CN112084382A - Pretreatment method for three-dimensional fluorescence data of water quality of industrial park pollution source - Google Patents

Pretreatment method for three-dimensional fluorescence data of water quality of industrial park pollution source Download PDF

Info

Publication number
CN112084382A
CN112084382A CN202010921139.5A CN202010921139A CN112084382A CN 112084382 A CN112084382 A CN 112084382A CN 202010921139 A CN202010921139 A CN 202010921139A CN 112084382 A CN112084382 A CN 112084382A
Authority
CN
China
Prior art keywords
data
pollutants
pollution source
dimensional fluorescence
sewage
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Pending
Application number
CN202010921139.5A
Other languages
Chinese (zh)
Inventor
丁训林
杨齐红
王万青
孙刚忠
李明超
任福林
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Anhui Sihuan Technology Co ltd
Original Assignee
Anhui Sihuan Technology Co ltd
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Anhui Sihuan Technology Co ltd filed Critical Anhui Sihuan Technology Co ltd
Priority to CN202010921139.5A priority Critical patent/CN112084382A/en
Publication of CN112084382A publication Critical patent/CN112084382A/en
Pending legal-status Critical Current

Links

Images

Classifications

    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/90Details of database functions independent of the retrieved data types
    • G06F16/903Querying
    • G06F16/9035Filtering based on additional data, e.g. user or group profiles
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01NINVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N21/00Investigating or analysing materials by the use of optical means, i.e. using sub-millimetre waves, infrared, visible or ultraviolet light
    • G01N21/62Systems in which the material investigated is excited whereby it emits light or causes a change in wavelength of the incident light
    • G01N21/63Systems in which the material investigated is excited whereby it emits light or causes a change in wavelength of the incident light optically excited
    • G01N21/64Fluorescence; Phosphorescence
    • G01N21/645Specially adapted constructive features of fluorimeters
    • G01N21/6456Spatial resolved fluorescence measurements; Imaging
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/90Details of database functions independent of the retrieved data types
    • G06F16/906Clustering; Classification
    • GPHYSICS
    • G08SIGNALLING
    • G08BSIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
    • G08B7/00Signalling systems according to more than one of groups G08B3/00 - G08B6/00; Personal calling systems according to more than one of groups G08B3/00 - G08B6/00
    • G08B7/06Signalling systems according to more than one of groups G08B3/00 - G08B6/00; Personal calling systems according to more than one of groups G08B3/00 - G08B6/00 using electric transmission, e.g. involving audible and visible signalling through the use of sound and light sources

Landscapes

  • Engineering & Computer Science (AREA)
  • General Physics & Mathematics (AREA)
  • Databases & Information Systems (AREA)
  • Physics & Mathematics (AREA)
  • Theoretical Computer Science (AREA)
  • Health & Medical Sciences (AREA)
  • General Engineering & Computer Science (AREA)
  • Data Mining & Analysis (AREA)
  • Computational Linguistics (AREA)
  • Nuclear Medicine, Radiotherapy & Molecular Imaging (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • Chemical & Material Sciences (AREA)
  • Analytical Chemistry (AREA)
  • Biochemistry (AREA)
  • General Health & Medical Sciences (AREA)
  • Immunology (AREA)
  • Pathology (AREA)
  • Investigating, Analyzing Materials By Fluorescence Or Luminescence (AREA)

Abstract

The invention discloses a pretreatment method for three-dimensional fluorescence data of water quality of a pollution source in an industrial park, which comprises the following specific steps: aiming at the industrial types in the industrial park, judging the types of the generated pollutants and wastes, and classifying and summarizing the components of the pollutants possibly generated; sampling and processing the water body to be detected at fixed time and fixed point, and then carrying out three-dimensional fluorescence detection; comparing the detected sample data with a standard, collecting the data when the types of the comparison results exceed the standard values, collecting and comparing the collected data through corresponding overrun indexes, and screening out the suspected pollution sources and the suspected pollution sources; the treatment is carried out on the sewage which is a pollution source necessarily. The invention can carry out interception of sewage and waste on a determined pollution source, greatly ensures the protection of the environment, can timely give out early warning, timely treats the source of the sewage and waste, and meets the use requirements of people in production and life.

