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CN-122023094-A - Rapid traceability management method for water pollution control

CN122023094ACN 122023094 ACN122023094 ACN 122023094ACN-122023094-A

Abstract

The invention discloses a rapid traceability management method for preventing and controlling water pollution, which belongs to the technical field of water pollution prevention and control and specifically comprises the steps of establishing pollution sources and discharge port information files, forming an associated directory according to a geographic position adjacent relation, drawing a discharge behavior image according to a production operation rule and a discharge history, marking a path list according to a water flow direction, setting a dynamic trust initial value, intercepting a concentration rising period and a form trend after receiving an alarm notification, evaluating the concentration rising period and the form trend, performing time period and form anastomosis with the discharge behavior image to obtain comprehensive anastomosis score and sequencing, selecting three pollution sources with the highest comprehensive anastomosis score, calling the dynamic trust initial value and the comprehensive anastomosis score to obtain an investigation priority value, formulating an investigation task list, recording the alarm information into the discharge history after outputting the task list, and rechecking the dynamic trust initial value according to a sliding average value of the latest three comprehensive anastomosis scores. The invention realizes the rapid identification and investigation sequence decision of the pollution source.

Inventors

  • XIAO YUANYU
  • XIAO SHUIYUAN
  • CAO XIAOPENG

Assignees

  • 福建省盛民环保科技发展有限公司

Dates

Publication Date
20260512
Application Date
20260416

Claims (9)

