CN112309076A

CN112309076A - Low-power-consumption abnormal activity monitoring and early warning method, device and system

Info

Publication number: CN112309076A
Application number: CN202011155282.4A
Authority: CN
Inventors: 张明; 关磊
Original assignee: Beijing Babel Technology Co ltd
Current assignee: Beijing Babel Technology Co ltd
Priority date: 2020-10-26
Filing date: 2020-10-26
Publication date: 2021-02-02

Abstract

The application relates to a low-power consumption abnormal activity monitoring and early warning method, device and system, wherein the method comprises the steps of monitoring the behavior of a user through a preset monitoring device, and only keeping a low-power consumption monitoring mode when the user has no abnormal behavior; when abnormal behaviors are found, recording the voice of a user, carrying out early warning through a preset warning device, and uploading the recorded voice data to a cloud end for analysis by the cloud end; the cloud carries out voiceprint identification and event analysis on the data to obtain user behavior and emotion analysis data, behaviors and emotions of a user are accurately monitored, corresponding storage can be carried out after the data are uploaded to the cloud, tracing in the later period can be facilitated, and the problems that in the prior art, the detection content of a safety precaution system cannot accurately reflect actual conditions in real time and follow-up tracing cannot be carried out are solved.

Description

Low-power-consumption abnormal activity monitoring and early warning method, device and system

Technical Field

The application relates to the technical field of personal safety protection, in particular to a low-power-consumption abnormal activity monitoring and early warning method, device and system.

Background

A Security and Protection System (SPS) security & protection system aims at maintaining social public safety, and an intrusion alarm system, a video security and protection monitoring system, an access control system, a BSV liquid crystal splicing wall system, an access control fire protection system, an explosion-proof safety inspection system and the like which are formed by security and protection products and other related products are applied; or an electronic system or network of subsystems combined or integrated by these systems.

However, the conventional security devices are large-scale devices, and even the latest portable devices are large in size and low in sensitivity, and can only be used as conventional recorders and the like. Such as a recorder, a recording pen and the like, can only be used for long-time recording, and do not have rapid and accurate analysis capability and subsequent expansion.

Disclosure of Invention

The application provides a low-power consumption abnormal activity monitoring and early warning method, device and system, which are used for solving the problems that the existing safety precaution system is large in size, low in sensitivity, incapable of accurately reflecting actual conditions in real time through detection contents, incapable of conducting follow-up tracing and the like.

The above object of the present application is achieved by the following technical solutions:

in a first aspect, an embodiment of the present application provides a low-power consumption abnormal activity monitoring and early warning method, including:

monitoring the user behaviors and judging whether the user has abnormal behaviors or not; wherein, the monitoring content comprises the voice of the user;

recording the voice of the user when the user has abnormal behaviors;

and uploading the recorded data to a cloud end for analysis by the cloud end.

Optionally, the monitoring content further includes a motion track of the user;

and when the motion trail of the user is abnormal, judging that the user has abnormal behaviors.

Optionally, the method further includes: when the user has abnormal behaviors, an alarm is given out through a preset alarm device.

Optionally, when recording the user's voice, the method further includes:

detecting whether new abnormal behaviors exist; if a new abnormal behavior exists, continuing recording; if no new abnormal behavior exists, stopping recording and continuing monitoring.

Optionally, uploading the recorded data to the cloud includes:

directly uploading the recorded data to a cloud end;

and transmitting the recorded data to preset communication equipment, and uploading the recorded data to a cloud end by the communication equipment.

Optionally, the processing of the data by the cloud end includes:

carrying out identity authentication through voiceprint recognition to obtain the voice of a user;

and carrying out comprehensive event analysis on the sound data and the motion trail of the user to obtain a behavior analysis result and an emotion analysis result of the user.

Optionally, the processing of the data by the cloud end further includes:

and prompting and alarming based on the emotion analysis result and the emotion analysis result.

In a second aspect, an embodiment of the present application provides a low-power consumption abnormal activity monitoring and early warning apparatus, which includes:

the system comprises a sound acquisition module, a path data acquisition module, a judgment control module, a sound recording module and a communication transmission module;

the voice acquisition module is used for acquiring voice data of a user;

the path data acquisition module is used for acquiring the motion path data of the user;

the judgment control module is used for judging whether abnormal behaviors exist or not based on the prime number sound data and the motion path data;

the sound recording module is used for recording the surrounding sound of the user;

the communication transmission module is used for transmitting the recorded data.

