Intelligent environment monitoring method and system based on wireless MEMS sensor

Abstract

The invention provides an intelligent environment monitoring method and system based on a wireless MEMS sensor. The method comprises the following steps: collecting data; performing comprehensive evaluation; and feeding back a result. According to the invention, the preset influence factors of the environment to be monitored are monitored in real time through the preset MEMS sensor, then the initial sensor data are obtained, and the sensor data obtained by preprocessing the initial sensor data are visualized; performing factor evaluation on the to-be-monitored environment according to the collected sensor data to obtain a comprehensive data evaluation index, performing comparative analysis on the comprehensive data evaluation index and a corresponding threshold to obtain a first monitoring result, and if the first monitoring result meets a preset requirement, determining that the to-be-monitored environment reaches the standard, and if the first monitoring result does not meet the preset requirement, determining that the to-be-monitored environment reaches the standard. Otherwise, the first monitoring result is fed back to the preset professional, the effect of improving the intelligent environment monitoring efficiency is achieved, and the problem that in the prior art, the intelligent environment monitoring efficiency is low is solved.

Description

Technical Field

[0001] The present invention relates to the technical field of intelligent environment monitoring, and in particular to an intelligent environment monitoring method and system based on a wireless MEMS sensor. Background Art

[0002] With the development of Microelectro Mechanical System (MEMS), MEMS products are gradually applied to new fields such as the Internet of Things and wearable devices. MEMS is a micro device or system that integrates sensors, actuators, mechanical mechanisms, signal processing and control circuits using semiconductor manufacturing processes and materials. It generally includes sensors and actuators. MEMS sensors have the advantages of small size, integration, intelligence, and low cost, which can meet the requirements of sensors in the era of the Internet of Things. Environmental monitoring refers to the activities of environmental monitoring agencies to monitor and measure environmental quality. Environmental monitoring is to monitor and measure indicators that reflect environmental quality to determine the level of environmental pollution and environmental quality. The content of environmental monitoring mainly includes the monitoring of physical indicators, the monitoring of chemical indicators, and the monitoring of ecosystems.

[0003] Existing environmental monitoring technologies include various sensors, monitoring equipment and data analysis methods, which are used to monitor environmental indicators in the atmosphere, water, soil and biodiversity. Environmental monitoring is to track changes in environmental quality and determine the level of environmental quality by detecting the content and emissions of various substances that have an impact on humans and the environment, providing a basis and guarantee for environmental management, pollution control and other work. Understanding the environmental level and conducting environmental monitoring are the prerequisites for carrying out all environmental work.

[0004] CN116202571A discloses a construction site environment monitoring system, including an intelligent terminal, a remote control terminal, a management module, an environment monitoring module, a safety monitoring module, a control processing module, a display module and a dust removal module, which specifically includes monitoring the construction environment of the construction site through the environment monitoring module and transmitting the data to the management module; monitoring the placement of goods in the construction site through the safety monitoring module and transmitting the data to the management module; transmitting the data to the intelligent terminal, the display module and the control processing module through the management module; saving the data through the intelligent terminal and transmitting the data to the remote control terminal; displaying the data through the display screen in the display module to facilitate workers to understand the construction environment; processing the data through the control processing module and transmitting the processed information back to the management module; the management module controls the dust removal module through the data transmitted back by the control processing module; performing dust removal work through the dust removal module; reading the data information of the intelligent terminal through the remote control terminal to facilitate remote monitoring personnel to remotely control the construction situation.

[0005] CN108627196B discloses an environmental monitoring system, comprising: a loading box, comprising a shell, a wireless communication module, a camera and a sensor, wherein the sensor, the camera and the wireless communication module are arranged in the loading box and coupled to the loading box; a carrying unit, comprising a guide rail and a carrying mechanism, wherein the guide rail is arranged in the clean room, the carrying mechanism comprises a lifting arm for picking up the loading box and carrying the loading box along the guide rail, the sensor senses as the loading box moves in the clean room to generate a plurality of sensing information; a processor, coupled to the wireless communication module, the loading box transmits the sensing information to the processor through a wireless communication protocol; and a plurality of loading box storage stations, respectively arranged at the positions and used to provide the corresponding plurality of position information and store the loading boxes.

[0006] However, in the process of implementing the technical solution of the present invention, the present invention finds that the above technology has at least the following technical problems:

[0007] In the prior art, environmental monitoring usually requires technicians to manually move various sensors to the monitoring site for measurement, or to cover the entire monitoring site with multiple sensors. In addition, the results measured by these sensors must be manually uploaded to the database for calculation and processing, resulting in low efficiency of environmental monitoring. Summary of the invention

[0008] The embodiments of the present invention provide an intelligent environment monitoring method and system based on a wireless MEMS sensor, thereby solving the problem of low efficiency of environment monitoring in the prior art and improving the efficiency of environment monitoring.

[0009] An intelligent environment monitoring method based on wireless MEMS sensors comprises the following steps:

[0010] S1, obtaining initial sensor data by real-time monitoring of preset influencing factors of a monitored environment through a preset MEMS sensor, and visualizing sensor data obtained by preprocessing the initial sensor data, wherein the preset influencing factors include atmosphere, light and soil, and the sensor data includes atmosphere data, light data and soil data;

[0011] S2, evaluating factors of the monitored environment according to the collected sensor data to obtain a comprehensive data evaluation index, wherein the comprehensive data evaluation index is used to comprehensively describe the atmospheric evaluation results, light evaluation results, and soil evaluation results of the monitored environment within a preset time interval;

[0012] S3, comparing and analyzing the comprehensive data evaluation index with the corresponding threshold value to obtain a first monitoring result. If the first monitoring result meets the preset requirements, it indicates that the monitored environment meets the standards. Otherwise, the first monitoring result is fed back to the preset professional personnel.

[0013] Optionally, the visualization is used to obtain an environmental visualization curve, which includes an atmosphere visualization curve, a light visualization curve and a soil visualization curve; the atmosphere visualization curve is a curve of the changing relationship between the acquired atmosphere data of the monitored environment and the corresponding preset time interval; the light visualization curve is a curve of the changing relationship between the acquired light data of the monitored environment and the corresponding preset time interval; the soil visualization curve is a curve of the changing relationship between the acquired soil data of the monitored environment and the corresponding preset time interval.

[0014] Optionally, the specific method for obtaining the comprehensive data evaluation index is as follows: by analyzing the obtained sensors, the atmospheric data evaluation index, the illumination data evaluation index and the soil data evaluation index of the environment to be monitored are obtained, and the corresponding thresholds and reference deviations are obtained, wherein the atmospheric data evaluation index is used to describe the atmospheric conditions of the environment to be monitored, the illumination data evaluation index is used to describe the illumination conditions of the environment to be monitored, and the soil data evaluation index is used to describe the soil conditions of the environment to be monitored; the comprehensive data evaluation index of the environment to be monitored is calculated based on the acquired data, and the comprehensive data evaluation index is calculated using the following formula:

[0015]

[0016] In the formula, e represents a natural constant, m represents the number of the environment to be monitored, m = 1, 2, ..., M, M is the total number of environments to be monitored, ZH m is the comprehensive data evaluation index of the mth monitored environment, DQ m is the atmospheric data evaluation index of the mth monitored environment, DQ0 is the threshold of the atmospheric data evaluation index, ΔDQ is the reference deviation of the atmospheric data evaluation index, GZ m is the illumination data evaluation index of the mth monitored environment, GZ0 is the threshold of the illumination data evaluation index, ΔGZ is the reference deviation of the illumination data evaluation index, TR m is the soil data evaluation index of the mth monitored environment, TR0 is the threshold of the soil data evaluation index, ΔTR is the reference deviation of the soil data evaluation index, and ε0 is the reference relative deviation of the atmospheric data evaluation index.

[0017] Optionally, a specific method for obtaining the atmospheric assessment result is as follows: extracting initial carbon dioxide concentration data from the atmospheric data of the monitored environment, and using a preset carbon dioxide concentration influencing factor to correct the initial carbon dioxide concentration data to obtain the carbon dioxide concentration; comparing the corrected carbon dioxide concentration with the reference carbon dioxide concentration, and analyzing the obtained atmospheric visualization curve and the atmospheric pollutant concentration to obtain an atmospheric data assessment index, wherein the atmospheric pollutant concentration includes carbon monoxide concentration, sulfur dioxide concentration, nitric oxide concentration and nitrogen dioxide concentration; comparing the obtained atmospheric data assessment index with the corresponding reference threshold to obtain the atmospheric assessment result of the monitored environment within a preset time interval; if the preset atmospheric reference threshold is met, it indicates that the atmospheric conditions of the monitored environment meet the standards; otherwise, the atmospheric assessment result is fed back to the preset professional personnel.

[0018] Optionally, the specific method for obtaining the lighting evaluation result is as follows: comparing the lighting data of the monitored environment within a preset time interval with the reference lighting data, and analyzing in combination with the lighting visualization curve to obtain a lighting data evaluation index; comparing the obtained lighting data evaluation index with the corresponding reference threshold to obtain the lighting evaluation result of the monitored environment within the preset time interval; if the preset lighting reference threshold is met, it indicates that the lighting condition of the monitored environment meets the standard; otherwise, the lighting evaluation result is fed back to the preset professional personnel.

[0019] Optionally, the specific method for obtaining the soil assessment result is as follows: extracting initial soil respiration data from the acquired soil data of the monitored environment, and using preset soil respiration influencing factors to correct the initial soil respiration data to obtain soil respiration; comparing the corrected soil respiration with the reference soil respiration, and combining the acquired soil visualization curve and soil enzyme activity, soil physical data and soil chemical data to analyze to obtain a soil data assessment index, wherein the soil physical data is represented by soil water content, and the soil chemical data is represented by soil organic carbon content; comparing the acquired soil data assessment index with the corresponding reference threshold to obtain the soil assessment result of the monitored environment within a preset time interval, if the preset soil reference threshold is met, it indicates that the soil condition of the monitored environment meets the standard, otherwise the soil assessment result is fed back to the preset professional personnel.

[0020] Optionally, the specific method for obtaining the atmospheric data evaluation index is as follows: obtaining the carbon dioxide concentration and atmospheric pollutant concentration of the monitored environment from the atmospheric data of the monitored environment obtained within a preset time interval; obtaining the atmospheric data evaluation index based on the obtained carbon dioxide concentration and atmospheric pollutant concentration, and combining the atmospheric pollutant weights, the atmospheric pollutant weights are used to describe the degree of influence of the atmospheric pollutant concentration on the atmospheric data evaluation index, and the atmospheric pollutant weights include carbon monoxide weight, carbon dioxide weight, sulfur dioxide weight, nitric oxide weight and nitrogen dioxide weight.

[0021] Optionally, the specific method for obtaining the illumination data evaluation index is as follows: obtaining illumination radiation data and illumination basic data of the monitored environment from illumination data of the monitored environment within a preset time interval, wherein the illumination radiation data includes direct radiation data and scattered radiation data, and the illumination basic data includes sunshine hours and illuminance; calculating the illumination data evaluation index based on the acquired illumination radiation data and illumination basic data, and in combination with illumination radiation weight and illumination basic weight, wherein the illumination radiation weight is used to describe the degree of influence of illumination radiation data on the illumination data evaluation index, and the illumination basic weight is used to describe the degree of influence of illumination basic data on the illumination data evaluation index, and the illumination data evaluation index is calculated using the following formula:

[0022]

[0023] In the formula, ZJ m is the direct radiation data of the mth environment to be monitored, is the reference direct radiation data of the mth monitored environment, ΔZJ is the reference direct radiation data deviation, SS m is the scattered radiation data of the mth environment to be monitored, is the reference scattered radiation data of the mth monitored environment, ΔSS is the reference scattered radiation data deviation, RT m is the sunshine hours of the mth environment to be monitored, is the reference sunshine hours of the mth monitored environment, Q m is the illumination of the mth environment to be monitored, is the reference illuminance of the mth monitored environment, b1 is the light radiation weight, b2 is the light basic weight, and β0 is the reference relative deviation of the direct radiation data.

[0024] Optionally, the specific method for obtaining the soil data evaluation index is as follows: obtaining soil respiration, soil enzyme activity, soil physical data and soil chemical data of the monitored environment from the soil data of the monitored environment within a preset time interval; calculating the soil data evaluation index based on the acquired data and in combination with the soil respiration weight, soil enzyme activity weight, soil physical weight and soil chemical weight, wherein the soil respiration weight is used to describe the influence of soil respiration on the soil data evaluation index, the soil enzyme activity weight is used to describe the influence of soil enzyme activity on the soil data evaluation index, the soil physical weight is used to describe the influence of soil physical data on the soil data evaluation index, and the soil chemical weight is used to describe the influence of soil chemical weight on the soil data evaluation index. The soil data evaluation index is calculated using the following formula:

[0025]

[0026] In the formula, S m is the soil moisture content of the mth monitored environment, is the reference soil moisture content of the mth monitored environment, ΔS is the reference soil moisture content deviation, X m is the soil respiration of the mth monitored environment, is the reference soil respiration of the mth monitored environment, ΔX is the reference soil respiration deviation, T m is the soil enzyme activity of the mth monitored environment, is the reference soil enzyme activity of the mth monitored environment, ΔT is the reference soil enzyme activity deviation, C m is the soil organic carbon content of the mth monitored environment, is the reference soil organic carbon content of the mth monitored environment, ΔC is the reference soil organic carbon content deviation, c1 is the soil physical weight, c2 is the soil respiration weight, c3 is the soil enzyme activity weight, and c4 is the soil chemical weight.

[0027] An embodiment of the present invention provides an intelligent environment monitoring system based on a wireless MEMS sensor, wherein the intelligent environment monitoring system based on the wireless MEMS sensor includes a data acquisition module, a comprehensive evaluation module and a result feedback module; wherein the data acquisition module is used to monitor preset influencing factors of a monitored environment in real time through a preset MEMS sensor, obtain initial sensor data, and visualize sensor data obtained by preprocessing the initial sensor data, wherein the preset influencing factors include atmosphere, light and soil, and the sensor data includes atmosphere data, light data and soil data; the comprehensive evaluation module is used to evaluate factors of the monitored environment according to the collected sensor data to obtain a comprehensive data evaluation index, wherein the comprehensive data evaluation index is used to comprehensively describe the atmosphere evaluation result, light evaluation result and soil evaluation result of the monitored environment within a preset time interval; the result feedback module is used to compare and analyze the comprehensive data evaluation index with a corresponding threshold value to obtain a first monitoring result, and if the first monitoring result meets the preset requirements, it indicates that the monitored environment meets the standards, otherwise the first monitoring result is fed back to the preset professional personnel.

[0028] The above technical solution provided by the present invention has at least the following technical effects compared with the prior art:

[0029] In the above scheme, preset influencing factors of the monitored environment are monitored in real time through preset MEMS sensors, and then initial sensor data is obtained, and the sensor data obtained by preprocessing the initial sensor data is visualized, and then the factors of the monitored environment are evaluated according to the collected sensor data to obtain a comprehensive data evaluation index, and finally the comprehensive data evaluation index is compared and analyzed with the corresponding threshold to obtain the first monitoring result, thereby realizing real-time monitoring of the monitored environment, and then realizing the improvement of environmental monitoring efficiency, and effectively solving the problem of low environmental monitoring efficiency in the prior art.

[0030] By obtaining the light radiation data and basic light data of the environment to be monitored within a preset time interval from the light data of the environment to be monitored, and then calculating the light data evaluation index based on the obtained light radiation data and basic light data in combination with the light radiation weight and the basic light weight, and finally evaluating the light condition of the environment to be monitored by the calculated light data evaluation index, the light condition of the environment to be monitored is quantified, thereby achieving a more accurate evaluation of the light condition of the environment to be monitored.

[0031] The soil respiration, soil enzyme activity, soil physical data and soil chemical data of the monitored environment within a preset time interval are obtained from the soil data of the monitored environment. Then, based on the obtained soil respiration, soil enzyme activity, soil physical data and soil chemical data, and in combination with the soil respiration weight, soil enzyme activity weight, soil physical weight and soil chemical weight, a soil data evaluation index is calculated. Finally, the soil condition of the monitored environment is evaluated by the calculated soil data evaluation index, thereby realizing the digitization of the soil condition of the monitored environment, and further realizing a more accurate evaluation of the soil condition of the monitored environment. BRIEF DESCRIPTION OF THE DRAWINGS

[0032] Figure 1 A flow chart of an intelligent environment monitoring method based on a wireless MEMS sensor provided by an embodiment of the present invention;

[0033] Figure 2 A conceptual diagram of an environment visualization curve provided by an embodiment of the present invention;

[0034] Figure 3 A schematic structural diagram of an intelligent environment monitoring system based on a wireless MEMS sensor provided in an embodiment of the present invention. DETAILED DESCRIPTION

[0035] The embodiment of the present invention solves the problem of low efficiency of environmental monitoring in the prior art by providing an intelligent environmental monitoring method and system based on wireless MEMS sensors. The preset influencing factors of the monitored environment are monitored in real time by a preset MEMS sensor to obtain initial sensor data, and the sensor data obtained by preprocessing the initial sensor data is visualized. Then, the factors of the monitored environment are evaluated according to the collected sensor data to obtain a comprehensive data evaluation index. Finally, the comprehensive data evaluation index is compared and analyzed with the corresponding threshold to obtain a first monitoring result. If the first monitoring result meets the preset requirements, it indicates that the monitored environment meets the standards. Otherwise, the first monitoring result is fed back to the preset professional personnel, thereby improving the efficiency of environmental monitoring.

[0036] The technical solution in the embodiment of the present invention is to solve the problem of low efficiency of environmental monitoring, and the overall idea is as follows:

[0037] The preset influencing factors of the monitored environment are monitored in real time by preset MEMS sensors, and then the initial sensor data is obtained, and the sensor data obtained by preprocessing the initial sensor data is visualized. Then, the factors of the monitored environment are evaluated according to the collected sensor data to obtain a comprehensive data evaluation index. Finally, the comprehensive data evaluation index is compared and analyzed with the corresponding threshold to obtain the first monitoring result, thereby improving the efficiency of environmental monitoring.

[0038] In order to better understand the above technical solution, the above technical solution will be described in detail below in conjunction with the accompanying drawings and specific implementation methods.

[0039] like Figure 1 As shown, a flow chart of an intelligent environment monitoring method based on a wireless MEMS sensor provided by an embodiment of the present invention includes the following steps:

[0040] S1, data acquisition, real-time monitoring of preset influencing factors of the monitored environment by preset MEMS sensors to obtain initial sensor data, and visualizing the sensor data obtained by preprocessing the initial sensor data. The preset influencing factors include atmosphere, light and soil, and the sensor data includes atmosphere data, light data and soil data;

[0041] S2, comprehensive evaluation, evaluates the factors of the monitored environment based on the collected sensor data to obtain a comprehensive data evaluation index, which is used to comprehensively describe the atmospheric evaluation results, light evaluation results and soil evaluation results of the monitored environment within a preset time interval;

[0042] S3, result feedback, compare and analyze the comprehensive data evaluation index with the corresponding threshold to obtain the first monitoring result. If the first monitoring result meets the preset requirements, it indicates that the monitored environment meets the standards. Otherwise, the first monitoring result is fed back to the preset professional personnel.

[0043] In this embodiment, the monitoring efficiency of the environment to be monitored is improved.

[0044] like Figure 2 As shown, it is a conceptual diagram of the environment visualization curve provided by an embodiment of the present invention. The visualization is used to obtain the environment visualization curve, and the environment visualization curve includes an atmosphere visualization curve, a light visualization curve and a soil visualization curve. The atmosphere visualization curve is a curve of the change relationship between the obtained atmosphere data of the monitored environment and the corresponding preset time interval; the light visualization curve is a curve of the change relationship between the obtained light data of the monitored environment and the corresponding preset time interval; the soil visualization curve is a curve of the change relationship between the obtained soil data of the monitored environment and the corresponding preset time interval.

[0045] In this embodiment, visualization of sensor data is achieved.

[0046] Optionally, a specific method for obtaining the comprehensive data evaluation index is as follows: by analyzing the obtained sensors, an atmospheric data evaluation index, a light data evaluation index and a soil data evaluation index of the environment to be monitored are obtained, and corresponding thresholds and reference deviations are obtained, wherein the atmospheric data evaluation index is used to describe the atmospheric conditions of the environment to be monitored, the light data evaluation index is used to describe the light conditions of the environment to be monitored, and the soil data evaluation index is used to describe the soil conditions of the environment to be monitored; the comprehensive data evaluation index of the environment to be monitored is calculated based on the obtained data, and the comprehensive data evaluation index describes the comprehensive evaluation results. In addition to being directly obtained through ECI, the comprehensive evaluation results can also be more accurately calculated through the following formula, and the comprehensive data evaluation index is calculated using the following formula:

[0047]

[0048] In the formula, e represents a natural constant, m represents the number of the environment to be monitored, m = 1, 2, ..., M, M is the total number of environments to be monitored, ZH m is the comprehensive data evaluation index of the mth monitored environment, DQ m is the atmospheric data evaluation index of the mth monitored environment, DQ0 is the threshold of the atmospheric data evaluation index, ΔDQ is the reference deviation of the atmospheric data evaluation index, GZ m is the illumination data evaluation index of the mth monitored environment, GZ0 is the threshold of the illumination data evaluation index, ΔGZ is the reference deviation of the illumination data evaluation index, TR m is the soil data evaluation index of the mth monitored environment, TR0 is the threshold of the soil data evaluation index, ΔTR is the reference deviation of the soil data evaluation index, and ε0 is the reference relative deviation of the atmospheric data evaluation index.

[0049] In this embodiment, a numerical evaluation of the comprehensive evaluation results of the environment to be monitored is achieved.

[0050] Optionally, a specific method for obtaining the atmospheric assessment results is as follows: extracting initial carbon dioxide concentration data from the atmospheric data of the monitored environment, and using a preset carbon dioxide concentration influencing factor to correct the initial carbon dioxide concentration data to obtain the carbon dioxide concentration; comparing the corrected carbon dioxide concentration with the reference carbon dioxide concentration, and combining the acquired atmospheric visualization curve and the atmospheric pollutant concentration for analysis to obtain an atmospheric data assessment index, where the atmospheric pollutant concentration includes carbon monoxide concentration, sulfur dioxide concentration, nitric oxide concentration and nitrogen dioxide concentration; comparing the acquired atmospheric data assessment index with the corresponding reference threshold to obtain the atmospheric assessment result of the monitored environment within a preset time interval. If the preset atmospheric reference threshold is met, it indicates that the atmospheric conditions of the monitored environment meet the standards. Otherwise, the atmospheric assessment result is fed back to the preset professional personnel.

[0051] In this embodiment, the preset factors affecting the carbon dioxide concentration include human activities, plant respiration, seasonal changes, ocean absorption, geological effects and climate change; human activities are one of the main reasons for the increase in carbon dioxide concentration. The burning of fossil fuels, deforestation and land use changes will release a large amount of carbon dioxide into the atmosphere; plant respiration: plants release carbon dioxide through respiration; seasonal changes: seasonal changes will affect the carbon dioxide concentration. In spring and summer, plants grow vigorously and absorb a large amount of carbon dioxide, resulting in a low carbon dioxide concentration in the atmosphere. In autumn and winter, plants wither, die or hibernate, and the released carbon dioxide will increase the carbon dioxide concentration in the atmosphere; ocean absorption: the ocean is one of the largest carbon dioxide reservoirs on the earth. The carbon dioxide dissolved in seawater can affect the carbon dioxide concentration in the atmosphere. The organisms in the ocean also absorb carbon dioxide through photosynthesis, thereby affecting the carbon dioxide concentration in the atmosphere; geological effects: geological effects inside the earth will also release carbon dioxide into the atmosphere, such as volcanic eruptions and underground magma activities; climate change: climate change also affects the carbon dioxide concentration. Climate warming will cause glaciers to melt and vegetation to wither, releasing more carbon dioxide into the atmosphere; a specific assessment of the atmospheric conditions of the monitored environment is achieved.

[0052] Optionally, a specific method for obtaining the lighting evaluation result is as follows: comparing the lighting data of the monitored environment within a preset time interval with the reference lighting data, and analyzing it in combination with the lighting visualization curve to obtain a lighting data evaluation index; comparing the obtained lighting data evaluation index with the corresponding reference threshold to obtain the lighting evaluation result of the monitored environment within the preset time interval; if the preset lighting reference threshold is met, it indicates that the lighting condition of the monitored environment meets the standard; otherwise, the lighting evaluation result is fed back to the preset professional personnel.

[0053] In this embodiment, illumination refers to the distribution and changes of solar radiation on the earth's surface; a specific evaluation of the illumination conditions of the environment to be monitored is achieved.

[0054] Optionally, a specific method for obtaining soil assessment results is as follows: extracting initial soil respiration data from the acquired soil data of the monitored environment, and using preset soil respiration influencing factors to correct the initial soil respiration data to obtain soil respiration; comparing the corrected soil respiration with the reference soil respiration, and combining the acquired soil visualization curve and soil enzyme activity, soil physical data and soil chemical data for analysis to obtain a soil data assessment index, wherein the soil physical data is represented by soil water content, and the soil chemical data is represented by soil organic carbon content; comparing the acquired soil data assessment index with the corresponding reference threshold to obtain the soil assessment result of the monitored environment within a preset time interval, if the preset soil reference threshold is met, it indicates that the soil condition of the monitored environment meets the standard, otherwise the soil assessment result is fed back to the preset professional personnel.

[0055] In this embodiment, the preset factors affecting soil respiration include soil temperature, soil moisture, soil organic matter content, soil aeration, soil pH value, soil nitrogen content and vegetation coverage; soil temperature is one of the main factors affecting soil respiration. Generally, the higher the soil temperature, the more active the metabolic activities of microorganisms and soil animals in the soil, thereby releasing more carbon dioxide; soil moisture can also affect soil respiration. Moderate soil moisture is conducive to the metabolic activities of microorganisms, but overly dry or overly wet soil conditions may limit the activities of microorganisms and affect soil respiration; soil organic matter content is closely related to soil respiration. Organic matter in the soil is the main carbon source for microorganisms and soil animals. Higher organic matter content can It often leads to higher soil respiration; soil aeration affects the supply of oxygen in the soil, which in turn affects the soil respiration process. Good soil aeration is conducive to promoting the metabolic activity of microorganisms, thereby increasing soil respiration; soil pH also has a certain effect on soil respiration. Normally, neutral or slightly acidic soil conditions are more suitable for the growth and activity of microorganisms, which is conducive to increasing soil respiration; the nitrogen content in the soil also has an effect on soil respiration. A higher nitrogen content usually promotes the metabolic activity of microorganisms, thereby increasing soil respiration; vegetation cover can affect soil respiration, and by adjusting factors such as soil temperature and humidity to affect the activity level of microorganisms and soil animals in the soil, a specific assessment of the soil conditions in the monitored environment can be achieved.

[0056] Optionally, a specific method for obtaining the atmospheric data evaluation index is as follows: obtaining the carbon dioxide concentration and atmospheric pollutant concentration of the monitored environment from the atmospheric data of the monitored environment obtained within a preset time interval; obtaining the atmospheric data evaluation index based on the obtained carbon dioxide concentration and atmospheric pollutant concentration, and combining the atmospheric pollutant weights. The atmospheric pollutant weights are used to describe the degree of influence of the atmospheric pollutant concentration on the atmospheric data evaluation index. The atmospheric pollutant weights include carbon monoxide weights, carbon dioxide weights, sulfur dioxide weights, nitric oxide weights and nitrogen dioxide weights.

[0057] In this embodiment, the atmospheric data evaluation index describes the atmospheric conditions. In addition to being directly obtained through the Air Pollution Index (API), the atmospheric conditions can also be more accurately calculated through the following formula. The atmospheric data evaluation index is calculated using the following formula:

[0058]

[0059] Where DQ m is the atmospheric data evaluation index of the mth environment to be monitored, is the carbon monoxide concentration of the mth environment to be monitored, is the reference carbon monoxide concentration of the mth monitored environment, is the reference carbon monoxide concentration deviation of the mth monitored environment, is the carbon dioxide concentration of the mth monitored environment, is the reference carbon dioxide concentration of the mth monitored environment, is the reference carbon dioxide concentration deviation of the mth monitored environment, is the sulfur dioxide concentration of the mth environment to be monitored, is the reference sulfur dioxide concentration of the mth environment to be monitored, is the reference sulfur dioxide concentration deviation of the mth monitored environment, is the nitric oxide concentration of the mth environment to be monitored, is the reference nitric oxide concentration of the mth monitored environment, is the reference nitric oxide concentration deviation of the mth monitored environment, is the nitrogen dioxide concentration of the mth monitored environment, is the reference nitrogen dioxide concentration of the mth monitored environment, is the reference nitrogen dioxide concentration deviation of the mth monitored environment, a1 is the carbon monoxide weight, a2 is the carbon dioxide weight, a3 is the sulfur dioxide weight, a4 is the nitric oxide weight, a5 is the nitrogen dioxide weight, and α0 is the reference relative deviation of carbon dioxide concentration.

[0060] The weight of carbon monoxide indicates the influence of carbon monoxide concentration on the atmospheric data assessment index, the weight of carbon dioxide indicates the influence of carbon dioxide concentration on the atmospheric data assessment index, the weight of sulfur dioxide indicates the influence of sulfur dioxide concentration on the atmospheric data assessment index, the weight of nitric oxide indicates the influence of nitric oxide concentration on the atmospheric data assessment index, and the weight of nitrogen dioxide indicates the influence of carbon dioxide concentration on the atmospheric data assessment index; nitrogen oxides such as nitric oxide and nitrogen dioxide are common air pollutants that can irritate respiratory organs, cause acute and chronic poisoning, and affect and endanger human health. Among nitrogen oxides, nitrogen dioxide is the most toxic, which is 4-5 times more toxic than nitric oxide. Nitrogen oxides mainly come from automobile exhaust and exhaust from the combustion of coal and oil; sulfur dioxide is a common and important atmospheric pollutant, a colorless and irritating gas, which mainly comes from the combustion of sulfur-containing fuels (such as coal and oil), the smelting of sulfur-containing ores, chemical industry, oil refining and sulfuric acid plants; carbon monoxide is a colorless, tasteless, odorless, non-irritating toxic gas that is almost insoluble in water and does not easily react chemically with other substances in the air, so it can stay in the atmosphere for a long time, and carbon monoxide is an internal asphyxiating poison. When the concentration of carbon monoxide in the air reaches a certain level, it will cause various poisoning symptoms or even death; a numerical assessment of the atmospheric conditions of the monitored environment has been achieved.

[0061] Optionally, a specific method for obtaining the illumination data evaluation index is as follows: obtaining illumination radiation data and illumination basic data of the monitored environment from illumination data of the monitored environment within a preset time interval, wherein the illumination radiation data includes direct radiation data and scattered radiation data, and the illumination basic data includes sunshine hours and illuminance; calculating the illumination data evaluation index based on the acquired illumination radiation data and illumination basic data, and in combination with the illumination radiation weight and illumination basic weight, wherein the illumination radiation weight is used to describe the degree of influence of illumination radiation data on the illumination data evaluation index, and the illumination basic weight is used to describe the degree of influence of illumination basic data on the illumination data evaluation index. The illumination data evaluation index describes the illumination conditions. In addition to being directly obtained through the meteorological index, the illumination conditions can also be more accurately calculated through the following formula. The illumination data evaluation index is calculated using the following formula:

[0062]

[0063] In the formula, ZJ m is the direct radiation data of the mth environment to be monitored, is the reference direct radiation data of the mth monitored environment, ΔZJ is the reference direct radiation data deviation, SS m is the scattered radiation data of the mth environment to be monitored, is the reference scattered radiation data of the mth monitored environment, ΔSS is the reference scattered radiation data deviation, RT m is the sunshine hours of the mth environment to be monitored, is the reference sunshine hours of the mth monitored environment, Q m is the illumination of the mth environment to be monitored, is the reference illuminance of the mth monitored environment, b1 is the light radiation weight, b2 is the light basic weight, and β0 is the reference relative deviation of the direct radiation data.

[0064] In this embodiment, the light radiation weight is the weight of the absolute deviation of the direct radiation data, and the light basic weight is the weight of the sum of the sunshine hours ratio and the sunshine amount ratio; the light radiation data may also need to consider the reflected radiation situation, and the light basic data may also need to consider the light intensity, solar irradiance and sunshine amount. The direct radiation data is the radiation data of the sun directly hitting the surface without the scattering effect of the atmosphere; the scattered radiation data is the scattering data of solar radiation caused by gases and aerosol particles in the atmosphere; the reflected radiation data is the solar radiation data reflected by the ground; the sunshine hours indicate the length of time that the sun directly shines on the earth's surface in a day; the light intensity indicates the intensity of vertically incident solar radiation per unit area; the illuminance indicates the light energy received per unit area; the solar irradiance indicates the solar radiation energy received per unit area per unit time; the sunshine amount indicates the total solar radiation energy per unit area in a day; and the numerical evaluation of the light conditions of the monitored environment is realized.

[0065] Optionally, a specific method for obtaining the soil data evaluation index is as follows: obtaining soil respiration, soil enzyme activity, soil physical data and soil chemical data of the monitored environment from the soil data of the monitored environment within a preset time interval; calculating the soil data evaluation index based on the acquired data and in combination with the soil respiration weight, soil enzyme activity weight, soil physical weight and soil chemical weight, wherein the soil respiration weight is used to describe the influence of soil respiration on the soil data evaluation index, the soil enzyme activity weight is used to describe the influence of soil enzyme activity on the soil data evaluation index, the soil physical weight is used to describe the influence of soil physical data on the soil data evaluation index, and the soil chemical weight is used to describe the influence of soil chemical weight on the soil data evaluation index. The soil data evaluation index describes the soil conditions. In addition to being directly obtained through the single pollution index (Pi) and the comprehensive pollution index (P), the soil conditions can also be more accurately calculated through the following formula. The soil data evaluation index is calculated using the following formula:

[0066]

[0067] In the formula, S m is the soil moisture content of the mth monitored environment, is the reference soil moisture content of the mth monitored environment, ΔS is the reference soil moisture content deviation, X m is the soil respiration of the mth monitored environment, is the reference soil respiration of the mth monitored environment, ΔX is the reference soil respiration deviation, T m is the soil enzyme activity of the mth monitored environment, is the reference soil enzyme activity of the mth monitored environment, ΔT is the reference soil enzyme activity deviation, C m is the soil organic carbon content of the mth monitored environment, is the reference soil organic carbon content of the mth monitored environment, ΔC is the reference soil organic carbon content deviation, c1 is the soil physical weight, c2 is the soil respiration weight, c3 is the soil enzyme activity weight, c4 is the soil chemical weight, and γ0 is the reference relative deviation of soil respiration.

[0068] In this embodiment, soil physical data can also be combined with soil layer thickness and oxygen diffusion rate, soil chemical data can also be combined with soil conductivity, soil physical weight is the weight of absolute deviation of soil water content; soil chemical weight is the weight of absolute deviation of soil organic carbon content; the physical condition of soil has a direct or indirect impact on plant growth and environmental quality; soil organisms are the main vital part of soil and are one of the important indicators for evaluating soil quality and health; the existence form and concentration of various nutrients and soil pollutants in soil directly affect plant growth and animal and human health; and a numerical evaluation of the soil condition to be monitored is achieved.

[0069] like Figure 3 As shown, it is a structural schematic diagram of an intelligent environment monitoring system based on a wireless MEMS sensor provided by an embodiment of the present invention. An intelligent environment monitoring system based on a wireless MEMS sensor provided by an embodiment of the present invention includes: a data acquisition module, a comprehensive evaluation module and a result feedback module; wherein the data acquisition module is used to monitor the preset influencing factors of the monitored environment in real time through a preset MEMS sensor, obtain initial sensor data, and visualize the sensor data obtained by preprocessing the initial sensor data, the preset influencing factors include atmosphere, light and soil, and the sensor data includes atmosphere data, light data and soil data; the comprehensive evaluation module is used to evaluate the factors of the monitored environment according to the collected sensor data to obtain a comprehensive data evaluation index, and the comprehensive data evaluation index is used to comprehensively describe the atmosphere evaluation result, light evaluation result and soil evaluation result of the monitored environment within a preset time interval; the result feedback module is used to compare and analyze the comprehensive data evaluation index with the corresponding threshold value to obtain a first monitoring result. If the first monitoring result meets the preset requirement, it indicates that the monitored environment meets the standard, otherwise the first monitoring result is fed back to the preset professional personnel.

[0070] In this embodiment, systematization of intelligent environmental monitoring is achieved.

[0071] The technical solutions in the above embodiments of the present invention have at least the following technical effects or advantages:

[0072] Compared with a construction site environment monitoring system disclosed in CN116202571A, the embodiment of the present invention obtains the light radiation data and the light basic data of the environment to be monitored within a preset time interval from the light data of the environment to be monitored, and then calculates the light data evaluation index based on the acquired light radiation data and light basic data in combination with the light radiation weight and the light basic weight, and finally evaluates the light condition of the environment to be monitored through the calculated light data evaluation index, thereby realizing the digitization of the light condition of the environment to be monitored, and further realizing a more accurate evaluation of the light condition of the environment to be monitored.

[0073] Compared with the environmental monitoring system disclosed in CN108627196B, the embodiment of the present invention obtains the soil respiration, soil enzyme activity, soil physical data and soil chemical data of the environment to be monitored within a preset time interval from the soil data of the environment to be monitored, and then calculates the soil data evaluation index based on the obtained soil respiration, soil enzyme activity, soil physical data and soil chemical data, and in combination with the soil respiration weight, soil enzyme activity weight, soil physical weight and soil chemical weight. Finally, the soil condition of the environment to be monitored is evaluated by the calculated soil data evaluation index, thereby realizing the digitization of the soil condition of the environment to be monitored, and then realizing a more accurate evaluation of the soil condition of the environment to be monitored.

[0074] Those skilled in the art will appreciate that embodiments of the present invention may be provided as methods, systems, or computer program products. Therefore, the present invention may take the form of a complete hardware embodiment, a complete software embodiment, or an embodiment combining software and hardware. Moreover, the present invention may take the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code.

[0075] The present invention is described with reference to flowcharts and / or block diagrams of methods, devices (systems), and computer program products according to embodiments of the present invention. It should be understood that each process and / or block in the flowchart and / or block diagram, as well as the combination of processes and / or blocks in the flowchart and / or block diagram, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, an embedded processor, or other programmable data processing device to produce a machine, so that the instructions executed by the processor of the computer or other programmable data processing device generate instructions for implementing the processes in the flowchart and / or block diagram. Figure 1A process or multiple processes and / or boxes Figure 1 A device that provides the functions specified in a block or multiple blocks.

[0076] These computer program instructions may also be stored in a computer-readable memory capable of directing a computer or other programmable data processing device to operate in a specific manner, so that the instructions stored in the computer-readable memory produce an article of manufacture comprising an instruction device, which implements the process Figure 1 A process or multiple processes and / or boxes Figure 1 A function specified in one or more boxes.

[0077] These computer program instructions can also be loaded onto a computer or other programmable data processing device so that a series of operating steps are executed on the computer or other programmable device to produce a computer-implemented process, thereby providing instructions for implementing the process. Figure 1 A process or multiple processes and / or boxes Figure 1 The steps for the functions specified in one or more boxes.

[0078] Although the preferred embodiments of the present invention have been described, those skilled in the art may make other changes and modifications to these embodiments once they have learned the basic creative concept. Therefore, the appended claims are intended to be interpreted as including the preferred embodiments and all changes and modifications that fall within the scope of the present invention.

[0079] Obviously, those skilled in the art can make various changes and modifications to the present invention without departing from the spirit and scope of the present invention. Thus, if these modifications and variations of the present invention fall within the scope of the claims of the present invention and their equivalents, the present invention is also intended to include these modifications and variations.

Claims

1. An intelligent environment monitoring method based on wireless MEMS sensors, characterized in that: The following steps are involved: S1, real-time monitoring of preset influencing factors of the monitored environment by a preset MEMS sensor to obtain initial sensor data, and visualizing the sensor data obtained by preprocessing the initial sensor data; S2, evaluating factors of the monitored environment according to the collected sensor data to obtain a comprehensive data evaluation index, wherein the comprehensive data evaluation index is used to comprehensively describe the atmospheric evaluation results, light evaluation results, and soil evaluation results of the monitored environment within a preset time interval; S3, comparing and analyzing the comprehensive data evaluation index with the corresponding threshold value to obtain a first monitoring result. If the first monitoring result meets the preset requirements, it indicates that the monitored environment meets the standards. Otherwise, the first monitoring result is fed back to the preset professional personnel.

2. The intelligent environment monitoring method based on wireless MEMS sensor as claimed in claim 1, characterized in that: The visualization is used to obtain an environment visualization curve, which includes an atmosphere visualization curve, a light visualization curve and a soil visualization curve; The atmospheric visualization curve is a curve of the change relationship between the acquired atmospheric data of the environment to be monitored and the corresponding preset time interval; The illumination visualization curve is a curve of the variation relationship between the acquired illumination data of the environment to be monitored and the corresponding preset time interval; The soil visualization curve is a curve of the change relationship between the acquired soil data of the environment to be monitored and the corresponding preset time interval.

3. The intelligent environment monitoring method based on wireless MEMS sensor as claimed in claim 2, characterized in that: The specific method for obtaining the comprehensive data evaluation index is as follows: By analyzing the obtained sensors, an atmospheric data evaluation index, a light data evaluation index, and a soil data evaluation index of the environment to be monitored are obtained, and corresponding thresholds and reference deviations are obtained, wherein the atmospheric data evaluation index is used to describe the atmospheric conditions of the environment to be monitored, the light data evaluation index is used to describe the light conditions of the environment to be monitored, and the soil data evaluation index is used to describe the soil conditions of the environment to be monitored; The comprehensive data evaluation index of the environment to be monitored is calculated based on the acquired data. The comprehensive data evaluation index is calculated using the following formula: In the formula, e represents a natural constant, m represents the number of the environment to be monitored, m = 1, 2, ..., M, M is the total number of environments to be monitored, ZH m is the comprehensive data evaluation index of the mth monitored environment, DQ m is the atmospheric data evaluation index of the mth monitored environment, DQ0 is the threshold of the atmospheric data evaluation index, ΔDQ is the reference deviation of the atmospheric data evaluation index, GZ m is the illumination data evaluation index of the mth monitored environment, GZ0 is the threshold of the illumination data evaluation index, ΔGZ is the reference deviation of the illumination data evaluation index, TR m is the soil data evaluation index of the mth monitored environment, TR0 is the threshold of the soil data evaluation index, ΔTR is the reference deviation of the soil data evaluation index, and ε0 is the reference relative deviation of the atmospheric data evaluation index.

4. The intelligent environment monitoring method based on wireless MEMS sensor as claimed in claim 3, characterized in that: The specific method for obtaining the atmospheric assessment results is as follows: Extracting initial carbon dioxide concentration data from the atmospheric data of the environment to be monitored, and correcting the initial carbon dioxide concentration data using a preset carbon dioxide concentration influencing factor to obtain the carbon dioxide concentration; The concentration-corrected carbon dioxide concentration is compared with the reference carbon dioxide concentration, and the atmospheric data evaluation index is obtained by combining the obtained atmospheric visualization curve and atmospheric pollutant concentration for analysis; The acquired atmospheric data evaluation index is compared with the corresponding reference threshold to obtain the atmospheric evaluation result of the monitored environment within the preset time interval. If the preset atmospheric reference threshold is met, it indicates that the atmospheric conditions of the monitored environment meet the standards. Otherwise, the atmospheric evaluation result is fed back to the preset professional personnel.

5. The intelligent environment monitoring method based on wireless MEMS sensor as claimed in claim 3, characterized in that: The specific method for obtaining the illumination evaluation result is as follows: The illumination data of the monitored environment obtained within a preset time interval is compared with the reference illumination data, and analyzed in combination with the illumination visualization curve to obtain an illumination data evaluation index; The obtained lighting data evaluation index is compared with the corresponding reference threshold to obtain the lighting evaluation result of the monitored environment within the preset time interval. If the preset lighting reference threshold is met, it indicates that the lighting conditions of the monitored environment meet the standards. Otherwise, the lighting evaluation result is fed back to the preset professional personnel.

6. The intelligent environment monitoring method based on wireless MEMS sensor as claimed in claim 3, characterized in that: The specific method for obtaining the soil assessment results is as follows: Extracting initial soil respiration data from the acquired soil data of the environment to be monitored, and correcting the initial soil respiration data using preset soil respiration influencing factors to obtain soil respiration; The corrected soil respiration is compared with the reference soil respiration, and the soil data evaluation index is obtained by combining the obtained soil visualization curve and soil enzyme activity, soil physical data and soil chemical data analysis, wherein the soil physical data is represented by soil water content, and the soil chemical data is represented by soil organic carbon content; The acquired soil data evaluation index is compared with the corresponding reference threshold to obtain the soil evaluation result of the monitored environment within the preset time interval. If the preset soil reference threshold is met, it indicates that the soil condition of the monitored environment meets the standard. Otherwise, the soil evaluation result is fed back to the preset professional personnel.

7. The intelligent environment monitoring method based on wireless MEMS sensor as claimed in claim 4, characterized in that: The specific method for obtaining the atmospheric data evaluation index is as follows: Obtaining the carbon dioxide concentration and atmospheric pollutant concentration of the environment to be monitored from the atmospheric data of the environment to be monitored acquired within a preset time interval; The atmospheric data assessment index is obtained based on the acquired carbon dioxide concentration and atmospheric pollutant concentration and combined with the atmospheric pollutant weights. The atmospheric pollutant weights are used to describe the influence of the atmospheric pollutant concentration on the atmospheric data assessment index. The atmospheric pollutant weights include carbon monoxide weight, carbon dioxide weight, sulfur dioxide weight, nitric oxide weight and nitrogen dioxide weight.

8. The intelligent environment monitoring method based on wireless MEMS sensor as claimed in claim 5, characterized in that: The specific method for obtaining the illumination data evaluation index is as follows: Acquire light radiation data and basic light data of the monitored environment from the light data of the monitored environment within a preset time interval, wherein the light radiation data includes direct radiation data and scattered radiation data, and the basic light data includes sunshine hours and illuminance; The illumination data evaluation index is calculated based on the acquired illumination radiation data and illumination basic data, and in combination with the illumination radiation weight and the illumination basic weight. The illumination radiation weight is used to describe the influence of the illumination radiation data on the illumination data evaluation index. The illumination basic weight is used to describe the influence of the illumination basic data on the illumination data evaluation index. The illumination data evaluation index is calculated using the following formula: In the formula, ZJ m is the direct radiation data of the mth environment to be monitored, is the reference direct radiation data of the mth monitored environment, ΔZJ is the reference direct radiation data deviation, SS m is the scattered radiation data of the mth environment to be monitored, is the reference scattered radiation data of the mth monitored environment, ΔSS is the reference scattered radiation data deviation, RT m is the sunshine hours of the mth environment to be monitored, is the reference sunshine hours of the mth monitored environment, Q m is the illumination of the mth environment to be monitored, is the reference illuminance of the mth monitored environment, b1 is the light radiation weight, b2 is the light basic weight, and β0 is the reference relative deviation of the direct radiation data.

9. The intelligent environment monitoring method based on wireless MEMS sensor as claimed in claim 6, characterized in that: The specific method for obtaining the soil data evaluation index is as follows: Acquire soil respiration, soil enzyme activity, soil physical data and soil chemical data of the environment to be monitored from soil data of the environment to be monitored within a preset time interval; The soil data evaluation index is calculated based on the acquired data and in combination with the soil respiration weight, soil enzyme activity weight, soil physical weight and soil chemical weight. The soil respiration weight is used to describe the influence of soil respiration on the soil data evaluation index. The soil enzyme activity weight is used to describe the influence of soil enzyme activity on the soil data evaluation index. The soil physical weight is used to describe the influence of soil physical data on the soil data evaluation index. The soil chemical weight is used to describe the influence of soil chemical weight on the soil data evaluation index. The soil data evaluation index is calculated using the following formula: In the formula, S m is the soil moisture content of the mth monitored environment, is the reference soil moisture content of the mth monitored environment, ΔS is the reference soil moisture content deviation, X m is the soil respiration of the mth monitored environment, is the reference soil respiration of the mth monitored environment, ΔX is the reference soil respiration deviation, T m is the soil enzyme activity of the mth monitored environment, is the reference soil enzyme activity of the mth monitored environment, ΔT is the reference soil enzyme activity deviation, C m is the soil organic carbon content of the mth monitored environment, is the reference soil organic carbon content of the mth monitored environment, ΔC is the reference soil organic carbon content deviation, c1 is the soil physical weight, c2 is the soil respiration weight, c3 is the soil enzyme activity weight, c4 is the soil chemical weight, and γ0 is the reference relative deviation of soil respiration.

10. An intelligent environment monitoring system based on wireless MEMS sensors, characterized in that: The intelligent environment monitoring system based on wireless MEMS sensor includes a data acquisition module, a comprehensive evaluation module and a result feedback module; The data acquisition module is used to monitor preset influencing factors of the monitored environment in real time through preset MEMS sensors, obtain initial sensor data, and visualize sensor data obtained by preprocessing the initial sensor data, wherein the preset influencing factors include atmosphere, light and soil, and the sensor data includes atmosphere data, light data and soil data; The comprehensive evaluation module is used to evaluate the factors of the monitored environment according to the collected sensor data to obtain a comprehensive data evaluation index, and the comprehensive data evaluation index is used to comprehensively describe the atmospheric evaluation results, light evaluation results and soil evaluation results of the monitored environment within a preset time interval; The result feedback module is used to compare and analyze the comprehensive data evaluation index with the corresponding threshold to obtain a first monitoring result. If the first monitoring result meets the preset requirements, it indicates that the monitored environment meets the standards. Otherwise, the first monitoring result is fed back to the preset professional personnel.

Images