TW202004180A - Full-spectrum water quality analysis system including a light source generating device and a light source receiving and computing device - Google Patents

Abstract

A full-spectrum water quality analysis system mainly includes a light source generating device and a light source receiving and computing device. A sampling area is provided between the light source generating device and the light source receiving and computing device. The light source generating device generates light in a full spectrum of ultraviolet to visible light, and transmits the light to the light source receiving and computing device through the sampling area. The light source receiving and computing device is configured to perform parallel comparison verification of big data based on pre-stored artificial intelligence model algorithms, perform self-deep learning to analyze correlation and various interference factors, calculate corrected weighting parameters for mutual numerical compensation and noise filtering (such as turbidity and chromaticity), so as to further obtain a more accurate concentration of various organic substances such as ammonia nitrogen, total phosphorus and total nitrogen.

Description

Full spectrum water quality analysis system

The invention relates to an ultraviolet to visible light full-spectrum water quality analysis system, in particular to split the received light into many high-resolution spectra, and measure different light absorbances, then according to a preset artificial intelligence model algorithm, big data is parallel Comparison verification, self-deep learning analysis of correlation and various interference factors, calculation of modified weighting parameters for mutual numerical compensation and noise filtering (such as turbidity and chromaticity, etc.), to further obtain higher accuracy of ammonia nitrogen, Total phosphorus, total nitrogen, UV254, chemical oxygen demand (COD), total organic carbon (TOC), biological oxygen demand (BOD), dissolved organic carbon (DOC), permanganate index (CODMn), nitrate nitrogen , Nitrous nitrogen, color, turbidity, total suspended solids, phenol (BTX), ozone or hydrogen sulfide concentration of a full spectrum water quality analysis system.

The conventional ammonia nitrogen analyzer in water mainly adopts the ion selective electrode method, which is composed of a potassium ion selective electrode, a PH electrode (reference electrode) and a temperature electrode to form an integrated electrode, including a sensor electrode membrane head, and a sensor electrode membrane The head produces an electrochemical reaction, and performs an electrochemical reaction based on the ammonia ion concentration to obtain the ammonia nitrogen content in the sewage water. However, the biggest disadvantage of the ion selective electrode method is that the sensor electrode membrane head must be replaced frequently, and the sensor electrode membrane head will be aged or blocked and passivated, so it needs to be calibrated about 10-14 days, which causes a lot of labor and the sensor The electrode membrane head will shift, and it will be replaced in about 2-3 months, which is not in line with economic benefits.

Another conventional ammonia nitrogen analyzer in water uses salicylic acid spectrophotometry or Nessler's reagent colorimetry. The salicylic acid spectrophotometry is based on the sodium salicylate colorimetric method to measure the ammonia nitrogen content in water in alkaline media. Under the conditions of catalyst and catalyst, ammonia nitrogen reacts with salicylate in the form of free ammonia or ammonium ions to form a colored complex. The analyzer finally converts it into ammonia nitrogen concentration according to the color depth of the complex value. The principle of the Nessler's reagent colorimetric method is that in the presence of free ammonia or ammonium ions, ammonia nitrogen reacts with the Nessler's reagent to form a reddish-brown complex. The absorbance of the complex is proportional to the content of ammonia nitrogen. The absorbance is measured at the characteristic absorption wavelength, and the content of ammonia nitrogen in the water sample is calculated by the meter.

The conventional total phosphorus analyzer measures the total phosphorus content in water based on the colorimetric method. The principle is that polyphosphate and other phosphorus-containing compounds in water are hydrolyzed under acidic conditions of high temperature or high pressure to form phosphates. For other difficult-to-oxidize phosphorus compounds , Is oxidized to phosphate by strong oxidant sodium persulfate. Phosphate forms a antimony compound in a strong acid solution containing molybdenum ion salts. This antimony compound is reduced to blue phosphomolybdate by ascorbic acid. The absorbance of the phosphomolybdate is measured. Compared with the standard, water is obtained The total phosphorus content in the sample is used.

Another method for measuring the total phosphorus content in water is to digest the sample with potassium persulfate or nitric acid-perchloric acid, and convert all the total phosphorus content to orthophosphate. In an acidic medium, orthophosphate reacts with ammonium molybdate to form phosphomolybdate heteropolyacid in the presence of antimony salt, which is immediately reduced by ascorbic acid to produce a blue complex whose absorbance is the original of the total phosphorus concentration .

