CN110648499A - Safety early warning method for community old people and computer storage medium - Google Patents
Safety early warning method for community old people and computer storage medium Download PDFInfo
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- CN110648499A CN110648499A CN201910632071.6A CN201910632071A CN110648499A CN 110648499 A CN110648499 A CN 110648499A CN 201910632071 A CN201910632071 A CN 201910632071A CN 110648499 A CN110648499 A CN 110648499A
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- G—PHYSICS
- 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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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q50/00—Systems or methods specially adapted for specific business sectors, e.g. utilities or tourism
- G06Q50/10—Services
- G06Q50/26—Government or public services
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L67/00—Network arrangements or protocols for supporting network services or applications
- H04L67/01—Protocols
- H04L67/06—Protocols specially adapted for file transfer, e.g. file transfer protocol [FTP]
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L67/00—Network arrangements or protocols for supporting network services or applications
- H04L67/01—Protocols
- H04L67/12—Protocols specially adapted for proprietary or special-purpose networking environments, e.g. medical networks, sensor networks, networks in vehicles or remote metering networks
- H04L67/125—Protocols specially adapted for proprietary or special-purpose networking environments, e.g. medical networks, sensor networks, networks in vehicles or remote metering networks involving control of end-device applications over a network
Abstract
The embodiment of the invention provides a safety early warning method for old people in a community, which comprises the steps that a community terminal acquires characteristic data of the old people and uploads the characteristic data to a cloud, and the cloud takes the characteristic data as a monitoring object and sets a monitoring program; the mobile phone client collects the characteristic data of the old people, sends the characteristic data to the cloud for comparison and verification, and then the cloud adds directional users in a monitoring program; the community terminal records the community access condition of the old people and interacts with the cloud terminal to complete the cloud terminal real-time data updating; and the cloud monitoring program carries out real-time early warning calculation on the access condition of the old people, and sends early warning information to the directional user once the calculated value exceeds a threshold value. The old man of effectual management and control meets with dangerous phenomenon such as danger or getting lost, does not make in time to remind its relatives on the basis that the old man does not go further away, has improved the safety index of the old man resident family in community.
Description
Technical Field
The embodiment of the invention relates to the field of data monitoring, in particular to a safety early warning method for community old people, computer equipment and a computer storage medium
Background
The intelligent community is a new idea of community management and is a new mode of current social management innovation. The intelligent community is integrated by fully utilizing new-generation information technologies such as internet of things, cloud computing and mobile internet, and provides a safe, comfortable and convenient modernized and intelligent living environment for community residents, so that a new management form community based on information intelligent social management and service integration is formed.
Along with the aggravation of the aging of China, the living safety problem of the old people is not quite remarkable, many old people are prone to getting lost and other dangerous conditions due to the memory decline phenomenon accompanied by the aging, the old people cannot be helped quickly due to the fact that the step of looking for the old people through the alarm in the existing means lasts too long, the prevention is not better than the treatment of the symptoms and the root causes, and if the related dangerous events of the old people, such as the long-term and non-return of the old people, can be reminded in time, the probability of dangerous accidents of the old people is greatly reduced.
Disclosure of Invention
Based on the idea of an intelligent community, in order to solve the problems, the embodiment of the invention provides a safety early warning method for the old people in the community, which comprises the following steps:
the method comprises the steps that a community terminal obtains characteristic data of the old people and uploads the characteristic data to a cloud, and the cloud takes the characteristic data as a monitoring object and sets a monitoring program;
the mobile phone client collects the characteristic data of the old people, sends the characteristic data to the cloud for comparison and verification, and then the cloud adds directional users in a monitoring program;
the community terminal records the community access condition of the old people and interacts with the cloud terminal to complete real-time data updating;
and the cloud monitoring program carries out real-time early warning calculation on the access condition of the old people, and sends early warning information to the directional user once the calculated value exceeds a threshold value.
