CN111935447B - Intelligent garage monitoring method based on Internet of things - Google Patents

Intelligent garage monitoring method based on Internet of things Download PDF

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CN111935447B
CN111935447B CN202010652279.7A CN202010652279A CN111935447B CN 111935447 B CN111935447 B CN 111935447B CN 202010652279 A CN202010652279 A CN 202010652279A CN 111935447 B CN111935447 B CN 111935447B
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mobile terminal
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CN111935447A (en
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鲁毓珍
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Langfang Bolian Technology Development Co ltd
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廊坊博联科技发展有限公司
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    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04NPICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N7/00Television systems
    • H04N7/18Closed-circuit television [CCTV] systems, i.e. systems in which the video signal is not broadcast
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F21/00Security arrangements for protecting computers, components thereof, programs or data against unauthorised activity
    • G06F21/60Protecting data
    • G06F21/602Providing cryptographic facilities or services
    • GPHYSICS
    • G08SIGNALLING
    • G08GTRAFFIC CONTROL SYSTEMS
    • G08G1/00Traffic control systems for road vehicles
    • G08G1/14Traffic control systems for road vehicles indicating individual free spaces in parking areas
    • G08G1/141Traffic control systems for road vehicles indicating individual free spaces in parking areas with means giving the indication of available parking spaces
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04WWIRELESS COMMUNICATION NETWORKS
    • H04W12/00Security arrangements; Authentication; Protecting privacy or anonymity
    • H04W12/06Authentication
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04WWIRELESS COMMUNICATION NETWORKS
    • H04W4/00Services specially adapted for wireless communication networks; Facilities therefor
    • H04W4/30Services specially adapted for particular environments, situations or purposes
    • H04W4/40Services specially adapted for particular environments, situations or purposes for vehicles, e.g. vehicle-to-pedestrians [V2P]
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04WWIRELESS COMMUNICATION NETWORKS
    • H04W4/00Services specially adapted for wireless communication networks; Facilities therefor
    • H04W4/80Services using short range communication, e.g. near-field communication [NFC], radio-frequency identification [RFID] or low energy communication

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Abstract

An intelligent garage monitoring method based on the Internet of things comprises the following steps: s1, configuring regional garage management alliance servers, wherein the alliance servers are used for managing the requirements of each garage management server in the region; s2, configuring the mapping relation between the mobile terminal and the license plate number and the automobile data recorder in the user mobile terminal, and sending the mapping relation to the garage management server; s3, the garage management server sends the encrypted character string information to a garage management alliance server; and S4, when a video acquisition demand sent by the mobile terminal requesting to acquire the video is received, the garage management server judges whether the mobile terminal is in the shooting range of the camera according to the position information extracted from the video acquisition demand.

Description

Intelligent garage monitoring method based on Internet of things
Technical Field
The invention relates to the technical field of security of smart communities, in particular to a smart garage monitoring method based on the Internet of things.
Background
In the existing underground garage monitoring scheme, the problems of video loss and video monitoring information leakage often occur, once a vehicle is scratched or stolen by other vehicles, a management party of the garage cannot call out a monitoring video, the contradiction between a vehicle owner and a ground garage management party is deepened, and when the vehicle is scratched, a place with possibility of an accident is located in a monitoring blind area, under the condition, a vehicle event recorder of other vehicle owners can shoot the scene of the accident, but because no person can hit the situation, the enthusiasm of other vehicle owners who agree to share the video is not high. In the prior art, the method is difficult to have a reasonable underground garage monitoring method adopting a technical means to balance the contradiction relation.
Disclosure of Invention
In view of the above, the invention provides an intelligent garage monitoring method based on the internet of things.
