Ecological sensitive area bridge construction wastewater recycling system

Abstract

The invention relates to the technical field of construction wastewater treatment, in particular to an ecological sensitive area bridge construction wastewater recycling system which comprises a diagnosis unit, a standard clear water supply device, a turbidity sensor and a controller. The method comprises the following steps of: measuring the turbidity of a water body until the turbidity meets a preset threshold value, calculating a pollution load index on the basis of the amount of clean water consumed in the process or time, and then routing the wastewater to different treatment units according to the index, so that direct measurement of the pollution degree of the water body is converted into a physical process of calibrating the pollution load by using the consumption of standard clean water; a stable pollution load index with engineering guidance significance is generated for dynamically changing unknown water entry, so that subsequent differentiation scheduling is established on the basis of objective and quantitative decision, and a traditional indifference homogenization low-efficiency processing mode caused by the fact that the water entry state cannot be effectively recognized is changed.

Description

Technical Field

[0001] This invention relates to a wastewater recycling system for bridge construction in ecologically sensitive areas, belonging to the field of construction wastewater treatment technology. Background Technology

[0002] In bridge construction activities in ecologically sensitive areas, the collection, treatment, and recycling of wastewater generated during the process are fundamental requirements for environmental protection and resource conservation. Currently, the commonly used method in this technical field is to set up large-capacity sedimentation tanks to collect all construction wastewater, using physical sedimentation to achieve solid-liquid separation before reuse. This method can achieve the preset treatment effect when treating continuous and uniform wastewater. However, the wastewater generation process at bridge construction sites exhibits typical dynamic changes and multi-source heterogeneous characteristics. For example, drilling operations can generate high turbidity. The process involves the collection of muddy water and the washing of tools, which produces low-turbidity wastewater. Occasional rainfall brings clean surface runoff. When the above-mentioned large-pool collection method is applied to construction sites with limited space and variable working conditions, its inherent limitations arise in order to ensure the certainty of the treatment results. That is, regardless of the quality of the incoming water, all water bodies are indiscriminately collected into the same pool for homogenization and mixing. As a result, clean water is assimilated by highly polluted wastewater, and the purification cycle of the entire system is forced to be based on the most severe pollution situation, resulting in reduced treatment efficiency and ineffective use of site resources.

[0003] To address these issues, a direct approach is to install high-precision online water quality monitoring sensors at the inlet, attempting to guide wastewater diversion by measuring the absolute concentration of pollutants in real time. However, in construction environments characterized by sediment and frequent vibrations, such precision sensors are generally susceptible to contamination, require frequent calibration, incur high operating costs, and suffer from insufficient long-term reliability. Furthermore, even when some existing technologies attempt to improve treatment efficiency through automation, their control logic often remains in a pre-defined open-loop operating mode due to the inability to perceive water quality status in real time, lacking adaptability to dynamic changes. For example, [authorization notice number] Chinese invention patent CN108689519A discloses a device for recycling wastewater from tunnel construction. Although the device achieves automatic dosing and sludge scraping functions through a complex mechanical linkage mechanism, its operating logic is essentially a fixed, programmed operation triggered by a preset time. This one-size-fits-all control method cannot make any form of quantitative judgment on the quality of the incoming water. Whether it is high-concentration mud water or low-turbidity flushing water, the same dosing and cleaning cycle is performed. This may not only cause waste of chemicals or incomplete treatment, but also fail to solve the fundamental problem of cross-contamination between different water bodies. In essence, it still belongs to the category of homogenization treatment.

[0004] Therefore, this field faces an inherent technological constraint: on the one hand, efficient wastewater recycling requires the system to possess real-time awareness and differentiated treatment capabilities for influent water quality; on the other hand, in demanding engineering sites, there is a lack of low-cost, stable methods for directly acquiring this information. Specifically, existing technologies mainly suffer from the following shortcomings: 1. A lack of effective methods for low-cost, high-reliability online diagnosis of dynamically changing, unknown wastewater in time- and space-constrained engineering sites; 2. The commonly used indiscriminate homogenization treatment method leads to cross-contamination of water resources and reduced utilization efficiency of treatment facilities. Therefore, how to establish a method that does not rely on direct measurement using precision sensors, but rather on a stable and reliable engineering approach to rapidly quantify and classify the pollution load of inflowing wastewater batches, thereby providing a decision-making basis for subsequent differentiated and efficient recycling, becomes the technical problem to be solved by this invention. Summary of the Invention

[0005] This invention provides a wastewater recycling system for bridge construction in ecologically sensitive areas. Its main purpose is to solve the problem that the existing technology lacks an effective means for low-cost and high-reliability online diagnosis of dynamic and unknown wastewater, which leads to the low efficiency of the commonly used indiscriminate treatment method.

[0006] To achieve the above objectives, the present invention provides a wastewater recycling system for bridge construction in ecologically sensitive areas, the system comprising: The system includes a diagnostic unit, a standard clean water supply device, a turbidity sensor, a controller, and at least two processing units. The controller is configured to: after a batch of wastewater to be tested is contained in the diagnostic unit, drive the standard clean water supply device to continuously inject standard clean water into the diagnostic unit, and collect turbidity data using a turbidity sensor; when the collected turbidity first meets a preset turbidity threshold condition, an endpoint event is determined to have occurred and the injection is stopped; based on the running time or injection volume of the standard clean water supply device within the time window corresponding to a single endpoint event, calculate the pollution load index (PLI) of the batch of wastewater to be tested; and establish a preset mapping relationship between the PLI value range and the treatment unit. The batch of wastewater to be tested, carrying the Pollution Load Index (PLI), is routed to one of at least two treatment units; and the controller is also configured to execute a gating and rechecking logic, which includes: performing an anomaly determination of the physical or chemical properties of the wastewater to be tested, independent of turbidity, to stop the routing of this batch before injecting standard clean water; and periodically calling the diagnostic unit to recalculate the PLI of the process water sample taken from the treatment unit during the process of the wastewater to be tested entering the treatment unit for treatment, and adjusting the treatment time in the treatment unit according to the recalculation result.

