Compact shelving safety monitoring system and method based on cloud platform

Abstract

The invention relates to the technical field of safety monitoring, in particular to a compact shelving safety monitoring system and method based on a cloud platform, and the system comprises a circulation rule making module, a user side data exception analysis module, an associated user evaluation and early warning signal generation module and an associated user calibration module. And the user side data anomaly analysis module is used for extracting an analysis result of the circulation rule making module, sequentially analyzing corresponding comprehensive anomaly values when the historical archive information of the corresponding user is circulated in combination with the analysis result, and generating a calibration sequence in combination with the analysis result. According to the method, abnormal users are eliminated in combination with the analysis result, the block interaction environment is monitored in real time, and whether the user operation behavior is abnormal or not is judged in real time in combination with the monitoring result, so that block interaction time delay caused by abnormal operation of the client is avoided, and the interaction efficiency of the to-be-anchored article provider is improved.

Description

Technical Field

[0001] The present invention relates to the technical field of safety monitoring, and specifically to a safety monitoring system and method for compact shelves based on a cloud platform. Background Art

[0002] In the fields of modern archive management and data storage, as an efficient and commonly used storage device, compact shelves are widely used in various archives, libraries, enterprise and institution archives, etc. With the development of information technology, intelligent compact shelves have gradually replaced traditional manual compact shelves, integrating a computer-controlled multi-functional system, meeting the requirements of modernization, digitization, and standardization of archive or item management. However, during the use of compact shelves, safety issues are of crucial importance, and safety monitoring technologies have emerged and continuously developed;

[0003] In the prior art, the use of compact shelves is mostly user's subjective operation, and the user's interaction behavior greatly affects the safety of compact shelves. However, the prior art mostly focuses on the impact of user entity operations and does not often achieve safety supervision through the user interaction data and archive data recorded by compact shelves, lacking pre-analysis; the safety supervision of compact shelves is not digital and intelligent enough. Summary of the Invention

[0004] The purpose of the present invention is to provide a safety monitoring system and method for compact shelves based on a cloud platform to solve the problems raised in the prior art.

[0005] To achieve the above purpose, the present invention provides the following technical solutions:

[0006] A safety monitoring method for compact shelves based on a cloud platform, the method comprising the following steps:

[0007] S1. Obtain the block interaction information in the compact shelf monitoring platform, combine the interaction information to obtain the user information associated with the item to be anchored, and analyze the feasible interval of the continuous duration of the corresponding archive information circulation according to the historical circulation situation of the archive information of the item provider to be anchored;

[0008] S2. Extract the associated user information in S1, preprocess the extracted user information, and successively analyze the corresponding comprehensive outliers when the corresponding user historical archive information circulates in combination with the preprocessing results, and generate a calibration sequence in combination with the analysis results;

[0009] S3. Based on the analysis results in S1 and S2, calculate the preliminary evaluation values for each associated user in the calibration sequence, update the calibration sequence in combination with the calculation results, and determine whether the elements in the updated calibration sequence meet the standards, and generate a warning signal according to the judgment result;

[0010] S4. Based on the analysis results in S3, the warning signal status is monitored in real time, and the best interactive user is generated in combination with the monitoring results.

[0011] Furthermore, the method in S1 includes the following steps:

[0012] Step 1001: Obtain the block interaction information in the intensive rack monitoring platform, extract the users associated with the item W to be anchored from the interaction information, and generate a record sequence A in combination with the interaction mechanism of the intensive rack monitoring platform W ,

[0013]

[0014] where represents the nth user associated with the item to be anchored, and n represents the number of users associated with the item W to be anchored in the interaction information;

[0015] Step 1002: Extract the provider information corresponding to the item W to be anchored in the block interaction information in the intensive rack monitoring platform, obtain the historical circulation situation of the file information of the provider of the item W to be anchored in combination with the information, and analyze the change situation of the corresponding file information circulation of the provider of the item W to be anchored.