The conventional total nitrogen analyzer in water is based on the colorimetric method to measure the total nitrogen content in water. The principle is that the alkaline potassium persulfate solution converts the nitrogen of the nitrogen-containing compounds in the sample into nitrate at 120~124°C. Ultraviolet spectrophotometry measures absorbance at 200nm and 275nm respectively, and calculates the corrected absorbance according to the formula. The total nitrogen content and the corrected absorbance are the original to obtain the total nitrogen content in the water.

However, the above measurement methods for ammonia nitrogen, total phosphorus, or total nitrogen content in water are mainly based on the use of drugs. In addition to the high cost of the analytical equipment itself, the cost of the drug itself is also very high, and it will cause secondary pollution, and Whether it is the electrode method or the drug administration method, the cost of instruments and equipment, special pharmaceutical consumables and manual maintenance is quite high, and the analysis time is about 30 minutes to 1 hour, which cannot achieve the purpose of real-time monitoring and control, which does not meet the environmental and economic costs.

Therefore, if a full-spectrum analysis system can be designed to obtain all spectral ranges, artificial intelligence model algorithms, large data parallel comparison verification, self-deep learning analysis of correlation and various interference factors, and calculation of modified weighting parameters for mutual values Compensation and noise filtering (such as turbidity and chromaticity) to further obtain higher accuracy ammonia nitrogen, total phosphorus, total nitrogen, UV254, chemical oxygen demand (COD), total organic carbon (TOC), Biological oxygen demand (BOD), dissolved organic carbon (DOC), permanganate index (CODMn), nitrate, nitrous nitrogen, color, turbidity, total suspended solids, phenol (BTX), ozone or sulfur The concentration of various organic substances such as hydrogen should be an optimal solution.

A full-spectrum water quality analysis system includes: a device body, and the device system has a light source generating device with a first mirror window and a light source receiving computing device with a second mirror window, wherein the light source generating device and the light source There is a sampling area between the receiving computing devices, and the position of the first mirror window is relative to the second mirror window; a xenon flash lamp is disposed inside the light source generating device, and the xenon flash lamp can face the first mirror The window emits a measuring beam penetrating the sampling area, the measuring beam can pass through the first mirror window and the second mirror window, and penetrate into the light source receiving computing device; a lens is provided in the light source receiving computing Inside the device and located on the travel path of the measuring beam for condensing the measuring beam penetrating into the light source receiving computing device; a slit for improving resolution and reducing stray light; a collimating mirror, It is used to receive the measurement beam transmitted from the slit and collimate the measurement beam; a grating receives the measurement beam from the collimator lens and splits the measurement beam into multiple rays of different wavelengths; one The lens is arranged inside the light source receiving computing device, receives the light beam from the grating, and will be collected in an array photometer; the array photometer is arranged inside the light source receiving computing device, and receives the light beam from the lens, Simultaneous measurement of high-resolution spectra of different wavelengths; a storage for storing ammonia nitrogen, total phosphorus, total nitrogen, UV254, chemical oxygen demand (COD), total organic carbon (TOC), biological oxygen demand (BOD) , Dissolved organic carbon (DOC), permanganate index (CODMn), nitrate, nitrous nitrogen, color, turbidity, total suspended solids, phenol (BTX), ozone or hydrogen sulfide and other organic substances Absorbance and correction weighting parameter data files; and a microprocessor for the operation of the overall system, and the microprocessor is electrically connected to the xenon flash lamp and the array photometer for the measurement beam to pass through a After passing the liquid in the sampling area, the microprocessor can calculate the absorbance of the full-spectrum wavelength of the measuring beam according to Beer's law, use multi-component quantitative analysis to solve the simultaneous equations to obtain the concentration of various organic substances, and then use an embedded artificial Intelligent model algorithm, big data parallel comparison verification, self-deep learning analysis of correlation and various interference factors, calculation of modified weighting parameters for mutual numerical compensation and noise filtering (such as turbidity and chromaticity, etc.), to further obtain A higher accuracy of ammonia nitrogen, total phosphorus, total nitrogen, UV254, chemical oxygen demand (COD), total organic carbon (TOC), biological oxygen demand (BOD), dissolved organic carbon (DOC), permanganic acid Salt concentration (CODMn), nitrate, nitrous nitrogen, color, turbidity, total suspended solids, phenol (BTX), ozone or hydrogen sulfide and other organic substance concentrations.

