CN116645772A - Customized original wine anti-theft anti-migration monitoring analysis system - Google Patents

Customized original wine anti-theft anti-migration monitoring analysis system Download PDF

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CN116645772A
CN116645772A CN202310658885.3A CN202310658885A CN116645772A CN 116645772 A CN116645772 A CN 116645772A CN 202310658885 A CN202310658885 A CN 202310658885A CN 116645772 A CN116645772 A CN 116645772A
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point
monitoring
customized
data
wine
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张力
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Anhui University
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Anhui University
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    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06VIMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V20/00Scenes; Scene-specific elements
    • G06V20/50Context or environment of the image
    • G06V20/52Surveillance or monitoring of activities, e.g. for recognising suspicious objects
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/10File systems; File servers
    • G06F16/16File or folder operations, e.g. details of user interfaces specifically adapted to file systems
    • G06F16/164File meta data generation
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/10File systems; File servers
    • G06F16/16File or folder operations, e.g. details of user interfaces specifically adapted to file systems
    • G06F16/168Details of user interfaces specifically adapted to file systems, e.g. browsing and visualisation, 2d or 3d GUIs
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/70Information retrieval; Database structures therefor; File system structures therefor of video data
    • G06F16/74Browsing; Visualisation therefor
    • G06F16/743Browsing; Visualisation therefor a collection of video files or sequences
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/70Information retrieval; Database structures therefor; File system structures therefor of video data
    • G06F16/78Retrieval characterised by using metadata, e.g. metadata not derived from the content or metadata generated manually
    • G06F16/7867Retrieval characterised by using metadata, e.g. metadata not derived from the content or metadata generated manually using information manually generated, e.g. tags, keywords, comments, title and artist information, manually generated time, location and usage information, user ratings
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06KGRAPHICAL DATA READING; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
    • G06K17/00Methods or arrangements for effecting co-operative working between equipments covered by two or more of main groups G06K1/00 - G06K15/00, e.g. automatic card files incorporating conveying and reading operations
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q30/00Commerce
    • G06Q30/018Certifying business or products
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06VIMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V10/00Arrangements for image or video recognition or understanding
    • G06V10/70Arrangements for image or video recognition or understanding using pattern recognition or machine learning
    • G06V10/74Image or video pattern matching; Proximity measures in feature spaces
    • G06V10/761Proximity, similarity or dissimilarity measures
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06VIMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V20/00Scenes; Scene-specific elements
    • G06V20/40Scenes; Scene-specific elements in video content
    • G06V20/48Matching video sequences
    • GPHYSICS
    • G08SIGNALLING
    • G08BSIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
    • G08B13/00Burglar, theft or intruder alarms
    • G08B13/18Actuation by interference with heat, light, or radiation of shorter wavelength; Actuation by intruding sources of heat, light, or radiation of shorter wavelength
    • G08B13/189Actuation by interference with heat, light, or radiation of shorter wavelength; Actuation by intruding sources of heat, light, or radiation of shorter wavelength using passive radiation detection systems
    • G08B13/194Actuation by interference with heat, light, or radiation of shorter wavelength; Actuation by intruding sources of heat, light, or radiation of shorter wavelength using passive radiation detection systems using image scanning and comparing systems
    • G08B13/196Actuation by interference with heat, light, or radiation of shorter wavelength; Actuation by intruding sources of heat, light, or radiation of shorter wavelength using passive radiation detection systems using image scanning and comparing systems using television cameras
    • GPHYSICS
    • G08SIGNALLING
    • G08BSIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
    • G08B13/00Burglar, theft or intruder alarms
    • G08B13/18Actuation by interference with heat, light, or radiation of shorter wavelength; Actuation by intruding sources of heat, light, or radiation of shorter wavelength
    • G08B13/189Actuation by interference with heat, light, or radiation of shorter wavelength; Actuation by intruding sources of heat, light, or radiation of shorter wavelength using passive radiation detection systems
    • G08B13/194Actuation by interference with heat, light, or radiation of shorter wavelength; Actuation by intruding sources of heat, light, or radiation of shorter wavelength using passive radiation detection systems using image scanning and comparing systems
    • G08B13/196Actuation by interference with heat, light, or radiation of shorter wavelength; Actuation by intruding sources of heat, light, or radiation of shorter wavelength using passive radiation detection systems using image scanning and comparing systems using television cameras
    • G08B13/19678User interface
    • G08B13/19682Graphic User Interface [GUI] presenting system data to the user, e.g. information on a screen helping a user interacting with an alarm system
    • GPHYSICS
    • G08SIGNALLING
    • G08BSIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
    • G08B13/00Burglar, theft or intruder alarms
    • G08B13/20Actuation by change of fluid pressure
    • YGENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02PCLIMATE CHANGE MITIGATION TECHNOLOGIES IN THE PRODUCTION OR PROCESSING OF GOODS
    • Y02P90/00Enabling technologies with a potential contribution to greenhouse gas [GHG] emissions mitigation
    • Y02P90/30Computing systems specially adapted for manufacturing

Abstract

The application discloses a customized wine base anti-theft anti-migration monitoring analysis system, which relates to the technical field of wine base customization and comprises a weight sensor, a monitoring camera, a data acquisition module, a data analysis module and an abnormal feedback module, wherein the modules are used for carrying out information interaction based on digital signals. The application adopts the cooperation of the weight sensor and the monitoring camera, so that the weight sensor is used for monitoring the weight change of the customized raw wine, and the customized raw wine is ensured not to have larger change in a short period, thereby avoiding the customized raw wine from being stolen or moved in the short period; the application monitors the customized raw wine in real time by using the monitoring camera, and realizes the tracing of the weight change moment of the customized raw wine, namely, when the weight change of the customized raw wine passes through the weight sensor, the customized raw wine image at the current moment is acquired by using the monitoring camera, so as to realize the acquisition of the abnormality, and the feedback acquisition and tracing of the abnormality.

