Grid city safety comprehensive management and control system and method

Abstract

The invention provides a gridding city safety comprehensive management and control system and method. A team management module obtains management resource data of a plurality of responsible departments and preset grid units; the data acquisition module is used for acquiring urban safety associated data, and the safety associated data comprises traffic operation monitoring data, meteorological monitoring data, gridding case data and facility project risk monitoring data; the data analysis module integrates and analyzes the city safety associated data to obtain a data analysis result, and analyzes the management resource data to obtain a management resource analysis result; and the early warning module generates early warning information when an abnormal condition exists in the data analysis result, and sends the early warning information to corresponding responsible departments and business personnel for disposal according to the management resource analysis result. Refined and intelligent management of each region is realized, and the city safety management capability, accuracy and efficiency are greatly improved.

Description

Technical Field

[0001] The present invention relates to the technical field of data processing and urban safety management, and in particular to a grid-based urban safety integrated management and control system and method. Background Art

[0002] With the acceleration of urbanization, urban safety management faces unprecedented challenges. Traditional urban management methods, due to inherent limitations such as slow response and low efficiency, are no longer adapting to the rapidly changing demands of modern urban safety management. This is particularly true when it comes to responding to emergencies and troubleshooting daily safety hazards, where traditional methods are unable to provide timely and effective solutions.

[0003] Against this backdrop, grid management has emerged as an innovative urban management concept. Grid management essentially involves dividing urban areas into a number of grid cells according to specific rules. Each grid cell is assigned a dedicated manager or team responsible for all affairs within that area. This approach not only improves resource utilization efficiency but also enhances the sophistication of urban management and service quality. Through grid management, comprehensive coverage and dynamic monitoring of all urban areas are achieved, enabling rapid response and effective resolution of various urban safety issues. Summary of the Invention

[0004] Based on the above content, the present invention provides a grid-based urban safety comprehensive management and control system and method, which aims to solve the technical problems of low efficiency and slow response in urban safety management in the existing technology.

[0005] A grid-based integrated urban safety management and control system, wherein the city comprises a number of preset grid units, each of which is equipped with a management team, including:

[0006] Team management module, used to obtain management resource data of multiple responsible departments and preset grid units;

[0007] The data collection module is used to collect urban safety-related data, including traffic operation monitoring data, meteorological monitoring data, grid-based case data, and facility project risk monitoring data;

[0008] The data analysis module is connected to the data acquisition module and the team management module respectively, and is used to integrate and analyze the city security related data to obtain data analysis results, and to analyze the management resource data to obtain management resource analysis results;

[0009] The early warning module is connected to the data analysis module and is used to generate early warning information when there are abnormal situations in the data analysis results. The early warning information is sent to the corresponding responsible departments and business personnel for disposal based on the management resource analysis results.

[0010] Furthermore, when an abnormality exists in the data analysis results, the early warning module generates resource scheduling recommendation information based on the abnormality and the management resource analysis results, and fuses the abnormality and the resource scheduling recommendation information to form early warning information.

[0011] Furthermore, the management resource data includes human resource data, the human resource data includes basic information and real-time location data of grid personnel, and the management resource analysis result includes the basic information of the grid personnel and the real-time location distribution data;

[0012] The early warning module combines the grid unit where the abnormal situation is located in the data analysis results, the basic information of the grid personnel and the real-time location distribution data to form grid personnel recommendation information;

[0013] Resource scheduling recommendation information includes grid personnel recommendation information.

[0014] Furthermore, the system also includes an assessment module, which is connected to the data collection module and is used to perform performance assessment on predetermined areas of the city based on gridded case data to obtain assessment results of the predetermined areas.

[0015] Furthermore, the data analysis module is used to integrate urban security-related data based on big data technology and analyze the integrated security-related data based on artificial intelligence algorithms;

[0016] The system also includes:

[0017] The handling feedback module is connected to the early warning module and is used to obtain the handling feedback data associated with the early warning information after issuing the early warning information;

[0018] The platform optimization module is connected to the data analysis module and the disposal feedback module respectively, and is used to optimize and update the artificial intelligence algorithm based on the disposal feedback data associated with the early warning information.

