CN115704795A

CN115704795A - Method and device for detecting water sample characteristics

Info

Publication number: CN115704795A
Application number: CN202110885667.4A
Authority: CN
Inventors: 吕苏; 董红晨; 陈如; 晏博
Original assignee: Foshan Viomi Electrical Technology Co Ltd
Current assignee: Foshan Viomi Electrical Technology Co Ltd
Priority date: 2021-08-03
Filing date: 2021-08-03
Publication date: 2023-02-17
Also published as: WO2023010804A1

Abstract

The invention discloses a method and a device for detecting the characteristics of a water sample, wherein the method comprises the following steps: determining a first electric signal of a water sample to be detected, wherein the first electric signal is used for representing the conductivity of the water sample to be detected; performing pretreatment operation on a water sample to be detected, wherein the pretreatment operation is used for changing the content ratio of associated ions influencing target water quality indexes in the water sample to be detected; determining a second electric signal of the water sample to be detected, wherein the second electric signal is used for representing the conductivity of the water sample to be detected after the pretreatment operation; and determining the detection result of the target water quality index in the water sample to be detected according to the first electric signal and the second electric signal. Therefore, the method can simplify the water sample detection step flow, effectively reduce the water sample detection cost and the maintenance cost, further effectively avoid the limitation of the traditional detection method in the application process, improve the convenience and the testing efficiency of the water sample detection process, and is favorable for rapid popularization and application in production and life.

Description

Method and device for detecting water sample characteristics

Technical Field

The invention relates to the technical field of water sample detection, in particular to a method and a device for detecting water sample characteristics.

Background

Water is taken as an important life necessity, the quality of water is more and more emphasized by people, water quality detection is taken as an important evaluation means of water quality, and the requirement of people on water quality detection is more and more high. Whether drinking water or domestic water, water quality detection is vital to the health of people and the safety of water using equipment.

In the prior art, methods for detecting water quality mainly include a titration method, a spectrum analysis method and the like, and these methods usually require professional personnel to perform water sample collection and then perform water sample detection in a specific environment, so that not only a chemical titrant needs to be prepared, but also continuous maintenance needs to be performed on instruments and equipment. Therefore, the detection methods are complex to operate, poor in convenience and high in learning and maintenance cost, and are difficult to popularize in production and life of users.

Disclosure of Invention

The invention provides a method and a device for detecting water sample characteristics, which can simplify the flow of water sample detection steps, effectively reduce the water sample detection cost and the maintenance cost, further effectively avoid the limitation of the traditional detection method in the application process, improve the convenience and the test efficiency of the water sample detection process, and are beneficial to the rapid popularization and application in production and life.

In order to solve the technical problem, a first aspect of the present invention discloses a method for detecting characteristics of a water sample, including:

determining a first electric signal of a water sample to be detected, wherein the first electric signal is used for representing the conductivity of the water sample to be detected;

performing pretreatment operation on the water sample to be detected, wherein the pretreatment operation is used for changing the content ratio of associated ions influencing target water quality indexes in the water sample to be detected;

determining a second electric signal of the water sample to be detected, wherein the second electric signal is used for representing the conductivity of the water sample to be detected after the pretreatment operation;

and determining the detection result of the target water quality index in the water sample to be detected according to the first electric signal and the second electric signal.

As an optional implementation manner, in the first aspect of the present invention, the pre-treating operation performed on the water sample to be detected includes:

mixing the water sample to be detected with a water sample reaction material, wherein the water sample reaction material is used for releasing or adsorbing or neutralizing or precipitating the associated ions influencing the target water quality index in the water sample to be detected;

wherein, will wait to detect water sample and water sample reaction material and carry out the mixing operation, include:

determining the type of the matched water sample reaction material and the predicted using amount of the water sample reaction material according to the first electric signal and the type of the associated ions influencing the target water quality index in the water sample to be detected;

and mixing the water sample reaction material with the water sample to be detected according to a preset mixing mode.

As an alternative implementation manner, in the first aspect of the present invention, before the pre-treating operation is performed on the water sample to be detected, the method further includes:

and judging whether the water sample reaction material can release the associated ions influencing the target water quality index, and executing deionization operation when the water sample reaction material is judged to release the associated ions influencing the target water quality index, wherein the deionization operation is used for actively releasing the associated ions influencing the target water quality index.

As an optional implementation manner, in the first aspect of the present invention, the determining the second electric signal of the water sample to be detected includes:

measuring the electric signal of the water sample to be detected at intervals of preset duration, respectively determining the electric signal measured at the current moment and the electric signal measured at the last moment of the current moment as a first temporary electric signal and a second temporary electric signal, and judging whether the variation between the first temporary electric signal and the second temporary electric signal is greater than a preset threshold value or not;

when the variation between the first temporary electric signal and the second temporary electric signal is judged to be smaller than or equal to the preset threshold value, determining the variation trend of the electric signal of the water sample to be detected, and when the variation trend is determined to be a decreasing trend, determining the smaller of the first temporary electric signal and the second temporary electric signal as the second electric signal; determining the larger of the first temporary electrical signal and the second temporary electrical signal as a second electrical signal when it is determined that the trend of change is an increasing trend.

As an optional implementation manner, in the first aspect of the present invention, the method further comprises:

and when the variation between the first temporary electric signal and the second temporary electric signal is judged to be larger than the preset threshold value, executing water sample disturbance operation, and triggering the operation of determining the second electric signal of the water sample to be detected, wherein the water sample disturbance operation is used for improving the mixing reaction efficiency of the water sample to be detected and the water sample reaction material.

As an optional implementation manner, in the first aspect of the present invention, the determining, according to the first electrical signal and the second electrical signal, a detection result of the target water quality indicator in the water sample to be detected includes:

and inputting the first electric signal and the second electric signal into a preset mathematical model, determining an output result of the preset mathematical model, and determining the output result as a detection result of the target water quality index in the water sample to be detected.

As an alternative implementation, in the first aspect of the present invention, the method further includes:

before determining a detection result of the target water quality index in the water sample to be detected according to the first electric signal and the second electric signal, determining a first temperature value when the first electric signal is determined and a second temperature value when the second electric signal is determined, wherein the first temperature value and the second temperature value are used for correcting the first electric signal and the second electric signal;

wherein, according to the first electric signal and the second electric signal, determining the detection result of the target water quality index in the water sample to be detected comprises:

according to the first temperature value and the second temperature value, respectively correcting the first electric signal and the second electric signal to obtain a first corrected electric signal and a second corrected electric signal;

and determining the detection result of the target water quality index in the water sample to be detected according to the first correction electric signal and the second correction electric signal.

