CN117865260A - Multistage purification treatment device for sewage station - Google Patents
Multistage purification treatment device for sewage station Download PDFInfo
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- 238000000746 purification Methods 0.000 title claims abstract description 49
- 239000010865 sewage Substances 0.000 title claims abstract description 31
- XLYOFNOQVPJJNP-UHFFFAOYSA-N water Substances O XLYOFNOQVPJJNP-UHFFFAOYSA-N 0.000 claims abstract description 92
- 238000004062 sedimentation Methods 0.000 claims abstract description 59
- 238000012544 monitoring process Methods 0.000 claims abstract description 44
- 230000002159 abnormal effect Effects 0.000 claims description 20
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- 238000006243 chemical reaction Methods 0.000 claims description 10
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- 238000000034 method Methods 0.000 description 9
- 230000008569 process Effects 0.000 description 5
- 238000001556 precipitation Methods 0.000 description 4
- 230000001105 regulatory effect Effects 0.000 description 4
- 239000010802 sludge Substances 0.000 description 4
- 230000001276 controlling effect Effects 0.000 description 3
- 238000010606 normalization Methods 0.000 description 3
- 230000005856 abnormality Effects 0.000 description 2
- 230000001550 time effect Effects 0.000 description 2
- 238000005273 aeration Methods 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
- 238000005352 clarification Methods 0.000 description 1
- 239000000084 colloidal system Substances 0.000 description 1
- 230000001419 dependent effect Effects 0.000 description 1
- 238000001514 detection method Methods 0.000 description 1
- 238000007599 discharging Methods 0.000 description 1
- 230000000737 periodic effect Effects 0.000 description 1
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Abstract
The invention relates to the technical field of water quality data purification regulation and control, in particular to a multi-stage purification treatment device for a sewage station. The device comprises an acquisition module, a calculation module and a calculation module, wherein the acquisition module is used for acquiring turbidity data and fitting to obtain a turbidity curve; the period analysis module is used for determining a turbidity period term and a period value of each turbidity curve; dividing the turbidity period term into a regular section and a trend section according to the similar distribution condition of the turbidity period term after division under different period values; the dynamic time analysis module is used for determining the hysteresis consistency of the two turbidity curves according to the number of regular segments and trend segments of the two turbidity curves and the dynamic time regular matching relation; and the regulation and control module is used for determining a water quality monitoring consistency result according to the hysteresis consistency of the turbidity curves corresponding to the highly adjacent turbidity data and carrying out purification regulation and control on the secondary sedimentation tank according to the water quality monitoring consistency result. Can realize the effective purification regulation and control of the secondary sedimentation tank, enhance the stability of sewage discharge and improve the reliability of sewage discharge quality.
Description
Technical Field
The invention relates to the technical field of water quality data purification regulation and control, in particular to a multi-stage purification treatment device for a sewage station.
Background
In the existing multi-stage purification treatment device of the sewage station, the secondary sedimentation tank has the function of settling sludge generated after biological treatment, further separating qualified sewage from bottom accumulated sludge and discharging the qualified sewage, so that the water quality data is required to be controlled and regulated in the purification process, and the purification treatment effect of the secondary sedimentation tank is ensured.
In the related art, turbidity is supervised and managed at a water outlet, whether drainage is carried out is judged according to whether the turbidity at the water outlet reaches a discharge standard or not, and a purification process of the secondary sedimentation tank is realized.
Disclosure of Invention
In order to solve the technical problems that in the related art, the purification analysis of the secondary sedimentation tank is carried out only according to the turbidity at the water outlet position, the phenomenon that the integral sedimentation effect of the secondary sedimentation tank is abnormal is easy to cause, the purification regulation and control capability of the secondary sedimentation tank is poor, the stability of the sewage discharge of the secondary sedimentation tank is poor, and the quality reliability of the sewage discharge is low, the invention provides a multi-stage purification treatment device of a sewage station, which adopts the following technical scheme:
the invention provides a sewage station multistage purification treatment device, which divides a secondary sedimentation tank into at least two height areas according to the height, and turbidity sensors are respectively arranged in each height area, and the device comprises:
the acquisition module is used for acquiring turbidity data periodically acquired by each turbidity sensor in a fixed time period, and performing curve fitting on all the turbidity data acquired by each turbidity sensor according to a time sequence to acquire a turbidity curve;
the period analysis module is used for carrying out time sequence decomposition on the turbidity curves and determining turbidity period items corresponding to each turbidity curve respectively; performing frequency domain conversion on the turbidity period items, and determining a period value corresponding to each turbidity period item; dividing the turbidity period items based on the period value corresponding to each turbidity period item, and dividing the turbidity period items into regular segments and trend segments according to the similar distribution condition of the turbidity period items after division under different period values;
the dynamic time analysis module is used for carrying out dynamic time warping processing on any two turbidity curves, determining a matching relation corresponding to the any two turbidity curves, and determining the hysteresis consistency of the two turbidity curves according to the number of regular segments and trend segments of the two turbidity curves and the matching relation;
and the regulation and control module is used for determining a water quality monitoring consistency result according to the hysteresis consistency of the turbidity curves corresponding to the highly adjacent turbidity data and carrying out purification regulation and control on the secondary sedimentation tank according to the water quality monitoring consistency result.
