Data analysis method and device for monitoring home elderly

Abstract

The invention relates to the technical field of big data, in particular to a data analysis method and device for monitoring the elderly living at home, and the method comprises the steps: collecting the identity information of the monitored elderly, and obtaining the monitored elderly home information of the monitored elderly; obtaining a matching object set and an analysis early warning object set; deciding one or more concerned matching objects according to the first monitoring request, and deciding one concerned analysis early warning object according to the second monitoring request; obtaining a matching degree associated with a concerned matching object from the monitored home information of the elderly; on the basis of monitoring the attribute tag of the old person, the concerned analysis early warning object and the concerned matching object, obtaining an associated accident record; detecting whether the matching degree accords with the obtained accident record or not to obtain a detection result; and obtaining a matching degree, the obtained accident record and the detection result. The method can effectively monitor the similar condition of the elderly based on multi-dimensional information matching, gives reasonable early warning in advance, and guarantees the safety of the elderly at home to the maximum extent.

Description

Technical Field

[0001] The present application relates to the field of big data technology, and in particular to a data analysis method and device for monitoring elderly people at home. Background Art

[0002] With the continuous deepening of big data applications, a digital-centric era has brought tremendous changes to the operation of family elderly care and people's lives. The development of family elderly care and human data has also generated new social security needs.

[0003] Faced with an increasingly dynamic public security environment and increasingly data-based population behavior patterns, it is necessary to fully grasp regional abnormal dynamics and quickly obtain intelligence information on designated elderly people at home, quickly determine and analyze to obtain effective clues for accurate monitoring. It is necessary to collect, collect, clean, integrate, analyze and mine massive amounts of distributed data, determine the inherent connections behind the data, and effectively respond to family care emergencies. It is necessary to take the initiative and promote emergency response efficiency under an innovative social system. Master the scientific and technological means to combat designated elderly people at home in the information age, reduce the incidence of various types of security incidents at all levels, and technically deter designated elderly people at home to maintain social security and stability, reflecting a new maintenance approach for family care emergencies and maintaining stability. Summary of the invention

[0004] To achieve the above objectives, this application provides the following technical solutions:

[0005] According to a first aspect of the present invention, the present invention claims a data analysis method for monitoring elderly people at home, which is applied to a handheld terminal, and the method comprises:

[0006] Collect identity information of the monitored elderly person to obtain the monitored elderly person's home information, wherein the monitored elderly person's home information includes the monitored elderly person's attribute tag, the identity information identifies the monitored elderly person separately from other monitored elderly persons, and the identity information is associated with the monitored elderly person's attribute tag;

[0007] Obtaining a matching object set and an analysis and warning object set, wherein the matching object set includes a plurality of matching objects, and the analysis and warning object set includes a plurality of analysis and warning objects;

[0008] According to the first monitoring request, one or more matching objects to be concerned are decided, and according to the second monitoring request, one analysis and warning object to be concerned is decided; or according to the first monitoring request, one matching object to be concerned is decided, and according to the second monitoring request, one or more analysis and warning objects to be concerned are decided;

[0009] Obtaining a matching degree associated with a matching object of interest from the monitored elderly person's home information;

[0010] Based on the attribute tags of the monitored elderly, the concerned analysis and warning objects, and the concerned matching objects, the associated accident records are obtained;

[0011] Detecting whether the matching degree is consistent with the obtained accident record, and obtaining a detection result;

[0012] Obtain the matching degree, the obtained accident record and the detection result.

[0013] Furthermore, the identity information is fingerprint or facial information.

[0014] Furthermore, the monitored elderly home information includes age deviation value, gender, chronic disease level, emotional stability level, accident record level, hospitalization record similarity, and home internal environment layout similarity.

[0015] Furthermore, the matching object set includes: age matching objects, gender matching objects, chronic disease matching objects, emotional stability matching objects, home interior environment matching objects, accident record matching objects, and critical disease matching objects.