[0019] Furthermore, the system also includes:

[0020] The result display module connects the data analysis module and the disposal feedback module, and is used to display the data analysis results and disposal feedback data in real time.

[0021] Furthermore, the traffic operation monitoring data includes road condition monitoring data on each pre-divided road section;

[0022] The data analysis module is used to analyze the road congestion situation based on the road condition monitoring data on each road section and obtain the road congestion analysis results.

[0023] Furthermore, the traffic operation monitoring data includes passenger flow monitoring data at each transportation hub;

[0024] The data analysis module is used to perform anomaly analysis on the passenger flow of the transportation hub based on the passenger flow monitoring data of the transportation hub in the same period of history, and obtain the abnormal analysis results of the passenger flow of the transportation hub.

[0025] Furthermore, the facility project risk monitoring data includes monitoring data for each facility and each engineering project;

[0026] The data analysis module is used to perform safety level analysis on facilities based on facility project risk monitoring data to obtain facility project safety level analysis results.

[0027] A grid-based integrated urban safety management and control method, using the aforementioned grid-based integrated urban safety management and control system, includes:

[0028] Step A1: Acquire management resource data for multiple responsible departments and pre-set grid units, as well as collect city safety-related data. Safety-related data includes traffic operation monitoring data, meteorological monitoring data, grid-based case data, and facility risk monitoring data.

[0029] Step A2: Integrate and analyze the city security related data to obtain data analysis results;

[0030] Step A3: When an abnormality is found in the data analysis results, an early warning message is generated, and the early warning message is sent to the corresponding responsible department and business personnel for handling according to the management resource data.

[0031] The beneficial technical effect of the present invention is that the present invention will uniformly connect various types of related data related to urban safety to the management and control system, and connect to the management resource data of grid units and responsible departments, integrate and analyze the data, and make the data analysis more in-depth and detailed. When an abnormality is found in the analysis, early warning information is generated according to the type of abnormality and sent to the corresponding one or more responsible departments, as well as the management team of the grid unit, so that the handling of abnormal situations can be completed with the help of the collaboration of various departments, and refined and intelligent management of each area can be achieved, which greatly improves the urban safety management capabilities, accuracy and efficiency. BRIEF DESCRIPTION OF THE DRAWINGS

[0032] Figure 1 This is a module diagram of a grid-based integrated urban safety management and control system according to the present invention;

[0033] Figure 2 This is a flowchart of the steps of a grid-based comprehensive urban safety management and control method of the present invention. DETAILED DESCRIPTION

[0034] The following will clearly and completely describe the technical solutions in the embodiments of the present invention in conjunction with the accompanying drawings. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without making any creative efforts shall fall within the scope of protection of the present invention.

[0035] It should be noted that, in the absence of conflict, the embodiments of the present invention and the features therein may be combined with each other.

[0036] The present invention will be further described below with reference to the accompanying drawings and specific embodiments, but they are not intended to limit the present invention.

[0037] See also Figure 1 The present invention also provides a grid-based integrated urban safety management and control system, wherein the city includes a number of preset grid units, and the preset grid units are equipped with management teams, including:

[0038] Team management module (1), used to obtain management resource data of multiple responsible departments and preset grid units;

[0039] Data collection module (2), used to collect urban safety-related data, including traffic operation monitoring data, meteorological monitoring data, grid case data and facility risk monitoring data;

[0040] The data analysis module (3) is connected to the data acquisition module (2) and the team management module (1) respectively, and is used to integrate and analyze the city security related data to obtain data analysis results, and to analyze the management resource data to obtain management resource analysis results;

[0041] The early warning module (4) is connected to the data analysis module (3) and is used to generate early warning information when there is an abnormality in the data analysis result, and send the early warning information to the corresponding responsible departments and business personnel for disposal according to the management resource analysis result.

[0042] Data Collection: Real-time data related to urban safety is collected through the Internet of Things (IoT), smart sensors, video surveillance equipment, and data exchange and sharing. The data analysis module utilizes big data and artificial intelligence technologies to integrate, process, and analyze the collected data to identify potential safety hazards and incidents.

