CN113777257A - Water quality online monitoring big data analysis method, system and storage medium - Google Patents
Water quality online monitoring big data analysis method, system and storage medium Download PDFInfo
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- CN113777257A CN113777257A CN202111027625.3A CN202111027625A CN113777257A CN 113777257 A CN113777257 A CN 113777257A CN 202111027625 A CN202111027625 A CN 202111027625A CN 113777257 A CN113777257 A CN 113777257A
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- XLYOFNOQVPJJNP-UHFFFAOYSA-N water Substances O XLYOFNOQVPJJNP-UHFFFAOYSA-N 0.000 title claims abstract description 97
- 238000007405 data analysis Methods 0.000 title claims abstract description 59
- 238000012544 monitoring process Methods 0.000 title claims abstract description 54
- 238000000034 method Methods 0.000 title claims abstract description 44
- 238000004458 analytical method Methods 0.000 claims abstract description 48
- 238000001514 detection method Methods 0.000 claims abstract description 44
- 238000012545 processing Methods 0.000 claims abstract description 22
- 230000010365 information processing Effects 0.000 claims abstract description 5
- 238000011156 evaluation Methods 0.000 claims description 12
- XKMRRTOUMJRJIA-UHFFFAOYSA-N ammonia nh3 Chemical compound N.N XKMRRTOUMJRJIA-UHFFFAOYSA-N 0.000 claims description 11
- 230000005540 biological transmission Effects 0.000 claims description 9
- 238000011157 data evaluation Methods 0.000 claims description 7
- 238000012216 screening Methods 0.000 claims description 7
- 238000004891 communication Methods 0.000 claims description 4
- 238000012163 sequencing technique Methods 0.000 claims description 4
- 230000008054 signal transmission Effects 0.000 claims description 4
- 238000004590 computer program Methods 0.000 claims description 3
- 238000003911 water pollution Methods 0.000 claims description 3
- 238000003672 processing method Methods 0.000 claims description 2
- 238000013480 data collection Methods 0.000 claims 1
- 230000010354 integration Effects 0.000 abstract description 4
- 238000011109 contamination Methods 0.000 description 3
- QVGXLLKOCUKJST-UHFFFAOYSA-N atomic oxygen Chemical compound [O] QVGXLLKOCUKJST-UHFFFAOYSA-N 0.000 description 2
- 239000003344 environmental pollutant Substances 0.000 description 2
- 239000001301 oxygen Substances 0.000 description 2
- 229910052760 oxygen Inorganic materials 0.000 description 2
- 231100000719 pollutant Toxicity 0.000 description 2
- 230000009286 beneficial effect Effects 0.000 description 1
- 238000010586 diagram Methods 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 238000011897 real-time detection Methods 0.000 description 1
- 230000000717 retained effect Effects 0.000 description 1
- 239000000126 substance Substances 0.000 description 1
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N33/00—Investigating or analysing materials by specific methods not covered by groups G01N1/00 - G01N31/00
- G01N33/18—Water
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N33/00—Investigating or analysing materials by specific methods not covered by groups G01N1/00 - G01N31/00
- G01N33/18—Water
- G01N33/1806—Water biological or chemical oxygen demand (BOD or COD)
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F18/00—Pattern recognition
- G06F18/20—Analysing
- G06F18/24—Classification techniques
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02A—TECHNOLOGIES FOR ADAPTATION TO CLIMATE CHANGE
- Y02A20/00—Water conservation; Efficient water supply; Efficient water use
- Y02A20/20—Controlling water pollution; Waste water treatment
Abstract
The invention discloses a method and a system for analyzing big data of water quality on-line monitoring and a storage medium. The big data analysis method comprises the following steps: s1 providing data information collected from the monitoring terminal; s2 obtaining a data set; s3 retaining data above the threshold; s, obtaining analysis information; s5 starting the corresponding water quality treatment scheme. The method of data information processing operates as follows: s21, classifying the data information according to the acquisition type to obtain a data information set A; s22, sorting the data in the data classification set to obtain a data information set B; s23 deletes duplicate data in the data information set B, resulting in a data set. The analysis information includes a pollution value, a pollution degree and a pollution type. The invention effectively avoids repeated analysis, reduces the processing amount of data analysis and improves the orderliness of data analysis. The water quality condition can be graded and analyzed to evaluate the water quality pollution degree and realize the integration of water quality detection and treatment.
Description
Technical Field
The invention relates to the technical field of data analysis, in particular to a water quality online monitoring big data analysis method, a system for executing the big data analysis method and a computer-readable storage medium.
