Information integration method for comprehensive security integrated management system

Abstract

The present invention discloses an information integration method for a comprehensive security integrated management system, relating to the field of security information processing technology. The method comprises performing segmented sampling and noise reduction on a collected security information stream based on a preset time window to generate standardized information; constructing a spatiotemporal feature matrix and mapping the standardized information to the spatiotemporal feature matrix according to regional identifiers and timestamps to form structured security data; performing regional correlation analysis on the structured security data, calculating cross-regional security indicators based on security level thresholds to generate integrated data; and distributing the integrated data to each subsystem according to a preset data exchange protocol, recording the subsystem's reception status, and completing information integration. The present invention effectively addresses technical issues such as poor data quality, weak system coordination, and inaccurate situation assessment in traditional security systems, achieving standardized processing and intelligent integration of security information, and providing reliable technical support for comprehensive security management.

Description

Technical Field

[0001] The present invention relates to the technical field of security information processing, and in particular to an information integration method for a comprehensive security integrated management system. Background Art

[0002] Traditional security systems primarily rely on independent subsystems such as video surveillance, access control, and alarm systems for security protection. However, with the development of IoT technology and artificial intelligence, security systems are gradually evolving towards digitalization, networking, and intelligence. Modern integrated security management systems integrate multi-source, heterogeneous security data, achieving cross-system and cross-regional collaboration and greatly improving the efficiency of security management and the accuracy of safety control. However, due to the diversity of security information sources, the heterogeneity of data formats, and noise interference during the collection process, the effective standardization and system integration of security information remain urgent technical challenges.

[0003] Currently, existing security information integration methods suffer from the following major shortcomings: First, traditional information integration methods often rely on simple data aggregation, lacking in-depth analysis of temporal characteristics and spatial correlations, resulting in an inability to accurately grasp the evolution of security trends across regions. Second, during data processing, they fail to fully consider the timeliness and reliability of information, making it susceptible to noise interference and affecting data quality. Third, existing integration methods typically use fixed data exchange models, making it difficult to adapt to the individual needs of different subsystems and affecting interoperability between systems. Furthermore, the lack of a quantitative assessment mechanism for regional security trends prevents effective data support for security decision-making. These issues have severely hampered the effectiveness of comprehensive security integrated management systems.

[0004] In response to the above-mentioned problems existing in the prior art, the present invention provides an information integration method for a comprehensive security integrated management system, which effectively solves technical problems existing in the prior art such as poor data quality, weak system coordination, and inaccurate situation assessment. Summary of the Invention

[0005] In view of the fact that the existing security information integration system has deficiencies in data quality control, regional correlation analysis and security situation assessment, and it is difficult to achieve intelligent processing of multi-source heterogeneous data and efficient collaboration between systems, the present invention is proposed.

[0006] Therefore, the problem to be solved by the present invention is how to achieve standardized processing of security information, regional correlation analysis and cross-system intelligent integration to improve data quality, enhance system collaboration capabilities and achieve accurate security situation assessment.

[0007] In order to solve the above technical problems, the present invention provides the following technical solutions:

[0008] In a first aspect, an embodiment of the present invention provides an information integration method for a comprehensive security integrated management system, which includes segmented sampling and noise reduction of the collected security information stream based on a preset time window to generate standardized information; constructing a spatiotemporal feature matrix, mapping the standardized information to the spatiotemporal feature matrix according to regional identifiers and timestamps to form structured security data; performing regional correlation analysis on the structured security data, calculating cross-regional security indicators based on security level thresholds, and generating integrated data; distributing the integrated data to each subsystem according to a preset data exchange protocol, and recording the receiving status of the subsystem to complete information integration.

[0009] As a preferred embodiment of the information integration method of the comprehensive security integrated management system of the present invention, the integrated data is generated by segmenting a spatiotemporal feature matrix using a sliding time window and calculating the degree of association between any two regions using the Pearson correlation coefficient; constructing a regional association network based on the degree of association, wherein nodes are monitoring regions and edge weights are correlation coefficients; clustering the regional association network using a spatial clustering algorithm to identify clusters of regions with close associations, calculating security situation indicators for the clusters, and analyzing risk propagation paths between regions; setting security level thresholds and classifying security risks into high-risk, medium-risk, and low-risk based on the security situation indicators; constructing a multi-dimensional cross-regional assessment system that integrates regional association strength indicators, security situation indicators, and propagation risk indicators, and using the analytic hierarchy process (AHP) to determine the weights of each indicator, establishing a comprehensive scoring model, and generating a regional security situation map; integrating the regional association network analysis results and the scoring results of the comprehensive scoring model to form structured integrated data; and distributing the integrated data to each subsystem according to a preset data exchange protocol, recording the receiving status of the subsystem, and completing information integration.

