Information integration method for comprehensive security and protection integrated management system

Abstract

The invention discloses an information integration method for a comprehensive security and protection integrated management system, and relates to the technical field of security and protection information processing, and the method comprises the steps: carrying out the segmented sampling and noise reduction of a collected security and protection information flow based on a preset time window, and generating standardized information; constructing a spatio-temporal characteristic matrix, and mapping the standardized information to the spatio-temporal characteristic matrix according to the region identifier and the timestamp to form structured security and protection data; performing regional correlation analysis on the structured security and protection data, calculating a cross-regional security and protection index based on a security and protection grade threshold, and generating integrated data; and distributing the integrated data to each subsystem according to a preset data exchange protocol, and recording a receiving state of the subsystem to complete information integration. The technical problems of poor data quality, weak system collaboration, inaccurate situation assessment and the like in a traditional security and protection system are effectively solved, standardized processing and intelligent integration of security and protection information are realized, and reliable technical support is provided for comprehensive security and protection 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 mainly rely on independent subsystems such as video surveillance, access control management, and alarm equipment for security protection. However, with the development of Internet of Things technology and artificial intelligence, security systems are gradually evolving towards digitalization, networking, and intelligence. Modern comprehensive security integrated management systems integrate multi-source heterogeneous security data to achieve cross-system and cross-regional collaborative linkage, greatly improving the efficiency of security management and the accuracy of security control. However, due to the diversity of security information sources, the heterogeneity of data formats, and noise interference during the collection process, how to effectively achieve standardized processing and system integration of security information is still a technical problem that needs to be solved urgently.

[0003] At present, the existing security information integration methods have the following main shortcomings: First, traditional information integration methods often use simple data aggregation methods, lack of in-depth analysis of temporal characteristics and spatial correlation, resulting in the inability to accurately grasp the evolution of security situations between regions; second, in the data processing process, the timeliness and reliability of information are not fully considered, and it is easy to be affected by noise interference and affect the data quality; third, the existing integration methods usually use a fixed data exchange mode, which is difficult to adapt to the personalized needs of different subsystems, affecting the interoperability of systems. In addition, there is a lack of a quantitative evaluation mechanism for regional security situations, which cannot provide effective data support for security decisions. These problems seriously restrict the application effect of the comprehensive security integrated management system.

[0004] In view of the above problems existing in the prior art, the present invention provides an information integration method for a comprehensive security integrated management system, which effectively solves the 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 coordination 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 an integrated security management system, which includes segmenting and denoising the collected security information flow based on a preset time window to generate standardized information; constructing a spatio-temporal feature matrix, mapping the standardized information to the spatio-temporal feature matrix according to the area identifier and timestamp to form structured security data; performing regional correlation analysis on the structured security data, calculating cross-regional security indicators based on a security level threshold to generate 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 solution of the information integration method for the integrated security management system of the present invention, wherein: the method for generating the integrated data is to perform segmented processing on the spatio-temporal feature matrix by using a sliding time window, and calculate the correlation degree between any two regions by using the Pearson correlation coefficient; based on the correlation degree, construct a regional correlation network, where the nodes are monitoring regions and the edge weights are correlation coefficients; use a spatial clustering algorithm to perform regional clustering on the regional correlation network, identify regional clusters with close correlation relationships, calculate the security situation indicators of the regional clusters, and analyze the risk propagation paths between regions; set a security level threshold, and based on the security situation indicators, divide the security risks into high-risk security risks, medium-risk security risks and low-risk security risks; construct a multi-dimensional cross-regional evaluation system, integrate regional correlation intensity indicators, security situation indicators and propagation risk indicators, and use the Analytic Hierarchy Process (AHP) to determine the weights of each indicator, establish a comprehensive scoring model, and generate a regional security situation map; integrate the results of the regional correlation network analysis and the scoring results of the comprehensive scoring model to form structured integrated data; based on the integrated data, distribute it to each subsystem according to a preset data exchange protocol, and record the receiving status of the subsystem to complete information integration.

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

[0011]

[0012] where STI is the scalar value of the security situation indicator, D a is the security density value of the a-th region, λ is the time decay coefficient, t a is the time interval of the a-th region, A is the total number of regions, B is the current security level score, C is the security level target value, and ε is the standard deviation of the regional security indicator.