[0016] Furthermore, based on the attribute tags of the monitored elderly, the concerned analysis and warning objects, and the concerned matching objects, the associated accident records are obtained, including:

[0017] When paying attention to one or more matching objects and an analysis and warning object, the attributes of the monitored elderly are determined based on the attribute labels of the monitored elderly, and based on the attributes of the monitored elderly, the names of the accident records associated with the concerned analysis and warning objects are determined, and one or more matching parameters associated with the one or more matching objects are determined;

[0018] Matching a first accident record associated with the accident record name from a matching record library, wherein the matching record library is set in a handheld terminal;

[0019] Based on the one or more matching parameters, obtaining one or more second accident records associated with the one or more matching parameters in the first accident record as accident records associated with the analysis and warning object of concern, wherein the first accident record includes the one or more second accident records;

[0020] or;

[0021] When paying attention to a matching object and one or more analysis and warning objects, the monitored elderly attribute is determined based on the monitored elderly attribute label, and based on the monitored elderly attribute, one or more accident record names associated with the one or more analysis and warning objects are determined, and the first matching parameter associated with the matching object of interest is determined;

[0022] Matching one or more accident records associated with the one or more accident record names from a matching record library, wherein the matching record library is set in the handheld terminal;

[0023] Based on the first matching parameter, one or more third accident records associated with the first matching parameter in the one or more accident records are obtained as accident records associated with the analysis and warning object of concern, wherein each accident record in the one or more accident records includes a third accident record.

[0024] Furthermore, based on the attribute tags of the monitored elderly, the concerned analysis and warning objects, and the concerned matching objects, the associated accident records are obtained, including:

[0025] When paying attention to one or more matching objects and an analysis and warning object, the attributes of the monitored elderly are determined based on the attribute labels of the monitored elderly, and based on the attributes of the monitored elderly, the names of the accident records associated with the concerned analysis and warning objects are determined, and one or more matching parameters associated with the one or more matching objects are determined;

[0026] transmitting the accident record name and the one or more matching parameters to a central control terminal, wherein the handheld terminal is wirelessly connected to the central control terminal;

[0027] The central control terminal matches the first accident record associated with the accident record name from the second setter, wherein the second setter is set at the central control terminal;

[0028] The central control end obtains one or more second accident records associated with the one or more matching parameters in the first accident record based on the one or more matching parameters, wherein the first accident record includes the one or more second accident records.

[0029] The central control end transmits the one or more second accident records as accident records associated with the concerned analysis and warning object to the handheld terminal;

[0030] or;

[0031] When paying attention to a matching object and one or more analysis and warning objects, the monitored elderly attribute is determined based on the monitored elderly attribute tag, and based on the monitored elderly attribute, one or more accident record names associated with the one or more analysis and warning objects are determined, and the first matching parameter associated with the matching object of interest is determined;

[0032] Transmitting the one or more accident record names and the first matching parameter to a central control terminal, wherein the handheld terminal is wirelessly connected to the central control terminal;

[0033] The central control terminal matches one or more accident records associated with the one or more accident record names from a second setter, wherein the second setter is set at the central control terminal;

[0034] The central control end obtains, based on the first matching parameter, one or more third accident records associated with the first matching parameter from the one or more accident records as accident records associated with the concerned analysis and warning object, wherein each accident record in the one or more accident records includes a third accident record;

[0035] The central control end transmits the one or more third accident records as accident records associated with the concerned analysis and warning object to the handheld terminal.

[0036] Furthermore, the method further comprises:

[0037] When the matching degree does not meet the obtained accident record, the home information of the monitored elderly person, the obtained accident record and the detection result are transmitted to the management end.