Description

Customized original wine anti-theft anti-migration monitoring analysis system
Technical Field
The application relates to the technical field of base wine customization, in particular to a customized base wine anti-theft and anti-migration monitoring analysis system.
Background
The traditional wine is a liquid formed by mixing brewed base wine, alcohol, essence and water, and proper drinking wine is beneficial to the health of the body, and a large amount of drinking wine can inhibit the respiratory center of a patient and cause respiratory arrest, so that the requirements of partial drinkers on the wine are high, and the industry of customizing the base wine exists.
Specifically, when the wine base is customized, the client is required to select corresponding raw materials for adding according to own tastes, then the customized wine base is manufactured by a customization team, the customized wine base is handed to the client for tasting until the client determines that the tastes of the customized wine base meet the requirements, then the number of the customized wine bases is determined, the wine base is customized according to the requirements of the client, the wine base is stored and brewed, and then the wine base brewed by the wine base is sold to the client, so that the flow of the customized wine base is achieved.
In the above technical scheme, since the raw materials of the customized raw wine are different according to different needs, namely the total value of the customized raw wine is different, if the customized raw wine is stored and brewed, namely the security of the customized raw wine is extremely important, the customized raw wine needs to be subjected to anti-theft treatment, a monitoring camera is usually arranged in a storage wine warehouse, the customized raw wine is monitored by the monitoring camera and is not replaced, but part of carrying personnel can go in and out of the storage wine warehouse, when the carrying personnel steals a small amount of raw wine, the carrying personnel cannot easily observe the raw wine, and due to the fact that the traveling times of the carrying personnel are more, even if the raw wine is known to be stolen, the carrying personnel cannot be easily investigated, and loss which is difficult to trace is caused.
Disclosure of Invention
The application aims to provide a customized raw wine anti-theft anti-migration monitoring analysis system.
The technical problems solved by the application are as follows: the problem that in the prior art, due to the fact that the monitoring camera is only used for realizing burglary prevention, customized raw wine is easy to exchange, and the customized raw wine cannot be opened before delivery, so that the customized raw wine cannot be traced easily after being exchanged is solved.
The application can be realized by the following technical scheme: a customized raw wine anti-theft migration-prevention monitoring analysis system comprises a weight sensor, a monitoring camera, a data acquisition module, a data analysis module and an abnormal feedback module, wherein the modules are in information interaction based on digital signals;
the weight sensor is used for placing customized raw wine and monitoring the weight of the customized raw wine;
the monitoring camera is positioned in the storage library and used for monitoring mobile personnel traveling the storage library;
the data acquisition module is used for acquiring a weight change curve monitored by the weight sensor and a monitoring picture from the monitoring camera;
the data analysis module is used for processing the data from the data acquisition module and acquiring an abnormal feedback record according to the weight change curve and the monitoring picture;
the abnormal feedback module acquires an abnormal feedback record and informs a worker to process the abnormal point position.