As an optional implementation manner, in the first aspect of the present invention, the determining an output result of the preset mathematical model includes:

judging whether relevant ions influencing the target water quality index are released or not in the pretreatment operation process;

and when judging that the relevant ions influencing the target water quality index are released in the pretreatment operation process, determining a conductivity compensation coefficient, and determining an output result of the preset mathematical model according to the conductivity compensation coefficient.

preprocessing a target data set before determining a first electric signal of a water sample to be detected to obtain a preset mathematical model aiming at a target water quality index;

wherein, carry out the preliminary treatment to the target data set, obtain the preset mathematical model to target water quality index, include:

fitting a target data set to obtain a preset linear model or a preset nonlinear model aiming at the target water quality index; or,

inputting a target data set into a neural network to obtain a pre-detection result aiming at the target water quality index;

calculating the joint loss between the pre-detection result and the pre-determined detection result aiming at the target water quality index;

and performing back propagation on the combined loss, and performing iterative training with a preset period length to obtain a preset neural network model aiming at the target water quality index.

The second aspect of the invention discloses a device for detecting the characteristics of a water sample, which comprises:

the first determining module is used for determining a first electric signal of the water sample to be detected, and the first electric signal is used for representing the conductivity of the water sample to be detected;

the first pretreatment module is used for carrying out pretreatment operation on the water sample to be detected, and the pretreatment operation is used for changing the content ratio of associated ions influencing target water quality indexes in the water sample to be detected;

the second determining module is used for determining a second electric signal of the water sample to be detected, and the second electric signal is used for representing the conductivity of the water sample to be detected after the pretreatment operation;

and the third determining module is used for determining the detection result of the target water quality index in the water sample to be detected according to the first electric signal and the second electric signal.

As an optional implementation manner, in the second aspect of the present invention, the first preprocessing module is specifically configured to:

wherein the first preprocessing module comprises:

the first determining submodule is used for determining the type of the matched water sample reaction material and the predicted using amount of the water sample reaction material according to the first electric signal and the type of the associated ions influencing the target water quality index in the water sample to be detected;

and the first processing submodule is used for mixing the water sample reaction material with the water sample to be detected according to a preset mixing mode.

As an optional implementation manner, in the second aspect of the present invention, the second determining module includes:

the monitoring submodule is used for measuring the electric signals of the water sample to be detected once every preset time interval, and respectively determining the electric signals measured at the current moment and the electric signals measured at the last moment of the current moment as first temporary electric signals and second temporary electric signals;

the judgment submodule is used for judging whether the variation between the first temporary electric signal and the second temporary electric signal is larger than a preset threshold value or not;

the second determining submodule is used for determining the change trend of the electric signal of the water sample to be detected when the judging submodule judges that the variation between the first temporary electric signal and the second temporary electric signal is smaller than or equal to the preset threshold value, and determining the smaller one of the first temporary electric signal and the second temporary electric signal as the second electric signal when the change trend is determined to be a decreasing trend; determining the larger of the first temporary electrical signal and the second temporary electrical signal as the second electrical signal when it is determined that the trend of change is an increasing trend.

As an alternative embodiment, in the second aspect of the present invention, the apparatus further comprises:

and the disturbance module is used for executing a water sample disturbance operation and triggering the second determination module to determine the second electric signal of the water sample to be detected when the second determination module determines that the variation between the first temporary electric signal and the second temporary electric signal is larger than the preset threshold, wherein the water sample disturbance operation is used for improving the mixing reaction efficiency of the water sample to be detected and the water sample reaction material.

As an optional implementation manner, in the second aspect of the present invention, the third determining module is specifically configured to:

the temperature determination module is used for determining a first temperature value when the first electric signal is determined and a second temperature value when the second electric signal is determined by the water sample to be detected, wherein the first temperature value and the second temperature value are used for correcting the first electric signal and the second electric signal, and then the third determination module is triggered to execute the operation of determining the detection result of the target water quality index in the water sample to be detected according to the first electric signal and the second electric signal;

the third determining module is specifically configured to:

As an optional implementation manner, in the second aspect of the present invention, the specific manner of determining the output result of the preset mathematical model by the third determining module is as follows:

judging whether the first pretreatment module releases associated ions influencing the target water quality index or not in the pretreatment operation process of the water sample to be detected;

and when it is judged that the first pretreatment module releases associated ions influencing the target water quality index in the pretreatment operation process of the water sample to be detected, determining a conductivity compensation coefficient, and determining an output result of the preset mathematical model according to the conductivity compensation coefficient.

the second preprocessing module is used for preprocessing the target data set to obtain a preset mathematical model aiming at a target water quality index so as to trigger the first determining module to execute the operation of determining the first electric signal of the water sample to be detected;

the second pre-processing module comprises:

the second processing submodule is used for fitting a target data set to obtain a preset linear model or a preset nonlinear model aiming at the target water quality index; or,

the system comprises a neural network, a target data set and a target water quality index acquisition unit, wherein the neural network is used for inputting the target data set into the neural network to obtain a pre-detection result aiming at the target water quality index; the system is also used for calculating the joint loss between the pre-detection result and the pre-determined detection result aiming at the target water quality index; and the joint loss is subjected to back propagation, and a preset neural network model aiming at the target water quality index is obtained through iterative training of a preset period length.

the first judgment module is used for judging whether the water sample reaction material can release associated ions influencing the target water quality index;

and the third pretreatment module is used for executing deionization operation when the first judgment module judges that the water sample reaction material releases the associated ions influencing the target water quality index, and the deionization operation is used for actively releasing the associated ions influencing the target water quality index.

The invention discloses a third aspect of another device for detecting the characteristics of a water sample, which comprises:

a memory storing executable program code;

a processor coupled with the memory;

the processor calls the executable program code stored in the memory to execute part or all of the steps of any one of the water sample characteristic detection methods disclosed in the first aspect of the present invention.

In a fourth aspect, the present invention discloses a computer storage medium, which stores computer instructions, and when the computer instructions are called, the computer storage medium is used for executing part or all of the steps in any one of the methods for detecting characteristics of water samples disclosed in the first aspect of the present invention.

Compared with the prior art, the invention has the following beneficial effects:

in the invention, a first electric signal of a water sample to be detected is determined, and the first electric signal is used for representing the conductivity of the water sample to be detected; performing pretreatment operation on a water sample to be detected, wherein the pretreatment operation is used for changing the content ratio of associated ions influencing target water quality indexes in the water sample to be detected; determining a second electric signal of the water sample to be detected, wherein the second electric signal is used for representing the conductivity of the water sample to be detected after the pretreatment operation; and determining the detection result of the target water quality index in the water sample to be detected according to the first electric signal and the second electric signal. Therefore, the method can simplify the water sample detection steps, improve the automation level of water sample characteristic detection, realize the green and environment-friendly detection process, effectively reduce the water sample detection cost and the maintenance cost, further effectively avoid the limitation of the traditional detection method in the application process, be beneficial to acquiring optimal reaction data, improve the convenience and the test efficiency of the water sample detection process, enhance the detection reliability, and be beneficial to the rapid popularization and application in production and life.