In a preferred embodiment, the light source generating device further has a lens and a light sensor, which are arranged on the measuring beam traveling path, the lens can condense the measuring beam, and the sampling area can The measuring beam is divided into a measuring beam penetrating the water sample and a reference beam not penetrating the water sample, wherein the measuring beam penetrating the water sample can pass through the first mirror window and the second mirror window and pass through Penetrated into the light source receiving computing device, and the light sensor is disposed on the traveling path of the reference beam that does not penetrate the water sample, for sensing the light intensity of the reference beam that does not penetrate the water sample, The light source can be compensated in each measurement.

In a preferred embodiment, the light source receiving and computing device further includes a timing generator electrically connected to the microprocessor, and the timing generator is used to send a signal to the microprocessor to control the xenon flash lamp The emitted beam is received simultaneously with the array photometer for measurement.

In a preferred embodiment, the light source receiving and computing device further has a communicator electrically connected to the microprocessor for data data detected or calculated by the full-spectrum water quality analysis system Send it out.

In a preferred embodiment, the sampling area on the device body is a notch, the sampling area is provided with a cleaning brush, and the light source receiving and computing device further has an electrical connection with the microprocessor Motor, wherein the motor extends a drive shaft fixed on the cleaning brush, and the cleaning brush has a brush body on both sides, so when the motor is driven to rotate the drive shaft, the brush body on both sides of the cleaning brush The outward-facing surfaces of the first mirror window and the second mirror window can be cleaned separately.

In a preferred embodiment, the device body is provided with an ultrasonic cleaning device near the first mirror window and the second mirror window, which can automatically clean the first mirror window and the second mirror window.

In a preferred embodiment, the wavelength of the measuring beam emitted by the xenon flash lamp is 160-800 nm.

In a preferred embodiment, the operation formula of the microprocessor is Beer's law and multi-component quantitative analysis formula. After the concentration of the organic substance to be measured is listed into a simultaneous equation, the simultaneous equation is solved, and then the various organic substances can be obtained. Concentration value.

In a preferred embodiment, the maximum absorbance variability of the total phosphor is between 170 and 190 nm.

In a preferred embodiment, the maximum absorbance variability of the total nitrogen is between 190 and 245 nm.

In a preferred embodiment, the variability of the light absorption rate of the ammonia nitrogen is between 180-200 nm.

Regarding other technical contents, features and effects of the present invention, it will be clearly presented in the following detailed description of the preferred embodiments with reference to the drawings.

Please refer to FIGS. 1, 2 and 3, which is the full-spectrum water quality analysis system of the present invention. As can be seen from the figure, the full-spectrum water quality analysis system includes a device body 1, and the device body 1 has a first mirror window 111 A light source generating device 11 and a light source receiving computing device 12 having a second mirror window 121, wherein a sampling area 13 is provided between the light source generating device 11 and the light source receiving computing device 12, and the position of the first mirror window 111 is Relative to the second mirror window 121.

The light source generating device 11 has one or more xenon flash lamps 112, a lens 113, and a light sensor 114. The wave of the measuring beam emitted by the xenon flash lamp 112 is usually 160-800 nm, so it can A measurement beam (white light) of ultraviolet to visible light is emitted toward the first mirror window 111, the lens 113 is disposed on the path of the measurement beam, and the sampling area 13 separates the measurement beam into a measurement that penetrates a water sample A light beam and a reference beam that does not penetrate the water sample, wherein the measurement beam that penetrates the water sample can pass through the first mirror window 111 and the second mirror window 121 and penetrate into the light source receiving computing device 12 The light sensor 114 is disposed on the traveling path of the reference beam that does not penetrate the water sample, and is used to sense the light intensity of the reference beam that does not penetrate the water sample.

The light source receiving and computing device 12 has a first lens 122, a slit 132, a collimating mirror 133, a grating 129, an array photometer 123, a microprocessor 124, a memory 125, a timing A generator 126, a communicator 127, and a second lens 130, wherein the collimator lens 122 is disposed inside the light source receiving and computing device 12, and is located on the traveling path of the measurement beam penetrating the water sample for receiving The measurement beam of the second mirror window 121 penetrating the water sample and transmitting the beam to the grating 129;

The grating 129 can split the measurement beam penetrating the water sample into rainbow beams of multiple wavelengths, and transmit the rainbow beam to the lens 130 to condense the beam and transmit the array photometer 123, which measures the height The spectrum of different wavelengths with different resolutions is transmitted to the microprocessor 124 for calculation and analysis; and the array photometer 123 is a 1024 pixel array photometer or 2048 pixel array photometer or 3072 pixel array photometer, which can measure 1024 lines Or 2048 or 3072 high-resolution wavelength spectra, to achieve the purpose of accurate calculation and analysis.

