CN111965125A - Online monitoring system and monitoring method for water quality - Google Patents
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Abstract
The invention provides a water quality on-line monitoring system, which comprises: the system comprises an Internet of things sensing system, an analysis system and a remote transmission and monitoring system for acquiring water quality information; the internet of things perception system comprises: the system comprises a temperature sensor, a flow sensor, a full spectrum water quality sensor and an A/D converter; the full spectrum water quality sensor comprises: the full spectrum probe comprises a power supply, a xenon lamp light source, an ultrasonic cleaning device, a sample injection groove, a light source display device, a spectrum detection module and a reserved sensor node. The invention has the following advantages: reagent is not needed, no secondary pollution is caused, and the cost of the reagent is saved; meanwhile, multi-parameter measurement is realized, and the high equipment cost required by the traditional split monitoring system is greatly reduced; self-cleaning, maintenance-free, simple and convenient operation, long service life and reduced operation and maintenance cost.
Description
Technical Field
The invention relates to the technical field of water quality online monitoring, in particular to a water quality online monitoring system.
Background
With the progress of the scientific and technical level, the water quality on-line monitoring technology is greatly developed, but the environmental monitoring requirement is continuously improved along with the development of the environmental protection industry, particularly the development of intelligent water affairs. In order to implement environmental protection laws of the people's republic of China and standardize ecological environment monitoring work, eleven national environmental protection standards such as sewage monitoring technical specifications are implemented in 3 months in 2020, and ten development requirements of water on intelligent water affairs, village and town sewage treatment and the like are met, so that a wide market space is provided for an online monitoring system.
The traditional monitoring method mainly adopts chemical dosing as a measuring method, each index needs to be realized by a separate instrument, the manufacturing cost of an analytical instrument, the cost of medicine and the cost of manual maintenance are high, and secondary pollution is caused, so that the technology of the traditional colorimetric method can not meet the requirements of the intelligent environment-friendly industry more and more. The full spectrum technology under the new potential is considered to be one of the novel water quality on-line monitoring technologies with the most development significance and value at present, and the technology is based on the Lambert-beer law, establishes a model by utilizing the relation between absorbance in a certain wavelength range and water quality parameters, brings the absorbance condition in the corresponding wavelength range of a measured solution into the model, and obtains the water quality parameter value through inversion. The demand of the full spectrum equipment which is free of reagent and maintenance and can realize multi-parameter measurement at the same time is gradually increased, and the intelligent online monitoring system based on the full spectrum technology is gradually accepted by the market and favored by researchers.
The intelligent online monitoring technology based on the full spectrum is developed slowly at home, the research work for online monitoring of water quality at home is started later than that at abroad, and the product still has a larger development space in the aspects of data processing, intelligence, stability, analysis precision, service life and the like compared with that at abroad. Therefore, a reliable, economic and intelligent water quality online monitoring system is urgently to be developed, automatic monitoring and evaluation are carried out on water quality indexes of urban waters, scientific and intelligent big data support is provided for environmental protection, the working efficiency and the supervision capability of environmental protection and related functional departments are improved, and the purpose of intelligent environmental protection is finally achieved.
Disclosure of Invention
The invention aims to overcome the problems of high instrument manufacturing cost, high medicine cost, high manual maintenance cost, secondary pollution and the like of the traditional online monitoring system and provides a reliable, economic and intelligent water quality online monitoring system. An intelligent on-line water quality monitoring system is composed of an Internet of things sensing system, an intelligent analysis system, a remote transmission and monitoring system, and features use of digital signal processing technique, radio communication technique and database management technique to realize remote management and control of on-line city water quality monitoring instrument and equipment, and the inversion test indexes established by mathematical model.
The technical means adopted by the invention are as follows: a water quality on-line monitoring system is characterized by comprising: the system comprises an Internet of things sensing system, an analysis system and a remote transmission and monitoring system for acquiring water quality information;
the internet of things perception system comprises: the system comprises a temperature sensor, a flow sensor, a full spectrum water quality sensor and an A/D converter;
the full spectrum water quality sensor comprises: the full-spectrum probe comprises a power supply, a xenon lamp light source, an ultrasonic cleaning sample feeding groove, a light source display, a spectrum detection module and a reserved sensor node;
the analysis system includes: the system comprises an analytical instrument, a data calibration output end, an information acquisition input end, an automatic cleaning signal output end, a memory, a CPU (central processing unit), an editable display, a tool box and a direct-current power supply;
the remote transmission and monitoring system comprises: the system comprises a communicator, a communication module, a monitoring terminal and a remote monitoring center system.
