Intelligent roller shutter door anti-theft alarm system based on data multi-source analysis

Abstract

The invention belongs to the technical field of roller shutter door supervision, and particularly relates to an intelligent roller shutter door anti-theft alarm system based on data multi-source analysis, which comprises a roller shutter door vibration anti-prying monitoring module, an anti-theft area monitoring module, a suspicious person identification module, an anti-theft threat evaluation module and a remote supervision alarm end, according to the invention, vibration monitoring and prying monitoring are carried out on the roller shutter door body through the roller shutter door vibration prying-resistant monitoring module so as to judge whether a vibration prying-resistant abnormal signal is generated or not; if the vibration anti-prying abnormal signal is not generated in unit time, the anti-theft threat evaluation module analyzes the anti-theft threat of the anti-theft monitoring area where the roller shutter door is located based on the stranger identification information, and when the vibration anti-prying abnormal signal or the anti-theft high threat signal is generated, the remote supervision alarm end gives out corresponding early warning; a user can take corresponding treatment measures in time, and the anti-theft performance of the roller shutter door is remarkably improved.

Description

Technical Field

[0001] The present invention relates to the technical field of rolling shutter door supervision, and in particular to an intelligent rolling shutter door anti-theft alarm system based on multi-source data analysis. Background Art

[0002] Rolling shutter doors are doors that are connected in series with multiple joints. They rotate up and down in a fixed slideway with the scroll above the door as the center. According to the usage, they can be divided into manual rolling shutter doors and electric rolling shutter doors. They are widely used in commercial storefronts, garages, shopping malls, hospitals, factories, mines and other public places or residences;

[0003] A Chinese invention patent with publication number CN102493755A discloses a rolling door anti-theft method, which detects the state of the rolling door by installing a sensor and an adapter used in conjunction with the sensor on the rolling door, and combines the state of the rolling door with the running state of the motor to determine whether the rolling door is working normally, and can quickly determine whether an alarm is needed;

[0004] However, in actual use, the above-mentioned technical solution cannot monitor the vibration and prying of the rolling shutter door to accurately determine the real-time risk of the rolling shutter door, and it is difficult to reasonably evaluate the anti-theft threat and potential hidden danger of the rolling shutter door when judging that there is no risk of impact damage or prying. This is not conducive to improving the anti-theft performance of the rolling shutter door and increases the difficulty of anti-theft supervision of the rolling shutter door.

[0005] In view of the above technical defects, a solution is now proposed. Summary of the invention

[0006] The purpose of the present invention is to provide an intelligent rolling shutter door anti-theft alarm system based on multi-source data analysis, which solves the problem that the prior art cannot monitor the vibration and prying of the rolling shutter door, and it is difficult to reasonably evaluate the anti-theft threat and potential hidden danger of the rolling shutter door when it is judged that there is no risk of impact damage or prying, which is not conducive to improving the anti-theft performance of the rolling shutter door and makes anti-theft supervision difficult.

[0007] To achieve the above object, the present invention provides the following technical solutions:

[0008] The intelligent rolling door anti-theft alarm system based on multi-source data analysis includes a rolling door vibration anti-pry monitoring module, an anti-theft area monitoring module, a suspicious person identification module, an anti-theft threat assessment module, and a remote monitoring alarm terminal;

[0009] The rolling door vibration anti-pry monitoring module performs vibration monitoring through vibration sensors at several positions of the rolling door body, and performs prying monitoring through pressure sensors at several positions at the bottom of the rolling door. If there is a position where the vibration data exceeds the preset vibration data threshold or the pressure data exceeds the preset pressure data threshold, a vibration anti-pry abnormal signal is generated, and the vibration anti-pry abnormal signal is sent to the remote supervision alarm module;

[0010] If no vibration anti-pry abnormal signal is generated within a unit time, the anti-theft monitoring area of ​​the rolling shutter door is obtained through the anti-theft area monitoring module, the anti-theft monitoring area is monitored by the monitoring camera, and the real-time monitoring video is sent to the suspicious person identification module; the suspicious person identification module identifies strangers in the anti-theft monitoring area based on the real-time monitoring video, and sends the identification information to the anti-theft threat assessment module;

[0011] The anti-theft threat assessment module analyzes the anti-theft threat of the anti-theft monitoring area where the rolling shutter door is located, generates an anti-theft high threat signal or an anti-theft low threat signal through analysis, and sends the anti-theft high threat signal to the remote monitoring alarm terminal; the remote monitoring alarm terminal issues a corresponding warning when it receives an abnormal vibration anti-theft signal or an anti-theft high threat signal.

[0012] Furthermore, the specific analysis process of the anti-theft threat assessment module includes:

[0013] Obtain all strangers who appear in the anti-theft monitoring area within a unit time, collect all single stay durations of the corresponding strangers in the anti-theft monitoring area, sum up all single stay durations of the corresponding strangers within a unit time to obtain the total stay time value of the area, and mark the number of occurrences of a single stay duration exceeding a preset single stay duration threshold as an abnormal frequency value of the area stay;

[0014] The total duration of regional stay and the regional stay frequency value are numerically calculated to obtain the stay threat assessment value. The currently matched preset stay threat assessment threshold is obtained through analysis. The stay threat assessment value is numerically compared with the corresponding preset stay threat assessment threshold. If the stay threat assessment value exceeds the corresponding preset stay threat assessment threshold, the corresponding stranger is marked as a threat person; if there is a threat person in the anti-theft monitoring area during the detection period, a high anti-theft threat signal is generated; if there is no threat person in the anti-theft monitoring area during the detection period, a low anti-theft threat signal is generated.

[0015] Furthermore, the specific analysis process of obtaining the matching preset stay threat assessment threshold through analysis is as follows:

[0016] The current time period is obtained and marked as the target time period, the public security risk decision value of the control area where the rolling door is located in the target time period is retrieved, and several groups of preset public security risk decision value ranges are set in advance, and each group of preset public security risk decision value ranges corresponds to a group of preset stay threat assessment thresholds; the public security risk decision value of the target time period is compared with all preset public security risk decision value ranges one by one, and the preset public security risk decision value range containing the corresponding public security risk decision value is marked as the target range, and the preset stay threat assessment threshold corresponding to the target range is marked as the currently matched preset stay threat assessment threshold.

[0017] Furthermore, the anti-theft threat assessment module is connected to the public security risk decision module in communication, and the public security risk decision module divides each day into twelve time periods, and each time period lasts for two hours, and marks the corresponding time period as analysis time period i;

[0018] A circle with a radius of R1 is drawn with the location of the rolling door as the center, and the drawn circular area is marked as the control area; the public security risk decision value of the control area in the analysis period i is obtained through public security risk decision analysis, and the public security risk decision value of the control area in all time periods is sent to the anti-theft threat assessment module.

[0019] Furthermore, the specific analysis process of public security risk decision analysis is as follows:

[0020] The number of days is set as L1, and the number of theft incidents in the control area during the corresponding date analysis period i is marked as the period theft value, and the total time when there is no patrol of security personnel in the control area during the corresponding date analysis period i is collected and marked as the total time without patrol, and the number of occurrences when the single duration of no patrol of security personnel exceeds the corresponding preset single duration threshold is marked as the abnormal frequency value of no patrol;

[0021] The public security risk value of the corresponding date in the analysis period i is obtained by numerically calculating the theft value, the total time value without patrol and the value of the frequency difference without patrol. The public security risk value is numerically compared with the preset public security risk threshold. If the public security risk value exceeds the preset public security risk threshold, the corresponding public security risk value is marked as a public security alarm value.

[0022] The number of public security alarm values ​​in analysis period i during the retrospective period is obtained and marked as the public security warning value, the mean of all public security potential danger values ​​in analysis period i during the retrospective period is calculated to obtain the public security risk table value, and the maximum value of the public security potential danger value in analysis period i during the retrospective period is marked as the public security risk amplitude; the public security risk decision value of the control area in analysis period i is obtained by numerically calculating the public security warning value, the public security risk table value and the public security risk amplitude.

[0023] Furthermore, the anti-theft risk assessment module is communicatively connected to the rolling door safety analysis module, and the anti-theft risk assessment module sends the anti-theft low threat signal to the rolling door safety analysis module. When the rolling door safety analysis module receives the anti-theft low threat signal, it analyzes the safety of the rolling door, generates a rolling door abnormal signal or a rolling door qualified signal through analysis, and sends the rolling door abnormal signal to the remote monitoring alarm terminal. When the remote monitoring alarm terminal receives the rolling door abnormal signal, it issues a corresponding warning.

[0024] Furthermore, the rolling door safety analysis module is communicatively connected to the rolling door scanning detection module and the rolling door lock body analysis module. The rolling door scanning detection module performs a surface scan on the rolling door to collect its surface image, analyzes the door body safety based on the rolling door surface image, assigns the door body judgment symbol YP-1 or YP-2 accordingly, and sends the door body judgment symbol YP-1 or YP-2 to the rolling door safety analysis module.

[0025] The rolling door lock body analysis module performs a quality analysis on the rolling door lock body, assigns the lock body judgment symbol SP-1 or SP-2 through analysis, and sends the lock body judgment symbol SP-1 or SP-2 to the rolling door safety analysis module; when the rolling door safety analysis module receives YP-2∩SP-2, it generates a rolling door abnormality signal; in other cases, it generates a rolling door qualified signal.

[0026] Furthermore, the specific analysis process of the rolling door scanning detection module is as follows:

[0027] Based on the surface image of the rolling door, the surface crack damage is identified, the average crack width, the maximum crack width and the crack area of ​​the corresponding surface crack damage are collected, the average crack width, the maximum crack width and the crack area are numerically calculated to obtain a crack analysis value, and the crack analysis value is numerically compared with a preset crack analysis threshold. If the crack analysis value exceeds the preset crack analysis threshold, the corresponding surface crack damage is marked as an alarm object;

[0028] If there is an alarm object on the rolling door body, the door body judgment symbol YP-1 is assigned; if there is no alarm object on the rolling door body, the rolling door body is divided into several square grids, and if the corresponding square grid involves surface cracks or rust, the corresponding square grid is marked as an abnormal grid;

[0029] The number of abnormal grids on the rolling door body is obtained and marked as the abnormal occupancy detection value, and the clustering area of ​​the abnormal grids is captured based on the positions of all abnormal grids, and the clustering area of ​​the corresponding abnormal grids is marked as the heterogeneous clustering area; the area of ​​the corresponding heterogeneous clustering area is obtained and marked as the heterogeneous surface condition value, the heterogeneous surface condition value with the largest value is marked as the heterogeneous surface amplitude, and the number of heterogeneous clustering areas whose heterogeneous surface condition values ​​exceed the preset heterogeneous surface condition threshold is marked as the heterogeneous risk analysis value;

[0030] The rolling door scanning coefficient is obtained by numerically calculating the abnormal occupancy inspection value, the total face value of heterogeneous aggregation and the heterogeneous aggregation risk analysis value, and the rolling door scanning coefficient is numerically compared with the preset rolling door scanning coefficient threshold. If the rolling door scanning coefficient exceeds the preset rolling door scanning coefficient threshold, the door body judgment symbol YP-1 is assigned; if the rolling door scanning coefficient does not exceed the preset rolling door scanning coefficient threshold, the door body judgment symbol YP-2 is assigned.

[0031] Furthermore, the specific analysis process of the rolling door lock body analysis module is as follows:

[0032] The temperature data and humidity data of the environment where the rolling door lock is located are collected, and the deviation value of the temperature data compared to the preset suitable temperature standard value is marked as the door lock temperature value, and the door lock humidity value is obtained in the same way; and the concentration of corrosive substances in the environment where the rolling door lock is located is collected and marked as the door lock corrosion table value, and the shaking amplitude of the rolling door lock is marked as the door lock shaking detection value;

[0033] The door lock damage coefficient is obtained by numerically calculating the door lock temperature value, the door lock humidity value, the door lock corrosion table value and the door lock shaking detection value, and the door lock damage coefficient is numerically compared with the preset door lock damage coefficient threshold. If the door lock damage coefficient exceeds the preset door lock damage coefficient threshold, it is judged that the rolling door lock is in a vulnerable state;

[0034] The total duration of the rolling door lock in a vulnerable state in the historical stage is obtained and marked as the lock body vulnerable detection value, and the interval between the production date of the rolling door lock and the current date is marked as the lock body production time value, and the average maintenance interval duration of the rolling door lock in the historical stage is marked as the lock body maintenance analysis value, and the lock body safety impact coefficient is obtained by numerically calculating the lock body vulnerable detection value, the lock body production time value and the lock body maintenance analysis value;

[0035] The lock body safety impact coefficient is numerically compared with the preset lock body safety impact coefficient threshold. If the lock body safety impact coefficient exceeds the preset lock body safety impact coefficient threshold, the lock body judgment symbol SP-1 is assigned; if the lock body safety impact coefficient does not exceed the preset lock body safety impact coefficient threshold, the lock body judgment symbol SP-2 is assigned.

[0036] Compared with the prior art, the present invention has the following beneficial effects:

[0037] 1. In the present invention, the vibration and prying monitoring module of the rolling shutter door is used to monitor the vibration and prying of the rolling shutter door. If no abnormal vibration prying signal is generated within a unit time, the anti-theft threat assessment module analyzes the anti-theft threat of the anti-theft monitoring area where the rolling shutter door is located based on the stranger identification information. When the abnormal vibration prying signal or the high-threat anti-theft signal is generated, the remote monitoring alarm terminal issues a corresponding warning, which is conducive to the user to take corresponding treatment measures in time and significantly improves the anti-theft performance of the rolling shutter door;

[0038] 2. In the present invention, the anti-theft low threat signal is sent to the rolling door safety analysis module through the anti-theft risk assessment module. When the rolling door safety analysis module receives the anti-theft low threat signal, it conducts a comprehensive analysis of the safety of the rolling door, and when the rolling door abnormal signal is generated, it reminds the user to take corresponding improvement measures for the rolling door in time, thereby ensuring the safety of the use of the rolling door and reducing the difficulty of the user's supervision of the rolling door, thereby further improving the anti-theft performance of the rolling door. BRIEF DESCRIPTION OF THE DRAWINGS

[0039] In order to facilitate understanding by those skilled in the art, the present invention is further described below in conjunction with the accompanying drawings;

[0040] Figure 1 This is a system block diagram of Embodiment 1 of the present invention;

[0041] Figure 2 This is a system block diagram of Embodiment 2 and Embodiment 3 of the present invention. DETAILED DESCRIPTION

[0042] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0043] Embodiment 1: Figure 1 As shown, the intelligent rolling shutter door anti-theft alarm system based on multi-source data analysis proposed by the present invention includes a rolling shutter door vibration anti-pry monitoring module, an anti-theft area monitoring module, a suspicious person identification module, an anti-theft threat assessment module and a remote monitoring alarm terminal;

[0044] When the rolling door is in the closed state, the rolling door vibration anti-pry monitoring module performs vibration monitoring through vibration sensors at several positions of the rolling door body, so as to collect vibration data at various positions on the door body in real time, which is conducive to identifying the behavior of impact and damage to the door body; and performs prying monitoring through pressure sensors at several positions at the bottom of the rolling door, so as to collect the force applied to various positions at the bottom of the rolling door in real time, which is conducive to identifying the behavior of the bottom of the door body being pried open;

[0045] If there is a position where the vibration data exceeds the preset vibration data threshold or the pressure data exceeds the preset pressure data threshold, it indicates that the rolling door is likely to be damaged by impact or pried open, and a vibration anti-pry abnormality signal is generated, and the vibration anti-pry abnormality signal is sent to the remote supervision alarm module. When the remote supervision alarm terminal receives the vibration anti-pry abnormality signal, it will issue a corresponding early warning, which can promptly remind the user to take corresponding handling measures, thereby significantly improving the anti-theft performance of the rolling door.

[0046] If no vibration anti-theft abnormal signal is generated within a unit time, the anti-theft monitoring area of ​​the rolling shutter door (i.e., the front and side areas of the rolling shutter door) is obtained through the anti-theft area monitoring module, the anti-theft monitoring area is monitored by the monitoring camera, and the real-time monitoring video is sent to the suspicious person identification module; the suspicious person identification module identifies strangers in the anti-theft monitoring area based on the real-time monitoring video, and sends the identification information to the anti-theft threat assessment module.

[0047] The anti-theft threat assessment module analyzes the anti-theft threat of the anti-theft monitoring area where the rolling shutter door is located, generates a high anti-theft threat signal or a low anti-theft threat signal through analysis, and sends the high anti-theft threat signal to the remote monitoring alarm terminal. When the remote monitoring alarm terminal receives the high anti-theft threat signal, it will issue a corresponding warning. It can accurately assess the anti-theft threat based on the personnel status of the area where the rolling shutter door is located. When the user receives the warning, he will be more vigilant, and the anti-theft performance of the rolling shutter door will be further improved. The specific analysis process of the anti-theft threat assessment module is as follows:

[0048] Obtain all strangers who appear in the anti-theft monitoring area within a unit time, collect all single stay durations of the corresponding strangers in the anti-theft monitoring area, sum up all single stay durations of the corresponding strangers within a unit time to obtain the total stay time value of the area, and mark the number of occurrences of a single stay duration exceeding a preset single stay duration threshold as an abnormal frequency value of the area stay;

[0049] The total duration of regional stay GY and the regional stay frequency value GP are numerically calculated by the formula GL=sq1*GY+sq2*GP to obtain the stay threat assessment value GL; wherein sq1 and sq2 are preset weight coefficients with values ​​greater than zero, and sq2>sq1; and the larger the value of the stay threat assessment value GL is, the greater the threat posed by the corresponding stranger is;

[0050] The currently matched preset stay threat assessment threshold is obtained through analysis, specifically: the current time period is obtained and marked as the target time period, the public security risk decision value of the control area where the rolling door is located in the target time period is retrieved, and several groups of preset public security risk decision value ranges are set in advance, and each group of preset public security risk decision value ranges corresponds to a group of preset stay threat assessment thresholds; it should be noted that the larger the value of the preset public security risk decision value range, the smaller the value of the preset stay threat assessment threshold that matches it;

[0051] The public security risk decision value of the target period is compared with all preset public security risk decision value ranges one by one, and the preset public security risk decision value range containing the corresponding public security risk decision value is marked as the target range, and the preset stay threat assessment threshold corresponding to the target range is marked as the currently matched preset stay threat assessment threshold;

[0052] The stay threat assessment value is numerically compared with the corresponding preset stay threat assessment threshold. If the stay threat assessment value exceeds the corresponding preset stay threat assessment threshold, it indicates that the threat posed by the corresponding stranger is relatively large, and the corresponding stranger is marked as a threatening person; if there is a threatening person in the anti-theft monitoring area during the detection period, it indicates that the anti-theft threat to the rolling door is relatively large, and a high anti-theft threat signal is generated; if there is no threatening person in the anti-theft monitoring area during the detection period, it indicates that the anti-theft threat to the rolling door is relatively small, and a low anti-theft threat signal is generated.

[0053] Furthermore, the anti-theft threat assessment module is connected to the public security risk decision module in communication. The public security risk decision module divides each day into twelve time periods, and each time period lasts for two hours, and marks the corresponding time period as analysis time period i; a circle with a radius of R1 is drawn with the location of the rolling door as the center, and the drawn circular area is marked as the control area;

[0054] The public security risk decision value of the control area in the analysis period i is obtained through public security risk decision analysis, and the public security risk decision value of the control area in all periods is sent to the anti-theft threat assessment module, which can not only reasonably judge the public security risk of each period, but also provide data support for the analysis process of the anti-theft threat assessment module to ensure the accuracy of its analysis results; the specific analysis process of public security risk decision analysis is as follows:

[0055] The tracing period is set to L1 with the current date as the end date. Preferably, the tracing period is thirty days. The number of theft incidents occurring in the control area during the corresponding date analysis period i is marked as the period theft value, and the total duration of the absence of patrols by security personnel in the control area during the corresponding date analysis period i is collected and marked as the total no-patrol duration value, and the number of occurrences of the single duration of the absence of patrols by security personnel exceeding the corresponding preset single duration threshold is marked as the no-patrol frequency value.

[0056] By formula The theft value WLi, the total time without patrol WSi and the frequency difference value without patrol WDi in the time period are numerically calculated to obtain the potential security risk value WYi of the corresponding date in the analysis period i; among which, hu1, hu2 and hu3 are preset proportional coefficients, hu1>hu3>hu2>0; and the larger the value of the potential security risk value WYi, the worse the public security management situation of the control area in the analysis period i of the corresponding date is in general;

[0057] The public security risk value is numerically compared with the preset public security risk threshold. If the public security risk value exceeds the preset public security risk threshold, it indicates that the public security management situation of the control area during the analysis period i on the corresponding date is poor, and the corresponding public security risk value is marked as a public security alarm value;

[0058] The number of public security alarm values ​​in the analysis period i during the retrospective period is obtained and marked as the public security warning value, the mean of all public security potential risk values ​​in the analysis period i during the retrospective period is calculated to obtain the public security risk table value, and the maximum value of the public security potential risk value in the analysis period i during the retrospective period is marked as the public security risk amplitude value;

[0059] The public security alert value NPi, the public security risk table value GXi and the public security risk amplitude value YLi are numerically calculated through the formula FXi=re1*NPi+(re2*GXi+re3*YLi) / 2 to obtain the public security risk decision value FXi of the control area in the analysis period i; wherein, re1, re2, and re3 are preset proportional coefficients, re1>re2>re3>0; and, the larger the value of the public security risk decision value FXi, the greater the overall public security risk of the control area in the analysis period i during the detection period.

[0060] Embodiment 2: Figure 2 As shown, the difference between this embodiment and the first embodiment is that the anti-theft risk assessment module is communicatively connected to the rolling door safety analysis module, the anti-theft risk assessment module sends the anti-theft low threat signal to the rolling door safety analysis module, and the rolling door safety analysis module analyzes the safety of the rolling door when receiving the anti-theft low threat signal, and generates a rolling door abnormal signal or a rolling door qualified signal through analysis;

[0061] The specific analysis process is as follows: the rolling door safety analysis module receives the corresponding door body judgment symbol and lock body judgment symbol. If YP-2∩SP-2 is received, a rolling door abnormal signal is generated; in other cases (YP-1∩SP-1, YP-1∩SP-2 or YP-2∩SP-1), a rolling door qualified signal is generated;

[0062] The abnormal signal of the rolling shutter door is sent to the remote monitoring alarm terminal. When the remote monitoring alarm terminal receives the abnormal signal of the rolling shutter door, it issues a corresponding warning to remind the user to take corresponding improvement measures for the rolling shutter door in time, thereby ensuring the safety of the rolling shutter door, reducing the difficulty of user supervision of the rolling shutter door, and further improving the anti-theft performance of the rolling shutter door, with a high degree of intelligence.

[0063] Embodiment 3: Figure 2 As shown, the difference between this embodiment and the first and second embodiments is that the rolling door safety analysis module is communicatively connected to the rolling door scanning detection module and the rolling door lock body analysis module, the rolling door scanning detection module performs a surface scan on the rolling door to collect its surface image, analyzes the door body safety based on the rolling door surface image, and assigns the door body judgment symbol YP-1 or YP-2 accordingly;

[0064] And sending the door body judgment symbol YP-1 or YP-2 to the rolling door safety analysis module can not only accurately feedback the hidden danger status of the rolling door body, but also provide information support for the analysis process of the rolling door safety analysis module to ensure the accuracy of its analysis results; the specific analysis process of the rolling door scanning detection module is as follows:

[0065] Based on the surface image of the rolling door, its surface cracks are identified, and the average crack width, maximum crack width and crack area of ​​the corresponding surface cracks are collected. The average crack width XF, the maximum crack width XR and the crack area XM are numerically calculated to obtain the crack analysis value MY; wherein c1, c2 and c3 are preset proportional coefficients with values ​​greater than zero, and the larger the value of the crack analysis value MY, the greater the potential risk of the corresponding surface crack to the door body;

[0066] Compare the crack analysis value MY with the preset crack analysis threshold. If the crack analysis value MY exceeds the preset crack analysis threshold, it indicates that the corresponding surface crack damage poses a greater potential risk to the door body, and the corresponding surface crack damage is marked as an alarm object.

[0067] If there is an alarm object on the rolling door body, indicating that there is a major safety hazard in the door body, the door body judgment symbol YP-1 is assigned; if there is no alarm object on the rolling door body, the rolling door body is divided into a number of square grids, and if the corresponding square grid involves surface cracks or rust, the corresponding square grid is marked as an abnormal grid, and the number of abnormal grids on the rolling door body is obtained and marked as an abnormal occupancy inspection value;

[0068] Based on the positions of all abnormal grids, the clustering areas of the abnormal grids are captured, and the clustering areas of the corresponding abnormal grids are marked as heterogeneous clustering areas; the areas of the corresponding heterogeneous clustering areas are obtained and marked as heterogeneous surface condition values, the heterogeneous surface condition value with the largest value is marked as the heterogeneous surface amplitude, and the heterogeneous surface condition value is numerically compared with the preset heterogeneous surface condition threshold, and the number of heterogeneous clustering areas whose heterogeneous surface condition values ​​exceed the preset heterogeneous surface condition threshold is marked as the heterogeneous risk analysis value;

[0069] The rolling door scanning coefficient RY is obtained by numerically calculating the abnormal occupancy detection value RL, the heterogeneous surface amplitude RF and the heterogeneous risk analysis value RZ through the formula RY=rq2*RF+(rq1*RL+rq3*RZ) / 2; wherein rq1, rq2 and rq3 are preset proportional coefficients, rq2>rq3>rq1>0; and the larger the value of the rolling door scanning coefficient RY, the greater the safety hazard of the rolling door body is in general;

[0070] The rolling door scanning coefficient RY is numerically compared with the preset rolling door scanning coefficient threshold. If the rolling door scanning coefficient RY exceeds the preset rolling door scanning coefficient threshold, it indicates that there is a major safety hazard in the door body, and the door body judgment symbol YP-1 is assigned; if the rolling door scanning coefficient RY does not exceed the preset rolling door scanning coefficient threshold, it indicates that there is no safety hazard in the door body, and the door body judgment symbol YP-2 is assigned.

[0071] Furthermore, the rolling door lock body analysis module performs a quality analysis on the rolling door lock body, assigns a lock body judgment symbol SP-1 or SP-2 through analysis, and sends the lock body judgment symbol SP-1 or SP-2 to the rolling door safety analysis module, which can not only accurately feedback the hidden danger status of the rolling door lock body, but also provide information support for the analysis process of the rolling door safety analysis module, further ensuring the accuracy of its analysis results; the specific analysis process of the rolling door lock body analysis module is as follows:

[0072] The temperature data and humidity data of the environment in which the rolling door lock is located are collected, and the deviation value of the temperature data compared to the preset suitable temperature standard value is marked as the door lock temperature value, and the door lock humidity value is obtained in the same way; and the concentration of corrosive substances in the environment in which the rolling door lock is located (that is, the data value of the concentration of corrosive substances that need to be monitored in the environment) is collected and marked as the door lock corrosion table value, and the shaking amplitude of the rolling door lock is marked as the door lock shaking detection value;

[0073] The door lock damage coefficient QR is obtained by numerically calculating the door lock temperature value HY, the door lock humidity value HW, the door lock corrosion table value HS and the door lock shaking detection value HL through the formula QR=(k1*HY+k2*HW+k3*HS+k4*HL) / 4; wherein k1, k2, k3, k4 are preset proportional coefficients with values ​​greater than zero, and the larger the value of the door lock damage coefficient QR, the greater the adverse effect of the current environment on the life of the lock body;

[0074] Compare the door lock damage coefficient QR with the preset door lock damage coefficient threshold. If the door lock damage coefficient QR exceeds the preset door lock damage coefficient threshold, it indicates that the current environment has a greater adverse impact on the life of the lock body, and the rolling door lock is judged to be in a vulnerable state.

[0075] The total duration of the rolling door lock in the vulnerable state in the historical stage is obtained and marked as the lock body vulnerable detection value, and the interval between the production date of the rolling door lock and the current date is marked as the lock body production time value, and the average maintenance interval duration of the rolling door lock in the historical stage is marked as the lock body maintenance analysis value;

[0076] By formula The lock body safety impact coefficient TM is obtained by numerically calculating the lock body fragility detection value TF, the lock body production time value TS and the lock body maintenance analysis value TN; wherein, ry1, ry2 and ry3 are greater than zero, ry3>ry1>ry2>0; and the larger the value of the lock body safety impact coefficient TM, the worse the current quality of the rolling door lock body is, and the greater the safety hazard is;

[0077] The lock body safety influence coefficient TM is numerically compared with the preset lock body safety influence coefficient threshold. If the lock body safety influence coefficient TM exceeds the preset lock body safety influence coefficient threshold, it indicates that the current quality condition of the rolling door lock body is poor and the existing safety hazards are large, then the lock body judgment symbol SP-1 is assigned; if the lock body safety influence coefficient TM does not exceed the preset lock body safety influence coefficient threshold, it indicates that the current quality condition of the rolling door lock body is good and the existing safety hazards are small, then the lock body judgment symbol SP-2 is assigned.

[0078] The working principle of the present invention is as follows: when in use, the vibration and prying monitoring module of the rolling shutter door is used to monitor the vibration and prying of the rolling shutter door body to determine whether a vibration prying abnormal signal is generated. If no vibration prying abnormal signal is generated within a unit time, the monitoring video of the anti-theft monitoring area is sent to the suspicious person identification module through the anti-theft area monitoring module. The suspicious person identification module identifies strangers in the anti-theft monitoring area based on the real-time monitoring video. The anti-theft threat assessment module analyzes the anti-theft threat of the anti-theft monitoring area where the rolling shutter door is located based on the stranger identification information. When a vibration prying abnormal signal or an anti-theft high threat signal is generated, the remote monitoring alarm terminal sends a corresponding early warning, which is conducive to the user to make corresponding processing measures in time and significantly improves the anti-theft performance of the rolling shutter door.

[0079] The above formulas are all dimensionless and numerical calculations. The formula is a formula obtained by collecting a large amount of data and performing software simulation to obtain the most recent real situation. The preset parameters in the formula are set by technicians in this field according to actual conditions. The preferred embodiments of the present invention disclosed above are only used to help explain the present invention. The preferred embodiments do not describe all the details in detail, nor do they limit the invention to only specific implementation methods. Obviously, many modifications and changes can be made according to the contents of this specification. This specification selects and specifically describes these embodiments in order to better explain the principles and practical applications of the present invention, so that technicians in the relevant technical field can understand and use the present invention well. The present invention is only limited by the claims and their full scope and equivalents.

Claims

1. The intelligent rolling door anti-theft alarm system based on multi-source data analysis is characterized by: It includes a rolling door vibration anti-pry monitoring module, an anti-theft area monitoring module, a suspicious person identification module, an anti-theft threat assessment module and a remote monitoring alarm terminal; the rolling door vibration anti-pry monitoring module performs vibration monitoring through vibration sensors at several positions of the rolling door body, and performs prying monitoring through pressure sensors at several positions at the bottom of the rolling door. If there is a position where the vibration data exceeds the preset vibration data threshold or the pressure data exceeds the preset pressure data threshold, a vibration anti-pry abnormal signal is generated, and the vibration anti-pry abnormal signal is sent to the remote monitoring alarm module; If no vibration anti-theft abnormal signal is generated within a unit time, the anti-theft monitoring area of ​​the rolling door is obtained through the anti-theft area monitoring module, and the anti-theft monitoring area is monitored by the monitoring camera. The suspicious person identification module identifies strangers in the anti-theft monitoring area based on the real-time monitoring video, and sends the identification information to the anti-theft threat assessment module; the anti-theft threat assessment module analyzes the anti-theft threat of the anti-theft monitoring area where the rolling door is located, generates an anti-theft high threat signal or an anti-theft low threat signal through analysis, and sends the anti-theft high threat signal to the remote monitoring alarm terminal; the remote monitoring alarm terminal issues a corresponding warning when receiving the vibration anti-theft abnormal signal or the anti-theft high threat signal.

2. According to claim 1, the intelligent rolling door anti-theft alarm system based on multi-source data analysis, It is characterized in that The specific analysis process of the anti-theft threat assessment module includes: All strangers appearing in the anti-theft monitoring area within a unit time are obtained, and the currently matched preset stay threat assessment threshold is obtained through analysis. If the stay threat assessment value exceeds the corresponding preset stay threat assessment threshold, the corresponding stranger is marked as a threat person; if there is a threat person in the anti-theft monitoring area within the detection period, a high-threat signal for anti-theft is generated; if there is no threat person in the anti-theft monitoring area within the detection period, a low-threat signal for anti-theft is generated.

3. According to claim 2, the intelligent rolling door anti-theft alarm system based on multi-source data analysis, It is characterized in that The specific analysis process of obtaining the matching preset stay threat assessment threshold through analysis is as follows: The current time period is obtained and marked as the target time period, the public security risk decision value of the control area where the rolling door is located during the target time period is retrieved, the public security risk decision value of the target time period is compared with all preset public security risk decision value ranges one by one, and the preset public security risk decision value range containing the corresponding public security risk decision value is marked as the target range, and the preset stay threat assessment threshold corresponding to the target range is marked as the currently matching preset stay threat assessment threshold.

4. According to claim 3, the intelligent rolling door anti-theft alarm system based on multi-source data analysis, It is characterized in that The anti-theft threat assessment module is connected to the public security risk decision module, which divides each day into twelve time periods, and each time period lasts for two hours. Mark the corresponding period as analysis period i; A circle with a radius of R1 is drawn with the location of the rolling door as the center, and the drawn circular area is marked as the control area; The public security risk decision value of the control area in the analysis period i is obtained through public security risk decision analysis, and the public security risk decision value of the control area in all periods is sent to the anti-theft threat assessment module.

5. According to claim 4, the intelligent rolling door anti-theft alarm system based on multi-source data analysis, It is characterized in that The specific analysis process of public security risk decision analysis is as follows: The retrospective period is set with the current date as the end date and the number of days is L1. The public security risk decision value of the control area in the analysis period i is obtained by numerically calculating the public security alert value, public security risk table value and public security risk amplitude.

6. According to claim 1, the intelligent rolling door anti-theft alarm system based on multi-source data analysis, It is characterized in that The anti-theft risk assessment module is communicatively connected to the rolling door safety analysis module. The anti-theft risk assessment module sends the anti-theft low threat signal to the rolling door safety analysis module. When the rolling door safety analysis module receives the anti-theft low threat signal, it conducts a comprehensive analysis on the safety of the rolling door, and generates a rolling door abnormal signal or a rolling door qualified signal through the analysis.

7. According to claim 6, the intelligent rolling door anti-theft alarm system based on multi-source data analysis, It is characterized in that The rolling door safety analysis module is connected to the rolling door scanning detection module and the rolling door lock body analysis module in communication. The rolling door scanning detection module analyzes the door body safety based on the rolling door surface image, and accordingly assigns the door body judgment symbol YP-1 or YP-2 and sends it to the rolling door safety analysis module; The rolling door lock body analysis module performs a quality analysis on the rolling door lock body to assign the lock body judgment symbol SP-1 or SP-2 and sends it to the rolling door safety analysis module; when the rolling door safety analysis module receives YP-2∩SP-2, it generates a rolling door abnormal signal; in other cases, it generates a rolling door qualified signal.

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