A wastewater classification evaluation and treatment method during plateau highway construction

Abstract

The present invention relates to a wastewater classification evaluation and treatment method in the process of plateau highway construction, wherein the wastewater classification evaluation method is to obtain different wastewater treatment data records: turbidity TU value and pH value, determine the wastewater grade L; establish a database, connect a cyclic neural network for training, and obtain a wastewater grade L evaluation model; determine the turbidity TU value of the wastewater sample to be evaluated; test with pH test paper, and take photos of the pH test paper and colorimetric card after color development; identify the acquired pH test photos through the YOLO algorithm, screen out the color card block and pH test paper area of ​​the standard pH value of the colorimetric card; compare and determine the wastewater pH value; S4, input the turbidity TU value and pH value into the wastewater grade L evaluation model, and determine the wastewater grade L. The present invention uses the RNN cyclic neural network algorithm training model to uniformly analyze and manage, and synchronously save the test photos and test data, with fast judgment speed and high data storage quality.

Description

Technical Field

[0001] The invention relates to wastewater treatment technology, in particular to a wastewater classification evaluation and treatment method in the process of plateau highway construction, which is applicable to the field of environmental protection technology in plateau areas. Background Art

[0002] During the construction of plateau highways, since the construction sites are usually in narrow valleys, the balance of the valley ecosystem is very fragile and can easily be lost due to construction wastewater. The climate change in the plateau valleys is drastic. If it is during the concentrated rainfall period or snowmelt period, natural rainwater / snow water will greatly amplify the pollution hazards of construction wastewater. Therefore, the construction wastewater discharge standards in plateau areas are more stringent, and the wastewater must be harmless after treatment.

[0003] In addition, since there may be less surface water flow in plateau areas and the carrying capacity of rivers / streams is weak, it is also necessary to consider the resource utilization of treated wastewater, such as reuse of construction wastewater after treatment, greening irrigation, etc., to avoid the damage of rivers / streams due to the artificial introduction of large amounts of water. However, plateau roads are located in remote plateau areas and are geographically far away from urban settlements, and often lack mature drainage systems and sewage treatment facilities. Even if the construction unit is prepared to fully purify the wastewater, the technical implementation of wastewater purification will be more difficult due to the complex plateau environment and difficulty in transporting materials.

[0004] In addition, the equipment maintenance cost of wastewater purification in plateau areas will be higher than that in plain areas. During the construction of plateau highways, the amount of wastewater discharged will also fluctuate greatly at different stages of the project construction, which further increases the difficulty of plateau construction wastewater treatment. Existing technologies have little research on the treatment of construction wastewater in plateau highways, especially the lack of research on the hierarchical management of wastewater.

[0005] A small number of studies on the hierarchical management of wastewater are mainly research reports on the hierarchical management of wastewater in urban environments. For example, Chinese invention patent CN201910628977.0 discloses a method for evaluating environmental impact factors of hospitals, including determining the environmental impact factors involved in the evaluation, constructing a technical evaluation index system, and determining the evaluation index correction parameters of each environmental impact factor; calculating the weight of each environmental impact factor evaluation index according to the evaluation index parameters of different environmental impact factors; constructing a grading coefficient for the evaluation index of each environmental impact factor; based on the weight and grading coefficient, obtaining the impact score of each environmental impact factor, and obtaining the total impact score according to the impact score of each environmental impact factor, so as to determine whether the environmental impact factor evaluation of the hospital entity has passed.

[0006] The invention technology is mainly aimed at the graded management of wastewater in urban hospital scenarios. Compared with the wastewater treatment during plateau highway construction, it has the following differences: (1) The main pollutants in the wastewater are relatively fixed and the treatment difficulty is relatively small; (2) The discharge of wastewater is relatively stable, and there is no problem of fluctuation in the total amount of wastewater; (3) There is ample space for the layout of wastewater treatment equipment, which can be planned in advance.

[0007] Plateaus are usually water conservation areas, and surface water bodies such as rivers and wetlands in plateau areas should be strictly protected to ensure water safety in downstream areas. If wastewater during the construction period of plateau highways is not properly treated, it will pollute the water environment and aquatic ecology along the route. Therefore, it is urgent to carry out research on the rapid treatment and reuse technology of construction wastewater to reduce the impact of highway construction on the water environment along the route, solve the key technical problems of construction wastewater treatment, and provide strong technical support for the smooth development of engineering construction. It has very important practical significance for comprehensively improving the concept of highway construction and transforming the transformation and upgrading mode of highway construction development.

[0008] During the construction of plateau highways, the wastewater classification evaluation and treatment must take into account the source and characteristics of the wastewater. If there are major changes in the pollution source, the wastewater treatment plan must be adjusted in a timely manner. In addition, the discharge of wastewater from plateau highway construction may fluctuate greatly. If the amount of wastewater increases significantly in a short period of time, some treatment processes may no longer be applicable, and necessary safeguards must be taken.