The invention also comprises a water quality online monitoring method, which is characterized by comprising the following steps:
step S1: immersing the full-spectrum probe into a water sample to be monitored, wherein the wavelength of a measuring beam emitted by a xenon lamp light source is 200-750 nm, and the measuring beam penetrating through the water sample to be monitored and a reference beam not penetrating through the water sample are formed by the light beam after passing through a sampling groove; the A/D converter completes analog-digital conversion and A/D amplification and transmits the spectrum to the microprocessor for operation and analysis;
step S2: the CPU processor performs operation analysis through beer's law and multi-component quantitative analysis; according to the different characteristic absorption spectra corresponding to different substances and the addition of absorbance, the CPU microprocessor calculates water quality parameters by using a simultaneous equation of the concentrations of the organic substances to be measured;
step S3: the memory stores the optical wavelength absorbance of the organic substances and the corrected weighting parameter data of the water quality parameters; performing intelligent analysis on the sewage data information obtained in the step S2 by the CPU in combination with the storage data of the memory and the preset water pollution index data;
carrying out big data processing by simulating biological neuron information transmission and processing through an artificial neural network, establishing a full-waveband absorption spectrum self-learning resolving model, and carrying out numerical compensation on test parameters so as to obtain the water quality parameters;
step S4: the CPU processor is connected with the storage module, the display module, the alarm module, the wireless communication module and the relay, and the communication module is wirelessly connected with the monitoring center and used for monitoring a plurality of monitoring systems; the remote transmission and monitoring system comprises a monitoring terminal, a wireless transmission module, a cloud interconnection module and a remote monitoring center system, wherein the monitoring terminal can automatically acquire water quality information or acquire the water quality information according to a command of a gateway node, and upload the water quality information to a gateway node, denoising is performed before transmission, the monitoring gateway node uploads the water quality information to a cloud database of the remote monitoring module through TCP/IP (transmission control protocol/Internet protocol), and the data enters the data monitoring platform at any time through a mobile phone APP and a network address, and meanwhile, the cloud interconnection module can also receive an instruction from the remote monitoring center;
step S5: a user can enter a monitoring data platform through an authorization code, and real-time information is obtained in a report form mode and a dynamic curve mode; the monitoring platform is provided with an editable page for setting a standard value, when the parameter of water exceeds a threshold value, the platform sends out a warning prompt and timely sends out emergency scheduling instructions such as stopping sewage discharge and the like to monitoring site managers, so that the environment is prevented from being polluted.
Further, the absorbance is additive, and the total absorbance of the mixture of absorbing substances at a certain wavelength is equal to the arithmetic sum of the absorbance of each component at the corresponding wavelength:
wherein Au represents the total absorbance at a certain wavelength, and Ai represents the absorbance of the ith substance at the certain wavelength; n represents a substance having absorbance at the specific wavelength; ki. Ci represents the light absorption ratio and the substance concentration of the i-th substance, respectively.
Furthermore, the wavelength of the measuring beam emitted by the xenon lamp light source is 200-750 nm.
Compared with the prior art, the invention has the following advantages:
1) reagent is not needed, no secondary pollution is caused, and the cost of the reagent is saved; meanwhile, multi-parameter measurement is realized, and the high equipment cost required by the traditional split monitoring system is greatly reduced; self-cleaning, maintenance-free, simple and convenient operation, long service life and reduced operation and maintenance cost;
2) acquiring a water quality monitoring spectrum signal in a larger spectrum measurement range, and establishing a data analysis library for comparison, wherein the anti-interference capability is strong, and the accuracy is high; the online monitoring technology can realize multiple groups of targets for simultaneous monitoring, has strong data contrast and provides scientific and intelligent big data support for intelligent water affairs;
3) the automatic degree is high, PLC full automatic control can realize unmanned on duty and continuous operation, and equipment operation is simple and convenient. The water quality online monitoring system is really developed towards the direction of high efficiency, omnibearing, pollution-free and networking, and the aims of high efficiency, convenience, environmental protection, intelligence and the like of the water quality online monitoring technology are fulfilled.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings needed to be used in the description of the embodiments or the prior art will be briefly introduced below, and it is obvious that the drawings in the following description are some embodiments of the present invention, and for those skilled in the art, other drawings can be obtained according to these drawings without creative efforts.