[0038] According to a second aspect of the present invention, the present invention claims protection for a data analysis device for monitoring elderly people at home, comprising:

[0039] A collection unit, used for collecting identity information of a monitored elderly person, and obtaining the monitored elderly person's home information, wherein the monitored elderly person's home information includes a monitored elderly person attribute tag, the identity information identifies the monitored elderly person separately from other monitored elderly persons, and the identity information is associated with the monitored elderly person attribute tag;

[0040] An acquisition unit, used to acquire a matching object set and an analysis and warning object set, wherein the matching object set includes a plurality of matching objects, and the analysis and warning object set includes a plurality of analysis and warning objects;

[0041] A decision unit, based on the first monitoring request, decides one or more matching objects of concern, and based on the second monitoring request, decides one analysis and warning object of concern; or based on the first monitoring request, decides one matching object of concern, and based on the second monitoring request, decides one or more analysis and warning objects of concern;

[0042] A first output unit, configured to obtain a matching degree associated with the one or more matching objects of interest from the monitored elderly person's home information;

[0043] The second output unit obtains the associated accident records based on the attribute labels of the monitored elderly, the concerned analysis and warning objects, and the concerned matching objects;

[0044] A processing unit, used to detect whether the matching degree is consistent with the obtained accident record, and obtain a detection result;

[0045] An acquisition unit is further used to acquire the matching degree, the obtained accident record and the detection result;

[0046] The data analysis device for monitoring elderly people at home is used to execute the data analysis method for monitoring elderly people at home.

[0047] The present application relates to the field of big data technology, and in particular to a data analysis method and device for monitoring elderly people at home, collecting identity information of the monitored elderly, obtaining the monitored elderly's home information of the monitored elderly; obtaining a matching object set and an analysis and warning object set; according to a first monitoring request, deciding one or more matching objects of concern, according to a second monitoring request, deciding an analysis and warning object of concern; obtaining a matching degree associated with the matching object of concern from the monitored elderly's home information; obtaining an associated accident record based on the monitored elderly's attribute label, the concerned analysis and warning object, and the concerned matching object; detecting whether the matching degree is consistent with the obtained accident record, and obtaining a detection result; obtaining the matching degree, the obtained accident record, and the detection result. The present invention can effectively match similar situations of monitored elderly people based on multi-dimensional information, give reasonable warnings in advance, and maximize the protection of the safety of elderly people at home. BRIEF DESCRIPTION OF THE DRAWINGS

[0048] Figure 1 A workflow diagram of a data analysis method for monitoring elderly people at home as claimed in an embodiment of the present application;

[0049] Figure 2 A second work flow chart of a data analysis method for monitoring elderly people at home as claimed in an embodiment of the present application;

[0050] Figure 3 A third work flow chart of a data analysis method for monitoring elderly people at home as claimed in an embodiment of the present application;

[0051] Figure 4 A fourth work flow chart of a data analysis method for monitoring elderly people at home as claimed in an embodiment of the present application;

[0052] Figure 5 A fifth work flow chart of a data analysis method for monitoring elderly people at home as claimed in an embodiment of the present application;

[0053] Figure 6 This is a structural module diagram of a data analysis device for monitoring elderly people at home, as claimed in an embodiment of the present application. DETAILED DESCRIPTION

[0054] The following will be combined with the drawings in the embodiments of the present application to clearly and completely describe the technical solutions in the embodiments of the present application. Obviously, the described embodiments are only part of the embodiments of the present application, not all of the embodiments. Based on the embodiments in the present application, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of this application.

[0055] The terms "first", "second" and "third" in this application are only used for descriptive purposes, and cannot be understood as indicating or implying relative importance or implicitly indicating the number of indicated technical features. Thus, the features defined as "first", "second" and "third" can explicitly or implicitly include one or more of the features. In the description of this application, the meaning of "several" is at least two, such as two, three, etc., unless otherwise clearly and specifically defined. In the embodiments of this application, all directional indications (such as up, down, left, right, front, back...) are only used to explain the relative position relationship, movement, etc. between the components under a certain specific posture (as shown in the accompanying drawings). If the specific posture changes, the directional indication also changes accordingly. In addition, the terms "including" and "having" and any of their variations are intended to cover non-exclusive inclusions. For example, a process, method, system, product or device that includes a series of steps or units is not limited to the listed steps or units, but optionally also includes steps or units that are not listed, or optionally also includes other steps or units inherent to these processes, methods, products or devices.

