CN112083132A - Sewage pollution tracing method - Google Patents
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- 239000010865 sewage Substances 0.000 title claims abstract description 236
- 238000000034 method Methods 0.000 title claims abstract description 40
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- 208000028659 discharge Diseases 0.000 description 18
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- OAICVXFJPJFONN-UHFFFAOYSA-N Phosphorus Chemical compound [P] OAICVXFJPJFONN-UHFFFAOYSA-N 0.000 description 9
- 229910052698 phosphorus Inorganic materials 0.000 description 9
- 239000011574 phosphorus Substances 0.000 description 9
- 238000012544 monitoring process Methods 0.000 description 8
- 238000011835 investigation Methods 0.000 description 5
- 239000002351 wastewater Substances 0.000 description 4
- 238000004458 analytical method Methods 0.000 description 3
- 239000012895 dilution Substances 0.000 description 3
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- 150000002894 organic compounds Chemical class 0.000 description 1
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Abstract
The invention is suitable for water conservancy modernization technology, has provided a sewage pollution tracing to the source method, said method comprises obtaining the sewage sampling data of the trunk line; when the sewage sampling data of the main pipeline reaches a preset pollution value, the superior pipeline with abnormal sewage sampling data is obtained by tracing back step by step; and according to the recording time of the sewage sampling data of the dry pipeline and the recording time of the sewage sampling data of each stage of pipeline with abnormal sewage sampling data, the primary pipeline where the polluted sewage is located is judged by tracing back step by step. According to the method provided by the invention, the sensor on the main pipeline has the highest precision, so that whether the pollution discharge exists in each stage of pipeline can be detected, and the primary pipeline generating pollution is determined by tracing back upwards along each stage of pipeline according to the time incidence relation when the pollution discharge is detected, so that the problem that the existing sewage pollution tracing is inconvenient is solved.
Description
Technical Field
The invention belongs to the technical field of water conservancy modernization, and particularly relates to a sewage pollution tracing method.
Background
Along with the rapid development of industrial production, the discharge capacity is increasing day by day, the water pollution becomes one of the most main environmental problems at present, and industrial sewage is directly discharged into a natural river channel or an underground pipeline without being treated, so that serious environmental pollution can be caused, and great harm is brought to the lives of people. With the stricter and stricter requirements on the environment regulation, the pollution source investigation and the pollution source tracing are indispensable links. Only if pollution tracing is well realized, the pollution source can be cut off in time, and the pollution condition is prevented from further worsening; and the responsibility of researching into the pollution discharge enterprises is determined, the pollution discharge enterprises are better supervised, and the water body pollution caused by illegal discharge of the pollution discharge enterprises is prevented.
The existing water pollution tracing technology mainly collects polluted downstream water samples and water samples of upstream sewage-related enterprise sewage outlets after an accident occurs, detects and analyzes the water samples, and analyzes and compares detection results to realize the investigation and tracing of pollution sources and find out the responsible party of illegal sewage discharge. If more pollution-related enterprises are in the upstream and the suspicion is wide, the workload of pollution tracing is large, the time and the energy consumption are large, the pollution source investigation and the pollutant tracing cannot be performed in time, and the pollution accident cannot be prevented and treated effectively in time.
Traditional troubleshooting of sewage outlets usually employs manual investigation or analysis of pollutants by sensors. However, manual patrol is generally performed at intervals, monitoring holes may occur, so that the sewage treatment equipment cannot be traced back when the sewage treatment equipment has problems, the sewage treatment equipment is monitored in a mode of covering all time periods through manual patrol, a large amount of human resources need to be consumed, and the working efficiency is not high. Meanwhile, if all the sensors are installed and detected on the sewage draining exit, the number of the sensors required to be installed is large, meanwhile, the detection precision of the required sensors is high, and the cost is increased.
Disclosure of Invention
The embodiment of the invention provides a sewage pollution tracing method, aiming at solving the problem that the existing sewage pollution tracing is not convenient.
The embodiment of the invention is realized in such a way that a sewage pollution tracing method comprises the following steps:
acquiring sewage sampling data of a main pipeline;
when the sewage sampling data of the main pipeline reaches a preset pollution value, the superior pipeline with abnormal sewage sampling data is obtained by tracing back step by step;
and according to the recording time of the sewage sampling data of the main pipeline and the recording time of the sewage sampling data of each stage of pipeline with abnormal sewage sampling data, the primary pipeline where the polluted sewage is located is judged by tracing back step by step.