Description

Pretreatment method for three-dimensional fluorescence data of water quality of industrial park pollution source
Technical Field
The invention relates to the technical field of environmental monitoring equipment, in particular to a preprocessing method for three-dimensional fluorescence data of water quality of a pollution source in an industrial park.
Background
The three-dimensional fluorescence spectrum is a Matrix spectrum (Excitation-Emission-Matrix spectrum) characterized by three-dimensional coordinates of Excitation wavelength (y-axis)), Emission wavelength (x-axis), and fluorescence intensity (z-axis), and is also called Total luminescence spectrum (Total luminescence spectrum). A typical fluorescence spectrum is a plan view of the fluorescence intensity versus emission wavelength scan. Obviously, the three-dimensional fluorescence spectrum technology can not only obtain the excitation wavelength and the emission wavelength, but also obtain the fluorescence intensity information when the fluorescence intensity changes. The three-dimensional fluorescence spectrum generally has two representation modes of a three-dimensional projection graph and a contour line fluorescence spectrum graph.
In current production life, at the in-process that carries out the detection of pollutant to the water leg in river reach or the industry garden, current means is the discharge port of the enterprise in all industry gardens or the upstream and downstream of river reach, and the water quality monitoring device is all installed, and the consumption of equipment is very huge, and is very big to the cost of the control of quality of water, and the data is very huge, causes people at the very difficulty of water quality monitoring.
Disclosure of Invention
The invention aims to solve the problems in the prior art and provides a method for preprocessing three-dimensional fluorescence data of water quality of an industrial park pollution source.
In order to achieve the purpose, the invention adopts the following technical scheme:
the pretreatment method for the three-dimensional fluorescence data of the water quality of the industrial park pollution source comprises the following specific steps:
the method comprises the following steps: aiming at the industrial types in the industrial park, judging the types of the generated pollutants and wastes, and classifying and summarizing the components of the pollutants possibly generated;
step two: sampling and processing the water body to be detected at fixed time and fixed point, and then carrying out three-dimensional fluorescence detection;
step three: comparing the detected sample data with a standard, collecting the data when the types of the comparison results exceed the standard values, collecting and comparing the collected data through corresponding overrun indexes, and screening out the suspected pollution sources and the suspected pollution sources;
step four: the sewage is guided by a guide device, a buzzer is touched, and a corresponding alarm lamp is made to flash;
step five: and (4) carrying out early warning and further detection on the suspicious pollution source, giving an alarm by the buzzer, and lighting a corresponding alarm lamp.
As a further scheme of the invention, the water quality of pollutants which are possibly generated is mixed and then three-dimensional fluorescence treatment is carried out, after corresponding pollution is added into the water body in unit volume, the content of the pollutants reaches the related specified minimum line, the corresponding polluted water body is subjected to three-dimensional fluorescence detection, the related data of the pollutants are classified as comparison standards to be integrated and filed, and the highest value is removed from the data standards of the same pollutants.
As a further aspect of the present invention, the buzzer and the warning lamp are different in sound and color generated when the determined pollution source and the suspected pollution source are directed to the industry on the campus, respectively.
As a further aspect of the invention, in the integration of the associated data, the data comparison between the various pollutants, as well as the necessity and correlation between the pollutants, is performed to reverse the source of the pollution.
As a further scheme of the invention, when the determined pollution source is treated, the sewage is guided into the sewage buffer area through the guide mechanism, and the subsequent treatment of the sewage is carried out after the subsequent detection.
As a further aspect of the invention, the process involving the integration of pollutant components, the comparison between data and overrun indicators is processed by a processor and the buzzer and warning light are controlled.
Compared with the prior art, the invention provides the pretreatment method for the three-dimensional fluorescence data of the water quality of the pollution source in the industrial park, which has the following beneficial effects:
according to the invention, through sampling and detecting near the sewage discharge outlet of the industrial park and the river reach, and after data integration and comparison, accurate pollutants are determined, further traceability is carried out, early warning is carried out on the pollution source after traceability is completed, and sewage and waste closure is carried out on the determined pollution source, so that the environmental protection is greatly ensured, early warning can be timely provided, the sewage and waste source can be timely treated, and the use requirements of people in production and life are met.
Drawings
FIG. 1 is a schematic flow chart of a pretreatment method for three-dimensional fluorescence data of water quality of an industrial park pollution source according to 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.
In the description of the present invention, it is to be understood that the terms "upper", "lower", "front", "rear", "left", "right", "top", "bottom", "inner", "outer", and the like, indicate orientations or positional relationships based on the orientations or positional relationships shown in the drawings, are merely for convenience in describing the present invention and simplifying the description, and do not indicate or imply that the device or element being referred to must have a particular orientation, be constructed and operated in a particular orientation, and thus, should not be construed as limiting the present invention.
Example one
Referring to fig. 1, the preprocessing method for three-dimensional fluorescence data of water quality of a pollution source in an industrial park judges the types of generated sewage and wastes according to the industrial types in the industrial park, and classifies and summarizes the components of pollutants possibly generated;
step two: sampling and processing the water body to be detected at fixed time and fixed point, and then carrying out three-dimensional fluorescence detection;
step three: comparing the detected sample data with a standard, collecting the data when the types of the comparison results exceed the standard values, collecting and comparing the collected data through corresponding overrun indexes, and screening out the suspected pollution sources and the suspected pollution sources;
step four: the sewage is guided by a guide device, a buzzer is touched, and a corresponding alarm lamp is made to flash;
step five: and (4) carrying out early warning and further detection on the suspicious pollution source, giving an alarm by the buzzer, and lighting a corresponding alarm lamp.
The invention can carry out interception of sewage and waste on a determined pollution source, greatly ensures the protection of the environment, can timely give out early warning, timely treats the source of the sewage and waste, and meets the use requirements of people in production and life.
Example two
As shown in fig. 1, this embodiment is substantially the same as embodiment 1, and preferably, after water quality mixing is performed on pollutants that may be generated, three-dimensional fluorescence processing is performed, after corresponding pollution is added in a unit volume of water, the content of the pollutants reaches a related specified minimum line, three-dimensional fluorescence detection is performed on the corresponding polluted water, data classification of the related pollutants is used as a comparison standard for integration and archiving, and the highest value is removed from the data standards of the same pollutants.
EXAMPLE III
As shown in fig. 1, this embodiment is substantially the same as embodiment 1, and preferably, the buzzer and the alarm lamp are respectively used when the determined pollution source and the suspected pollution source are directed to the industry in the garden
Example four
As shown in fig. 1, this embodiment is substantially the same as embodiment 1, and preferably, when the integration of the associated data is performed, the data comparison between various pollutants, and the necessity and correlation between the pollutants, are performed, so as to reverse the pollution source.
EXAMPLE five
As shown in fig. 1, this embodiment is substantially the same as embodiment 1, and preferably, when the sewage is treated with respect to the determined pollution source, the sewage is guided into the sewage buffer area by the guide mechanism, and the sewage is subjected to the subsequent treatment after the subsequent detection.
EXAMPLE six
As shown in fig. 1, this embodiment is substantially the same as embodiment 1, and it is preferable that the process involving the integration of pollutant components, the comparison between data and overrun index is processed by a processor, and the buzzer and warning lamp are controlled.
The above description is only for the preferred embodiment of the present invention, but the scope of the present invention is not limited thereto, and any person skilled in the art should be considered to be within the technical scope of the present invention, and the technical solutions and the inventive concepts thereof according to the present invention should be equivalent or changed within the scope of the present invention.

Claims (6)

1. A pretreatment method for three-dimensional fluorescence data of water quality of pollution sources in industrial parks is characterized by comprising the following specific steps:
the method comprises the following steps: aiming at the industrial types in the industrial park, judging the types of the generated pollutants and wastes, and classifying and summarizing the components of the pollutants possibly generated;
step two: sampling and processing the water body to be detected at fixed time and fixed point, and then carrying out three-dimensional fluorescence detection;
step three: comparing the detected sample data with a standard, collecting the data when the types of the comparison results exceed the standard values, collecting and comparing the collected data through corresponding overrun indexes, and screening out the suspected pollution sources and the suspected pollution sources;
step four: the sewage is guided by a guide device, a buzzer is touched, and a corresponding alarm lamp is made to flash;
step five: and (4) carrying out early warning and further detection on the suspicious pollution source, giving an alarm by the buzzer, and lighting a corresponding alarm lamp.
2. The pretreatment method for the three-dimensional fluorescence data of the water quality of the industrial park pollution source according to claim 1, characterized in that the three-dimensional fluorescence treatment is carried out after the water quality mixing of the pollutants possibly generated, the corresponding pollutants are added in the water body in unit volume, so that the content of the pollutants reaches the related specified minimum line, the three-dimensional fluorescence detection is carried out on the corresponding polluted water body, the related data of the pollutants are classified as the comparison standards to be integrated and filed, and the highest value is removed from the data standards of the pollutants of the same kind.
3. The method for preprocessing the three-dimensional fluorescence data of the water quality of the industrial park pollution source according to claim 1, wherein the buzzer and the alarm lamp generate different sounds and colors when the determined pollution source and the suspected pollution source are respectively aimed at the industry in the park.
4. The method of claim 1, wherein the data comparison between various pollutants and the certainty and relevance between the pollutants are carried out in the integration of the correlation data, so as to reversely deduce the pollution source.
5. The pretreatment method for the three-dimensional fluorescence data of the water quality of the industrial park pollution source according to claim 4, characterized in that when the determined pollution source is treated, the sewage is guided into the sewage buffer zone through the guide mechanism, and the subsequent treatment of the sewage is carried out after the subsequent detection.
6. The method of claim 4, wherein the integration of pollutant components, the comparison between data and overrun indicators, and the control of the buzzer and warning light are processed by a processor.
CN202010921139.5A 2020-09-04 2020-09-04 Pretreatment method for three-dimensional fluorescence data of water quality of industrial park pollution source Pending CN112084382A (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN202010921139.5A CN112084382A (en) 2020-09-04 2020-09-04 Pretreatment method for three-dimensional fluorescence data of water quality of industrial park pollution source

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN202010921139.5A CN112084382A (en) 2020-09-04 2020-09-04 Pretreatment method for three-dimensional fluorescence data of water quality of industrial park pollution source

Publications (1)

Publication Number Publication Date
CN112084382A true CN112084382A (en) 2020-12-15

Family

ID=73732004

Family Applications (1)

Application Number Title Priority Date Filing Date
CN202010921139.5A Pending CN112084382A (en) 2020-09-04 2020-09-04 Pretreatment method for three-dimensional fluorescence data of water quality of industrial park pollution source

Country Status (1)

Country Link
CN (1) CN112084382A (en)

Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN115219472A (en) * 2022-08-12 2022-10-21 生态环境部华南环境科学研究所(生态环境部生态环境应急研究所) Method and system for quantitatively identifying multiple pollution sources of mixed water body

Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN105352928A (en) * 2015-11-14 2016-02-24 常州大学 Rapid identification and quantitative analysis method for water pollution based on three-dimensional fluorescence spectrum
CN105699345A (en) * 2016-01-25 2016-06-22 耿春茂 Method for measuring pollutants by virtue of combination of three-dimensional fluorescence spectrum and PARAFAC algorithm
WO2020010701A1 (en) * 2018-07-11 2020-01-16 平安科技(深圳)有限公司 Pollutant anomaly monitoring method and system, computer device, and storage medium
CN110702648A (en) * 2019-09-09 2020-01-17 浙江大学 Fluorescent spectrum pollutant classification method based on non-subsampled contourlet transformation
CN210983490U (en) * 2019-10-18 2020-07-10 重庆华悦生态环境工程研究院有限公司 Water quality sudden pollution dynamic early warning information monitoring system

Patent Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN105352928A (en) * 2015-11-14 2016-02-24 常州大学 Rapid identification and quantitative analysis method for water pollution based on three-dimensional fluorescence spectrum
CN105699345A (en) * 2016-01-25 2016-06-22 耿春茂 Method for measuring pollutants by virtue of combination of three-dimensional fluorescence spectrum and PARAFAC algorithm
WO2020010701A1 (en) * 2018-07-11 2020-01-16 平安科技(深圳)有限公司 Pollutant anomaly monitoring method and system, computer device, and storage medium
CN110702648A (en) * 2019-09-09 2020-01-17 浙江大学 Fluorescent spectrum pollutant classification method based on non-subsampled contourlet transformation
CN210983490U (en) * 2019-10-18 2020-07-10 重庆华悦生态环境工程研究院有限公司 Water quality sudden pollution dynamic early warning information monitoring system

Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN115219472A (en) * 2022-08-12 2022-10-21 生态环境部华南环境科学研究所(生态环境部生态环境应急研究所) Method and system for quantitatively identifying multiple pollution sources of mixed water body

Similar Documents

Publication Publication Date Title
Mason et al. Synthetic polymer contamination in bottled water
Frère et al. A semi-automated Raman micro-spectroscopy method for morphological and chemical characterizations of microplastic litter
CN102116610A (en) Automatic on-line detection method and device for size of automobile parts based on machine vision
Kang et al. How can we trace microplastics in wastewater treatment plants: A review of the current knowledge on their analysis approaches
CN102262078B (en) Method of atomic fluorescence spectrometry shape analysis by on-line pre-reducing trivalent arsonium and quinquivalent arsonium, and its apparatus
CN1079301A (en) Monitoring in the time of the multiple water treatment performance indicators
CN1418358A (en) Improvements relating to smoke detectors particularly ducted smoke detectors
CN112084382A (en) Pretreatment method for three-dimensional fluorescence data of water quality of industrial park pollution source
CN1656371A (en) Surface defect judging method
CN109975262A (en) One kind optimizing full spectrum monitoring COD method based on three-dimensional fluorescence domain integral method
CN106483171A (en) A kind of water quality heavy metal pollution monitoring system
CN112540078B (en) Method for rapid and accurate colorimetric detection of heavy metal ions
CN105445211B (en) A kind of water quality trend forecasting method based on ultraviolet absorption spectroscopy
Adami et al. Bivalves and heavy metals in polluted sediments: a chemometric approach
CN114252386A (en) Sample detection method and sample analyzer
CN115219472B (en) Method and system for quantitatively identifying multiple pollution sources of mixed water body
CN108982704A (en) A kind of method of Intelligent detecting industrial waste gas pollution sources
CA2437005A1 (en) Method for determining and evaluating defects in a sample surface
CN1431485A (en) Method for measuring chemistry oxygen consumption of sea water based on luminous intensity principle of ozone oxidation
Choran et al. Micro-flow imaging for in-situ and real-time enumeration and identification of microplastics in water
CN113720983A (en) Method for rapidly detecting total phosphorus in effluent of sewage treatment plant
CN106645322A (en) Control method for monitoring system of water heavy metal pollution
CN207703705U (en) A kind of sewage turbidity intellectual monitoring control device
Uurasjärvi Microplastics: A challenge for environmental analytical chemistry
CN108414477A (en) Seawater chlorophyll a, phycocyanin and phycoerythrin parameter measuring apparatus and method

Legal Events

Date Code Title Description
PB01 Publication
PB01 Publication
SE01 Entry into force of request for substantive examination
SE01 Entry into force of request for substantive examination
RJ01 Rejection of invention patent application after publication

Application publication date: 20201215

RJ01 Rejection of invention patent application after publication