Environment safety online monitoring and early warning method and system

Abstract

The invention discloses an environment safety online monitoring and early warning method and system, and relates to the related field of environmental sciences, and the method comprises the steps: building an environment monitoring data set; transmitting the data to a data center for real-time processing and analysis, and obtaining environment monitoring data of abnormal change; setting early warning thresholds of various environmental parameters, acquiring monitoring parameters, and triggering an early warning mechanism when the monitoring parameters exceed the early warning thresholds; the early warning information is sent to related departments, and countermeasures are executed; and performing effect evaluation on the countermeasures, and performing optimization according to an evaluation result. The technical problems of insufficient real-time performance and accuracy of data acquisition and processing, low early warning accuracy and reliability, and poor effectiveness and timeliness of response measures in existing environmental safety monitoring and early warning are solved, and the purposes of improving the real-time performance and accuracy of data acquisition and processing, improving the accuracy and reliability of early warning, and improving the safety of environmental safety monitoring and early warning are achieved. Effectiveness and timeliness of response measures are ensured, and comprehensive monitoring and early warning support is provided for environmental safety.

Description

Technical Field

[0001] The present application relates to the field of environmental science, and in particular to an online environmental safety monitoring and early warning method and system. Background Art

[0002] With the rapid development of industries such as industry and transportation, the emission of large amounts of waste gas, wastewater and solid waste has caused serious pollution to the atmosphere, water bodies and soil, and has had irreversible effects on human health and ecosystems. Therefore, environmental safety monitoring has become crucial. At present, online environmental safety monitoring mainly relies on sensor technology to collect environmental data in real time, and to identify abnormal changes through data processing and analysis. However, there are some obvious defects in the existing online environmental safety monitoring and early warning methods. In the existing environmental monitoring technology, there are often delays in the collection and processing of environmental data, which cannot reflect the changes in environmental conditions in real time. The setting of early warning thresholds is usually based on fixed standards and lacks the ability to adjust dynamically, resulting in low accuracy of early warnings. In addition, the existing early warning systems often cannot generate effective response measures based on specific monitoring parameters, lack evaluation of the effectiveness of the response measures, and cannot continuously optimize the early warning and response mechanisms.

[0003] Among the current relevant technologies, online environmental safety monitoring and early warning have technical problems such as insufficient real-time and accuracy of data collection and processing, low accuracy and reliability of early warnings, and poor effectiveness and timeliness of response measures. Summary of the invention

[0004] This application provides an online environmental safety monitoring and early warning method and system, which adopts technical means such as real-time data collection and transmission, data processing and analysis, early warning threshold setting and triggering, response measure generation and execution, effect evaluation and optimization, etc., to achieve the technical effect of improving the real-time and accuracy of data collection and processing, improving the accuracy and reliability of early warnings, and ensuring the effectiveness and timeliness of response measures, thereby providing comprehensive and reliable monitoring and early warning support for environmental safety.

[0005] The present application provides an environmental safety online monitoring and early warning method, comprising: Collect environmental data in real time through sensor groups to establish environmental monitoring data sets; Environmental monitoring data sets are transmitted to the data center for real-time processing and analysis to obtain environmental monitoring data with abnormal changes; According to environmental safety standards and historical data, early warning thresholds for various environmental parameters are set, and monitoring parameters are obtained based on the environmental monitoring data. When the monitoring parameters exceed the early warning thresholds, an early warning mechanism is triggered; According to the early warning mechanism, the early warning information is sent to relevant departments, and response measures are executed, wherein response measures are generated according to the monitoring parameters and the early warning threshold; The effectiveness of the countermeasures is evaluated, and the countermeasures are optimized according to the evaluation results.

[0006] The present application also provides an environmental safety online monitoring and early warning system, including: An environment monitoring data set establishment module, the environment monitoring data set establishment module is used to collect environmental data in real time through a sensor group and establish an environment monitoring data set; An abnormal environment monitoring data acquisition module is used to transmit environmental monitoring data sets to a data center for real-time processing and analysis to obtain abnormally changing environmental monitoring data; An early warning mechanism triggering module, which is used to set early warning thresholds for various environmental parameters according to environmental safety standards and historical data, obtain monitoring parameters based on the environmental monitoring data, and trigger the early warning mechanism when the monitoring parameters exceed the early warning thresholds; A countermeasure execution module, the countermeasure execution module is used to send the warning information to the relevant departments according to the warning mechanism and execute countermeasures, wherein the countermeasures are generated according to the monitoring parameters and the warning threshold; The countermeasure optimization module is used to evaluate the effectiveness of the countermeasures and optimize the countermeasures according to the evaluation results.

