Urban construction intelligent monitoring system integrating geographic information and Internet of Things technology

Abstract

The invention discloses an urban construction intelligent monitoring system integrating geographic information and the Internet of Things technology, and belongs to the technical field of urban construction. In order to solve the problems that response to urban problems is lagged and development imbalance among urban areas is difficult to effectively reveal and solve, environment monitoring and infrastructure state evaluation are fused, the intelligent degree, real-time monitoring and quick response of urban management are remarkably improved, the processing speed of the urban problems is effectively improved, and the urban management system is suitable for urban management. The urban area is comprehensively evaluated through the evaluation index system, meanwhile, policy making is more refined through the area grading function, data support is provided for resource allocation, the timeliness of information is kept through continuous data updating, and the evaluation result is combined with a G IS system, so that the system is more efficient and reliable. The problem area and the dominant area are visually displayed, the balanced development of a city is promoted, and the overall living environment quality is improved.

Description

Technical Field

[0001] The present invention relates to the technical field of urban construction, and particularly to an intelligent monitoring system for urban construction that integrates geographic information and Internet of Things technology. Background Art

[0002] Currently, with the development of urbanization, problems such as traffic congestion, environmental pollution, resource shortage, and decline in the quality of life of urban residents exist in most cities, and these problems will affect the development process of cities. During the construction and development of cities, it is necessary to monitor the urban construction situation in real time.

[0003] However, the following problems still exist in actual operations:

[0004] In traditional urban management systems, the response to urban problems is often not fast enough, resulting in lagging problem handling. The previous urban assessment systems are not comprehensive enough to cover multiple dimensions of the environment and infrastructure, and it is difficult to effectively reveal and solve the problem of uneven development among urban regions. Summary of the Invention

[0005] The purpose of the present invention is to provide an intelligent monitoring system for urban construction that integrates geographic information and Internet of Things technology to solve the problems mentioned in the above background art.

[0006] To achieve the above purpose, the present invention provides the following technical solutions: An intelligent monitoring system for urban construction that integrates geographic information and Internet of Things technology, including:

[0007] A geographic information zoning module, used for:

[0008] Importing urban map data, where the urban map data includes road, building, and water body information, dividing the monitoring area according to administrative division, functional area, and environmental characteristic factors, storing the boundary, name, and coding information of each monitoring area, and providing a spatial index for subsequent modules;

[0009] An Internet of Things device management module, used for:

[0010] Managing the connection status and data acquisition frequency of sensors and cameras deployed in different monitoring areas;

[0011] A data acquisition module, used for:

[0012] Interacting with sensors and cameras deployed in key urban areas based on the Internet of Things, real-time collecting environmental data and infrastructure status data in key urban areas, and transmitting the collected data to the data center through a wireless network;

[0013] An intelligent evaluation module, used for:

[0014] Based on environmental data and infrastructure status data, construct an evaluation index system, calculate the scores of various indicators for different monitoring areas based on the evaluation index system, and comprehensively evaluate each monitoring area by integrating the scores of various indicators;

[0015] A regional grading module, configured to:

[0016] According to the intelligent evaluation results, divide the monitoring areas into different levels, set the grading criteria, compare the evaluation results of each area with the grading criteria to determine the level of each area, and update the regional attributes and level information in the GIS system in real time;

[0017] A decision-making and early warning module, configured to:

[0018] According to the levels of the monitoring areas, preset different decision-making recommendation schemes. When data anomalies are detected, trigger an early warning mechanism and send decision-making recommendations and early warning information to the staff;

[0019] A user interaction module, configured to:

[0020] Generate an interaction interface and a visualization display platform to display the real-time data, evaluation results, grading, and decision-making recommendation information of each monitoring area.

[0021] Furthermore, in the geographic information zoning module, the functional areas include industrial areas, residential areas, and commercial areas, and the environmental characteristics include near pollution sources and green space distribution.

[0022] Furthermore, in the data acquisition module, the sensors include temperature sensors, humidity sensors, noise sensors, air quality sensors, and water quality sensors;

[0023] The environmental data includes temperature, humidity, noise intensity, air quality, and water quality;

[0024] The infrastructure status data includes traffic flow data, population density data, parking conditions data, infrastructure damage conditions, public safety data, building status data, environmental sanitation data, greening situation data, water area conditions data, and lighting data.

