阅读说明：本技术 水质多特征预警溯源系统及方法 (Water quality multi-feature early warning traceability system and method ) 是由 梁漫春 袁宏永 苏国锋 杨思航 曹毅 李梅 黎岢 于 2021-08-02 设计创作，主要内容包括：本发明公开了一种水质多特征预警溯源系统及方法,其中,系统包括：在线测量模块,包括：荧光光谱测量模块,用于获取样品的荧光信息；紫外光谱测量模块,用于获取样品的水质多参数信息；自动样品制备模块,提供条件；在线测量模块,用于通过和水污染识别预警模块完成样品的在线测量；实验室测量模块,包括：用于多样品自动供样设备和水污染识别预警模块协同以完成所述样品自动测量。本发明所提供的水污染源自动测量系统,利用深度学习算法将测量数据与不同行业工厂水质标准指纹库进行匹配,计算测量水样与所属区域污染产生工厂的标准水样库匹配程度。而且拓宽水污染识别预警仪的应用场景,云溯源技术实时更新补充水污染数据库。(The invention discloses a water quality multi-characteristic early warning traceability system and a method, wherein the system comprises: an online measurement module comprising: the fluorescence spectrum measurement module is used for acquiring fluorescence information of the sample; the ultraviolet spectrum measuring module is used for acquiring water quality multi-parameter information of the sample; an automated sample preparation module to provide conditions; the online measurement module is used for completing online measurement of the sample through the water pollution identification early warning module; a laboratory measurement module comprising: the device is used for the cooperation of the multi-sample automatic sample supply equipment and the water pollution recognition early warning module to finish the automatic measurement of the sample. The automatic measuring system for the water pollution source utilizes a deep learning algorithm to match measured data with the standard fingerprint libraries of water quality of factories in different industries, and calculates the matching degree of a measured water sample and the standard water sample library of a factory with regional pollution generation. And the application scenes of the water pollution recognition early warning instrument are widened, and the cloud traceability technology updates the supplementary water pollution database in real time.)

1. The utility model provides a quality of water multi-feature early warning traceability system which characterized in that includes: a water pollution recognition early warning module, an on-line measuring module and a laboratory measuring module, wherein,

the online measurement module comprises:

the fluorescence spectrum measurement module is used for acquiring fluorescence information of the sample and providing fingerprint data for a deep learning algorithm;

the ultraviolet spectrum measurement module is used for acquiring water quality parameter information of the sample and providing water quality parameter data for the deep learning algorithm;

an automatic sample preparation module providing conditions for the fluorescence spectrum measurement module and the ultraviolet spectrum measurement module; the online measurement module is used for completing online measurement of the sample through the water pollution identification early warning module;

the laboratory measurement module comprising: the automatic sample feeding device is used for cooperating with the water pollution recognition early warning module to finish the automatic measurement of the sample.

2. The water quality multi-feature early warning traceability system of claim 1,

the fluorescence spectrum measurement module includes: a fluorescence spectrometer;

the ultraviolet spectrum measuring module comprises: an ultraviolet spectrometer.

3. The water quality multi-feature early warning traceability system of claim 2, wherein the fluorescence spectrum measurement module and the ultraviolet spectrum measurement module are both started to measure under the control of the system.

4. The water quality multi-feature early warning traceability system of claim 1, wherein the automatic sample preparation module comprises: a peristaltic pump, an NC solenoid valve and a control group for a variety of functions of aspiration, quantification, dilution and tube cleaning of the sample.

5. The water quality multi-feature early warning traceability system of claim 1, wherein the ultraviolet spectrum measurement module is further configured to obtain a plurality of turbidity, nitrate nitrogen, total carbon, chemical oxygen demand and suspension parameter information of the water quality.

6. The water quality multi-feature early warning traceability system of claim 1, wherein the online measurement module is further configured to perform two working modes, namely a time interval measurement mode and a real-time trigger measurement mode, wherein the two working modes can only be in one working mode at a time; wherein the content of the first and second substances,

the timing interval measurement mode carries out measurement once at regular intervals and carries out task planning by setting the starting time and the interval time;

the real-time trigger measurement mode is used for carrying out real-time trigger measurement in an idle mode, and the real-time trigger measurement is used for immediately carrying out the sample sampling measurement.