Further, the performing frequency domain conversion on the turbidity period term, and determining a period value corresponding to each turbidity period term includes:
converting the turbidity period term into a frequency domain space based on Fourier transformation to obtain a turbidity spectrogram;
and taking the reciprocal of the frequency corresponding to each amplitude value in the turbidity spectrogram as the period value corresponding to the turbidity period item.
Further, the dividing the turbidity period item based on the period value corresponding to each turbidity period item, and dividing the turbidity period item into a regular section and a trend section according to the similar distribution condition of the turbidity period item after the division under different period values, including:
taking each period value as a period length, respectively carrying out average division on the turbidity period items to obtain dividing points corresponding to each period value, and taking a time sequence interval of the turbidity period items spaced by two adjacent dividing points as a first period section of the corresponding period value;
determining a first similarity coefficient of each first period according to the similarity degree of any first period corresponding to the same period value and all other first periods;
dividing the turbidity period item according to the dividing points corresponding to all period values to obtain second period sections, taking any second period section as a to-be-measured section, determining second similar coefficients of the to-be-measured section according to first similar coefficients of all first period sections comprising the to-be-measured section, and dividing all second period sections into regular sections and trend sections according to the second similar coefficients.
Further, determining the first similarity coefficient of each first period according to the similarity degree between any one of the first period and all other first period corresponding to the same period value includes:
taking any first period section corresponding to the same period value as an analysis period section, and taking other first period sections with the same period value as constant period sections;
based on a cosine similarity algorithm, calculating cosine similarity values of the analysis period section and all the same-value period sections to obtain analysis similarity between the analysis period section and each same-value period section respectively;
determining the reciprocal of the time sequence distance between the analysis period section and each constant value period section as the time influence weight of the corresponding analysis period section and the constant value period section;
calculating the product of the time influence weight and the analysis similarity as a similarity factor of the analysis period section and the corresponding equal-value period section, taking the normalized value of the sum of all the similarity factors as a first similarity coefficient of the analysis period section, and adjusting the analysis period section to obtain the first similarity coefficient of each first period section.
Further, the determining the second similarity coefficient of the to-be-measured segment according to the first similarity coefficients of all the first period segments including the to-be-measured segment includes:
and taking all the first period sections containing the section to be measured as target sections, and calculating the average value of the first similarity coefficients of all the target sections as the second similarity coefficients of the section to be measured.
Further, the dividing all second period segments into regular segments and trend segments according to the second similarity coefficient includes:
taking a second period section with the second similarity coefficient larger than a preset similarity coefficient threshold value as a regular section;
and taking the second period section with the second similarity coefficient smaller than or equal to a preset similarity coefficient threshold value as a trend section.
Further, the dynamic time warping processing is performed on any two turbidity curves, and the determining of the matching relationship corresponding to any two turbidity curves includes:
performing dynamic time warping processing on any two turbidity curves based on a dynamic time warping algorithm to obtain a dynamic time matching diagram;
and determining a matching relationship according to the matching result of the data points of the two turbidity curves in the dynamic time matching graph, wherein the matching relationship comprises a one-to-one relationship, a one-to-many relationship and a many-to-one relationship.
Further, the determining the hysteresis consistency of the two turbidity curves according to the number of the regular segments and the trend segments of the two turbidity curves and the matching relation comprises the following steps:
taking one-to-one relationship in the matching relationship as a target relationship, and determining the number meeting the target relationship in the dynamic time matching diagram corresponding to the two turbidity curves as a target number;
calculating the quantity ratio of the regular section and the trend section of each turbidity curve as the regular characteristic index of the corresponding turbidity curve;
calculating the normalized value of the difference value of the regular characteristic indexes of the two turbidity curves to obtain the curve similarity;
and determining the hysteresis consistency of the two turbidity curves according to the curve similarity and the target quantity, wherein the curve similarity and the hysteresis consistency are in positive correlation, the target quantity and the hysteresis consistency are in positive correlation, and the value of the hysteresis consistency is a normalized value.
Further, the water quality monitoring consistency result includes a consistency normal and a consistency abnormal, and the determining the water quality monitoring consistency result according to the hysteresis consistency of the turbidity curves corresponding to the highly adjacent turbidity data includes:
calculating the hysteresis consistency of turbidity curves corresponding to all the turbidity data with adjacent heights, and determining that the water quality monitoring consistency is normal when the hysteresis consistency is larger than a preset consistency threshold; otherwise, determining that the water quality monitoring consistency is abnormal.
Further, according to the water quality monitoring consistency result, the purifying regulation and control of the secondary sedimentation tank is performed, and the method comprises the following steps:
when the consistency of the water quality monitoring is normal, controlling the secondary sedimentation tank to perform a preset purification process;
and stopping the preset purification process when the consistency of the water quality monitoring is abnormal, and generating an alarm signal.