[0010] As a preferred solution of the information integration method of the comprehensive security integrated management system of the present invention, the specific formula of the security situation index is as follows:

[0011]

[0012] in, is the scalar value of the security situation indicator, is the security density value of the ath area, is the time attenuation coefficient, is the time interval of the ath region, is the total number of regions, Score the current security level. is the target value of security level, is the standard deviation of regional security indicators.

[0013] When the security situation index is less than the first threshold, the security risk is classified as a high-risk security risk; when the security situation index is greater than or equal to the first threshold and less than the second threshold, the security risk is classified as a medium-risk security risk; when the security situation index is greater than or equal to the second threshold, the security risk is classified as a low-risk security risk.

[0014] As a preferred solution of the information integration method of the comprehensive security integrated management system described in the present invention, wherein: constructing a spatiotemporal feature matrix, mapping the standardized information to the spatiotemporal feature matrix according to the region identifier and timestamp to form structured security data, including: defining the basic structure of the spatiotemporal feature matrix, the row dimension of the basic structure is the region identifier, and the column dimension is the time series; allocating the spatiotemporal feature matrix row index according to the region identifier, converting the region identifier in the standardized information into the row number of the spatiotemporal feature matrix through the region code parser, and using the quadtree partitioning method for the monitoring area to generate a hierarchical region code; allocating the spatiotemporal feature matrix according to the timestamp Column indexing, divides the time axis into equal intervals according to the system's preset sampling period, corresponds the timestamp in the standardized information to the sampling time point, and obtains the column number of the corresponding spatiotemporal feature matrix; establishes a data distribution buffer, temporarily stores the standardized information with the same area identifier and timestamp in the buffer, and arranges them in the order of security information; performs data mapping operations based on the standardized information arranged in the order, and fills the standardized information read from the buffer into the corresponding position of the spatiotemporal feature matrix; when several data sources generate information at the same spatiotemporal point, they are merged and processed using a data fusion method, and metadata tags are added to the spatiotemporal feature matrix to form structured security data.

[0015] As a preferred solution of the information integration method of the comprehensive security integrated management system of the present invention, the specific formula of the spatiotemporal feature matrix is ​​as follows:

[0016]

[0017]

[0018] in, is the spatiotemporal feature matrix, is a real number set, indicating that the value range of matrix elements is real numbers. is the total number of region identifiers, is the length of the time series, is the region identification index, is the time series index, is the original normalized information value of region d at time b, is the spatial weight coefficient of the ith region.

[0019] As a preferred solution of the information integration method of the comprehensive security integrated management system described in the present invention, the method further comprises: performing segmented sampling and noise reduction on the collected security information stream based on a preset time window to generate standardized information, including: configuring sampling parameters according to the security information, and dividing the continuous security information into data segments according to the preset time window, wherein the security information includes video stream data, card recognition data and environmental monitoring data; performing noise reduction on the data segments, and standardizing the noise-reduced data segments using the Z-score standardization method; performing quality inspection based on the standardized data segments, wherein the quality inspection includes establishing hierarchical data quality inspection indicators; the data quality inspection indicators include integrity inspection indicators, continuity inspection indicators and validity inspection indicators, wherein the integrity inspection indicator sets the upper limit of the missing value ratio to a preset threshold, the continuity inspection indicator sets the upper limit of the data interruption duration to a preset duration, and the validity inspection indicator sets the upper limit of the standard deviation multiple of the numerical value deviation from the mean to a preset multiple.

[0020] As a preferred solution of the information integration method of the comprehensive security integrated management system of the present invention, it further includes: performing segmented sequence scanning on the standardized data segments, and calculating the integrity test index value, the continuity test index value and the validity test index value. The specific formula is as follows:

[0021]

[0022] in, is the integrity inspection index value, is the continuity test index value, is the validity test index value, is the number of missing data points in the time window, is the total number of data points in the time window, is the timestamp of the i-th data point, n is the number of data points in the time window, is the value of the currently detected data point, is the mean of the data in the time window, is the standard deviation of the data within the time window.

