CN116451884A - Water quality environment detection system and method based on wastewater treatment data - Google Patents
Water quality environment detection system and method based on wastewater treatment data Download PDFInfo
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Abstract
The invention discloses a water quality environment detection system and a water quality environment detection method based on wastewater treatment data, wherein the water quality environment detection system comprises the following steps: the system comprises a water quality environment detection module, a data receiving center, a detection data acquisition module, a detection data analysis module and a water quality detection management module, wherein the water quality environment detection module detects the water quality of wastewater through a water quality detector, and the detection data acquisition module acquires historical detection data: the water quality detection time, the cleaning time of the water quality detector and the network breakage fault information are received and stored through the data receiving center, the cleaning effective degree of the cleaning time of the water quality detector and the reissue effective degree of reissue of the water quality data after the network breakage is maintained for different time periods which are set in the past are analyzed through the detection data analysis module, the optimal cleaning time of the water quality detector is selected through the water quality detection management module, the water quality secondary detection is planned, invalid transmission of the water quality data is reduced, and the reduction of the accuracy of detection results is avoided.
Description
Technical Field
The invention relates to the technical field of water quality environment detection, in particular to a water quality environment detection system and method based on wastewater treatment data.
Background
With the continuous development of the age, the related problems such as wastewater treatment and water quality detection are more and more emphasized, the water quality environment detection refers to the unified timing or non-timing detection of chemical substances, suspended matters, bottom mud and water ecology systems in water, the monitoring and determination of the types, the concentrations and the variation trend of pollutants in the water, the evaluation of water quality conditions and other works, and the water quality detection plays a vital role in the aspects of protecting the whole water environment, controlling the water pollution and maintaining the water environment health;
however, the conventional water quality detection method has the following problems: firstly, when the water quality detector is used for detecting the water quality, a sampling device of the water quality detector cannot be cleaned in time, so that the water quality detector cannot work normally due to blockage, and even the accuracy of a detection result is reduced; secondly, the water quality detector can carry out automatic data reissue after the occurrence of the network failure, and as the effectiveness of water quality detection data is important, invalid data possibly exist in the reissued water quality data, secondary detection is needed to reduce the influence of the network failure on the data, the conventional water quality detection mode cannot plan the secondary detection time of the water quality, and the accuracy of the water quality detection data cannot be improved.
Therefore, there is a need for a water quality environmental detection system and method based on wastewater treatment data to solve the above problems.
Disclosure of Invention
The invention aims to provide a water quality environment detection system and a water quality environment detection method based on wastewater treatment data, so as to solve the problems in the background technology.
In order to solve the technical problems, the invention provides the following technical scheme: a water quality environment detection system based on wastewater treatment data, the system comprising: the system comprises a water quality environment detection module, a data receiving center, a detection data acquisition module, a detection data analysis module and a water quality detection management module;
the water quality environment detection module detects the water quality of the wastewater through a water quality detector, and collects and transmits water quality data to the data receiving center;
and collecting historical detection data through the detection data collecting module: the water quality detection time, the cleaning time of the water quality detector and the network failure information are transmitted to the data receiving center;
receiving and storing water quality data and history detection data through the data receiving center;
analyzing the cleaning effective degree of the cleaning time of the water quality detector and the repairing effective degree of repairing the water quality data after the broken network maintains different time periods, which are set in the past, by the detection data analysis module;
and selecting the optimal cleaning time of the water quality detector by the water quality detection management module and planning the secondary detection of the water quality.
Further, the water quality environment detection module comprises a water quality data acquisition unit and a water quality data transmission unit, wherein the water quality data acquisition unit is used for detecting the water quality environment by using a water quality detector and acquiring water quality data; the water quality data transmission unit is used for transmitting the collected water quality data to the data receiving center.
