WO2023010805A1 - Procédé et appareil pour mesurer la dureté d'un échantillon d'eau - Google Patents

Procédé et appareil pour mesurer la dureté d'un échantillon d'eau Download PDF

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WO2023010805A1
WO2023010805A1 PCT/CN2022/070086 CN2022070086W WO2023010805A1 WO 2023010805 A1 WO2023010805 A1 WO 2023010805A1 CN 2022070086 W CN2022070086 W CN 2022070086W WO 2023010805 A1 WO2023010805 A1 WO 2023010805A1
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water sample
turbidity value
hardness
value
detected
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PCT/CN2022/070086
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English (en)
Chinese (zh)
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吕苏
董红晨
陈如
晏博
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佛山市云米电器科技有限公司
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Publication of WO2023010805A1 publication Critical patent/WO2023010805A1/fr

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    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N33/00—Investigating or analysing materials by specific methods not covered by groups G01N1/00 - G01N31/00
    • G01N33/18—Water

Definitions

  • the invention relates to the technical field of water sample detection, in particular to a water sample hardness detection method and device.
  • Water is an important necessity of life, and the quality of water is getting more and more attention. Water often contains a certain concentration of calcium and magnesium ions, that is, water hardness. Water hardness is closely related to human life and production. Therefore, it is of great significance to detect the hardness of domestic and production water. And soften to provide strong technical support.
  • EDTA titration method In the prior art, commonly used hardness detection methods are EDTA titration method, ICP spectroscopic analysis method, calcium ion selective electrode potential analysis method and the like.
  • EDTA titration method the complexation reaction is sensitive and easy to calculate during the test process, but it needs to manually adjust the pH value, and there are inevitable errors in the operation process;
  • ICP spectroscopic analysis method has the advantage of high test accuracy, but the test is highly specialized. It is difficult to maintain and popularize the application; the calcium ion selective electrode potential analysis method has the advantages of good ion selectivity and short equilibration time, but has strict requirements on the measurement conditions, and the measurement and calculation process is cumbersome.
  • the invention provides a water sample hardness detection method and device, which can simplify the water sample hardness detection steps, effectively reduce the water sample hardness detection cost and maintenance cost, and effectively avoid the limitations of the traditional hardness detection method in the application process , improve the convenience and testing efficiency of the water sample hardness testing process, and is conducive to the rapid popularization and application in production and life.
  • the first aspect of the present invention discloses a method for detecting water sample hardness, the method comprising:
  • Carry out pretreatment operation to described to-be-detected water sample, and described pre-treatment operation is used to change the content proportion of the associated ion that influences water sample hardness in described to-be-detected water sample;
  • the second turbidity value being used to characterize the turbidity level of the water sample to be tested after the pretreatment operation
  • the hardness value of the water sample to be detected is determined.
  • the pretreatment of the water sample to be detected includes:
  • the water sample reaction material is used to release or absorb or precipitate the associated ions in the water sample to be detected that affect the hardness of the water sample;
  • the water sample to be detected is mixed with the water sample reaction material, including:
  • the water sample reaction material includes at least two kinds of reaction materials ;
  • the water sample reaction material is mixed into the water sample to be detected according to a preset mixing mode.
  • the determining the second turbidity value of the water sample to be detected includes:
  • the turbidity value of the water sample to be tested is measured every preset time interval, and the turbidity value measured at the current moment and the turbidity value measured at the previous moment of the current moment are respectively determined as the first temporary turbidity value. degree value and a second temporary turbidity value, judging whether the variation between the first temporary turbidity value and the second temporary turbidity value is greater than a preset threshold;
  • the variation trend of the turbidity value of the water sample to be detected when it is determined that the change trend is a decreasing trend, the smaller of the first temporary turbidity value and the second temporary turbidity value is determined as the second turbidity value; when it is determined that the change trend is an increasing When trending, the larger of the first temporary turbidity value and the second temporary turbidity value is determined as the second turbidity value.
  • the method further includes:
  • the execution of the water sample disturbance operation is triggered, and the determination of the waiting time is triggered.
  • the operation of detecting the second turbidity value of the water sample, the water sample disturbance operation is used to improve the mixing reaction efficiency of the water sample to be detected and the water sample reaction material.
  • the determining the hardness value of the water sample to be tested according to the first turbidity value and the second turbidity value includes:
  • the method further includes:
  • the cleaning operation is used to remove the intermediate substance.
  • the method before the determination of the first turbidity value of the water sample to be detected, the method further includes:
  • Preprocess the target data set to obtain a preset mathematical model for the hardness value of the water sample
  • the target data set is preprocessed to obtain a preset mathematical model for the water sample hardness value, including:
  • the joint loss is backpropagated, and a preset neural network model for water sample hardness is obtained through iterative training with a preset cycle length.