Further, the step of determining a primary pipe in which the contaminated sewage is generated includes:
acquiring a time difference value between the recording time of the sewage sampling data of the main pipeline and the recording time of the sewage sampling data of each stage of pipeline with abnormal sewage sampling data;
acquiring a distance difference value between a recording position of the sewage sampling data of the main pipeline and a recording position of the sewage sampling data of each stage of pipeline with abnormal sewage sampling data;
acquiring the recorded flow velocity of the sewage sampling data of the main pipeline and the recorded flow velocity of the sewage sampling data of each stage of pipeline with abnormal sewage sampling data;
and according to each time difference value, each distance difference value and each recorded flow velocity, gradually backtracking the upper-level pipeline with time correlation matching until backtracking and judging the primary pipeline where the polluted sewage is located.
Further, the step of acquiring the sewage sampling data of the main pipeline comprises:
detecting whether rainfall occurs at present;
if so, detecting water quality data in each stage of pipeline;
and if not, detecting water quantity data in the pipelines at all levels.
Further, the step of acquiring data detected by the sensors located at the respective pipe joints on the tree-shaped pipe with the multi-stage confluence comprises:
acquiring whether rainfall occurs at present;
if yes, acquiring water quality information detected by the sensor;
and if not, acquiring the water quantity information detected by the sensor.
Furthermore, when the detection judges that the sewage sampling data of the main pipeline reaches the preset pollution value, the step of obtaining the superior pipeline with abnormal sewage sampling data by tracing step by step comprises the following steps:
acquiring sewage sampling data of pipelines at all levels;
when the sewage sampling data of any pipeline reaches a preset alarm value, recording the abnormal time;
when the sewage sampling data of the main pipeline reaches a preset pollution value, the upper-level pipeline which is connected with the main pipeline and is abnormal in the sewage sampling data is obtained by tracing back step by step.
Furthermore, when the detection judges that the sewage sampling data of any pipeline reaches the preset alarm value, the step of recording the abnormal time comprises the following steps:
when rainfall occurs, when the detection judges that the sewage sampling data of any pipeline reaches a preset water quality alarm value, recording the abnormal time;
when rainfall does not occur, when the detection judges that the sewage sampling data of any pipeline reaches a preset water volume alarm value, recording the abnormal time.
Further, after the step of backtracking and determining the primary pipeline where the polluted water is generated, the method further comprises:
the method comprises the steps of collecting a current water sample through a corresponding sampler arranged on a primary pipeline where polluted sewage is located, and examining according to the water sample.
Further, the step of acquiring the sewage sampling data of the main pipeline comprises:
acquiring pipeline information of each stage of pipeline and information of each sensor which is arranged at the connection position of each stage of pipeline and is used for acquiring sewage sampling data;
and establishing a tree-shaped pipeline model according to the pipeline information and the information of the sensors, and marking the information of each sensor in the pipeline model.
Still further, the method further comprises:
displaying the sewage sampling data collected by each sensor in the pipeline model;
displaying and marking various levels of pipelines with abnormal sewage sampling data in the pipeline model by a first color;
and displaying and marking the primary pipeline where the polluted sewage is generated and the pipelines at all levels converged step by step in the pipeline model by a second color.
Further, before the step of acquiring the sewage sampling data of the main pipeline, the method further includes:
acquiring historical statistical information from a preset cloud server, wherein the historical statistical information comprises water quality data and water quantity data of each position in each time period;
and iteratively correcting the preset water quality alarm value and the preset water quantity alarm value of each position in each time period according to the historical statistical information.
In the embodiment of the invention, the detection of sewage is carried out through the main pipeline at the end of the confluence, when the sewage sampling data of the main pipeline reaches a preset pollution value, the sewage discharge phenomenon is determined, the superior pipeline with abnormal sewage sampling data is traced back upwards step by step at the moment, the primary pipeline with the polluted sewage is judged by tracing back step by step according to the time incidence relation between the recording time of the sewage sampling data of the superior pipeline with the abnormality and the recording time of the sewage sampling data of the main pipeline, at the moment, the detection of whether sewage is discharged is realized by arranging the sensor with the highest sampling precision in the main pipeline, and the sensor with the lower sampling precision in each level of pipelines detects whether the sewage is abnormal, thereby well avoiding the problem of cost increase caused by arranging the sensor with high precision in each primary pipeline, and reducing the cost for arranging the sensor on the primary pipeline, and go on upwards backtracking step by step through appearing unusual pipeline at sewage sampling data at different levels for can be swift determine produce the primary pipeline that pollutes, solved current sewage pollution and traced to the source inconvenient problem.