[0025] Furthermore, the intelligent evaluation module includes:

[0026] An environmental quality evaluation unit, configured to:

[0027] Obtain real-time environmental data from the data acquisition module, convert the original data of different sensors into a unified scoring standard index, and calculate the environmental quality comprehensive index based on different environmental index indices. Among them, the environmental quality comprehensive index is obtained through the following formula:

[0028]

[0029] Among them, i represents the monitoring area number, and Q i represents the comprehensive environmental quality index of the monitoring area numbered i, j represents the environmental indicator number, and w j represents the weight of the environmental indicator numbered j, and q j represents the standardized environmental indicator index of the environmental indicator numbered j;

[0030] The facility status evaluation unit is used for:

[0031] Obtain the infrastructure status data from the data acquisition module, convert various infrastructure status data into a unified scoring standard index, and calculate the comprehensive infrastructure status index based on different infrastructure status indicator indexes. Among them, the comprehensive infrastructure status index is obtained through the following formula:

[0032]

[0033] Among them, i represents the monitoring area number, and F i represents the comprehensive infrastructure status index of the monitoring area numbered i, k represents the infrastructure indicator number, and v k represents the weight of the infrastructure indicator numbered k, and f k represents the standardized infrastructure status indicator index of the monitoring area numbered i.

[0034] Furthermore, the intelligent evaluation module further includes:

[0035] The comprehensive evaluation unit is used for:

[0036] Combining the evaluation results of the comprehensive environmental quality index and the comprehensive infrastructure status index, calculate the weighted comprehensive index of each monitoring area and comprehensively evaluate each monitoring area. Among them, the weighted comprehensive index is obtained through the following formula:

[0037] B i =α×Q i +β×F i

[0038] Among them, B i represents the weighted comprehensive index of the monitoring area numbered i, Q i represents the comprehensive environmental quality index of the monitoring area numbered i, α represents the weight coefficient of the comprehensive environmental quality index, and F i represents the comprehensive infrastructure status index of the monitoring area numbered i, and β represents the weight coefficient of the comprehensive infrastructure status index.

[0039] Furthermore, the regional level division module includes:

[0040] A standard setting unit for:

[0041] Obtain historical data of the comprehensive environmental quality index, the comprehensive infrastructure status index, and the weighted comprehensive index, determine the distribution range of each index, and set the first determination threshold and the second determination threshold;

[0042] Set regional grades based on the first determination threshold and the second determination threshold, where the regional grades include Grade A, Grade B, and Grade C;

[0043] A grade determination unit for:

[0044] Perform regional grade classification on different monitoring areas based on the first determination threshold and the second determination threshold;

[0045] When the weighted comprehensive index is greater than the first determination threshold, determine that the overall urban construction level of the monitoring area is excellent, and classify the monitoring area as Grade A;

[0046] When the weighted comprehensive index is less than the first determination threshold and greater than the second determination threshold, determine that the overall urban construction level of the monitoring area is good, and classify the monitoring area as Grade B;

[0047] When the weighted comprehensive index is less than the second determination threshold, determine that the overall urban construction level of the monitoring area needs to be improved, and classify the monitoring area as Grade C;

[0048] Store the determination results of each monitoring area and associate them with the regional attributes in the GIS system.

[0049] Furthermore, the regional grade classification module further includes:

[0050] A real-time update unit for:

[0051] Monitor the output changes of the intelligent evaluation module, and trigger the update process when a new comprehensive index is detected;

[0052] After the intelligent evaluation module updates the comprehensive environmental quality index, the comprehensive infrastructure status index, and the weighted comprehensive index of the monitoring area each time, automatically call the grade determination unit to re-determine the regional grade based on the new comprehensive index, and real-time update the regional attributes and grade information in the GIS system;

[0053] A report generation unit for:

[0054] Obtain the latest regional grade data from the GIS system and the grade determination unit;

[0055] According to the preset report template, integrate the data to compile a grade classification report, and the report content includes the grade distribution map, grade statistical data, and regional grade change trend of each monitoring area.

[0056] Furthermore, the decision warning module includes:

[0057] A rule setting unit for:

[0058] Setting the warning thresholds for each monitoring index, setting different warning levels based on the warning thresholds, and presetting the urgency levels and decision recommendation schemes corresponding to each level;

[0059] A warning trigger unit for:

[0060] Listening to the outputs of the intelligent evaluation module and the data acquisition module, obtaining the data of the monitoring area in real time, comparing the real-time data with the warning thresholds in the warning rules to determine whether a warning needs to be triggered. When the data reaches or exceeds the warning threshold, triggering the warning mechanism and invoking the decision recommendation unit;

[0061] A decision recommendation unit for:

[0062] According to the warning level and the monitoring area information provided by the warning trigger unit, matching the preset decision recommendation scheme, generating a decision recommendation scheme according to the matching result. The decision recommendation scheme includes countermeasures, responsible departments, and processing time limits, and sending the decision recommendation scheme to the staff through SMS, email, and APP push methods.