[0007] The present application proposes an online environmental safety monitoring and early warning method and system, which collects environmental data in real time through a sensor group, establishes an environmental monitoring data set, and then transmits the environmental monitoring data set to a data center for real-time processing and analysis to obtain environmental monitoring data with abnormal changes. Then, according to environmental safety standards and historical data, early warning thresholds for various environmental parameters are set, and monitoring parameters are obtained by identification based on environmental monitoring data. When the monitoring parameters exceed the early warning threshold, the early warning mechanism is triggered, and then according to the early warning mechanism, the early warning information is sent to relevant departments to implement response measures. Among them, response measures are generated according to the monitoring parameters and the early warning threshold, and finally the effectiveness of the response measures is evaluated, and the response measures are optimized according to the evaluation results, so as to improve the real-time and accuracy of data collection and processing, improve the accuracy and reliability of early warnings, ensure the effectiveness and timeliness of response measures, and thus provide comprehensive and reliable monitoring and early warning support for environmental safety. Technical effect. BRIEF DESCRIPTION OF THE DRAWINGS

[0008] In order to more clearly illustrate the technical solution of the embodiment of the present invention, the accompanying drawings of the embodiment of the present invention will be briefly introduced below. A flow chart is used in the present application to illustrate the operations performed by the system according to the embodiment of the present application. It should be understood that the preceding or following operations are not necessarily performed accurately in order. On the contrary, various steps can be processed in reverse order or simultaneously as needed. At the same time, other operations can also be added to these processes, or one or more operations can be removed from these processes.

[0009] Figure 1 A flow chart of an online environmental safety monitoring and early warning method provided in an embodiment of the present application; Figure 2 A schematic diagram of the structure of an environmental safety online monitoring and early warning system provided in an embodiment of the present application. DETAILED DESCRIPTION

[0010] The above description is only an overview of the technical solution of the present application. In order to more clearly understand the technical means of the present application, it can be implemented in accordance with the contents of the specification. In order to make the above and other purposes, features and advantages of the present application more obvious and easy to understand, the specific implementation methods of the present application are listed below.

[0011] In order to make the purpose, technical solutions and advantages of the present application clearer, the present application will be further described in detail below in conjunction with the accompanying drawings. The described embodiments should not be regarded as limiting the present application. All other embodiments obtained by ordinary technicians in the field without making creative work are within the scope of protection of this application.

[0012] In the following description, reference is made to "some embodiments", which describe a subset of all possible embodiments, but it is understood that "some embodiments" may be the same subset or different subsets of all possible embodiments, and may be combined with each other without conflict. The terms "including" and "having" and any variations thereof are intended to cover non-exclusive inclusions. For example, a process, method, system, product, or server that includes a series of steps or units is not necessarily limited to those steps or units that are clearly listed, but may include other steps or modules that are not clearly listed or inherent to these processes, methods, products, or devices. Unless otherwise defined, all technical and scientific terms used herein have the same meaning as commonly understood by technicians in the technical field of this application. The terms used herein are for the purpose of describing the embodiments of the present application only.

[0013] The present application embodiment provides an environmental safety online monitoring and early warning method, such as Figure 1 As shown, the method includes: Step S100, collecting environmental data in real time through a sensor group to establish an environmental monitoring data set.

[0014] Specifically, various types of sensors are deployed in key monitoring areas, such as air quality monitoring sensors, water quality monitoring sensors, soil pollution monitoring sensors, etc. These sensors together constitute a sensor group, which collects environmental data in real time, including but not limited to air quality, water quality, soil pollution, temperature, humidity, wind speed, wind direction, etc. An environmental monitoring data set is established through the environmental data collected from these different sources.

[0015] In a possible implementation, before collecting environmental data in real time through the sensor group, step S100 further includes: Step S110, determining a monitoring threshold and a monitoring object based on the monitoring target.

[0016] Specifically, the monitoring target is determined according to actual needs, such as monitoring the air pollution and water pollution in a certain area. Based on environmental safety standards, historical data and current monitoring targets, the monitoring thresholds of various environmental parameters are determined. According to the monitoring target, the specific objects to be monitored are determined, such as PM2.5 concentration in the air and heavy metal content in water.

[0017] Step S120: determining the sensor type according to the monitored object, and integrating and acquiring the sensor group.

[0018] Specifically, for the determined monitoring object, select the appropriate sensor type. For example, to monitor air quality, select sensors that can measure pollutants such as PM2.5 and sulfur dioxide. Integrate the determined sensors together to form a sensor group, which is used to collect the required environmental data in real time to ensure that multiple environmental parameters can be monitored simultaneously in one area. Preset the parameters of the sensor (such as acquisition frequency, data transmission frequency, etc.) to ensure that it can meet the accuracy and real-time requirements of data collection during the working process.