FIG. 1 is a functional block diagram of the structure of the on-line monitoring system of the present invention.
FIG. 2 is a structural diagram of the water quality on-line monitoring device of the present invention.
Wherein, 1, a full spectrum intelligent probe; 11. a power source; 12. a xenon light source; 13. ultrasonic cleaning; 14. a sample feeding groove; 15. a light source display; 16. a spectrum detection module; 17. reserving sensor nodes; 2. an analyzer; 21. a data calibration output; 22. an information acquisition input terminal; 23. automatically cleaning a signal output end; 24. a memory; 25. a CPU processor; 26. an editable display; 27. a tool box; 28. a direct current power supply; 3. a communicator; 31. and a communication module.
Detailed Description
In order to make the technical solutions of the present invention better understood, 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.
It should be noted that the terms "first," "second," and the like in the description and claims of the present invention and in the drawings described above are used for distinguishing between similar elements and not necessarily for describing a particular sequential or chronological order. It is to be understood that the data so used is interchangeable under appropriate circumstances such that the embodiments of the invention described herein are capable of operation in sequences other than those illustrated or described herein. Furthermore, the terms "comprises," "comprising," and "having," and any variations thereof, are intended to cover a non-exclusive inclusion, such that a process, method, system, article, or apparatus that comprises a list of steps or elements is not necessarily limited to those steps or elements expressly listed, but may include other steps or elements not expressly listed or inherent to such process, method, article, or apparatus.
As shown in fig. 1-2, the present invention provides an online water quality monitoring system, comprising: the system comprises an Internet of things sensing system, an analysis system and a remote transmission and monitoring system for acquiring water quality information;
the internet of things perception system comprises: the system comprises a temperature sensor, a flow sensor, a full spectrum water quality sensor and an A/D converter;
the full spectrum water quality sensor comprises: the system comprises a full-spectrum probe 1, a light source module and a control module, wherein the full-spectrum probe comprises a power supply 11, a xenon lamp light source 12, an ultrasonic cleaning module 13, a sample introduction groove 14, a light source display 15, a spectrum detection module 16 and a reserved sensor node 17;
the analysis system includes: the system comprises an analytical instrument 2, a data calibration output end 21, an information acquisition input end 22, an automatic cleaning signal output end 23, a memory 24, a CPU 25, an editable display 26, a tool box 27 and a direct current power supply 28;
the remote transmission and monitoring system comprises: communicator 3, communication module 31, monitor terminal and remote monitoring center system.
Measuring light beams penetrate through a water sample to a light source receiving device, spectrums are displayed on a receiving surface of a detection array of an array photometer through an imaging reflector after dispersion, each spectrum is irradiated to a pixel of a corresponding detector through a formed spectrum surface, the array photometer can measure high-resolution spectrums with different wavelengths, optical signals on the pixels of the corresponding detectors are converted into electronic signals at one time, analog-digital conversion and A/D amplification are completed through an A/D converter, and finally the spectrums are transmitted to a microprocessor for operation and analysis; the reference light velocity intensity is detected by the light sensor without penetrating the light beam.