Further, the detection data acquisition module comprises a detection time acquisition unit, a cleaning information acquisition unit and a fault data acquisition unit, wherein the detection time acquisition unit is used for acquiring sampling interval time data of the set water quality detector; the cleaning information acquisition unit is used for acquiring interval time data for cleaning the water quality detector in the past; the fault data acquisition unit is used for acquiring the number of the reissue samples of the water quality data, the network disconnection maintaining time length data and the screened information of the water quality data which are reissued to the data receiving center after the network disconnection in the past, and transmitting all the acquired data to the data receiving center.
Further, the detection data analysis module comprises a cleaning effective analysis unit and a reissuing effective analysis unit, wherein the cleaning effective analysis unit is used for calling interval time data for cleaning the water quality detector in the past and analyzing and setting the cleaning effective degree of cleaning the water quality detector corresponding to the interval time; the reissue effective analysis unit is used for calling reissue sample number of water quality data reissued to the data receiving center after the network is disconnected, network disconnection maintaining time length data and screened out information of the water quality data: and analyzing the number of the screened samples, and performing water quality data reissue after network disconnection.
Further, the water quality detection management module comprises a cleaning time selection unit and a secondary detection planning unit, wherein the cleaning time selection unit is used for; and selecting the optimal cleaning time to clean the water quality detector according to the cleaning effective degree, wherein the secondary detection planning unit is used for acquiring the duration of the current broken network maintenance, predicting the benefit effective degree of the current benefit water quality data, and comparing the predicted benefit effective degree with a benefit effective degree threshold value: if the predicted reissue effectiveness degree is lower than the reissue effectiveness degree threshold, planning to carry out secondary detection on the water quality.
A water quality environment detection method based on wastewater treatment data comprises the following steps:
z01: detecting the water quality of the wastewater by using a water quality detector and collecting water quality data;
z02: collecting historical detection data: water quality detection time, water quality detector cleaning time and network failure information;
z03: analyzing the cleaning effective degree of the cleaning time of the water quality detector which is set in the past, and selecting the optimal cleaning time to clean the water quality detector;
z04: analyzing a reissue effective degree threshold value of reissue of water quality data after maintaining different time periods of the disconnected network;
z05: and after the network failure occurs, acquiring the network failure maintaining time length and planning to carry out secondary detection on the water quality.
Further, in step Z02: the interval time set that gathers in the past clear up water quality detector is T = { T1, T2, …, tn }, and wherein, n represents the interval time item number that sets up clear up water quality detector, when the interval time that clear up water quality detector is Ti: the set of deviation values between the collected sample water quality index and the actual sample water quality index is r= { R1, R2, …, rm }, where m represents the sampling times, no new wastewater is discharged in the m sampling processes, and in step Z03: the cleaning effectiveness degree when the cleaning interval time is set as Ti is si:wherein Rj represents a deviation value between a sample water quality index and an actual sample water quality index which are randomly collected at one time, a cleaning effective degree set for cleaning different interval time of a water quality detector is s= { s1, s2, …, si, …, sn }, and a cleaning interval time prediction model is set, wherein the cleaning effective degree set is obtained through the same calculation mode: y=c1x+c2, where C1 and C2 represent clean-up interval time prediction model coefficients, model coefficients C1 and C2 are calculated according to the following formula, respectively:
；
；
selecting the optimal cleaning time to clean the current water quality detector: the cleaning interval time of the water quality detector which is currently set is T ’ Obtaining the predicted value of the cleaning effectiveness degree as s ’ ：Obtaining the actual cleaning effective degree as S, and calculating the optimal cleaning interval time T according to the following formula Jiajia (good) ：
；
Setting an interval time T Jiajia (good) The current water quality detector is cleaned regularly, when the cleaning interval time of the water quality detector is set in the past through collecting historical data and analyzing the difference between the collected sample data and actual data, the smaller the difference is, the higher the cleaning effective degree is, the cleaning interval time prediction model is built according to the historical data, the association degree between different cleaning interval time and the cleaning effective degree is analyzed, the rationality of the cleaning interval time of the different water quality detectors is detected, the optimal cleaning interval time of the water quality detector is selected, the water quality detector is cleaned in proper time, the blocking phenomenon is reduced, and meanwhile, the reduction of the accuracy of a detection result is avoided.