Drawings
Fig. 1 is a flowchart of an implementation of a tracing method for sewage pollution according to an embodiment of the present invention;
FIG. 2 is a flowchart of an implementation of the tracing method for sewage contamination according to the second embodiment of the present invention; and
fig. 3 is a schematic view of a rain sewage piping system proposed in the embodiment of the present invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the present invention more apparent, the present invention is described in further detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative of the invention and are not intended to limit the invention.
The invention provides a sewage pollution tracing method, which comprises the steps of obtaining sewage sampling data of a main pipeline; when the sewage sampling data of the main pipeline reaches a preset pollution value, the superior pipeline with abnormal sewage sampling data is obtained by tracing back step by step; according to the recording time of the sewage sampling data of the main pipeline and the recording time of the sewage sampling data of all levels of pipelines with abnormal sewage sampling data, the primary pipeline where the polluted sewage is located is judged by tracing back step by step so as to solve the problem that the existing sewage pollution tracing is not convenient.
Example one
Fig. 1 shows an implementation flow of a tracing method for sewage pollution provided by an embodiment of the present invention, and for convenience of description, only the parts related to the embodiment of the present invention are shown, which are detailed as follows:
in step S11, sewage sampling data of the main pipe is acquired.
The sewage pollution tracing method provided by the embodiment of the invention is applied to a rain and sewage pipe network system, the rain and sewage pipe network system comprises a multi-stage confluent tree-shaped pipeline, and the multi-stage confluent tree-shaped pipeline is finally confluent onto a trunk pipeline at the confluent tail end along a confluent direction. It should be noted that in this embodiment, the sampling precision of the sensors along the converging direction is sequentially increased, so that although there is a problem of low content due to dilution after converging, due to the increase of the sampling precision, the sensors at the converging connection position can still perform good data sampling on the pipeline, and the detection of the water sample in the pipeline is realized. It should be further noted that, in this embodiment, each sensor can perform sampling detection on the located pipeline, but the detection accuracy is low, and it is impossible to determine whether there is a pollution discharge phenomenon in the located pipeline.
Specifically, for example, domestic wastewater discharged by each cell or each household user is discharged into a primary pipeline at the initial end of the confluence connected with the primary pipeline, and is connected with a next-stage pipeline in a connection manner, so that the domestic wastewater in the primary pipeline is converged into the next-stage pipeline connected with the primary pipeline, a sensor is arranged at the connection position of the primary pipeline and the next-stage pipeline, the sampling precision of the sensor is the lowest, the sensor can detect water in the pipeline, but the detection precision is the lowest, the sensor cannot determine whether the phenomenon of stealing sewage polluted by enterprises exists according to the currently detected sewage sampling data, and the sensor can judge whether the abnormal phenomenon of water abnormality exists according to the detected sewage sampling data.
Furthermore, the domestic wastewater in each primary pipeline converges to the next-stage pipeline connected with the primary pipeline, and converges downwards to the next-stage pipeline in the tree-shaped pipeline through the first-stage pipeline along the converging direction, and finally converges to the main pipeline at the converging end, so that uniform wastewater discharge treatment is realized. Wherein every pipeline department of plugging into all is equipped with the sensor, and the sensor precision of last one-level pipeline is lower than the sensor precision of next stage pipeline for although there is because the water yield to converge the pollution dilution problem that leads to, the sensor in its next stage pipeline still can detect out whether there is water abnormal information.
Further, a preset sensor is arranged on the main pipeline at the tail end of the confluence pipe, wherein the precision of the preset sensor is the highest precision sensor of all the sensors, specifically, in the embodiment, the preset sensor is a total phosphorus sensor which can correspondingly acquire the total phosphorus content in the main pipeline, and it can be understood that in other embodiments of the invention, the preset sensor can also be other sensors with high precision for detecting sewage. The total phosphorus sensor arranged in the main pipeline can accurately determine the total phosphorus content in the main pipeline and determine whether pollution exists in the main pipeline according to the total phosphorus content, wherein the sensor cannot accurately detect whether pollution exists after the wastewater in the upper-level pipeline is diluted due to confluence, but the total phosphorus content is finally converged into the main pipeline and cannot be changed due to dilution.
Furthermore, all sensors in the rain and sewage pipe network system are connected with a monitoring center station, and the monitoring center station is used for monitoring the state of the rain and sewage pipe network system, such as monitoring whether the pollution exists, sewage is drained by theft, the pipeline is waterlogged, the pipeline is damaged and leaked, and the like. And each sensor acquires the sewage sampling data of the current pipeline connection position in real time and correspondingly sends the data to the monitoring center station, so that the monitoring center station acquires each sewage sampling data to process and determine the state of the monitored rain and sewage pipe network system. Specifically, in tracing the sewage pollution source, the monitoring center station acquires the sewage sampling data of the main pipeline in real time, judges whether the sewage discharge condition exists according to the acquired sewage sampling data on the main pipeline, and traces the source of the sewage pollution correspondingly when the sewage discharge condition exists.