Drawings

In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the drawings needed to be used in the description of the embodiments will be briefly introduced below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and it is obvious for those skilled in the art to obtain other drawings based on these drawings without creative efforts.

FIG. 1 is a schematic flow chart of a method for detecting characteristics of a water sample according to an embodiment of the present invention;

FIG. 2 is a schematic flow chart of another method for detecting characteristics of a water sample according to an embodiment of the present invention;

FIG. 3 is a schematic structural diagram of an apparatus for detecting characteristics of a water sample according to an embodiment of the present invention;

FIG. 4 is a schematic structural diagram of another apparatus for detecting characteristics of water samples according to the embodiment of the present invention;

fig. 5 is a schematic structural diagram of another apparatus for detecting characteristics of water samples according to an embodiment of the present invention.

Detailed Description

In order to make the technical solutions of the present invention better understood, the technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be obtained by a person skilled in the art without inventive step based on the embodiments of the present invention, are within the scope of protection of the present invention.

The terms "first," "second," and the like in the description and claims of the present invention and in the above-described drawings are used for distinguishing between different objects and not for describing a particular order. Furthermore, the terms "include" and "have," as well as any variations thereof, are intended to cover non-exclusive inclusions. For example, a process, method, apparatus, article, or article that comprises a list of steps or elements is not limited to only those steps or elements listed, but may alternatively include other steps or elements not listed, or inherent to such process, method, article, or article.

Reference herein to "an embodiment" means that a particular feature, structure, or characteristic described in connection with the embodiment can be included in at least one embodiment of the invention. The appearances of the phrase in various places in the specification are not necessarily all referring to the same embodiment, nor are separate or alternative embodiments mutually exclusive of other embodiments. It is explicitly and implicitly understood by one skilled in the art that the embodiments described herein can be combined with other embodiments.

The invention discloses a method and a device for detecting water sample characteristics, which can simplify the flow of water sample detection steps, effectively reduce the water sample detection cost and further improve the convenience and the test efficiency of a water sample detection process. The detection of the water sample characteristics comprises water sample hardness detection, water sample alkalinity detection, water sample turbidity detection and the like, and the embodiment of the invention is not limited. In addition, one or more embodiments of the present invention may be applied to any scene that needs to perform water sample characteristic detection, including a home water purification scene, a factory water quality detection scene, a water sample characteristic calibration scene of a professional detection mechanism, and the like, and the embodiments of the present invention are not limited.

Example one

Referring to fig. 1, fig. 1 is a schematic flow chart of a method for detecting water sample characteristics according to an embodiment of the present invention. The method described in fig. 1 may be applied to a water sample characteristic detection device, which may be an independent device, or may be integrated in a water quality detection or water quality treatment apparatus, and the embodiment of the present invention is not limited thereto. As shown in fig. 1, the method for detecting the characteristics of the water sample may include the following operations:

101. and determining a first electric signal of the water sample to be detected, wherein the first electric signal is used for representing the conductivity of the water sample to be detected.

In the embodiment of the present invention, the conductivity of the water sample to be detected needs to be determined first, and the conductivity/TDS value of the water sample to be detected may be measured by a conductivity meter or a TDS pen to obtain a result, that is, the first electrical signal, where the first electrical signal may include any parameter index for representing the conductivity of the water sample to be detected, for example, a parameter index that reflects the conductivity such as resistance, voltage, and current, and an electrical signal (such as a TDS value) that has a direct or indirect association relationship with the resistance, voltage, and current, and the embodiment of the present invention is not limited.

102. And carrying out pretreatment operation on the water sample to be detected, wherein the pretreatment operation is used for changing the content ratio of the associated ions influencing the target water quality index in the water sample to be detected.

In the embodiment of the invention, before the second electric signal of the water sample to be detected is detected, the water sample to be detected needs to be preprocessed, and the content ratio of the associated ions influencing the target water quality index in the water sample to be detected is changed, so that the conductivity of the water sample to be detected is changed to a certain degree. Wherein the target water quality index comprises water sample alkalinity, water sample hardness and water sampleTurbidity, etc., and the embodiment of the present invention is not limited. In addition, the content ratio includes a change in ion concentration, a change in ion number, a change in ion mass, and the like, and the embodiment of the present invention is not limited. For example, taking the alkalinity measurement of a water sample as an example, the associated ion influencing the alkalinity index of water quality is OH ^- 、HCO ₃ ^- 、CO ₃ ^2- Etc. the OH of the water sample can be reduced by adding acidic substances into the water sample through an acid-base neutralization method ^- Root content level; for another example, taking water sample hardness detection as an example, the associated ions affecting the water hardness index are mainly calcium and magnesium ions, and the content level of the calcium and magnesium ions in the water sample can be reduced by adopting methods such as calcium and magnesium ion adsorption or calcium and magnesium ion selective filtration.

In the embodiment of the present invention, the content ratio of the related ions affecting the target water quality index may be increased or decreased, and the embodiment of the present invention is not limited. For example, alkaline substances may be added to a water sample to increase the OH in the water sample ^- The root content level, substances containing calcium and magnesium ions can also be added into the water sample to improve the hardness level in the water sample.

103. And determining a second electric signal of the water sample to be detected, wherein the second electric signal is used for representing the conductivity of the water sample to be detected after the pretreatment operation.

In the embodiment of the present invention, after the water sample to be tested is pretreated in step 102, the ion content level in the water sample changes, and accordingly, the electrical signal obtained again at this time also changes due to the change of the ion level, that is, the second electrical signal. Preferably, the measuring electrode, the measuring position, the measuring environment, and the like in the process of determining the second electrical signal should be the same as those in step 101, so that the accuracy and reliability of the detection result can be ensured.

104. And determining the detection result of the target water quality index in the water sample to be detected according to the first electric signal and the second electric signal.

In the embodiment of the invention, the target water quality index value of the water sample to be detected is determined through the variable quantity between the first electric signal and the second electric signal and the incidence relation between the variable quantity and the corresponding target water quality index. The variation between the first electrical signal and the second electrical signal may be selected according to an actual situation, and may be a differential variation or a partial derivative variation.

Further, the first electric signal and the second electric signal 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 detection result of the target water quality index in the water sample to be detected; the preset mathematical model includes a preset linear model, a preset nonlinear model, or a preset neural network model, which is not limited in the embodiments of the present invention.

Therefore, the water sample characteristic detection method disclosed by the invention can simplify the water sample detection step flow, effectively reduce the water sample detection cost and the maintenance cost, further effectively avoid the limitation of the traditional detection method in the application process, improve the convenience and the test efficiency of the water sample detection process, and is beneficial to the rapid popularization and application in production and life.