7. The water quality multi-feature early warning traceability system of claim 1, wherein the online measurement module is further configured to draw the sample through the automatic sample preparation module and the ultraviolet spectrum measurement module to obtain measurement data, obtain the measurement data and transmit the measurement data to a cloud, the cloud conducts traceability according to the measurement data to obtain a result, and returns the result to the water pollution recognition early warning module, wherein if fluorescence measurement data exceeds a preset threshold, the cloud issues a task of dilution measurement to the water pollution recognition early warning module according to the measurement data.

8. The water quality multi-feature early warning traceability system of claim 1, wherein the laboratory measurement module,

the water taking pipe of the water pollution identification early warning module is connected to the sampling output pipe of the multi-sample automatic sample supply device in an automatic measurement mode so as to carry out continuous measurement and single measurement; and the number of the first and second groups,

the automatic multi-sample feeding device is not equipped in a manual measurement mode, and only one sample is sampled and measured at a time.

9. The water quality multi-feature early warning traceability system of claim 8, further comprising: the module is measured continuously and the measurement is carried out,

the continuous measurement module is used for under the continuous measurement condition, the automatic sample supply equipment of many samples detects sample quantity with the position information of sample dish is put to the sample, water pollution discernment early warning module to the automatic sample supply equipment of many samples sends and measures appointed serial number sample dish instruction, the automatic sample supply equipment of many samples reads the sample two-dimensional code information of appointed sample dish serial number, and draws the sample measures, with measured data with two-dimensional code information sends to the high in the clouds, the high in the clouds will trace to the source the result and send for water pollution discernment early warning module.

10. The detection method applied to the water quality multi-feature early warning traceability system of any one of claims 1 to 9 is characterized by comprising the following steps: water pollution discernment early warning, on-line measuring and laboratory measurement, wherein, on-line measuring includes:

acquiring fluorescence information of a sample, and providing fingerprint data for a deep learning algorithm;

acquiring water quality parameter information of the sample, and providing water quality parameter data for the deep learning algorithm;

providing conditions for said obtaining fluorescence information of a sample and said obtaining parameter information of said sample; and the number of the first and second groups,

completing online measurement of the sample through water pollution identification early warning;

and the laboratory measurement is carried out by the cooperation of multi-sample automatic sample supply and the water pollution recognition early warning to finish the automatic sample measurement.

Technical Field

The invention relates to the technical field of water quality monitoring, in particular to a multi-characteristic early warning and tracing system for water quality.

Background

Aiming at the water pollution recognition early warning technology, the conventional five parameters of water quality (dissolved oxygen, water temperature, conductivity, pH, turbidity), COD, ammonia nitrogen, total phosphorus and other on-line water quality monitoring equipment are mainly adopted at present, and whether the water quality is polluted or not is judged according to the national, local and other relevant water quality parameter standards; the equipment has high maintenance cost and long monitoring periodicity at present; aiming at water pollution tracing, a water pollution early warning tracing instrument is mainly used at present, a three-dimensional fluorescence detection method is utilized to collect a water quality three-dimensional fluorescence spectrum in real time, and the real-time early warning and tracing are carried out on a sewage water quality source according to the corresponding relation of the peak position, the intensity and the like of the spectrum; information such as anions, organic matters, metals and the like is used as the identification basis of the pollution source.

The prior art has the following disadvantages:

on the basis of on-line water quality monitoring equipment for conventional five parameters (dissolved oxygen, water temperature, conductivity, pH and turbidity), COD (chemical oxygen demand), ammonia nitrogen, total phosphorus and the like of water quality, the monitoring time is long, the sensitivity of the monitoring technology is insufficient (for example, COD is difficult to detect organic matters containing more than 3 benzene rings), and especially effective identification and early warning are difficult to carry out on inorganic pollutant water samples;

the existing water pollution early warning tracing instrument can identify and early warn most organic matters by utilizing a three-dimensional fluorescence spectrum detection method, and for heavy metals and pollutants with weak fluorescence response, the quenching influence of the types and concentrations of the pollutants on fluorescence is avoided, so that the water quality is difficult to effectively early warn;

the method for identifying the pollution source through the characteristic pollutants is feasible, but is unstable in practicability and low in application and popularization value. The characteristic pollutants have large difference, and the detection equipment has more detection equipment and sometimes can not be captured. The Beijing university of chemical industry proposes that information such as anions, organic matters, metals and the like is used as chemical fingerprints of pollution sources to identify the pollution sources, and the defects of high investment, complex operation, overlarge database establishment workload and the like can limit large-scale application.

