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CN-115521866-B - Full-automatic intelligent microalgae cultivation system

CN115521866BCN 115521866 BCN115521866 BCN 115521866BCN-115521866-B

Abstract

The invention relates to the technical field of microalgae cultivation, in particular to a full-automatic intelligent microalgae cultivation system, which comprises a server, a growth state management and control analysis unit, a pretreatment unit, an environment analysis unit, a pollution prevention and control unit and a display terminal, wherein the server is used for controlling the growth state of the microalgae; according to the invention, the microalgae is deeply analyzed from the environmental factors and growth state factors of the collected microalgae, so that the microalgae water quality is monitored in real time, the quality influence factors of the water quality are collected through the pretreatment unit, the consumption change of the water quality components is analyzed, the microalgae growth water quality is replaced in time, the microalgae cultivation quality is improved, and through formulated and layered analysis and comparison, the proper medicine amount is added in time according to the water quality pollution degree, and the early warning is performed in time in a timing display mode.

Inventors

  • CAI CHANGHUI

Assignees

  • 安徽省金鼎安全科技股份有限公司

Dates

Publication Date
20260508
Application Date
20221025

Claims (7)

  1. 1. The full-automatic intelligent microalgae cultivation system is characterized by comprising a server, a growth state management and control analysis unit, a preprocessing unit, an environment analysis unit, a pollution prevention and control unit and a display terminal; The server is in bidirectional communication connection with the growth state management and control analysis unit, the server is in bidirectional communication connection with the preprocessing unit, the server is in bidirectional communication connection with the display terminal, the server is in bidirectional communication connection with the environment analysis unit, and the environment analysis unit is in bidirectional communication connection with the pollution prevention and control unit; The growth state management and control analysis unit is used for collecting the microalgae environmental factors and the growth state factors, analyzing the microalgae environmental factors and the growth state factors to obtain management and control signals, and sending the management and control signals to the display terminal through the server, wherein the microalgae environmental factors comprise average illumination variation values and environmental carbon-oxygen variation ratios, and the growth state factors comprise microalgae leaf areas and cellular grease contents; The pretreatment unit is used for collecting quality influence factors of water quality, analyzing consumption changes of water quality components, obtaining replacement signals and sending the replacement signals to the display terminal through the server, wherein the quality influence factors comprise loss rate values of nutrient salts, carbon dioxide consumption rate values and change rate values of water quality PH values; The environment analysis unit is used for collecting microalgae to generate an external environment factor and an internal environment factor, and carrying out environment analysis on the external environment factor and the internal environment factor to obtain an internal factor N and an external factor W, and sending the internal factor N and the external factor W to the pollution prevention and control unit; When the pollution prevention and control unit receives the internal factor N and the external factor W, a light pollution signal or a heavy pollution signal is obtained through analysis, and the light pollution signal or the heavy pollution signal is sent to a display terminal through a server; The display terminal immediately displays the word "environment abnormality" after receiving the control signal, the display terminal receives the replacement signal and displays the word "replacement", the display terminal receives the light pollution signal or the heavy pollution signal and generates corresponding word early warning, the light pollution signal corresponds to the light pollution early warning, the heavy pollution signal corresponds to the heavy pollution early warning, and meanwhile, time display is generated, namely, timing is started while the word display is performed.
  2. 2. The fully automatic intelligent microalgae cultivation system according to claim 1, wherein the growth state management and control analysis unit specifically analyzes the microalgae environmental factor as follows: setting a historical day as a first time threshold, acquiring total illumination duration of microalgae in the first time threshold, recording maximum and minimum illumination intensities in the total time duration, respectively recording corresponding moments of the maximum and the minimum illumination intensities, calculating the phase difference duration of the maximum and the minimum illumination intensities, dividing the difference between the maximum and the minimum illumination intensities by the two time durations to obtain an average illumination variation value, marking the average illumination variation value as PGz; Step two, through the formula Obtaining an environmental coefficient Ho, wherein a > b >0, a+b <1, a and b are correction factors of the average illumination variation value and the environmental carbon-oxygen variation ratio respectively.
  3. 3. The fully automatic intelligent microalgae cultivation system according to claim 1, wherein the growth state management analysis unit specifically includes the following steps: Marking the number of all microalgae cells in a culture pond as S, obtaining the cell division number of each microalgae in a first time threshold, constructing a change curve of the time-cell division number of each microalgae, marking the microalgae corresponding to the curve which is always increased in the change curve of the time-cell division number as normal microalgae Z, marking the microalgae corresponding to the other curve as abnormal microalgae, collecting the content of cell grease in the abnormal microalgae, constructing a change curve of the time-cell grease of each microalgae, re-marking the microalgae corresponding to the curve which is always increased in the change curve of the time-cell grease content as normal microalgae Z1, re-marking the microalgae corresponding to other curves as excluding microalgae, and calculating: obtaining a growth coefficient So; the second step is that the environmental coefficient Ho and the growth coefficient So are calculated to obtain a growth state coefficient Yo, yo is equal to the environmental coefficient Ho multiplied by the growth coefficient So, and the growth state coefficient Yo is compared with a preset growth state coefficient for analysis: if the growth state coefficient Yo is more than or equal to the preset growth state coefficient, the microalgae water quality is judged to be normal, no signal is generated, and if the growth state coefficient Yo is less than the preset growth state coefficient, the microalgae water quality is judged to be extremely poor, and a control signal is generated.
