CN112085081B - Sewage component detection method and system - Google Patents
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- 239000010865 sewage Substances 0.000 title claims abstract description 329
- 238000001514 detection method Methods 0.000 title claims abstract description 124
- 239000003344 environmental pollutant Substances 0.000 claims abstract description 80
- 231100000719 pollutant Toxicity 0.000 claims abstract description 80
- 230000002776 aggregation Effects 0.000 claims abstract description 50
- 238000004220 aggregation Methods 0.000 claims abstract description 50
- 238000013507 mapping Methods 0.000 claims abstract description 32
- 238000000034 method Methods 0.000 claims abstract description 22
- XLYOFNOQVPJJNP-UHFFFAOYSA-N water Substances O XLYOFNOQVPJJNP-UHFFFAOYSA-N 0.000 claims description 127
- 238000012795 verification Methods 0.000 claims description 37
- 238000012545 processing Methods 0.000 claims description 20
- 239000011159 matrix material Substances 0.000 claims description 18
- 239000002351 wastewater Substances 0.000 claims description 11
- 238000000605 extraction Methods 0.000 claims description 7
- 230000001052 transient effect Effects 0.000 claims description 6
- 239000000470 constituent Substances 0.000 claims description 3
- 238000004065 wastewater treatment Methods 0.000 claims 2
- 239000000284 extract Substances 0.000 abstract description 3
- 238000010586 diagram Methods 0.000 description 7
- 239000000356 contaminant Substances 0.000 description 3
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- 241000894006 Bacteria Species 0.000 description 1
- QVGXLLKOCUKJST-UHFFFAOYSA-N atomic oxygen Chemical compound [O] QVGXLLKOCUKJST-UHFFFAOYSA-N 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
- 238000013524 data verification Methods 0.000 description 1
- 230000000694 effects Effects 0.000 description 1
- 239000002184 metal Substances 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 229910052760 oxygen Inorganic materials 0.000 description 1
- 239000001301 oxygen Substances 0.000 description 1
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Abstract
The invention discloses a sewage component detection method and a system, wherein a sewage detector receives real-time sewage sample data acquired by a data acquisition terminal, extracts characteristics and processes the characteristics to obtain a first data aggregation set, and performs data classification based on a pre-stored database to obtain a second data aggregation set. The sewage detector maps index points into a second data cluster according to sample index data extracted from the first data cluster, historical sample mapping points are obtained in the second data cluster, and a sewage index list between the first data cluster and the second data cluster is generated according to the sample index data and the historical sample mapping points. Judging whether the total number of the first characteristic clusters is the same as the total number of the multiple indexes of the sewage index list, obtaining a final sewage detection result and storing the final sewage detection result. The sewage detector transmits the final sewage detection result to a display and displays the final sewage detection result on the display. The method can accurately detect the corresponding pollutant data.
Description
Technical Field
The disclosure relates to the technical field of sewage detection, and in particular relates to a sewage component detection method and system.
Background
Sewage generally refers to a body of water that is contaminated, typically from living and discharged water. In order to ensure the safety of water, people continuously strengthen the treatment on water resources, but because of factors such as weak environmental protection awareness or driving of benefits, people can freely discharge sewage to cause serious environmental damage. People recognize that sewage needs to be treated, and the traditional physicochemical analysis method can quantitatively analyze the content of main components in pollutants, but can not directly and comprehensively detect the components and the content in the sewage, can not effectively treat the sewage, and can not solve the fundamental problem. Therefore, the comprehensive detection of the sewage components is required to obtain corresponding specific pollutant data.
Disclosure of Invention
In order to solve the technical problem of inaccurate water detection in a target water area in the related art, the present disclosure provides a method and a system for detecting a sewage component.
A method of detecting a wastewater constituent, the method comprising:
the sewage detector acquires real-time sewage sample data acquired and transmitted by a water body data acquisition terminal arranged in a target water area, and performs data characteristic extraction on the real-time sewage sample data to obtain data to be processed; carrying out data classification on the data to be processed according to a preset data classification logic to obtain a first data aggregation set; performing data classification on historical sample data in a preset database according to the preset data classification logic to obtain a second data aggregation set;
The sewage detector maps index points into the second data clustering set according to the sample index data extracted from the first data clustering set, historical sample mapping points are obtained in the second data clustering set, and a sewage index list between the first data clustering set and the second data clustering set is generated according to the sample index data and the historical sample mapping points;
the sewage detector performs multiple verification according to the first data aggregation set and the extracted multiple indexes of the sewage index list, and when the first data aggregation set has a first feature cluster total number, if the first feature cluster total number is detected to be the same as the multiple index total number of the sewage index list, the sewage detector judges that the water body of the target water area is detected to have corresponding pollutant; if the total number of the first characteristic clusters is different from the total number of the multiple indexes of the sewage index list, detecting that the water body of the target water area does not have corresponding pollutants; processing based on the judgment result of whether the water body of the target water area contains the corresponding pollutant or not, obtaining a final sewage detection result and storing the final sewage detection result; wherein the total number of the indexes is the total number of the feature clusters of the preset data actually possessed by the sewage index list;
The sewage detector converts the final sewage detection result into a data signal, and sends the data signal to a display with a fixed clock beat, so that the display converts the data signal into text information and displays the text information.