Disclosure of Invention

The present invention is directed to solving, at least to some extent, one of the technical problems in the related art.

The invention solves the problems of water pollution identification and early warning under complex matrixes aiming at water pollution of drinking water, surface water, underground water and the like, and breaks through the problems of insufficient timeliness of conventional water quality online monitoring, difficult sewage source identification and the like.

Therefore, the invention aims to provide a water quality multi-feature early warning traceability system, which obtains water quality multi-parameters and a three-dimensional fluorescence fingerprint spectrum by comprehensively using an ultraviolet spectrometer and a fluorescence spectrometer, transmits all measured data to a cloud server, matches the measured data with water quality standard fingerprint libraries of factories in different industries by using a deep learning algorithm, and calculates the matching degree of a measured water sample and a standard water sample library of a pollution generation factory to which the measured water sample belongs.

The invention also aims to provide a water quality multi-characteristic early warning tracing method.

In order to achieve the above object, an embodiment of the present invention provides a water quality multi-feature early warning traceability system, including: a water pollution recognition early warning module, an on-line measuring module and a laboratory measuring module, wherein,

the online measurement module comprises:

the fluorescence spectrum measurement module is used for acquiring fluorescence information of the sample and providing fingerprint data for a deep learning algorithm;

the ultraviolet spectrum measurement module is used for acquiring water quality parameter information of the sample and providing parameter data for the deep learning algorithm;

an automatic sample preparation module providing conditions for the fluorescence spectrum measurement module and the ultraviolet spectrum measurement module; the online measurement module is used for completing online measurement of the sample through the water pollution identification early warning module;

the laboratory measurement module comprising: the automatic sample feeding device is used for cooperating with the water pollution recognition early warning module to finish the automatic measurement of the sample.

According to the water quality multi-feature early warning traceability system, the ultraviolet spectrometer and the fluorescence spectrometer are comprehensively used, water quality multi-parameters and a three-dimensional fluorescence fingerprint spectrum are obtained, all measurement data are transmitted to the cloud server, the measurement data are matched with water quality standard fingerprint libraries of factories in different industries through a deep learning algorithm, and the matching degree of a measurement water sample and a standard water sample library of a factory polluted by the area to which the measurement water sample belongs is calculated.

In addition, the water quality multi-feature early warning traceability system according to the embodiment of the invention can also have the following additional technical features:

further, in one embodiment of the present invention, the fluorescence spectrum measurement module includes: a fluorescence spectrometer; the ultraviolet spectrum measuring module comprises: an ultraviolet spectrometer.

Further, in one embodiment of the present invention, the fluorescence spectrum measurement module and the ultraviolet spectrum measurement module both initiate measurements under control of the system.

Further, in one embodiment of the present invention, the automated sample preparation module comprises: a peristaltic pump, an NC solenoid valve and a control group for a variety of functions of aspiration, quantification, dilution and tube cleaning of the sample.

Further, in an embodiment of the present invention, the ultraviolet spectrum measurement module is further configured to obtain multiple kinds of turbidity, nitrate nitrogen, total carbon, chemical oxygen demand, and suspension parameter information of the water quality.

Further, in an embodiment of the present invention, the online measurement module is further configured to use two working modes, namely a timing interval measurement mode and a real-time trigger measurement mode, where the two working modes can only be in one of the two working modes at the same time; wherein the content of the first and second substances,

the timing interval measurement mode carries out measurement once at regular intervals and carries out task planning by setting the starting time and the interval time;

the real-time trigger measurement mode is used for carrying out real-time trigger measurement in an idle mode, and the real-time trigger measurement is used for immediately carrying out the sample sampling measurement.