The application further technically improves that: the data analysis module comprises a process map building unit, an abnormality diagnosis unit and a signal analysis unit, wherein the units interact through digital signals;
the process map building unit is used for collecting a weight change curve and a monitoring picture, matching the weight change curve to the monitoring picture according to the monitoring time, and storing the obtained mixed picture into the database;
the anomaly diagnosis unit is used for acquiring a mixed picture from the database, automatically analyzing the mixed picture, generating an anomaly data point, analyzing and comparing the anomaly data point with anomaly data in the anomaly database, calculating the similarity, generating a determination point, and storing the determination point in the database;
the signal analysis unit is used for acquiring a determination point from the database, intercepting a mixed picture of the determination point within the range of the set time point, and acquiring personal information of the mobile personnel entering the determination point from the database.
The application further technically improves that: the specific analysis steps of the abnormality diagnosis unit are as follows:
acquiring a mixed picture, respectively acquiring a weight change curve and a monitoring picture in the mixed picture, and monitoring the peak value change of the weight change curve and the change curvature of the weight change curve;
recording the peak value of the weight change curve as a peak value Wt, and recording a monitoring picture of a time point corresponding to Wt as an abnormal data point I when the Wt is monitored to be smaller than WT1 or the WT is monitored to be larger than WT 2;
recording the change curvature of the weight change curve as Kt, and recording a monitoring picture of a time point corresponding to Kt as an abnormal data point II when the Kt is monitored to be larger than KT 1;
acquiring an abnormal data point position I and an abnormal data point position II, respectively intercepting continuous pictures from monitoring pictures corresponding to each abnormal data point position I and each abnormal data point position II, and recording the flow quantity of personnel and the information of the flowing personnel in the continuous pictures;
capturing the position of the customized raw wine on the monitoring picture, judging whether the position of the customized raw wine is blocked or not, if so, performing secondary processing on the abnormal data point to obtain a comparison value, comparing the comparison value with abnormal data in an abnormal database, and if the comparison value is larger than a set value, recording the abnormal data point as a determined point;
WT1< WT2, WT1 and WT2 are set values, KT1 is a set value.
The application further technically improves that: the comparison value is determined by the following steps:
using the formulaObtaining a comparison value, wherein a is a coefficient factor, m2 is the shooting area of the customized raw wine, m1 is the shielded area of the customized raw wine, NZ is the comparison value, and the comparison value is obtained;
invoking range data NZ1 and NZ2 in an abnormal database, wherein NZ1 is greater than NZ2, and judging the size relation between NZ and the range data; when NZ > NZ1, judging the abnormal data point position as a determination point; when NZ2> NZ > NZ1, judging the abnormal data point position as an uncertain point; if NZ is less than NZ1, judging the abnormal point as a normal point;
the determined points and the uncertainty points are stored in a database by data type.
The application further technically improves that: the analysis steps of the signal analysis unit are as follows:
acquiring a determined point and an uncertain point in a database, acquiring a continuous picture intercepted in a monitoring picture corresponding to each determined point and each uncertain point, storing the continuous picture in the database according to the time of the determined point and the uncertain point, and relating the file name of the continuous picture with the names of the determined point and the uncertain point;
acquiring the time of a determined point and an uncertain point, and acquiring information of mobile personnel entering a storage library at the current time point, wherein the information comprises names, work contents, time periods in the storage library and departure time of the storage library of the mobile personnel;
integrating personnel information, a determination point or an uncertainty point and a comparison value into a data packet, and storing the data packet into a database.
The application further technically improves that: the abnormal feedback module comprises the following working steps:
acquiring the determined points and the uncertain points, calling the data packets corresponding to the determined points and the uncertain points, arranging the data packets according to the size of the comparison value, and displaying the data packets on a computer desktop of a worker in the form of desktop icons;
the staff opens the data packet one by one, the mixed picture in the data packet is manually analyzed according to the personnel information to obtain abnormality judgment, if the abnormality judgment is abnormal, the abnormality judgment is associated with the determination point and the uncertainty point, the obtained abnormality judgment is integrated in the data packet, and the data packet is stored; if the abnormality is judged to be abnormal, performing manual processing;
when the customized raw wine is sold to clients, the data package stored in the cloud can be retrieved by printing the two-dimensional code on the bottle.
The application further technically improves that: the working process of the weight sensor comprises the following steps:
placing a weight sensor at a fixed position, placing customized raw wine on the weight sensor, recording the weight sensor as an initial weight G1, obtaining a plurality of groups of intermediate weights Gt according to a standing time T, wherein T is a sampling time, and obtaining a final weight G2 at the time T;
the average weight is obtained by the formulaGP was used as a comparative weight for custom wine base.
The application further technically improves that: the working process of the monitoring camera comprises the following steps:
placing customized raw wine on a placing support, arranging a plurality of placing cavities on each placing frame, placing weight sensors in the placing cavities, transversely and positively placing a plurality of groups of monitoring cameras on the side edges of the placing frames, and monitoring each placing cavity by using the monitoring cameras;
and the monitoring camera calculates the occupied area in the shooting picture of the customized raw wine in each placing cavity according to the shooting angle, and correspondingly records the occupied area in the database.