An intelligent garage monitoring method based on the Internet of things comprises the following steps:
s1, configuring regional garage management alliance servers, wherein the alliance servers are used for managing the requirements of each garage management server in the region;
s2, configuring the mapping relation between the mobile terminal and the license plate number and the automobile data recorder in the user mobile terminal, and sending the mapping relation to the garage management server;
the method comprises the steps that a driving recorder access wifi reminding function is configured in a garage management server, when a vehicle stops in a garage, the occupation situation of parking spaces is identified through an nfc function, the serial numbers of the parking spaces and license plate numbers are bound, the parking space serial numbers occupied by the vehicle, the license plate numbers, driving recorder access wifi information, a mapping relation and time occupation information are stored through character string information, wherein the license plate number information is partially encrypted through a preset encryption algorithm, and the character string information is stored in the garage management server;
s3, the garage management server sends the encrypted character string information to a garage management alliance server;
s4, when a video acquisition demand sent by the mobile terminal requesting to acquire the video is received, the garage management server judges whether the mobile terminal is in the shooting range of the camera according to the position information extracted from the video acquisition demand, if the mobile terminal belongs to the video acquisition demand, the step S7 is skipped, and if not, the step S5 is skipped;
s5, the garage management server continuously judges that the extracted position information can extract the parking space number of the video within the preset range, matches the extracted parking space number with the occupied parking space number in the character string information, and sends the video sharing request to the mobile terminal of the corresponding vehicle owner according to the mapping relation;
s6, verifying the video sharing request according to a preset communication link protocol, sending the corresponding video to the corresponding mobile terminal when the verification is passed, sending the corresponding excitation data to the mobile terminal which collects the video and the mobile terminal which participates in the verification according to a preset rule, and ending the process;
and S7, verifying the video acquisition requirement through the garage management alliance server, sending the corresponding video to the corresponding mobile terminal after the verification is passed, and ending the process.
In the intelligent garage monitoring method based on the internet of things,
the step S2 further includes:
dividing an area outside the shooting range of the camera into a plurality of monitoring blind area areas in the garage management server; and the parking space numbers corresponding to the shared videos which can be extracted from each monitoring blind area are set as shared cluster units; correspondingly, the step S5 includes:
the garage management server continuously judges the shared cluster unit where the extracted position information is located, and obtains the parking space number from which the video can be extracted according to the shared cluster unit;
and matching the extracted parking space number with the occupied parking space number in the character string information, and sending the video sharing request to the mobile terminal of the corresponding vehicle owner according to the mapping relation.
In the intelligent garage monitoring method based on the internet of things,
in step S6, verifying the video sharing request according to a preset communication link protocol, and sending the corresponding video to the corresponding mobile terminal when the verification is passed includes:
s61, configuring a special communication link, wherein the communication link is used for verifying the video sharing request of the mobile terminal in the form of a block chain;
s62, broadcasting a video sharing request sent by the mobile terminal requesting to acquire the video to a communication link;
s63, obtaining a verification result fed back by the mobile terminal participating in verification, judging whether the video sharing request meets the requirement or not according to the verification result, sending a verification passing instruction to the garage management server when the video sharing request meets the requirement, and jumping to the step S64, otherwise, terminating the flow;
s64, the garage management server analyzes the mapping relation information of the mobile terminal which collects the video from the character string information, and sends a video sharing instruction to the mobile terminal which collects the video according to the mapping relation information; and the mobile terminal which acquires the video sends the corresponding video to the mobile terminal which requests to acquire the video through the garage management server.
In the intelligent garage monitoring method based on the internet of things,
the step S63 includes:
s631, obtaining verification feedback information returned by the participating mobile terminals, wherein the verification feedback information of the mobile terminals authorized to participate comprises authentication authority weight information;
s632, judging whether abnormal terminals exist in the involved mobile terminals, and if no abnormal terminals exist, extracting weight information from all verification feedback information, and jumping to the step S633; otherwise, jumping to step S635;
s633, judging whether the extracted weight information meets the requirement of the authentication authority weight, and jumping to the step S634 when the extracted weight information meets the requirement of the authentication authority weight; otherwise, jumping to step S635;
s634, judging whether the participating mobile terminals meet the requirement of a quantity threshold, and jumping to the step S64 when the participating mobile terminals meet the requirement; otherwise, jumping to step S635;
s635, this flow is terminated.
In the intelligent garage monitoring method based on the internet of things,
the step of determining whether an abnormal terminal exists in the participating mobile terminals in S632 includes:
acquiring historical verification information of all mobile terminals participating in verification, and converting all the historical verification information into a first verification matrix;
estimating according to the first verification matrix to obtain different speculative values of each mobile terminal participating in verification at the current time point, calculating to obtain a mean value of the speculative values of each mobile terminal participating in verification at the current time point, and generating an estimation vector according to the mean value of the speculative values;
and judging whether abnormal terminals exist in the participating mobile terminals according to the estimation vector.