In step S12, when it is determined that the sewage sampling data of the main pipeline reaches the preset pollution value, the superior pipeline with abnormal sewage sampling data is obtained by tracing back step by step.
In the embodiment of the invention, when the monitoring center station acquires and judges that the sewage sampling data sampled by the main pipeline reaches the preset pollution value, the superior pipeline with abnormal sewage sampling data is acquired by tracing back step by step. The monitoring central station acquires the total phosphorus content detected by a total phosphorus sensor in the main pipeline in real time, records each currently acquired data when the total phosphorus content is detected to reach a preset pollution value, and traces back the upper-level pipeline with abnormal sampling data from the main pipeline upwards step by step. Wherein each data is specifically such as the current acquired time, the flowing speed of the sewage in the pipeline and the specifically acquired parameter value of each sampling data.
The monitoring center station acquires sewage sampling data of pipelines where the sensors arranged at the pipeline junctions collect, determines that water is abnormal when the acquired sewage sampling data reach a preset alarm value, and records the current abnormal sewage sampling data, such as time, flow rate, sampling parameters and the like.
It can be understood that the abnormal time recorded by each sensor detecting the abnormality of the sewage sampling data is earlier than the pollution time recorded by the preset sensor, namely, the flow is in time sequence, the wastewater is firstly discharged into the primary pipeline positioned at the initial end of the confluence, and the sensor arranged on the primary pipeline and connected with the next-stage pipeline has lower precision, it detects whether the suspected water is abnormal, but can not confirm whether the sewage discharge condition exists, at the moment, the monitoring central station records the abnormal sewage sampling data, when the sensor connected with the pipeline in which the sensor is positioned and the next-stage pipeline continuously detects the abnormal water in the subsequent process, the monitoring central station continuously records the abnormal sewage sampling data, at the moment, the wastewater is finally converged to the main pipeline step by step, when the preset sensor on the main pipeline detects pollution, the monitoring center can acquire sewage sampling data sampled by the preset sensor.
It should be noted that, because the accuracy of the sensor disposed at the pipe connection point is low, except that the pipe connection point through which the discharged sewage flows may detect whether the water is suspected to be abnormal, other sensors may determine whether the water is suspected to be abnormal according to the detected data or suddenly a large amount of water is discharged, and other conditions, so that when the preset sensor on the main pipe detects the pollution, the monitoring center station sequentially backtracks from the main pipe to the upper-stage pipe step by step according to the determined pollution, and determines each upper-stage pipe where the acquired sewage sampling data is abnormal.
In step S13, the primary pipeline where the polluted water is located is determined by tracing back step by step according to the recording time of the sewage sampling data of the main pipeline and the recording time of the sewage sampling data of each stage of pipeline where the sewage sampling data is abnormal.
Specifically, the step-by-step backtracking and judging of the primary pipeline in which the polluted sewage is located can be realized by referring to the following steps:
(1) acquiring a time difference value between the recording time of the sewage sampling data of the main pipeline and the recording time of the sewage sampling data of each stage of pipeline with abnormal sewage sampling data;
(2) acquiring a distance difference value between a recording position of the sewage sampling data of the main pipeline and a recording position of the sewage sampling data of each stage of pipeline with abnormal sewage sampling data;
(3) acquiring the recorded flow velocity of the sewage sampling data of the main pipeline and the recorded flow velocity of the sewage sampling data of each stage of pipeline with abnormal sewage sampling data;
(4) and according to each time difference value, each distance difference value and each recorded flow velocity, gradually backtracking the upper-level pipeline with time correlation matching until backtracking and judging the primary pipeline where the polluted sewage is located.
Specifically, in the embodiment of the present invention, when the sewage sampling data acquired by the monitoring central station and acquired by the preset sensor on the main pipeline reaches the preset pollution value and it is determined that there is sewage discharge, the current pollution time recorded by the preset sensor, the current flow rate of the main pipeline, and the position in the main pipeline are acquired and recorded. Further, the monitoring center station acquires the recording time, the recording flow rate and the position of the pipeline where the abnormal sewage sampling data of each stage of pipeline occurs in each sensor connected with the main pipeline. At the moment, the source tracing analysis is not carried out on each sensor which is not abnormal, so that only the pipeline where the sensor with abnormal sewage sampling data is located is analyzed at the beginning, and the analysis time is effectively reduced.
Further, according to the acquired information, the distance difference between each sensor which is connected with the main pipeline and is determined to be abnormal and the preset sensor, the time difference between abnormal time and pollution time and the recorded flow rate of each pipeline are determined. At this time, after obtaining each distance difference, each time difference, and the recorded flow velocity of the main pipeline, it may determine whether to match according to the distance difference, the time difference, and the time correlation corresponding to the flow velocity, for example, when it is determined that the flow velocity of the main pipeline is X m/s, the time difference between the abnormal time and the contamination time detected by the first sensor connected to the main pipeline is Y s, and the distance difference between the first sensor connected to the main pipeline and the preset sensor is Z m, it can be known that if the time correlation matches, the distance difference Z should be approximately equal to the product of the flow velocity X and the time difference Y, and if the real distance difference is far from the theoretical distance difference of the time correlation, it is determined that the previous pipeline where the first sensor connected to the main pipeline is located is a pipeline that is not contaminated, and analogizing in turn, after judging the time correlation between the abnormal time recorded by each sensor with abnormal sewage sampling data connected with the main pipeline and the pollution time recorded by the prediction sensor, determining a target sensor matched with the time correlation and a current pipeline polluted by the target sensor connected with the main pipeline, wherein the current pipeline is a previous-stage pipeline connected with the main pipeline.
Further, after the current pipeline generating pollution is determined, the current pipeline is further traced upwards, and the superior pipeline where other sensors which are connected with the main pipeline and have abnormal sewage sampling data is located is not traced any more, so that the efficiency of tracing the source of the sewage pollution is effectively improved And matching the time correlation relation of the flow speed recorded by the current pipeline target sensor. Confirm the last level pipeline of the production pollution of plugging into with current pipeline according to the matching result, and target sensor, this moment this target sensor is for locating the sensor that the current pipeline and the last level pipeline connection department confirm the production pollution, further, carry out like foretell further backtracking to last level pipeline, backtrack to the primary pipeline at the sewage place of the production pollution of this arborescent pipe network confluence beginning this moment finally after backtracking step by step for the realization is traced to the source to arborescent pipeline's sewage pollution.
In the embodiment of the invention, the detection of sewage is carried out through the main pipeline at the end of the confluence, when the sewage sampling data of the main pipeline reaches a preset pollution value, the sewage discharge phenomenon is determined, the superior pipeline with abnormal sewage sampling data is traced back upwards step by step at the moment, the primary pipeline with the polluted sewage is judged by tracing back step by step according to the time incidence relation between the recording time of the sewage sampling data of the superior pipeline with the abnormality and the recording time of the sewage sampling data of the main pipeline, at the moment, the detection of whether sewage is discharged is realized by arranging the sensor with the highest sampling precision in the main pipeline, and the sensor with the lower sampling precision in each level of pipelines detects whether the sewage is abnormal, thereby well avoiding the problem of cost increase caused by arranging the sensor with high precision in each primary pipeline, and reducing the cost for arranging the sensor on the primary pipeline, and go on upwards backtracking step by step through appearing unusual pipeline at sewage sampling data at different levels for can be swift determine produce the primary pipeline that pollutes, solved current sewage pollution and traced to the source inconvenient problem.
Example two
Fig. 2 shows an implementation flow of the tracing method for sewage pollution provided by the second embodiment of the present invention, and for convenience of description, only the relevant parts of the second embodiment of the present invention are shown, and detailed descriptions are as follows:
in step S21, sewage sampling data of the main pipe is acquired.
In the embodiment of the present invention, before the step of acquiring the sewage sampling data of the main pipeline, the method further includes the following steps:
(1) acquiring pipeline information of each stage of pipeline and information of each sensor which is arranged at the connection position of each stage of pipeline and is used for acquiring sewage sampling data;
(2) and establishing a tree-shaped pipeline model according to the pipeline information and the information of the sensors, and marking the information of each sensor in the pipeline model.
Specifically, as shown in fig. 3, in the present embodiment, the tree-shaped pipeline includes a plurality of stages of yard pipelines, branch pipelines, and main pipelines which converge in sequence. For better description, the rain and sewage pipe network system is illustrated, and as shown in fig. 3, all the pipelines are finally converged onto a main pipeline, five branch pipelines are connected onto the main pipeline, namely a branch pipeline a, a branch pipeline B, a branch pipeline C, a branch pipeline D and a branch pipeline E, in sequence, wherein two yard pipelines, namely a yard pipeline a1 and a yard pipeline a2, are connected onto the main pipeline a; two courtyard pipelines, namely a courtyard pipeline B1 and a courtyard pipeline B2, are connected to the main pipeline B; three courtyard pipelines, namely a courtyard pipeline C1, a courtyard pipeline C2 and a courtyard pipeline C3 are connected to the main pipeline C; a courtyard pipeline is connected to the main pipeline E, and the courtyard pipeline E1 is arranged on the main pipeline E in sequence. It can be understood that, due to the tree-shaped distribution of different pipelines, the branch pipeline D can be directly used as a primary pipeline for confluence, and each yard pipeline can also be used as a primary pipeline for confluence. It can be understood that the rain and sewage pipe network system in fig. 3 does not limit the existing rain and sewage pipe network system, and further, in the existing rain and sewage pipe network system, the upper-stage pipeline and the higher-stage pipeline such as capillary branch pipes can be connected to the courtyard pipeline, and finally the upper-stage pipeline and the lower-stage pipeline are converged into the main pipeline.
Furthermore, after the tree-shaped pipeline model is established for each sensor and each level of pipeline, the monitoring central station can acquire data detected by each sensor in the pipeline model in real time and determine information of each sensor so as to rapidly determine whether water abnormity exists in the pipeline model. Meanwhile, the sewage sampling data collected by each sensor can be displayed in the pipeline model so as to provide visual presentation for a user, and the user can conveniently look up the sewage sampling data.
Further, before the step of acquiring the sewage sampling data of the main pipeline, the method further comprises the following steps:
(1) detecting whether rainfall occurs at present;
(2) if so, detecting water quality data in each stage of pipeline;
(3) if not, detecting water quantity data in each stage of pipeline;
it should be noted that, in the determination of whether there is water abnormality in the pipeline, it is first determined whether there is rainfall, that is, when there is no rainfall, it is determined whether there is water abnormality through the water amount data, where the water amount data mainly includes water level, that is, when the water level of the pipeline where the sensor is located is suddenly and rapidly increased under the normal non-rainfall condition, it is determined that there is water abnormality, and mainly because the water level after its corresponding pollution discharge is higher than the water level under the existing normal condition when there is a large amount of pollution discharge, it is mainly determined whether there is water abnormality through the water amount data, that is, the water amount data detected by the sensor is obtained, but it can be understood that it can also be determined whether there is water abnormality through the water quality data.
After rainfall, the water level in the pipeline rises, so that the water quantity data cannot be used for judging whether water abnormity exists or not, at the moment, the water quality data is judged, namely the water quality data detected by the sensor is obtained, wherein the water quality data comprises but is not limited to a PH value, a suspended solid state, organic compounds, heavy metal content and the like, and the sensor for correspondingly detecting the substance can be arranged at the connection position of the primary pipeline according to the main sewage discharge substance of an enterprise connected with the primary pipeline, so that the detection precision is improved.
In step S22, when it is determined that the sewage sampling data of the main pipeline reaches the preset pollution value, the superior pipeline with abnormal sewage sampling data is obtained by tracing back step by step.
In the embodiment of the present invention, when the detection determines that the sewage sampling data of the main pipeline reaches the preset pollution value, the step-by-step backtracking to obtain the superior pipeline with abnormal sewage sampling data may be implemented by referring to the following steps:
(1) acquiring sewage sampling data of pipelines at all levels;
(2) when the sewage sampling data of any pipeline reaches a preset alarm value, recording the abnormal time;
(3) when the sewage sampling data of the main pipeline reaches a preset pollution value, the upper-level pipeline which is connected with the main pipeline and is abnormal in the sewage sampling data is obtained by tracing back step by step.
Further, when the sewage sampling data of any pipeline reaches a preset alarm value, the step of recording the abnormal time comprises the following steps:
when rainfall occurs, when the detection judges that the sewage sampling data of any pipeline reaches a preset water quality alarm value, recording the abnormal time;
when rainfall does not occur, when the detection judges that the sewage sampling data of any pipeline reaches a preset water volume alarm value, recording the abnormal time.
Namely, after rainfall occurs, water quality data detected by the sensor is acquired, and when the water quality data reaches a preset water quality alarm value, current detected abnormal time and the flow rate of a corresponding pipeline are recorded. When rainfall does not occur, water quantity data detected by the sensor are obtained, and when the water quantity data reach a preset water quantity alarm value, current detected abnormal time and the flow rate of a corresponding pipeline are recorded.
Further, the setting of the preset water quantity alarm value and the preset water quality alarm value is realized according to the following steps:
(1) acquiring historical statistical information from a preset cloud server, wherein the historical statistical information comprises water quality data and water quantity data of each position in each time period;
(2) and iteratively correcting the preset water quality alarm value and the preset water quantity alarm value of each position in each time period according to the historical statistical information.
Wherein, as can be understood, the sensor thereof detects a large amount of data of the pipeline in which the sensor is located, generates historical statistical information, and determines the water quality information and the water quantity information of each position in each time period according to the historical statistical information, for example, each user of the cell can process a large amount of domestic water in a specific time period, the water level of the time period may be at a higher level, the user does not process the domestic water in other time periods, the water level of the other time periods may be at a lower level, so that the water quality information and the water quantity information of each position in each time period can be determined according to the large amount of historical statistical information, and the preset water level alarm value and the preset water quantity alarm value are determined according to the corresponding determination of the water quality information and the water quantity information, and further, the preset water level alarm value and the preset water quantity alarm value are correspondingly corrected according to the current and subsequent acquired information, the method and the device can correspondingly remove pipelines without water abnormity through setting the preset water level alarm value and the preset water quantity alarm value, reduce the workload of tracing the polluted sewage and improve the tracing efficiency.
In step S23, the primary pipeline where the polluted water is located is determined by tracing back step by step according to the recording time of the sewage sampling data of the main pipeline and the recording time of the sewage sampling data of each stage of pipeline where the sewage sampling data is abnormal.
In this embodiment, for example, when the main pipeline detects water abnormality in each sensor connected to the branch pipeline B, the branch pipeline C, and the branch pipeline D, the branch pipeline a and the branch pipeline E are not subjected to tracing of sewage, and at this time, the branch pipeline C is matched and determined to be polluted according to the correlation between the pollution time currently recorded by the preset sensor and the time of the abnormality time recorded by each sensor connected to the main pipeline to determine abnormality. The source tracing is carried out on the upper-stage yard pipeline which is connected with the branch pipeline C, and meanwhile, the source tracing is not carried out on the upper-stage yard pipeline which is connected with the branch pipeline B and the branch pipeline D. The specific matching of the time association relationship can be referred to the foregoing embodiments, and is not described herein again.
Wherein, furthermore, after determining that the branch pipeline C is polluted, the backtracking of the upper stage courtyard pipeline connected with the branch pipeline C is started to determine the polluted courtyard pipeline, when the branch pipeline C detects abnormal water in each sensor connected with the courtyard pipeline C1 and the courtyard pipeline C2, according to the time correlation relationship between the abnormal time recorded by the target sensor arranged on the main pipeline and the branch pipeline C and the abnormal time recorded by each abnormal sensor, the pollution of the courtyard pipeline C2 is determined, at the moment, the primary pipeline which generates the pollution and is arranged at the initial converging end of the tree-shaped pipeline is determined to be the courtyard pipeline C2, and as can be understood, when a plurality of stages of upper-level pipelines which are mutually connected are arranged on the courtyard pipeline, and backtracking step by step to finally determine the primary pipeline where the polluted sewage is located at the confluence primary end of the tree-shaped pipeline.
Further, after the step of backtracking and judging the primary pipeline where the polluted sewage is located step by step, the method further comprises the following steps:
displaying the sewage sampling data collected by each sensor in the pipeline model;
displaying and marking various levels of pipelines with abnormal sewage sampling data in the pipeline model by a first color;
and displaying and marking the primary pipeline where the polluted sewage is generated and the pipelines at all levels converged step by step in the pipeline model by a second color.
The sewage sampling data collected by each sensor is displayed in the pipeline model, so that a user can quickly find real-time data of all levels of pipelines in the urban rainwater and sewage pipeline system, the abnormal all levels of pipelines appear in the sewage sampling data through color display marks in the pipeline model, the user can determine all levels of pipelines with abnormal water according to colors, the marks are respectively displayed on the pipelines with abnormal water and the pipelines with water pollution through the first color and the second color, and the user can quickly trace and determine all levels of pipelines with sewage discharge and the current pipelines with abnormal water according to the two colors.
In step S24, collecting a current water sample through a corresponding sampler provided on a primary pipeline where contaminated sewage is located, to perform a check according to the water sample;
wherein, in this embodiment, need point out and all be equipped with the sample thief on its each elementary pipeline, and each sample thief all is connected with the control center station, wherein, when tracing back the elementary pipeline that produces the pollution, the control center station sends control signal to the sample thief that this elementary pipeline corresponds this moment to make the sample thief gather current water sample, so that the evidence investigation of taking in law enforcement personnel later stage is in order to examine and later stage law enforcement with the full parameter to quality of water.
Further, the preset sensor can also acquire the duration of sewage drainage, when the preset sensor starts to collect sewage sampling data and reaches a preset pollution value, the recording of the pollution time is started, when the preset sensor acquires that the sewage sampling data is lower than the preset pollution value, the recording of the stop time is performed, and at the moment, the start time and the duration of sewage drainage can be roughly determined according to the pollution time, the abnormal time and the stop time detected by the sensor arranged on the primary pipeline, so that later law enforcement of law enforcement personnel can be facilitated.
The above description is only for the purpose of illustrating the preferred embodiments of the present invention and is not to be construed as limiting the invention, and any modifications, equivalents and improvements made within the spirit and principle of the present invention are intended to be included within the scope of the present invention.
Claims (9)
1. A tracing method for sewage pollution is characterized in that the method comprises the following steps:
acquiring sewage sampling data of a main pipeline;
when the sewage sampling data of the main pipeline reaches a preset pollution value, the superior pipeline with abnormal sewage sampling data is obtained by tracing back step by step;
and according to the recording time of the sewage sampling data of the main pipeline and the recording time of the sewage sampling data of each stage of pipeline with abnormal sewage sampling data, the primary pipeline where the polluted sewage is located is judged by tracing back step by step.
2. The sewage pollution tracing method of claim 1, wherein the step of tracing back stage by stage to determine the primary pipeline in which the polluted water is generated comprises:
acquiring a time difference value between the recording time of the sewage sampling data of the main pipeline and the recording time of the sewage sampling data of each stage of pipeline with abnormal sewage sampling data;
acquiring a distance difference value between a recording position of the sewage sampling data of the main pipeline and a recording position of the sewage sampling data of each stage of pipeline with abnormal sewage sampling data;
acquiring the recorded flow velocity of the sewage sampling data of the main pipeline and the recorded flow velocity of the sewage sampling data of each stage of pipeline with abnormal sewage sampling data;
and according to each time difference value, each distance difference value and each recorded flow velocity, gradually backtracking the upper-level pipeline with time correlation matching until backtracking and judging the primary pipeline where the polluted sewage is located.
3. The sewage pollution tracing method of claim 1, wherein the step of obtaining the sewage sampling data of the main pipeline is preceded by:
detecting whether rainfall occurs at present;
if so, detecting water quality data in each stage of pipeline;
and if not, detecting water quantity data in the pipelines at all levels.
4. The sewage pollution tracing method according to claim 3, wherein the step of tracing back and obtaining the superior pipeline with abnormal sewage sampling data step by step when the detection judges that the sewage sampling data of the main pipeline reaches the preset pollution value comprises:
acquiring sewage sampling data of pipelines at all levels;
when the sewage sampling data of any pipeline reaches a preset alarm value, recording the abnormal time;
when the sewage sampling data of the main pipeline reaches a preset pollution value, the upper-level pipeline which is connected with the main pipeline and is abnormal in the sewage sampling data is obtained by tracing back step by step.
5. The sewage pollution tracing method according to claim 4, wherein the step of recording the time when the abnormal time occurs when the detection and judgment result shows that the sewage sampling data of any pipeline reaches the preset alarm value comprises:
when rainfall occurs, when the detection judges that the sewage sampling data of any pipeline reaches a preset water quality alarm value, recording the abnormal time;
when rainfall does not occur, when the detection judges that the sewage sampling data of any pipeline reaches a preset water volume alarm value, recording the abnormal time.
6. The method according to claim 1, wherein after the step of backtracking the primary pipeline where the polluted water is generated, the method further comprises:
the method comprises the steps of collecting a current water sample through a corresponding sampler arranged on a primary pipeline where polluted sewage is located, and examining according to the water sample.
7. The sewage pollution tracing method of claim 1, wherein the step of obtaining the sewage sampling data of the main pipeline is preceded by:
acquiring pipeline information of each stage of pipeline and information of each sensor which is arranged at the connection position of each stage of pipeline and is used for acquiring sewage sampling data;
and establishing a tree-shaped pipeline model according to the pipeline information and the information of the sensors, and marking the information of each sensor in the pipeline model.
8. The sewage pollution tracing method of claim 7, wherein the method further comprises:
displaying the sewage sampling data collected by each sensor in the pipeline model;
displaying and marking various levels of pipelines with abnormal sewage sampling data in the pipeline model by a first color;
and displaying and marking the primary pipeline where the polluted sewage is generated and the pipelines at all levels converged step by step in the pipeline model by a second color.
9. The method for tracing sewage pollution according to claim 5, wherein before the step of obtaining the sewage sampling data of the main pipeline, the method further comprises:
acquiring historical statistical information from a preset cloud server, wherein the historical statistical information comprises water quality data and water quantity data of each position in each time period;
and iteratively correcting the preset water quality alarm value and the preset water quantity alarm value of each position in each time period according to the historical statistical information.
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