The storage 125 is used to store ammonia nitrogen, total phosphorus, total nitrogen, UV254, chemical oxygen demand (COD), total organic carbon (TOC), biological oxygen demand (BOD), dissolved organic carbon (DOC), high manganese Acid wavelength index (CODMn), nitrate nitrogen, nitrous nitrogen, color, turbidity, total suspended solids, phenol (BTX), ozone or hydrogen sulfide and other organic substances light wavelength absorbance and corrected weighted parameter data file, and the micro The processor 124 is used to control the operation of the full-spectrum water quality analysis system. The microprocessor 125 is electrically connected to the xenon flash lamp 112 and the array photometer 123 for passing the measurement beam passing through the water sample through a After passing through the liquid 2 in the sampling area 13, the microprocessor 125 can calculate the full-spectrum absorbance according to Beer's law of the measuring beam penetrating the water sample, and then through multi-component quantitative analysis and embedded artificial intelligence model algorithm , Big data parallel comparison verification, self-deep learning analysis of correlation and various interference factors, calculation of modified weighting parameters for mutual numerical compensation and noise filtering (such as turbidity and chromaticity, etc.) to further obtain higher accuracy Degree of ammonia nitrogen, total phosphorus, total nitrogen, UV254, chemical oxygen demand (COD), total organic carbon (TOC), biological oxygen demand (BOD), dissolved organic carbon (DOC), permanganate index (CODMn ), nitrate, nitrous nitrogen, color, turbidity, total suspended solids, phenol (BTX), ozone or hydrogen sulfide and other organic substance concentrations.

The operation of microprocessor 125 is mainly through Beer's law (quantitative analysis formula for ultraviolet-visible absorption spectrum): A=log(P _o /P)=εbc where A is the absorbance and P _o is the original light beam does not pass through the sample The radiant power of the cell, P is the radiant power after the beam passes through the sample cell, ε is the mole absorption coefficient in Lmol ^-1 cm ^-1 ), b is the optical path length of the beam through the sample cell in cm , C is the sample concentration, the unit is mol L ^-1 ;

Extend the above formula as the basis, and then apply the multi-component quantitative analysis formula: A _total = A ₁ + A ₂ + A ₃ + A ₄ +…. A _n = ε ₁ bc ₁ + ε ₂ bc ₂ + ε ₃ bc ₃ +ε ₄ bc ₄ +……ε _n bc _n

A solution containing one of the above components, as long as the components do not chemically change from each other, can also be transported by Beer's law for quantitative analysis, that is, total absorption luminosity (A _total ) = absorbance of each component (A _{1 , 2 , 3 , 4...n} ) Summing up, where the subscripts represent component 1, component 2, component 3...component n.

Therefore, if the microprocessor just lists each component to be measured into a simultaneous equation through the above formula, and then solves the simultaneous equation, the concentration of various organic substances in the water can be obtained, including ammonia nitrogen, total phosphorus, total nitrogen and all organic substances. Concentration measurement analysis.

Through artificial intelligence model algorithm, parallel comparison verification of big data, self-deep learning analysis of correlation and various interference factors, calculated and corrected weighted parameters for mutual numerical compensation and noise filtering (such as turbidity and chromaticity, etc.) Further results in higher precision ammonia nitrogen, total phosphorus, total nitrogen, UV254, chemical oxygen demand (COD), total organic carbon (TOC), biological oxygen demand (BOD), dissolved organic carbon (DOC), high Manganate index (CODMn), nitrate, nitrous nitrogen, color, turbidity, total suspended solids, phenol (BTX), ozone or hydrogen sulfide and other organic substance concentrations.

The timing generator 126 is used to send a signal to the microprocessor 124 to control the xenon flash lamp 112 to emit light and the array photometer 123 to receive and measure simultaneously; and the communicator 127 is used to analyze the full-spectrum water quality The data data detected or/and calculated by the system is transmitted. The communicator 127 can be an RS485 interface, and the communicator 127 can be imported into the power supply 1 of the device body 1 to allow each power circuit to operate normally.

