Environment-friendly wastewater sampling method for wastewater detection

Abstract

The invention discloses an environment-friendly wastewater sampling method for wastewater detection, and relates to the technical field of wastewater sampling for detection. Rainfall data, equipment operation states, production process adjustment conditions and time parameters are collected and stored in real time by using a data collection module, and an event judgment module is used for judging whether the time parameters are abnormal or not. A trigger event and a normal event are judged, the event trigger intensity FQ, the sampling frequency adjustment coefficient QP and the next sampling time Tnext are sequentially calculated through a sampling calculation module, the next sampling time is adjusted to be the next sampling time Tnext in real time through a sampling execution module, the sampling frequency is automatically adjusted according to the sampling frequency adjustment coefficient QP in the sampling process, and the sampling time Tnext is adjusted according to the sampling frequency adjustment coefficient QP in the sampling process. According to the method, the effects of adapting to event-driven water quality change, flexibility of sampling frequency and comprehensive consideration of multi-factor influence problems are achieved, dynamic adjustment and optimization of wastewater sampling are achieved, and the efficiency and accuracy of wastewater detection are improved.

Description

Technical Field

[0001] The present invention relates to the technical field of waste water sampling for detection, and specifically to an environment-friendly waste water sampling method for waste water detection. Background Technique

[0002] With the enhancement of environmental protection awareness, the monitoring and management of waste water discharge have become crucial. Accurately and timely obtaining waste water samples for detection is a key link in evaluating the quality of waste water and ensuring the up-to-standard discharge of waste water.

[0003] However, existing waste water sampling methods often sample at fixed time intervals and do not consider the impact of rainfall, equipment failures, and production process adjustment events on the quality of waste water. Specifically, during heavy rain, a large amount of rainwater will mix into the waste water, resulting in a significant change in the quality of the waste water. However, the fixed-time-interval sampling method cannot capture this change in time, so that the detection results cannot truly reflect the actual quality of the waste water. In addition, the fixed sampling frequency of the fixed-time-interval sampling cannot be adjusted according to the severity of different events and time factors. For some minor events, frequent sampling is not required, but sampling will still be carried out according to the fixed frequency, resulting in waste of resources. For some serious events, an increased sampling frequency is required to timely grasp the change in water quality, but the fixed frequency cannot meet this requirement. In addition, existing technologies often do not comprehensively consider the combined effects of rainfall, equipment failures, and production process adjustments, which makes the evaluation of the change in waste water quality incomplete and inaccurate, and a reasonable sampling plan cannot be formulated. Summary of the Invention

[0004] The purpose of the present invention is to provide an environment-friendly waste water sampling method for waste water detection, which solves the problems raised in the above background technique.

[0005] To achieve the above purpose, the present invention provides the following technical solutions, and the specific implementation steps are as follows: Step 1: Use the data collection module to collect and store rainfall data, equipment operation status, production process adjustment conditions, and time parameters in real time; Step 2: Based on the collection and storage of the data collection module, use the event judgment module to judge trigger events and normal events. The trigger events include rainfall events, equipment failure events, and production process adjustment events; Step 3: Based on the judgment of the trigger events, use the sampling calculation module to calculate the event trigger intensity FQ, the sampling frequency adjustment coefficient QP, and the next sampling time T in sequence next ; Step 4: Use the sampling execution module to adjust the time of the next sampling to the next sampling time T in real time next, and when sampling, adjust the coefficient QP according to the sampling frequency to automatically adjust the sampling frequency; Step 5: When the event judgment module determines that the triggered event ends and returns to the normal event, use the sampling execution module to set the time of the next sampling back to the initial sampling reference time in real time; Among them, the sampling calculation module includes a unit for measuring the severity of the trigger, a unit for dynamically adjusting the sampling frequency, and a unit for determining the sampling time.

[0006] Optionally, the calculation formula of the unit for measuring the severity of the trigger is as follows: ; Where: FQ is the event trigger intensity; JY is the current cumulative rainfall, in millimeters, and the greater the current cumulative rainfall JY, the stronger the dilution and scouring effect on the wastewater, thus affecting the wastewater quality; JQ is the rainfall weight, and the value range of JQ is between 0 and 1, and it is set according to the actual situation, and is used to adjust the influence degree of the rainfall event on the event trigger intensity FQ; SG is the equipment failure influence coefficient, and the value range of SG is between 0 and 1, and is used to reflect the potential influence of the equipment failure event on the wastewater quality; GF is the production process adjustment range, and GF is calculated and determined according to the change ratio of the key parameters before and after the production process adjustment. The specific calculation formula is ; TH is the adjusted key parameter value, TQ is the key parameter value before adjustment, and the key parameters include the dosage of wastewater treatment chemicals; GQ is the process weight, and the value range of GQ is between 0 and 1, and is used to adjust the influence degree of the equipment failure event and the production process adjustment event on the event trigger intensity FQ.

[0007] Optionally, the values of the rainfall weight JQ, the equipment failure influence coefficient SG, and the adjusted key parameter value TQ are all between 0 and 1, and their specific value bases are as follows: The rainfall weight JQ: If there is an area with multiple water bodies around and multiple rainwater runoffs flow into the wastewater discharge system, the rainfall weight JQ is close to 1; If there is an area with few water bodies around and few rainwater runoffs flow into the wastewater discharge system, the rainfall weight JQ is close to 0; The equipment failure influence coefficient SG: If it is a major equipment failure and the failure is relatively serious, the equipment failure influence coefficient SG is close to 1; If it is a minor failure of the auxiliary equipment, the equipment failure impact factor SG takes a value close to 0; The adjusted key parameter value TQ: If the production process is complex and fluctuating, the adjusted key parameter value TQ takes a value close to 1; If the production process is simple and stable, the adjusted key parameter value TQ takes a value close to 0.

[0008] Optionally, the calculation formula of the dynamic adjustment sampling frequency unit is as follows: ; Where: QP is the sampling frequency adjustment coefficient, and QP is used to adjust the sampling frequency of subsequent sampling; QP greater than 1 indicates that the sampling frequency needs to be increased; QP less than 1 indicates that the sampling frequency needs to be decreased; T0 is the time interval, and T0 reflects the time interval from the last sampling to the current event trigger; T avg is the average sampling time interval, and T avg reflects the average degree of the time between two adjacent samplings that have occurred; ; N is the historical interval quantity, and T0 i is the i-th time interval; A is the correction factor, and the value range of A is between 1 and 2; The time interval T0 and the average sampling time interval T avg When the wastewater discharge system is used for the first time, both are set to the initial sampling reference time, specifically set to 12: T avg = T0 = 12; The initial sampling reference time is continuously set to 12 when no triggering events such as rainfall events, equipment failure events, and production process adjustment events occur. After the triggering event adjusts the sampling time and returns to normal events, the initial sampling reference time is reset to 12.

[0009] Optionally, the specific value of the correction factor A is based on the following: When the proportion of triggering events to normal events is greater than 1, the correction factor A takes a value close to 1.8; When the proportion of triggering events to normal events is less than 1, the correction factor A takes a value close to 1.2; When the proportion of triggering events to normal events is equal to 1, the correction factor A takes a value close to 1.5.

[0010] Optionally, the calculation formula of the determining sampling time unit is as follows: ; Wherein: T next is the next sampling time; DT is the current time; The next sampling time T next is a parameter for making a next and one-time adjustment to the initial sampling reference time in real time after any one of the triggering events of a rainfall event, a device failure event, and a production process adjustment event occurs.

[0011] Optionally, the devices used by the data collection module include a rain gauge, a device sensor, a fault diagnosis system, a production process parameter monitoring system, and a storage device; The devices used by the event judgment module include an automatic judgment system; The devices used by the sampling calculation module include data processing devices; The devices used by the sampling execution module include an automatic sampler.

[0012] Compared with the prior art, the beneficial effects of the present invention are as follows: First, through the severity measurement trigger unit, the present invention comprehensively considers the influence of various factors on the wastewater quality under the influence of rainfall events, equipment failure events, and production process adjustment events. Among them, by quantifying different factors, weighted summation, and square root algorithms, the result is within a reasonable range, and the severity of the impact of the event on the wastewater quality can be accurately evaluated. In this way, the sampling plan can be adjusted pertinently according to the actual situation of the event, avoiding the blindness of the fixed sampling method and improving the pertinence of sampling.

[0013] Second, the dynamic sampling frequency adjustment unit of the present invention comprehensively considers the event trigger intensity FQ and time factors, and can dynamically adjust the sampling frequency according to the severity of the event and the time interval T0 from the previous sampling. When the event has a large impact and the time interval T0 is long, the sampling frequency adjustment coefficient QP is greater than 1, so the sampling frequency needs to be increased to ensure timely capture of water quality changes. When the event has a small impact and the time interval T0 is short, the sampling frequency adjustment coefficient QP is less than 1, and at this time the sampling frequency needs to be reduced, thereby avoiding unnecessary sampling and also improving the resource utilization efficiency.

