Intelligent environment monitoring and management system

Abstract

The invention relates to the technical field of intelligent environment monitoring, and discloses an intelligent environment monitoring and management system, which comprises a data acquisition module, a data analysis and processing module, a data adjustment and compensation module, an early warning and warning module and a display module, the data acquisition module acquires a plurality of environmental data to form a corresponding data set and sends the data set to the data analysis and processing module, and the data analysis and processing module calculates a temperature influence index, a humidity influence index, an air pressure influence index and a pollution degree influence index and compares the indexes with corresponding threshold values. Whether the corresponding environmental factors affect the main monitoring data or not is judged, a corresponding abnormal signal is sent to the data adjustment compensation module and the early warning and warning module under the condition that the influence is caused, data adjustment performs compensation data set calculation and sends the compensation data set calculation to the display module, and the display module displays the main monitoring data by being connected with the display screen. Specific analysis and adjustment of environmental factors are realized, errors are effectively reduced, and data accuracy is improved.

Description

Technical Field

[0001] The present invention relates to the technical field of intelligent environmental monitoring, and in particular to an intelligent environmental monitoring and management system. Background Art

[0002] The intelligent environmental monitoring and management system is a system that integrates modern information technology, automation technology, sensor technology and data analysis technology. It is used to monitor and analyze environmental data in real time to achieve intelligent management of the environment. This system can be widely used in urban environmental monitoring, industrial pollution source monitoring, agricultural environmental monitoring and other fields, which helps to improve the efficiency and level of environmental protection. The intelligent environmental monitoring and management system is a complex and powerful system that integrates a variety of advanced technologies and provides strong support for environmental protection and sustainable development. With the continuous advancement of technology and the continuous expansion of applications, I believe this field will usher in a broader development prospect.

[0003] Sensors are the foundation of intelligent environmental monitoring and management systems. They are responsible for collecting various environmental parameters. During the use of sensors, extreme temperatures, high humidity environments, air pressure changes, and air pollutants will affect the measurement accuracy of the sensors, resulting in inaccurate data. Summary of the Invention

[0004] (1) Technical problems solved

[0005] In response to the shortcomings of the existing technology, the present invention provides an intelligent environmental monitoring and management system that is capable of evaluating the specific impact of environmental factors on sensor accuracy, thereby taking corresponding corrective measures to improve the accuracy of monitoring data, significantly improve monitoring accuracy, optimize system performance, enhance system adaptability, improve user experience, effectively reduce errors, and improve data accuracy, thereby providing users with more accurate information, helping them better understand environmental conditions and make reasonable decisions, etc., and solving the above-mentioned problems.

[0006] (2) Technical solution

[0007] To achieve the above-mentioned object, the present invention provides the following technical solutions: an intelligent environment monitoring and management system, comprising a data acquisition module, a data analysis and processing module, a data adjustment and compensation module, an early warning and alarm module, and a display module;

[0008] The data acquisition module includes an environmental data acquisition unit and a main sensor acquisition unit. The environmental data acquisition unit includes a temperature data acquisition unit, a humidity data acquisition unit, a pressure data acquisition unit, and a pollutant concentration acquisition unit. The temperature data acquisition unit acquires temperature data by connecting to a temperature sensor and forms a temperature data set with multiple temperature data WDsj. The humidity data acquisition unit acquires humidity data by connecting to a humidity sensor and forms a humidity data set with multiple humidity data SDsj. The pressure data acquisition unit acquires pressure data by connecting to an air pressure sensor and forms an air pressure data set with multiple air pressure data QYsj. The pollutant concentration acquisition unit acquires pollution degree data by connecting to a gas analyzer and forms a pollution degree data set with multiple pollution degree data WRsj. The environmental data acquisition unit sends the acquired data sets to the data analysis and processing module.

[0009] The main sensor acquisition unit collects the main monitoring data by connecting to the main sensor system, and forms a main monitoring data set and sends it to the data analysis and processing module;

[0010] The data analysis and processing module calculates the temperature impact index WDzs, humidity impact index SDzs, pressure impact index QYzs and pollution degree impact index WRzs according to the temperature data set, humidity data set, air pressure data set and pollution data set respectively with the main monitoring data collection;

[0011] The data analysis and processing module is preset with a temperature impact threshold WDyz, a humidity impact threshold SDyz, an air pressure impact threshold QYyz, and a pollution level impact threshold WRyz. The data analysis and processing module compares the temperature impact index WDzs, the humidity impact index SDzs, the air pressure impact index QYzs, and the pollution level impact index WRzs with the corresponding thresholds to determine whether the corresponding environmental factors will affect the main monitoring data. If an impact occurs, a corresponding abnormal signal is sent to the data adjustment and compensation module and the early warning and alarm module;

[0012] The data adjustment and compensation module calculates the real-time environmental impact value YXss according to the temperature impact index WDzs, humidity impact index SDzs, air pressure impact index QYzs and pollution impact index WRzs and the real-time data;

[0013] The data adjustment and compensation module calculates the compensation data group BCsjz according to the real-time impact value YXss and the real-time impact value;

[0014] The data adjustment and compensation module sends the calculated compensation data group BCsjz to the display module, and the display module displays the main monitoring data by connecting to the display screen.

[0015] Preferably, the expression of the temperature data set is: {WDsj1, WDsj2, WDsj3, . . . , WDsj n}, the humidity data set is expressed as: {SDsj1, SDsj2, SDsj3, ···, SDsj n}, the pressure data set is expressed as: {QYsj1, QYsj2, QYsj3, . . . , QYsj n}, the pollution degree dataset is expressed as: {WRsj1, WRsj2, WRsj3, . . . , WRsj n The corresponding data in the temperature dataset, humidity dataset, air pressure dataset, and pollution dataset are collected once every half hour, and the collection time of each dataset is consistent. WDsj1, SDsj1, SDsj1, and WRsj1 are the first data in the temperature dataset, humidity dataset, air pressure dataset, and pollution dataset, respectively. n 、SDsj n 、SDsj n WRsj n They are respectively the temperature dataset, humidity dataset, air pressure dataset and the last data in the pollution dataset. n means there are n data in the dataset.

[0016] Preferably, the expression of the main monitoring data set is: {Hk, Hq, Hs, Hz, Hn, Ht}, where Hk represents the air data in the main monitoring data set, Hq represents meteorological data, Hs represents water quality data, Hz represents noise data, Hn represents energy consumption data, and Ht represents soil data.

[0017] Preferably, the calculation formula of the temperature impact index WDzs is as follows:

[0018]

[0019] In the above formula, SDsj max Represents the largest data in the temperature dataset, WDsj min Represents the smallest data in the temperature data set, WDsj max -WDsj min It represents the difference between the maximum and minimum data in the temperature dataset. Hk+Hq+Hs+Hz+Hn+Ht represents the sum of the data in the main monitoring dataset. The temperature impact index WDzs is obtained by dividing the sum of the data in the main monitoring dataset by the difference between the maximum and minimum data in the temperature dataset.

[0020] Preferably, the calculation formula of the humidity impact index SDzs is as follows:

[0021]

[0022] In the above formula, SDsj max Represents the largest data in the humidity dataset, SDsj min Represents the smallest data in the humidity dataset, SDsj max -SDsj min It represents the difference between the maximum and minimum data in the humidity dataset. Hk+Hq+Hs+Hz+Hn+Ht represents the sum of the data in the main monitoring dataset. The humidity impact index SDzs is obtained by dividing the sum of the data in the main monitoring dataset by the difference between the maximum and minimum data in the humidity dataset.

[0023] Preferably, the calculation formula of the air pressure influence index QYzs is as follows:

[0024]

[0025] In the above formula, QYsj max Represents the largest data in the air pressure dataset, QYsj min Represents the smallest data in the air pressure data set, QYsj max -QYsj min It represents the difference between the maximum and minimum data in the air pressure dataset. Hk+Hq+Hs+Hz+Hn+Ht represents the sum of the data in the main monitoring dataset. The pressure impact index QYzs is obtained by dividing the sum of the data in the main monitoring dataset by the difference between the maximum and minimum data in the air pressure dataset.

[0026] Preferably, the calculation formula of the pollution impact index WRzs is as follows:

[0027]

[0028] In the above formula, WRsj max Represents the largest data in the pollution dataset, WRsj min Represents the smallest data in the pollution dataset, WRsj max -WRsj min It represents the difference between the maximum and minimum data in the pollution data set. Hk+Hq+Hs+Hz+Hn+Ht represents the sum of the data in the main monitoring data set. The pollution impact index WRzs is obtained by dividing the sum of the data in the main monitoring data set by the difference between the maximum and minimum data in the air pressure data set.

[0029] Preferably, when the temperature influence index WDzs is greater than the temperature influence threshold WDyz, it means that the temperature factor will affect the main monitoring data; when the humidity influence index SDzs is greater than the humidity influence threshold SDyz, it means that the humidity factor will affect the main monitoring data; when the air pressure influence index QYzs is greater than the air pressure influence threshold QYyz, it means that the air pressure factor will affect the main monitoring data; when the pollution influence index WRzs is greater than the pollution influence threshold WRyz, it means that the pollutant concentration will affect the main monitoring data, and the data analysis and processing module sends the above-mentioned abnormal signal to the data adjustment and compensation module.

[0030] Preferably, the calculation formula of the real-time environmental impact value YXss is as follows:

[0031] YXss=WDzs×WDzs s +SDzs×SDzs s +QYzs×QYzs s +WRzs×WRzs s

[0032] In the above formula, WDzs s Represents real-time temperature data, SDzs s Represents real-time humidity data, QYzs s Represents real-time air pressure data, WRzs s Represents real-time pollution data.

[0033] Preferably, the calculation formula of the compensation data set BCsjz is as follows:

[0034]

[0035] In the above formula, Hk b 、Hq b , Hs b , Hz b 、Hn b 、Ht b They represent the compensated air data, meteorological data, water quality data, noise data, energy consumption data and soil data in the main monitoring data, respectively. y 、Hq y , Hs y , Hz y , Hz y 、Ht y They represent the original air data, meteorological data, water quality data, noise data, energy consumption data and soil data in the main monitoring data respectively.

[0036] Compared with the existing technology, the present invention provides an intelligent environmental monitoring and management system with the following beneficial effects:

[0037] 1. The present invention collects temperature data sets, humidity data sets, air pressure data sets, and pollution data sets, and then uses temperature, humidity, air pressure, and pollution degree as reference factors to fully consider the impact of the above environmental factors on the intelligent environmental monitoring and management system, and optimizes the intelligent environmental monitoring and management system based on these factors. It can evaluate their specific impact on sensor accuracy, and thus take corresponding corrective measures to improve the accuracy of monitoring data, significantly improve monitoring accuracy, optimize system performance, enhance system adaptability, and improve user experience.

[0038] 2. The present invention calculates the temperature influence index WDzs, humidity influence index SDzs, air pressure influence index QYzs, and pollution influence index WRzs, and then compares them with the corresponding thresholds. If the thresholds are exceeded, corresponding data compensation is performed to effectively reduce errors and improve data accuracy, thereby providing users with more accurate information, helping them better understand environmental conditions and make reasonable decisions. BRIEF DESCRIPTION OF THE DRAWINGS

[0039] Figure 1 It is a schematic diagram of the structural system of the present invention. DETAILED DESCRIPTION

[0040] The following will clearly and completely describe the technical solutions in the embodiments of the present invention in conjunction with the accompanying drawings. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without making creative efforts are within the scope of protection of the present invention.

[0041] See also Figure 1 , intelligent environmental monitoring and management system, including data acquisition module, data analysis and processing module, data adjustment and compensation module, early warning module and display module;

[0042] The data acquisition module includes an environmental data acquisition unit and a main sensor acquisition unit. The environmental data acquisition unit includes a temperature data acquisition unit, a humidity data acquisition unit, a pressure data acquisition unit, and a pollutant concentration acquisition unit. The temperature data acquisition unit acquires temperature data by connecting to a temperature sensor and forms a temperature data set with multiple temperature data WDsj. The humidity data acquisition unit acquires humidity data by connecting to a humidity sensor and forms a humidity data set with multiple humidity data SDsj. The pressure data acquisition unit acquires pressure data by connecting to an air pressure sensor and forms an air pressure data set with multiple air pressure data QYsj. The pollutant concentration acquisition unit acquires pollution degree data by connecting to a gas analyzer and forms a pollution degree data set with multiple pollution degree data WRsj. The environmental data acquisition unit sends the acquired data set to the data analysis and processing module.

[0043] The expression of the temperature data set is: {WDsj1, WDsj2, WDsj3, ···, WDsj n};

[0044] The humidity dataset is expressed as: {SDsj1, SDsj2, SDsj3, ···, SDsj n};

[0045] The expression of the air pressure dataset is: {QYsj1, QYsj2, QYsj3, ···, QYsj n};

[0046] The pollution degree dataset is expressed as: {WRsj1, WRsj2, WRsj3, ···, WRsj n};

[0047] The corresponding data in the temperature dataset, humidity dataset, air pressure dataset, and pollution dataset are collected once every half hour, and the collection time points of each dataset are consistent. WDsj1, SDsj1, SDsj1, and WRsj1 are the first data in the temperature dataset, humidity dataset, air pressure dataset, and pollution dataset, respectively. n 、SDsj n 、SDsj n WRsj n They are the last data in the temperature dataset, humidity dataset, air pressure dataset, and pollution dataset respectively. n means there are n data in the dataset.

[0048] The main sensor acquisition unit collects the main monitoring data by connecting to the main sensor system, and forms the main monitoring data set and sends it to the data analysis and processing module;

[0049] The expression of the main monitoring data set is: {Hk, Hq, Hs, Hz, Hn, Ht};

[0050] Among them, Hk represents the air data in the main monitoring data set, Hq represents meteorological data, Hs represents water quality data, Hz represents noise data, Hn represents energy consumption data, and Ht represents soil data;

[0051] The data analysis and processing module calculates the temperature impact index WDzs, humidity impact index SDzs, pressure impact index QYzs, and pollution impact index WRzs based on the temperature data set, humidity data set, air pressure data set, and pollution data set respectively with the main monitoring data collection;

[0052] The calculation formula of temperature impact index WDzs is as follows:

[0053]

[0054] The calculation formula of humidity impact index SDzs is as follows:

[0055]

[0056] The calculation formula of the air pressure influence index QYzs is as follows:

[0057]

[0058] The calculation formula of pollution impact index WRzs is as follows:

[0059]

[0060] In the above formula, SDsj max Represents the largest data in the temperature dataset, WDsj min Represents the smallest data in the temperature data set, WDsj max -WDsj min Represents the difference between the maximum and minimum data in the temperature data set, SDsj max Represents the largest data in the humidity dataset, SDsj min Represents the smallest data in the humidity dataset, SDsj max -SDsj min Represents the difference between the maximum and minimum data in the humidity dataset, QYsj max Represents the largest data in the air pressure dataset, QYsj min Represents the smallest data in the air pressure data set, QYsj max -QYsj min Represents the difference between the maximum and minimum data in the air pressure dataset, WRsj max Represents the largest data in the pollution dataset, WRsj min Represents the smallest data in the pollution dataset, WRsj max -WRsj min represents the difference between the maximum and minimum data in the pollution degree dataset, Hk+Hq+Hs+Hz+Hn+Ht represents the sum of the data in the main monitoring datasets, and the sum of the data in the main monitoring datasets is divided by the difference between the maximum and minimum data in the temperature dataset, the difference in the humidity dataset, the difference between the maximum and minimum data in the air pressure dataset, and the difference between the maximum and minimum data in the air pressure dataset, namely the temperature influence index WDzs, the humidity influence index SDzs, the air pressure influence index QYzs, and the pollution degree influence index WRzs;

[0061] By collecting temperature, humidity, air pressure, and pollution data sets, and then using temperature, humidity, air pressure, and pollution levels as reference factors, we can fully consider the impact of these environmental factors on the intelligent environmental monitoring and management system. We can then optimize the intelligent environmental monitoring and management system based on these factors, evaluate their specific impact on sensor accuracy, and take corresponding corrective measures to improve the accuracy of monitoring data, significantly improve monitoring accuracy, optimize system performance, enhance system adaptability, and improve user experience.

[0062] The data analysis and processing module is preset with temperature impact threshold WDyz, humidity impact threshold SDyz, air pressure impact threshold QYyz, and pollution impact threshold WRyz. The data analysis and processing module compares the temperature impact index WDzs, humidity impact index SDzs, air pressure impact index QYzs, and pollution impact index WRzs with the corresponding thresholds to determine whether the corresponding environmental factors will affect the main monitoring data. If an impact occurs, the corresponding abnormal signal will be sent to the data adjustment and compensation module and the early warning and alarm module;

[0063] When the temperature influence index WDzs is greater than the temperature influence threshold WDyz, it means that the temperature factor will affect the main monitoring data. When the humidity influence index SDzs is greater than the humidity influence threshold SDyz, it means that the humidity factor will affect the main monitoring data. When the air pressure influence index QYzs is greater than the air pressure influence threshold QYyz, it means that the air pressure factor will affect the main monitoring data. When the pollution influence index WRzs is greater than the pollution influence threshold WRyz, it means that the pollutant concentration will affect the main monitoring data. The data analysis and processing module sends the above abnormal signal to the data adjustment and compensation module;

[0064] The data adjustment and compensation module calculates the real-time environmental impact value YXss based on the temperature impact index WDzs, humidity impact index SDzs, air pressure impact index QYzs, pollution impact index WRzs and real-time data;

[0065] The calculation formula of the real-time environmental impact value YXss is as follows:

[0066] YXss=WDzs×WDzs s +SDzs×SDzs s +QYzs×QYzs s +WRzs×WRzs s

[0067] In the above formula, WDzs s Represents real-time temperature data, SDzs s Represents real-time humidity data, QYzs s Represents real-time air pressure data, WRzss Represents real-time pollution data;

[0068] The data adjustment compensation module calculates the compensation data group BCsjz according to the real-time impact value YXss and the real-time impact value;

[0069] The calculation formula of the compensation data group BCsjz is as follows:

[0070]

[0071] In the above formula, Hk b 、Hq b , Hs b , Hz b 、Hn b 、Ht b They represent the compensated air data, meteorological data, water quality data, noise data, energy consumption data and soil data in the main monitoring data, respectively. y 、Hq y , Hs y , Hz y , Hz y 、Ht y They represent the original air data, meteorological data, water quality data, noise data, energy consumption data and soil data in the main monitoring data respectively;

[0072] The data adjustment and compensation module sends the calculated compensation data group BCsjz to the display module, and the display module displays the main monitoring data by connecting to the display screen;

[0073] By calculating the temperature impact index WDzs, humidity impact index SDzs, air pressure impact index QYzs, and pollution impact index WRzs, and then comparing them with the corresponding thresholds, corresponding data compensation is performed when the thresholds are exceeded, effectively reducing errors and improving data accuracy, thereby providing users with more accurate information, helping them better understand environmental conditions and make reasonable decisions.

[0074] While embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that various changes, modifications, substitutions, and variations may be made to these embodiments without departing from the principles and spirit of the invention, and that the scope of the invention is defined by the appended claims and their equivalents.

Claims

1. Intelligent environmental monitoring and management system, characterized by: It includes data acquisition module, data analysis and processing module, data adjustment and compensation module, early warning module and display module; The data acquisition module includes an environmental data acquisition unit and a main sensor acquisition unit. The environmental data acquisition unit includes a temperature data acquisition unit, a humidity data acquisition unit, a pressure data acquisition unit, and a pollutant concentration acquisition unit. The temperature data acquisition unit acquires temperature data by connecting to a temperature sensor and forms a temperature data set with multiple temperature data WDsj. The humidity data acquisition unit acquires humidity data by connecting to a humidity sensor and forms a humidity data set with multiple humidity data SDsj. The pressure data acquisition unit acquires pressure data by connecting to an air pressure sensor and forms an air pressure data set with multiple air pressure data QYsj. The pollutant concentration acquisition unit acquires pollution degree data by connecting to a gas analyzer and forms a pollution degree data set with multiple pollution degree data WRsj. The environmental data acquisition unit sends the acquired data sets to the data analysis and processing module. The main sensor acquisition unit collects the main monitoring data by connecting to the main sensor system, and forms a main monitoring data set and sends it to the data analysis and processing module; The data analysis and processing module calculates the temperature impact index WDzs, humidity impact index SDzs, pressure impact index QYzs and pollution degree impact index WRzs according to the temperature data set, humidity data set, air pressure data set and pollution data set respectively with the main monitoring data collection; The data analysis and processing module is preset with a temperature impact threshold WDyz, a humidity impact threshold SDyz, an air pressure impact threshold QYyz, and a pollution level impact threshold WRyz. The data analysis and processing module compares the temperature impact index WDzs, the humidity impact index SDzs, the air pressure impact index QYzs, and the pollution level impact index WRzs with the corresponding thresholds to determine whether the corresponding environmental factors will affect the main monitoring data. If an impact occurs, a corresponding abnormal signal is sent to the data adjustment and compensation module and the early warning and alarm module; The data adjustment and compensation module calculates the real-time environmental impact value YXss according to the temperature impact index WQDzs, humidity impact index SDzs, air pressure impact index QYzs and pollution impact index WRzs and the real-time data; The data adjustment and compensation module calculates the compensation data group BCsjz according to the real-time impact value YXss and the real-time impact value; The data adjustment and compensation module sends the calculated compensation data group BCsjz to the display module, and the display module displays the main monitoring data by connecting to the display screen.

2. The intelligent environment monitoring and management system according to claim 1, characterized in that: The expression of the temperature data set is: {WDsj1, WDsj2, WDsj3, . . . , WDsj n }, the humidity data set is expressed as: {SDsj1, SDsj2, SDsj3, ···, SDsj n }, the pressure data set is expressed as: {QYsj1, QYsj2, QYsj3, . . . , QYsj n }, the pollution degree dataset is expressed as: {WRsj1, WRsj2, WRsj3, . . . , WRsj n The corresponding data in the temperature dataset, humidity dataset, air pressure dataset, and pollution dataset are collected once every half hour, and the collection time of each dataset is consistent. WDsj1, SDsj1, SDsj1, and WRsj1 are the first data in the temperature dataset, humidity dataset, air pressure dataset, and pollution dataset, respectively. n 、SDsj n 、SDsj n WRsj n They are respectively the temperature dataset, humidity dataset, air pressure dataset and the last data in the pollution dataset. n means there are n data in the dataset.

3. The intelligent environment monitoring and management system according to claim 2, characterized in that: The expression of the main monitoring data set is: {Hk, Hq, Hs, Hz, Hn, Ht}, where Hk represents the air data in the main monitoring data set, Hq represents meteorological data, Hs represents water quality data, Hz represents noise data, Hn represents energy consumption data, and Ht represents soil data.