  4. 4. The fully automatic intelligent microalgae cultivation system of claim 1, wherein the pretreatment unit specifically analyzes the water quality as follows: Setting a history of one week as a second time threshold, taking the second time threshold as an X axis, taking nutrient salt, carbon dioxide and water pH value as a Y axis, constructing a rectangular coordinate system, recording values corresponding to the nutrient salt, the carbon dioxide and the water pH value every day in the second time threshold, making a change curve of the nutrient salt, the carbon dioxide and the water pH value, recording a curve of the nutrient salt, the carbon dioxide and the water pH value in the water without microalgae planting in the second time threshold, and obtaining a loss rate value, a carbon dioxide consumption rate value and a change rate value of the nutrient salt and the water pH value in the water within the second time threshold by calculating the change curve of the nutrient salt, the carbon dioxide and the water pH value in the water without microalgae planting in the second time threshold, wherein the change curves are marked as YSz, CSz and SJz respectively; S2, through a formula Obtaining a water quality coefficient Sz, wherein f 1 ＞f 2 ＞f 3 ＞0,f 1 +f 2 +f 3 =1.236,f 1 、f 2 and f 3 are correction factors of a loss rate value of nutrient salt, a carbon dioxide consumption rate value and a change rate value of water pH value respectively, and comparing the water quality coefficient Sz with a preset water quality coefficient for analysis; If the water quality coefficient Sz is more than or equal to the preset water quality coefficient, judging that the water quality is poor, and generating a replacement signal; If the water quality coefficient Sz is smaller than the preset water quality coefficient, judging that the water quality is normal, and generating no signal.
  5. 5. The fully automatic intelligent microalgae cultivation system of claim 1, wherein the environmental quality analysis steps outside the environmental analysis unit are as follows: SS1, obtaining a maximum temperature value and a minimum temperature value in a microalgae growth environment at each time in a first time threshold, obtaining the maximum humidity value and the minimum humidity value in the microalgae growth environment at each time in the first time threshold, respectively calculating the maximum temperature value and the minimum temperature value and the difference value of the maximum humidity value and the minimum humidity value, dividing the difference value of the temperature by the difference value of the humidity to obtain a temperature-humidity ratio at each time, constructing a rectangular coordinate system of time-temperature-humidity ratio in the first time threshold, wherein the time is an X axis, the temperature-humidity ratio is a Y axis, a WS curve is marked, a rectangular coordinate system of time-temperature-humidity ratio of a normal microalgae growth environment is simultaneously constructed, a WS1 curve is marked, points, at which the difference value of the temperature-humidity ratio at the same time in the two curves is more than or equal to 1 are recorded, the number of the abnormal points in the first time threshold is marked as an air temperature-humidity abnormal constant, and the number of the abnormal points is marked as WSb; SS2, acquiring initial volume and final actual volume of microalgae water quality in a first time threshold, acquiring volumes of enemies in the water quality, dividing the volumes of the enemies in the water quality by the initial volume and the actual volume of the water quality to obtain corresponding ratio values, acquiring a difference value between the two to obtain an increase value of the water-based enemies, and marking the increase value as SHb, and performing a formula on the increase value of the water-based enemies by using the following formula The external factor W, alpha and beta are the correction factors of the air temperature-humidity abnormal constant and the water-based internal enemy organism increment value, alpha > beta >0 and alpha+beta >1 respectively.
  6. 6. The fully automatic intelligent microalgae cultivation system of claim 1, wherein the environmental quality analysis steps in the environmental analysis unit are as follows: Acquiring a water quality turbidity value at each time in a first time threshold, constructing a time-turbidity value line graph, constructing a normal water quality time-turbidity value line graph in the first time threshold, acquiring turbidity values corresponding to each time of two line graphs in the first time threshold, obtaining a difference value between the two line graphs, comparing the difference value with a preset interval, recording a comparison result, recording the number of times which are not in the preset interval, marking the number as water quality turbidity turbidity value as SZh, acquiring a water quality temperature value at each time in the first time threshold, constructing a water quality temperature value set in the first time threshold, acquiring the maximum and minimum subsets in the water quality temperature value set, obtaining the difference value between the maximum and minimum subsets, setting the difference value as microalgae water temperature change amplitude, marking the difference value as HCh, and obtaining a water quality change value of the microalgae according to a formula Obtaining an internal factor N, wherein epsilon and gamma are correction factors of PH variation value of the microalgae water quality and dust area ratio of the microalgae surface respectively, epsilon > gamma >0 and epsilon+gamma >1.
  7. 7. The fully automatic intelligent microalgae cultivation system of claim 1, wherein the specific analysis steps of the pollution prevention and control unit are as follows: Through the formula Obtaining a pollution coefficient WR, and comparing the pollution coefficient WR with a preset pollution interval for analysis; If the pollution coefficient WR is less than the minimum value of the preset pollution interval, judging that the microalgae is pollution-free, and generating no signal; if the pollution coefficient WR is in a preset pollution interval, judging that the microalgae are lightly polluted, and generating a lightly polluted signal; And if the pollution coefficient WR is greater than the preset pollution interval maximum value, judging that the microalgae are seriously polluted, and generating a serious pollution signal.

Description

Full-automatic intelligent microalgae cultivation system Technical Field The invention relates to the technical field of microalgae cultivation, in particular to a full-automatic intelligent microalgae cultivation system. Background Microalgae are low-grade plants which grow in water and are extremely widely distributed, a cell factory driven by sunlight absorbs CO 2 through efficient photosynthesis of microalgae cells, light energy is converted into chemical energy of carbohydrates such as fat or starch and O 2 is released, carbon dioxide is fixed through photosynthesis of the microalgae, gaseous carbon is converted into biological organic carbon, and microalgae energy is clean energy with zero carbon dioxide emission; with the increasing of microalgae cultivation scale and the increasing of cultivation period and cultivation batch in the cultivation process, the microalgae will not be polluted in the cultivation process, wherein the harm of bacteria and zooplankton is the most serious, which not only affects the quality of microalgae but also may cause cultivation failure when serious, causing serious economic loss, and the existing microalgae cultivation has the following defects: 1. the pollution condition can not be known in time and how to make reasonable treatment; 2. The water quality can not be replaced in time according to the consumption condition of nutrient salts in the water quality, so that the microalgae cultivation risk is increased easily, and economic loss is caused; in view of the above technical drawbacks, a solution is now proposed. Disclosure of Invention The invention aims to provide a full-automatic intelligent microalgae cultivation system for solving the technical defects, which is characterized in that microalgae are deeply analyzed from the environmental factors and growth state factors of collected microalgae, the quality of the microalgae is monitored in real time, the quality influence factors of the water are collected through a pretreatment unit, the consumption change of the water quality components is analyzed, the growth water quality of the microalgae is replaced in time, the microalgae cultivation quality is improved, and through formulated and layered analysis and comparison, proper medicine amount is added in time according to the pollution degree of the water quality, and early warning is performed in time in a display timing mode. The aim of the invention can be achieved by the following technical scheme: The full-automatic intelligent microalgae cultivation system comprises a server, a growth state management and control analysis unit, a preprocessing unit, an environment analysis unit, a pollution prevention and control unit and a display terminal, wherein the server is in bidirectional communication connection with the growth state management and control analysis unit, the server is in bidirectional communication connection with the preprocessing unit, the server is in bidirectional communication connection with the display terminal, the server is in bidirectional communication connection with the environment analysis unit, and the environment analysis unit is in bidirectional communication connection with the pollution prevention and control unit; The growth state management and control analysis unit is used for collecting the environmental factors and growth state factors of the microalgae, analyzing the environmental factors and growth state factors of the microalgae, obtaining management and control signals and sending the management and control signals to the display terminal through the server, wherein the environmental factors comprise average illumination variation values and environmental carbon-oxygen variation ratios, and the growth state factors comprise microalgae leaf areas and cellular grease contents; The pretreatment unit is used for collecting quality influence factors of water quality, analyzing consumption changes of water quality components, obtaining replacement signals and sending the replacement signals to the display terminal through the server, wherein the quality influence factors comprise loss rate values of nutrient salts, carbon dioxide consumption rate values and change rate values of water quality PH values; The environment analysis unit is used for collecting the external growth environment factors and the internal growth environment factors of the microalgae, and carrying out environment analysis on the external growth environment factors and the internal growth environment factors to obtain internal factor factors N and external factor factors W, and sending the internal factor factors N and the external factor factors W to the pollution prevention and control unit; When the pollution prevention and control unit receives the internal factor N and the external factor W, a light pollution signal and a heavy pollution signal are obtained through analysis, and the light pollution signal and the heavy pollution signal are sent to a