CN113961897A - User identity identification method, sample detection device and system and server - Google Patents
User identity identification method, sample detection device and system and server Download PDFInfo
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Abstract
The invention discloses a user identity identification method, a sample detection device, a sample detection system and a server, and relates to the technical field of detection. The user identity identification method is applied to the sample detection device; the method comprises the following steps: detecting the collected sample of the current user to obtain a sample detection result; and sending the sample detection result to a server, so that the server can determine the identity information of the current user according to the historical sample detection result and the sample detection result. According to the invention, the automatic identification of the user identity is realized, the binding relationship between the sample and the identity information does not need to be manually set by the user, the method is more convenient, and the method is suitable for users of all ages.
Description
Technical Field
The invention relates to the technical field of detection, in particular to a user identity identification method, a sample detection device, a sample detection system and a server.
Background
As the life of humans has increased, the importance of health care and maintenance has received increased attention. There are currently in-home detection devices for users to perform personal physical item detection at home, such as urine, saliva, etc.
However, in the prior art, in order to monitor the health condition of the user for a long time to form a report, after the user finishes sample collection and detection by using the detection device, the user needs to set the binding relationship between the sample and the identity information by using the mobile phone, the tablet and other electronic devices each time, which is very inconvenient, especially for the middle-aged and elderly people who are not familiar with the use of the electronic devices.
Disclosure of Invention
The invention aims to provide a user identity identification method, a sample detection device, a sample detection system and a server, which realize automatic identification of user identity, do not need a user to manually set the binding relationship between a sample and identity information, are more convenient and are suitable for users of all ages.
In order to solve the above problem, an embodiment of the present invention provides a user identification method, which is applied to a sample detection device; the method comprises the following steps: detecting the collected sample of the current user to obtain a sample detection result; and sending the sample detection result to a server, so that the server can determine the identity information of the current user according to the historical sample detection result and the sample detection result.
The embodiment of the invention also provides a sample detection device which is used for executing the user identity identification method.
The embodiment of the invention also provides a user identity identification method which is applied to the server; the method comprises the following steps: receiving a sample detection result which is sent by a sample detection device and is obtained after the sample of the current user is detected; and determining the identity information of the current user according to the historical sample detection result and the sample detection result.
The embodiment of the invention also provides a server for executing the user identity identification method.
The embodiment of the present invention further provides a sample detection system, including: the sample detection device and the server are in communication connection.
In the embodiment of the invention, after the sample detection device collects the sample of the current user, the collected sample is detected to obtain a sample detection result, the sample detection result is sent to the server, and after the server receives the sample detection result, the sample detection result is respectively compared with a plurality of historical sample detection results, so that the identity information of the current user can be determined; the automatic identification of the user identity is realized, the binding relationship between the sample and the identity information does not need to be manually set by the user, the method is more convenient, and the method is suitable for users of all ages.
In one embodiment, after the sending the sample detection result to the server, the method further includes:
the method comprises the steps of collecting position information of a plurality of user equipment in communication connection with the sample detection device, and sending the position information of each user equipment to the server, so that the server can determine identity information of the current user according to historical sample detection results, the sample detection results and the position information of each user equipment.
In one embodiment, the sample detection apparatus collects the location information of each user device in any one or any combination of the following manners: super bandwidth positioning technology, bluetooth positioning technology and WIFI positioning technology.
In one embodiment, before the determining the identity information of the current user according to the historical sample detection result and the sample detection result, the method further includes: receiving position information of a plurality of user equipment sent by the sample detection device; the determining the identity information of the current user according to the historical sample detection result and the sample detection result comprises: and determining the identity information of the current user according to a historical sample detection result, the sample detection result and the position information of each user device.
In one embodiment, determining the identity information of the current user according to the historical sample detection result, the sample detection result and the location information of each user device includes: obtaining a first reference sequence of a user to which the sample detection result belongs based on a historical sample detection result and the sample detection result; obtaining a second reference ranking of the user to which the sample detection result belongs based on the position information of each user device; determining identity information of the current user based on the first reference ranking and the second reference ranking.