In the method for monitoring an intelligent garage based on the internet of things of the present invention, before the step S634 of determining whether the participating mobile terminals meet the requirement of the quantity threshold, the method further includes: presetting a feedback time node, judging the number of the participated mobile terminals fed back when the time node arrives, and dynamically adjusting the authentication authority weight of the participated mobile terminals when the number of the participated mobile terminals meets the requirement.
In the intelligent garage monitoring method based on the internet of things,
the first validation matrix is as follows:
Figure GDA0003396818310000041
wherein c isijSubscript of (1) is the ith mobile terminal, subscript j is the serial number of a time point, n is the total number of the mobile terminals, t is the last time point of the historical verification information, cijThe verification information of the ith mobile terminal at the j time point is represented, wherein the verification information comprises time consumed by verification, a verified object mobile terminal, namely the object mobile terminal is a mobile terminal requesting video and verified legality information, and the verified legality information is weight information of whether the verification is determined to be illegal or not and the verification;
estimating according to historical verification information of each past time point to obtain different presumption values of each mobile terminal participating in verification at the current time point as follows:
Figure GDA0003396818310000042
there are always t-1 guess values;
the average of the guess values of the current time point of the ith mobile terminal participating in the verification is represented as follows:
c′itc'1t,c′2t,...c′ntThe estimation vector form represents the average value of the estimation values of each mobile terminal to the current time point according to the last time point t of the historical verification information, and the estimation value average values of all the mobile terminals are converted into a vector expression form, wherein the estimation vector form is as follows:
Y=(c′1t,c′2t,...c′nt)T
the beneficial technical effects are as follows: compared with the prior art, the intelligent garage monitoring method based on the Internet of things can realize the following steps: the license plate number information part is encrypted by adopting a preset encryption algorithm, and the character string information is stored in the garage management server, so that the personal privacy of the car owner who provides the video or participates in the verification is not disclosed; the video sharing request is verified according to a preset communication link protocol, the corresponding video is sent to the corresponding mobile terminal when the verification is passed, and the corresponding excitation data is sent to the mobile terminal which collects the video and the mobile terminal which participates in the verification according to a preset rule, so that the verification process is more reliable, and is more transparent and can not be changed; and more vehicle owners can be stimulated to participate in video sharing and verification, and the positivity of video calling verification is improved.
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Fig. 1 is a flowchart of a method for monitoring an intelligent garage based on the internet of things according to an embodiment of the invention.
Detailed Description
As shown in fig. 1, in an embodiment of the present invention, a method for monitoring an intelligent garage based on an internet of things includes the following steps:
s1, configuring regional garage management alliance servers, wherein the alliance servers are used for managing the requirements of each garage management server in the region;
the garage management alliance server is arranged, so that negligence of a single garage manager is eliminated, the requirement of a vehicle owner is not met by the retrieval of monitoring videos, and in addition, under the condition that whether the video monitoring camera is damaged or not, final judgment is carried out through the garage management alliance server, and the public trust is improved. The garage management federation server may be a server of a third party platform that is commonly approved by multiple garage managers.
S2, configuring the mapping relation between the mobile terminal and the license plate number and the automobile data recorder in the user mobile terminal, and sending the mapping relation to the garage management server;
by configuring the mapping relation between the mobile terminal and the license plate number and between the mobile terminal and the automobile data recorder, the garage management server can quickly locate the automobile owner according to the mapping relation, and the license plate number information part is encrypted by adopting a preset encryption algorithm subsequently, so that when a video retrieval request is sent, other automobile owners can provide verification without interference or provide shot videos without disclosing the identities of the automobile owners, and corresponding identity information is disclosed only when a judicial authority or other authorities call according to the authority. In all embodiments of the invention, the mobile terminal of the user can participate in the verification of the video sharing request, can also share the video shot by the automobile data recorder in the vehicle, and can also send the video sharing request required by the user on another occasion.
The method comprises the steps that a driving recorder access wifi reminding function is configured in a garage management server, when a vehicle stops in a garage, the occupation situation of parking spaces is identified through an nfc function, the serial numbers of the parking spaces and license plate numbers are bound, the parking space serial numbers occupied by the vehicle, the license plate numbers, driving recorder access wifi information, a mapping relation and time occupation information are stored through character string information, wherein the license plate number information is partially encrypted through a preset encryption algorithm, and the character string information is stored in the garage management server;
the occupation condition of the parking space is identified through the nfc function, the number of the parking space is bound with the license plate number, and the license plate number and the number of the parking space can be accurately in one-to-one correspondence. Moreover, the function of reminding the driver of accessing the automobile data recorder to the wifi is configured in the garage management server, so that the automobile data recorder in the vehicle can be conveniently accessed to the wifi provided by the garage management party. All information of the owner cannot be directly acquired from the character string information, and privacy of the user is protected. After the vehicle stops in the parking stall, the automobile data recorder accesses wifi and sends the access information to the corresponding mobile terminal, and collects and shoots video pictures in real time.
