CN116047018A - Water quality monitoring system for microalgae cultivation - Google Patents
Water quality monitoring system for microalgae cultivation Download PDFInfo
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- CN116047018A CN116047018A CN202310339324.7A CN202310339324A CN116047018A CN 116047018 A CN116047018 A CN 116047018A CN 202310339324 A CN202310339324 A CN 202310339324A CN 116047018 A CN116047018 A CN 116047018A
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- XLYOFNOQVPJJNP-UHFFFAOYSA-N water Substances O XLYOFNOQVPJJNP-UHFFFAOYSA-N 0.000 title claims abstract description 160
- 238000012544 monitoring process Methods 0.000 title claims abstract description 40
- 238000012545 processing Methods 0.000 claims abstract description 39
- 230000007613 environmental effect Effects 0.000 claims abstract description 34
- 238000000034 method Methods 0.000 claims abstract description 21
- CURLTUGMZLYLDI-UHFFFAOYSA-N Carbon dioxide Chemical compound O=C=O CURLTUGMZLYLDI-UHFFFAOYSA-N 0.000 claims description 42
- 229910002092 carbon dioxide Inorganic materials 0.000 claims description 21
- 239000001569 carbon dioxide Substances 0.000 claims description 21
- 239000000428 dust Substances 0.000 claims description 15
- 238000005286 illumination Methods 0.000 claims description 15
- 230000002159 abnormal effect Effects 0.000 claims description 9
- 230000036760 body temperature Effects 0.000 claims description 3
- 238000012423 maintenance Methods 0.000 claims description 3
- 230000007547 defect Effects 0.000 abstract description 3
- LFQSCWFLJHTTHZ-UHFFFAOYSA-N Ethanol Chemical compound CCO LFQSCWFLJHTTHZ-UHFFFAOYSA-N 0.000 description 3
- OKKJLVBELUTLKV-UHFFFAOYSA-N Methanol Chemical compound OC OKKJLVBELUTLKV-UHFFFAOYSA-N 0.000 description 3
- PEDCQBHIVMGVHV-UHFFFAOYSA-N Glycerine Chemical compound OCC(O)CO PEDCQBHIVMGVHV-UHFFFAOYSA-N 0.000 description 2
- 230000000694 effects Effects 0.000 description 2
- 238000012986 modification Methods 0.000 description 2
- 230000004048 modification Effects 0.000 description 2
- 239000002994 raw material Substances 0.000 description 2
- 239000003225 biodiesel Substances 0.000 description 1
- 239000001273 butane Substances 0.000 description 1
- 150000001875 compounds Chemical class 0.000 description 1
- 238000010586 diagram Methods 0.000 description 1
- 150000002148 esters Chemical class 0.000 description 1
- 239000000446 fuel Substances 0.000 description 1
- 235000011187 glycerol Nutrition 0.000 description 1
- 239000007788 liquid Substances 0.000 description 1
- IJDNQMDRQITEOD-UHFFFAOYSA-N n-butane Chemical compound CCCC IJDNQMDRQITEOD-UHFFFAOYSA-N 0.000 description 1
- OFBQJSOFQDEBGM-UHFFFAOYSA-N n-pentane Natural products CCCCC OFBQJSOFQDEBGM-UHFFFAOYSA-N 0.000 description 1
- 210000000130 stem cell Anatomy 0.000 description 1
- 230000002194 synthesizing effect Effects 0.000 description 1
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- G—PHYSICS
- G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
- G16C—COMPUTATIONAL CHEMISTRY; CHEMOINFORMATICS; COMPUTATIONAL MATERIALS SCIENCE
- G16C20/00—Chemoinformatics, i.e. ICT specially adapted for the handling of physicochemical or structural data of chemical particles, elements, compounds or mixtures
- G16C20/20—Identification of molecular entities, parts thereof or of chemical compositions
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01D—MEASURING NOT SPECIALLY ADAPTED FOR A SPECIFIC VARIABLE; ARRANGEMENTS FOR MEASURING TWO OR MORE VARIABLES NOT COVERED IN A SINGLE OTHER SUBCLASS; TARIFF METERING APPARATUS; MEASURING OR TESTING NOT OTHERWISE PROVIDED FOR
- G01D21/00—Measuring or testing not otherwise provided for
- G01D21/02—Measuring two or more variables by means not covered by a single other subclass
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N33/00—Investigating or analysing materials by specific methods not covered by groups G01N1/00 - G01N31/00
- G01N33/18—Water
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F17/00—Digital computing or data processing equipment or methods, specially adapted for specific functions
- G06F17/10—Complex mathematical operations
-
- G—PHYSICS
- G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
- G16C—COMPUTATIONAL CHEMISTRY; CHEMOINFORMATICS; COMPUTATIONAL MATERIALS SCIENCE
- G16C20/00—Chemoinformatics, i.e. ICT specially adapted for the handling of physicochemical or structural data of chemical particles, elements, compounds or mixtures
- G16C20/70—Machine learning, data mining or chemometrics
Abstract
