CN115685792A - Wastewater intermittent drain outlet flow triggering method and device based on flow threshold - Google Patents
Wastewater intermittent drain outlet flow triggering method and device based on flow threshold Download PDFInfo
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Abstract
The application discloses a wastewater intermittent drain flow triggering method and device based on a flow threshold. Firstly, establishing a sampling relation with a target wastewater discharge port, and acquiring wastewater intermittently discharged by the target wastewater discharge port; detecting the instantaneous flow of the discharged wastewater in real time, and collecting the wastewater intermittently discharged from a target wastewater discharge port when the instantaneous flow exceeds a minimum flow threshold value at a preset time; the lowest flow threshold value is used for analyzing and determining historical data of a target wastewater discharge port through a machine learning algorithm; and finally, detecting the currently collected water sample, and reporting the detection result to an automatic pollution source monitoring and managing platform. According to the invention, the lowest flow threshold is automatically identified and judged through a machine learning algorithm, so that water quality sampling is triggered, the measurement of a water quality analyzer is triggered to be more accurate, energy conservation and consumption reduction such as reagent reduction, power consumption reduction, waste liquid reduction and the like are realized, and the service life of monitoring equipment is prolonged.
Description
Technical Field
The invention relates to the technical field of water quality monitoring, in particular to a method and a device for triggering flow of an intermittent wastewater discharge outlet based on a flow threshold.
Background
Water is a source of life, a source of survival, a source of production, and an ecological base. The water environment problem is one of the topics which are of great concern at present, water sample collection and monitoring are basic links in a water environment supervision system, the pollution source online monitoring established in China is generally monitored in a continuous discharge mode, the water sample collection is carried out once every 1 hour or 2 hours according to set time, and the pollutant discharge condition of the enterprise wastewater can be basically reflected. However, the on-line monitoring of the intermittent discharge site obviously has problems, the intermittent discharge mode of the wastewater is complex, the discharge frequency, the discharge period and the like have obvious randomness, and some enterprises discharge the wastewater twice a day, and the discharge time is within 1 h. The discharge time of some enterprises is not fixed, and the discharge time is more than 2h each time. Some enterprises discharge the interval time fixedly, but discharge the duration fixedly sometimes 1h sometimes 2h discharge random irregularity.
Because the mode of continuous discharge is adopted for monitoring, some enterprise sampling ports are arranged at positions with water for a long time, an online monitoring instrument can also normally monitor when no discharge exists, sometimes the measured data of several hours is the same water sample, and the water sample monitoring in the prior art is usually realized by manually setting a flow threshold value, so that the accuracy, the reality and the effectiveness of the monitored data cannot be ensured.
Disclosure of Invention
Based on this, the embodiment of the application provides a wastewater intermittent drain flow triggering method and device based on a flow threshold, a minimum flow threshold for monitoring is obtained through a machine learning algorithm, and accurate supervision of a wastewater discharge port is achieved.
In a first aspect, a method for triggering flow of an intermittent wastewater discharge outlet based on a flow threshold is provided, and the method comprises the following steps:
establishing a sampling relation with a target wastewater discharge port, and acquiring wastewater intermittently discharged from the target wastewater discharge port based on the sampling relation;
detecting the instantaneous flow of the intermittently discharged wastewater of a target wastewater discharge port in real time;
analyzing historical data of a target wastewater discharge port through a machine learning algorithm to determine a minimum flow threshold;
when the set time is reached and the instantaneous flow exceeds the minimum flow threshold, carrying out water sample collection on the wastewater intermittently discharged from the target wastewater discharge port;
and detecting the currently collected water sample by using an automatic water quality analyzer, and reporting the detection result to an automatic pollution source monitoring and managing platform by using a data control unit.
Optionally, the minimum flow threshold is determined by analyzing historical data of the target wastewater discharge port through a machine learning algorithm, and specifically includes:
acquiring a plurality of groups of historical flow data with time marks, and performing negative value conversion on the historical flow data to obtain a vector to be analyzed;
after the vector to be analyzed is subjected to differential calculation, stability inspection is carried out on the differential calculation result;
when the test result is stable, performing Gaussian analysis on the stable data sequence;
and sequentially carrying out reverse differential operation and negative value conversion on the Gaussian analysis result to find out a corresponding source data value, and taking the source data value as a minimum flow threshold value.