[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 integrated security management system according to the present invention, wherein: a spatio-temporal feature matrix is constructed, and the standardized information is mapped to the spatio-temporal feature matrix according to the area identifier and the timestamp to form structured security data, including: defining the basic structure of the spatio-temporal feature matrix, the row dimension of the basic structure is the area identifier, and the column dimension is the time series; allocating row indexes of the spatio-temporal feature matrix according to the area identifier, converting the area identifier in the standardized information into the row number of the spatio-temporal feature matrix through an area coding parser, and adopting a quadtree partitioning method for the monitored area to generate a hierarchical area code; allocating column indexes of the spatio-temporal feature matrix according to the timestamp, equally dividing the time axis at equal intervals according to the preset sampling period of the system, corresponding the timestamp in the standardized information to the sampling time point, and obtaining the column number corresponding to the spatio-temporal feature matrix; establishing a data distribution buffer, temporarily storing the standardized information with the same area identifier and timestamp in the buffer, and arranging them in the order of security information; according to the standardized information arranged in the order, performing a data mapping operation, and filling the standardized information read from the buffer into the corresponding position of the spatio-temporal feature matrix; when several data sources generate information at the same spatio-temporal point, a data fusion method is adopted for merging and processing, and a metadata label is added to the spatio-temporal feature matrix to form structured security data.

[0015] As a preferred solution of the information integration method of the integrated security management system according to the present invention, wherein: the specific formula of the spatio-temporal feature matrix is as follows:

[0016]

[0017] wherein, M is the spatio-temporal feature matrix, is a set of real numbers indicating that the matrix element value range is real numbers, R is the total number of area identifiers, Y is the length of the time series, d is the area identifier index, b is the time series index, v db is the original standardized information value of area d at time b, w d is the spatial weight coefficient of the i-th area.

[0018] As a preferred solution of the information integration method of the integrated security management system described in the present invention, it includes: segmenting and denoising the collected security information flow based on a preset time window to generate standardized information, including: configuring sampling parameters according to the security information, and segmenting continuous security information into data segments according to the preset time window, where the security information includes video stream data, card recognition data, and environmental monitoring data; performing denoising processing on the data segments, and performing standardized processing on the denoised data segments using the Z-score standardization method; performing quality inspection based on the standardized data segments, where 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, where the integrity inspection indicator sets the upper limit of the missing value ratio as a preset threshold, the continuity inspection indicator sets the upper limit of the data interruption duration as a preset duration, and the validity inspection indicator sets the upper limit of the standard deviation multiple of the value deviating from the mean as a preset multiple.

[0019] As a preferred solution of the information integration method of the integrated security management system described in the present invention, it further includes: performing segmented sequence scanning on the standardized data, and calculating the integrity inspection indicator value, continuity inspection indicator value, and validity inspection indicator value. The specific formulas are as follows:

[0020] CI=(1 - n / m)×100

[0021] TI = max(T i+1 -T i ), i ∈ [1, n - 1]

[0022] VI = |X - μ| / σ

[0023] Where CI is the integrity inspection indicator value, TI is the continuity inspection indicator value, VI is the validity inspection indicator value, n is the number of missing data points within the time window, m is the total number of data points within the time window, T i is the timestamp of the i-th data point, n is the number of data points within the time window, X is the value of the currently detected data point, μ is the mean of the data within the time window, and σ is the standard deviation of the data within the time window.

[0024] In a second aspect, an information integration system for an integrated security management system according to an embodiment of the present invention includes: a generation module configured to perform segmented sampling and noise reduction on the collected security information flow based on a preset time window to generate standardized information; a construction module configured to construct a spatio-temporal feature matrix and map the standardized information to the spatio-temporal feature matrix according to a region identifier and a timestamp to form structured security data; an analysis module configured to perform regional correlation analysis on the structured security data, calculate a cross-region security index based on a security level threshold, and generate integrated data; and a distribution module configured to distribute the integrated data to each subsystem according to a preset data exchange protocol and record the reception status of the subsystem to complete information integration.

[0025] In a third aspect, an embodiment of the present invention provides a computer device, including a memory and a processor, where the memory stores a computer program, and: when the computer program instructions are executed by the processor, the steps of the information integration method of the integrated security management system as described in the first aspect of the present invention are implemented.

[0026] In a fourth aspect, an embodiment of the present invention provides a computer-readable storage medium, on which a computer program is stored, and: when the computer program instructions are executed by the processor, the steps of the information integration method of the integrated security management system as described in the first aspect of the present invention are implemented.

[0027] 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 a time window, realizes the structured expression of multi-source data by using a spatio-temporal feature matrix, performs security situation assessment based on regional correlation analysis, and completes data distribution and status monitoring between systems through a preset protocol, 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 integrated security management. BRIEF DESCRIPTION OF THE DRAWINGS

[0028] In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings required for the description of the embodiments will be briefly introduced below. Obviously, the drawings in the following description are only some embodiments of the present invention, and those of ordinary skill in the art can also obtain other drawings based on these drawings without creative efforts. Among them:

[0029] Figure 1 It is a flowchart of the information integration method of the integrated security management system for Embodiment 1. DETAILED DESCRIPTION

[0030] To make the above objects, features, and advantages of the present invention more apparent and understandable, the following provides a detailed description of the specific embodiments of the present invention in conjunction with the accompanying drawings of the specification.

[0031] In the following description, numerous specific details are set forth in order to provide a thorough understanding of the present invention. However, the present invention may be implemented in other ways different from those described herein. Those skilled in the art can make similar generalizations without departing from the spirit and scope of the present invention. Therefore, the present invention is not limited by the specific embodiments disclosed below.

[0032] Secondly, the so-called "one embodiment" or "embodiment" herein refers to a specific feature, structure, or characteristic that may be included in at least one implementation manner of the present invention. The appearances of "in one embodiment" in different places in this specification do not all refer to the same embodiment, nor are they separate or alternative embodiments that exclude each other with other embodiments.

[0033] Embodiment 1

[0034] Refer to Figure 1 , which is the first embodiment of the present invention. This embodiment provides an information integration method for an integrated security management system, including:

[0035] S1: Segment and denoise the collected security information flow based on a preset time window to generate standardized information.

[0036] Specifically, the method for generating standardized information is to configure sampling parameters according to the security information and divide the continuous security information flow into data segments according to the preset time window.

[0037] It should be noted that the parameters of the time window set by the integrated security 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 configured for the security information is not less than 2 times the highest frequency of the signal; the security information includes video stream data of surveillance cameras, card recognition data of access control controllers, and environmental monitoring data of security sensors.

[0038] Furthermore, perform denoising processing on the data segments, and use the Z-score normalization method to normalize the denoised data; perform quality inspection based on the normalized data segments.

[0039] It should be noted that the denoising processing includes median filtering to remove burst noise, wavelet transform to eliminate high-frequency interference, and Kalman filtering to achieve signal smoothing.

[0040] It should be noted that 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. Among them, the integrity inspection indicator sets the upper limit of the missing value ratio as a preset threshold, the continuity inspection indicator sets the upper limit of the data interruption duration as a preset duration, and the validity inspection indicator sets the upper limit of the standard deviation multiple of the numerical deviation from the mean as a preset multiple. The preset threshold represents the allowable degree of data loss, the preset duration defines the maximum acceptable time interval during the data acquisition process, and the preset multiple represents the maximum allowable range of abnormal data deviation.

[0041] Furthermore, within each time window, perform a segmented sequence scan on the standardized data, and calculate the integrity inspection indicator value, continuity inspection indicator value, and validity inspection indicator value. The specific formulas are as follows:

[0042] CI = (1 - n / m) × 100

[0043] TI = max(T i+1 -T i ), i ∈ [1, n - 1]

[0044] VI = |X - μ| / σ

[0045] Where CI is the integrity inspection indicator value, TI is the continuity inspection indicator value, VI is the validity inspection indicator value, n is the number of missing data points within the time window, m is the total number of data points within the time window, T i is the timestamp of the i-th data point, n is the number of data points within the time window, X is the value of the currently detected data point, μ is the mean of the data within the time window, and σ is the standard deviation of the data within the time window.

[0046] Specifically, when the integrity inspection indicator value CI is less than the preset threshold, the data integrity of this data segment does not meet the standard, and the repair mechanism is started; when the continuity inspection indicator value TI is greater than the preset duration, the data continuity of this data segment does not meet the standard, and the repair mechanism is started; when the validity inspection indicator value is greater than the preset multiple, it is determined that this data segment is an outlier, and the repair mechanism is started.

[0047] It should be noted that the repair mechanism includes the following steps: if data is missing, use linear interpolation to complete it; if there is a data breakpoint, use spline interpolation to smooth it; if there is an outlier, use local mean replacement.

[0048] Further, repeat the above inspection process on the repaired data until all indicator values meet the indicator thresholds, and output the standardized data with qualified quality.

[0049] S2: Construct a spatio-temporal feature matrix, map the standardized information to the spatio-temporal feature matrix according to the area identifier and time stamp, and form structured security data.

[0050] Specifically, define the basic structure of the spatio-temporal feature matrix, where the row dimension is the area identifier, the column dimension is the time series, and the matrix elements are used to store the standardized information of the corresponding spatio-temporal points; the specific formula of the spatio-temporal feature matrix is as follows:

[0051]

[0052] where M is the spatio-temporal feature matrix, is a set of real numbers, indicating that the matrix element value range is real numbers, R is the total number of area identifiers (i.e., the number of rows of the matrix, representing the number of monitored areas), Y is the length of the time series (i.e., the number of columns of the matrix, representing the number of discrete time points), d is the area identifier index, b is the time series index, v db is the original standardized information value of area d at time b, w d is the spatial weight coefficient of the i-th area.

[0053] Further, allocate the row index of the spatio-temporal feature matrix according to the area identifier, convert the area identifier in the standardized information to the row number of the spatio-temporal feature matrix through the area coding parser, and adopt the quadtree division method for the monitored area to generate a hierarchical area coding, and each sub-area obtains a unique row number; allocate the column index of the spatio-temporal feature matrix according to the time stamp, equally divide the time axis at equal intervals according to the system preset sampling period, and map the time stamp in the standardized information to the sampling time point to obtain the corresponding column number of the spatio-temporal feature matrix.

[0054] Furthermore, establish a data distribution buffer, temporarily store the standardized information with the same area identifier and time stamp in the buffer, and arrange it in the order of video stream data, card recognition data, and environmental monitoring data; according to the standardized information arranged in the above order, perform a data mapping operation, and fill the standardized information read from the buffer into the corresponding position of the spatio-temporal feature matrix; when several data sources generate information at the same spatio-temporal point, then adopt a data fusion method for merging processing, and add metadata tags to the spatio-temporal feature matrix to form structured security data.

[0055] It should be noted that the metadata tags include information on data type, acquisition time, and processing parameters.

[0056] S3: Perform regional correlation analysis on the structured security data, calculate the cross-regional security index based on the security level threshold, and generate integrated data.

[0057] Specifically, the method for generating integrated data is to segment the spatio-temporal feature matrix using a sliding time window (default window size is 1 hour), and calculate the correlation degree between any two regions using the Pearson correlation coefficient. The specific formula is as follows:

[0058]

[0059] Among them, H ad is the correlation coefficient between region a and region d. Cov(X a , X d ) is the covariance of the security indices of region a and region d. τ a is the standard deviation of region a, and μ d is the standard deviation of region d.

[0060] It should be noted that the value range of the correlation coefficient is between -1 and 1. When the coefficient is greater than 0.7, it is determined as a strongly correlated region; when it is between 0.4 and 0.7, it is determined as a moderately correlated region; and when it is less than 0.4, it is determined as a weakly correlated region.

[0061] Furthermore, based on the degree of correlation, a regional correlation network is constructed, where the nodes are monitoring regions and the edge weights are correlation coefficients. The spatial clustering algorithm is used to cluster the regions in the regional correlation network to identify region clusters with close correlation relationships, calculate the security situation indices of the region clusters, and analyze the risk propagation paths between regions.

[0062] Even further, the specific formula for the security situation index is as follows:

[0063]

[0064] Among them, STI is the scalar value of the security situation index, D a is the security density value of the a-th region, λ is the time decay coefficient, t a is the time interval of the a-th region, A is the total number of regions, B is the current security level score, C is the security level target value, and ε is the standard deviation of the regional security index.

[0065] Specifically, a security level threshold is set, and based on the security situation index, security risks are divided into high-risk security risks, medium-risk security risks, and low-risk security risks.

[0066] It should be noted that 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); corresponding differential early warning and treatment strategies are set. For high-risk security risks, an emergency response mechanism is activated, additional security personnel are dispatched and monitored in real time; for medium-risk security risks, the inspection frequency and video monitoring density are increased; for low-risk security risks, routine prevention and control measures are maintained.

[0067] Further, 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.

[0068] It should be noted that the security level thresholds include the first threshold and the second threshold; the first threshold is determined by statistically analyzing historical security event data, combining with the regional security risk assessment standard, and using the information entropy and minimum variance method; the second threshold is determined based on the fuzzy analytic hierarchy process by comprehensively evaluating the security facility coverage rate, regional correlation degree, and historical police situation data.

[0069] Furthermore, a multi-dimensional cross-regional evaluation system is constructed, integrating the regional correlation intensity index, security situation index, and propagation risk index, and using the analytic hierarchy process (AHP) to determine the weights of each index, establishing a comprehensive scoring model, and generating a regional security situation map; integrating the regional correlation network analysis results and the scoring results of the comprehensive scoring model to form structured integrated data; based on the integrated data, distributing it to each subsystem according to a preset data exchange protocol, and recording the receiving status of the subsystem to complete information integration.

[0070] It should be noted that the comprehensive scoring model is a multi-dimensional scoring system constructed by assigning weights and performing weighted calculations on the regional correlation intensity index, security situation index, and propagation risk index based on the analytic hierarchy process.

[0071] S4: 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.

[0072] Specifically, define the data exchange protocol framework, encapsulate the integrated data using the JSON-RPC protocol, and set the message header information to include the data version number, timestamp, source identifier, and target subsystem code. Define the data distribution priority mechanism, divide the subsystems into three priority levels, establish a data integrity verification mechanism, and use the SHA-256 algorithm to generate the verification code of the data packet.

[0073] 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).

[0074] Furthermore, establish a data distribution channel for the subsystems, and create a data receiving queue for each 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 items. Configure the network connection parameters of the subsystem; the network connection parameters include IP address, port number, timeout period, and maximum concurrent connection number. Establish a heartbeat detection mechanism, and send a heartbeat packet to each subsystem every 30 seconds; detect the online status of the subsystem. When a subsystem is detected to be offline, temporarily store the data of that subsystem in the local cache, and automatically reissue it after the system resumes online.

[0075] Furthermore, perform a data distribution operation, parse the target subsystem list of the integrated data packet; determine the data distribution scope according to the data content and business rules, and perform data distribution in the order of subsystem priorities. When the priorities are the same, use a polling method.

[0076] Specifically, perform fragmentation processing on ultra-large data packets, with each fragment size not exceeding 1MB to ensure transmission efficiency. Record the sending time, target subsystem, and distribution status of each data packet, monitor the network bandwidth occupancy during the data distribution process. When the bandwidth utilization rate exceeds 80%, automatically activate the traffic control strategy; track the reception status management, create a subsystem reception status log, record the reception confirmation information of each data packet, including reception time, processing time consumption, and processing result. Set up a reception timeout warning mechanism. When a subsystem fails to return a confirmation message after a preset time, trigger a warning prompt. Statistically calculate the data reception success rate of each subsystem. When the success rate is lower than 98%, automatically generate an exception report, establish a data reissue queue, and regularly resend the data packets that failed to be received until they are received successfully or the maximum retry count is reached.

[0077] Furthermore, summarize the data reception situations of each subsystem, analyze the abnormal situations during the data distribution process, and generate a distribution report summary; the data reception situations include the received data volume, processing delay, and success rate; the abnormal situations include network failures, timeout situations, and verification failures; archive the distribution report and set the retention period to 90 days for subsequent system optimization and problem tracing.

[0078] Furthermore, this embodiment also provides an information integration system for the integrated security management system, including: a generation module, which performs segmented sampling and noise reduction on the collected security information flow based on a preset time window to generate standardized information. A construction module, which is used to construct a spatio-temporal feature matrix, map the standardized information to the spatio-temporal feature matrix according to the area identifier and time stamp 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 the security level threshold, 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 reception status of the subsystem to complete information integration.

[0079] This embodiment also provides a computer device, which is applicable to the information integration method of the integrated security management system, including a memory and a processor; the memory is used to store computer-executable instructions, and the processor is used to execute the computer-executable instructions to implement the information integration method of the integrated security management system proposed in the above embodiment.

[0080] The computer device may be a terminal, and the computer device includes a processor, a memory, a communication interface, a display screen, and an input device connected through a system bus. Among them, the processor of the computer device is used to provide computing and control capabilities. The memory of the computer device includes a non-volatile storage medium and an internal memory. The non-volatile storage medium stores an operating system and a computer program. The internal memory provides an environment for the operation of the operating system and the computer program in the non-volatile storage medium. The communication interface of the computer device is used to communicate with an external terminal in a wired or wireless manner, and the wireless manner can be implemented through WIFI, a carrier network, NFC (Near Field Communication), or other technologies. The display screen of the computer device may be a liquid crystal display screen or an electronic ink display screen, and the input device of the computer device may be a touch layer covered on the display screen, or a button, a trackball, or a touchpad provided on the outer shell of the computer device, or an external keyboard, a touchpad, or a mouse, etc.

[0081] This embodiment also provides a storage medium, on which a computer program is stored, and when the program is executed by a processor, the following steps are implemented: performing segmented sampling and noise reduction on the collected security information flow based on a preset time window to generate standardized information; constructing a spatio-temporal feature matrix, mapping the standardized information to the spatio-temporal feature matrix according to the area identifier and time stamp to form structured security data; performing regional correlation analysis on the structured security data, calculating cross-regional security indicators based on a security level threshold to generate 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.

[0082] In summary, the present invention improves the quality of source data through segmented sampling and noise reduction processing based on a time window, realizes the structured expression of multi-source data by using a spatio-temporal feature matrix, conducts security situation assessment based on regional correlation analysis, and completes data distribution and status monitoring between systems through a preset protocol, effectively solving technical problems such as poor data quality, weak system coordination, and inaccurate situation assessment in traditional security systems, realizing the standardized processing and intelligent integration of security information, and providing reliable technical support for integrated security management.

[0083] Embodiment 2

[0084] Referring to Table 1, this is the second embodiment of the present invention. This embodiment provides an information integration method for an integrated security management system. To verify the beneficial effects of the present invention, scientific demonstration is carried out through economic benefit calculation and simulation experiments.

[0085] Specifically, a large commercial complex is selected as the test site. The total construction area of this complex reaches 120,000 square meters, including three main functional areas: a shopping center, an office building, and an underground parking lot, and is divided into 12 security monitoring areas. 264 high-definition cameras, 156 access card readers, and 92 environmental sensors are deployed in the early stage of the experiment; the test period is 30 days, and the sampling time window is set to 1 hour.

[0086] Furthermore, preprocess the collected security information flow. Set the sampling frequency as 10 frames per second for the video stream, real-time collection for access control data, and once every 30 seconds for environmental data; use wavelet transform to denoise the original data to remove the noise caused by factors such as device jitter, light change, and electromagnetic interference; perform standardization processing through the Z-score method to ensure the comparability of different types of data.

[0087] Even further, construct a spatio-temporal feature matrix of 144×720 (12 regions × 30 days × 24 hours) to achieve structured mapping of data. During the matrix construction process, use the quadtree algorithm to hierarchically encode the monitoring areas and establish a data distribution buffer with a capacity of 1GB to ensure the real-time and accurate data mapping.

[0088] Specifically, calculate the regional correlation degree based on a one-hour sliding time window. Analyze the correlation relationship between any two regions through the Pearson correlation coefficient and construct a 12×12 regional correlation network. Use the DBSCAN spatial clustering algorithm to identify the associated region clusters, and set the clustering parameters of eps = 0.6 and minPts = 3.

[0089] Furthermore, determine the weights of the three core indicators through the analytic hierarchy process: the regional correlation intensity indicator (0.35), the security situation indicator (0.4), and the propagation risk indicator (0.25); set the security level thresholds: the first threshold is 0.65, and the second threshold is 0.85; distribute the integrated data to the three subsystems of video monitoring, access control, and environmental monitoring according to the unified data exchange protocol JSON format.

[0090] Furthermore, as shown in Table 1, the analysis of the security situation assessment data for six typical monitoring areas indicates that due to the dense population and complete security facilities in the commercial center of Area A, it has the highest security density value of 0.92 and a security situation index of 0.88, with a comprehensive score reaching 0.89. In contrast, due to the strong openness of the space and frequent personnel flow in the parking lot of Area D, the security density value drops to 0.78, and the risk propagation coefficient rises to 0.35, which is the highest among all areas.

[0091] Table 1 Experimental Data Table

[0092]

[0093] Specifically, in terms of system performance, the response time of all areas is controlled within 100 ms. Among them, the commercial center in Area A has the fastest response, only 78 ms. The regional correlation data shows that the correlation of the core functional areas (Areas A, B, and E) is generally higher than 0.85. This high correlation characteristic helps to achieve collaborative perception and linkage disposal of the security situation across regions. It can be clearly reflected from the tabular data that the system can achieve differentiated security management according to the characteristics of different functional areas and maintain a high system response efficiency.

[0094] 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 them. Although the present invention has been described in detail with reference to the preferred embodiments, those of ordinary skill in the art should understand that the technical solutions of the present invention can be modified or equivalently replaced without departing from the spirit and scope of the technical solutions of the present invention, and they should all be covered by the scope of the claims of the present invention.

Claims

1. An information integration method for a comprehensive security integrated management system, characterized in that: 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 area 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; The integrated data is distributed to each subsystem according to a 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 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 perform regional clustering on the regional association network, identifying regional clusters with close association relationships, calculating security situation indicators of regional clusters, and analyzing risk propagation 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 evaluation system, integrate regional correlation strength indicators, security situation indicators and communication risk indicators, and 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.

3. The information integration method of the comprehensive security integrated management system as claimed in claim 2, characterized in that: The specific formula of the security situation index is as follows: Among them, STI is the scalar value of security situation index, D a is the security density value of the ath area, λ is the time attenuation coefficient, t a is the time interval of the ath region, A is the total number of regions, B is the current security level score, C is the security level target value, and ε 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.

4. The information integration method of the comprehensive security integrated management system as claimed in claim 3, characterized in that: Constructing a spatiotemporal feature matrix, mapping the standardized information to the spatiotemporal feature matrix according to the area identifier and timestamp, and forming structured security data, including: 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 the row index of the spatiotemporal feature matrix according to the regional identifier, convert the regional identifier in the standardized information into the row number of the spatiotemporal feature matrix through the regional code parser, and use the quadtree partition method to generate hierarchical regional codes for the monitoring area; Assign the spatiotemporal feature matrix column index according to the timestamp, divide the time axis into equal intervals according to the system preset sampling period, correspond the timestamp in the standardized information to the sampling time point, and obtain the column number 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 sequence, 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, the data fusion method is used to merge and process them, and metadata tags are added to the time and space feature matrix to form structured security data.

5. The information integration method of the comprehensive security integrated management system as claimed in claim 4, characterized in that: The specific formula of the spatiotemporal feature matrix is ​​as follows: Among them, M is the spatiotemporal feature matrix, is a real number set indicating that the value range of the matrix elements is real numbers, R is the total number of region identifiers, Y is the length of the time series, d is the region identifier index, b is the time series index, and v db is the original normalized information value of region d at time b, w d is the spatial weight coefficient of the ith region.

6. The information integration method of the comprehensive security integrated management system as claimed in claim 5, characterized in that: Based on the preset time window, the collected security information stream is sampled and denoised in sections to generate standardized information, including: Configure sampling parameters according to security information, and divide 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 performing standardization processing on 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.

7. The information integration method of the comprehensive security integrated management system as claimed in claim 6, characterized in that: Also includes, The standardized data is scanned in segments and sequences, and the integrity test index value, continuity test index value and validity test index value are calculated. The specific formula is as follows: CI = (1-n / m) × 100 TI=max(T i+1 -T i ),i∈[1,n-1] VI=|X-μ| / σ Among them, CI is the integrity test index value, TI is the continuity test index value, VI is the validity test index value, n is the number of missing data points in the time window, m is the total number of data points in the time window, T i is the timestamp of the i-th data point, n is the number of data points in the time window, X is the value of the currently detected data point, μ is the mean of the data in the time window, and σ is the standard deviation of the data in the time window.

8. 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 7, characterized in that: Also includes, 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, used to construct a spatiotemporal feature matrix, map the standardized information to the spatiotemporal feature matrix according to the area identifier and the timestamp, and form structured security data; An analysis module, 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; The distribution module 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 the information integration.

9. 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 described in any one of claims 1 to 7 are implemented.

10. 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 described in any one of claims 1 to 7 are implemented.

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