The invention discloses a water quality monitoring system for microalgae cultivation, and relates to the technical field of microalgae cultivation. The environmental data and the water quality data in the microalgae cultivation process are collected through the collection unit, and various data are collected, so that diversified data support is provided for monitoring and analyzing the water quality in the microalgae cultivation process, and the defect of low monitoring precision in water quality monitoring caused by single data collected during monitoring and analyzing in the existing scheme is overcome; the processing unit is utilized to carry out simultaneous calculation on all the collected data, so that the overall analysis on the water quality condition in the microalgae cultivation process is facilitated from different aspects, and the accuracy of the water quality monitoring result is improved; the early warning unit performs matching analysis on the water quality running value and an alarm range value preset in the database to obtain an analysis result, and performs early warning prompt on the microalgae cultivation process, so that workers can accurately monitor the water quality in the microalgae cultivation pond through the water quality monitoring system.
Description
Technical Field
The invention relates to the technical field of microalgae cultivation, in particular to a water quality monitoring system for microalgae cultivation.
Background
The microalgae is rich in esters and glycerin, is a good raw material for preparing liquid fuel, is mixed and cultured to produce high-purity ethanol, methanol, butane and other energy compounds, and the microalgae is maximally available in that the stem cells of the microalgae contain more than 70% of microalgae oil, is the best raw material for synthesizing biodiesel by subcritical biotechnology, and is ideal renewable energy.
In the microalgae cultivation process, the water quality of the microalgae cultivation pond needs to be monitored in real time, the traditional monitoring mode monitors the water quality by monitoring the carbon dioxide content and the temperature in the microalgae cultivation pond, so that the problems of less monitoring data, poor monitoring effect and poor monitoring accuracy occur, and when the water quality of the microalgae cultivation pond is monitored, comprehensive analysis cannot be carried out in combination with the surrounding environment, and the accuracy of water quality monitoring is finally affected.
Disclosure of Invention
In order to solve the technical problems, the invention provides a water quality monitoring system for microalgae cultivation, which is used for solving the technical problems that the monitoring data of a microalgae cultivation pond is less and the comprehensive analysis can not be performed by combining with the surrounding environment.
The aim of the invention can be achieved by the following technical scheme:
a microalgae cultivation water quality monitoring system comprises an acquisition unit, an analysis unit, a processing unit, a database and an early warning unit; the acquisition unit is used for acquiring environmental data and water quality data in the microalgae cultivation process and sending the environmental data and the water quality data to the processing unit; the analysis unit respectively processes the collected environmental data and water quality data to obtain environmental processing information and water quality processing information; the processing unit performs simultaneous calculation according to the obtained environment treatment information and water quality treatment information to obtain a water quality operation value, and sends the water quality operation value to the early warning unit; and the early warning unit performs matching analysis on the water quality operation value and an alarm range value preset in the database to obtain an analysis result.
As a further aspect of the invention, the environmental data includes ambient temperature, ambient illumination intensity, and air dust content; the water quality data comprises water temperature, water pH value, water carbon dioxide content and water flow rate.
As a further aspect of the invention, the analysis unit obtains the ambient temperature, the ambient illumination intensity and the air dust content in the ambient data, and takes a value of the real-time temperature in the ambient temperature and marks HWi, i=1, 2, 3..n; the real-time illumination intensity in the environment illumination intensity is valued and marked as GZi; the real-time dust content in the air dust content is valued and marked as HCi; and classifying and combining the marked data to obtain environment processing information.