Further, in step Z04: the method comprises the steps of collecting that when the traditional network breaking faults occur, the network breaking maintenance time length set is t= { t1, t2, …, tk }, wherein k represents the network breaking fault times, and the sampling time interval of the water quality detector is t Transmission device After the network is disconnected, the water quality data are reissued, and the reissued water quality data are obtained: the number of the screened water quality samples is A= { A1, A2, …, ak }, and the reiteration effective degree Qi for reiterating the water quality data after the network failure occurs at random once is calculated according to the following formula:
；
the complementary significance set was found to be q= { Q1, Q2, …, qi, …, qk }, according to the formulaCalculating to obtain the complementary effective degree threshold value Q Threshold value 。
Further, in step Z05: in case of broken netAfter the obstacle is overcome, the current broken network maintaining time length is t ’ The data points { (t 1, Q1), (t 2, Q2), …, (tk, qk) } were fitted straight by using the least squares method to obtain a fitting function of: y=ax+b, where a and b represent fitting coefficients, t ’ Substituting the fitting function to obtain the predicted reissue effective degree Q ’ ：Comparison of Q ’ And Q Threshold value : if Q ’ ≥Q Threshold value The predicted reissue effectiveness degree is not lower than the reissue effectiveness degree threshold, and the water quality is judged not to need to be detected for the second time; if Q ’ <Q Threshold value The method has the advantages that the predicted reissue effectiveness degree is lower than the reissue effectiveness degree threshold, the water quality is secondarily detected, the effectiveness degree of data reissue after the network failure occurs in the past is analyzed, the effectiveness degree of reissue data when the network failure maintenance time is different is predicted by analyzing the data of the effectiveness degree change caused by the change of the network failure maintenance time, the secondary detection of the water quality is facilitated when the effectiveness degree of reissue data is predicted to be low, the ineffective transmission of the water quality data is reduced, and the accuracy of the water quality detection data is further improved.
Compared with the prior art, the invention has the following beneficial effects:
according to the invention, by collecting historical data and analyzing the difference between the collected sample data and actual data when the cleaning interval time of the water quality detector is set in the past, the cleaning interval time prediction model is established according to the historical data, so that the rationality of detecting the cleaning interval time of different water quality detectors which are set later is facilitated, the optimal cleaning interval time of the water quality detector is selected, the water quality detector is cleaned at a proper time, the blocking phenomenon of the water quality detector is reduced, and meanwhile, the reduction of the accuracy of a detection result is avoided; the effective degree of data reissue after the network failure occurs in the past is analyzed, the effective degree of reissue data when the network failure maintaining time is different is predicted by analyzing the data of effective degree change caused by the change of the network failure maintaining time, and the water quality is secondarily detected when the reissue data effective degree is predicted to be low, so that the ineffective transmission of the water quality data is reduced, and the accuracy of the water quality detection data is further improved.
Drawings
The accompanying drawings are included to provide a further understanding of the invention and are incorporated in and constitute a part of this specification, illustrate the invention and together with the embodiments of the invention, serve to explain the invention. In the drawings:
FIG. 1 is a block diagram of a water quality environmental detection system based on wastewater treatment data in accordance with the present invention;
FIG. 2 is a flow chart of a water quality environment detection method based on wastewater treatment data according to the present invention.
Detailed Description
The preferred embodiments of the present invention will be described below with reference to the accompanying drawings, it being understood that the preferred embodiments described herein are for illustration and explanation of the present invention only, and are not intended to limit the present invention.
Referring to fig. 1-2, the present invention provides the following technical solutions: a water quality environment detection system based on wastewater treatment data, the system comprising: the system comprises a water quality environment detection module, a data receiving center, a detection data acquisition module, a detection data analysis module and a water quality detection management module;
the water quality environment detection module detects the water quality of the wastewater through a water quality detector, and collects and transmits water quality data to a data receiving center;
historical detection data are collected through a detection data collection module: the water quality detection time, the cleaning time of the water quality detector and the network failure information are transmitted to a data receiving center;
receiving and storing water quality data and history detection data through a data receiving center;
analyzing the cleaning effective degree of the cleaning time of the water quality detector and the concurrent effective degree of concurrent water quality data after the network breaking is maintained for different time periods through a detection data analysis module;
and selecting the optimal cleaning time of the water quality detector through the water quality detection management module and planning the secondary detection of the water quality.