In one embodiment, obtaining a first reference ranking of users to whom the sample test result belongs based on historical sample test results and the sample test results comprises: comparing a plurality of indexes in the sample detection result with corresponding indexes in the historical sample detection result respectively to obtain a comparison result of each historical sample detection result and the sample detection result; and obtaining a first reference sequence of the user to which the sample detection result belongs based on the comparison result of each historical sample detection result and the sample detection result.
In one embodiment, obtaining a second reference ranking of users to which the sample detection result belongs based on the location information of each of the user devices includes: and determining a second reference ranking of the user to which the sample detection result belongs based on changes of the position information of each user device before and after the sample detection result is received.
In one embodiment, the sample detection device is a urine detector.
Drawings
Fig. 1 is a detailed flowchart of an identification method according to a first embodiment of the present invention;
fig. 2 is a detailed flowchart of an identification method according to a second embodiment of the present invention;
fig. 3 is a detailed flowchart of an identification method according to a third embodiment of the present invention;
fig. 4 is a detailed flowchart of an identity recognition method according to a fourth embodiment of the present invention;
fig. 5 is a detailed flowchart of an identification method according to a fifth embodiment of the present invention.
Detailed Description
The preferred embodiments of the present invention will be described in detail below with reference to the accompanying drawings so that the objects, features and advantages of the invention can be more clearly understood. It should be understood that the embodiments shown in the drawings are not intended to limit the scope of the present invention, but are merely intended to illustrate the spirit of the technical solution of the present invention.
In the following description, for the purposes of illustrating various disclosed embodiments, certain specific details are set forth in order to provide a thorough understanding of the various disclosed embodiments. One skilled in the relevant art will recognize, however, that the embodiments may be practiced without one or more of the specific details. In other instances, well-known devices, structures and techniques associated with this application may not be shown or described in detail to avoid unnecessarily obscuring the description of the embodiments.
Reference throughout this specification to "one embodiment" or "an embodiment" means that a particular feature, structure, or characteristic described in connection with the embodiment is included in at least one embodiment. Thus, the appearances of the phrases "in one embodiment" or "in an embodiment" in various places throughout this specification are not necessarily all referring to the same embodiment. Furthermore, the particular features, structures, or characteristics may be combined in any suitable manner in one or more embodiments.
In the following description, for the purposes of clearly illustrating the structure and operation of the present invention, directional terms will be used, but terms such as "front", "rear", "left", "right", "outer", "inner", "outer", "inward", "upper", "lower", etc. should be construed as words of convenience and should not be construed as limiting terms.
The first embodiment of the invention relates to a user identity identification method, which is applied to a sample detection device, such as a urine detector, a saliva detector, a blood detector and the like; the sample detection device is in wireless communication connection with the server, and the sample detection device can perform information interaction between the user identity identification method and the server in the embodiment, so that the server can determine the user to which the sample collected by the sample detection device belongs. The sample detection device includes a control device (e.g., a controller), and the control device executes the user identification method in this embodiment.
The specific flow of the user identification method in this embodiment is shown in fig. 1.
Specifically, the sample detection device can collect a sample of a current user, and detect the collected sample to obtain a sample detection result; taking the sample as urine as an example, the detection result of the sample includes but is not limited to: uric acid alkalinity (pH), urinary leukocytes (WBC/LEU), urinary Nitrite (NIT), urinary Protein (PRO), Glucose (GLU), urobilinogen (URO/UBG), ketone bodies (KET), occult Blood (BLU), Bilirubin (BIL), ascorbic acid (VC), salts, creatinine (CrE), and also tumor markers, such as alpha-fetoprotein, carcinoembryonic antigen, albumin, urinary beta 2-microglobulin, and the like, and microbial detection indicators, such as nicotine, ethanol, vitamin C, and the like.
And 102, sending the sample detection result to a server, so that the server can determine the identity information of the current user according to the historical sample detection result and the sample detection result.
