Water plant raw water sniffing detection method and system based on electronic sense organ

Abstract

The invention discloses a water plant raw water sniffing detection method and system based on an electronic sense organ, and relates to the technical field of smell test.The method comprises the steps that sampling sniffing liquid extraction treatment is conducted on a water source water sample, and then separation treatment is conducted on two kinds of sniffing liquid of three kinds of preset separation membranes; performing olfactory liquid characteristic parameter analysis on the obtained first and second types of olfactory liquids, the first and second types of olfactory liquids and the first and second types of olfactory liquids, respectively performing separation treatment on the two types of olfactory liquids according to three preset vibration signals, and performing olfactory liquid characteristic parameter analysis on the obtained first and second types of olfactory liquids, the first and second types of olfactory liquids and the first and second types of olfactory liquids; and according to the obtained odor intensities of the first and second to-be-judged olfactory liquids, carrying out comprehensive grade judgment on the pretreated olfactory liquids, and outputting an early warning judgment result or a standard judgment result. According to the water plant raw water sniffing detection method and system based on the electronic sense organ, the accuracy of the water plant raw water sniffing detection result can be improved.

Description

Technical Field

[0001] The present application relates to the technical field of olfactory testing, and in particular to a method and system for detecting the olfactory smell of raw water in a water plant based on electronic sense organs. Background Art

[0002] The smell test of raw water in water plants is of great significance in ensuring water quality safety, improving water supply quality, guiding water production process optimization, responding to sudden pollution incidents, protecting the ecological environment, and promoting scientific research and technological progress. Therefore, water plants should attach great importance to the smell test of raw water, continuously improve the detection methods and means, and improve the accuracy and reliability of the detection.

[0003] In the prior art, the processing method used for olfactory detection of raw water from water plants is mostly manual monitoring, that is, the sensory evaluation method relies on human sense of smell, which leads to highly subjective results and difficulty in unifying standards, or the processing process using intelligent olfactory detection technology has the problem of single analysis and processing, resulting in large errors in the test results. Summary of the invention

[0004] In order to overcome the above-mentioned deficiencies of the prior art, the present application provides a method and system for olfactory detection of raw water from a water plant based on electronic senses.

[0005] In a first aspect, the present application provides a method for detecting raw water from a water plant by smell based on electronic senses, the method comprising:

[0006] Obtain a water source sample, perform sampling olfactory liquid extraction processing on the water source sample to obtain a pre-processed sampling olfactory liquid, and perform separation processing of the pre-processed sampling olfactory liquid on two types of olfactory liquids using a preset first separation membrane, a second separation membrane, and a third separation membrane, respectively, to obtain a first type of olfactory liquid one and a second type of olfactory liquid one, a first type of olfactory liquid two and a second type of olfactory liquid two, and a first type of olfactory liquid three and a second type of olfactory liquid three;

[0007] Performing olfactory liquid characteristic parameter analysis on the first type of olfactory liquid one and the second type of olfactory liquid one, the first type of olfactory liquid two and the second type of olfactory liquid two, the first type of olfactory liquid three and the second type of olfactory liquid three to obtain the odor intensity of the first olfactory liquid to be judged;

[0008] The pre-processed sampled olfactory liquid is subjected to separation processing of two types of olfactory liquids with preset first vibration signals, second vibration signals and third vibration signals respectively to obtain first type olfactory liquid 4 and second type olfactory liquid 4, first type olfactory liquid 5 and second type olfactory liquid 5, first type olfactory liquid 6 and second type olfactory liquid 6;

[0009] Performing olfactory liquid characteristic parameter analysis on the first type olfactory liquid four and the second type olfactory liquid four, the first type olfactory liquid five and the second type olfactory liquid five, the first type olfactory liquid six and the second type olfactory liquid six to obtain the odor intensity of the second olfactory liquid to be judged;

[0010] According to the odor intensity of the first olfactory liquid to be judged and the odor intensity of the second olfactory liquid to be judged, a comprehensive level judgment is performed on the olfactory liquid used for pre-processing, and an early warning judgment result or a standard judgment result is output.

[0011] Preferably, a water source sample is obtained, the water source sample is filtered to simulate to obtain water after water plant filtration, and the water after water plant filtration water is subjected to reverse osmosis circulation treatment to obtain a concentrated volatile gas solution;

[0012] Disinfecting the concentrated volatile gas solution to obtain simulated water from a water plant;

[0013] The simulated water from the water plant is heated to obtain a sampled olfactory liquid, the sampled olfactory liquid is pretreated for molecular diffusion uniformity to obtain a pretreated sampled olfactory liquid, and the pretreated sampled olfactory liquid is divided into three identical liquid samples to be tested to obtain a first liquid sample to be tested, a second liquid sample to be tested, and a third liquid sample to be tested;

[0014] A first separation membrane is preset, and the first liquid sample to be tested is subjected to separation processing of two types of olfactory liquids according to the first separation membrane to obtain a first type of olfactory liquid 1 and a second type of olfactory liquid 1;

[0015] A second separation membrane is preset, and the second separation membrane is used to separate the two types of olfactory liquids from the second liquid sample to obtain the first type of olfactory liquid 2 and the second type of olfactory liquid 2;

[0016] A third separation membrane is preset, and according to the third separation membrane, the third liquid sample to be tested is subjected to separation processing of two types of olfactory liquids to obtain first type olfactory liquid three and second type olfactory liquid three.