The invention has the following beneficial effects:
the invention arranges the turbidity sensors at different height positions of the secondary sedimentation tank, determines the turbidity curve based on the turbidity data collected by the different turbidity sensors, obtains the turbidity curve to more intuitively represent the turbidity change condition of different height positions, is convenient for subsequent water quality analysis according to the turbidity change, determines the period value based on the turbidity period item of the turbidity curve, accurately represents the period characteristic of the turbidity period item, analyzes the turbidity period item according to all the period values, can avoid the influence of the difference of the period values on water quality monitoring by combining all the period conditions, divides the turbidity period item according to the period value corresponding to each turbidity period item and the distribution similarity condition under different period values, divides all the turbidity period item into a regular section and a trend section, the distribution of the regular section and the trend section can represent the integral change condition of the turbidity period item, the quantity characteristics of the regular section and the trend section in the two turbidity curves and the matching relation after the dynamic time regularization treatment are combined to determine the hysteresis consistency of the two turbidity curves, the hysteresis consistency represents the fluctuation hysteresis effect of the two turbidity curves, further the turbidity changes at different heights in the secondary sedimentation tank are intuitively reflected according to the hysteresis consistency, whether the turbidity changes are consistent or not is detected according to the turbidity change condition of the turbidity curve corresponding to the turbidity data with adjacent heights, a water quality monitoring consistency result is obtained, wherein the water quality monitoring consistency result can be combined with the turbidity changes with all adjacent heights, so that the integral turbidity changes in the secondary sedimentation tank are analyzed, the phenomenon that the sedimentation effect of the whole secondary sedimentation tank is abnormal due to the turbidity change abnormality at a certain height position is avoided, and the water quality monitoring consistency result is obtained, the secondary sedimentation tank is purified and regulated, so that the effective purification and regulation of the secondary sedimentation tank are realized, the regulation and control capability is improved, the stability of the sewage discharge of the secondary sedimentation tank is effectively enhanced, the reliability of the sewage discharge quality is improved, and the control and regulation effects of water purification in the secondary sedimentation tank are improved.
Drawings
In order to more clearly illustrate the embodiments of the invention or the technical solutions and advantages of the prior art, the following description will briefly explain the drawings used in the embodiments or the description of the prior art, and it is obvious that the drawings in the following description are only some embodiments of the invention, and other drawings can be obtained according to the drawings without inventive effort for a person skilled in the art.
FIG. 1 is a block diagram of a multi-stage purification treatment apparatus for a sewage station according to an embodiment of the present invention;
FIG. 2 is a schematic diagram of a second periodic segment segmentation according to an embodiment of the present invention;
fig. 3 is a schematic diagram of a dynamic time matching diagram according to an embodiment of the present invention.
Detailed Description
In order to further describe the technical means and effects adopted by the invention to achieve the preset aim, the following detailed description refers to the specific implementation, structure, characteristics and effects of a multi-stage purification treatment device for a sewage station according to the invention with reference to the accompanying drawings and preferred embodiments. In the following description, different "one embodiment" or "another embodiment" means that the embodiments are not necessarily the same. Furthermore, the particular features, structures, or characteristics of one or more embodiments may be combined in any suitable manner.
Unless defined otherwise, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this invention belongs.
The invention provides a specific scheme of a multi-stage purification treatment device for a sewage station, which is specifically described below with reference to the accompanying drawings.
Referring to fig. 1, a block diagram of a multi-stage purification treatment apparatus for a sewage station according to an embodiment of the present invention includes an acquisition module 101, a period analysis module 102, a dynamic time analysis module 103, and a regulation module 104.
The acquiring module 101 is configured to acquire turbidity data periodically acquired by each turbidity sensor in a fixed time period, and perform curve fitting on all the turbidity data acquired by each turbidity sensor according to a time sequence to obtain a turbidity curve.
In the embodiment of the invention, the secondary sedimentation tank is divided into at least two height areas according to the height, and turbidity sensors are respectively arranged in each height area, namely a plurality of turbidity sensors are evenly arranged in the secondary sedimentation tank according to the height.
It will be appreciated that the secondary sedimentation tank is typically disposed after the aeration tank and prior to further treatment or discharge, and functions to clarify the biologically treated mixed liquor by mud-water separation while concentrating the sludge in the mixed liquor. The water inlet of the secondary sedimentation tank is arranged at the lower end, the water outlet is arranged at the upper end, sludge is precipitated to the lower end through precipitation, and sewage meeting the discharge standard after the precipitation is discharged through the water outlet. In the prior art, only the turbidity of the water quality at the water outlet is detected and then regulated according to the detection result, but the whole secondary sedimentation tank is larger, and the sedimentation effect of suspended matters in the water at different heights can generate certain difference, namely the sedimentation effect is unstable, so that the water quality of the water outlet can meet the requirement, and the problem that the discharge requirement is still not met due to insufficient sedimentation at other sections is generated.
For example, in the embodiment of the present invention, 7 turbidity sensors may be provided, one turbidity sensor is placed at the water inlet and the water outlet, and then the remaining sensors are arranged at different positions of different heights, and turbidity data obtained by each turbidity sensor is collected.
The turbidity data specifically corresponds to the turbidity of water in the area where the turbidity sensor is located, that is, the refraction effect of suspended matters such as colloid matters on light, and the greater the suspended matters in the water in the area where the turbidity sensor is located, the greater the turbidity, and the higher the numerical value of the corresponding turbidity data.