The water quality environment detection module comprises a water quality data acquisition unit and a water quality data transmission unit, wherein the water quality data acquisition unit is used for detecting the water quality environment by using a water quality detector and acquiring water quality data; the water quality data transmission unit is used for transmitting the collected water quality data to the data receiving center.
The detection data acquisition module comprises a detection time acquisition unit, a cleaning information acquisition unit and a fault data acquisition unit, wherein the detection time acquisition unit is used for acquiring sampling interval time data of the set water quality detector; the cleaning information acquisition unit is used for acquiring interval time data for cleaning the water quality detector in the past; the fault data acquisition unit is used for acquiring the number of the reissue samples of the water quality data, the maintenance duration data of the disconnected network and the screened information of the water quality data, which are reissued to the data receiving center after the disconnected network in the past, and transmitting all the acquired data to the data receiving center.
The detection data analysis module comprises a cleaning effective analysis unit and a reissuing effective analysis unit, wherein the cleaning effective analysis unit is used for calling interval time data for cleaning the water quality detector in the past and analyzing and setting the cleaning effective degree of cleaning the water quality detector corresponding to the interval time; the reissue effective analysis unit is used for calling reissue sample number of water quality data reissued to the data receiving center after the network is disconnected, network disconnection maintaining time length data and screened out information of the water quality data: and analyzing the number of the screened samples, and performing water quality data reissue after network disconnection.
The water quality detection management module comprises a cleaning time selection unit and a secondary detection planning unit, wherein the cleaning time selection unit is used for; the optimal cleaning time is selected according to the cleaning effectiveness degree to clean the water quality detector, the secondary detection planning unit is used for obtaining the duration of the current broken network maintenance, predicting the benefit effectiveness degree of the current benefit water quality data, and comparing the predicted benefit effectiveness degree with a benefit effectiveness degree threshold value: if the predicted reissue effectiveness degree is lower than the reissue effectiveness degree threshold, planning to carry out secondary detection on the water quality.
A water quality environment detection method based on wastewater treatment data comprises the following steps:
z01: detecting the water quality of the wastewater by using a water quality detector and collecting water quality data;
z02: collecting historical detection data: water quality detection time, water quality detector cleaning time and network failure information;
z03: analyzing the cleaning effective degree of the cleaning time of the water quality detector which is set in the past, and selecting the optimal cleaning time to clean the water quality detector;
z04: analyzing a reissue effective degree threshold value of reissue of water quality data after maintaining different time periods of the disconnected network;
z05: and after the network failure occurs, acquiring the network failure maintaining time length and planning to carry out secondary detection on the water quality.
In step Z02: the interval time set that gathers in the past clear up water quality detector is T = { T1, T2, …, tn }, and wherein, n represents the interval time item number that sets up clear up water quality detector, when the interval time that clear up water quality detector is Ti: the set of deviation values between the collected sample water quality index and the actual sample water quality index is r= { R1, R2, …, rm }, where m represents the sampling times, no new wastewater is discharged in the m sampling processes, and in step Z03: the cleaning effectiveness degree when the cleaning interval time is set as Ti is si:wherein Rj represents a deviation value between a sample water quality index and an actual sample water quality index which are randomly collected at one time, a cleaning effective degree set for cleaning different interval time of a water quality detector is s= { s1, s2, …, si, …, sn }, and a cleaning interval time prediction model is set, wherein the cleaning effective degree set is obtained through the same calculation mode: y=c1x+c2, where C1 and C2 represent clean-up interval time prediction model coefficients, model coefficients C1 and C2 are calculated according to the following formula, respectively:
；
；
selecting the optimal cleaning time to clean the current water quality detector: the cleaning interval time of the water quality detector which is currently set is T ’ Obtaining the predicted value of the cleaning effectiveness degree as s ’ ：Obtaining the actual cleaning effective degree as S, and calculating the optimal cleaning interval time T according to the following formula Jiajia (good) ：
；
Setting an interval time T Jiajia (good) The current water quality detector is cleaned regularly, the water quality index refers to the turbidity of water, the water quality detector is cleaned at proper time, the blocking phenomenon of the water quality detector is reduced, and meanwhile, the reduction of the accuracy of a detection result is avoided.