[0019] Step S130, extracting the transmission network layout in the overall environment architecture and generating a sensor network layout.

[0020] Use GIS system or remote sensing technology to conduct detailed analysis of the terrain, building distribution, communication facilities, etc. in the monitoring area. Extract the most suitable network layout for data transmission based on environmental characteristics, such as giving priority to existing wireless networks (4G / 5G, Wi-Fi) or wired networks. And simulate the propagation of wireless signals in terrain and buildings to ensure the stability and uniformity of signal coverage.

[0021] Preliminary determination of sensor locations: Based on the transmission network layout, the sensor locations are preliminarily planned to ensure that they can stably transmit data through the network.

[0022] Specifically, the GIS system or remote sensing technology is used to analyze the overall environmental architecture of the monitoring area, including terrain, building distribution, existing communication facilities, etc. The network layout suitable for data transmission is extracted from the overall environmental architecture, including wireless communication networks, wired communication lines, etc. Based on the extracted transmission network layout, the placement and communication method of the sensor are determined, and the sensor network layout is generated. The sensor network layout is used to ensure that the sensor can stably collect data and effectively transmit the data to the data center. This implementation method prepares for the online monitoring and early warning method of environmental safety, ensuring that subsequent data collection, analysis and early warning can proceed smoothly, thereby achieving the technical effect of improving the accuracy and reliability of monitoring, and providing strong support for the formulation and implementation of subsequent response measures.

[0023] In another possible implementation, the transmission network layout in the overall architecture of the extraction environment, step S130 further includes the steps; Step S131, extract the environmental characteristics and monitoring requirements of the target area, and divide the monitoring area. Specifically, extract the environmental characteristics of the target area, including topography, climate characteristics, vegetation coverage, population distribution, etc. According to the monitoring target, analyze the required monitoring data type, accuracy and frequency, etc. Based on the environmental characteristics and monitoring requirements, divide the target area into different monitoring sub-areas, and each monitoring sub-area is deployed and monitored separately according to its specific environmental conditions and monitoring requirements.

[0024] Use signal propagation simulation software to simulate the propagation of sensor signals in different terrains, analyze factors such as signal strength and attenuation, and ensure good signal coverage after sensor deployment.

[0025] Adjustments are made based on possible building obstructions, electromagnetic interference, and other situations, and the best sensor deployment location is selected.

[0026] Specifically, the signal propagation simulation software can be: CST Studio Suite, MATLABSimulink + RF Toolbox, NS-3 (Network Simulator 3), to build a simulation environment model; For example, import a 3D model of an area, set building heights, material properties (such as the attenuation of signals by wall thickness), and add terrain undulations through GIS data to build a simulation environment that includes suspended terrain, buildings, and open spaces; According to the preliminary sensor layout, sensors are set as transmitting points in the environment model and receiving points are arranged around them.

[0027] Run the simulation to generate a signal propagation path diagram and record the signal strength and path loss at each receiving point.

[0028] Analyze signal attenuation along different propagation paths, including free space loss and loss caused by penetrating obstacles such as walls or trees.

[0029] The simulation software is used to generate a signal strength heat map, indicating the signal strength of each receiving point.

[0030] Identify signal dead spots or areas with insufficient signal coverage based on heat maps.

[0031] Attenuation curve analysis: extract signal attenuation curve, analyze the relationship between signal strength and distance, and evaluate the impact of different terrains and obstacles on signal propagation; Use simulation software to simulate the impact of electromagnetic interference and evaluate the impact of different interference sources (such as other wireless networks, devices, etc.) on sensor signals.

[0032] Analyze the blocking effects of buildings, mountains, vegetation and other objects on signal propagation, especially the blocking of low-level sensors by high-rise buildings.

[0033] In actual deployment environments, field tests and simulation data are combined to locate interference sources and make corresponding adjustments.

[0034] Adjust the deployment location of sensors based on the signal blind area and interference analysis results to ensure coverage of signal blind areas and avoid areas with strong interference.

[0035] Add relay nodes in areas with greater signal attenuation to enhance the stability of signal transmission.

[0036] By rerunning the simulation, verify whether the optimized sensor layout meets the design requirements. Iterate the optimization several times until the signal coverage and data acquisition rate reach the ideal level.

[0037] Step S132, randomly deploy sensors based on the monitoring area, and evaluate the collection rate of environmental monitoring data based on the sensors. Specifically, in each monitoring sub-area, randomly deploy sensors to ensure that the distribution of sensors in the area is relatively uniform, and avoid deployment deviations caused by human factors. Start the sensor to collect environmental monitoring data, and evaluate the performance of the sensor based on the collected data. The evaluation indicators include data collection rate, data quality, data transmission stability, etc.