[0009] Then, plateau highway construction wastewater treatment must also pay attention to the complexity of wastewater sources, because different sources of wastewater have different pollutants, and the corresponding treatment process methods need to be adjusted accordingly. Therefore, it is of great significance to evaluate the grade of wastewater in the process of plateau highway construction and formulate targeted wastewater treatment plans for the ecological environment protection in the process of highway construction in plateau areas. Summary of the invention

[0010] The purpose of the present invention is to overcome the shortcomings of the prior art in the wastewater treatment during the construction of plateau highways, the lack of targetedness, the lack of management of wastewater pollution levels and treatment strategies, the traditional pH sensor measurement requires professional operation, ordinary workers at the construction site lack professional skills, and the data collected by the pH sensor is easily tampered with. A wastewater classification evaluation and treatment method during the construction of plateau highways is provided, which combines the use of a server to store image data for wastewater classification evaluation, and simultaneously completes the archiving of detection image data, so as to facilitate the accuracy of the wastewater classification evaluation results to be checked at any time.

[0011] In order to achieve the above-mentioned object of the invention, the present invention provides the following technical solutions:

[0012] A wastewater classification evaluation method in a highway construction process comprises the following steps:

[0013] S1. Obtain different wastewater treatment data records, each of which contains: turbidity TU and pH value;

[0014] Analyze the wastewater treatment data and determine the wastewater level L according to the harmfulness of the wastewater;

[0015] Establish a database, which includes: wastewater grade L, turbidity TU and pH value;

[0016] The database is connected to a recurrent neural network (RNN) for training to obtain a wastewater grade L evaluation model;

[0017] S2. Determine the turbidity TU value of the wastewater sample to be evaluated and transmit it to the first server;

[0018] S3. Test the wastewater sample to be evaluated with pH test paper, and take photos of the pH test paper and colorimetric card after color development to obtain pH test photos;

[0019] The pH test photo is transmitted to the second server, and the second server recognizes the pH test photo, and the acquired pH test photo is recognized by the YOLO algorithm, and the color card block of the standard pH value of the colorimetric card and the pH test paper area are screened out; the pH test paper after color development is cut, and the color block of the pH test paper is compared with the color card block of the standard pH value to determine the pH value of the wastewater;

[0020] S4. Input the turbidity TU value of the wastewater sample to be evaluated obtained in S2 and the wastewater pH value obtained in S3 into the wastewater grade L evaluation model of S1 to determine the wastewater grade L.

[0021] The present invention classifies wastewater in advance, establishes a database using different wastewater treatment record data, and evaluates the wastewater grade L. Then, the relationship between the wastewater grade L and the turbidity TU and pH value is trained using a recurrent neural network, thereby establishing a wastewater grade L evaluation model. Then, the turbidity TU and wastewater pH value that are easily obtained at the construction site quickly complete the wastewater grade division, and the evaluation model is combined with the training model to refer to the existing wastewater grade L experience for judgment, which has the advantage of unified management, and the corresponding wastewater grade L judgment speed is fast. Compared with the method of using a pH instrument to test pH, although the test paper test pH has a certain primitiveness and roughness, it is not limited to instruments and equipment, and there is no need to calibrate the pH meter regularly. It only needs to prepare pH test paper and conduct simple training for workers to complete the on-site wastewater pH value rapid test requirements. The obtained results are saved with images, are not easy to be tampered with, and have a higher credibility advantage.

[0022] At the same time, the first server and the second server can be the same server or different servers. The most important thing is that the original photos can be conveniently retained and managed on the server, which is convenient for checking and reviewing at any time to ensure scientific and standardized management of the construction site. Although the method of the present invention only uses turbidity TU and pH value to evaluate the wastewater grade, since both are the most direct parameters indicating the characteristics of wastewater pollution at the construction site, the accuracy is relatively high, and the accuracy will not be greatly reduced due to the small number of reference indicators. At the same time, due to the use of image acquisition technology, it can be easily promoted to the site where professional detection equipment is lacking, and it can also be combined with existing ordinary construction processes to facilitate the implementation of technical upgrades and iterations. In addition, the present invention adopts pH test paper test for pH test, which reduces the technical difficulty of construction site test, and ordinary workers can complete rapid measurement, and the measurement results are stored in the server through images, which can be checked at any time, eliminating the problem of data tampering.

[0023] The YOLO algorithm used in the present invention can be any version of YOLO, such as YOLOv5, YOLOv8, YOLOv10, etc.

[0024] Furthermore, the wastewater classification evaluation method in the process of highway construction of the present invention is a wastewater grade evaluation method applied to the process of plateau highway construction. The present invention uses a pH test paper test method, which is different from the pH meter test method and is not affected by the plateau environment. The color development effect of the pH test paper is stable and reliable, and the problem of abnormal operation of the instrument and equipment will not be caused by the plateau environment.

[0025] Furthermore, the first server and the second server are the same server.

[0026] Furthermore, the first server and the second server are different servers.

[0027] Further, the method for determining the turbidity TU value of the wastewater sample is: sampling the wastewater sample, measuring it with a turbidity meter, and obtaining the turbidity TU value of the wastewater sample. The turbidity value is transmitted to the first server as turbidity reference data.

[0028] Further, the turbidity TU value of the wastewater sample is determined. The specific method is as follows: first, a turbidity TU photo of the wastewater sample is obtained by the following method: a transparent sampling box with a depth of 1-5 cm is filled with wastewater, a photo is taken, and the photo is transmitted to the first server, and the turbidity TU photo is used instead of the turbidity TU value as the turbidity TU indicator.

[0029] Preferably, a smartphone or camera is used to take pictures to obtain the pictures. More preferably, a smartphone is used to facilitate the transmission of pictures to a server for processing.

[0030] The TU photos of wastewater samples are taken by filling a sampling box with a depth of 1-5 cm with wastewater and taking photos with a smartphone or camera. The box is filled with water, which makes it easy to control the depth of the wastewater for multiple photos, ensuring good image clarity and consistency.

[0031] Furthermore, a backlight is provided on the back of the sampling box to provide fill light and improve the clarity of the photograph.

[0032] Further, in S2, a wastewater sample turbidity TU photo is obtained, and the photo is transmitted to the first server; the first server performs binarization processing on the wastewater photo to obtain the wastewater turbidity TU value.

[0033] The turbidity of wastewater can be obtained by taking photos, and the TU value can be determined by using the turbidity photos of wastewater samples. The turbidity TU value can be easily determined. The image acquisition can be completed using conventional smart phones and other devices, and the images can be stored on the server for subsequent review and verification. The method of using wastewater sample turbidity TU photos for analysis and determination of turbidity is universal, but there are certain limitations on stability, and attention should be paid to the consistency control of the photo-taking process; it can be coordinated with the turbidity meter test data for collaborative processing and analysis to ensure the accuracy of the TU value and obtain photo backup data at the same time.

[0034] Further, in S2, a turbidity TU value of the wastewater sample is measured using a turbidity meter.

[0035] Preferably, the turbidity TU value measured by the turbidity meter and the turbidity TU photo can be included at the same time and transmitted to the first server. The first server processes the photo to obtain the turbidity TU value and the turbidity TU value measured by the turbidity meter for cross-validation.

[0036] Furthermore, in S3, a pH meter is used to test the pH value of the wastewater, and the pH value of the wastewater obtained by the pH meter test is used to correct the pH value obtained by the pH test paper test photo analysis. Using a pH meter to measure the pH value of the wastewater instead of a test strip for pH testing is convenient and fast, but it does not have an intuitive archiving function for the results of the pH test, and the pH meter needs to be calibrated. Some workers on the construction site lack experience in calibrating pH instruments. Obtaining pH values ​​through the pH test paper test method is convenient and robust, and the test results are mutually calibrated with a pH instrument, which is more scientific and convenient and suitable for scenarios with limited conditions.

[0037] Preferably, the pH meter is calibrated regularly.

[0038] Preferably, the pH value of the wastewater is determined by combining the on-site pH test paper test and the pH value of the wastewater with a pH meter, and the pH values ​​determined by both tests are transmitted to the second server, and the second server averages the two. At the same time, the second server stores the two pH values ​​for easy viewing and verification at any time.

[0039] The use of pH test strips for testing is low-cost and easy to operate, and multiple wastewater samples can be tested quickly and simultaneously. The pH value can be read directly using a pH meter, but regular calibration is required. Construction sites often have inaccurate test results due to long-term use of equipment and lack of calibration. pH test strips can effectively avoid this problem.

[0040] In addition, preferably, the pH meter and the detection device are communicatively connected to achieve automatic monitoring and data recording, and any time period can be captured.

[0041] Furthermore, the wastewater treatment data record also includes a wastewater conductivity value; the database includes: wastewater grade L, turbidity TU, wastewater conductivity value and pH value; between S2-S3, it also includes obtaining the conductivity of the wastewater sample to be evaluated, inputting the conductivity of the wastewater sample to be evaluated, the wastewater turbidity TU value and the wastewater pH value into the wastewater grade L evaluation model of S1 to determine the wastewater grade L.

[0042] A wastewater treatment method, comprising obtaining a wastewater grade L according to the wastewater grade evaluation method in the highway construction process described above;

[0043] Build a wastewater treatment solution database based on the acquisition of different wastewater treatment record data;

[0044] The wastewater treatment solution database includes: wastewater grade L, wastewater turbidity TU, pH value, flocculant dosage, and neutralizing agent dosage;

[0045] Determine the amount of flocculant based on the wastewater turbidity TU and wastewater grade L. The calculation formula is as follows:

[0046] Q 絮凝剂 =a*TU + b*L

[0047] in, Q 絮凝剂 is the amount of flocculant, a is the product coefficient of the wastewater turbidity TU value, TU is the wastewater turbidity TU value, b Based on wastewater grade L Revised coefficient, L is the wastewater grade L Numeric value.

[0048] Determine the amount of neutralizing agent based on the wastewater grade L and the wastewater pH value;

[0049] Q 中和试剂 =c*pH + d*L

[0050] Q 中和试剂 is the amount of neutralizing agent, c*pH To determine the basic neutralization reagent dosage by looking up the table, d*L To revise the value according to the wastewater grade. According to the pH value of the wastewater, the amount of neutralizing agent is determined by looking up the table, and then it is corrected according to the wastewater grade to achieve a reasonable calculation and determination of the amount of neutralizing agent in the wastewater.

[0051] A database is established based on the wastewater treatment record data, and the calculation formula for the dosage range of flocculants and neutralizers in the previous wastewater treatment process is fitted. Then, the corresponding reagent dosage is calculated based on the wastewater grade determined by the above method.

[0052] Reagents are added according to the calculated flocculant dosage and neutralizer dosage to complete the wastewater treatment.

[0053] According to the above method, the present invention determines the wastewater grade L according to the harmfulness of the wastewater, then establishes a database according to the wastewater treatment record data, uses the wastewater grade L, turbidity TU and pH value in the database to perform fitting equations, calculates the amount of flocculant and neutralizer that need to be added in the corresponding wastewater treatment process, completes the reagent addition application scientifically and accurately, achieves the purpose of effective wastewater treatment, and avoids the secondary pollution problem caused by unreasonable dosage of additives.

[0054] Furthermore, the neutralizing agent is hydrochloric acid, carbon dioxide or oxalic acid, preferably oxalic acid.

[0055] Hydrochloric acid is a colorless liquid (industrial hydrochloric acid may appear slightly yellow due to the presence of trivalent iron salts as an impurity). It is an aqueous solution of hydrogen chloride and has a pungent odor. Carbon dioxide is introduced into sewage to form a carbonic acid solution, which is used to neutralize alkaline wastewater. A compressor is required for assistance. Oxalic acid (H2C2O4): It is a metabolite of organisms, a dibasic weak acid, widely distributed in plants, animals, and fungi, and plays different functions in different life forms. It is widely distributed in nature and adding it to water will not cause greater impact on nature.

[0056] Furthermore, for wastewater with turbidity greater than 700, natural sedimentation is first carried out in a sedimentation tank, and then the wastewater grade L is measured after the supernatant overflows naturally, and corresponding wastewater treatment is carried out.

[0057] Compared with the prior art, the present invention has the following beneficial effects:

[0058] 1. The present invention grades wastewater according to turbidity and pH, collects and archives original data while dividing the wastewater grades, establishes a database using previous wastewater treatment data records, uses RNN recurrent neural network algorithm for model training, and performs unified analysis. When actually evaluating the wastewater grade L, computer technology is used for unified management, and wastewater pH test photos and turbidity test data are saved synchronously. The wastewater grade L is judged quickly and the data storage quality is high.

[0059] 2. The present invention utilizes TU and pH value to quickly complete wastewater grade classification, and makes a judgment through calculation and analysis combined with the existing wastewater grade L in the database. A single or multiple servers collaborate to realize rapid analysis and judgment of wastewater grade, which has the advantages of efficient and scientific management and is convenient for viewing original record data at any time. If the wastewater treatment effect is not ideal, the data can be quickly investigated to determine the problem and the treatment plan can be adjusted in time.

[0060] 3. The wastewater treatment method of the present invention uses the determined wastewater grade L, turbidity TU and pH value to calculate the dosage of the reagents. The dosage of the added flocculant and neutralizer is scientific and accurate, achieving the purpose of effective wastewater treatment and avoiding secondary pollution problems caused by unreasonable dosage of additives. BRIEF DESCRIPTION OF THE DRAWINGS

[0061] Figure 1 Flow chart of the wastewater classification evaluation method during highway construction. DETAILED DESCRIPTION

[0062] The present invention is further described in detail below in conjunction with test examples and specific implementation methods. However, this should not be understood as the scope of the above subject matter of the present invention being limited to the following embodiments, and all technologies realized based on the content of the present invention belong to the scope of the present invention.

[0063] Unless otherwise specified, in the description of the specific embodiments of the present invention, the terms indicating the orientation or position relationship such as "up", "down", "left", "right", "center", "inside", "outside", etc. are all expressions based on the orientation or position relationship shown in the drawings, or the orientation or position relationship when the invented product / equipment / device is usually used. These terms of orientation or position relationship are only for the convenience of describing the scheme of the present invention or simplifying the description in the specific embodiments, so as to facilitate the technicians to quickly understand the scheme, rather than indicating or implying that a specific device / component / element must have a specific orientation, or be constructed and operated in a specific position relationship, and therefore cannot be understood as a limitation on the present invention.

[0064] In addition, if the terms "horizontal", "vertical", "overhanging", "parallel" and the like appear, it does not mean that the corresponding devices / components / elements are required to be absolutely horizontal or vertical or overhanging or parallel, but may be slightly tilted or have deviations. For example, "horizontal" only means that its direction is more horizontal than "vertical", and does not mean that the structure must be completely horizontal, but may be slightly tilted. Alternatively, it can be simplified to mean that the corresponding devices / components / elements are set in directions such as "horizontal", "vertical", "overhanging", "parallel", etc., and can have an error / deviation of ±10% relative to the corresponding direction setting, more preferably an error / deviation within ±8%, more preferably an error / deviation within ±6%, more preferably an error / deviation within ±5%, and more preferably an error / deviation within ±4%. As long as the corresponding device / component / element is within the error / deviation range, it can still achieve its role in the scheme of the present invention.

[0065] In addition, the expressions “first”, “second”, “third”, etc. that appear in the terms are merely descriptions used to distinguish the same or similar components and should not be understood as emphasizing or implying the relative importance of specific components.

[0066] In addition, in the description of the embodiments of the present invention, "several", "plurality" and "a number" represent at least 2. It can be any number such as 2, 3, 4, 5, 6, 7, 8, 9, and even more than 9.

[0067] In addition, in the description of the technical solution of the present invention, unless otherwise clearly specified / defined / restricted, the terms "set", "install", "connect", "connected", "provided with", "laid", and "arranged" should be understood in a broad sense, for example, it can be a fixed connection, a detachable connection, or an integral connection, and can be welding, riveting, bolting, threading, and other commonly used connection means in the field. This connection can be a mechanical connection, an electrical connection, or a communication connection; it can be a direct connection, or an indirect connection through an intermediate medium, and it can be the internal connection of two elements.

[0068] Example 1

[0069] A wastewater classification evaluation method in highway construction process, such as Figure 1 The flowchart shown specifically includes the following steps:

[0070] S1. Obtain different wastewater treatment data records, each of which contains: turbidity TU value, conductivity and pH value; analyze the wastewater treatment data records and determine the wastewater level L according to the hazard of the wastewater.

[0071] A database is established, which includes: wastewater grade L, conductivity, turbidity TU value and pH value.

[0072] The database is connected to the recurrent neural network RNN ​​for training to obtain the wastewater level L evaluation model. Use python for recurrent neural network and algorithm training

[0073] import torch

[0074] import torch.nn as nn

[0075] import torch.optim as optim

[0076] # Define RNN model

[0077] class SimpleRNN(nn.Module):

[0078] def __init__(self, input_size, hidden_size, output_size):

[0079] super(SimpleRNN, self).__init__()

[0080] self.rnn = nn.RNN(input_size, hidden_size, batch_first=True)

[0081] self.fc = nn.Linear(hidden_size, output_size)

[0082] def forward(self, x):

[0083] out, _ = self.rnn(x)

[0084] out = self.fc(out[:, -1, :]) # Only take the last output of the sequence

[0085] return out

[0086] # Instantiate the model

[0087] model = SimpleRNN(input_size, hidden_size, output_size)

[0088] Input layer: receives turbidity TU value, conductivity and pH parameters as input.

[0089] Hidden layer: Calculates the hidden state of the current time step based on the input and the hidden state of the previous time step.

[0090] Output layer: Generates an output parameter: wastewater level L according to the hidden state of the current time step.

[0091] input_size = 3 # Conductivity, turbidity TU value and pH value are used as input parameters.

[0092] hidden_size = 5 # The size of the hidden layer can be freely chosen.

[0093] output_size = 1 # Wastewater level L. Set to the result label of the training dataset.

[0094] # Define loss function and optimizer

[0095] criterion = nn.MSELoss() # Assume regression.

[0096] optimizer = optim.Adam(model.parameters(), lr=0.01)

[0097] # Train the model

[0098] for epoch in range(100): # Train for 100 rounds, adjustable.

[0099] optimizer.zero_grad() #Eliminate gradient.

[0100] outputs = model(inputs) # Forward propagation.

[0101] loss = criterion(outputs, labels)

[0102] loss.backward() # Backward propagation.

[0103] optimizer.step() # Update weights.