Specifically, after obtaining a sample detection result of a sample of a current user, the sample detection device sends the sample detection result to the server, and after receiving the sample detection result, the server compares the sample detection result with a plurality of historical sample detection results respectively to obtain a comparison result of the sample detection result with each historical sample detection result, determines a matching degree of the sample detection result with each historical sample detection result, and a user identity corresponding to each historical sample detection result is known, so that identity recognition can be performed based on the matching degree of the sample detection result of the current user with the historical sample detection result, identity information of the current user is determined, a corresponding relation between the current sample detection result and the identity information is established, and the current sample detection result is attributed to the identity information. Upon reaching a period (weekly, monthly, quarterly, etc.) or receiving a statement-of-health generation request sent by a user to the server on the user device, the server may synthesize all of the user's current sample test results or sample test results within a certain period of time, generate and send a statement-of-health to the user device of the user for viewing by the user.
In this embodiment, after the sample detection device collects a sample of a current user, the sample detection device detects the collected sample to obtain a sample detection result, and sends the sample detection result to the server, and after the server receives the sample detection result, the server compares the sample detection result with a plurality of historical sample detection results respectively, so that identity information of the current user can be determined; the automatic identification of the user identity is realized, the binding relationship between the sample and the identity information does not need to be manually set by the user, the method is more convenient, and the method is suitable for users of all ages.
The second embodiment of the present invention relates to a user identification method, and compared with the first embodiment, the present embodiment has the main improvements that: the acquisition of the position information of the user equipment is increased, so that the server can further determine the identity information of the current user by combining the position of the user equipment.
The specific flow of the user identification method in this embodiment is shown in fig. 2.
Specifically, the sample detection device and a plurality of user devices establish a communication connection relationship, where the user devices are, for example, a mobile phone, a tablet computer, a bracelet, a watch, and the like, and the communication connection between the sample detection device and the user devices is, for example: bluetooth, same local area network, or WIFI; the sample detection device can position each user device based on the connection mode between the sample detection device and the user device, acquire the position information of each user device, and send the identity information of each user device to the server, and the mode of the sample detection device for collecting the position information of each user device is any one or any combination of the following modes: ultra-bandwidth positioning techniques, bluetooth positioning techniques (e.g., signal strength based positioning or bluetooth AOA positioning), and WIFI positioning techniques (e.g., location fingerprinting); it should be noted that, when positioning each user equipment, a corresponding positioning module may be set in the sample detection apparatus based on different positioning modes, which is not described herein again. After the user fixes the sample detection device at a set position (for example, the urine analyzer is fixed in a toilet), the sample detection device is initialized and connected to each user device, and meanwhile, the user identification information corresponding to the identification information of each user device is entered into the sample detection device, that is, the corresponding relationship between the user device and the user identification information is established, so that the sample detection device can acquire the user identification information corresponding to the user device based on the identification information of the user device connected to the sample detection device.
The server receives the sample detection result, and can also include sample detection time, and simultaneously receive the position information of each user equipment sent by the sample detection device, so that the position change of each user equipment before and after the sample detection time can be obtained, and the user equipment corresponding to the sample detection result is obtained based on the position change of each user equipment before and after the sample detection time, and the server is preset with the corresponding relation between each user equipment and the user identity, so that reference identity information corresponding to the current user can be obtained; in this way, the server can perform identity recognition based on the matching degree between the sample detection result of the current user and the historical sample detection result, and determine another piece of reference identity information corresponding to the current user. Therefore, the server can determine the identity information of the current user by combining the two determined reference identity information, and attributing the current sample detection result to the identity information. Upon reaching a period (weekly, monthly, quarterly, etc.) or receiving a statement-of-health generation request sent by a user to the server on the user device, the server may synthesize all of the user's current sample test results or sample test results within a certain period of time, generate and send a statement-of-health to the user device of the user for viewing by the user.
In the embodiment, when the identity information of the current user is determined, the position information of each user equipment is further combined, so that the determined identity information of the current user can be more accurate.
The third embodiment of the invention relates to a user identity identification method, which is applied to a server, wherein the server is in wireless communication connection with a sample detection device, and the sample detection device is, for example, a urine detector, a saliva detector, a blood detector and the like; the server can perform information interaction between the user identification method and the sample detection device in the embodiment, and determine the user to which the sample collected by the sample detection device belongs.
The specific flow of the user identification method in this embodiment is shown in fig. 3.