Optionally, performing stationarity check on the difference calculation result, including:
setting autoregressive model
In the formula, mu is a translation item,αtis a trend term whenX 0 When the value is not less than 0, the reaction time is not less than 0,
；
calculating in autoregressive models by selecting DF or ADF statistics according to preset selection rulesβ；
When the oxygen deficiency is reachedβWhen the absolute value is less than 1, the ratio,X t is smooth when no blood countβWhen the value of | =1,X t is non-stationary;
and according to the formula
And calculating and comparing the used samples, and if DF is less than or equal to a critical value, representing the samples as a stable sequence.
Optionally, the preset selection rule includes selecting DF test for hysteresis only including the first order in the univariate model; when higher order lag terms are included in the model, ADF test is selected.
Optionally, when the checking result is stationary, performing gaussian analysis on the stationary data sequence, including according to the formula:
determining the result of the gaussian analysis, wherein,nin order to perform the differentiation a number of times,µto an expected value, σ is the standard deviation, σ 2 Is the variance.
Optionally, sequentially performing inverse difference operation and negative value conversion on the gaussian analysis result to find a corresponding source data value, and taking the source data value as a lowest flow threshold value, including according to a formula:
a source data value is determined, wherein,x 1 ,x 2 …x t the historical flow data after the time series is converted by negative values,
negative value conversion results are performed for each historical flow data,mis the value corresponding to the lowest threshold value,x m is the lowest flow rate threshold value and is,
in order to be a first-order difference vector,Ynegative conversion results.
Optionally, when the test result is unstable, the vector after the differential calculation of the vector to be analyzed is further subjected to the differential calculation, and stability test is performed.
Optionally, when the preset time is reached and the instantaneous flow exceeds the minimum flow threshold, the method performs water sample collection on the wastewater intermittently discharged from the target wastewater discharge port, and further includes:
collecting waste water intermittently discharged from a target waste water discharge port according to a preset time interval; when the effective sampling times in the unit time period are more than or equal to the set sampling times, the automatic water quality analyzer is triggered by the switching value signal to detect the currently collected water sample, and the data control unit reports the detection result.
Optionally, the method further comprises uploading the instantaneous flow, the accumulated flow and the corresponding detection result of the wastewater intermittently discharged from the target wastewater discharge port to an automatic pollution source monitoring and managing platform for analysis.
In a second aspect, a wastewater intermittent drain flow triggering device based on a flow threshold is provided, the device comprising:
the acquisition unit is used for establishing a sampling relation with the target wastewater discharge port and acquiring the intermittently discharged wastewater of the target wastewater discharge port based on the sampling relation;
the flow monitoring unit is used for detecting the instantaneous flow of the wastewater intermittently discharged from the target wastewater discharge port in real time;
the trigger acquisition unit is used for analyzing historical data of the target wastewater discharge port through a machine learning algorithm to determine a minimum flow threshold value;
the water sample collecting unit is used for collecting a water sample of the wastewater intermittently discharged from the target wastewater discharge port when the instantaneous flow exceeds the minimum flow threshold value after the set time is reached;
an analysis unit for detecting the currently collected water sample by a water quality automatic analysis instrument,
and the data control unit reports the detection result to the automatic pollution source monitoring and managing platform.
According to the technical scheme provided by the embodiment of the application, a sampling relation with a target wastewater discharge port is established, and wastewater intermittently discharged from the target wastewater discharge port is obtained based on the sampling relation; detecting the instantaneous flow of the intermittently discharged wastewater of the target wastewater discharge port in real time, and when the instantaneous flow exceeds a minimum flow threshold value at the preset time, performing water sample collection on the intermittently discharged wastewater of the target wastewater discharge port; the lowest flow threshold value is used for analyzing and determining historical data of a target wastewater discharge port through a machine learning algorithm; and finally, detecting the currently collected water sample by using an automatic water quality analyzer, and reporting the detection result to an automatic pollution source monitoring and managing platform by using a data control unit. It can be seen that the beneficial effects of the invention are:
(1) And reading the instantaneous flow of the flowmeter in real time, judging whether the flow reaches a minimum threshold value according to preset time and continuing for a period of time, if so, triggering a water sample acquisition unit to sample, and triggering a water quality analyzer to measure. The realization of this mode has realized reducing energy saving and consumption reduction such as reagent, reduction power consumption, reduction waste liquid to a certain extent, has also prolonged monitoring facilities's life simultaneously.
