CN112689130A - Intelligent community security alarm system and method based on big data - Google Patents
Intelligent community security alarm system and method based on big data Download PDFInfo
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Abstract
The invention provides an intelligent community security alarm system based on big data, which is suitable for the technical field of community security, and comprises the following components: the monitoring device is used for acquiring image videos of a monitoring area; the data acquisition device is used for acquiring image video data of the monitoring device; the data sorting device is used for preprocessing the image video data to obtain a security value of the image video data; the cloud server is used for receiving the image video data and judging the security value of the image video data; and the alarm device is used for receiving the low risk prompt information and the high risk prompt information and sending an alarm signal. According to the intelligent community security alarm system based on big data, the safety level is divided through the matching relation among the modules, the person entering the house can be divided into strangers, acquaintances and residents, and then an alarm signal is sent out selectively.
Description
Technical Field
The invention is suitable for the technical field of community security, and particularly relates to an intelligent community security alarm system and method based on big data.
Background
The intelligent community fully utilizes the integrated application of new-generation information technologies such as Internet of things, cloud computing and mobile internet, and provides a safe, comfortable and convenient modern and intelligent living environment for community residents, so that a community with a new management form based on informatization and intelligent social management and service is formed.
On one hand, the intelligent community innovating a management means promotes standardization, refinement and scientization of street work; meanwhile, a service mode is innovated, cultural, diversified and socialized public services are provided for residents, units and social organizations in the jurisdiction, the residents, the units and the social organizations in the jurisdiction are enabled to feel the new experience of intelligent life, a full-response intelligent state is enjoyed, and the purpose of 'management in the service and management in the service in a concrete way' is really realized. As a part of a smart city, the smart community also presents a fierce development situation under the promotion of the construction of the smart city. The intelligent community fully utilizes the electricity information technology, and relates to intelligent buildings, intelligent homes, security monitoring, intelligent community hospitals, community management services and the like.
At present, each security system in the community has the problem of different degrees, the personnel of registering the house cannot be effectively monitored, and the personnel of registering the house cannot be distinguished according to the identity information of the personnel of registering the house, so that the security alarm system can give an alarm indiscriminately, and further unnecessary troubles are caused.
Disclosure of Invention
Aiming at the defects of the prior art, the technical problem to be solved by the embodiment of the invention is to provide an intelligent community security alarm system and method based on big data.
In order to solve the technical problems, the invention provides the following technical scheme:
the utility model provides a wisdom community security protection alarm system based on big data, includes:
the monitoring device is used for acquiring image videos of a monitoring area;
the data acquisition device is used for acquiring image video data of the monitoring device;
the data sorting device is used for preprocessing the image video data to obtain a security value of the image video data, comparing the security value with a preset security threshold value to obtain first image video data, second image video data and third image video data, wherein the security value of the first image video data and the second image video data is smaller than the security threshold value, the security value of the first image video data is smaller than the security value of the second image video data, and the security value of the third image video data is larger than the security threshold value;
the cloud server is used for receiving the image video data and judging the security value of the image video data, generating high-risk prompt information when the image video data is first image video data, generating low-risk prompt information when the image video data is second image video data, and generating security prompt information when the image video data is third image video data;
the alarm device is used for receiving the low risk prompt information and the high risk prompt information and sending an alarm signal;
the user terminal is used for receiving the low risk prompt information and the high risk prompt information;
the monitoring device, the data acquisition device, the data sorting device, the cloud server and the alarm device are in communication connection, and the cloud server is in wireless communication connection with the user terminal.
As a further improvement of the invention: the system further comprises a marker for providing a reference point for acquisition of the image video.
As a further improvement of the invention: the monitoring device comprises a plurality of groups of cameras,
at least one group of cameras are aligned to the markers, and the rest cameras are installed on the upper portion of the entrance door and used for collecting face and limb information of the entrance personnel.
As a further improvement of the invention: the data collating device includes:
the preprocessing unit is used for preprocessing the image video data, wherein the preprocessing comprises data decoding processing and data perfecting processing;
and the comparison and division unit is used for comparing the preprocessed image video data with a preset safety threshold and dividing the image video data into first image video data, second image video data and third image video data according to a comparison result.
As a still further improvement of the invention: the marker is a house number.
As a still further improvement of the invention: the system further comprises:
and the encryption unit is used for encrypting the image video data when the cloud server judges that the image video data is the third image video data.
As a still further improvement of the invention: the system further comprises:
and the conversation unit is arranged at the entrance door, and after the user terminal receives the low-risk prompt message and the high-risk prompt message, the user sends out voice conversation by using the conversation unit to artificially judge the intention of the visitor.