Optionally, the multiple checks include a first check, a second check, and a third check.
Optionally, the step of performing the first verification by the sewage detector includes:
extracting the first data cluster set in advance to obtain actual data and instantaneous data;
acquiring an instant characteristic value corresponding to the actual data, and acquiring an instant characteristic value corresponding to the instant data;
generating and storing an acquired data characteristic value based on the instant characteristic value and the instant characteristic value;
extracting first index data and second index data in the sewage index list; wherein the first index data is used to characterize the transient data; the second index data is used for representing the actual data;
obtaining third index data according to the first index data and the second index data, and taking the third index data as pre-stored data in a database;
and carrying out the first verification on the pre-stored data and the characteristic value of the acquired data, and processing according to the verification result to obtain a first sewage detection result.
Optionally, the step of performing the second verification by the sewage detector includes:
determining preset data list nodes from a preset database based on the sewage index list, wherein the preset data list nodes are combined to form a preset data matrix;
generating sewage detection target data according to the first data aggregation set, wherein the sewage detection target data further comprises data index nodes for representing the first data aggregation set;
mapping the data index nodes into the preset data matrix according to the content of the sewage detection target data so as to obtain sewage detection identifiers corresponding to the data index nodes in the preset data matrix;
and detecting the similarity between the sewage detection identification corresponding to the data index node and the sewage detection target data to obtain the second verification corresponding pollutant data corresponding to the water body of the target water area, and processing according to the pollutant data to obtain a second sewage detection result and storing the second sewage detection result.
Optionally, the step of performing the third verification by the sewage detector includes:
when determining a sewage information distribution track corresponding to the first data clustering set, determining whether the acquired sewage track feature set is matched with a preset track feature set or not based on the sewage information distribution track;
If the sewage track feature set is matched with the preset track feature set, when the sewage detector finds that a first key corresponding to the sewage track feature set is consistent with a second key corresponding to the preset track feature set, the sewage detector detects that the water body of the target water area has corresponding pollutant data;
if the sewage track feature set is not matched with the preset track feature set, the sewage detector detects that the water body of the target water area does not have corresponding pollutant data;
and the sewage detector analyzes the data result according to the pollutant data to obtain and store a final sewage detection result corresponding to the pollutant data.
A system for wastewater constituent detection, the system comprising: the sewage detection instrument is respectively communicated with the data acquisition equipment and the display, and is used for:
acquiring real-time sewage sample data acquired and transmitted by a water body data acquisition terminal arranged in a target water area, and extracting data characteristics of the real-time sewage sample data to obtain data to be processed; carrying out data classification on the data to be processed according to a preset data classification logic to obtain a first data aggregation set; performing data classification on historical sample data in a preset database according to the preset data classification logic to obtain a second data aggregation set;
Mapping index points into the second data cluster according to the sample index data extracted from the first data cluster set, obtaining historical sample mapping points in the second data cluster set, and generating a sewage index list between the first data cluster set and the second data cluster set according to the sample index data and the historical sample mapping points;
checking a plurality of times according to the first data aggregation set and the extracted multiple indexes of the sewage index list, and judging that the water body of the target water area is detected to have corresponding pollutants if the first feature cluster total number is detected to be the same as the multiple indexes of the sewage index list when the first data aggregation set has the first feature cluster total number; if the total number of the first characteristic clusters is different from the total number of the multiple indexes of the sewage index list, detecting that the water body of the target water area does not have corresponding pollutants; processing based on the judgment result of whether the water body of the target water area contains the corresponding pollutant or not, obtaining a final sewage detection result and storing the final sewage detection result; wherein the total number of the indexes is the total number of the feature clusters of the preset data actually possessed by the sewage index list;
And converting the final sewage detection result into a data signal, and sending the data signal to a display at a fixed clock beat, so that the display converts the data signal into text information and displays the text information.
Optionally, the multiple checks include a first check, a second check, and a third check.
Optionally, the sewage detector is specifically configured to:
extracting the first data cluster set in advance to obtain actual data and instantaneous data;
acquiring an instant characteristic value corresponding to the actual data, and acquiring an instant characteristic value corresponding to the instant data;
generating and storing an acquired data characteristic value based on the instant characteristic value and the instant characteristic value;
extracting first index data and second index data in the sewage index list; wherein the first index data is used to characterize the transient data; the second index data is used for representing the actual data;
obtaining third index data according to the first index data and the second index data, and taking the third index data as pre-stored data in a database;
and carrying out the first verification on the pre-stored data and the characteristic value of the acquired data, and processing according to the verification result to obtain a first sewage detection result.