(2) The minimum flow threshold is set through automatic identification and judgment of a flow trigger sampling device machine learning algorithm, so that the influence of human intervention is reduced, the intellectualization and the automation are greatly improved, and meanwhile, the minimum flow threshold is automatically identified and judged through the machine learning algorithm, so that water quality sampling is triggered, and the water quality analyzer is triggered to measure more accurately.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below. It should be apparent that the drawings in the following description are merely exemplary, and that other embodiments can be derived from the drawings provided by those of ordinary skill in the art without inventive effort.
Fig. 1 is a flow chart of a flow triggering method for an intermittent wastewater drain based on a flow threshold according to an embodiment of the present application;
fig. 2 is a flowchart of determining a minimum flow threshold according to an embodiment of the present disclosure;
fig. 3 is a route diagram for implementing a minimum traffic threshold according to an embodiment of the present application;
FIG. 4 is a schematic diagram of an intermittent wastewater discharge flow triggered autosampler provided by an embodiment of the present invention;
FIG. 5 is a schematic diagram of an alternative waste water intermittent discharge flow triggered autosampler provided by an embodiment of the present invention;
fig. 6 is a block diagram of a wastewater intermittent drain flow triggering device based on a flow threshold according to an embodiment of the present application.
Detailed Description
In order to make the objects, technical solutions and advantages of the present application more apparent, the present application 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 present application and are not intended to limit the present application.
In the description of the present invention, the terms "comprises," "comprising," "has," "having," and any variations thereof, are intended to cover non-exclusive inclusions, such that a process, method, system, article, or apparatus that comprises a list of steps or elements is not necessarily limited to those steps or elements specifically listed, but may include other steps or elements not expressly listed or inherent to such process, method, article, or apparatus or added steps or elements based on further optimization concepts of the present invention.
The invention relates to a flow triggering sampling device which is mainly applied to an automatic monitoring and management system of a water pollution source. The field end monitoring equipment comprises an intelligent monitor or a data acquisition instrument, and comprises a flow monitoring unit, an automatic water sample sampling unit, a flow triggering sampling and sample feeding device, an automatic water quality analysis unit and the like. The invention is characterized in that a flow trigger sampling and feeding device is additionally arranged at a field end, so that the aims of reducing reagents, reducing power consumption, reducing waste liquid, saving energy, reducing consumption, prolonging service life and accurately monitoring are fulfilled. And deep analysis is carried out on the historical data of the intermittent discharge port of the wastewater by using a machine learning algorithm, so that a proper flow threshold value, a sampling period and interval time are obtained, and the completeness and effectiveness of monitoring data are guaranteed. Specifically, please refer to fig. 1, which shows a flowchart of an intermittent wastewater drain flow triggering method based on a flow threshold according to an embodiment of the present application, and the method may include the following steps:
The sampling relation in the application comprises that the flow triggering sampling and feeding device is connected with the on-site end flow monitoring unit, the water sample automatic sampling unit and the water quality automatic analysis unit, the flow triggering sampling and feeding device reads data of the flow monitoring unit, the water quality automatic sampling device is controlled to sample water, supply samples and leave samples, and the analysis unit is triggered to measure. The flow data, the monitoring data, the on-site water quality automatic sampler, the state of the water quality automatic analysis unit and the parameters are uploaded to the data acquisition instrument by the flow trigger sampling and feeding device. The data acquisition instrument outputs the read information to the pollution source automatic monitoring management platform, and the pollution source automatic monitoring management platform displays information such as flow, data and state.
And 102, detecting the instantaneous flow of the intermittently discharged wastewater of the target wastewater discharge port in real time.