In step Z04: the method comprises the steps of collecting that when the traditional network breaking faults occur, the network breaking maintenance time length set is t= { t1, t2, …, tk }, wherein k represents the network breaking fault times, and the sampling time interval of the water quality detector is t Transmission device After the network is disconnected, the water quality data are reissued, and the reissued water quality data are obtained: the number of the screened water quality samples is A= { A1, A2, …, ak }, and the reiteration effective degree Qi for reiterating the water quality data after the network failure occurs at random once is calculated according to the following formula:
；
the complementary significance set was found to be q= { Q1, Q2, …, qi, …, qk }, according to the formulaCalculating to obtain the complementary effective degree threshold value Q Threshold value 。
In step Z05: after the network breaking fault occurs, the current network breaking maintaining time length is obtained to be t ’ Data points { (t 1, Q) using least squares1) (t 2, Q2), …, (tk, qk) } performing a straight line fit to obtain a fit function of: y=ax+b, where a and b represent fitting coefficients, t ’ Substituting the fitting function to obtain the predicted reissue effective degree Q ’ ：Comparison of Q ’ And Q Threshold value : if Q ’ ≥Q Threshold value The predicted reissue effectiveness degree is not lower than the reissue effectiveness degree threshold, and the water quality is judged not to need to be detected for the second time; if Q ’ <Q Threshold value The method has the advantages that the predicted reissue effective degree is lower than the reissue effective degree threshold, the water quality is secondarily detected when the reissue data effective degree is predicted to be low, invalid transmission of the water quality data is reduced, and the accuracy of the water quality detection data is further improved.
Embodiment one: the interval time set for cleaning the water quality detector in the past is acquired as T= { T1, T2, T3} = {3,5,2}, and the unit is: day/time, when the interval time for cleaning the water quality detector is t1=3: the deviation value set between the collected sample water quality index and the actual sample water quality index is R= { R1, R2, R3} = {0.5,0.1,0.2}, and the cleaning effectiveness degree when the cleaning interval time is T1=3 is set as si:the cleaning effective degree set for cleaning the water quality detector by setting different interval time is s= { s1, s2, s3} = {3.75,2.02,3.98}, and a cleaning interval time prediction model is set: y=c1x+c2, according to the formulaAnd->Model coefficients C1 and C2 are calculated separately: c1 is approximately equal to-0.7, C2 is approximately equal to 5.6, and the current water quality detector is cleaned by selecting the optimal cleaning time: the cleaning interval time of the water quality detector which is currently set is T ’ =2.5, giveThe cleaning effectiveness prediction value is s ’ ：/>The actual cleaning effectiveness level is obtained as s=3.9 @, @>，/>Setting an interval time T Jiajia (good) Current water quality detector was cleaned regularly =2: cleaning a water quality detector every two days;
embodiment two: the method comprises the following steps of collecting that when the network disconnection fault occurs in the past, the network disconnection maintaining time length set is t= { t1, t2, t3} = {2,1,0.8}, wherein the units are as follows: the sampling time interval of the water quality detector is t Transmission device Water quality samples were collected every 0.2 day, and after the disconnection, water quality data was reissued, and the water quality data in reissued were obtained: the number of water quality samples to be screened out is set as A= { A1, A2, A3} = {5,3,1}, according to the formulaObtaining the complementary effective degree set as Q= { Q1, Q2, Q3} = {2,1.7,4}, according to the formula +.>Calculating to obtain the complementary effective degree threshold value Q Threshold value After occurrence of the network disconnection fault, the current network disconnection maintaining time length is obtained to be t ’ =0.5, the data points { (t 1, Q1), (t 2, Q2), (t 3, Q3) } were fitted straight by using the least squares method to obtain a fitting function of: y=ax+b,/d>，Will t ’ Substituting the fitting function to obtain the predicted reissue effective degree Q ’ ：Comparison of Q ’ And Q Threshold value ：Q ’ <Q Threshold value And the predicted reissue effectiveness degree is lower than a reissue effectiveness degree threshold value, and the water quality is secondarily detected.
