CN114527078A - Monitoring and early warning method and system based on full-spectrum water quality analyzer - Google Patents
Monitoring and early warning method and system based on full-spectrum water quality analyzer Download PDFInfo
- Publication number
- CN114527078A CN114527078A CN202210184996.0A CN202210184996A CN114527078A CN 114527078 A CN114527078 A CN 114527078A CN 202210184996 A CN202210184996 A CN 202210184996A CN 114527078 A CN114527078 A CN 114527078A
- Authority
- CN
- China
- Prior art keywords
- water quality
- full
- information
- calibration
- early warning
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
Images
Classifications
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N21/00—Investigating or analysing materials by the use of optical means, i.e. using sub-millimetre waves, infrared, visible or ultraviolet light
- G01N21/17—Systems in which incident light is modified in accordance with the properties of the material investigated
- G01N21/25—Colour; Spectral properties, i.e. comparison of effect of material on the light at two or more different wavelengths or wavelength bands
-
- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02A—TECHNOLOGIES FOR ADAPTATION TO CLIMATE CHANGE
- Y02A20/00—Water conservation; Efficient water supply; Efficient water use
- Y02A20/152—Water filtration
Landscapes
- Physics & Mathematics (AREA)
- Spectroscopy & Molecular Physics (AREA)
- Health & Medical Sciences (AREA)
- Life Sciences & Earth Sciences (AREA)
- Chemical & Material Sciences (AREA)
- Analytical Chemistry (AREA)
- Biochemistry (AREA)
- General Health & Medical Sciences (AREA)
- General Physics & Mathematics (AREA)
- Immunology (AREA)
- Pathology (AREA)
- Investigating Or Analysing Materials By Optical Means (AREA)
Abstract
The invention discloses a monitoring and early warning method and a system based on a full-spectrum water quality analyzer, which relate to the technical field of water quality analyzers and comprise an information arrangement module, an equipment monitoring module and an early warning analysis module; the information arrangement module is used for carrying out validity detection on the collected river water quality data; if the detection is qualified, sending the river water quality data to a monitoring center for research and analysis by managers of the monitoring center; if the detection is unqualified, calibrating the full-spectrum water quality analyzer, and acquiring river water quality data again to ensure that the acquired parameter data meet the precision requirement of water quality analysis, so that the water quality analysis result has more credibility; the early warning analysis module is used for carrying out calibration coefficient analysis on calibration information with a timestamp stored in the database, and if the calibration coefficient is larger than or equal to a calibration threshold value, an early warning signal is generated to remind a detector of maintaining or replacing the full-spectrum water quality analyzer so as to improve the measurement precision and accuracy of the full-spectrum water quality analyzer.
Description
Technical Field
The invention relates to the technical field of water quality analyzers, in particular to a monitoring and early warning method and system based on a full-spectrum water quality analyzer.
Background
The water quality monitoring is a process of monitoring and measuring the types of pollutants in the water body, the concentrations and the variation trends of various pollutants and evaluating the water quality condition; the full-spectrum water quality analyzer carries out on-line automatic monitoring on water quality through a sensor, is widely applied to monitoring the water quality of surface water, domestic drinking water and sewage and is used as an important basis for water environment evaluation;
river is used as an important source of tap water, an analyzer is generally required to monitor water quality and color change, the performance of the analyzer directly affects monitoring data, whether the monitoring data is accurate and reliable becomes an important factor affecting public confidence, the existing water quality analyzer is lack of effective and timely safety monitoring means, the measuring result is inaccurate due to abnormal occurrence of a sensor or influence of an external environment, great potential safety hazards and economic loss can be generated, abnormal reasons are difficult to analyze afterwards, in the process of long-time use, a worker is not timely informed of a fault to maintain, the service life of the water quality analyzer is shortened, and therefore a monitoring and early warning method and a monitoring and early warning system based on a full-spectrum water quality analyzer are provided.
Disclosure of Invention
The present invention is directed to solving at least one of the problems of the prior art. Therefore, the invention provides a monitoring and early warning method and system based on a full-spectrum water quality analyzer.