The application further technically improves that: the wine jar is characterized by further comprising an electronic coded lock, wherein the cover plate of the wine jar for customizing the wine base is controlled by the electronic coded lock, a wireless transmission module is arranged on the electronic coded lock, and signals of the electronic coded lock are sent to a user side through the wireless transmission module.
The application further technically improves that: the electronic coded lock adopts dynamic code control, a dynamic storage module is arranged on the electronic code, a plurality of groups of dynamic codes are arranged in the dynamic storage module, the dynamic codes are changed at regular time, the dynamic storage module obtains abnormal data points, and the dynamic codes are updated at the abnormal data points.
Compared with the prior art, the application has the following beneficial effects:
1. the application adopts the cooperation of the weight sensor and the monitoring camera, so that the weight sensor is used for monitoring the weight change of the customized raw wine, and the customized raw wine is ensured not to have larger change in a short period, thereby avoiding the customized raw wine from being stolen or moved in the short period; the application monitors the customized raw wine in real time by using the monitoring camera, and realizes the tracing of the weight change moment of the customized raw wine, namely, when the weight change of the customized raw wine passes through the weight sensor, the customized raw wine image at the current moment is acquired by using the monitoring camera, so as to realize the acquisition of the abnormality, and the feedback acquisition and tracing of the abnormality.
2. The application adopts the process map building unit, namely, the weight change curve and the monitoring picture are collected, and the weight change curve is matched to the monitoring picture according to the monitoring time, so that the mixed picture is obtained, namely, the picture of each frame can be directly provided with the weight change curve reaching the current frame picture time point, the weight change curve is used for matching the weight of the customized raw wine with the monitoring picture, whether the abnormality occurs or not can be intuitively observed, and the analysis of the abnormality is facilitated.
3. The application adopts the registration of the information of the mobile personnel entering the storage library to judge whether the mobile personnel and the information of the mobile personnel exist in the storage library specifically when the abnormality occurs, thereby being capable of acquiring the reason of the change of the weight of the current customized raw wine according to the investigation, facilitating the realization of tracing when the change of the weight of the customized raw wine occurs, rapidly processing the abnormality and avoiding the problem that whether the customized raw wine is replaced or not is difficult to judge before the customized raw wine is not opened for tasting.
4. The method adopts the determined points and the uncertain points, arranges the determined points and the uncertain points, displays the data packet on the computer desktop of the staff in the form of desktop pictures, can facilitate the staff to judge one by one according to abnormal registration, stores the data packet in the cloud according to the arrangement sequence, and then places the two-dimensional code traced by the cloud on a wine bottle, thereby facilitating the customer to trace and determine the abnormal uncertain points.
5. The application adopts the electronic coded lock to seal the wine jar of the customized wine base, protects the customized wine base through the electronic coded lock, and in the application, the dynamic code is replaced by adopting the dynamic code, namely the code of the electronic coded lock is changed at regular time, and simultaneously the dynamic code is sent to the user side through the wireless transmission module, so that the customized wine base is further prevented from being stolen through the existence of the dynamic code.
Drawings
The present application is further described below with reference to the accompanying drawings for the convenience of understanding by those skilled in the art.
FIG. 1 is a schematic block diagram of the present application;
FIG. 2 is a schematic view of a placement bracket according to the present application;
fig. 3 is a schematic view of a monitoring range of a monitoring camera according to the present application.
In the figure: 1. placing a bracket; 2. a placement cavity; 3. and monitoring the camera.
Detailed Description
In order to further describe the technical means and effects adopted by the application for achieving the preset aim, the following detailed description is given below of the specific implementation, structure, characteristics and effects according to the application with reference to the attached drawings and the preferred embodiment.
Referring to fig. 1-3, a customized wine base anti-theft and anti-migration monitoring analysis system comprises a weight sensor, a monitoring camera, a data acquisition module, a data analysis module and an abnormal feedback module, wherein the modules are in information interaction based on digital signals;
specifically, the inside many emission racks that are provided with of repository, wherein be provided with a plurality of on the rack and place the chamber, wherein place the inside in chamber and evenly placed weight sensor, be provided with weight sensor at every inside the chamber of placing promptly, be used for carrying out real-time supervision to the weight of customization raw liquor, every is placed the chamber and is provided with the opening only one side, can only take out through the customization raw liquor that one side placed the intracavity portion of placing, place multiunit surveillance camera head towards placing chamber open-ended one side, monitor the customization raw liquor with the surveillance camera head, calculate its occupation area in the picture of shooing to every customization raw liquor of placing the intracavity portion according to the angle of shooing through the surveillance camera head, place the area that the customization raw liquor of intracavity portion took of every group and correspond the record in the database.