Finally, it should be noted that: the foregoing is merely a preferred example of the present invention, and the present invention is not limited thereto, but it is to be understood that modifications and equivalents of some of the technical features described in the foregoing embodiments may be made by those skilled in the art, although the present invention has been described in detail with reference to the foregoing embodiments. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present invention should be included in the protection scope of the present invention.
Claims (9)
1. A water quality environment detecting system based on wastewater treatment data is characterized in that: the system comprises: the system comprises a water quality environment detection module, a data receiving center, a detection data acquisition module, a detection data analysis module and a water quality detection management module;
the water quality environment detection module detects the water quality of the wastewater through a water quality detector, and collects and transmits water quality data to the data receiving center;
and collecting historical detection data through the detection data collecting module: the water quality detection time, the cleaning time of the water quality detector and the network failure information are transmitted to the data receiving center;
receiving and storing water quality data and history detection data through the data receiving center;
analyzing the cleaning effective degree of the cleaning time of the water quality detector and the repairing effective degree of repairing the water quality data after the broken network maintains different time periods, which are set in the past, by the detection data analysis module;
and selecting the optimal cleaning time of the water quality detector by the water quality detection management module and planning the secondary detection of the water quality.
2. A water quality environment detection system based on wastewater treatment data as claimed in claim 1, wherein: the water quality environment detection module comprises a water quality data acquisition unit and a water quality data transmission unit, wherein the water quality data acquisition unit is used for detecting the water quality environment by using a water quality detector and acquiring water quality data; the water quality data transmission unit is used for transmitting the collected water quality data to the data receiving center.
3. A water quality environment detection system based on wastewater treatment data as claimed in claim 1, wherein: the detection data acquisition module comprises a detection time acquisition unit, a cleaning information acquisition unit and a fault data acquisition unit, wherein the detection time acquisition unit is used for acquiring sampling interval time data of the set water quality detector; the cleaning information acquisition unit is used for acquiring interval time data for cleaning the water quality detector in the past; the fault data acquisition unit is used for acquiring the number of the reissue samples of the water quality data, the network disconnection maintaining time length data and the screened information of the water quality data which are reissued to the data receiving center after the network disconnection in the past, and transmitting all the acquired data to the data receiving center.
4. A water quality environment detection system based on wastewater treatment data as claimed in claim 1, wherein: the detection data analysis module comprises a cleaning effective analysis unit and a reissuing effective analysis unit, wherein the cleaning effective analysis unit is used for calling interval time data for cleaning the water quality detector in the past and analyzing and setting the cleaning effective degree of cleaning the water quality detector corresponding to the interval time; the reissue effective analysis unit is used for calling reissue sample number of water quality data reissued to the data receiving center after the network is disconnected, network disconnection maintaining time length data and screened out information of the water quality data: and analyzing the number of the screened samples, and performing water quality data reissue after network disconnection.
5. The wastewater treatment data-based water quality environment detection system of claim 4, wherein: the water quality detection management module comprises a cleaning time selection unit and a secondary detection planning unit, wherein the cleaning time selection unit is used for; and selecting the optimal cleaning time to clean the water quality detector according to the cleaning effective degree, wherein the secondary detection planning unit is used for acquiring the duration of the current broken network maintenance, predicting the benefit effective degree of the current benefit water quality data, and comparing the predicted benefit effective degree with a benefit effective degree threshold value: if the predicted reissue effectiveness degree is lower than the reissue effectiveness degree threshold, planning to carry out secondary detection on the water quality.