[0038] Step S133, displace the sensor in the monitoring area according to the acquisition rate to obtain the transmission network layout. Specifically, by analyzing the acquisition rate of the sensor, find out the sensors and areas with low acquisition rates, which may have problems such as communication barriers, environmental interference or improper sensor positions. According to the acquisition rate analysis results, adjust or displace the position of the sensor in the monitoring area, so as to optimize the distribution of the sensor and the communication link, and improve the data acquisition rate and transmission stability. After the sensor is displaced, re-evaluate the sensor performance and data acquisition effect of the entire monitoring area, and finally determine a transmission network layout, which can ensure that the sensor can stably and efficiently collect and transmit environmental monitoring data. This implementation method realizes the optimal deployment of sensors and the determination of the transmission network layout by analyzing environmental characteristics and monitoring requirements, randomly deploying sensors and evaluating acquisition rates, and achieves the technical effect of providing reliable support for subsequent environmental monitoring and early warning.

[0039] Step S200: The environmental monitoring data set is transmitted to the data center for real-time processing and analysis to obtain abnormal environmental monitoring data. Specifically, the environmental monitoring data set is transmitted to the data center in real time through the communication channel. The data center performs pre-processing operations such as cleaning and formatting on the received data to ensure the accuracy and consistency of the data. Then, the pre-processed data is analyzed in real time to identify abnormal environmental monitoring data, such as a sudden increase in pollutant concentrations, abnormal changes in temperature, etc.

[0040] In a possible implementation, step S200 further includes step S210, performing missingness detection based on the environmental monitoring data set to obtain a data missing coefficient. Specifically, the received environmental monitoring data set is checked for integrity to detect whether there is data missing. For each monitoring parameter, the proportion of data missing, i.e., the data missing coefficient, is calculated. The data missing coefficient reflects the completeness of each parameter in the environmental monitoring data set. Step S220, if the data missing coefficient does not meet the missing coefficient threshold, a consistency test of multiple environmental monitoring data is performed to obtain the inconsistent multiple environmental monitoring data. Specifically, the calculated data missing coefficient is compared with a preset missing coefficient threshold. If the data missing coefficient does not meet the threshold requirement (i.e., the data missing is more serious), a consistency test of multiple environmental monitoring data is further performed, i.e., data from different sources or different sensors are compared to identify potential inconsistent data. Through consistency detection, it is determined which environmental monitoring data have obvious inconsistencies. Step S230, if the data missing coefficient meets the missing coefficient threshold, interpolation correction is performed to obtain the environmental monitoring data. Specifically, if the data missing coefficient meets the preset missing coefficient threshold (i.e., the data is relatively complete), no consistency check is performed. For the small amount of missing data, interpolation methods (such as linear interpolation, polynomial interpolation, etc.) are used to correct it, so as to obtain complete environmental monitoring data. This implementation method detects and handles data missing and inconsistency problems when processing environmental monitoring data sets, avoiding false positives or omissions caused by data quality problems, thereby achieving the technical effect of improving the accuracy and reliability of subsequent data analysis and improving the overall performance of the environmental safety online monitoring and early warning system.

[0041] Step S300, according to the environmental safety standards and historical data, set the early warning thresholds of various environmental parameters, identify and obtain the monitoring parameters based on the environmental monitoring data, and trigger the early warning mechanism when the monitoring parameters exceed the early warning threshold. Specifically, collect relevant environmental safety standards, which are used to specify the safety range of various environmental parameters, analyze the historical monitoring data, and understand the change trend, seasonal changes and abnormal event records of environmental parameters. Based on the environmental safety standards and the analysis results of historical data, set reasonable early warning thresholds for various environmental parameters. The early warning thresholds include upper and lower limits, which are used to determine whether the environmental parameters exceed the safety range. From the environmental monitoring data set that has been preprocessed and analyzed, extract specific monitoring values ​​according to the type and identification of the monitoring parameters, compare the real-time acquired monitoring parameter values ​​with the set early warning thresholds, and if one or more monitoring parameter values ​​exceed (or are lower than) the corresponding early warning thresholds, it is judged as an abnormal situation. When an abnormal situation occurs, the early warning mechanism is automatically triggered, including generating early warning information, starting the emergency response process, sending notifications to relevant personnel, etc.