In order to achieve the above object, an embodiment according to a first aspect of the present invention provides a monitoring and early warning system based on a full spectrum water quality analyzer, including a water quality information acquisition module, an information arrangement module, an equipment monitoring module, and an early warning analysis module;
the water quality information acquisition module is used for sampling a river water body by a detector and detecting the sample by a full spectrum water quality analyzer to obtain river water quality data;
the information arrangement module is used for carrying out validity detection on the river water quality data acquired by the water quality information acquisition module; if the detection is qualified, sending the river water quality data to a monitoring center for research and analysis by managers of the monitoring center; if the detection is not qualified, calibrating the full-spectrum water quality analyzer, and acquiring river water quality data again;
the device monitoring module is used for calibrating and monitoring the full-spectrum water quality analyzer, and when the situation that a sensor in the full-spectrum water quality analyzer is calibrated is monitored, the device monitoring module records calibration information and transmits the calibration information to the database by stamping a time stamp for real-time storage;
the early warning analysis module is connected with the database and used for carrying out calibration coefficient analysis on calibration information with timestamps stored in the database, if the calibration coefficient ZH is greater than a calibration threshold value, an early warning signal is generated, and the early warning analysis module is used for transmitting the early warning signal to the controller;
and after receiving the early warning signal, the controller controls the alarm module to give an alarm to remind a detector to maintain or replace the corresponding sensor in the full-spectrum water quality analyzer.
Further, the specific analysis steps of the information sorting module are as follows:
acquiring river water quality data acquired by a water quality information acquisition module, and establishing a curve graph of time variation of each parameter in the river water quality data;
aiming at the same curve diagram, acquiring corresponding parameter data according to a preset acquisition interval duration from an initial moment, making the latest acquired parameter data be XZn, taking values of the XZn and the previous X1 groups of parameter data, and marking the values as interval parameter information groups; wherein X1 is a preset value;
calculating to obtain a standard difference mu of the interval parameter information group according to a standard difference calculation formula, and if the mu is larger than a preset standard difference threshold value, judging that the corresponding parameter data is invalid and detecting the data to be unqualified;
if the mu is smaller than or equal to a preset standard deviation threshold value, solving a deviation value W of the current parameter data according to the XZn and the interval parameter information group, wherein the specific calculation method comprises the following steps:
if the deviation value W is not more than the deviation threshold value, judging that the current parameter data is valid, and detecting to be qualified; otherwise, the detection is unqualified.
Further, when n ≦ X1, the value of X1 is automatically reset, making X1 ≦ n-1.
Further, the parameters in the river water quality data include PH information, water temperature information, turbidity information, dissolved oxygen information, and sulfide information.
Further, the water quality information acquisition module comprises the following specific acquisition steps:
a detector takes river water samples at different positions and different depths of a current river reach through a sampling device arranged on the unmanned aerial vehicle, and then the sewage sample is conveyed to the position of the detector through the unmanned aerial vehicle;
and (4) detecting the river water sample by an inspector through a full-spectrum water quality analyzer to obtain river water quality data.
Further, the calibration information includes a sensor number and a calibration time.
Further, the specific analysis method of the early warning analysis module is as follows:
acquiring calibration information of the same sensor within preset time according to the sensor number; counting the calibration times of the sensor to be C1, intercepting a time period between adjacent calibration moments to be a buffer time period, and marking the detection times of the sensor in each buffer time period as buffer frequency Gi;
comparing the buffer frequency Gi with a frequency threshold, counting the frequency of Gi being smaller than the frequency threshold as P1, and when Gi being smaller than the frequency threshold, obtaining the difference between Gi and the frequency threshold and summing to obtain a difference frequency value ZT; calculating a difference frequency coefficient CP by using a formula CP = P1 × b1+ ZT × b2, wherein b1 and b2 are coefficient factors; the calibration coefficient ZH of the sensor is calculated by using the formula ZH = C1 × g1+ CP × g2, wherein g1 and g2 are coefficient factors.
Further, the monitoring and early warning method based on the full spectrum water quality analyzer is applied to the monitoring and early warning system based on the full spectrum water quality analyzer, and comprises the following steps:
the method comprises the following steps: a detector samples a river water body through a water quality information acquisition module and detects the sample through a full spectrum water quality analyzer to obtain river water quality data;
step two: the river water quality data are subjected to validity detection through the information arrangement module, if the detection is qualified, the river water quality data are sent to a monitoring center for research and analysis by managers of the monitoring center, and if the detection is unqualified, a full-spectrum water quality analyzer is calibrated to re-acquire the river water quality data;
step three: the method comprises the steps that a full-spectrum water quality analyzer is calibrated and monitored through an equipment monitoring module, when it is monitored that a sensor in the full-spectrum water quality analyzer is calibrated, calibration information is recorded, and a timestamp is printed on the calibration information and is transmitted to a database to be stored in real time;
step four: calibration coefficient analysis is carried out on calibration information with timestamps stored in a database through an early warning analysis module, and if the calibration coefficient ZH is larger than a calibration threshold value, an early warning signal is generated to remind a detector to maintain or replace a corresponding sensor in the full-spectrum water quality analyzer.