[0104] if (epoch+1) % 10 == 0:

[0105] print(f'Epoch [{epoch+1} / 100], Loss: {loss.item():.4f}')

[0106] S2. Fill a sampling box with a depth of 1-5 cm with wastewater, set a light source on the back of the sampling box, use the light source to fill the light, use a smart phone or camera to take pictures, obtain the turbidity TU photos of the wastewater samples, and transmit them to the first server. The first server performs binarization on the wastewater photos to determine the turbidity TU value of the wastewater samples. Alternatively, use a turbidity meter to measure the turbidity TU value of the wastewater sample and transmit it to the first server. It is also possible to use two methods at the same time to test and obtain the turbidity TU value of the wastewater sample to be tested.

[0107] The first server cross-validates the turbidity TU value obtained by processing the photo and the turbidity TU value measured by the turbidity meter to eliminate obvious abnormal values.

[0108] S3. Use a pH meter to test the pH value of the wastewater and transmit it to the second server. Then, test the wastewater sample with pH test paper, and take photos of the pH test paper and colorimetric card after color development to obtain pH test photos. The pH test photos are transmitted to the second server, and the second server identifies the pH test photos, identifies the acquired pH test photos through the YOLOv8 algorithm, and screens out the color card blocks and pH test paper areas of the standard pH value of the colorimetric card; cut the pH test paper after color development, compare the color block of the pH test paper with the color card block of the standard pH value, determine the pH value of the wastewater, and the second server stores the two pH values. In practice, you can choose to use only the pH value measured by the pH test paper for subsequent analysis, and the pH value obtained by the pH tester can be used as a supplement. According to the situation at the construction site, select at least one of the two, and when the corresponding recurrent convolutional neural network training model is applied, select the corresponding pH data source.

[0109] In order to ensure that the pH test paper photo and the colorimetric card can be correctly identified, the pH test paper strips of the wastewater sample to be tested are uniformly placed on the right side of the colorimetric card, keeping a certain distance between the two.

[0110] S4. Input the turbidity TU value of the wastewater to be evaluated obtained in S2 and the pH value of the wastewater obtained in S3 into the wastewater grade L evaluation model of S1 to determine the wastewater grade L.

[0111] Taking the wastewater research of the entrance section of a certain tunnel as an example, the tunnel entrance section has been excavated to a depth of about 700m, and the tunnel water inflow is large, with a daily water inflow of 2000-6000m 3 / d. Due to the terrain, the entrance section of the tunnel is downhill, and the drainage method is reverse slope drainage. According to the on-site investigation, the sewage in the tunnel mainly comes from sewage generated by face excavation, grouting, secondary lining concrete maintenance, site washing, etc., as well as sewage caused by water pollution caused by construction disturbance.

[0112] As shown in the table below, photos of wastewater samples were taken on site, wastewater samples were taken at multiple different locations, and pH values ​​were measured using pH test paper. Some wastewater has a low degree of pollution and does not require the addition of flocculants or neutralizers separately. It can be discharged directly or transferred to a sedimentation tank for sedimentation before discharge.

[0113] Table 1: pH value of wastewater samples collected on site and tested with pH test paper

[0114]

[0115] Sampling and photographing are done on site. The samples are first stored in transparent containers and then analyzed in the laboratory. By collecting photos of the site, the photo data available on site and the data from laboratory analysis can be better integrated and processed. The data obtained through laboratory analysis can be corrected to avoid the problem of data error accumulation caused by simply using photos. Therefore, some wastewater samples are photographed and turbidity data is obtained by turbidity meter testing. At the same time, two methods are used to obtain related data for data correction.

[0116] Before construction, the wastewater discharged from the tunnel is tested for pH values ​​according to the location of the wastewater source, and photographs are taken using pH test paper combined with a colorimetric card. A pH meter is used to test the pH value at the same time, and the results of the two different methods are transmitted to the first server for storage.

[0117] Collect wastewater samples discharged from the tunnel and wastewater from various construction sites, take samples, and perform sample analysis. The obtained samples are added to a unified transparent sampling box, and a fill light is installed at the bottom of the sampling box to increase the backlight brightness of the sample. After taking pictures, obtain wastewater turbidity photos, transmit them to the second server, and store them. At the same time, the collected wastewater samples are measured with a turbidity meter to obtain the turbidity TU value of the wastewater.

[0118] According to the wastewater turbidity TU value and wastewater pH value, the wastewater grade L evaluation model is input and the wastewater grade L is determined by comparing with the existing data. The results are shown in the following table.

[0119] Table 2: Example of highway construction wastewater classification

[0120]

[0121] Among them, Samples 5 and 6 have high suspended matter content and high wastewater turbidity. At the same time, the pH value of the wastewater is alkaline, which can be neutralized by adding a neutralizer.

[0122] Compared with the traditional method of directly measuring turbidity and pH, the method of the present invention focuses more on image acquisition and processing, and uses the characteristics of images that are easy to observe and understand to facilitate statistical analysis of the characteristic status of original wastewater. The corresponding images can be stored for a long time, and the original images can be retrieved for viewing / analysis / review when necessary.

[0123] Example 2

[0124] On the basis of Example 1, the amount of additives was calculated and analyzed for the wastewater grade L, pH, and turbidity TU values ​​of wastewater samples 5 to 6 determined in Example 1. The amount of flocculant was determined according to the wastewater turbidity TU and wastewater grade L determined in the above table, and the calculation formula is as follows:

[0125] Q 絮凝剂 =a*TU + b*L

[0126] in, Q 絮凝剂 is the amount of flocculant, a is the product coefficient of the wastewater turbidity TU value, b Based on wastewater grade L Revised coefficient.

[0127] Determine the amount of neutralizing agent based on the wastewater grade L and the wastewater pH value;

[0128] Q 中和试剂 =c*pH + d*L

[0129] Q 中和试剂 is the amount of neutralizer used, c*pH To determine the basic neutralizing agent dosage by looking up the table, d*L The value is revised according to the wastewater grade.

[0130] According to the calculation results, flocculants and neutralizers are added and applied. After adding and applying flocculants and neutralizers, the parameters of the resulting wastewater are measured and the results are shown in the following table.

[0131] Table 3: Physical and chemical properties of wastewater after flocculation treatment

[0132]

[0133] The scheme is basically the same as Example 1, except that it also includes a wastewater conductivity value, the collected wastewater is subjected to conductivity measurement, the wastewater conductivity, wastewater turbidity TU value and wastewater pH value are input into the database, the wastewater grade L evaluation model is input, and the wastewater grade L is determined.

[0134] The wastewater classification evaluation method of the present invention adopts turbidity TU and pH indicators, and can also introduce wastewater conductivity indicators to scientifically evaluate the wastewater grade through multiple indicators. Among them, turbidity TU and pH can be photographed by a simple device to obtain data, and the relevant photos can be used for indicator judgment and can also be retained as original data, which is convenient for data processing and retrieval.

[0135] Example 3

[0136] During the construction of a certain tunnel, wastewater testing and analysis were conducted. The water in the tunnel was clear and transparent. After chemical analysis, it was determined that the pH was about 7.0, which was neutral. The pH of sewage ranged from 8 to 13, which was weakly alkaline to strongly alkaline. According to the tunnel construction process, a large amount of cement was used during the tunnel construction process. The main components of cement include CaO, SiO2, Al2O3, and Fe2O3, which are alkaline or strongly alkaline when in contact with water. Therefore, it can be concluded that the reason why the tunnel sewage is strongly alkaline is due to the use of cement during construction.

[0137] Table 4: Test results of physical and chemical properties of tunnel construction wastewater

[0138]

[0139] Unit: mg / L, pH dimensionless

[0140] During construction, the pH of sewage is roughly between 12 and 13, and its hydroxide ions (OH - ) content is about 0.01-0.1mol / L, and a corresponding proportion of oxalic acid needs to be added to neutralize it to a pH of 6-9. Now let's do a specific calculation and analysis (taking the treatment of one cubic meter of water as an example): 1 cubic meter of water (OH - ) concentration is 10-100 mol / m 3 , need to be processed to reach (OH - ) is 0.01 mol / m 3 The concentration is below 450g-4500g. The amount of oxalic acid can be fine-tuned according to the wastewater grade to achieve a more accurate addition amount, so that the neutralization effect of oxalic acid addition is better and the waste of oxalic acid addition is avoided. After treatment, the wastewater classification score is reduced to 0, reaching the discharge standard.

[0141] Example 4

[0142] In the process of treating mud wastewater from the pile foundation of a certain bridge, the output of mud wastewater from a single pile foundation is 3~4 m 3 / day, 1 capacity of about 10m is set on site 3 A simple sedimentation tank is used, in which wastewater stays for 2 to 3 days. The upper layer of water is pumped back for pile foundation construction without external discharge. The lower layer of mud is regularly dredged, dried and transported to the waste dump.

[0143] Visual inspection and rough test paper showed that the upper water body was light gray and suspended. The pH value measured by pH test paper was about 7, which was neutral. The turbidity TU was 13. The wastewater level L evaluation model trained in Example 1 was input to determine that the wastewater level L was 0. The wastewater was treated in a simple sedimentation tank with good results and met the discharge requirements.

[0144] By sampling and analyzing the water quality of the supernatant in the sedimentation tank, it was found that the significant characteristics of the wastewater from the bridge pile foundation impact drilling process are high turbidity, chromaticity, and total dissolved solids concentration. The main reason for this is that the bridge impact drilling process mainly uses clay to make slurry for balancing the well wall pressure, cooling the drill bit, protecting the hole wall, and suspending the drilling cuttings. Therefore, the mud concentration in the mud wastewater is high, and the turbidity, chromaticity, and total dissolved solids concentration of the supernatant in the mud wastewater are high.

[0145] In addition, since the impact drill steel rope is often coated with lubricating oil, petroleum substances are found in water monitoring. After the bridge pile foundation mud wastewater is treated in the sedimentation tank, since there are no petroleum (mechanical lubricating grease) pollutants in the recent period, it meets the discharge requirements after simple sedimentation treatment. The treated wastewater level L is 0.

[0146] Finally, according to the water sample monitoring results, the suspended solids, ammonia nitrogen, CODcr, petroleum and animal and plant oils in the supernatant of the bridge pile foundation mud wastewater after sedimentation treatment can meet the first-level standard of the "Integrated Sewage Discharge Standard" (GB8978-1996).

Claims

1. A method for wastewater classification evaluation and treatment during plateau highway construction, characterized in that: The following steps are involved: S1. Obtain different wastewater treatment data records, each wastewater treatment data record includes: turbidity TU value and pH value; Analyze the wastewater treatment data and determine the wastewater level L according to the harmfulness of the wastewater; Establish a database, which includes: wastewater grade L, turbidity TU value and pH value; The database is connected to a recurrent neural network for training to obtain a wastewater grade L evaluation model; S2. Determine the turbidity TU value of the wastewater sample to be evaluated, and transmit it to the first server; at the same time, include the turbidity TU value measured by the turbidity meter and the turbidity TU photo obtained by taking a photo, and transmit it to the first server; S3. Test the wastewater sample to be evaluated with pH test paper, and take photos of the pH test paper and colorimetric card after color development to obtain pH test photos; The pH test photo is transmitted to the second server, and the second server recognizes the pH test photo, and the acquired pH test photo is recognized by the YOLO algorithm to screen out the color card block and the pH test paper area of ​​the standard pH value of the colorimetric card; Cut the pH test paper after color development, compare the color block of the pH test paper with the color card block of the standard pH value, and determine the pH value of the wastewater; S4, inputting the turbidity TU value of the wastewater sample to be evaluated obtained in S2 and the wastewater pH value obtained in S3 into the wastewater grade L evaluation model of S1 to determine the wastewater grade L; The turbidity TU value of the wastewater sample is determined in the following specific method: first, a turbidity TU photo of the wastewater sample is obtained by the following method: a transparent sampling box with a depth of 1-5 cm is filled with wastewater, a photo is taken, and the photo is transmitted to the first server, and the turbidity TU photo is used instead of the turbidity TU value as the turbidity TU indicator; A backlight source is provided at the back of the sampling box; Obtain different wastewater treatment record data and build a wastewater treatment solution database; The wastewater treatment solution database includes: wastewater grade L, wastewater turbidity TU, pH value, flocculant dosage, and neutralizing agent dosage; Determine the amount of flocculant based on the wastewater turbidity TU and wastewater grade L. The calculation formula is as follows: Q 絮凝剂 =a×TU+b×L; in, Q 絮凝剂 is the amount of flocculant, a is the product coefficient of the wastewater turbidity TU value, TU is the wastewater turbidity TU value, b Based on wastewater grade L Revised coefficient, L is the wastewater grade L Numeric value; The amount of flocculant is obtained according to the calculation and added; Determine the amount of neutralizing agent based on the wastewater grade L and the wastewater pH value; Q 中和试剂 =c×pH+d×L; Q 中和试剂 is the amount of neutralizing agent, c×pH To determine the basic neutralization reagent dosage by looking up the table, d×L To revise the values ​​according to the wastewater grade; The amount of neutralizing agent is calculated and added.

2. According to claim 1, a method for wastewater classification evaluation and treatment during plateau highway construction, characterized in that: In S2, a wastewater sample turbidity TU photo is obtained and the photo is transmitted to a first server; the first server performs binarization processing on the wastewater photo to obtain a wastewater turbidity TU value.

3. According to claim 1, a method for wastewater classification evaluation and treatment during plateau highway construction, characterized in that: In S3, the pH value of the wastewater is tested using a pH meter.

4. According to claim 1, a method for wastewater classification evaluation and treatment during plateau highway construction, characterized in that: The wastewater treatment data record also includes the wastewater conductivity value; the database includes: wastewater grade L, turbidity TU, wastewater conductivity value and pH value; The steps between S2 and S3 also include obtaining the conductivity of the wastewater sample to be evaluated, inputting the conductivity, wastewater turbidity TU value and wastewater pH value of the wastewater sample to be evaluated into the wastewater grade L evaluation model of S1 to determine the wastewater grade L.

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