6. A water quality environment detection method based on wastewater treatment data is characterized in that: the method comprises the following steps:
z01: detecting the water quality of the wastewater by using a water quality detector and collecting water quality data;
z02: collecting historical detection data: water quality detection time, water quality detector cleaning time and network failure information;
z03: analyzing the cleaning effective degree of the cleaning time of the water quality detector which is set in the past, and selecting the optimal cleaning time to clean the water quality detector;
z04: analyzing a reissue effective degree threshold value of reissue of water quality data after maintaining different time periods of the disconnected network;
z05: and after the network failure occurs, acquiring the network failure maintaining time length and planning to carry out secondary detection on the water quality.
7. The water quality environment detection method based on wastewater treatment data according to claim 6, wherein the method comprises the following steps: in step Z02: the interval time set that gathers in the past clear up water quality detector is T = { T1, T2, …, tn }, and wherein, n represents the interval time item number that sets up clear up water quality detector, when the interval time that clear up water quality detector is Ti: the set of deviation values between the collected sample water quality index and the actual sample water quality index is r= { R1, R2, …, rm }, where m represents the sampling times, no new wastewater is discharged in the m sampling processes, and in step Z03: the obtaining deviceThe cleaning effectiveness degree when the cleaning interval time is Ti is si:wherein Rj represents a deviation value between a sample water quality index and an actual sample water quality index which are randomly collected at one time, a cleaning effective degree set for cleaning different interval time of a water quality detector is s= { s1, s2, …, si, …, sn }, and a cleaning interval time prediction model is set, wherein the cleaning effective degree set is obtained through the same calculation mode: y=c1x+c2, where C1 and C2 represent clean-up interval time prediction model coefficients, model coefficients C1 and C2 are calculated according to the following formula, respectively:
；
；
selecting the optimal cleaning time to clean the current water quality detector: the cleaning interval time of the water quality detector which is currently set is T ’ Obtaining the predicted value of the cleaning effectiveness degree as s ’ ：Obtaining the actual cleaning effective degree as S, and calculating the optimal cleaning interval time T according to the following formula Jiajia (good) ：
；
Setting an interval time T Jiajia (good) And (5) cleaning the current water quality detector regularly.
8. The water quality environment detection method based on wastewater treatment data according to claim 6, wherein the method comprises the following steps: in step Z04: the method comprises the steps of collecting that when the network break fault occurs in the past, the network break maintaining time length set is t= { t1, t2, …, tk }, wherein k represents the network breakThe times of network faults, and the sampling time interval for collecting the water quality detector is t Transmission device After the network is disconnected, the water quality data are reissued, and the reissued water quality data are obtained: the number of the screened water quality samples is A= { A1, A2, …, ak }, and the reiteration effective degree Qi for reiterating the water quality data after the network failure occurs at random once is calculated according to the following formula:
；
the complementary significance set was found to be q= { Q1, Q2, …, qi, …, qk }, according to the formulaCalculating to obtain the complementary effective degree threshold value Q Threshold value 。
9. The water quality environment detection method based on wastewater treatment data according to claim 8, wherein: in step Z05: after the network breaking fault occurs, the current network breaking maintaining time length is obtained to be t ’ The data points { (t 1, Q1), (t 2, Q2), …, (tk, qk) } were fitted straight by using the least squares method to obtain a fitting function of: y=ax+b, where a and b represent fitting coefficients, t ’ Substituting the fitting function to obtain the predicted reissue effective degree Q ’ ：Comparison of Q ’ And Q Threshold value : if Q ’ ≥Q Threshold value The predicted reissue effectiveness degree is not lower than the reissue effectiveness degree threshold, and the water quality is judged not to need to be detected for the second time; if Q ’ <Q Threshold value And the predicted reissue effectiveness degree is lower than a reissue effectiveness degree threshold value, and the water quality is secondarily detected.
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