Meanwhile, access equipment is arranged at the access position of the storage library, namely, mobile staff can access the storage library by swiping access cards, access of the staff is achieved, meanwhile, each access card is uniquely set according to respective users, personal information of the users is stored in each access card, meanwhile, the access cards need to submit applications online before use, the reasons of entering the storage library are recorded, the reasons of entering the storage library in the applications on the line and the personal information in the access are matched through the retrieval of the reasons of entering the storage library and the personal information in the access, the access cards are transmitted to a cloud for storage, the access of the access cards is convenient at any time, and after the staff enters the storage library, the staff passing through the storage rack is monitored through a monitoring camera, namely, the mobile staff used for monitoring the storage library on a trip are monitored.
The data acquisition module is used for acquiring a weight change curve from monitoring of the weight sensor and a monitoring picture from the monitoring camera, then the data analysis module is used for processing data from the data acquisition module, an abnormal feedback record is acquired according to the weight change curve and the monitoring picture, and the abnormal feedback record is acquired by the abnormal feedback module to inform a worker of processing an abnormal point position.
Specifically, a monitoring processing process for the customized raw wine is constructed through the data acquisition module, the data analysis module and the abnormal feedback module, so that the customized raw wine is prevented from being moved and stolen, a placement cavity to which the customized raw wine belongs is acquired through the data acquisition module, and the customized raw wine is monitored in real time, so that information capture of the customized raw wine is realized, meanwhile, data related to the customized raw wine is processed and analyzed in real time through the data analysis module, and the data of the customized raw wine is monitored through the data analysis module due to the fact that the data of the customized raw wine changes along with the change of time.
The data analysis module comprises a process map building unit, an abnormality diagnosis unit and a signal analysis unit, wherein the units interact through digital signals;
the process map building unit is used for collecting weight change curves and monitoring pictures, matching the weight change curves to the monitoring pictures according to the monitoring time, namely, the weight change curves from the starting time to the current time are arranged on the monitoring pictures of each frame, and storing the obtained mixed pictures into the database, namely, when the monitoring pictures of each frame are called, the weight change curves can be directly seen; the anomaly diagnosis unit is used for acquiring a mixed picture from the database, automatically analyzing the mixed picture to generate an anomaly data point, analyzing and comparing the anomaly data point with anomaly data in the anomaly database, calculating the similarity to generate a determination point, and storing the determination point into the database, namely, in the process, when the mixed picture is analyzed, calculating and analyzing through a weight change curve and a shielding protection range, so as to obtain the anomaly data point; the signal analysis unit is used for acquiring a determination point from the database, intercepting a mixed picture of the determination point within the range of the set time point, and acquiring personal information of the mobile personnel entering the determination point from the database, namely integrating the personal information of the mobile personnel and the information of the determination point, so that the mobile personnel can be further analyzed.
The anomaly diagnosis unit is used for acquiring the mixed picture from the database, automatically analyzing the mixed picture to generate an anomaly data point, analyzing and comparing the anomaly data point with anomaly data in the anomaly database, calculating the similarity to generate a determination point, and storing the determination point in the database, so that the specific analysis steps of the anomaly diagnosis unit are as follows: acquiring a mixed picture, respectively acquiring a weight change curve and a monitoring picture in the mixed picture, monitoring the peak value change of the weight change curve and the change curvature of the weight change curve, and respectively analyzing the peak value change and the change curvature of the weight change curve to obtain more accurate weight change moment of the customized wine; recording the peak value of the weight change curve as a peak value Wt, and recording a monitoring picture of a time point corresponding to Wt as an abnormal data point I when the Wt is monitored to be smaller than WT1 or the WT is monitored to be larger than WT 2; recording the change curvature of the weight change curve as Kt, and recording a monitoring picture of a time point corresponding to Kt as an abnormal data point II when the Kt is monitored to be larger than KT 1; acquiring an abnormal data point position I and an abnormal data point position II, respectively intercepting continuous pictures from monitoring pictures corresponding to each abnormal data point position I and each abnormal data point position II, and recording the flow quantity of personnel and the information of the flowing personnel in the continuous pictures; capturing the position of the customized raw wine on the monitoring picture, judging whether the position of the customized raw wine is blocked, if so, performing secondary processing on the abnormal data points formed by the first abnormal data point and the second abnormal data point to obtain a comparison value, comparing the comparison value with the abnormal data in the abnormal database, and if the comparison value is larger than a set value, recording the abnormal data point as a determination point; WT1< WT2, WT1 and WT2 are set values, KT1 is a set value;
i.e. using formulasObtaining a comparison value, wherein a is a coefficient factor, m2 is the shooting area of the customized raw wine, m1 is the shielded area of the customized raw wine, NZ is the comparison value, and the comparison value is obtained; retrieving range data NZ1 and NZ2, NZ1 in an exception database>NZ2, judging the size relation between NZ and range data; when NZ>When NZ1 is adopted, judging the abnormal data point position as a determination point; when NZ2>NZ>Judging the abnormal data point location as an uncertain point when NZ1 is adopted; if NZ<NZ1, judging the abnormal point as a normal point; the method comprises the steps of storing the determined points and the uncertain points into a database according to data types, wherein the determined points in the database are placed in a determined abnormal database, the uncertain points are placed in a non-necessary database, and when the method is used, the data in the determined database and the data in the non-necessary database are called, and when the method is called, the data are ordered, and when the data in the non-necessary database are arranged after the data in the determined database.
The specific processing procedure of the determining library and the non-necessary library is an analysis step of a signal analysis unit, specifically, a determining point in the determining library and an uncertainty point in the non-necessary library are obtained, continuous pictures intercepted in monitoring pictures corresponding to each determining point and the uncertainty point are obtained, the continuous pictures are stored in a database according to the time of the determining point and the uncertainty point, the file naming of the continuous pictures is associated with the naming of the determining point and the uncertainty point, namely, the continuous pictures are named as a determining point number+picture time and an uncertainty point number+picture time; acquiring the time of a determined point and an uncertain point, and acquiring information of mobile personnel entering a storage library at the current time point, wherein the information comprises names, work contents, time periods in the storage library and departure time of the storage library of the mobile personnel; the continuous pictures and the flowing personnel information are subjected to aggregation processing, namely the personnel information, the determined points or the uncertain points and the comparison values are integrated into data packets, the data packets are stored in a database, and the data packets are named as the determined point number, the picture time, the flowing personnel name or the uncertain point number, the picture time and the flowing personnel name.
In order to realize the processing feedback of the abnormal data, the abnormal feedback module comprises the following working steps: acquiring a determined point and an uncertain point, calling the data packets corresponding to the determined point and the uncertain point, arranging the data packets according to the size of a comparison value, arranging the determined point in front of the uncertain point at the moment, arranging the determined point in sequence according to the size of the comparison value, arranging the uncertain point in front according to the size of the comparison value, arranging the uncertain point in sequence according to the size of the comparison value, displaying the data packets on a computer desktop of a worker in a desktop icon mode, and giving an early warning, wherein the desktop icon is provided with a flashing point for prompting the worker until the worker opens the desktop icon to obtain a set of the determined point and the uncertain point; the staff opens the data packet one by one, the mixed picture in the data packet is manually analyzed according to the personnel information to obtain abnormality judgment, namely judging whether the current weight data is abnormal, if the abnormality judgment is abnormal, associating the abnormality judgment with the determination point and the uncertainty point, integrating the obtained abnormality judgment in the data packet, and storing the data packet; if the abnormality is judged to be abnormal, manually processing, and tracing the customized raw wine, wherein the data packet is stored in the cloud end, specific information sets of the determined points and the uncertain points are integrated in the data packet, and sorting can be selected according to time sorting or according to comparison values; when the customized raw wine is sold to clients, the data package stored in the cloud can be retrieved by printing the two-dimensional code on the bottle.
For obtaining the weight of the customized base wine by using the weight sensor, the working process of the weight sensor includes: placing a weight sensor at a fixed position, placing customized raw wine on the weight sensor, recording the weight sensor as an initial weight G1, obtaining a plurality of groups of intermediate weights Gt according to a standing time T, wherein T is a sampling time, and obtaining a final weight G2 at the time T; the average weight is obtained by the formulaGP is used as the comparison weight of the customized raw wine, namely when the quality of the customized raw wine is lower than GP or higher than GP, the weight of the customized raw wine is abnormal, and people touch the customized raw wine or the customized raw wine suddenly changes in a short period of time, so that the weight abnormality can be monitored in real time.
In order to achieve the acquisition of the picture and the monitoring of the personnel in and out, the working process of the monitoring camera comprises the following steps: placing customized raw wine on a placing support, arranging a plurality of placing cavities on each placing frame, placing weight sensors in the placing cavities, transversely and positively placing a plurality of groups of monitoring cameras on the side edges of the placing frames, and monitoring each placing cavity by using the monitoring cameras; and the monitoring camera calculates the occupied area in the shooting picture of the customized raw wine in each placing cavity according to the shooting angle, and correspondingly records the occupied area in the database.
