105] The identification module 230 is used to obtain, for each injured person, each current state detection information of the injured person, and identify the detection type corresponding to each current state detection information;

[0106] A generating module 240, configured to identify the current physical state of the injured person based on the current state detection information of each detection type and the historical state detection information of each detection type, and to generate abnormal state alarm information of the injured person when the current physical state of the injured person belongs to an abnormal physical state;

[0107] The sending module 250 is used to send the abnormal state alarm information to the staff client through the injured person's wristband that has associated information with the injured person.

[0108] Optionally, the acquisition module 210 is specifically configured to:

[0109] For each wounded person's wristband information, based on the wounded person's wristband information, identifying the wristband model information of the wounded person's wristband corresponding to the wounded person's wristband information;

[0110] For each injured person, based on the injured person's identity information, the basic identity information of the injured person and the identity number information of the injured person are identified, and based on the bracelet model information of the injured person's bracelet worn by each injured person and the identity number information of each injured person, information association information between each injured person and the injured person's bracelet worn by each injured person is constructed;

[0111] Based on the basic identity information of each injured person, a wounded person archive is generated for each injured person, and based on the archive number of each wounded person archive and the wristband model information of the wounded person wristband worn by each injured person, data reading and writing association information between the wounded person wristband worn by each injured person and the wounded person archive of each injured person is constructed;

[0112] The information association information between each wounded person and the wounded wristband worn by each wounded person, as well as the data reading and writing association information between the wounded wristband worn by each wounded person and the wounded archive of each wounded person, is used as the association information between each wounded person and each wounded wristband.

[0113] Optionally, the adjustment module 220 is specifically configured to:

[0114] For each injured person, the injury detection information of the injured person is split into detection data of each injury detection type, and the sub-injury state recognition strategy corresponding to each injury detection type is identified;

[0115] Based on the detection data of each injury detection type, the sub-injury state of each injury detection type is identified through the sub-injury state identification strategy corresponding to each injury detection type;

[0116] Based on the sub-injury status of each injury detection type, the injury level of the injured person is identified through an injury analysis strategy.

[0117] Optionally, the adjustment module 220 is specifically configured to:

[0118] Obtaining identification meaning information of each wristband identification information of the injured person's wristband, and based on each identification meaning information, identifying the injury level corresponding to each identification meaning information;

[0119] Based on the injury level of each injured person, the target bracelet identification of each injured person is identified through the injury level corresponding to the meaning information of each identification.

[0120] Optionally, the generating module 240 is specifically configured to:

[0121] For each detection type, based on current state detection information of the detection type and historical state detection information of the detection type, in a time distribution order, generate state detection distribution information of the detection type;

[0122] Based on the state detection distribution information of the detection type, identifying the state trend information of the detection type and the state range trend information of the detection type, and based on the state trend information of the detection type and the state range trend information of the detection type, identifying the current sub-body state corresponding to the detection type through the state recognition strategy of the detection type;

[0123] The current sub-physical states corresponding to all detection types are used as the current physical state of the injured person.

[0124] Optionally, the generating module 240 is specifically configured to:

[0125] For each injured person, based on the current sub-body states corresponding to each detection type of the injured person, identifying the state type of each current sub-body state;

[0126] Based on the current sub-body state of each state type, the abnormality level of each current body state is queried in the state database, and when there is an abnormal sub-body state with an abnormality level greater than the abnormality level threshold, the abnormal state alarm template is filled in based on the abnormal sub-body state to obtain the abnormal state alarm information of the injured person.

[0127] Each module in the user management and control system for intelligent user classification can be implemented in whole or in part by software, hardware, or a combination thereof. Each module can be embedded in or independent of a processor in a computer device in the form of hardware, or can be stored in a memory in a computer device in the form of software, so that the processor can call and execute operations corresponding to each module.

[0128] In one embodiment, a computer device is provided. The computer device may be a terminal, and its internal structure diagram may be as follows: Figure 3 As shown. The computer device includes a processor, a memory, a communication interface, a display screen and an input system connected through a system bus. Among them, the processor of the computer device is used to provide computing and control capabilities. The memory of the computer device includes a non-volatile storage medium and an internal memory. The non-volatile storage medium stores an operating system and a computer program. The internal memory provides an environment for the operation of the operating system and the computer program in the non-volatile storage medium. The communication interface of the computer device is used to communicate with an external terminal in a wired or wireless manner, and the wireless manner can be implemented through WIFI, a mobile cellular network, NFC (near field communication) or other technologies. When the computer program is executed by the processor, a user management and control method and a system method for intelligent classification of users are implemented. The display screen of the computer device can be a liquid crystal display screen or an electronic ink display screen, and the input system of the computer device can be a touch layer covered on the display screen, or a button, trackball or touchpad set on the housing of the computer device, or an external keyboard, touchpad or mouse.