S3, the garage management server sends the encrypted character string information to a garage management alliance server;
s4, when a video acquisition demand sent by the mobile terminal requesting to acquire the video is received, the garage management server judges whether the mobile terminal is in the shooting range of the camera according to the position information extracted from the video acquisition demand, if the mobile terminal belongs to the video acquisition demand, the step S7 is skipped, and if not, the step S5 is skipped;
s5, the garage management server continuously judges that the extracted position information can extract the parking space number of the video within the preset range, matches the extracted parking space number with the occupied parking space number in the character string information, and sends the video sharing request to the mobile terminal of the corresponding vehicle owner according to the mapping relation;
s6, verifying the video sharing request according to a preset communication link protocol, sending the corresponding video to the corresponding mobile terminal when the verification is passed, sending the corresponding excitation data to the mobile terminal which collects the video and the mobile terminal which participates in the verification according to a preset rule, and ending the process;
by configuring corresponding incentive data, the enthusiasm of the vehicle owner for participating in verification and providing videos can be improved, the dispute incidence of a garage manager can be reduced, and the win-win result is realized. Optionally, the preset communication link protocol is in a form of a block chain, and the mobile terminal of the user is accessed into the block chain, so that the security of the verification is improved.
And S7, verifying the video acquisition requirement through the garage management alliance server, sending an instruction to control the garage management server to send the corresponding video to the corresponding mobile terminal after the verification is passed, and ending the process. The garage management alliance server is used for verifying the video acquisition requirement, so that the final judgment and judgment are avoided when a garage manager does not provide videos.
In the intelligent garage monitoring method based on the internet of things,
the step S2 further includes:
dividing an area outside the shooting range of the camera into a plurality of monitoring blind area areas in the garage management server; and the parking space numbers corresponding to the shared videos which can be extracted from each monitoring blind area are set as shared cluster units; correspondingly, the step S5 includes:
the garage management server continuously judges the shared cluster unit where the extracted position information is located, and obtains the parking space number from which the video can be extracted according to the shared cluster unit;
and matching the extracted parking space number with the occupied parking space number in the character string information, and sending the video sharing request to the mobile terminal of the corresponding vehicle owner according to the mapping relation.
The beneficial effect of setting up this embodiment is that can he through sharing the clustering unit pinpoint the vehicle event data recorder that probably shoots the surveillance video promptly.
In the intelligent garage monitoring method based on the internet of things,
in step S6, verifying the video sharing request according to a preset communication link protocol, and sending the corresponding video to the corresponding mobile terminal when the verification is passed includes:
s61, configuring a special communication link, wherein the communication link is used for verifying the video sharing request of the mobile terminal in the form of a block chain;
s62, broadcasting a video sharing request sent by the mobile terminal requesting to acquire the video to a communication link;
s63, obtaining a verification result fed back by the mobile terminal participating in verification, judging whether the video sharing request meets the requirement or not according to the verification result, sending a verification passing instruction to the garage management server when the video sharing request meets the requirement, and jumping to the step S64, otherwise, terminating the flow;
s64, the garage management server analyzes the mapping relation information of the mobile terminal which collects the video from the character string information, and sends a video sharing instruction to the mobile terminal which collects the video according to the mapping relation information; and the mobile terminal which acquires the video sends the corresponding video to the mobile terminal which requests to acquire the video through the garage management server.
In the intelligent garage monitoring method based on the internet of things,
the step S63 includes:
s631, obtaining verification feedback information returned by the participating mobile terminals, wherein the verification feedback information of the mobile terminals authorized to participate comprises authentication authority weight information;
s632, judging whether abnormal terminals exist in the involved mobile terminals, and if no abnormal terminals exist, extracting weight information from all verification feedback information, and jumping to the step S633; otherwise, jumping to step S635;
s633, judging whether the extracted weight information meets the requirement of the authentication authority weight, and jumping to the step S634 when the extracted weight information meets the requirement of the authentication authority weight; otherwise, jumping to step S635;
s634, judging whether the participating mobile terminals meet the requirement of a quantity threshold, and jumping to the step S64 when the participating mobile terminals meet the requirement; otherwise, jumping to step S635;
s635, this flow is terminated.
