CN111080968B - Linkage control early warning method and system for accidental occurrence of solitary old people - Google Patents
Linkage control early warning method and system for accidental occurrence of solitary old people Download PDFInfo
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- CN111080968B CN111080968B CN201911322382.9A CN201911322382A CN111080968B CN 111080968 B CN111080968 B CN 111080968B CN 201911322382 A CN201911322382 A CN 201911322382A CN 111080968 B CN111080968 B CN 111080968B
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- G08—SIGNALLING
- G08B—SIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
- G08B21/00—Alarms responsive to a single specified undesired or abnormal condition and not otherwise provided for
- G08B21/02—Alarms for ensuring the safety of persons
- G08B21/04—Alarms for ensuring the safety of persons responsive to non-activity, e.g. of elderly persons
- G08B21/0407—Alarms for ensuring the safety of persons responsive to non-activity, e.g. of elderly persons based on behaviour analysis
- G08B21/0423—Alarms for ensuring the safety of persons responsive to non-activity, e.g. of elderly persons based on behaviour analysis detecting deviation from an expected pattern of behaviour or schedule
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- G08B—SIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
- G08B25/00—Alarm systems in which the location of the alarm condition is signalled to a central station, e.g. fire or police telegraphic systems
- G08B25/01—Alarm systems in which the location of the alarm condition is signalled to a central station, e.g. fire or police telegraphic systems characterised by the transmission medium
- G08B25/016—Personal emergency signalling and security systems
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Abstract
The invention discloses a linkage control early warning method for accidental occurrence of solitary old people, which comprises the following steps: acquiring use data of the intelligent household equipment, and performing learning analysis according to the use data to obtain a user portrait; detecting real-time use data of intelligent home equipment in a house where the elderly people living alone are located in real time, and triggering an early warning signal when the real-time use data is inconsistent with the threshold value comparison of the user portrait; after the early warning signal is triggered, searching is carried out through a community video file stored in a community management system to obtain the activity track of the solitary old people; and judging the time of the activity track, when the relevant activity track is not inquired in a preset time threshold before and after the occurrence time of the early warning signal is judged, determining that the solitary old man is in danger, sending preset danger information to a user terminal of a guardian belonging to the solitary old man, and sending the preset danger information to a property management system so that property management personnel can timely rescue at home.
Description
Technical Field
The invention relates to the field of smart homes, in particular to a linkage control early warning method and system for the accident occurrence of solitary old people.
Background
In the application of intelligent home, various intelligent devices are used in a coordinated mode, and meanwhile, the indoor environment is monitored, but the traditional monitoring mode cannot monitor all accidents. For example, if an accident occurs in a home for a solitary old person, and a monitoring camera cannot shoot the accident scene, a layman cannot know that the old person has an accident in the home, so that the old person cannot be rescued in time, the gold rescue time is missed, and inestimable loss is caused.
Therefore, in the application of the smart home system, a method for linkage control and early warning of the solitary old people due to accidents is greatly needed, so that the technical problem that in the application of the smart home system, when the solitary old people have unexpected dangerous situations indoors, the foreign people cannot arrive at the site in time to process the dangerous situations, and the immeasurable loss is caused is solved.
Disclosure of Invention
The invention provides a linkage control early warning method and a linkage control early warning system for the accident occurrence of solitary old people, which judge the possible distress situation by learning and analyzing the use data of equipment used by the solitary old people, determine the distress event of the solitary old people by judging the time of an activity track and send distress information; the intelligent household system solves the technical problem that in the application of an intelligent household system in the prior art, when the solitary old people have an unexpected dangerous situation indoors, the foreign people cannot timely arrive at the site to process the dangerous situation, and inestimable loss is caused, so that the dangerous situation of the solitary old people is timely found and an alarm signal is sent, and then managers are informed to timely arrive at the site to process the dangerous situation, and the emergency dangerous situation is processed for owners.