Specifically, the sample detection device can collect a sample of a current user, and detect the collected sample to obtain a sample detection result; taking the sample as urine as an example, the detection result of the sample includes but is not limited to: uric acid alkalinity (pH), urinary leukocytes (WBC/LEU), urinary Nitrite (NIT), urinary Protein (PRO), Glucose (GLU), urobilinogen (URO/UBG), ketone bodies (KET), occult Blood (BLU), Bilirubin (BIL), ascorbic acid (VC), salts, creatinine (CrE), and also tumor markers, such as alpha-fetoprotein, carcinoembryonic antigen, albumin, urinary beta 2-microglobulin, and the like, and microbial detection indicators, such as nicotine, ethanol, vitamin C, and the like.
And step 302, determining the identity information of the current user according to the historical sample detection result and the sample detection result.
Specifically, after receiving a sample detection result sent by a sample detection result, the server compares the sample detection result with a plurality of historical sample detection results respectively to obtain a comparison result between the sample detection result and each historical sample detection result, determines the matching degree between the sample detection result and each historical sample detection result, and the user identity corresponding to each historical sample detection result is known, so that identity recognition can be performed based on the matching degree between the sample detection result of the current user and the historical sample detection result, the identity information of the current user is determined, the corresponding relation between the current sample detection result and the identity information is established, and the current sample detection result is attributed to the identity information. Upon reaching a period (weekly, monthly, quarterly, etc.) or receiving a statement-of-health generation request sent by a user to the server on the user device, the server may synthesize all of the user's current sample test results or sample test results within a certain period of time, generate and send a statement-of-health to the user device of the user for viewing by the user.
In this embodiment, after the sample detection device collects a sample of a current user, the sample detection device detects the collected sample to obtain a sample detection result, and sends the sample detection result to the server, and after the server receives the sample detection result, the server compares the sample detection result with a plurality of historical sample detection results respectively, so that identity information of the current user can be determined; the automatic identification of the user identity is realized, the binding relationship between the sample and the identity information does not need to be manually set by the user, the method is more convenient, and the method is suitable for users of all ages.
The fourth embodiment of the present invention relates to a user identification method, and compared with the third embodiment, the present embodiment has the main improvements that: the server can further determine identity information of the current user in conjunction with the location of the user device.
The specific flow of the user identification method in this embodiment is shown in fig. 4.
Specifically, the sample detection device and a plurality of user devices establish a communication connection relationship, where the user devices are, for example, a mobile phone, a tablet computer, a bracelet, a watch, and the like, and the communication connection between the sample detection device and the user devices is, for example: bluetooth, same local area network, or WIFI; the sample detection device can position each user equipment based on a connection mode with the user equipment, acquire the position information of each user equipment, and send the identity information of each user equipment to the server, and the mode of the sample detection device for acquiring the position information of each user equipment is any one of the following modes: ultra-bandwidth positioning techniques, bluetooth positioning techniques (e.g., signal strength based positioning or bluetooth AOA positioning), and WIFI positioning techniques (e.g., location fingerprinting); it should be noted that, when positioning each user equipment, a corresponding positioning module may be set in the sample detection apparatus based on different positioning modes, which is not described herein again. After the user fixes the sample detection device at a set position (for example, the urine analyzer is fixed in a toilet), the sample detection device is initialized and connected to each user device, and meanwhile, the user identification information corresponding to the identification information of each user device is entered into the sample detection device, that is, the corresponding relationship between the user device and the user identification information is established, so that the sample detection device can acquire the user identification information corresponding to the user device based on the identification information of the user device connected to the sample detection device.
And step 403, determining the identity information of the current user according to the historical sample detection result, the sample detection result and the position information of each user device.
Specifically, the sample detection result received by the server may further include sample detection time, the server may receive the location information of each user equipment sent by the sample detection device, so as to obtain location changes of each user equipment before and after the sample detection time, and obtain the user equipment corresponding to the sample detection result based on the location changes of each user equipment before and after the sample detection time, and the server is preset with a corresponding relationship between each user equipment and a user identity, so as to obtain a piece of reference identity information corresponding to the current user; in this way, the server can perform identity recognition based on the matching degree between the sample detection result of the current user and the historical sample detection result, and determine another piece of reference identity information corresponding to the current user. Therefore, the server can determine the identity information of the current user by combining the two determined reference identity information, and attributing the current sample detection result to the identity information. Upon reaching a period (weekly, monthly, quarterly, etc.) or receiving a statement-of-health generation request sent by a user to the server on the user device, the server may synthesize all of the user's current sample test results or sample test results within a certain period of time, generate and send a statement-of-health to the user device of the user for viewing by the user.