The sampling area 13 has a cleaning brush 131, and the light source receiving and computing device 12 further has a motor 128 electrically connected to the microprocessor 125, wherein the motor 128 extends a drive shaft 1281 fixed to the The cleaning brush 131 has a brush body 1311 on both sides of the cleaning brush 131, so when the motor 128 is driven to rotate the drive shaft 1281, the brush bodies 1311 on both sides of the cleaning brush 131 can clean the first mirror window respectively The outward-facing surfaces of 111 and the second mirror window 121 prevent dirt from adhering to the first mirror window 111 and the second mirror window 121, while keeping them clean.

In addition, as shown in FIGS. 4 and 5, the light source generating device 11 and the light source receiving computing device 12 are provided with an ultrasonic cleaning device 134 near the first mirror area 111 and the second mirror area 121, which can automatically clean the first The contaminants on the mirror window 111 and the second mirror window 121 are kept clean.

Please refer to Figures 6 and 7 at the same time. As shown in Figure 6, if you want to measure the concentration of ammonia nitrogen, total phosphorus and total nitrogen in the water, put the device body 1 into the water tank, reservoir, river, lake and channel In the ocean or other environment, and by the above measurement method, a full spectrum is obtained, as shown in Figure 7, the corresponding absorbances of different wavelengths of 160~800nm are as shown in the figure, and for different organic substances The explanations are as follows: (1) According to the spectrogram, the greatest variability of the total phosphorus absorption rate is between 170 and 195 nm (for example, 170, 171, 172, 173, 174, 175, 176, 177, 178 , 179, 180, 181, 182, 183, 184, 185, 186, 187, 188, 189, 190, 191, 192, 193, 194, and 195 nm are all sampling ranges), where the preferred embodiment is at a wavelength of 180 nm , 182nm, 185nm, 187nm and 195nm sampling, each sampling by Bill's law, multi-component quantitative analysis, artificial intelligence model algorithm, big data parallel comparison verification, self-deep learning analysis correlation and various interference factors, calculation Correct the weighted parameters for mutual numerical compensation and noise filtering (such as turbidity and chromaticity, etc.) to further obtain a more accurate total phosphorus concentration value, and determine the total water Accurate concentration value of phosphorus. (2) From the spectrogram, it can be seen that the variability of the total nitrogen light absorption rate is between 190 and 245 nm (for example, 190, 191, 192, 193, 194, 195, 196, 197, 198, 199, 200, 201, 202, 203, 204, 205, 206, 207, 208, 209, 210, 211, 212, 213, 214, 215, 216, 217, 218, 219, 220, 221, 222, 223, 224, 225, 226, 227, 228, 229, 230, 231, 232, 233, 234, 235, 236, 237, 238, 239, 240, 241, 242, 243, 244, 245 are all within the sampling range), of which, A preferred embodiment is to sample at wavelengths of 190nm, 195nm, 200nm, 220nm and 245nm. Each sampling is through Bill’s law, multi-component quantitative analysis, artificial intelligence model algorithm, big data parallel comparison verification, and self-deep learning analysis. And various interference factors, calculate the correction weighting parameters for mutual numerical compensation and noise filtering (such as turbidity and chromaticity, etc.), to further obtain a more accurate total nitrogen concentration value, and through multiple sampling data The average value of the total nitrogen to determine the accurate concentration of total nitrogen in the water. (3) According to the spectrogram, the largest variation in the absorption rate of ammonia nitrogen is between 180 and 200 nm (for example, 180, 181, 182, 183, 184, 185, 186, 187, 188, 189, 190 , 191, 192, 193, 194, 195, 196, 197, 198, 199 and 200nm are in the sampling range), of which, the preferred embodiment is sampling at wavelengths 182nm, 187nm, 192nm, 195nm and 200nm, each sampling By using Bill's law, multi-component quantitative analysis, artificial intelligence model algorithm, parallel comparison verification of big data, self-deep learning analysis of correlation and various interference factors, correction weighted parameters are calculated for mutual numerical compensation and noise filtering ( Such as turbidity and chromaticity, etc., to