In the embodiment of the invention, a fixed time period can be set, and the turbidity data can be periodically collected in the fixed time period, wherein the fixed time period can be specifically, for example, when sewage is added to a secondary sedimentation tank to the current time period, the turbidity data can be collected once every 10 minutes, and the method is not limited.
In the embodiment of the invention, a curve fitting algorithm can be used for performing curve fitting on all turbidity data acquired by each turbidity sensor according to time sequence to obtain a turbidity curve corresponding to the turbidity data acquired by the turbidity sensor, wherein the turbidity curve represents the change curve of water quality of the turbidity sensor in a fixed time period.
It can be understood that in the embodiment of the invention, since the water inlet and the water outlet of the secondary sedimentation tank are in a water quality sedimentation state, that is, the water quality change at different heights should have certain hysteresis, wherein the hysteresis, that is, the hysteresis degree of the water quality state, is closer to the water outlet, the water quality is clearer, and the water quality far from the water outlet position can generate a corresponding clarification effect as time recommends, that is, the fluctuation change of different scalding curves at different time points is similar, and the property can be called hysteresis.
For example, the change in turbidity at 8 to 9 in the area of half a meter height from the water outlet position may be similar to the change in turbidity at 9 to 10 in the area of one meter height from the water outlet position, i.e. with a certain hysteresis.
The corresponding hysteresis should be kept consistent during normal precipitation of the in-water turbidity, and the corresponding water hysteresis changes when abnormal precipitation of the in-water turbidity occurs, and more detailed analysis is needed. Thus, embodiments of the present invention are directed to analyzing hysteresis consistency, see the examples that follow.
The period analysis module 102 is configured to perform time sequence decomposition on the turbidity curves, and determine turbidity period items corresponding to each turbidity curve respectively; performing frequency domain conversion on the turbidity period items, and determining a period value corresponding to each turbidity period item; dividing the turbidity period items into regular segments and trend segments according to the similar distribution conditions of the turbidity period items after the turbidity period items are divided under different period values based on the period value corresponding to each turbidity period item.
In the embodiment of the present invention, the turbidity curve can be decomposed into a period term, a season term and a residual term by using an STL time sequence decomposition algorithm, wherein the time sequence decomposition is a technical means well known in the art, and further description and limitation are omitted. In the embodiment of the invention, the period item corresponding to each turbidity curve is taken as a turbidity period item, and the period item represents the period change characteristic of the corresponding turbidity curve. After the turbidity period term is obtained, the data can be analyzed by combining the turbidity period term.
Further, in some embodiments of the present invention, performing frequency domain conversion on the turbidity period term to determine a period value corresponding to each turbidity period term, including: converting the turbidity period term into a frequency domain space based on Fourier transform to obtain a turbidity spectrogram; and taking the reciprocal of the frequency corresponding to each amplitude value in the turbidity spectrogram as a period value corresponding to the turbidity period item.
In the embodiment of the invention, based on time-frequency conversion, a turbidity period item on time sequence can be converted into a turbidity spectrogram on a frequency domain, the time-frequency conversion is a conversion means known in the art, and the conversion means is not limited to the time-frequency conversion, and the amplitude value in the turbidity spectrogram represents the period change information of the turbidity period item.
It can be understood that the period value in the embodiment of the invention represents the frequency period information of different turbidity period items, so that each period value can be respectively used as the period length of the turbidity period item, the turbidity period item is divided, and the turbidity period item is specifically analyzed according to the divided result.
Further, in some embodiments of the present invention, the turbidity period items are divided based on the period value corresponding to each turbidity period item, and the turbidity period items are divided into regular segments and trend segments according to the distribution similarity of the turbidity period items under different period values, including: taking each period value as the period length, respectively carrying out average division on the turbidity period items to obtain the dividing points corresponding to each period value, and taking the time sequence interval of the turbidity period items separated by two adjacent dividing points as the first period section of the corresponding period value; determining a first similarity coefficient of each first period according to the similarity degree of any first period corresponding to the same period value and all other first periods; dividing turbidity period items according to the dividing points corresponding to all period values to obtain second period sections, taking any second period section as a to-be-measured section, determining second similar coefficients of the to-be-measured section according to first similar coefficients of all first period sections comprising the to-be-measured section, and dividing all second period sections into regular sections and trend sections according to the second similar coefficients.
In the embodiment of the invention, the period length is the time length corresponding to one period, and a plurality of period values can be obtained by frequency domain analysis of one turbidity period item. That is, the distance between two adjacent dividing points is the corresponding period length.
In the embodiment of the invention, the time sequence interval of the turbidity period item between two adjacent dividing points is used as the first period section of the corresponding period value, the first period section is the section of the turbidity period item obtained after period division according to the period length, and under normal conditions, the curve changes in the first period section with the same period length are similar, namely, have certain regularity, so the embodiment of the invention analyzes the regularity of the first period section.