Compared with the prior art, the invention has the beneficial effects that:
1. according to the invention, an inspector takes river water samples at different positions and different depths of a current river reach through the water quality information acquisition module, so that the river water samples are more representative and accurate; the information arrangement module is used for carrying out validity detection on the river water quality data, establishing a curve graph of each parameter in the river water quality data along with time change, calculating to obtain a deviation value W of the current parameter data, judging that the current parameter data is valid if the W is less than or equal to a deviation threshold value, sending the current parameter data to a monitoring center for research and analysis by a manager of the monitoring center, and otherwise calibrating the full-spectrum water quality analyzer, re-acquiring corresponding parameter data, ensuring that the acquired parameter data meet the precision requirement of water quality analysis, and enabling the water quality analysis result to have public confidence;
2. the equipment monitoring module is used for calibrating and monitoring the full-spectrum water quality analyzer, when the sensor in the full-spectrum water quality analyzer is calibrated, the calibration information is recorded and time-stamped and transmitted to the database for real-time storage, the early warning analysis module is used for carrying out calibration coefficient analysis on the calibration information with the time stamp stored in the database, acquiring calibration information of the same sensor within preset time according to the serial number of the sensor, counting the calibration times of the sensor and the buffer frequency between adjacent calibration moments, calculating to obtain a calibration coefficient ZH of the corresponding sensor, if ZH is more than or equal to a calibration threshold value, and generating an early warning signal to remind a detector to maintain or replace a corresponding sensor in the full-spectrum water quality analyzer, so that the measurement precision and accuracy of the full-spectrum water quality analyzer are improved, and the water quality analysis result has public confidence.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, it is obvious that the drawings in the following description are only some embodiments of the present invention, and for those skilled in the art, other drawings can be obtained according to the drawings without creative efforts.
Fig. 1 is a system block diagram of a monitoring and early warning system based on a full spectrum water quality analyzer.
Fig. 2 is a flow chart of the monitoring and early warning method based on the full spectrum water quality analyzer of the present invention.
Detailed Description
The technical solutions of the present invention will be described clearly and completely with reference to the following embodiments, and it should be understood 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 derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
As shown in fig. 1 to 2, the monitoring and early warning system based on the full spectrum water quality analyzer comprises a water quality information acquisition module, an information arrangement module, a monitoring center, an equipment monitoring module, a database, an early warning analysis module and an alarm module;
the water quality information acquisition module is used for a detector to sample a river water body and detect the sample through a full spectrum water quality analyzer to obtain river water quality data, and the concrete acquisition steps are as follows:
a detector takes river water samples at different positions and different depths of a current river reach through a sampling device arranged on the unmanned aerial vehicle, and then the sewage sample is conveyed to the position of the detector through the unmanned aerial vehicle;
the sampling device is the sewage sampling device in the file with the publication number CN211292173U, can be moved to any position of a water area to be sampled through the floating plate, and simultaneously samples sewage at different depths of the position, so that the water taking efficiency is high, and the sampled sewage is more representative and accurate; meanwhile, the motor and the remote driving unit can be additionally arranged for remote control, so that the labor intensity of workers is reduced, and the safety is improved;
an inspector detects a river water sample through a full-spectrum water quality analyzer to obtain river water quality data, wherein the river water quality data comprises PH value information, water temperature information, turbidity information, dissolved oxygen information and sulfide information;
the water quality information acquisition module is used for transmitting the river water quality data to the information arrangement module, the information arrangement module is used for carrying out validity detection on the river water quality data, and if the detection is qualified, the river water quality data is sent to the monitoring center for research and analysis by managers of the monitoring center; if the detection is not qualified, calibrating the full-spectrum water quality analyzer, and acquiring river water quality data again;
the specific analysis steps of the information sorting module are as follows:
acquiring river water quality data acquired by a water quality information acquisition module, and establishing a curve graph of time variation of each parameter in the river water quality data; wherein the parameters comprise PH value information, water temperature information, turbidity information, dissolved oxygen information and sulfide information;
aiming at the same curve diagram, acquiring corresponding parameter data according to a preset acquisition interval duration from an initial moment, making the latest acquired parameter data be XZn, taking values of the XZn and the previous X1 groups of parameter data, and marking the values as interval parameter information groups; wherein X1 is a preset value;