In a third aspect, an embodiment of the present application provides a low-power consumption abnormal activity monitoring and early warning system, including a monitoring device and a cloud server in communication connection with the monitoring device;

the monitoring equipment is used for monitoring the user behavior, judging whether the user has abnormal behavior or not, and recording the sound of the user when the user has the abnormal behavior;

the monitoring equipment is also used for uploading the recorded voice data of the user to the cloud server;

the cloud server is used for receiving the data sent by the monitoring equipment and analyzing the data;

the cloud server is further used for prompting and alarming based on the data analysis result.

Optionally, the charging communication device is further included;

the charging communication device is used for supplying power to the monitoring equipment;

the charging communication device is further used for receiving recording data sent by the monitoring equipment and transmitting the recording data to the cloud server.

The low-power-consumption abnormal activity monitoring and early warning method provided by the embodiment of the application has the following beneficial effects:

according to the technical scheme provided by the embodiment of the application, firstly, a preset wearing device is used for monitoring the behavior of a user, and when the user has no abnormal behavior, only a monitoring low-power-consumption standby mode is kept, so that the power consumption is reduced, and the electric quantity is saved; when abnormal behaviors are found, recording the voice of a user, early warning is carried out, and meanwhile recorded voice data are uploaded to the cloud end for analysis by the cloud end; the cloud carries out voiceprint identification and event analysis on the data, behavior and emotion analysis of the user are obtained, behavior and emotion of the user are accurately monitored, corresponding storage can be carried out after the data are uploaded to the cloud, tracing in the later period is facilitated, and the problems that in the prior art, the detection content of a safety precaution system cannot accurately reflect actual conditions and cannot be traced subsequently are solved.

It is to be understood that both the foregoing general description and the following detailed description are exemplary and explanatory only and are not restrictive of the application.

Drawings

The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments consistent with the present application and together with the description, serve to explain the principles of the application.

Fig. 1 is a schematic flowchart illustrating a low-power consumption abnormal activity monitoring and early warning method according to an embodiment of the present application;

fig. 2 is a schematic structural diagram of a low-power consumption abnormal activity monitoring and warning device according to an embodiment of the present application;

fig. 3 is a schematic structural diagram of a low-power consumption abnormal activity monitoring and early warning system according to an embodiment of the present application;

Detailed Description

Reference will now be made in detail to the exemplary embodiments, examples of which are illustrated in the accompanying drawings. When the following description refers to the accompanying drawings, like numbers in different drawings represent the same or similar elements unless otherwise indicated. The embodiments described in the following exemplary embodiments do not represent all embodiments consistent with the present application. Rather, they are merely examples of apparatus and methods consistent with certain aspects of the present application, as detailed in the appended claims.

First, an application scenario of the abnormal activity monitoring and early warning method, device and system provided by the embodiment of the application is described. In daily life, personal safety protection is needed for some special people, and monitoring and early warning are needed for abnormal activities, for example, children in a garden, because the children may not accurately express emotions and cannot seek help in time when emergencies occur, so that danger is caused; in addition, for the old people living alone and in relatively closed environments of living environments, the people cannot seek help in time when an emergency happens, on the other hand, for the single woman, the people are often in the environment of one person alone because of overtime at night and the like, and at the moment, if the people are in danger or other emergencies, the protection capability of the people is poor, and the people are very dangerous. Aiming at the situations, the application provides a low-power consumption abnormal activity monitoring and early warning method, device and system to solve corresponding problems.

Example (b):

referring to fig. 1, fig. 1 is a schematic flowchart illustrating a low-power consumption abnormal activity monitoring and early warning method according to an embodiment of the present application; fig. 1 shows an embodiment of the present application, which illustrates a low-power consumption abnormal activity monitoring and early warning method, including:

s101, monitoring the user behaviors and judging whether the user has abnormal behaviors or not; wherein, the monitoring content comprises the voice of the user;

specifically, users including children, the elderly and some single women, whose expression ability or environment is not easy to seek and obtain help, are monitored by a preset monitoring device, and in practical application, the monitored content includes the voice of the user, so that the user is monitored in real time, and whether the user has abnormal behaviors is judged based on the voice of the user; the abnormal behavior may include the use of some sensitive words, such as "life saving", and of course, the sensitive words may also be preset, including special words set for special circumstances.