Further, in some embodiments of the present invention, determining the first similarity coefficient of each first period according to the similarity between any first period and all other first periods corresponding to the same period value includes: taking any first period section corresponding to the same period value as an analysis period section, and taking other first period sections with the same period value as constant period sections; based on a cosine similarity algorithm, calculating cosine similarity values of the analysis period section and all the same-value period sections to obtain analysis similarity between the analysis period section and each same-value period section respectively; determining the reciprocal of the time sequence distance between the analysis period section and each same-value period section as the time influence weight of the corresponding analysis period section and the same-value period section; calculating the product of the time influence weight and the analysis similarity as a similarity factor of the analysis period section and the corresponding equal-value period section, taking the normalized value of the sum of all the similarity factors as a first similarity coefficient of the analysis period section, and adjusting the analysis period section to obtain the first similarity coefficient of each first period section.
In the embodiment of the invention, the analysis period section and the same-value period section are determined, and the cosine similarity value of the analysis period section and each same-value period section can be calculated based on the cosine similarity, and the cosine similarity value is used as the analysis similarity of the analysis period section and the corresponding same-value period section.
It should be noted that, because the effects of different time on time sequences are different, the invention analyzes according to the time sequence distance, wherein the time sequence distance is the time interval length of the analysis period and the same-value period, for example, when the time interval between the analysis period and the same-value period is 1 minute, the corresponding time sequence distance is 1, and when the time interval between the analysis period and the same-value period is 15 minutes, the corresponding time sequence distance is 15, it can be understood that, because the time sequence distance is farther from the analysis period, the larger the value of the time sequence distance is, the smaller the effect of the corresponding same-value period on the analysis period is, in the embodiment of the invention, the reciprocal of the time sequence distance between the analysis period and the same-value period is calculated as the time effect weight, and the larger the value of the time sequence distance is, the smaller the time effect weight is.
In the embodiment of the invention, the product of the time influence weight and the analysis similarity is calculated as the similarity factor of the analysis period section and the corresponding same-value period section, and the sum of all the similarity factors of the analysis period section and all the same-value period sections is normalized to obtain the first similarity coefficient of the analysis period section, wherein the first similarity coefficient is the similarity degree of the analysis period section in the whole turbidity period item, and the higher the first similarity coefficient is, the higher the similarity of the corresponding analysis period section and the same-value period section is, and the more accords with the normal turbidity change characteristic.
In the embodiment of the invention, each period value has a corresponding dividing point, so that the dividing points of all period values can be integrated, and the turbidity period item is divided to obtain the second period section. Referring to fig. 2, fig. 2 is a schematic diagram illustrating a second period segment division according to an embodiment of the present invention; as can be seen from fig. 2, the values of the period value a and the period value B are different, so that the corresponding turbidity period item is divided into different first period segments to obtain different dividing points, and all the dividing points corresponding to the period value a and the period value B are integrated into the turbidity period item to obtain second period segments with different lengths as dividing points of the second period segments. Thus, each second period segment is contained within one or more of the first period segments, and each second period segment is analyzed by the present invention.
In the embodiment of the present invention, a second period segment is optionally selected as a to-be-measured segment, and the second similarity coefficient of the to-be-measured segment is determined according to the first similarity coefficients of all the first period segments including the to-be-measured segment, including: taking all first period sections containing the section to be measured as target sections, and calculating the average value of the first similarity coefficients of all the target sections as the second similarity coefficients of the section to be measured.
The second period section can be analyzed in one or more first period sections, namely under different period values, and the similarity degree corresponding to the second period section can be changed, so that all first period sections containing the section to be measured are taken as target sections, and the first similarity coefficients of all target sections are subjected to uniform processing to obtain the second similarity coefficient of the section to be measured, and the second similarity coefficient can effectively represent the similarity degree of the section to be measured.
Further, in some embodiments of the present invention, dividing all the second period segments into regular segments and trend segments according to the second similarity coefficient includes: taking a second period section with a second similarity coefficient larger than a preset similarity coefficient threshold value as a regular section; and taking a second period section with the second similarity coefficient smaller than or equal to a preset similarity coefficient threshold value as a trend section.
The preset similarity coefficient threshold is a threshold of a second similarity coefficient, and in the embodiment of the invention, the preset similarity coefficient threshold may be set to be 0.8, that is, a second period segment with the second similarity coefficient greater than 0.8 is used as a regular segment; and taking a second period section with the second similarity coefficient smaller than or equal to 0.8 as a trend section, wherein the preset similarity coefficient threshold value can be adjusted according to actual requirements, and the method is not limited.
The dynamic time analysis module 103 is configured to perform dynamic time warping processing on any two turbidity curves, determine a matching relationship corresponding to any two turbidity curves, and determine hysteresis consistency of the two turbidity curves according to the number and matching relationship of regular segments and trend segments of the two turbidity curves.
In the embodiment of the invention, as the turbidity changes of the water quality in the secondary sedimentation tank areas with different heights have certain hysteresis under normal conditions, the similarity of the changes at different heights can be analyzed based on the matching effect of the two turbidity curves.
Further, in some embodiments of the present invention, performing dynamic time warping processing on any two turbidity curves to determine a matching relationship corresponding to any two turbidity curves, including: performing dynamic time warping processing on any two turbidity curves based on a dynamic time warping algorithm to obtain a dynamic time matching diagram; and determining a matching relationship according to the matching result of the data points of the two turbidity curves in the dynamic time matching graph, wherein the matching relationship comprises a one-to-one relationship, a one-to-many relationship and a many-to-one relationship.
As shown in fig. 3, fig. 3 is a schematic diagram of a dynamic time matching chart provided by an embodiment of the present invention, in which the horizontal axis in fig. 3 is time sequence, that is, different data points, and dynamic time warping is performed on the turbidity curve 1 and the turbidity curve 2, one data point in the turbidity curve 1 may correspond to multiple data points in the turbidity curve 2, that is, one-to-many, and similarly, there is a one-to-one, many-to-one, and one-to-one matching relationship, and it can be understood that in the one-to-one matching relationship, it can be explained that the corresponding turbidity change generates hysteresis, and then the embodiment of the present invention can perform specific analysis on the hysteresis according to the matching relationship.
Further, in some embodiments of the present invention, determining the hysteresis consistency of the two turbidity curves based on the number and matching relationship of the regular and trend segments of the two turbidity curves comprises: taking a one-to-one relationship in the matching relationship as a target relationship, and determining the number meeting the target relationship in the dynamic time matching diagram corresponding to the two turbidity curves as a target number; calculating the quantity ratio of the regular section and the trend section of each turbidity curve as the regular characteristic index of the corresponding turbidity curve; calculating the normalized value of the difference value of the regular characteristic indexes of the two turbidity curves to obtain the curve similarity; and determining the hysteresis consistency of the two turbidity curves according to the curve similarity and the target quantity, wherein the curve similarity and the hysteresis consistency are in positive correlation, the target quantity and the hysteresis consistency are in positive correlation, and the hysteresis consistency takes the normalized value.
In the embodiment of the invention, the one-to-one relationship in the matching relationship is used as the target relationship, the one-to-one relationship can represent the similar degree of the corresponding content in the dynamic time regulation process, and only a delay effect is generated in time, in the scene of the embodiment of the invention, namely, the water environment turbidity with different heights generates a certain delay effect, and the method accords with the normal secondary sedimentation tank sedimentation state, therefore, in the embodiment of the invention, the number meeting the target relationship in the dynamic time matching diagram corresponding to the two turbidity curves is used as the target number, and as the collection time of the turbidity curves is the same, namely, the more the target number is, the curve corresponding to the similarity of the two turbidity curves in data fluctuation is represented, but the fluctuation condition has a hysteresis effect in time sequence, namely, has a certain hysteresis consistency.
Therefore, the hysteresis consistency of the two corresponding turbidity curves can be calculated according to the curve similarity degree and the target quantity.
In the embodiment of the invention, the curve similarity and the hysteresis consistency are in positive correlation, the target quantity and the hysteresis consistency are in positive correlation, the value of the hysteresis consistency is a normalized numerical value, wherein the positive correlation is a relation that the independent variable becomes larger as the dependent variable becomes larger, and the positive correlation can be specifically, for example, a multiplication relation or an addition relation, and is not limited. In the embodiment of the present invention, the normalization process may specifically be, for example, maximum and minimum normalization process, that is, in the embodiment of the present invention, a product of a curve similarity degree and a target number may be calculated, and maximum and minimum normalization process is performed on the product, so as to obtain corresponding hysteresis consistency.
And the regulation and control module 104 is used for determining a water quality monitoring consistency result according to the hysteresis consistency of the turbidity curves corresponding to the highly adjacent turbidity data and carrying out purification regulation and control on the secondary sedimentation tank according to the water quality monitoring consistency result.
In the embodiment of the invention, the hysteresis consistency can represent the time sequence change condition of different turbidity data, so that the water quality monitoring can be specifically analyzed according to the hysteresis consistency.
Further, in some embodiments of the present invention, determining a water quality monitoring consistency result based on a hysteresis consistency of turbidity curves corresponding to highly neighboring turbidity data comprises: calculating the hysteresis consistency of turbidity curves corresponding to all the turbidity data with adjacent heights, and determining that the water quality monitoring consistency is normal when the hysteresis consistency is larger than a preset consistency threshold; otherwise, determining that the consistency of the water quality monitoring is abnormal.
In the embodiment of the invention, the consistency result of water quality monitoring comprises a consistency normal and a consistency abnormal. The consistency normal representation water quality changes under different heights to conform to the normal change condition, and the consistency abnormal representation corresponds to the abnormal change condition of the water quality under different heights, so that the embodiment of the invention calculates the hysteresis consistency of turbidity curves corresponding to all the turbidity data with adjacent heights, and the turbidity data with adjacent heights has closer turbidity changes, so that the hysteresis consistency of the corresponding turbidity curves is larger, and the embodiment of the invention determines that the water quality monitoring consistency is normal when the hysteresis consistency is larger than the preset consistency threshold value.
In the embodiment of the present invention, the preset consistency threshold may specifically be, for example, 0.7, that is, when the hysteresis consistency of turbidity curves corresponding to all the highly neighboring turbidity data is greater than 0.7, the corresponding characteristic turbidity fluctuation shows a linear change, and then accords with the normal water quality change, that is, the consistency of water quality monitoring is normal. When any hysteresis consistency is less than or equal to 0.7, the turbidity change of the height area corresponding to the turbidity curve with the characteristic of less than 0.7 is abnormal, and the abnormal condition may be abnormal mud level in the secondary sedimentation tank or turbidity change caused by abnormal chemical characteristics of sewage input into the secondary sedimentation tank.
Further, in some embodiments of the present invention, the purifying and controlling the secondary sedimentation tank according to the consistency result of water quality monitoring comprises: when the consistency of water quality monitoring is normal, controlling the secondary sedimentation tank to carry out a preset purification process; when the consistency of water quality monitoring is abnormal, stopping the preset purification process, and generating an alarm signal.
The preset purification process is a conventional purification process, namely an existing secondary sedimentation tank purification process, when the water quality monitoring consistency is normal, the corresponding water quality change in the secondary sedimentation tank accords with the normal water quality change, continuous treatment is performed based on the existing purification process, and when the water quality monitoring consistency is abnormal, the preset purification process can be stopped, and an alarm signal is generated so as to feed back the water quality monitoring condition to related staff.
Of course, in other embodiments of the present invention, various other arbitrary possible implementations may be used to perform purification regulation and control on the secondary sedimentation tank according to the water quality monitoring consistency result, for example, determining whether the turbidity of the water outlet meets the emission standard by combining the turbidity data at the water outlet position, opening the water outlet when the emission standard is met, and the like, so as to implement the purification regulation and control on the secondary sedimentation tank, which is not limited.
The invention arranges the turbidity sensors at different height positions of the secondary sedimentation tank, determines the turbidity curve based on the turbidity data collected by the different turbidity sensors, obtains the turbidity curve to more intuitively represent the turbidity change condition of different height positions, is convenient for subsequent water quality analysis according to the turbidity change, determines the period value based on the turbidity period item of the turbidity curve, accurately represents the period characteristic of the turbidity period item, analyzes the turbidity period item according to all the period values, can avoid the influence of the difference of the period values on water quality monitoring by combining all the period conditions, divides the turbidity period item according to the period value corresponding to each turbidity period item and the distribution similarity condition under different period values, divides all the turbidity period item into a regular section and a trend section, the distribution of the regular section and the trend section can represent the integral change condition of the turbidity period item, the quantity characteristics of the regular section and the trend section in the two turbidity curves and the matching relation after the dynamic time regularization treatment are combined to determine the hysteresis consistency of the two turbidity curves, the hysteresis consistency represents the fluctuation hysteresis effect of the two turbidity curves, further the turbidity changes at different heights in the secondary sedimentation tank are intuitively reflected according to the hysteresis consistency, whether the turbidity changes are consistent or not is detected according to the turbidity change condition of the turbidity curve corresponding to the turbidity data with adjacent heights, a water quality monitoring consistency result is obtained, wherein the water quality monitoring consistency result can be combined with the turbidity changes with all adjacent heights, so that the integral turbidity changes in the secondary sedimentation tank are analyzed, the phenomenon that the sedimentation effect of the whole secondary sedimentation tank is abnormal due to the turbidity change abnormality at a certain height position is avoided, and the water quality monitoring consistency result is obtained, the secondary sedimentation tank is purified and regulated, so that the effective purification and regulation of the secondary sedimentation tank are realized, the regulation and control capability is improved, the stability of the sewage discharge of the secondary sedimentation tank is effectively enhanced, the reliability of the sewage discharge quality is improved, and the control and regulation effects of water purification in the secondary sedimentation tank are improved.
It should be noted that: the sequence of the embodiments of the present invention is only for description, and does not represent the advantages and disadvantages of the embodiments. The processes depicted in the accompanying drawings do not necessarily require the particular order shown, or sequential order, to achieve desirable results. In some embodiments, multitasking and parallel processing are also possible or may be advantageous.
In this specification, each embodiment is described in a progressive manner, and identical and similar parts of each embodiment are all referred to each other, and each embodiment mainly describes differences from other embodiments.
Claims (10)
1. A sewage station multistage purification treatment device, divide into two at least altitude areas according to the altitude with two sedimentation tanks, arrange turbidity sensor in each altitude area respectively, characterized by comprising:
the acquisition module is used for acquiring turbidity data periodically acquired by each turbidity sensor in a fixed time period, and performing curve fitting on all the turbidity data acquired by each turbidity sensor according to a time sequence to acquire a turbidity curve;
the period analysis module is used for carrying out time sequence decomposition on the turbidity curves and determining turbidity period items corresponding to each turbidity curve respectively; performing frequency domain conversion on the turbidity period items, and determining a period value corresponding to each turbidity period item; dividing the turbidity period items based on the period value corresponding to each turbidity period item, and dividing the turbidity period items into regular segments and trend segments according to the similar distribution condition of the turbidity period items after division under different period values;
the dynamic time analysis module is used for carrying out dynamic time warping processing on any two turbidity curves, determining a matching relation corresponding to the any two turbidity curves, and determining the hysteresis consistency of the two turbidity curves according to the number of regular segments and trend segments of the two turbidity curves and the matching relation;
and the regulation and control module is used for determining a water quality monitoring consistency result according to the hysteresis consistency of the turbidity curves corresponding to the highly adjacent turbidity data and carrying out purification regulation and control on the secondary sedimentation tank according to the water quality monitoring consistency result.
2. The apparatus of claim 1, wherein said frequency domain converting said turbidity period term to determine a period value corresponding to each of said turbidity period terms, comprises:
converting the turbidity period term into a frequency domain space based on Fourier transformation to obtain a turbidity spectrogram;
and taking the reciprocal of the frequency corresponding to each amplitude value in the turbidity spectrogram as the period value corresponding to the turbidity period item.
3. The multi-stage purification treatment apparatus for a sewage station according to claim 1, wherein the dividing the turbidity period term based on the period value corresponding to each turbidity period term, and dividing the turbidity period term into a regular segment and a trend segment according to the similarity of the divided turbidity period term under different period values, comprises:
taking each period value as a period length, respectively carrying out average division on the turbidity period items to obtain dividing points corresponding to each period value, and taking a time sequence interval of the turbidity period items spaced by two adjacent dividing points as a first period section of the corresponding period value;
determining a first similarity coefficient of each first period according to the similarity degree of any first period corresponding to the same period value and all other first periods;
dividing the turbidity period item according to the dividing points corresponding to all period values to obtain second period sections, taking any second period section as a to-be-measured section, determining second similar coefficients of the to-be-measured section according to first similar coefficients of all first period sections comprising the to-be-measured section, and dividing all second period sections into regular sections and trend sections according to the second similar coefficients.
4. A multi-stage sewage station purifying treatment apparatus according to claim 3, wherein the determining the first similarity coefficient of each first period according to the similarity between any one of the first periods and all the other first periods corresponding to the same period value comprises:
taking any first period section corresponding to the same period value as an analysis period section, and taking other first period sections with the same period value as constant period sections;
based on a cosine similarity algorithm, calculating cosine similarity values of the analysis period section and all the same-value period sections to obtain analysis similarity between the analysis period section and each same-value period section respectively;
determining the reciprocal of the time sequence distance between the analysis period section and each constant value period section as the time influence weight of the corresponding analysis period section and the constant value period section;
calculating the product of the time influence weight and the analysis similarity as a similarity factor of the analysis period section and the corresponding equal-value period section, taking the normalized value of the sum of all the similarity factors as a first similarity coefficient of the analysis period section, and adjusting the analysis period section to obtain the first similarity coefficient of each first period section.
5. A multi-stage sewage station purification treatment apparatus as claimed in claim 3, wherein said determining a second similarity coefficient for said section to be measured based on first similarity coefficients for all first period sections including said section to be measured comprises:
and taking all the first period sections containing the section to be measured as target sections, and calculating the average value of the first similarity coefficients of all the target sections as the second similarity coefficients of the section to be measured.
6. A multi-stage sewage station purification treatment apparatus as claimed in claim 3, wherein said dividing all second period segments into regular segments and trend segments according to said second similarity coefficient comprises:
taking a second period section with the second similarity coefficient larger than a preset similarity coefficient threshold value as a regular section;
and taking the second period section with the second similarity coefficient smaller than or equal to a preset similarity coefficient threshold value as a trend section.
7. The multi-stage purification treatment device for a sewage station according to claim 1, wherein the dynamic time warping treatment is performed on any two turbidity curves, and determining a matching relationship corresponding to any two turbidity curves comprises:
performing dynamic time warping processing on any two turbidity curves based on a dynamic time warping algorithm to obtain a dynamic time matching diagram;
and determining a matching relationship according to the matching result of the data points of the two turbidity curves in the dynamic time matching graph, wherein the matching relationship comprises a one-to-one relationship, a one-to-many relationship and a many-to-one relationship.
8. The multi-stage purification treatment apparatus of a sewage station as claimed in claim 1, wherein said determining the hysteresis consistency of the two turbidity curves based on the number of regular segments and trend segments of the two turbidity curves and the matching relationship comprises:
taking one-to-one relationship in the matching relationship as a target relationship, and determining the number meeting the target relationship in the dynamic time matching diagram corresponding to the two turbidity curves as a target number;
calculating the quantity ratio of the regular section and the trend section of each turbidity curve as the regular characteristic index of the corresponding turbidity curve;
calculating the normalized value of the difference value of the regular characteristic indexes of the two turbidity curves to obtain the curve similarity;
and determining the hysteresis consistency of the two turbidity curves according to the curve similarity and the target quantity, wherein the curve similarity and the hysteresis consistency are in positive correlation, the target quantity and the hysteresis consistency are in positive correlation, and the value of the hysteresis consistency is a normalized value.
9. The multi-stage purification treatment apparatus of claim 1, wherein the water quality monitoring consistency results include a consistency normal and a consistency abnormal, wherein the determining the water quality monitoring consistency results based on a hysteresis consistency of turbidity curves corresponding to highly adjacent turbidity data comprises:
calculating the hysteresis consistency of turbidity curves corresponding to all the turbidity data with adjacent heights, and determining that the water quality monitoring consistency is normal when the hysteresis consistency is larger than a preset consistency threshold; otherwise, determining that the water quality monitoring consistency is abnormal.
10. The multi-stage purification treatment apparatus of claim 9, wherein said purification control of the secondary sedimentation tank based on the consistency of the water quality monitoring comprises:
when the consistency of the water quality monitoring is normal, controlling the secondary sedimentation tank to perform a preset purification process;
and stopping the preset purification process when the consistency of the water quality monitoring is abnormal, and generating an alarm signal.
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