[0016] Taking point o as the origin, with the number of file information circulations as the x-axis and the duration of file information circulation as the y-axis, construct a first plane rectangular coordinate system. In the first plane rectangular coordinate system, mark the coordinate points of the duration of each execution of file information circulation by the provider of the item W to be anchored, and connect the adjacent two coordinate points in sequence to generate a broken line;

[0017] Step 1003: Obtain the standard time interval of file information circulation in the intensive rack monitoring platform, denoted as [0, α], where α is a preset value in the database.

[0018] In the first plane rectangular coordinate system, mark the curve corresponding to the file information circulation duration of α, and translate the curve parallel to the x-axis up and down in the first plane rectangular coordinate system, and mark the boundary points of the curve and the broken line, denoted as Y min and Y max , and based on the analysis results of Step 1002, generate the file information circulation rule interval of the provider of the item W to be anchored, denoted as Q W ,

[0019] Q W =[Y min , Y max .

[0020] The present invention obtains block interaction information in a dense shelving monitoring platform, extracts users associated with the items to be anchored in the interaction information, extracts provider information corresponding to the items to be anchored in the block interaction information in the dense shelving monitoring platform, and obtains the historical circulation of archival information of the provider of the items to be anchored in combination with the information. By analyzing the changes in the circulation of the corresponding archival information of the provider of the items to be anchored, the circulation rule interval of the archival information of the provider of the items to be anchored is obtained, thereby providing data reference for subsequent matching of the best associated users.

[0021] Furthermore, the method in S2 comprises the following steps:

[0022] Step 2001: Extract the sequence A generated in step 1001 W The first associated user in the database obtains the historical circulation record of the first associated user's profile information, and records the corresponding data of each execution of profile information circulation to generate a collection

[0023]

[0024] in represents the archive information recorded in the mth execution of archive information circulation by the first associated user, where m represents the total number of archive information circulations executed by the corresponding associated user;

[0025] Step 2002: Based on the analysis result of step 2001, analyze the comprehensive abnormal value of the first associated user when circulating the archive information, which is recorded as X1.

[0026]

[0027] Wherein γ1 and γ2 both represent proportional coefficients, and the proportional coefficients are preset values ​​in the database. Indicates the number of timeouts in the historical circulation record of the first associated user profile information. Indicates the duration of the i-th execution of archive information circulation by the first associated user;

[0028] Step 2003: loop through steps 2001 and 2002 to obtain sequence A W The corresponding comprehensive abnormal value of each associated user in the sequence is determined, and whether the corresponding associated user comprehensive abnormal value is in the preset interval is determined in turn. If the associated user comprehensive abnormal value is in the preset interval, it indicates that the corresponding associated user has no abnormal behavior. If the associated user comprehensive abnormal value is not in the preset interval, it indicates that the corresponding associated user has abnormal behavior, and the corresponding associated user is blacklisted, and the sequence is updated in real time to generate a calibration sequence A. W , denoted as A W(*) :

[0029]

[0030] wherein represents the j-th associated user of the item to be anchored in the calibration sequence.

[0031] The present invention obtains the historical circulation records of the profile information of the associated users corresponding to the item to be anchored, analyzes the comprehensive outliers of the corresponding associated users during the process of profile information circulation in combination with the historical circulation records of the profile information, and preliminarily eliminates the abnormal associated users in combination with the analysis results, providing data reference for subsequent matching of the best associated users.

[0032] Further, the method in S3 includes the following steps:

[0033] Step 3001: Obtain the analysis result in step 2003, obtain the first associated user in the calibration sequence, and analyze the preliminary evaluation value of the first associated user, denoted as Estimate1.

[0034] Estimate1 = σ r Start1 + σ2Number1,,

[0035] where both σ1 and σ2 represent proportionality coefficients, and the proportionality coefficients are preset values in the database. Start i represents the registration duration of the first associated user, and Number1 represents the number of times the profile information of the first associated user circulates;

[0036] Step 3002: Loop step 3001 to obtain the corresponding preliminary evaluation values of each element in the calibration sequence, and update the calibration sequence in ascending order of the preliminary evaluation values to generate set C.