In the intelligent garage monitoring method based on the internet of things,
the step of determining whether an abnormal terminal exists in the participating mobile terminals in S632 includes:
acquiring historical verification information of all mobile terminals participating in verification, and converting all the historical verification information into a first verification matrix;
estimating according to the first verification matrix to obtain different speculative values of each mobile terminal participating in verification at the current time point, calculating to obtain a mean value of the speculative values of each mobile terminal participating in verification at the current time point, and generating an estimation vector according to the mean value of the speculative values. The estimation of the historical authentication information at each time point to obtain different guess values of each mobile terminal participating in authentication at the current time point is due to the fact that certain errors may exist due to the estimation.
Estimating according to historical verification information of each past time point to obtain different presumption values of each mobile terminal participating in verification at the current time point, calculating to obtain a presumption value mean value of each mobile terminal participating in verification at the current time point, and generating an estimation vector according to the presumption value mean value;
and judging whether abnormal terminals exist in the participating mobile terminals according to the estimation vector.
The principle of the embodiment of the invention is that although the communication link can adopt a block chain form, the community server and the mobile terminal are added into the block chain in advance, the number of the mobile terminals participating in a certain region range is limited, and the risk of illegal cracking still exists in the verification process of the block chain. By judging whether abnormal terminals exist in the participating mobile terminals, the abnormal mobile terminals in the communication link can be eliminated in time, and the safety of verification is improved.
In the method for monitoring an intelligent garage based on the internet of things of the present invention, before the step S634 of determining whether the participating mobile terminals meet the requirement of the quantity threshold, the method further includes: presetting a feedback time node, judging the number of the participated mobile terminals fed back when the time node arrives, and dynamically adjusting the authentication authority weight of the participated mobile terminals when the number of the participated mobile terminals meets the requirement.
In a preferred embodiment, a garage management server is added into a communication link, initial authentication weights of the garage management server and an initial authentication weight of a garage management alliance server are configured respectively, when the number of the participating mobile terminals meets requirements, the number level of the participating mobile terminals is set and divided into a first level, a second level and a third level, the first number level is greater than the second number level, and the second number level is greater than the third number level. Specifically, when the number level of the mobile terminals is a first level, the authentication authority weight of the garage management server is reduced; when the number level of the mobile terminals is a first level, keeping the authentication authority weight of the garage management server unchanged; and when the number level of the mobile terminals is a third level, increasing the authentication authority weight of the garage management server.
The implementation of the present embodiment has the advantages that: by setting the time node for feedback, the number of the mobile terminals which are fed back when the time node arrives and have the right to participate is judged, so that the overlong verification time can be avoided, and the timeliness of video acquisition is prevented from being reduced. And further according to the number of the fed-back mobile terminals which are authorized to participate, when the number of the mobile terminals which are authorized to participate meets the requirement, dynamically adjusting the authentication authority weights of the garage management server and the mobile terminals which are authorized to participate, so that when the number of the mobile terminals which meet the requirement (but the number is not too much), the security of the whole verification process is ensured by increasing the authentication authority weight of the garage management server, and the adjustment is dynamic, so that the garage management server is not always in the condition of higher authentication authority weight, and the overall security during continuous verification is ensured.
Optionally, the step S6 of sending the stress stimulation data to the mobile terminal that has collected the video and the mobile terminal that participates in the verification according to the preset rule includes:
and the garage management server sends corresponding parking privilege data information to the mobile terminal which collects the video and the mobile terminal which participates in the verification.