[0043] The data analysis module (3) integrates multiple types of data for comprehensive analysis, and compared with the existing technology of analyzing a single type of data separately, it can obtain more objective and reliable data analysis results. For example, if analyzing the congestion situation of a road section, the warning information finally generated by the warning module not only considers the actual congestion of the road section, but also takes into account factors such as construction and weather, thereby obtaining a reliable warning information and sending it to the corresponding department for effective processing.

[0044] This invention adopts a grid management concept, dividing the city into several grid units. Each grid unit has a dedicated management team and responsible person responsible for security management and risk control within the grid unit. Through grid management, refined management and efficient response to urban security are achieved.

[0045] The present invention aims to solve the problems of slow response speed and low processing efficiency in existing urban safety management. It integrates and accesses various data related to urban safety, such as traffic operation monitoring data, meteorological monitoring data, grid case data and facility risk monitoring data. The data analysis module processes and analyzes the collected data to identify potential safety hazards and incidents. The present invention accesses the management resource data of responsible departments and preset grid units, realizes the coordinated scheduling of management resource data in a timely manner, and realizes rapid response and efficient processing of safety incidents in key urban areas.

[0046] It can be seen that the present invention accesses the management resource data of grid units and responsible departments, integrates and analyzes the data, and the data analysis is more in-depth and detailed. When an abnormality is found in the analysis, an early warning message is generated according to the type of abnormality and sent to the corresponding one or more responsible departments, as well as the management team of the grid unit, so that the handling of abnormal situations is completed with the help of the collaboration of various departments, and refined and intelligent management of each area is achieved, which greatly improves the city's safety management capabilities, accuracy and efficiency.

[0047] Furthermore, when an abnormality exists in the data analysis result, the early warning module (4) generates resource scheduling recommendation information based on the abnormality and the management resource analysis result, and fuses the abnormality and the resource scheduling recommendation information to form early warning information.

[0048] Each grid unit is equipped with an independent management team and grid personnel. There are differences in responsibilities between different government departments. Although the same responsible departments are in the same city, there are regional differences. The same abnormal situation may involve multiple responsible departments and grid units for collaborative processing. The comprehensive management platform of the present invention is connected to the management resource data. Through the analysis of the management resource data, according to the specific abnormal situation, the responsible departments and grid unit management teams that need to intervene are determined, and early warning information is issued to them. The early warning information includes resource scheduling recommendation information, which facilitates joint mobilization and collaboration between the responsible departments and the grid unit management teams, quickly makes decisions on abnormal situations and quickly handles them according to the decisions, improves the efficiency of handling abnormal situations, and reduces the occurrence of mutual shirking of responsibility between departments.

[0049] Furthermore, the management resource data includes human resource data, the human resource data includes basic information and real-time location data of grid personnel, and the management resource analysis result includes the basic information of the grid personnel and the real-time location distribution data;

[0050] The early warning module (4) combines the grid unit where the abnormal situation is located in the data analysis results, the basic information of the grid personnel and the real-time location distribution data to form grid personnel recommendation information;

[0051] Resource scheduling recommendation information includes grid personnel recommendation information.

[0052] Integrate resource data such as on-duty personnel in various areas of the city, surrounding grid supervisors, urban management law enforcement personnel and urban management law enforcement vehicles, and make timely corresponding arrangements to deal with emergencies.

[0053] By comprehensively considering the basic information and real-time location distribution data of the grid personnel of each grid unit, the responsible parts and grid personnel of the coordinated dispatch can call the nearest online grid personnel when facing abnormal situations that are particularly urgent. Even if the grid personnel do not belong to the management team of the grid unit where the site is located but belong to the management team of other grid units, they can also be urgently mobilized to arrive at the site for processing in time, eliminate safety hazards in time, improve the safety of the city, increase the flexibility of work arrangements, and improve handling efficiency.