[0023] In the second aspect, an embodiment of the present invention provides an information integration system for a comprehensive security integrated management system, which includes: a generation module, which performs segmented sampling and noise reduction on the collected security information stream based on a preset time window to generate standardized information; a construction module, which is used to construct a spatiotemporal feature matrix, and map the standardized information to the spatiotemporal feature matrix according to regional identifiers and timestamps to form structured security data; an analysis module, which is used to perform regional correlation analysis on the structured security data, calculate cross-regional security indicators based on security level thresholds, and generate integrated data; a distribution module, which is used to distribute the integrated data to each subsystem according to a preset data exchange protocol, and record the receiving status of the subsystem to complete information integration.

[0024] In a third aspect, an embodiment of the present invention provides a computer device comprising a memory and a processor, wherein the memory stores a computer program, wherein: when the computer program instructions are executed by the processor, the steps of the information integration method of the comprehensive security integrated management system as described in the first aspect of the present invention are implemented.

[0025] In a fourth aspect, an embodiment of the present invention provides a computer-readable storage medium having a computer program stored thereon, wherein: when the computer program instructions are executed by a processor, the steps of the information integration method of the comprehensive security integrated management system as described in the first aspect of the present invention are implemented.

[0026] The beneficial effects of the present invention are as follows: the present invention improves the quality of source data through segmented sampling and noise reduction processing based on time windows, realizes the structured expression of multi-source data by using spatiotemporal feature matrices, performs security situation assessment based on regional correlation analysis, and completes data distribution and status monitoring between systems through preset protocols, effectively solving technical problems such as poor data quality, weak system coordination, and inaccurate situation assessment in traditional security systems, realizing standardized processing and intelligent integration of security information, and providing reliable technical support for comprehensive security management. BRIEF DESCRIPTION OF THE DRAWINGS

[0027] To more clearly illustrate the technical solutions of the embodiments of the present invention, the following briefly introduces the drawings required for describing the embodiments. Obviously, the drawings described below are only some embodiments of the present invention. Those skilled in the art can also derive other drawings based on these drawings without inventive effort. Among them:

[0028] Figure 1 This is a flow chart of the information integration method of the comprehensive security integrated management system in Example 1. DETAILED DESCRIPTION

[0029] In order to make the above-mentioned objects, features and advantages of the present invention more obvious and easy to understand, the specific embodiments of the present invention are described in detail below with reference to the accompanying drawings.

[0030] In the following description, many specific details are set forth to facilitate a full understanding of the present invention. However, the present invention may also be implemented in other ways different from those described herein. Those skilled in the art may make similar generalizations without violating the connotation of the present invention. Therefore, the present invention is not limited to the specific embodiments disclosed below.

[0031] Secondly, the term "one embodiment" or "embodiment" herein refers to a specific feature, structure, or characteristic that may be included in at least one implementation of the present invention. The phrase "in one embodiment" appearing in various places throughout this specification does not necessarily refer to the same embodiment, nor does it refer to a separate or selective embodiment that is mutually exclusive of other embodiments.

[0032] Example 1

[0033] Reference Figure 1 , which is the first embodiment of the present invention, provides an information integration method for a comprehensive security integrated management system, including:

[0034] S1: Segment sampling and noise reduction are performed on the collected security information stream based on the preset time window to generate standardized information.

[0035] Specifically, the method for generating standardized information is to configure sampling parameters according to security information and divide the continuous security information stream into data segments according to preset time windows.

[0036] It should be noted that the parameters of the time window set by the comprehensive security integrated management system include a window length of 10-60 seconds, a sliding step of 25%-50% of the window length, and an overlap rate; the sampling frequency of the security information configuration is not less than twice the highest frequency of the signal; the security information includes the video stream data of the monitoring camera device, the card recognition data of the access control controller, and the environmental monitoring data of the security sensor.

[0037] Furthermore, the data segments are subjected to noise reduction processing, and the noise-reduced data are standardized using the Z-score standardization method; quality inspection is performed based on the standardized data segments.

[0038] It should be noted that the noise reduction process includes median filtering to remove burst noise, wavelet transform to eliminate high-frequency interference, and Kalman filtering to achieve signal smoothing.

[0039] It should be noted that quality inspection includes establishing hierarchical data quality inspection indicators; these data quality inspection indicators include integrity inspection indicators, continuity inspection indicators, and validity inspection indicators. The integrity inspection indicator sets an upper limit on the missing value ratio to a preset threshold, the continuity inspection indicator sets an upper limit on the data interruption duration to a preset duration, and the validity inspection indicator sets an upper limit on the standard deviation multiple of the value deviation from the mean to a preset multiple. The preset threshold indicates the tolerance for data missing, the preset duration defines the maximum acceptable time interval during the data collection process, and the preset multiple indicates the maximum allowable range of abnormal data deviation.