In this application, when pollution source discharge port has waste water to discharge, the waste water obtains instantaneous flow monitoring data through the flowmeter, transmits to flow trigger sampler device and judges the flow value that adds up, and instantaneous flow judges, also according to time interval, but the minimum triggers the sampler through the flow and calculates according to historical data.
Optionally, when the flow rate is greater than or equal to the minimum flow rate threshold value, a starting signal is sent to the automatic water quality sampler system, and the automatic water quality sampler collects water samples; when the effective sampling times meet the requirements, the automatic water quality sampler is triggered to supply samples and the automatic water quality analysis unit is triggered to measure, the automatic water quality analysis unit transmits the data of wastewater concentration monitoring to the flow triggering sampling and sample supplying device in sequence, and then transmits the data to the data acquisition instrument, so that the display of the final data is realized.
And 103, analyzing historical data of the target wastewater discharge port through a machine learning algorithm to determine a minimum flow threshold value.
And analyzing and determining the historical data of the target wastewater discharge port by a machine learning algorithm of a flow trigger sampler device through the lowest flow threshold.
Specifically, as shown in fig. 2, the transformation of the flow threshold into the outlier problem specifically includes:
and step 1031, acquiring multiple groups of historical flow data with time marks, and performing negative value conversion on the historical flow data to obtain a vector to be analyzed.
In this step, the time-series stream stored in the platform database is first obtainedThe quantity data is subjected to negative value conversion to obtain a vector to be analyzedX：
In the formula (I), the compound is shown in the specification,Xis the vector to be analyzed, wherein,x 1 ,x 2 …x t the historical flow data after the time series is converted by negative values.
And 1032, after the differential calculation is carried out on the vector to be analyzed, stability test is carried out on the differential calculation result.
Vector to be analyzedXAnd (3) carrying out difference calculation:
for differential backward quantityX t The stationarity test (unit root test method) was performed:
three autoregressive models are given
In the formula, mu is a translation item,αtis a trend term whenX 0 When the value is not less than 0, the reaction time is not less than 0,
。
selecting DF or ADF statistic for calculation according to different models, wherein the selection principle is as follows: for the above sheetHysteresis of only first order in a variable model, in whichβThe DF test is selected for testing whether the value is equal to zero; when higher order lag terms are included in the model, this is forβThe test of whether or not equal to zero is an ADF test.
For the three models described above, whenβWhen the absolute value is less than 1, the reaction solution is mixed,X t is smooth when no blood countβWhen the value of | =1,X t is not stationary, in which case, define
And 1033, when the test result is stable, performing Gaussian analysis on the stable data sequence.
Using the sample for calculation comparison, if DF>The threshold value is expressed as a non-stationary sequence, and when step 1032 needs to be repeatedly executed, the backward quantity is a difference quantity
Is again differentiated, i.e.
(ii) a If DF is less than or equal to the critical value, representing the sequence as a stable sequence, and continuing to execute the step 1034 downwards;
and 1034, sequentially performing reverse difference operation and negative value conversion on the gaussian analysis result to find a corresponding source data value, and taking the source data value as a minimum flow threshold value.
For stationary data sequences: Δ nX (n is the number of difference performed) was subjected to gaussian analysis:
in the formula (I), the compound is shown in the specification,nin order to perform the differentiation a number of times,µto an expected value, σ is the standard deviation, σ 2 Is the variance.
According to Gaussian analysis, the application judges three standard deviation ranges around the average valueOutside, i.e.>The data of 3 sigma is abnormal value, and the value corresponding to the boundary is the value corresponding to the lowest threshold in the applicationm；
Sequentially carrying out reverse differential operation (considering the differential operation times) and negative value conversion to find out the corresponding source data value, namely the minimum flow threshold value-x m 。
Taking the first-order difference data as the stationary data as an example, assume thatmAt the first order difference vector
The position in (1) is shown as formula (6), and the corresponding addition operation of the first-order difference vector and the original data vector value is firstly needed, and then the negative value conversion is carried out on the first-order difference vector and the original data vector value, so that the corresponding lowest flow threshold value can be found-x m The calculation process is as follows:
as shown in fig. 3, a minimum flow threshold implementation route to which the above method is applied is given.