As a still further improvement of the invention: the system further comprises:
and the data storage unit is used for storing the image video data to form a database when the cloud server receives the image video data and judges the security value of the image video data.
As a still further improvement of the invention: the system further comprises:
and the alarm releasing unit is arranged in the user terminal and used for releasing the alarm signal sent by the alarm device after the user sends the voice call by using the call unit.
A smart community security alarm method based on big data comprises the following steps:
collecting an image video of a monitoring area;
acquiring image video data of a monitoring device;
preprocessing the image video data to obtain a safety degree value of the image video data, and comparing the safety degree value with a preset safety degree threshold value;
and judging the safety value of the image video data to generate low-risk prompt information and high-risk prompt information and full prompt information.
Compared with the prior art, the invention has the beneficial effects that:
according to the intelligent community security alarm system based on the big data, the monitoring device is arranged to collect image videos of the monitored area, the data acquisition device is arranged to acquire the image video data, the data sorting device is used for grading the image video data, the cloud server is matched to generate different risk prompt information according to the image video data of different grades, and finally the alarm device and the user terminal selectively perform early warning. According to the intelligent community security alarm system based on the big data, the safety level is divided through the matching relation among the modules, the person entering the house can be divided into strangers, acquaintances and residents, and then an alarm signal is sent out selectively.
Drawings
FIG. 1 is a schematic structural diagram of a smart community security alarm system based on big data;
FIG. 2 is a schematic diagram of the installation of a monitoring device, a marker and a communication unit in a big data based intelligent community security alarm system;
FIG. 3 is a schematic structural diagram of a data sorting device in a smart community security alarm system based on big data;
FIG. 4 is a flow chart of steps in a big data based security alarm method for an intelligent community.
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.
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 also be understood that the term "and/or" as used herein refers to and encompasses any and all possible combinations of one or more of the associated listed items.
It is to be understood that, although the terms first, second, etc. may be used herein to describe various functional blocks in embodiments of the present invention, these functional blocks should not be limited by these terms. Also, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus.
Fig. 1 is a diagram of a smart community security alarm system based on big data according to an embodiment of the present invention, and for convenience of description, only parts related to the embodiment of the present invention are shown.
In the embodiment of the invention, the smart community security alarm system based on big data comprises a monitoring device 101, a data acquisition device 102, a data sorting device 103, a cloud server 104, a user terminal 105 and an alarm device 106;
the monitoring device 101 is used for acquiring image videos of a monitoring area.
Referring to fig. 2, in the embodiment of the present invention, the monitoring device 101 may include a plurality of groups of cameras 1011 for collecting and capturing facial and limb information of the person entering the home, and the plurality of groups of cameras 1011 may be installed on the upper portion of the entrance door to collect facial and limb information of the person entering the home in multiple directions, so as to improve accuracy of the image video.
The data acquiring device 102 is configured to acquire image video data of the monitoring device, specifically, to acquire face and limb information of a person entering a house, to determine whether the person entering the house is a resident of the house, and to send a determination result to the data sorting device 103.
The data sorting device 103 is configured to preprocess the image video data to obtain a security value of the image video data, compare the security value with a preset security threshold to obtain first image video data, second image video data, and third image video data, where the security value of the first image video data and the security value of the second image video data are smaller than the security threshold, the security value of the first image video data is smaller than the security value of the second image video data, and the security value of the third image video data is larger than the security threshold.
When the image video data is first image video data, it is indicated that the person entering the house is a first visitor, at this time, the data sorting device 103 sends the first image video data to the cloud server 104, the cloud server 104 generates high-risk prompt information and sends the high-risk prompt information to the alarm device 106 and the user terminal 105, the alarm device 106 sends alarm information, and the user terminal 105 reminds the resident; when the image video data is second image video data, it is indicated that the person entering the house is a non-primary visitor, at this time, the data sorting device 103 sends the second image video data to the cloud server 104, the cloud server 104 generates low-risk prompt information and sends the low-risk prompt information to the alarm device 106 and the user terminal 105, the alarm device 106 sends alarm information, and the user terminal 105 reminds the resident; when the image video data is the third image video data, it indicates that the person who enters the house is a resident, and the alarm device 106 and the user terminal do not operate.
The cloud server 104 is configured to receive the image video data and determine a security value of the image video data, generate low-risk prompt information when the image video data is first image video data, generate high-risk prompt information when the image video data is second image video data, and generate security prompt information when the image video data is third image video data.
And the alarm device 106 is used for receiving the low risk prompt message and the high risk prompt message and sending out an alarm signal to warn the resident and surrounding personnel.
In the embodiment of the present invention, the alarm device 106 may be an audible and visual alarm, or may be other devices with an alarm function, and only needs to play a warning role, which is not limited herein.
The user terminal 105 is configured to receive the low-risk prompt information and the high-risk prompt information, and in cooperation with the alarm 106, a dual alarm function can be achieved, and when a resident goes out, the resident knows the outdoor situation through the risk prompt information reflected by the user terminal 105, so that remote monitoring is achieved.
In the embodiment of the present invention, the user terminal 105 may be one or more of a mobile phone, a tablet computer, or a notebook computer.
Since the entrance door is usually provided with the markers 2 for distinguishing floors and residences, as a possible embodiment of the invention, at least one group of cameras 1011 is aligned with the markers 2 for providing reference points for acquiring image videos to indicate the specific positions of the entrance personnel.
In the embodiment of the present invention, the monitoring device 101, the data obtaining device 102, the data sorting device 103, the cloud server 104, and the alarm device 106 are in communication connection, and the cloud server 104 is in wireless communication connection with the user terminal 105.
Referring to fig. 3, as a possible embodiment of the present invention, the data sorting apparatus 103 includes a preprocessing unit 1032 and a comparison and division unit 1031;
the preprocessing unit 1032 is configured to perform preprocessing on the image video data, where the preprocessing includes data decoding processing and data perfecting processing,
the decoding process is used for decoding information such as a security value from image video data, and can be implemented along with an existing decoding process method;
the data perfecting processing is to preprocess image video information of the person entering the house, binarize the image video to remove interference points, normalize the image video by a method of centroid alignment and linear interpolation amplification, and set the image video to be a uniform specification;
through the preprocessing, the processing and identifying performance of the cloud server on the picture video can be improved.
The comparison and division unit 1031 is configured to compare the preprocessed image video data with a preset security threshold, and divide the image video data into first image video data, second image video data, and third image video data according to a comparison result.
As a feasible embodiment of the invention, the smart community security alarm system based on big data further comprises an encryption unit, when the cloud server judges that the image video data is the third image video data, the encryption unit is used for encrypting the image video data so as to prevent the third image video data as the security information from being leaked, and protect the privacy of residents.
Specifically, the encryption process is as follows: the image video data is changed into a ciphertext form by using an encryption algorithm and an encryption key, so that the situation that lawbreakers know the face and the body information of resident personnel and imitate the face and the body information intentionally to further cause property loss is prevented.
The encryption algorithm and the encryption key are conventional means, and will not be described in detail herein.
As a feasible embodiment of the invention, the smart community security alarm system based on big data further comprises a call unit 3, wherein the call unit 3 is installed at the entrance door, and after the user terminal receives the low risk prompt information and the high risk prompt information, the user sends out a voice call by using the call unit to artificially judge the intention of the visitor.
As a feasible embodiment of the present invention, the smart community security alarm system based on big data further includes a data storage unit, which is configured to store the image video data to form a database when the cloud server receives the image video data and determines the security value of the image video data, and when the cloud server determines that the image video data is the first image video data and the second image video data, the cloud server may store the first image video data and the second image video data to the data storage unit to form the database, so as to facilitate the subsequent comparison with the visitor.
As a possible embodiment of the present invention, the smart community security alarm system based on big data further includes an alarm release unit, which is installed in the user terminal 105, and selectively controls to release the alarm signal sent by the alarm device 106 after the user uses the call unit to send a voice call and determines the intention of the visitor.
The above description is only exemplary of the preferred embodiment of the security alarm system and should not be construed as limiting the present invention, and any modification, equivalent replacement, or improvement made within the spirit and principle of the present invention should be included in the protection scope of the present invention.
According to the intelligent community security alarm system based on the big data, the monitoring device is arranged to collect image videos of the monitored area, the data acquisition device is arranged to acquire the image video data, the data sorting device is used for grading the image video data, the cloud server is matched to generate different risk prompt information according to the image video data of different grades, and finally the alarm device and the user terminal selectively perform early warning. According to the intelligent community security alarm system based on the big data, the safety level is divided through the matching relation among the modules, the person entering the house can be divided into strangers, acquaintances and residents, and then an alarm signal is sent out selectively.
Fig. 4 is a flowchart illustrating steps of a smart community security alarm method based on big data according to an embodiment of the present invention, which includes the following steps:
step S401, collecting image videos of a monitoring area;
in the embodiment of the invention, the image video of the monitored area can be collected by the monitoring device 101;
specifically, monitoring device 101 can be multiunit camera 1011 for the face and the limbs information of gathering the personnel of registering one's residence, multiunit camera 1011 can install in entrance door upper portion to carry out diversified collection to personnel's of registering one's residence face and limbs information, improve the video degree of accuracy of image.