[0017] Preferably, the first type of olfactory liquid one, the first type of olfactory liquid two and the first type of olfactory liquid three are respectively subjected to odor intensity detection to obtain the first type of olfactory liquid characteristic parameter one, the first type of olfactory liquid characteristic parameter two and the first type of olfactory liquid characteristic parameter three;

[0018] The first type of olfactory fluid characteristic parameter 1, the first type of olfactory fluid characteristic parameter 2 and the first type of olfactory fluid characteristic parameter 3 are averaged to obtain a preprocessing characteristic parameter 1;

[0019] The second type of olfactory liquid 1, the second type of olfactory liquid 2 and the second type of olfactory liquid 3 are respectively tested for their odor intensity to obtain the second type of olfactory liquid characteristic parameter 1, the second type of olfactory liquid characteristic parameter 2 and the second type of olfactory liquid characteristic parameter 3;

[0020] Subtracting the second type of olfactory fluid characteristic parameter 2 from the second type of olfactory fluid characteristic parameter 1 to obtain a first characteristic parameter difference 1;

[0021] The second type of olfactory fluid characteristic parameter three is subtracted from the second type of olfactory fluid characteristic parameter two to obtain the first characteristic parameter difference two;

[0022] averaging the first characteristic parameter difference one and the first characteristic parameter difference two to obtain a compensation characteristic parameter value one;

[0023] According to the compensation characteristic parameter value one, the preprocessing characteristic parameter one is slightly adjusted to obtain the first odor intensity of the olfactory liquid to be judged.

[0024] Preferably, a first vibration signal is preset, and according to the first vibration signal, the first liquid sample to be tested is subjected to separation processing of two types of olfactory liquids to obtain a first type of olfactory liquid 4 and a second type of olfactory liquid 4;

[0025] A second vibration signal is preset, and according to the second vibration signal, the second liquid sample to be tested is subjected to separation processing of two types of olfactory liquids to obtain a first type of olfactory liquid five and a second type of olfactory liquid five;

[0026] A third vibration signal is preset, and according to the third vibration signal, the third liquid sample to be tested is subjected to separation processing of two types of olfactory liquids to obtain a first type of olfactory liquid six and a second type of olfactory liquid six.

[0027] Preferably, the first type of olfactory liquid fourth, the first type of olfactory liquid fifth and the first type of olfactory liquid sixth are respectively subjected to odor intensity detection to obtain the first type of olfactory liquid characteristic parameter fourth, the first type of olfactory liquid characteristic parameter fifth and the first type of olfactory liquid characteristic parameter sixth;

[0028] The first type of olfactory fluid characteristic parameter 4, the first type of olfactory fluid characteristic parameter 5 and the first type of olfactory fluid characteristic parameter 6 are averaged to obtain the preprocessing characteristic parameter 2;

[0029] The second type of olfactory liquid 4, the second type of olfactory liquid 5 and the second type of olfactory liquid 6 are respectively subjected to odor intensity detection to obtain the second type of olfactory liquid characteristic parameter 4, the second type of olfactory liquid characteristic parameter 5 and the second type of olfactory liquid characteristic parameter 6;

[0030] The second type of olfactory fluid characteristic parameter five and the second type of olfactory fluid characteristic parameter four are subtracted to obtain a second characteristic parameter difference one;

[0031] Subtract the second type of olfactory fluid characteristic parameter six from the second type of olfactory fluid characteristic parameter five to obtain a second characteristic parameter difference two;

[0032] Calculating the average value of the second characteristic parameter difference one and the second characteristic parameter difference two to obtain a compensation characteristic parameter value two;

[0033] According to the second compensation characteristic parameter value, the second preprocessing characteristic parameter is slightly adjusted to obtain the odor intensity of the second olfactory liquid to be judged.

[0034] Preferably, according to the odor intensity of the first olfactory liquid to be judged, the pre-processed sampled olfactory liquid is graded and evaluated to obtain a first evaluation result;

[0035] According to the odor intensity of the second olfactory liquid to be judged, the pre-treated sampled olfactory liquid is graded to obtain a second evaluation result;

[0036] Perform comprehensive level determination on the first assessment result and the second assessment result, and output a warning determination result or a standard determination result.

[0037] In the second aspect, a water plant raw water olfactory detection system based on electronic senses comprises:

[0038] The liquid sample processing module 1 is used to obtain a water source water sample, perform sampling olfactory liquid extraction processing on the water source water sample to obtain a pre-processed sampling olfactory liquid, and perform separation processing of the pre-processed sampling olfactory liquid on two types of olfactory liquids using a preset first separation membrane, a second separation membrane, and a third separation membrane to obtain a first type of olfactory liquid 1 and a second type of olfactory liquid 1, a first type of olfactory liquid 2 and a second type of olfactory liquid 2, and a first type of olfactory liquid 3 and a second type of olfactory liquid 3;

[0039] The odor intensity analysis module 1 is used to analyze the characteristic parameters of the first type of olfactory liquid 1 and the second type of olfactory liquid 1, the first type of olfactory liquid 2 and the second type of olfactory liquid 2, and the first type of olfactory liquid 3 and the second type of olfactory liquid 3 to obtain the odor intensity of the first olfactory liquid to be judged;