In the intelligent garage monitoring method based on the internet of things,
the first validation matrix is as follows:
Figure GDA0003396818310000091
wherein c isijSubscript of (1) is the ith mobile terminal, subscript j is the serial number of a time point, n is the total number of the mobile terminals, t is the last time point of the historical verification information, cijThe verification information of the ith mobile terminal at the j time point is represented, wherein the verification information comprises time consumed by verification, a verified object mobile terminal, namely the object mobile terminal is a mobile terminal requesting video and verified legality information, and the verified legality information is weight information of whether the verification is determined to be illegal or not and the verification;
estimating according to historical verification information of each past time point to obtain different presumption values of each mobile terminal participating in verification at the current time point as follows:
Figure GDA0003396818310000092
there are always t-1 guess values;
the average of the guess values of the current time point of the ith mobile terminal participating in the verification is represented as follows:
c′itc'1t,c′2t,...c′ntThe estimation vector form represents the average value of the estimation values of each mobile terminal to the current time point according to the last time point t of the historical verification information, and the estimation value average values of all the mobile terminals are converted into a vector expression form, wherein the estimation vector form is as follows:
Y=(c′1t,c′2t,...c′nt)T
through the processing of the embodiment of the invention, the error that the illegally invaded or controlled mobile terminal becomes an unreliable node due to the deviation of the verification is effectively reduced, so that the illegally invaded or controlled mobile terminal is easier to find, and the verification process is not easy to tamper by cooperating with other participatory mobile terminals.
Judging whether an abnormal terminal exists in the participating mobile terminals according to the estimation vector can be realized by the following modes:
calculating the minimum variance of the vector cluster formed by the estimation vectors, wherein the specific formula is as follows:
Figure GDA0003396818310000101
wherein
Figure GDA0003396818310000102
The variance of the vector cluster obtained for a single calculation, σ, is the predictor obtained cumulatively. And the vector cluster formed by the estimation vectors is calculated, so that the accuracy of judging the abnormal terminal can be improved.
The beneficial technical effects are as follows: compared with the prior art, the intelligent garage monitoring method based on the Internet of things can realize the following steps: the license plate number information part is encrypted by adopting a preset encryption algorithm, and the character string information is stored in the garage management server, so that the personal privacy of the car owner who provides the video or participates in the verification is not disclosed; the video sharing request is verified according to a preset communication link protocol, the corresponding video is sent to the corresponding mobile terminal when the verification is passed, and the corresponding excitation data is sent to the mobile terminal which collects the video and the mobile terminal which participates in the verification according to a preset rule, so that the verification process is more reliable, and is more transparent and can not be changed; and more vehicle owners can be stimulated to participate in video sharing and verification, and the positivity of video calling verification is improved.
It is understood that various other changes and modifications may be made by those skilled in the art based on the technical idea of the present invention, and all such changes and modifications should fall within the protective scope of the claims of the present invention.

Claims (4)

1. An intelligent garage monitoring method based on the Internet of things is characterized by comprising the following steps:
s1, configuring regional garage management alliance servers, wherein the alliance servers are used for managing the requirements of each garage management server in the region;
s2, configuring the mapping relation between the mobile terminal and the license plate number and the automobile data recorder in the user mobile terminal, and sending the mapping relation to the garage management server;
the method comprises the steps that a driving recorder access wifi reminding function is configured in a garage management server, when a vehicle stops in a garage, the occupation situation of parking spaces is identified through an nfc function, the serial numbers of the parking spaces and license plate numbers are bound, the parking space serial numbers occupied by the vehicle, the license plate numbers, driving recorder access wifi information, a mapping relation and time occupation information are stored through character string information, wherein the license plate number information is partially encrypted through a preset encryption algorithm, and the character string information is stored in the garage management server;
s3, the garage management server sends the encrypted character string information to a garage management alliance server;
s4, when a video acquisition demand sent by the mobile terminal requesting to acquire the video is received, the garage management server judges whether the mobile terminal is in the shooting range of the camera according to the position information extracted from the video acquisition demand, if the mobile terminal belongs to the video acquisition demand, the step S7 is skipped, and if not, the step S5 is skipped;
s5, the garage management server continuously judges that the extracted position information can extract the parking space number of the video within the preset range, matches the extracted parking space number with the occupied parking space number in the character string information, and sends the video sharing request to the mobile terminal of the corresponding vehicle owner according to the mapping relation;
s6, verifying the video sharing request according to a preset communication link protocol, sending the corresponding video to the corresponding mobile terminal when the verification is passed, sending the corresponding excitation data to the mobile terminal which collects the video and the mobile terminal which participates in the verification according to a preset rule, and ending the process;
