Sewage analyzing and monitoring method for micro-pollutant detection

Abstract

The invention relates to the field of micro-pollutant detection, and discloses a sewage analysis monitoring method for micro-pollutant detection, which comprises the following steps: S1, based on a multi-channel sampling device, carrying out water sample collection on a plurality of sewage discharge point locations at different time points; s2, sending the water sample collected in the S1 into a solid-phase extraction workstation to obtain a sample solution, the workstation being capable of identifying different types of solid-phase extraction columns, and automatically selecting an adaptive solid-phase extraction column according to the property of the to-be-detected micro-pollutant; s3, detecting the sample solution in the step S2 through real-time online detection equipment to obtain concentration values of various pollutants; and S4, comparing the concentration values of the various pollutants with a set upper limit value, and immediately calibrating a sewage discharge point corresponding to the sample solution once the pollutants exceeding the concentration upper limit value exist. According to the method, the conditions of long time consumption and serious hysteresis of traditional monitoring analysis are improved in a real-time monitoring mode.

Description

Technical Field

[0001] The present invention relates to the field of trace pollutant detection, and particularly to a sewage analysis and monitoring method for trace pollutant detection. Background Art

[0002] With the rapid development of industry and the acceleration of urbanization, the types and quantities of trace pollutants contained in sewage emissions are increasing day by day. These trace pollutants, such as heavy metal ions (mercury, lead, cadmium, etc.), persistent organic pollutants (polycyclic aromatic hydrocarbons, pesticide residues, etc.), and endocrine disruptors, even at extremely low concentrations in sewage, have high toxicity, bioaccumulation, and are difficult to degrade, posing a serious threat to the ecological environment and human health. For example, certain trace heavy metals can accumulate in organisms, affecting the normal physiological functions of organisms and even causing gene mutations; persistent organic pollutants can be transmitted through the food chain, damaging the reproductive, immune, and nervous systems of higher organisms.

[0003] In the existing field of sewage analysis and monitoring, there are many problems in the detection of trace pollutants. Traditional sewage sampling methods often fail to comprehensively and accurately reflect the true situation of trace pollutants in sewage. Single-point sampling cannot cover the temporal and spatial variations of pollutant concentrations and components during sewage discharge, while manual multi-point and multi-time sampling not only consumes a large amount of manpower and material resources, but also easily leads to the omission of key data due to unreasonable sampling time intervals.

[0004] Some traditional methods such as gas chromatography and liquid chromatography have good separation effects, but when faced with complex sewage samples, they are easily interfered by the matrix, and the detection process takes a long time, unable to meet the needs of real-time monitoring.

[0005] In view of the above problems, it is urgent to develop a sewage analysis and monitoring method for trace pollutant detection to better cope with the increasingly severe sewage pollution challenges. Summary of the Invention

[0006] The purpose of the present invention is to provide a sewage analysis and monitoring method for trace pollutant detection to solve the above technical problems.

[0007] The purpose of the present invention can be achieved by the following technical solutions:

[0008] A sewage analysis and monitoring method for trace pollutant detection includes:

[0009] S1. Based on a multi-channel sampling device, water samples are collected from multiple sewage discharge points at different time points;

[0010] S2. After the water sample collected in S1 is sent into the solid-phase extraction workstation, a sample solution is obtained. The workstation can identify different types of solid-phase extraction columns and automatically select a suitable solid-phase extraction column according to the properties of the trace pollutants to be detected.

[0011] S3. Detect the sample solution in S2 through a real-time online detection device to obtain the concentration values of various pollutants.

[0012] S4. Compare the concentration values of various pollutants with the set upper limit values. Once there are pollutants exceeding the concentration upper limit values, immediately calibrate the sewage discharge point corresponding to the sample solution.

[0013] S5. Combine the historical data of the corresponding sewage discharge point and the real-time data within the next cycle for analysis to obtain the concentration trend values of each pollutant exceeding the concentration upper limit value, and then obtain the pollution tendency degree of the sewage discharge point by summation. Judge whether to issue a pollution warning for the sewage discharge point according to the pollution tendency degree.

[0014] As a further technical solution, the real-time online detection device includes one or more of an electrochemical sensor, an ultraviolet-visible spectrophotometer, a fluorescence spectrometer, and a portable mass spectrometer.

[0015] As a further technical solution, the method for combining the historical data of the corresponding sewage discharge point and the real-time data within the next cycle for analysis is as follows:

[0016] S51. Fit to obtain the curve R(t) of the change of the pollutant concentration value over time within multiple consecutive historical cycles, and quantify the change amount FA of the pollutant concentration value within each historical cycle by integration; assign weights to each historical cycle through a judgment function, that is, when the change amount FA within each historical cycle i exceeds the set threshold, the weight corresponding to this historical cycle is 2, otherwise the weight corresponding to this historical cycle is 1. Combine the change amount FA of the pollutant concentration value within each historical cycle i and the corresponding weight for calculation to obtain the historical pollutant concentration change amount FA i ; Z ;

[0017] S52. Starting from the current moment, obtain the curve K(t) of the real-time pollutant concentration value over time within the next cycle.

[0018] S53. Take the change amplitude of the pollutant concentration within the sub-cycle as the measurement change amount Fb j , and calculate the real-time pollutant concentration change amount FB by combining the ratio of the measurement change amount Fb j and the historical pollutant concentration average value and performing summation averaging.z ;

[0019] S54. After standardizing the change amount of historical pollutant concentration values and the real-time pollutant concentration change, calculate the pollutant concentration trend value in the way of weighted summation.

[0020] As a further technical solution, the calculation formula for the change amount of historical pollutant concentration values is: ta - tb represents the start time and end time of the historical period; substitute it into the following formula: Calculate the change amount of historical pollutant concentration values FA Z , n represents the number of historical periods, i represents the i-th historical period, ω i represents the weight of the i-th historical period.

[0021] As a further technical solution, the judgment function expression of the weight ω i is: where, is a set threshold.

[0022] As a further technical solution, the calculation formula for the change amount of real-time pollutant concentration is: where, N represents the number of sub-periods, R max , R min are respectively the maximum value and minimum value of the pollutant concentration in the j-th sub-period.

[0023] As a further technical solution, the method for setting the interval duration between sub-periods is:

[0024] Set the interval duration between sub-periods according to the change amount of pollutant concentration values in the most recent historical period in S51.

[0025] As a further technical solution, substitute the calculated change amount of pollutant concentration values FA i in the most recent historical period into the formula:

[0026]

[0027] Calculate the interval duration T1 between sub-periods; where, T0 is the initial interval duration between sub-periods, ρ is an adjustment coefficient determined based on historical data analysis, is the standard deviation determined through historical data analysis.

[0028] The beneficial effects of the present invention:

[0029] (1) Using a multi-channel sampling device to collect water samples at multiple sewage discharge points at different time points can comprehensively cover the spatio-temporal changes in pollutant concentrations and components during the sewage discharge process. Compared with traditional single-point sampling or manual multi-point and multi-period sampling, it greatly improves the accuracy and representativeness of sampling, effectively avoids missing key data, and provides a reliable sample basis for subsequent precise detection and analysis;

[0030] (2) By using real-time online detection equipment, various pollutant concentration values can be obtained quickly, which changes the drawback of the long time-consuming traditional detection method and realizes real-time monitoring; once it is found that the pollutant concentration exceeds the upper limit value, the corresponding sewage discharge point is immediately calibrated, enabling relevant personnel to take timely measures, such as tracing back and investigating, treating the pollution source, etc., effectively reducing the risk of pollution diffusion and ensuring the safety of the ecological environment;

[0031] (3) Combining the historical data and subsequent real-time data of the sewage discharge points for comprehensive analysis, calculating the pollutant concentration trend value and pollution tendency degree, and using this to judge whether to issue a pollution warning. This method fully considers the change trend of pollutant concentration, can more scientifically predict the development trend of pollution, and provides strong support for environmental management and pollution prevention and control decisions in advance, making the response measures more targeted and forward-looking. BRIEF DESCRIPTION OF THE DRAWINGS

[0032] The present invention will be further described below with reference to the accompanying drawings.

[0033] Figure 1 It is a method step diagram of the present invention. DETAILED DESCRIPTION OF THE INVENTION

[0034] The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only a part of the embodiments of the present invention, rather than all the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative efforts shall fall within the protection scope of the present invention.

[0035] Please refer to Figure 1 As shown, the present invention is a sewage analysis and monitoring method for detecting trace pollutants, including:

[0036] S1. Based on a multi-channel sampling device, water samples are collected at multiple sewage discharge points at different time points;

[0037] S2. After sending the water sample collected in S1 into the solid-phase extraction workstation, a sample solution is obtained. The workstation can identify different types of solid-phase extraction columns and automatically select a suitable solid-phase extraction column according to the properties of the trace pollutants to be detected. It should be noted that the workstation is equipped with a high-precision peristaltic pump, which can accurately control the flow rate of the sewage sample through the solid-phase extraction column to achieve efficient adsorption. At the same time, it is equipped with an automatic elution device, which can elute the solid-phase extraction column adsorbed with trace pollutants with a suitable eluent according to a preset program to obtain an enriched sample solution.

[0038] S3. Detect the sample solution in S2 through a real-time online detection device to obtain the concentration values of various pollutants.

[0039] S4. Compare the concentration values of various pollutants with the set upper limit values. Once there are pollutants exceeding the concentration upper limit value, immediately calibrate the sewage discharge point corresponding to the sample solution.

[0040] S5. Combine the historical data of the corresponding sewage discharge point and the real-time data within the next cycle for analysis to obtain the concentration trend values of each pollutant exceeding the concentration upper limit value, and then obtain the pollution tendency degree of the sewage discharge point by summation. Judge whether to issue a pollution warning for the sewage discharge point according to the pollution tendency degree.

[0041] The real-time online detection device includes one or more of an electrochemical sensor, an ultraviolet-visible spectrophotometer, a fluorescence spectrometer, and a portable mass spectrometer.

[0042] In this embodiment, the multi-channel sampling device collects water samples at different time points within a day (such as 2 am, 10 am, 4 pm, etc.) according to a set program at multiple discharge points (including the drainage outlets of different production lines). After the collected water samples enter the solid-phase extraction workstation, the workstation automatically selects a suitable solid-phase extraction column according to the properties of trace pollutants such as mercury and polycyclic aromatic hydrocarbons to be detected. The high-precision peristaltic pump accurately controls the flow rate to make the sewage sample fully contact with the solid-phase extraction column and efficiently adsorb pollutants. Then, the automatic elution device elutes with a suitable eluent to obtain an enriched sample solution. The real-time online detection device composed of an electrochemical sensor and a portable mass spectrometer is used to detect the sample solution to accurately measure the concentrations of mercury and polycyclic aromatic hydrocarbons.

[0043] Compare the detected pollutant concentration values with the set upper limit values. If it is found that the concentration of polycyclic aromatic hydrocarbons at a certain discharge outlet exceeds the upper limit, the system immediately calibrates the position of the discharge outlet, and environmental protection supervisors can quickly arrive at the scene to inspect the relevant production line and timely discover possible leakage points or abnormal treatment processes to avoid continuous excessive discharge of polycyclic aromatic hydrocarbons from polluting the surrounding water bodies and soil.

[0044] By collecting the historical data of the discharge outlet, fitting the pollutant concentration change curve within the historical period, calculating the change amount of the historical pollutant concentration value, and assigning corresponding weights according to the situation where the change amount exceeds the threshold, the change amount of the historical pollutant concentration value is obtained; at the same time, starting from the current moment, obtaining the real-time pollutant concentration change curve within the next period, calculating the real-time pollutant concentration change amount according to the concentration change amplitude within the sub-period, standardizing and weighted summing the two to obtain the pollutant concentration trend value, and then calculating the pollution tendency; if the pollution tendency reaches the warning threshold, the system issues a pollution warning, and the park management department adjusts the sewage treatment process parameters in advance according to the warning, or strengthens the supervision of the relevant production lines to effectively prevent potential pollution events and ensure the environmental quality of the park and its surrounding areas.

[0045] The method for analyzing by combining the historical data of the corresponding sewage discharge point and the real-time data within the next period is as follows:

[0046] S51. Fit and obtain the curve R(t) of the pollutant concentration value changing with time within multiple consecutive historical periods, and quantify the change amount FA of the pollutant concentration value within each historical period by integration; assign weights to each historical period through a judgment function, that is, when the change amount FA within each historical period i exceeds the set threshold, the weight corresponding to this historical period is 2, otherwise the weight corresponding to this historical period is 1. Combine the change amount FA of the pollutant concentration value within each historical period i and the corresponding weights for calculation to obtain the change amount FA of the historical pollutant concentration value i ; Z ;

[0047] S52. Starting from the current moment, obtain the curve K(t) of the real-time pollutant concentration value changing with time within the next period;

[0048] S53. Use the pollutant concentration change amplitude within the sub-period as the measurement change amount Fb j , and calculate the measurement change amount Fb j and the average value of the historical pollutant concentration according to the ratio and combined summation average to obtain the real-time pollutant concentration change amount FB z ;

[0049] S54. After standardizing the change amount of the historical pollutant concentration value and the real-time pollutant concentration change, calculate the pollutant concentration trend value by weighted summation.

[0050] In this embodiment, the overall method framework for calculating the pollutant concentration trend value by combining historical data and future real-time data is clarified. Its function is to construct a system for comprehensively analyzing pollution dynamics, correlate the pollutant concentration changes in the past and the future, and point the way for the subsequent specific calculation steps. By fitting the historical cycle curve, quantifying the change amount, assigning weights to calculate the change amount of the historical pollutant concentration value, and obtaining the real-time curve and calculating the real-time pollutant concentration change amount by sub-cycle, and finally performing standardized processing and weighted summation to obtain the trend value, it provides a systematic idea for monitoring the pollution trend of the sewage discharge outlet, ensuring that the analysis process is comprehensive and well-organized.

[0051] The calculation formula for the change amount of the historical pollutant concentration value is: ta - tb represents the start time and end time of the historical cycle; substitute it into the following formula: Calculate the change amount of the historical pollutant concentration value FA Z , n represents the number of historical cycles, i represents the i-th historical cycle, ω i represents the weight of the i-th historical cycle. In this embodiment, focusing on the calculation of the change amount of the historical pollutant concentration value, a specific calculation formula is given. This formula quantifies the change amount of the pollutant concentration in each historical cycle, clarifies the relationship between the start and end times of the historical cycle and the change amount, makes the calculation process more accurate and standardized, thus accurately reflecting the actual change of the pollutant concentration in different historical periods, providing reliable historical data support for the subsequent comprehensive analysis, and enhancing the scientificity and rigor of the monitoring method in dealing with historical data;

[0052] The weight ω i The judgment function expression is: Among them, is the set threshold.

[0053] In this embodiment, the weight assignment rule is further refined, and the judgment function expression of the weight is given The function is to dynamically adjust the weight of the historical cycle according to the comparison result between the change amount of the pollutant concentration in the historical cycle and the set threshold. When the change amount exceeds the threshold, a higher weight is assigned, highlighting the impact of those historical cycles with larger concentration changes on the overall analysis, more reasonably reflecting the importance differences of different cycles in the historical data, and making the finally calculated change amount of the historical pollutant concentration value better reflect the actual pollution fluctuation characteristics and improve the accuracy of the analysis results.

[0054] The calculation formula for the real-time pollutant concentration change amount is: Among them, N represents the number of sub-cycles, R max 、R min are respectively the maximum value and minimum value of the pollutant concentration in the j-th sub-cycle.

[0055] In this example, a specific formula is given for calculating the change amount of the real-time pollutant concentration. This formula calculates the change range based on the maximum and minimum values of the pollutant concentration within a sub-cycle, and performs a summation average calculation in combination with the historical average pollutant concentration; in this way, the fluctuations of real-time data in different sub-cycles are fully considered, and at the same time, combined with the historical average level, the calculation of the change amount of the real-time pollutant concentration is more in line with the actual monitoring situation, can more accurately reflect the real-time change trend of the pollutant concentration in the current sewage, and provides more accurate data for judging the pollution tendency.

[0056] Through the above technical solution, a specific method for calculating the pollutant concentration trend value by combining historical and real-time data is described; in the sewage monitoring scenario of an industrial park, by fitting the curve of the pollutant (such as the persistent organic pollutant polychlorinated biphenyl) concentration changing with time in the historical cycle, quantifying the change amount of the concentration in each historical cycle, and assigning weights according to the comparison between the change amount and the set threshold, the influence of the cycle with a large concentration change can be highlighted; when calculating the change amount of the real-time pollutant concentration, it is calculated based on the relationship between the change range of the concentration within the sub-cycle and the historical average value, making the result more in line with the actual change situation; for example, calculating the pollutant concentration trend value of polychlorinated biphenyl at a certain discharge outlet accurately reflects the trend of its concentration change; when the trend value shows that there is a risk of continuous increase in concentration, the environmental protection department can accurately judge the development trend of pollution, require the enterprise to check the production links, and find that a certain equipment is not tightly sealed, resulting in the leakage of polychlorinated biphenyl, and repair the equipment in time to prevent the further deterioration of pollution.

[0057] The method for setting the sub-cycle interval duration is as follows:

[0058] Set the interval duration of the sub-cycle according to the change amount of the pollutant concentration value in the most recent historical cycle in S51.

[0059] Substitute the calculated change amount FA of the pollutant concentration value in the most recent historical cycle i into the formula:

[0060]

[0061] Calculate the sub-cycle interval duration T1; where, T0 is the initial sub-cycle interval duration, ρ is an adjustment coefficient determined based on historical data analysis, is the standard deviation, determined through historical data analysis.

[0062] In this embodiment, a method for setting the sub-period interval duration according to the change amount of pollutant concentration values in the most recent historical period is defined. Taking the sewage monitoring of a certain printing and dyeing factory as an example, if during a certain stage, it is found through historical data analysis that the concentration of dye pollutants in the sewage changes drastically, the sub-period interval duration is calculated to be shortened through a formula. In subsequent monitoring, real-time data is collected more frequently to promptly capture abnormal dye emissions caused by production process adjustments. Since the monitoring interval is shortened, problems can be detected in the initial stage of pollution, avoiding the discharge of a large amount of over-standard sewage, reducing the impact on the surrounding water environment, and at the same time reducing the enterprise's later pollution control costs.

[0063] It should be noted that the calculation formula and each parameter participating in the operation in the present invention have been pre-dimensionless processed, and the process of dimensionless processing is well-known in the industry and will not be described here.

[0064] The above has described a specific embodiment of the present invention in detail, but the described content is only a preferred embodiment of the present invention and cannot be considered as limiting the scope of implementation of the present invention. Any equivalent changes and improvements made within the scope of the application of the present invention should still fall within the scope covered by the patent of the present invention.

Claims

1. A sewage analysis and monitoring method for detecting trace pollutants, characterized in that, Including: S1. Based on a multi-channel sampling device, water samples are collected from multiple sewage discharge points at different time points; S2. The water samples collected in S1 are sent into a solid-phase extraction workstation to obtain sample solutions. The workstation can identify different types of solid-phase extraction columns and automatically select a suitable solid-phase extraction column according to the properties of the trace pollutants to be detected; S3. The sample solutions in S2 are detected by a real-time on-line detection device to obtain the concentration values of various pollutants; S4. The concentration values of various pollutants are compared with the set upper limit values. Once there are pollutants exceeding the concentration upper limit values, the sewage discharge points corresponding to the sample solutions are immediately calibrated.

2. The sewage analysis and monitoring method for trace pollutant detection according to claim 1, characterized in that, The method further includes: S5. Combining the historical data of the corresponding sewage discharge points and the real-time data in the next cycle for analysis to obtain the pollutant concentration trend values of each pollutant exceeding the concentration upper limit value, and then obtaining the pollution tendency degree of the sewage discharge point by summation. Whether to issue a pollution warning for the sewage discharge point is judged according to the pollution tendency degree; The real-time on-line detection device includes one or more of an electrochemical sensor, an ultraviolet-visible spectrophotometer, a fluorescence spectrometer, and a portable mass spectrometer.

3. The sewage analysis and monitoring method for trace pollutant detection according to claim 2, characterized in that, The method for combining the historical data of the corresponding sewage discharge points and the real-time data in the next cycle for analysis is: S51. Fit to obtain the curve R(t) of the pollutant concentration value changing with time in successive historical periods, and quantify the change amount FA of the pollutant concentration value in each historical period by integration; assign weights to each historical period through a judgment function, that is, when the change amount FA i in each historical period exceeds the set threshold, the weight corresponding to this historical period is 2, otherwise the weight corresponding to this historical period is 1. Combine the change amount FA i of the pollutant concentration value in each historical period and the corresponding weight for calculation to obtain the change amount FA i of the historical pollutant concentration value; Z ; S52. Taking the current moment as the starting point, obtaining the time-varying curve K(t) of the real-time pollutant concentration values in the next cycle; S53. Take the change range of pollutant concentration within a sub-cycle as the measurement change amount Fb j , and take the measurement change amount Fb j and the historical average pollutant concentration . Calculate according to the ratio and combine the sum average to obtain the real-time pollutant concentration change amount FB z ; S54. After standardizing the change amount of the historical pollutant concentration values and the change of the real-time pollutant concentration, the pollutant concentration trend value is calculated by weighted summation.

4. The sewage analysis and monitoring method for trace pollutant detection according to claim 3, characterized in that, The calculation formula for the change amount of the historical pollutant concentration value is as follows: ta - tb represents the start time and end time of the historical period; substitute into the following formula: Calculate the change amount FA of the historical pollutant concentration value Z , n represents the number of historical periods, i represents the i-th historical period, ω i represents the weight of the i-th historical period.

5. The sewage analysis and monitoring method for trace pollutant detection according to claim 4, wherein The weight ω i has a judgment function expression as follows: where is a set threshold value.

6. The sewage analysis and monitoring method for trace pollutant detection according to claim 3, characterized in that, The calculation formula for the change amount of the real-time pollutant concentration is as follows: where N represents the number of sub-cycles, and R max , R min are respectively the maximum and minimum values of the pollutant concentration in the j-th sub-cycle.

7. The sewage analysis and monitoring method for trace pollutant detection according to claim 6, characterized in that, The method for setting the sub-cycle interval duration is: The interval duration of the sub-cycle is set according to the change amount of the pollutant concentration values in the most recent historical cycle in S51.

8. The sewage analysis and monitoring method for trace pollutant detection according to claim 7, characterized in that, Substitute the calculated change amount FA of the pollutant concentration value in the most recent historical period into the formula: i Substitute into the formula: Calculate the sub-period interval duration T1; where T0 is the initial sub-period interval duration, and ρ is an adjustment coefficient determined based on historical data analysis. is the standard deviation, determined through historical data analysis.

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