  1. 1. The quick traceability management method for preventing and controlling water pollution is characterized by comprising the following steps of: S1, establishing a pollution source information file and a discharge port information file, wherein the pollution source information file comprises a pollution source geographic position and a production operation rule, and the discharge port information file comprises a discharge port geographic position and a water body flow direction; S2, associating pollution sources with discharge ports according to geographic position proximity relations to form an association catalog, and drawing a discharge behavior portrait of each pollution source according to production operation rules and discharge histories of the pollution sources; S3, attaching the emission behavior portraits into an associated directory, marking the transmission directions of each group of pollution sources and the emission ports according to the water flow direction to form a path list, and setting a dynamic trust initial value for each path; S4, receiving a pollution alarm notice, intercepting the period and the morphological trend of the rise of the concentration of the pollutants, and evaluating the period coincidence degree and the morphological coincidence degree of the pollutant and the discharge behavior images of all pollution sources to obtain comprehensive coincidence scores and sequencing the pollution sources according to the comprehensive coincidence scores; s5, selecting three pollution sources with highest comprehensive coincidence scores as a priority investigation object, calling a dynamic trust initial value of the pollution sources, adding the dynamic trust initial value with the comprehensive coincidence scores to obtain an investigation priority value, and formulating an investigation task list according to the investigation priority value; S6, outputting an investigation task list, dynamic trust initial values and comprehensive coincidence scores of all objects, recording the period and the morphological trend of the alarm into the emission history of the corresponding pollution source, and rechecking the dynamic trust initial values of the pollution source according to the sliding average value of the last three comprehensive coincidence scores.
  2. 2. The rapid traceability management method for water pollution control according to claim 1, wherein in S1, the specific process of creating the pollution source information file is: Each pollution source is called from an industry emission standard database according to the category of the industry, the typical production operation shift rule of the industry is taken as an initial shift template, the actual starting time and the ending time of each emission are recorded by continuously tracking the emission behaviors of 7 natural days, each emission is classified into four offset categories which are earlier than the start time of the shift, later than the start time of the shift but not more than half an hour and later than the start time of the shift, and the offset interval corresponding to the offset category with the largest occurrence number is taken as the emission period offset characteristic of the pollution source; Recording the time length of the pollutant concentration rising to the peak value from the beginning in each discharging process, dividing the time length into three time length categories according to the time length shorter than 5 minutes, between 5 minutes and 10 minutes and longer than 10 minutes, taking the median of the time length corresponding to the time length category with the largest occurrence number as the characteristic of the discharging rising time length of the pollution source, and storing the characteristic of the discharging time interval deviation and the characteristic of the discharging rising time length into a pollution source information file.
  3. 3. The rapid traceability management method for water pollution control according to claim 1, wherein in S2, the specific process of drawing the emission behavior portrait of the pollution source is as follows: Extracting the offset interval corresponding to the offset characteristic of the emission period from the pollution source information file as a typical emission period interval, extracting the concentration rising form curve of the last 10 times of emission from the emission history, carrying out equal-proportion stretching or compression on the concentration value of each curve to a uniform time length according to a time axis, then taking the concentration value median of each time point on the uniform time axis to form a reference curve, calculating the area difference between each original curve and the reference curve, replacing the original curve with the largest area difference as the reference curve, re-calculating a new reference curve, repeating the replacement process until the area difference between the reference curves calculated continuously twice is smaller than a preset convergence threshold, taking the finally obtained reference curve as the typical concentration rising curve, and combining the typical emission period interval and the typical concentration rising curve to form the emission behavior image of the pollution source.
  4. 4. The rapid traceability management method for water pollution control according to claim 1, wherein in S3, the specific process of setting the dynamic trust initial value for each path is as follows: The method comprises the steps of calling historical hydrologic monitoring data of a water area upstream of a discharge port, acquiring a water flow transmission time experience value interval in a path direction, extracting a starting time of a historical discharge event from a discharge history of a pollution source, extracting a receiving time of a historical alarm notification from an alarm history of the discharge port, combining each discharge starting time with the water flow transmission time experience value interval to obtain a time interval, judging whether the time interval is overlapped with the alarm receiving time, counting the proportion of the overlapping times to the total discharge times of the pollution source, comparing the proportion with the average proportion of all the pollution sources of the same discharge port in the path direction, setting a preliminary trust value to be high if the proportion is higher than the average proportion, and setting the preliminary trust value to be low if the proportion is not; And determining a stability grade according to the ratio of the extreme difference of the offset of the pollution source in the last 10 emission periods to the median, and carrying out combined mapping on the preliminary trust value grade and the stability grade to obtain a dynamic trust initial value, wherein the mapping rule is that the high trust high stability corresponds to the high initial value, the high trust low stability corresponds to the medium initial value, the low trust high stability corresponds to the low initial value and the low trust low stability corresponds to the lowest initial value.
  5. 5. The rapid traceability management method for water pollution control according to claim 1, wherein in S4, the specific process of intercepting the period and morphological trend of the rise of the concentration of the pollutant is as follows: Extracting a pollutant concentration monitoring data sequence from an alarm notice, calculating the concentration difference value of every two adjacent monitoring points in the sequence, taking a starting point with the difference value continuously being positive as a candidate rising starting point, traversing the monitoring points backwards from the candidate rising starting point, recording the continuous rising step number of the concentration value, selecting the candidate rising starting point with the largest continuous rising step number as a rising starting point, traversing backwards from the rising starting point, and taking the 1 st monitoring point in the 3 monitoring points as a rising end point when the concentration values of the 3 continuous monitoring points are lower than the concentration value of the previous monitoring point; The method comprises the steps of taking a period between a rising point and a rising end point as a truncated rising period, subtracting a concentration value of a rising start point from a concentration value of each monitoring point in the rising period to obtain a relative concentration sequence, calculating a ratio of adjacent points in the relative concentration sequence, taking a point with the ratio exceeding 2 for the first time as a starting point of a rapid rising section and taking a point with the ratio lower than 1.2 for the first time as a starting point of a slow section, dividing the rising period into an initial rising section, a rapid rising section and 3 sections of the slow section, and recording duration of each section and a ratio of a concentration rising end point value and a starting point value in each section.
  6. 6. The rapid traceability management method for water pollution control according to claim 5, wherein in S4, the specific process of performing morphological fitness evaluation is as follows: the method comprises the steps of respectively carrying out normalization processing on 3 segment duration of the alarm form trend and the duration of a segment corresponding to a typical concentration rising curve, calculating the relative deviation between the alarm segment duration and the typical segment duration, judging that the segment duration is identical if the relative deviation is within a preset deviation tolerance range; counting the number of segments which simultaneously meet the conditions of identical duration and identical amplitude in 3 segments, determining a form fit grade according to the number of segments, wherein the form fit grade is high fit when the number of segments is 3, moderate fit when the number of segments is 2, low fit when the number of segments is 1, non-fit when the number of segments is 0, and each form fit grade has a corresponding form fit part.
  7. 7. The quick traceability management method for preventing and treating water pollution according to claim 1, wherein in S5, the specific process of calling the dynamic trust initial value and adding the dynamic trust initial value to the comprehensive anastomosis score is as follows: Reading the dynamic trust initial values of the pollution source on the discharge port paths corresponding to the current alarms from the path list, simultaneously reading the dynamic trust initial values of the pollution source on all other related paths, and taking the numerical values of the middle positions as reference trust values after the initial values are arranged in the sequence from high to low; The method comprises the steps of comparing a dynamic trust value on a current path with a reference trust value, carrying out weighted combination on the current path initial value and a comprehensive fit score if the current path initial value is larger than the reference trust value, determining the weight by the ranking percentile of the current path initial value in all initial values, carrying out harmonic averaging on the current path initial value and the reference trust value and then carrying out combination on the current path initial value and the comprehensive fit score if the current path initial value is not larger than the reference trust value, and directly using the current path initial value and the comprehensive fit score to carry out combination if a pollution source is related to only the current path.
  8. 8. The rapid traceability management method for water pollution control according to claim 1, wherein in S6, the specific process of rechecking the initial value of the dynamic trust of the pollution source according to the sliding average value of the last three comprehensive anastomosis points is as follows: Extracting comprehensive fit points corresponding to the last three alarms from the emission history of the pollution source, extracting all the existing comprehensive fit points if the number of the comprehensive fit points is less than 3, and calculating a weighted average value of the comprehensive fit points after the comprehensive fit points are arranged according to a time sequence, wherein the corresponding weight of the more recent alarms is higher; Simultaneously extracting a time interval coincidence score and a form coincidence score corresponding to each alarm in the latest three alarms of the pollution source, respectively calculating a weighted average value of the time interval coincidence score and a weighted average value of the form coincidence score, taking the larger value of the time interval coincidence score and the form coincidence score as a coincidence trend value, carrying out weighted combination on the weighted average value of the comprehensive coincidence score and the coincidence trend value to obtain a new trust value, wherein the weight of the weighted average value of the comprehensive coincidence score is greater than the weight of the coincidence trend value, and updating the new trust value as a dynamic trust initial value of the pollution source on all relevant paths.
  9. 9. The rapid traceability management method for water pollution control according to claim 8, wherein in S6, the specific process of outputting the investigation task sheet is as follows: After arranging the checking task list from high to low according to the checking priority value, sequentially checking whether the dynamic trust level initial value of each priority checking object belongs to a high trust level, wherein the definition of the high trust level is that the dynamic trust level initial value of the object is larger than the middle of the dynamic trust level initial values of all objects in a path list where the object is located, if the object belongs to the high trust level, reserving the position of the object in the task list, if the object does not belong to the high trust level, moving the object to the tail of the task list, marking the path corresponding to the object as a path needing to be checked, sequentially repairing the moved object position by the objects belonging to the high trust level in the subsequent sorting, if all candidate objects do not belong to the high trust level, outputting the original sorting task list, adding full-quantity checking suggestion, and finally outputting the checking task list while attaching three data of the comprehensive coincidence score, the dynamic trust level initial value and the checking priority value of each object.