[0054] Human resource data enables the system to know the current available human resource information such as the person in charge of the responsible department, the management team of the preset grid unit, managers, grid personnel, etc. in real time.

[0055] In addition, management resource data also includes material resource data, such as vehicle usage data. Vehicle usage data includes basic information and real-time location distribution of vehicles. Early warning information also includes vehicle recommendation information, which facilitates responsible departments and grid unit management teams to make calls based on the urgency of abnormal situations and other circumstances. In particular, in extremely emergency situations, nearby grid personnel and vehicles can be mobilized to ensure that abnormal situations are handled in a timely manner and urban safety hazards are eliminated in a timely manner.

[0056] The introduction of grid-based case data can eliminate cases that have already been filed, avoiding duplicate warnings and increasing the workload of responsible personnel. For example, if a public facility is damaged and a case has already been filed, without grid-based case data, this could lead to duplicate warnings.

[0057] In addition, the warning information also includes the urgency of the abnormal situation and auxiliary video data, and early warning reminders are provided through auxiliary video.

[0058] Furthermore, the system also includes an assessment module (5), which is connected to the data collection module (2) and is used to perform performance assessment on a predetermined area of the city based on the gridded case data to obtain assessment results of the predetermined area.

[0059] By analyzing grid-based case data and incorporating assessment indicators for regions and regional personnel, assessment performance becomes more objective.

[0060] The predetermined area may be a street, town or district.

[0061] By extracting urban grid-based case data and the video surveillance data associated with these grid-based cases, analysis can be conducted from multiple perspectives. For example, analysis can be conducted based on function, categorized as public safety, public management, and public services; statistical analysis can be conducted based on the level of urgency, categorized as emergency, sub-urgent, and general; and the case handling process, including discovery, filing, dispatch, disposal, verification, and closure, can be displayed along the case handling process, with case details presented dynamically by tracking the case handling process time and status, allowing managers to better understand the cases. The case closure rate for each street and town can be calculated, demonstrating the event handling capabilities of each street and town grid. Cases within each designated area are categorized and summarized according to their handling status, and assessments are conducted based on the number and proportion of overdue and urgent cases. Reminders can be issued by tracking the time and status of each case process, such as overdue reminders, to optimize and improve case handling.

[0062] Furthermore, the data analysis module (3) is used to integrate the city security-related data based on big data technology and analyze the integrated security-related data based on artificial intelligence algorithms;

[0063] The system also includes:

[0064] The handling feedback module (6) is connected to the warning module (4) and is used to obtain handling feedback data associated with the warning information after issuing the warning information;

[0065] The platform optimization module (7) is connected to the data analysis module (3) and the handling feedback module (6) respectively, and is used to optimize and update the artificial intelligence algorithm based on the handling feedback data associated with the warning information.

[0066] The system collects disposal results and traces the disposal process, making it easier for system managers to understand the case disposal process in real time and evaluate and optimize platform performance.

[0067] If the data analysis module detects a danger, but actual inspection shows no danger, it means that the performance of the data analysis module needs to be optimized. Optimization should be performed based on the feedback results to make the analysis results of the data analysis module more reliable.

[0068] Furthermore, the system also includes:

[0069] The result display module (8) is connected to the data analysis module (3) and the treatment feedback module (6) and is used to display the data analysis results and treatment feedback data in real time.

[0070] The result display module (8) also displays the results of the management resource analysis, such as the real-time location data and basic information of grid personnel, which can be classified and statistically displayed according to districts, streets, and grids. The distribution of grid personnel is displayed using icons in the map area, and basic information can be searched by clicking. The basic information of grid personnel includes name, department, district, street, grid, contact information, status, etc. The status of grid personnel, for example, is whether they are online or offline. When recommending grid personnel, priority can be given to recommending online grid personnel.

[0071] In addition, the management resource analysis results also include the basic information of the main leaders and on-duty personnel of each responsible department, such as contact information, department and position. When the early warning information is pushed to multiple responsible departments, the basic information of the main leaders and on-duty personnel can be recommended to facilitate the responsible departments and grid units to understand the contact information of the departments that need to cooperate, and facilitate linkage consultation and call.