[0007] Preferably, the controller is further configured to: record a series of turbidity monitoring values ​​and corresponding timestamps to generate a dilution response curve during the continuous injection of standard clean water from the supply device; analyze the morphological characteristics of the dilution response curve to determine the sedimentation difficulty level (SDI) of the pollutants in the wastewater to be tested; and, after routing the batch of wastewater to be tested to the treatment unit, adaptively set the treatment time in the treatment unit according to the sedimentation difficulty level (SDI); wherein the sedimentation difficulty level (SDI) is determined by the following formula: ,in, This refers to the change in turbidity value within a preset characteristic range of the dilution response curve. For corresponding The change in the operating time or injection volume of a standard clean water supply device.

[0008] Preferably, the determination of abnormal physical or chemical properties independent of turbidity includes: setting up a pH sensor and an oil film sensor in the diagnostic unit; the controller acquiring pH value and oil film monitoring signals before injecting standard clean water; when the pH value exceeds the preset safety range or the oil film monitoring signal is abnormal, the controller generates a coverage command to route the batch of wastewater to be tested to a dedicated special wastewater isolation unit.

[0009] Preferably, the preset mapping relationship distinguishes at least two different PLI threshold intervals; when the PLI is in the first threshold interval, the controller routes the batch of wastewater to be tested to a high-quality reclaimed water tank; when the PLI is in the second threshold interval, the controller routes the batch of wastewater to be tested to an enhanced sedimentation tank.

[0010] Preferably, the controller determines the pollution load index (PLI) based on the operating time of the standard clean water supply device by recording the cumulative operating time of the standard clean water supply device from the start of standard clean water injection to the occurrence of the endpoint event as a quantitative value characterizing the pollution load index (PLI).

[0011] Preferably, the system further includes a primary collection and buffer unit and a guard turbidity sensor disposed within the primary collection and buffer unit; and the controller is further configured to: monitor the rate of change of turbidity measured by the guard turbidity sensor in real time during the collection of the wastewater to be tested; when the rate of change exceeds a sudden change threshold calculated based on historical turbidity background fluctuation values, interrupt the collection of the current batch, and start the calculation of the pollution load index (PLI) of the collected wastewater to be tested in advance.

[0012] Preferably, the system also includes a primary collection and buffer unit; the controller is further configured to: monitor the silence duration since the last pollution load index (PLI) calculation was completed; and when the silence duration reaches a preset silence threshold, control the circulation device to perform homogenization operation on the wastewater to be tested in the primary collection and buffer unit before the next start-up injection of standard clean water.

[0013] Preferably, the system further includes a temperature sensor for monitoring the temperature of the wastewater to be tested; and the controller is further configured to: obtain a calibration benchmark from a reference model that stores the correspondence between different temperatures and morphological characteristics, calibrated by performing dilution response curve analysis on standard pollutant samples at different temperatures, based on the monitoring value of the temperature sensor; and compensate for the analysis results of morphological characteristics based on the calibration benchmark to obtain a temperature-calibrated sedimentation difficulty level (SDI).

[0014] Preferably, the controller adjusts the processing time based on the recalculation results in the following manner: if the recalculated process pollution load index is lower than a preset effluent standard threshold during the middle of the preset processing time, the processing flow in the processing unit is terminated in advance; if the recalculated process pollution load index is still higher than the preset effluent standard threshold when the preset processing time ends, the processing time in the processing unit is automatically extended.

[0015] Preferably, the controller is also configured to first drive the standard clean water supply device to fill the diagnostic unit with standard clean water before each process of calculating the pollution load index (PLI) begins, and perform zero-point calibration based on the reading of the turbidity sensor at this time; if the reading deviates from the zero point to a preset calibration threshold, a high-pressure backwashing procedure is triggered to clean the diagnostic unit and the turbidity sensor.

[0016] Compared with the prior art, the beneficial effects of the present invention are: 1. By coordinating the operation of the standard clean water supply device and sensors through the controller, the direct measurement of the degree of water pollution is transformed into a physical process that uses the consumption of standard clean water to calibrate the pollution load of the wastewater to be measured. This process generates a stable pollution load index with direct engineering guidance for the dynamically changing and unknown composition of the influent. This allows subsequent differentiated scheduling and treatment based on this index to be established on an objective and quantifiable decision-making basis, avoiding the indiscriminate homogenization treatment method caused by the inability to effectively understand the state of the influent in traditional methods.

[0017] 2. During the process of determining the pollution load index, the controller synchronously records the dynamic changes in the physical properties of the liquid when standard clean water is injected to generate a response curve, and analyzes the morphological characteristics of the curve. This design utilizes the process information generated by the diagnostic process itself, and obtains the basis for judging the sedimentation characteristics of pollutants in wastewater without relying on any new sensing components. This enables the subsequent scheduling unit to make adaptive adjustments to the treatment duration or treatment method based on the total amount of pollutants and their physical characteristics.