  • the second aspect of the present invention discloses a water sample hardness detection device, the water sample hardness detection device includes:
  • the first determination module is used to determine the first turbidity value of the water sample to be detected
  • the first pretreatment module is used to perform a pretreatment operation on the water sample to be detected, and the pretreatment operation is used to change the content ratio of the associated ions affecting the hardness of the water sample in the water sample to be detected;
  • a second determining module configured to determine a second turbidity value of the water sample to be tested, the second turbidity value being used to characterize the turbidity level of the water sample to be tested after the pretreatment operation;
  • the third determination module determines the hardness value of the water sample to be detected according to the first turbidity value and the second turbidity value.
  • the specific manner in which the first pretreatment module performs a pretreatment operation on the water sample to be detected includes:
  • the water sample reaction material is used to release or absorb or precipitate the associated ions in the water sample to be detected that affect the hardness of the water sample;
  • the first preprocessing module includes:
  • the first determination sub-module is used to determine the initial electrical signal of the water sample to be detected, and determine the predicted consumption and predicted ratio of the water sample reaction material matching the initial electrical signal, wherein the water sample
  • the reaction material is used to release or absorb or precipitate the associated ions in the water sample to be detected that affect the hardness of the water sample, and the water sample reaction material includes at least two reaction materials;
  • the first processing sub-module is used to mix the water sample reaction material into the water sample to be tested according to the predicted usage amount and the predicted ratio according to a preset mixing mode.
  • the second determination module includes:
  • the monitoring sub-module is used to measure the turbidity value of the water sample to be tested every preset time interval, and the turbidity value measured at the current moment and the turbidity value measured at the previous moment at the current moment are respectively determined as a first temporary turbidity value and a second temporary turbidity value;
  • the first judging submodule is used to judge whether the variation between the first temporary turbidity value and the second temporary turbidity value is greater than a preset threshold
  • the second determining submodule is used to determine when the first judging submodule judges that the variation between the first temporary turbidity value and the second temporary turbidity value is less than or equal to the preset threshold
  • the change trend of the turbidity value of the water sample to be detected when it is determined that the change trend is a decreasing trend, the smaller of the first temporary turbidity value and the second temporary turbidity value is determined as The second turbidity value; when it is determined that the change trend is an increasing trend, the larger of the first temporary turbidity value and the second temporary turbidity value is determined as the second turbidity value.
  • the device further includes:
  • a disturbance module configured to perform a water sample disturbance operation when the second determination module judges that the variation between the first temporary turbidity value and the second temporary turbidity value is greater than the preset threshold,
  • the water sample disturbance operation is used to improve the mixing reaction efficiency of the water sample to be detected and the water sample reaction material.
  • the third determining module is specifically used for:
  • the device further includes:
  • a judging module configured to judge whether the second turbidity value exceeds a turbidity threshold after the second determining module determines the second turbidity value of the water sample to be detected;
  • a processing module configured to perform a cleaning operation when the judging module judges that the second turbidity value is greater than the turbidity threshold, and the cleaning operation is used to remove intermediate substances generated by the pretreatment operation.
  • the device further includes:
  • the second preprocessing module is used to preprocess the target data set to obtain a preset mathematical model for the hardness value of the water sample, so as to trigger the first determination module to perform the determination of the first turbidity value of the water sample to be detected operation;
  • the second preprocessing module includes:
  • the second processing submodule is used to fit the target data set to obtain a preset linear model or a preset nonlinear model for water sample hardness; or,
  • a pre-detection result for the water sample hardness value For inputting the target data set into the neural network to obtain a pre-detection result for the water sample hardness value; calculating a joint loss between the pre-detection result and the predetermined detection result for the water sample hardness value; The joint loss is backpropagated, and a preset neural network model for water sample hardness is obtained through iterative training with a preset cycle length.
  • the third aspect of the present invention discloses another water sample hardness detection device.
  • the water sample hardness detection device includes:
  • a processor coupled to the memory
  • the processor invokes the executable program code stored in the memory to execute some or all of the steps in any method for detecting water sample hardness disclosed in the first aspect of the present invention.
  • the fourth aspect of the present invention discloses a computer storage medium, the computer storage medium stores computer instructions, and when the computer instructions are called, it is used to execute any method for detecting hardness of water samples disclosed in the first aspect of the present invention Some or all of the steps in .