[0040] The liquid sample processing module 2 is used to separate the two types of olfactory liquids by respectively performing the pre-processed sampled olfactory liquid with the preset first vibration signal, the second vibration signal and the third vibration signal to obtain the first type of olfactory liquid 4 and the second type of olfactory liquid 4, the first type of olfactory liquid 5 and the second type of olfactory liquid 5, and the first type of olfactory liquid 6 and the second type of olfactory liquid 6;

[0041] The odor intensity analysis module 2 is used to analyze the odor characteristic parameters of the first type olfactory liquid 4 and the second type olfactory liquid 4, the first type olfactory liquid 5 and the second type olfactory liquid 5, and the first type olfactory liquid 6 and the second type olfactory liquid 6 to obtain the odor intensity of the second olfactory liquid to be judged;

[0042] The comprehensive grade determination module is used to make a comprehensive grade determination on the olfactory liquid used for pre-treatment according to the odor intensity of the first olfactory liquid to be determined and the odor intensity of the second olfactory liquid to be determined, and output a warning determination result or a standard determination result.

[0043] Compared with the prior art, the present invention has the following characteristics and beneficial effects:

[0044] By dividing the pre-treated sampled olfactory liquid into three identical test liquid samples, in order to facilitate the distinguishing diversity detection processing process, the traditional technology of only performing a single processing on the extracted liquid sample is avoided. If there is an error, it is impossible to find the comparison data analysis, that is, it is impossible to do further verification, which increases the probability of misjudgment of the final detection result and reduces the utilization rate of resources. By using two different processing methods, the characteristic parameter values ​​analyzed in each scheme are analyzed and processed to reduce the probability of misjudgment and the error value of data detection, that is, the more water vapor molecules remaining in the test olfactory liquid are further separated to reduce the dilution effect of water vapor molecules on odor molecules, thereby reducing the odor intensity of subsequent detection of odor molecules. Two processing schemes are performed: one is to use membrane separation processing, and the other is to use vibration signal processing. Finally, the odor intensity of the first olfactory liquid to be judged and the odor intensity of the second olfactory liquid to be judged obtained by the two processing methods are comprehensively graded to enhance the accuracy of the final detection result and the utilization rate of resources, thereby improving the efficiency of the entire processing work. BRIEF DESCRIPTION OF THE DRAWINGS

[0045] Figure 1 It is a flowchart of the steps of a method for smelling raw water from a water plant based on electronic senses, which is mainly embodied in this embodiment.

[0046] Figure 2 It is a structural block diagram of a water plant raw water olfactory detection system based on electronic senses, which is mainly embodied in this embodiment. DETAILED DESCRIPTION

[0047] The present invention is further described in detail below in conjunction with the following examples.

[0048] Reference Figure 1 , a method for detecting raw water from a water plant by smell based on electronic sense organs, the method comprising the following steps:

[0049] S1. Obtain source water samples, perform sampling and olfactory liquid extraction processing on the source water samples to obtain pre-treated sampled olfactory liquid, and perform separation processing on the pre-treated sampled olfactory liquid using a preset first separation membrane, a second separation membrane, and a third separation membrane to obtain first class olfactory liquid one and second class olfactory liquid one, first class olfactory liquid two and second class olfactory liquid two, first class olfactory liquid three and second class olfactory liquid three.

[0050] S2. Analyze the characteristic parameters of the olfactory liquid of the first category and the second category, the first category and the second category, and the first category and the second category to obtain the odor intensity of the first olfactory liquid to be judged.

[0051] S3. The pre-processed sampled olfactory liquid is subjected to separation processing of two types of olfactory liquids with preset first vibration signal, second vibration signal and third vibration signal respectively to obtain first type olfactory liquid four and second type olfactory liquid four, first type olfactory liquid five and second type olfactory liquid five, first type olfactory liquid six and second type olfactory liquid six.

[0052] S4. Analyze the characteristic parameters of the olfactory liquid of the first category olfactory liquid four and the second category olfactory liquid four, the first category olfactory liquid five and the second category olfactory liquid five, the first category olfactory liquid six and the second category olfactory liquid six to obtain the odor intensity of the second olfactory liquid to be judged.

[0053] S5. Based on the odor intensity of the first olfactory liquid to be judged and the odor intensity of the second olfactory liquid to be judged, a comprehensive level judgment is performed on the pre-processed olfactory liquid, and an early warning judgment result or a standard judgment result is output.

[0054] Specifically, by dividing the pre-treated sampled olfactory liquid into three identical test liquid samples to facilitate the distinguishing diversity detection processing process, the traditional technology of only performing a single processing on the extracted liquid sample is avoided. If there is an error, it is impossible to find the comparison data for analysis, that is, it is impossible to do further verification, which increases the probability of misjudgment of the final detection result and reduces the utilization rate of resources. By using two different processing methods, the characteristic parameter values ​​analyzed in each scheme are analyzed and processed to reduce the probability of misjudgment and the error value of data detection, that is, the more water vapor molecules remaining in the test olfactory liquid are further separated to reduce the dilution effect of water vapor molecules on odor molecules, thereby reducing the odor intensity of subsequent detection of odor molecules. Two processing schemes are performed: one is to use membrane separation processing, and the other is to use vibration signal processing. Finally, the odor intensity of the first olfactory liquid to be judged and the odor intensity of the second olfactory liquid to be judged obtained by the two processing methods are comprehensively graded to enhance the accuracy of the final detection result and the utilization rate of resources, thereby improving the efficiency of the entire processing work.