calculating to obtain a standard difference mu of the interval parameter information group according to a standard difference calculation formula, if mu is larger than a preset standard difference threshold value, judging that corresponding parameter data are invalid, calibrating a sensor for detecting a corresponding parameter in the full-spectrum water quality analyzer, and re-collecting the corresponding parameter data;
if the mu is smaller than or equal to a preset standard deviation threshold value, solving a deviation value W of the current parameter data according to the XZn and the interval parameter information group, wherein the specific calculation method comprises the following steps:
when n is less than or equal to X1; at this time, the value of X1 is automatically reset, so that X1 is n-1;
when n > X1, the formula is used
Calculating to obtain a deviation value W of the current parameter data; comparing the deviation value W with a deviation threshold;
if the deviation value W is not more than the deviation threshold value, judging that the current parameter data is valid, and sending the current parameter data to a monitoring center;
if the deviation value W is larger than the deviation threshold value, judging that the corresponding parameter data are invalid, calibrating a sensor for detecting the corresponding parameter in the full-spectrum water quality analyzer, and acquiring the corresponding parameter data again;
according to the invention, the acquired parameter data are progressively detected, and the precision is adjusted according to the actual situation, so that the acquired parameter data are ensured to meet the precision requirement of water quality analysis, and the water quality analysis result has public confidence;
the device monitoring module is used for calibrating and monitoring the full-spectrum water quality analyzer, and when the situation that a sensor in the full-spectrum water quality analyzer is calibrated is monitored, the device monitoring module records calibration information and transmits the calibration information to the database by stamping a time stamp for real-time storage, wherein the calibration information comprises the serial number of the sensor and the calibration time;
the early warning analysis module is connected with the database and used for carrying out calibration coefficient analysis on the calibration information with the timestamp stored in the database, and the specific analysis method comprises the following steps:
acquiring calibration information of the same sensor within preset time according to the sensor number; counting the calibration times of the sensor to be C1, intercepting a time period between adjacent calibration moments to be a buffer time period, and marking the detection times of the sensor in each buffer time period as buffer frequency Gi;
comparing the buffer frequency Gi with a frequency threshold, counting the frequency of Gi being smaller than the frequency threshold as P1, and when Gi being smaller than the frequency threshold, obtaining the difference between Gi and the frequency threshold and summing to obtain a difference frequency value ZT; calculating a difference frequency coefficient CP by using a formula CP = P1 × b1+ ZT × b2, wherein b1 and b2 are coefficient factors;
normalizing the calibration times and the difference frequency coefficient, taking the values of the calibration times and the difference frequency coefficient, and calculating the calibration coefficient ZH of the sensor by using a formula ZH = C1 × g1+ CP × g2, wherein g1 and g2 are coefficient factors; the larger the calibration coefficient ZH is, the more obvious the trend of poor measurement accuracy of the corresponding sensor is;
comparing the calibration coefficient ZH with a calibration threshold value, if ZH is larger than or equal to the calibration threshold value, generating an early warning signal, transmitting the early warning signal to a controller by an early warning analysis module, and after receiving the early warning signal, controlling an alarm module to give an alarm to remind a detector to maintain or replace a corresponding sensor in the full-spectrum water quality analyzer, so that the measurement precision and accuracy of the full-spectrum water quality analyzer are improved, the measurement error is reduced, and the loss is reduced;
the monitoring and early warning method based on the full spectrum water quality analyzer is applied to the monitoring and early warning system based on the full spectrum water quality analyzer, and comprises the following steps:
the method comprises the following steps: a detector samples a river water body through a water quality information acquisition module and detects the sample through a full spectrum water quality analyzer to obtain river water quality data;
step two: the river water quality data are subjected to validity detection through the information arrangement module, if the detection is qualified, the river water quality data are sent to a monitoring center for research and analysis by managers of the monitoring center, and if the detection is unqualified, a full-spectrum water quality analyzer is calibrated to re-acquire the river water quality data;
step three: the method comprises the steps that a full-spectrum water quality analyzer is calibrated and monitored through an equipment monitoring module, when it is monitored that a sensor in the full-spectrum water quality analyzer is calibrated, calibration information is recorded, and a timestamp is printed on the calibration information and transmitted to a database to be stored in real time;
step four: calibration coefficient analysis is carried out on calibration information with timestamps stored in a database through an early warning analysis module, and if the calibration coefficient ZH is larger than a calibration threshold value, an early warning signal is generated to remind an inspector to maintain or replace a corresponding sensor in the full-spectrum water quality analyzer.