[0129] Those skilled in the art will understand that Figure 3 The structure shown in the figure is only a block diagram of a part of the structure related to the solution of the present application, and does not constitute a limitation on the computer device to which the solution of the present application is applied. The specific computer device may include more or fewer components than those shown in the figure, or combine certain components, or have a different arrangement of components.

[0130] In one embodiment, a computer device is provided, including a memory and a processor, wherein a computer program is stored in the memory, and when the processor executes the computer program, the steps of any one of the methods in the first aspect are implemented.

[0131] In one embodiment, a computer-readable storage medium is provided, on which a computer program is stored. When the computer program is executed by a processor, the steps of any one of the methods in the first aspect are implemented.

[0132] In one embodiment, a computer program product is provided, comprising a computer program, which, when executed by a processor, implements the steps of any one of the methods in the first aspect.

[0133] It should be noted that the user information (including but not limited to user device information, user personal information, etc.) and data (including but not limited to data used for analysis, stored data, displayed data, etc.) involved in this application are all information and data authorized by the user or fully authorized by all parties.

[0134] Those skilled in the art can understand that all or part of the processes in the above-mentioned embodiment methods can be completed by instructing the relevant hardware through a computer program, and the computer program can be stored in a non-volatile computer-readable storage medium. When the computer program is executed, it can include the processes of the embodiments of the above-mentioned methods. Among them, any reference to the memory, database or other medium used in the embodiments provided in the present application can include at least one of non-volatile and volatile memory. Non-volatile memory can include read-only memory (ROM), magnetic tape, floppy disk, flash memory, optical memory, high-density embedded non-volatile memory, resistive random access memory (ReRAM), magnetoresistive random access memory (MRAM), ferroelectric random access memory (FRAM), phase change memory (PCM), graphene memory, etc. Volatile memory can include random access memory (RAM) or external cache memory, etc. As an illustration and not limitation, RAM can be in various forms, such as static random access memory (SRAM) or dynamic random access memory (DRAM). The database involved in each embodiment provided in this application may include at least one of a relational database and a non-relational database. Non-relational databases may include distributed databases based on blockchains, etc., but are not limited to this. The processor involved in each embodiment provided in this application may be a general-purpose processor, a central processing unit, a graphics processor, a digital signal processor, a programmable logic device, a data processing logic device based on quantum computing, etc., but are not limited to this.

[0135] The technical features of the above embodiments may be combined arbitrarily. To make the description concise, not all possible combinations of the technical features in the above embodiments are described. However, as long as there is no contradiction in the combination of these technical features, they should be considered to be within the scope of this specification.

[0136] The above-described embodiments only express several implementation methods of the present application, and the descriptions thereof are relatively specific and detailed, but they cannot be understood as limiting the scope of the present application. It should be pointed out that, for a person of ordinary skill in the art, several variations and improvements can be made without departing from the concept of the present application, and these all belong to the protection scope of the present application. Therefore, the protection scope of the present application shall be subject to the attached claims.

Claims

1. A user management and control method for intelligent user classification, characterized in that: The method comprises: Obtain the injured person's identity information, the injured person's wristband information, and the injury detection information of each injured person, and construct association information between each injured person and each injured person's wristband based on the injured person's identity information and the injured person's wristband information; Based on the injury detection information of each injured person, the injury level of each injured person is identified through an injury analysis strategy, and based on the injury level of each injured person, the injured person's wristband identifier is adjusted to obtain a target wristband identifier for each injured person; For each wounded person, obtaining each current state detection information of the wounded person, and identifying the detection type corresponding to each current state detection information; Based on the current state detection information of each detection type and the historical state detection information of each detection type, the current physical state of the injured person is identified, and when the current physical state of the injured person belongs to an abnormal physical state, abnormal state alarm information of the injured person is generated; The abnormal state alarm information is sent to the staff client through the injured person's wristband with associated information about the injured person.