[0063] Furthermore, the decision warning module further includes:

[0064] A record tracking unit for:

[0065] When a warning is triggered, recording the time, level, trigger conditions, and decision recommendation scheme information of the warning, and tracking the processing process of the warning. The processing process includes processing personnel, processing time, and processing results.

[0066] Furthermore, the user interaction module includes:

[0067] An interactive query unit for:

[0068] Providing an interaction interface between the user and the system, and the interaction interface is used to query the real-time data, historical data, evaluation results, grade divisions, and decision recommendation information of each monitoring area;

[0069] Displaying the data in the form of charts, tables, map views, etc. on the front-end interface, marking the positions, boundaries, and grade information of each monitoring area on the map, and differentiating different grades by colors;

[0070] A visualization display unit for:

[0071] Generate and configure a visualization display platform, and view the real-time data, evaluation results, and grading information of each monitoring area based on the visualization display platform.

[0072] Compared with the prior art, the beneficial effects of the present invention are as follows:

[0073] 1. By real-time monitoring the environmental data and infrastructure status data of key urban areas, the system of the present invention can quickly respond to various problems in the city, thereby improving the efficiency and response speed of urban management. By constructing an evaluation index system, an objective and comprehensive evaluation of each monitoring area is carried out. At the same time, the regional grading module further divides the monitoring areas into different grades, which helps decision-makers formulate corresponding solutions according to the characteristics and problems of different regions. Through real-time data collection and intelligent evaluation of the Internet of Things, the system can accurately understand the distribution and usage of urban resources, providing strong support for the optimal allocation of resources. By improving the urban environment, enhancing the operation efficiency of infrastructure, etc., the system can significantly improve the quality of life of residents.

[0074] 2. By defining a unified scoring standard index, the intelligent evaluation module of the present invention can standardize the data from different sensors and cameras, calculate the comprehensive environmental quality index and the comprehensive infrastructure status index respectively, and further integrate these single-dimensional evaluation results to form a weighted comprehensive index, which can more comprehensively reflect the actual situation of the monitoring area. Problem areas can be quickly identified based on the evaluation results, and targeted solutions can be formulated, providing more comprehensive information support for decision-makers. The formulas and weight coefficients in the intelligent evaluation module can be adjusted and optimized according to actual needs, and can adapt to the changing urban environment and monitoring requirements.

[0075] 3. By real-time listening to the output changes of the intelligent evaluation module and automatically triggering the update process when a new comprehensive index is detected, the timeliness and accuracy of the regional grade information are ensured, which helps decision-makers understand the construction level and change trends of each urban area in a timely manner. The determination results are stored and associated with the regional attributes in the GIS system, so that the grade information can be intuitively displayed in the form of a map in the GIS system, facilitating decision-makers to quickly identify problem areas and advantageous areas. Further integrating the grade information into a report reveals the development differences and imbalances among different urban areas, which helps to promote the government and all sectors of society to pay attention to and strive to solve the problem of unbalanced development, and promote the balanced development of each urban area. BRIEF DESCRIPTION OF THE DRAWINGS

[0076] Figure 1 It is a schematic diagram of the modules of the intelligent monitoring system for urban construction of the present invention. DETAILED DESCRIPTION OF THE INVENTION

[0077] Next, the technical solutions in the embodiments of the present invention will be clearly and completely described in conjunction with the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only a part of the embodiments of the present invention, rather than all the embodiments. All other embodiments obtained by those of ordinary skill in the art based on the embodiments of the present invention without creative efforts shall fall within the protection scope of the present invention.