further obtain the ammonia nitrogen concentration value with higher accuracy, and determine the accurate ammonia nitrogen concentration value in the water through the average value of multiple sampling data. (4) The spectrum shows that the chemical oxygen demand (COD), biological oxygen demand (BOD), total organic carbon (TOC), dissolved organic carbon (DOC), high manganese hydrochloric acid index (CODMn), UV The absorption coefficient (SAC254) has a maximum variation in light absorption rate between 243 and 290 nm (eg, 243, 244, 245, 246, 247, 248, 249, 250, 251, 252, 253, 254, 255, 256, 257, 258, 259, 260, 261, 262, 263, 264, 265, 266, 267, 268, 269, 270, 271, 272, 273, 274, 275, 276, 277, 278, 279, 280, 281, 282, 283, 284, 285, 286, 287, 288, 289, and 290nm are sampling ranges), the preferred embodiment is to sample at wavelengths of 243nm, 254nm, 265nm, 275nm, and 290nm, each sampling is performed by Beer's law, multi-component quantitative analysis, artificial intelligence model algorithm, big data parallel comparison verification, self-deep learning analysis of correlation and various interference factors, calculation of modified weighting parameters for mutual numerical compensation and noise filtering (such as turbidity And color, etc.) to further obtain higher precision of chemical oxygen demand (COD), biological oxygen demand (BOD), total organic carbon (TOC), dissolved organic carbon (DOC), permanganese hydrochloric acid index (CODMn), ultraviolet absorption coefficient (SAC254) concentration value, and the average value of multiple sampling data to determine the chemical oxygen demand (COD), biological oxygen demand (BOD), total organic carbon (TOC), solubility in water Accurate concentration values of organic carbon (DOC), high manganese hydrochloric acid index (CODMn), and ultraviolet absorption coefficient (SAC254). . (5) According to the spectrogram, the highest variation of the absorbance of the chromaticity is between 390 and 525 nm (for example, 390, 391, 392, 393, 394, 395, 396, 397, 398, 399, 400 , 401, 402, 403, 404, 405, 406, 407, 408, 409, 410, 411, 412, 413, 414, 415, 416, 417, 418, 419, 420, 421, 422, 423, 424, 425 , 426, 427, 428, 429, 430, 431, 432, 433, 434, 435, 436, 437, 438, 439, 440, 441, 442, 443, 444, 445, 446, 447, 448, 449, 450 , 451, 452, 453, 454, 455, 456, 457, 458, 459, 460, 461, 462, 463, 464, 465, 466, 467, 468, 469, 470, 471, 472, 473, 474, 475 , 476, 477, 478, 479, 480, 481, 482, 483, 484, 485, 486, 487, 488, 489, 490, 491, 492, 493, 494, 495, 496, 497, 498, 499, 500 , 501, 502, 503, 504, 505, 506, 507, 508, 509, 510, 511, 512, 513, 514, 515, 516, 517, 518, 519, 520, 521, 522, 523, 524, 525nm Both are sampling ranges), the preferred embodiment is to sample at wavelengths of 390nm, 410nm, 455nm, 500nm and 525nm, each sampling is by Bill's law, multi-component quantitative analysis, artificial intelligence model algorithm, big data parallel Comparison verification, self-deep learning analysis of correlation and various interference factors, calculation of modified weighting parameters for mutual numerical compensation and noise filtering (such as turbidity and chromaticity, etc.), to further obtain higher-precision chromaticity Concentration value, and through the average value of multiple sampling data, determine the accurate concentration value of color in water. (6) According to the spectrogram, the highest absorbance of phenol (BTX) is in the range of 300~350nm (for example, 300, 301, 302, 303, 304, 305, 306, 307, 308, 309, 310, 311 , 312, 313, 314, 315, 316, 317, 318, 319, 320, 321, 322, 323, 324, 325, 326, 327, 328, 329, 330, 331, 332, 333, 334, 335, 336 , 337, 338, 339, 340, 341, 342, 343, 344, 345, 346, 347, 348, 349, 350), the preferred embodiment is sampling at wavelengths of 300nm, 310nm, 325nm, 340nm and 350nm, each One sampling is based on Beer's law, multi-component quantitative analysis, artificial intelligence model algorithm, big data parallel comparison verification, self-deep learning analysis of correlation and various interference factors, and calculation of modified weighting parameters for mutual numerical compensation and noise filtering In addition (such as turbidity and color, etc.), to further obtain a higher precision phenol (BTX) concentration value, and through the average value of multiple sampling data, determine the accurate concentration value of phenol (BTX) in water.