[0037] C = (C1, C2, C3,..., C k ), k = j,

[0038] where represents the preliminary evaluation value corresponding to the k-th associated user in the updated calibration sequence;

[0039] Step 3003: Extract the first element in set C as the first associated user of the provider of the current item to be anchored W for lock-up, and record the duration of the profile information circulation of the first associated user during the execution of the profile information circulation, denoted as Reputation1.

[0040]

[0041] wherein represents the duration of the first execution of the profile information circulation when the first associated user is locked up, represents the duration of the second execution of the profile information circulation when the first associated user is locked up, and if() represents a conditional judgment function. When If When If And

[0042] Step 3004: Based on the analysis result of Step 3003, determine whether the duration of file information circulation of the first associated user during the execution of file information circulation is within the range of the file information circulation rule of the provider of the item to be anchored,

[0043] If the duration of file information circulation of the first associated user during the execution of file information circulation is not within the range of the file information circulation rule of the provider of the item to be anchored, then send a warning signal,

[0044] If the duration of file information circulation of the first associated user during the execution of file information circulation is within the range of the file information circulation rule of the provider of the item to be anchored, then complete the file information circulation.

[0045] The present invention conducts a preliminary evaluation on the associated users in the calibration sequence in turn, updates the order of the calibration sequence in combination with the evaluation values, and then generates the best associated user prediction value, providing a data reference for judging the rationality of the selected best associated user in the subsequent stage.

[0046] Furthermore, the method in S4 calibrates the first associated user in real time by monitoring the status of the warning signal and combining the monitoring results. When the system receives a warning signal, it interrupts the locked position state with the first associated user, marks the corresponding associated user, and at the same time uses the element after the marked associated user in set C as the new first associated user to execute the locked position. If the new first associated user completes the file information circulation, it is determined that the new first associated user is the best interaction user of the provider of the item to be anchored.

[0047] A security monitoring system for mobile racks based on a cloud platform, the system includes the following steps:

[0048] Circulation rule formulation module: The circulation rule formulation module is used to obtain the block interaction information in the mobile rack monitoring platform, obtain the user information associated with the item to be anchored in combination with the interaction information, and analyze the feasible range of the corresponding file information circulation duration according to the historical file information circulation situation of the provider of the item to be anchored;

[0049] User - end data anomaly analysis module: The user - end data anomaly analysis module is used to extract the analysis result of the circulation rule formulation module, analyze the corresponding comprehensive anomaly values during the historical file information circulation of the corresponding users in turn in combination with the analysis result, and generate a calibration sequence in combination with the analysis result;

[0050] Associated User Evaluation and Early Warning Signal Generation Module: The associated user evaluation and early warning signal generation module is used to comprehensively analyze the analysis results of the circulation rule formulation module and the user - end data anomaly analysis module, calculate the preliminary evaluation values for each associated user in the calibration sequence, update the calibration sequence based on the calculation results, and determine whether the elements in the updated calibration sequence meet the standards, and generate early warning signals according to the judgment results;

[0051] Associated User Calibration Module: The associated user calibration module is used to combine the analysis results of the associated user evaluation and early warning signal generation module, monitor the status of the early warning signal in real - time, and calibrate the first associated user in combination with the monitoring results.

[0052] Further, the circulation rule formulation module includes a data acquisition unit and a rule formulation unit:

[0053] The data acquisition unit is used to obtain the block interaction information in the dense rack monitoring platform, obtain the historical circulation situation of the file information of the provider corresponding to the item to be anchored in combination with the interaction information, and pre - process the acquired data;

[0054] The rule formulation unit is used to generate the circulation rule interval of the file information of the provider corresponding to the item to be anchored in combination with the analysis results of the data acquisition unit.