Step S402, acquiring image video data of the monitoring device 101;
in the embodiment of the present invention, the image video data of the monitoring device may be acquired by the data acquisition device 102;
step S403, preprocessing the image video data to obtain a security value of the image video data, and comparing the security value with a preset security threshold;
in the embodiment of the present invention, the image video data may be preprocessed by the data sorting device 103 to obtain a security value of the image video data, and the security value is compared with a preset security threshold to obtain first image video data, second image video data, and third image video data, where the security value of the first image video data and the second image video data is smaller than the security threshold, the security value of the first image video data is smaller than the security value of the second image video data, and the security value of the third image video data is larger than the security threshold.
Step S404, the safety value of the image video data is judged to generate low risk prompt information and high risk prompt information to be full prompt information.
In the embodiment of the present invention, the cloud server 104 may receive the image video data and determine the security value of the image video data, when the image video data is the first image video data, the low risk prompt information is generated, when the image video data is the second image video data, the high risk prompt information is generated, and when the image video data is the third image video data, the security prompt information is generated.
Although the preferred embodiments of the present patent have been described in detail, the present patent is not limited to the above embodiments, and various changes can be made without departing from the spirit of the present patent within the knowledge of those skilled in the art.
Claims (10)
1. The utility model provides a security protection alarm system of wisdom community based on big data which characterized in that includes:
the monitoring device is used for acquiring image videos of a monitoring area;
the data acquisition device is used for acquiring image video data of the monitoring device;
the data sorting device is used for preprocessing the image video data to obtain a security value of the image video data, comparing the security value with a preset security threshold value to obtain first image video data, second image video data and third image video data, wherein the security value of the first image video data and the second image video data is smaller than the security threshold value, the security value of the first image video data is smaller than the security value of the second image video data, and the security value of the third image video data is larger than the security threshold value;
the cloud server is used for receiving the image video data and judging the security value of the image video data, generating high-risk prompt information when the image video data is first image video data, generating low-risk prompt information when the image video data is second image video data, and generating security prompt information when the image video data is third image video data;
the alarm device is used for receiving the low risk prompt information and the high risk prompt information and sending an alarm signal;
the user terminal is used for receiving the low risk prompt information and the high risk prompt information;
the monitoring device, the data acquisition device, the data sorting device, the cloud server and the alarm device are in communication connection, and the cloud server is in wireless communication connection with the user terminal.
2. The smart community security alarm system based on big data as claimed in claim 1, wherein the system further comprises a marker for providing a reference point for the collection of image video.
3. The intelligent community security alarm system based on big data as claimed in claim 2, wherein the monitoring device comprises a plurality of sets of cameras,
at least one group of cameras are aligned to the markers, and the rest cameras are installed on the upper portion of the entrance door and used for collecting face and limb information of the entrance personnel.
4. The intelligent community security alarm system based on big data as claimed in claim 1, wherein the data arrangement device comprises:
the preprocessing unit is used for preprocessing the image video data, wherein the preprocessing comprises data decoding processing and data perfecting processing;
and the comparison and division unit is used for comparing the preprocessed image video data with a preset safety threshold and dividing the image video data into first image video data, second image video data and third image video data according to a comparison result.
5. The intelligent community security alarm system based on big data as claimed in claim 2 or 3, wherein the marker is a house number.
6. The intelligent community security alarm system based on big data as claimed in claim 1, wherein the system further comprises:
and the encryption unit is used for encrypting the image video data when the cloud server judges that the image video data is the third image video data.
7. The intelligent community security alarm system based on big data as claimed in claim 1, wherein the system further comprises:
and the conversation unit is arranged at the entrance door, and after the user terminal receives the low-risk prompt message and the high-risk prompt message, the user sends out voice conversation by using the conversation unit to artificially judge the intention of the visitor.
8. The intelligent community security alarm system based on big data as claimed in claim 1, wherein the system further comprises:
and the data storage unit is used for storing the image video data to form a database when the cloud server receives the image video data and judges the security value of the image video data.
9. The intelligent community security alarm system based on big data as claimed in claim 7, wherein the system further comprises:
and the alarm releasing unit is arranged in the user terminal and used for releasing the alarm signal sent by the alarm device after the user sends the voice call by using the call unit.
10. A big data-based intelligent community security alarm method is characterized by comprising the following steps:
collecting an image video of a monitoring area;
acquiring image video data of a monitoring device;
preprocessing the image video data to obtain a safety degree value of the image video data, and comparing the safety degree value with a preset safety degree threshold value;
and judging the safety value of the image video data to generate low-risk prompt information and high-risk prompt information and full prompt information.
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Application publication date: 20210420 |