Preferably, the characteristic data of the elderly people comprises fingerprint data and/or face data of the elderly people.
Preferably, the community terminal acquires the feature data and uploads the feature data to a cloud, and the step of setting the monitoring program for the cloud comprises:
the community terminal acquires the characteristic data of the old people, adds a cascaded monitoring label and packages the monitoring label into an uploading data packet;
and the cloud end receives and analyzes the data packet, and starts a monitoring program for the aged people object according to the monitoring label in the data packet.
Preferably, the step of adding the directional user in the monitoring program by the cloud includes:
the cloud verifies the old people feature data uploaded together with the mobile phone client information analysis, verifies and compares the old people feature data with the old people feature data uploaded by the community terminal, and if the old people feature data are the same, the verification is passed;
and after the verification is passed, the cloud adds a corresponding instruction segment in the monitoring program, wherein the instruction segment is used for sending the early warning information to the directional user.
Preferably, the step of recording the community access situation of the old people and interacting with the cloud terminal to complete real-time data update by the community terminal comprises:
the community terminal records the community access condition of the old people;
the cloud terminal regularly pulls community access data corresponding to the old people to the community terminal, and old people access record information stored by the cloud terminal is replaced.
Preferably, the step of the community terminal recording the community entrance and exit condition of the elderly person includes:
the method comprises the steps that a community terminal instantly collects face feature data of the old people, compares the face feature data with old people feature data collected in advance, and adds a time field segment in monitoring text data corresponding to the old people according to instant clock information to represent the access condition of the old people if the face feature data passes the comparison.
Preferably, the community terminal instantly collects the face feature data of the old people, and the step of comparing the face feature data with the pre-collected face feature data of the old people comprises the following steps:
the community terminal acquires a face image of the old through an external camera, background elements are removed, and only face elements are reserved;
analyzing the face elements according to a prefabricated training model to obtain face feature vectors;
and comparing the face feature vector with the pre-collected feature data of the old people, and further judging whether the old people are the monitoring object.
In order to achieve the above object, an embodiment of the present invention further provides a computer device, a memory of the computer device, a processor, and a computer program stored in the memory and being executable on the processor, where the computer program, when executed by the processor, implements the steps of the security early warning method for the elderly people in the community.
In order to achieve the above object, an embodiment of the present invention further provides a computer-readable storage medium, where a computer program is stored in the computer-readable storage medium, and the computer program is executable by at least one processor, so that the at least one processor executes the steps of the security early warning method for the elderly people in the community.
According to the early warning method for the old people in the community, provided by the embodiment of the invention, when the old people do not return to the community for a certain time, the old people can be reminded of their family by sending the message in time, so that the probability of the old people suffering from dangerous accidents is reduced, and the message also contains the detailed access record of the old people, such as the information of the old people going out from the south of the community for the last time, so that rescue personnel can rapidly and fuzzily locate the old people, and the search and rescue time is further reduced.
Drawings
FIG. 1 is a flowchart illustrating steps of a security early warning method for the elderly in the community according to an embodiment of the present invention;
fig. 2 is a schematic flowchart of step S100 in the security early warning method for the elderly people in the community according to the embodiment of the present invention;
fig. 3 is a schematic flowchart of step S200 in the security early warning method for the elderly people in the community according to the embodiment of the present invention;
fig. 4 is a flowchart illustrating a step S300 in the security early warning method for the elderly people in the community according to an embodiment of the present invention;
fig. 5 is a flowchart illustrating a step S310 in the security early warning method for the elderly people in the community according to an embodiment of the present invention;
fig. 6 is a flowchart illustrating the step S310A in the method for security early warning of the elderly people in the community according to the embodiment of the present invention;
FIG. 7 is a schematic diagram of program modules of a community elderly people safety early warning system according to an embodiment of the present invention;
FIG. 8 is a diagram illustrating a hardware structure of a computer device according to an embodiment of the present invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the present invention more apparent, the present invention is described in further detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative of the invention and are not intended to limit the invention. 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.