[0055] Further, the user - end data anomaly analysis module includes an associated user data analysis unit and a comprehensive anomaly value analysis unit:

[0056] The associated user data analysis unit is used to extract the historical circulation records of the associated user file information of the data acquisition unit and pre - process the extracted data;

[0057] The comprehensive anomaly value analysis unit is used to analyze the corresponding comprehensive anomaly values in the process of the file information flow of the associated user in combination with the analysis results of the associated user data analysis unit and the pre - processing results.

[0058] Further, the associated user evaluation and early warning signal generation module includes a preliminary evaluation unit and a sequence calibration unit:

[0059] The preliminary evaluation unit is used to calculate the initial evaluation values for different associated users in turn in combination with the analysis results of the comprehensive anomaly value analysis unit;

[0060] The sequence calibration unit is used to adjust the sequence order of the associated user numbers in real - time in combination with the analysis results of the preliminary evaluation unit.

[0061] Further, the associated user calibration module includes an early warning signal receiving unit and an early warning signal cancellation unit:

[0062] The warning signal receiving unit is used to monitor the status of warning signals in real time and receive warning signals in real time in combination with the monitoring results;

[0063] The warning signal cancellation unit is used to match the best associated user according to the analysis result of the warning signal receiving unit.

[0064] Compared with the prior art, the beneficial effects of the present invention are:

[0065] By analyzing the interaction status of corresponding users in the interaction of the compact shelf monitoring platform in real time, the present invention eliminates abnormal users in combination with the analysis results. Based on the preliminarily screened users, the interaction environment of the compact shelf monitoring platform is analyzed in real time, and it is judged in real time whether there are abnormalities in the user operation behavior in combination with the monitoring results, thereby avoiding the delay of the interaction time of the compact shelf monitoring platform caused by abnormal user operations, and thus improving the interaction efficiency of the item provider to be anchored. BRIEF DESCRIPTION OF THE DRAWINGS

[0066] Figure 1 is a schematic flow chart of the compact shelf safety monitoring method based on the cloud platform of the present invention;

[0067] Figure 2 is a schematic module diagram of the compact shelf safety monitoring system based on the cloud platform of the present invention. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0068] Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative efforts shall fall within the protection scope of the present invention.

[0069] The present invention provides Embodiment 1: Please refer to Figure 1 , in this embodiment:

[0070] A compact shelf safety monitoring method based on a cloud platform, the method comprising the following steps:

[0071] S1. Obtain the block interaction information in the compact shelf monitoring platform, obtain the user information associated with the item to be anchored in combination with the interaction information, and analyze the feasible interval of the circulation duration of the corresponding file information according to the historical circulation situation of the file information of the item provider to be anchored;

[0072] The method in S1 includes the following steps:

[0073] Step 1001. Obtain the block interaction information in the compact shelf monitoring platform, extract the users associated with the item W to be anchored from the interaction information, and generate a record sequence A in combination with the interaction mechanism of the compact shelf monitoring platform W ,

[0074]

[0075] where the nth associated user with the item to be anchored is represented, and n represents the number of users associated with the item to be anchored W in the interaction information;

[0076] Step 1002: Extract the provider information corresponding to the item to be anchored W in the block interaction information of the dense rack monitoring platform, combine the information to obtain the historical circulation situation of the file information of the provider of the item to be anchored W, and analyze the corresponding circulation change situation of the file information of the provider of the item to be anchored W.

[0077] Taking point o as the origin, taking the number of file information circulations as the x-axis, and taking the duration of file information circulation as the y-axis, construct a first plane rectangular coordinate system. In the first plane rectangular coordinate system, mark the coordinate points of the duration of each file information circulation of the provider of the item to be anchored W, and connect adjacent two coordinate points in sequence to generate a broken line.

[0078] Step 1003: Obtain the standard time interval of file information circulation in the dense rack monitoring platform, denoted as [0, α], where α is a preset value in the database.