Description

Rapid traceability management method for water pollution control Technical Field The invention relates to the technical field of water pollution control, in particular to a quick traceability management method for water pollution control. Background The water pollution tracing is a core link in water environment management, and aims to quickly identify a pollution emission source and provide management basis for pollution responsibility identification, emergency response and subsequent treatment. Along with the intensive industrial production and urban activities, the number of pollution sources is increased, the emission behavior is complicated, and the traditional tracing mode relying on manual investigation and experience judgment is difficult to meet the management requirements of timeliness and accuracy. How to establish a systematic traceability management flow, effectively correlate the production operation rule, the historical emission record and the alarm information of the emission port of the pollution source, and becomes the problem to be solved in the current water pollution management field. The existing water pollution tracing management method generally comprises the following steps that a management department registers a basic file of a pollution source and a basic file of a discharge port in advance, when a discharge port monitoring device gives a pollution alarm, a manager primarily screens suspected pollution sources according to the geographic position adjacent relation between the pollution source and the discharge port, and finally determines the pollution source by calling production records and discharge records of the pollution sources to conduct manual comparison. The part of the management method also introduces a statistical rule based on the historical alarm frequency, and higher investigation priority is given to the pollution sources which are frequently confirmed. In addition, some methods attempt to make a simple time overlap comparison of the emission period of the pollution source with the discharge port warning period to improve the pertinence of the investigation. However, the existing management method has the following defects that firstly, the production operation rule of the pollution source always has dynamic fluctuation among batches, the actual emission starting time has offset change relative to the preset shift starting time, the emission intensity is different among different batches, the existing management method only carries out comparison according to fixed production shift time or simple time overlapping, the offset distribution interval and the intensity change rule of each emission cannot be captured dynamically, and when the emission behavior of the pollution source fluctuates among batches, the association judgment of the emission port alarm time period and the pollution source emission time period is deviated. Secondly, the existing management method lacks a dynamic update mechanism for history associated information between a pollution source and a discharge port, after each tracing is finished, the characteristic ascending section and the matching result of the alarm are not recorded and are used for the trust adjustment of subsequent investigation, so that the distinction degree of the pollution source which is not confirmed for a long time and the pollution source which is confirmed for a plurality of times on the investigation priority is gradually reduced, the sequencing result of an investigation task list is excessively dependent on static initial trust configuration, and cannot be self-corrected along with the history tracing result. Disclosure of Invention The invention aims to provide a rapid traceability management method for preventing and treating water pollution, which solves the following technical problems: The prior art cannot dynamically adapt to batch-to-batch fluctuation of pollution source emission behaviors, so that deviation exists in the association judgment of an emission port alarm period and a pollution source emission period, and meanwhile, a mechanism for dynamically updating the investigation trust based on a historical tracing result is lacking, and the investigation priority order cannot be self-corrected along with a historical record. The aim of the invention can be achieved by the following technical scheme: a quick traceability management method for preventing and controlling water pollution comprises the following steps: S1, establishing a pollution source information file and a discharge port information file, wherein the pollution source information file comprises a pollution source geographic position and a production operation rule, and the discharge port information file comprises a discharge port geographic position and a water body flow direction; S2, associating pollution sources with discharge ports according to geographic position proximity relations to form an association catalog, and drawing a discha