In an optional embodiment, before determining the detection result of the target water quality indicator in the water sample to be detected according to the first electric signal and the second electric signal, the method may further include the following operations:

determining a first temperature value of a water sample to be detected when a first electric signal is determined and a second temperature value of the water sample to be detected when a second electric signal is determined, wherein the first temperature value and the second temperature value are used for correcting the first electric signal and the second electric signal;

wherein step 104 may include the following operations:

In the embodiment of the invention, in order to more accurately detect the water sample characteristics of the water sample to be detected, the influence of temperature on the measurement of conductivity/electric signals is considered, temperature correction operation is introduced, the temperature is synchronously detected when the first electric signal and the second electric signal are detected respectively, the temperature of the detected electric signals is corrected based on the water temperature of the water sample to obtain corrected electric signals, and the corrected electric signals are used for replacing the electric signals to calculate the change value of the electric signals of the water sample. The rule of the temperature correction may be that, when the water temperature rises by 1 ℃ compared to 25 ℃, a value obtained by increasing the electric signal by 1 to 5% is used as the correction electric signal, and when the water temperature falls by 1 ℃, a value obtained by reducing the electric signal by 1 to 5% is used as the correction electric signal value.

Therefore, the water sample characteristic detection method disclosed by the invention can be used for carrying out temperature correction or compensation on the conductivity or the electric signal in consideration of the influence of the temperature on the conductivity or the electric signal, and can be used for improving the detection precision and accuracy.

In an alternative embodiment, the pre-treatment operation of the detected water sample may include the following operations:

mixing the water sample to be detected with a water sample reaction material, wherein the water sample reaction material is used for releasing or adsorbing or neutralizing or precipitating associated ions influencing target water quality indexes in the water sample to be detected;

For example, when the target water quality index is alkalinity, an acidic substance (acidic material refers to a material capable of ionizing hydrogen ions in water, and is represented by A-H. Alternatively, one or more materials selected from any of ion exchange resins, resin fibers, resin powders, resin blocks, ion exchange membranes, etc. having A-H groups are used as the above-mentioned acidic material A-H may be optionally R-SO3-H sulfonic acids, R-COO-H carboxylic acids, R-PO3-H phosphoric acids, R-BO3-H boric acids, R-SiO3-H silicon acids, etc.) as a water sample reaction material to be subjected to a pretreatment operation, and preferably, the acidic substance satisfies the following conditions: the solution is placed in deionized water, the conductivity value is not contributed, namely the conductivity change value of the solution in the deionized water is not more than 10uS, in addition, the surface area of the acid substance is preferably a material which can be extended to a larger area, and the acid substance used in the patent is weak acid resin. The sample of water to be tested is flowed through the weak acid resin, and the alkaline substance in the sample of water to be tested reacts with the acidic substance to generate substances (such as carbon dioxide and water) which do not contribute to the conductivity/TDS. It should be noted that, the acidic substance that does not contribute to the conductivity value is only selected as a preferred embodiment of the present invention, but the embodiment of the present invention does not limit the conductivity contribution of the acidic substance, and if there is a conductivity contribution, the actual detection result may be corrected by means of conductivity compensation.

For another example, when the target water quality index is hardness, a substance capable of adsorbing calcium and magnesium ions (for example, a substance having a pore or cavity structure such as zeolite, molecular sieve, calcite, etc.) may be selected as a water sample reaction material to perform a pretreatment operation, and preferably, the water sample reaction material needs to satisfy the following conditions: the water sample reaction material is placed in deionized water, the conductivity value is not contributed, namely the conductivity change value of the eluate in the deionized water is not more than 10uS, in addition, the surface area of the water sample reaction material is preferably a material which can be extended to a larger area, and the water sample reaction material used in the patent is zeolite. The water sample to be detected passes through the zeolite through the flow, and the zeolite can carry out specific physical adsorption on calcium and magnesium ions in the water sample, so that the proportion level of the calcium and magnesium ions in the water sample is reduced. It should also be noted that the selection of zeolite that does not contribute to the conductivity value is only a preferred embodiment of the present invention, but the embodiment of the present invention does not limit the conductivity contribution of the zeolite, and if there is a conductivity contribution, the actual detection result can be corrected by means of conductivity compensation.

In the embodiment of the invention, the usage amount of the water sample reaction material and the usage proportion of each material in the water sample reaction material required for achieving the sufficient reaction can be determined through the first electric signal. The corresponding relationship between the predicted usage amount and the predicted proportion of the water sample reaction materials can be stored in the testing device in advance in a preset manner, and can also be stored in a corresponding local or network server.

Furthermore, the pre-stored corresponding relationship between the predicted usage amount and the predicted proportion of the electric signal and the water sample reaction material can be updated in an online or offline manner, for example, the more optimized corresponding relationship under the conditions of a detailed test area, test time, test environment and the like, so that the efficiency of the pretreatment operation process is improved, and the pretreatment operation time is shortened.

Further, when the detection water sample is mixed with the water sample reaction material, different mixing modes can be distributed according to the characteristics of different water sample reaction materials. For example, different doses of water sample reaction materials can be added in batches or in sections according to the reaction rate of ions and the water sample reaction materials, or the water sample reaction materials are released from different directions (parts contacting different areas, and the like) to be mixed with the water sample to be detected, so as to obtain a better reaction effect.

Therefore, the water sample characteristic detection method disclosed by the invention changes the content of the associated ions of the water quality index in the water sample by adopting a water sample reaction material mode, can realize a green and environment-friendly detection process on the basis of simplifying the flow of the water sample detection step, has high reliability, effectively reduces the detection cost and the maintenance cost of the water sample, improves the convenience and the test efficiency of the water sample detection process, and is favorable for rapid popularization and application in production and life.

In this optional embodiment, further optionally, the pre-treating the detected water sample may further include:

carrying out ion selective adsorption operation on the water sample to be detected through an ion selective electrode; or,

and carrying out ion selective filtration operation on the water sample to be detected through an ion selective membrane.

In the embodiment of the present invention, the method for pretreating a water sample to be tested may further include selectively adsorbing associated ions in the water sample by using a potential difference generated by the selective electrode, and may further filter the associated ions in the water sample by using an ion selective membrane, which is not limited in the embodiment of the present invention.

Therefore, the water sample characteristic detection method disclosed by the invention adopts an electro-physical means manner such as a selective electrode or a selective diaphragm, can change the content ratio of the associated ions influencing the water quality index in the water sample more rapidly, can simplify the water sample detection step flow, and effectively improve the detection speed and efficiency.