[0072] For the data analysis results of the gridded case data, the data analysis module can classify and summarize the cases in each key area according to the urgency of the case and the case function. The result display module (8) displays it. The urgency is divided into three levels: emergency, sub-urgent and general. The case function can be statistically analyzed and displayed according to the three major functions of public safety, public management and public services. The data analysis results also include the analysis results of the case type. The result display module (8) performs statistical display of the case type. The case types include seven types: sanitation and urban appearance, facility management, emergencies, street order, market supervision, comprehensive management of residential areas and others. The case types of each street are statistically displayed.

[0073] For the data analysis results of the grid case data, the data analysis module performs statistical analysis based on the street and town to which the case belongs, and the result display module (8) displays the distribution of the disposal according to the processing progress process (including discovery, case filing, dispatch, disposal, verification, and case closure). For the data analysis results of the grid case data, the data analysis module performs statistical analysis on the component data categories and subcategories according to the region, and the result display module (8) displays the distribution in the map area, and clicks to display detailed information such as the category, subcategory code, affiliated department, component location coordinates, grid unit, village committee, street and town, etc. The component categories include, for example, public facilities, road traffic, sanitation and environmental protection, landscaping, and other facilities. Each category is subdivided into subcategories under each category.

[0074] The result display module (8) can perform statistical display from multiple categories, multiple dimensions and multiple angles based on the data analysis results, so as to realize the understanding of the comprehensive governance effect of urban safety management.

[0075] The management resource analysis results include, for example, law enforcement personnel information and real-time distribution, law enforcement vehicle information and real-time distribution.

[0076] Furthermore, the traffic operation monitoring data includes road condition monitoring data on each pre-divided road section;

[0077] The data analysis module (3) is used to analyze the road congestion situation based on the road condition monitoring data on each road section, and obtain the road congestion analysis results.

[0078] The warning module generates a warning message of road congestion when the road congestion analysis result shows that the road is congested.

[0079] For example, ground roads and expressways are divided into sections according to intersections and ramps, and sections are used as monitoring units to monitor, analyze and issue early warnings on road conditions. When a section is congested for a long time, or large-scale congestion occurs in consecutive sections, early warning information is generated based on other analysis results such as weather and passenger flow, and relevant management personnel are notified to evacuate. After the situation is handled, the handling situation is fed back through real-time display.

[0080] In addition, the traffic operation monitoring data also includes parking lot monitoring data within each grid unit. The data analysis module (3) performs a remaining parking space analysis based on the parking lot monitoring data to obtain a remaining parking space analysis result. When the remaining parking space analysis result is that the remaining parking space is lower than the parking space threshold, the early warning module combines the congestion analysis result of the road section around the parking lot to form an early warning information, and dispatches personnel to divert and evacuate vehicles and guide vehicles to park in other parking lots.

[0081] Furthermore, the traffic operation monitoring data includes passenger flow monitoring data at each transportation hub;

[0082] The data analysis module (3) is used to perform an abnormal analysis on the passenger flow of the transportation hub based on the passenger flow monitoring data of the transportation hub in the same period of history, and obtain the abnormal analysis results of the passenger flow of the transportation hub.

[0083] Transportation hubs such as airports, subway stations, railway stations, rail transit stations, bus stations, etc. By monitoring passenger flow at transportation hubs within each grid unit and comparing it with the same period in history, early warning of abnormal passenger flow is issued, and after notifying the relevant management department for on-site disposal, the passenger flow is displayed in real time and feedback on the disposal status is provided;

[0084] In addition, the traffic operation monitoring data also includes the accumulation monitoring data of shared bicycles. The data analysis module (3) analyzes the accumulation situation of the shared bicycle accumulation monitoring data to obtain the accumulation analysis results of the shared bicycles. When the accumulation analysis results of the shared bicycles indicate that the number of shared bicycles exceeds the accumulation threshold, the early warning module generates a dispatch early warning information for the shared bicycles in combination with the abnormal passenger flow analysis results of each transportation hub. The dispatch early warning information notifies the dispatcher to dispatch the vehicle. For example, if the outbound passenger flow of a transportation hub is large but the number of shared bicycles is small, and the outbound passenger flow of another transportation hub is small but the number of shared bicycles is large, the dispatcher is notified to dispatch the vehicle.