[0056] Reference to "embodiments" herein means that a particular feature, structure, or characteristic described in conjunction with the embodiments may be included in one or more embodiments 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.

[0057] Figure 1 A data analysis method for monitoring elderly people at home provided by an embodiment of the present invention is applied to a handheld terminal, and the method includes:

[0058] S11, collecting identity information of the monitored elderly person, and obtaining the monitored elderly person's home information, wherein the monitored elderly person's home information includes the monitored elderly person's attribute tag, the identity information identifies the monitored elderly person separately from other monitored elderly persons, and the identity information is associated with the monitored elderly person's attribute tag;

[0059] Specifically, the identity information belongs to the monitored elderly person, and the identity information can be fingerprint or facial information. The identity information is associated with the monitored elderly person's attribute tag, so that the collected identity information can obtain the monitored elderly person's home information, but will not obtain the data of other monitored elderly people. The handheld terminal can be an APP installed on the mobile terminal.

[0060] Monitoring of elderly people’s home information includes age deviation value, gender, chronic disease level, emotional stability level, accident record level, hospitalization record similarity, home internal environment layout similarity, etc. Monitoring parameters can be increased based on actual needs.

[0061] S12, obtaining a matching object set and an analysis and warning object set, wherein the matching object set includes a plurality of matching objects, and the analysis and warning object set includes a plurality of analysis and warning objects;

[0062] After collecting the identity information of the monitored elderly through the handheld terminal, the matching object set and the analysis and warning object set are obtained on the handheld terminal. The matching object set can be obtained on the left side of the acquisition interface of the handheld terminal, and the analysis and warning object set can be obtained on the right side of the acquisition interface. In addition, the matching object set can also be obtained on the top of the acquisition interface, and the analysis and warning object set can be obtained on the bottom of the acquisition interface.

[0063] The matching object set includes: age matching objects, gender matching objects, chronic disease matching objects, emotional stability matching objects, home interior environment matching objects, accident record matching objects, critical disease matching objects, etc.

[0064] The analysis and warning object set includes several accident record objects, which may be home accident records or medical accident records, for example: living room accident record objects, bedroom accident record objects, kitchen accident record objects, bathroom accident record objects, fracture accident record objects, etc.

[0065] The matching object set and the analysis and warning object set can be set based on actual needs. By obtaining the matching object set and the analysis and warning object set, users can conveniently learn the monitoring parameters that can be matched.

[0066] S13. According to the first monitoring request, one or more matching objects to be concerned are determined, and according to the second monitoring request, one analysis and warning object to be concerned is determined; or according to the first monitoring request, one matching object to be concerned is determined, and according to the second monitoring request, one or more analysis and warning objects to be concerned are determined;

[0067] Specifically, the acquisition interface of the handheld terminal is a touch screen. You can directly click on the matching object operation to focus on the matching object. You can select one matching object and one analysis and warning object for matching; you can also select several matching objects. When two or more matching objects are selected, only one analysis and warning object can be selected. When the analysis and warning object selects two or more matching objects, only one matching object can be selected.

[0068] For example, you can select an age matching object and a gender matching object, select a living room accident record object, and match the age and gender of the monitored elderly to see if they match the living room accident record. In addition, you can also select an age matching object, select a living room accident record object and a bedroom accident record object, and match the age and gender of the monitored elderly to see if they match the living room accident record and the bedroom accident record.

[0069] S14, obtaining a matching degree associated with a matching object of interest from the monitored elderly person's home information;

[0070] For example, if the match object of interest is an age match object, the associated match degree is the age deviation value, or if the selected match object is an age match object and a gender match object, the associated match degree is the age deviation value and the gender.