And 104, when the instantaneous flow exceeds the minimum flow threshold value at the set time, performing water sample collection on the wastewater intermittently discharged from the target wastewater discharge port.
And 105, detecting the currently collected water sample through an automatic water quality analyzer, and reporting the detection result to an automatic pollution source monitoring and managing platform.
As shown in fig. 4, a specific embodiment 1 in which a sampling relationship with the target wastewater discharge port is established in step 101, and after wastewater intermittently discharged from the target wastewater discharge port is obtained based on the sampling relationship is given, the flow unit, the water sample collection unit, the TN, the TP, the ammonia nitrogen, and the COD are connected to the flow trigger device, the flow trigger device is connected to the data control unit, and the station entrance guard and the video monitoring are connected to the data control unit. Specifically, the pollution source automatic monitoring management platform is connected with the site-end sampling instrument through a network, the site-end sampling instrument is connected with a flow triggering sampling and supplying device, and the flow triggering sampling and supplying device is connected with a site-end flow monitoring unit, a water sample automatic sampling unit and a water quality automatic analysis unit:
the 'flow triggering sampling sample feeder' is connected with the data sampling instrument, the flow monitoring unit, the automatic water quality sampling unit and the automatic water quality analyzing unit in a full channel. The flow, the monitoring data, the parameters, the states and the inverse control must be uploaded and transmitted to the data acquisition instrument through a flow triggering sampling and feeding device which plays a flow triggering function. The flow triggering sampling and sample feeding device is connected with the data acquisition instrument and the field end equipment. The working principle is as follows: the flow triggering sampling and sample feeding device reads the data of the flow monitoring unit, controls the automatic water quality sampler to sample water, supply samples and leave samples, and triggers the analysis unit to measure. The flow data, the monitoring data, the on-site water quality automatic sampler, the state of the water quality automatic analysis unit and the parameters are uploaded to the data acquisition instrument by a 'flow triggering acquisition sample supply device'. And the data acquisition instrument outputs the read information to the pollution source automatic monitoring management platform, and the pollution source automatic monitoring management platform displays information such as flow, data, state and the like.
Further, as shown in fig. 5, a schematic diagram including a flow trigger collection device is provided, when wastewater is discharged from a pollution source discharge port, the wastewater passes through a flowmeter to obtain instantaneous flow monitoring data, instantaneous flow is accumulated according to time and calculated, and is transmitted to a flow trigger sampler device, and the flow trigger sampler device judges instantaneous flow, and the instantaneous flow is also at time intervals, but the minimum value is calculated according to historical data by the flow trigger sampler and sends a starting signal to a water quality automatic sampler system when a threshold value of more than or equal to a minimum flow is met, and the water quality automatic sampler performs water sampling; when the effective sampling times meet the requirements, the flow triggering sampling and feeding device triggers the water quality automatic sampler to sample and triggers the water quality automatic analysis unit to measure, the water quality automatic analysis unit transmits the data of wastewater concentration monitoring to the flow triggering sampling and feeding device, and the flow triggering sampling and feeding device transmits the data to the data sampling device to realize the platform display of the final data.
In the optional embodiment of the present application, in specific embodiment 2 of obtaining the wastewater intermittently discharged from the target wastewater discharge port based on the sampling relationship, the pollution source automatic monitoring and management platform is connected to the site-end sampler through a network, the site-end sampler is connected to the flow monitoring unit, the water quality automatic sampling unit, and the water quality automatic analysis unit, the site-end sampler is connected to the "flow trigger sampler" and the "flow trigger sampler" is connected to the flow monitoring unit, the water quality automatic sampling unit, and the water quality automatic analysis unit.