Moreover, aiming at the monitoring of the abnormal behaviors, the user can send out preset words, sounds and the like when encountering an emergency by a method of informing in advance. For example, in daily life, children, teachers, single women, and the like may be notified in advance, and in the event of an emergency, a specific word or sound may be shout, and in the event that it is in the emergency, the word or sound may be shout directly to determine that there is an abnormal behavior of the user. At this moment, the trigger words or sounds can be set more secretly, so that the user can trigger the judgment of abnormal behaviors under the condition of ensuring the safety of the user.

It should be noted that the monitoring device may be configured for different application scenarios, such as a wearable device, a device frequently used by a user, such as a toy, a hairpin with a proper size, and the like. Generally, the wearable device can be made into a wearable device, so that the space is saved, the appearance beautification degree is increased, and the user can not influence the life of the user when using the wearable device. For convenience of description, the wearing device will be described below, but in practice, the monitoring device may be formed in other shapes as described above.

In practical application, when the abnormal behavior is judged, the judgment can be carried out by combining indexes such as the motion trail of the user. The preset wearing device is provided with the position sensor or other positioning devices, the movement track of the user is monitored, and the abnormal judgment can be carried out by combining the movement track difference of the user when the voice of the user is monitored and analyzed. For example, the child should be in the campus at the time point, and when the positioning device detects that the child has reached a position outside the campus, the child is judged whether the behavior is abnormal or not by combining with voice, so that whether the user has abnormal behavior or not is judged in multiple directions, and the monitoring accuracy is ensured.

S102, recording the voice of the user when the user has abnormal behaviors;

specifically, when the user is judged to have abnormal behaviors, the sound of the user is recorded through a preset wearing device. In order to ensure the detection accuracy and further analyze the abnormal behavior, when the abnormal behavior of the user is detected, the sound of the user needs to be recorded, the sound around the user is recorded for cloud processing and analysis, and the monitoring accuracy is improved.

In practical application, when the abnormal behavior of a user is detected, the preset wearing equipment can also detect whether the user is connected with the early warning accessory, and if the preset wearing equipment is connected with the early warning accessory, the user can perform early warning in a Bluetooth mode, a WIFI mode, a cellular network mode and the like; if no corresponding early warning accessory exists, only the recording of the voice of the user is carried out.

S103, uploading the recorded data to a cloud end for analysis by the cloud end;

specifically, wear equipment through predetermineeing and record the back to user's sound, the sound data that will record uploads to the high in the clouds, supplies the high in the clouds to carry out further analysis to user's unusual activity, and wherein, the processing of going on data includes: firstly, voiceprint identification is carried out on voice data through a preset voiceprint identification algorithm, and the voice of a user is determined. In practical application, a plurality of other related personnel may exist in the environment where the user is located, the recorded voice is firstly subjected to identity recognition at the cloud end to obtain the voice of the user, and then event analysis is performed on the voice data of the user to obtain behavior and emotion analysis of the user.

It should be noted that the manner of uploading the recorded data to the cloud may include multiple manners at the same time. The method comprises the step of uploading data to a cloud terminal by the wearing equipment. Moreover, in order to reduce the power consumption of the wearable device, in practical applications, the wearable device may transmit data to the cloud through another communication device. Specifically, the wearing equipment transmits the recorded data to a preset communication device in a close range or in a contact manner, and the communication device transmits the received recorded information in a remote range and uploads the information to a cloud end for processing by the cloud end. Through communication device's use, make data transmission's function realize on communication device, and wear equipment and only carry out direct data transmission with the high in the clouds under some special circumstances such as emergency burst state, so, can greatly reduced wear the consumption of equipment to the equipment is worn in the realization carries the user and carries out long-term protection.

It can be understood that after data processing is carried out at the cloud, data storage can be further achieved, so that long-time behavior and emotion recording of the protected object is achieved, and regular statistical form tracking is provided for growth of the protected object.