[0079] In the first plane rectangular coordinate system, mark the curve corresponding to the file information circulation duration of α, and translate the curve parallel to the x-axis up and down in the first plane rectangular coordinate system, and mark the boundary points of the curve and the broken line, denoted as Y min and Y max , and based on the analysis result of Step 1002, generate the file information circulation rule interval of the provider of the item to be anchored W, denoted as Q W ,

[0080] Q W =[Y min , Y max .

[0081] S2: Extract the associated user information in S1, preprocess the extracted user information, and analyze the corresponding comprehensive outliers during the historical file information circulation of the corresponding users in sequence, and generate a calibration sequence based on the analysis result.

[0082] The method in S2 includes the following steps:

[0083] Step 2001: Extract the first associated user in the sequence A generated in Step 1001 W , obtain the historical circulation record of the file information of the first associated user, and record the corresponding data for each execution of file information circulation to generate a set

[0084]

[0085] where It represents the file information recorded during the m-th execution of file information circulation by the first associated user, where m represents the total number of times the corresponding associated user executes file information circulation;

[0086] Step 2002: Based on the analysis result of Step 2001, analyze the comprehensive outlier value when the first associated user conducts file information circulation, denoted as X1.

[0087]

[0088] Among them, both γ1 and γ2 represent proportionality coefficients, and the proportionality coefficients are preset values in the database. It represents the number of overtime occurrences in the historical file information circulation records of the first associated user. It represents the duration of the i-th execution of file information circulation by the first associated user.

[0089] Step 2003: Repeat Steps 2001 - 2002 to obtain sequence A W For each associated user's corresponding comprehensive outlier value in the sequence A, successively determine whether the associated user's comprehensive outlier value is within the preset interval. If the associated user's comprehensive outlier value is within the preset interval, it indicates that the corresponding associated user has no abnormal behavior. If the associated user's comprehensive outlier value is not within the preset interval, it indicates that the corresponding associated user has abnormal behavior, and add the corresponding associated user to the blacklist, and update the sequence in real time to generate a calibrated sequence A W , denoted as A W(*) :

[0090]

[0091] Among them It represents the j-th associated user with the item to be anchored in the calibrated sequence.

[0092] S3: Based on the analysis results in S1 and S2, calculate the preliminary evaluation value for each associated user in the calibrated sequence, update the calibrated sequence based on the calculation results, and determine whether the elements in the updated calibrated sequence meet the standards, and generate a warning signal according to the judgment result;

[0093] The method in S3 includes the following steps:

[0094] Step 3001: Obtain the analysis result in Step 2003, obtain the first associated user in the calibrated sequence, and analyze the preliminary evaluation value of the first associated user, denoted as Estimate1.

[0095] Estimate1 = σ r Start1 + σ2Number1,

[0096] Among them, both σ1 and σ2 represent proportionality coefficients, and the proportionality coefficients are preset values in the database, Start i represents the registration duration of the first associated user, and Number1 represents the number of times the file information of the first associated user circulates;

[0097] Step 3002: Obtain the corresponding preliminary evaluation values of each element in the calibration sequence by looping through Step 3001, and update the calibration sequence in ascending order of the preliminary evaluation values to generate set C,

[0098] C = (C1, C2, C3,..., C k ), k = j,

[0099] where represents the preliminary evaluation value corresponding to the k-th associated user in the updated calibration sequence;

[0100] Step 3003: Extract the first element in set C as the first associated user of the current item W to be anchored for locking. Record the duration of the file information circulation during the execution of the file information flow of the first associated user as Reputation1,

[0101]

[0102] Among them represents the duration of the first execution of the file information circulation when the first associated user is locked, represents the duration of the second execution of the file information circulation when the first associated user is locked, and ifO represents a conditional judgment function. When then When then and

[0103] Step 3004: Based on the analysis result of Step 3003, determine whether the duration of the file information circulation during the execution of the file information flow of the first associated user is within the file information circulation rule interval of the item W to be anchored,

[0104] If the duration of the file information circulation during the execution of the file information flow of the first associated user is not within the file information circulation rule interval of the item provider to be anchored, a warning signal is issued,

[0105] If the duration of the file information circulation during the execution of the file information flow of the first associated user is within the file information circulation rule interval of the item provider to be anchored, the file information circulation is completed.