As a further embodiment of the application, the electronic coded lock is arranged at the sealing position on the wine jar, wherein the electronic coded lock is controlled by a dynamic code, and the electronic code has a wireless transmission function, so that the wine jar can be remotely opened.
The specific dynamic passwords are stored in a dynamic storage module, a plurality of groups of dynamic passwords are arranged in the dynamic storage module, the dynamic passwords are updated automatically according to set time, and the sealing position of the wine jar is protected through updating the dynamic passwords. The method comprises the steps of setting a weight sensor, wherein the weight sensor is used for acquiring a weight value of the weight sensor, and the weight sensor is used for replacing a dynamic password, and updating the dynamic password according to the set updating time and according to the condition that the weight sensor is located at an abnormal data point position, and transmitting the current dynamic password to a user end through a wireless transmission function, so that the user end can acquire the current dynamic password conveniently.
In the process, when the weight detected by the weight sensor changes, the abnormal data point position is processed, the dynamic password is updated, and the dual protection of the wine jar is realized by using the electronic password lock.
The present application is not limited to the above embodiments, but is capable of modification and variation in all aspects, including those of ordinary skill in the art, without departing from the spirit and scope of the present application.

Claims (10)

1. A customized raw wine anti-theft anti-migration monitoring analysis system is characterized in that: the system comprises a weight sensor, a monitoring camera, a data acquisition module, a data analysis module and an abnormal feedback module, wherein the modules are used for carrying out information interaction based on digital signals;
the weight sensor is used for placing customized raw wine and monitoring the weight of the customized raw wine;
the monitoring camera is positioned in the storage library and used for monitoring mobile personnel of the travel storage library;
the data acquisition module is used for acquiring a weight change curve monitored by the weight sensor and a monitoring picture from the monitoring camera;
the data analysis module is used for processing the data from the data acquisition module and acquiring an abnormal feedback record according to the weight change curve and the monitoring picture;
the abnormal feedback module acquires an abnormal feedback record and informs a worker to process the abnormal point position.
2. The customized wine base anti-theft and anti-migration monitoring and analyzing system according to claim 1, wherein the data analyzing module comprises a process map building unit, an abnormality diagnosis unit and a signal analyzing unit, wherein the units interact through digital signals;
the process map building unit is used for collecting a weight change curve and a monitoring picture, matching the weight change curve to the monitoring picture according to the monitoring time, and storing the obtained mixed picture into a database;
the anomaly diagnosis unit is used for acquiring a mixed picture from the database, automatically analyzing the mixed picture to generate an anomaly data point, analyzing and comparing the anomaly data point with anomaly data in the anomaly database, calculating the similarity, generating a determination point, and storing the determination point in the database;
the signal analysis unit is used for acquiring a determination point from the database, intercepting a mixed picture of the determination point within the range of the set time point, and acquiring personal information of the mobile personnel entering the determination point from the database.
3. The customized wine base anti-theft and anti-migration monitoring and analyzing system according to claim 1, wherein the specific analyzing steps of the abnormality diagnosing unit are as follows:
acquiring a mixed picture, respectively acquiring a weight change curve and a monitoring picture in the mixed picture, and monitoring the peak value change of the weight change curve and the change curvature of the weight change curve;
recording the peak value of the weight change curve as a peak value Wt, and recording a monitoring picture of a time point corresponding to Wt as an abnormal data point I when the Wt is monitored to be smaller than WT1 or the WT is monitored to be larger than WT 2;
recording the change curvature of the weight change curve as Kt, and recording a monitoring picture of a time point corresponding to Kt as an abnormal data point II when the Kt is monitored to be larger than KT 1;
acquiring an abnormal data point position I and an abnormal data point position II, respectively intercepting continuous pictures from monitoring pictures corresponding to each abnormal data point position I and each abnormal data point position II, and recording the flow quantity of personnel and the information of the flowing personnel in the continuous pictures;
capturing the position of the customized raw wine on the monitoring picture, judging whether the position of the customized raw wine is blocked or not, if so, performing secondary processing on the abnormal data point to obtain a comparison value, comparing the comparison value with abnormal data in an abnormal database, and if the comparison value is larger than a set value, recording the abnormal data point as a determined point;
WT1< WT2, WT1 and WT2 are set values, KT1 is a set value.
4. A custom wine base anti-theft and anti-migration monitoring and analyzing system according to claim 3, wherein the step of determining the comparison value is:
using the formulaObtaining a comparison value, wherein a is a coefficient factor, m2 is the shooting area of the customized raw wine, m1 is the shielded area of the customized raw wine, NZ is the comparison value, and the comparison value is obtained;
invoking range data NZ1 and NZ2 in an abnormal database, wherein NZ1 is larger than NZ2, and judging the size relation between NZ and the range data; when NZ > NZ1, judging the abnormal data point position as a determination point; when NZ2> NZ > NZ1, judging the abnormal data point position as an uncertain point; if NZ is less than NZ1, judging the abnormal point as a normal point;
the determined points and the uncertainty points are stored in a database by data type.
5. The customized wine base anti-theft and anti-migration monitoring and analyzing system according to claim 1, wherein the signal analyzing unit comprises the following analyzing steps:
acquiring a determined point and an uncertain point in a database, acquiring a continuous picture intercepted in a monitoring picture corresponding to each determined point and each uncertain point, storing the continuous picture in the database according to the time of the determined point and the uncertain point, and relating the file name of the continuous picture with the names of the determined point and the uncertain point;
acquiring the time of a determined point and an uncertain point, and acquiring information of mobile personnel entering a storage library at the current time point, wherein the information comprises names, work contents, time periods in the storage library and departure time of the storage library of the mobile personnel;
integrating personnel information, a determination point or an uncertainty point and a comparison value into a data packet, and storing the data packet into a database.
6. The customized wine base anti-theft and anti-migration monitoring and analyzing system according to claim 1, wherein the abnormal feedback module comprises the following working steps:
acquiring the determined points and the uncertain points, calling the data packets corresponding to the determined points and the uncertain points, arranging the data packets according to the size of the comparison value, and displaying the data packets on a computer desktop of a worker in the form of desktop icons;
the staff opens the data packet one by one, the mixed picture in the data packet is manually analyzed according to the personnel information to obtain abnormality judgment, if the abnormality judgment is abnormal, the abnormality judgment is associated with the determination point and the uncertainty point, the obtained abnormality judgment is integrated in the data packet, and the data packet is stored; if the abnormality is judged to be abnormal, performing manual processing;
when the customized raw wine is sold to clients, the data package stored in the cloud can be retrieved by printing the two-dimensional code on the bottle.
7. The customized base wine anti-theft and anti-migration monitoring and analyzing system according to claim 1, wherein the working process of the weight sensor comprises:
placing a weight sensor at a fixed position, placing customized raw wine on the weight sensor, recording the weight sensor as an initial weight G1, obtaining a plurality of groups of intermediate weights Gt according to a standing time T, wherein T is a sampling time, and obtaining a final weight G2 at the time T;
the average weight is obtained by the formulaGP was used as a comparative weight for custom wine base.
8. The customized wine base anti-theft and anti-migration monitoring and analyzing system according to claim 1, wherein the working process of the monitoring camera comprises the following steps:
placing customized raw wine on a placing support, arranging a plurality of placing cavities on each placing frame, placing weight sensors in the placing cavities, transversely and positively placing a plurality of groups of monitoring cameras on the side edges of the placing frames, and monitoring each placing cavity by using the monitoring cameras;
and the monitoring camera calculates the occupied area in the shooting picture of the customized raw wine in each placing cavity according to the shooting angle, and correspondingly records the occupied area in the database.
9. The customized wine base anti-theft and anti-migration monitoring analysis system according to claim 1, further comprising an electronic coded lock, wherein the electronic coded lock is used for controlling a cover plate of a wine jar of the customized wine base, a wireless transmission module is arranged on the electronic coded lock, and a signal of the electronic coded lock is sent to a user side through the wireless transmission module.
10. The customized wine base anti-theft and anti-migration monitoring analysis system according to claim 9, wherein the electronic coded lock is controlled by a dynamic code, a dynamic storage module is arranged on the electronic code, a plurality of groups of dynamic codes are arranged in the dynamic storage module, the dynamic codes are changed in a timing manner, the dynamic storage module obtains abnormal data points, and the dynamic codes are updated in the abnormal data points.
CN202310658885.3A 2023-06-06 2023-06-06 Customized original wine anti-theft anti-migration monitoring analysis system Pending CN116645772A (en)

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Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN117649642A (en) * 2024-01-29 2024-03-05 深圳市瀚晖威视科技有限公司 Abnormal behavior analysis method and system based on multiple video cameras

Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN117649642A (en) * 2024-01-29 2024-03-05 深圳市瀚晖威视科技有限公司 Abnormal behavior analysis method and system based on multiple video cameras
CN117649642B (en) * 2024-01-29 2024-04-05 深圳市瀚晖威视科技有限公司 Abnormal behavior analysis method and system based on multiple video cameras

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