Optionally, the sewage detector is specifically configured to:
determining preset data list nodes from a preset database in the sewage index list, wherein the preset data list nodes are combined to form a preset data matrix;
generating sewage detection target data according to the first data aggregation set, wherein the sewage detection target data further comprises data index nodes for representing the first data aggregation set;
mapping the data index nodes into the preset data matrix according to the content of the sewage detection target data so as to obtain sewage detection identifiers corresponding to the data index nodes in the preset data matrix;
and detecting the similarity between the sewage detection identification corresponding to the data index node and the sewage detection target data to obtain the second verification corresponding pollutant data corresponding to the water body of the target water area, and processing according to the pollutant data to obtain a second sewage detection result and storing the second sewage detection result.
Optionally, the sewage detector is specifically configured to:
when determining a sewage information distribution track corresponding to the first data clustering set, determining whether the acquired sewage track feature set is matched with a preset track feature set or not based on the sewage information distribution track;
If the sewage track feature set is matched with the preset track feature set, when the sewage detector finds that a first key corresponding to the sewage track feature set is consistent with a second key corresponding to the preset track feature set, the sewage detector detects that the water body of the target water area has corresponding pollutant data;
if the sewage track feature set is not matched with the preset track feature set, the sewage detector detects that the water body of the target water area does not have corresponding pollutant data;
and the sewage detector analyzes the data result according to the pollutant data to obtain and store a final sewage detection result corresponding to the pollutant data.
The technical scheme provided by the embodiment of the disclosure can include the following beneficial effects.
The sewage detector receives real-time sewage sample data acquired by the data acquisition terminal, extracts characteristics and processes the characteristics to obtain a first data aggregation set, and classifies data based on a pre-stored database to obtain a second data aggregation set. The sewage detector maps index points into a second data cluster according to sample index data extracted from the first data cluster, historical sample mapping points are obtained in the second data cluster, and a sewage index list between the first data cluster and the second data cluster is generated according to the sample index data and the historical sample mapping points. Judging whether the total number of the first characteristic clusters is the same as the total number of the multiple indexes of the sewage index list, obtaining a final sewage detection result and storing the final sewage detection result. The sewage detector converts the final sewage detection result into a data signal, and the display converts the data signal into text information and displays the text information on the display. After the sewage detector performs multiple checks, the pollutant data which specifically corresponds to the sewage of the water body of the target water area can be accurately, comprehensively and specifically detected and displayed on the display.
It is to be understood that both the foregoing general description and the following detailed description are exemplary and explanatory only and are not restrictive of the disclosure.
Drawings
The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments consistent with the invention and together with the description, serve to explain the principles of the invention.
FIG. 1 is a schematic diagram of a sewage component detection system according to an embodiment of the present invention;
FIG. 2 is a flow chart of a method for detecting a wastewater component according to an embodiment of the present invention;
fig. 3 is a functional block diagram of a sewage component detection apparatus according to an embodiment of the present invention.
Detailed Description
Reference will now be made in detail to exemplary embodiments, examples of which are illustrated in the accompanying drawings. When the following description refers to the accompanying drawings, the same numbers in different drawings refer to the same or similar elements, unless otherwise indicated. The implementations described in the following exemplary examples are not representative of all implementations consistent with the present application. Rather, they are merely examples of apparatus and methods consistent with some aspects of the present application as detailed in the accompanying claims.
The inventor finds that the prior art can quantitatively analyze the content of main components in pollutants in the detection of the sewage components by using a traditional physicochemical analysis method, but can not directly and comprehensively detect the components and the content in a water sample. However, in actual operation, the detection of the pollutants corresponding to the water body in the target water area is inaccurate, and the components of the corresponding pollutants cannot be detected, so that the detection of the water body in the target water area is of no significance.
In order to solve the above problems in the prior art, embodiments of the present invention provide a method and a system for detecting a sewage component, which can detect a pollutant in a water body in a target water area to obtain corresponding pollutant data, so as to verify the corresponding pollutant data to obtain an accurate final sewage detection result, so that accuracy of the corresponding pollutant data in the water body in the target water area can be reliably obtained.
For convenience in describing the above-mentioned sewage component detection method and system, please refer to fig. 1, which provides a schematic diagram of a communication architecture of a sewage component detection system 100 according to an embodiment of the present invention. The sewage component detection system 100 may include a data acquisition terminal 200, a sewage detector 300, and a display 400, where the data acquisition terminal 200 is communicatively connected to the sewage detector 300, and the data acquisition terminal 200 is communicatively connected to the display 400.