[0078] To solve the technical problems in the traditional urban management system that the response to urban problems is often not rapid enough, resulting in lagging problem handling, and the previous urban assessment system is not comprehensive enough to cover multiple dimensions of the environment and infrastructure, and it is difficult to effectively reveal and solve the problem of unbalanced development among urban regions, please refer to Figure 1 The present invention provides the following technical solutions:

[0079] An intelligent monitoring system for urban construction integrating geographic information and Internet of Things technology, including:

[0080] A geographic information zoning module, used for:

[0081] Importing urban map data, which includes road, building, and water body information, dividing the monitoring area according to administrative division, functional area, and environmental characteristic factors. The functional areas include industrial areas, residential areas, and commercial areas, and the environmental characteristics include areas near pollution sources and green space distribution. Storing the boundary, name, and coding information of each monitoring area to provide a spatial index for subsequent modules;

[0082] An Internet of Things device management module, used for:

[0083] Managing the connection status and data acquisition frequency of sensors and cameras deployed in different monitoring areas;

[0084] A data acquisition module, used for:

[0085] Interacting with sensors and cameras deployed in key urban areas based on the Internet of Things to collect environmental data and infrastructure status data in real time. The sensors include temperature sensors, humidity sensors, noise sensors, air quality sensors, and water quality sensors. The environmental data includes temperature, humidity, noise intensity, air quality, and water quality. The infrastructure status data includes traffic flow data, crowd density data, parking conditions data, infrastructure damage conditions, public safety data, building status data, environmental sanitation data, greening situation data, water area conditions data, and lighting data. Transmitting the collected data to the data center through a wireless network;

[0086] An intelligent evaluation module, used for:

[0087] Based on environmental data and infrastructure status data, an evaluation index system is constructed. Based on the evaluation index system, the scores of various indicators in different monitoring areas are calculated. By synthesizing the scores of various indicators, an overall evaluation of each monitoring area is carried out;

[0088] A regional grading module, which is used for:

[0089] According to the intelligent evaluation results, the monitoring areas are divided into different levels. The grading criteria are set, and the evaluation results of each area are compared with the grading criteria to determine the level of each area, and the regional attributes and level information in the GIS system are updated in real time;

[0090] A decision-making and early warning module, which is used for:

[0091] According to the levels of the monitoring areas, different decision-making recommendation schemes are preset. When data anomalies are detected, the early warning mechanism is triggered to send decision-making recommendations and early warning information to the staff;

[0092] A user interaction module, which is used for:

[0093] Generate an interactive interface and a visualization display platform to display the real-time data, evaluation results, grading, and decision-making recommendation information of each monitoring area.

[0094] In the above embodiment, by real-time monitoring of the environmental data and infrastructure status data of key urban areas, the system can quickly respond to various problems in the city, such as environmental pollution, traffic congestion, public safety, etc., thereby improving the efficiency and response speed of urban management. By constructing an evaluation index system, an objective and comprehensive evaluation of each monitoring area is carried out. At the same time, the regional grading module further divides the monitoring areas into different levels, which helps decision-makers formulate corresponding solutions according to the characteristics and problems of different areas.

[0095] In the above embodiment, through real-time data collection and intelligent evaluation, the system can accurately understand the distribution and usage of urban resources, providing strong support for the optimal allocation of resources. For example, according to the population density and parking status data, parking lots and traffic routes can be reasonably planned; according to the damage situation of infrastructure, repairs and renovations can be carried out in a timely manner. By improving the urban environment, enhancing the operation efficiency of infrastructure and other measures, the system can significantly improve the quality of life of residents. For example, air quality monitoring and control can reduce air pollution, noise monitoring and control can reduce noise pollution, and traffic flow monitoring and optimization can alleviate traffic congestion, etc.

[0096] In the above embodiments, the system comprehensively considers various factors such as the environment, economy, and society, and through intelligent management and scientific decision-making, helps to promote the sustainable development of the city. For example, monitoring of greening and water area conditions helps to protect the urban ecological environment, and monitoring of public safety data helps to improve the city's safety prevention capabilities, etc.

[0097] Intelligent evaluation module, including:

[0098] Environmental quality evaluation unit, used for:

[0099] Obtain real-time environmental data from the data acquisition module, convert the original data of different sensors into a unified scoring standard index, and calculate the comprehensive environmental quality index based on different environmental index indices. Among them, the comprehensive environmental quality index is obtained through the following formula:

[0100]

[0101] Among them, i represents the monitoring area number, Q i represents the comprehensive environmental quality index of the monitoring area numbered i, j represents the environmental index number, w j represents the weight of the environmental index numbered j, q j represents the standardized environmental index index of the environmental index numbered j;

[0102] Facility status evaluation unit, used for:

[0103] Obtain infrastructure status data from the data acquisition module, convert various infrastructure status data into a unified scoring standard index, and calculate the comprehensive infrastructure status index based on different infrastructure status index indices. Among them, the comprehensive infrastructure status index is obtained through the following formula:

[0104]

[0105] Among them, i represents the monitoring area number, F i represents the comprehensive infrastructure status index of the monitoring area numbered i, k represents the infrastructure index number, v k represents the weight of the infrastructure index numbered k, f k represents the standardized infrastructure status index of the monitoring area numbered i;

[0106] Comprehensive evaluation unit, used for:

[0107] Combining the evaluation results of the comprehensive environmental quality index and the comprehensive infrastructure status index, calculate the weighted comprehensive index of each monitoring area and comprehensively evaluate each monitoring area. Among them, the weighted comprehensive index is obtained through the following formula:

[0108] Bi = α × Q i + β × F i

[0109] Wherein, B i represents the weighted comprehensive index of the monitoring area numbered i, Q i represents the comprehensive environmental quality index of the monitoring area numbered i, α represents the weight coefficient of the comprehensive environmental quality index, F i represents the comprehensive infrastructure status index of the monitoring area numbered i, and β represents the weight coefficient of the comprehensive infrastructure status index.

[0110] In the above embodiment, by defining a unified scoring standard index, the intelligent evaluation module can standardize the data from different sensors and cameras, making the evaluation of environmental quality and infrastructure status comparable and consistent, which helps to improve the objectivity and accuracy of the evaluation results. Calculate the comprehensive environmental quality index and the comprehensive infrastructure status index respectively, and further combine these single-dimensional evaluation results to form a weighted comprehensive index, which can more comprehensively reflect the actual situation of the monitoring area and provide more comprehensive information support for decision-makers.

[0111] In the above embodiment, the formula and weight coefficients in the intelligent evaluation module can be adjusted and optimized according to actual needs. For example, with the development of the city and the progress of monitoring technology, new environmental indicators or infrastructure status indicators can be introduced, and the weight coefficients can be adjusted accordingly. This flexibility and scalability enable the intelligent evaluation module to adapt to the changing urban environment and monitoring requirements.

[0112] In the above embodiment, by calculating and displaying the weighted comprehensive index of each monitoring area in real time, the intelligent evaluation module provides strong data support for decision-makers. Decision-makers can quickly identify problem areas based on the evaluation results, formulate targeted solutions, and track the implementation effects of the solutions in real time. This data-based decision-making method helps to improve the scientificity and efficiency of decision-making.

[0113] The regional grade division module includes:

[0114] The standard setting unit is used for:

[0115] Obtain the historical data of the comprehensive environmental quality index, the comprehensive infrastructure status index, and the weighted comprehensive index, determine the distribution range of each index, and set the first determination threshold and the second determination threshold;

[0116] Set the regional grades based on the first determination threshold and the second determination threshold. The regional grades include grade A, grade B, and grade C;

[0117] The grade determination unit is used for:

[0118] Perform regional level classification on different monitoring areas based on the first determination threshold and the second determination threshold;

[0119] When the weighted comprehensive index is greater than the first determination threshold, it is determined that the overall urban construction level of the monitoring area is excellent, and the monitoring area is classified as Class A;

[0120] When the weighted comprehensive index is less than the first determination threshold and greater than the second determination threshold, it is determined that the overall urban construction level of the monitoring area is good, and the monitoring area is classified as Class B;

[0121] When the weighted comprehensive index is less than the second determination threshold, it is determined that the overall urban construction level of the monitoring area needs to be improved, and the monitoring area is classified as Class C;

[0122] Store the determination results of each monitoring area and associate them with the regional attributes in the GIS system;

[0123] Real-time update unit, for:

[0124] Monitor the output changes of the intelligent evaluation module and trigger the update process when a new comprehensive index is detected;

[0125] After the intelligent evaluation module updates the environmental quality comprehensive index, infrastructure status comprehensive index, and weighted comprehensive index of the monitoring area each time, automatically call the level determination unit, re-determine the regional level based on the new comprehensive index, and real-time update the regional attributes and level information in the GIS system;

[0126] Report generation unit, for:

[0127] Obtain the latest regional level data from the GIS system and the level determination unit;

[0128] According to the preset report template, integrate the data to compile a level classification report, and the report content includes the level distribution map, level statistical data, and regional level change trend of each monitoring area.