s7, verifying the video acquisition requirement through the garage management alliance server, sending the corresponding video to the corresponding mobile terminal after the verification is passed, and ending the process;
in step S6, verifying the video sharing request according to a preset communication link protocol, and sending the corresponding video to the corresponding mobile terminal when the verification is passed includes:
s61, configuring a special communication link, wherein the communication link is used for verifying the video sharing request of the mobile terminal in the form of a block chain;
s62, broadcasting a video sharing request sent by the mobile terminal requesting to acquire the video to a communication link;
s63, obtaining a verification result fed back by the terminal participating in verification, judging whether the video sharing request meets the requirement or not according to the verification result, sending a verification passing instruction to the garage management server when the video sharing request meets the requirement, and jumping to the step S64, otherwise, terminating the flow;
s64, the garage management server analyzes the mapping relation information of the mobile terminal which collects the video from the character string information, and sends a video sharing instruction to the mobile terminal which collects the video according to the mapping relation information; the mobile terminal which collects the video sends the corresponding video to the terminal which requests to acquire the video through the garage management server;
the step S63 includes:
s631, obtaining verification feedback information returned by the participating mobile terminals, wherein the verification feedback information of the mobile terminals authorized to participate comprises authentication authority weight information;
s632, judging whether abnormal terminals exist in the involved mobile terminals, and if no abnormal terminals exist, extracting weight information from all verification feedback information, and jumping to the step S633; otherwise, jumping to step S635;
s633, judging whether the extracted weight information meets the requirement of the authentication authority weight, and jumping to the step S634 when the extracted weight information meets the requirement of the authentication authority weight; otherwise, jumping to step S635;
s634, judging whether the participating mobile terminals meet the requirement of a quantity threshold, and jumping to the step S64 when the participating mobile terminals meet the requirement; otherwise, jumping to step S635;
s635, this flow is terminated.
2. The intelligent garage monitoring method based on the Internet of things of claim 1,
the step S2 further includes:
dividing an area outside the shooting range of the camera into a plurality of monitoring blind area areas in the garage management server; and the parking space numbers corresponding to the shared videos which can be extracted from each monitoring blind area are set as shared cluster units; correspondingly, the step S5 includes:
the garage management server continuously judges the shared cluster unit where the extracted position information is located, and obtains the parking space number from which the video can be extracted according to the shared cluster unit;
and matching the extracted parking space number with the occupied parking space number in the character string information, and sending the video sharing request to the mobile terminal of the corresponding vehicle owner according to the mapping relation.
3. The intelligent garage monitoring method based on the Internet of things of claim 2,
the step of determining whether an abnormal terminal exists in the participating mobile terminals in S632 includes:
acquiring historical verification information of all mobile terminals participating in verification, and converting all the historical verification information into a first verification matrix;
estimating according to the first verification matrix to obtain different speculative values of each mobile terminal participating in verification at the current time point, calculating to obtain a mean value of the speculative values of each mobile terminal participating in verification at the current time point, and generating an estimation vector according to the mean value of the speculative values;
judging whether abnormal terminals exist in the participating mobile terminals according to the estimation vectors;
the first validation matrix is as follows:
Figure FDA0003396818300000031
wherein c isijSubscript of (1) is the ith mobile terminal, subscript j is the serial number of a time point, n is the total number of the mobile terminals, t is the last time point of the historical verification information, cijThe verification information of the ith mobile terminal at the j time point is represented, wherein the verification information comprises time consumed by verification, a verified object mobile terminal, namely the object mobile terminal is a mobile terminal requesting video and verified legality information, and the verified legality information is weight information of whether the verification is determined to be illegal or not and the verification;
estimating according to historical verification information of each past time point to obtain different presumption values of each mobile terminal participating in verification at the current time point as follows:
Figure FDA0003396818300000032
there are always t-1 guess values;
the average of the guess values of the current time point of the ith mobile terminal participating in the verification is represented as follows:
c′itc'1t,c′2t,...c′ntThe estimation vector form represents the average value of the estimation values of each mobile terminal to the current time point according to the last time point t of the historical verification information, and the estimation value average values of all the mobile terminals are converted into a vector expression form, wherein the estimation vector form is as follows:
Y=(c′1t,c′2t,...c′nt)T
4. the method for monitoring the intelligent garage based on the internet of things of claim 3, wherein before the step of determining whether the participating mobile terminals meet the quantity threshold requirement in step S634, the method further comprises: presetting a feedback time node, judging the number of the participated mobile terminals fed back when the time node arrives, and dynamically adjusting the authentication authority weight of the participated mobile terminals when the number of the participated mobile terminals meets the requirement.
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