As a further scheme of the invention, an analysis unit acquires the water temperature, the water pH value, the water carbon dioxide content and the water flow rate in the water quality data; the real-time temperature in the water body temperature is valued and marked as SWi, i=1, 2, 3..n; the real-time pH value of the water body is taken and marked as SJi; the real-time carbon dioxide content in the carbon dioxide content of the water body is valued and marked as EYi; the real-time water flow rate in the water flow rate is valued and marked as SLi; and classifying and combining the marked data to obtain water quality treatment information.
As a further aspect of the present invention, the specific simultaneous calculation step of the processing unit includes: normalizing and taking value of each item of marked data, and utilizing a formula
Calculating to obtain a water quality running value, wherein a1, a2, a3 and a4 are preset proportionality coefficients and are not zero; SWi is real-time water temperature, and SW0 is preset standard water temperature; SJi is the pH value of the water body in real time, SJ0 is the preset standard pH value of the water body, EYi is the carbon dioxide content of the water body in real time, and EY0 is the preset standard carbon dioxide content of the water body; SLi is the real-time water flow rate; YZ is an environmental impact factor.
As a further aspect of the present invention, the calculating step of obtaining the environmental impact factor YZ using a formula includes: normalizing and taking value of each item of marked data, and utilizing a formula
Calculating to obtain environmental impact factors, wherein b1, b2 and b3 are represented as different scale coefficients and are not zero; HWi is denoted as real-time ambient temperature, HW0 is denoted as preset ambient standard temperature, GZi is denoted as real-time ambient illumination intensity, HCi is denoted as real-time air dust content.
As a further scheme of the invention, the specific steps of the pre-warning unit matching analysis are as follows: if SZJ is larger than JBmax, generating a red alarm prompt to prompt the staff that the water quality is abnormal and maintenance is needed immediately; if the JBmin is less than or equal to SZJ and less than or equal to JBmax, generating a yellow early warning prompt to prompt a worker that the water quality is abnormal, and determining and debugging water quality abnormal points; if SZJ is less than JBmin, generating a green normal prompt, and enabling staff to stand by normally; and combining the first early warning signal, the second early warning signal and the third early warning signal to obtain an analysis result, wherein JBmax is the maximum value in the alarm range value, and JBmin is the minimum value in the alarm range value.
As a further scheme of the invention, the database is used for storing the preset alarm range value and storing the analysis result sent in the early warning unit.
The invention has the technical effects and advantages that:
the environmental data and the water quality data in the microalgae cultivation process are collected through the collection unit, and various data are collected, so that diversified data support is provided for monitoring and analyzing the water quality in the microalgae cultivation process, and the defect of low monitoring precision in water quality monitoring caused by single data collected during monitoring and analyzing in the existing scheme is overcome; processing the collected environmental data and water quality data through an analysis unit to obtain environmental processing information and water quality processing information; the processing unit is utilized to carry out simultaneous calculation on the obtained environment processing information and the water quality processing information to obtain a water quality operation value; by carrying out simultaneous calculation on all the collected data, the method is convenient for carrying out overall analysis on the water quality condition in the microalgae cultivation process from different aspects, and improves the accuracy of the water quality monitoring result; the early warning unit performs matching analysis on the water quality running value and an alarm range value preset in the database to obtain an analysis result, and performs early warning prompt on the microalgae cultivation process, so that workers can accurately monitor the water quality in the microalgae cultivation pond through the water quality monitoring system.
Drawings
FIG. 1 is a system block diagram of a water quality monitoring system for microalgae cultivation in accordance with the present invention.
Detailed Description
The invention will be described in further detail with reference to the drawings and the detailed description. The embodiments of the invention have been presented for purposes of illustration and description, and are not intended to be exhaustive or limited to the invention in the form disclosed. Many modifications and variations will be apparent to those of ordinary skill in the art. The embodiments were chosen and described in order to best explain the principles of the invention and the practical application, and to enable others of ordinary skill in the art to understand the invention for various embodiments with various modifications as are suited to the particular use contemplated.
Referring to fig. 1, the invention relates to a water quality monitoring system for microalgae cultivation, which comprises an acquisition unit, an analysis unit, a processing unit, a database and an early warning unit; the acquisition unit is used for acquiring environmental data and water quality data in the microalgae cultivation process, sending the environmental data and the water quality data to the processing unit, and sending the acquired environmental data and water quality data to the database for storage; the environmental data includes ambient temperature, ambient illumination intensity, and air dust content; the environmental data are obtained through monitoring by a temperature sensor, a photosensitive sensor and an air quality monitor; the water quality data comprises water temperature, water pH value, water carbon dioxide content and water flow rate; the water quality data are obtained through monitoring of a water temperature sensor, a PH sensor, a carbon dioxide monitor and a flow rate sensor; the acquisition unit is convenient for provide diversified data support to the monitoring analysis of the water quality in the microalgae cultivation process by acquiring various data, and overcomes the defect of low monitoring precision in the water quality monitoring caused by single data acquired during the monitoring analysis in the existing scheme.
The analysis unit respectively processes the collected environmental data and water quality data to obtain environmental processing information and water quality processing information, the environmental processing information and the water quality processing information are sent to the processing unit, and meanwhile the environmental processing information and the water quality processing information are sent to the database for storage, and the specific processing operation steps of the analysis unit comprise:
acquiring the ambient temperature, the ambient illumination intensity and the air dust content in the ambient data, and taking a value of the real-time temperature in the ambient temperature and marking the value as HWi, i=1, 2, 3..n; the real-time illumination intensity in the environment illumination intensity is valued and marked as GZi; the real-time dust content in the air dust content is valued and marked as HCi; classifying and combining all marked data to obtain environment processing information;
acquiring water temperature, water pH value, water carbon dioxide content and water flow rate in water quality data; the real-time temperature in the water body temperature is valued and marked as SWi, i=1, 2, 3..n; the real-time pH value of the water body is taken and marked as SJi; the real-time carbon dioxide content in the carbon dioxide content of the water body is valued and marked as EYi; the real-time water flow rate in the water flow rate is valued and marked as SLi; and classifying and combining the marked data to obtain water quality treatment information.
The processing unit performs simultaneous calculation according to the obtained environment treatment information and water quality treatment information to obtain a water quality operation value, and sends the water quality operation value to the early warning unit, and meanwhile, the processing unit sends the calculated water quality operation value to the database for storage; by carrying out simultaneous calculation on all the collected data, the method is convenient for carrying out overall analysis on the water quality condition in the microalgae cultivation process from different aspects, and improves the accuracy of the water quality monitoring result;
the specific simultaneous calculation step of the processing unit comprises the following steps: normalizing and taking value of each item of marked data, and utilizing a formula
Calculating to obtain a water quality running value, wherein a1, a2, a3 and a4 are preset proportionality coefficients and are not zero; SWi is real-time water temperature, and SW0 is preset standard water temperature; SJi isReal-time water pH value, SJ0 is preset standard water pH value, EYi is real-time water carbon dioxide content, EY0 is preset standard water carbon dioxide content; SLi is the real-time water flow rate; YZ is an environmental impact factor; the preset standard water temperature, the standard water pH value and the standard water carbon dioxide content are set according to the cultivated microalgae and the cultivation environment;
the calculating step of obtaining the environmental impact factor YZ by using a formula comprises the following steps: normalizing and taking value of each item of marked data, and utilizing a formula
Calculating to obtain environmental impact factors, wherein b1, b2 and b3 are represented as different scale coefficients and are not zero; HWi is denoted as real-time ambient temperature, HW0 is denoted as preset ambient standard temperature, GZi is denoted as real-time ambient illumination intensity, HCi is denoted as real-time air dust content.
The early warning unit performs matching analysis on the water quality running value and an alarm range value preset in the database to obtain an analysis result, and performs early warning prompt on the microalgae cultivation process, so that a worker can accurately monitor the water quality in the microalgae cultivation pond through the water quality monitoring system; the specific steps of the matching analysis of the early warning unit are as follows:
if SZJ is larger than JBmax, generating a red alarm prompt to prompt the staff that the water quality is abnormal and maintenance is needed immediately;
if the JBmin is less than or equal to SZJ and less than or equal to JBmax, generating a yellow early warning prompt to prompt a worker that the water quality is abnormal, and confirming and debugging water quality abnormal points to enable the data to fall into a normal range value;
if SZJ is less than JBmin, generating a green normal prompt, and enabling staff to stand by normally; and combining the first early warning signal, the second early warning signal and the third early warning signal to obtain an analysis result, and sending the analysis result into a database by the early warning unit for storage, wherein JBmax is the maximum value in the alarm range value, and JBmin is the minimum value in the alarm range value.
The database is used for storing the preset alarm range value, the environment data and the water quality data acquired by the acquisition unit, the environment processing information and the water quality processing information obtained by the processing of the analysis unit, and the water quality operation value obtained by the calculation of the processing unit.
It will be apparent that the described embodiments are only some, but not all, embodiments of the invention. All other embodiments, which can be made by those skilled in the art and which are included in the embodiments of the present invention without the inventive step, are intended to be within the scope of the present invention. Structures, devices and methods of operation not specifically described and illustrated herein, unless otherwise indicated and limited, are implemented according to conventional means in the art.
Claims (6)
1. The water quality monitoring system for microalgae cultivation is characterized by comprising an acquisition unit, an analysis unit, a processing unit, a database and an early warning unit;
the acquisition unit is used for acquiring environmental data and water quality data in the microalgae cultivation process and sending the environmental data and the water quality data to the processing unit;
the analysis unit respectively processes the collected environmental data and water quality data to obtain environmental processing information and water quality processing information; the processing unit performs simultaneous calculation according to the obtained environment treatment information and water quality treatment information to obtain a water quality operation value, and sends the water quality operation value to the early warning unit;
the specific simultaneous calculation step of the processing unit comprises the following steps: normalizing and taking value of each item of marked data, and utilizing a formula
Calculating to obtain a water quality running value, wherein a1, a2, a3 and a4 are preset proportionality coefficients and are not zero; SWi is real-time water temperature, and SW0 is preset standard water temperature; SJi is the pH value of the water body in real time, SJ0 is the preset standard pH value of the water body, EYi is the carbon dioxide content of the water body in real time, and EY0 is the preset standard carbon dioxide content of the water body; SLi is the real-time water flow rate; YZ isAn environmental impact factor;
the calculating step of obtaining the environmental impact factor YZ by using a formula includes: normalizing and taking value of each item of marked data, and utilizing a formula
Calculating to obtain environmental impact factors, wherein b1, b2 and b3 are represented as different scale coefficients and are not zero; HWi as real-time ambient temperature, HW0 as preset ambient standard temperature, GZi as real-time ambient illumination intensity, HCi as real-time air dust content;
and the early warning unit performs matching analysis on the water quality running value and an alarm range value preset in the database to obtain an analysis result, and performs early warning prompt.
2. The water quality monitoring system for microalgae cultivation in accordance with claim 1, wherein the environmental data includes environmental temperature, environmental illumination intensity, and air dust content; the water quality data comprises water temperature, water pH value, water carbon dioxide content and water flow rate.
3. The water quality monitoring system for microalgae cultivation according to claim 2, wherein the analysis unit obtains the ambient temperature, the ambient illumination intensity and the air dust content in the ambient data, and the real-time temperature in the ambient temperature is valued and marked as HWi, i=1, 2, 3..n; the real-time illumination intensity in the environment illumination intensity is valued and marked as GZi; the real-time dust content in the air dust content is valued and marked as HCi; and classifying and combining the marked data to obtain environment processing information.
4. The water quality monitoring system for microalgae cultivation according to claim 3, wherein the analysis unit obtains water temperature, water pH value, water carbon dioxide content and water flow rate in the water quality data; the real-time temperature in the water body temperature is valued and marked as SWi, i=1, 2, 3..n; the real-time pH value of the water body is taken and marked as SJi; the real-time carbon dioxide content in the carbon dioxide content of the water body is valued and marked as EYi; the real-time water flow rate in the water flow rate is valued and marked as SLi; and classifying and combining the marked data to obtain water quality treatment information.
5. The water quality monitoring system for microalgae cultivation according to claim 4, wherein the specific steps of the pre-warning unit matching analysis are as follows: if SZJ is larger than JBmax, generating a red alarm prompt to prompt the staff that the water quality is abnormal and maintenance is needed immediately; if the JBmin is less than or equal to SZJ and less than or equal to JBmax, generating a yellow early warning prompt to prompt a worker that the water quality is abnormal, and determining and debugging water quality abnormal points; if SZJ is less than JBmin, generating a green normal prompt, and enabling staff to stand by normally; and combining the first early warning signal, the second early warning signal and the third early warning signal to obtain an analysis result, wherein JBmax is the maximum value in the alarm range value, and JBmin is the minimum value in the alarm range value.
6. The system according to claim 5, wherein the database is used for storing a preset alarm range value and storing an analysis result sent in the early warning unit.
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Application publication date: 20230502 |