[0085] Specifically, by further dividing the grid units into 100-meter grids, the accumulation of shared bicycles within the 100-meter grids is monitored. When the accumulation exceeds the limit, the dispatcher is notified to dispatch the vehicles based on the rail transit passenger flow in and out data, and the results of the disposal are fed back according to the heat map.

[0086] Furthermore, facility project risk monitoring data includes monitoring data of various facilities and engineering projects;

[0087] The data analysis module (3) is used to perform safety level analysis on the facility project based on the facility project risk monitoring data, and obtain the facility project safety level analysis results.

[0088] Facility project risk monitoring data, such as engineering project monitoring data, monitors the safety of different engineering projects within each grid unit, and uses auxiliary cameras for video surveillance, providing early warning information to prompt personnel to conduct on-site inspections and take appropriate measures. The health of glass curtain walls within the monitoring area and the status of repairs and rectification of hidden dangers are also monitored.

[0089] The result display module (8) displays the results of the facility safety level analysis. For example, if the facility is a glass curtain wall, if the analysis result shows that the glass curtain wall does not have any danger or potential danger, it indicates a safe and controllable level. If the analysis result shows that the glass curtain wall has general danger or general potential danger, it indicates a yellow warning level. If the analysis result shows that the glass curtain wall has serious danger or serious potential danger, it indicates a red warning level. For example, if the facility is a deep foundation pit, the safety level analysis results are divided into three levels: safe and controllable, yellow warning level, and red warning level. For example, for dust noise in engineering projects: a risk analysis is conducted on the noise and particulate matter status generated in the project, and the safety level analysis results are divided into three levels: normal, warning, and exceeding the standard. For risk analysis of construction site projects, the safety level analysis results are divided into three categories: safe and controllable, yellow warning level, and red warning level.

[0090] Furthermore, meteorological monitoring data includes:

[0091] The data analysis module analyzes meteorological monitoring data and provides early warning information such as weather disaster levels and defense guidelines to help relevant responsible departments and grid unit management teams guide the evacuation of relevant personnel on site.

[0092] The data analysis module accesses the weather data to analyze the results of meteorological monitoring data, and the result display module (8) displays them in real time:

[0093] Current temperature, humidity, rainfall, wind speed, air pressure, visibility, and 12-hour weather trends are displayed in a graph;

[0094] Information on disasters such as typhoons, heavy fog, and cold waves;

[0095] Air quality data, real-time display of the current AQI index and 24-hour quality trends;

[0096] Detailed information on major pollutants, including PM2.5, PM10, nitrogen dioxide, carbon monoxide, etc.

[0097] See also Figure 2The present invention also provides a grid-based city safety integrated management and control method, using the aforementioned grid-based city safety integrated management and control system, including:

[0098] Step A1: Acquire management resource data for multiple responsible departments and pre-set grid units, as well as collect city safety-related data. Safety-related data includes traffic operation monitoring data, meteorological monitoring data, grid-based case data, and facility risk monitoring data.

[0099] Step A2: Integrate and analyze the city security related data to obtain data analysis results;

[0100] Step A3: When an abnormality is found in the data analysis results, an early warning message is generated, and the early warning message is sent to the corresponding responsible department and business personnel for handling according to the management resource data.

[0101] Real-time data related to urban safety is collected through the Internet of Things (IoT), smart sensors, video surveillance equipment, and data exchange and sharing. Leveraging big data and artificial intelligence technologies, the collected data is integrated, processed, and analyzed to identify potential safety hazards and incidents. This integrated analysis of multiple data types yields more objective and reliable data analysis results than existing technologies that analyze individual data types separately. For example, when analyzing road congestion, the warning module generates warning information that not only considers the actual congestion on the road section but also factors such as construction and weather. This results in a reliable warning message that is sent to the appropriate departments for effective processing.