Background
The water quality on-line monitoring carries out real-time detection and assessment aiming at the water quality of each monitoring point, and the water quality condition is assessed by measuring the types of pollutants in the water body and the concentration and the variation trend of various pollutants through collecting indexes such as the pH value of a water sample, the concentration of suspended matters in the water sample, the ammonia nitrogen content of the water sample, the BOD and the COD of the water sample. In the process, the water quality online monitoring data needs to be processed by combining a big data analysis method to obtain a monitoring result.
However, in the current big data analysis method, the processing capacity of data analysis is large, the orderliness of data analysis is poor, the analysis rate and the online water quality monitoring efficiency are affected, and the water quality condition cannot be subjected to grading analysis, so that the water quality pollution degree needs to be manually evaluated, and the timeliness of water quality treatment is affected.
Disclosure of Invention
Therefore, it is necessary to provide a method, a system and a storage medium for analyzing large data for online water quality monitoring, aiming at the problems that the processing capacity of data analysis is large, the orderliness of data analysis is poor, the analysis rate and the online water quality monitoring efficiency are influenced, the water quality condition cannot be subjected to grading analysis, the water quality pollution degree needs to be manually evaluated, and the timeliness of water quality treatment is influenced in the current large data analysis method.
A water quality on-line monitoring big data analysis method comprises the following steps:
s1 providing data information collected from the monitoring terminal;
s2, processing the data information to obtain a data set;
the data information processing method is operated as follows:
s21, classifying the data information according to the acquisition type to obtain a data information set A;
s22, sorting the data in the data information classification set to obtain a data information set B;
s23, deleting repeated data in the data information set B to obtain a data set;
s3 analyzing the data set, retaining data above a threshold;
s4, carrying out evaluation grading processing on the data to obtain analysis information;
the analysis information comprises a pollution value, a pollution degree and a pollution type;
and S5, processing the analysis information and starting a corresponding water quality treatment scheme.
According to the big data analysis method, the data information is processed before analysis, so that repeated data can be deleted, repeated analysis is avoided, the processing amount of data analysis is reduced, and the orderliness of data analysis is improved. The water quality condition can be graded and analyzed to evaluate the water quality pollution degree, and a treatment scheme corresponding to the pollution degree is called out in time by combining water quality treatment, so that the integration of water quality detection and treatment is realized.
In one embodiment, the monitoring terminal is a town water source point; wherein, the town water source points comprise rivers, lakes and rivers.
In one embodiment, the data information set A comprises a PH set, a suspended matter concentration set, an ammonia nitrogen content set, a BOD set and a COD set.
In one embodiment, the data in the data classification set is sorted from small to large; or, the data in the data classification set is sorted from big to small.
In one embodiment, a threshold corresponding to the data set is called, the threshold is obtained by table look-up, the data set is compared with the corresponding threshold, data higher than the threshold is retained and recorded, and data lower than the threshold is deleted.
In one embodiment, the data is subjected to evaluation grading processing to obtain analysis information, and the method comprises the following operations:
s41 providing a rating index and a pollution level corresponding to the rating index;
s42 identifies in which region of the rating scale the data is located, resulting in analysis information.
A big data analysis system for executing the water quality online monitoring big data analysis method, the big data analysis system comprises:
the data acquisition unit is used for acquiring the water quality monitoring index of the monitoring terminal;
the data screening unit is used for deleting repeated data and sequencing the data information obtained by the data acquisition unit; the data screening unit comprises a classification module, a data sorting module and a data deleting module;
the processing center comprises an analysis module, a power-on and power-off control module and a communication module;
the detection data evaluation module is used for evaluating the data analyzed by the processing center and grading the water pollution degree of the monitoring terminal; and
the water quality treatment unit comprises an evaluation result feedback module, a treatment scheme scheduling module and a treatment execution module.
In one embodiment, the data acquisition unit comprises a PH detection module, a suspended matter detection module, an ammonia nitrogen detection module, a BOD detection module and a COD detection module; the water quality treatment unit further comprises an alarm module which is used for giving an early warning to a monitoring terminal with a problem in water quality.
In one embodiment, the big data analysis system further comprises an information transmission unit for transmitting, transmitting and receiving information; the information transmission unit comprises a signal transmitting module, a signal transmission module and a signal receiving module.
A computer-readable storage medium, on which a computer program is stored, which, when executed by a processor, implements the steps of the water quality on-line monitoring big data analysis method.