The above formulas are all calculated by removing dimensions and taking numerical values thereof, the formula is a formula which is obtained by acquiring a large amount of data and performing software simulation to obtain the closest real situation, and the preset parameters and the preset threshold value in the formula are set by the technical personnel in the field according to the actual situation or obtained by simulating a large amount of data.
The working principle of the invention is as follows:
when the monitoring and early warning method and the monitoring and early warning system based on the full-spectrum water quality analyzer work, the water quality information acquisition module is used for a detector to sample a river water body, and the full-spectrum water quality analyzer is used for detecting the sample to obtain river water quality data; the information arrangement module is used for carrying out validity detection on the river water quality data, establishing a curve graph of each parameter in the river water quality data along with time change, acquiring corresponding parameter data from the initial moment according to a preset acquisition interval duration aiming at the same curve graph, calculating to obtain a deviation value W of the current parameter data, judging that the current parameter data is valid if the W is less than or equal to a deviation threshold value, sending the current parameter data to a monitoring center for research and analysis by a manager of the monitoring center, and otherwise calibrating the full-spectrum water quality analyzer, re-acquiring the corresponding parameter data, ensuring that the acquired parameter data meet the precision requirement of water quality analysis, and enabling the water quality analysis result to have public confidence;
the equipment monitoring module is used for calibrating and monitoring the full-spectrum water quality analyzer, when the sensor in the full-spectrum water quality analyzer is calibrated, the calibration information is recorded and time-stamped and transmitted to the database for real-time storage, the early warning analysis module is used for carrying out calibration coefficient analysis on the calibration information with the time stamp stored in the database, acquiring calibration information of the same sensor within preset time according to the serial number of the sensor, counting the calibration times of the sensor and the buffer frequency between adjacent calibration moments, calculating to obtain a calibration coefficient ZH of the corresponding sensor, if ZH is more than or equal to a calibration threshold value, and generating an early warning signal to remind a detector to maintain or replace a corresponding sensor in the full-spectrum water quality analyzer, so that the measurement precision and accuracy of the full-spectrum water quality analyzer are improved, and the water quality analysis result has public confidence.
In the description herein, references to the description of "one embodiment," "an example," "a specific example" or the like are intended to mean that a particular feature, structure, material, or characteristic described in connection with the embodiment or example is included in at least one embodiment or example of the invention. In this specification, the schematic representations of the terms used above do not necessarily refer to the same embodiment or example. Furthermore, the particular features, structures, materials, or characteristics described may be combined in any suitable manner in any one or more embodiments or examples.
The preferred embodiments of the invention disclosed above are intended to be illustrative only. The preferred embodiments are not intended to be exhaustive or to limit the invention to the precise forms disclosed. Obviously, many modifications and variations are possible in light of the above teaching. The embodiments were chosen and described in order to best explain the principles of the invention and the practical application, to thereby enable others skilled in the art to best utilize the invention. The invention is limited only by the claims and their full scope and equivalents.
