CN114965309A - Turbidity compensation method, system and device for water quality online monitoring system and storage medium - Google Patents
Turbidity compensation method, system and device for water quality online monitoring system and storage medium Download PDFInfo
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Abstract
The application relates to a turbidity compensation method, a system, a device and a storage medium of a water quality online monitoring system, relating to the technical field of water quality safety monitoring, wherein the method comprises the steps of receiving actual water sample information, wherein the actual water sample information comprises water sample turbidity data and water sample absorbance data; calling a preset turbidity numerical value corresponding to the turbidity data of the water sample from a preset database; if a preset turbidity value corresponding to the turbidity data of the water sample is obtained, acquiring a standard measurement curve corresponding to the obtained preset turbidity value according to the obtained preset turbidity value; and generating a water quality detection instruction according to the water sample absorbance data and the standard measurement curve, and executing, wherein the water quality detection instruction is used for substituting the water sample absorbance data into the standard measurement curve to calculate the water sample detection concentration. The method has the advantages of reducing turbidity interference of the water sample and enabling the water sample to be more accurate in detection concentration result.
Description
Technical Field
The application relates to the technical field of water quality safety monitoring, in particular to a turbidity compensation method, a system and a device of a water quality online monitoring system and a storage medium.
Background
Water resources are important basic natural resources, and water quality monitoring is an essential link in the process of protecting water environment. The water quality on-line monitoring system carries out related monitoring work on water quality by referring to a corresponding national standard method through a water sample monitoring module arranged in the water quality on-line monitoring system.
However, the water quality of the water sample collected at the water collection point is uncertain, and when the water quality online monitoring system detects water components such as total phosphorus and total nitrogen, the turbidity of the water sample affects the accuracy of the detection result.
Disclosure of Invention
In order to reduce the influence of the turbidity of a water sample on the accuracy of a detection result, the application provides a turbidity compensation method, a turbidity compensation system, a turbidity compensation device and a storage medium for a water quality online monitoring system.
In a first aspect, the application provides a turbidity compensation method for a water quality online monitoring system, which adopts the following technical scheme:
the turbidity compensation method of the water quality on-line monitoring system comprises the following steps:
receiving actual water sample information, wherein the actual water sample information comprises water sample turbidity data and water sample absorbance data;
calling a preset turbidity numerical value corresponding to the water sample turbidity data from a preset database;
if a preset turbidity value corresponding to the turbidity data of the water sample is obtained, acquiring a standard measurement curve corresponding to the obtained preset turbidity value according to the obtained preset turbidity value;
and generating a water quality detection instruction according to the water sample absorbance data and the standard measurement curve, and executing the water quality detection instruction, wherein the water quality detection instruction is used for substituting the water sample absorbance data into the standard measurement curve to calculate the water sample detection concentration.
Through adopting above-mentioned technical scheme, after detecting system accepted the water information that needs carry out the water sample and detect, according to the water sample turbidity of current water, the turbidity numerical value that the corresponding selection user predetermines. The detection system is internally preset with standard measurement curves under different turbidity conditions, and during testing, the detection system selects the corresponding standard measurement curve according to the corresponding turbidity of the water sample to be detected, and then measures the detection concentration of the water sample. Thereby reducing the interference of the turbidity of the water sample and ensuring that the detected water sample detection concentration result is more accurate.
Optionally, after the step of calling a preset turbidity value corresponding to the water sample turbidity data from a preset database, the method further includes:
if the preset turbidity value corresponding to the turbidity data of the water sample is not obtained, the adjacent preset turbidity values are obtained;
if two adjacent preset turbidity values are obtained, respectively determining adjacent standard measurement curves corresponding to the obtained adjacent preset turbidity values;
calculating to generate a water sample concentration estimated value according to the water sample absorbance data and the two determined adjacent standard measurement curves;
and generating and executing an average concentration calculation instruction according to the water sample concentration estimated value, wherein the average concentration calculation instruction is used for calculating the average value of the two water sample concentration estimated values.
Through adopting above-mentioned technical scheme, when not having in the database with the same turbidity numerical value of presetting of current water sample turbidity, detecting system calls the adjacent turbidity numerical value of presetting of current water sample turbidity to call adjacent standard measurement curve according to two adjacent turbidity numerical values of presetting, calculate the water sample concentration estimated value that generates. And the monitoring system performs summation operation on the two calculated water sample concentration estimated values to obtain the water sample concentration estimated value.
Optionally, after the step of retrieving the adjacent preset turbidity values, the method further includes:
if an adjacent preset turbidity value is obtained, calculating a turbidity difference value according to the turbidity data of the water sample and the obtained adjacent preset turbidity value;
inquiring a turbidity difference threshold value corresponding to the turbidity difference value from a preset database;
if the turbidity phase difference value does not exceed the turbidity difference threshold value, determining an adjacent standard measurement curve corresponding to the called adjacent preset turbidity numerical value;
and executing the steps of generating and executing the water quality detection instruction according to the water sample absorbance data and the called adjacent standard measurement curve.
Through adopting above-mentioned technical scheme, if detecting system only calls an adjacent turbidity numerical value of predetermineeing, explain that quality of water at this moment is better or relatively poor, detecting system then continues to compare water sample turbidity data and adjacent turbidity numerical value of predetermineeing. If the difference between the turbidity data of the water sample and the adjacent preset turbidity values is not large, the detection system determines corresponding adjacent standard measurement curves according to the called adjacent preset turbidity values, so that the subsequent water sample detection operation is carried out.
Optionally, after the step of querying the turbidity difference threshold corresponding to the turbidity difference value from the preset database, the method further includes:
and if the turbidity phase difference value exceeds the turbidity difference threshold value, generating a range exceeding prompt instruction and executing, wherein the range exceeding prompt instruction is used for prompting a user that the turbidity of the water sample exceeds a measurement range.
Through adopting above-mentioned technical scheme, if water sample turbidity data and adjacent turbidity numerical value of predetermineeing differ great, it is great to explain the turbidity of current water sample, far surpasss the detection range that has turbidity data place, and detecting system generation range surpasss the suggestion instruction, and the turbidity of suggestion user's current water sample is higher, surpasss current detection range.
Optionally, before the step of generating and executing the out-of-range prompt instruction, the method further includes:
generating and executing a water sample filtering instruction, wherein the water sample filtering instruction is used for filtering a water sample;
and executing the step of calling a preset turbidity numerical value corresponding to the water sample turbidity data from a preset database.
Through adopting above-mentioned technical scheme, detecting system carries out filtering operation to the higher water sample of turbidity automatically to repeatedly carry out water quality testing operation to the water sample after filtering, improve detecting system to the autoanalysis throughput of high turbidity water sample.
Optionally, after the step of generating and executing the water sample filtering instruction, the method further includes:
acquiring the filtration times of a water sample;
acquiring a filtering frequency threshold corresponding to the filtering frequency of the water sample from a preset database;
and if the filtration frequency of the water sample exceeds the filtration frequency threshold, generating a water turbidity alarm instruction and executing the water turbidity alarm instruction, wherein the water turbidity alarm instruction is used for prompting a user that the water turbidity of the water sample is too high.
Through adopting above-mentioned technical scheme, detecting system carries out filtration operation back to the higher water sample of turbidity, and is repeated to carry out turbidity analysis to the water sample, if the water sample turbidity after the filtration is still higher, detecting system filters the water sample once more, and the repeated analysis water sample turbidity. If the turbidity of the water sample is still high after multiple times of filtration, the fact that the turbidity of the current water sample exceeds the processing range of the detection system is indicated, and the detection system generates a water turbidity alarm instruction to prompt a user that the turbidity of the water sample is too high.
In a second aspect, the present application provides a turbidity compensation system for a water quality online monitoring system, which adopts the following technical scheme:
turbidity compensation system of water quality on-line monitoring system includes:
the system comprises an actual water sample information receiving module, a water sample information analyzing module and a water sample analyzing module, wherein the actual water sample information receiving module is used for receiving actual water sample information, and the actual water sample information comprises water sample turbidity data and water sample absorbance data;
the preset turbidity value calling module is used for calling a preset turbidity value corresponding to the water sample turbidity data from a preset database;
the standard measurement curve acquisition module is used for acquiring a standard measurement curve corresponding to the preset turbidity value according to the preset turbidity value if the preset turbidity value corresponding to the turbidity data of the water sample is obtained;
and the water quality detection instruction generation module is used for generating and executing a water quality detection instruction according to the water sample absorbance data and the standard measurement curve, and the water quality detection instruction is used for substituting the water sample absorbance data into the standard measurement curve to calculate the water sample detection concentration.
In a third aspect, the present application provides an intelligent terminal, which adopts the following technical scheme:
an intelligent terminal comprises a memory and a processor, wherein the memory is stored with a computer program which can be loaded by the processor and can execute any one of the turbidity compensation methods of the water quality online monitoring system.
In a fourth aspect, the present application provides a computer-readable storage medium, which adopts the following technical solutions:
a computer readable storage medium storing a computer program capable of being loaded by a processor and executing any one of the above turbidity compensation methods for an on-line water quality monitoring system.
In summary, the present application includes at least one of the following beneficial technical effects:
after the detection system receives the water body information needing to be subjected to water sample detection, the turbidity numerical value preset by the user is correspondingly selected according to the water sample turbidity of the current water body. The detection system is internally preset with standard measurement curves under different turbidity conditions, and during testing, the detection system selects the corresponding standard measurement curve according to the corresponding turbidity of the water sample to be detected, and then measures the detection concentration of the water sample. Thereby reducing the interference of the turbidity of the water sample and ensuring that the detected water sample detection concentration result is more accurate.
When the preset turbidity numerical value which is the same as the turbidity of the current water sample does not exist in the database, the detection system calls the adjacent preset turbidity numerical values of the turbidity of the current water sample, calls the adjacent standard measurement curves according to the two adjacent preset turbidity numerical values, and calculates and generates the concentration estimated value of the water sample. And the monitoring system performs summation operation on the two calculated water sample concentration estimated values to obtain the water sample concentration estimated value.
If the detection system only calls one adjacent preset turbidity value, the water quality is better or worse, and the detection system continuously compares the water sample turbidity data with the adjacent preset turbidity value. And if the difference between the turbidity data of the water sample and the adjacent preset turbidity numerical values is not large, the detection system determines corresponding adjacent standard measurement curves according to the called adjacent preset turbidity numerical values, so that the subsequent water sample detection operation is carried out.
Drawings
FIG. 1 is a schematic flow chart of a turbidity compensation method of an online water quality monitoring system according to an embodiment of the present application.
Fig. 2 is a schematic flowchart of generating and executing an average concentration calculation instruction in an embodiment of the present application.
Fig. 3 is a schematic flow chart of generating and executing a range out-of-range hint instruction in the embodiment of the present application.
Fig. 4 is a schematic flowchart of a process of obtaining a filtering time threshold corresponding to the filtering time of the water sample from a preset database in the embodiment of the present application.
FIG. 5 is a block diagram of a turbidity compensation system of an online water quality monitoring system according to an embodiment of the present application.
Description of reference numerals: 1. an actual water sample information receiving module; 2. a preset turbidity value calling module; 3. a standard measurement curve acquisition module; 4. and a water quality detection instruction generation module.
Detailed Description
The present application is described in further detail below with reference to figures 1-5.
The embodiment of the application discloses a turbidity compensation method, a turbidity compensation system, a turbidity compensation device and a storage medium for a water quality online monitoring system.
Referring to fig. 1, the turbidity compensation method of the water quality online monitoring system comprises the following steps:
and S101, receiving actual water sample information.
Specifically, the water quality on-line monitoring system comprises a water sample collector, and when the water quality analysis is carried out, the water sample collector carries out sampling operation on a water sample needing to be detected. The water quality on-line monitoring system further comprises a water quality analyzer, and the water quality analyzer is used for analyzing the components of the collected water sample and then calculating the actual water sample information of the current water sample.
The detection system receives actual water sample information sent by the water quality analyzer, wherein the actual water sample information comprises water sample turbidity data and water sample absorbance data. The detection system takes actual water sample information as a reference, and performs subsequent component analysis and calculation operation on the water sample.
S102, calling a preset turbidity numerical value corresponding to the water sample turbidity data from a preset database.
Specifically, after receiving actual water sample information sent by the water quality analyzer, the detection system calls a preset turbidity value corresponding to the water sample turbidity data from a preset database, wherein the preset turbidity value is generated by pre-calculating and setting for a user.
S103, judging whether a preset turbidity value corresponding to the turbidity data of the water sample is called.
Specifically, detecting system makes present water sample turbidity data and preset turbidity numerical value in the database and compares, judges whether have in the database with present water sample turbidity the same preset turbidity data.
If yes, executing S104 to S105;
if not, the process goes to S106.
And S104, acquiring a standard measurement curve corresponding to the called preset turbidity value.
Specifically, if the detection system calls a preset turbidity value corresponding to the turbidity data of the water sample, it is indicated that the comparison data corresponding to the turbidity of the water sample is preset in the database. The detection system acquires a standard measurement curve corresponding to the called preset turbidity value according to the called preset turbidity value.
The detection system is internally preset with standard measurement curves under different turbidity conditions, wherein the standard measurement curves are generated by calculation according to preset turbidity values by a user in advance, and before the detection system works, the user inputs and sets the standard measurement curves corresponding to the preset turbidity values into the detection system in advance to serve as a water sample detection basis of the detection system.
And S105, generating a water quality detection instruction and executing.
Specifically, the detection system generates and executes a water quality detection instruction according to the current water sample absorbance data and the determined standard measurement curve, wherein the water quality detection instruction is used for substituting the water sample absorbance data into the standard measurement curve and calculating to obtain the water sample detection concentration.
After the detection system receives the water body information needing to be subjected to water sample detection, the turbidity numerical value preset by the user is correspondingly selected according to the water sample turbidity of the current water body. During testing, the detection system selects a corresponding standard measurement curve according to the corresponding turbidity of the water sample to be detected, and then measures the detection concentration of the water sample. Thereby reducing the interference of the turbidity of the water sample and ensuring that the detected water sample detection concentration result is more accurate.
S106, calling adjacent preset turbidity values.
Specifically, if the detection system does not call the preset turbidity value corresponding to the turbidity data of the water sample, it is indicated that the preset turbidity value identical to the turbidity of the current water sample does not exist in the current database, and the detection system calls the adjacent preset turbidity value of the turbidity of the current water sample.
For example, the preset turbidity values existing in the database are: a. b, c, d and e, wherein the current water sample turbidity data is x. If a is larger than b, larger than x, larger than c, larger than d, larger than e, then the adjacent preset turbidity values at this time are b and c. If x is larger than a, larger than b, larger than c, larger than d, larger than e, the adjacent preset turbidity value at this time is a.
As an implementation manner, S106 in the embodiment of the present application is optional.
Referring to fig. 2 and 3, after S106, an average concentration calculation instruction is further generated according to the adjacent preset turbidity values, which specifically includes the following steps:
s201, judging whether two adjacent preset turbidity values are called.
Specifically, detecting system calls adjacent turbidity numerical value of predetermineeing that current water sample turbidity corresponds after, judges adjacent quantity of predetermineeing turbidity numerical value to judge whether current water sample turbidity is between a plurality of water sample turbidity numerical values of predetermineeing.
If yes, executing S202 to S204;
if not, then S205-S206 are executed.
S202, adjacent standard measurement curves corresponding to the called adjacent preset turbidity values are respectively determined.
Specifically, when there is not the turbidity value of presetting the same with current water sample turbidity in the database, detecting system calls the adjacent turbidity value of presetting of current water sample turbidity, if detecting system calls two adjacent turbidity values of presetting, detecting system then calls the adjacent standard measurement curve that corresponds with it according to two adjacent turbidity values of presetting respectively.
And S203, calculating and generating a water sample concentration estimated value.
Specifically, the detection system calculates and generates an estimated water sample concentration value according to the water sample absorbance data and the determined two adjacent standard measurement curves. The detection system obtains the estimated value of the water sample concentration corresponding to the absorbance of the current water sample by substituting the absorbance data of the water sample for the determined adjacent standard measurement curve.
And S204, generating and executing an average concentration calculation instruction.
Specifically, the detection system generates and executes an average concentration calculation instruction according to the estimated water sample concentration values, wherein the average concentration calculation instruction is used for calculating an average value of the two estimated water sample concentration values. And the monitoring system performs summation operation on the two calculated water sample concentration estimated values to obtain a water sample concentration estimated value which is closer to the current water sample concentration.
And S205, calculating a turbidity phase difference value.
Specifically, if the detection system only calls one adjacent preset turbidity value, the detection system calculates the turbidity phase difference value according to the turbidity data of the water sample and the called adjacent preset turbidity value. Wherein, turbidity looks difference is the difference between water sample turbidity data and the adjacent turbidity numerical value of predetermineeing called for.
If the detection system only calls one adjacent preset turbidity value, the water quality is better or worse at the moment, the detection system needs to continuously compare the turbidity data of the water sample with the adjacent preset turbidity value, and judges whether the existing data can meet the detection requirement of the water sample.
S206, inquiring a turbidity difference threshold corresponding to the turbidity difference value from a preset database.
Specifically, after the detection system calculates the turbidity phase difference value, the detection system queries a turbidity difference threshold corresponding to the turbidity phase difference value from a preset database, wherein the turbidity difference threshold is generated by presetting for a user, and the turbidity difference threshold is used for representing the numerical difference condition of the turbidity data of the water sample and the adjacent preset turbidity numerical value.
And S207, judging whether the turbidity phase difference value exceeds a turbidity difference threshold value.
Specifically, the detection system judges whether the turbidity phase difference value exceeds a turbidity difference threshold value or not, and whether the numerical difference between the turbidity data of the water sample and the adjacent preset turbidity numerical value is within a detection allowable range or not is obtained.
If not, executing S208 to S209;
if yes, the process goes to S210.
And S208, determining adjacent standard measurement curves corresponding to the called adjacent preset turbidity values.
Specifically, if the turbidity phase difference value does not exceed the turbidity difference threshold value, it is shown that the difference between the turbidity data of the water sample and the adjacent preset turbidity numerical value is not large, and the detection system determines the adjacent standard measurement curve corresponding to the called adjacent preset turbidity numerical value, so as to perform subsequent water sample detection operation.
And S209, generating and executing a water quality detection command.
Specifically, the detection system executes the steps of generating and executing the water quality detection instruction according to the water sample absorbance data and the called adjacent standard measurement curve.
And S210, generating a range exceeding prompt instruction and executing.
Specifically, if the turbidity phase difference value exceeds the turbidity difference threshold value, it is shown that the current water sample is detected based on the existing data, a larger error may exist in the result, and the detection system generates and executes a range exceeding prompt instruction, wherein the range exceeding prompt instruction is used for prompting a user that the turbidity of the water sample exceeds the measurement range.
If the difference between the turbidity data of the water sample and the adjacent preset turbidity numerical value is large, the turbidity of the current water sample is large and far exceeds the detection range where the existing turbidity data are located, the generation range of the detection system exceeds a prompt instruction, and a user is prompted that the turbidity of the current water sample is high and exceeds the existing detection range.
Referring to fig. 4, before S210, a water turbidity alarm instruction is generated according to the number of times of filtering the water sample, which specifically includes the following steps:
and S301, generating a water sample filtering instruction and executing.
Specifically, when water sample turbidity data and adjacent turbidity numerical value of predetermineeing differ great, the water sample turbidity far surpasss when having the detection range at turbidity data place, and detecting system automated generation water sample filtering instruction, wherein, water sample filtering instruction is used for carrying out filtering operation to the water sample.
S302, a step of calling a preset turbidity numerical value corresponding to the turbidity data of the water sample from a preset database is executed.
Specifically, detecting system filters the back to the water sample, carries out and transfers the step of the corresponding preset turbidity numerical value of water sample turbidity data from predetermined database, realizes the operation of detecting once more to the water sample after filtering. For a water sample with higher turbidity, the detection system automatically performs filtering operation on the water sample, and repeatedly performs water quality detection operation on the filtered water sample, so that the automatic analysis and treatment capacity of the detection system on the water sample with high turbidity is improved.
After the detection system carries out filtering operation to the higher water sample of turbidity, the repeated turbidity analysis that carries out to the water sample, if the water sample turbidity after the filtration is still higher, the detection system filters the water sample once more to the repeated analysis water sample turbidity.
And S303, acquiring the filtration times of the water sample.
Specifically, detecting system includes the counter, and when detecting system filtered the water sample, the time-recorder in the detecting system counted the statistics to the accumulative total filtration number of times of current water sample, and the generation water sample filters the number of times, and detecting system receives the water sample filtration number of times that the counter generated.
And S304, acquiring a filtering frequency threshold value corresponding to the filtering frequency of the water sample from a preset database.
Specifically, after the detection system receives the filtration times of the water sample generated by the counter, a filtration time threshold corresponding to the filtration times of the water sample is obtained from a preset database, wherein the filtration time threshold is generated by presetting for a user, and the filtration time threshold is used for representing the maximum filtration times which can be provided by the detection system for the water sample in a normal state.
And S305, if the filtration frequency of the water sample exceeds the filtration frequency threshold, generating a water turbidity alarm instruction and executing.
Specifically, if the water sample filtration number of times exceeds the filtration number of times threshold value, it is still higher to explain the water sample through filtration turbidity many times, and the turbidity of current water sample surpasss detecting system's processing range, and detecting system generates quality of water turbidity and reports an emergency and asks for help or increased vigilance the instruction and carries out, and wherein, quality of water turbidity reports an emergency and asks for help or increased vigilance the instruction and is used for indicateing user's water sample turbidity.
As an implementation manner, S303 to S305 in the embodiment of the present application are optional.
The implementation principle of the turbidity compensation method of the water quality online monitoring system in the embodiment of the application is as follows: after the detection system receives the water body information needing to be subjected to water sample detection, the turbidity numerical value preset by the user is correspondingly selected according to the water sample turbidity of the current water body. The detection system is internally preset with standard measurement curves under different turbidity conditions, and during testing, the detection system selects the corresponding standard measurement curve according to the corresponding turbidity of the water sample to be detected, and then measures the detection concentration of the water sample. Thereby reducing the interference of the turbidity of the water sample and ensuring that the detected water sample detection concentration result is more accurate.
Based on the method, the embodiment of the application also discloses a turbidity compensation system of the water quality online monitoring system. Referring to fig. 5, the turbidity compensation system of the water quality online monitoring system comprises:
actual water sample information receiving module 1, actual water sample information receiving module 1 are used for receiving actual water sample information, and actual water sample information includes water sample turbidity data and water sample absorbance data.
Presetting a turbidity value calling module 2, wherein the presetting turbidity value calling module 2 is used for calling a preset turbidity value corresponding to the turbidity data of the water sample from a preset database.
The standard measurement curve acquisition module 3, the standard measurement curve acquisition module 3 is used for if transfer to the preset turbidity numerical value corresponding with water sample turbidity data, then according to the preset turbidity numerical value of transferring, acquire and transfer the standard measurement curve that preset turbidity numerical value corresponds.
And the water quality detection instruction generation module 4 is used for generating and executing a water quality detection instruction according to the water sample absorbance data and the standard measurement curve, and the water quality detection instruction is used for substituting the water sample absorbance data into the standard measurement curve to calculate the water sample detection concentration.
The embodiment of the application also discloses an intelligent terminal which comprises a memory and a processor, wherein the memory is stored with a computer program which can be loaded by the processor and can execute the turbidity compensation method of the water quality online monitoring system.
The embodiment of the application also discloses a computer readable storage medium. The computer readable storage medium stores therein a computer program that can be loaded by a processor and executes the turbidity compensation method of the water quality online monitoring system as described above, and includes, for example: various media capable of storing program codes, such as a usb disk, a removable hard disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a magnetic disk, or an optical disk.
The above examples are only used to illustrate the technical solutions of the present invention, and do not limit the scope of the present invention. It is to be understood that the described embodiments are merely exemplary of the invention, and not restrictive of the full scope of the invention. All other embodiments, which can be derived by a person skilled in the art from these embodiments without making any inventive step, fall within the scope of the present invention. Although the present invention has been described in detail with reference to the above embodiments, those skilled in the art may still make various combinations, additions, deletions or other modifications of the features of the embodiments of the present invention according to the situation without conflict, so as to obtain different technical solutions without substantially departing from the spirit of the present invention, and these technical solutions also fall within the protection scope of the present invention.
Claims (9)
1. The turbidity compensation method of the water quality on-line monitoring system is characterized by comprising the following steps of:
receiving actual water sample information, wherein the actual water sample information comprises water sample turbidity data and water sample absorbance data;
calling a preset turbidity numerical value corresponding to the water sample turbidity data from a preset database;
if a preset turbidity value corresponding to the turbidity data of the water sample is obtained, acquiring a standard measurement curve corresponding to the obtained preset turbidity value according to the obtained preset turbidity value;
and generating a water quality detection instruction according to the water sample absorbance data and the standard measurement curve, and executing the water quality detection instruction, wherein the water quality detection instruction is used for substituting the water sample absorbance data into the standard measurement curve to calculate the water sample detection concentration.
2. The turbidity compensation method for the water quality online monitoring system according to claim 1, further comprising, after the step of retrieving a preset turbidity value corresponding to the turbidity data of the water sample from a preset database:
if the preset turbidity value corresponding to the turbidity data of the water sample is not obtained, the adjacent preset turbidity values are obtained;
if two adjacent preset turbidity values are obtained, respectively determining adjacent standard measurement curves corresponding to the obtained adjacent preset turbidity values;
calculating to generate a water sample concentration estimated value according to the water sample absorbance data and the two determined adjacent standard measurement curves;
and generating and executing an average concentration calculation instruction according to the water sample concentration estimated value, wherein the average concentration calculation instruction is used for calculating the average value of the two water sample concentration estimated values.
3. A turbidity compensation method for a water quality on-line monitoring system according to claim 2, further comprising, after said step of retrieving adjacent preset turbidity values:
if an adjacent preset turbidity value is obtained, calculating a turbidity difference value according to the turbidity data of the water sample and the obtained adjacent preset turbidity value;
inquiring a turbidity difference threshold value corresponding to the turbidity difference value from a preset database;
if the turbidity phase difference value does not exceed the turbidity difference threshold value, determining an adjacent standard measurement curve corresponding to the called adjacent preset turbidity numerical value;
and executing the steps of generating and executing the water quality detection instruction according to the water sample absorbance data and the called adjacent standard measurement curve.
4. The turbidity compensation method for the water quality on-line monitoring system according to claim 3, further comprising, after the step of querying a preset database for the turbidity difference threshold corresponding to the turbidity difference value:
and if the turbidity phase difference value exceeds the turbidity difference threshold value, generating a range exceeding prompt instruction and executing, wherein the range exceeding prompt instruction is used for prompting a user that the turbidity of the water sample exceeds a measurement range.
5. The turbidity compensation method for the water quality online monitoring system according to claim 4, further comprising the following steps before the step of generating the scale range out of the prompt instruction and executing:
generating and executing a water sample filtering instruction, wherein the water sample filtering instruction is used for filtering a water sample;
and executing the step of calling a preset turbidity numerical value corresponding to the water sample turbidity data from a preset database.
6. The turbidity compensation method for the water quality online monitoring system according to claim 5, further comprising the following steps after the step of generating and executing the water sample filtering instruction:
acquiring the filtration times of a water sample;
acquiring a filtering frequency threshold corresponding to the filtering frequency of the water sample from a preset database;
and if the filtration frequency of the water sample exceeds the filtration frequency threshold, generating a water turbidity alarm instruction and executing the water turbidity alarm instruction, wherein the water turbidity alarm instruction is used for prompting a user that the water turbidity of the water sample is too high.
7. Turbidity compensation system of water quality on-line monitoring system, its characterized in that includes:
the system comprises an actual water sample information receiving module (1) and a water sample information processing module, wherein the actual water sample information receiving module is used for receiving actual water sample information, and the actual water sample information comprises water sample turbidity data and water sample absorbance data;
the preset turbidity value calling module (2) is used for calling a preset turbidity value corresponding to the water sample turbidity data from a preset database;
the standard measurement curve acquisition module (3) is used for acquiring a standard measurement curve corresponding to the preset turbidity value according to the preset turbidity value if the preset turbidity value corresponding to the turbidity data of the water sample is obtained;
and the water quality detection instruction generation module (4) is used for generating and executing a water quality detection instruction according to the water sample absorbance data and the standard measurement curve, and the water quality detection instruction is used for substituting the water sample absorbance data into the standard measurement curve to calculate the water sample detection concentration.
8. The utility model provides an intelligent terminal which characterized in that: comprising a memory and a processor, said memory having stored thereon a computer program which can be loaded by the processor and which performs the method of any of claims 1 to 6.
9. A computer-readable storage medium characterized by: a computer program which can be loaded by a processor and which executes the method according to any of claims 1 to 6.
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| Publication number | Priority date | Publication date | Assignee | Title |
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| CN117074345A (en) * | 2023-10-16 | 2023-11-17 | 山东风途物联网科技有限公司 | Detection and calibration method for optical equipment for water quality detection |
| CN117074345B (en) * | 2023-10-16 | 2024-01-16 | 山东风途物联网科技有限公司 | Detection and calibration method for optical equipment for water quality detection |
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