The embodiment of the application provides a low-power consumption abnormal activity monitoring and early warning method, monitors a user in a conventional activity environment of the user, judges whether the user has abnormal behaviors, records the sound of the user after the abnormal behaviors of the user are found, simultaneously alarms through a preset alarm device, uploads the recorded sound to a cloud end, the cloud end carries out event analysis, and behavior and emotion analysis data of the user are obtained. So, because when not taking place the anomaly, equipment is in standby monitoring state, and the consumption is very low, when taking place the anomaly, records through pronunciation and high in the clouds analysis, not only in time accurately reflects user's action mood to report to the police through presetting alarm device and high in the clouds under emergency, provide the protection to user's full aspect, still can provide the basis for follow-up tracing back simultaneously, realize protecting the long-term of the growth of protection object.

Further, the low-power-consumption abnormal activity monitoring and early warning method provided by the embodiment of the application further comprises the following steps: detecting whether a new abnormal behavior exists or not when the voice of the user is recorded; if a new abnormal behavior exists, continuing recording; if no new abnormal behavior exists, stopping recording and continuing monitoring.

Specifically, after the abnormal behavior of the user is found, the recording of the voice of the user is started, and the detection of the abnormal behavior is maintained while the recording of the voice of the user is performed. And when no new abnormal behavior is detected or the recording duration reaches a preset value in the recording process, closing the recording and recovering to a state of only monitoring and not recording. By detecting the new abnormal behavior in the recording process, the recording is closed in time when the new abnormal behavior does not appear, the recording effect is ensured, the power consumption is reduced, and the power consumption of the device and the recording of useless data caused by overlong recording process are avoided.

In addition, after receiving and processing data, the cloud end can send out reminding and early warning based on the processing result; the specific reminding and early warning mode can comprise that the mobile terminal connected with the cloud communication sends out reminding and early warning for related personnel to remotely receive the reminding and early warning, so that the abnormal behaviors of the user can be timely responded. The low-power-consumption abnormal activity monitoring and early warning method can achieve the purpose that a user can give an alarm by presetting outgoing equipment, can give an alarm remotely through the cloud, and can give an alarm in time in multiple directions and protect the user in all directions when the user has abnormal behaviors and needs to give an alarm.

Fig. 2 is a schematic structural diagram of a low-power consumption abnormal activity monitoring and warning device according to another embodiment of the present application, where the low-power consumption abnormal activity monitoring and warning device provided in this embodiment shown in fig. 2 includes: the system comprises a sound acquisition module, a path data acquisition module, a judgment control module, a sound recording module and a communication transmission module;

in practical application, the low-power-consumption abnormal activity monitoring and early warning device provided by the embodiment of the application can be in various shapes, such as badges, ornaments and the like, and can be made into various toys for children users.

The internal sound collection module is used for collecting the sound data of a user;

the judgment control module is used for respectively detecting the sound data and the motion path data through a preset abnormal sound algorithm and an abnormal behavior algorithm and judging whether the user has abnormal behavior; when the user has abnormal behavior, the voice recording module is started; and during the recording process, the detection of abnormal behavior is maintained.

The judgment control module is also used for judging whether a new abnormal behavior exists and the recording time length reaches the preset time length in the sound recording process, stopping recording and recovering the monitoring state when the new abnormal behavior is not found and the preset recording time length is reached.

furthermore, the low-power consumption abnormal activity monitoring and early warning device provided by the embodiment of the application can also be an alarm device, wherein the alarm device can be a self-contained low-power consumption abnormal activity monitoring and early warning device, and can also be a connected external alarm device, namely an outgoing alarm device.

It should be noted that the low-power consumption abnormal activity monitoring and early warning device shown in the embodiment of the present application can also be added with corresponding micro sensors according to actual needs, so as to realize the body parameter detection functions such as heart rate, combine the detected body parameter data with voice data, and analyze abnormal behaviors with the cloud. The content of abnormal behavior analysis by simply adding related sensors to detect body parameters also belongs to the protection scope of the application.

Fig. 3 is a schematic structural diagram of a low-power consumption abnormal activity monitoring and early warning system according to an embodiment of the present application; as shown in fig. 3, the low-power consumption abnormal activity monitoring and early warning system provided in the embodiment of the present application includes: monitoring equipment and a cloud server; wherein, the monitoring device can be a wearing device worn on the user.

the cloud server is further used for sending out prompts and alarms based on the data analysis results.

Furthermore, the low-power consumption abnormal activity monitoring and early warning system also comprises a charging communication device;

Specifically, the charging communication device may be a wireless charging device, such as a wireless charging socket, and when the monitoring device detects the charging communication device, the charging and data transmission functions are automatically performed.

It is understood that the same or similar parts in the above embodiments may be mutually referred to, and the same or similar parts in other embodiments may be referred to for the content which is not described in detail in some embodiments.

It should be noted that, in the description of the present application, the terms "first", "second", etc. are used for descriptive purposes only and are not to be construed as indicating or implying relative importance. Further, in the description of the present application, the meaning of "a plurality" means at least two unless otherwise specified.

Any process or method descriptions in flow charts or otherwise described herein may be understood as representing modules, segments, or portions of code which include one or more executable instructions for implementing specific logical functions or steps of the process, and the scope of the preferred embodiments of the present application includes other implementations in which functions may be executed out of order from that shown or discussed, including substantially concurrently or in reverse order, depending on the functionality involved, as would be understood by those reasonably skilled in the art of the present application.

It should be understood that portions of the present application may be implemented in hardware, software, firmware, or a combination thereof. In the above embodiments, the various steps or methods may be implemented in software or firmware stored in memory and executed by a suitable instruction execution system. For example, if implemented in hardware, as in another embodiment, any one or combination of the following techniques, which are known in the art, may be used: a discrete logic circuit having a logic gate circuit for implementing a logic function on a data signal, an application specific integrated circuit having an appropriate combinational logic gate circuit, a Programmable Gate Array (PGA), a Field Programmable Gate Array (FPGA), or the like.

It will be understood by those skilled in the art that all or part of the steps carried by the method for implementing the above embodiments may be implemented by hardware related to instructions of a program, which may be stored in a computer readable storage medium, and when the program is executed, the program includes one or a combination of the steps of the method embodiments.

In addition, functional units in the embodiments of the present application may be integrated into one processing module, or each unit may exist alone physically, or two or more units are integrated into one module. The integrated module can be realized in a hardware mode, and can also be realized in a software functional module mode. The integrated module, if implemented in the form of a software functional module and sold or used as a stand-alone product, may also be stored in a computer readable storage medium.

The storage medium mentioned above may be a read-only memory, a magnetic or optical disk, etc.

In the description herein, reference to the description of the term "one embodiment," "some embodiments," "an example," "a specific example," or "some examples," etc., means that a particular feature, structure, material, or characteristic described in connection with the embodiment or example is included in at least one embodiment or example of the application. In this specification, the schematic representations of the terms used above do not necessarily refer to the same embodiment or example. Furthermore, the particular features, structures, materials, or characteristics described may be combined in any suitable manner in any one or more embodiments or examples.

Although embodiments of the present application have been shown and described above, it is understood that the above embodiments are exemplary and should not be construed as limiting the present application, and that variations, modifications, substitutions and alterations may be made to the above embodiments by those of ordinary skill in the art within the scope of the present application.

Claims

1. A low-power consumption abnormal activity monitoring and early warning method is characterized by comprising the following steps:

recording the voice of the user when the user has abnormal behaviors;

and uploading the recorded data to a cloud end for analysis by the cloud end.

2. The low-power consumption abnormal activity monitoring and early warning method as claimed in claim 1, wherein the monitoring content further comprises a motion track of a user;

3. The low-power consumption abnormal activity monitoring and early warning method of claim 1, further comprising: when the user has abnormal behaviors, an alarm is given out through a preset alarm device.

4. The method for monitoring and warning abnormal activities with low power consumption as claimed in claim 1, further comprising the following steps when recording the voice of the user:

5. The low-power consumption abnormal activity monitoring and early warning method according to claim 1, wherein the uploading the recorded data to the cloud comprises:

directly uploading the recorded data to a cloud end;

6. The low-power consumption abnormal activity monitoring and early warning method according to claim 1, wherein the processing of the data by the cloud end comprises:

7. The low-power consumption abnormal activity monitoring and early warning method according to claim 6, wherein the processing of the data by the cloud further comprises:

8. A low-power consumption abnormal activity monitoring and early warning device is characterized by comprising:

the voice acquisition module is used for acquiring voice data of a user;

the judgment control module is used for judging whether abnormal behaviors exist or not based on the sound data and the motion path data, and controlling the sound recording module to record the sound when the abnormal behaviors exist in the user;

9. A low-power consumption abnormal activity monitoring and early warning system comprises monitoring equipment and a cloud server in communication connection with the monitoring equipment;

10. The low power consumption abnormal activity monitoring and early warning system of claim 9, further comprising a charging communication device;