[0055] The specific step S1 includes the following sub-steps:

[0056] Obtain source water samples, perform filtering simulation on the source water samples to obtain filtered water from a water plant, and perform reverse osmosis circulation treatment on the filtered water from the water plant to obtain a concentrated volatile gas solution.

[0057] The concentrated volatile gas solution is disinfected to obtain simulated water from a water plant.

[0058] The simulated water plant outlet water is heated to obtain a sampled olfactory liquid, the sampled olfactory liquid is pretreated for molecular diffusion uniformity to obtain a pretreated sampled olfactory liquid, and the pretreated sampled olfactory liquid is divided into three identical test liquid samples to obtain a first test liquid sample, a second test liquid sample and a third test liquid sample.

[0059] A first separation membrane is preset, and the first liquid sample to be tested is subjected to separation processing of two types of olfactory liquids according to the first separation membrane to obtain a first type of olfactory liquid one and a second type of olfactory liquid one.

[0060] A second separation membrane is preset, and the second liquid sample to be tested is subjected to separation processing of two types of olfactory liquids according to the second separation membrane to obtain a first type of olfactory liquid 2 and a second type of olfactory liquid 2.

[0061] A third separation membrane is preset, and the third liquid sample to be tested is subjected to separation processing of two types of olfactory liquids according to the third separation membrane to obtain the first type of olfactory liquid three and the second type of olfactory liquid three.

[0062] Specifically, such as filtered water from a water plant (the raw water enters a preliminary filtration tank in the form of a pump, wherein the filter tank is a quartz sand filter or a mesh filter with a filter element of less than 30 microns, and the second stage is a PP cotton filter tank with a filter element of less than 3-5 microns. After the raw water is filtered, the filtered water from the water plant is simulated), concentrated volatile gas solution (the simulated filtered water from the water plant passes through a liquid inlet flow meter and enters a reverse osmosis system (RO system), the reverse osmosis cycle of the water sample is started, the solute solvent is separated by the reverse osmosis system, the concentrated volatile gas solution is retained, and the concentrated volatile gas solution enters a concentrated liquid enrichment tank through a liquid outlet flow meter for stirring. In the process, the water molecules and some ions squeezed through the osmotic membrane are recovered for other uses), simulated water leaving the water plant (the concentrated volatile gas solution separated by the reverse osmosis system is added in proportion to the current amount of sodium hypochlorite added by the water plant to simulate the water leaving the water plant), sampled olfactory liquid (the olfactory liquid is heated to 50-55 degrees to enhance the diffusion of gas molecules and make Use a water sample gas collecting bottle to collect the sampled olfactory liquid), pre-treat the sampled olfactory liquid (for example, use the principle of gas diffusion: the diffusion speed and uniformity can be controlled by adjusting factors such as temperature, pressure, wind speed, etc., if it is A), the first liquid sample to be tested, the second liquid sample to be tested and the third liquid sample to be tested (then they are A1, A2, A3 respectively, all the same), the first separation membrane (that is, different gap diameter sizes, if the preset gap diameter size is j1), the first type of olfactory liquid one and the second type of olfactory liquid one (that is, odor molecules and water vapor molecules are separated respectively), the second separation membrane (if the preset gap diameter size is j2), the first type of olfactory liquid two and the second type of olfactory liquid two (the same explanation as the first type of olfactory liquid one and the second type of olfactory liquid one, no further explanation here), the third separation membrane (if the preset gap diameter size is j3, j1, j2, j3 are all different), the first type of olfactory liquid three and the second type of olfactory liquid three (the same explanation as the first type of olfactory liquid one and the second type of olfactory liquid one, no further explanation here).

[0063] The specific step S2 includes the following sub-steps:

[0064] The odor intensity of the first-class olfactory liquid one, the first-class olfactory liquid two and the first-class olfactory liquid three are respectively detected to obtain the first-class olfactory liquid characteristic parameter one, the first-class olfactory liquid characteristic parameter two and the first-class olfactory liquid characteristic parameter three.

[0065] The first type of olfactory fluid characteristic parameter one, the first type of olfactory fluid characteristic parameter two and the first type of olfactory fluid characteristic parameter three are averaged to obtain the preprocessing characteristic parameter one.

[0066] The odor intensity of the second type olfactory liquid one, the second type olfactory liquid two and the second type olfactory liquid three are respectively detected to obtain the second type olfactory liquid characteristic parameter one, the second type olfactory liquid characteristic parameter two and the second type olfactory liquid characteristic parameter three.

[0067] The difference between the second type olfactory fluid characteristic parameter two and the second type olfactory fluid characteristic parameter one is obtained to obtain the first characteristic parameter difference one.

[0068] The difference between the second type olfactory fluid characteristic parameter three and the second type olfactory fluid characteristic parameter two is obtained to obtain the first characteristic parameter difference two.

[0069] The first characteristic parameter difference one and the first characteristic parameter difference two are averaged to obtain the compensation characteristic parameter value one.

[0070] According to the compensation characteristic parameter value one, the preprocessing characteristic parameter one is slightly adjusted to obtain the odor intensity of the first olfactory liquid to be judged.