In this alternative embodiment, further optionally, determining the second electrical signal of the water sample to be detected may comprise the following operations:

after the water sample to be detected is preprocessed in the step 102, the electrical signal of the water sample to be detected is monitored once every preset time interval, two electrical signals at the moment before and after the preset time interval are obtained, namely the first temporary electrical signal and the second temporary electrical signal, the variation (absolute value) between the first temporary electrical signal and the second temporary electrical signal of the water sample to be detected is judged, and whether the variation between the first temporary electrical signal and the second temporary electrical signal is larger than a preset threshold value or not is judged;

when the variation between the first temporary electric signal and the second temporary electric signal is judged to be less than or equal to a preset threshold value, determining the variation trend of the electric signal of the water sample to be detected, and when the variation trend is determined to be a decreasing trend, determining the smaller of the first temporary electric signal and the second temporary electric signal as the second electric signal; when it is determined that the trend of change is an increasing trend, the larger of the first provisional electric signal and the second provisional electric signal is determined as the second electric signal.

In the embodiment of the invention, whether the variation between two electrical signals monitored at preset time intervals is smaller than or equal to a preset threshold is judged, and when the variation is smaller than the preset threshold, the pretreatment operation of the water sample to be detected is finished, namely the content variation rate of the associated ions influencing the target water quality index in the detected water sample tends to be minimum, namely the detected water sample and the water sample reaction material have fully reacted. And then the final second electric signal can be determined by judging the variation trend of the electric signal.

Therefore, the water sample characteristic detection method disclosed by the invention can determine the optimal electric signal after full reaction by monitoring the change rate and the trend of the electric signal, can improve the automation level of water sample characteristic detection, is beneficial to obtaining the optimal reaction data, effectively improves the detection efficiency and accuracy and enhances the detection reliability.

In this optional embodiment, further optionally, the method may further include the following operations:

when the variable quantity between the first temporary electric signal and the second temporary electric signal is judged to be larger than a preset threshold value, executing water sample disturbance operation, and triggering the operation for determining the second electric signal of the water sample to be detected, wherein the water sample disturbance operation is used for improving the mixing reaction efficiency of the water sample to be detected and the water sample reaction material.

In the embodiment of the invention, whether the variation between two electrical signals monitored at preset time intervals is larger than a preset threshold is judged, and when the variation is larger than the preset threshold, the variation rate of the content of associated ions influencing the target water quality index in the water sample to be detected is still larger, and in order to quickly improve or reduce the content level of the associated ions, the reaction rate of the water sample to be detected and the water sample reaction material is accelerated by triggering the water sample disturbance operation. Wherein, the water sample disturbance operation can be realized by a disturbance device (such as a stirring rod, a stirring blade and the like); or the water sample to be detected can flow through a longer pipeline by controlling a channel switch, and the removal area and time between the water sample and the water sample reaction material are increased, so that the method can be realized and can be specifically selected according to actual conditions, and the embodiment of the invention is not limited. Correspondingly, when the judgment result is smaller than the preset threshold value, the water sample disturbance operation is stopped.

Therefore, the water sample characteristic detection method disclosed by the invention can judge whether to start the water sample disturbance operation according to the change rate of the electric signal by monitoring the change rate of the electric signal, improve the reaction rate of the water sample to be detected and the water sample reaction material through the water sample disturbance operation, improve the automation level of water sample characteristic detection, be beneficial to obtaining optimal reaction data, effectively improve the detection efficiency and accuracy and enhance the detection reliability.

Example two

Referring to fig. 2, fig. 2 is a schematic flow chart of another method for detecting characteristics of a water sample according to an embodiment of the present invention. The method described in fig. 2 may be applied to a water sample characteristic detection device, which may be an independent device, or may be integrated in a water quality detection or water quality treatment apparatus, and the embodiment of the present invention is not limited thereto. As shown in fig. 2, the method for detecting the characteristics of the water sample may include the following operations:

201. and preprocessing the target data set to obtain a preset mathematical model aiming at the target water quality index.

In the embodiment of the present invention, the target data set is preprocessed to obtain the preset mathematical model for the target water quality index, and the preset linear model or the preset nonlinear model for the target water quality index can be obtained by fitting the target data set, and can be specifically determined according to the actual target water quality index, which is not limited in the embodiment of the present invention.

For example, in order to better understand the method described in the present invention, the acquisition of the target data set of the method of the present invention is first described, taking the quantitative relationship between the alkalinity and the conductivity of water as an example: firstly, respectively testing the conductivity and the alkalinity of a water sample by using a conductivity instrument and an alkalinity testing method, recording the testing results as the conductivity C11 and the alkalinity value, taking a certain amount of weak acid resin (the resin contains-COOH groups), mixing the weak acid resin and the water sample together, stirring the mixture, fully reacting, and then measuring by using the conductivity instrument, and recording as C12. And respectively carrying out the same test on different water sample specimens to obtain a target data set. The alkalinity value of the water sample to be detected and the data (namely C12-C11) of the conductivity change value before and after the reaction of the water sample with the weak acid resin are arranged, the conductivity change value is used as an abscissa and the alkalinity value is used as an ordinate, and a correlation curve is drawn, so that a linear relation with strong correlation between the conductivity change value and the alkalinity thereof can be obtained, and the linear correlation number is about 0.998.

For example, in order to better understand the method of the present invention, the acquisition of the target data set of the method of the present invention is first described as follows: the zeolite can be selected to adsorb calcium and magnesium ions in a water sample to be detected, wherein the zeolite does not contribute to conductivity when dissolved in pure water, and has large specific surface area and high reaction rate. The method comprises the steps of firstly testing the conductivity and the hardness of a water sample by using a conductivity instrument and a hardness testing method respectively, recording the testing result as the conductivity C21 and the hardness value, then mixing zeolite and the water sample together, fully reacting, and then measuring by using the conductivity instrument, and recording as C22. The same test is respectively carried out on different water samples, and a target data set can be obtained. The self hardness value of the water sample to be detected and the data (namely C22-C21) of the conductivity change value before and after the adsorption of the water sample and zeolite are arranged, the conductivity change value is used as an abscissa value, the hardness value is used as an ordinate value, a relevant curve is drawn, a linear relation with strong correlation between the conductivity change value and the hardness can be obtained, and the linear correlation number is 0.9919.

It should be noted that the specific mathematical model in the embodiment of the present invention may be selected according to an actual test situation, and the mathematical model may be characterized as a partial derivative equation or an index equation, which is not limited in the embodiment of the present invention. In addition, the mathematical fitting relation between the target water quality index and the electric signal in the water sample characteristic is not limited to be only a linear relation model, but also can be a sectional linear relation model or a nonlinear relation model, and the embodiment of the invention is not limited.

Therefore, the water sample characteristic detection method disclosed by the invention can more accurately realize the detection of the water sample characteristic through the reliable mathematical model, can solve the problems of precision deviation and correction caused by the dispersion of the actual measurement data in the prior art, dynamically integrates and evaluates the test data, and is favorable for improving the precision and accuracy of the detection result.

In this optional embodiment, further optionally, the preprocessing is performed on the target data set to obtain a preset mathematical model for the target water quality index, and the method may further include the following operations:

inputting the target data set into a neural network to obtain a pre-detection result aiming at a target water quality index;

and (4) performing back propagation on the combined loss, and performing iterative training with a preset period length to obtain a preset neural network model aiming at the target water quality index.