[0129] In the above embodiment, the real-time update unit can monitor the output changes of the intelligent evaluation module and automatically trigger the update process when a new comprehensive index is detected. This real-time update mechanism ensures the timeliness and accuracy of the regional level information, helps decision-makers understand the construction level and change trend of each urban area in a timely manner. The level determination unit not only conducts level classification, but also stores the determination results and associates them with the regional attributes in the GIS system, so that the level information can be visually displayed in the form of a map in the GIS system, facilitating decision-makers to quickly identify problem areas and advantageous areas. Further integrate the level information into a report, providing visual content such as level distribution maps and statistical data, enhancing the readability and intuitiveness of the information.

[0130] In the above embodiments, the results of regional level division can provide strong data support for decision-makers. According to the levels of different regions, decision-makers can formulate targeted policies and measures, optimize resource allocation, improve the efficiency and quality of urban management. Through continuous monitoring and level division, the system can reveal the development differences and imbalances among different regions of the city, which helps to prompt the government and all sectors of society to pay attention to and strive to solve the problem of uneven development, and promote the balanced development of different regions of the city.

[0131] The decision-making early warning module includes:

[0132] A rule setting unit, configured to:

[0133] Set the early warning thresholds for each monitoring index, set different early warning levels based on the early warning thresholds, and preset the urgency and decision-making recommendation schemes corresponding to each level;

[0134] An early warning trigger unit, configured to:

[0135] Monitor the outputs of the intelligent evaluation module and the data acquisition module, obtain the data of the monitored area in real time, compare the real-time data with the early warning thresholds in the early warning rules to determine whether an early warning needs to be triggered. When the data reaches or exceeds the early warning threshold, trigger the early warning mechanism and call the decision-making recommendation unit;

[0136] A decision-making recommendation unit, configured to:

[0137] According to the early warning level and the monitored area information provided by the early warning trigger unit, match the preset decision-making recommendation scheme, generate a decision-making recommendation scheme based on the matching result. The decision-making recommendation scheme includes countermeasures, responsible departments, and processing time limits, and send the decision-making recommendation scheme to the staff through text messages, emails, and APP push methods;

[0138] A record tracking unit, configured to:

[0139] When an early warning is triggered, record the time, level, trigger conditions, and decision-making recommendation scheme information of the early warning, and track the processing process of the early warning. The processing process includes processing personnel, processing time, and processing results.

[0140] In the above embodiments, the early warning trigger unit monitors the outputs of the intelligent evaluation module and the data acquisition module in real time, and immediately triggers the early warning mechanism when the data reaches or exceeds the early warning threshold, realizing a rapid response to potential problems in urban construction, which helps to take countermeasures in a timely manner to prevent the problems from deteriorating further, ensuring the normal operation and development of the city. By presetting the urgency and decision-making recommendation schemes corresponding to different early warning levels, when an early warning is triggered, the decision-making recommendation unit can automatically match and generate specific decision-making recommendation schemes, improving the efficiency and pertinence of problem-solving.

[0141] In the above embodiments, the record tracking unit details the relevant information of the early warning when the early warning is triggered and tracks the processing process of the early warning, which helps to analyze the cause of the problem and improvement measures afterwards. At the same time, by continuously monitoring and evaluating the effectiveness of the early warning mechanism, the early warning rules can be continuously optimized and improved, the accuracy and timeliness of the early warning can be improved, so that potential problems in urban construction can be discovered in time, accurate decisions can be made and effectively responded to, which helps to improve the urban governance level and emergency management ability, and enhance the resilience and sustainable development ability of the city.

[0142] The user interaction module includes:

[0143] The interactive query unit is used for:

[0144] Providing an interaction interface between the user and the system, and the interaction interface is used to query the real-time data, historical data, evaluation results, grade division and decision recommendation information of each monitoring area;

[0145] Displaying the data in the form of charts, tables, map views, etc. on the front-end interface, marking the positions, boundaries and grade information of each monitoring area on the map, and distinguishing different grades by colors;

[0146] The visualization display unit is used for:

[0147] Generating and configuring a visualization display platform, and viewing the real-time data, evaluation results and grade division information of each monitoring area based on the visualization display platform.

[0148] In the above embodiments, the interactive query unit provides an intuitive interaction interface for users. Users can query the real-time data, historical data, evaluation results, grade division and decision recommendation information of each monitoring area through simple operations. The visualization display unit displays the data in various forms such as charts, tables, and map views on the front-end interface. Especially, it marks the positions, boundaries and grade information of each monitoring area on the map and distinguishes different grades by colors, making the data more intuitive and easy to understand. Users can quickly capture key information and grasp the overall situation and regional differences of urban construction.

