An atmospheric environment monitoring system for monitoring construction sites
By designing an atmospheric environment monitoring system for construction sites, the problems of inefficiency of traditional monitoring methods and inaccurate data are solved, and accurate assessment and effective early warning of the atmospheric environment of construction sites are achieved, which improves the credibility and reference of environmental quality management.
Patent Information
- Application Number
- CN202411815754.2
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2024-12-11
- Publication Date
- 2025-04-04
AI Technical Summary
Traditional construction site environmental monitoring relies on manual inspection or simple portable detection instruments, which have problems of inefficiency and inaccurate data, making it difficult to effectively monitor and manage the atmospheric environmental quality of the construction site.
A atmospheric environment monitoring system for monitoring construction sites was designed, including a data acquisition module, a data analysis module, an atmospheric quality evaluation module and an early warning module. The system collects atmospheric environment data during the monitoring cycle, calculates contrast in conjunction with reference values, evaluates the environmental status, and matches preset comparison thresholds, sets up monitoring start time and adjustment period, counts the duration of abnormality, calculates monitoring result values, and reflects the overall monitoring status of the atmospheric environment.
It realizes accurate assessment and effective early warning of the atmospheric environment of the construction site, can quickly respond to environmental abnormalities, reduce adverse effects, provide comprehensive data to support regional environmental management planning, and improves the credibility and reference of environmental quality management.
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Figure CN119757648A_ABST
Abstract
Description
Technical Field
[0001] The present invention relates to the technical field of environmental monitoring, and in particular to an atmospheric environment monitoring system for monitoring a construction site. Background Art
[0002] With the acceleration of urbanization, the construction industry has developed rapidly. However, in the process of construction, due to the extensive use of mechanical equipment, material transportation, construction operations and other activities, a large amount of dust, harmful gases and other pollutants will be generated. These pollutants not only have a serious impact on the environment around the construction site, but may also pose a threat to the health of construction workers. Therefore, how to effectively monitor and manage the quality of the atmospheric environment on the construction site has become an urgent problem to be solved. Traditional construction site environmental monitoring mostly relies on manual inspections or simple portable detection instruments. This method has problems such as low efficiency and inaccurate data. Summary of the invention
[0003] The present invention aims at solving the technical problems existing in the prior art and provides an atmospheric environment monitoring system for monitoring a construction site.
[0004] The technical solution of the present invention to solve the above technical problem is as follows: an atmospheric environment monitoring system for monitoring a construction site, comprising:
[0005] Data collection module: During the monitoring period, the atmospheric environment data in the distribution area is collected, combined with the corresponding reference values, and the contrast of each monitoring item is calculated to evaluate the atmospheric environment status;
[0006] Data analysis module: When monitoring the atmospheric environment, the monitoring data is matched with the preset comparison threshold, the monitoring start time and adjustment period are set, the duration of the abnormality is counted, and the monitoring result value is calculated to reflect the overall monitoring situation of the atmospheric environment;
[0007] Air quality evaluation module: monitor the air quality of the construction site, establish the grade matrix and eigenvalue, and use the mass function to calculate the mass distribution based on the monitoring item parameters, combined with the weight and standard reference value to determine the interval reliability of different air quality grades;
[0008] Early warning module: Build an atmospheric environment early warning model, determine the range of atmospheric quality evaluation levels, conduct graded assessments of the atmospheric environment quality at the construction site, and calculate the compliance rate, thereby achieving effective early warning and management of the atmospheric environment at the construction site.
[0009] In a preferred embodiment, the data acquisition module determines the distribution area of the construction site, constructs an electronic map covering the distribution area, divides the distribution area into several sub-areas on the electronic map, sets monitoring points in each sub-area, sets a monitoring period, obtains the particulate matter concentration, sulfur dioxide concentration, nitrogen oxide concentration, volatile organic matter content and carbon monoxide content in the distribution area during the monitoring period, and marks them as J1, J2, J3, J4, J5 in turn, and respectively combines the marked particulate matter concentration J1, sulfur dioxide concentration J2, nitrogen oxide concentration J3, volatile organic matter content J4 and carbon monoxide content J5 with the corresponding reference particulate matter concentration BJ1, reference sulfur dioxide concentration BJ2, reference nitrogen oxide concentration BJ3, reference volatile organic matter content BJ4 and reference carbon monoxide content BJ5, extracts the value of each data and obtains the contrast of the corresponding monitoring item by calculation, and the specific calculation formula of the contrast is as follows:
[0010]
[0011] Among them, J i Indicates the value of the ith monitoring item in the actual monitoring data, BJ i represents the reference value corresponding to the ith monitoring item, and 1n represents the natural logarithmic function.
[0012] In a preferred embodiment, the data analysis module matches the atmospheric environment data obtained by monitoring with a preset contrast threshold. If the contrast of a certain monitoring item is greater than the contrast threshold, the monitoring item is determined to be abnormal, and the corresponding time point is set as the monitoring initial point. At the same time, the duration of the monitoring cycle is shortened to obtain a monitoring adjustment period until the contrast is no greater than the contrast threshold. The corresponding time point is set as the monitoring end point. According to different monitoring initial points and monitoring end points, the total duration of the abnormal monitoring on that day is calculated, and the monitoring results of each atmospheric monitoring item monitored daily are calculated. The monitoring result value is obtained by calculation, and the calculation formula of the monitoring result value is as follows:
[0013]
[0014] Among them, M represents the monitoring result value, CR i represents the i-th monitoring item, w i Represents the weight coefficient of the i-th monitoring item.
[0015] In a preferred embodiment, the air quality evaluation module represents the signal collected by the i-th effective air environment monitoring sensor with yi, and the i-th air environment monitoring sensor quantifies yi using the mapping rule ui=γi(yi), and transmits ui to the data center. Based on the received data, u={u1, u2, ...uN}, the air condition of the monitored construction site is evaluated. The specific steps are as follows:
[0016] S1, let G = {g1, g2, g3, ..., g i}, represents the atmospheric quality parameter level matrix, g i Represents the current air quality level of the monitored construction site, let λ i ={λ i1 ,λ i2 ,...,λ im} T represents the characteristic value of all air quality levels, where T represents the number of air quality levels, and λ ij represents the characteristic values of m air quality parameters with air quality level i, where m represents the number of air quality parameters;
[0017] S2. Classify the air quality of the monitored construction site into different levels and use the mass function to represent the interval confidence of different levels, μ i = {M(g1),M(g2),M(g i ),M(g t )},M(g i ) indicates that the air quality level of the monitoring site is judged to be g i The interval reliability of
[0018] S3. Standardize each monitoring parameter. The standardized parameter values are Z1, Z2, Z3, Z4, and Z5. Set the weight coefficient of each monitoring parameter. The specific calculation formula for mass distribution is as follows:
[0019]
[0020] Among them, α1, α2, α3, α4 and α5 are the weight coefficients of each monitoring parameter. The μ i Used in subsequent mass functions to determine the interval confidence of different air quality levels.
[0021] In a preferred embodiment, the early warning module constructs an early warning model by using the classification results of the atmospheric environment of the monitoring site. The specific steps of constructing the early warning model are as follows:
[0022] S1. Determine the range of air quality assessment level, that is, v = {v1, v2, v3, v4, v5};
[0023] S2. Determine the fuzzy relationship matrix. First, calculate the membership of each single factor to the air quality level based on the membership function and the measured values of the air quality indicators. Assuming that the air quality mainly considers the five indicators of particulate matter concentration J1, sulfur dioxide concentration J2, nitrogen oxide concentration J3, volatile organic compound content J4 and carbon monoxide content J5, the membership function formula of the i-th factor to the j-th air quality level is as follows:
[0024] For the v1th air quality, its membership degree is:
[0025]
[0026] Among them, J i represents the measured value of the concentration of the i-th evaluation factor, a i1 It represents the evaluation value of the first category of the evaluation factor, a i2 It represents the evaluation value of the second category of the evaluation factor;
[0027] For air quality categories v2, v3, and v4, i.e., j = 2, 3, and 4, the membership degree is:
[0028]
[0029] For v5 air quality, its membership degree is:
[0030]
[0031] S3. Calculate the compliance rate of air quality based on the air quality evaluation level. The air quality compliance rate is the ratio of the number of monitoring areas that meet the air quality index to the total number of monitoring areas. The specific calculation formula is as follows:
[0032]
[0033] Among them, FZ represents the number of monitoring areas that meet the standards, and FT represents the total number of monitoring areas. By constructing the above early warning model, the atmospheric environment quality of the construction site can be graded and evaluated, and the compliance rate can be calculated, thereby achieving effective early warning and management of the atmospheric environment of the construction site.
[0034] The beneficial effects of the present invention are as follows: by calculating the contrast ratio jointly with the reference value, the present invention can accurately know the degree of deviation of various atmospheric indicators and intuitively present the changes in environmental quality. For example, the comparison of particulate matter concentration can quickly determine the increase or decrease of pollution, providing a basis for targeted governance. Based on the matching of monitoring data and threshold values, anomalies can be discovered in time and the start time and adjustment period can be established. The duration of anomalies can be counted, which is conducive to rapid response. For example, when exceeding the standard, construction activities can be adjusted in time or emission reduction measures can be strengthened to effectively reduce adverse effects. The monitoring result value is calculated by comprehensively considering multiple parameters and weights to avoid the one-sidedness of a single indicator, comprehensively reflecting the overall state of the atmospheric environment, and providing comprehensive data support for regional environmental management planning. With the help of mass functions and grade matrices, etc., mass distribution and interval reliability are calculated according to monitoring parameters, and the atmospheric quality grades are scientifically divided to make the evaluation results more credible and referenceable. An early warning model is constructed to determine the grade range, graded evaluation and calculate the compliance rate, which can warn of the trend of atmospheric environmental deterioration in advance, help management departments to plan and respond in advance, ensure the air quality of construction sites and surrounding areas, and promote the effective implementation and continuous optimization of environmental protection measures. BRIEF DESCRIPTION OF THE DRAWINGS
[0035] Figure 1 is a flow chart of the present invention;
[0036] Figure 2 It is a system block diagram of the present invention. DETAILED DESCRIPTION
[0037] The following will be combined with the drawings in the embodiments of the present application to clearly and completely describe the technical solutions in the embodiments of the present application. Obviously, the described embodiments are only part of the embodiments of the present application, not all of the embodiments. Based on the embodiments in the present application, all other embodiments obtained by those skilled in the art without creative work are within the scope of protection of this application.
[0038] In the description of this application, the terms "first" and "second" are used for descriptive purposes only and should not be understood as indicating or implying relative importance or implicitly indicating the number of technical features indicated. Thus, a feature defined as "first" or "second" may explicitly or implicitly include one or more of the features. In the description of this application, "plurality" means two or more, unless otherwise clearly and specifically defined.
[0039] In the description of the present application, the term "for example" is used to mean "used as an example, illustration or description". Any embodiment described as "for example" in the present application is not necessarily to be construed as being more preferred or advantageous than other embodiments. The following description is given to enable any technician in the field to implement and use the present invention. In the following description, details are listed for the purpose of explanation. It should be understood that a person of ordinary skill in the art can recognize that the present invention can be implemented without using these specific details. In other examples, well-known structures and processes will not be elaborated in detail to avoid unnecessary details to obscure the description of the present invention. Therefore, the present invention is not intended to be limited to the embodiments shown, but is consistent with the widest scope consistent with the principles and features disclosed in the present application.
[0040] like Figure 1 This embodiment provides: an atmospheric environment monitoring system for monitoring a construction site, comprising:
[0041] Data collection module: During the monitoring period, the atmospheric environment data in the distribution area is collected, combined with the corresponding reference values, and the contrast of each monitoring item is calculated to evaluate the atmospheric environment status;
[0042] Data analysis module: When monitoring the atmospheric environment, the monitoring data is matched with the preset comparison threshold, the monitoring start time and adjustment period are set, the duration of the abnormality is counted, and the monitoring result value is calculated to reflect the overall monitoring situation of the atmospheric environment;
[0043] Air quality evaluation module: monitor the air quality of the construction site, establish the grade matrix and eigenvalue, and use the mass function to calculate the mass distribution based on the monitoring item parameters, combined with the weight and standard reference value to determine the interval reliability of different air quality grades;
[0044] Early warning module: Build an atmospheric environment early warning model, determine the range of atmospheric quality evaluation levels, conduct graded assessments of the atmospheric environment quality at the construction site, and calculate the compliance rate, thereby achieving effective early warning and management of the atmospheric environment at the construction site.
[0045] In this embodiment, it is necessary to specifically explain the data acquisition module, which determines the distribution area of the construction site, constructs an electronic map covering the distribution area, divides the distribution area into several sub-areas on the electronic map, sets monitoring points in each sub-area, sets a monitoring period, obtains the particle concentration, sulfur dioxide concentration, nitrogen oxide concentration, volatile organic matter content and carbon monoxide content of the distribution area within the monitoring period, and marks them as J1, J2, J3, J4, J5 in turn, and respectively combines the marked particle concentration J1, sulfur dioxide concentration J2, nitrogen oxide concentration J3, volatile organic matter content J4 and carbon monoxide content J5 with the corresponding reference particle concentration BJ1, reference sulfur dioxide concentration BJ2, reference nitrogen oxide concentration BJ3, reference volatile organic matter content BJ4 and reference carbon monoxide content BJ5, extracts the value of each data and obtains the contrast of the corresponding monitoring item by calculation. The specific calculation formula of the contrast is as follows:
[0046]
[0047] Among them, J i Indicates the value of the ith monitoring item in the actual monitoring data, BJ i represents the reference value corresponding to the ith monitoring item, and 1n represents the natural logarithmic function.
[0048] It should be noted that by comparing the actual monitored data such as the particle concentration J1 with the corresponding reference data BJ1, the contrast CR i It can be presented in the form of , which can very intuitively show the degree of change of various atmospheric environmental indicators relative to the reference situation. For example, if the particle concentration contrast CR value of a monitoring point is greater than 1, it means that the actual monitored particle concentration is higher than the reference value. It can quickly determine whether the particle pollution in the area has increased or decreased compared with the reference standard, so as to clearly understand the dynamic changes in atmospheric environmental quality. The natural logarithm function 1n is in the formula to consider the relative sensitivity of data changes when calculating the contrast. The characteristic of the logarithmic function is that when the independent variable is small, the function value grows relatively fast, and when the independent variable is large, the function value grows gradually slower. In this way, the formula can appropriately reflect the impact of such changes on the contrast when the data changes are small, and will not over-magnify the contrast when the data is large, playing a role of balancing and adjusting the sensitivity.
[0049] In this embodiment, what needs to be specifically explained is the data analysis module, which matches the atmospheric environment data obtained by monitoring with a preset contrast threshold. If the contrast of a certain monitoring item is greater than the contrast threshold, the monitoring item is determined to be abnormal, and the corresponding time point is set as the monitoring initial point. At the same time, the duration of the monitoring cycle is shortened to obtain the monitoring adjustment period, until the contrast is not greater than the contrast threshold, then the corresponding time point is set as the monitoring end point, and the total duration of the abnormal monitoring on the day is calculated according to different monitoring initial points and monitoring end points, and the monitoring results of each atmospheric monitoring item monitored daily are calculated, and the monitoring result value is obtained by calculation. The calculation formula of the monitoring result value is as follows:
[0050]
[0051] Among them, M represents the monitoring result value, CR i represents the i-th monitoring item, w i Represents the weight coefficient of the i-th monitoring item.
[0052] In this embodiment, it is necessary to specifically explain the air quality evaluation module. The air quality evaluation module uses yi to represent the signal collected by the i-th effective air environment monitoring sensor. After the i-th air environment monitoring sensor quantifies yi using the mapping rule ui=γi(yi), ui is transmitted to the data center. Based on the received data, u={u1, u2, ...uN}, the air condition of the monitored construction site is evaluated. The specific steps are as follows:
[0053] S1, let G = {g1, g2, g3, ..., g i}, represents the atmospheric quality parameter level matrix, g i Represents the current air quality level of the monitored construction site, let λ i ={λ i1 ,λ i2 ,...,λ im} T represents the characteristic value of all air quality levels, where T represents the number of air quality levels, and λ ij represents the characteristic values of m air quality parameters with air quality level i, where m represents the number of air quality parameters;
[0054] S2. Classify the air quality of the monitored construction site into different levels and use the mass function to represent the interval confidence of different levels, μ i = {M(g1),M(g2),M(g i ),M(g t )},M(g i ) indicates that the air quality level of the monitoring site is judged to be g i The interval reliability of
[0055] S3. Standardize each monitoring parameter. The standardized parameter values are Z1, Z2, Z3, Z4, and Z5. Set the weight coefficient of each monitoring parameter. The specific calculation formula for mass distribution is as follows:
[0056]
[0057] Among them, α1, α2, α3, α4 and α5 are the weight coefficients of each monitoring parameter. The μ i Used in subsequent mass functions to determine the interval confidence of different air quality levels.
[0058] In this embodiment, it is necessary to specifically explain the early warning module, which constructs an early warning model by using the classification results of the atmospheric environment of the monitoring site. The specific steps of constructing the early warning model are as follows:
[0059] S1. Determine the range of air quality assessment level, that is, v = {v1, v2, v3, v4, v5};
[0060] S2. Determine the fuzzy relationship matrix. First, calculate the membership of each single factor to the air quality level based on the membership function and the measured values of the air quality indicators. Assuming that the air quality mainly considers the five indicators of particulate matter concentration J1, sulfur dioxide concentration J2, nitrogen oxide concentration J3, volatile organic compound content J4 and carbon monoxide content J5, the membership function formula of the i-th factor to the j-th air quality level is as follows:
[0061] For the v1th air quality, its membership degree is:
[0062]
[0063] Among them, J i represents the measured value of the concentration of the ith evaluation factor, a i1 It represents the evaluation value of the first category of the evaluation factor, a i2 It represents the evaluation value of the second category of the evaluation factor;
[0064] For air quality categories v2, v3, and v4, i.e., j = 2, 3, and 4, the membership degree is:
[0065]
[0066] For v5 air quality, its membership degree is:
[0067]
[0068] S3. Calculate the compliance rate of air quality based on the air quality evaluation level. The air quality compliance rate is the ratio of the number of monitoring areas that meet the air quality index to the total number of monitoring areas. The specific calculation formula is as follows:
[0069]
[0070] Among them, FZ represents the number of monitoring areas that meet the standards, and FT represents the total number of monitoring areas. By constructing the above early warning model, the atmospheric environment quality of the construction site can be graded and evaluated, and the compliance rate can be calculated, thereby achieving effective early warning and management of the atmospheric environment of the construction site.
[0071] It should be noted that taking multiple air quality parameters (such as particulate matter concentration, sulfur dioxide concentration, nitrogen oxide concentration, etc.) into consideration and calculating the mass distribution with standardized parameters combined with weight coefficients can more comprehensively reflect the air quality status and avoid the limitations of single parameter evaluation. For example, simply looking at the high concentration of particulate matter may lead to the judgment that the air quality is poor, but after comprehensively considering the lower concentrations of other pollutants and weight factors, different evaluation results may be obtained.
[0072] It should be noted that in the above embodiments, the description of each embodiment has its own emphasis, and for parts that are not described in detail in a certain embodiment, reference can be made to the relevant descriptions of other embodiments.
[0073] 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.
[0074] 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 computer, or other programmable data processing device to generate 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 1 A process or multiple processes and / or boxes Figure 1 A device that provides the functions specified in a block or multiple blocks.
[0075] 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.
[0076] 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.
[0077] 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.
[0078] 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 atmospheric environment monitoring system for monitoring a construction site, characterized in that: include: Data collection module: During the monitoring period, the atmospheric environment data in the distribution area is collected, combined with the corresponding reference values, and the contrast of each monitoring item is calculated to evaluate the atmospheric environment status; Data analysis module: When monitoring the atmospheric environment, the monitoring data is matched with the preset comparison threshold, the monitoring start time and adjustment period are set, the duration of the abnormality is counted, and the monitoring result value is calculated to reflect the overall monitoring situation of the atmospheric environment; Air quality evaluation module: monitor the air quality of the construction site, establish the grade matrix and eigenvalue, and use the mass function to calculate the mass distribution based on the monitoring item parameters, combined with the weight and standard reference value to determine the interval reliability of different air quality grades; Early warning module: Build an atmospheric environment early warning model, determine the range of atmospheric quality evaluation levels, conduct graded assessments of the atmospheric environment quality at the construction site, and calculate the compliance rate, thereby achieving effective early warning and management of the atmospheric environment at the construction site.
2. The atmospheric environment monitoring system for monitoring a construction site according to claim 1, characterized in that: The data acquisition module determines the distribution area of the construction site, constructs an electronic map covering the distribution area, divides the distribution area into several sub-areas on the electronic map, sets monitoring points in each sub-area, sets a monitoring period, obtains the particle concentration, sulfur dioxide concentration, nitrogen oxide concentration, volatile organic matter content and carbon monoxide content of the distribution area within the monitoring period, and marks them as J1, J2, J3, J4, J5 in turn, and respectively combines the marked particle concentration J1, sulfur dioxide concentration J2, nitrogen oxide concentration J3, volatile organic matter content J4 and carbon monoxide content J5 with the corresponding reference particle concentration BJ1, reference sulfur dioxide concentration BJ2, reference nitrogen oxide concentration BJ3, reference volatile organic matter content BJ4 and reference carbon monoxide content BJ5, extracts the value of each data and obtains the contrast of the corresponding monitoring item by calculation. The specific calculation formula of the contrast is as follows: Among them, J i Indicates the value of the ith monitoring item in the actual monitoring data, BJ i represents the reference value corresponding to the ith monitoring item, and 1n represents the natural logarithmic function.
3. The atmospheric environment monitoring system for monitoring a construction site according to claim 1, characterized in that: The data analysis module matches the atmospheric environment data obtained by monitoring with the preset contrast threshold. If the contrast of a certain monitoring item is greater than the contrast threshold, the monitoring item is judged to be abnormal, and the corresponding time point is set as the monitoring initial point. At the same time, the duration of the monitoring cycle is shortened to obtain the monitoring adjustment period. Until the contrast is not greater than the contrast threshold, the corresponding time point is set as the monitoring end point. According to different monitoring initial points and monitoring end points, the total duration of the abnormal monitoring on that day is counted, and the monitoring results of each atmospheric monitoring item monitored daily are calculated. The monitoring result value is obtained by calculation. The calculation formula of the monitoring result value is as follows: Among them, M represents the monitoring result value, CR i represents the i-th monitoring item, w i Represents the weight coefficient of the i-th monitoring item.
4. The atmospheric environment monitoring system for monitoring a construction site according to claim 1, characterized in that: The air quality evaluation module uses yi to represent the signal collected by the i-th effective air environment monitoring sensor. The i-th air environment monitoring sensor uses the mapping rule ui=γi(yi) to quantify yi, and then transmits ui to the data center. Based on the received data, u={u1, u2, ...uN}, the air conditions of the monitored construction site are evaluated.
5. The atmospheric environment monitoring system for monitoring a construction site according to claim 4, characterized in that: The steps for evaluating the atmospheric conditions at the monitoring site are as follows: S1, let G = {g1, g2, g3, ..., g i }, represents the atmospheric quality parameter level matrix, g i Represents the current air quality level of the monitored construction site, let λ i ={λ i1 ,λ i2 ,...,λ im } T represents the characteristic value of all air quality levels, where T represents the number of air quality levels, and λ ij represents the characteristic values of m air quality parameters with air quality level i, where m represents the number of air quality parameters; S2. Classify the air quality of the monitored construction site into different levels and use the mass function to represent the interval confidence of different levels, μ i = {M(g1),M(g2),M(g i ),M(g t )},M(g i ) indicates that the air quality level of the monitoring site is judged to be g i The interval reliability of S3. Standardize each monitoring parameter. The standardized parameter values are Z1, Z2, Z3, Z4, and Z5. Set the weight coefficient of each monitoring parameter. The specific calculation formula for mass distribution is as follows: Among them, α1, α2, α3, α4 and α5 are the weight coefficients of each monitoring parameter. The μ i Used in subsequent mass functions to determine the interval confidence of different air quality levels.
6. The atmospheric environment monitoring system for monitoring a construction site according to claim 1, characterized in that: The early warning module constructs an early warning model by monitoring the classification results of the construction site atmospheric environment. First, the range of the air quality evaluation level is determined, that is, v = {v1, v2, v3, v4, v5}.
7. The atmospheric environment monitoring system for monitoring a construction site according to claim 6, characterized in that: The early warning model is constructed by first calculating the membership of each single factor to the air quality level according to the membership function and the measured values of the air quality indicators. Assuming that the air quality mainly considers the five indicators of particulate matter concentration J1, sulfur dioxide concentration J2, nitrogen oxide concentration J3, volatile organic matter content J4 and carbon monoxide content J5, the membership function formula of the i-th factor to the j-th air quality level is as follows: For the v1th air quality, its membership degree is: Among them, J i represents the measured value of the concentration of the i-th evaluation factor, a i1 It represents the evaluation value of the first category of the evaluation factor, a i2 It represents the evaluation value of the second category of the evaluation factor; For air quality categories v2, v3, and v4, i.e., j = 2, 3, and 4, the membership degree is: For v5 air quality, its membership degree is:
8. The atmospheric environment monitoring system for monitoring a construction site according to claim 7, characterized in that: The air quality compliance rate is calculated based on the air quality evaluation level. The air quality compliance rate is the ratio of the number of monitoring areas that meet the air quality indicators to the total number of monitoring areas. The specific calculation formula is as follows: Among them, FZ represents the number of monitoring areas that meet the standards, and FT represents the total number of monitoring areas. By constructing the above early warning model, the atmospheric environment quality of the construction site can be graded and evaluated, and the compliance rate can be calculated, thereby achieving effective early warning and management of the atmospheric environment of the construction site.