Further, in an embodiment of the present invention, the online measurement module is further configured to draw the sample through the automatic sample preparation module and the ultraviolet spectrum measurement module to obtain measurement data, obtain the measurement data and transmit the measurement data to a cloud, the cloud performs tracing according to the measurement data to obtain a result, and returns the result to the water pollution recognition and early warning module, wherein if fluorescence measurement data exceeds a preset threshold, the cloud issues a task of dilution measurement to the water pollution recognition and early warning module according to the measurement data.

Further, in an embodiment of the present invention, the laboratory measurement module is configured to, in an automatic measurement mode, connect the water intake pipe of the water pollution recognition and early warning module to the sampling output pipe of the multi-sample automatic sample supply device for continuous measurement and single measurement; and the number of the first and second groups,

the automatic multi-sample feeding device is not equipped in a manual measurement mode, and only one sample is sampled and measured at a time.

Further, in an embodiment of the present invention, the method further includes: the module is measured continuously and the measurement is carried out,

the continuous measurement module is used for under the continuous measurement condition, the automatic sample supply equipment of many samples detects sample quantity with the position information of sample dish is put to the sample, water pollution discernment early warning module to the automatic sample supply equipment of many samples sends and measures appointed serial number sample dish instruction, the automatic sample supply equipment of many samples reads the sample two-dimensional code information of appointed sample dish serial number, and draws the sample measures, with measured data with two-dimensional code information sends to the high in the clouds, the high in the clouds will trace to the source the result and send for water pollution discernment early warning module.

In order to achieve the above object, an embodiment of the present invention provides a detection method applied to a water quality multi-feature early warning tracing apparatus, including the following steps:

acquiring fluorescence information of a sample, and providing fingerprint data for a deep learning algorithm;

acquiring water quality multi-parameter information of the sample, and providing parameter data for the deep learning algorithm;

providing conditions for said obtaining fluorescence information of a sample and said obtaining parameter information of said sample; and the number of the first and second groups,

completing online measurement of the sample through water pollution identification early warning;

and the laboratory measurement is carried out by the cooperation of multi-sample automatic sample supply and the water pollution recognition early warning to finish the automatic sample measurement.

The embodiment of the invention is applied to a detection method of a water quality multi-feature early warning traceability system, the ultraviolet spectrometer and the fluorescence spectrometer are comprehensively used, water quality multi-parameters and a three-dimensional fluorescence fingerprint spectrum are obtained, all measurement data are transmitted to a cloud server, the measurement data are matched with water quality standard fingerprint libraries of factories in different industries by using a deep learning algorithm, and the matching degree of a measurement water sample and a standard water sample library of a factory polluted by the area to which the measurement water sample belongs is calculated.

Additional aspects and advantages of the invention will be set forth in part in the description which follows and, in part, will be obvious from the description, or may be learned by practice of the invention.

Drawings

The foregoing and/or additional aspects and advantages of the present invention will become apparent and readily appreciated from the following description of the embodiments, taken in conjunction with the accompanying drawings of which:

fig. 1 is a block diagram of hardware components of a water pollution recognition and early warning system according to an embodiment of the present invention;

fig. 2 is a schematic structural diagram of a water quality multi-feature early warning traceability system according to an embodiment of the present invention;

FIG. 3 is a schematic diagram of an automated sample preparation and UV spectroscopy piping diagram according to one embodiment of the present invention;

FIG. 4 is a schematic diagram of a data measurement system according to one embodiment of the present invention;

FIG. 5 is a flow chart of sample bottle detection according to one embodiment of the present invention;

FIG. 6 is a flow diagram of sample detection monitoring according to one embodiment of the present invention;

fig. 7 is a flowchart of a detection method applied to a water quality multi-feature early warning tracing apparatus according to an embodiment of the invention.

Detailed Description

Reference will now be made in detail to embodiments of the present invention, examples of which are illustrated in the accompanying drawings, wherein like or similar reference numerals refer to the same or similar elements or elements having the same or similar function throughout. The embodiments described below with reference to the drawings are illustrative and intended to be illustrative of the invention and are not to be construed as limiting the invention.

The water quality multi-feature early warning traceability system and the method provided by the embodiment of the invention are described below with reference to the accompanying drawings, and firstly, the water quality multi-feature early warning traceability system provided by the embodiment of the invention is described with reference to the accompanying drawings.

The invention is applied as follows: the method solves the important national requirements on early warning of sudden water pollution events and identification of water pollution emission sources in important environment supervision services such as drinking water safety, pollution source supervision, water pollution accident emergency and the like, and supports the current environment management and supervision work, and the method has the following scenes:

1) the system assists a water conservancy bureau, Wei-Jian-Wei and the like to monitor and detect the water quality of drinking water sources, reservoirs and the like in a multi-characteristic manner, and early warning is timely performed to guarantee the safety of public drinking water;

2) the water pollution prevention and control supervision and treatment unit related to ecological environment departments, housing and urban and rural construction departments, municipal administration and the like is assisted to perform the work of water pollution prevention and control, black and odorous water body treatment, river and lake growth implementation, drainage basin/regional pollution control, urban ecological environment protection and the like;

3) the system helps a social detection and maintenance company to solve the labor gap of detection and analysis personnel, and performs water pollution source tracing investigation, water quality and quantity detection, online monitoring and the like in an automatic and intelligent manner;

4) the device is deployed in a laboratory and is matched with multi-sample automatic sample supply equipment to realize automatic continuous measurement and analysis of a plurality of samples.

The invention mainly comprises a water pollution identification and early warning system and equipment, wherein the equipment comprises a fluorescence spectrum measurement module, an automatic sample preparation and ultraviolet spectrum measurement module, a multi-sample automatic sample supply device (matched product) and the like, and is shown in figure 1.

Fig. 2 is a schematic structural diagram of a water quality multi-feature early warning traceability system according to an embodiment of the present invention.

As shown in fig. 2, the water quality multi-feature early warning traceability system 10 includes:

the water pollution recognition early warning module 100, the online measurement module 200 and the laboratory measurement module 300.

Wherein, the online measurement module 200 includes: and the fluorescence spectrum measurement module 300 is used for acquiring fluorescence information of the sample and providing fingerprint data for the deep learning algorithm.

Specifically, the water pollution recognition early warning system mainly comprises an industrial control computer, software of a fluorescence spectrometer arranged on the industrial control computer and automatic water pollution recognition early warning control software. And the management and control of the whole system are realized.

It is understood that the fluorescence spectrum measurement module 300 is mainly composed of a fluorescence spectrometer and supporting software. The fluorescence spectrometer and the matched software can start measurement under the control of the water pollution identification early warning system. Fluorescence information of the sample to be detected is obtained through a fluorescence spectrometer, and fingerprint data are provided for a subsequent deep learning algorithm.

Fig. 3 is a schematic structural diagram of an automatic sample preparation and uv spectrum measurement pipeline according to an embodiment of the present invention, as shown in fig. 3.

And the ultraviolet spectrum measuring module 400 is used for acquiring parameter information of the sample and providing parameter data for the deep learning algorithm.

Specifically, the ultraviolet spectrum measurement module 400 mainly includes an ultraviolet spectrometer. The ultraviolet spectrometer can start measurement under the control of the water pollution recognition early warning system. And acquiring related parameter information of the sample to be tested through the ultraviolet spectrometer, and providing data for a subsequent deep learning algorithm. The ultraviolet spectrum measurement can obtain the related information of turbidity, nitrate nitrogen, total carbon, chemical oxygen demand, suspension degree and the like of the water quality.

The automatic sample preparation module 500 provides conditions for the fluorescence spectrum measurement module 300 and the ultraviolet spectrum measurement module 400.

Specifically, the automatic sample preparation module 500 is mainly composed of a peristaltic pump, an NC solenoid valve and corresponding controls, and realizes the functions of sample water absorption, quantification, dilution, pipeline cleaning and the like. Conditions are provided for fluorescence spectroscopy and ultraviolet spectroscopy.

And the online measurement module 200 is used for completing online measurement of the sample through the online measurement module and the water pollution recognition early warning module 100.

Fig. 4 is a schematic structural diagram of a data measurement system according to an embodiment of the present invention, as shown in fig. 4:

specifically, the water pollution recognition early warning system can be deployed at a water quality monitoring point, a certain amount of sample water is drawn from a sampling point at intervals through the automatic sample preparation module 500 and the ultraviolet spectrum measurement module 400, and measurement data is acquired and transmitted to the cloud. And the cloud end traces the source according to the measurement data, and the obtained result is returned to the water supply pollution recognition early warning system. And if the fluorescence measurement data exceeds the range, the cloud end issues a dilution measurement task to the water pollution recognition early warning system according to the measurement data.

The on-site on-line measurement can realize two working modes of timing measurement and real-time trigger measurement. The two working modes can only be in one working mode at the same time. The working mode can be set by a cloud end and also can be set locally, and synchronous updating is needed after the setting is completed.

The timing interval measurement mode is to perform measurement at regular intervals. The start time and the interval time can be set in a parameterization mode by setting the start time and the interval time for task planning.

The instrument can perform real-time trigger measurement in an idle mode. Real-time triggering is immediate sample taking measurements.

A laboratory measurement module 600 comprising: the automatic sample feeding device is used for cooperating with the water pollution recognition early warning module 100 to complete automatic measurement of the sample.

The laboratory measurement has two modes, namely automatic measurement and manual measurement.

Fig. 5 is a flowchart of a sample bottle inspection work according to an embodiment of the present invention, and fig. 6 is a flowchart of a sample inspection monitoring according to an embodiment of the present invention, as shown in fig. 6:

automatic measurement must be equipped with a multi-sample automatic sample feeding system. The water intake pipe of the water pollution identification early warning device is connected to the sampling output pipe of the multi-sample automatic sample supply system. Continuous and single measurements can be achieved. In the case of continuous measurement, all samples to be measured are placed on the sample tray of the multi-sample automatic sample feeding system, and the multi-sample automatic sample feeding system can detect the number of samples and the position information of the samples placed on the sample tray. The water pollution recognition early warning system 100 sends an instruction of measuring a sample tray with a specified number to the multi-sample automatic sample supply system. The multi-sample automatic sample supply system reads sample water two-dimensional code information of a specified sample plate number, then draws a certain amount of sample water for measurement, the control system packs and sends measurement data and the two-dimensional code information to the cloud, and the cloud downloads a tracing result to the water pollution recognition early warning system 100.

The manual measurement refers to that the measurement of only one sample at a time can be carried out without a multi-sample automatic sample supply system.

The water pollution identification and early warning system can be deployed at a water quality monitoring point, and can realize on-line continuous automatic measurement of the water quality monitoring point according to time task planning. The water pollution identification and early warning system can also be deployed in a laboratory and is matched with multi-sample automatic sample supply equipment to realize automatic continuous measurement and analysis of a plurality of samples.

Most of conventional online water pollution monitoring equipment is suitable for fields or monitoring stations, and tests of the same indexes adopted in laboratories mainly adopt table equipment and need to be operated by related professionals; the device provided by the invention can be simultaneously suitable for field or monitoring station and laboratory detection, during the laboratory detection, the unattended automatic detection can be realized through the multi-sample automatic sample supply system, and the intelligent unmanned operation can be carried out on the water sample collected on site; the cloud tracing technology provided by the invention transmits the data measured on the equipment to the cloud. And the cloud end performs calculation and analysis according to the measurement data to obtain a tracing result and returns the tracing result to the water supply pollution recognition and early warning system. And if the fluorescence measurement data exceeds the range, the cloud end issues a task of dilution measurement to the system according to the measurement data.

The cloud tracing technology provided by the invention transmits the data measured on the equipment to the cloud. And the cloud end performs calculation and analysis according to the measurement data to obtain a tracing result, returns the tracing result to the water supply pollution recognition and early warning system, supplements a pollution source database in real time and provides a data source for optimization of the tracing model.

According to the multi-characteristic early warning traceability system of the water quality, disclosed by the embodiment of the invention, through the online measuring module, the system comprises: the fluorescence spectrum measurement module is used for acquiring fluorescence information of the sample; the ultraviolet spectrum measuring module is used for acquiring parameter information of the sample; an automated sample preparation module to provide conditions; the online measurement module is used for completing online measurement of the sample through the water pollution identification early warning module; a laboratory measurement module comprising: the device is used for the cooperation of the multi-sample automatic sample supply equipment and the water pollution recognition early warning module to finish the automatic measurement of the sample. According to the automatic water pollution source measuring system provided by the invention, the ultraviolet spectrometer and the fluorescence spectrometer are comprehensively used to obtain water quality multi-parameters and a three-dimensional fluorescence fingerprint spectrum, the measured data are transmitted to the cloud server, the deep learning algorithm is utilized to match the measured data with the water quality standard fingerprint libraries of factories in different industries, the matching degree of the measured water sample and the standard water sample library of the factory with regional pollution generation is calculated, the application scene of the water pollution identification early warning instrument is widened, and the cloud traceability technology updates the supplemented water pollution data in real time.

The detection method applied to the water quality multi-feature early warning traceability system provided by the embodiment of the invention is described with reference to the attached drawings.

Fig. 7 is a flowchart of a detection method applied to a water quality multi-feature early warning traceability system according to an embodiment of the present invention.

As shown in fig. 7, the detection method applied to the water quality multi-feature early warning traceability system includes:

water pollution discernment early warning, on-line measuring and laboratory measurement, wherein, on-line measuring includes:

acquiring fluorescence information of a sample, and providing fingerprint data for a deep learning algorithm;

acquiring parameter information of a sample, and providing parameter data for a deep learning algorithm;

providing conditions for obtaining fluorescence information of the sample and obtaining water quality multi-parameter information of the sample; and the number of the first and second groups,

completing online measurement of the sample through water pollution identification and early warning;

and (4) measuring in a laboratory, and completing automatic measurement of the sample by cooperation of automatic sample supply of multiple samples and water pollution recognition early warning.

It should be noted that the explanation of the embodiment of the water quality multi-feature early warning traceability system is also applicable to the detection method applied to the water quality multi-feature early warning traceability system of the embodiment, and is not repeated herein.

According to the detection method applied to the water quality multi-feature early warning traceability system provided by the embodiment of the invention, water pollution recognition early warning, online measurement and laboratory measurement are carried out, wherein the online measurement comprises the following steps: acquiring fluorescence information of a sample, and providing fingerprint data for a deep learning algorithm; acquiring parameter information of a sample, and providing parameter data for a deep learning algorithm; providing conditions for obtaining fluorescence information of the sample and parameter information of the sample; and completing online measurement of the sample through water pollution identification and early warning; and (4) measuring in a laboratory, and completing automatic measurement of the sample by cooperation of automatic sample supply of multiple samples and water pollution recognition early warning. According to the automatic water pollution source measuring system provided by the invention, the ultraviolet spectrometer and the fluorescence spectrometer are comprehensively used to obtain water quality multi-parameters and a three-dimensional fluorescence fingerprint spectrum, the measured data are transmitted to the cloud server, the deep learning algorithm is utilized to match the measured data with the water quality standard fingerprint libraries of factories in different industries, the matching degree of the measured water sample and the standard water sample library of the factory with regional pollution generation is calculated, the application scene of the water pollution recognition early warning instrument is widened, and the cloud traceability technology is used for updating the supplementary water pollution database in real time.

Furthermore, the terms "first", "second" and "first" are used for descriptive purposes only and are not to be construed as indicating or implying relative importance or implicitly indicating the number of technical features indicated. Thus, a feature defined as "first" or "second" may explicitly or implicitly include at least one such feature. In the description of the present invention, "a plurality" means at least two, e.g., two, three, etc., unless specifically limited otherwise.

In the description herein, references to the description of the term "one embodiment," "some embodiments," "an example," "a specific example," or "some examples," etc., mean that a particular feature, structure, material, or characteristic described in connection with the embodiment or example is included in at least one embodiment or example of the invention. In this specification, the schematic representations of the terms used above are not necessarily intended to refer to the same embodiment or example. Furthermore, the particular features, structures, materials, or characteristics described may be combined in any suitable manner in any one or more embodiments or examples. Furthermore, various embodiments or examples and features of different embodiments or examples described in this specification can be combined and combined by one skilled in the art without contradiction.

Although embodiments of the present invention have been shown and described above, it is understood that the above embodiments are exemplary and should not be construed as limiting the present invention, and that variations, modifications, substitutions and alterations can be made to the above embodiments by those of ordinary skill in the art within the scope of the present invention.