Compared with the prior art, the invention has the beneficial effects that:
according to the big data analysis method, the data information is processed before analysis, so that repeated data can be deleted, repeated analysis is avoided, the processing amount of data analysis is reduced, and the orderliness of data analysis is improved. The water quality condition can be graded and analyzed to evaluate the water quality pollution degree, and a treatment scheme corresponding to the pollution degree is called out in time by combining water quality treatment, so that the integration of water quality detection and treatment is realized.
According to the big data analysis system, the collected data information is classified, sorted and deleted before analysis, so that repeated data are deleted, the orderliness of data analysis is improved, repeated analysis is avoided, and the processing amount of data analysis is reduced. The water quality detection and treatment are integrated by grading the data during data analysis to correspond to the water quality pollution degree and timely calling out a treatment scheme corresponding to the pollution degree in combination with water quality treatment, and the water quality detection and treatment integrated method is good in applicability.
Drawings
Fig. 1 is a flowchart of a water quality on-line monitoring big data analysis method provided in embodiment 1 of the present invention.
Fig. 2 is a flow chart illustrating a method of data information processing in fig. 1.
FIG. 3 is a flow chart of a method for evaluating and grading the data of FIG. 1 to obtain analysis information.
Fig. 4 is a block diagram of a big data analysis system according to embodiment 2 of the present invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
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 terminology used in the description of the invention herein is for the purpose of describing particular embodiments only and is not intended to be limiting of the invention. As used herein, the term "or/and" includes any and all combinations of one or more of the associated listed items.
Example 1
Referring to fig. 1, the embodiment provides a method for analyzing large online water quality monitoring data, which is used for analyzing online water quality monitoring data. The big data analysis method comprises the following steps:
s1 provides data information collected from the monitoring terminal.
The monitoring terminal is a town water source point. Wherein the source points include rivers, lakes, and rivers.
And (3) carrying out index detection such as PH value detection, suspended matter detection in water, ammonia nitrogen detection, BOD detection, COD detection and the like on a water sample of the monitoring terminal to judge whether the water body is polluted or not and measure the pollution degree of the water body.
And S2, processing the data information to obtain a data set.
With continued reference to fig. 2, the method of data information processing operates as follows.
And S21, classifying the data information according to the acquisition type to obtain a data information set A.
The data information set A comprises a PH set, a suspended matter concentration set, an ammonia nitrogen content set, a BOD set and a COD set.
S22, data in the data information classification set are sequenced to obtain a data information set B.
The data in the data sorted sets are sorted from small to large. Or, the data in the data sort set is sorted from large to small.
S23 deletes duplicate data in the data information set B, resulting in a data set.
The collected data information is classified, sorted and deleted before analysis, so that repeated data is deleted, the orderliness of data analysis is improved, repeated analysis is avoided, and the processing amount of data analysis is reduced.
S3 analyzes the data set, retaining data above a threshold.
Calling out a threshold value of the acquisition type corresponding to the data set, obtaining the threshold value through table look-up, comparing the data set with the corresponding threshold value, keeping and recording the data higher than the threshold value, and deleting the data lower than the threshold value. And if the data is higher than the threshold value, the detection index corresponding to the data exceeds the standard value, and the water quality is in a pollution state. And if the data is lower than the threshold value, the detection index corresponding to the data is within the standard value, and the water quality is normal.
And S4, evaluating and grading the data to obtain analysis information.
Referring to fig. 3, the data is evaluated and graded to obtain the analysis information, which is performed as follows:
s41 provides the rating index and the pollution level corresponding to the rating index.
S42 identifies in which region of the rating scale the data is located, resulting in analysis information.
The analysis information includes a contamination value, a contamination degree, and a contamination type.
And (4) evaluating and grading the data higher than the threshold value according to the data value, and corresponding to dangerous pollution, severe pollution, moderate pollution and slight pollution one by one to obtain analysis information.
And S5, processing the analysis information and starting a corresponding water quality treatment scheme.
The analysis information is fed back to the treatment terminal, the analysis information and the recording scheme in the treatment terminal are inquired, and the matched treatment scheme is called out, so that the water quality treatment is carried out timely and accurately.
In summary, the big data analysis method of the embodiment has the following advantages compared with the current big data analysis method: according to the big data analysis method, the collected data information is classified, sorted and deleted before analysis, so that duplicate data are deleted, the orderliness of data analysis is improved, repeated analysis is avoided, and the processing amount of data analysis is reduced. And (3) grading is carried out during data analysis so as to correspond to the water pollution degree, and a treatment scheme corresponding to the pollution degree is called out in time by combining water treatment, so that the integration of water quality detection and treatment is realized.