2. The method according to claim 1, characterized in that The construction of association information between each injured person and each injured person's wristband based on the injured person's identity information and each injured person's wristband information includes: For each wounded person's wristband information, based on the wounded person's wristband information, identifying the wristband model information of the wounded person's wristband corresponding to the wounded person's wristband information; For each injured person, based on the injured person's identity information, the basic identity information of the injured person and the identity number information of the injured person are identified, and based on the bracelet model information of the injured person's bracelet worn by each injured person and the identity number information of each injured person, information association information between each injured person and the injured person's bracelet worn by each injured person is constructed; Based on the basic identity information of each injured person, a wounded person archive is generated for each injured person, and based on the archive number of each wounded person archive and the wristband model information of the wounded person wristband worn by each injured person, data reading and writing association information between the wounded person wristband worn by each injured person and the wounded person archive of each injured person is constructed; The information association information between each wounded person and the wounded wristband worn by each wounded person, as well as the data reading and writing association information between the wounded wristband worn by each wounded person and the wounded archive of each wounded person, is used as the association information between each wounded person and each wounded wristband.

3. The method according to claim 2, characterized in that The injury level of each injured person is identified through an injury analysis strategy based on the injury detection information of each injured person, including: For each injured person, the injury detection information of the injured person is split into detection data of each injury detection type, and the sub-injury state recognition strategy corresponding to each injury detection type is identified; Based on the detection data of each injury detection type, the sub-injury state of each injury detection type is identified through the sub-injury state identification strategy corresponding to each injury detection type; Based on the sub-injury status of each injury detection type, the injury level of the injured person is identified through an injury analysis strategy.

4. The method according to claim 3, characterized in that The step of adjusting the injured person's wristband identification based on the injury level of each injured person to obtain a target wristband identification of each injured person includes: Obtaining identification meaning information of each wristband identification information of the injured person's wristband, and based on each identification meaning information, identifying the injury level corresponding to each identification meaning information; Based on the injury level of each injured person, the target bracelet identification of each injured person is identified through the injury level corresponding to the meaning information of each identification.

5. The method according to claim 4, characterized in that The identifying the current physical state of the injured person based on the current state detection information of each detection type and the historical state detection information of each detection type includes: For each detection type, based on current state detection information of the detection type and historical state detection information of the detection type, in a time distribution order, generate state detection distribution information of the detection type; Based on the state detection distribution information of the detection type, identifying the state trend information of the detection type and the state range trend information of the detection type, and based on the state trend information of the detection type and the state range trend information of the detection type, identifying the current sub-body state corresponding to the detection type through the state recognition strategy of the detection type; The current sub-physical states corresponding to all detection types are used as the current physical state of the injured person.

6. The method according to claim 5, characterized in that When the current physical state of the injured person is an abnormal physical state, generating abnormal state alarm information of the injured person includes: For each injured person, based on the current sub-body states corresponding to each detection type of the injured person, identifying the state type of each current sub-body state; Based on the current sub-body state of each state type, the abnormality level of each current body state is queried in the state database, and when there is an abnormal sub-body state with an abnormality level greater than the abnormality level threshold, the abnormal state alarm template is filled in based on the abnormal sub-body state to obtain the abnormal state alarm information of the injured person.

7. A user management and control system for intelligent user classification, characterized in that: The system comprises: An acquisition module is used to acquire the identity information of each injured person, the wristband information of each injured person, and the injury detection information of each injured person, and to construct the association information between each injured person and each injured person's wristband based on the identity information of each injured person and the wristband information of each injured person; An adjustment module is used to identify the injury level of each injured person based on the injury detection information of each injured person through an injury analysis strategy, and adjust the injured person's wristband identifier based on the injury level of each injured person to obtain a target wristband identifier for each injured person; An identification module, used for obtaining each current state detection information of each injured person, and identifying the detection type corresponding to each current state detection information; a generating module, configured to identify the current physical state of the injured person based on the current state detection information of each detection type and the historical state detection information of each detection type, and to generate abnormal state alarm information of the injured person when the current physical state of the injured person belongs to an abnormal physical state; The sending module is used to send the abnormal state alarm information to the staff client through the injured person's wristband with associated information about the injured person.

8. A computer device comprising a memory and a processor, wherein the memory stores a computer program, wherein: When the processor executes the computer program, the steps of the method according to any one of claims 1 to 6 are implemented.

9. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the steps of the method according to any one of claims 1 to 6 are implemented.

10. A computer program product, comprising a computer program, characterized in that When the computer program is executed by a processor, the steps of the method according to any one of claims 1 to 6 are implemented.

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