In the embodiment of the invention, a neural network model can be established, the target data set is input into the neural network model for iterative training, and finally, a proper preset neural network model is obtained. The target data set is input into the neural network model, and the data is transmitted forward, so that a pre-detection result (such as a predicted alkalinity value and a predicted hardness value) aiming at the target water quality index can be obtained.

In the embodiment of the invention, in the process of training the neural network, because continuous training is needed, the embodiment of the invention adopts the joint loss mismatch cooperation between the pre-detection result and the predetermined detection result aiming at the target water quality index to continuously train the neural network. The predetermined detection result for the target water quality index includes a calibration result of a professional water quality index calibration device or a result determined by other detection methods, which is not limited in the embodiments of the present invention.

In the embodiment of the invention, the joint loss value is subjected to back propagation, and the preset neural network model is obtained through iterative training of the preset period length. And calculating a loss value between a pre-detection result and a pre-determined detection result aiming at the target water quality index through a combined loss function formula, and performing back propagation on the loss value so as to update the weight parameter of the loss function.

Therefore, the water sample characteristic detection method disclosed by the invention can obtain a reliable neural network model through a training method, is suitable for the detection requirements of different standard water qualities, can more accurately realize the detection of the water sample characteristic, can solve the problems of precision deviation and correction caused by the dispersion of the existing measured data, can dynamically integrate and evaluate the test data, and is favorable for improving the precision and accuracy of the detection result.

202. And judging whether the water sample reaction material can release associated ions influencing the target water quality index.

When it is determined that the water sample reaction material does not release associated ions affecting the target water quality index, triggering execution step 203 to execute the operation of preprocessing the water sample to be detected;

and when judging that the water sample reaction material can release the associated ions influencing the target water quality index, judging whether the quantity of the associated ions released by the water sample reaction material exceeds a preset threshold value, and when judging that the quantity of the associated ions released by the water sample reaction material exceeds the preset threshold value, triggering and executing the deionization operation of the step 203.

203. And when the water sample reaction material is judged to release the associated ions influencing the target water quality index, performing deionization operation.

In the embodiment of the invention, when the water sample reaction material releases the associated ions which affect the target water quality index and the quantity of the released associated ions exceeds the threshold value, the contribution value of the electric signal (conductivity) is too high, the test result is interfered, and a larger error exists. In order to avoid too complicated compensation correction caused by larger error, the related ions in the water sample reaction material can be actively released in advance through the deionization operation. The deionization operation may be performed before the water sample reaction material is mixed with the water sample to be detected for reaction, where the deionization operation method may be performed by placing the water sample reaction material in deionized water for treatment, or by using other ionization methods, and the embodiment of the present invention is not limited. For example, taking the weak acid resin as an example for detecting the alkalinity of water,since the weak acid resin is often mixed with the strong acid resin (meaning containing H) in the production process ⁺ Radical resins) and then a basic substance (NaHCO) is used before the resin is used ₃ ) Removing strong acid groups to ensure that the obtained mixture is placed in deionized water without contributing to a conductivity value, mixing and stirring the taken weak acid resin, sodium bicarbonate and pure water, washing the weak acid resin by using a large amount of pure water, and fishing out for later use.

In addition, whether the release of the associated ions is completed or not can be ensured by detecting the change rate of the ions in the deionization process, namely when the change rate is smaller than a preset threshold value, the release speed of the ions is very slow, and even if the water sample reaction material is used in the pretreatment process, the test cannot be greatly interfered.

Therefore, the water sample characteristic detection method disclosed by the invention can simplify the water sample detection steps through more refined deionization operation, reduce the calculation complexity of target water quality indexes, and improve the reliability and stability of water sample characteristic detection.

204. And determining a first electric signal of the water sample to be detected, wherein the first electric signal is used for representing the conductivity of the water sample to be detected.

205. And carrying out pretreatment operation on the water sample to be detected, wherein the pretreatment operation is used for changing the content ratio of the associated ions influencing the target water quality index in the water sample to be detected.

206. And determining a second electric signal of the water sample to be detected, wherein the second electric signal is used for representing the conductivity of the water sample to be detected after the pretreatment operation.

207. And determining the detection result of the target water quality index in the water sample to be detected according to the first electric signal and the second electric signal.

In the embodiment of the present invention, for other descriptions of steps 204 to 207, please refer to the detailed descriptions of steps 101 to 104 in the first embodiment, which is not repeated herein.

Therefore, the water sample characteristic detection method disclosed by the invention can simplify the water sample detection steps, effectively reduce the water sample detection cost and the maintenance cost, further effectively avoid the limitation of the traditional detection method in the application process, improve the convenience and the test efficiency of the water sample detection process, and is beneficial to the rapid popularization and application in production and life.

In this optional embodiment, further optionally, determining a detection result of the target water quality indicator in the water sample to be detected may include:

judging whether the water sample reaction material releases associated ions influencing the target water quality index in the pretreatment operation process;

when it is determined that there is a release of the associated ions affecting the target water quality index during the pretreatment operation in step 205, determining a conductance compensation coefficient, determining an output result of the preset mathematical model according to the conductance compensation coefficient, and determining the output result of the preset mathematical model as a detection result of the target water quality index in the water sample to be detected.

In the embodiment of the invention, the method for judging whether the water sample reaction material releases the associated ions influencing the target water quality index can be realized by independently arranging the pure water storage cavity in the detection cavity, and after the water sample reaction material is replaced every time, judging whether the associated ions influencing the target water quality index are released in an online detection/correction mode; the results transmitted in step 202 and step 203 may also be referred to, and the embodiment of the present invention is not limited thereto.

Therefore, the water sample characteristic detection method disclosed by the invention provides a method for automatically compensating the influence of the release of the associated ions of the water sample reaction material on the conductivity on line, so that the water sample detection steps are simplified, the correction process after the water sample reaction material is replaced is greatly facilitated, and the accuracy and precision of on-line detection are improved.

EXAMPLE III

Referring to fig. 3, fig. 3 is a schematic structural diagram of a water sample characteristic detection apparatus according to an embodiment of the present invention. The device described in fig. 3 may be applied to a water sample characteristic detection device, which may be an independent device, or may be integrated in a water quality detection or water quality treatment apparatus, and the embodiment of the present invention is not limited thereto. It should be noted that, the detection apparatus for water sample characteristics refers to the steps in the detection method for water sample characteristics described in the first embodiment and the second embodiment, and detailed description is not repeated in this embodiment, as shown in fig. 3, the detection apparatus for water sample characteristics may include:

the first determining module 301 is configured to determine a first electrical signal of the water sample to be detected, where the first electrical signal is used to represent the conductivity of the water sample to be detected;

the first pretreatment module 302 is configured to perform pretreatment on the water sample to be detected, where the pretreatment is configured to change a content ratio of associated ions affecting a target water quality index in the water sample to be detected;

a second determining module 303, configured to determine a second electrical signal of the water sample to be detected, where the second electrical signal is used to represent a conductivity of the water sample to be detected after being processed;

and a third determining module 304, configured to determine a detection result of the target water quality indicator in the water sample to be detected according to the first electrical signal determined by the first determining module 301 and the second electrical signal determined by the second determining module 303.