In the embodiment, when the identity information of the current user is determined, the position information of each user equipment is further combined, so that the determined identity information of the current user can be more accurate.
The fifth embodiment of the present invention relates to a user identification method, and compared with the fourth embodiment, the present embodiment has the main improvements that: a specific implementation mode for determining the identity information of the current user according to the historical sample detection result, the sample detection result and the position information of each user device is provided.
The specific flow of the user identification method in this embodiment is shown in fig. 5.
sub-step 5031, based on the historical sample detection result and the sample detection result, obtains a first reference ranking of the user to which the sample detection result belongs.
Specifically, for the same user, the sample detection device does not generate too large change between the same indexes in two sample detection results obtained by performing sample detection on the samples of the user collected twice adjacently; the indexes of the sample detection results of users in different age groups have larger difference; therefore, different users can be distinguished under the use scene with the family as the unit. The server may compare a plurality of received indexes in the sample detection result of the current user with corresponding indexes in historical sample detection results of existing users, to obtain a comparison result between the historical sample detection result of each user and the sample detection result of the current user, and obtain a first reference ranking of the user to which the sample detection result belongs based on the comparison result between each historical sample detection result and the sample detection result. That is, the server compares each index of the sample detection result of the current user with each index corresponding to each historical sample detection result of each user, so as to obtain the difference degree between the indexes, and obtain the matching degree between the sample detection result and each historical sample detection result based on the difference degree between the indexes, and the user to which each historical sample detection result belongs is known, so that the historical sample detection results can be sorted according to the matching degree, that is, the first reference sorting of the user to which the sample detection result of the current user belongs is formed.
Sub-step 5032, based on the location information of each ue, obtaining a second reference ranking of the ue to which the sample detection result belongs.
Specifically, the server can receive, in real time, the position information of each user device currently connected, which is sent by the sample detection apparatus, and thus the server determines the second reference ranking of the user to which the sample detection result belongs based on the change in the position information of each user device before and after the sample detection result is received. Further, the sample detection result of the current user may include sample detection time, the server may obtain position changes of each user equipment before and after the sample detection time, first, the server obtains a preset time range before and after the sample detection time, and a user equipment in each user equipment, which is at a distance smaller than a preset distance threshold value from the sample detection device, is recorded as a target user equipment, and then obtains a motion trajectory of each target user equipment, and if the motion trajectory of a certain target user equipment shows that the target user equipment is close to the sample detection device before the sample detection time and is far from the sample detection device after the sample detection time, it is indicated that the user of the target user equipment is a user to which the sample detection result belongs, and the probability is higher; in addition, the remaining target user equipment can be sorted based on the distance between the sample detection time point and the sample detection device of each target user equipment, and the server presets the corresponding relation between each user equipment and the user identity, so that the second reference sorting of the user to which the sample detection result belongs can be obtained.
Sub-step 5033, determining the identity information of the current user based on the first reference ranking and the second reference ranking.
Specifically, by combining a first reference ranking of a user to which a sample detection result obtained based on a historical sample detection result belongs and a second reference ranking of the user to which the sample detection result obtained based on the location information of the user device belongs, if the two reference rankings are consistent, the identity information of the user ranked first can be used as the identity information of the current user; if the two reference ranks are not consistent, the identity information of the user with the highest comprehensive rank in the two reference ranks can be used as the identity information of the current user; meanwhile, after the identity information of the current user is determined each time, the determined identity information of the current user is sent to the user equipment corresponding to the identity information or preset main user equipment, so that the user can judge whether the identity identification is accurate.
A sixth embodiment of the present invention relates to a sample detection device, such as a urine detector and a saliva detector, where the sample detection device has a sample detection function, and can detect a collected sample to obtain a sample detection result, and the sample detection device can perform information interaction between the user identification method in the first or second embodiment and a server, so that the server can determine a user to whom the sample collected by the sample detection device belongs.