  • the present invention has the following beneficial effects:
  • the first turbidity value of the water sample to be detected is determined; the pretreatment operation is performed on the water sample to be detected, and the pretreatment operation is used to change the content of the associated ions affecting the hardness of the water sample in the water sample to be detected. ratio; determine the second turbidity value of the water sample to be tested, which is used to characterize the turbidity level of the water sample to be tested after the pretreatment operation; according to the first turbidity value and the second The turbidity value determines the hardness value of the water sample to be tested.
  • the present invention can simplify the detection steps of water sample hardness, can improve the automation level of water sample hardness detection, realize the detection process of green environmental protection, effectively reduce the detection cost and maintenance cost of water sample hardness, and then effectively avoid the traditional detection method in
  • the limitations in the application process are conducive to obtaining optimal testing data, improving the convenience and testing efficiency of the water sample hardness testing process, enhancing the reliability of testing, and facilitating the rapid popularization and application in production and life.
  • Fig. 1 is a schematic flow chart of a method for detecting water sample hardness disclosed in an embodiment of the present invention
  • FIG. 2 is a schematic flow diagram of another water sample hardness detection method disclosed in an embodiment of the present invention.
  • FIG. 3 is a schematic structural view of a water sample hardness detection device disclosed in an embodiment of the present invention.
  • FIG. 4 is a schematic structural view of another water sample hardness detection device disclosed in an embodiment of the present invention.
  • Fig. 5 is a schematic structural diagram of another water sample hardness detection device disclosed in an embodiment of the present invention.
  • the invention discloses a water sample hardness detection method and device.
  • the water sample hardness detection method and device can simplify the water sample hardness detection step process, effectively reduce the water sample hardness detection cost, and further improve the water sample hardness detection process. Convenience and testing efficiency. Among them, the detection of water sample hardness is realized through the change of turbidity in the water sample.
  • one or more embodiments of the present invention can be applied to any scene that requires water sample hardness testing, including household water purification scenes, factory water quality testing scenes, and water sample hardness calibration scenes of professional testing institutions. The embodiments of the present invention No limit.
  • FIG. 1 is a schematic flowchart of a water sample hardness detection method disclosed in an embodiment of the present invention.
  • the method described in FIG. 1 can be applied to a water sample hardness detection device, and the water sample hardness detection device can be an independent device, or can be integrated in water quality detection or water quality treatment equipment, which is not limited in the embodiment of the present invention.
  • the detection method of this water sample hardness can comprise the following operations:
  • the detection of water sample hardness is realized by the change of turbidity in the water sample, so for the hardness detection of the water sample to be tested, it is first necessary to measure the initial turbidity value of the water sample to be tested, that is, above the first turbidity value.
  • the detection of turbidity value can be measured by nephelometric method or scattered light method, can also be measured by turbidity meter, can also be measured by utilizing colorimeter or spectrophotometer
  • the embodiment of the present invention does not limit, can Choose the appropriate turbidity measurement method according to the actual situation.
  • the method of changing the associated ions in the water sample to be detected that affects the hardness of the water sample can be realized by adding water sample reaction materials, or by changing the pressure of the test environment (changing the pressure to change the acid gas dissolution) , can also be realized by other electrochemical methods, which are not limited in the embodiment of the present invention.
  • the content ratio includes changes in ion concentration, changes in number of ions, and changes in mass of ions, etc., which are not limited in the embodiments of the present invention.
  • the associated ions that affect the water hardness index are mainly calcium and magnesium ions.
  • Calcium and magnesium ion precipitation methods can be used to reduce the content of calcium and magnesium ions in water samples, and methods such as calcium and magnesium ion selective filtration can also be used to reduce water.
  • the content level of calcium and magnesium ions In this program, calcium ion precipitants (such as alkaline substances and phosphate supply materials) are added to the water samples to be tested, so that the calcium ions in the water samples are converted into insoluble calcium salts, so that the turbidity of the water samples is obvious. rise.
  • changing the proportion of the associated ions that affect the hardness may be to increase the proportion of the ion content or to decrease the proportion of the ion content, which is not limited in the embodiment of the present invention.
  • substances containing calcium and magnesium ions can be added to the water sample to increase the level of calcium and magnesium ions in the water sample.
  • the ion content level in the water sample changes, and the corresponding turbidity value obtained again at this time will also change due to the change in the ion level, and also That is, the above-mentioned second turbidity value.
  • the measurement method, measurement location, measurement environment, etc. in the process of determining the second turbidity value should be the same or similar to those in step 101, so as to ensure the accuracy and reliability of the detection results.
  • the hardness value of the water sample to be detected is determined according to the change amount between the first turbidity value and the second turbidity value, and the relationship between the change amount and the hardness of the water sample.
  • the amount of change between the first turbidity value and the second turbidity value can be selected according to the actual situation, either a differential change or a partial derivative change, which is not limited in this embodiment of the present invention.
  • first turbidity value and the second turbidity value can be input into a preset mathematical model, the output result of the preset mathematical model is determined, and the output result is determined as the hardness value of the water sample to be tested.
  • the water sample hardness detection method disclosed in the present invention can simplify the water sample hardness detection step process, effectively reduce the water sample hardness detection cost and maintenance cost, and then effectively avoid the limitations of the traditional detection method in the application process and improve the water sample hardness.
  • the convenience and test efficiency of the detection process are conducive to the rapid popularization and application in production and life.
  • performing a pretreatment operation on the detected water sample may include the following operations:
  • the water sample reaction material is used to release or absorb or precipitate associated ions in the water sample to be detected that affect the hardness of the water sample;
  • the water sample to be detected is mixed with the water sample reaction material, including:
  • the water sample reaction material includes at least two kinds of reaction materials
  • the water sample reaction material is mixed into the water sample to be tested according to a preset mixing mode.
  • calcium chloride solution is configured as the water sample to be tested in the test, preferably using a calcium ion precipitant (including alkaline substances: sodium hydroxide, phosphate/silicate that can form insoluble components with calcium ions)
  • a calcium ion precipitant including alkaline substances: sodium hydroxide, phosphate/silicate that can form insoluble components with calcium ions
  • Potassium dihydrogen phosphate also can be basic resin, phosphate resin
  • the initial electrical signal can be any parameter index used to characterize the conductivity of the detected water sample, such as resistance, voltage, current, etc., which reflect the conductivity of the parameter index, and have a direct or indirect relationship with resistance, voltage, current, etc.
  • the electrical signal (such as the TDS value) is not limited in this embodiment of the present invention.
  • the present invention can determine the usage amount of the water sample reaction material and the usage ratio of each material in the water sample reaction material to achieve sufficient reaction and sufficient precipitation through the magnitude of the initial electrical signal of the water sample to be detected.
  • the corresponding relationship between these initial electrical signal values and the predicted dosage and predicted ratio of the water sample reaction material can be stored in the test device in advance through a preset method, or can be stored in the corresponding local or network server.
  • the embodiments of the invention are not limited.
  • the corresponding relationship between the pre-stored initial electrical signal value and the predicted consumption and predicted ratio of the water sample reaction material can also be updated online or offline, such as refining the test area, test time, test environment, etc.
  • a more optimized corresponding relationship is used to improve the efficiency of the preprocessing operation process and shorten the time of the preprocessing operation.
  • different mixing modes can be allocated according to the characteristics of different water sample reaction materials. For example, according to the reaction rate of ions and water sample reaction materials, different doses of water sample reaction materials can be added in batches, or the water sample reaction materials can be released from different directions to mix with the water sample to be tested to obtain a better response Effect.
  • the water sample hardness detection method disclosed in the present invention uses the water sample reaction material to change the associated ion content of the water quality index in the water sample, and can simplify the water sample hardness detection process on the basis of different water sample reaction materials. And the proportion of dosage, to increase the mixing reaction rate, improve the convenience and test efficiency of the water sample hardness testing process, achieve full reaction while avoiding unnecessary waste, effectively reduce the water sample hardness testing cost and maintenance cost, and benefit production And the rapid popularization and application in life.
  • determining the second turbidity value of the water sample to be detected may include the following operations:
  • the turbidity value of the water sample to be tested is measured every preset time interval, and the turbidity value measured at the current moment and the turbidity value measured at the previous moment at the current moment are measured.
  • the turbidity values are determined as the first temporary turbidity value and the second temporary turbidity value respectively, and it is judged whether the variation between the first temporary turbidity value and the second temporary turbidity value is greater than the preset threshold;
  • the change trend of the turbidity value of the water sample to be detected when it is determined that the change trend is a decreasing trend , the smaller of the first temporary turbidity value and the second temporary turbidity value is determined as the second turbidity value; when it is determined that the change trend is an increasing trend, the first temporary turbidity value and the second temporary turbidity value The larger of the values is determined as the second turbidity value.
  • the real-time turbidity value of the water sample to be tested is sampled once at intervals, and by judging whether the variation between the two turbidity values at two adjacent moments is greater than the preset threshold value, when it is judged that the value is less than the preset threshold value, it indicates that the pretreatment operation of the water sample to be detected has been completed, that is, the rate of change in the content of the associated ions affecting the hardness value of the water sample in the water sample to be detected has tended to the minimum, that is, the water sample to be tested and the reaction material of the water sample A sufficient mixing response has been achieved.
  • the final second turbidity value can be determined by judging the change trend of the turbidity value.
  • the water sample hardness detection method disclosed in the present invention can determine the optimal turbidity value after fully mixed reaction by monitoring the change rate and trend of the turbidity value, which can improve the automation level of water sample hardness detection, and is conducive to obtaining
  • the optimal response data can effectively improve the detection efficiency and accuracy, and enhance the reliability of detection.
  • the method may also include the following operations:
  • the water sample disturbance operation is executed, and the above-mentioned determination of the second turbidity value of the water sample to be detected is triggered. operation, wherein the water sample perturbation operation is used to improve the mixing reaction efficiency of the water sample to be detected and the water sample reaction material.
  • the real-time turbidity value of the water sample to be tested is sampled once at intervals, and by judging whether the variation between the two turbidity values at two adjacent moments is greater than the preset threshold value, when it is judged that the turbidity value is greater than the preset threshold value When the threshold value is reached, it means that the change rate of the content of the associated ions in the water sample to be tested that affects the hardness value of the water sample is still relatively large.
  • the reaction rate of the water-like reactive material can be performed by itself, or by controlling the disturbance device (such as stirring rod, stirring blade, etc.); if a complete reaction chamber is provided, it can also be achieved by changing/adjusting the entire reaction chamber.
  • the direction and position of the chamber (such as rotating the reaction chamber as a whole) can be realized, which can be selected according to the actual situation, which is not limited in the embodiment of the present invention.
  • the above water sample disturbance operation is stopped.
  • the above-mentioned operation of determining the second turbidity value of the water sample to be detected will be triggered, that is, the change of the turbidity value of the water sample is detected at the same time as the disturbance, Finally, the final second turbidity value is determined.
  • the water sample hardness detection method disclosed in the present invention can monitor the change rate of the turbidity value of the water sample, judge whether to start the water sample disturbance operation according to the change of the turbidity value, and improve the hardness of the water sample to be tested through the water sample disturbance operation.
  • the reaction rate of the water sample reaction material can improve the automation level of water sample hardness detection, which is conducive to obtaining the optimal reaction data, effectively improving the detection efficiency and accuracy, and enhancing the reliability of detection.
  • FIG. 2 is a schematic flowchart of another water sample hardness detection method disclosed in an embodiment of the present invention.
  • the method described in FIG. 2 can be applied to a water sample hardness detection device, and the water sample hardness detection device can be an independent device, or can be integrated in water quality detection or water quality treatment equipment, which is not limited in the embodiment of the present invention.
  • the detection method of this water sample hardness can comprise the following operations:
  • the target data set is preprocessed to obtain a preset mathematical model for the hardness value of the water sample, and the preset linear model or linear model for the water sample hardness value can be obtained by fitting the target data set.
  • the preset nonlinear model can be specifically determined according to the actual hardness value of the water sample, which is not limited in the embodiment of the present invention.
  • the invention uses calcium chloride solutions with different concentration gradients as the water samples to be tested to collect the target data set, and then conducts the water sample test process. Before the water sample test, the turbidity of the test water is measured with a turbidity meter, and recorded as turbidity Value N1.
  • the formation of Ca 5 (PO 4 ) 3 OH requires a certain ratio of calcium chloride, sodium hydroxide and potassium dihydrogen phosphate.
  • the calcium chloride, sodium hydroxide and The molar mass ratio of potassium dihydrogen phosphate should satisfy a certain ratio, so that Ca 5 (PO 4 ) 3 OH can be precipitated).
  • the hardness of the water sample tested should not exceed 400ppm. After exceeding 400ppm, the particles of suspended solids formed are larger and more likely to settle down, affecting the measurement of hardness.
  • the specific mathematical model in the embodiment of the present invention can be selected according to the actual test situation, and the mathematical model can be characterized as a partial derivative equation or a check point equation, which is not limited in the embodiment of the present invention.
  • the mathematical fitting relationship between the hardness value of the water sample and the variation of the turbidity value of the water sample is not limited to only a linear relationship model, it can also be a segmented linear relationship model, and it can also be a nonlinear relationship model.
  • the implementation of the present invention Examples are not limited.
  • the water sample hardness detection method disclosed in the present invention can more accurately detect the water sample hardness through a reliable mathematical model, and can solve the existing accuracy deviation and correction problems caused by the discrete measured data, and dynamically integrate the test data And evaluation, which is conducive to improving the precision and accuracy of the detection results.
  • preprocess the target data set to obtain a preset mathematical model for the hardness value of the water sample which may also include the following operations:
  • the joint loss is backpropagated, and the preset neural network model for the hardness value of the water sample is obtained through iterative training with a preset cycle length.
  • a neural network model can be established, a target data set can be input into the neural network model for iterative training, and finally a suitable preset neural network model can be obtained.
  • the target data set is input into the neural network model, and the data is forward propagated to obtain the pre-detection result for the hardness of the water sample.
  • the embodiment of the present invention adopts the joint loss cooperation between the pre-detection result and the predetermined detection result for water sample hardness to continuously train the neural network.
  • the pre-determined testing results for water sample hardness include the calibration results of professional hardness testing equipment or the hardness results determined by other testing methods. This embodiment of the present invention does not limit it, but the correctness and unity of the measurement process should be ensured. to avoid unnecessary errors.
  • the joint loss value is backpropagated, and a preset neural network model is obtained through iterative training with a preset cycle length.
  • a preset neural network model is obtained through iterative training with a preset cycle length.
  • the water sample hardness detection method disclosed in the present invention can obtain a reliable neural network model through the training method, which is suitable for the detection requirements of different standard water quality, realizes the detection of water sample hardness more accurately, and can solve the existing problems caused by discrete measured data. Dynamic integration and evaluation of test data will help improve the precision and accuracy of test results.
  • the water sample hardness detection method disclosed in the present invention can simplify the water sample detection steps, effectively reduce the water sample hardness detection cost and maintenance cost, thereby effectively avoiding the limitations of the traditional detection method in the application process, and improving the water sample hardness detection process.
  • the convenience and testing efficiency are conducive to the rapid popularization and application in production and life.
  • the method may also include the following operations:
  • the cleaning operation may choose to directly discharge the pretreated water sample to be tested as wastewater, or physically remove the intermediate substances through mechanical methods, or remove them through chemical reactions, which is not limited in the embodiment of the present invention.
  • steps 205 and 206 are executed in no order.
  • Step 205 can be executed first and then step 206 can be executed.
  • Step 206 can also be executed first to execute step 205.
  • Step 205 and step 206 can also be executed at the same time. Do limited.
  • the water sample hardness detection method disclosed in the present invention can detect water sample hardness in an environmentally friendly manner, which is beneficial to reduce management and maintenance costs, improve the service life of detection equipment, and improve the convenience of the water sample hardness detection process.
  • FIG. 3 is a schematic structural diagram of a water sample hardness detection device disclosed in an embodiment of the present invention.
  • the device described in FIG. 3 can be applied to a water sample hardness detection device.
  • the water sample hardness detection device can be an independent device, or can be integrated in water quality detection or water quality treatment equipment, which is not limited in the embodiment of the present invention.
  • the water sample hardness detection device refers to the steps in a water sample hardness detection method described in Embodiment 1 and Embodiment 2, and the detailed description will not be repeated in this embodiment.
  • the detection device of this water sample characteristic can comprise:
  • the first determination module 301 is used to determine the first turbidity value of the water sample to be detected
  • the first pretreatment module 302 is used to perform a pretreatment operation on the water sample to be detected, and the pretreatment operation is used to change the content ratio of the associated ions affecting the hardness of the water sample in the water sample to be detected;
  • the second determination module 303 is configured to determine a second turbidity value of the water sample to be tested, and the second turbidity value is used to characterize the turbidity level of the water sample to be tested after the pretreatment operation;
  • the third determination module 304 determines the hardness value of the water sample to be detected according to the first turbidity value and the second turbidity value.
  • the water sample hardness detection method device disclosed in the present invention can simplify the water sample hardness detection step process, effectively reduce the water sample hardness detection cost and maintenance cost, thereby effectively avoiding the limitations of the traditional detection method in the application process, and improving the water sample hardness.
  • the convenience and testing efficiency of the hardness testing process is conducive to the rapid popularization and application in production and life.
  • the specific manner in which the first pretreatment module performs pretreatment operations on the water sample to be detected includes:
  • the water sample reaction material is used to release or absorb or precipitate the associated ions in the water sample to be detected that affect the hardness of the water sample;
  • the first preprocessing module 302 may include:
  • the first determination sub-module 3021 is used to determine the initial electrical signal of the water sample to be detected, and determine the predicted consumption and predicted ratio of the water sample reaction material matching the initial electrical signal, wherein the water sample reaction material is used for release or adsorption or precipitating associated ions in the water sample to be detected that affect the hardness of the water sample, and the water sample reaction material includes at least two reaction materials;
  • the first processing sub-module 3022 is used to mix the water sample reaction material into the water sample to be tested according to the preset mixing method according to the predicted usage amount and predicted ratio.
  • the water sample hardness detection device disclosed in the present invention uses the water sample reaction material to change the associated ion content of the water quality index in the water sample. And the proportion of dosage, to increase the mixing reaction rate, improve the convenience and test efficiency of the water sample hardness testing process, achieve full reaction while avoiding unnecessary waste, effectively reduce the water sample hardness testing cost and maintenance cost, and benefit production And the rapid popularization and application in life.
  • the second determining module 303 may include:
  • the monitoring sub-module 3031 is used to measure the turbidity value of the water sample to be tested once every preset time interval, and determine the turbidity value measured at the current moment and the turbidity value measured at the previous moment at the current moment as a first temporary turbidity value and a second temporary turbidity value;
  • the first judging sub-module 3032 is used to judge whether the variation between the first temporary turbidity value and the second temporary turbidity value is greater than a preset threshold
  • the second determining submodule 3033 is used to determine the water sample to be detected when the first judging submodule 3032 judges that the variation between the first temporary turbidity value and the second temporary turbidity value is less than or equal to a preset threshold
  • the change trend of the turbidity value when it is determined that the change trend is a decreasing trend, the smaller of the first temporary turbidity value and the second temporary turbidity value is determined as the second turbidity value; when it is determined that the change trend is an increasing When trending, the larger of the first temporary turbidity value and the second temporary turbidity value is determined as the second turbidity value.
  • the water sample hardness detection device disclosed in the present invention can determine the optimal turbidity value after fully mixed reaction by monitoring the change rate and trend of the turbidity value, which can improve the automation level of water sample hardness detection, and is conducive to obtaining
  • the optimal response data can effectively improve the detection efficiency and accuracy, and enhance the reliability of detection.
  • the device may also include:
  • a disturbance module 305 configured to perform a water sample disturbance operation when the second determination module 303 judges that the variation between the first temporary turbidity value and the second temporary turbidity value is greater than a preset threshold, and trigger the second determination module 303 Execute the operation of determining the second turbidity value of the water sample to be detected, and the water sample disturbance operation is used to improve the mixing reaction efficiency of the water sample to be detected and the water sample reaction material.
  • the water sample hardness detection device disclosed in the present invention can judge whether to start the water sample disturbance operation according to the change rate of the water sample turbidity value by monitoring the change rate of the water sample turbidity value, and improve the hardness of the water sample to be tested through the water sample disturbance operation.
  • the reaction rate of the water sample reaction material can improve the automation level of water sample hardness detection, which is conducive to obtaining the optimal reaction data, effectively improving the detection efficiency and accuracy, and enhancing the reliability of detection.
  • the third determining module 304 is specifically configured to:
  • the preset mathematical model includes a preset linear model or a preset nonlinear model or a preset neural network model.
  • the water sample hardness detection device disclosed in the present invention can more accurately detect the water sample hardness through a reliable mathematical model, and can solve the existing accuracy deviation and correction problems caused by the discrete measured data, and dynamically integrate the test data And evaluation, which is conducive to improving the precision and accuracy of the detection results.
  • the device may also include:
  • a judging module 306, configured to judge whether the second turbidity value exceeds the turbidity threshold after the second determining module 303 determines the second turbidity value of the water sample to be detected;
  • the processing module 307 is configured to perform a cleaning operation when the judging module 306 judges that the second turbidity value is greater than the turbidity threshold, and the cleaning operation is used to remove intermediate substances generated by the pretreatment operation.
  • the judgment module 306 may also be triggered to perform the operation of judging whether the second turbidity value exceeds the turbidity threshold; After the module 302 performs the preprocessing operation, the processing module 307 may also be triggered to perform the cleaning operation.
  • the water sample hardness detection device disclosed in the present invention can detect water sample hardness in an environmentally friendly manner, which is beneficial to reduce management and maintenance costs, improve the service life of the detection equipment, and improve the convenience of the water sample hardness detection process.
  • the device may also include:
  • the second preprocessing module 308 is used to preprocess the target data set to obtain a preset mathematical model for the hardness value of the water sample, so as to trigger the first determination module 301 to perform the operation of determining the first turbidity value of the water sample to be detected ;
  • the second preprocessing module 308 includes:
  • the second processing sub-module 3081 is used to fit the target data set to obtain a preset linear model or a preset nonlinear model for the hardness value of the water sample; or,
  • the water sample hardness detection method disclosed in the present invention can obtain a reliable neural network model through the training method, which is suitable for the detection requirements of different standard water quality, realizes the detection of water sample hardness more accurately, and can solve the existing problems caused by discrete measured data. Dynamic integration and evaluation of test data will help improve the precision and accuracy of test results.
  • FIG. 5 is a schematic structural diagram of another water sample hardness detection device disclosed in an embodiment of the present invention.
  • the device described in FIG. 5 can be applied to a water sample hardness detection device, and the water sample hardness detection device can be an independent device, or can be integrated in water quality detection or water quality treatment equipment, which is not limited by the embodiment of the present invention.
  • the water sample hardness detection device may include:
  • a memory 401 storing executable program codes
  • processor 402 coupled to the memory 401;
  • the processor 402 invokes the executable program code stored in the memory 402 to execute some or all of the steps in the water sample hardness testing method disclosed in the first or second embodiment of the present invention.
  • the embodiment of the present invention discloses a computer storage medium, the computer storage medium stores computer instructions, and when the computer instructions are called, it is used to execute the steps in the water sample hardness detection method disclosed in the first or second embodiment of the present invention .
  • the device embodiments described above are only illustrative, and the modules described as separate components may or may not be physically separated, and the components shown as modules may or may not be physical modules, that is, they may be located in One place, or it can be distributed to multiple network modules. Part or all of the modules can be selected according to actual needs to achieve the purpose of the solution of this embodiment. It can be understood and implemented by those skilled in the art without any creative efforts.
  • the computer program codes required for the operation of each part of this manual can be written in any one or more programming languages, including object-oriented programming languages such as Java, Scala, Smalltalk, Eiffel, JADE, Emerald, C++, C#, VB .NET, Python, etc., conventional programming languages such as C language, Visual Basic, Fortran2003, Perl, COBOL 2002, PHP, ABAP, dynamic programming languages such as Python, Ruby and Groovy, or other programming languages.
  • the program code can run entirely on the computer (PC, embedded smart device, etc.), or as an independent software package on the user's computer, or partly on the user's computer and partly on the remote computer, or completely on the remote computer or run on the server.
  • the remote computer can be connected to the user computer through any form of network, such as a local area network (LAN) or wide area network (WAN), or to an external computer (such as through the Internet), or in a cloud computing environment, or as a service Use software as a service (SaaS).
  • LAN local area network
  • WAN wide area network
  • SaaS service Use software as a service

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Abstract

La présente invention concerne un procédé et un appareil permettant de mesurer la dureté d'un échantillon d'eau. Le procédé comprend les étapes consistant à : déterminer une première valeur de turbidité d'un échantillon d'eau à soumettre à une mesure (101) ; effectuer une opération de prétraitement sur ledit échantillon d'eau, l'opération de prétraitement servant à modifier la proportion des teneurs en ions associés, qui affectent la dureté de l'échantillon d'eau, dans ledit échantillon d'eau (102) ; déterminer une seconde valeur de turbidité dudit échantillon d'eau, la seconde valeur de turbidité servant à représenter le niveau de turbidité dudit échantillon d'eau après que ledit échantillon d'eau a été soumis à l'opération de prétraitement (103) ; et déterminer une valeur de dureté dudit échantillon d'eau en fonction de la première valeur de turbidité et de la seconde valeur de turbidité (104). Le déroulement des étapes de mesure de la dureté d'un échantillon d'eau est simplifié, de sorte que les coûts d'une mesure de la dureté d'un échantillon d'eau et de maintenance sont efficacement réduits, les limitations des procédés de mesure de dureté classiques dans le procédé d'application sont en outre efficacement évitées, et la commodité d'un procédé de mesure de la dureté d'un échantillon d'eau et l'efficacité du test sont améliorées, ce qui facilite une popularisation rapide et son application dans la production et la vie.
PCT/CN2022/070086 2021-08-03 2022-01-04 Procédé et appareil pour mesurer la dureté d'un échantillon d'eau WO2023010805A1 (fr)

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Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN101078717A (zh) * 2007-06-20 2007-11-28 中国矿业大学 一种煤泥水浊度测定方法
US20070297945A1 (en) * 2006-06-23 2007-12-27 Andrew Michael Leach Water hardness sensor system
CN105403254A (zh) * 2015-12-07 2016-03-16 重庆多邦科技股份有限公司 地下水质传感器
CN107037187A (zh) * 2015-07-21 2017-08-11 王娟 水质硬度检测试剂
CN110146645A (zh) * 2019-04-11 2019-08-20 西安建筑科技大学 一种快速检测地下水暂时硬度的方法、装置及控制方法

Patent Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20070297945A1 (en) * 2006-06-23 2007-12-27 Andrew Michael Leach Water hardness sensor system
CN101078717A (zh) * 2007-06-20 2007-11-28 中国矿业大学 一种煤泥水浊度测定方法
CN107037187A (zh) * 2015-07-21 2017-08-11 王娟 水质硬度检测试剂
CN105403254A (zh) * 2015-12-07 2016-03-16 重庆多邦科技股份有限公司 地下水质传感器
CN110146645A (zh) * 2019-04-11 2019-08-20 西安建筑科技大学 一种快速检测地下水暂时硬度的方法、装置及控制方法

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