Compared with other conventional technologies, the full-spectrum water quality analysis system provided by the present invention has the following advantages: (1) The present invention has no need for water sample treatment, and can be put into water without adding chemical reagents. Spectral ultraviolet-visible light directly measures various parameters in water, including ammonia nitrogen, total phosphorus, total nitrogen, UV254, chemical oxygen demand (COD), total organic carbon (TOC), biological oxygen demand (BOD), solubility Organic carbon (DOC), permanganate index (CODMn), nitrate, nitrous nitrogen, color, turbidity, total suspended solids, phenol (BTX), ozone or hydrogen sulfide and other organic substances and nutrients and other parameters And compensate the mutual interference of turbidity and chromaticity through full-spectrum measurement to ensure accurate measurement. Built-in relevant calibration parameters achieve the effect of immediate monitoring and quick response. (2) The present invention is a real-time measurement, on-site correction, ultra-low power consumption, suitable for outdoor power-free environment, a strong submerged housing, can continuously submerge 100 meters deep. (3) The present invention has an automatic cleaning brush or ultrasonic cleaning device to prevent contamination of the environment window and is almost maintenance-free. (4) The present invention has many advantages such as small size, light weight, and convenient portability, and can be applied to application environments such as water tanks, reservoirs, rivers, lakes, channels, and oceans.

The present invention has been disclosed as above through the above embodiments, but it is not intended to limit the present invention. Anyone who is familiar with this technical field and has general knowledge should understand the foregoing technical features and embodiments of the present invention without departing from the scope of the present invention. No changes or modifications can be made within the spirit and scope, so the patent protection scope of the present invention shall be subject to the definition as defined in the claims attached to this specification.

1‧‧‧Device body 11‧‧‧Light source generating device 111‧‧‧First mirror window 112‧‧‧Xenon flash lamp 113‧‧‧Lens 114‧‧‧Light sensor 12‧‧‧Light source receiving computing device 121‧ ‧‧Second mirror window 122‧‧‧lens 123‧‧‧array photometer 129‧‧‧grating 124‧‧‧microprocessor 125‧‧‧storage 126‧‧‧sequence generator 127‧‧‧‧communicator 128 ‧‧‧Motor 130‧‧‧Lens 13‧‧‧Sampling area 131‧‧‧Cleaning brush 1311‧‧‧Brush body 132‧‧‧Slit 133‧‧‧Collimating mirror 134‧‧‧Ultrasonic cleaning device 2‧ ‧‧liquid

[Figure 1] It is a schematic structural diagram of the full-spectrum water quality analysis system of the present invention. [Figure 2] This is a schematic diagram of the top view structure of the full-spectrum water quality analysis system of the present invention. [Figure 3] is a schematic structural diagram of the full-spectrum water quality analysis system of the present invention. [Figure 4] is another schematic diagram of the full spectrum water quality analysis system of the present invention. [Figure 5] is a schematic diagram of Figure 4. [Figure 6] is a schematic diagram of the implementation of the measurement operation of the full-spectrum water quality analysis system of the present invention. [Figure 7] It is a schematic diagram of the measurement spectrum of the full-spectrum water quality analysis system of the present invention.

1‧‧‧device body

11‧‧‧Light source generator

111‧‧‧The first mirror window

12‧‧‧Light source receiving arithmetic device

127‧‧‧Communication device

13‧‧‧Sampling area

131‧‧‧Cleaning brush

1311‧‧‧Brush

Claims (11)