Example 2
Referring to fig. 4, the present embodiment provides a big data analysis system for performing the method for analyzing big data for water quality on-line monitoring in embodiment 1. The big data analysis system comprises a data acquisition unit, a data screening unit, a processing center, a detection data evaluation module, a water quality treatment unit and an information transmission unit.
The data acquisition unit is used for acquiring the water quality monitoring index of the monitoring terminal. The monitoring terminal is a town water source point. Wherein the source points include rivers, lakes, and rivers. The data acquisition unit comprises a PH detection module, a suspended matter detection module, an ammonia nitrogen detection module, a BOD detection module and a COD detection module. The PH value data of the corresponding monitor terminal water sample is collected through the PH detection module, the suspended matter detection module collects the suspended matter concentration data of the corresponding monitor terminal water sample, the ammonia nitrogen detection module collects the ammonia nitrogen data of the corresponding monitor terminal water sample, the BOD detection module collects the biological oxygen demand data of the corresponding monitor terminal water sample, and the COD detection module collects the chemical oxygen demand data of the corresponding monitor terminal water sample. The data acquisition process is carried out regularly according to preset interval time.
The data screening unit is used for deleting repeated data and sequencing the data information obtained by the data acquisition unit. The data screening unit comprises a classification module, a data sorting module and a data deleting module.
The data information input by the data acquisition unit is classified by the classification module and is divided into a PH set, a suspended matter concentration set, an ammonia nitrogen content set, a BOD set and a COD set according to the acquisition type. The data sorting module sorts the data sets, which is illustrated by sorting from small to large in this embodiment, and in other embodiments, the sorting may also be performed from large to small. Repeated data in each sequencing of the regions are deleted through the data deleting module, so that subsequent repeated data processing is avoided.
And the processing center is used for summarizing and analyzing the detection data of each monitoring terminal. The processing center comprises an analysis module, a power-on and power-off control module and a communication module. The power on/off control module is used for maintaining the power supply of the system, and the communication module is used for realizing the remote and real-time transmission between the data information of the monitoring terminal and the analysis terminal, so that the real-time processing of the monitoring data is realized. The sorted data set is transmitted to an analysis module. Calling out the corresponding type of threshold value through an analysis module, wherein the threshold value is obtained through table look-up, comparing the sorted data set with the corresponding threshold value, and reserving and recording the data higher than the threshold value.
And the detection data evaluation module is used for evaluating the data obtained by the analysis of the processing center and grading the water quality pollution degree of the monitoring terminal. And grading the data higher than the threshold value by a detection data evaluation module to obtain data analysis information, wherein the grading corresponds to dangerous pollution, severe pollution, moderate pollution and slight pollution one by one according to the size of the data value.
And the water quality treatment unit starts a corresponding treatment scheme according to the evaluation result obtained by the processing of the detection data evaluation unit. The water quality treatment unit comprises an evaluation result feedback module, a treatment scheme scheduling module, a treatment execution module and an alarm module. The analysis information obtained by the detection data evaluation module is sent to the corresponding treatment terminal through the evaluation result feedback module, and the treatment scheme scheduling module calls out the treatment scheme corresponding to the analysis information recorded by the system and transmits the treatment scheme to the treatment execution module to start the scheme, so that the water quality treatment is carried out on the monitoring terminal corresponding to the analysis information. The alarm module is used for early warning the monitoring terminal with the problem in water quality.
The information transmission unit is used for sending, transmitting and receiving information. The information transmission unit comprises a signal transmitting module, a signal transmission module and a signal receiving module. The signal transmitting module is used for transmitting the data information/evaluation information in the form of an electric signal, the signal transmitting module is used for transmitting the transmitted data information/evaluation information to the next processing unit/monitoring terminal, and the signal receiving module is used for receiving the data information/evaluation information. The ordered operation of the big data analysis system is realized through an information transmission unit formed by the cooperative matching of the signal transmitting module, the signal transmission module and the signal receiving module.
In summary, the big data analysis system of the embodiment classifies, sorts, and deletes the collected data information before analysis, so as to delete duplicate data, improve the ordering of data analysis, avoid duplicate analysis, and reduce the processing amount of data analysis. The water quality detection and treatment are integrated by grading the data during data analysis to correspond to the water quality pollution degree and timely calling out a treatment scheme corresponding to the pollution degree in combination with water quality treatment, and the water quality detection and treatment integrated method is good in applicability.
