A smart city security monitoring system based on digital twins

Abstract

The present invention discloses a smart city safety monitoring system based on digital twins, which relates to the field of digital twin technology, and includes a monitoring center, wherein the monitoring center is connected to a data acquisition module, an intelligent processing module, a twin analysis module and an intelligent management and control module; the city safety data and safety range data are collected through the data acquisition module; the safety range data is encoded and transformed in the intelligent processing module to obtain a feature coding group; a smart twin space is constructed in the twin analysis module to encode and convert the city safety data and mark dangers to obtain safety contact points and abnormal response points; an early warning response route is obtained according to the abnormal response points in the intelligent management and control module, and the early warning response route is abnormally marked and weighted to obtain a normal early warning route and an excessive early warning route; the safety management level of the smart city is improved, which is conducive to formulating targeted prevention and control suggestions and response measures to ensure the safety of people's lives and property.

Description

Technical Field

[0001] The present invention relates to the technical field of digital twins, and in particular to a smart city security monitoring system based on digital twins. Background Art

[0002] A digital twin is a digital representation used to create a virtual model of a physical asset, process or system. Smart city security monitoring refers to the use of various information technology means to monitor and manage urban infrastructure, public safety, environmental quality, traffic conditions and other aspects in real time to prevent and respond to various security risks and ensure the stable operation of the city and the safe life of residents.

[0003] The existing security monitoring systems can usually only monitor limited data, and the data collection and processing capabilities are limited, which cannot reflect the city's security status in real time and comprehensively; they can usually only cover some areas and cannot fully cover the entire city, resulting in security risks in some areas that cannot be discovered and handled in a timely manner; the existing security monitoring systems are usually independent of each other and lack a unified data platform for integration and sharing, resulting in low data utilization and the inability to give full play to the role of smart cities; therefore, it is of great theoretical and practical significance to plan the best rescue route for security hazards in smart cities in order to carry out intelligent security rescue.

[0004] How to use digital twin technology to encode and transform the collected safety range data to obtain a feature coding group; build a smart twin space to encode and convert the city safety data to obtain abnormal response points, obtain early warning response routes based on abnormal response points, mark the early warning response routes for abnormalities and monitor their weights, and obtain normal warning routes and excessive warning routes; these are the problems we need to solve; for this purpose, a smart city safety monitoring system based on digital twins is now provided. Summary of the invention

[0005] The purpose of the present invention can be achieved through the following technical solutions:

[0006] A smart city safety monitoring system based on digital twins, comprising a monitoring center, wherein the monitoring center is connected to a data acquisition module, a smart processing module, a twin analysis module, and an intelligent management and control module;

[0007] The process of the data collection module collecting urban safety data and safety range data includes:

[0008] Set up a connection terminal to collect information about the smart city through the connection terminal, obtain comprehensive city data, conduct security checks on the comprehensive city data, and obtain city security data and check time;

[0009] A security extraction instruction is issued to the smart city, and the monitoring center performs security extraction on the smart city according to the security extraction instruction to obtain security range data.

[0010] The process of obtaining a secure coding group includes:

[0011] Performing encoding conversion on the obtained security range data to obtain an extracted security encoding stream;

[0012] Decomposing the obtained extracted security code stream to obtain extracted security code segments;

[0013] The extracted security code segments are sequentially grouped to obtain security code groups.

[0014] The process of obtaining a feature coding group includes:

[0015] An intra-group interception frame is set according to the obtained security code group, and the security code group is intercepted intra-group by the intra-group interception frame to obtain a limited code group and an intercepted code group;

[0016] The security coding group is feature transformed according to the obtained intercepted coding group to obtain a feature coding group, a range coding set is constructed according to the obtained security range data, and the obtained feature coding group is uploaded to the range coding set.

[0017] The process of obtaining safety threshold data and abnormal threshold data includes:

[0018] Perform code conversion on the city security data to obtain a city security code stream, and perform code decomposition on the city security code stream to obtain a city security code segment;

[0019] Obtain the city security code segment corresponding to the city security data, perform matching monitoring on the city security code segment according to the obtained range code set, and obtain the range determination code;

[0020] The range determination code is threshold-classified to obtain safety threshold data and abnormal threshold data.

[0021] The process of obtaining safe and abnormal response points includes:

[0022] Construct the smart city in three dimensions to obtain the smart twin space, mark the connection end in the smart twin space, and obtain the virtual connection point;

[0023] The virtual contact points are marked as dangerous according to the safety threshold data and the abnormal threshold data to obtain the safety contact points and the abnormal contact points.

[0024] The process of obtaining the abnormal threshold amount includes:

[0025] Upload the abnormal contact point to the monitoring center, issue an early warning instruction to the abnormal contact point through the monitoring center, respond safely to the terminal contact point according to the early warning instruction, and obtain the early warning response route;

[0026] Mark the obtained warning response route in the smart twin space to obtain the warning virtual route;

[0027] According to the abnormal response points, the warning virtual route is marked abnormally to obtain the accompanying abnormal points;

[0028] According to the abnormal threshold data, the number of accompanying abnormal points is counted to obtain the abnormal threshold value.

[0029] The process of obtaining a replacement abnormal road segment includes:

[0030] Set the response time and obtain the monitoring time difference based on the obtained troubleshooting time and response time;

[0031] According to the obtained abnormal threshold value, monitoring time difference and early warning virtual route, weights are allocated to abnormal response points to obtain response weight values;

[0032] According to the obtained response weight value, the warning virtual route is weighted to obtain the warning route weight value;

[0033] According to the obtained warning route weight value, a peer comparison instruction is issued to the accompanying abnormal point of the warning virtual route, and according to the peer comparison instruction, an accompanying response is made to the warning virtual route to obtain a replacement abnormal road section.

[0034] The process of obtaining the normal warning route and the excess warning route includes:

[0035] According to the obtained replacement abnormal road section, virtual rescue is carried out on the abnormal contact point in the smart twin space to obtain a replacement warning route;

[0036] The obtained replacement warning route is weighted and a replacement warning weight value is obtained;

[0037] Obtaining a route weight difference according to the obtained warning route weight value and the replacement warning weight value;

[0038] A weight threshold is set, and the route weight difference is monitored according to the obtained weight threshold to obtain a normal warning route and an excess warning route.

[0039] Compared with the prior art, the beneficial effects of the present invention are: encoding conversion and feature transformation of safety range data to obtain feature coding groups; constructing a smart twin space to encode and convert urban safety data and mark dangers to obtain safety contact points and abnormal contact points; standardizing safety range data to greatly increase the matching success rate and accuracy of collected safety data, and timely discover potential safety risks;

[0040] Obtain the early warning response route based on the abnormal response point, mark the early warning response route for abnormalities and monitor its weight, and obtain the normal early warning route and the excess early warning route; arrange safety rescue for the abnormal alarm point, obtain the rescue route, and make follow-up rescue judgments for other abnormal alarm points passed by the rescue route, so as to obtain the best rescue route with the least resources, increase the all-round and refined management of smart city safety monitoring, save rescue resources and improve rescue efficiency. BRIEF DESCRIPTION OF THE DRAWINGS

[0041] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0042] Figure 1 It is a schematic diagram of the present invention. DETAILED DESCRIPTION

[0043] The technical solution of the present invention will be clearly and completely described below in conjunction with the embodiments. Obviously, the described embodiments are only part of the embodiments of the present invention, rather than 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.

[0044] like Figure 1 As shown, a smart city security monitoring system based on digital twins includes a monitoring center, which is connected to a data acquisition module, a smart processing module, a twin analysis module, and an intelligent management and control module;

[0045] The data collection module is used to collect urban safety data and safety range data, and the specific process includes:

[0046] Set the connection end;

[0047] Collect information about smart cities through the application terminal to obtain comprehensive urban data;

[0048] Conduct a safety check on the obtained comprehensive urban data to obtain urban safety data, and perform time correlation on the obtained urban safety data to obtain the check time;

[0049] It should be further explained that, in the specific implementation process, the information collection means collecting all data information generated by the smart city; the safety investigation means investigating the data information related to urban safety in the comprehensive urban data of the smart city, that is, urban safety data; the urban safety data includes infrastructure data, environmental monitoring data, traffic monitoring data and energy monitoring data, among which the infrastructure data includes water supply data, power supply data, worker data, bridge data, tunnel and other infrastructure data; the environmental monitoring data includes air quality, water quality, noise, temperature and humidity; the traffic monitoring data includes traffic flow data, public transportation operation status data, and signal light data; the energy monitoring data includes energy consumption data, energy production data, energy storage and transportation data;

[0050] A security extraction instruction is issued to the smart city, and the monitoring center performs security extraction on the smart city according to the received security extraction instruction to obtain security range data;

[0051] The safety range data includes a safety indicator name and an indicator range, and the safety indicator name is associated with the corresponding indicator range; wherein the safety indicator name represents the name of each safety data in the infrastructure data, environmental monitoring data, traffic monitoring data and energy monitoring data, and the indicator range represents the safety range data corresponding to the safety indicator name; for example, if the safety indicator name is water supply data in area a, the indicator range is a water pressure safety range of m1 to m3, a flow safety range of n1 to n4, and a water quality safety range of k1 to k4;

[0052] Furthermore, the safety extraction means extracting the safety threshold corresponding to the city safety data from the comprehensive urban data of the smart city to obtain the safety range data, that is, all city safety data within the safety range data are safe, and no safety hazard alarm is required. If it is greater than the safety range data, it is necessary to warn the safe city data; for example, the water pressure safety range of the water supply data in area a is safe in the range greater than or equal to m1 and less than or equal to m3. If the water pressure data is m5, the city safety data is not safety range data.

[0053] The intelligent processing module is used to perform code conversion and feature transformation on the security range data to obtain a feature coding group. The specific process includes:

[0054] Performing encoding conversion on the obtained security range data to obtain an extracted security encoding stream;

[0055] Furthermore, the encoding conversion means performing binary code element conversion on the extracted security data to obtain an extracted security encoding stream in the form of a data stream with random combinations of binary code elements;

[0056] Decomposing the obtained extracted security code stream to obtain extracted security code segments;

[0057] Further, the code decomposition means grouping the extracted security code stream into groups of 7 binary code elements to obtain the extracted security code segments, and if the last group is less than 7, complementing is performed forward until the last group satisfies 7 binary code elements;

[0058] Sequentially grouping the extracted security code segments according to the obtained extracted security code stream to obtain a security code group;

[0059] Further, the sequential grouping is based on the order of extracting the security code stream, with three extracted security code segments as a group to form a security code group, and the security code group is expressed in a matrix form, that is, a matrix of three rows and seven columns; in particular, if the last group is less than 3 extracted security code segments, it is supplemented forward until three extracted security code segments are satisfied as a group;

[0060] An intra-group interception frame is set according to the obtained security code group, and the security code group is intercepted intra-group by the intra-group interception frame to obtain a limited code group and an intercepted code group;

[0061] Further, the intra-group interception frame represents a rectangular frame that can accommodate three rows and four columns. The set intra-group interception frame is uploaded to the security code group, and starting from the first column of the security code group, the security code group is intercepted by the intra-group interception frame to obtain a limited code group of three rows and four columns, and the remaining three rows and three columns are recorded as the intercepted code group; in particular, the limited code group and the intercepted code group obtained after the intra-group interception by the intra-group interception frame are still in the security code group and are not separated;

[0062] The obtained secure coding group is marked as P i-j , where i represents the number of the extracted security code stream, j represents the number of the security code group in the extracted security code stream, ij represents the jth security code group of the i-th extracted security code stream, i=1, 2, 3, ..., v1, v1 is a positive integer, j=1, 2, 3, ..., v2, v2 is a positive integer;

[0063] The obtained restricted code group is marked as X, and the obtained intercepted code group is marked as R, then the safe code group can be expressed as

[0064] According to the obtained intercepted code group, the security code group is transformed to obtain a feature code group, and the obtained feature code group is marked as P1 i-j ;

[0065] Furthermore, the feature transformation means performing a standard transformation on the intercepted code group in the security code group, that is, performing a modulo-2 addition on the intercepted code group until the intercepted code group becomes a unit matrix, and at the same time, recording the restricted code group after the modulo-2 addition, and forming a feature code group together with the unit matrix;

[0066] A range coding set is constructed according to the obtained security range data, and the obtained feature coding group is uploaded to the range coding set.

[0067] The twin analysis module is used to construct a smart twin space to encode and convert urban safety data and mark dangers, and obtain safety response points and abnormal response points. The specific process includes:

[0068] Performing code conversion on the obtained city security data to obtain a city security code stream;

[0069] Decomposing the obtained city security code stream to obtain city security code segments;

[0070] The obtained city security code segment is marked as C s-g , where s represents the number of the city security code stream, g represents the number of the city security code segment in the city security code stream, sg represents the g-th city security code segment of the s-th city security code stream, s=1, 2, 3, ..., v3, v3 is a positive integer, g=1, 2, 3, ..., v4, v4 is a positive integer;

[0071] According to the obtained range code set, the urban safety data is discriminated and monitored to obtain safety threshold data and abnormal threshold data;

[0072] It should be further explained that, in the specific implementation process, the process of distinguishing and monitoring includes:

[0073] Obtain the city security code segment corresponding to the city security data, perform matching monitoring on the city security code segment according to the obtained range code set, and obtain the range determination code;

[0074] The obtained range determination code is marked as Q s-g ,in, represents the transpose of the feature encoding group;

[0075] Perform threshold classification on the obtained range determination code to obtain safety threshold data and abnormal threshold data;

[0076] Further, the threshold classification indicates that the state of the range determination code is classified. When the range determination code is

[000] , the city safety data corresponding to the city safety coding segment is marked as safety threshold data, that is, the collected city safety data is within the safety range; when the range determination code is

[001] ,

[010] ,

[011] ,

[100] ,

[101] ,

[110] or

[111] , the city safety data corresponding to the city safety coding segment is marked as abnormal threshold data, that is, the collected city safety data is not within the safety range, and it is necessary to respond to the city safety data corresponding to the city safety coding segment that is not within the safety range, and formulate corresponding safety rescue measures to eliminate the abnormal warning;

[0077] Construct smart cities in three dimensions to obtain smart twin spaces;

[0078] It should be further explained that, in the specific implementation process, the three-dimensional construction means creating a three-dimensional model of the smart city, converting the buildings, roads and infrastructure in the smart city into a three-dimensional city model in space, and obtaining a smart twin space; in particular, the obtained smart twin space is exactly the same as the structure of the smart city in reality, and each building, road and infrastructure is the same;

[0079] Mark the obtained connection end in the smart twin space to obtain a virtual connection point;

[0080] Furthermore, the position of the virtual connection point in the smart twin space corresponds to the same position of the real connection terminal in the smart city;

[0081] Danger marking is performed on the virtual contact points according to the obtained safety threshold data and abnormal threshold data to obtain safety contact points and abnormal contact points;

[0082] It should be further explained that, in the specific implementation process, if there is abnormal threshold data at the virtual contact point, it is recorded as an abnormal contact point, and regardless of the number of abnormal threshold data, that is, if the number of abnormal threshold data at the virtual contact point is greater than or equal to one, it is marked as an abnormal contact point. If all the data at the virtual contact point are safe threshold data, the virtual contact point is recorded as a safe contact point;

[0083] Differentiate and record the obtained safe and abnormal response points in the smart twin space;

[0084] Furthermore, the difference record indicates that abnormal contact points are marked as warning points in the smart twin space, that is, marked as flashing red lights for warning, and safe contact points are not specially marked.

[0085] The intelligent management and control module is used to obtain an early warning response route according to the abnormal response point, perform abnormal marking and weight monitoring on the early warning response route, and obtain a normal early warning route and an excessive early warning route. The specific process includes:

[0086] The abnormal contact points obtained are uploaded to the monitoring center, and the monitoring center issues an early warning instruction to the abnormal contact points. According to the obtained early warning instruction, a safety response is made to the terminal contact points to obtain an early warning response route;

[0087] Furthermore, the safety response represents a rescue route generated by performing safety rescue on the terminal contact point, wherein the terminal contact point represents selecting an abnormal contact point in the smart twin space as the terminal contact point and performing safety rescue on the terminal contact point;

[0088] Mark the obtained warning response route in the smart twin space to obtain the warning virtual route;

[0089] According to the obtained abnormal response points, the warning virtual route is marked abnormally, and the accompanying abnormal points are obtained, and the obtained accompanying abnormal points are marked as SX w , where w represents the number of the accompanying abnormal point in the warning virtual route, w=1, 2, 3, ..., v5, v5 is a positive integer;

[0090] Furthermore, the accompanying abnormal point means that the abnormal response point passed by the safety rescue in the early warning virtual route is recorded as the accompanying abnormal point;

[0091] According to the obtained abnormal threshold data, the number of accompanying abnormal points is counted to obtain the abnormal threshold value;

[0092] Set the response time, obtain the monitoring time difference according to the obtained troubleshooting time and response time, and mark the obtained monitoring time difference as ΔJC, where ΔJC=y1-y0, y1 represents the response time, and y0 represents the troubleshooting time;

[0093] Decomposing the warning virtual route into sections according to the obtained accompanying abnormal points to obtain virtual abnormal sections;

[0094] Furthermore, the road segment decomposition means that the warning virtual route is segmented according to the obtained accompanying abnormal points, and the accompanying abnormal points are used as nodes for segmentation to obtain a number of virtual abnormal road segments, and both end points of the virtual abnormal road segments are the accompanying abnormal points;

[0095] According to the obtained abnormal threshold value, monitoring time difference and early warning virtual route, weights are allocated to abnormal response points to obtain response weight values;

[0096] The obtained response weight value is marked as XZ e ,in, YZ max Indicates the maximum value of the abnormal threshold value, YZ w represents the abnormal threshold value, represents the mean of the abnormal threshold value, XN e represents a virtual abnormal section, e is the number of the virtual abnormal section in the warning virtual route, e=1, 2, 3, ..., v6, v6 is a positive integer;

[0097] According to the obtained response weight value, the warning virtual route is weighted to obtain the warning route weight value, and the obtained warning route weight value is marked as D 总 , where D 总 =∑XZ e ;

[0098] According to the obtained warning route weight value, a peer comparison instruction is issued to the accompanying abnormal point of the warning virtual route, and according to the obtained peer comparison instruction, an accompanying response is made to the warning virtual route to obtain a replacement abnormal road section;

[0099] According to the obtained replacement abnormal road section, virtual rescue is carried out on the abnormal contact point in the smart twin space to obtain a replacement warning route;

[0100] It should be further explained that, in the specific implementation process, the accompanying response means performing accompanying rescue on the accompanying abnormal point in the warning virtual route, that is, randomly selecting a passing abnormal response point for rescue until all the accompanying abnormal points are selected, and after completing the rescue of the accompanying abnormal point, continue to drive to the terminal response point to obtain a replacement warning route;

[0101] The obtained replacement warning route is weighted and a replacement warning weight value is obtained;

[0102] The obtained replacement warning weight value is marked as XZ 增 , where XZ 增 =[XZ1+XZ2+…+XZ e +XZ u +……]*β1+β2*ΔXH*XZ u , XZ u Indicates replacing the abnormal road section, "XZ u +…” in “+…” indicates that there is more than one accompanying abnormal point in the warning virtual route. If there are multiple, all the replacement abnormal sections of the accompanying response are added to the replacement warning weight value. ΔXH represents the loss weight, that is, the comprehensive weight of the lost time and rescue materials. β1 and β2 are proportion factors, and β1+β2=1;

[0103] The route weight difference is obtained according to the obtained warning route weight value and the replacement warning weight value, and the obtained route weight difference is marked as ΔF, where ΔF=XZ 增 -D 总 ;

[0104] Set a weight threshold, monitor the route weight difference according to the obtained weight threshold, and obtain a normal warning route and an excess warning route;

[0105] Further, the replacement warning route corresponding to the route weight difference that is greater than or equal to the weight threshold is marked as an excess warning route, indicating that the replacement warning route for virtual rescue after the accompanying response is an unqualified rescue route, that is, the replacement warning route after selecting the replacement abnormal section is unqualified, which is not conducive to timely rescue of the terminal contact point; the replacement warning route corresponding to the route weight difference that is less than the weight threshold is marked as a normal warning route, indicating that the replacement warning route for virtual rescue after the accompanying response is a qualified rescue route, that is, the replacement warning route after selecting the replacement abnormal section is qualified, will not cause safety hazards to the rescue of the terminal contact point, and is within the safety range;

[0106] The obtained normal warning route is marked as a safe and qualified warning line, and the terminal contact point is safely rescued according to the obtained safe and qualified warning line. The terminal contact point is monitored for rescue through the monitoring center until the terminal contact point completes the safe rescue and eliminates the safety hazards.

[0107] 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 content 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 those skilled in the art can understand and use the present invention well. The present invention is limited only by the claims and their full scope and equivalents.

Claims

1. A smart city security monitoring system based on digital twins, including a monitoring center, characterized in that: The monitoring center is connected to a data acquisition module, an intelligent processing module, a twin analysis module and an intelligent management and control module; The data acquisition module is used to collect urban safety data and safety range data; The intelligent processing module is used to perform code conversion on the security range data to obtain an extracted security code stream, perform code decomposition on the obtained extracted security code stream to obtain extracted security code segments, sequentially group the extracted security code segments according to the obtained extracted security code stream to obtain a security code group, set an intra-group interception frame according to the obtained security code group, perform intra-group interception on the security code group through the intra-group interception frame, and obtain a limited code group and an intercepted code group; Performing feature transformation on the security code group according to the obtained interception code group to obtain a feature code group, constructing a range code set according to the obtained security range data, and uploading the obtained feature code group to the range code set; The twin analysis module is used to perform code conversion and code decomposition on the city safety data, obtain the city safety code segment, perform discrimination monitoring on the city safety data according to the range code set, and obtain safety threshold data and abnormal threshold data; Construct a smart twin space, mark dangers in the smart twin space according to safety threshold data and abnormal threshold data, and obtain safety response points and abnormal response points; The intelligent management and control module is used to obtain an early warning response route according to the abnormal response point, and to perform abnormal marking and number counting on the early warning response route according to the abnormal threshold data in the intelligent twin space to obtain the abnormal threshold value; Mark the obtained warning response route in the smart twin space, obtain the warning virtual route, assign weights to the abnormal response points, obtain the response weight value, weight the warning virtual route according to the response weight value, obtain the warning route weight value, perform accompanying response on the warning virtual route, obtain the replacement of abnormal road sections, perform virtual rescue and weight monitoring on the abnormal response points according to the replacement of abnormal road sections, and obtain the normal warning route and the excess warning route; The obtained normal warning route is marked as a safe and qualified warning line, and the terminal contact point is safely rescued according to the obtained safe and qualified warning line. The terminal contact point is monitored for rescue through the monitoring center until the terminal contact point completes the safe rescue and eliminates the safety hazards.

2. According to claim 1, a smart city security monitoring system based on digital twins is characterized in that: The process of the data collection module collecting urban safety data and safety range data includes: Set up a connection terminal to collect information about the smart city through the connection terminal, obtain comprehensive city data, conduct security checks on the comprehensive city data, and obtain city security data and check time; A security extraction instruction is issued to the smart city, and the monitoring center performs security extraction on the smart city according to the security extraction instruction to obtain security range data.

3. According to claim 2, a smart city security monitoring system based on digital twins is characterized in that: The process of obtaining safety threshold data and abnormal threshold data includes: Perform code conversion on the city security data to obtain a city security code stream, and perform code decomposition on the city security code stream to obtain a city security code segment; Obtain the city security code segment corresponding to the city security data, perform matching monitoring on the city security code segment according to the obtained range code set, and obtain the range determination code; The range determination code is threshold-classified to obtain safety threshold data and abnormal threshold data.

4. According to claim 3, a smart city security monitoring system based on digital twins is characterized in that: The process of obtaining safe and abnormal response points includes: Construct the smart city in three dimensions to obtain the smart twin space, mark the connection end in the smart twin space, and obtain the virtual connection point; The virtual contact points are marked as dangerous according to the safety threshold data and the abnormal threshold data to obtain the safety contact points and the abnormal contact points.

5. According to claim 4, a smart city security monitoring system based on digital twins is characterized in that: The process of obtaining the abnormal threshold amount includes: Upload the abnormal contact point to the monitoring center, issue an early warning instruction to the abnormal contact point through the monitoring center, respond safely to the terminal contact point according to the early warning instruction, and obtain the early warning response route; Mark the obtained warning response route in the smart twin space to obtain the warning virtual route; According to the abnormal response points, the warning virtual route is marked abnormally to obtain the accompanying abnormal points; According to the abnormal threshold data, the number of accompanying abnormal points is counted to obtain the abnormal threshold value.

6. The smart city security monitoring system based on digital twin according to claim 5 is characterized in that: The process of obtaining a replacement abnormal road segment includes: Set the response time and obtain the monitoring time difference based on the obtained troubleshooting time and response time; According to the obtained abnormal threshold value, monitoring time difference and early warning virtual route, weights are allocated to abnormal response points to obtain response weight values; According to the obtained response weight value, the warning virtual route is weighted to obtain the warning route weight value; According to the obtained warning route weight value, a peer comparison instruction is issued to the accompanying abnormal point of the warning virtual route, and according to the peer comparison instruction, an accompanying response is made to the warning virtual route to obtain a replacement abnormal road section.

7. The smart city security monitoring system based on digital twin according to claim 6 is characterized in that: The process of obtaining the normal warning route and the excess warning route includes: According to the obtained replacement abnormal road section, virtual rescue is carried out on the abnormal contact point in the smart twin space to obtain a replacement warning route; The obtained replacement warning route is weighted and a replacement warning weight value is obtained; Obtaining a route weight difference according to the obtained warning route weight value and the replacement warning weight value; A weight threshold is set, and the route weight difference is monitored according to the obtained weight threshold to obtain a normal warning route and an excess warning route.

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