[0102] In step A3, when an abnormality exists in the data analysis result, resource scheduling recommendation information is generated based on the abnormality and the management resource analysis result, and the abnormality and the resource scheduling recommendation information are integrated to form early warning information.

[0103] Each grid unit is equipped with an independent management team and grid personnel. There are differences in responsibilities between different government departments. Although the same responsible departments are in the same city, there are regional differences. The same abnormal situation may involve multiple responsible departments and grid units for collaborative processing. The comprehensive management platform of the present invention is connected to the management resource data. Through the analysis of the management resource data, according to the specific abnormal situation, the responsible departments and grid unit management teams that need to intervene are determined, and early warning information is issued to them. The early warning information includes resource scheduling recommendation information, which facilitates joint mobilization and collaboration between the responsible departments and the grid unit management teams, quickly makes decisions on abnormal situations and quickly handles them according to the decisions, improves the efficiency of handling abnormal situations, and reduces the occurrence of mutual shirking of responsibility between departments.

[0104] Furthermore, the management resource data includes human resource data, the human resource data includes basic information and real-time location data of grid personnel, and the management resource analysis results include the basic information of the grid personnel and the real-time location distribution data; grid personnel recommendation information is formed by combining the grid unit where the abnormal situation in the data analysis results is located, the basic information of the grid personnel, and the real-time location distribution data;

[0105] Resource scheduling recommendation information includes grid personnel recommendation information.

[0106] Integrate resource data such as on-duty personnel in various areas of the city, surrounding grid supervisors, urban management law enforcement personnel and urban management law enforcement vehicles, and make timely corresponding arrangements to deal with emergencies.

[0107] By comprehensively considering the basic information and real-time location distribution data of the grid personnel of each grid unit, the responsible parts and grid personnel of the coordinated dispatch can call the nearest online grid personnel when facing abnormal situations that are particularly urgent. Even if the grid personnel do not belong to the management team of the grid unit where the site is located but belong to the management team of other grid units, they can also be urgently mobilized to arrive at the site for processing in time, eliminate safety hazards in time, improve the safety of the city, increase the flexibility of work arrangements, and improve handling efficiency.

[0108] Human resource data enables the system to know the current available human resource information such as the person in charge of the responsible department, the management team of the preset grid unit, managers, grid personnel, etc. in real time.

[0109] In addition, management resource data also includes material resource data, such as vehicle usage data. Vehicle usage data includes basic information and real-time location distribution of vehicles. Early warning information also includes vehicle recommendation information, which facilitates responsible departments and grid unit management teams to make calls based on the urgency of abnormal situations and other circumstances. In particular, in extremely emergency situations, nearby grid personnel and vehicles can be mobilized to ensure that abnormal situations are handled in a timely manner and urban safety hazards are eliminated in a timely manner.

[0110] The introduction of grid-based case data can eliminate cases that have already been filed, avoiding duplicate warnings and increasing the workload of responsible personnel. For example, if a public facility is damaged and a case has already been filed, without grid-based case data, this could lead to duplicate warnings.

[0111] This invention introduces multi-data fusion technology, injecting new vitality into grid management. Multi-data fusion can integrate data resources from different channels and different types, such as video surveillance data, traffic operation monitoring data, component facilities and meteorological environment monitoring data, etc. Through advanced algorithms and technical means, it can achieve deep data mining, correlation analysis and intelligent early warning. This not only enhances the comprehensiveness and real-time nature of urban safety management, but also enables management departments to more accurately grasp the dynamic changes in urban safety and promptly discover and deal with potential safety hazards. Grid management combined with multi-data fusion not only improves the efficiency and accuracy of urban safety management, but also enhances its predictability and response capabilities, providing a strong guarantee for the safe and stable development of modern cities.

[0112] The above are only preferred embodiments of the present invention and do not limit the implementation mode and protection scope of the present invention. For those skilled in the art, it should be aware that all solutions obtained by equivalent substitutions and obvious changes made using the description and illustrations of the present invention should be included in the protection scope of the present invention.