In a specific embodiment, the data acquisition terminal 200 and the sewage detector 300 may be a desktop computer, a tablet computer, a notebook computer, a mobile phone, or other electronic devices capable of implementing data processing and data communication, which are not limited herein.
On the basis of the above, please refer to fig. 2 in combination, which is a schematic flow chart of a sewage component detection method according to an embodiment of the present invention, the sewage component detection method may be applied to the sewage detector 300 in fig. 1, and further, the sewage component detection method may specifically include the following descriptions of step S21 to step S24.
Step S21, a sewage detector acquires real-time sewage sample data acquired and transmitted by a water body data acquisition terminal arranged in a target water area, and performs data feature extraction on the real-time sewage sample data to obtain data to be processed; carrying out data classification on the data to be processed according to a preset data classification logic to obtain a first data aggregation set; and carrying out data classification on the historical sample data in the preset database according to the preset data classification logic to obtain a second data aggregation set.
In this embodiment, the first data aggregation set is a data combination in which a plurality of data acquisition terminals are disposed in the sewage to perform omnibearing real-time acquisition on the sewage, and the second data aggregation set is a data combination pre-stored in a database to provide the sewage judgment index set.
And S22, mapping index points into the second data cluster set according to the sample index data extracted from the first data cluster set by the sewage detector, obtaining historical sample mapping points in the second data cluster set, and generating a sewage index list between the first data cluster set and the second data cluster set according to the sample index data and the historical sample mapping points.
In this embodiment, the sewage indicator list is based on sample indicator data extracted from the first data cluster set, the sewage detector maps the sample indicator data to historical sample data in the preset database according to the preset data classification logic to obtain the historical sample mapping point, the historical sample mapping point is compared with the second data cluster set in similarity, the sewage detector obtains data with the same indicator and transmits the data to a data list in the sewage detector, and the data list forms the sewage indicator list.
Step S23, the sewage detector performs multiple verification according to the first data aggregation set and the extracted multiple indexes of the sewage index list, and when the first data aggregation set has a first feature cluster total number, if the first feature cluster total number is detected to be the same as the multiple index total number of the sewage index list, the sewage detector determines that the water body of the target water area is detected to have corresponding pollutants; if the total number of the first characteristic clusters is different from the total number of the multiple indexes of the sewage index list, detecting that the water body of the target water area does not have corresponding pollutants; processing based on the judgment result of whether the water body of the target water area contains the corresponding pollutant or not, obtaining a final sewage detection result and storing the final sewage detection result; the total number of the indexes is the total number of feature clusters of preset data actually possessed by the sewage index list.
In this embodiment, the sewage detector performs multiple checks based on the first data aggregation set and the extracted multiple indexes of the sewage index list, the multiple checks are sequentially performed in sequence, the pollutant existing in the water body of the target water area is comprehensively detected, the first data aggregation set corresponds to the number of the sewage index list one by one, and the check times correspond to the number of the sewage index list.
And S23, the sewage detector converts the final sewage detection result into a data signal, and sends the data signal to a display at a fixed clock beat so that the display converts the data signal into text information and displays the text information.
In this embodiment, the final sewage detection result is converted into a data signal, the data signal is converted into text information, and the text information is displayed on the display, and the final sewage detection result includes collected bacteria distribution data, organic index data, metal distribution data, dissolved oxygen content data, and ph value data.
In executing the above-described contents of step S21 to step S24, the following advantageous technical effects can be achieved: the sewage detector 300 receives the real-time sewage sample data acquired by the data acquisition terminal 200, extracts characteristics and processes the characteristics to obtain a first data aggregation set, and classifies data based on a pre-stored database to obtain a second data aggregation set. The sewage detector maps index points into a second data cluster according to sample index data extracted from the first data cluster, historical sample mapping points are obtained in the second data cluster, and a sewage index list between the first data cluster and the second data cluster is generated according to the sample index data and the historical sample mapping points. Judging whether the total number of the first characteristic clusters is the same as the total number of the multiple indexes of the sewage index list, obtaining a final sewage detection result and storing the final sewage detection result. The sewage detector converts the final sewage detection result into a data signal, and the display converts the data signal into text information and displays the text information on the display.
In a specific embodiment, in order to accurately detect the pollutant data corresponding to the water body of the target water area, the step S23 of verifying the multiple times based on the sewage detector may specifically include the following steps: the multiple checks include a first check, a second check, and a third check.
On the basis of the above, the first verification is performed based on the sewage detector, and in order to more reliably obtain the steps corresponding to the first verification, the following steps S2311 to S2316 may be specifically included.
Step S2311, extracting the first data cluster set in advance to obtain actual data and instantaneous data.
In step S2312, an instant feature value corresponding to the actual data is obtained, and an instant feature value corresponding to the instant data is obtained.
Step S2313, generating and storing an acquired data feature value based on the instant feature value and the instant feature value.
Step S2314, extracting first index data and second index data in the sewage index list; wherein the first index data is used to characterize the transient data; the second index data is used for representing the actual data.
Step S2315, obtaining third index data according to the first index data and the second index data, and taking the third index data as pre-stored data in a database.
Step S2316, performing the first verification on the pre-stored data and the collected data feature value, and processing according to the verification result to obtain a first sewage detection result.
It can be appreciated that, through the steps S2311-S2316, one type of contaminant data corresponding to the water body of the target water area can be accurately detected, so as to obtain the contaminant data corresponding to the first verification.
In the implementation process, in order to reliably determine the pollutant data corresponding to the water body of the target water area, so as to ensure the accuracy of the verification of the sewage detector, the step described in the step S23 based on the step corresponding to the second verification may specifically include the contents described in the steps a-d.
And a step a of determining a preset data list node from a preset database based on the sewage index list, wherein the preset data list node is combined to form a preset data matrix.
And b, generating sewage detection target data according to the first data aggregation set, wherein the sewage detection target data further comprises data index nodes for representing the first data aggregation set.
And c, mapping the data index nodes into the preset data matrix according to the content of the sewage detection target data so as to obtain the sewage detection identification corresponding to the data index nodes in the preset data matrix.
And d, detecting the similarity between the sewage detection identification corresponding to the data index node and the sewage detection target data to obtain the second verification corresponding pollutant data corresponding to the water body of the target water area, and processing according to the pollutant data to obtain a second sewage detection result and storing the second sewage detection result.
It can be understood that through the steps a-d, one kind of pollutant data corresponding to the water body of the target water area can be accurately detected, so as to obtain pollutant data corresponding to the first verification and pollutant data corresponding to the second verification.
In the implementation process, in order to reliably determine the pollutant data corresponding to the water body of the target water area, so as to ensure the accuracy of the verification of the sewage detector, the step described in the step S23 based on the step corresponding to the third verification may specifically include the contents described in the steps A1 to A4.
And A1, determining whether the acquired sewage track feature set is matched with a preset track feature set or not based on the sewage information distribution track when determining the sewage information distribution track corresponding to the first data cluster set.
And step A2, if the sewage track feature set is matched with the preset track feature set, and when the sewage detector finds that the first key corresponding to the sewage track feature set is consistent with the second key corresponding to the preset track feature set, the sewage detector detects that the water body of the target water area has corresponding pollutant data.
And step A3, if the sewage track feature set is not matched with the preset track feature set, the sewage detector detects that the water body of the target water area does not have corresponding pollutant data.
And step A4, analyzing a data result by the sewage detector according to the pollutant data, obtaining a final sewage detection result corresponding to the pollutant data, and storing the final sewage detection result.
It can be understood that, through the steps A1 to A4, one kind of pollutant data corresponding to the water body of the target water area can be accurately detected, and the pollutant data corresponding to the first verification, the pollutant data corresponding to the second verification, and the pollutant data corresponding to the third verification are obtained.
In a specific implementation process, in order to ensure that the data to be processed can be obtained more accurately when the data feature extraction is performed on the real-time sewage sample data, the data feature extraction is performed on the real-time sewage sample data according to the sewage detector described in the step S21 to obtain the data to be processed, and the method specifically may include the following steps S211 to S213.
Step S211, sample label information of real-time sewage sample data and distribution data of each sample are obtained; under the condition that the real-time sewage sample data comprises a first distribution identifier according to the sample label information, determining the distribution relevance between each sample distribution data of the real-time sewage sample data under a second distribution identifier opposite to the first distribution identifier and each sample distribution data of the real-time sewage sample data under the first distribution identifier according to the sample distribution data of the real-time sewage sample data under the first distribution identifier and a distribution track diagram thereof, and dividing the sample distribution data of the real-time sewage sample data under the second distribution identifier opposite to the first distribution identifier and the sample distribution data associated with the sample distribution data under the first distribution identifier into the first distribution identifiers.
Step S212, under the condition that the second distribution identifier of the real-time sewage sample data opposite to the first distribution identifier includes a plurality of sample distribution data, determining distribution relevance between the sample distribution data of the real-time sewage sample data under the second distribution identifier opposite to the first distribution identifier according to the sample distribution data of the real-time sewage sample data under the first distribution identifier and a distribution track diagram thereof, and screening the sample distribution data under the second distribution identifier opposite to the first distribution identifier according to the distribution relevance between the sample distribution data.
Step S213, a priority is set for the target sample distribution data obtained by screening according to the sample distribution data of the real-time sewage sample data under the first distribution identifier and the distribution track diagram thereof, and the target sample distribution data is divided into corresponding storage intervals under the first distribution identifier corresponding to the priority.
By applying the contents described in the steps S211 to S213, the data feature extraction can be accurately and reliably performed on the real-time sewage sample data, and the data to be processed can be obtained.
Based on the same inventive concept, there is also provided a system for sewage component detection, the system comprising: the sewage detection instrument is respectively communicated with the data acquisition equipment and the display, and is used for:
acquiring real-time sewage sample data acquired and transmitted by a water body data acquisition terminal arranged in a target water area, and extracting data characteristics of the real-time sewage sample data to obtain data to be processed; carrying out data classification on the data to be processed according to a preset data classification logic to obtain a first data aggregation set; performing data classification on historical sample data in a preset database according to the preset data classification logic to obtain a second data aggregation set;
Mapping index points into the second data cluster according to the sample index data extracted from the first data cluster set, obtaining historical sample mapping points in the second data cluster set, and generating a sewage index list between the first data cluster set and the second data cluster set according to the sample index data and the historical sample mapping points;
checking a plurality of times according to the first data aggregation set and the extracted multiple indexes of the sewage index list, and judging that the water body of the target water area is detected to have corresponding pollutants if the first feature cluster total number is detected to be the same as the multiple indexes of the sewage index list when the first data aggregation set has the first feature cluster total number; if the total number of the first characteristic clusters is different from the total number of the multiple indexes of the sewage index list, detecting that the water body of the target water area does not have corresponding pollutants; processing based on the judgment result of whether the water body of the target water area contains the corresponding pollutant or not, obtaining a final sewage detection result and storing the final sewage detection result; wherein the total number of the indexes is the total number of the feature clusters of the preset data actually possessed by the sewage index list;
And converting the final sewage detection result into a data signal, and sending the data signal to a display at a fixed clock beat, so that the display converts the data signal into text information and displays the text information.
Further, the multiple checks include a first check, a second check, and a third check.
Further, the sewage detector is specifically used for:
extracting the first data cluster set in advance to obtain actual data and instantaneous data;
acquiring an instant characteristic value corresponding to the actual data, and acquiring an instant characteristic value corresponding to the instant data;
generating and storing an acquired data characteristic value based on the instant characteristic value and the instant characteristic value;
extracting first index data and second index data in the sewage index list; wherein the first index data is used to characterize the transient data; the second index data is used for representing the actual data;
obtaining third index data according to the first index data and the second index data, and taking the third index data as pre-stored data in a database;
and carrying out the first verification on the pre-stored data and the characteristic value of the acquired data, and processing according to the verification result to obtain a first sewage detection result.
Further, the sewage detector is specifically used for:
determining preset data list nodes from a preset database based on the sewage index list, wherein the preset data list nodes are combined to form a preset data matrix;
generating sewage detection target data according to the first data aggregation set, wherein the sewage detection target data further comprises data index nodes for representing the first data aggregation set;
mapping the data index nodes into the preset data matrix according to the content of the sewage detection target data so as to obtain sewage detection identifiers corresponding to the data index nodes in the preset data matrix;
and detecting the similarity between the sewage detection identification corresponding to the data index node and the sewage detection target data to obtain the second verification corresponding pollutant data corresponding to the water body of the target water area, and processing according to the pollutant data to obtain a second sewage detection result and storing the second sewage detection result.
Further, the sewage detector is specifically used for:
when determining a sewage information distribution track corresponding to the first data clustering set, determining whether the acquired sewage track feature set is matched with a preset track feature set or not based on the sewage information distribution track;
If the sewage track feature set is matched with the preset track feature set, when the sewage detector finds that a first key corresponding to the sewage track feature set is consistent with a second key corresponding to the preset track feature set, the sewage detector detects that the water body of the target water area has corresponding pollutant data;
if the sewage track feature set is not matched with the preset track feature set, the sewage detector detects that the water body of the target water area does not have corresponding pollutant data;
and the sewage detector analyzes the data result according to the pollutant data to obtain and store a final sewage detection result corresponding to the pollutant data.
Based on the same inventive concept as described above, referring to fig. 3 in combination, a functional block diagram of the sewage component detection apparatus 500 is also provided, and a detailed description of the sewage component detection apparatus 500 is as follows. A sewage component detection apparatus 500 for use with a sewage detector, the apparatus 500 comprising:
the data acquisition module 510 is configured to acquire real-time sewage sample data acquired and transmitted by a water body data acquisition terminal disposed in a target water area, and perform data feature extraction on the real-time sewage sample data to obtain data to be processed; carrying out data classification on the data to be processed according to a preset data classification logic to obtain a first data aggregation set; performing data classification on historical sample data in a preset database according to the preset data classification logic to obtain a second data aggregation set;
An index list module 520, configured to map index points to the second data cluster set according to the sample index data extracted from the first data cluster set, obtain a historical sample mapping point in the second data cluster set, and generate a sewage index list between the first data cluster set and the second data cluster set according to the sample index data and the historical sample mapping point;
the data verification module 530 is configured to perform multiple verification according to the first data aggregation set and the extracted multiple indexes of the sewage index list, and determine that the water body in the target water area is detected to have a corresponding pollutant if the first feature cluster total number is detected to be the same as the multiple index total number of the sewage index list when the first data aggregation set has the first feature cluster total number; if the total number of the first characteristic clusters is different from the total number of the multiple indexes of the sewage index list, detecting that the water body of the target water area does not have corresponding pollutants; processing based on the judgment result of whether the water body of the target water area contains the corresponding pollutant or not, obtaining a final sewage detection result and storing the final sewage detection result; wherein the total number of the indexes is the total number of the feature clusters of the preset data actually possessed by the sewage index list;
The data display module 540 is configured to convert the final sewage detection result into a data signal, and send the data signal to a display with a fixed clock, so that the display converts the data signal into text information and displays the text information.
In summary, the method and the system for detecting the sewage components provided by the embodiment of the invention can accurately detect the corresponding pollutant data in the water body of the target water area based on the method and the system for detecting the sewage components, can accurately check the water body of the target water area based on the sewage component detection model, and can transmit the final sewage detection result to the display and display. So that the corresponding contaminant data can be accurately detected.
It is to be understood that the invention is not limited to the precise arrangements and instrumentalities shown in the drawings, which have been described above, and that various modifications and changes may be effected without departing from the scope thereof. The scope of the invention is limited only by the appended claims.
Claims (10)
1. A method for detecting a wastewater component, the method comprising:
the sewage detector acquires real-time sewage sample data acquired and transmitted by a water body data acquisition terminal arranged in a target water area, and performs data characteristic extraction on the real-time sewage sample data to obtain data to be processed; carrying out data classification on the data to be processed according to a preset data classification logic to obtain a first data aggregation set; performing data classification on historical sample data in a preset database according to the preset data classification logic to obtain a second data aggregation set;
The sewage detector maps index points into the second data clustering set according to the sample index data extracted from the first data clustering set, historical sample mapping points are obtained in the second data clustering set, and a sewage index list between the first data clustering set and the second data clustering set is generated according to the sample index data and the historical sample mapping points;
the sewage detector performs multiple verification according to the first data aggregation set and the extracted multiple indexes of the sewage index list, and when the first data aggregation set has a first feature cluster total number, if the first feature cluster total number is detected to be the same as the multiple index total number of the sewage index list, the sewage detector judges that the water body of the target water area is detected to have corresponding pollutant; if the total number of the first characteristic clusters is different from the total number of the multiple indexes of the sewage index list, detecting that the water body of the target water area does not have corresponding pollutants; processing based on the judgment result of whether the water body of the target water area contains the corresponding pollutant or not, obtaining a final sewage detection result and storing the final sewage detection result; wherein the total number of the indexes is the total number of the feature clusters of the preset data actually possessed by the sewage index list;
The sewage detector converts the final sewage detection result into a data signal, and sends the data signal to a display with a fixed clock beat, so that the display converts the data signal into text information and displays the text information.
2. The method for detecting a sewage component according to claim 1, wherein the plurality of checks includes a first check, a second check, and a third check.
3. The method of claim 2, wherein the step of performing a first check of the wastewater treatment apparatus comprises:
extracting the first data cluster set in advance to obtain actual data and instantaneous data;
acquiring an instant characteristic value corresponding to the actual data, and acquiring an instant characteristic value corresponding to the instant data;
generating and storing an acquired data characteristic value based on the instant characteristic value and the instant characteristic value;
extracting first index data and second index data in the sewage index list; wherein the first index data is used to characterize the transient data; the second index data is used for representing the actual data;
obtaining third index data according to the first index data and the second index data, and taking the third index data as pre-stored data in a database;
And carrying out the first verification on the pre-stored data and the characteristic value of the acquired data, and processing according to the verification result to obtain a first sewage detection result.
4. A method for detecting a wastewater component according to claim 3 and wherein said step of performing a second check with said wastewater detector comprises:
determining preset data list nodes from a preset database based on the sewage index list, wherein the preset data list nodes are combined to form a preset data matrix;
generating sewage detection target data according to the first data aggregation set, wherein the sewage detection target data further comprises data index nodes for representing the first data aggregation set;
mapping the data index nodes into the preset data matrix according to the content of the sewage detection target data so as to obtain sewage detection identifiers corresponding to the data index nodes in the preset data matrix;
and detecting the similarity between the sewage detection identification corresponding to the data index node and the sewage detection target data to obtain the second verification corresponding pollutant data corresponding to the water body of the target water area, and processing according to the pollutant data to obtain a second sewage detection result and storing the second sewage detection result.
5. The method of detecting a wastewater component according to claim 4, wherein the step of performing a third check with the wastewater detector comprises:
when determining a sewage information distribution track corresponding to the first data clustering set, determining whether the acquired sewage track feature set is matched with a preset track feature set or not based on the sewage information distribution track;
if the sewage track feature set is matched with the preset track feature set, when the sewage detector finds that a first key corresponding to the sewage track feature set is consistent with a second key corresponding to the preset track feature set, the sewage detector detects that the water body of the target water area has corresponding pollutant data;
if the sewage track feature set is not matched with the preset track feature set, the sewage detector detects that the water body of the target water area does not have corresponding pollutant data;
and the sewage detector analyzes the data result according to the pollutant data to obtain and store a final sewage detection result corresponding to the pollutant data.
6. A system for wastewater constituent detection, the system comprising: the sewage detection instrument is respectively communicated with the data acquisition equipment and the display, and is used for:
Acquiring real-time sewage sample data acquired and transmitted by a water body data acquisition terminal arranged in a target water area, and extracting data characteristics of the real-time sewage sample data to obtain data to be processed; carrying out data classification on the data to be processed according to a preset data classification logic to obtain a first data aggregation set; performing data classification on historical sample data in a preset database according to the preset data classification logic to obtain a second data aggregation set;
mapping index points into the second data cluster according to the sample index data extracted from the first data cluster set, obtaining historical sample mapping points in the second data cluster set, and generating a sewage index list between the first data cluster set and the second data cluster set according to the sample index data and the historical sample mapping points;
checking a plurality of times according to the first data aggregation set and the extracted multiple indexes of the sewage index list, and judging that the water body of the target water area is detected to have corresponding pollutants if the first feature cluster total number is detected to be the same as the multiple indexes of the sewage index list when the first data aggregation set has the first feature cluster total number; if the total number of the first characteristic clusters is different from the total number of the multiple indexes of the sewage index list, detecting that the water body of the target water area does not have corresponding pollutants; processing based on the judgment result of whether the water body of the target water area contains the corresponding pollutant or not, obtaining a final sewage detection result and storing the final sewage detection result; wherein the total number of the indexes is the total number of the feature clusters of the preset data actually possessed by the sewage index list;
And converting the final sewage detection result into a data signal, and sending the data signal to a display at a fixed clock beat, so that the display converts the data signal into text information and displays the text information.
7. The system of claim 6, wherein the plurality of checks comprises a first check, a second check, and a third check.
8. The system of claim 7, wherein the wastewater detector is specifically configured to:
extracting the first data cluster set in advance to obtain actual data and instantaneous data;
acquiring an instant characteristic value corresponding to the actual data, and acquiring an instant characteristic value corresponding to the instant data;
generating and storing an acquired data characteristic value based on the instant characteristic value and the instant characteristic value;
extracting first index data and second index data in the sewage index list; wherein the first index data is used to characterize the transient data; the second index data is used for representing the actual data;
obtaining third index data according to the first index data and the second index data, and taking the third index data as pre-stored data in a database;
And carrying out the first verification on the pre-stored data and the characteristic value of the acquired data, and processing according to the verification result to obtain a first sewage detection result.
9. The system of claim 8, wherein the wastewater detector is specifically configured to:
determining preset data list nodes from a preset database based on the sewage index list, wherein the preset data list nodes are combined to form a preset data matrix;
generating sewage detection target data according to the first data aggregation set, wherein the sewage detection target data further comprises data index nodes for representing the first data aggregation set;
mapping the data index nodes into the preset data matrix according to the content of the sewage detection target data so as to obtain sewage detection identifiers corresponding to the data index nodes in the preset data matrix;
and detecting the similarity between the sewage detection identification corresponding to the data index node and the sewage detection target data to obtain the second verification corresponding pollutant data corresponding to the water body of the target water area, and processing according to the pollutant data to obtain a second sewage detection result and storing the second sewage detection result.
10. The system of claim 9, wherein the wastewater treatment facility is configured to:
when determining a sewage information distribution track corresponding to the first data clustering set, determining whether the acquired sewage track feature set is matched with a preset track feature set or not based on the sewage information distribution track;
if the sewage track feature set is matched with the preset track feature set, when the sewage detector finds that a first key corresponding to the sewage track feature set is consistent with a second key corresponding to the preset track feature set, the sewage detector detects that the water body of the target water area has corresponding pollutant data;
if the sewage track feature set is not matched with the preset track feature set, the sewage detector detects that the water body of the target water area does not have corresponding pollutant data;
and the sewage detector analyzes the data result according to the pollutant data to obtain and store a final sewage detection result corresponding to the pollutant data.
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