4. The intelligent environment monitoring and management system according to claim 3, characterized in that: The calculation formula of the temperature influence index WDzs is as follows: In the above formula, WDsj max Represents the largest data in the temperature dataset, WDsj min Represents the smallest data in the temperature data set, WDsj max -WDsj min It represents the difference between the maximum and minimum data in the temperature dataset. Hk+Hq+Hs+Hz+Hn+Ht represents the sum of the data in the main monitoring dataset. The temperature impact index WDzs is obtained by dividing the sum of the data in the main monitoring dataset by the difference between the maximum and minimum data in the temperature dataset.

5. The intelligent environment monitoring and management system according to claim 4, characterized in that: The calculation formula of the humidity impact index SDzs is as follows: In the above formula, SDsj max Represents the largest data in the humidity dataset, SDsj min Represents the smallest data in the humidity dataset, SDsj max -SDsj min It represents the difference between the maximum and minimum data in the humidity dataset. Hk+Hq+Hs+Hz+Hn+Ht represents the sum of the data in the main monitoring dataset. The humidity impact index SDzs is obtained by dividing the sum of the data in the main monitoring dataset by the difference between the maximum and minimum data in the humidity dataset.

6. The intelligent environment monitoring and management system according to claim 5, characterized in that: The calculation formula of the air pressure influence index QYzs is as follows: In the above formula, QYsj max Represents the largest data in the air pressure dataset, QYsj min Represents the smallest data in the air pressure data set, QYsj max -QYsj min It represents the difference between the maximum and minimum data in the air pressure dataset. Hk+Hq+Hs+Hz+Hn+Ht represents the sum of the data in the main monitoring dataset. The pressure impact index QYzs is obtained by dividing the sum of the data in the main monitoring dataset by the difference between the maximum and minimum data in the air pressure dataset.

7. The intelligent environment monitoring and management system according to claim 6, characterized in that: The calculation formula of the pollution impact index WRzs is as follows: In the above formula, WRsj max Represents the largest data in the pollution dataset, WRsj min Represents the smallest data in the pollution dataset, WRsj max -WRsj min It represents the difference between the maximum and minimum data in the pollution data set. Hk+Hq+Hs+Hz+Hn+Ht represents the sum of the data in the main monitoring data set. The pollution impact index WRzs is obtained by dividing the sum of the data in the main monitoring data set by the difference between the maximum and minimum data in the air pressure data set.

8. The intelligent environment monitoring and management system according to claim 7, characterized in that: When the temperature influence index WDzs is greater than the temperature influence threshold WDyz, it means that the temperature factor will affect the main monitoring data; when the humidity influence index SDzs is greater than the humidity influence threshold SDyz, it means that the humidity factor will affect the main monitoring data; when the air pressure influence index QYzs is greater than the air pressure influence threshold QYyz, it means that the air pressure factor will affect the main monitoring data; when the pollution influence index WRzs is greater than the pollution influence threshold WRyz, it means that the pollutant concentration will affect the main monitoring data. The data analysis and processing module sends the above-mentioned abnormal signal to the data adjustment and compensation module.

9. The intelligent environment monitoring and management system according to claim 8, characterized in that: The calculation formula of the real-time environmental impact value YXss is as follows: YXss=WDzs×WDzs s +SDzs×SDzs s +QYzs×QYzs s +WRzs×WRzs s In the above formula, WDzs s Represents real-time temperature data, SDzs s Represents real-time humidity data, QYzs s Represents real-time air pressure data, WRzs s Represents real-time pollution data.

10. The intelligent environment monitoring and management system according to claim 9, characterized in that: The calculation formula of the compensation data set BCsjz is as follows: In the above formula, Hk b 、Hq b , Hs b , Hz b 、Hn b 、Ht b They represent the compensated air data, meteorological data, water quality data, noise data, energy consumption data and soil data in the main monitoring data, respectively. y 、Hq y , Hs y , Hz y , Hz y 、Ht y They represent the original air data, meteorological data, water quality data, noise data, energy consumption data and soil data in the main monitoring data respectively.

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