[0042] In a possible implementation, step S300 further includes step S310, based on the inconsistent multiple environmental monitoring data, extracting the corresponding sensor to collect sensor data, if the sensor data is collected, marking the sensor as normal and extracting the collection environment. Specifically, in step S220, if inconsistent environmental monitoring data is found, extract these environmental monitoring data, identify the corresponding sensor, and for each identified sensor, re-collect data to eliminate errors that may occur during data transmission or processing. If the sensor data can be successfully collected, the sensor is marked as normal; if the collection fails, it means that the sensor is faulty or damaged and needs further inspection and repair. Record the environmental conditions when the sensor data is collected, including temperature, humidity, air pressure, etc. These environmental conditions may be factors that affect the performance of the sensor and the accuracy of data collection. Step S320, obtain the environmental parameters according to the collection environment, compare and judge the environmental parameters with the warning threshold, and trigger the warning mechanism if the monitoring parameters exceed the warning threshold. Specifically, based on the acquisition environment, key environmental parameters are extracted, and the acquired environmental parameters are compared with the pre-set warning thresholds to determine whether the environment is in a safe state. If the comparison results show that one or more environmental parameters exceed the warning threshold, the warning mechanism is triggered to ensure timely response to potential environmental safety risks. This implementation method identifies and processes inconsistent environmental monitoring data, improves the accuracy and reliability of the warning mechanism, and at the same time, through comprehensive consideration of sensor status and acquisition environment, more comprehensively evaluates the environmental safety status, achieving the technical effect of providing more effective support for online monitoring and early warning of environmental safety.

[0043] In another possible implementation, step S320 further includes step S321, evaluating the correlation of the environmental parameters to obtain a correlation ratio. Specifically, based on historical data, environmental science knowledge and experience, the correlation between the environmental parameters obtained is analyzed, and the correlation reveals the mutual influence and association between different environmental parameters. The correlation ratio between the environmental parameters is calculated by statistical methods or mathematical models, and the correlation ratio quantifies the degree of dependence or influence between the environmental parameters. Step S322, based on the correlation expectation and the correlation ratio, a satisfaction judgment is made, and the unsatisfied correlation ratio is extracted and marked as an interference environmental parameter. Specifically, based on environmental science knowledge and actual monitoring needs, the expected correlation range or threshold between the environmental parameters is set. The calculated correlation ratio is compared with the set correlation expectation to determine whether the expected range or threshold is met. For environmental parameters that do not meet the correlation expectation, they are marked as interference environmental parameters. The interference environmental parameters may be abnormal values ​​caused by sensor failure, data transmission errors or other external factors, which will interfere with the accurate judgment of the early warning mechanism. Step S323, triggering the early warning mechanism according to the interference environmental parameter. Specifically, if there is a situation marked as interference with environmental parameters, it is judged as one of the warning trigger conditions. When the warning trigger conditions are met, the warning mechanism is automatically started, including generating specific interference parameter warning information, sending notifications to relevant personnel, starting troubleshooting procedures, etc. This implementation method further reduces false alarms and missed alarms by considering the correlation between environmental parameters and identifying potential interference parameters, achieving the technical effect of improving the accuracy and reliability of the warning mechanism and providing valuable clues for subsequent troubleshooting and maintenance.

[0044] Step S400, according to the early warning mechanism, the early warning information is sent to the relevant departments, and the countermeasures are executed, wherein the countermeasures are generated according to the monitoring parameters and the early warning threshold. Specifically, once the monitoring parameters exceed the early warning threshold and trigger the early warning mechanism, detailed early warning information is generated according to the specific monitoring parameters that trigger the early warning and the corresponding early warning threshold, including the specific value of the exceeded parameter, the exceeded time, the exceeded location, and the possible risk level. After the early warning information is generated, the early warning information is sent to the relevant departments, including the environmental protection department, the emergency management department, the monitoring site, etc., according to the preset communication protocol and channel, and the sending method can be email, SMS, mobile application push, etc. While sending the early warning information, according to the specific situation of the monitoring parameters and historical experience, preliminary countermeasure suggestions are automatically generated, including strengthening the monitoring frequency, starting the emergency response process, deploying emergency resources, taking emergency emission reduction measures, etc. The generation of countermeasures is used to provide decision-making references for relevant departments, helping to quickly respond to and control potential environmental safety risks. After receiving the early warning information and countermeasure suggestions, the relevant departments will evaluate and make decisions according to the actual situation and execute corresponding countermeasures.

[0045] Step S500, evaluate the effect of the countermeasures, and optimize the countermeasures according to the evaluation results. Specifically, after the countermeasures are executed, data related to the countermeasures are collected, including real-time monitoring data of environmental parameters, execution records of the countermeasures, feedback information, etc. The collected data are analyzed to evaluate the effect of the countermeasures, and the content of the analysis includes the improvement of environmental parameters, the execution efficiency of the countermeasures, resource utilization, etc. Based on the data analysis results, the effect of the countermeasures is quantitatively and qualitatively evaluated, and the evaluation indicators include the degree of reduction of environmental risks, the improvement of response speed, the reduction of resource consumption, etc. According to the effect evaluation results, the advantages and disadvantages of the countermeasures are identified, and the reasons for the disadvantages are further analyzed, and corresponding optimization strategies are formulated, including improving the specific execution process of the countermeasures, adjusting resource allocation, introducing new technical means, etc. According to the optimization strategy, the countermeasures are optimized and adjusted, including updating the warning threshold, adjusting the monitoring points, improving the data transmission method, etc., and the optimized countermeasures are re-incorporated into the system's warning and response process to improve the efficiency and accuracy of environmental safety management. The embodiments of the present application adopt technical means such as real-time data collection and transmission, data processing and analysis, warning threshold setting and triggering, response measure generation and execution, effect evaluation and optimization, so as to achieve the technical effect of improving the real-time and accuracy of data collection and processing, improving the accuracy and reliability of warnings, and ensuring the effectiveness and timeliness of response measures, thereby providing comprehensive and reliable monitoring and early warning support for environmental safety.

[0046] In a possible implementation, step S500 further includes step S510, performing fault replacement and transmission optimization on the sensor according to the evaluation result, and updating the sensor. Specifically, analyzing the data collected during the execution of the countermeasures, focusing on the stability and accuracy of the sensor data. If a sensor data is found to be abnormal or unstable, it indicates that the sensor may be faulty or aged, and the faulty sensor is replaced to ensure the accuracy and reliability of the monitoring data. At the same time, analyzing the delay, packet loss and other problems in the data transmission process, determining whether there is a transmission bottleneck or interference, optimizing the data transmission protocol, enhancing the stability of data transmission, and reducing data loss and delay for the transmission problem. Step S520, based on the evaluation result, the sensor is expanded in richness to monitor the environmental parameters of sensor abnormality. Specifically, according to the effect evaluation of the execution of the countermeasures, the environmental parameters that have not been fully monitored or have monitoring blind spots are identified, and new sensors or monitoring equipment are added for the identified environmental parameters, thereby enriching the dimension and coverage of the monitoring data, and integrating the newly added sensors into the online monitoring and early warning system. Step S530, generating countermeasures in combination with updating sensors and expanding sensors. Specifically, the updated sensor data and the data from the external sensors are integrated into the system to form a more comprehensive environmental monitoring data set. Based on the integrated data, the environmental safety status is reassessed and the warning threshold or trigger condition is adjusted. Combined with the new monitoring data, new response measures are optimized or generated to ensure more accurate response to potential environmental safety risks. This implementation method not only optimizes the existing response measures and sensor configurations based on the evaluation results, but also monitors more environmental parameters through external sensors, thereby achieving the technical effect of further improving the accuracy of warnings and the effectiveness of responses.

[0047] In the above, refer to Figure 1 A method for online monitoring and early warning of environmental safety according to an embodiment of the present invention is described in detail. Figure 2 An environmental safety online monitoring and early warning system according to an embodiment of the present invention is described.

[0048] An online monitoring and early warning system for environmental safety according to an embodiment of the present invention is used to solve the technical problems of insufficient real-time and accuracy of data collection and processing, low accuracy and reliability of early warning, and poor effectiveness and timeliness of response measures in existing online monitoring and early warning for environmental safety, so as to achieve the technical effect of improving the real-time and accuracy of data collection and processing, improving the accuracy and reliability of early warning, and ensuring the effectiveness and timeliness of response measures, thereby providing comprehensive and reliable monitoring and early warning support for environmental safety. An online monitoring and early warning system for environmental safety includes: an environmental monitoring data set establishment module 10, an abnormal environment monitoring data acquisition module 20, an early warning mechanism triggering module 30, a response measure execution module 40, and a response measure optimization module 50.

[0049] The environment monitoring data set establishment module 10 is used to collect environment data in real time through the sensor group and establish an environment monitoring data set; The abnormal environment monitoring data acquisition module 20 is used to transmit the environment monitoring data set to the data center for real-time processing and analysis, and obtain the abnormally changing environment monitoring data; The early warning mechanism triggering module 30 is used to set early warning thresholds for various environmental parameters according to environmental safety standards and historical data, obtain monitoring parameters based on the environmental monitoring data, and trigger the early warning mechanism when the monitoring parameters exceed the early warning thresholds; The countermeasure execution module 40 is used to send the warning information to the relevant departments according to the warning mechanism and execute the countermeasures, wherein the countermeasures are generated according to the monitoring parameters and the warning threshold; The countermeasure optimization module 50 is used to evaluate the effectiveness of the countermeasures and optimize the countermeasures according to the evaluation results.