Claims

1. A grid-based integrated urban safety management and control system, wherein the city comprises a number of preset grid units, each of which is provided with a management team, characterized in that: include: A team management module, used to obtain management resource data of multiple responsible departments and the preset grid units; A data collection module is used to collect urban safety-related data, including traffic operation monitoring data, meteorological monitoring data, grid case data, and facility project risk monitoring data; a data analysis module, connected to the data acquisition module and the team management module, respectively, for integrating and analyzing the city security-related data to obtain data analysis results, and analyzing the management resource data to obtain management resource analysis results; The early warning module is connected to the data analysis module and is used to generate early warning information when there are abnormal situations in the data analysis results, and send the early warning information to the corresponding responsible departments and business personnel for disposal according to the management resource analysis results.

2. A grid-based urban safety integrated management and control system according to claim 1, characterized in that: When an abnormality exists in the data analysis result, the early warning module generates resource scheduling recommendation information based on the abnormality and the management resource analysis result, and fuses the abnormality and the resource scheduling recommendation information to form the early warning information.

3. A grid-based urban safety integrated management and control system as claimed in claim 2, characterized in that: The management resource data includes human resource data, the human resource data includes basic information and real-time location data of grid personnel, and the management resource analysis results include the basic information of the grid personnel and the real-time location distribution data; The early warning module combines the grid unit where the abnormal situation in the data analysis result is located, the basic information of the grid personnel and the real-time location distribution data to form grid personnel recommendation information; The resource scheduling recommendation information includes the grid personnel recommendation information.

4. A grid-based urban safety integrated management and control system according to claim 1, characterized in that: The system further includes an assessment module, which is connected to the data acquisition module and is configured to perform a performance assessment on a predetermined area of the city based on the gridded case data to obtain an assessment result for the predetermined area.

5. A grid-based urban safety integrated management and control system as claimed in claim 1, characterized in that: The data analysis module is used to integrate the city security-related data based on big data technology and analyze the integrated security-related data based on artificial intelligence algorithms; The system further comprises: a handling feedback module, connected to the warning module, for obtaining handling feedback data associated with the warning information after issuing the warning information; The platform optimization module is connected to the data analysis module and the handling feedback module respectively, and is used to optimize and update the artificial intelligence algorithm based on the handling feedback data associated with the early warning information.

6. A grid-based urban safety integrated management and control system as claimed in claim 5, characterized in that: The system further comprises: The result display module is connected to the data analysis module and the treatment feedback module, and is used to display the data analysis results and the treatment feedback data in real time.

7. A grid-based urban safety integrated management and control system as claimed in claim 1, characterized in that: The traffic operation monitoring data includes road condition monitoring data on each pre-divided road section; The data analysis module is used to analyze the road congestion situation based on the road condition monitoring data on each road section to obtain the road congestion analysis results.

8. A grid-based urban safety integrated management and control system according to claim 1, characterized in that: The traffic operation monitoring data includes passenger flow monitoring data of each transportation hub; The data analysis module is used to perform an abnormality analysis on the passenger flow of the transportation hub based on the passenger flow monitoring data of the transportation hub in the same historical period, and obtain an abnormality analysis result of the passenger flow of the transportation hub.

9. A grid-based urban safety integrated management and control system according to claim 1, characterized in that: The facility project risk monitoring data includes monitoring data of various facilities and engineering projects; The data analysis module is used to perform safety level analysis on the facility based on the facility project risk monitoring data to obtain a facility project safety level analysis result.

10. A grid-based integrated urban safety management method, characterized in that: A grid-based urban safety integrated management and control system according to any one of claims 1 to 9 is used, comprising: Step A1: Acquire management resource data of multiple responsible departments and the preset grid units, and collect city security-related data, including traffic operation monitoring data, meteorological monitoring data, grid-based case data, and facility risk monitoring data; Step A2: integrating and analyzing the city security related data to obtain data analysis results; Step A3: When an abnormality exists in the data analysis result, an early warning message is generated, and the early warning message is sent to the corresponding responsible department and business personnel for processing according to the management resource data.

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