A method for checking mixed connection of a drainage unit based on fluorescence detection

Abstract

The application discloses a kind of inside mixed mistake connection of drainage unit based on fluorescence detection and is searched for method, including obtaining the first outlet water sample and second outlet water sample of target drainage unit under preset meteorological condition.The first outlet water sample and second outlet water sample of the application are obtained in the water use peak period of sunny day working condition and rainy day working condition of preset meteorological condition respectively, the first outlet water sample and second outlet water sample are carried out fluorescence spectrum detection to obtain corresponding first fluorescence characteristic parameter and second fluorescence characteristic parameter, obtain protein fluorescence data and humic fluorescence data in first fluorescence characteristic parameter and second fluorescence characteristic parameter, according to protein fluorescence data and humic fluorescence data corresponding to sunny day working condition and rainy day working condition, protein fluorescence data and humic fluorescence data are compared with preset threshold value and the relative change rate is calculated, to obtain the mixed connection type in the inside of drainage unit and whether there is wrong connection condition.

Description

Technical Field

[0001] This invention relates to the field of municipal engineering technology, specifically a method for troubleshooting misconnections within drainage units based on fluorescence detection. Background Technology

[0002] Currently, urban drainage pipe networks suffer from problems such as mixed rainwater and sewage connections and structural defects, leading to sewage mixing and large amounts of low-concentration external water (such as groundwater infiltration and rainwater inflow) entering the sewage system.

[0003] Existing geophysical exploration methods rely on imaging inside pipelines, which requires complex pre-treatment such as water cut-off and dredging, resulting in high manpower and time costs, and making it difficult to accurately determine the type and source of external water. Although traditional water quality characteristic factor methods can reflect changes in water quality, they are difficult to accurately distinguish between different mixed pollution sources such as black water, grey water and rainwater, and the detection is relatively cumbersome, making it difficult to achieve rapid and large-scale preliminary screening. The efficiency of investigating mixed connections inside drainage units is low, the investigation cost is high, and the effect of use is not good. Summary of the Invention

[0004] The purpose of this invention is to provide a method for troubleshooting misconnections within drainage units based on fluorescence detection, in order to solve the problems mentioned above, such as the difficulty in achieving rapid and large-scale preliminary screening, low efficiency in troubleshooting misconnections within drainage units, and high investigation costs.

[0005] To achieve the above objectives, the present invention provides the following technical solution: A method for troubleshooting misconnections within a drainage unit based on fluorescence detection, comprising: Obtain water samples from the first and second outlets of the target drainage unit under preset meteorological conditions; After pretreatment, the first outlet water sample is subjected to fluorescence spectral detection using a fluorescence detection device to obtain the first fluorescence characteristic parameter. After pretreatment, the second outlet water sample is subjected to fluorescence spectral detection using a fluorescence detection device to obtain the second fluorescence characteristic parameter. The first fluorescence feature parameter is compared with a preset threshold to determine the type of mixing inside the drainage unit; The relative change rate is obtained by calculating the first fluorescence characteristic parameter and the second fluorescence characteristic parameter. The relative change rate is compared with the preset change rate to determine whether there is a misconnection inside the drainage unit.

[0006] As a further aspect of the present invention: obtaining the first and second outlet water samples of the target drainage unit under preset weather conditions includes: The preset meteorological conditions include sunny day conditions and rainy day conditions. The sunny day conditions are used for diagnosing mixed connections within the drainage unit, and the rainy day conditions are used for diagnosing incorrect connections within the drainage unit. During peak water usage periods on sunny days, visually observe the water flow conditions at the sewage main outlet manhole and the rainwater main outlet manhole of the drainage unit. If there is water flow, a water sample is collected from the main sewage outlet manhole to obtain a clear water sample, and a water sample is collected from the main rainwater outlet manhole to obtain a clear rainwater sample. The clear water sample and the clear rainwater sample together form the first outlet water sample. Water samples were collected from the sewage outlet inspection well during the peak water usage period in rainy weather to obtain the second outlet water sample.

[0007] As a further aspect of the present invention: the collection of water samples from the sewage main discharge well and the collection of water samples from the rainwater main discharge well include: Collect the overlying water inside the sewage main outlet manhole and the rainwater main outlet manhole, wherein the overlying water inside the manhole includes water samples within a preset water depth range below the liquid surface; Within the water cover area inside the main sewage outlet inspection well and the main rainwater outlet inspection well, several water samples of a preset capacity are continuously collected within a preset time. After mixing the water samples of the preset capacity in equal volumes, the first outlet water sample and the second outlet water sample are obtained respectively.

[0008] As a further aspect of the present invention: the process of pretreating the first outlet water sample and then performing fluorescence spectral detection using a fluorescence detection device to obtain a first fluorescence characteristic parameter, and pretreating the second outlet water sample and then performing fluorescence spectral detection using the same device to obtain a second fluorescence characteristic parameter, includes: The clear-water sample and the rainwater sample from the first outlet were pretreated separately. The pretreated clear-water sample was then subjected to fluorescence spectroscopy using a fluorescence detection device to obtain protein fluorescence data, which were then labeled as follows: After pretreatment, the rainwater samples were subjected to fluorescence spectroscopy using a fluorescence detection device to obtain protein fluorescence data and humic fluorescence data, which were then labeled as follows: ; The , The first fluorescence characteristic parameter is formed; The second outlet water sample was pretreated, and protein fluorescence data were obtained by fluorescence spectroscopy detection using a fluorescence detection device and labeled as follows. The A second fluorescence characteristic parameter is formed.

[0009] As a further aspect of the present invention: the preprocessing includes: The dry wastewater sample and the rainwater sample from the first outlet water sample are filtered through filter membranes to remove solid impurities from the dry wastewater sample and the rainwater sample, respectively. The second outlet water sample is filtered through a filter membrane to remove solid impurities from the second outlet water sample.

[0010] As a further aspect of the present invention: comparing the first fluorescence feature parameter with a preset threshold to determine the mixing type within the drainage unit includes: Protein fluorescence data from the first fluorescence characteristic parameters Fluorescence data of humic substances The type of cross-connection within the drainage unit is determined by comparing it with a preset threshold. The determination of mixed connection type includes: The preset threshold includes a first preset threshold, a second minimum preset value, and a second maximum preset value; when and All values ​​do not exceed the first preset threshold, and are therefore determined to be either no cross-connection or low-pollution water cross-connection. when Greater than the first preset threshold, and If the value does not exceed the second minimum preset value, it is determined to be a grey-water mixing. when Greater than the first preset threshold, and If the value exceeds the second maximum preset value, it is determined to be a black water mixing. when Greater than the first preset threshold, and If the value is greater than the second minimum preset value but not greater than the second maximum preset value, it is determined to be a mixed connection.

[0011] As a further aspect of the present invention: the calculation of the relative change rate of the first fluorescence characteristic parameter and the second fluorescence characteristic parameter, and the comparison of the relative change rate with a preset change rate to determine whether there is a misconnection inside the drainage unit, includes: Protein fluorescence data from the first fluorescence characteristic parameters Compared with protein fluorescence data in the second fluorescence characteristic parameter The relative rate of change δ was calculated. δ= ×100%; like If the rate of change does not exceed the preset rate, there will be no misconnection inside the target drainage unit; like If the rate of change is greater than the preset rate of change, then the target drainage unit has rainwater misconnection into the flow.

[0012] As a further aspect of the present invention: the preset change rate is in the range of 3% to 10%, wherein the preset change rate is determined based on the detection stability of the fluorescence detection device.

[0013] As a further aspect of the present invention: the fluorescence detection device is a portable fluorescence detection device, which is used to excite and receive excitation light in the range of 275nm to 340nm and 275nm to 450nm.

[0014] As a further aspect of the present invention, it also includes: The mixed connection types and whether there are misconnections within the drainage unit are summarized into diagnostic information, which is then uploaded to a mobile terminal or cloud platform via wireless transmission.

[0015] Compared with the prior art, the beneficial effects of the present invention are: 1. In this invention, water samples from the first and second outlets of the target drainage unit are obtained during peak water usage periods under preset weather conditions (sunny and rainy days). Fluorescence spectroscopy is performed on the first and second outlet samples to obtain corresponding first and second fluorescence characteristic parameters. Protein-based and humic fluorescence data are obtained from these parameters. Based on the protein-based and humic fluorescence data corresponding to the sunny and rainy days, the data are compared with preset thresholds, and the relative change rate is calculated to determine the type of mixed connections within the drainage unit and whether misconnections exist. This allows for rapid diagnosis of mixed connections within the drainage unit.

[0016] 2. In this invention, protein fluorescence data are obtained by detecting rainwater samples in the first fluorescence characteristic parameter during peak water usage periods under sunny conditions. Fluorescence data of humic substances By comparing with preset thresholds, the type of mixed connection of rainwater pipe network within the target drainage unit can be preliminarily determined, providing targeted support for subsequent mixed connection renovation of drainage units within the community. Simultaneously, during peak water usage periods in rainy weather, protein fluorescence data from the second fluorescence characteristic parameter can be utilized. Protein fluorescence data obtained from the detection of wastewater samples from Heqing The relative rate of change is calculated to determine whether there is a misconnection inside the drainage unit. This can further verify the preliminary judgment results under sunny conditions, improve the accuracy of the mixed connection type judgment, and accurately determine whether there is a misconnection inside the drainage unit so that targeted modification measures can be taken in a timely manner.

[0017] 3. In this invention, water samples are collected from the sewage main outlet inspection well and the rainwater main outlet inspection well. The collection coverage area is wide and can be used to diagnose mixed connections within a large area of ​​drainage units. At the same time, the method is simple to operate, without complicated equipment and cumbersome procedures. It can obtain accurate judgments on whether there are mixed connections within the drainage unit in a short time and has good results. Attached Figure Description

[0018] Figure 1 This is a schematic diagram of the method flow structure of the present invention; Figure 2 This is a schematic diagram illustrating the determination of the hybrid connection type in this invention. Detailed Implementation

[0019] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0020] Example: Please see Figure 1 In this embodiment of the invention, a method for troubleshooting misconnections within a drainage unit based on fluorescence detection includes: S1: Obtain the first and second outlet water samples of the target drainage unit under preset meteorological conditions; S2: After pretreatment of the first outlet water sample, fluorescence spectroscopy is performed based on the fluorescence detection device to obtain the first fluorescence characteristic parameter. After pretreatment of the second outlet water sample, fluorescence spectroscopy is performed based on the fluorescence detection device to obtain the second fluorescence characteristic parameter. S3: Compare the first fluorescence characteristic parameter with a preset threshold to determine the mixing type inside the drainage unit; S4: Calculate the relative change rate of the first fluorescence characteristic parameter and the second fluorescence characteristic parameter, compare the relative change rate with the preset change rate, and determine whether there is a misconnection inside the drainage unit.

[0021] Specifically, during peak water usage periods under preset weather conditions (sunny and rainy days), water samples from the first and second outlets of the target drainage unit are obtained. Fluorescence spectroscopy is performed on the first and second outlet samples to obtain corresponding first and second fluorescence characteristic parameters. Protein fluorescence data and humic fluorescence data are obtained from the first and second fluorescence characteristic parameters. Based on the protein fluorescence data and humic fluorescence data corresponding to the sunny and rainy days, the protein fluorescence data and humic fluorescence data are compared with preset thresholds and the relative change rate is calculated to obtain the mixed connection type and whether there is a misconnection within the drainage unit, thereby quickly diagnosing the mixed connection situation within the drainage unit. Furthermore, during peak water usage periods in sunny weather conditions, protein fluorescence data were obtained from rainwater samples detected using the first fluorescence characteristic parameter. Fluorescence data of humic substances By comparing with preset thresholds, the type of mixed connection of rainwater pipe network within the target drainage unit can be preliminarily determined, providing targeted support for subsequent mixed connection renovation of drainage units within the community. Simultaneously, during peak water usage periods in rainy weather, protein fluorescence data from the second fluorescence characteristic parameter can be utilized. Protein fluorescence data obtained from the detection of wastewater samples from Heqing The relative rate of change is calculated to determine whether there is a misconnection inside the drainage unit. This can further verify the preliminary judgment results under sunny conditions, improve the accuracy of the mixed connection type judgment, and accurately determine whether there is a misconnection inside the drainage unit so that targeted modification measures can be taken in a timely manner. By collecting water samples from both the sewage main outlet manhole and the rainwater main outlet manhole, the sampling coverage is wide and applicable to diagnosing mixed connections within large-scale drainage units. At the same time, the method is simple to operate, requiring no complex equipment or cumbersome procedures, and can obtain accurate results in a short time to determine whether there are mixed connections within the drainage unit, resulting in good performance.

[0022] Preferably, obtaining water samples from the first and second outlets of the target drainage unit under preset weather conditions includes: The preset weather conditions include sunny and rainy conditions. The sunny condition is used for diagnosing mixed connections within the drainage unit, and the rainy condition is used for diagnosing incorrect connections within the drainage unit. During peak water usage periods on sunny days, visually observe the water flow conditions at the sewage main outlet manhole and the rainwater main outlet manhole of the drainage unit. If there is water flow, a water sample is collected from the main sewage outlet manhole to obtain a clear water sample, and a water sample is collected from the main rainwater outlet manhole to obtain a clear rainwater sample. The clear water sample and the clear rainwater sample together form the first outlet water sample. Water samples were collected from the sewage outlet inspection well during the peak water usage period in rainy weather to obtain the second outlet water sample.

[0023] Specifically, under sunny conditions, the water flow at the main sewage outlet manhole and the main rainwater outlet manhole of the drainage unit is visually observed during peak water usage periods. If the conditions for water sampling cannot be met, water samples are collected when the conditions are met later. When the conditions for water sampling can be met, both sunny and rainwater samples are collected. The sunny and rainwater samples together form the first outlet water sample. During peak water usage periods under rainy conditions, water samples are collected from the main sewage outlet manhole to obtain the second outlet water sample.

[0024] Preferably, water samples are collected from the sewage main outlet manhole and water samples are collected from the rainwater main outlet manhole, including: Collect the overlying water inside the sewage main outlet manhole and the rainwater main outlet manhole, wherein the overlying water inside the manhole includes water samples within a preset water depth range below the liquid surface; Within the water cover area inside the main sewage outlet inspection well and the main rainwater outlet inspection well, several water samples of a preset capacity are continuously collected within a preset time. After mixing the water samples of the preset capacity in equal volumes, the first outlet water sample and the second outlet water sample are obtained respectively.

[0025] Specifically, when collecting the overlying water in the manhole of the main sewage outlet, first determine the preset water depth range below the liquid surface, and use professional sampling equipment to collect water samples within this range to ensure that the collected water samples are representative and do not disturb the sediment at the bottom of the manhole during collection to avoid affecting subsequent fluorescence monitoring. To avoid fluctuations in water quality, sampling should be carried out during peak water usage periods, including collecting three batches of water samples from the same manhole within 10 minutes, with each batch being 10-50 mL, and then mixing the water samples in equal volumes. During peak water usage periods under sunny conditions, when the manholes at the main sewage outlets are visually inspected and can meet the above-mentioned water sampling conditions, water samples are collected from several manholes at the main sewage outlets. Water is then placed over the manholes at the same main sewage outlets. Within 10 minutes, three batches of water samples are collected from the same manhole, each batch consisting of 10mL-50mL. The water samples are then mixed in equal volumes to obtain a sunny sewage sample. During peak water usage periods in sunny weather, when the stormwater main outlet inspection wells are visually inspected and can meet the above-mentioned water sampling conditions, collect water samples from several stormwater main outlet inspection wells. Cover the well with water and collect 3 batches of water samples from the same inspection well within 10 minutes, with each batch being 10mL-50mL. Then mix the water samples in equal volumes to obtain the sunny and rainy water samples. During the peak water usage period in rainy weather, water samples were collected from several sewage discharge outlet manholes. Water was then placed over the manholes of the same sewage discharge outlet. Within 10 minutes, three batches of water samples were collected from the same manhole, each batch consisting of 10 mL to 50 mL. The water samples were then mixed in equal volumes to obtain the second outlet water sample. Within ten minutes, multiple batches of overlying water were continuously collected from the well and mixed in equal volumes. This effectively obtained representative water samples, providing an accurate data basis for subsequent investigation of misconnections within the drainage unit based on fluorescence detection. Through multiple collections and mixing, errors caused by water quality fluctuations were reduced, improving the reliability and stability of the detection results.

[0026] Preferably, after pretreatment of the first outlet water sample, fluorescence spectroscopy is performed using a fluorescence detection device to obtain a first fluorescence characteristic parameter; after pretreatment of the second outlet water sample, fluorescence spectroscopy is performed using the same device to obtain a second fluorescence characteristic parameter, including: The clear-water sample and the rainwater sample from the first outlet were pretreated separately. The pretreated clear-water sample was then subjected to fluorescence spectroscopy using a fluorescence detection device to obtain protein fluorescence data, which were then labeled as follows: After pretreatment, the rainwater samples were subjected to fluorescence spectroscopy using a fluorescence detection device to obtain protein fluorescence data and humic fluorescence data, which were then labeled as follows: ; , The first fluorescence characteristic parameter is formed; The second outlet water sample was pretreated, and protein fluorescence data were obtained by fluorescence spectroscopy detection using a fluorescence detection device and labeled as follows. , Formation of a second fluorescence characteristic parameter; The pretreatment includes: filtering the dry wastewater sample and the rainwater sample from the first outlet water sample through a filter membrane to filter out solid impurities in the dry wastewater sample and the rainwater sample; and filtering the second outlet water sample through a filter membrane to filter out solid impurities in the second outlet water sample.

[0027] Specifically, the sunny and rainy water samples in the first outlet are pretreated by membrane filtration to remove solid impurities and ensure the accuracy of subsequent fluorescence detection. The sunny and rainy water samples are also pretreated by membrane filtration to remove solid impurities. The pretreatment process for the second outlet water sample is similar to that for the sunny and rainy water samples in the first outlet, used to filter out solid impurities in the second outlet water sample. The filter membranes include various specifications such as 0.45μm and 0.22μm membranes. The membrane material is selected from hydrophilic and low-adsorption polyethersulfone (PES) or nylon membranes to avoid loss of fluorescent substances. The appropriate filter membrane is selected for filtration according to different water sample conditions. The 0.45μm filter membrane can effectively intercept most of the larger solid impurities, ensuring that the water sample reaches a certain purity requirement after preliminary filtration. The 0.22μm filter membrane can further filter finer particles, making the water sample purer and providing a reliable guarantee for subsequent accurate fluorescence detection. After obtaining the sunny and rainy water sample, the sunny and rainy water sample, and the second outlet water sample from the first outlet water sample, the above water samples are filtered and mixed using a syringe and needle filter.

[0028] Preferred, such as Figure 2 As shown, the first fluorescence characteristic parameter is compared with a preset threshold to determine the mixing type within the drainage unit, including: Protein fluorescence data from the first fluorescence characteristic parameters Fluorescence data of humic substances The type of cross-connection within the drainage unit is determined by comparing it with a preset threshold. The determination of mixed connection type includes: The preset thresholds include a first preset threshold, a second minimum preset value, and a second maximum preset value. The first preset threshold is... ,in, for The relative intensity of the excitation light is defined by the second minimum preset value and the second maximum preset value. The preset values ​​for the ratio are 0.2, 1.4, and 1.4, respectively. when and All do not exceed the first preset threshold, i.e. and If it is determined that there is no cross-connection or low-pollution water cross-connection, then there is no cross-connection within the community, or there is low-pollution water such as swimming pool water or tap water flowing into the rainwater pipes. when Greater than the first preset threshold, and When it does not exceed the second minimum preset value, that is ,and If it is determined to be a case of grey water mixing, then there is grey water such as washing water from balconies being mixed and flowing into the community. when Greater than the first preset threshold, and When it is greater than the second maximum preset value, that is ,and If it is determined to be a case of black water mixing, then there is black water such as septic tank effluent being mixed with and flowing into the community. when Greater than the first preset threshold, and It is greater than the second minimum preset value but does not exceed the second maximum preset value, that is... and The connection is classified as a mixed connection, meaning that both black water and grey water are being connected simultaneously within the community.

[0029] Specifically, During the judgment process, the water samples collected from the drainage unit were first subjected to fluorescence detection to obtain protein fluorescence data from the first fluorescence characteristic parameter. Fluorescence data of humic substances Subsequently, the protein fluorescence data Fluorescence data of humic substances By comparing the data with preset thresholds and determining the type of mixed connections within the drainage unit based on different numerical ranges and proportions, a clear and definite basis can be provided for subsequent investigation and rectification work.

[0030] Preferably, the relative change rate of the first fluorescence characteristic parameter and the second fluorescence characteristic parameter is calculated, and the relative change rate is compared with a preset change rate to determine whether there is a misconnection inside the drainage unit, including: Protein fluorescence data from the first fluorescence characteristic parameters Compared with protein fluorescence data in the second fluorescence characteristic parameter The relative rate of change δ was calculated. δ= ×100%; like If the rate of change does not exceed the preset rate, there will be no misconnection inside the target drainage unit; like If the rate of change is greater than the preset rate of change, then the target drainage unit has rainwater misconnection into the flow. Furthermore, the preset change rate ranges from 3% to 10%, where the preset change rate is determined based on the detection stability of the fluorescence detection device; Right now If so, then there is no misconnection inside the target drainage unit; Right now If this occurs, then the target drainage unit may experience rainwater misconnection to the flow.

[0031] Specifically, the preset change rate is set based on the detection stability of the portable fluorescence detection device. In practical applications, the detection stability of portable fluorescence detection devices is affected by various factors, such as the accuracy of the device itself, the operating environment, and operating procedures. Therefore, when setting the preset change rate, these factors need to be considered comprehensively to ensure that the preset change rate can accurately reflect whether there is any misconnection within the drainage unit. The preset change rate ranges from 3% to 10%, preferably 5%. By setting the preset change rate to 5%, both detection accuracy and ease of operation and practicality can be ensured. Specifically, in the actual operation, the protein fluorescence data in the first fluorescence characteristic parameters are first obtained separately. Compared with protein fluorescence data in the second fluorescence characteristic parameter Then, the relative change rate δ is accurately calculated. The calculated δ is compared with the preset change rate. When the δ value is within the range of the preset change rate, it can be clearly determined that there is no misconnection inside the target drainage unit. When the δ value is greater than the preset change rate, it can be determined that there is a problem of rainwater misconnection in the target drainage unit, thus providing a reliable basis for taking targeted treatment measures.

[0032] Preferably, the fluorescence detection device is a portable fluorescence detection device, which is used to excite and receive excitation light in the range of 275nm to 340nm and 275nm to 450nm.

[0033] Specifically, the probe of the portable fluorescence detection device is inserted into the water sample to be tested. After the device is turned on, it emits and receives excitation light of specific wavelengths. For detecting protein fluorescence, excitation light in the range of 275nm to 340nm is emitted; for detecting humic fluorescence, excitation light in the range of 275nm to 450nm is emitted. This excitation light is converted into corresponding electrical signals and transmitted to the data processing module. The data processing module analyzes and processes the received electrical signals to obtain first and second fluorescence characteristic parameters. Based on these parameters, it accurately determines whether there is any misconnection within the drainage unit.

[0034] Preferred options also include: The mixed connection types and whether there are misconnections within the drainage unit are summarized into diagnostic information, which is then uploaded to a mobile terminal or cloud platform via wireless transmission.

[0035] Specifically, the wireless transmission method is based on the wireless communication module inside the portable testing device. The wireless communication module is wirelessly connected to the mobile terminal or cloud platform. The wireless communication module includes a Bluetooth transmission module or a Wi-Fi transmission module. The mobile terminal or cloud platform is equipped with a corresponding data analysis and display interface. This interface can present diagnostic information in the form of intuitive charts, reports, etc. Users can view the diagnostic information of the drainage unit anytime and anywhere by logging into the mobile terminal application or accessing the web page of the cloud platform. This includes detailed information such as the specific classification of mixed connection types, the specific location and severity of misconnection. At the same time, the mobile terminal or cloud platform also has data storage function, which can save historical diagnostic information for a long time, making it convenient for users to trace and compare data, reducing the recording burden on the field and realizing real-time recording on the cloud platform. Mobile terminals include portable devices such as smartphones or tablets. These devices have powerful data processing capabilities and convenient wireless communication functions. Users can easily receive diagnostic information uploaded from the drainage unit troubleshooting system using these mobile terminals. On the application interface of the mobile terminal, users can not only view the mixed connection type and misconnection status of the current drainage unit in real time, but also query, filter and analyze historical data.

[0036] Example 1:

[0037] Taking a certain residential community as an example, the steps include the following: During peak water usage periods on sunny days, visually observe the water flow in the main sewage outlet manhole and the main rainwater outlet manhole of the drainage unit. If water flow is observed, collect water samples from these manholes. After pretreatment, use a portable fluorescence detection device to perform detection and obtain the values ​​of protein fluorescence (excitation and reception from 275nm to 340nm) and humic fluorescence (excitation and reception from 275nm to 450nm). The protein fluorescence data from the main sewage outlet manhole is recorded as follows: The protein fluorescence data and humic fluorescence data of the stormwater main outfall inspection well are respectively denoted as and .

[0038] The specific steps for sample collection and preprocessing are as follows: (1) The investigation should be carried out on a sunny day, with no rainfall in the previous week, and the investigation time should be from 7:00 to 9:00 in the morning to ensure that there is sewage discharged into the pipeline; (2) Use a stainless steel water sampler to collect water samples 5 cm below the liquid surface in the inspection well, without disturbing the bottom sediment during collection; (3) When sampling a single inspection well, repeat the sampling 3 times within 10 minutes, with each sample being 30 mL. Then, mix the 3 samples with equal volumes. (4) The mixed water sample was filtered on-site using a syringe and a needle filter; (5) Immediately after filtration, test the water sample using a portable device and record the results. , and ; Based on protein fluorescence data Fluorescence data of humic substances Diagnose the internal cross-connection situation of the drainage unit: The fluorescence values ​​of the sewage main discharge outlet manholes and rainwater main discharge outlet manholes inspected on sunny days are shown in Table 1: Table 1

[0039] Based on the test values, it can be determined that there is black water mixing in the drainage unit area corresponding to rainwater main outlet 1, and gray water mixing in the drainage unit area corresponding to rainwater main outlet 2.

[0040] Water samples were collected from the inspection well at the main sewage outlet during peak water usage periods (rainy days). After pretreatment, samples were analyzed using a portable fluorescence detection device to obtain protein fluorescence data, which were denoted as follows: ; The specific steps for sample collection and preprocessing are as follows: (1) The investigation was carried out on a rainy day, and obvious surface runoff was formed during sampling. The investigation time was from 7:00 pm to 9:00 pm to ensure that sewage was discharged into the pipeline; (2) Use a stainless steel water sampler to collect water samples 5 cm below the liquid surface in the inspection well, without disturbing the bottom sediment during collection; (3) When sampling a single inspection well, repeat the sampling 3 times within 10 minutes, with each sample being 30 mL. Then, mix the 3 samples with equal volumes. (4) The mixed water sample was filtered on-site using a syringe and a needle filter; (5) Immediately after filtration, test the water sample using a portable device and record the results. ; Based on the main sewage discharge outlet of the drainage unit and Numerical fluctuations are used to diagnose misconnections within the drainage unit: The drainage unit , δ= ×100%= ×100%=55.58%, the fluctuation of protein fluorescence value at the sewage discharge outlet is more than 5% on both sunny and rainy days, indicating that there is a misconnection within the community.

[0041] The above description is only a preferred embodiment of the present invention, but the scope of protection of the present invention is not limited thereto. Any equivalent substitutions or modifications made by those skilled in the art within the scope of the technology disclosed in the present invention, based on the technical solution and inventive concept of the present invention, should be covered within the scope of protection of the present invention.

Claims

1. A method for checking mixed connection and layout of a drainage unit based on fluorescence detection, characterized in that, include: Obtaining first and second outlet water samples from the target drainage unit under preset meteorological conditions: Specifically, the preset meteorological conditions include sunny and rainy weather conditions. The sunny weather conditions are used for internal connection diagnosis of the drainage unit, and the rainy weather conditions are used for internal connection misdiagnosis of the drainage unit. During peak water usage periods in sunny weather conditions, visually observe the water flow in the sewage main outlet manhole and the rainwater main outlet manhole of the drainage unit. If there is water flow, collect a water sample from the sewage main outlet manhole to obtain a sunny-sewage sample, and collect a water sample from the rainwater main outlet manhole to obtain a sunny-rainy water sample. The sunny-sewage sample and the sunny-rainy water sample together constitute the first outlet water sample. Water samples were collected from the inspection well at the main sewage outlet during peak water usage periods in rainy weather to obtain the second outlet water sample. After pretreatment, the first outlet water sample was subjected to fluorescence spectroscopy using a fluorescence detection device to obtain the first fluorescence characteristic parameter. Similarly, after pretreatment, the second outlet water sample was subjected to fluorescence spectroscopy using the same device to obtain the second fluorescence characteristic parameter. Specifically, the clear-water sample and the rainwater sample from the first outlet were pretreated separately. The pretreated clear-water sample was then subjected to fluorescence spectroscopy using a fluorescence detection device to obtain protein fluorescence data, which were then labeled as follows: After pretreatment, the rainwater samples were subjected to fluorescence spectroscopy using a fluorescence detection device to obtain protein fluorescence data and humic fluorescence data, which were then labeled as follows: The , The first fluorescence characteristic parameter is formed; The second outlet water sample is pretreated, and protein fluorescence data are obtained through fluorescence spectrum detection based on a fluorescence detection device, and are marked as , the second fluorescence characteristic parameter is formed; The first fluorescence characteristic parameter is compared with a preset threshold to determine the mixing type within the drainage unit. Specifically, this involves comparing the protein fluorescence data in the first fluorescence characteristic parameter... Fluorescence data of humic substances The type of mixed connection within the drainage unit is determined by comparing it with a preset threshold; the determination of the mixed connection type includes: the preset threshold includes a first preset threshold, a second minimum preset value, and a second maximum preset value; when and All values ​​do not exceed the first preset threshold, and are therefore determined to be either no cross-contamination or low-pollution water cross-contamination; when Greater than the first preset threshold, and If the value does not exceed the second minimum preset value, it is judged as a greywater mixing; when Greater than the first preset threshold, and When the value exceeds the second maximum preset value, it is determined to be a black water mixing; when Greater than the first preset threshold, and If the value is greater than the second minimum preset value but not greater than the second maximum preset value, it is determined to be a mixed connection. The relative change rate of the first fluorescence characteristic parameter and the second fluorescence characteristic parameter is calculated. This relative change rate is then compared with a preset change rate to determine if there is any misconnection within the drainage unit. Specifically, this involves: analyzing the protein fluorescence data from the first fluorescence characteristic parameter... Compared with protein fluorescence data in the second fluorescence characteristic parameter The relative rate of change δ was calculated. δ= ×100%; if If the change rate does not exceed the preset rate, there are no misconnections inside the target drainage unit; if If the rate of change is greater than the preset rate of change, then the target drainage unit has rainwater misconnection into the flow.

2. The method according to claim 1, wherein The water samples collected from the sewage main outlet inspection well and the water samples collected from the rainwater main outlet inspection well include: Collect the overlying water inside the sewage main outlet manhole and the rainwater main outlet manhole, wherein the overlying water inside the manhole includes water samples within a preset water depth range below the liquid surface; Within the water cover area inside the main sewage outlet inspection well and the main rainwater outlet inspection well, several water samples of a preset capacity are continuously collected within a preset time. After mixing the water samples of the preset capacity in equal volumes, the first outlet water sample and the second outlet water sample are obtained respectively.

3. The method according to claim 2, wherein the method is characterized by, The preprocessing includes: The dry wastewater sample and the rainwater sample from the first outlet water sample are filtered through filter membranes to remove solid impurities from the dry wastewater sample and the rainwater sample, respectively. The second outlet water sample is filtered through a filter membrane to remove solid impurities from the second outlet water sample.

4. The method according to claim 3, wherein the method is characterized by: The preset change rate ranges from 3% to 10%, and the preset change rate is determined based on the detection stability of the fluorescence detection device.

5. The method according to claim 4, wherein the method is characterized by: The fluorescence detection device is a portable fluorescence detection device, which is used to excite and receive excitation light in the range of 275nm to 340nm and 275nm to 450nm.

6. The method according to claim 5, wherein Also includes: The mixed connection types and whether there are misconnections within the drainage unit are summarized into diagnostic information, which is then uploaded to a mobile terminal or cloud platform via wireless transmission.

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