[0014] III. The determined sampling time unit of the present invention adjusts the specific time point for the next wastewater sampling in real time according to the calculated sampling frequency adjustment coefficient QP. This method can adjust the sampling time in a timely manner after the triggering event occurs, ensuring sampling during the critical period when the wastewater quality changes, improving the timeliness and accuracy of wastewater detection, better meeting the requirements of environmental protection monitoring. After the adjustment of the triggering event ends and returns to the normal time, the time for the next sampling is set back to the initial sampling reference time in real time to ensure the smooth progress of sampling under normal events. BRIEF DESCRIPTION OF THE DRAWINGS

[0015] Figure 1 is the flowchart of the wastewater sampling method for the environmental protection type wastewater detection; Figure 2 is the overall structural schematic diagram of the wastewater sampling method for the environmental protection type wastewater detection; Figure 3 is the structural schematic diagram of the sampling calculation module of the present invention. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0016] Next, the technical solutions in the embodiments of the present invention will be clearly and completely described in conjunction with the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only a part of the embodiments of the present invention, rather than all the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative efforts shall fall within the protection scope of the present invention.

[0017] Regarding the wastewater sampling method for the environmental protection type wastewater detection, different from the existing wastewater sampling methods for environmental protection type wastewater detection, an existing wastewater sampling method for environmental protection type wastewater detection has problems such as being unable to adapt to event-driven water quality changes, lack of flexibility in sampling frequency, and inability to comprehensively consider the influence of multiple factors. However, this algorithm unit realizes the dynamic adjustment and optimization of wastewater sampling, thereby improving the efficiency and accuracy of wastewater detection.

[0018] Embodiment, please refer to Figures 1 to 3 , this embodiment provides a wastewater sampling method for environmental protection type wastewater detection, and the specific implementation steps are as follows: Step 1: Use the data collection module to collect and store rainfall data, equipment operation status, production process adjustment conditions, and time parameters in real time; Step 2: Based on the collection and storage of the data collection module, and use the event judgment module to determine the triggering event and the normal event. The triggering events include rainfall events, equipment failure events, and production process adjustment events; Step 3: Based on the determination of the triggering event, and use the sampling calculation module to calculate the event triggering intensity FQ, the sampling frequency adjustment coefficient QP, and the next sampling time T in sequencenext ; Step 4: Using the sampling execution module, adjust the time of the next sampling to the next sampling time T in real time next , and during sampling, automatically adjust the sampling frequency according to the sampling frequency adjustment coefficient QP; Step 5: When the event judgment module determines that the trigger event ends and returns to the normal event, use the sampling execution module to set the time of the next sampling back to the initial sampling reference time in real time; Among them, the sampling calculation module includes a unit for measuring the trigger severity, a unit for dynamically adjusting the sampling frequency, and a unit for determining the sampling time; The devices used by the data collection module include a rain gauge, device sensors, a fault diagnosis system, a production process parameter monitoring system, and a storage device; The devices used by the event judgment module include an automated judgment system; The devices used by the sampling calculation module include data processing devices; The devices used by the sampling execution module include an automatic sampler.

[0019] In this embodiment, through the cooperation of a series of devices including the unit for measuring the trigger severity, the unit for dynamically adjusting the sampling frequency, the unit for determining the sampling time, the data collection module, the event judgment module, the sampling calculation module, the sampling execution module, as well as the rain gauge, sensors, and automatic sampler, the system realizes the scientific optimization of wastewater sampling. The unit for measuring the trigger severity comprehensively evaluates the event impact and provides a basis for subsequent calculations. The unit for dynamically adjusting the sampling frequency dynamically adjusts the sampling frequency to avoid resource waste. The unit for determining the sampling time accurately determines the sampling time to ensure the timeliness of detection. The three units cycle and feedback, enabling the entire sampling method to be flexibly adjusted according to the actual situation, significantly improving the accuracy and efficiency of wastewater detection, and better meeting the environmental protection monitoring requirements.

[0020] Please refer to Figure 1 and Figure 3 , the calculation formula of the unit for measuring the trigger severity is as follows: ; Where: FQ is the event trigger intensity; JY is the current cumulative rainfall, in millimeters, and the greater the current cumulative rainfall JY, the stronger the dilution and scouring effects on the wastewater, thereby affecting the wastewater quality; JQ is the rainfall weight, and the value range of JQ is between 0 and 1, and it is set according to the actual situation, and is used to adjust the influence degree of the rainfall event on the event trigger intensity FQ; SG is the equipment failure impact coefficient, and the value range of SG is between 0 and 1, which is used to reflect the potential impact of equipment failure events on the wastewater quality; GF is the production process adjustment range. GF is calculated and determined according to the change ratio of key parameters before and after the production process adjustment. The specific calculation formula is ; TH is the value of the key parameter after adjustment, and TQ is the value of the key parameter before adjustment. The key parameters include the dosage of wastewater treatment chemicals; GQ is the process weight, and the value range of GQ is between 0 and 1, which is used to adjust the influence degree of equipment failure events and production process adjustment events on the event trigger intensity FQ; The values of the rainfall weight JQ, the equipment failure impact coefficient SG, and the value of the key parameter TH after adjustment are all between 0 and 1, and their specific values are as follows: The rainfall weight JQ: If there is an area with multiple water bodies around and a large amount of rain runoff flows into the wastewater discharge system, the value of the rainfall weight JQ is close to 1; If there is an area with few water bodies around and a small amount of rain runoff flows into the wastewater discharge system, the value of the rainfall weight JQ is close to 0; The equipment failure impact coefficient SG: If it is a major equipment failure and the failure is relatively serious, the value of the equipment failure impact coefficient SG is close to 1; If it is an auxiliary equipment failure and the failure is relatively minor, the value of the equipment failure impact coefficient SG is close to 0; The value of the key parameter TH after adjustment: If the production process is complex and fluctuating, the value of the key parameter TH after adjustment is close to 1; If the production process is simple and stable, the value of the key parameter TH after adjustment is close to 0.

[0021] In this embodiment: First, in the unit for measuring the trigger severity The calculation part is used to measure the degree of influence of the rainfall event on the wastewater quality, and at the same time consider the rainfall weight JQ to reflect its relative importance in the comprehensive influence. Among them, the square of the current cumulative rainfall JY can amplify the influence effect of rainfall on the wastewater quality, because the greater the rainfall, the non-linear growth of its dilution and scouring effects on the wastewater. The rainfall weight JQ adjusts the proportion of the rainfall factor in the overall event trigger intensity according to the actual situation. As part of the calculation of the event trigger intensity FQ, it reflects the quantitative value of the influence of the rainfall event on the wastewater quality and provides information on rainfall for the comprehensive assessment of the event influence; The calculation part is used to evaluate the degree of the combined impact of two factors, namely, equipment failure events and production process adjustment events, on the wastewater quality, and reflects its relative importance in the comprehensive impact through the process weight GQ. The equipment failure impact coefficient SG reflects the severity of the equipment failure, and the production process adjustment range GF reflects the magnitude of the process adjustment. The product of the two gives the preliminary impact value of the combined action of these two factors, which is then multiplied by the process weight GQ to determine its actual contribution to the overall event trigger intensity FQ. The calculation part is added to the calculation result of the calculation part, jointly constituting the calculation basis of the event trigger intensity FQ, reflecting the comprehensive impact of equipment failure and production process adjustment on the wastewater quality; In addition, the calculation part is added to the sum of the calculation results of the calculation part and then square-rooted to keep the value of the event trigger intensity FQ within a reasonable range, avoiding the result being too large due to the square operation and restoring the squared value to a more realistic magnitude, so that the event trigger intensity FQ can more accurately reflect the comprehensive impact degree of the event on the wastewater quality; By measuring the trigger severity unit, multiple factors affecting the wastewater quality, such as rainfall events, equipment failure events, and production process adjustment events, are integrated. In the actual wastewater discharge scenario, the wastewater quality is not affected by a single factor but the result of the combined action of multiple factors. Specifically, rainfall dilutes the wastewater, equipment failure leads to unqualified wastewater treatment, and production process adjustment changes the composition of the wastewater. Through the calculation of the trigger severity unit, the severity of the impact of these factors on the wastewater quality under their combined action can be comprehensively and accurately evaluated.

[0022] Please refer to Figure 1 and Figure 3 , the calculation formula of the dynamic sampling frequency unit is as follows: ; Where: QP is the sampling frequency adjustment coefficient, and QP is used to adjust the sampling frequency of subsequent samplings; QP greater than 1 indicates that the sampling frequency needs to be increased; QP less than 1 indicates that the sampling frequency needs to be decreased; T0 is the time interval, and T0 reflects the time interval from the previous sampling to the current event trigger; T avg is the average sampling time interval, and T avg reflects the average degree in time of two adjacent samplings that have occurred; A is the correction factor, and the value range of A is between 1 and 2; Time interval T0 and average sampling time interval T avg When the wastewater discharge system is used for the first time, both are set as the initial sampling reference time, specifically set to 12:T avg =T0 = 12; When there is no triggering event among rainfall events, equipment failure events, and production process adjustment events, the initial sampling reference time is continuously set to 12. After the triggering event adjusts the sampling time and returns to normal events, the initial sampling reference time is reset to 12; The specific value of the correction factor A is based on the following: When the proportion of triggering events to normal events is greater than 1, the correction factor A takes a value close to 1.8; When the proportion of triggering events to normal events is less than 1, the correction factor A takes a value close to 1.2; When the proportion of triggering events to normal events is equal to 1, the correction factor A takes a value close to 1.5.

[0023] In the dynamic adjustment sampling frequency unit of this embodiment, first The calculation part is used to comprehensively consider the impact of the severity of the event and time factors on the sampling frequency. Among them, the event trigger intensity FQ reflects the magnitude of the impact of the event on the wastewater quality. The longer the time interval T0 from the previous sampling to the occurrence of the current event, the greater the possibility of changes in the wastewater quality. The multiplication of the two can more comprehensively evaluate the potential risk of changes in the wastewater quality under the current event, serving as the numerator part of the dynamic adjustment sampling frequency unit, providing comprehensive information on the severity of the event and time factors for calculating the sampling frequency adjustment coefficient; The calculation part then determines a reference value for adjusting the sampling frequency. The correction factor A is used to balance the adjustment of the sampling frequency in different situations. The average sampling time interval T avg is the time interval between two samplings under normal circumstances. The correction factor A adjusts this reference value according to the actual situation to avoid the sampling frequency adjustment coefficient QP always being greater than 1 and less than 1, making the result more reasonable. As the denominator part of the dynamic adjustment sampling frequency unit, it is divided by the calculation part to obtain the sampling frequency adjustment coefficient QP, which is used to adjust the subsequent sampling frequency; The dynamic sampling frequency adjustment unit comprehensively considers the event trigger intensity FQ and time factors, and can dynamically adjust the sampling frequency according to the severity of different events and the time interval T0 since the last sampling. When the event trigger intensity FQ is large and the time interval T0 since the last sampling is long, it indicates that the possibility of changes in the wastewater quality is relatively high, and the sampling frequency adjustment coefficient QP will increase, thereby increasing the sampling frequency to ensure timely capture of water quality changes. Conversely, when the influence of the event trigger intensity FQ is small and the time interval T0 is short, the sampling frequency adjustment coefficient QP will decrease, thereby reducing the sampling frequency to avoid unnecessary sampling and improving resource utilization efficiency; Among them, the introduction of the correction factor A makes the calculation of the sampling frequency adjustment coefficient QP more flexible and reasonable. It can be adjusted according to the actual situation, avoiding the situation where the sampling frequency adjustment coefficient QP is always greater than 1 or less than 1, enabling the adjustment of the sampling frequency to better adapt to various different event scenarios and ensuring the scientificity and effectiveness of the sampling plan.

[0024] Please refer to Figure 1 and Figure 3 to determine the calculation formula of the sampling time unit as follows: ; Where: T next is the next sampling time; DT is the current time; The next sampling time T next is a one-time adjustment parameter for the next and only one time to the initial sampling reference time in real time after any one of the triggering events of rainfall event, equipment failure event, and production process adjustment event occurs.

[0025] In the sampling time determination unit of this embodiment, the calculation part determines the time interval by which the next sampling should be advanced or postponed relative to the normal situation under the influence of the current event according to the sampling frequency adjustment coefficient QP. Specifically, when the sampling frequency adjustment coefficient QP is greater than 1, it indicates that the sampling frequency needs to be increased, that is, the time interval between two samplings is shortened. When the sampling frequency adjustment coefficient QP is less than 1, it indicates that the sampling frequency can be reduced, and the time interval between two samplings is extended, and the adjusted time interval is obtained through division operation. The result calculated by the calculation part represents the time difference between the next sampling and the current time DT under the current event, providing key information for determining the next sampling time, and the overall calculation part is used to determine the specific time point for the next wastewater sampling. Based on the current time DT, adding the adjusted time interval, that is the result of the calculation part, the next sampling time can be obtained, and thus the final next sampling time Tnext , the purpose of dynamically adjusting the sampling plan according to events is achieved; By determining that the sampling time unit adjusts the coefficient QP according to the calculated sampling frequency, the specific time point for the next wastewater sampling can be accurately determined. Based on the current time DT and combined with the adjusted time interval, the purpose of dynamically adjusting the sampling plan according to events is achieved. This enables wastewater sampling to be carried out during critical periods when the wastewater quality may change, improving the timeliness and accuracy of wastewater detection and better meeting the requirements of environmental protection monitoring; In determining the sampling time unit, the average sampling time interval T avg is the time interval between two samplings under normal events, that is, the initial sampling reference time, and the initial sampling reference time is a relatively fixed value. The sampling frequency adjustment coefficient QP is dynamically calculated based on the event trigger intensity FQ and time factors. When the sampling frequency adjustment coefficient QP is small, it means that the current event has a small impact on the wastewater quality, or the time since the last sampling is short and the wastewater quality is relatively stable. At this time, the result of the calculation part will be larger, that is, the adjusted sampling time interval becomes longer. In other words, the next sampling time is farther from T next farther from the current time DT. When the sampling frequency adjustment coefficient QP is large, it indicates that the current event has a greater impact on the wastewater quality and the time interval since the last sampling is also relatively long, and the possibility of wastewater quality change is high. At this time, the result of the calculation part will be smaller, that is, the adjusted sampling time interval is shortened, and the next sampling time is closer to T next closer to the current time DT. This way of dynamically adjusting the next sampling time according to the sampling frequency adjustment coefficient QP enables the wastewater sampling plan to better adapt to different event situations. When the wastewater quality is relatively stable, reducing the sampling frequency can reduce the waste of human, material and time costs, while when the wastewater quality may change significantly, increasing the sampling frequency can timely capture the water quality change situation, thereby improving the accuracy and timeliness of wastewater detection and better ensuring that the wastewater discharge meets the environmental protection requirements; The next sampling time T calculated by determining the sampling time unit nextThe last sampling time will be updated, which is the initial sampling reference time under normal events. When the next event occurs, when calculating the event trigger intensity FQ in the unit for measuring the trigger severity, the time interval T0 from the last sampling to the occurrence of the current event will be calculated based on the new last sampling time. This cyclic influence mechanism enables the entire sampling method to continuously adjust dynamically according to the latest event situation and sampling history. Specifically, if sampling is advanced according to the formula after a certain event, then when the subsequent event occurs, the new time interval T0 will affect the calculation of the event trigger intensity FQ, and thus affect the sampling frequency adjustment coefficient QP and the next sampling time T next Through this cyclic feedback, the determination of next can continuously optimize the sampling decision, making the sampling plan more in line with the actual wastewater quality changes, and further improving the accuracy and efficiency of wastewater detection.

[0026] Although the embodiments of the present invention have been shown and described, for those of ordinary skill in the art, it is understood that various changes, modifications, substitutions, and variations can be made to these embodiments without departing from the principles and spirit of the present invention. The scope of the present invention is defined by the appended claims and their equivalents.

Claims

1. An environmentally friendly wastewater sampling method for wastewater detection, characterized in that: The specific implementation steps include the following: Step 1: Use the data collection module to collect and store rainfall data, equipment operating status, production process adjustment and time parameters in real time; Step 2: Based on the collection and storage of the data collection module, and using the event judgment module, the trigger event and the normal event are judged, and the trigger event includes a rainfall event, an equipment failure event, and a production process adjustment event; Step 3: Based on the determination of the trigger event, the event trigger intensity FQ, the sampling frequency adjustment coefficient QP and the next sampling time T are calculated in sequence by using the sampling calculation module. next ; Step 4: Use the sampling execution module to adjust the time of the next sampling to the next sampling time T in real time next , and when sampling, automatically adjust the sampling frequency according to the sampling frequency adjustment coefficient QP; Step 5: When the event determination module determines that the trigger event ends and returns to a normal event, the sampling execution module is used to set the time of the next sampling back to the initial sampling reference time in real time; The sampling calculation module includes a trigger severity measurement unit, a dynamic sampling frequency adjustment unit, and a sampling time determination unit.

2. The environmentally friendly wastewater sampling method for wastewater detection according to claim 1, characterized in that: The calculation formula for measuring the trigger severity unit is as follows: ； in: FQ is the event trigger strength; JY is the current accumulated rainfall in millimeters; JQ is the rainfall weight. The value range of JQ is between 0 and 1 and is set according to the actual situation. It is used to adjust the impact of rainfall events on the event trigger intensity FQ. SG is the equipment failure impact coefficient, and the value range of SG is between 0 and 1, which is used to reflect the potential impact of equipment failure events on wastewater quality; GF is the adjustment range of the production process. GF ​​is calculated based on the change ratio of key parameters before and after the production process adjustment. The specific calculation formula is: ; TH is the key parameter value after adjustment, TQ is the key parameter value before adjustment, and the key parameters include the dosage of wastewater treatment reagents; GQ is the process weight. The value range of GQ is between 0 and 1. It is used to adjust the impact of equipment failure events and production process adjustment events on the event trigger intensity FQ.

3. The environmentally friendly wastewater sampling method for wastewater detection according to claim 2, characterized in that: The rainfall weight JQ, the equipment failure influence coefficient SG and the adjusted key parameter value TQ are all between 0 and 1, and their specific values ​​are based on the following: The rainfall weight JQ: If there are areas with many water bodies around and much rainwater runoff flows into the wastewater drainage system, the rainfall weight JQ takes a value close to 1; If there are areas with few water bodies around and little rainwater runoff flows into the wastewater drainage system, the rainfall weight JQ takes a value close to 0; The equipment failure influence coefficient SG: If the failure is major and serious, the equipment failure impact coefficient SG is close to 1; If the fault is an auxiliary device and is relatively minor, the equipment fault impact coefficient SG takes a value close to 0; The adjusted key parameter value TQ: If the production process is complex and fluctuating, the adjusted key parameter value TQ will be close to 1; If the production process is simple and stable, the adjusted key parameter value TQ is close to 0.

4. The environmentally friendly wastewater sampling method for wastewater detection according to claim 3, characterized in that: The calculation formula of the dynamic adjustment sampling frequency unit is as follows: ； in: QP is the sampling frequency adjustment coefficient, and QP is used to adjust the sampling frequency of subsequent sampling; QP is greater than 1, indicating that the sampling frequency needs to be increased; QP is less than 1, indicating that the sampling frequency needs to be reduced; T0 is the time interval, which reflects the time interval from the last sampling to the current event triggering; T avg is the average sampling time interval, T avg Reflects the average degree of two consecutive samplings that have occurred in time; A is the correction factor, and the value range of A is between 1 and 2; Time interval T0 and average sampling time interval T avg When the wastewater discharge system is used for the first time, it is set as the initial sampling reference time, specifically 12:T avg =T0=12; The initial sampling reference time is continuously set to 12 when none of the triggering events including rainfall events, equipment failure events and production process adjustment events occurs. After the sampling time is adjusted by the triggering event and returns to the normal event, the initial sampling reference time is reset to 12.

5. The environmentally friendly wastewater sampling method for wastewater detection according to claim 4, characterized in that: The specific value of the correction factor A is based on the following: When the ratio of trigger events to normal events is greater than 1, the correction factor A takes a value close to 1.8; When the ratio of trigger events to normal events is less than 1, the correction factor A takes a value close to 1.2; When the ratio of trigger events to normal events is equal to 1, the correction factor A takes a value close to 1.

5.

6. The environmentally friendly wastewater sampling method for wastewater detection according to claim 4, characterized in that: The calculation formula for determining the sampling time unit is as follows: ； in: T next The next sampling time; DT is the current time; Next sampling time T next After any triggering event such as a rainfall event, an equipment failure event, or a production process adjustment event occurs, the initial sampling reference time is adjusted for the next one-time parameter in real time.

7. The environmentally friendly wastewater sampling method for wastewater detection according to claim 1, characterized in that: The equipment used in the data collection module includes a rain gauge, equipment sensors, a fault diagnosis system, a production process parameter monitoring system and a storage device; The equipment used by the event judgment module includes an automated judgment system; The equipment used by the sampling calculation module includes data processing equipment; The equipment used by the sampling execution module includes an automatic sampler.

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