[0106] S4. Based on the analysis results in S3, the warning signal status is monitored in real time, and the best interactive user is generated in combination with the monitoring results.

[0107] The method in S4 calibrates the first associated user in real time by monitoring the warning signal status in real time and combining the monitoring results. When the system receives a warning signal, the locked position status with the first associated user is interrupted, and the corresponding associated user is marked. At the same time, the element after the marked associated user in set C is used as the new first associated user to execute the locked position. If the new first associated user completes the circulation of the file information, it is determined that the new first associated user is the best interactive user for the item to be anchored.

[0108] In this embodiment: A security monitoring system for compact shelves based on a cloud platform is disclosed (as Figure 2 shown), and the system is used to implement the specific scheme content of the method.

[0109] Embodiment 2: In the block interaction information of the compact shelf monitoring platform, the users associated with the item to be anchored are A, B, and C. By analyzing the historical circulation of the file information of the provider of the item to be anchored, the corresponding file information circulation rule interval of the provider of the item to be anchored is obtained, denoted as Q W ,

[0110] The historical circulation records of the file information of user A, user B, and user C are extracted respectively, and the comprehensive anomaly values corresponding to the process of each user's file information circulation are analyzed in turn by calculation, denoted as X A , X B and X C ,

[0111] Among them Among them If it is greater than the preset value, user A will be included in the blacklist, and user B and user C will be retained. Further, a preliminary evaluation is carried out on user B and user C, denoted as Reputation B and Reputation C ,

[0112] The duration of the file information circulation of the corresponding user during the execution of the file information circulation process is calculated respectively, denoted as Repuation B and Reputation C ,

[0113]

[0114] When then When then

[0115] When When When When

[0116] Finally, it should be noted that the above are only the preferred embodiments of the present invention and are not used to limit the present invention. Although the present invention has been described in detail with reference to the foregoing embodiments, those skilled in the art can still modify the technical solutions recorded in the foregoing embodiments or perform equivalent replacements for some of the technical features. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present invention shall be included in the protection scope of the present invention.

Claims

1. A cloud platform-based compact shelving safety monitoring method, characterized in that: The method comprises the following steps: S1. Obtain the block interaction information in the compact shelving monitoring platform, obtain the user information associated with the item to be anchored in combination with the interaction information, and analyze the feasible interval of the continuous circulation duration of the corresponding archive information according to the historical circulation of the archive information of the provider of the item to be anchored; S2, extracting the user information associated in S1, preprocessing the extracted user information, analyzing the corresponding comprehensive abnormal values ​​of the corresponding user historical archive information circulation in combination with the preprocessing results, and generating a calibration sequence in combination with the analysis results; S3, extracting the calibration sequence generated in S2, performing preliminary evaluation value calculation for each associated user in the calibration sequence, updating the calibration sequence based on the calculation results, and determining whether the elements in the updated calibration sequence meet the standards, and generating a warning signal according to the determination results; S4. Based on the judgment result in S3, the state of the early warning signal is monitored in real time, and the best interactive user is generated in combination with the monitoring result.

2. The cloud platform-based compact shelving safety monitoring method according to claim 1 is characterized in that: The method in S1 comprises the following steps: Step 1001: Obtain block interaction information in the compact rack monitoring platform, extract users associated with the object W to be anchored in the interaction information, and generate a record sequence A in combination with the compact rack monitoring platform interaction mechanism. W , Where represents the nth user associated with the item to be anchored, and n represents the number of users associated with the item to be anchored W in the interaction information; Step 1002: extract the provider information corresponding to the to-be-anchored item W from the block interaction information in the compact shelving monitoring platform, obtain the historical circulation of the archive information of the provider of the to-be-anchored item W in combination with the information, and analyze the circulation changes of the corresponding archive information of the provider of the to-be-anchored item W. With point o as the origin, the number of file information circulations as the x-axis, and the duration of file information circulation as the y-axis, a first plane rectangular coordinate system is constructed. In the first plane rectangular coordinate system, the coordinate points of each execution of the file information circulation duration by the provider of the anchored item W are marked, and two adjacent coordinate points are connected in sequence to generate a polyline; Step 1003: Obtain the standard time interval for file information circulation in the compact shelving monitoring platform, recorded as [0, α], where α is a preset value of the database. In the first plane rectangular coordinate system, the curve corresponding to the archive information circulation time α is marked, and the curve is translated up and down parallel to the x-axis in the first plane rectangular coordinate system, and the boundary point between the curve and the broken line is marked, which is recorded as Y min and Y max Based on the analysis result of step 1002, the circulation rule interval of the archive information of the provider of the item to be anchored W is generated, which is recorded as Q W , Q W =[And min ,AND max ]。 3. The cloud platform-based compact shelving safety monitoring method according to claim 2 is characterized in that: The method in S2 comprises the following steps: Step 2001: Extract the sequence A generated in step 1001 W The first associated user in the database obtains the historical circulation record of the first associated user's profile information, and records the corresponding data of each execution of profile information circulation to generate a collection in represents the archive information recorded in the mth execution of archive information circulation by the first associated user, where m represents the total number of archive information circulations executed by the corresponding associated user; Step 2002: Based on the analysis result of step 2001, analyze the comprehensive abnormal value of the first associated user when circulating the archive information, which is recorded as X1. Wherein γ1 and γ2 both represent proportional coefficients, and the proportional coefficients are preset values ​​in the database. Indicates the number of timeouts in the historical circulation record of the first associated user profile information. Indicates the duration of the i-th execution of archive information circulation by the first associated user; Step 2003: loop through steps 2001 and 2002 to obtain sequence A W The corresponding comprehensive abnormal value of each associated user in the sequence is determined, and whether the corresponding associated user comprehensive abnormal value is in the preset interval is determined in turn. If the associated user comprehensive abnormal value is in the preset interval, it indicates that the corresponding associated user has no abnormal behavior. If the associated user comprehensive abnormal value is not in the preset interval, it indicates that the corresponding associated user has abnormal behavior, and the corresponding associated user is blacklisted, and the sequence is updated in real time to generate a calibration sequence A. W , denoted as A W(*) : in represents the jth user associated with the object to be anchored in the calibration sequence.

4. The cloud platform-based compact shelving safety monitoring method according to claim 3 is characterized in that: The method in S3 comprises the following steps: Step 3001: Obtain the analysis result in step 2003, obtain the first associated user in the calibration sequence, and analyze the preliminary evaluation value of the first associated user, recorded as Estimate l , Estimate1=σ r Start1+σ2·Number1, Wherein σ1 and σ2 both represent proportional coefficients, which are preset values ​​in the database. i Indicates the registration duration of the first associated user, Number1 indicates the number of circulation times of the first associated user profile information; Step 3002: loop through step 3001 to obtain the corresponding preliminary evaluation value of each element in the calibration sequence, and update the calibration sequence in ascending order according to the preliminary evaluation value to generate a set C. C=(C1,C2,C3,...,C k ),k=j, Wherein represents the preliminary evaluation value corresponding to the kth associated user in the updated calibration sequence; Step 3003: extract the first element in the set C as the first associated user of the provider of the current item W to be anchored for locking, and record the duration of the first associated user's archive information circulation process as Reputation1. in Indicates the duration of the first execution of file information circulation when the first associated user locks the position. Indicates the duration of the second execution of archive information circulation when the first associated user locks the position. ifO indicates the conditional judgment function. When when When and Step 3004: Based on the analysis result of step 3003, determine whether the duration of the archive information circulation of the first associated user during the archive information circulation process is within the archive information circulation rule interval of the provider of the to-be-anchored item W. If the duration of the archive information circulation of the first associated user during the archive information circulation process is not within the archive information circulation rule interval of the provider of the item to be anchored, an early warning signal is issued. If the duration of the archive information circulation of the first associated user during the archive information circulation process is within the archive information circulation rule interval of the provider of the item to be anchored, the archive information circulation is completed.

5. The cloud platform-based compact shelving safety monitoring method according to claim 4 is characterized in that: The method in S4 monitors the status of the early warning signal in real time, and calibrates the first associated user in real time based on the monitoring results. When the system receives the early warning signal, it interrupts the lock state with the first associated user, marks the corresponding associated user, and at the same time, the next element of the marked associated user in the set C is used as the new first associated user to perform lock-up. If the new first associated user completes the circulation of archive information, the new first associated user is determined to be the best interactive user of the provider of the item W to be anchored.

6. The cloud platform-based compact shelving safety monitoring system is characterized by: The system includes the following modules: Circulation rule formulation module: The circulation rule formulation module is used to obtain the block interaction information in the compact shelving monitoring platform, obtain the user information associated with the items to be anchored in combination with the interaction information, and analyze the feasible interval of the duration of the corresponding archive information circulation according to the historical circulation of the archive information of the provider of the items to be anchored; User-side data anomaly analysis module: The user-side data anomaly analysis module is used to extract the analysis results of the circulation rule formulation module, analyze the corresponding comprehensive anomaly values ​​of the corresponding user historical archive information circulation in combination with the analysis results, and generate a calibration sequence in combination with the analysis results; Related user evaluation and warning signal generation module: The related user evaluation and warning signal generation module is used to comprehensively analyze the analysis results of the circulation rule formulation module and the user-side data anomaly analysis module, perform preliminary evaluation value calculation for each related user in the calibration sequence, update the calibration sequence based on the calculation results, and determine whether the elements in the updated calibration sequence meet the standards, and generate a warning signal based on the determination results; Associated user calibration module: The associated user calibration module is used to monitor the status of the warning signal in real time in combination with the analysis results of the associated user evaluation and warning signal generation module, and calibrate the first associated user in combination with the monitoring results.

7. The cloud platform-based compact shelving safety monitoring system according to claim 6 is characterized in that: The circulation rule formulation module includes a data acquisition unit and a rule formulation unit; The data acquisition unit is used to acquire the block interaction information in the compact shelving monitoring platform, acquire the historical circulation of the archive information of the provider corresponding to the to-be-anchored item in combination with the interaction information, and pre-process the acquired data; The rule formulation unit is used to generate a file information circulation rule interval of the provider corresponding to the item to be anchored, in combination with the analysis result of the data acquisition unit.

8. The cloud platform-based compact shelving safety monitoring system according to claim 7 is characterized in that: The user-side data anomaly analysis module includes an associated user data analysis unit and a comprehensive anomaly value analysis unit; The associated user data analysis unit is used to extract the historical circulation records of the associated user profile information of the data acquisition unit and pre-process the extracted data; The comprehensive abnormal value analysis unit is used to analyze the corresponding comprehensive abnormal value in the process of circulation of the archive information of the corresponding associated user in combination with the analysis result of the associated user data analysis unit and the preprocessing result.

9. The cloud platform-based compact shelving safety monitoring system according to claim 8, characterized in that: The associated user evaluation and warning signal generation module includes a preliminary evaluation unit and a sequence calibration unit; The preliminary evaluation unit is used to calculate the initial evaluation values ​​of different associated users in sequence in combination with the analysis results of the comprehensive abnormal value analysis unit; The sequence calibration unit is used to adjust the sequence of associated user serial numbers in real time in combination with the analysis result of the preliminary evaluation unit.

10. The cloud platform-based compact shelving safety monitoring system according to claim 9, characterized in that: The associated user calibration module includes an early warning signal receiving unit and an early warning signal elimination unit; The warning signal receiving unit is used to monitor the warning signal status in real time, and receive the warning signal in real time based on the monitoring result; The early warning signal cancellation unit is used to match the best associated user according to the analysis result of the early warning signal receiving unit.

Images