Claims (6)
1. The monitoring and early warning system based on the full-spectrum water quality analyzer is characterized by comprising a water quality information acquisition module, an information arrangement module, an equipment monitoring module and an early warning analysis module;
the water quality information acquisition module is used for sampling a river water body by a detector and detecting the sample by a full spectrum water quality analyzer to obtain river water quality data; the information arrangement module is used for carrying out validity detection on the river water quality data acquired by the water quality information acquisition module;
if the detection is qualified, sending the river water quality data to a monitoring center for research and analysis by managers of the monitoring center; if the detection is not qualified, calibrating the full-spectrum water quality analyzer, and acquiring the river water quality data again;
the device monitoring module is used for calibrating and monitoring the full-spectrum water quality analyzer, and when the situation that a sensor in the full-spectrum water quality analyzer is calibrated is monitored, the device monitoring module records calibration information and transmits the calibration information to the database by stamping a time stamp for real-time storage;
the early warning analysis module is connected with the database and used for analyzing the calibration coefficient of the calibration information with the timestamp stored in the database, and the specific analysis method comprises the following steps:
acquiring calibration information of the same sensor within preset time according to the sensor number, wherein the calibration information comprises the sensor number and calibration time;
counting the calibration times of the sensor to be C1, intercepting a time period between adjacent calibration moments to be a buffer time period, and marking the detection times of the sensor in each buffer time period as buffer frequency Gi;
comparing the buffer frequency Gi with a frequency threshold, counting the frequency of Gi being smaller than the frequency threshold as P1, and when Gi being smaller than the frequency threshold, obtaining the difference between Gi and the frequency threshold and summing to obtain a difference frequency value ZT; calculating a difference frequency coefficient CP by using a formula CP = P1 × b1+ ZT × b2, wherein b1 and b2 are coefficient factors;
calculating a calibration coefficient ZH of the sensor by using a formula ZH = C1 × g1+ CP × g2, wherein g1 and g2 are coefficient factors; if the calibration coefficient ZH is larger than the calibration threshold value, generating an early warning signal, wherein the early warning analysis module is used for transmitting the early warning signal to the controller;
and after receiving the early warning signal, the controller controls the alarm module to give an alarm to remind a detector to maintain or replace the corresponding sensor in the full-spectrum water quality analyzer.
2. The monitoring and early warning system based on the full-spectrum water quality analyzer as claimed in claim 1, wherein the specific analysis steps of the information sorting module are as follows:
acquiring river water quality data acquired by a water quality information acquisition module, and establishing a curve graph of time-varying parameters in the river water quality data;
aiming at the same curve diagram, acquiring corresponding parameter data according to a preset acquisition interval duration from an initial moment, making the latest acquired parameter data be XZn, taking values of the XZn and the previous X1 groups of parameter data, and marking the values as interval parameter information groups; wherein X1 is a preset value;
calculating to obtain a standard difference mu of the interval parameter information group according to a standard difference calculation formula, and if the mu is larger than a preset standard difference threshold value, judging that the corresponding parameter data is invalid and detecting the data to be unqualified;
if the mu is smaller than or equal to a preset standard deviation threshold value, solving a deviation value W of the current parameter data according to the XZn and the interval parameter information group, wherein the specific calculation method comprises the following steps:
if the deviation value W is not more than the deviation threshold value, judging that the current parameter data is valid, and detecting to be qualified; otherwise, the detection is unqualified.
3. The full-spectrum water quality analyzer-based monitoring and early-warning system as claimed in claim 2, wherein when n is less than or equal to X1, the value of X1 is automatically reset, so that X1 is equal to n-1.
4. The full spectrum water quality analyzer-based monitoring and pre-warning system of claim 2, wherein the parameters in the river water quality data include PH information, water temperature information, turbidity information, dissolved oxygen information, and sulfide information.
5. The monitoring and early warning system based on the full-spectrum water quality analyzer as claimed in claim 1, wherein the water quality information acquisition module comprises the following specific acquisition steps:
a detector takes river water samples at different positions and different depths of a current river reach through a sampling device arranged on the unmanned aerial vehicle, and then the sewage sample is conveyed to the position of the detector through the unmanned aerial vehicle;
and (4) detecting the river water sample by an inspector through a full-spectrum water quality analyzer to obtain river water quality data.
6. The monitoring and early warning method based on the full spectrum water quality analyzer is applied to the monitoring and early warning system based on the full spectrum water quality analyzer as claimed in any one of claims 1 to 5, and is characterized by comprising the following steps:
the method comprises the following steps: a detector samples a river water body through a water quality information acquisition module and detects the sample through a full spectrum water quality analyzer to obtain river water quality data;
step two: the river water quality data are subjected to validity detection through the information arrangement module, if the detection is qualified, the river water quality data are sent to a monitoring center for research and analysis by managers of the monitoring center, and if the detection is unqualified, a full-spectrum water quality analyzer is calibrated to re-acquire the river water quality data;
step three: the method comprises the steps that a full-spectrum water quality analyzer is calibrated and monitored through an equipment monitoring module, when it is monitored that a sensor in the full-spectrum water quality analyzer is calibrated, calibration information is recorded, and a timestamp is printed on the calibration information and is transmitted to a database to be stored in real time;
step four: calibration coefficient analysis is carried out on calibration information with timestamps stored in a database through an early warning analysis module, and if the calibration coefficient ZH is larger than a calibration threshold value, an early warning signal is generated to remind a detector to maintain or replace a corresponding sensor in the full-spectrum water quality analyzer.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202210184996.0A CN114527078A (en) | 2022-02-28 | 2022-02-28 | Monitoring and early warning method and system based on full-spectrum water quality analyzer |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202210184996.0A CN114527078A (en) | 2022-02-28 | 2022-02-28 | Monitoring and early warning method and system based on full-spectrum water quality analyzer |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN114527078A true CN114527078A (en) | 2022-05-24 |
Family
ID=81624081
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202210184996.0A Pending CN114527078A (en) | 2022-02-28 | 2022-02-28 | Monitoring and early warning method and system based on full-spectrum water quality analyzer |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN114527078A (en) |
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN115060867A (en) * | 2022-06-27 | 2022-09-16 | 广州喜露宝科技有限公司 | High-precision water quality monitoring method capable of realizing continuous calibration |
| CN117054676A (en) * | 2023-10-13 | 2023-11-14 | 山西智合清浩环保技术服务有限公司 | Operation and maintenance intelligent control system of wastewater on-line monitoring equipment |
-
2022
- 2022-02-28 CN CN202210184996.0A patent/CN114527078A/en active Pending
Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN115060867A (en) * | 2022-06-27 | 2022-09-16 | 广州喜露宝科技有限公司 | High-precision water quality monitoring method capable of realizing continuous calibration |
| CN117054676A (en) * | 2023-10-13 | 2023-11-14 | 山西智合清浩环保技术服务有限公司 | Operation and maintenance intelligent control system of wastewater on-line monitoring equipment |
| CN117054676B (en) * | 2023-10-13 | 2023-12-19 | 山西智合清浩环保技术服务有限公司 | Operation and maintenance intelligent control system of wastewater on-line monitoring equipment |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN107862338B (en) | Marine environment monitoring data quality management method and system based on double inspection method | |
| CN114527078A (en) | Monitoring and early warning method and system based on full-spectrum water quality analyzer | |
| CN112070393A (en) | Wastewater quality detection system that industry and agriculture production discharged | |
| CN116520236B (en) | Abnormality detection method and system for intelligent ammeter | |
| KR20220093597A (en) | Quality inspection system of IoT-based urban meteorological data | |
| CN117491586B (en) | Water quality detection method and system | |
| CN115015623B (en) | Mining equipment operation safety evaluation system based on big data | |
| KR20180031454A (en) | Appartus and method monitoring insulator strings | |
| CN117152926B (en) | Automatic pressure detection early warning system based on data analysis | |
| CN116773239A (en) | Intelligent gas meter controller reliability life prediction method | |
| CN114660245B (en) | Self-detection control method and system for online analytical instrument | |
| CN115980230A (en) | Liquid chromatogram-mass spectrum combined instrument calibration device and calibration method thereof | |
| CN114001887B (en) | Bridge damage assessment method based on deflection monitoring | |
| CN113333304B (en) | Environment-friendly coiled material detection, evaluation and sorting system based on Internet | |
| CN112415168B (en) | Water quality monitoring management system based on internet | |
| CN112946024B (en) | Method for checking measurement characteristics of residual chlorine sensor | |
| CN112649335B (en) | Automatic analysis method for sand extinction coefficient contribution rate of laser radar for monitoring atmospheric particulates | |
| CN116718295A (en) | Remote automatic acquisition system for pressure gauge data | |
| CN117607019B (en) | Intelligent detection method and detection system for electric power fitting surface | |
| CN116660781B (en) | Outdoor high-power bidirectional quick-charging mobile power supply testing system | |
| CN117889943B (en) | Gas ultrasonic flowmeter inspection method and system based on machine learning | |
| CN116878728B (en) | Pressure sensor fault detection analysis processing system | |
| CN113984865B (en) | Multistage calibration method for miniature air station | |
| CN117759493A (en) | Wind power field lightning protection method and device | |
| CN118128101A (en) | BDS-based deep foundation pit monitoring method and BDS-based deep foundation pit monitoring system |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination |