Method, system and equipment for monitoring water quality collected by park sewage gathering pipe

Abstract

The invention discloses a method, a system and equipment for monitoring water quality collected by a park sewage gathering pipe, and relates to the technical field of sewage treatment, the method comprises the following steps: dividing a park sewage pipe network into a plurality of independent monitoring units, each monitoring unit comprises branch pipes of a plurality of sewage discharge enterprises, and the branch pipes of the enterprises are respectively converged into main pipes of corresponding wastewater types; the main pipe of each monitoring unit is provided with an online water quality detection module, and each branch pipe is provided with an independent automatic sampling module; when any monitoring unit detects that the water quality index is abnormal, all branch pipes in the monitoring unit corresponding to the control system collect instantaneous water samples, and the water quality of each instantaneous water sample is analyzed; according to a water quality analysis result, switching a sewage flow path with abnormal water quality to an emergency treatment channel, and keeping sewage of a normal branch pipe continuously flowing into a conventional treatment path; and when the abnormal state of the branch pipe is relieved and the water quality index returns to normal, switching back to the conventional treatment path. The invention provides a sewage quality monitoring method capable of realizing rapid and accurate abnormal traceability.

Description

TECHNICAL FIELD

[0001] The application relates to the technical field of sewage treatment, in particular to a water quality monitoring method and system for collecting sewage in a park and equipment thereof. BACKGROUND

[0002] In industrial parks such as electroplating and surface treatment, industrial wastewater generated in the production process of enterprises is usually collected through an underground comprehensive pipe gallery and transported to a park sewage treatment plant through a classified main pipe for unified treatment. Since the number of enterprises connected to the wastewater in the park is large (up to dozens or even hundreds), and each enterprise may discharge multiple types of wastewater (such as nickel-containing, cyanide-containing, and comprehensive wastewater), the pipe system structure in the pipe gallery is complex, and the number of branch pipes is large.

[0003] In the prior art, online water quality monitoring equipment is usually arranged at the end of the sewage collection main pipe or the entrance of the sewage treatment plant to determine whether the overall incoming water meets the standards. However, this "end monitoring" mode has significant defects: once the water quality is detected to be abnormal (such as excessive heavy metal concentration, abnormal pH, etc.), it is difficult to trace back to the specific polluting enterprise quickly and accurately. The reason is that the wastewater from multiple enterprises has been fully mixed in the main pipe, and the original discharge characteristics are diluted or concealed, making it difficult to lock the responsibility subject.

[0004] In addition, some enterprises may engage in intermittent and concealed discharge of high-concentration wastewater to reduce treatment costs. Such illegal discharge is often characterized by strong instantaneousness, small discharge amount, but high concentration, and is easily missed by conventional periodic manual sampling or end monitoring.

[0005] Therefore, there is an urgent need for a park sewage water quality monitoring method that can quickly and accurately trace the source of the abnormality to solve the technical problems of "large monitoring blind area and low tracing efficiency" in the prior art. SUMMARY

[0006] In order to solve the problems in the prior art, the application provides a park sewage water quality monitoring method that can quickly and accurately trace the source of the abnormality, a park sewage water quality monitoring method, system and equipment.

[0007] In the first aspect, the application achieves the purpose by adopting the following technical solutions: A park sewage water quality monitoring method, comprising: The park sewage pipe network is divided into several independent monitoring units according to the connection of enterprises, each monitoring unit contains branch pipes of multiple polluting enterprises, and each enterprise branch pipe flows into a main pipe of a corresponding wastewater type; An online water quality detection module is set up on the main pipe of each monitoring unit, and an independent automatic sampling module is configured on each branch pipe. When the online water quality detection module of any monitoring unit detects an abnormal water quality index, the control system triggers the automatic sampling devices of all branch pipes in the corresponding monitoring unit to synchronously collect instantaneous water samples and perform water quality analysis on each instant. Based on the water quality analysis results, the sewage flow path of the branch pipe or the entire monitoring unit with abnormal water quality will be switched to the emergency treatment channel, while the sewage in the normal branch pipe will continue to flow into the regular treatment path. After the abnormal condition of the branch pipe is resolved and the water quality indicators return to normal, the sewage flow path will be switched back to the conventional treatment path.

[0008] By adopting the above technical solution, this invention divides the park's sewage pipe network into several independent monitoring units according to the enterprise's connection status. Online water quality monitoring modules and independent automatic sampling modules are deployed on the main pipe and branch pipes of each unit, achieving refined and dynamic monitoring of the park's sewage discharge behavior. Specifically, when a monitoring unit detects an abnormal water quality, the system can immediately and synchronously collect instantaneous water samples from all branch pipes within that monitoring unit and perform parallel analysis. This allows for accurate identification of the specific abnormal branch pipe within minutes to hours, effectively solving the technical bottleneck of traditional end-point monitoring's inability to trace the source and quickly pinpointing the enterprise engaging in illegal discharge. By automatically switching the sewage from the abnormal branch pipe or the entire monitoring unit to an emergency treatment channel (such as an accident pool or equalization pool), the impact load of high-concentration wastewater exceeding standards on downstream sewage treatment plants is avoided, ensuring the safe operation of the sewage treatment system. Furthermore, the abnormal branch pipe can only be reconnected to the main pipe after rectification and continuous monitoring confirms that the water quality meets standards, significantly enhancing the deterrent effect on illegal discharge and the operability of law enforcement. The automated sampling, analysis, and valve control of this application reduce the reliance on manual inspections and frequent sampling, significantly improve monitoring efficiency, effectively overcome the technical problems of existing park wastewater monitoring systems being "difficult to detect, difficult to locate, and difficult to trace responsibility," and provide a method for monitoring park wastewater quality that can achieve rapid and accurate anomaly tracing.

[0009] In a preferred embodiment, this application also includes: For branch pipes where instantaneous water sample testing exceeds the standard, periodic mixed average water sample collection is initiated, and the average water sample is subjected to secondary water quality analysis screening; if the secondary screening is qualified, the sampling device is emptied and reset; otherwise, the average water sample is retained. If the same branch pipe is confirmed to have abnormal water quality N times in a preset period, the connection between the branch pipe and the main pipe will be automatically cut off, and the sewage will be diverted to a secondary backup pipe for independent monitoring, entering a locked monitoring state.

[0010] By adopting the above technical solutions and using a mixed average water sample secondary verification method, occasional fluctuations and continuous exceedances can be distinguished, reducing the false alarm rate. If the secondary screening still fails, the sample is retained as evidence for law enforcement. In the case of the same branch pipe being abnormal N times in a preset period, its connection with the main pipe is automatically cut off and a secondary backup pipe is introduced, so as to achieve mandatory isolation and key supervision of enterprises that maliciously or repeatedly discharge illegally.

[0011] In a preferred embodiment, this application also includes: Obtain real-time water quality data from all monitoring units and enterprise discharge profile information for each discharging enterprise; based on the enterprise discharge profile information and the real-time water quality data, obtain overall water quality monitoring numerical information; Obtain hydraulic parameter information of the sewage collection pipe, and obtain zonal monitoring parameters based on the hydraulic parameter information, the spatial topology of the monitoring unit, and the overall water quality monitoring data. Based on the zonal monitoring parameters and the overall water quality monitoring data, a water quality data acquisition command is triggered. Obtain zone water quality testing information, compare the zone water quality testing information with the corresponding preset threshold range in the overall water quality monitoring numerical information to obtain the zone deviation value, compare the zone deviation value with the preset fluctuation threshold range, and if the zone deviation value exceeds the preset fluctuation threshold range, trigger the zone water quality abnormality information collection command. Based on the instructions for collecting abnormal water quality information in the designated area and the enterprise's wastewater discharge profile information, water quality control parameter information is obtained. Based on the water quality control parameter information, control instructions or alarm instructions are triggered.

[0012] By adopting the above technical solutions, based on enterprise sewage discharge profile information and hydraulic parameters, and combined with spatial topology to construct a dynamic monitoring model, water quality monitoring is upgraded from static threshold comparison to scene-adaptive perception. Based on the comparison of partition deviation values ​​and fluctuation thresholds, potential abnormal trends can be identified in advance, which is conducive to improving the intelligence level and anomaly prediction capability of the water quality monitoring system.

[0013] In a preferred embodiment of this application: the overall water quality monitoring numerical information includes a preset threshold range, sampling frequency, early warning threshold, and data upload cycle; based on the enterprise pollution discharge profile information and the real-time water quality data, the overall water quality monitoring numerical information is obtained, including: Typical pollutant types are extracted from the enterprise's pollution discharge profile information, and the standard limits corresponding to the typical pollutant types are used as the benchmark values ​​for the preset threshold range. Based on the emission fluctuation cycle and historical frequency of exceeding standards of the polluting enterprises, the sampling frequency and the early warning threshold are dynamically adjusted; if the production process status of the polluting enterprise is maintenance, trial production or raw material change, the data upload frequency of the monitoring module of the corresponding polluting enterprise is increased. By associating the preset threshold range, sampling frequency, early warning threshold, and data upload cycle, the overall water quality monitoring numerical information is obtained.

[0014] By adopting the above technical solution, it is found that using a uniform sampling frequency and early warning threshold cannot meet the needs of high-risk enterprises, while low-risk enterprises suffer from resource waste. This application uses typical pollutant standard limits as a benchmark, and dynamically adjusts the sampling frequency, early warning threshold, and data upload cycle based on emission fluctuation cycles and historical exceedances. To optimize system resource allocation, when enterprises are under special operating conditions such as maintenance or trial production, the data upload frequency is proactively increased to capture potential risks arising from process changes.

[0015] In a preferred embodiment of this application, the step of obtaining zonal monitoring parameters based on the hydraulic parameter information, the spatial topology of the monitoring unit, and the overall water quality monitoring numerical information includes: The hydraulic parameters include the flow rate, liquid level, and flow direction of each branch pipe, main pipe, and regulating tank; the zone monitoring parameters include the location of each sampling point in each monitoring module, the sensor type, and the real-time threshold of the corresponding monitoring index. Based on the flow rate and liquid level, calculate the hydraulic retention time from each branch pipe to the main pipe and from the main pipe to the equalization tank; If the hydraulic residence time of a certain path is less than a preset time threshold, a high-frequency instantaneous sampling point is set at the end of the path; If the hydraulic residence time of a certain path is greater than or equal to the preset time threshold, a trend sampling point is set at the inlet of the regulating pool of the path, and the peak capture mode is enabled. Based on the preset threshold range in the overall water quality monitoring data, a corresponding real-time threshold is assigned to each sampling point.

[0016] The above technical solutions, with their fixed sampling point layout, cannot adapt to the differences in pollutant migration characteristics under different hydraulic paths. By setting up high-frequency instantaneous sampling points and multi-parameter sensors at the end of short residence paths where pollutants pass through quickly, sudden high-concentration emissions can be captured. For long residence paths where pollutants are fully mixed, a trend sampling + peak capture mode is adopted at the inlet of the equalization tank to balance stability and extreme value identification. Furthermore, personalized real-time thresholds are assigned to each point based on the thresholds in the overall monitoring data. This significantly improves the representativeness of sampling and the anomaly detection rate, avoiding monitoring blind spots caused by unreasonable point layout.

[0017] In a preferred embodiment of this application: the step of obtaining water quality control parameter information based on the zoned water quality anomaly information collection instruction and the enterprise wastewater discharge profile information includes: According to the instructions for collecting abnormal water quality information in the designated area, the time of occurrence of the abnormality and the type of abnormal indicators are obtained; Based on the hydraulic retention time of each polluting enterprise, the possible emission window of each enterprise's branch pipe before the time of the abnormality is calculated in reverse; combined with the historical frequency of exceeding standards and production process status in the pollutant discharge profile information of the enterprise, the enterprises within the possible emission window are ranked by pollution source confidence. Based on the pollution source confidence ranking results, valve isolation instructions or sample retention trigger instructions are generated for enterprises with high confidence levels, which serve as the water quality control parameter information.

[0018] By adopting the above technical solutions, when multiple enterprises share a common main pipeline, it is difficult to quickly identify the specific polluting enterprise after an anomaly occurs. Based on this actual problem, this application uses hydraulic modeling to reverse-engineer the anomaly detection time back to the possible emission periods of each enterprise, thus narrowing down the scope of suspicion. Then, by combining the enterprise's historical frequency of exceeding standards and current process status, the enterprises within the emission window are quantitatively ranked by confidence level, and valve isolation or sample retention is prioritized for enterprises with high confidence levels. This transforms fuzzy investigation into precise strikes, significantly shortening the source tracing time. In practical applications, it can reduce the source tracing time from hours to minutes.

[0019] In a preferred embodiment of this application: the step of triggering a control command or alarm command based on the water quality control parameter information includes: Based on the water quality control parameter information, zonal control parameter information is obtained, wherein the zonal control parameter information includes valve action commands, sampling point retention trigger signals, and the emergency response level of the corresponding monitoring module; The emergency response level is compared with a preset response level threshold. If the emergency response level is lower than or equal to the preset response level threshold, a control command is triggered based on the zoning control parameter information. If the emergency response level is higher than the preset response level threshold, a secondary verification instruction for control information is triggered, and secondary control parameter information is obtained according to the secondary verification instruction for control information. Based on the secondary control parameter information, a control command is triggered.

[0020] By adopting the above technical solutions, for low-risk anomalies such as minor exceedances or single occurrences, preset control instructions can be directly executed for rapid handling and to avoid delays. For high-risk anomalies such as severe exceedances or multiple abnormal indicators, high-cost operations (such as full unit shutdown) are not immediately executed. Instead, secondary verification such as retesting and manual confirmation is triggered first to prevent production interruptions caused by misoperation. This ensures timely response while taking into account both operational safety and economy.

[0021] Secondly, the objective of this invention is achieved through the following technical solution: A water quality monitoring system for wastewater collection pipes in a park, used to execute a water quality monitoring method for wastewater collection pipes in a park as described above, the system comprising: The monitoring unit division module is used to divide the park's sewage pipe network into several independent monitoring units according to the enterprise's access situation. Each monitoring unit contains branch pipes of multiple sewage discharge enterprises, and each enterprise's branch pipe is connected to the main pipe corresponding to the wastewater type. The monitoring and sampling module includes an online water quality testing module deployed on the main pipe of each monitoring unit, and an independent automatic sampling module configured on each branch pipe; The abnormal response control module is used to trigger the automatic sampling devices of all branches in the monitoring unit to synchronously collect instantaneous water samples when the online water quality detection module of any monitoring unit detects an abnormal water quality index, and to receive the water quality analysis results of each instantaneous water sample. The flow path switching execution module is connected to the flow path control valve in the park's sewage pipe network. It is used to switch the sewage flow path of the branch pipe with abnormal water quality or the entire monitoring unit to the emergency treatment channel according to the water quality analysis results, while allowing the sewage in the normal branch pipe to continue to flow into the regular treatment path. The flow path switching execution module is also used to control the flow path control valve to switch the sewage flow path back to the normal treatment path after the abnormal state of the branch pipe is resolved and the water quality indicators return to normal.

[0022] Thirdly, the objective of this invention is achieved through the following technical solution: A computer device includes a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor executes the computer program to implement the steps of the above-described method for monitoring water quality through a wastewater collection pipe in a park.

[0023] Fourthly, the objective of this invention is achieved through the following technical solution: A computer-readable storage medium storing a computer program that, when executed by a processor, implements the steps of the above-described method for monitoring water quality collected by a wastewater collection pipe in a park.

[0024] In summary, this application includes the following beneficial technical effects: This application divides the pipeline network into independent monitoring units based on enterprise access, sets up water quality anomaly trigger points on the main pipes and configures synchronous sampling devices on the branch pipes, achieving rapid response and accurate source tracing when anomalies occur; furthermore, by switching the sewage from the abnormal branch pipes or units to the emergency channel, the pollution source is effectively isolated, avoiding impact on the conventional treatment system; at the same time, the normal branch pipe access is maintained to ensure that the normal sewage discharge of compliant enterprises is not disturbed; after the anomaly is resolved, the flow path is automatically restored, realizing closed-loop management and system self-healing, significantly improving the real-time and accuracy of sewage monitoring in the park. Attached Figure Description

[0025] Figure 1 This is a flowchart of a water quality monitoring method for wastewater collection pipes in a park, according to one embodiment of this application. Figure 2 This is another flowchart of a water quality monitoring method for wastewater collection pipes in a park, as described in one embodiment of this application; Figure 3 This is a schematic diagram of a device according to one embodiment of this application. Detailed Implementation

[0026] The present application will be further described in detail below with reference to the accompanying drawings.

[0027] In one embodiment, such as Figure 1 As shown, this application discloses a water quality monitoring method for wastewater collected by a sewage collection pipe in a park, which specifically includes the following steps: S1: The park's sewage pipe network is divided into several independent monitoring units according to the enterprise's access situation. Each monitoring unit contains branch pipes of multiple sewage-discharging enterprises, and each enterprise's branch pipe is connected to the main pipe corresponding to the wastewater type.

[0028] In this embodiment, "enterprise access status" refers to information such as the connection location of the enterprise's branch pipe on the main sewage collection pipe, the type of wastewater it belongs to, and its discharge pattern. An independent monitoring unit refers to a group of sewage-discharging enterprises that can be independently monitored and controlled, typically comprising 4–10 enterprises and covering a continuous section of the pipe gallery. Each monitoring unit is associated with a unique unit identifier, which includes information such as the enterprise list, branch pipe number, main pipe section number, and associated regulating tank and emergency tank.

[0029] S2: Set up an online water quality detection module on the main pipe of each monitoring unit, and configure an independent automatic sampling module on each branch pipe.

[0030] In this embodiment, the online water quality monitoring module refers to a real-time water quality sensor system installed on the main pipeline, which can continuously monitor pH, COD, and heavy metal ion concentration (such as Ni). 2+ Cr 6+Key indicators include conductivity, etc. The automatic sampling module refers to an intelligent sampling device installed on each branch pipe of the enterprise, including a sampling pump, sample storage bottle, cleaning unit, and communication interface. It can collect instantaneous water samples or 24-hour mixed samples according to instructions. All sampling modules are in standby mode by default and only start sampling when they receive instructions from the control system.

[0031] S3: When the online water quality detection module of any monitoring unit detects an abnormal water quality index, the control system triggers the automatic sampling device of all branches in the corresponding monitoring unit to synchronously collect instantaneous water samples and perform water quality analysis on each instant.

[0032] In this embodiment, abnormal water quality indicators refer to any monitoring indicator exceeding the corresponding preset threshold, such as COD > 500 mg / L, or Ni 2+ >1.0 mg / L.

[0033] For example, an online water quality monitoring module "Water Quality Detection 01" is installed on the main wastewater pipe of monitoring unit A (near downstream of enterprise 07). Its sampling frequency is 5 minutes per sample, and the data is uploaded to the central control system in real time. On each branch pipe of enterprises 01–07, an automatic sampling module of model WZF-SAM-2025 is installed. Each module is independently numbered (e.g., SAM-01, SAM-02…SAM-07) and communicates with the control system via an RS485 bus.

[0034] At 14:20 one day, water quality monitoring unit 01 detected a sudden increase in COD to 850 mg / L (threshold 500 mg / L) and immediately sent an anomaly alarm to the central control system. The control system identified the signal as originating from monitoring unit A and subsequently sent synchronous sampling commands to SAM-01 through SAM-07. Each sampling module completed instantaneous water sample collection between 14:20:05 and 14:20:15 and automatically transmitted the sample bottles to the park's water quality analysis base station. The automatic analyzers (such as ICP-MS and a rapid COD analyzer) at the water quality analysis base station completed the analysis of Ni, Cr, COD, pH, and other indicators of the seven samples within 30 minutes and transmitted the results back to the control system.

[0035] S4: Based on the water quality analysis results, switch the sewage flow path of the branch pipe or the entire monitoring unit with abnormal water quality to the emergency treatment channel, while allowing the sewage in the normal branch pipe to continue flowing into the regular treatment path.

[0036] In this embodiment, the emergency treatment channel includes a main backup pipe and a secondary backup pipe, which ultimately connect to an emergency pool or a regulating pool for temporary storage or pretreatment of wastewater exceeding standards. Flow path switching is achieved through electric / pneumatic valves or a "robot controlling the valve switching," and the valve status is controlled by a PLC system.

[0037] For example, water quality analysis results showed that only the COD of the branch pipe water sample from enterprise 03 was 920 mg / L, while the COD of the other enterprises was normal. The control switching operation of the control system included: closing the branch pipe to the main wastewater valve ZG03-01; opening the branch pipe to the main / standby pipe valve ZB03-01; the main / standby pipe, through the connecting pipe LT01, diverted the wastewater from enterprise 03 to the emergency pool (valve ZBSG01 was opened). At the same time, the branch pipe valves of enterprises 01, 02, and 04–07 remained in their original state, and the wastewater continued to flow into the regular main pipe and be sent to the wastewater treatment plant. The entire switching process was completed within 1 minute by a pre-programmed "valve control robot", avoiding delays caused by manual operation.

[0038] S5: After the abnormal condition of the branch pipe is resolved and the water quality indicators return to normal, switch the sewage flow path back to the conventional treatment path.

[0039] In this embodiment, after investigation, Enterprise 03 confirmed that the discharge of cleaning wastewater was accidental and resumed normal production at 09:00 the next day. The control system then conducted high-frequency monitoring (sampling every 10 minutes) on the previously abnormal branch pipes for the next 24 hours, confirming that the COD was below 300 mg / L for 12 consecutive times. Different abnormality resolution conditions can be set based on different monitored water quality indicators.

[0040] For example, once the recovery conditions are met, the control system automatically executes: shutting down ZB03-01; opening ZG03-01; and the enterprise's wastewater 03 is re-infused into the main pipe, restoring normal discharge.

[0041] Furthermore, for branch pipes where instantaneous water sample testing exceeds the standard, periodic mixed average water sample collection is initiated, and the average water sample is subjected to secondary water quality analysis screening; if the secondary screening is qualified, the sampling device is emptied and reset; otherwise, the average water sample is retained.

[0042] In this embodiment, the periodically mixed average water sample is in a 24-hour mixing mode, with 10 mL sampled every hour, accumulating to 240 mL to form an average water sample. If the instantaneous sample of enterprise 03 exceeds the standard, the system simultaneously activates the "24-hour mixing mode" of its automatic sampling module, and at 09:00 the next day, the average water sample is sent to the laboratory for retesting using the national standard method.

[0043] If the COD is 280 mg / L (qualified) in the retest, the system will automatically empty the sample bottle and reset the sampling device; if the retest still exceeds the standard (e.g., COD = 600 mg / L), the sample bottle will be locked in the sample compartment and kept as evidence for law enforcement for 30 days.

[0044] If the same branch pipe is confirmed to have abnormal water quality N times in a preset period, the connection between the branch pipe and the main pipe will be automatically cut off, and the sewage will be diverted to a secondary backup pipe for independent monitoring, entering a locked monitoring state.

[0045] In this embodiment, N=3 is set and the preset period is 7 days. If enterprise 03 is confirmed to exceed the standard on the 1st, 3rd and 6th days of the 7-day period, the system will automatically: close ZG03-01 after the abnormality is confirmed on the 6th day; open the secondary backup pipe valve CB03-01; the sewage flows into the independent regulating tank through the secondary backup pipe (valve CT01 is open); the system marks the enterprise as entering "locked supervision status", which can only be lifted after manual review by the park's environmental protection department.

[0046] In one embodiment, such as Figure 2 As shown, in the process of implementing the above-mentioned water quality monitoring method, a water quality monitoring method for wastewater collection pipes in industrial parks also includes: S10: Obtain real-time water quality data from all monitoring units and enterprise discharge profile information for each discharging enterprise; based on the enterprise discharge profile information and real-time water quality data, obtain overall water quality monitoring numerical information.

[0047] In this embodiment, real-time water quality data refers to the main water quality index values ​​of all monitoring units collected at a fixed frequency through an online water quality detection module; enterprise pollution discharge profile information refers to a structured data archive established for each polluting enterprise, including typical pollutant types, historical discharge fluctuation cycles, frequency of exceeding standards, and current production process status. Typical pollutant types include Ni. 2+ Cr 6+ COD, CN-, etc.; the current production process status includes normal production, maintenance, trial production, raw material change, etc., and their duration. The emission fluctuation cycle is obtained through FFT analysis of historical 6 months of data; the time period for the frequency of exceeding standards is such as the number of times exceeding standards in the past 180 days; the overall water quality monitoring numerical information refers to a set of dynamic parameters used to guide the monitoring strategy of the entire system, including preset threshold range, sampling frequency, early warning threshold, and data upload cycle.

[0048] Specifically, step S10 includes: S101: Extract typical pollutant types from the enterprise's pollution discharge profile information, and use the standard limits corresponding to the typical pollutant types as the benchmark values ​​for the preset threshold range.

[0049] In this embodiment, the standard limit refers to the maximum allowable emission concentration specified by the local pollutant emission standards of the park. For example, the "Electroplating Pollutant Emission Standard" (GB 21900-2008) stipulates that the total nickel ≤ 0.5 mg / L and COD ≤ 80 mg / L. Some parks implement stricter standards.

[0050] Specifically, the central control system periodically reads the "typical pollutant types" field of each enterprise from the enterprise pollution discharge profile database; and it has built-in standard limit mappings for each pollutant type. For example, Ni 2+The standard limits for Cr6+, COD, CN-, and pH are 0.5, 0.1, 500, 0.3, and 6-9, respectively, in mg / L. The preset threshold ranges are [0, 0.5], [0, 0.1], [0, 500], [0, 0.3], and [6, 9], respectively.

[0051] S102: Dynamically adjust the sampling frequency and early warning threshold based on the emission fluctuation cycle and historical frequency of exceeding standards of the polluting enterprises.

[0052] In this embodiment, the basic sampling frequency is set to 5 minutes / time; the basic warning threshold is 85% of the standard limit. The dynamic adjustment logic is executed by the central control system. For example, based on the historical frequency of exceeding the standard, if the enterprise has exceeded the standard ≥ 2 times in the past 180 days, the sampling frequency is increased to the basic frequency × 1.5 = 3.3 minutes / time; the warning threshold is tightened to 70% of the standard limit, such as Ni. 2+ Increase to 0.35 mg / L. If the number of times the limit is exceeded is 0, maintain the baseline parameter.

[0053] Based on the emission fluctuation cycle, if the emission fluctuation cycle is less than 24 hours (e.g., fluctuates once every 12 hours), it indicates that the emissions are unstable. In this case, a sliding window is used to dynamically update the preset threshold range: for example, the 95th percentile of the company's emission data for the past 7 days is calculated every 24 hours as the new upper limit, which is required not to exceed the standard limit; the sampling frequency is increased to 2 minutes / time to capture short-term peaks.

[0054] S103: If the production process status of the polluting enterprise is under maintenance, trial production or raw material change, the data upload frequency of the monitoring module of the corresponding polluting enterprise will be increased.

[0055] In this embodiment, the production process status is pushed through the MES system connected to the park platform. After the enterprise's environmental officer reviews it, it fills in the information through a mobile APP. When the status field is maintenance, trial production or raw material change, the data upload frequency is increased, and the duration is from the start of the status to the end of the status + 24 hours to cover potential delayed emissions.

[0056] S104: Associate the preset threshold range, sampling frequency, early warning threshold and data upload cycle to obtain overall water quality monitoring data.

[0057] In this embodiment, the four parameters generated in the above steps are packaged into structured data objects according to the monitoring unit or enterprise granularity to obtain overall water quality monitoring numerical information.

[0058] S20: Obtain hydraulic parameter information of the sewage collection pipe, and obtain zonal monitoring parameters based on the hydraulic parameter information, the spatial topology of the monitoring unit, and the overall water quality monitoring data.

[0059] In this embodiment, the hydraulic parameters reflect the real-time physical quantities of sewage flow in the pipe network, including the flow rates (m³) of each branch pipe, main pipe, and regulating tank. 3 The parameters include ( / h), liquid level (m), and water flow direction, used to calculate pollutant migration time. Spatial topology refers to the connection relationships and physical distances between branch pipes, main pipes, valves, and regulating tanks within the monitoring unit, stored as a graph structure in the GIS system; nodes represent branch pipe outlets, main pipe junctions, and regulating tank inlets; edges represent pipe segments with attributes such as pipe diameter (D), length (L), material, and slope. Zonal monitoring parameters refer to the customized monitoring configuration for each sampling point, including the sampling point's location, sensor type, monitoring indicators, and real-time thresholds for each monitoring indicator.

[0060] Specifically, step S20 includes: S201: Calculate the hydraulic retention time from each branch pipe to the main pipe and from the main pipe to the equalization tank based on the flow rate and liquid level.

[0061] In this embodiment, flow rate (Q) refers to the volume of sewage passing through the cross-section of the pipe per unit time, with units of m³. 3 / h, measured by an electromagnetic flow meter or ultrasonic flow meter; liquid level (H) is the height of the sewage liquid level in the pipe or regulating tank, in meters, measured by an ultrasonic / radar level gauge; water flow direction: the vector direction of sewage flow (including positive and negative directions), determined by the sign of the output signal of the flow meter.

[0062] Specifically, to obtain pipeline path information and pipeline volume: First, read the path information from the spatial topology, for example, pipe E: diameter D = 0.1m, length L = 40m; main pipe section M3: D = 0.3m, L = 120m. Then, obtain the real-time flow rate Q = 6m³ / h of branch pipe E from the hydraulic parameter information. 3 / h; then calculate the pipe volume: The volume of branch pipe E is V. E =3.1416 × (0.05) 2 ×40≈0.314m 3 Calculate the hydraulic residence time HRT = V / Q, where V is the pipe volume and Q is the flow rate. For example, from branch pipe E to the junction with the main pipe... Similarly, calculate the HRT from the main pipe M3 to the regulating tank R1, assuming Q = 20m. 3 / h, V=8.48m 3 The calculated HRT is approximately 25.4 minutes.

[0063] S202: If the hydraulic residence time of a certain path is less than the preset time threshold, a high-frequency instantaneous sampling point is set at the end of the path.

[0064] In this embodiment, a preset time threshold is set to 5 minutes. When HRT < 5 minutes, pollutants pass through quickly, which can easily form an "impact load," requiring high-frequency capture of instantaneous peak values.

[0065] For example, if the HRT of branch pipe E is 3.14 minutes (less than 5 minutes), a high-frequency instantaneous sampling strategy is triggered. Sampling points are deployed 1.0–1.5 meters before branch pipe E merges into the main pipe. The sensor type is a multi-parameter integrated probe that supports simultaneous monitoring of pH, COD, and Ni. 2 + The sampling mode is set to high-frequency instantaneous sampling. A bypass sampling tube and an automatic sampling valve (such as Swagelok SS-4BW) are installed in the corresponding location; the sampling signal is triggered by the PLC according to the scheduling command, and the sample is sent to the nearest analysis cabin.

[0066] S203: If the hydraulic residence time of a certain path is greater than or equal to the preset time threshold, then set a trend sampling point at the inlet of the regulating pool of the path and enable the peak capture mode.

[0067] In this embodiment, HRT ≥ 5 minutes ensures thorough mixing of pollutants and a stable concentration, suitable for trend monitoring, but occasional peaks must be prevented. For example, an online water quality analyzer is deployed 0.5 meters upstream of the inlet of equalization tank R1, with sampling modes of trend sampling and peak capture. The peak capture mode's operating logic includes: a default sampling frequency of 10 minutes / time below the high-frequency point; when the system detects any indicator change rate > 20% / minute or exceeds the warning threshold of 90%, additional sampling is immediately triggered; three consecutive abnormalities initiate a sample retention procedure.

[0068] S204: Based on the preset threshold range in the overall water quality monitoring data, assign corresponding real-time thresholds to each sampling point.

[0069] In this embodiment, a preset threshold range for a certain monitoring unit is extracted from the overall water quality monitoring data, and data correlation is performed. For example, the high-frequency instantaneous sampling point of branch pipe E, because enterprise E has frequently exceeded the standard in the past, its Ni 2+ Real-time threshold = warning threshold = 0.35 mg / L; the trend sampling point at the inlet of the regulating pool R1 is used as the summary point, and a more lenient real-time threshold, such as 90% of the standard limit, is adopted.

[0070] Specifically, whenever the overall water quality monitoring data is updated (such as when the enterprise status changes), the system automatically reassigns the real-time thresholds for all relevant sampling points.

[0071] S30: Trigger a water quality data acquisition command based on the zone monitoring parameters and overall water quality monitoring data.

[0072] In this embodiment, the control system polls all partition monitoring parameters every 5 minutes; for high-frequency instantaneous sampling points, it automatically sends acquisition instructions to the corresponding automatic sampling module according to the sampling frequency (e.g., increased to 3.3 minutes / time); for trend sampling points, acquisition is triggered only when the rate of change of the indicator exceeds the threshold; all instructions are sent to the edge computing gateway via the MQTT protocol and then forwarded to each sampling device.

[0073] S40: Obtain the water quality detection information of the zone, compare the water quality detection information of the zone with the corresponding preset threshold range in the overall water quality monitoring data to obtain the zone deviation value, compare the zone deviation value with the preset fluctuation threshold range, and if the zone deviation value exceeds the preset fluctuation threshold range, trigger the zone water quality abnormality information collection command.

[0074] In this embodiment, the partition deviation value refers to the relative deviation between the measured value and the median of a preset threshold, and the calculation formula is as follows: The fluctuation threshold is the system's preset allowable fluctuation ratio, such as 0.2% or 20%. Different fluctuation thresholds can be associated with different monitoring indicators.

[0075] For example, taking COD monitoring of monitoring unit F as an example: the preset threshold range in the overall water quality monitoring data is [200, 500] mg / L, then the median is 350, and the threshold width is 300; the measured COD is 620 mg / L; the zonal deviation value is |620–350| / 300≈0.9; the preset fluctuation threshold is 0.3; since 0.9>0.3, the system determines it to be abnormal and triggers the "zonal water quality abnormality information collection instruction", recording the abnormal time, indicator type, and monitoring unit ID.

[0076] S50: Based on the instructions for collecting abnormal water quality information in the zone and the enterprise's sewage discharge profile information, obtain water quality control parameter information, and trigger control instructions or alarm instructions based on the water quality control parameter information.

[0077] In this embodiment, water quality control parameter information refers to a set of executable instructions refined by monitoring unit or enterprise granularity, including pollution source confidence ranking results, valve isolation instructions, sample retention trigger signals, emergency response levels, etc. Emergency response levels are classified according to the severity of the anomaly, such as Level 1 for minor exceedances and Level 3 for highly toxic substance exceedances.

[0078] Specifically, in step S50, based on the zoned water quality anomaly information collection instruction and combined with the enterprise's wastewater discharge profile information, water quality control parameter information is obtained, including: S501: Based on the instructions for collecting abnormal water quality information in the zone, obtain the time of occurrence of the abnormality and the type of abnormal indicators.

[0079] In this embodiment, the zonal water quality anomaly information collection instruction is a structured event notification generated by the anomaly identification module, which includes the anomaly occurrence time, the anomaly monitoring unit identifier, and the anomaly indicator type (such as Ni). 2+ The system collects water quality data such as COD (water quality index, COD) and measured values. When the system determines that the water quality of a certain monitoring unit is abnormal, it will generate a zone-specific water quality anomaly information collection instruction.

[0080] S502: Based on the hydraulic retention time of each sewage discharge enterprise, reverse the calculation of the possible discharge window of each enterprise's branch pipe before the time of the abnormality.

[0081] In this embodiment, the hydraulic retention time is the time required for wastewater to flow from the outlet of a branch pipe of a certain enterprise to the anomaly detection point. The potential discharge window refers to the time interval before the time of the anomaly occurrence, with a length equal to the hydraulic retention time of that enterprise.

[0082] Specifically, based on the anomaly monitoring unit identifier, the system queries all polluting enterprises contained within that unit. Then, it reads the hydraulic retention time (HRT) from each enterprise's branch pipe to the anomaly detection point from a pre-stored path feature database. The system calculates the potential emission window for each enterprise using the formula: Potential emission window start time = Anomaly occurrence time - HRT, Potential emission window end time = Anomaly occurrence time. All enterprises within this time window are marked as potential pollution sources.

[0083] S503: Based on the historical frequency of exceeding standards and the status of production processes in the enterprise's pollution discharge profile information, rank the enterprises within the potential emission window according to their pollution source confidence.

[0084] In this embodiment, the pollution source confidence level is a quantitative score ranging from 0% to 100% used to assess the likelihood that a company will cause the current anomaly within a possible emission window.

[0085] Specifically, profile information of potential pollution source enterprises is obtained from the enterprise pollution discharge profile database. A preset scoring rule is used to calculate the confidence level: the base score is 30%; if there are ≥3 instances of exceeding standards in the past 180 days, an additional 40% is added; if the current status is "trial production" or "raw material change," an additional 20% is added; if the current status is "maintenance" and no discharge is confirmed, the confidence level is 0%; if the enterprise's typical pollutants do not contain abnormal indicators, the confidence level is also 0%. Finally, the enterprises are ranked from highest to lowest confidence level.

[0086] Furthermore, the confidence level of the pollution source is calculated dynamically, and the quantitative formula for the confidence level of the pollution source is as follows: Confidence k (t) = Base + HistoryBonus k +StateBonus k (t)-Penaltyk (t) Among them, Confidence k (t) represents the confidence level (0-100%) of enterprise k as a pollution source at time point t. A higher value indicates a greater likelihood that the enterprise is a pollution source. Base is the baseline score, with values ​​such as 30% representing the default risk. HistoryBonus k Bonus points are awarded based on the historical frequency of exceeding limits for enterprise k; StateBonus k (t) is a bonus based on the current production process status of firm k; Penalty k (t) is the penalty score based on real-time data.

[0087] HistoryBonus k The calculation formula is: Where, Count exceed,k For company k, this refers to the number of times it exceeded the limit in the past 180 days; T max This is the maximum threshold for the number of times the limit is exceeded, such as 5 times. StateBonus k The formula for calculating (t) is: Penalty k The formula for calculating (t) is: HRT k It is the hydraulic residence time (T) from branch pipe k of the enterprise to the testing point. min The minimum number of times the limit is exceeded is set; if the HRT is less than the minimum threshold (e.g., 1 minute), the penalty is infinitely large (i.e., the company is excluded) because the pollutants may not have reached the detection point.

[0088] S504: Based on the pollution source confidence ranking results, generate valve isolation instructions or sample retention trigger instructions for enterprises with high confidence, as water quality control parameter information.

[0089] In this embodiment, the water quality control parameter information is used as a set of instructions to execute subsequent control actions, including valve isolation instructions, sample retention trigger instructions, and emergency response levels. A valve isolation instruction, for example, closes valve ZG02-01 connecting the branch pipe to the main pipe and opens valve ZB02-01 connecting the branch pipe to the main / standby pipe, switching the wastewater to the emergency tank. A sample retention trigger instruction activates the automatic sampling device on the branch pipe to begin collecting a 24-hour mixed average water sample for subsequent testing.

[0090] Specifically, a high confidence threshold is set; automatic control instructions are generated only for enterprises with a confidence level not lower than this threshold. For high-confidence enterprises, the system generates water quality control parameter information, including valve isolation instructions, sample retention trigger instructions, and emergency response levels. These instructions are sent to the PLC controller and sampling equipment via industrial communication protocols for automatic execution.

[0091] In this embodiment, in step S50, based on the water quality control parameter information, a control command or alarm command is triggered, including: S511: Based on the water quality control parameter information, obtain the zone control parameter information, which includes valve action commands, sampling point retention trigger signals, and the emergency response level of the corresponding monitoring module.

[0092] In this embodiment, the valve action command refers to the specific operational command used to control the opening and closing of the electric valve, such as "close ZG02-01" or "open ZB02-01". The sampling point retention trigger signal refers to the start command sent to the automatic sampling device, used to collect mixed water samples or instantaneous water samples within a specified time window. The emergency response level is a risk level comprehensively assessed by the system based on factors such as the severity of the anomaly, the toxicity of the pollutants, and the confidence level of the pollution source, and is divided into Level 1 (low risk), Level 2 (medium risk), and Level 3 (high risk).

[0093] For example, for enterprise ENT-02, the generated zonal control parameter information includes: valve action command is "close ZG02-01, open ZB02-01", sampling point retention trigger signal is "start 24-hour mixed sampling of branch pipe ENT-02", and emergency response level is level 2.

[0094] S512: Compare the emergency response level with the preset response level threshold. If the emergency response level is lower than or equal to the preset response level threshold, trigger the control command according to the zonal control parameter information.

[0095] In this embodiment, the preset response level threshold is set to level 2, which is a pre-set automatic execution threshold. That is, when the emergency response level is ≤2, it can be executed automatically, and when it is >2, it needs to be verified twice.

[0096] For example, if the emergency response level is less than or equal to a preset threshold (e.g., Level 1 or 2), the system directly issues control commands to the PLC controller and automatic sampling equipment based on the zone control parameter information. The control commands are transmitted via an industrial communication protocol such as Modbus TCP. The PLC executes valve switching, and the sampling equipment starts the sampling program; the entire process requires no manual intervention. If the emergency response level is higher than the preset threshold (i.e., Level 3), for example, if the abnormal indicator is the highly toxic substance cyanide with a confidence level >90%, the system does not immediately execute automatic control. In this case, the system triggers a secondary verification command for the control information. This secondary verification command is used to initiate a manual review or auxiliary verification process.

[0097] Specifically, the water quality monitoring system pushes alarm pop-ups to the park's environmental protection duty platform and automatically retrieves the following auxiliary information: real-time drainage flow rate of the enterprise, video monitoring footage, historical discharge data for the same period, and online instrument calibration status. Duty personnel must confirm within 5 minutes whether to execute control measures, or the system will automatically activate backup verification logic: for example, comparing whether data from adjacent sampling points are synchronously abnormal, or calling backup sensors for retesting.

[0098] S513: If the emergency response level is higher than the preset response level threshold, a secondary verification instruction for control information is triggered, and secondary control parameter information is obtained according to the secondary verification instruction for control information.

[0099] S514: Trigger control commands based on secondary control parameter information.

[0100] In this embodiment, if the anomaly is confirmed, the secondary control parameter information is consistent with the original zonal control parameter information; if there is doubt, the emergency response level is downgraded to Level 2 or the instruction is canceled. Based on the secondary control parameter information, the control instruction is ultimately triggered. The control instruction also includes valve action and sample retention trigger signals, and records a "secondary verification" flag for audit traceability. The execution status of all control instructions is fed back to the central control platform in real time. After successful execution, the system updates the "Emergency Response Record" field in the enterprise's pollution discharge profile. This embodiment effectively avoids high-risk misoperations by setting response level thresholds and a secondary verification mechanism.

[0101] For example, the main pipeline is not directly shut off for cyanide-containing wastewater (Level 3 risk) to prevent production shutdowns due to misjudgment. However, for ordinary heavy metal contamination (Level 2 risk), rapid isolation is implemented to improve response efficiency.

[0102] In one embodiment, after step S10, anomaly prediction is performed based on real-time water quality data. A water quality anomaly index and predicted anomaly type are calculated using a preset prediction model. Specifically, this includes: S100: Input real-time water quality data into the water quality prediction model, which is trained based on a long short-term memory network. Input features include COD change rate, ammonia nitrogen gradient, pH fluctuation value, and flow deviation.

[0103] In this embodiment, the COD change rate (ΔC) is the slope of the change in chemical oxygen demand per unit time, reflecting the abrupt change trend of organic load; the ammonia nitrogen gradient (ΔN) is the first-order difference value of ammonia nitrogen concentration between continuous sampling points, used to identify abnormal discharge of nitrogen-containing wastewater; the pH fluctuation value (ΔP) refers to the absolute deviation of the current pH value from the mean within the sliding window, characterizing the risk of acid-base shock. The flow deviation (ΔF) is the relative deviation between the measured instantaneous flow rate and the historical average flow rate for that period, used to detect illegal discharge or pipeline leakage events. The input features are normalized. In this embodiment, the prediction results of the water quality prediction model will be used as one of the prerequisites for triggering the "zonal water quality anomaly information collection command," thereby realizing the transformation from "post-event response" to "pre-event warning," significantly improving the operational safety and emergency response efficiency of the park's wastewater system.

[0104] S200: Calculation of Water Quality Anomaly Index I a : I a = α×ΔC + β×ΔN + γ×ΔP + δ×ΔF Among them, I a The values ​​represent the water quality anomaly index, ΔC represents the COD change rate, ΔN represents the ammonia nitrogen gradient, ΔP represents the pH fluctuation value, ΔF represents the flow deviation, and α, β, γ, and δ are weighting coefficients calibrated using historical data. For example, in industrial parks dominated by organic pollution, α is taken as a higher value (e.g., 0.4), while in areas with concentrated electroplating enterprises, γ and δ can be appropriately increased to enhance sensitivity to acid-base shocks and sudden flow changes. If I a If the water quality exceeds a preset anomaly index threshold, a water quality anomaly prediction result will be output. The anomaly types include heavy metal contamination, organic pollution, sudden flow changes, or biotoxic events. The preset anomaly index threshold is, for example, 0.75.

[0105] Specifically, anomaly types are classified and identified based on the contribution of each input feature, including: If ΔC is dominant and ΔN increases synchronously, it is determined to be an organic pollution event; If ΔP deviates significantly and is accompanied by a sudden increase in ΔF, it is determined to be a flow change or an acid-base shock event; If indirect indicators related to heavy metals (such as abnormal conductivity and sudden drop in redox potential) are activated in the model output, and the heavy metal-containing enterprises in the enterprise pollution profile are in production, then it is judged as a risk of heavy metal exceeding the standard. If multiple parameters are synchronously abnormal but there are no obvious chemical characteristics, and the online biotoxicity monitoring equipment alarms simultaneously, it is determined to be a biotoxicity event.

[0106] It should be understood that the sequence number of each step in the above embodiments does not imply the order of execution. The execution order of each process should be determined by its function and internal logic, and should not constitute any limitation on the implementation process of the embodiments of this application.

[0107] In one embodiment, a water quality monitoring system for wastewater collection in a park is provided, which corresponds to the water quality monitoring method for wastewater collection in a park as described in the above embodiment.

[0108] A water quality monitoring system for wastewater collection pipes in an industrial park includes a monitoring unit division module, a monitoring and sampling module, an anomaly response control module, and a flow path switching execution module. Detailed descriptions of each functional module are as follows: The monitoring unit division module is used to divide the park's sewage pipe network into several independent monitoring units according to the enterprise's access situation. Each monitoring unit contains branch pipes of multiple sewage discharge enterprises, and each enterprise's branch pipe is connected to the main pipe corresponding to the wastewater type. The monitoring and sampling module includes an online water quality testing module deployed on the main pipe of each monitoring unit, and an independent automatic sampling module configured on each branch pipe; The abnormal response control module is used to trigger the automatic sampling devices of all branches in the monitoring unit to synchronously collect instantaneous water samples when the online water quality detection module of any monitoring unit detects an abnormal water quality index, and to receive the water quality analysis results of each instantaneous water sample. The flow path switching execution module connects to the flow path control valve in the park's sewage pipe network. It is used to switch the sewage flow path of the branch pipe with abnormal water quality or the entire monitoring unit to the emergency treatment channel based on the water quality analysis results, while allowing the sewage in the normal branch pipe to continue to flow into the regular treatment path. The flow path switching execution module is also used to control the flow path control valve to switch the sewage flow path back to the normal treatment path after the abnormal state of the branch pipe is resolved and the water quality indicators return to normal.

[0109] For specific limitations regarding a water quality monitoring system for wastewater collection in a park, please refer to the limitations of a water quality monitoring method for wastewater collection in a park mentioned above, which will not be repeated here. Each module in the aforementioned water quality monitoring system for wastewater collection in a park can be implemented entirely or partially through software, hardware, or a combination thereof. Each module can be embedded in or independent of the processor in a computer device in hardware form, or it can be stored in the memory of a computer device in software form, so that the processor can call and execute the operations corresponding to each module.

[0110] In one embodiment, a computer device is provided, which may be a server, and its internal structure diagram may be as follows: Figure 3As shown, the computer device includes a processor, memory, network interface, and database connected via a system bus. The processor provides computing and control capabilities. The memory includes non-volatile storage media and internal memory. The non-volatile storage media stores the operating system, computer programs, and database. The internal memory provides an environment for the operation of the operating system and computer programs stored in the non-volatile storage media. The database stores water quality testing data, water quality analysis results, etc. The network interface is used for communication with external terminals via a network connection. When the computer program is executed by the processor, it implements a water quality monitoring method for wastewater collection through a central sewage pipe in a park.

[0111] In one embodiment, a computer device is provided, including a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor executes the computer program to implement the steps of a method for monitoring water quality collected by a wastewater collection pipe in a park.

[0112] In one embodiment, a computer-readable storage medium is provided having a computer program stored thereon, which, when executed by a processor, implements the steps of a method for monitoring water quality collected by a wastewater collection pipe in a park.

[0113] Those skilled in the art will understand that all or part of the processes in the above embodiments can be implemented by a computer program instructing related hardware. The computer program can be stored in a non-volatile computer-readable storage medium, and when executed, it can include the processes of the embodiments of the above methods. Furthermore, any references to memory, storage, databases, or other media used in the embodiments provided in this application can include non-volatile and / or volatile memory.

[0114] Those skilled in the art will clearly understand that, for the sake of convenience and brevity, the above-described division of functional units and modules is used as an example. In practical applications, the above functions can be assigned to different functional units and modules as needed, that is, the internal structure of the device can be divided into different functional units or modules to complete all or part of the functions described above.

[0115] The above-described embodiments are only used to illustrate the technical solutions of this application, and are not intended to limit them. Although this application has been described in detail with reference to the foregoing embodiments, those skilled in the art should understand that modifications can still be made to the technical solutions described in the foregoing embodiments, or equivalent substitutions can be made to some of the features. Such modifications or substitutions do not cause the essence of the corresponding technical solutions to deviate from the spirit and scope of the technical solutions of the embodiments of this application, and should all be included within the protection scope of this application.

Claims

1. A method for monitoring water quality collected by a wastewater collection pipe in a park, characterized in that, include: The park’s sewage pipe network is divided into several independent monitoring units according to the enterprise’s access. Each monitoring unit contains branch pipes of multiple sewage-discharging enterprises, and each enterprise’s branch pipe is connected to the main pipe corresponding to the wastewater type. An online water quality testing module is installed on the main pipe of each monitoring unit, and an independent automatic sampling module is configured on each branch pipe. When the online water quality detection module of any monitoring unit detects an abnormal water quality index, the control system triggers the automatic sampling device of all branches in the corresponding monitoring unit to synchronously collect instantaneous water samples and perform water quality analysis on each instant. Based on the water quality analysis results, the sewage flow path of the branch pipe or the entire monitoring unit with abnormal water quality will be switched to the emergency treatment channel, while the sewage in the normal branch pipe will continue to flow into the regular treatment path. After the abnormal condition of the branch pipe is resolved and the water quality indicators return to normal, the sewage flow path will be switched back to the conventional treatment path.

2. The water quality monitoring method for wastewater collection pipes in a park according to claim 1, characterized in that, Also includes: For branch pipes where instantaneous water sample testing exceeds the standard, periodic mixed average water sample collection is initiated, and the average water sample is subjected to secondary water quality analysis screening. If the second screening is successful, the sampling device is emptied and reset; otherwise, the average water sample is retained. If the same branch pipe is confirmed to have abnormal water quality N times in a preset period, the connection between the branch pipe and the main pipe will be automatically cut off, and the sewage will be diverted to a secondary backup pipe for independent monitoring, entering a locked monitoring state.

3. The water quality monitoring method for wastewater collection pipes in industrial parks according to claim 1, characterized in that, Also includes: Obtain real-time water quality data from all monitoring units and enterprise pollution discharge profiles for each discharging enterprise; Based on the enterprise's pollution discharge profile information and the real-time water quality data, overall water quality monitoring numerical information is obtained; Obtain hydraulic parameter information of the sewage collection pipe, and obtain zonal monitoring parameters based on the hydraulic parameter information, the spatial topology of the monitoring unit, and the overall water quality monitoring data. Based on the zonal monitoring parameters and the overall water quality monitoring data, a water quality data acquisition command is triggered. Obtain zone water quality testing information, compare the zone water quality testing information with the corresponding preset threshold range in the overall water quality monitoring numerical information to obtain the zone deviation value, compare the zone deviation value with the preset fluctuation threshold range, and if the zone deviation value exceeds the preset fluctuation threshold range, trigger the zone water quality abnormality information collection command. Based on the instructions for collecting abnormal water quality information in the designated area and the enterprise's wastewater discharge profile information, water quality control parameter information is obtained. Based on the water quality control parameter information, control instructions or alarm instructions are triggered.

4. The water quality monitoring method for wastewater collection pipes in a park according to claim 3, characterized in that, The overall water quality monitoring data includes preset threshold range, sampling frequency, early warning threshold, and data upload cycle; Based on the enterprise's wastewater discharge profile information and the real-time water quality data, overall water quality monitoring numerical information is obtained, including: Typical pollutant types are extracted from the enterprise's pollution discharge profile information, and the standard limits corresponding to the typical pollutant types are used as the benchmark values ​​for the preset threshold range. The sampling frequency and the early warning threshold are dynamically adjusted based on the emission fluctuation cycle and historical frequency of exceeding standards of the polluting enterprises. If the production process status of a polluting enterprise is under maintenance, trial production, or raw material change, the data upload frequency of the monitoring module corresponding to the polluting enterprise will be increased. By associating the preset threshold range, sampling frequency, early warning threshold, and data upload cycle, the overall water quality monitoring numerical information is obtained.

5. The water quality monitoring method for wastewater collection pipes in a park according to claim 3, characterized in that, The step of obtaining zonal monitoring parameters based on the hydraulic parameter information, the spatial topology of the monitoring unit, and the overall water quality monitoring numerical information includes: The hydraulic parameters include the flow rate, liquid level, and flow direction of each branch pipe, main pipe, and regulating tank; the zone monitoring parameters include the location of each sampling point in each monitoring module, the sensor type, and the real-time threshold of the corresponding monitoring index. Based on the flow rate and liquid level, calculate the hydraulic retention time from each branch pipe to the main pipe and from the main pipe to the equalization tank; If the hydraulic residence time of a certain path is less than a preset time threshold, a high-frequency instantaneous sampling point is set at the end of the path; If the hydraulic residence time of a certain path is greater than or equal to the preset time threshold, a trend sampling point is set at the inlet of the regulating pool of the path, and the peak capture mode is enabled. Based on the preset threshold range in the overall water quality monitoring data, a corresponding real-time threshold is assigned to each sampling point.

6. The water quality monitoring method for wastewater collection pipes in a park according to claim 3, characterized in that, The step of obtaining water quality control parameter information based on the zoned water quality anomaly information collection instruction and the enterprise wastewater discharge profile information includes: According to the instructions for collecting abnormal water quality information in the designated area, the time of occurrence of the abnormality and the type of abnormal indicators are obtained; Based on the hydraulic retention time of each sewage discharge enterprise, the possible discharge window of each enterprise's branch pipe before the time of the abnormality is calculated in reverse. Based on the historical frequency of exceeding standards and production process status in the enterprise pollution profile information, enterprises within the potential emission window are ranked by pollution source confidence. Based on the pollution source confidence ranking results, valve isolation instructions or sample retention trigger instructions are generated for enterprises with high confidence levels, which serve as the water quality control parameter information.

7. The water quality monitoring method for wastewater collection pipes in a park according to claim 6, characterized in that, The triggering of control commands or alarm commands based on the water quality control parameter information includes: Based on the water quality control parameter information, zonal control parameter information is obtained, wherein the zonal control parameter information includes valve action commands, sampling point retention trigger signals, and the emergency response level of the corresponding monitoring module; The emergency response level is compared with a preset response level threshold. If the emergency response level is lower than or equal to the preset response level threshold, a control command is triggered based on the zoning control parameter information. If the emergency response level is higher than the preset response level threshold, a secondary verification instruction for control information is triggered, and secondary control parameter information is obtained according to the secondary verification instruction for control information. Based on the secondary control parameter information, a control command is triggered.

8. A water quality monitoring system for wastewater collection pipes in a park, characterized in that, The system is used to perform a water quality monitoring method for wastewater collection in a park as described in any one of claims 1 to 7, the system comprising: The monitoring unit division module is used to divide the park's sewage pipe network into several independent monitoring units according to the enterprise's access situation. Each monitoring unit contains branch pipes of multiple sewage discharge enterprises, and each enterprise's branch pipe is connected to the main pipe corresponding to the wastewater type. The monitoring and sampling module includes an online water quality testing module deployed on the main pipe of each monitoring unit, and an independent automatic sampling module configured on each branch pipe; The abnormal response control module is used to trigger the automatic sampling devices of all branches in the monitoring unit to synchronously collect instantaneous water samples when the online water quality detection module of any monitoring unit detects an abnormal water quality index, and to receive the water quality analysis results of each instantaneous water sample. The flow path switching execution module is connected to the flow path control valve in the park's sewage pipe network. It is used to switch the sewage flow path of the branch pipe with abnormal water quality or the entire monitoring unit to the emergency treatment channel according to the water quality analysis results, while allowing the sewage in the normal branch pipe to continue to flow into the regular treatment path. The flow path switching execution module is also used to control the flow path control valve to switch the sewage flow path back to the normal treatment path after the abnormal state of the branch pipe is resolved and the water quality indicators return to normal.

9. A computer device comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, characterized in that, When the processor executes the computer program, it implements the steps of the water quality monitoring method for wastewater collection pipes in a park as described in any one of claims 1 to 7.

10. A computer-readable storage medium storing a computer program, characterized in that, When the computer program is executed by the processor, it implements the steps of the water quality monitoring method for wastewater collection pipes in a park as described in any one of claims 1 to 7.

Images