[0050] The specific configuration of the environment monitoring data set establishment module 10 will be described in detail below. As described above, before collecting environmental data in real time through the sensor group, the environment monitoring data set establishment module 10 may further include: a monitoring threshold and object determination unit for determining the monitoring threshold and the monitoring object based on the monitoring target; a sensor group acquisition unit for determining the sensor type according to the monitoring object and integrating and acquiring the sensor group; and a sensor network layout generation unit for extracting the transmission network layout in the overall environment architecture and generating the sensor network layout.

[0051] Among them, the transmission network layout in the overall architecture of the extraction environment, the sensor network layout generation unit can further include: a monitoring area division subunit is used to extract the environmental characteristics and monitoring requirements of the target area, and divide the monitoring area; an acquisition rate evaluation subunit is used to randomly perform sensor deployment based on the monitoring area, and evaluate the acquisition rate of the environmental monitoring data based on the sensor; the transmission network layout acquisition subunit is used to displace the sensor within the monitoring area according to the acquisition rate, and obtain the transmission network layout.

[0052] The specific configuration of the abnormal environment monitoring data acquisition module 20 will be described in detail below. As described above, the environmental monitoring data set is transmitted to the data center for real-time processing and analysis to obtain abnormally changing environmental monitoring data. The abnormal environment monitoring data acquisition module 20 may further include: a missingness detection unit for performing missingness detection based on the environmental monitoring data set to obtain a data missing coefficient; a consistency detection unit for performing consistency detection on multiple environmental monitoring data if the data missing coefficient does not meet the missing coefficient threshold, and obtaining the inconsistent multiple environmental monitoring data; an interpolation correction unit for performing interpolation correction to obtain the environmental monitoring data if the data missing coefficient meets the missing coefficient threshold.

[0053] The specific configuration of the early warning mechanism triggering module 30 will be described in detail below. As described above, according to the environmental safety standards and historical data, early warning thresholds of various environmental parameters are set, and monitoring parameters are obtained based on the environmental monitoring data. When the monitoring parameters exceed the early warning threshold, the early warning mechanism is triggered. The early warning mechanism triggering module 30 may further include: an acquisition environment extraction unit is used to extract corresponding sensors for sensor data acquisition based on the inconsistent multiple environmental monitoring data. If the sensor data is acquired, the sensor is marked as normal and the acquisition environment extraction is performed; a comparison and judgment unit is used to obtain the environmental parameters according to the acquisition environment, compare and judge the environmental parameters with the early warning threshold, and if the monitoring parameters exceed the early warning threshold, the early warning mechanism is triggered.

[0054] Among them, the comparison and judgment unit may further include: a correlation evaluation subunit for evaluating the correlation of the environmental parameters to obtain a correlation ratio; an interference environment parameter acquisition subunit for performing satisfaction judgment based on the correlation expectation and the correlation ratio, extracting unsatisfied correlation ratios, and marking them as interference environment parameters; an early warning mechanism triggering subunit for triggering an early warning mechanism according to the interference environment parameters.

[0055] The specific configuration of the countermeasure optimization module 50 will be described in detail below. The countermeasure optimization module 50 may further include: a sensor update unit for performing fault replacement and transmission optimization on the sensor according to the evaluation result, and updating the sensor; a richness expansion unit for performing richness expansion on the sensor based on the evaluation result, and monitoring the environmental parameters of the sensor abnormality; and a countermeasure generation unit for generating countermeasures in combination with updating the sensor and expanding the sensor.

[0056] An environmental safety online monitoring and early warning system provided by an embodiment of the present invention can execute an environmental safety online monitoring and early warning method provided by any embodiment of the present invention, and has functional modules and beneficial effects corresponding to the execution method.

[0057] Although the present application makes various references to certain modules in the system according to the embodiments of the present application, any number of different modules may be used and run on the user terminal and / or server, and the various units and modules included are only divided according to functional logic, but are not limited to the above division, as long as the corresponding functions can be achieved; in addition, the specific names of the functional units are only for the convenience of distinguishing each other, and are not used to limit the scope of protection of the present invention.

[0058] The above specific implementation manner does not constitute a limitation to the protection scope of the present application. It should be understood by those skilled in the art that various modifications, combinations and substitutions can be made according to design requirements and other factors. Any modifications, equivalent substitutions and improvements made within the spirit and principles of the present application should be included in the protection scope of the present application. In some cases, the actions or steps recorded in the present application can be performed in an order different from that in the embodiment and can still achieve the desired results. In addition, the process depicted in the accompanying drawings does not necessarily require the specific order or continuous order shown to achieve the desired results. In some embodiments, multitasking and parallel processing are also possible or may be advantageous.