As a preferred, the present application also includes an online water quality monitoring method of an online water quality monitoring system, comprising the steps of:
step S1: immersing the full-spectrum probe into a water sample to be monitored, wherein the xenon lamp light source 12 emits a measuring beam with the wavelength of 200-750 nm, and the measuring beam penetrating through the water sample to be monitored and a reference beam not penetrating through the water sample are formed by the beams after passing through a sampling groove; the A/D converter completes analog-digital conversion and A/D amplification and transmits the spectrum to the microprocessor for operation and analysis;
step S2: the CPU 25 performs operation analysis through beer's law and multicomponent quantitative analysis; according to the different characteristic absorption spectra corresponding to different substances and the addition of absorbance, the CPU microprocessor 25 calculates the water quality parameters by using a simultaneous equation of the concentrations of the organic substances to be measured;
step S3: the memory stores the optical wavelength absorbance of the organic substances and the corrected weighting parameter data of the water quality parameters; performing intelligent analysis on the sewage data information obtained in the step S2 by the CPU in combination with the storage data of the memory and the preset water pollution index data;
carrying out big data processing by simulating biological neuron information transmission and processing through an artificial neural network, establishing a full-waveband absorption spectrum self-learning resolving model, and carrying out numerical compensation on test parameters so as to obtain the water quality parameters;
step S4: the CPU processor is connected with the storage module, the display module, the alarm module, the wireless communication module and the relay, and the communication module is wirelessly connected with the monitoring center and used for monitoring a plurality of monitoring systems; the remote transmission and monitoring system comprises a communicator, a communication module, a monitoring terminal and a remote monitoring center system, wherein the monitoring terminal can automatically acquire water quality information or acquire the water quality information according to a command of a gateway node, and upload the water quality information to a gateway node, denoising is performed before transmission, the monitoring gateway node uploads the water quality information to a cloud database of the remote monitoring module through a TCP/IP (transmission control protocol/Internet protocol), and the data enters the data monitoring platform at any time through a mobile phone APP (application) and a network address, and meanwhile, the monitoring terminal can also receive an instruction from the remote monitoring center through a cloud interconnection module;
step S5: a user can enter a monitoring data platform through an authorization code, and real-time information is obtained in a report form mode and a dynamic curve mode; the monitoring platform is provided with an editable page for setting a standard value, when the parameter of water exceeds a threshold value, the platform sends out a warning prompt and timely sends out emergency scheduling instructions such as stopping sewage discharge and the like to monitoring site managers, so that the environment is prevented from being polluted.
In the present application, the absorbances are additive, and the total absorbance of a mixture of absorbing substances at a certain wavelength is equal to the arithmetic sum of the absorbances of the components at the corresponding wavelengths:
wherein Au represents the total absorbance at a certain wavelength, and Ai represents the absorbance of the ith substance at the certain wavelength; n represents a substance having absorbance at the specific wavelength; ki. Ci represents the light absorption ratio and the substance concentration of the i-th substance, respectively.
Example 1
The water quality on-line monitoring system is characterized in that an intelligent probe is 54mm in diameter and 480mm in length, an ultrasonic self-cleaning system is adopted, the system is integrally designed, and a matched monitoring equipment box is 600mm multiplied by 300mm in size and can be simultaneously connected with four sensors. The measurable parameters and range are pH 0-14, and the flow rate is 0.1m3/h-99999.99m3The temperature is-40-80 ℃, the COD is 0-4000 mg/L, TN 0-300 mg/L, the ammonia nitrogen is 0-100 mg/L, TP 0-30 mg/L, and the turbidity/SS is 0-5000 NTU. The monitoring gateway is additionally provided with a 4G/GPRS module on the basis of adopting a monitoring terminal wireless transmission module, is placed in an area covered by a wide area network, keeps communicating with a remote monitoring center, and adopts a complete IP video monitoring system.
TABLE 1 Main design parameters
The above-mentioned serial numbers of the embodiments of the present invention are merely for description and do not represent the merits of the embodiments.
In the above embodiments of the present invention, the descriptions of the respective embodiments have respective emphasis, and for parts that are not described in detail in a certain embodiment, reference may be made to related descriptions of other embodiments.
In the embodiments provided in the present application, it should be understood that the disclosed technology can be implemented in other ways. The above-described embodiments of the apparatus are merely illustrative, and for example, the division of the units may be a logical division, and in actual implementation, there may be another division, for example, multiple units or components may be combined or integrated into another system, or some features may be omitted, or not executed. In addition, the shown or discussed mutual coupling or direct coupling or communication connection may be an indirect coupling or communication connection through some interfaces, units or modules, and may be in an electrical or other form.
The units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of units. Some or all of the units can be selected according to actual needs to achieve the purpose of the solution of the embodiment. In addition, functional units in the embodiments of the present invention may be integrated into one processing unit, or each unit may exist alone physically, or two or more units are integrated into one unit. The integrated unit can be realized in a form of hardware, and can also be realized in a form of a software functional unit.
Finally, it should be noted that: the above embodiments are only used to illustrate the technical solution of the present invention, and not to limit the same; while the invention has been described in detail and with reference to the foregoing embodiments, it will be understood by those skilled in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some or all of the technical features may be equivalently replaced; and the modifications or the substitutions do not make the essence of the corresponding technical solutions depart from the scope of the technical solutions of the embodiments of the present invention.
Claims (4)
1. A water quality on-line monitoring system is characterized by comprising: the system comprises an Internet of things sensing system, an analysis system and a remote transmission and monitoring system for acquiring water quality information;
the internet of things perception system comprises: the system comprises a temperature sensor, a flow sensor, a full spectrum water quality sensor and an A/D converter;
the full spectrum water quality sensor comprises: the system comprises a full-spectrum probe (1), a power supply (11), a xenon lamp light source (12), an ultrasonic cleaning device (13), a sample injection groove (14), a light source display device (15), a spectrum detection module (16) and a reserved sensor node (17);
the analysis system includes: the system comprises an analytical instrument (2), a data calibration output end (21), an information acquisition input end (22), an automatic cleaning signal output end (23), a memory (24), a CPU (central processing unit) processor (25), an editable display (26), a tool box (27) and a direct current power supply (28);
the remote transmission and monitoring system comprises: the system comprises a communicator (3), a communication module (31), a monitoring terminal and a remote monitoring center system.
2. The water quality on-line monitoring method of the water quality on-line monitoring system applied to the claim 1 is characterized by comprising the following steps:
s1: immersing the full-spectrum probe into a water sample to be monitored, emitting a measuring beam by the xenon lamp light source (12), and forming a measuring beam penetrating through the water sample to be monitored and a reference beam not penetrating through the water sample by the beam through a sampling groove; the A/D converter completes analog-digital conversion and A/D amplification and transmits the spectrum to the microprocessor for operation and analysis;
s2: the CPU (25) carries out operation analysis through beer's law and multi-component quantitative analysis; according to the different characteristic absorption spectra corresponding to different substances and the addition of absorbance, the CPU microprocessor (25) calculates water quality parameters by using a simultaneous equation of the concentrations of the organic matters to be measured;
s3: the memory stores the optical wavelength absorbance of the organic substances and the corrected weighting parameter data of the water quality parameters; performing intelligent analysis on the sewage data information obtained in the step S2 by the CPU in combination with the storage data of the memory and the preset water pollution index data;
carrying out big data processing by simulating biological neuron information transmission and processing through an artificial neural network, establishing a full-waveband absorption spectrum self-learning resolving model, and carrying out numerical compensation on test parameters so as to obtain the water quality parameters;
s4: the CPU processor is connected with the storage module, the display module, the alarm module, the wireless communication module and the relay, and the communication module is wirelessly connected with the monitoring center and used for monitoring a plurality of monitoring systems; the remote transmission and monitoring system comprises a communicator, a communication module, a monitoring terminal and a remote monitoring center system, wherein the monitoring terminal can automatically acquire water quality information or acquire the water quality information according to a command of a gateway node, and upload the water quality information to a gateway node, denoising is performed before transmission, the monitoring gateway node uploads the water quality information to a cloud database of the remote monitoring module through a TCP/IP (transmission control protocol/Internet protocol), and the data enters the data monitoring platform at any time through a mobile phone APP (application) and a network address, and meanwhile, the monitoring terminal can also receive an instruction from the remote monitoring center through a cloud interconnection module;
s5: a user can enter a monitoring data platform through an authorization code, and real-time information is obtained in a report form mode and a dynamic curve mode; the monitoring platform is provided with an editable page for setting a standard value, when the parameter of water exceeds a threshold value, the platform sends out a warning prompt and timely sends out emergency scheduling instructions such as stopping sewage discharge and the like to monitoring site managers, so that the environment is prevented from being polluted.
3. The method for on-line monitoring water quality according to claim 1,
the absorbances are additive, and the total absorbance of a mixture of multiple absorbing substances at a certain wavelength is equal to the arithmetic sum of the absorbances of the components at the corresponding wavelengths:
wherein Au represents the total absorbance at a certain wavelength, and Ai represents the absorbance of the ith substance at the certain wavelength; n represents a substance having absorbance at the specific wavelength; ki. Ci represents the light absorption ratio and the substance concentration of the i-th substance, respectively.
4. The online water quality monitoring method according to claim 1, wherein the wavelength of the measuring beam emitted by the xenon lamp light source (12) is 200-750 nm.
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN112964843A (en) * | 2021-01-26 | 2021-06-15 | 清华大学 | Internet of things sensor system for monitoring water quality of sewage treatment facility and monitoring method |
| CN114324204A (en) * | 2021-12-10 | 2022-04-12 | 梵科投资控股(深圳)有限公司 | Water quality detection method, device, electronic equipment and storage medium |
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