A seventh embodiment of the present invention relates to a server, the server being in wireless communication with a sample detection device, such as a urine detector or a saliva detector; the server can perform information interaction between the user identification method in any one of the third to fifth embodiments and the sample detection device, and determine a user to whom the sample collected by the sample detection device belongs.
An eighth embodiment of the present invention relates to a sample detection system, which includes the sample detection device in the sixth embodiment and the server in the seventh embodiment, wherein the sample detection device is in communication connection with the server, the sample detection device has a sample detection function, and can detect a collected sample to obtain a sample detection result, and perform information interaction with the server, and the server can determine a user to whom the sample collected by the sample detection device belongs.
While the preferred embodiments of the present invention have been described in detail above, it should be understood that aspects of the embodiments can be modified, if necessary, to employ aspects, features and concepts of the various patents, applications and publications to provide yet further embodiments.
These and other changes can be made to the embodiments in light of the above detailed description. In general, in the claims, the terms used should not be construed to be limited to the specific embodiments disclosed in the specification and the claims, but should be construed to include all possible embodiments along with the full scope of equivalents to which such claims are entitled.
Claims (12)
1. A user identity identification method is characterized by being applied to a sample detection device; the method comprises the following steps:
detecting the collected sample of the current user to obtain a sample detection result;
and sending the sample detection result to a server, so that the server can determine the identity information of the current user according to the historical sample detection result and the sample detection result.
2. The method for identifying a user according to claim 1, further comprising, after the sending the sample detection result to a server:
the method comprises the steps of collecting position information of a plurality of user equipment in communication connection with the sample detection device, and sending the position information of each user equipment to the server, so that the server can determine identity information of the current user according to historical sample detection results, the sample detection results and the position information of each user equipment.
3. The method according to claim 1, wherein the sample detection device collects the location information of each user device in any one or any combination of the following manners:
super bandwidth positioning technology, bluetooth positioning technology and WIFI positioning technology.
4. A user identity identification method is characterized in that the method is applied to a server; the method comprises the following steps:
receiving a sample detection result which is sent by a sample detection device and is obtained after the sample of the current user is detected;
and determining the identity information of the current user according to the historical sample detection result and the sample detection result.
5. The method according to claim 4, further comprising, before determining the identity information of the current user according to the historical sample detection result and the sample detection result:
receiving position information of a plurality of user equipment sent by the sample detection device;
the determining the identity information of the current user according to the historical sample detection result and the sample detection result comprises:
and determining the identity information of the current user according to a historical sample detection result, the sample detection result and the position information of each user device.
6. The method of claim 4, wherein determining the identity information of the current user according to the historical sample detection results, the sample detection results, and the location information of each user device comprises:
obtaining a first reference sequence of a user to which the sample detection result belongs based on a historical sample detection result and the sample detection result;
obtaining a second reference ranking of the user to which the sample detection result belongs based on the position information of each user device;
determining identity information of the current user based on the first reference ranking and the second reference ranking.
7. The method according to claim 6, wherein obtaining a first reference ranking of the user to which the sample test result belongs based on historical sample test results and the sample test results comprises:
comparing a plurality of indexes in the sample detection result with corresponding indexes in the historical sample detection result respectively to obtain a comparison result of each historical sample detection result and the sample detection result;
and obtaining a first reference sequence of the user to which the sample detection result belongs based on the comparison result of each historical sample detection result and the sample detection result.
8. The method of claim 6,
obtaining a second reference ranking of the user to which the sample detection result belongs based on the location information of each of the user devices, including:
and determining a second reference ranking of the user to which the sample detection result belongs based on changes of the position information of each user device before and after the sample detection result is received.
9. A sample testing device for performing the user identification method according to any one of claims 1 to 3.
10. The sample testing device of claim 9, wherein said sample testing device is a urine test meter.
11. A server adapted to perform the method of any one of claims 4 to 8.
12. A sample detection system, comprising: the sample testing device of claim 9, and the server of claim 11, the sample testing device being communicatively coupled to the server.
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| PCT/CN2021/142097 WO2023065530A1 (en) | 2021-10-21 | 2021-12-28 | User identity recognition method, sample testing device and system, and server |
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| US20140002235A1 (en) * | 2012-06-29 | 2014-01-02 | International Business Machines Corporation | Providing an id-verified blood test |
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