Claims

1. An environmental safety online monitoring and early warning method, characterized in that: The method comprises: Collect environmental data in real time through sensor groups to establish environmental monitoring data sets; Environmental monitoring data sets are transmitted to the data center for real-time processing and analysis to obtain environmental monitoring data with abnormal changes; According to environmental safety standards and historical data, early warning thresholds are set for various environmental parameters, and monitoring parameters are obtained based on the environmental monitoring data. When the monitoring parameters exceed the early warning thresholds, an early warning mechanism is triggered; According to the early warning mechanism, the early warning information is sent to relevant departments, and response measures are executed, wherein response measures are generated according to the monitoring parameters and the early warning threshold; The effectiveness of the countermeasures is evaluated, and the countermeasures are optimized according to the evaluation results.

2. The environmental safety online monitoring and early warning method according to claim 1, characterized in that: Collect environmental data in real time through a sensor group, which previously included: Based on the monitoring objectives, determine the monitoring threshold and monitoring objects; Determine the sensor type according to the monitoring object, and integrate and obtain the sensor group; Extract the transmission network layout in the overall environment architecture and generate the sensor network layout.

3. The method for online monitoring and early warning of environmental safety according to claim 2, characterized in that: Extract the transmission network layout in the overall environment architecture, including: Extract the environmental characteristics and monitoring requirements of the target area and divide the monitoring area; Randomly deploying sensors based on the monitoring area, and evaluating the collection rate of environmental monitoring data based on the sensors; The sensor is displaced within the monitoring area according to the acquisition rate to obtain a transmission network layout.

4. The environmental safety online monitoring and early warning method according to claim 1, characterized in that: The environmental monitoring data set is transmitted to the data center for real-time processing and analysis to obtain abnormal environmental monitoring data, including: Perform missingness detection based on the environmental monitoring data set to obtain a data missing coefficient; If the data missing coefficient does not meet the missing coefficient threshold, performing consistency detection on multiple environmental monitoring data to obtain the inconsistent multiple environmental monitoring data; If the data missing coefficient meets the missing coefficient threshold, interpolation correction is performed to obtain the environmental monitoring data.

5. The environmental safety online monitoring and early warning method according to claim 4, characterized in that: According to environmental safety standards and historical data, early warning thresholds for various environmental parameters are set, and monitoring parameters are obtained based on the environmental monitoring data. When the monitoring parameters exceed the early warning thresholds, an early warning mechanism is triggered, including: Based on the inconsistent multiple environmental monitoring data, extract the corresponding sensor to collect sensor data, if the sensor data is collected, mark the sensor as normal and perform collection environment extraction; The environmental parameters are acquired according to the acquisition environment, and a comparison and judgment is performed between the environmental parameters and the warning threshold. If the monitoring parameters exceed the warning threshold, the warning mechanism is triggered.

6. The environmental safety online monitoring and early warning method according to claim 5, characterized in that: The method comprises: Evaluating the correlation of the environmental parameters to obtain a correlation ratio; Performing satisfaction judgment based on the correlation expectation and the correlation ratio, extracting the unsatisfied correlation ratio, and marking it as an interference environment parameter; An early warning mechanism is triggered according to the interference environment parameters.

7. The environmental safety online monitoring and early warning method according to claim 1, characterized in that: The method comprises: Performing fault replacement and transmission optimization on the sensor according to the evaluation result, and updating the sensor; Based on the evaluation result, the sensor is expanded in richness to monitor the environmental parameters of sensor abnormality; Combine updated sensors and expanded sensors to generate countermeasures.

8. An environmental safety online monitoring and early warning system, characterized in that: The system is used to implement an environmental safety online monitoring and early warning method according to any one of claims 1 to 7, and the system comprises: An environment monitoring data set establishment module, the environment monitoring data set establishment module is used to collect environmental data in real time through a sensor group and establish an environment monitoring data set; An abnormal environment monitoring data acquisition module is used to transmit environmental monitoring data sets to a data center for real-time processing and analysis to obtain abnormally changing environmental monitoring data; An early warning mechanism triggering module, which is used to set early warning thresholds for various environmental parameters according to environmental safety standards and historical data, obtain monitoring parameters based on the environmental monitoring data, and trigger the early warning mechanism when the monitoring parameters exceed the early warning thresholds; A countermeasure execution module, the countermeasure execution module is used to send the warning information to the relevant departments according to the warning mechanism and execute countermeasures, wherein the countermeasures are generated according to the monitoring parameters and the warning threshold; A countermeasure optimization module is used to evaluate the effectiveness of the countermeasures and optimize the countermeasures according to the evaluation results. With claim 2 and claim 3 as the main invention points, the technical problem to be solved by their distinguishing technical features is how to generate a suitable sensor network layout, and further explanations are also added in the specification.

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