[0018] 3. By monitoring the silence time between diagnostic cycles, the controller determines that a prolonged low-flux water condition has occurred. Before initiating pollution load diagnosis, it controls the circulation device to perform homogenization on the wastewater in the collection unit. Simultaneously, after the wastewater enters the corresponding treatment unit, the controller periodically calls the diagnostic unit to perform pollution load diagnosis on the process water samples in the treatment unit. Thus, the system not only avoids sampling distortion that may be caused by pre-sedimentation during the silence period at the diagnostic input end, but also establishes a feedback mechanism for process efficiency at the treatment execution end, forming an adaptive closed loop from source water quality diagnosis to dynamic process optimization. Attached Figure Description

[0019] Fig. 1 This is a flowchart illustrating the key technologies for green building in this invention. Fig. 2 Settlement difficulty level of this invention Curve showing the relationship between settlement efficiency; Fig. 3 This is the logic diagram for online diagnosis and differentiated routing of the wastewater recycling system of the present invention. Detailed Implementation

[0020] To make the objectives, technical solutions, and advantages of the present invention clearer, the technical solutions of the present invention will be clearly and completely described below in conjunction with the embodiments of the present invention. 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.

[0021] A wastewater recycling system for bridge construction in an ecologically sensitive area includes, structurally, a primary collection and buffer unit, a diagnostic unit, a standard clean water supply device, a multi-stage differentiated treatment facility consisting of at least two treatment units, and a controller. Logically, the controller is configured to: sample wastewater from the primary collection and buffer unit to the diagnostic unit; inject standard clean water into the diagnostic unit by driving the standard clean water supply device; calculate a pollution load index characterizing the pollution level of the batch of wastewater based on changes in physical properties fed back by a turbidity sensor installed in the diagnostic unit; and, based on this index, schedule pipeline valves to route the batch of wastewater to the corresponding treatment unit, achieving differentiated treatment and recycling of dynamically incoming water. At bridge construction sites, wastewater quality exhibits multi-source and dynamic characteristics; real-time quantification of incoming water quality is a technical challenge for achieving efficient diversion and disposal. To address this issue, this system converts the direct measurement of pollution status into a physical process that calibrates the pollution load using standard clean water consumption. In one embodiment, the diagnostic unit… The diagnostic process is as follows: Initially, the unit is a diagnostic chamber with an internal stirring function, containing a batch of wastewater to be tested. The standard clean water supply device is a metering pump with a constant rated flow rate of 0.1 liters / second. The supplied standard clean water is treated reclaimed water stored in a high-quality reclaimed water tank with a turbidity below 5 NTU. The diagnostic unit is equipped with a turbidity sensor with a measurement range of 0-4000 NTU. After diagnostic startup, the controller drives the metering pump to continuously inject standard clean water into the diagnostic chamber, and the turbidity sensor... The turbidity sensor collects real-time turbidity values ​​of the mixed liquid at a frequency of 10Hz. Process judgment is based on a preset turbidity threshold condition. For example, if the target reuse path is construction site dust suppression, and the water quality requirement is a turbidity not exceeding 50 NTU, then this turbidity threshold is set to 50 NTU. When the controller detects that the collected turbidity value first meets this threshold condition, it determines that an endpoint event has occurred and stops injecting clean water. Subsequently, the controller determines the pollution load index of this batch of wastewater based on the cumulative running time of the metering pump within the time window corresponding to a single endpoint event. For example, if the metering pump runs for a cumulative 35.5 seconds from the start of injection to the occurrence of the endpoint event, the controller calculates the pollution load index for that batch of wastewater. The value is 35.5. Through this process, the system calculates a quantitative index for a batch of water with unknown composition, providing a decision-making basis for subsequent differentiated scheduling.

[0022] Based on the calculated pollution load index The controller will, based on a preset, The mapping relationship between numerical ranges and different treatment units routes the batch of wastewater to be tested to the appropriate treatment unit. In one embodiment, the mapping procedure is set as follows: the treatment unit includes at least one high-quality reclaimed water tank and one enhanced sedimentation tank, and the controller has two built-in tanks. Threshold, and When the controller determines the current batch The value is within the first threshold range, i.e. When the batch of wastewater is determined to be clean water, the controller drives the pipeline system to pump the batch of wastewater to a high-quality recycled water tank for storage; when The value is located in the second threshold range, that is At that time, it was determined to be moderately polluted wastewater and was routed to a standard settling tank for gravity settling treatment of a conventional duration; when Value higher than threshold ,Right now When wastewater is identified as heavily polluted, the controller routes it to an enhanced settling tank with a larger volume or longer settling path for treatment. This scheduling mechanism achieves the separation and treatment of wastewater with different pollution loads, improving the utilization efficiency of the treatment facilities. Furthermore, to obtain a basis for judging the settling characteristics of pollutants, the controller uses the process information generated during the diversion titration diagnostic process to judge the settling characteristics. Specifically, during the continuous injection of standard clean water from the supply device, the controller synchronously records a series of turbidity monitoring values ​​with timestamps, generating a dilution response curve. The controller then analyzes the morphological characteristics of the dilution response curve to determine the settling difficulty level of the pollutants in this batch of wastewater to be tested. The level of settlement difficulty Determined by the following relation: ;in, The term represents the level of settlement difficulty, and it is a dimensionless parameter. The change in turbidity value within the preset characteristic range of the dilution response curve, expressed in NTU. For corresponding The standard operating time of a clean water supply system is measured in seconds; a larger... The value corresponds to a steep response slope, characterizing the pollutant as easily settling particles; after routing the batch of wastewater to the treatment unit, the controller can... and The two dimensions of information adaptively adjust the processing time within the processing unit, improving the targeting and efficiency of the processing.