Therefore, the water sample characteristic detection device disclosed by the invention can simplify the water sample detection step flow, effectively reduce the water sample detection cost and the maintenance cost, further effectively avoid the limitation of the traditional detection method in the application process, improve the convenience and the test efficiency of the water sample detection process, and is beneficial to the rapid popularization and application in production and life.

In an alternative embodiment, as shown in fig. 4, the first preprocessing module 302 is specifically configured to:

the first preprocessing module 302 includes:

the first determining submodule 3021 is configured to determine the type of the matched water sample reaction material and the predicted amount of the water sample reaction material according to the first electrical signal and the type of the associated ions affecting the target water quality index in the water sample to be detected;

the first processing submodule 3022 is configured to mix the water sample reactive material with a water sample to be detected according to a preset mixing manner.

Therefore, the water sample characteristic detection device disclosed by the invention changes the content of the associated ions of the water quality index in the water sample in a water sample reaction material mode, can realize a green and environment-friendly detection process on the basis of simplifying the flow of the water sample detection step, has high reliability, effectively reduces the water sample detection cost and the maintenance cost, improves the convenience and the test efficiency of the water sample detection process, and is favorable for rapid popularization and application in production and life.

In yet another alternative embodiment, the second determining module 303 may include:

the monitoring submodule 3031 is configured to measure the electrical signal of the water sample to be detected every time a preset time interval elapses, and determine the electrical signal measured at the current time and the electrical signal measured at the previous time at the current time as a first temporary electrical signal and a second temporary electrical signal, respectively;

a first determining submodule 3032, configured to determine whether a variation between the first temporary electrical signal and the second temporary electrical signal is greater than a preset threshold;

the second determining submodule 3033 is configured to determine a variation trend of the electrical signal of the water sample to be detected when the first determining submodule 3032 determines that the variation between the first temporary electrical signal and the second temporary electrical signal is smaller than or equal to a preset threshold, and determine the smaller of the first temporary electrical signal and the second temporary electrical signal as the second electrical signal when the variation trend is determined to be a decreasing trend; when it is determined that the trend of change is an increasing trend, the larger of the first and second temporary electric signals is determined as the second electric signal.

Therefore, the water sample characteristic detection device disclosed by the invention can determine the optimal electric signal after full reaction by monitoring the change rate and the trend of the electric signal, can improve the automation level of water sample characteristic detection, is beneficial to acquiring optimal reaction data, effectively improves the detection efficiency and accuracy and enhances the detection reliability.

In yet another alternative embodiment, the apparatus may further include:

the perturbation module 305 is configured to, when the second determining module 3033 determines that the variation between the first temporary electrical signal and the second temporary electrical signal is greater than the preset threshold, execute a water sample perturbation operation, and trigger the second determining module 303 to determine the second electrical signal of the water sample to be detected, where the water sample perturbation operation is used to improve the mixing reaction efficiency of the water sample to be detected and the water sample reactive material.

Therefore, the water sample characteristic detection device disclosed by the invention can judge whether to start the water sample disturbance operation or not according to the change rate of the electric signal by monitoring the change rate of the electric signal, improve the reaction rate of the water sample to be detected and the water sample reaction material through the water sample disturbance operation, improve the automation level of water sample characteristic detection, be beneficial to obtaining optimal reaction data, effectively improve the detection efficiency and accuracy and enhance the detection reliability.

In another optional embodiment, the third determining module 304 is specifically configured to:

after the first determining module 301 and the second determining module 303 obtain the first electric signal and the second electric signal, inputting the first electric signal and the second electric signal into a preset mathematical model, determining an output result of the preset mathematical model, and determining the output result as a detection result of a target water quality index in a water sample to be detected;

the preset mathematical model comprises a preset linear model, a preset nonlinear model or a preset neural network model.

Therefore, the water sample characteristic detection device disclosed by the invention can more accurately realize the detection of the water sample characteristic through the reliable mathematical model, can solve the problems of precision deviation and correction caused by the dispersion of the actual measurement data in the prior art, dynamically integrates and evaluates the test data, and is favorable for improving the precision and accuracy of the detection result.

In this optional embodiment, further optionally, the specific way for determining the output result of the preset mathematical model by the third determining module 304 is as follows:

judging whether associated ions influencing the target water quality index are released or not in the pretreatment operation process of the water sample to be detected by the first pretreatment module 302;

when it is determined that there is a release of the associated ions affecting the target water quality index during the operation of pre-processing the water sample to be detected by the first pre-processing module 302, determining a conductance compensation coefficient, and determining an output result of the preset mathematical model according to the conductance compensation coefficient.

Therefore, the water sample characteristic detection device disclosed by the invention can more accurately realize the detection precision and accuracy and realize the green and environment-friendly detection process by a conductivity compensation mode on the basis of simplifying the water sample detection step flow, has high reliability, effectively reduces the water sample detection cost and the maintenance cost, improves the convenience and the test efficiency of the water sample detection process, and is favorable for rapid popularization and application in production and life.

In yet another alternative embodiment, the apparatus may further include:

the second preprocessing module 306 is configured to preprocess the target data set to obtain a preset mathematical model for the target water quality index, so as to trigger the first determining module 301 to perform an operation of determining the first electrical signal of the water sample to be detected;

the second preprocessing module 306 may include:

the first processing submodule 3061 is used for fitting the target data set to obtain a preset linear model or a preset nonlinear model aiming at the target water quality index; or,

the system is used for inputting a target data set into a neural network to obtain a pre-detection result aiming at a target water quality index; the system is also used for calculating the joint loss between the pre-detection result and the pre-determined detection result aiming at the target water quality index; and the method is also used for carrying out back propagation on the joint loss and obtaining a preset neural network model aiming at the target water quality index through iterative training of a preset period length.

In yet another optional embodiment, the apparatus may further comprise:

a first judging module 307, configured to judge whether the water sample reaction material releases a related ion that affects a target water quality index;

the third processing module 308 performs a deionization operation when the first determining module 307 determines that the water sample reaction material releases the associated ions affecting the target water quality indicator, wherein the deionization operation is used for actively releasing the associated ions affecting the target water quality indicator.

In this embodiment of the present invention, the first determining module 307 may further transmit information about whether the water sample reaction material will release ions affecting the target water quality index to the third determining module 304, so that the third determining module 304 selects a suitable conductance compensation coefficient when calculating the output result of the mathematical model.

Therefore, the water sample characteristic detection device disclosed by the invention can simplify the water sample detection steps through more refined deionization operation, reduce the calculation complexity of the target water quality index and improve the reliability and stability of water sample characteristic detection.

In yet another alternative embodiment, the apparatus may further include:

the temperature determining module 309 is configured to determine a first temperature value when the first determining module 301 determines the first electrical signal and a second temperature value when the second determining module 303 determines the second electrical signal, where the first temperature value and the second temperature value are used to correct the first electrical signal and the second electrical signal, and further trigger the third determining module 304 to perform an operation of determining a detection result of the target water quality indicator in the water sample to be detected according to the first electrical signal and the second electrical signal;

the third determining module 304 is specifically configured to:

according to the first temperature value and the second temperature value, respectively correcting the first electric signal and the second electric signal to obtain a first correction electric signal and a second correction electric signal;

Example four

Referring to fig. 5, fig. 5 is a schematic structural diagram of another water sample property detection apparatus disclosed in the embodiment of the present invention. The device described in fig. 5 may be applied to a water sample characteristic detection device, which may be an independent device, or may be integrated in a water quality detection or water quality treatment apparatus, and the embodiment of the present invention is not limited thereto. As shown in fig. 5, the water sample property detecting apparatus may include:

a memory 401 storing executable program code;

a processor 402 coupled to a memory 401;

the processor 402 calls the executable program code stored in the memory 402 to execute some or all of the steps of the water sample characteristic detecting method disclosed in the first embodiment or the second embodiment of the present invention.

EXAMPLE five

The embodiment of the invention discloses a computer storage medium, which stores computer instructions, and the computer instructions are used for executing the steps in the water sample characteristic detection method disclosed in the first embodiment or the second embodiment of the invention when being called.

The above-described embodiments of the apparatus are merely illustrative, and the modules described as separate components may or may not be physically separate, and the components shown as modules may or may not be physical modules, may be located in one place, or may be distributed on a plurality of network modules. Some or all of the modules may be selected according to actual needs to achieve the purpose of the solution of the present embodiment. One of ordinary skill in the art can understand and implement it without inventive effort.

Through the above detailed description of the embodiments, those skilled in the art will clearly understand that each embodiment may be implemented by software plus a necessary general hardware platform, and may also be implemented by hardware. Based on such understanding, the above technical solutions may be embodied in the form of a software product, which may be stored in a computer-readable storage medium, wherein the storage medium includes a Read-Only Memory (ROM), a Random Access Memory (RAM), a Programmable Read-Only Memory (PROM), an Erasable Programmable Read-Only Memory (EPROM), a One-time Programmable Read-Only Memory (OTPROM), an Electrically Erasable Programmable Read-Only Memory (EEPROM), a Compact Disc-Read-Only Memory (CD-ROM) or other Memory capable of storing data, a magnetic tape, or any other computer-readable medium capable of storing data.

It should be noted that computer program code required for the operation of various portions of this specification can be written in any one or more programming languages, including an object oriented programming language such as Java, scala, smalltalk, eiffel, JADE, emerald, C + +, C #, VB.NET, python, and the like, a conventional programming language such as C, visual Basic, fortran2003, perl, COBOL 2002, PHP, ABAP, a dynamic programming language such as Python, ruby, and Groovy, or other programming languages. The program code may run entirely on a computer (PC, embedded smart device, etc.), as a stand-alone software package on the user's computer, partly on the user's computer and partly on a remote computer or entirely on the remote computer or server. In the latter scenario, the remote computer may be connected to the user's computer through any network format, such as a Local Area Network (LAN) or a Wide Area Network (WAN), or the connection may be made to an external computer (for example, through the Internet), or in a cloud computing environment, or as a service, such as a software as a service (SaaS).

Finally, it should be noted that: the method and the device for detecting characteristics of a water sample disclosed in the embodiments of the present invention are only preferred embodiments of the present invention, and are only used for illustrating the technical solutions of the present invention, rather than limiting the same; although the present invention has been described in detail with reference to the foregoing embodiments, it will be understood by those skilled in the art; the technical solutions described in the foregoing embodiments may still be modified, or some technical features may be equivalently replaced; and the modifications or the substitutions do not make the essence of the corresponding technical solutions depart from the spirit and scope of the technical solutions of the embodiments of the present invention.

Claims

1. A method for detecting characteristics of a water sample, the method comprising:

2. The method for detecting characteristics of water samples according to claim 1, wherein the pre-treatment of the water samples to be detected comprises:

wherein, will treat water sample and water sample reaction material and carry out the mixing operation, include:

determining the type of the water sample reaction material and the predicted using amount of the water sample reaction material which are matched with each other according to the first electric signal and the type of the associated ions which influence the target water quality index in the water sample to be detected;

3. A method for detecting characteristics of a water sample according to claim 2, wherein before said pre-treatment of said water sample to be detected, said method further comprises:

4. A method for detecting characteristics of a water sample according to claim 2 or 3, wherein said determining of said second electrical signal of said water sample to be detected comprises:

5. The method of detecting characteristics of water samples according to claim 4, further comprising:

and when the variation between the first temporary electric signal and the second temporary electric signal is judged to be larger than the preset threshold value, executing water sample disturbance operation and triggering the operation of determining the second electric signal of the water sample to be detected, wherein the water sample disturbance operation is used for improving the mixing reaction efficiency of the water sample to be detected and the water sample reaction material.

6. The method for detecting characteristics of a water sample according to claim 1, wherein the determining the detection result of the target water quality indicator in the water sample to be detected according to the first electrical signal and the second electrical signal comprises:

7. The method for detecting the characteristics of the water sample according to claim 1, wherein before determining the detection result of the target water quality index in the water sample to be detected according to the first electric signal and the second electric signal, the method further comprises:

determining a first temperature value when the first electric signal is determined and a second temperature value when the second electric signal is determined, wherein the first temperature value and the second temperature value are used for correcting the first electric signal and the second electric signal;

wherein, the determining the detection result of the target water quality index in the water sample to be detected according to the first electric signal and the second electric signal comprises:

8. The method for detecting the characteristics of the water samples according to any one of claims 1 to 7, wherein the determining the output result of the preset mathematical model comprises:

judging whether the associated ions influencing the target water quality index are released or not in the pretreatment operation process;

and when judging that the associated ions influencing the target water quality index are released in the pretreatment operation process, determining a conductivity compensation coefficient, and determining an output result of the preset mathematical model according to the conductivity compensation coefficient.

9. A method of detecting characteristics of a water sample according to any one of claims 1 to 6, wherein prior to said determining the first electrical signal of the water sample to be detected, the method further comprises:

preprocessing a target data set to obtain a preset mathematical model aiming at a target water quality index;

10. An apparatus for detecting characteristics of a water sample, the apparatus comprising: