CN-121978295-A - Automatic water quality monitoring method

Abstract

The invention discloses an automatic water quality monitoring method, which is characterized by comprising the following steps of on-site sampling, inputting sample information into a printing tool and printing the sample information on the sample, water sample transportation and handover, scanning and inputting all sample information into a management system, recording the time of sample entering, intelligent sample distribution circulation, intelligent water sample detection by using a water quality analyzer, data analysis and transmission, wherein the intelligent sample distribution circulation comprises a sample test distribution strategy and a quality control scheme, each sample is provided with a unique digital identity card, the system automatically distributes tasks, optimizes a detection path, greatly improves circulation efficiency, avoids deviation caused by manual selection, and simultaneously can continuously operate the instrument for 24 hours, thereby realizing rapid treatment of a large number of samples and meeting the high-throughput requirement of modern monitoring.

Inventors

• ZHANG PENGXIANG
• LIN RILEI
• ZHOU JIHUI
• LIN BINGHUA
• REN MINHONG
• WANG CHAOTAO

Assignees

• 宁波万泽微测环境科技股份有限公司

Dates

Publication Date

20260505

Application Date

20251225

Claims (9)

1. 1. The automatic water quality monitoring method is characterized by comprising the following steps of: S1, sampling on site, inputting sample information into a printing tool and printing the sample information on a sample; s2, carrying out water sample transportation and handover, scanning and inputting all sample information into a management system, and recording the time of entering samples; S3, intelligent sample distribution circulation; S4, detecting an intelligent water sample by using a water quality analyzer; S5, data analysis and transmission.
2. 2. The intelligent sample distribution circulation comprises a sample test distribution strategy and a quality control scheme.
3. 3. The automated water quality monitoring method of claim 1, wherein the sample testing and dispensing strategy comprises the steps of: s1, screening a water sample; S2, the system scans all parameters of each sample according to the serial number sequence on the sample table, if the parameters are detected, the system executes S6, and if the parameters are not detected, the system executes S3; s3, confirming whether the analysis module sampling platform designated by the sample and the corresponding analysis module are idle, if not, executing S6, and if so, executing S4; s4, grabbing the sample and placing the sample into a designated analysis module for detection; s5, waiting for the mechanical arm to be idle; s6, scanning the next sample; S7, if the sampling station finishes sampling, the mechanical arm preferentially executes the action of retrieving the water sample; and S8, continuously and repeatedly scanning all samples until all parameters of all samples are detected.
4. 4. The automated water quality monitoring method of claim 2, wherein the screening of the water sample comprises the steps of: S11-1, manually designating an analysis module for each water sample on the sample stage.
5. 5. The automated water quality monitoring method of claim 2, wherein the screening of the water sample comprises the steps of: S11-2, manually selecting a water sample to be detected on a sample stage; S12, the mechanical arm scans each sample and records parameters and other sample information to be measured of each sample.
6. 6. The automated water quality monitoring method of claim 4, wherein the screening the water sample further comprises the steps of: S13, the system automatically distributes and determines the analysis module corresponding to each water sample according to the recorded information.
7. 7. The automated water quality monitoring method of claim 1, wherein the quality control scheme comprises the steps of: s1, preparing at least 100 groups or more of samples; s2, setting water sample analysis tasks of monitoring parameters, wherein each analysis instrument needs to perform 10% parallel samples/day, 10% quality control/day and 2 blanks/day.
8. S3, after the analysis task is issued, recording analysis starting time; S4, recording and analyzing the number of sample groups by the next day.
9. 9. The automated water quality monitoring method of claim 6, wherein the quality control scheme further comprises the steps of: S5, continuously testing for 2 weeks in the steps S1-S4, and recording the analysis quantity of each detection factor by the system; recording the type, the times and the recovery time of the system operation faults; recording the condition of used sample bottle treatment and waste liquid collection; Recording the specific work and the time length of each day of manual work; recording the analysis quantity of daily water samples, parallel samples, quality control and blank; Recording the fault types and the number of robot faults, sample conveyor belt faults, instrument faults and the like in the running process; recording the condition of automatic stacking and waste liquid collection of the used sample bottles; and recording the number of people and the time length of manual operation.

Description

Automatic water quality monitoring method Technical Field The present invention relates to a monitoring method, and more particularly, to an automated water quality monitoring method. Background In order to comprehensively promote the digital intelligent transformation of an ecological environment monitoring system, a new modern monitoring mode with data intelligence as a core is constructed, technical innovation is also needed in the field of water quality monitoring, the traditional water quality laboratory analysis flow depends on manual operation, the efficiency is limited, the problems of data delay, personal errors and the like exist, and the requirements of the new period on high-frequency, high-precision and full-flow traceable monitoring are difficult to meet. Under the background, a surface water intelligent unmanned monitoring laboratory is developed, and becomes an important technical carrier for promoting automation and intelligent transformation of water quality monitoring, the laboratory is deeply integrated with artificial intelligence, the Internet of things and big data analysis technologies, unmanned operation is carried out on pretreatment steps on the basis of existing equipment through a system integrated with various intelligent analysis instruments, the change of detection projects and technical requirements can be flexibly adapted, sample site information, equipment running state and analysis result data can be comprehensively accessed, an intelligent auditing algorithm is introduced, intelligent upgrading of data quality control and interpretation is realized, thereby providing more timely and reliable technical support for water environment management and decision making, and laying a key technical foundation for constructing an intelligent aquatic environment number monitoring system of accurate perception, intelligent research and judgment and dynamic early warning. Disclosure of Invention Aiming at the defects existing in the prior art, an automatic water quality monitoring method is provided, and unmanned operation design is carried out on the pretreatment step on the basis of the existing equipment. In order to achieve the purpose, the automatic water quality monitoring method comprises the following steps: S1, sampling on site, inputting sample information into a printing tool and printing the sample information on a sample; s2, carrying out water sample transportation and handover, scanning and inputting all sample information into a management system, and recording the time of entering samples; S3, intelligent sample distribution circulation; S4, detecting an intelligent water sample by using a water quality analyzer; S5, data analysis and transmission. The intelligent sample distribution circulation comprises a sample test distribution strategy and a quality control scheme. Further, the sample testing and dispensing strategy comprises the following steps: s1, screening a water sample; S2, the system scans all parameters of each sample according to the serial number sequence on the sample table, if the parameters are detected, the system executes S6, and if the parameters are not detected, the system executes S3; s3, confirming whether the analysis module sampling platform designated by the sample and the corresponding analysis module are idle, if not, executing S6, and if so, executing S4; s4, grabbing the sample and placing the sample into a designated analysis module for detection; s5, waiting for the mechanical arm to be idle; s6, scanning the next sample; S7, if the sampling station finishes sampling, the mechanical arm preferentially executes the action of retrieving the water sample; and S8, continuously and repeatedly scanning all samples until all parameters of all samples are detected. Further, the method for screening the water sample comprises the following steps: S11-1, manually designating an analysis module for each water sample on the sample stage. Further, the method for screening the water sample comprises the following steps: S11-2, manually selecting a water sample to be detected on a sample stage; S12, the mechanical arm scans each sample and records parameters and other sample information to be measured of each sample. Further, the method for screening the water sample further comprises the following steps: S13, the system automatically distributes and determines the analysis module corresponding to each water sample according to the recorded information. Further, the quality control scheme comprises the following steps: s1, preparing at least 100 groups or more of samples; s2, setting water sample analysis tasks of monitoring parameters, wherein each analysis instrument needs to perform 10% parallel samples/day, 10% quality control/day and 2 blanks/day. S3, after the analysis task is issued, recording analysis starting time; S4, recording and analyzing the number of sample groups by the next day. Further, the quality control scheme further comprises