A full-spectrum water quality analysis system includes: a device body, and the device system has a light source generating device with a first mirror window and a light source receiving computing device with a second mirror window, wherein the light source generating device and the light source There is a sampling area between the receiving and computing devices, and the position of the first mirror window is relative to the second mirror window; a xenon flash lamp is disposed inside the light source generating device, and the xenon flash lamp can face the first mirror The window emits a measuring beam penetrating the sampling area, the measuring beam can pass through the first mirror window and the second mirror window, and penetrate into the light source receiving operation device; a lens is provided in the light source receiving operation Inside the device and located on the travel path of the measuring beam for condensing the measuring beam penetrating into the light source receiving computing device; a slit to improve resolution and reduce stray light; a collimating mirror , Used to receive the measurement beam transmitted from the slit and collimate the measurement beam; a grating that receives the measurement beam from the collimator lens and splits the measurement beam into rays of different wavelengths; A lens is arranged inside the light source receiving computing device, receives the light beam from the grating, and gathers the light beam into an array photometer, the array photometer is arranged inside the light source receiving computing device, and receives the light from the lens Beam, and measure the high-resolution spectrum of different wavelengths; a storage is used to store ammonia nitrogen, total phosphorus, total nitrogen, UV254, chemical oxygen demand (COD), total organic carbon (TOC), biological oxygen demand ( BOD), dissolved organic carbon (DOC), permanganate index (CODMn), nitrate, nitrous nitrogen, color, turbidity, total suspended solids, phenol (BTX), ozone or hydrogen sulfide and other organic substances Data file of light wavelength absorbance and modified weighting parameters; and a microprocessor for the operation of the overall system, and the microprocessor is electrically connected to the xenon flash lamp and the array photometer for the measurement beam to pass through After passing the liquid in the sampling area, the microprocessor can calculate the absorbance of the full-spectrum wavelength of the measuring beam according to Beer's law, and then verify the parallel comparison of big data by an embedded artificial intelligence model algorithm. Self-deep learning analyzes the correlation and various interference factors, and calculates the modified weighting parameters for mutual numerical compensation and noise filtering to further obtain higher accuracy ammonia nitrogen, total phosphorus, total nitrogen, UV254, and chemical oxygen demand ( COD), total organic carbon (TOC), biological oxygen demand (BOD), dissolved organic carbon (DOC), permanganate index (CODMn), nitrate, nitrous nitrogen, color, turbidity, total suspension Solid, phenol (BTX), ozone or hydrogen sulfide concentrations of various organic substances. The full-spectrum water quality analysis system according to claim 1, wherein the light source generating device further has a lens and a light sensor for being disposed on the measuring beam traveling path, the lens can condense the measuring beam, the The sampling area can separate the measuring beam into a measuring beam penetrating the water sample and a reference beam not penetrating the water sample, wherein the measuring beam penetrating the water sample can pass through the first mirror window and the second The mirror window penetrates into the light source receiving computing device, and the light sensor is disposed on the traveling path of the reference beam that does not penetrate the water sample, for sensing the reference of the non-penetrating water sample The light intensity of the beam compensates the light source in each measurement. The full-spectrum water quality analysis system according to claim 1, wherein the light source receiving and computing device further has a timing generator electrically connected to the microprocessor, and the timing generator is used to send a signal to the microprocessor, To control the emission beam of the xenon flash lamp to synchronize with the array photometer to receive and measure. The full-spectrum water quality analysis system as described in claim 1, wherein the light source receiving and computing device further has a communicator electrically connected to the microprocessor for detecting or/or detecting the full-spectrum water quality analysis system And the data data of the operation are sent out. The full-spectrum water quality analysis system according to claim 1, wherein the sampling area on the device body is a notch, the sampling area is provided with a cleaning brush, and the light source receiving computing device further has a A motor electrically connected to the processor, wherein the motor extends a drive shaft fixed to the cleaning brush, and the cleaning brush has a brush body on both sides, so when the motor is driven to rotate the drive shaft, the cleaning brush The brush bodies on both sides can clean the outward-facing surfaces of the first mirror window and the second mirror window, respectively. The full-spectrum water quality analysis system according to claim 1, wherein the device body is provided with an ultrasonic cleaning device near the first mirror window and the second mirror window, which can automatically clean the first mirror window and the second mirror window. The full-spectrum water quality analysis system according to claim 1, wherein the wavelength of the measuring beam emitted by the xenon flash lamp is 160-800 nm. The full-spectrum water quality analysis system as described in claim 1, wherein the operation formula of the microprocessor is Beer's law and multi-component quantitative analysis formula, which is to list the organic substance concentration to be measured into a simultaneous equation, and then solve the simultaneous equation, namely The concentration values of various organic substances can be obtained. The full-spectrum water quality analysis system as described in claim 1, wherein the maximum variability of the total phosphorus light absorption rate is between 170 and 190 nm. The full-spectrum water quality analysis system as described in claim 1, wherein the maximum variability of the light absorption rate of the total nitrogen is between 190 and 245 nm. The full-spectrum water quality analysis system as described in claim 1, wherein the highest variability of the light absorption rate of the ammonia nitrogen is between 180 and 200 nm.

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