In this embodiment, the "flow triggered sampling device" is divided into 2 routes, wherein 1 route is connected to the lower end device, and 1 route is connected to the upper end device. The flow triggering sampling and feeding device adopts a half-channel design, the parameters and the states of flow data, measurement data, the water quality automatic sampler and the water quality automatic analysis unit are unchanged with the transmission of the data sampler, the other path of the parameters and the states are output to the flow triggering sampling and feeding device, and the flow triggering sampling and feeding device controls the sampling, the sample feeding, the sample exceeding and sample retaining of the water quality automatic sampler and the measurement of the water quality automatic analysis instrument. The specific working principle is as follows: the flow triggering sampling and feeding device reads the data of the flowmeter, controls the automatic water quality sampler to sample water, feed and reserve samples, and triggers the automatic water quality analyzer to measure. The data acquisition instrument is responsible for reading the data of the flowmeter and the measured data, the state and the parameters of the automatic water quality analysis instrument, and simultaneously acquires the information of sampling, sample supplying and sample reserving of the flow triggering and sample supplying device and outputs the information to the automatic pollution source monitoring and management platform, and the automatic pollution source monitoring and management platform displays the information of flow, data, state, record and the like.
Further, when the waste water is discharged from a discharge port of the pollution source, the waste water passes through a flowmeter to obtain instantaneous flow monitoring data, and the instantaneous flow monitoring data is transmitted to a data acquisition instrument through a line 1 and uploaded to an automatic pollution source monitoring management platform for display and storage; meanwhile, the instantaneous flow is transmitted to a flow triggering sampling and feeding device through a line 2, the flow triggering sampling and feeding device compares and judges the instantaneous flow at set time with a minimum flow threshold value, when the requirement is met, a system sends a reverse control instruction, and a water quality automatic sampler collects water samples; when the effective sampling times meet the requirements, the flow triggering sampling and feeding device starts the water quality automatic sampler to sample and triggers the water quality automatic analysis unit to measure, and the inverse control instruction and signal transmission at the stage are sent by the flow triggering sampling and feeding device and transmitted through the line 2. The automatic water quality analysis unit transmits wastewater concentration monitoring data, states and parameters to the data acquisition instrument through a line 1, the flow trigger sampling and sample-supplying device transmits sampling, sample supplying and standard exceeding sample reserving information to the data acquisition instrument, and the data acquisition instrument uploads the data, the states, the parameters and the records to the pollution source automatic monitoring management platform to realize platform-based display of final data.
In an optional embodiment of the present application, a specific embodiment 3 of obtaining wastewater intermittently discharged from a target wastewater discharge port based on a sampling relationship is provided, the pollution source automatic monitoring and management platform is connected to the site-end sampler through a network, the site-end sampler is connected to the flow monitoring unit, the water quality automatic sampling unit, and the water quality automatic analysis unit, and the "flow trigger sampling and supply device" is connected to the flow monitoring unit, the water quality automatic sampling unit, and the water quality automatic analysis unit.
In the optional embodiment of the application, the device of the 'flow triggering sampling device' is divided into 3 paths of threads, 1 path of connection data sampling device, 1 path of connection water quality automatic sampling unit, and 1 path of connection flow monitoring unit and water quality automatic analysis unit. The flow triggering sampling and sample feeding device is connected with the data acquisition instrument in a non-channel mode, and flow data, parameter data, water quality automatic sampling, sample feeding and standard exceeding sample reserving records are transmitted with the data acquisition instrument in an original mode without passing through the flow triggering sampling and sample feeding device. The flow triggering sampling and sample feeding device is only responsible for controlling the sampling, sample feeding, overproof sample reserving and triggering the measurement of the water quality automatic analysis unit of the water quality automatic sampler, and does not provide parameters, states and data for the data acquisition instrument. The specific working principle is as follows: the flow triggering sampling and feeding device reads the data of the flowmeter, controls the sampling, sample feeding and overproof sample reserving processes of the water quality automatic sampler, and triggers the instrument to measure after the flow triggering sampling and feeding device triggers the water quality automatic sampler to feed the samples. The data acquisition instrument is responsible for reading and acquiring flowmeter data and analyzing unit measurement data, states and parameters, and simultaneously acquiring parameters, records and outputting the parameters and the records of the water quality automatic sampler to the pollution source automatic monitoring management platform, and the pollution source automatic monitoring management platform displays information such as flow, data and states.