[0071] S15, obtaining associated accident records based on the attribute labels of the monitored elderly, the concerned analysis and warning objects, and the concerned matching objects;

[0072] Specifically, the attribute label of the monitored elderly person can reflect the attributes of the monitored elderly person, and the attributes of the monitored elderly person are decided based on the attribute label of the monitored elderly person. For example, based on the attribute label of the monitored elderly person, the decision is made to monitor the elderly person who is 60 years old. Then the accident record associated with the 60-year-old monitored elderly person is Class A, the analysis and warning object of concern is the living room accident record object, and the matching object of concern is the age deviation value. Then the associated accident record is the Class A age deviation value accident record in the living room accident record.

[0073] S16, detecting whether the matching degree is consistent with the obtained accident record, and obtaining a detection result;

[0074] For example, the matching degree is the age deviation value and gender, and the obtained accident record is the age deviation value accident record and gender accident record in the living room accident record with the attribute of 60 years old. It is selected to detect whether the age deviation value and gender are consistent with the accident record.

[0075] S17. Obtain the matching degree, the obtained accident records and the detection results.

[0076] For example, in the acquisition interface, the age deviation value and gender of the monitored elderly person, the age deviation value accident record of Class A in the living room accident record, the gender accident record, and the detection result are obtained. For example, the age deviation value is +3, the gender similarity is 1, and the Class A accident record requirements in the living room accident record are obtained;

[0077] The monitored elderly person's age is 60 and gender is male. A monitored elderly person A is obtained from the matching library. His age is 57 and gender is male. The living room accident record shows that the elderly person A has had a fall accident. The living room floor of the elderly person A's home is highly similar to the living room floor of the monitored elderly person's home.

[0078] Obtain the specific time when the elderly A had a fall accident and other factors, and provide an early warning to the monitoring terminal that monitors the elderly.

[0079] In one embodiment, when one or more matching objects and one analysis warning object are focused on in step 13, such as Figure 2 As shown, step S15 includes the following steps:

[0080] S21, based on the monitored elderly attribute label, determine the monitored elderly attribute, based on the monitored elderly attribute, determine the accident record name associated with the concerned analysis and warning object, and determine one or more matching parameters associated with the concerned one or more matching objects;

[0081] S22, matching a first accident record associated with the accident record name from a matching record library, wherein the matching record library is set in the handheld terminal;

[0082] S23. Based on the one or more matching parameters, obtain one or more second accident records associated with the one or more matching parameters in the first accident record as associated accident records, wherein the first accident record includes the one or more second accident records.

[0083] Among them, in this embodiment, the first accident record can be a fire accident, and the second accident record can be other accidents of the elderly related to the fire accident, such as a fall accident, a sudden heart attack accident, etc.

[0084] In one embodiment, when one matching object and one or more analysis and warning objects are concerned in step 13, such as Figure 3 As shown, step S15 includes the following steps:

[0085] S31, determining the attributes of the monitored elderly based on the attribute label of the monitored elderly, determining one or more accident record names associated with the one or more analysis and warning objects based on the attribute of the monitored elderly, and determining the first matching parameter associated with the matching object of interest;

[0086] S32, matching one or more accident records associated with the one or more accident record names from a matching record library, wherein the matching record library is set in a handheld terminal;

[0087] S33. Based on the first matching parameter, one or more third accident records associated with the first matching parameter in the one or more accident records are obtained as accident records associated with the analysis and warning object of concern, wherein each accident record in the one or more accident records includes a third accident record.

[0088] In one embodiment, various accident records may also be set in the central control terminal. Therefore, when various accident records are set in the central control terminal, and when one or more matching objects and one analysis and warning object are concerned in step 13, such as Figure 4 As shown, step S15 includes the following steps:

[0089] S41, determining the attributes of the monitored elderly based on the attribute label of the monitored elderly, determining the name of the accident record associated with the concerned analysis and warning object based on the attribute of the monitored elderly, and determining one or more matching parameters associated with the concerned one or more matching objects;

[0090] S42, transmitting the accident record name and the one or more matching parameters to the central control terminal, wherein the handheld terminal is wirelessly connected to the central control terminal;

[0091] S43, the central control terminal matches the first accident record associated with the accident record name from the second setter, wherein the second setter is set at the central control terminal;

[0092] S44. The central control end obtains one or more second accident records associated with the one or more matching parameters in the first accident record based on the one or more matching parameters, wherein the first accident record includes the one or more second accident records.

[0093] S45. The central control end transmits the one or more second accident records as associated accident records to the handheld terminal.

[0094] In one embodiment, when various accident records are set in the central control terminal, and when a matching object and one or more analysis and warning objects are concerned in step 13, such as Figure 5 As shown, step S15 includes the following steps:

[0095] S51, determining the attributes of the monitored elderly based on the attribute label of the monitored elderly, determining one or more accident record names associated with the one or more analysis and warning objects based on the attribute of the monitored elderly, and determining the first matching parameter associated with the matching object of interest;

[0096] S52, transmitting the one or more accident record names and the first matching parameter to the central control terminal, wherein the handheld terminal is wirelessly connected to the central control terminal;

[0097] S53, the central control end matches one or more accident records associated with the one or more accident record names from a second setter, wherein the second setter is set at the central control end;

[0098] S54. The central control end obtains, based on the first matching parameter, one or more third accident records associated with the first matching parameter from the one or more accident records as accident records associated with the analysis and warning object of interest, wherein each accident record in the one or more accident records includes a third accident record;

[0099] S55. The central control end transmits the one or more third accident records as accident records associated with the concerned analysis and warning object to the handheld terminal.

[0100] In one embodiment, the method further comprises:

[0101] When the matching degree does not meet the obtained accident record, the home information of the monitored elderly person, the obtained accident record and the detection result are transmitted to the management end.

[0102] The management end can be a handheld terminal of a manufacturer's manager or a handheld terminal of a brand's manager, so that the manufacturer or brand can easily count the monitoring parameters that consumers are concerned about, as well as which accident records are not met by the monitoring parameters.

[0103] Figure 6 The structure diagram of a data analysis device for monitoring elderly people at home provided by an embodiment of the present invention includes:

[0104] A collection unit, used for collecting identity information of a monitored elderly person, and obtaining the monitored elderly person's home information, wherein the monitored elderly person's home information includes a monitored elderly person attribute tag, the identity information identifies the monitored elderly person separately from other monitored elderly persons, and the identity information is associated with the monitored elderly person attribute tag;

[0105] An acquisition unit, used to acquire a matching object set and an analysis and warning object set, wherein the matching object set includes a plurality of matching objects, and the analysis and warning object set includes a plurality of analysis and warning objects;

[0106] A decision unit, based on the first monitoring request, decides one or more matching objects of concern, and based on the second monitoring request, decides one analysis and warning object of concern; or based on the first monitoring request, decides one matching object of concern, and based on the second monitoring request, decides one or more analysis and warning objects of concern;

[0107] A first output unit, configured to obtain a matching degree associated with the one or more matching objects of interest from the monitored elderly person's home information;

[0108] The second output unit obtains the associated accident records based on the attribute labels of the monitored elderly, the concerned analysis and warning objects, and the concerned matching objects;

[0109] A processing unit, used to detect whether the matching degree is consistent with the obtained accident record, and obtain a detection result;

[0110] The acquisition unit is further used to acquire the matching degree, the obtained accident record and the detection result.

[0111] In one embodiment, when the device matches the associated accident record to the central control terminal, the device further includes a communication unit for communicating with the central control terminal.

[0112] In one embodiment, the present invention also provides another data analysis device for monitoring elderly people at home, including:

[0113] one or more processors;

[0114] One or more setters for setting one or more programs;

[0115] When the one or more programs are executed by the one or more processors, the one or more processors implement the method steps provided in the above embodiments.

[0116] The present invention discloses a data analysis method and device for monitoring elderly people at home, which obtains the home information of the monitored elderly people by collecting the identity information of the monitored elderly people; and can select and analyze various accident records for early warning, so as to obtain the monitoring parameters of the monitored elderly people more quickly and intuitively.

[0117] In the several embodiments provided in the present application, it should be understood that the disclosed systems, devices and methods can be implemented in other ways. For example, the device embodiments described above are only schematic. For example, the division of units is only a logical function division. There may be other division methods in actual implementation. For example, several units or objects can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the mutual coupling or direct coupling or communication connection obtained or discussed can be an indirect coupling or communication connection through some interfaces, devices or units, which can be electrical, mechanical or other forms.

[0118] In addition, each functional unit in each embodiment of the present application can be integrated into one processing unit, or each unit can exist physically separately, or two or more units can be integrated into one unit. The above integrated unit can be implemented in the form of hardware or in the form of software functional units. The above is only an implementation method of the present application, and does not limit the patent scope of the present application. Any equivalent structure or equivalent process transformation made using the contents of the specification and drawings of this application, or directly or indirectly used in other related technical fields, is also included in the patent protection scope of the present application.

[0119] The specific implementation methods of the invention are described in detail above, but they are only examples, and the present application is not limited to the specific implementation methods described above. For those skilled in the art, any equivalent modification or substitution of the invention is also within the scope of the present application, and therefore, the equalization, modification, and improvement made without departing from the spirit and principle of the present application should be included in the scope of the present application.

Claims

1. A data analysis method for monitoring elderly people at home, applied to a handheld terminal, characterized in that: The method comprises: Collect identity information of the monitored elderly person to obtain the monitored elderly person's home information, wherein the monitored elderly person's home information includes the monitored elderly person's attribute tag, the identity information identifies the monitored elderly person separately from other monitored elderly persons, and the identity information is associated with the monitored elderly person's attribute tag; Obtaining a matching object set and an analysis and warning object set, wherein the matching object set includes a plurality of matching objects, and the analysis and warning object set includes a plurality of analysis and warning objects; According to the first monitoring request, one or more matching objects to be concerned are decided, and according to the second monitoring request, one analysis and warning object to be concerned is decided; or according to the first monitoring request, one matching object to be concerned is decided, and according to the second monitoring request, one or more analysis and warning objects to be concerned are decided; Obtaining a matching degree associated with a matching object of interest from the monitored elderly person's home information; Based on the attribute tags of the monitored elderly, the concerned analysis and warning objects, and the concerned matching objects, the associated accident records are obtained; Detecting whether the matching degree is consistent with the obtained accident record, and obtaining a detection result; Obtain the matching degree, the obtained accident record and the detection result.

2. The data analysis method for monitoring elderly people at home as claimed in claim 1, characterized in that: The identity information is fingerprint or facial information.

3. The data analysis method for monitoring elderly people at home as claimed in claim 1, characterized in that: The monitored elderly home information includes age deviation value, gender, chronic disease level, emotional stability level, accident record level, hospitalization record similarity, and home internal environment layout similarity.

4. The data analysis method for monitoring elderly people at home as claimed in claim 1, characterized in that: The matching object set includes: age matching object, gender matching object, chronic disease matching object, emotional stability matching object, home interior environment matching object, accident record matching object, and critical disease matching object.

5. The data analysis method for monitoring elderly people at home as claimed in claim 1, characterized in that: Based on the attribute tags of the monitored elderly, the concerned analysis and warning objects, and the concerned matching objects, the associated accident records include: When paying attention to one or more matching objects and an analysis and warning object, the attributes of the monitored elderly are determined based on the attribute labels of the monitored elderly, and based on the attributes of the monitored elderly, the names of the accident records associated with the concerned analysis and warning objects are determined, and one or more matching parameters associated with the one or more matching objects are determined; Matching a first accident record associated with the accident record name from a matching record library, wherein the matching record library is set in a handheld terminal; Based on the one or more matching parameters, obtaining one or more second accident records associated with the one or more matching parameters in the first accident record as accident records associated with the analysis and warning object of concern, wherein the first accident record includes the one or more second accident records; or; When paying attention to a matching object and one or more analysis and warning objects, the monitored elderly attribute is determined based on the monitored elderly attribute tag, and based on the monitored elderly attribute, one or more accident record names associated with the one or more analysis and warning objects are determined, and the first matching parameter associated with the matching object of interest is determined; Matching one or more accident records associated with the one or more accident record names from a matching record library, wherein the matching record library is set in the handheld terminal; Based on the first matching parameter, one or more third accident records associated with the first matching parameter in the one or more accident records are obtained as accident records associated with the analysis and warning object of concern, wherein each accident record in the one or more accident records includes a third accident record.

6. The data analysis method for monitoring elderly people at home as claimed in claim 1, characterized in that: Based on the attribute tags of the monitored elderly, the concerned analysis and warning objects, and the concerned matching objects, the associated accident records include: When paying attention to one or more matching objects and an analysis and warning object, the attributes of the monitored elderly are determined based on the attribute labels of the monitored elderly, and based on the attributes of the monitored elderly, the names of the accident records associated with the concerned analysis and warning objects are determined, and one or more matching parameters associated with the one or more matching objects are determined; transmitting the accident record name and the one or more matching parameters to a central control terminal, wherein the handheld terminal is wirelessly connected to the central control terminal; The central control terminal matches the first accident record associated with the accident record name from the second setter, wherein the second setter is set at the central control terminal; The central control end obtains one or more second accident records associated with the one or more matching parameters in the first accident record based on the one or more matching parameters, wherein the first accident record includes the one or more second accident records. The central control end transmits the one or more second accident records as accident records associated with the concerned analysis and warning object to the handheld terminal; or; When paying attention to a matching object and one or more analysis and warning objects, the monitored elderly attribute is determined based on the monitored elderly attribute tag, and based on the monitored elderly attribute, one or more accident record names associated with the one or more analysis and warning objects are determined, and the first matching parameter associated with the matching object of interest is determined; Transmitting the one or more accident record names and the first matching parameter to a central control terminal, wherein the handheld terminal is wirelessly connected to the central control terminal; The central control terminal matches one or more accident records associated with the one or more accident record names from a second setter, wherein the second setter is set at the central control terminal; The central control end obtains, based on the first matching parameter, one or more third accident records associated with the first matching parameter from the one or more accident records as accident records associated with the concerned analysis and warning object, wherein each accident record in the one or more accident records includes a third accident record; The central control end transmits the one or more third accident records as accident records associated with the concerned analysis and warning object to the handheld terminal.

7. The data analysis method for monitoring elderly people at home as claimed in claim 1, characterized in that: The method further comprises: When the matching degree does not meet the obtained accident record, the home information of the monitored elderly person, the obtained accident record and the detection result are transmitted to the management end.

8. A data analysis device for monitoring elderly people at home, characterized in that: include: A collection unit, used for collecting identity information of a monitored elderly person, and obtaining the monitored elderly person's home information, wherein the monitored elderly person's home information includes a monitored elderly person attribute tag, the identity information identifies the monitored elderly person separately from other monitored elderly persons, and the identity information is associated with the monitored elderly person attribute tag; An acquisition unit, used to acquire a matching object set and an analysis and warning object set, wherein the matching object set includes a plurality of matching objects, and the analysis and warning object set includes a plurality of analysis and warning objects; A decision unit, based on the first monitoring request, decides one or more matching objects of concern, and based on the second monitoring request, decides one analysis and warning object of concern; or based on the first monitoring request, decides one matching object of concern, and based on the second monitoring request, decides one or more analysis and warning objects of concern; A first output unit, configured to obtain a matching degree associated with the one or more matching objects of interest from the monitored elderly person's home information; The second output unit obtains the associated accident records based on the attribute labels of the monitored elderly, the concerned analysis and warning objects, and the concerned matching objects; A processing unit, used to detect whether the matching degree is consistent with the obtained accident record, and obtain a detection result; An acquisition unit is further used to acquire the matching degree, the obtained accident record and the detection result; The data analysis device for monitoring elderly people at home is used to execute the data analysis method for monitoring elderly people at home as described in any one of claims 1-7.

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