[0071] Specifically, such as the first type of olfactory liquid characteristic parameter one, the first type of olfactory liquid characteristic parameter two and the first type of olfactory liquid characteristic parameter three (that is, the olfactory liquid odor intensity is detected by the electronic nose respectively, and the separated odor molecules are detected here, if they are a11, a12, a13, the electronic nose here includes the establishment of a database: by collecting historical data record information detected in historical periods: such as water sample odor intensity, the historical data record information is plotted into a data comparison table, that is, a database, that is, the water sample odor intensity in the database is compared with the electronic nose to establish olfactory gas-sensitive parameter information, and the standard water sample in the historical data record information is calibrated for the electronic nose olfactory parameter information, and the electronic nose can establish known and unknown related odor fingerprints, etc., which can be used in advance for the subsequent final detection data to be compared with the database in the electronic nose to determine the subsequent specification level of the final detection data), pre-processing characteristic parameter one (taking the average value instead of selecting the middle value is to reduce the error, that is, to obtain the comprehensive value, if it is Z1), the second type of olfactory liquid characteristic parameter one, the second type of olfactory liquid characteristic parameter two and the second type of olfactory liquid characteristic parameter three (that is, the odor intensity of the olfactory liquid is detected by the electronic nose respectively, and the separated water vapor molecules are detected here, if they are b11, b12, b13 respectively), the first characteristic parameter difference one (if it is C1), the first characteristic parameter difference two (if it is C2), the compensation characteristic parameter value one (if it is W1, because there is a great possibility of partial carryover in the process of separating the odor molecules and the water vapor molecules, there is a certain degree of slight error, so it is necessary to perform error compensation value analysis to reduce the degree of error), the first olfactory liquid odor intensity to be judged (if it is Z1+W1=K1).

[0072] The specific step S3 includes the following sub-steps:

[0073] A first vibration signal is preset, and according to the first vibration signal, the first liquid sample to be tested is subjected to separation processing of two types of olfactory liquids to obtain a first type of olfactory liquid four and a second type of olfactory liquid four.

[0074] A second vibration signal is preset, and according to the second vibration signal, the second liquid sample to be tested is subjected to separation processing of two types of olfactory liquids to obtain first type olfactory liquid five and second type olfactory liquid five.

[0075] A third vibration signal is preset, and according to the third vibration signal, the third liquid sample to be tested is subjected to separation processing of two types of olfactory liquids to obtain a first type of olfactory liquid six and a second type of olfactory liquid six.

[0076] Specifically, for example, a first vibration signal is preset (i.e., molecules are separated by utilizing the difference in vibration frequency, if it is d1, that is, the vibration signal parameter value), the first type of olfactory liquid four and the second type of olfactory liquid four (the same explanation as the first type of olfactory liquid one and the second type of olfactory liquid one, no further explanation is given here), a second vibration signal is preset (if it is d2), the first type of olfactory liquid five and the second type of olfactory liquid five (the same explanation as the first type of olfactory liquid one and the second type of olfactory liquid one, no further explanation is given here), a third vibration signal is preset (if it is d3, d1, d2, and d3 are all different), the first type of olfactory liquid six and the second type of olfactory liquid six (the same explanation as the first type of olfactory liquid one and the second type of olfactory liquid one, no further explanation is given here).

[0077] The specific step S4 includes the following sub-steps:

[0078] The odor intensity of the first-class olfactory liquid four, the first-class olfactory liquid five and the first-class olfactory liquid six is ​​detected respectively to obtain the first-class olfactory liquid characteristic parameter four, the first-class olfactory liquid characteristic parameter five and the first-class olfactory liquid characteristic parameter six.

[0079] The first-category olfactory fluid characteristic parameter four, the first-category olfactory fluid characteristic parameter five and the first-category olfactory fluid characteristic parameter six are averaged to obtain the preprocessing characteristic parameter two.

[0080] The odor intensity of the second type olfactory liquid four, the second type olfactory liquid five and the second type olfactory liquid six are respectively detected to obtain the second type olfactory liquid characteristic parameter four, the second type olfactory liquid characteristic parameter five and the second type olfactory liquid characteristic parameter six.

[0081] The second characteristic parameter difference one is obtained by subtracting the second type olfactory fluid characteristic parameter five from the second type olfactory fluid characteristic parameter four.

[0082] The second characteristic parameter difference two is obtained by subtracting the second type olfactory fluid characteristic parameter six from the second type olfactory fluid characteristic parameter five.

[0083] The second characteristic parameter difference one and the second characteristic parameter difference two are averaged to obtain the compensation characteristic parameter value two.

[0084] According to the compensation characteristic parameter value 2, a slight difference adjustment is made to the preprocessing characteristic parameter 2 to obtain the odor intensity of the second olfactory liquid to be judged.

[0085] Specifically, such as the first-class olfactory liquid characteristic parameter four, the first-class olfactory liquid characteristic parameter five and the first-class olfactory liquid characteristic parameter six (that is, the olfactory liquid odor intensity is detected by the electronic nose respectively, and the separated odor molecules are detected here, if they are a21, a22, and a23 respectively), the preprocessing characteristic parameter two (the average value is obtained instead of the middle value, in order to reduce the error, that is, the comprehensive value is obtained, if it is Z2), the second-class olfactory liquid characteristic parameter four, the second-class olfactory liquid characteristic parameter five and the second-class olfactory liquid characteristic parameter six (that is, the olfactory liquid odor intensity is detected by the electronic nose respectively, and the separated water vapor molecules are detected here, if they are b21, b22, and b23 respectively), the second characteristic parameter difference one (if it is C3), the second characteristic parameter difference two (if it is C4), the compensation characteristic parameter value two (if it is W2, because there is a great possibility of partial carryover in the process of separating the odor molecules and the water vapor molecules, there is a certain degree of slight error, so it is necessary to perform error compensation value analysis to reduce the degree of error), the second olfactory liquid odor intensity to be judged (if it is Z2+W2=K2).

[0086] The specific step S5 includes the following sub-steps:

[0087] According to the odor intensity of the first olfactory liquid to be judged, the pre-treated sampled olfactory liquid is graded to obtain a first evaluation result.

[0088] According to the odor intensity of the second olfactory liquid to be judged, the pre-treated sampled olfactory liquid is graded to obtain a second evaluation result.

[0089] Perform comprehensive level determination on the first assessment result and the second assessment result, and output a warning determination result or a standard determination result.

[0090] Specifically, the first evaluation result (preset calculation formula and supporting algorithm, comprehensive operation of data information obtained by the electronic nose, the concentration ratio, odor diffusion coefficient, odor intensity and other data obtained by reverse calculation of the inlet and outlet liquid flow meter, to obtain the corresponding grade level in the national standard specification for odor and taste, that is, K1 is matched with the corresponding grade level in the national standard specification for odor and taste. If the result is Grade A + grade index value is 40%, if it includes Grade A, Grade B, Grade C and Grade D, the grades are reduced in sequence), the second evaluation result (the interpretation is the same as the first evaluation result, if it is Grade B + grade index value is 90%), the first evaluation result and the second evaluation result are comprehensively graded (then Grade A is equal to Grade B + grade index value is 90%). The comprehensive result of Grade A + grade index value of 40% and Grade B + grade index value of 90% is Grade A + grade index value of 30%, then the standard judgment result is output); conversely, if the first evaluation result is Grade C + grade index value of 20%, and the second evaluation result is Grade D + grade index value of 20%, then the result of comprehensive grade judgment of the first evaluation result and the second evaluation result is Grade D + grade index value of 40%, and the early warning judgment result is output. Finally, based on the background data calculated by artificial intelligence and other information, it is reflected on the production screen, and analysis data and early warning judgment results are provided, manual retesting is recommended, and it is recommended to start the raw water pretreatment process or adjust the water plant's water production process.

[0091] A water plant raw water olfactory detection system based on electronic sense organs, by applying the above-mentioned water plant raw water olfactory detection method based on electronic sense organs, comprises a liquid sample processing module 1, an odor intensity analysis module 1, a liquid sample processing module 2, an odor intensity analysis module 2 and a comprehensive grade determination module, with reference to Figure 2, obtain a water source sample through a liquid sample processing module one, perform sampling and olfactory liquid extraction processing on the water source sample to obtain a pre-processed sampled olfactory liquid, and perform separation processing of the pre-processed sampled olfactory liquid on two types of olfactory liquids using a preset first separation membrane, a second separation membrane, and a third separation membrane to obtain a first type of olfactory liquid one and a second type of olfactory liquid one, a first type of olfactory liquid two and a second type of olfactory liquid two, a first type of olfactory liquid three and a second type of olfactory liquid three; perform olfactory liquid characteristic parameter analysis on the first type of olfactory liquid one and a second type of olfactory liquid one, the first type of olfactory liquid two and a second type of olfactory liquid two, the first type of olfactory liquid three and a second type of olfactory liquid three through an odor intensity analysis module one to obtain the odor intensity of the first olfactory liquid to be judged; perform separation processing on the pre-processed sampled olfactory liquid through a liquid sample processing module two Separately process the two types of olfactory liquids of the preset first vibration signal, the second vibration signal and the third vibration signal to obtain the first type olfactory liquid four and the second type olfactory liquid four, the first type olfactory liquid five and the second type olfactory liquid five, the first type olfactory liquid six and the second type olfactory liquid six; use the odor intensity analysis module two to analyze the olfactory liquid characteristic parameters of the first type olfactory liquid four and the second type olfactory liquid four, the first type olfactory liquid five and the second type olfactory liquid five, the first type olfactory liquid six and the second type olfactory liquid six to obtain the odor intensity of the second olfactory liquid to be judged; use the comprehensive level judgment module to perform a comprehensive level judgment on the olfactory liquid used for pretreatment according to the odor intensity of the first olfactory liquid to be judged and the odor intensity of the second olfactory liquid to be judged, and output a warning judgment result or a standard judgment result.

[0092] The above are all preferred embodiments of the present application, and the protection scope of the present application is not limited thereto. Therefore, any equivalent changes made according to the structure, shape, and principle of the present application should be included in the protection scope of the present application.

Claims

1. A method for detecting raw water from a water plant by smell based on electronic senses, characterized in that: The following steps are involved: Obtain a water source sample, perform sampling olfactory liquid extraction processing on the water source sample to obtain a pre-processed sampling olfactory liquid, and perform separation processing of the pre-processed sampling olfactory liquid on two types of olfactory liquids using a preset first separation membrane, a second separation membrane, and a third separation membrane, respectively, to obtain a first type of olfactory liquid one and a second type of olfactory liquid one, a first type of olfactory liquid two and a second type of olfactory liquid two, and a first type of olfactory liquid three and a second type of olfactory liquid three; Performing olfactory liquid characteristic parameter analysis on the first type of olfactory liquid one and the second type of olfactory liquid one, the first type of olfactory liquid two and the second type of olfactory liquid two, the first type of olfactory liquid three and the second type of olfactory liquid three to obtain the odor intensity of the first olfactory liquid to be judged; The pre-processed sampled olfactory liquid is subjected to separation processing of two types of olfactory liquids with preset first vibration signals, second vibration signals and third vibration signals respectively to obtain first type olfactory liquid 4 and second type olfactory liquid 4, first type olfactory liquid 5 and second type olfactory liquid 5, first type olfactory liquid 6 and second type olfactory liquid 6; Performing olfactory liquid characteristic parameter analysis on the first type olfactory liquid four and the second type olfactory liquid four, the first type olfactory liquid five and the second type olfactory liquid five, the first type olfactory liquid six and the second type olfactory liquid six to obtain the odor intensity of the second olfactory liquid to be judged; According to the odor intensity of the first olfactory liquid to be judged and the odor intensity of the second olfactory liquid to be judged, a comprehensive level judgment is performed on the olfactory liquid used for pre-processing, and an early warning judgment result or a standard judgment result is output.

2. According to the electronic sensory sensory detection method for raw water in a water plant according to claim 1, it is characterized in that: The steps of obtaining a water source sample, performing sampling olfactory liquid extraction processing on the water source sample to obtain a pre-processed sampling olfactory liquid, and subjecting the pre-processed sampling olfactory liquid to separation processing of two types of olfactory liquids using a preset first separation membrane, a second separation membrane, and a third separation membrane to obtain a first type of olfactory liquid one and a second type of olfactory liquid one, a first type of olfactory liquid two and a second type of olfactory liquid two, and a first type of olfactory liquid three and a second type of olfactory liquid three, are specifically as follows: Obtaining a water source sample, performing a filtering simulation on the water source sample to obtain filtered water from a water plant, and performing a reverse osmosis cycle treatment on the filtered water from the water plant to obtain a concentrated volatile gas solution; Disinfecting the concentrated volatile gas solution to obtain simulated water from a water plant; The simulated water from the water plant is heated to obtain a sampled olfactory liquid, the sampled olfactory liquid is pretreated for molecular diffusion uniformity to obtain a pretreated sampled olfactory liquid, and the pretreated sampled olfactory liquid is divided into three identical liquid samples to be tested to obtain a first liquid sample to be tested, a second liquid sample to be tested, and a third liquid sample to be tested; A first separation membrane is preset, and the first liquid sample to be tested is subjected to separation processing of two types of olfactory liquids according to the first separation membrane to obtain a first type of olfactory liquid 1 and a second type of olfactory liquid 1; A second separation membrane is preset, and the second separation membrane is used to separate the two types of olfactory liquids from the second liquid sample to obtain the first type of olfactory liquid 2 and the second type of olfactory liquid 2; A third separation membrane is preset, and according to the third separation membrane, the third liquid sample to be tested is subjected to separation processing of two types of olfactory liquids to obtain first type olfactory liquid three and second type olfactory liquid three.

3. The method for detecting raw water from a water plant by smelling an electronic sensory organ according to claim 2 is characterized in that: The step of analyzing the characteristic parameters of the first type of olfactory liquid one and the second type of olfactory liquid one, the first type of olfactory liquid two and the second type of olfactory liquid two, the first type of olfactory liquid three and the second type of olfactory liquid three to obtain the odor intensity of the first olfactory liquid to be judged is specifically: Performing odor intensity detection on the first type of olfactory liquid one, the first type of olfactory liquid two and the first type of olfactory liquid three respectively to obtain the first type of olfactory liquid characteristic parameter one, the first type of olfactory liquid characteristic parameter two and the first type of olfactory liquid characteristic parameter three; The first type of olfactory fluid characteristic parameter 1, the first type of olfactory fluid characteristic parameter 2 and the first type of olfactory fluid characteristic parameter 3 are averaged to obtain a preprocessing characteristic parameter 1; The second type of olfactory liquid 1, the second type of olfactory liquid 2 and the second type of olfactory liquid 3 are respectively tested for their odor intensity to obtain the second type of olfactory liquid characteristic parameter 1, the second type of olfactory liquid characteristic parameter 2 and the second type of olfactory liquid characteristic parameter 3; Subtracting the second type of olfactory fluid characteristic parameter 2 from the second type of olfactory fluid characteristic parameter 1 to obtain a first characteristic parameter difference 1; The second type of olfactory fluid characteristic parameter three is subtracted from the second type of olfactory fluid characteristic parameter two to obtain the first characteristic parameter difference two; averaging the first characteristic parameter difference one and the first characteristic parameter difference two to obtain a compensation characteristic parameter value one; According to the compensation characteristic parameter value one, the preprocessing characteristic parameter one is slightly adjusted to obtain the first odor intensity of the olfactory liquid to be judged.