In order to solve the technical problem, an embodiment of the present invention provides a linkage control early warning method for accidental occurrence of solitary old people, including:
acquiring use data of the intelligent household equipment, and performing learning analysis according to the use data to obtain a user portrait;
detecting real-time use data of intelligent home equipment in a house where the elderly people living alone are located in real time, and triggering an early warning signal when the real-time use data is inconsistent with the threshold value comparison of the user portrait;
after an early warning signal is triggered, searching is carried out through a community video file stored in a community management system, and an activity track of the solitary old man is obtained;
and judging the time of the activity track, when the relevant activity track is not inquired in a preset time threshold before and after the occurrence time of the early warning signal is judged, determining that the solitary old man is in danger, sending preset danger information to a user terminal of a guardian belonging to the solitary old man, and sending the preset danger information to a property management system so that property management personnel can timely rescue at home.
As a preferred scheme, the acquiring usage data of the smart home device, and performing learning analysis according to the usage data to obtain a user portrait specifically includes:
collecting intelligent household equipment data from an Internet of things connection middlebox;
converting the collected data into call ticket data, generating a data file and storing the data file;
and performing data mining on the ticket data file to form a user portrait.
As a preferred scheme, the data mining of the call ticket data file to form a user portrait specifically comprises:
and combining the call ticket data files, caching and establishing an algorithm model in the embodiment, mining data and outputting the user label to a database for storage.
As a preferred scheme, the specific process of establishing the algorithm model includes:
establishing a first MR model, combining all data of a class of call tickets of a single user in multiple dimensions, and generating a data block related to the user; based on the combined data blocks, extracting user attributes, counting article behavior characteristics, generating various labels related to the user individuals, and obtaining individual analysis parameters;
establishing a second MR model, and calculating the global parameters of the call ticket data file;
and establishing a third MR model, performing final data mining according to the individual analysis parameters and the global parameters, describing the user portrait according to a mining result, and outputting a user label.
As a preferred scheme, after the early warning signal is triggered, the activity track of the elderly living alone is obtained by searching through a community video file stored in a community management system, and the method specifically includes the following steps:
carrying out face recognition on the face features of the elderly living alone by a face snapshot technology, and reporting the face related data obtained by recognition to a storage edge end file system;
comparing the human faces in human face pictures acquired by a plurality of cameras and searching the personnel information same as the pictures;
and generating a personnel track analysis layer according to the geographical position information and the personnel occurrence time data acquired by the plurality of cameras.
As the preferred scheme, the linkage control early warning method for the accident occurrence of the solitary old people further comprises the following steps: and when the state of the intelligent household equipment in the house where the owner is located is detected to be changed, sending preset information data to the user terminal.
As the preferred scheme, the linkage control early warning method for the accident occurrence of the solitary old people further comprises the following steps: and acquiring a control instruction sent by a user terminal, and controlling the intelligent household equipment in the house where the owner is located to execute an instruction action corresponding to the control instruction.
The embodiment of the invention provides a linkage control early warning system for the accident occurrence of solitary old people, which comprises:
the learning analysis module is used for acquiring the use data of the intelligent household equipment, and performing learning analysis according to the use data to obtain a user portrait;
the data early warning module is used for detecting real-time use data of intelligent home equipment in a house where the old people living alone are located in real time, and triggering an early warning signal when the real-time use data is not consistent with the threshold value comparison of the user portrait;
the activity track module is used for searching through a community video file stored in a community management system after an early warning signal is triggered to obtain an activity track of the solitary old man;
and the information sending module is used for judging the time of the activity track, determining that the elderly living alone are in danger when the relevant activity track is not inquired within a preset time threshold before and after the occurrence time of the early warning signal is judged, sending preset danger information to a user terminal of a guardian belonging to the elderly living alone, and sending the preset danger information to the property management system so that property management personnel can rescue at home in time.
An embodiment of the present invention further provides a computer-readable storage medium, where the computer-readable storage medium includes a stored computer program; when the computer program runs, the device where the computer readable storage medium is located is controlled by the computer program to execute the linkage control early warning method for the accident of the solitary old people.
The embodiment of the invention also provides terminal equipment which comprises a processor, a memory and a computer program which is stored in the memory and is configured to be executed by the processor, wherein the processor realizes the accidental linkage control early warning method for the solitary old people when executing the computer program.
Compared with the prior art, the embodiment of the invention has the following beneficial effects:
the invention judges the possible distress situation by learning and analyzing the use data of the equipment used by the solitary old man, determines the distress event of the solitary old man by the time judgment of the movement track, and sends out distress information; the intelligent household system solves the technical problem that in the application of an intelligent household system in the prior art, when the solitary old people have an unexpected dangerous situation indoors, the foreign people cannot timely arrive at the site to process the dangerous situation, and inestimable loss is caused, so that the dangerous situation of the solitary old people is timely found and an alarm signal is sent, and then managers are informed to timely arrive at the site to process the dangerous situation, and the emergency dangerous situation is processed for owners.
Drawings
FIG. 1: the invention is a flow chart of the steps of the linkage control early warning method for the accident occurrence of the solitary old people;
FIG. 2 is a schematic diagram: the intelligent home overall architecture diagram is an intelligent home overall architecture diagram in the embodiment of the invention;
FIG. 3: the schematic structure diagram for finding the activity track in the embodiment of the invention is shown.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
Referring to fig. 1 to 3, a preferred embodiment of the present invention provides a linkage control early warning method for an accidental occurrence of solitary old people, including:
s1, acquiring the use data of the intelligent household equipment, and performing learning analysis according to the use data to obtain a user portrait; in this embodiment, the step S1 specifically includes: s11, collecting data of the intelligent household equipment from the Internet of things connection middlebox; s12, converting the collected data into call ticket data, generating a data file and storing the data file; and S13, performing data mining on the ticket data file to form a user portrait.
In this embodiment, the step S13 specifically includes: and combining the call ticket data files, caching and establishing an algorithm model in the embodiment, mining data and outputting the user label to a database for storage.
In this embodiment, the specific process of establishing the algorithm model includes: establishing a first MR model, combining all data of a class of call tickets of a single user in multiple dimensions, and generating a data block related to the user; based on the combined data blocks, extracting user attributes, counting article behavior characteristics, generating various labels related to the user individuals, and obtaining individual analysis parameters; establishing a second MR model, and calculating the global parameters of the ticket data file; and establishing a third MR model, performing final data mining according to the individual analysis parameters and the global parameters, describing the user portrait according to a mining result, and outputting a user label.
Specifically, the old man can cook, bathe, heat operation such as hot water every day, and to these high-frequency household devices, the state change of equipment all can send wisdom house cloud platform through the network, and the cloud platform record user's use habit every day, and the recording scheme is as follows:
a. automatically acquiring equipment data from the Internet of things connection middlebox;
b. and converting the acquired data into call ticket data, wherein the main dimensions comprise a user, a place, time and an object type, and finally generating a data file which is stored to a big data platform Hadoop. (attached: the call ticket is used for describing the use behavior of the user on the article)
c. And performing data mining on the ticket data file to form a user portrait. The method comprises the specific steps of combining call ticket data files by using a big data platform Hadoop, caching and establishing a MapReduce model in a Reduce instance, mining data, and outputting a user tag to an HBASE database.
The main algorithm model is as follows:
combining all data of a class of call tickets of a single user by multiple dimensions by adopting a first MR model to generate a data block related to the user; based on the combined data block, extracting user attributes, counting article behavior characteristics, generating various labels related to the user individuals, and obtaining individual analysis parameters including content preference, article use frequency and the like;
calculating the global parameters of the call ticket data file by adopting a second MR model;
and finally mining data by adopting a third MR model according to the individual analysis parameters and the global parameters, describing the user portrait according to a mining result, and outputting a user label.
S2, real-time use data of the smart home equipment in the house of the solitary old people are detected in real time, and when the real-time use data are not consistent with the threshold value comparison of the user portrait, an early warning signal is triggered.
When the old people are detected not to have a bath or cook for 3X24 hours, the information is sent to a community management system, and the community management system searches the activity track of the old people from the face information input by the old people and the nearest community video.
S3, after the early warning signal is triggered, searching is carried out through a community video file stored in a community management system to obtain the activity track of the solitary old people; in this embodiment, the step S3 specifically includes: s31, carrying out face recognition on the face features of the elderly people living alone by a face snapshot technology, and reporting the face related data obtained by recognition to a storage edge file system; s32, comparing human faces in human face pictures acquired by a plurality of cameras and searching the same personnel information as the pictures; and S33, generating a personnel trajectory analysis layer according to the geographical position information and the personnel occurrence time data acquired by the plurality of cameras.
Specifically, as shown in fig. 3, the data processing flow for searching the activity track of the elderly person is as follows:
a) the front-end camera finishes the functions of face detection, tracking, optimization and reporting through face snapshot (also can be realized through the real-time flow drawing of the face by an AI box), and face related data is reported to a storage edge end file system.
b) And comparing the human faces in the human face pictures of the cameras and searching the information of the same personnel as the pictures.
c) And generating a personnel track analysis layer according to the geographical position information of the plurality of cameras and the personnel occurrence time data.
And S4, judging the time of the activity track, when the relevant activity track is not inquired in a preset time threshold before and after the occurrence time of the early warning signal is judged, determining that the elderly living alone are in danger, sending preset danger information to a user terminal of a guardian belonging to the elderly living alone, and sending the preset danger information to a property management system, so that property management personnel can rescue at home in time.
The result of searching the record is sent to the smart home system, if the activity track is not recorded outdoors, the system judges that the old man possibly sends an accident at home, cannot inform the outside, sends the judgment information to the mobile phone of the children of the old man, and sends the judgment information to the community management system. After receiving the information, the community management system distributes the alarm information to the mobile phone of the property personnel in the community where the old people are, and the property personnel can check the conditions of the old people at home when necessary.
In this embodiment, the method for controlling and warning the accidental occurrence of the solitary old people in a linkage manner further comprises the following steps: and S5, when the state of the intelligent household equipment in the house where the owner is located is detected to change, sending preset information data to the user terminal. In this embodiment, the method for linkage control and early warning of accidental occurrence of solitary old people further includes: and S6, acquiring a control instruction sent by the user terminal, and controlling the intelligent household equipment in the house where the owner is located to execute an instruction action corresponding to the control instruction.
The intelligent equipment is installed in a user home, wherein the intelligent equipment comprises WIFI equipment supporting connection with the Internet, Zigbee equipment supporting an ad hoc network, a Zigbee management equipment gateway and a gateway, and the gateway simultaneously supports Zigbee and WIFI protocols. The owner installs the smart home APP at a mobile phone or a pad terminal, and the smart device in the house is networked through the APP, so that the smart device information in the house of the user is sent to the smart home cloud platform. The intelligent device and the cloud platform establish a long link, and a heartbeat packet is sent every 3 seconds to keep the link long and alive for the timely communication of the two parties. When the intelligent equipment detects the equipment state change, the equipment state change is sent to the smart home cloud platform through the long chain, and when the smart home cloud platform receives the equipment state change, the information can be pushed to a user mobile phone APP; when the user passes through cell-phone APP remote control equipment, send operating instruction to wisdom house cloud platform earlier, the cloud platform finds the equipment that will control, connects through the long chain and sends this instruction to corresponding equipment on, accomplishes the two-way communication of user to equipment. The overall architecture of the smart home is shown in fig. 2.
The invention can monitor the daily use frequency of the electric appliance of the old in 24 hours, the system automatically learns and deduces that the old may have an accident, and the alarm information is pushed to the mobile phone of the relatives or the property manager is called to check the alarm information.
The technical scheme of the invention has the advantages that: the cost is low, and common families have high-frequency household appliances such as electric cookers, water heaters and the like; and can be used as an aid to the care of the elderly.
Correspondingly, the embodiment of the invention provides a linkage control early warning system for the accident occurrence of the solitary old people, which comprises the following components:
the learning analysis module is used for acquiring the use data of the intelligent household equipment, and performing learning analysis according to the use data to obtain a user portrait;
the data early warning module is used for detecting real-time use data of intelligent home equipment in a house where the old people living alone are located in real time, and triggering an early warning signal when the real-time use data is not consistent with the threshold value comparison of the user portrait;
the activity track module is used for searching through a community video file stored in a community management system after triggering an early warning signal to obtain the activity track of the solitary old people;
and the information sending module is used for judging the time of the activity track, determining that the elderly living alone are in danger when the relevant activity track is not inquired within a preset time threshold before and after the occurrence time of the early warning signal is judged, sending preset danger information to a user terminal of a guardian belonging to the elderly living alone, and sending the preset danger information to the property management system so that property management personnel can rescue at home in time.
An embodiment of the present invention further provides a computer-readable storage medium, where the computer-readable storage medium includes a stored computer program; when the computer program runs, the computer program controls the device where the computer readable storage medium is located to execute the method for linkage control and early warning of accidental occurrence of solitary old people according to any one of the embodiments.
The embodiment of the invention also provides terminal equipment, which comprises a processor, a memory and a computer program which is stored in the memory and configured to be executed by the processor, wherein the processor realizes the accidental occurrence linkage control early warning method for the elderly living alone according to any embodiment when executing the computer program.
Preferably, the computer program may be divided into one or more modules/units (e.g., computer program) that are stored in the memory and executed by the processor to implement the invention. The one or more modules/units may be a series of computer program instruction segments capable of performing specific functions, which are used for describing the execution process of the computer program in the terminal device.
The Processor may be a Central Processing Unit (CPU), other general purpose Processor, a Digital Signal Processor (DSP), an Application Specific Integrated Circuit (ASIC), an off-the-shelf Programmable Gate Array (FPGA) or other Programmable logic device, a discrete Gate or transistor logic device, a discrete hardware component, etc., the general purpose Processor may be a microprocessor, or the Processor may be any conventional Processor, the Processor is a control center of the terminal device, and various interfaces and lines are used to connect various parts of the terminal device.
The memory mainly includes a program storage area and a data storage area, wherein the program storage area may store an operating system, an application program required for at least one function, and the like, and the data storage area may store related data and the like. In addition, the memory may be a high speed random access memory, may also be a non-volatile memory, such as a plug-in hard disk, a Smart Media Card (SMC), a Secure Digital (SD) Card, a Flash Card (Flash Card), and the like, or may also be other volatile solid state memory devices.
It should be noted that the terminal device may include, but is not limited to, a processor and a memory, and those skilled in the art will understand that the terminal device is only an example and does not constitute a limitation of the terminal device, and may include more or less components, or combine some components, or different components.
The above-mentioned embodiments are provided to further explain the objects, technical solutions and advantages of the present invention in detail, and it should be understood that the above-mentioned embodiments are only examples of the present invention and are not intended to limit the scope of the present invention. It should be understood that any modifications, equivalents, improvements and the like, which come within the spirit and principle of the invention, may occur to those skilled in the art and are intended to be included within the scope of the invention.
Claims (9)
1. The linkage control early warning method for the accident occurrence of the solitary old people is characterized by comprising the following steps of:
acquiring use data of the intelligent household equipment, and performing learning analysis according to the use data to obtain a user portrait;
detecting real-time use data of intelligent home equipment in a house where the elderly people living alone are located in real time, and triggering an early warning signal when the real-time use data is inconsistent with the threshold value comparison of the user portrait;
after the early warning signal is triggered, searching is carried out through a community video file stored in a community management system to obtain the activity track of the solitary old people;
judging the time of the activity track, when the relevant activity track is not inquired in a preset time threshold before and after the occurrence time of the early warning signal is judged, determining that the solitary old man is in danger, sending preset danger information to a user terminal of a guardian belonging to the solitary old man, and sending the preset danger information to a property management system so that property management personnel can rescue at home in time;
after triggering the early warning signal, look for through the community video file who stores among the community management system, obtain solitary old man's activity orbit specifically includes:
carrying out face recognition on the face features of the elderly living alone by a face snapshot technology, and reporting the face related data obtained by recognition to a storage edge end file system;
comparing the human faces in human face pictures acquired by a plurality of cameras and searching the personnel information same as the pictures;
and generating a personnel track analysis layer according to the geographical position information and the personnel occurrence time data acquired by the plurality of cameras.
2. The method for linkage control and early warning of accidental occurrence of solitary old people according to claim 1, wherein the steps of obtaining the use data of the intelligent household equipment, performing learning analysis according to the use data and obtaining a user portrait specifically comprise:
collecting intelligent household equipment data from an Internet of things connection middlebox;
converting the collected data into call ticket data, generating a data file and storing the data file;
and performing data mining on the ticket data file to form a user portrait.
3. The method for linkage control and early warning of accidental occurrence of solitary old people according to claim 2, wherein the step of performing data mining on a call ticket data file to form a user portrait specifically comprises the following steps:
and combining the call ticket data files, caching and establishing an algorithm model in the embodiment, mining data and outputting the user label to a database for storage.
4. The elderly living alone accidental linkage control early warning method as claimed in claim 3, wherein the specific process of establishing the algorithm model comprises:
establishing a first MR model, combining all data of a class of call tickets of a single user in multiple dimensions, and generating a data block related to the user; based on the combined data blocks, extracting user attributes, counting article behavior characteristics, generating various labels related to the user individuals, and obtaining individual analysis parameters;
establishing a second MR model, and calculating the global parameters of the call ticket data file;
and establishing a third MR model, performing final data mining according to the individual analysis parameters and the global parameters, describing the user portrait according to a mining result, and outputting a user label.
5. The elderly living alone accidental occurrence linkage control early warning method according to claim 1, further comprising: and when the state of the intelligent household equipment in the house where the owner is located is detected to change, sending preset information data to the user terminal.
6. The elderly living alone accidental occurrence linkage control early warning method according to claim 1, further comprising: and acquiring a control instruction sent by the user terminal, and controlling the intelligent household equipment in the house where the owner is located to execute an instruction action corresponding to the control instruction.
7. The utility model provides a solitary old man accident takes place coordinated control early warning system which characterized in that includes:
the learning analysis module is used for acquiring the use data of the intelligent household equipment, and performing learning analysis according to the use data to obtain a user portrait;
the data early warning module is used for detecting real-time use data of intelligent home equipment in a house where the old people living alone are located in real time, and triggering an early warning signal when the real-time use data is not consistent with the threshold value comparison of the user portrait;
the activity track module is used for searching through a community video file stored in a community management system after triggering an early warning signal to obtain the activity track of the solitary old people;
the information sending module is used for judging the time of the activity track, determining that the solitary old people are in danger when the relevant activity track is not inquired in a preset time threshold value before and after the occurrence time of the early warning signal is judged, sending preset danger information to a user terminal of a guardian belonging to the solitary old people, and sending the preset danger information to the property management system so that property management personnel can rescue at home in time;
after triggering the early warning signal, look for through the community video file who stores in the community management system, obtain solitary old man's activity orbit specifically includes:
carrying out face recognition on the face features of the elderly living alone by a face snapshot technology, and reporting the face related data obtained by recognition to a storage edge end file system;
comparing the human faces in human face pictures acquired by a plurality of cameras and searching the personnel information same as the pictures;
and generating a personnel track analysis layer according to the geographical position information and the personnel occurrence time data acquired by the plurality of cameras.
8. A computer-readable storage medium, characterized in that the computer-readable storage medium comprises a stored computer program; the computer program controls equipment where the computer readable storage medium is located to execute the linkage control early warning method for the accidental occurrence of the solitary old people according to any one of claims 1 to 6 when running.
9. A terminal device comprising a processor, a memory, and a computer program stored in the memory and configured to be executed by the processor, wherein the processor implements the coordinated control early warning method for the accidental occurrence of solitary old people according to any one of claims 1 to 6 when executing the computer program.
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| CN111985401A (en) * | 2020-08-20 | 2020-11-24 | 重庆中科云从科技有限公司 | Area monitoring method, system, machine readable medium and equipment |
| CN112489367A (en) * | 2020-11-13 | 2021-03-12 | 北京软通智慧城市科技有限公司 | Method, device, equipment and storage medium for monitoring solitary old people |
| FR3116639B1 (en) * | 2020-11-20 | 2023-06-30 | Orange | Method for estimating the consistency of the circadian rhythms of individuals from their telephone call reports |
| CN112750276B (en) * | 2020-12-29 | 2023-07-04 | 杭州拓深科技有限公司 | Elderly person living alone nursing method and system based on electric equipment identification |
| CN113158783B (en) * | 2021-03-10 | 2022-11-18 | 重庆特斯联智慧科技股份有限公司 | Community resident health monitoring method and system based on human body recognition |
| CN113311718B (en) * | 2021-04-30 | 2022-09-02 | 青岛海尔空调器有限总公司 | Safety monitoring method and device for household electrical appliance and household electrical appliance |
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