[0023] To improve system reliability, several gating and self-calibration logics are implemented. Given the possibility of low-turbidity but highly alkaline or oily wastewater at construction sites, the system employs gating logic, adding pH and oil film sensors to the diagnostic unit. Before initiating standard clean water injection, the controller first performs an anomaly assessment of the physical or chemical properties of the wastewater to be tested, independent of turbidity. When the acquired pH value exceeds the preset safety range (e.g., pH > 9.0), or when the oil film monitoring signal is abnormal, the controller generates a coverage command, routing the batch of wastewater to a dedicated special wastewater isolation unit. Simultaneously, to address sensor contamination issues, the controller performs a self-calibration process after each calculation. Before the process begins, the diagnostic unit is filled with standard clean water, and zero-point calibration is performed based on the reading of the turbidity sensor at this time. If the reading deviates from zero by a preset calibration threshold, such as greater than 2 NTU, a high-pressure backwashing procedure is triggered to clean the diagnostic unit and turbidity sensor. In addition, to cope with changes in on-site operating conditions, the system also has operating condition self-adaptation and process feedback optimization functions. In the event of long-duration, low-flux water inflow conditions, to avoid sampling deviations that may be caused by static pre-settling, the controller is configured to monitor the water flow since the last time. The controller calculates the required silence time. When the silence time reaches a preset threshold, such as 30 minutes, the controller will control the circulation device to perform homogenization on the wastewater to be tested in the primary collection and buffer unit before the next start-up injection of standard clean water. On the other hand, to establish a feedback mechanism for process efficiency, the controller is configured to periodically call the diagnostic unit to recalculate the process water samples taken from the treatment unit during the process of the wastewater to be tested entering the treatment unit. The system adjusts the processing time within the treatment unit based on the recalculation results. Specifically, if the recalculated process pollution load index falls below a preset effluent standard threshold midway through the preset processing time, the treatment process within the treatment unit is terminated early. If the recalculated process pollution load index remains above the effluent standard threshold at the end of the preset processing time, the processing time within the treatment unit is automatically extended. This method allows the diagnostic unit's functions to be reused for monitoring the treatment process, forming a closed-loop operation from diagnosis to process optimization.

[0024] Example 1: This example illustrates a specific application of the described technical solution in a particular scenario. Its technical features, parameters, and operational logic are defined in the foregoing. At a bridge pile foundation construction site located in an ecologically sensitive area, the system faces the following continuously changing water inflow conditions within a workday: From 9:00 AM to 11:00 AM, drilling operations generate a large amount of highly turbid mud water; from 11:00 AM to 11:30 AM, workers washing tools generate a small amount of low-turbidity wastewater; and at 2:00 PM, a sudden downpour brings clean surface runoff. Under traditional treatment methods, these three water streams with vastly different properties would converge into the same sedimentation tank, resulting in the clean rainwater being assimilated by the highly polluted mud water, thus reducing the overall cleanliness of the tank. The treatment cycle is forced to be based on the most severe pollution conditions, resulting in waste of water resources and reduced turnover efficiency of treatment facilities. When the system using this technical solution is used to deal with the above conditions, its operation process is as follows: Starting at 9:00 AM, high-turbidity sludge continuously flows into the primary collection and buffer unit of the system. When the liquid level reaches the preset threshold, the system automatically intercepts the first batch of wastewater to be tested and enters the diagnostic unit. The controller then starts the diversion titration-type rapid pollution load diagnosis process. Due to the high turbidity of this batch of wastewater, the standard clean water supply device needs to run continuously for 65.0 seconds to dilute the turbidity of the mixed liquid in the diagnostic unit to below the preset threshold of 50 NTU. Based on this, the controller calculates the pollution load index of this batch. The value was 65.0; simultaneously, the controller recorded the dilution response curve during the process, which showed a gently decreasing trend, and based on... Calculated settlement difficulty level A relatively small value indicates that the wastewater contains a large number of fine and difficult-to-settle clay particles; based on Value greater than threshold as well as Based on the dual judgment of high sedimentation difficulty, the controller routes the batch of wastewater and subsequent wastewater with similar properties to the enhanced sedimentation tank and sets a longer treatment time for it.

[0025] By 11:00 AM, low-turbidity wastewater from rinsing tools and equipment began to flow in, forming the second batch to be tested. The system performed a diagnostic procedure on this batch of wastewater again. Due to its low pollution load, the standard clean water supply device reached the endpoint event after only 8.0 seconds of operation, and the controller calculated its pollution load index. It is 8.0; this value is located at and In between, the controller routed the batch of wastewater to a standard settling tank for routine treatment; at 2 PM, clean rainwater runoff flowed into the system, forming the third batch to be tested. The diagnostic unit performed a diagnostic test on it, and the standard clean water supply device reached its endpoint in 1.5 seconds. The controller then calculated its pollution load index. The value is 1.5; this value is below the threshold. The controller determines that the water is clean and pumps it directly into a high-quality recycled water tank for storage, to be used for vehicle washing or concrete curing; during this continuous operation, based on The total amount of pollution is judged and based on the value. The two technical features obtained in the same diagnostic process—the determination of pollutant settling characteristics and the determination of wastewater destination—work synergistically. The former solves the path planning problem of where the wastewater should go, and the latter solves the time planning problem of how long the wastewater should stay. Together, they form a two-dimensional scheduling decision-making basis. This operation mode, which first performs online quantitative diagnosis of unknown incoming water and then performs differentiated routing allocation, transforms the wastewater treatment management problem from how to treat a complex and homogeneous pool of water to how to efficiently manage and schedule a series of discrete water batches with clear quantitative labels. By acquiring and judging the information of the water body at the source, the contradiction between treatment efficiency and the certainty of treatment results is resolved within a single system architecture. Without reducing the reliability of the treatment results, the treatment throughput of limited physical space is increased. At the end of the workday, the three main treatment units of the system present a clear functional zoning status: the enhanced settling tank concentrates all the highly polluted sludge water and performs long-term treatment, the standard settling tank is responsible for the conventional wastewater with medium pollution load, and the high-quality reclaimed water tank stores clean rainwater resources and is not subject to cross-contamination. The physical space of the system is used efficiently, and the water resources are maximized according to their own water quality.

[0026] Example 2: To objectively verify the technical effectiveness of this solution in resource utilization efficiency compared to traditional treatment methods when dealing with dynamically changing influent, the following comparative experiment was conducted. The purpose of the experiment was to quantitatively evaluate the online diagnosis and differentiated routing capabilities of the system of the present invention for water bodies with different pollution loads, as well as its protective effect on clean water resources. The experimental platform consisted of two parallel wastewater treatment systems: an experimental group using the technical solution of the present invention and a control group using a traditional single sedimentation tank treatment method. The experimental group system was constructed according to the aforementioned specific implementation method, including a primary collection and buffer unit, a diagnostic unit, and a high-quality... The treatment unit consisted of a wastewater recycling tank and an enhanced settling tank; the control group system contained only a large-volume settling tank with the same total volume as the experimental group system; the water samples used in the experiment were prepared to simulate three typical wastewaters under controlled conditions: A. High-turbidity wastewater, prepared by adding 50 g / L of bentonite to clean water, with an initial turbidity of approximately 3000 NTU, used to simulate drilling mud water; B. Low-turbidity wastewater, prepared by adding 5 g / L of bentonite, with an initial turbidity of approximately 200 NTU, used to simulate tool washing water; C. Clean water, using tap water with an initial turbidity of less than 5 NTU, used to simulate rainwater runoff.

[0027] The experimental procedure was as follows: Within the same total duration, according to a preset time sequence and flow rate, the aforementioned three prepared water samples were simultaneously injected into the inlets of both the experimental and control groups to simulate the generation process of multi-source heterogeneous wastewater within a working day. The specific injection sequence was as follows: from 0 to 20 minutes, 100 liters of Class A high-turbidity wastewater was injected; from 21 to 30 minutes, 50 liters of Class B low-turbidity wastewater was injected; and from 31 to 60 minutes, 200 liters of Class C clean water was injected. Throughout the experiment, the operation log of the controller in the experimental group system was monitored to record the pollution load index for different batches of influent. Calculation results, settlement difficulty level The calculation results and corresponding routing decisions were obtained. After the experiment, water samples from the high-quality recycled water tank in the experimental group and the mixed water samples from the large-volume sedimentation tank in the control group were collected and tested to compare their final water turbidity. The operation process and data records of the experimental group are shown in Table 1. Referring to Table 1, after receiving Class A high-turbidity wastewater, the system calculates its turbidity through the diagnostic unit. The value is 68.2, and its determination is... The wastewater is classified as difficult to settle, and the controller routes all Class A wastewater to the enhanced settling tank accordingly. Subsequently, upon receiving Class B low-turbidity wastewater, it calculates its... The value is 9.5, and it is routed to the enhanced settling tank; finally, when Class C clean water flows in, the system calculates its... The value is 1.8, which is lower than the preset routing threshold. The controller determined that the water was clean and routed it directly to the high-quality recycled water tank. After the test, the turbidity of the water in the high-quality recycled water tank of the test group was 4.8 NTU, which was close to the quality of the clean water before injection.

[0028] Table 1: Data recording table for the experimental group.

[0029] Under the same influent conditions, the control group, which used a single sedimentation tank to mix all incoming water, had a turbidity of 864.5 NTU in the mixed water within its sedimentation tank after the experiment. This result indicates that the 200 liters of Class C clean water injected were contaminated by Class A and Class B wastewater, rendering it unusable as high-quality reclaimed water, and forcing a prolonged purification cycle for the entire tank. The experimental data shows that the experimental group using this technical solution can identify and separate water bodies with different pollution loads under multi-source and multi-owner influent conditions. Compared with traditional mixed treatment methods, this technical solution has corresponding technical effects in protecting clean water resources, avoiding ineffective pollution, and improving the operating efficiency of the treatment system.

[0030] Example 3: This example combines Figs. 1 to 3This document describes a wastewater recycling system for bridge construction in an ecologically sensitive area. Fig. 1 As shown, its top-level goal is to study key technologies for green construction of large-span arch bridges in ecologically sensitive lake areas. After feasibility studies and the preparation of a work outline, it employs various methods, including data collection, engineering analogy, data compilation and statistics, theoretical analysis, data calculation, and on-site monitoring, to simultaneously conduct research on three core topics: zero-pollution construction technology for Class II water sources, low-interference green construction technology for lake areas, and intelligent rapid construction technology for large-span irregular arch bridges. The final results include construction methods, patents, and research projects. After evaluation and award applications, it enters the promotion and application stage. Fig. 2 As shown, the horizontal axis represents the settling time in hours, and the vertical axis represents the percentage of remaining turbidity (%). The curve showing the most rapid settling indicates that pollutant particles settle easily. The curve is of medium to low quality, while The curve for the most difficult sedimentation is the flattest, indicating that the wastewater contains a large number of fine particles that are difficult to separate quickly by natural gravity, requiring a longer sedimentation time or stronger treatment measures.

[0031] like Fig. 3 As shown, the system first collects incoming water in the primary collection and buffer unit, and performs a pre-emptive anomaly detection. If... If an abnormality is detected in independent properties such as oil film, the wastewater is routed to a special wastewater isolation unit; otherwise, samples are taken to the diagnostic unit, where they are diverted and titrated using a standard clean water supply device and monitored by a turbidity sensor. After generating a dilution response curve, the controller calculates the pollution load index. Settlement difficulty level The controller is based on Values ​​perform differentiated routing decisions when At that time, the wastewater enters the high-quality recycled water tank. At that time, the wastewater enters the standard settling tank. At that time, the wastewater enters the enhanced settling tank. Simultaneously, the system is equipped with a turbidity sensor to monitor sudden changes in influent turbidity, and periodically recalculates the turbidity of water samples within the treatment unit through process water sample re-testing. The processing time is dynamically adjusted.

[0032] Example 4: This example discloses a standardized engineering calibration procedure for determining key control parameters in the aforementioned system, to ensure that the system's control logic matches the actual hydrogeological and operational characteristics of the site when deployed to a specific construction site; before the start of a bridge pile foundation construction project, the on-site technical requirement is to use the pollution load index used for routing decisions in the system. threshold and And the settlement difficulty level used to optimize processing time. The classification criteria were set as specific values ​​that matched the local soil and water characteristics; to this end, the field engineers performed the following offline calibration procedure; the first step of the procedure was to collect representative water samples from the field and establish a benchmark. The engineers collected three sets of samples: 1. Background rainwater runoff samples from the site; 2. Low-turbidity wastewater samples generated by simulating tool washing and mixed with on-site soil; 3. High-concentration mud samples prepared by mixing on-site soil and water to simulate water production during drilling operations. Subsequently, the system diagnostic unit was used to perform multiple diversion titration-based rapid pollution load diagnoses on each set of samples and recorded their values. The distribution range of values; test data shows that the background rainwater sample The value remained stable below 2.5, indicating a low turbidity wastewater sample. The values ​​ranged from 7.0 to 15.0, while the high-concentration mud samples... All values ​​are greater than 60.0; based on this data, the decision threshold for distinguishing different water bodies is set as follows: As a boundary between clean water bodies and lightly polluted wastewater; These thresholds, calibrated using measured data, serve as the boundary between moderately and heavily polluted wastewater and are written into the controller's parameter configuration.

[0033] The second step in the procedure is to establish a settlement difficulty level. The correlation between the actual settling rate and the actual settling rate; the engineer took the aforementioned high-concentration mud sample and first calculated its value using the diagnostic unit. The value was 12.5; subsequently, the sample was placed in a 1000 mL transparent sedimentation column, thoroughly stirred, and allowed to stand. The turbidity of the supernatant at a depth of 10 cm below the surface was measured every 30 minutes using a turbidimeter. It was observed that the time required for the supernatant turbidity to decrease by 50% was approximately 4 hours. Based on this, [the following text is incomplete and requires further context: "to determine the turbidity value."] Wastewater with a settling difficulty level of approximately 12.5 is classified as "difficult". By repeating the test with samples from different soil sources or particle sizes, a classification model is ultimately established in the controller. A specific implementation of this model is as follows: when... When the level is "easy", the corresponding standard processing time is [time]. At that time, the level is medium, corresponding to 1.5 times the standard processing time; when At this stage, the difficulty level corresponds to three times the standard processing time. The third step of the procedure is to determine the quiescent threshold used to trigger the homogenization operation. To address the potential pre-sedimentation within the pool caused by prolonged low-flux water inflow, a quiescent time needs to be set. Engineers placed high-concentration mud samples in a tank simulating a primary collection and buffer unit, and periodically extracted and tested the turbidity of the upper water sample while it was in a static state. Experimental data showed that after 30 minutes of static settling, the turbidity of the upper water sample decreased by more than 20% compared to the initial homogenized state, at which point sampling would introduce bias. Therefore, to address this sampling bias... Intervention is carried out before a problem occurs by setting a quiescent threshold of 30 minutes. When the controller detects that the interval between two diagnostic cycles exceeds this threshold, it automatically initiates homogenization before the next diagnosis. By executing the calibration procedure that includes initial state definition and process judgment quantification, the key parameters in the system controller are set to values ​​and logical rules corresponding to the field conditions. Finally, these calibrated parameter sets are solidified into the controller's non-volatile memory, enabling the entire wastewater recycling system to complete an adaptive configuration for specific operating conditions before being put into actual operation.

[0034] Example 5: This example discloses a method for constructing the settlement difficulty level in the aforementioned system. Standardized engineering procedures for temperature compensation reference models; when the system is deployed in construction sites with significant diurnal and seasonal temperature differences, changes in water temperature affect water viscosity, which in turn affects the morphological characteristics of the dilution response curve, leading to variations in the calculated values ​​at different temperatures. A deviation exists between the measured value and the actual sedimentation characteristics of the pollutants. To eliminate the impact of this environmental factor on the treatment time setting, the system needs to perform the following offline calibration procedure to establish a temperature-compensated reference model before being put into operation. The initial state of this procedure is to prepare representative soil samples taken from the construction site, and a temperature-controlled water bath jacket with a temperature control accuracy better than ±0.5. A testing diagnostic chamber of the same specifications as the system diagnostic unit; the procedure is as follows: First, prepare a batch of standard high-concentration mud using field soil samples and clean water as a reference pollutant sample; after thoroughly mixing the reference sample, take one portion and inject it into the testing diagnostic chamber; set the temperature of the temperature-controlled water bath to the first calibration point 5. After the water sample temperature in the diagnostic room stabilizes, a complete drainage titration rapid pollution load diagnostic procedure is performed. The dilution response curve corresponding to this temperature is recorded, and a morphological characteristic parameter, namely the sedimentation difficulty level, is calculated based on this curve. Subsequently, the diagnostic room was emptied, a new baseline contaminant sample was injected, and the temperature of the temperature-controlled water bath was set as the next calibration point. This process was repeated at multiple preset temperature points, including 15°C. 25 and 35 Repeat this process to eventually obtain a set of results for the same standard pollutant at different temperatures. Calibration value.

[0035] Based on the data obtained from the above experiments, a reference model storing the correspondence between different temperatures and morphological characteristics is constructed in the controller. This model is configured as a lookup table or a compensation function in a specific implementation. During the actual operation of the system, the controller executes [the following steps] on each batch of wastewater to be tested. During the analysis, a temperature sensor is used to acquire the real-time water temperature of the wastewater. Based on this temperature reading, the controller obtains a calibration benchmark from the aforementioned reference model and compensates for the morphological characteristics analyzed to obtain a temperature-calibrated sedimentation difficulty level. This procedure, through the system's assessment of pollutant settling characteristics, incorporates compensation for water temperature, a variable environmental factor, thus improving its effectiveness under different environmental temperatures. Consistency between the value and the actual settlement characteristics.

[0036] Example 6: This example discloses a standardized engineering procedure for quantifying and calibrating key thresholds of the gating and guarding logic in the system. To ensure the operational reliability of the function for determining abnormal physical or chemical properties independent of turbidity, and the function for monitoring sudden changes in the concentration of pollutants in influent wastewater, and to avoid missed detections or false alarms caused by improper threshold settings, the system performs the following pre-test and calibration process after initial deployment or maintenance. This procedure first calibrates the abnormal detection threshold of the oil film sensor. After the diagnostic unit completes self-cleaning and is filled with standard clean water, the controller records the reference reading of the oil film sensor at this time. This reading reflects the light reflection characteristics of a clean water surface. Subsequently, a small amount of standard oil, such as 0.1 ml of diesel oil, is added to the diagnostic unit. After the oil film has fully spread on the water surface, the oil film sensor reading is recorded again. The controller calculates an anomaly detection threshold based on the difference between these two readings. The calculation method is as follows During subsequent routine operation, the oil film monitoring signal acquired by the controller before injecting standard clean water... Meet the conditions When an oil film abnormality occurs, a cover command is generated.

[0037] The procedure then calibrates the abrupt change threshold of the guard turbidity sensor within the primary collection and buffer unit. During the initial phase of system operation, such as the first 24 hours, the controller continuously acquires the turbidity background values ​​measured by the guard turbidity sensor at a high time resolution, such as once per second, and stores them as a time series. The controller then calculates the standard deviation of this time series. This value objectively characterizes the normal fluctuation level of turbidity under specific operating conditions; subsequently, the controller sets a sudden change threshold based on this statistical value. The calculation method is as follows In subsequent wastewater collection, the controller calculates the rate of change of turbidity value in real time. When the rate of change exceeds the set mutation threshold At that time, the controller determines that a pollution shock event has occurred and initiates the monitoring of the pollution load index of the collected wastewater in advance. The system calculates and adapts key logical judgment conditions through this procedure, ensuring that the judgment criteria match the actual environmental conditions on site.

[0038] To further highlight the fundamental differences between this invention and the prior art and the technical advantages it brings from the perspective of reverse verification, the following comparative examples are established.

[0039] Comparative Example 1: This comparative example adopts the traditional single sedimentation tank mixed treatment method in the background technology. Its system contains only one large-volume sedimentation tank, and the total volume of the tank is the same as the total volume of the system in the experimental group in Example 2. This comparative example replicates the test process of Example 2 under exactly the same influent conditions for direct comparison of technical effects. The test process strictly follows the injection sequence described in Example 2: from 0 to 20 minutes, 100 liters of Class A high-turbidity wastewater (initial turbidity of about 3000 NTU) is injected into the large-volume sedimentation tank; from 21 to 30 minutes, 50 liters of Class B low-turbidity wastewater (initial turbidity of about 200 NTU) is injected; from 31 to 60 minutes, 200 liters of Class C clean water (initial turbidity of less than 5 NTU) is injected. After all water samples were injected, the total volume of the mixed liquid in the tank was 350 liters. After the experiment, the mixed water in the large-volume sedimentation tank was sampled and tested. The test results showed that the final turbidity of the mixed water in the tank was 864.5 NTU. This result objectively confirmed that the 200 liters of Class C clean water injected had been severely polluted by Class A and Class B high-turbidity wastewater, and had completely lost its direct utilization value as high-quality reclaimed water.

[0040] The experimental results show that, due to the lack of the Pollution Load Index (PLI) calculation unit for online diagnosis and quantification of dynamic influent, as well as the associated differentiated routing decision and execution mechanism, the traditional single sedimentation tank treatment method inevitably leads to ineffective mixing and cross-contamination of different water bodies when faced with multi-source heterogeneous wastewater. This method not only wastes clean water resources, but also forces the purification cycle of the entire treatment system to be extended based on the most polluted wastewater, reducing the turnover efficiency of the treatment facilities and the utilization rate of the site.

[0041] It will be apparent to those skilled in the art that the present invention is not limited to the details of the exemplary embodiments described above, and that the present invention can be implemented in other specific forms without departing from the spirit or essential characteristics of the present invention.

[0042] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention and are not intended to limit it. Although the present invention has been described in detail with reference to preferred embodiments, those skilled in the art should understand that modifications or equivalent substitutions can be made to the technical solutions of the present invention without departing from the spirit and scope of the technical solutions of the present invention.

Claims

1. A wastewater recycling system for bridge construction in ecologically sensitive areas, characterized in that, The system includes: Diagnostic unit, standard clean water supply device, turbidity sensor, controller and at least two processing units; The controller is configured to: after a batch of wastewater to be tested is contained in the diagnostic unit, drive the standard clean water supply device to continuously inject standard clean water into the diagnostic unit, and collect turbidity data using a turbidity sensor; when the collected turbidity first meets a preset turbidity threshold condition, an endpoint event is determined to have occurred and the injection is stopped; based on the running time or injection volume of the standard clean water supply device within the time window corresponding to a single endpoint event, calculate the pollution load index (PLI) of the batch of wastewater to be tested; and establish a preset mapping relationship between the PLI value range and the treatment unit. The batch of wastewater to be tested, carrying the Pollution Load Index (PLI), is routed to one of at least two treatment units; and the controller is also configured to execute a gating and rechecking logic, which includes: performing an anomaly determination of the physical or chemical properties of the wastewater to be tested, independent of turbidity, to stop the routing of this batch before injecting standard clean water; and periodically calling the diagnostic unit to recalculate the PLI of the process water sample taken from the treatment unit during the process of the wastewater to be tested entering the treatment unit for treatment, and adjusting the treatment time in the treatment unit according to the recalculation result.

2. The bridge construction wastewater recycling system in an ecologically sensitive area according to claim 1, characterized in that, The controller is also configured to: record a series of turbidity monitoring values ​​and corresponding timestamps to generate a dilution response curve during the continuous injection of standard clean water supply; analyze the morphological characteristics of the dilution response curve to determine the sedimentation difficulty level (SDI) of the pollutants in the wastewater to be tested; and, after the batch of wastewater to be tested is routed to the treatment unit, the controller adaptively sets the treatment time in the treatment unit according to the sedimentation difficulty level (SDI). The Settlement Difficulty Level (SDI) is determined by the following formula: ,in, This refers to the change in turbidity value within a preset characteristic range of the dilution response curve. For corresponding The change in the operating time or injection volume of a standard clean water supply device.

3. The bridge construction wastewater recycling system in an ecologically sensitive area according to claim 1, characterized in that, The determination of physical or chemical property anomalies independent of turbidity includes: installing pH and oil film sensors in the diagnostic unit; acquiring pH and oil film monitoring signals before injecting standard clean water; and generating a coverage command when the pH exceeds the preset safety range or the oil film monitoring signal is abnormal, routing the batch of wastewater to be tested to a dedicated special wastewater isolation unit.

4. A bridge construction wastewater recycling system in an ecologically sensitive area according to claim 1, characterized in that, The preset mapping relationship distinguishes at least two different PLI threshold intervals; when the PLI is in the first threshold interval, the controller routes the batch of wastewater to be tested to a high-quality reclaimed water tank; when the PLI is in the second threshold interval, the controller routes the batch of wastewater to be tested to an enhanced sedimentation tank.

5. A bridge construction wastewater recycling system in an ecologically sensitive area according to claim 1, characterized in that, The controller determines the Pollution Load Index (PLI) based on the operating time of the standard clean water supply device by recording the cumulative operating time of the standard clean water supply device from the start of standard clean water injection to the occurrence of the endpoint event as a quantitative value characterizing the PLI.

6. A bridge construction wastewater recycling system in an ecologically sensitive area according to claim 1, characterized in that, The system also includes a primary collection and buffer unit and a guard turbidity sensor installed in the primary collection and buffer unit; and the controller is also configured to monitor the rate of change of turbidity measured by the guard turbidity sensor in real time during the collection of the wastewater to be tested. When the rate of change exceeds a mutation threshold calculated based on historical turbidity background fluctuations, the collection of the current batch is interrupted, and the calculation of the pollution load index (PLI) of the collected wastewater to be tested is initiated ahead of schedule.

7. A bridge construction wastewater recycling system in an ecologically sensitive area according to claim 1, characterized in that, The system also includes a primary collection and buffer unit; the controller is also configured to monitor the silence duration since the last pollution load index (PLI) calculation was completed; and when the silence duration reaches a preset silence threshold, control the circulation device to perform homogenization operation on the wastewater to be tested in the primary collection and buffer unit before the next start-up injection of standard clean water.

8. A bridge construction wastewater recycling system in an ecologically sensitive area according to claim 2, characterized in that, The system also includes a temperature sensor for monitoring the temperature of the wastewater to be tested; and the controller is configured to: obtain a calibration benchmark from a reference model that stores the correspondence between different temperatures and morphological characteristics, calibrated by performing dilution response curve analysis on standard pollutant samples at different temperatures, based on the monitoring value of the temperature sensor; and compensate for the analysis results of morphological characteristics based on the calibration benchmark.

9. A bridge construction wastewater recycling system in an ecologically sensitive area according to claim 1, characterized in that, The controller adjusts the processing time based on the recalculation results as follows: if the recalculated process pollution load index is lower than a preset effluent standard threshold during the preset processing time, the processing flow in the treatment unit will be terminated in advance; if the recalculated process pollution load index is still higher than the preset effluent standard threshold when the preset processing time ends, the processing time in the treatment unit will be automatically extended.

10. A bridge construction wastewater recycling system in an ecologically sensitive area according to claim 1, characterized in that, The controller is also configured to first drive the standard clean water supply device to fill the diagnostic unit with standard clean water before each process of calculating the pollution load index (PLI) begins, and perform zero-point calibration based on the reading of the turbidity sensor at this time; if the reading deviates from the zero point to a preset calibration threshold, a high-pressure backwashing procedure is triggered to clean the diagnostic unit and the turbidity sensor.

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