The terminology used in the embodiments of the invention is for the purpose of describing particular embodiments only and is not intended to be limiting of the invention. As used in the examples of the present invention and the appended claims, the singular forms "a," "an," and "the" are intended to include the plural forms as well, unless the context clearly indicates otherwise.
It should be understood that the term "and/or" as used herein is merely one type of association that describes an associated object, meaning that three relationships may exist, e.g., a and/or B may mean: a exists alone, A and B exist simultaneously, and B exists alone. In addition, the character "/" herein generally indicates that the former and latter related objects are in an "or" relationship.
It should be understood that although the terms first, second, etc. may be used to describe the designated key in embodiments of the present invention, the designated key should not be limited to these terms. These terms are only used to distinguish specified keywords from each other. For example, the first specified keyword may also be referred to as the second specified keyword, and similarly, the second specified keyword may also be referred to as the first specified keyword, without departing from the scope of embodiments of the present invention.
The word "if" as used herein may be interpreted as referring to "at … …" or "when … …" or "corresponding to a determination" or "in response to a detection", depending on the context. Similarly, the phrase "if determined" or "if detected (a stated condition or time)" may be interpreted as "when determined" or "in response to a determination" or "when detected (a stated condition or event)" or "in response to a detection (a stated condition or event)", depending on the context.
Referring to fig. 1, an embodiment of the present invention provides a security early warning method for the elderly people in the community, where the method includes:
s100, the community terminal acquires the characteristic data of the old people and uploads the characteristic data to the cloud, and the cloud takes the characteristic data as a monitoring object and sets a monitoring program
Specifically, the community terminal is community verification equipment, the community verification equipment comprises a network module, a feature acquisition module, a verification module and a memory, the network module is used for communicating with a cloud server connected with the community verification equipment, the feature acquisition module is used for acquiring community household features and sending feature data to the verification module, the verification module compares the feature data with pre-stored verification features and the memory is used for storing the collected verification household features for verification.
Because the volume, size, addition of a built-in function module and other settings of the community verification equipment are changed according to the consideration factors such as actual design requirements, cost and the like, the invention is not limited herein.
In addition, the community verification device is also provided with a setting mode corresponding to the community old man early warning provided by the invention, and is preset in the BIOS of the device by technical personnel when the device leaves a factory. The setting mode is used for generating archive information of the old people with the first recording characteristic, and the archive information can also be called as verification reference data for subsequent household identification.
Exemplarily, the old man Zhang san, due to the serious memory decline phenomenon, often appears the outer labyrinth phenomenon of cell, and needs to bring the lost labyrinth phenomenon into the monitored object, then the community property manager tunes the community terminal at the cell gate into the set mode, and under the set mode, the community terminal collects the old man characteristic data through each sensor, generates the archive data to record, and uploads the archive data to the connected cloud server.
The format of the archive data may be that the name of the old man, "zhang san" is set as an object, a class, a main key, etc., and the image data or other feature data of the old man, etc., are stored as the associated item of zhang san according to different operating systems or software forms, where the following table is an exemplary storage form:
TABLE 1
The above exemplary storage form is associated and stored in a form and path combination form, where "C: \ \ face.jpg" is a storage path of a face image, and according to a habitual representation form of an existing system, a form representation of an absolute path using "C: \ \ face.jpg" may also be used.
According to the size of the storage space, data of the old people serving as a monitored object can be stored in the community terminal, and is not stored in the community terminal, but is stored only in the cloud, and each time the community terminal performs a verification step, the cloud interface is called to pull the data to the cloud interface to store an internal memory, which is not limited in the invention.
Subsequently, the community terminal uploads the characteristic data of the old people to the cloud, the cloud sets the old people as a monitoring object and gives a monitoring program to the monitoring object, specifically, when the community terminal uploads the characteristic data of the old people, a label field is given to an uploading data packet, and the label is identified by the cloud so that the data object is known as a monitoring object.
Step S200, a mobile phone client collects feature data of the old people, sends the feature data to the cloud for comparison and verification, and then the cloud adds directional users in a monitoring program.
In consideration of safety, the scheme that the community terminal uploads the related family mobile phone number or a paging mode is not adopted, but a mobile phone client is adopted to collect the characteristic data of the old people and send the characteristic data to the cloud for comparison and verification so as to add a directional user, so that the situation that a property manager fills the related number into the related number by using the convenience of the job instead of monitoring the mobile phone number of the family of the old people is mainly avoided, and the safety of implementation of the whole scheme is improved.
The cloud end receives the characteristic data of the old people uploaded by the client end, searches and compares the characteristic data with a large database stored in the cloud end, further identifies the object of the old people, adds the mobile phone number bound by the uploading client end in the association of the object of the old people, and stores the mobile phone number as the number of the relatives of the old people.
And S300, the community terminal records the community entrance and exit condition of the old people and interacts with the cloud terminal to complete real-time data updating.
When the old people get in and out of the gate of the community, the gate needs the community terminal to verify that the identity can be opened, so that the old people can pass through the verification step every time when getting in and out of the community, and after the identity information of the old people is verified, the community terminal stores the verification information as the access condition of the old people community and uploads the verification information to the cloud so as to update the cloud data.
And S400, carrying out real-time early warning calculation on the access condition of the old people by the cloud monitoring program, and sending early warning information to the directional user once the calculated value exceeds a threshold value.
Specifically, the cloud monitoring program can perform timing operation on the old people serving as a monitoring object, the latest recorded time of the old people in and out of the records is used as an initial calculation point, timing operation is started, and once the accumulated timing value exceeds a preset threshold value, the cloud sends a related early warning message to the number of the contact of the relative members in the association of the old people.
According to the early warning method for the old people in the community, the characteristic data of the old people are collected and uploaded to the cloud terminal through the setting mode of the community terminal, the monitoring labels are added into the uploaded data packet, the cloud terminal identifies the old people as the monitoring object, the monitoring program is set for the old people, the monitoring program carries out real-time early warning calculation on the access records of the old people, once the calculated value exceeds the set threshold value, a paging message is sent to the mobile phone number of the relatives of the old people, the condition that the monitoring object of the family is not returned for a certain time is reminded, the old people are effectively controlled to suffer from dangerous phenomena such as danger or lost and the like, on the basis that the old people do not go far, the relatives of the old people are reminded in time, and the safety index of residents of the.
Further, the characteristic data of the old people comprises fingerprint data and/or face data of the old people.
Specifically, the terminal of community can contain external camera and be used for gathering the sensor of fingerprint, and external camera is used for gathering face image and transmits to processing unit and then draws old man's face characteristic, and the sensor is used for gathering old man's fingerprint data, and the old man can open the gate according to the fingerprint through fingerprint sensor when passing in and out the gate of community, also can pass through face verification, waits for the terminal of community to scan the face of old man and accomplishes the resident identification and open the gate of community.
Further, referring to fig. 2, the step S100 of recording the community entrance and exit condition of the elderly by the community terminal and interacting with the cloud to complete real-time data update includes:
step S110, the community terminal acquires the characteristic data of the old people, adds a cascaded monitoring label and packages the monitoring label into an uploading data packet.
And S120, the cloud end receives and analyzes the data packet, and a monitoring program is started for the aged people object according to the monitoring label in the data packet.
Exemplary, reference is made to the following table:
| 0～ | header file | |
| 20～60bit | Check bit | |
| 60～315bit | Effective content | |
| 315～320bit | 0x001 |
The table above is only an exemplary reference, in a data packet containing characteristics of the elderly uploaded by the community terminal, "0 x 001" is added as an identification label of a monitoring object after an effective content field, wherein "0 x 001" is only an exemplary representation, and can be represented in any other form, when the cloud receives data and analyzes a data packet file, whether an object in the uploaded content is an object to be monitored is further identified according to whether the object contains "0 x 001", and if the object is the monitoring object, a monitoring thread is established for the object to perform real-time early warning calculation.
In addition, the cloud also needs to preset the definition of the corresponding monitoring label, and when the community terminal uploads the data packet, the cloud can effectively identify whether the object corresponding to the data packet is the monitoring object. Because the community resident crowd includes children, adults or old people, and the adults have certain physical ability, and generally the adults do not need monitoring protection, therefore, the endowment of monitoring label can carry out selective object monitoring, and then reduces the computing resource occupation of high in the clouds or community terminal.
Further, referring to fig. 3, in step S200, the step of acquiring the feature data of the elderly by the mobile phone client, sending the feature data to the cloud for comparison and verification, and adding a directional user in the monitoring program by the cloud includes:
step S210, the cloud verifies the feature data of the elderly people uploaded together with the mobile phone client information analysis, compares the feature data with the feature data of the elderly people uploaded by the community terminal, and if the feature data of the elderly people are the same, the verification is passed.
In the above-mentioned content, in order to improve the security, the invention does not adopt a scheme that a community terminal uploads a related family mobile phone number or a paging mode, but adopts a mobile phone client to collect and upload the characteristic data of the old people, the cloud receives the data sent by the client and compares the data with the data of the old people uploaded by the community terminal, and certainly, the cloud does not only store the data of one monitoring object, so that the cloud traverses the characteristic set in the storage library and compares the characteristic set one by one, and when the object with the passing contrast passes, the cloud judges that the verification passes.
Step S220, after the verification is passed, the cloud adds a corresponding instruction segment in the monitoring program, and the instruction segment is used for sending the early warning information to the directional user.
After the verification is passed, the cloud adds a corresponding instruction segment to the monitoring program set by the monitoring object, so that early warning information possibly generated by subsequent early warning real-time calculation is sent to a directional user, and the directional user is a client user uploading feature data of the old people, namely a family of the old people.
Wherein, the instruction section is that technical staff sets up in advance and accomplishes for with early warning information transmission to old man's relatives, the exemplary as follows:
send message to "relatives 1"
Message as "go-in and go-out record, please pay attention to"
The instruction segment is added to the tail of the monitoring program code as a final step, and may also be used as another program to continue and monitor the program.
Further, referring to fig. 4, the step S300 of recording, by the community terminal, the community entrance and exit condition of the elderly people and interacting with the cloud to complete real-time data update includes:
step S310, the community terminal records the community entrance and exit conditions of the old people;
step S320, the cloud terminal pulls community access data corresponding to the old people to the community terminal at regular time, and old people access record information stored by the cloud terminal is replaced.
Specifically, except that the community terminal mentioned in the foregoing content actively uploads the access record information of the old people, the cloud terminal can be set to call a community terminal interface for a certain time to pull the access record of the old people, and corresponding records stored by the cloud terminal are updated.
Further, referring to fig. 5, the step S310 of recording the community entrance and exit condition of the elderly by the community terminal further includes:
step S310A, the community terminal instantly collects the face feature data of the old people and compares the face feature data with the old people feature data collected in advance;
if the comparison is passed, in step S310B, according to the instant clock information, adding a time field segment to the corresponding monitoring text data of the old man to represent the access condition of the old man
For the comparison step S310A of the face feature data, the following embodiments are exemplarily provided:
reading face static picture of old people shot immediately
Detecting face regions using Haar classifiers
Searching 68 characteristic points by using the trained model
Saving the coordinates of 68 feature points into a txt file
The following is an illustrative example written in C + +:
lichao:1
Points:68
(61.5149,124.076)
(61.1954,141.526)
(63.4041,129.403)
(67.9898,116.943)
(75.983,213.934)
(85.5157,234.763)
correspondingly, the pre-collected characteristic data of the old people are calculated in the steps to obtain a second group of coordinate-value sets, the first group of sets and the second group of sets are compared, and if the matching degree is larger than 90, the comparison is judged to be passed.
After the comparison step is passed, the clock information is called, and the time field is added to the monitoring text data corresponding to the old, as an example:
monitored object Zhang III "
10:36 south door
11:50 North door (newly added)
Further, referring to fig. 6, step S310A further includes:
step S310A-1, the community terminal acquires the face image of the old through an external camera, eliminates background elements and only retains face elements;
step S310A-2, analyzing the face elements according to a prefabricated training model to obtain face feature vectors;
step S310A-3 compares the face feature vector with pre-collected feature data of the elderly person, and further determines whether the elderly person is a monitored object.
Further, referring to fig. 7, step S400 further includes:
step S410, the monitoring program is provided with a clock thread, the clock thread takes the latest access recording time of the old as a calculation initial value, and numerical value accumulation is started until the numerical value exceeds a preset threshold value;
in step S420, once the calculated value exceeds the threshold, the cloud sends a paging message to the directional user mobile phone client, and the mobile phone client receives the paging message, calls an audio device in the mobile phone to perform broadcast warning, and displays the old man entering and exiting record information contained in the paging message through a screen.
The invention also provides a security early warning system for the old people in the community, which consists of a community terminal, a cloud server and a mobile phone client, wherein the community terminal comprises the following components:
an obtaining module 100, configured to obtain feature data of the elderly person and upload the feature data to a cloud,
the updating module 200 is used for recording the community entrance and exit conditions of the old people and interacting with the cloud terminal to complete real-time data updating;
a recording module 300, configured to record the community entrance and exit situation of the elderly and interact with the cloud to complete real-time data update
The cloud server comprises the following components:
the monitoring setting module 400 is used for receiving the feature data of the old people uploaded by the community terminal, taking the old people as a monitoring object and setting a monitoring program;
and the early warning module 500 is used for performing real-time early warning calculation on the access condition of the old people and sending early warning information to the directional user once the calculated value exceeds a threshold value.
An add item module 600 for adding a directional user in the monitoring program.
The mobile phone client comprises the following components:
the acquisition module 700 is used for acquiring the characteristic data of the old people and sending the characteristic data to the cloud for comparison and verification.
Further, the feature data of the elderly people acquired by the acquisition module 100 includes fingerprint data and/or face data of the elderly people.
Further, the obtaining module 100 and the monitoring setting module 400 are further configured to:
the community terminal acquires the characteristic data of the old people, adds a cascaded monitoring label and packages the monitoring label into an uploading data packet;
and the cloud end receives and analyzes the data packet, and starts a monitoring program for the aged people object according to the monitoring label in the data packet.
Further, the monitoring setting module 400 is further configured to:
the cloud verifies the old people feature data uploaded together with the mobile phone client information analysis, verifies and compares the old people feature data with the old people feature data uploaded by the community terminal, and if the old people feature data are the same, the verification is passed;
and after the verification is passed, the cloud adds a corresponding instruction segment in the monitoring program, wherein the instruction segment is used for sending the early warning information to the directional user.
Further, the recording module 300 is further configured to:
the community terminal records the community access condition of the old people;
the cloud terminal regularly pulls community access data corresponding to the old people to the community terminal, and old people access record information stored by the cloud terminal is replaced.
Further, the recording module 300 is further configured to:
the method comprises the steps that a community terminal instantly collects face feature data of the old people, compares the face feature data with old people feature data collected in advance, and adds a time field segment in monitoring text data corresponding to the old people according to instant clock information to represent the access condition of the old people if the face feature data passes the comparison.
Further, the recording module 300 is further configured to:
the community terminal acquires a face image of the old through an external camera, background elements are removed, and only face elements are reserved;
analyzing the face elements according to a prefabricated training model to obtain face feature vectors;
and comparing the face feature vector with the pre-collected feature data of the old people, and further judging whether the old people are the monitoring object.
Fig. 8 is a schematic diagram of a hardware architecture of a computer device according to an embodiment of the present invention. In the present embodiment, the computer device 2 is a device capable of automatically performing numerical calculation and/or information processing in accordance with a preset or stored instruction. The computer device 2 may be a rack server, a blade server, a tower server or a rack server (including an independent server or a server cluster composed of a plurality of servers), and the like. As shown, the computer device 2 includes, but is not limited to, at least a memory 21, a processor 22, a network interface 23, and a community elderly warning system 20, which may be communicatively coupled to each other via a system bus. Wherein:
in this embodiment, the memory 21 includes at least one type of computer-readable storage medium including a flash memory, a hard disk, a multimedia card, a card-type memory (e.g., SD or DX memory, etc.), a Random Access Memory (RAM), a Static Random Access Memory (SRAM), a Read Only Memory (ROM), an Electrically Erasable Programmable Read Only Memory (EEPROM), a Programmable Read Only Memory (PROM), a magnetic memory, a magnetic disk, an optical disk, and the like. In some embodiments, the storage 21 may be an internal storage unit of the computer device 2, such as a hard disk or a memory of the computer device 2. In other embodiments, the memory 21 may also be an external storage device of the computer device 2, such as a plug-in hard disk, a Smart Media Card (SMC), a Secure Digital (SD) Card, a Flash memory Card (Flash Card), or the like provided on the computer device 2. Of course, the memory 21 may also comprise both internal and external memory units of the computer device 2. In this embodiment, the memory 21 is generally used for storing an operating system installed in the computer device 2 and various application software, such as program codes of the security early warning system 20 for the elderly in the community. Further, the memory 21 may also be used to temporarily store various types of data that have been output or are to be output.
The network interface 23 may comprise a wireless network interface or a wired network interface, and the network interface 23 is generally used for establishing communication connection between the computer device 2 and other electronic apparatuses. For example, the network interface 23 is used to connect the computer device 2 to an external terminal through a network, establish a data transmission channel and a communication connection between the computer device 2 and the external terminal, and the like. The network may be a wireless or wired network such as an Intranet (Intranet), the Internet (Internet), a Global System of Mobile communication (GSM), Wideband Code Division Multiple Access (WCDMA), a 4G network, a 5G network, Bluetooth (Bluetooth), Wi-Fi, and the like.
It is noted that fig. 5 only shows the computer device 2 with components 20-23, but it is to be understood that not all shown components are required to be implemented, and that more or less components may be implemented instead.
In this embodiment, the security precaution system 20 of the elderly community stored in the memory 21 may be further divided into one or more program modules, and the one or more program modules are stored in the memory 21 and executed by one or more processors (in this embodiment, the processor 22) to complete the present invention. The program module referred to in the present invention refers to a series of computer program instruction segments capable of performing specific functions, and is more suitable for describing the execution process of the security early warning system 20 for the elderly people in the community in the computer device 2 than a program. The specific functions of the program modules have been described in detail, and are not described herein again.
EXAMPLE III
The present embodiment also provides a computer-readable storage medium, such as a flash memory, a hard disk, a multimedia card, a card-type memory (e.g., SD or DX memory, etc.), a Random Access Memory (RAM), a Static Random Access Memory (SRAM), a read-only memory (ROM), an electrically erasable programmable read-only memory (EEPROM), a programmable read-only memory (PROM), a magnetic memory, a magnetic disk, an optical disk, a server, an App application mall, etc., on which a computer program is stored, which when executed by a processor implements corresponding functions. The computer-readable storage medium of the embodiment is used for storing the security early warning system 20 for the elderly people in the community, and the security early warning method for the elderly people in the community is realized when the computer-readable storage medium is executed by a processor.
Claims (10)
1. A safety early warning method for the old people in the community is characterized by comprising the following steps:
the method comprises the steps that a community terminal obtains characteristic data of the old people and uploads the characteristic data to a cloud, and the cloud takes the characteristic data as a monitoring object and sets a monitoring program;
the mobile phone client collects the characteristic data of the old people, sends the characteristic data to the cloud for comparison and verification, and then the cloud adds directional users in a monitoring program;
the community terminal records the community access condition of the old people and interacts with the cloud terminal to complete the cloud terminal real-time data updating;
and the cloud monitoring program carries out real-time early warning calculation on the access condition of the old people, and sends early warning information to the directional user once the calculated value exceeds a threshold value.
2. The community elderly safety precaution method according to claim 1, wherein the elderly characteristic data comprises fingerprint data and/or face data of the elderly.
3. The safety early warning method for the elderly people in the community according to claim 1, wherein the community terminal acquires the characteristic data and uploads the characteristic data to a cloud, and the step of setting the monitoring program for the cloud comprises the following steps:
the community terminal acquires the characteristic data of the old people, adds a cascaded monitoring label and packages the monitoring label into an uploading data packet;
and the cloud end receives and analyzes the data packet, and starts a monitoring program for the aged people object according to the monitoring label in the data packet.
4. The community elderly safety precaution method according to claim 1, wherein the step of adding directional users to the monitoring program by the cloud comprises:
the cloud verifies the old people feature data uploaded together with the mobile phone client information analysis, verifies and compares the old people feature data with the old people feature data uploaded by the community terminal, and if the old people feature data are the same, the verification is passed;
and after the verification is passed, the cloud adds a corresponding instruction segment in the monitoring program, wherein the instruction segment is used for sending the early warning information to the directional user.
5. The community elderly safety precaution method according to claim 1, wherein the step of the community terminal recording the community entrance and exit condition of the elderly and interacting with the cloud to complete real-time data update comprises:
the community terminal records the community access condition of the old people;
the cloud terminal regularly pulls community access data corresponding to the old people to the community terminal, and old people access record information stored by the cloud terminal is replaced.
6. The community elderly safety precaution method according to claim 1, wherein the step of the community terminal recording the community entrance and exit condition of the elderly comprises:
the community terminal instantly collects face feature data of the old people and compares the face feature data with the old people feature data collected in advance;
and if the comparison is passed, adding a time field segment to the corresponding monitoring text data of the old man according to the instant clock information to represent the access condition of the old man.
7. The community elderly safety precaution method according to claim 6, wherein the community terminal instantly collects the elderly face feature data and compares the data with the pre-collected elderly face feature data, comprising:
the community terminal acquires a face image of the old through an external camera, background elements are removed, and only face elements are reserved;
analyzing the face elements according to a prefabricated training model to obtain face feature vectors;
and comparing the face feature vector with the pre-collected feature data of the old people, and further judging whether the old people are the monitoring object.
8. The community elderly people safety precaution method according to claim 1, wherein the cloud monitor performs real-time precaution calculation on the access situation of the elderly people, and once the calculated value exceeds a threshold value, the step of sending precaution information to the directional user includes:
the monitoring program is provided with a clock thread, and the clock thread starts to accumulate numerical values by taking the latest access recording time of the old people as a calculation initial value until the numerical values exceed a preset threshold value;
once the calculated value exceeds the threshold value, the cloud sends a paging message to a mobile phone client of the directional user, the mobile phone client receives the paging message, calls an audio device in the mobile phone to perform broadcast warning, and displays the old people entering and exiting record information contained in the paging message through a screen.
9. A computer device having a memory, a processor and a computer program stored on the memory and executable on the processor, wherein the computer program when executed by the processor implements the steps of the method for security pre-warning of elderly people in communities as claimed in any of claims 1 to 7.
10. A computer-readable storage medium, having stored thereon a computer program which is executable by at least one processor to cause the at least one processor to perform the steps of the method for security pre-warning of community elderly as claimed in any of claims 1 to 7.
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