Further, when the waste water is discharged from a discharge port of the pollution source, the waste water passes through a flowmeter to obtain instantaneous flow monitoring data, and the instantaneous flow monitoring data is transmitted to a data acquisition instrument through a line 1 and uploaded to an automatic pollution source monitoring management platform for display and storage; meanwhile, each instantaneous flow in a time interval is transmitted to a flow triggering sampler device through a line 2, the flow triggering sampler device judges flow numerical values, controls a water quality automatic sampler to sample, starts the water quality automatic sampler to supply samples and triggers a water quality automatic analysis unit to measure when effective sampling times meet requirements, the water quality automatic analysis unit transmits wastewater concentration monitoring data to a data sampler through the line 1, the data sampler uploads the data to a platform to realize the display of final data, the other path continues to be transmitted to the flow triggering sampler device, and the flow triggering sampler device judges whether the monitoring data exceed standards, and starts the water quality automatic sampler to exceed standard sample reserving process if the monitoring data exceed standards.
In conclusion, by additionally arranging the flow triggering sampling and feeding device, the instantaneous flow of the flowmeter is read in real time, whether the set time flow reaches the lowest threshold value or not is judged, and the flow lasts for a period of time, if so, the water quality sampler is triggered to sample, and the water quality analyzer is triggered to measure. The realization of the mode realizes energy saving and consumption reduction such as reagent reduction, power consumption reduction, waste liquid reduction and the like to a certain extent, and simultaneously prolongs the service life of the monitoring equipment
The minimum flow threshold is set by automatic identification and judgment through a machine learning algorithm, so that the influence of human intervention is reduced, and the intellectualization and automation are greatly improved.
As shown in fig. 6, the embodiment of the present application further provides a wastewater intermittent drain flow triggering system 200 based on a flow threshold. The system 200 includes:
the acquisition unit 201 is used for establishing a sampling relation with the target wastewater discharge port and acquiring wastewater intermittently discharged from the target wastewater discharge port based on the sampling relation;
a flow rate monitoring unit 202 for detecting an instantaneous flow rate of the wastewater intermittently discharged from the target wastewater discharge port in real time;
the trigger acquisition unit 203 is used for analyzing historical data of the target wastewater discharge port through a machine learning algorithm to determine a minimum flow threshold;
the water sample collecting unit 204 is used for collecting a water sample of the wastewater intermittently discharged from the target wastewater discharge port when the instantaneous flow exceeds the minimum flow threshold value after the set time;
an analysis unit 205 for detecting the currently collected water sample by the automatic water quality analyzer
And the data control unit 206 is configured to report the detection result to the pollution source automatic monitoring management platform.
The flow threshold-based wastewater intermittent drain flow triggering device provided by the embodiment of the application is used for realizing the flow threshold-based wastewater intermittent drain flow triggering method, and for specific limitations of the flow threshold-based wastewater intermittent drain flow triggering device, reference may be made to the limitations of the flow threshold-based wastewater intermittent drain flow triggering method in the foregoing, which are not described herein again. All parts of the wastewater intermittent drain flow triggering device based on the flow threshold value can be wholly or partially realized through software, hardware and a combination thereof. The modules may be embedded in hardware or may be independent of a processor in the device, or may be stored in a memory in the device in software, so that the processor calls and executes operations corresponding to the modules.
The technical features of the embodiments described above may be arbitrarily combined, and for the sake of brevity, all possible combinations of the technical features in the embodiments described above are not described, but should be considered as being within the scope of the present specification as long as there is no contradiction between the combinations of the technical features.
The above-mentioned embodiments only express several implementation modes of the present application, and the description thereof is specific and detailed, but not construed as limiting the scope of the claims. It should be noted that, for a person skilled in the art, several variations and modifications can be made without departing from the concept of the present application, which falls within the scope of protection of the present application. Therefore, the protection scope of the present patent shall be subject to the appended claims.
Claims (10)
1. A wastewater intermittent drain flow triggering method based on a flow threshold value is characterized by comprising the following steps:
establishing a sampling relation with a target wastewater discharge port, and acquiring wastewater intermittently discharged from the target wastewater discharge port based on the sampling relation;
detecting the instantaneous flow of the intermittently discharged wastewater of a target wastewater discharge port in real time;
analyzing historical data of a target wastewater discharge port through a machine learning algorithm to determine a minimum flow threshold;
when the set time is reached and the instantaneous flow exceeds the minimum flow threshold, carrying out water sample collection on the wastewater intermittently discharged from the target wastewater discharge port;
and detecting the currently collected water sample by using an automatic water quality analyzer, and reporting the detection result to an automatic pollution source monitoring and managing platform by using a data control unit.