[0149] In the above embodiments, users can quickly understand the real-time data, evaluation results and grade division information of each monitoring area through the visualization display platform, so as to provide strong support for decision-making, help decision-makers more accurately judge the problems, formulate targeted policies and measures, and improve the scientificity and efficiency of decision-making.

[0150] The above are only the preferred specific embodiments of the present invention, but the protection scope of the present invention is not limited thereto. Any person skilled in the art within the technical scope disclosed by the present invention, according to the technical solution and inventive concept of the present invention, making equivalent substitutions or changes should be covered within the protection scope of the present invention.

Claims

1. An intelligent urban construction monitoring system integrating geographic information and Internet of Things technology, characterized by: include: Geographic information zoning module, used for: Import city map data, which includes road, building, and water information, divide monitoring areas according to administrative divisions, functional areas, and environmental characteristics, store the boundaries, names, and coding information of each monitoring area, and provide spatial indexes for subsequent modules; IoT device management module for: Manage the connection status and data collection frequency of sensors and cameras deployed in different monitoring areas; Data acquisition module for: Based on the interaction between the Internet of Things and sensors and cameras deployed in key areas of the city, environmental data and infrastructure status data of key areas of the city are collected in real time, and the collected data is transmitted to the data center through wireless networks; Smart evaluation modules for: Based on environmental data and infrastructure status data, an evaluation index system is constructed. Based on the evaluation index system, the scores of various indicators in different monitoring areas are calculated. The scores of various indicators are combined to conduct an overall evaluation of each monitoring area. Regional classification module, used for: According to the intelligent assessment results, the monitoring area is divided into different levels, the level division standards are set, the assessment results of each area are compared with the level division standards, the level of each area is determined, and the regional attributes and level information in the GIS system are updated in real time; Decision-making and early warning module, used for: Different decision-making recommendation plans are preset according to the level of the monitoring area. When abnormal data is monitored, the early warning mechanism is triggered to send decision-making recommendations and early warning information to the staff; User interaction module, used to: Generate an interactive interface and a visual display platform to display the real-time data, assessment results, grade classification and decision-making recommendation information of each monitoring area.

2. The urban construction intelligent monitoring system integrating geographic information and Internet of Things technology as claimed in claim 1 is characterized in that: In the geographic information zoning module, the functional areas include industrial areas, residential areas and commercial areas, and the environmental characteristics include the vicinity of pollution sources and the distribution of green spaces.

3. The urban construction intelligent monitoring system integrating geographic information and Internet of Things technology as claimed in claim 1 is characterized in that: In the data acquisition module, the sensors include a temperature sensor, a humidity sensor, a noise sensor, an air quality sensor and a water quality sensor; The environmental data include temperature, humidity, noise intensity, air quality and water quality; The infrastructure status data includes traffic flow data, crowd density data, parking status data, infrastructure damage data, public safety data, building status data, environmental sanitation data, greening status data, water area status data and lighting data.

4. The urban construction intelligent monitoring system integrating geographic information and Internet of Things technology as claimed in claim 1 is characterized in that: The intelligent evaluation module comprises: Environmental Quality Assessment Unit for: Real-time environmental data is obtained from the data acquisition module, the raw data of different sensors are converted into a unified scoring standard index, and the comprehensive environmental quality index is calculated based on different environmental indicator indexes, wherein the comprehensive environmental quality index is obtained by the following formula: Where i represents the monitoring area number, Q i represents the comprehensive environmental quality index of the monitoring area numbered i, j represents the environmental indicator number, and w j represents the weight of the environmental indicator numbered j, q j represents the standardized environmental indicator index of the environmental indicator numbered j; Facility Condition Assessment Unit for: The infrastructure status data is obtained from the data collection module, and various types of infrastructure status data are converted into a unified scoring standard index. The infrastructure status comprehensive index is calculated based on different infrastructure status indicator indexes, wherein the infrastructure status comprehensive index is obtained by the following formula: Where i represents the monitoring area number, F i represents the comprehensive index of infrastructure status of the monitoring area numbered i, k represents the infrastructure indicator number, and v k represents the weight of infrastructure indicator numbered k, f k Represents the standardized infrastructure status indicator index of the monitoring area numbered i.

5. The urban construction intelligent monitoring system integrating geographic information and Internet of Things technology as claimed in claim 4 is characterized in that: The intelligent evaluation module further includes: Comprehensive Assessment Unit for: Combined with the evaluation results of the comprehensive index of environmental quality and the comprehensive index of infrastructure status, the weighted comprehensive index of each monitoring area is calculated and each monitoring area is comprehensively evaluated, wherein the weighted comprehensive index is obtained by the following formula: B i =α×Q i +β×F i Among them, B i represents the weighted comprehensive index of the monitoring area numbered i, Q i represents the comprehensive environmental quality index of the monitoring area numbered i, α represents the weight coefficient of the comprehensive environmental quality index, and F i represents the comprehensive index of infrastructure status of the monitoring area numbered i, and β represents the weight coefficient of the comprehensive index of infrastructure status.

6. The urban construction intelligent monitoring system integrating geographic information and Internet of Things technology as claimed in claim 1 is characterized in that: The regional level division module includes: Standard setting unit for: Obtain historical data of the comprehensive index of environmental quality, the comprehensive index of infrastructure status, and the weighted comprehensive index, determine the distribution range of each index, and set a first determination threshold and a second determination threshold; Setting a region level based on the first determination threshold and the second determination threshold, wherein the region level includes level A, level B, and level C; A grade determination unit is used to: Based on the first determination threshold and the second determination threshold, different monitoring areas are divided into regional levels; When the weighted comprehensive index is greater than the first judgment threshold, the overall level of urban construction in the monitoring area is judged to be excellent, and the monitoring area is classified as Class A; When the weighted comprehensive index is less than the first judgment threshold and greater than the second judgment threshold, it is determined that the overall level of urban construction in the monitoring area is good, and the monitoring area is classified as Class B; When the weighted comprehensive index is less than the second determination threshold, it is determined that the overall level of urban construction in the monitoring area needs to be improved, and the monitoring area is classified as Class C; The determination results of each monitoring area are stored and associated with the regional attributes in the GIS system.

7. The urban construction intelligent monitoring system integrating geographic information and Internet of Things technology as claimed in claim 6 is characterized in that: The regional level division module further includes: Real-time update unit for: Monitor the output changes of the intelligent evaluation module and trigger the update process when a new comprehensive index is detected; After the intelligent assessment module updates the comprehensive index of environmental quality, comprehensive index of infrastructure status and weighted comprehensive index of the monitored area each time, the grade determination unit is automatically called to re-determine the regional grade based on the new comprehensive index, and the regional attributes and grade information in the GIS system are updated in real time; Report generation unit for: Obtain the latest regional grade data from the GIS system and grade determination unit; According to the preset report template, the data is integrated to compile a grade classification report, and the report content includes a grade distribution map of each monitoring area, grade statistical data, and regional grade change trends.

8. The urban construction intelligent monitoring system integrating geographic information and Internet of Things technology as claimed in claim 1 is characterized in that: The decision-making and early warning module comprises: A rule setting unit is used to: Set the warning thresholds for each monitoring indicator, set different warning levels based on the warning thresholds, and preset the urgency and decision-making recommendations for each level; The early warning trigger unit is used to: Monitor the output of the intelligent evaluation module and the data acquisition module, obtain the data of the monitoring area in real time, compare the real-time data with the warning threshold in the warning rule, and determine whether a warning needs to be triggered. When the data reaches or exceeds the warning threshold, the warning mechanism is triggered and the decision recommendation unit is called; Decision recommendation unit, used to: According to the warning level and monitoring area information provided by the warning trigger unit, the preset decision recommendation plan is matched, and based on the matching result, a decision recommendation plan is generated. The decision recommendation plan includes response measures, responsible departments, and processing time limits. The decision recommendation plan is sent to the staff via SMS, email, and APP push.

9. The urban construction intelligent monitoring system integrating geographic information and Internet of Things technology as claimed in claim 8, characterized in that: The decision warning module also includes: Logging and tracking unit for: When an early warning is triggered, the time, level, triggering conditions, and decision-making recommendation plan information of the early warning are recorded, and the processing process of the early warning is tracked, which includes the processing personnel, processing time, and processing results.

10. The urban construction intelligent monitoring system integrating geographic information and Internet of Things technology as claimed in claim 1, characterized in that: The user interaction module comprises: Interactive Query Unit for: Provide an interactive interface between the user and the system, which is used to query the real-time data, historical data, evaluation results, grade classification and decision recommendation information of each monitoring area; Display data in charts, tables, and map views on the front-end interface, mark the location, boundaries, and level information of each monitoring area on the map, and distinguish different levels by color; Visual display unit for: Generate and configure a visualization display platform, and view the real-time data, assessment results, and grade classification information of each monitoring area based on the visualization display platform.

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