[0040] Furthermore, within each time window, the standardized data segments are sequentially scanned in segments to calculate the integrity test index value, continuity test index value, and validity test index value. The specific formula is as follows:

[0041]

[0042] in, is the integrity inspection index value, is the continuity test index value, is the validity test index value, is the number of missing data points in the time window, is the total number of data points in the time window, is the timestamp of the i-th data point, n is the number of data points in the time window, is the value of the currently detected data point, is the mean of the data in the time window, is the standard deviation of the data within the time window.

[0043] Specifically, when the integrity check index value When the value of the continuity test indicator is less than the preset threshold, the data integrity of this data segment does not meet the standard and the repair mechanism is activated; When the time is greater than the preset length, the data continuity of this data segment does not meet the standard and the repair mechanism is activated; when the validity test index value is greater than the preset multiple, this data segment is judged to be an abnormal value and the repair mechanism is activated.

[0044] It should be noted that the repair mechanism includes the following steps: if data is missing, linear interpolation is used to complete it; if data breakpoints occur, spline interpolation is used to smooth them; if outliers occur, local mean replacement is used.

[0045] Furthermore, the above inspection process is repeated on the repaired data until all indicator values ​​meet the indicator threshold and standardized data of qualified quality is output.

[0046] S2: Construct a spatiotemporal feature matrix, and map the standardized information to the spatiotemporal feature matrix according to the region identifier and timestamp to form structured security data.

[0047] Specifically, the basic structure of the spatiotemporal feature matrix is ​​defined, where the row dimension is the region identifier, the column dimension is the time series, and the matrix elements are used to store the standardized information of the corresponding spatiotemporal points. The specific formula of the spatiotemporal feature matrix is ​​as follows:

[0048]

[0049]

[0050] in, is the spatiotemporal feature matrix, is a real number set, indicating that the value range of matrix elements is real numbers. is the total number of region identifiers (i.e., the number of rows in the matrix, indicating the number of monitored regions), is the length of the time series (i.e. the number of columns of the matrix, representing the number of discrete time points), is the region identification index, is the time series index, is the original normalized information value of region d at time b, is the spatial weight coefficient of the ith region.

[0051] Furthermore, the row index of the spatiotemporal feature matrix is ​​allocated according to the regional identifier, and the regional identifier in the standardized information is converted into the row number of the spatiotemporal feature matrix through the regional code parser. The quadtree partitioning method is used for the monitoring area to generate a hierarchical regional code, and each sub-region obtains a unique row number; the column index of the spatiotemporal feature matrix is ​​allocated according to the timestamp, and the time axis is divided into equal intervals according to the system preset sampling period. The timestamp in the standardized information is mapped to the sampling time point to obtain the corresponding column number of the spatiotemporal feature matrix.

[0052] Furthermore, a data distribution buffer is established, and standardized information with the same area identification and timestamp is temporarily stored in the buffer, and arranged in the order of video stream data, card recognition data and environmental monitoring data; according to the standardized information arranged in the order, a data mapping operation is performed, and the standardized information read from the buffer is filled into the corresponding position of the spatiotemporal feature matrix; when several data sources generate information at the same spatiotemporal point, a data fusion method is used to merge and process them, and metadata tags are added to the spatiotemporal feature matrix to form structured security data.

[0053] It should be noted that metadata tags include information about data type, collection time, and processing parameters.

[0054] S3: Performing regional correlation analysis on the structured security data, calculating cross-regional security indicators based on security level thresholds, and generating integrated data.

[0055] Specifically, the integrated data is generated by segmenting the spatiotemporal feature matrix using a sliding time window (the default window size is 1 hour) and calculating the degree of correlation between any two regions using the Pearson correlation coefficient. The specific formula is as follows:

[0056]

[0057] in, is the correlation coefficient between region a and region d, is the covariance of the security indicators of area a and area d, is the standard deviation of region a, is the standard deviation of region d.

[0058] It should be noted that the correlation coefficient ranges from -1 to 1. When the coefficient is greater than 0.7, it is determined to be a strong correlation area, between 0.4 and 0.7, it is determined to be a moderate correlation area, and less than 0.4, it is determined to be a weak correlation area.

[0059] Furthermore, based on the degree of association, a regional association network is constructed, in which the nodes are monitoring areas and the edge weights are correlation coefficients; a spatial clustering algorithm is used to perform regional clustering on the regional association network, identify regional clusters with close association relationships, calculate the security situation indicators of the regional clusters, and analyze the risk propagation paths between regions.

[0060] Furthermore, the specific formula of the security situation index is as follows:

[0061]

[0062] in, is the scalar value of the security situation indicator, is the security density value of the ath area, is the time attenuation coefficient, is the time interval of the ath region, is the total number of regions, Score the current security level. is the target value of security level, is the standard deviation of regional security indicators.

[0063] Specifically, a security level threshold is set, and based on the security situation indicator, the security risk is divided into high-risk security risk, medium-risk security risk and low-risk security risk.

[0064] It should be noted that differentiated early warning and processing strategies are set up for high-risk security risks (security index below 80 points), medium-risk security risks (security index between 80-90 points) and low-risk security risks (security index above 90 points). For high-risk security risks, emergency response mechanisms are activated, security personnel are added and real-time monitoring is carried out; for medium-risk security risks, the frequency of patrols and the density of video surveillance are increased; and for low-risk security risks, conventional prevention and control measures are maintained.

[0065] Furthermore, when the security situation index is less than a first threshold, the security risk is classified as a high-risk security risk; when the security situation index is greater than or equal to the first threshold and less than a second threshold, the security risk is classified as a medium-risk security risk; when the security situation index is greater than or equal to the second threshold, the security risk is classified as a low-risk security risk.

[0066] It should be noted that the security level threshold includes a first threshold and a second threshold; the first threshold is determined by statistical analysis of historical security event data, combined with regional security risk assessment standards, using information entropy and minimum variance method; the second threshold is determined by comprehensive evaluation of security facility coverage, regional correlation and historical alarm data based on the fuzzy hierarchical analysis method.

[0067] Furthermore, a multi-dimensional cross-regional evaluation system is constructed to integrate regional correlation strength indicators, security situation indicators and transmission risk indicators, and the hierarchical analysis method (AHP) is used to determine the weight of each indicator, establish a comprehensive scoring model, and generate a regional security situation map; the regional correlation network analysis results and the scoring results of the comprehensive scoring model are integrated to form structured integrated data; based on the integrated data, it is distributed to each subsystem according to the preset data exchange protocol, and the receiving status of the subsystem is recorded to complete the information integration.

[0068] It should be noted that the comprehensive scoring model is a multi-dimensional scoring system constructed based on the hierarchical analysis method by allocating weights and performing weighted calculations on regional correlation strength indicators, security situation indicators, and transmission risk indicators.

[0069] S4: Distribute the integrated data to each subsystem according to the preset data exchange protocol, and record the receiving status of the subsystem to complete the information integration.

[0070] Specifically, a data exchange protocol framework was defined, using the JSON-RPC protocol to encapsulate integrated data, with message headers containing the data version number, timestamp, source identifier, and target subsystem code. A data distribution priority mechanism was defined, categorizing subsystems into three priority levels. A data integrity verification mechanism was established, using the SHA-256 algorithm to generate checksums for data packets.

[0071] It should be noted that the three priority levels are the first subsystem (response time not exceeding 100 milliseconds), the second subsystem (response time not exceeding 500 milliseconds), and the third subsystem (response time not exceeding 2 seconds).

[0072] Furthermore, a subsystem data distribution channel is established, and a data receiving queue is created for the subsystem; the data receiving queue is dynamically adjusted according to the processing capacity of the subsystem, and the default queue length is set to 1000, and the network connection parameters of the subsystem are configured; the network connection parameters include IP address, port number, timeout period and maximum number of concurrent connections; a heartbeat detection mechanism is established to send a heartbeat packet to each subsystem every 30 seconds; the online status of the subsystem is detected, and when the subsystem is detected to be offline, the data of the subsystem is temporarily stored in the local cache and automatically resent after the system is back online.

[0073] Furthermore, data distribution operations are performed to parse the target subsystem list of the integrated data package; the data distribution scope is determined based on the data content and business rules, and data is distributed in the order of subsystem priority. If the priorities are the same, a polling method is used.

[0074] Specifically, oversized data packets are fragmented, with each fragment size not exceeding 1MB to ensure transmission efficiency. The sending time, target subsystem and distribution status of each data packet are recorded, and the network bandwidth usage during data distribution is monitored. When the bandwidth usage exceeds 80%, the flow control strategy is automatically started; the receiving status management is tracked, a subsystem receiving status log is created, and the reception confirmation information of each data packet is recorded, including the reception time, processing time and processing results. A receiving timeout alarm mechanism is set. When the subsystem fails to return confirmation information within the preset time, an alarm is triggered. The data reception success rate of each subsystem is counted. When the success rate is lower than 98%, an exception report is automatically generated, and a data retransmission queue is established. Data packets that failed to be received are periodically retransmitted until they are received successfully or the maximum number of retries is reached.

[0075] Furthermore, the data reception status of each subsystem is summarized, the abnormal situations in the data distribution process are analyzed, and a distribution report summary is generated; the data reception status includes the amount of received data, processing delay and success rate; abnormal situations include network failures, timeouts and verification failures; the distribution report is archived and the retention period is set to 90 days for subsequent system optimization and problem tracing.

[0076] Furthermore, this embodiment also provides an information integration system for a comprehensive security integrated management system, including: a generation module for performing segmented sampling and noise reduction on the collected security information stream based on a preset time window to generate standardized information; a construction module for constructing a spatiotemporal feature matrix and mapping the standardized information to the spatiotemporal feature matrix according to regional identifiers and timestamps to form structured security data; an analysis module for performing regional correlation analysis on the structured security data, calculating cross-regional security indicators based on security level thresholds, and generating integrated data; and a distribution module for distributing the integrated data to each subsystem according to a preset data exchange protocol and recording the subsystem's reception status to complete information integration.

[0077] This embodiment also provides a computer device, which is suitable for the information integration method of the comprehensive security integrated management system, including a memory and a processor; the memory is used to store computer-executable instructions, and the processor is used to execute computer-executable instructions to implement the information integration method of the comprehensive security integrated management system proposed in the above embodiment.

[0078] The computer device may be a terminal, comprising a processor, memory, a communication interface, a display, and an input device connected via a system bus. The processor provides computing and control capabilities. The memory includes non-volatile storage media and internal memory. The non-volatile storage media stores an operating system and computer programs. The internal memory provides an environment for the operating system and computer programs stored in the non-volatile storage media. The communication interface of the computer device is used to communicate with external terminals via wired or wireless communication. Wireless communication may be achieved via Wi-Fi, a carrier network, NFC (near-field communication), or other technologies. The display of the computer device may be a liquid crystal display or an electronic ink display. The input device may be a touchscreen overlay on the display, buttons, a trackball, or a touchpad on the computer device housing, or an external keyboard, touchpad, or mouse.

[0079] This embodiment also provides a storage medium having a computer program stored thereon, which, when executed by a processor, implements the following steps: performing segmented sampling and noise reduction on the collected security information stream based on a preset time window to generate standardized information; constructing a spatiotemporal feature matrix, mapping the standardized information to the spatiotemporal feature matrix according to regional identifiers and timestamps to form structured security data; performing regional correlation analysis on the structured security data, calculating cross-regional security indicators based on security level thresholds, and generating integrated data; distributing the integrated data to each subsystem according to a preset data exchange protocol, and recording the receiving status of the subsystem to complete information integration.

[0080] In summary, the present invention improves the quality of source data through segmented sampling and noise reduction processing based on time windows, realizes the structured expression of multi-source data by using spatiotemporal feature matrix, performs security situation assessment based on regional correlation analysis, and completes data distribution and status monitoring between systems through preset protocols, effectively solving technical problems such as poor data quality, weak system coordination, and inaccurate situation assessment in traditional security systems, realizing standardized processing and intelligent integration of security information, and providing reliable technical support for comprehensive security management.

[0081] Example 2

[0082] Referring to Table 1, which is a second embodiment of the present invention, this embodiment provides an information integration method for a comprehensive security integrated management system. In order to verify the beneficial effects of the present invention, scientific demonstration is carried out through economic benefit calculation and simulation experiments.

[0083] Specifically, a large commercial complex was selected as the test site. This complex, with a total construction area of ​​120,000 square meters, includes three main functional areas: a shopping mall, office buildings, and an underground parking garage. These areas are divided into 12 security monitoring zones. Initially, 264 high-definition cameras, 156 access control readers, and 92 environmental sensors were deployed. The test lasted 30 days, with a sampling window of one hour.

[0084] Furthermore, the collected security information stream is preprocessed, with the sampling frequency set to 10 frames per second for video stream, real-time collection of access control data, and 30 seconds per time for environmental data; wavelet transform is used to reduce noise on the original data to remove noise caused by factors such as equipment jitter, lighting changes, and electromagnetic interference; and the Z-score method is used for standardization to ensure the comparability of different types of data.

[0085] Furthermore, a 144×720 spatiotemporal feature matrix (12 regions × 30 days × 24 hours) was constructed to achieve structured data mapping. During the matrix construction process, a quadtree algorithm was used to hierarchically encode the monitored areas and establish a 1GB data distribution buffer to ensure real-time and accurate data mapping.

[0086] Specifically, regional associations were calculated based on a one-hour sliding time window. The Pearson correlation coefficient was used to analyze the association between any two regions, and a 12×12 regional association network was constructed. The DBSCAN spatial clustering algorithm was used to identify clusters of associated regions, with clustering parameters set to eps=0.6 and minPts=3.

[0087] Furthermore, the weights of three core indicators were determined through the hierarchical analysis method: regional correlation strength index (0.35), security situation index (0.4) and transmission risk index (0.25); security level thresholds were set: the first threshold was 0.65, and the second threshold was 0.85; and the integrated data was distributed to the three subsystems of video surveillance, access control and environmental monitoring in accordance with the unified data exchange protocol JSON format.

[0088] Furthermore, as shown in Table 1, analysis of security situation assessment data for six typical monitoring areas shows that the commercial center in Area A, due to its dense flow of people and comprehensive security facilities, has the highest security density value of 0.92 and security situation index of 0.88, with an overall score of 0.89. In contrast, the parking lot in Area D, due to its open space and frequent personnel flow, has a security density value of 0.78 and a risk transmission coefficient of 0.35, the highest among all areas.

[0089] Table 1 Test data

[0090] Monitoring area Security density value Regional correlation Security situation indicators Risk transmission coefficient System response time (ms) Overall score Area A Commercial Center 0.92 0.87 0.88 0.15 78 0.89 Office Area B 0.88 0.85 0.86 0.18 82 0.86 Area C Leisure Area 0.85 0.82 0.84 0.22 85 0.84 Parking lot D 0.78 0.75 0.76 0.35 92 0.77 E Zone Equipment Area 0.89 0.86 0.87 0.16 80 0.87 F Zone Logistics Area 0.82 0.79 0.81 0.28 88 0.81

[0091] Specifically, system performance showed that response times in all areas were kept below 100ms, with the commercial center in Area A achieving the fastest response time at just 78ms. Regional correlation data showed that the correlation for core functional areas (A, B, and E) was generally above 0.85. This high correlation facilitates coordinated awareness and coordinated response across regions. The tabular data clearly demonstrates that the system is able to implement differentiated security management based on the characteristics of different functional areas while maintaining high system response efficiency.

[0092] It should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention and are not intended to limit the present invention. Although the present invention has been described in detail with reference to the preferred embodiments, those skilled in the art should understand that the technical solutions of the present invention may be modified or replaced by equivalents without departing from the spirit and scope of the technical solutions of the present invention, which should all be included in the scope of the claims of the present invention.

Claims

1. An information integration method for a comprehensive security integrated management system, characterized by: include, Based on the preset time window, the collected security information stream is sampled and denoised in sections to generate standardized information; Constructing a spatiotemporal feature matrix, mapping the standardized information to the spatiotemporal feature matrix according to the region identifier and the timestamp to form structured security data; Performing regional correlation analysis on the structured security data, calculating cross-regional security indicators based on security level thresholds, and generating integrated data; Distribute the integrated data to each subsystem according to the preset data exchange protocol, and record the receiving status of the subsystem to complete the information integration; Define a basic structure of a spatiotemporal feature matrix, wherein the row dimension of the basic structure is the region identifier and the column dimension is the time series; Assign row indices of the spatiotemporal feature matrix according to the region identifier, convert the region identifier in the standardized information into the row number of the spatiotemporal feature matrix through the region code parser, and use the quadtree partitioning method to generate hierarchical region codes for the monitoring area; Assign spatiotemporal feature matrix column indexes by timestamp, divide the time axis into equal intervals according to the system preset sampling period, map the timestamps in the standardized information to the sampling time points, and obtain the column numbers of the corresponding spatiotemporal feature matrix; Establish a data distribution buffer, temporarily store standardized information with the same area identification and timestamp in the buffer, and arrange them in the order of security information; According to the standardized information arranged in the order, a data mapping operation is performed to fill the standardized information read from the buffer into the corresponding position of the spatiotemporal feature matrix; When several data sources generate information at the same time and space point, data fusion methods are used to merge and process them, and metadata tags are added to the time and space feature matrix to form structured security data; The method for generating the integrated data is: The sliding time window is used to segment the spatiotemporal feature matrix, and the Pearson correlation coefficient is used to calculate the correlation between any two regions. Based on the degree of association, a regional association network is constructed, wherein the nodes are monitoring areas and the edge weights are correlation coefficients; Using a spatial clustering algorithm to cluster the regional association network, identify regional clusters with close association relationships, calculate security situation indicators of the regional clusters, and analyze risk transmission paths between regions; Setting security level thresholds and classifying security risks into high-risk security risks, medium-risk security risks, and low-risk security risks based on the security situation indicators; Construct a multi-dimensional cross-regional assessment system, integrating regional correlation strength indicators, security situation indicators, and transmission risk indicators. Use the analytic hierarchy process (AHP) to determine the weight of each indicator, establish a comprehensive scoring model, and generate a regional security situation map. Integrate the regional association network analysis results and the scoring results of the comprehensive scoring model to form structured integrated data; Based on the integrated data, it is distributed to each subsystem according to the preset data exchange protocol, and the receiving status of the subsystem is recorded to complete the information integration.

2. The information integration method of the comprehensive security integrated management system according to claim 1, characterized in that: The specific formula of the security situation index is as follows: in, is the scalar value of the security situation indicator, is the security density value of the ath area, is the time attenuation coefficient, is the time interval of the ath region, is the total number of regions, Score the current security level. is the target value of security level, is the standard deviation of the regional security index; When the security situation index is less than the first threshold, the security risk is classified as a high-risk security risk; when the security situation index is greater than or equal to the first threshold and less than the second threshold, the security risk is classified as a medium-risk security risk; when the security situation index is greater than or equal to the second threshold, the security risk is classified as a low-risk security risk.

3. The information integration method of the comprehensive security integrated management system according to claim 1, characterized in that: The specific formula of the spatiotemporal feature matrix is ​​as follows: in, is the spatiotemporal feature matrix, is a real number set, indicating that the value range of matrix elements is real numbers. is the total number of region identifiers, is the length of the time series, is the region identification index, is the time series index, is the original normalized information value of region d at time b, is the spatial weight coefficient of the ith region.

4. The information integration method of the comprehensive security integrated management system according to claim 1, characterized in that: The collected security information stream is segmented and noise-reduced based on a preset time window to generate standardized information, including: Configuring sampling parameters based on security information and dividing continuous security information into data segments according to preset time windows, wherein the security information includes video stream data, card recognition data, and environmental monitoring data; Performing noise reduction processing on the data segment, and standardizing the noise-reduced data segment using a Z-score standardization method; Performing quality inspection based on the standardized data segments, wherein the quality inspection includes establishing hierarchical data quality inspection indicators; The data quality inspection indicators include integrity inspection indicators, continuity inspection indicators and validity inspection indicators, wherein the integrity inspection indicator sets the upper limit of the missing value ratio to a preset threshold, the continuity inspection indicator sets the upper limit of the data interruption duration to a preset duration, and the validity inspection indicator sets the upper limit of the standard deviation multiple of the value deviation from the mean to a preset multiple.

5. The information integration method of the comprehensive security integrated management system according to claim 4, characterized in that: Also includes, The standardized data segments are scanned in segments and the integrity test index value, continuity test index value and validity test index value are calculated. The specific formula is as follows: in, is the integrity inspection index value, is the continuity test index value, is the validity test index value, is the number of missing data points in the time window, is the total number of data points in the time window, is the timestamp of the i-th data point, n is the number of data points in the time window, is the value of the currently detected data point, is the mean of the data in the time window, is the standard deviation of the data within the time window.

6. An information integration system for an integrated security integrated management system, based on the information integration method for an integrated security integrated management system according to any one of claims 1 to 5, characterized in that: include, The generation module performs segmented sampling and noise reduction on the collected security information stream based on a preset time window to generate standardized information; A construction module, configured to construct a spatiotemporal feature matrix, and map the standardized information to the spatiotemporal feature matrix according to the region identifier and the timestamp to form structured security data; An analysis module, configured to perform regional correlation analysis on the structured security data, calculate cross-regional security indicators based on security level thresholds, and generate integrated data; The distribution module is used to distribute the integrated data to each subsystem according to the preset data exchange protocol, and record the receiving status of the subsystem to complete the information integration.

7. A computer device comprising a memory and a processor, wherein the memory stores a computer program, wherein: When the processor executes the computer program, the steps of the information integration method of the comprehensive security integrated management system according to any one of claims 1 to 5 are implemented.

8. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the steps of the information integration method of the comprehensive security integrated management system according to any one of claims 1 to 5 are implemented.

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