2. The method of claim 1, wherein the lowest flow threshold is determined by analyzing target waste drain historical data using a machine learning algorithm, comprising:
acquiring a plurality of groups of historical flow data with time marks, and performing negative value conversion on the historical flow data to obtain a vector to be analyzed;
after the vector to be analyzed is subjected to differential calculation, stability inspection is carried out on the differential calculation result;
when the test result is stable, performing Gaussian analysis on the stable data sequence;
and sequentially carrying out reverse differential operation and negative value conversion on the Gaussian analysis result to find out a corresponding source data value, and taking the source data value as a minimum flow threshold value.
3. The method of claim 2, wherein performing a stationarity check on the difference calculation comprises:
setting autoregressive model
In the formula, mu is a translation item,αtis a trend term whenX 0 When the value is not less than 0, the reaction time is not less than 0,
；
calculating in autoregressive models by selecting DF or ADF statistics according to preset selection rulesβ；
When the oxygen deficiency is reachedβWhen the absolute value is less than 1, the reaction solution is mixed,X t is smooth when no blood countβWhen the value of | =1,X t is non-stationary;
and according to the formula
And calculating and comparing the used samples, and if the DF is less than or equal to a critical value, representing the samples as a stable sequence.
4. The method of claim 3, wherein the predetermined selection rule includes selecting DF test for lags only including one order in the univariate model; when higher order lag terms are included in the model, ADF test is selected.
5. The method of claim 2, wherein when the test result is stationary, performing a gaussian analysis on the stationary data sequence comprises according to the formula:
determining the result of the gaussian analysis, wherein,nin order to perform the differentiation for the number of times,µto expected value, σ is the standard deviation, σ 2 Is the variance.
6. The method of claim 2, wherein sequentially performing inverse difference operation and negative value transformation on the gaussian analysis result to find a corresponding source data value, and taking the source data value as a minimum flow threshold value comprises, according to a formula:
a source data value is determined, wherein,x 1 ,x 2 …x t the historical flow data after the time series is converted by negative values,
negative value conversion results are performed for each historical flow data,mis the value corresponding to the lowest threshold value，x m Is the lowest flow rate threshold value and is,
in order to be a first-order difference vector,Ynegative conversion results.
7. The method according to claim 2, wherein when the test result is unstable, the vector after the differential calculation of the vector to be analyzed is further subjected to the differential calculation, and the stability test is performed.
8. The method of claim 1, wherein sampling the water from the wastewater intermittently discharged from the target wastewater discharge port when the instantaneous flow rate exceeds a minimum flow rate threshold, further comprising:
collecting waste water intermittently discharged from a target waste water discharge port according to a preset time interval; and when the effective sampling times in the unit time period are more than or equal to the set sampling times, triggering the automatic water quality analyzer to detect the currently collected water sample through the switching value signal, and reporting the detection result.
9. The method of claim 1, further comprising:
and uploading the instantaneous flow, the accumulated flow and the corresponding detection result of the wastewater intermittently discharged from the target wastewater discharge port to an automatic pollution source monitoring and managing platform for analysis.
10. A wastewater intermittent drain flow triggering device based on a flow threshold, the device comprising:
the acquisition unit is used for establishing a sampling relation with the target wastewater discharge port and acquiring the intermittently discharged wastewater of the target wastewater discharge port based on the sampling relation;
the flow monitoring unit is used for detecting the instantaneous flow of the wastewater intermittently discharged from the target wastewater discharge port in real time;
the trigger acquisition unit is used for analyzing historical data of the target wastewater discharge port through a machine learning algorithm to determine a minimum flow threshold value;
the water sample collection unit is used for collecting a water sample of the wastewater intermittently discharged from the target wastewater discharge port when the instantaneous flow exceeds a minimum flow threshold value at a set time;
the analysis unit is used for detecting the currently collected water sample through the automatic water quality analysis instrument;
and the data control unit is used for reporting the detection result to the automatic pollution source monitoring and managing platform.
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