4. The method for detecting raw water from a water plant by smell based on electronic sense organs according to claim 3 is characterized in that: The steps of separating the pre-processed sampled olfactory liquid into two types of olfactory liquids with the preset first vibration signal, the second vibration signal and the third vibration signal to obtain the first type of olfactory liquid four and the second type of olfactory liquid four, the first type of olfactory liquid five and the second type of olfactory liquid five, and the first type of olfactory liquid six and the second type of olfactory liquid six are specifically as follows: A first vibration signal is preset, and according to the first vibration signal, two types of olfactory liquids are separated from the first liquid sample to obtain a first type of olfactory liquid 4 and a second type of olfactory liquid 4; A second vibration signal is preset, and according to the second vibration signal, the second liquid sample to be tested is subjected to separation processing of two types of olfactory liquids to obtain a first type of olfactory liquid five and a second type of olfactory liquid five; A third vibration signal is preset, and according to the third vibration signal, the third liquid sample to be tested is subjected to separation processing of two types of olfactory liquids to obtain a first type of olfactory liquid six and a second type of olfactory liquid six.

5. The method for detecting raw water from a water plant by smell based on electronic sense organs according to claim 4 is characterized in that: The step of analyzing the characteristic parameters of the first and second olfactory liquids 4, 5 and 5, and 6 and 7 of the first and second olfactory liquids to obtain the odor intensity of the second olfactory liquid to be judged is specifically as follows: Performing odor intensity detection on the first type olfactory liquid fourth, the first type olfactory liquid fifth and the first type olfactory liquid sixth, respectively, to obtain the first type olfactory liquid characteristic parameter fourth, the first type olfactory liquid characteristic parameter fifth and the first type olfactory liquid characteristic parameter sixth; The first type of olfactory fluid characteristic parameter 4, the first type of olfactory fluid characteristic parameter 5 and the first type of olfactory fluid characteristic parameter 6 are averaged to obtain the preprocessing characteristic parameter 2; The second type of olfactory liquid 4, the second type of olfactory liquid 5 and the second type of olfactory liquid 6 are respectively tested for their odor intensity to obtain the second type of olfactory liquid characteristic parameter 4, the second type of olfactory liquid characteristic parameter 5 and the second type of olfactory liquid characteristic parameter 6; The second type of olfactory fluid characteristic parameter five and the second type of olfactory fluid characteristic parameter four are subtracted to obtain a second characteristic parameter difference one; The second type of olfactory fluid characteristic parameter six and the second type of olfactory fluid characteristic parameter five are subtracted to obtain a second characteristic parameter difference two; Calculating the average value of the second characteristic parameter difference one and the second characteristic parameter difference two to obtain a compensation characteristic parameter value two; According to the second compensation characteristic parameter value, the second preprocessing characteristic parameter is slightly adjusted to obtain the odor intensity of the second olfactory liquid to be judged.

6. The method for detecting raw water from a water plant by smell based on electronic sense organs according to claim 5 is characterized in that: The steps of performing comprehensive grade determination on the olfactory liquid used for pre-processing and outputting a warning determination result or a standard determination result according to the odor intensity of the first olfactory liquid to be determined and the odor intensity of the second olfactory liquid to be determined are specifically: According to the odor intensity of the first olfactory liquid to be judged, a grade evaluation is performed on the pre-treated sampled olfactory liquid to obtain a first evaluation result; According to the odor intensity of the second olfactory liquid to be judged, the pre-treated sampled olfactory liquid is graded to obtain a second evaluation result; Perform comprehensive level determination on the first assessment result and the second assessment result, and output a warning determination result or a standard determination result.

7. A water plant raw water olfactory detection system based on electronic senses, characterized in that: The system is used to implement the water plant raw water sniffing detection method based on electronic senses as described in any one of claims 1 to 6, comprising: The liquid sample processing module 1 is used to obtain a water source water sample, perform sampling olfactory liquid extraction processing on the water source water sample to obtain a pre-processed sampling olfactory liquid, and perform separation processing of the pre-processed sampling olfactory liquid on two types of olfactory liquids using a preset first separation membrane, a second separation membrane, and a third separation membrane to obtain a first type of olfactory liquid 1 and a second type of olfactory liquid 1, a first type of olfactory liquid 2 and a second type of olfactory liquid 2, and a first type of olfactory liquid 3 and a second type of olfactory liquid 3; The odor intensity analysis module 1 is used to analyze the characteristic parameters of the first type of olfactory liquid 1 and the second type of olfactory liquid 1, the first type of olfactory liquid 2 and the second type of olfactory liquid 2, and the first type of olfactory liquid 3 and the second type of olfactory liquid 3 to obtain the odor intensity of the first olfactory liquid to be judged; The liquid sample processing module 2 is used to separate the two types of olfactory liquids by respectively performing the pre-processed sampled olfactory liquid with the preset first vibration signal, the second vibration signal and the third vibration signal to obtain the first type of olfactory liquid 4 and the second type of olfactory liquid 4, the first type of olfactory liquid 5 and the second type of olfactory liquid 5, and the first type of olfactory liquid 6 and the second type of olfactory liquid 6; The odor intensity analysis module 2 is used to analyze the odor characteristic parameters of the first type olfactory liquid 4 and the second type olfactory liquid 4, the first type olfactory liquid 5 and the second type olfactory liquid 5, and the first type olfactory liquid 6 and the second type olfactory liquid 6 to obtain the odor intensity of the second olfactory liquid to be judged; The comprehensive grade determination module is used to make a comprehensive grade determination on the olfactory liquid used for pre-treatment according to the odor intensity of the first olfactory liquid to be determined and the odor intensity of the second olfactory liquid to be determined, and output a warning determination result or a standard determination result.

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