Example 3
The present embodiment provides a computer-readable storage medium having a computer program stored thereon. When the program is executed by the processor, the steps of the water quality on-line monitoring big data analysis method of the embodiment 1 are realized. When the method for analyzing the large data for online monitoring of water quality in embodiment 1 is applied, the method can be applied in the form of software, for example, a program which is designed to be independently run by a computer-readable storage medium, the computer-readable storage medium can be a U-disk or a U-shield, and the U-disk is designed to be a program which starts the whole method based on external triggering.
The technical features of the embodiments described above may be arbitrarily combined, and for the sake of brevity, all possible combinations of the technical features in the embodiments described above are not described, but should be considered as being within the scope of the present specification as long as there is no contradiction between the combinations of the technical features.
The above examples are merely illustrative of several embodiments of the present invention, and the description thereof is more specific and detailed, but not to be construed as limiting the scope of the invention. It should be noted that, for a person skilled in the art, several variations and modifications can be made without departing from the inventive concept, which falls within the scope of the present invention. Therefore, the protection scope of the present invention should be subject to the appended claims.
Claims (10)
1. A water quality on-line monitoring big data analysis method is characterized by comprising the following steps:
s1 providing data information collected from the monitoring terminal;
s2, processing the data information to obtain a data set;
the data information processing method is operated as follows:
s21, classifying the data information according to the acquisition type to obtain a data information set A;
s22, sorting the data in the data information classification set to obtain a data information set B;
s23, deleting repeated data in the data information set B to obtain a data set;
s3 analyzing the data set, retaining data above a threshold;
s4, carrying out evaluation grading processing on the data to obtain analysis information;
the analysis information comprises a pollution value, a pollution degree and a pollution type;
and S5, processing the analysis information and starting a corresponding water quality treatment scheme.
2. The method for analyzing the big data of the online water quality monitoring according to claim 1, wherein the monitoring terminal is a town water source point; wherein, the town water source points comprise rivers, lakes and rivers.
3. The method for analyzing the big data of the online water quality monitoring system according to claim 1, wherein the data information set A comprises a PH set, a suspended matter concentration set, an ammonia nitrogen content set, a BOD set and a COD set.
4. The water quality on-line monitoring big data analysis method according to claim 1, characterized in that the data in the data classification set are sorted from small to big;
or, the data in the data classification set is sorted from big to small.
5. The method for analyzing the big data of the online water quality monitoring system according to claim 1, wherein a threshold corresponding to the data set is called out, the threshold is obtained by table lookup, the data set is compared with the corresponding threshold, data higher than the threshold are reserved and recorded, and data lower than the threshold are deleted.
6. The method for analyzing the big data of the online water quality monitoring system according to claim 1, wherein the data is subjected to evaluation and grading to obtain analysis information, and the method comprises the following operations:
s41 providing a rating index and a pollution level corresponding to the rating index;
s42 identifies in which region of the rating scale the data is located, resulting in analysis information.
7. A big data analysis system for performing a water quality on-line monitoring big data analysis method as claimed in any one of claims 1 to 6, the big data analysis system comprising:
the data acquisition unit is used for acquiring the water quality monitoring index of the monitoring terminal;
the data screening unit is used for deleting repeated data and sequencing the data information obtained by the data acquisition unit; the data screening unit comprises a classification module, a data sorting module and a data deleting module;
the processing center comprises an analysis module, a power-on and power-off control module and a communication module;
the detection data evaluation module is used for evaluating the data analyzed by the processing center and grading the water pollution degree of the monitoring terminal; and
the water quality treatment unit comprises an evaluation result feedback module, a treatment scheme scheduling module and a treatment execution module.
8. The big data analysis system according to claim 7, wherein the data collection unit comprises a PH detection module, a suspended matter detection module, an ammonia nitrogen detection module, a BOD detection module and a COD detection module;
the water quality treatment unit further comprises an alarm module which is used for giving an early warning to a monitoring terminal with a problem in water quality.
9. The big data analysis system according to claim 7, further comprising an information transmission unit for transmitting, transmitting and receiving information;
the information transmission unit comprises a signal transmitting module, a signal transmission module and a signal receiving module.
10. A computer-readable storage medium, on which a computer program is stored, characterized in that the program, when executed by a processor, implements the steps of a water quality on-line monitoring big data analysis method according to any one of claims 1 to 6.
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