Full-automatic intelligent microalgae cultivation system

Abstract

The present application relates to the technical field of microalgae cultivation, and particularly relates to a full-automatic intelligent microalgae cultivation system, comprising a server, a growth state control and analysis unit, a pretreatment unit, an environment analysis unit, a pollution prevention and control unit and a display terminal; in the present application, the microalgae are deeply analyzed from the collected environmental factors and growth state factors of the microalgae, which is helpful for real-time supervision of the water quality of the microalgae, and the quality influence factors of the water quality are collected by the pretreatment unit, and the consumption change of the water quality composition is analyzed, which is helpful for timely replacement of the growth water quality of the microalgae, improvement of the quality of the microalgae cultivation, and timely addition of a proper amount of medicament according to the water quality pollution degree through formula analysis and comparison, and timely early warning through the display timing mode.

Description

Technical Field

[0001] This invention relates to the field of microalgae cultivation technology, and more particularly to a fully automated intelligent microalgae cultivation system. Background Technology

[0002] Microalgae are a diverse and widely distributed group of lower plants that grow in water. They are sunlight-driven cellular factories that absorb CO2 through efficient photosynthesis, converting light energy into the chemical energy of carbohydrates such as fats or starches and releasing O2. Microalgae cultivation involves fixing carbon dioxide through photosynthesis and converting gaseous carbon into biological organic carbon. Microalgae energy is a clean energy source with zero carbon dioxide emissions.

[0003] As the scale of microalgae cultivation increases, along with the growing number of cultivation cycles and batches, contamination is inevitable during the cultivation process. Bacteria and zooplankton pose the most serious risks, not only affecting the quality of the microalgae but also potentially leading to cultivation failure and severe economic losses. Current microalgae cultivation methods suffer from the following shortcomings:

[0004] 1. Unable to promptly understand the pollution situation and how to make reasonable remediation efforts;

[0005] 2. Failure to promptly change the water based on the consumption of nutrients in the water can greatly increase the risk of microalgae cultivation and cause economic losses.

[0006] To address the aforementioned technical shortcomings, a solution is proposed. Summary of the Invention

[0007] The purpose of this invention is to provide a fully automated intelligent microalgae cultivation system to address the aforementioned technical deficiencies. It involves in-depth analysis of microalgae by collecting environmental and growth status factors, facilitating real-time monitoring of water quality. Furthermore, the pretreatment unit collects water quality influencing factors and analyzes changes in water component consumption, enabling timely replacement of the microalgae growth water and improving the quality of microalgae cultivation. Through formulaic and hierarchical analysis and comparison, the system promptly adds appropriate drug dosages based on the degree of water pollution and provides timely warnings via display and timing.

[0008] The objective of this invention can be achieved through the following technical solutions:

[0009] The fully automated intelligent microalgae cultivation system includes a server, a growth status control and analysis unit, a pretreatment unit, an environmental analysis unit, a pollution control unit, and a display terminal. The server has a two-way communication connection with the growth status control and analysis unit, the server has a two-way communication connection with the pretreatment unit, the server has a two-way communication connection with the display terminal, the server has a two-way communication connection with the environmental analysis unit, and the environmental analysis unit has a two-way communication connection with the pollution control unit.

[0010] The growth status control and analysis unit is used to collect environmental factors and growth status factors of microalgae, analyze these factors, obtain control signals, and send them to the display terminal via the server. Environmental factors include average light variation and environmental carbon-oxygen ratio, while growth status factors include microalgae leaf area and cell lipid content.

[0011] The pretreatment unit is used to collect water quality influencing factors and analyze the changes in water quality component consumption. It obtains replacement signals and sends them to the display terminal via the server. The quality influencing factors include the nutrient loss rate, carbon dioxide consumption rate, and water quality pH change rate.

[0012] The environmental analysis unit is used to collect external and internal environmental factors for microalgae growth, and to perform environmental analysis on these factors to obtain the internal factor coefficient N and external factor coefficient W, which are then sent to the pollution control unit. The external environmental factors include the number of air temperature and humidity anomalies and the increase value of harmful organisms in the water. The internal environmental factors include the turbidity value of the microalgae water and the temperature fluctuation value of the microalgae water.

[0013] When the pollution control unit receives the internal factor coefficient N and the external factor coefficient W, it analyzes them to obtain the light pollution signal and the heavy pollution signal, and sends the light pollution signal and the heavy pollution signal to the display terminal via the server.

[0014] Upon receiving a control signal, the display terminal immediately displays the text "Environmental Abnormality". Upon receiving a replacement signal, it displays the text "Replace". Upon receiving light pollution and heavy pollution signals, the display terminal generates corresponding text warnings: "Light Pollution Warning" for light pollution signals and "Heavy Pollution Warning" for heavy pollution signals. At the same time, a time display is generated, meaning the timer starts as soon as the text is displayed.

[0015] Preferably, the environmental factor analysis steps for microalgae within the growth state control and analysis unit are as follows:

[0016] Step 1: Set a historical day as the first time threshold, obtain the total illumination duration of microalgae within the first time threshold, and record the maximum and minimum light intensity values ​​within the total duration. Record the time corresponding to the maximum and minimum values ​​respectively, calculate the time difference between the two values, and obtain the average light intensity variation value by dividing the difference between the maximum and minimum light intensity values ​​by the two durations, denoted as PGz. Record the maximum carbon and oxygen values ​​of the environment before microalgae cultivation within the total illumination duration, obtain the maximum carbon and oxygen values ​​of the environment after microalgae cultivation within the total illumination duration, calculate the difference between the maximum carbon values ​​before and after, calculate the difference between the maximum oxygen values ​​before and after, and calculate the ratio between the two to obtain the environmental carbon and oxygen change ratio, denoted as CYb.

[0017] Step 2: Obtain the environmental coefficient Ho using the formula.

[0018] Preferably, the growth state factor analysis steps for microalgae within the growth state control and analysis unit are as follows:

[0019] Step 1: Label the total number of microalgal cells in a culture tank as S. Obtain the cell division number of each microalgal within the first time threshold. Construct a time-cell division number change curve for each microalga. Label the microalgae corresponding to the curve that continuously rises in the time-cell division number change curve as normal microalgae Z. Label the microalgae corresponding to other curves as abnormal microalgae. Collect the cellular lipid content in the abnormal microalgae and construct a time-cellular lipid content change curve for each microalgae. Relabel the microalgae corresponding to the curve that continuously rises in the time-cellular lipid content change curve as normal microalgae Z1. Relabel the microalgae corresponding to other curves as excluded microalgae. Calculate: The growth coefficient So was obtained;

[0020] Step 2: Calculate the growth state coefficient Yo from the environmental coefficient Ho and the growth coefficient So. Yo is equal to the environmental coefficient Ho multiplied by the growth coefficient So. Then, compare and analyze the growth state coefficient Yo with the preset growth state coefficient.

[0021] If the growth state coefficient Yo is greater than or equal to the preset growth state coefficient, the microalgae water quality is determined to be normal and no signal is generated; if the growth state coefficient Yo is less than the preset growth state coefficient, the microalgae water quality is determined to be extremely poor and a control signal is generated.

[0022] Preferably, the water quality analysis steps within the pretreatment unit are as follows:

[0023] S1: Set one week of history as the second time threshold. Construct a rectangular coordinate system with the second time threshold as the X-axis and nutrients, carbon dioxide, and water pH as the Y-axis. Record the daily values ​​of nutrients, carbon dioxide, and water pH within the second time threshold and plot the change curves of nutrients, carbon dioxide, and water pH. At the same time, record the curves of nutrients, carbon dioxide, and water pH in water without microalgae cultivation within the second time threshold. By calculating the change curves of nutrients, carbon dioxide, and water pH in water with and without microalgae cultivation within the second time threshold, the loss rate of nutrients, the consumption rate of carbon dioxide, and the change rate of water pH within the second time threshold are obtained and labeled as YSz, CSz, and SJz, respectively.

[0024] S2: Obtain the water quality coefficient Sz using the formula, and compare and analyze the water quality coefficient Sz with the preset water quality coefficient;

[0025] If the water quality coefficient Sz ≥ the preset water quality coefficient, the water quality is determined to be poor, and a replacement signal is generated.

[0026] If the water quality coefficient Sz is less than the preset water quality coefficient, the water quality is determined to be normal and no signal is generated.

[0027] Preferably, the steps for analyzing the external environmental quality of the environmental analysis unit are as follows:

[0028] SS1: Obtain the maximum and minimum temperature values ​​in the microalgae growth environment at each hour within the first time threshold, and simultaneously obtain the maximum and minimum humidity values ​​in the microalgae growth environment at each hour within the first time threshold. Calculate the differences between the maximum and minimum temperature values ​​and the maximum and minimum humidity values, and then obtain the temperature-humidity ratio at each hour by dividing the temperature difference by the humidity difference. Construct a time-temperature-humidity ratio rectangular coordinate system within the first time threshold, with time as the X-axis and temperature-humidity ratio as the Y-axis, labeled as the WS curve. Simultaneously, construct a time-temperature-humidity ratio rectangular coordinate system for the normal microalgae growth environment, labeled as the WS1 curve. Record points in the two curves where the temperature-humidity ratio difference at the same moment is greater than or equal to 1, and mark them as outlier points. Obtain the number of outlier points within the first time threshold, labeled as the air temperature and humidity anomaly number, and labeled as WSb.

[0029] SS2: Obtain the initial and final actual volumes of microalgae in the water within the first time threshold, and simultaneously obtain the volume of harmful organisms in the water. Divide the volume of harmful organisms in the water by the initial and actual volumes of the water to obtain the corresponding percentage values. Then, obtain the difference between the two to obtain the increase value of harmful organisms in the water, and label it as SHb. Obtain the external factor coefficient W through the formula.

[0030] Preferably, the environmental analysis steps within the environmental analysis unit are as follows:

[0031] Obtain the hourly water turbidity value within the first time threshold, construct a time-turbidity value line graph, and construct a normal water quality time-turbidity value line graph within the first time threshold. Obtain the turbidity value corresponding to each moment of the two line graphs within the first time threshold, calculate the difference between the two line graphs, compare the difference with the preset interval, record the comparison result, and record the number of times it is outside the preset interval, which is marked as the water turbidity value, labeled as SZh; obtain the hourly water temperature value within the first time threshold, construct a set of water temperature values ​​within the first time threshold, obtain the maximum and minimum subsets in the water temperature value set, calculate the difference between the maximum and minimum subsets, and set it as the microalgae water temperature amplitude value, labeled as HCh; obtain the intrinsic coefficient N using the formula.

[0032] Preferably, the specific analysis steps for the pollution control unit are as follows:

[0033] According to the formula The pollution coefficient WR is obtained, and the pollution coefficient WR is compared and analyzed with the preset pollution range;

[0034] If the pollution coefficient WR is less than the minimum value of the preset pollution range, then the microalgae are determined to be unpolluted and do not generate any signal.

[0035] If the pollution coefficient WR is within the preset pollution range, the microalgae are determined to be slightly polluted, and a slightly polluted signal is generated.

[0036] If the pollution coefficient WR is greater than the maximum value of the preset pollution range, then the microalgae are determined to be severely polluted, and a severe pollution signal is generated.

[0037] The beneficial effects of this invention are as follows:

[0038] In this invention, in-depth analysis of microalgae based on collected environmental and growth status factors facilitates the monitoring of water quality. Formulated analysis displays the message "Environmental Anomaly," enabling workers to promptly adjust the growing environment and further improve microalgae survival and yield. Furthermore, the pretreatment unit collects water quality influencing factors and analyzes changes in water component consumption, allowing for timely replacement of the growing water, improving microalgae cultivation quality and enhancing the normal growth environment. Formulated and hierarchical analysis allows for timely addition of appropriate drug dosages based on water pollution levels, with timely warnings displayed via timer. The prominent text clearly reflects the water quality, facilitating timely adjustments, improving microalgae cultivation quality, reducing risks, and minimizing economic losses. Attached Figure Description

[0039] The invention will now be further described with reference to the accompanying drawings;

[0040] Figure 1 This is a schematic diagram of the structure of the present invention. Detailed Implementation

[0041] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0042] Example 1:

[0043] Please see Figure 1 As shown, the present invention is a fully automatic intelligent microalgae cultivation system, including a server, a growth status control and analysis unit, a pretreatment unit, an environmental analysis unit, a pollution control unit, and a display terminal. The server is bidirectionally connected to the growth status control and analysis unit, the server is bidirectionally connected to the pretreatment unit, the server is bidirectionally connected to the display terminal, the server is bidirectionally connected to the environmental analysis unit, and the environmental analysis unit is bidirectionally connected to the pollution control unit.

[0044] The growth status control and analysis unit is used to collect and analyze environmental and growth status factors of microalgae. Environmental factors include average light intensity variation and the carbon-oxygen ratio, while growth status factors include leaf area and cell lipid content. The specific steps for analyzing microalgae environmental factors are as follows:

[0045] Set one historical day as the first time threshold, mark the number of all microalgal cells in a culture pond as S, and obtain the average light change value of microalgae and the environmental carbon-oxygen change ratio within the first time threshold.

[0046] Specifically, the total illumination duration of microalgae within the first time threshold is obtained, and the maximum and minimum light intensity values ​​within the total duration are recorded. The times corresponding to the maximum and minimum values ​​are also recorded, and the duration difference between the two values ​​is calculated. The average light intensity variation value, denoted as PGz, is obtained by dividing the difference between the maximum and minimum light intensity values ​​by the duration of the two values. The maximum carbon and oxygen values ​​of the environment before microalgae cultivation are recorded within the total illumination duration, and the maximum carbon and oxygen values ​​of the environment after microalgae cultivation are obtained. The difference between the maximum carbon values ​​before and after cultivation is calculated, and the ratio between the two is calculated to obtain the environmental carbon and oxygen change ratio, denoted as CYb.

[0047] Through the formula:

[0048] Where a>b>0, a+b<1, a and b are correction factors for the average light intensity variation and the environmental carbon-oxygen variation ratio, respectively, and Ho is the environmental coefficient;

[0049] The specific steps for analyzing growth state factors are as follows:

[0050] The cell division count of each microalga within the first time threshold was obtained, and a time-cell division count change curve was constructed for each microalga. Microalgae corresponding to the continuously rising time-cell division count change curve were labeled as normal microalgae (Z), and those corresponding to other curves were labeled as abnormal microalgae. The cellular lipid content of abnormal microalgae was collected, and a time-cellular lipid content change curve was constructed for each microalga. Microalgae corresponding to the continuously rising time-cellular lipid content change curve were relabeled as normal microalgae (Z1), and those corresponding to other curves were relabeled as excluded microalgae. Calculations were then performed. The growth coefficient So was obtained;

[0051] The growth state coefficient Yo is obtained by calculating the environmental coefficient Ho and the growth coefficient So. Yo is equal to the environmental coefficient Ho multiplied by the growth coefficient So. The growth state coefficient Yo is then compared and analyzed with the preset growth state coefficient.

[0052] If the growth state coefficient Yo is greater than or equal to the preset growth state coefficient, the microalgae water quality is determined to be normal, and no signal is generated. If the growth state coefficient Yo is less than the preset growth state coefficient, the microalgae water quality is determined to be extremely poor, a control signal is generated, and the control signal is sent to the server. After receiving the control signal, the server sends the control signal to the display terminal. After receiving the control signal, the display terminal immediately displays the text "Environmental Abnormality," which helps workers to adjust the location environment in a timely manner, further improving the survival rate and yield of microalgae.

[0053] Example 2:

[0054] The pretreatment unit is used to collect factors affecting water quality and analyze changes in the consumption of water components; the specific analysis steps are as follows:

[0055] Set one week of historical data as the second time threshold; quality influencing factors include the rate of nutrient loss, the rate of carbon dioxide consumption, and the rate of change in water pH.

[0056] A rectangular coordinate system was constructed with the second time threshold as the X-axis and nutrients, carbon dioxide, and water pH as the Y-axis. The daily values ​​of nutrients, carbon dioxide, and water pH within the second time threshold were recorded, and curves showing the changes in nutrients, carbon dioxide, and water pH were plotted. At the same time, curves showing the changes in nutrients, carbon dioxide, and water pH in water without microalgae cultivation within the second time threshold were also recorded. By calculating the change rates of nutrients, carbon dioxide, and water pH in water with and without microalgae cultivation within the second time threshold, the nutrient loss rate, carbon dioxide consumption rate, and water pH change rate were obtained, and labeled as YSz, CSz, and SJz, respectively.

[0057] The higher the rate of nutrient loss in the water, the worse the water quality becomes. The carbon dioxide consumption rate reflects the photosynthetic efficiency of microalgae. The more carbon dioxide consumed, the more oxygen produced, and the better the photosynthesis. The greater the rate of change in water pH, the greater the impact on microalgae cultivation, and vice versa.

[0058] Through formula

[0059] Where f1>f2>f3>0, f1+f2+f3=1.236, f1, f2 and f3 are correction factors for the nutrient loss rate, carbon dioxide consumption rate and water quality pH change rate, respectively, and Sz is the water quality coefficient. The water quality coefficient Sz is compared and analyzed with the preset water quality coefficient.

[0060] If the water quality coefficient Sz is greater than or equal to the preset water quality coefficient, the water quality is determined to be poor, a replacement signal is generated, and the replacement signal is sent to the server. After receiving the replacement signal, the server sends it to the display terminal. After receiving the replacement signal, the display terminal displays the text "Replace". This helps to change the water quality for microalgae growth in a timely manner, improve the quality of microalgae cultivation, promote the normal growth of microalgae, and increase microalgae yield.

[0061] If the water quality coefficient Sz is less than the preset water quality coefficient, the water quality is determined to be normal and no signal is generated.

[0062] Example 3:

[0063] The environmental analysis unit is used to collect external and internal environmental factors for microalgae growth, and to perform environmental analysis on these factors. External environmental factors include air temperature and humidity anomalies and the increase in predatory organisms in the water. Internal environmental factors include water turbidity and water temperature fluctuations. The steps for external environmental quality analysis are as follows:

[0064] The maximum and minimum temperature values ​​in the microalgae growth environment at each hour within the first time threshold are obtained, as well as the maximum and minimum humidity values ​​at each hour within the first time threshold. The differences between the maximum and minimum temperature values ​​and the maximum and minimum humidity values ​​are calculated respectively. The temperature-humidity ratio at each hour is obtained by dividing the temperature difference by the humidity difference. A time-temperature-humidity ratio rectangular coordinate system is constructed within the first time threshold, with time as the X-axis and temperature-humidity ratio as the Y-axis, and labeled as the WS curve. At the same time, a time-temperature-humidity ratio rectangular coordinate system for the normal microalgae growth environment is constructed and labeled as the WS1 curve. Points in the two curves where the temperature-humidity ratio difference at the same moment is greater than or equal to 1 are recorded and labeled as abnormal points. The number of abnormal points within the first time threshold is obtained and labeled as the number of air temperature and humidity anomalies, labeled as WSb.

[0065] The initial and final actual volumes of microalgae in the water within the first time threshold are obtained, along with the volume of harmful organisms in the water. The volume of harmful organisms in the water is divided by the initial and actual volumes of the water to obtain the corresponding percentage values. The difference between the two is then used to obtain the increase value of harmful organisms in the water, which is marked as SHb.

[0066] The formula W = (αWSb + βSHb) 3 Where α and β are correction factors for the increase in air temperature and humidity anomalies and the increase in harmful organisms in water, respectively, α>β>0, α+β>1, W is the external factor coefficient, and the external factor coefficient W is sent to the pollution control unit.

[0067] The steps for analyzing internal environmental quality are as follows:

[0068] Obtain the hourly water turbidity value within the first time threshold, construct a time-turbidity value line graph, construct a normal water quality time-turbidity value line graph within the first time threshold, obtain the turbidity value corresponding to each moment of the two line graphs within the first time threshold, calculate the difference between the two line graphs, compare the difference with the preset interval, record the comparison result, and record the number of times it is not in the preset interval, which is marked as the water turbidity value, labeled as SZh; obtain the hourly water temperature value within the first time threshold, construct a set of water temperature values ​​within the first time threshold, obtain the maximum and minimum subsets in the water temperature value set, calculate the difference between the maximum and minimum subsets, and set it as the microalgae water temperature amplitude value, labeled as HCh;

[0069] Through the formula:

[0070] Where ε and γ are correction factors for the pH range of microalgae water quality and the dust area ratio of microalgae surface, respectively, ε>γ>0, ε+γ>1, N is the intrinsic coefficient, and the intrinsic coefficient N is sent to the pollution control unit.

[0071] When the pollution control unit receives the intrinsic coefficient N and extrinsic coefficient W, it uses the formula: The pollution coefficient WR is obtained, and the pollution coefficient WR is compared and analyzed with the preset pollution range;

[0072] If the pollution coefficient WR is less than the minimum value of the preset pollution range, then the microalgae are determined to be unpolluted and do not generate any signal.

[0073] If the pollution coefficient WR is within the preset pollution range, the microalgae are determined to be slightly polluted, a slightly polluted signal is generated, and sent to the server;

[0074] If the pollution coefficient WR > the maximum value of the preset pollution range, the microalgae are determined to be severely polluted, a severe pollution signal is generated, and sent to the server.

[0075] After receiving light pollution and heavy pollution signals, the server sends them to the display terminal. Upon receiving these signals, the display terminal generates corresponding text warnings: "Light Pollution Warning" for light pollution and "Heavy Pollution Warning" for heavy pollution. Simultaneously, a time display is generated, meaning the timer starts as soon as the text is displayed. This helps in adjusting the dosage of chemicals based on the water pollution level. The prominent text clearly reflects the water quality, facilitating timely adjustments, improving the quality of microalgae cultivation, reducing risks, and minimizing economic losses.

[0076] In summary, collecting environmental and growth status factors of microalgae for in-depth analysis helps in the monitoring of water quality. Formulated analysis allows the display terminal to show the text "Environmental Anomaly," enabling workers to adjust the environment in a timely manner, further improving the survival rate and yield of microalgae. Furthermore, collecting water quality influencing factors through the pretreatment unit and analyzing changes in water component consumption facilitates timely replacement of the water quality for microalgae growth, improving the quality of microalgae cultivation and further enhancing the normal growth environment. Formulated and hierarchical analysis allows for timely addition of appropriate drug dosages based on the degree of water pollution, with timely warnings displayed via timers. In addition, prominent text clearly reflects the water quality status, facilitating timely adjustments, improving the quality of microalgae cultivation, reducing cultivation risks, and minimizing economic losses.

[0077] The above formulas are all derived from software simulation using a large amount of data and are selected to be close to the actual values. The coefficients in the formulas are set by those skilled in the art according to the actual situation. The above description is only a preferred embodiment of the present invention, but the protection scope of the present invention is not limited thereto. Any equivalent substitutions or changes made by those skilled in the art within the technical scope disclosed in the present invention, based on the technical solution and inventive concept of the present invention, should be covered within the protection scope of the present invention.

Claims

1. A fully automated intelligent microalgae cultivation system, characterized in that, It includes a server, a growth status control and analysis unit, a pretreatment unit, an environmental analysis unit, a pollution control unit, and a display terminal; The server has a two-way communication connection with the growth status control and analysis unit, a two-way communication connection with the pretreatment unit, a two-way communication connection with the display terminal, a two-way communication connection with the environmental analysis unit, and a two-way communication connection with the pollution control unit. The growth status control and analysis unit is used to collect microalgal environmental factors and growth status factors, analyze the microalgal environmental factors and growth status factors, obtain control signals, and send them to the display terminal via the server; the microalgal environmental factors include the average light intensity variation value and the environmental carbon-oxygen ratio, and the growth status factors include the microalgal leaf area and cell lipid content. The pretreatment unit is used to collect water quality influencing factors and analyze the changes in water quality component consumption. It obtains replacement signals and sends them to the display terminal via the server. The quality influencing factors include the nutrient loss rate, carbon dioxide consumption rate, and water quality pH change rate. The environmental analysis unit is used to collect external and internal environmental factors of microalgae growth, and to perform environmental analysis on these factors to obtain the internal factor coefficient N and external factor coefficient W, which are then sent to the pollution control unit. The external environmental factors include the number of air temperature and humidity anomalies and the increase value of harmful organisms in the water. The internal environmental factors include the turbidity value of microalgae water and the temperature fluctuation value of microalgae water. When the pollution control unit receives the internal factor coefficient N and the external factor coefficient W, it analyzes them to obtain a light pollution signal or a heavy pollution signal, and then sends the light pollution signal or the heavy pollution signal to the display terminal via the server. Upon receiving a control signal, the display terminal immediately displays the text "Environmental Abnormality". Upon receiving a replacement signal, it displays the text "Replace". Upon receiving a light pollution signal or a heavy pollution signal, it generates a corresponding text warning: "Light Pollution Warning" for light pollution signals and "Heavy Pollution Warning" for heavy pollution signals. At the same time, it generates a time display, meaning the timer starts as soon as the text is displayed.

2. The fully automated intelligent microalgae cultivation system according to claim 1, characterized in that, The specific microalgal environmental factor analysis steps of the growth status control and analysis unit are as follows: Step 1: Set a historical day as the first time threshold, obtain the total illumination duration of microalgae within the first time threshold, and record the maximum and minimum light intensity values ​​within the total duration. Record the time corresponding to the maximum and minimum values ​​respectively, calculate the time difference between the two values, and obtain the average light intensity variation value by dividing the difference between the maximum and minimum light intensity values ​​by the two durations, denoted as PGz. Record the maximum carbon and oxygen values ​​of the environment before microalgae cultivation within the total illumination duration, obtain the maximum carbon and oxygen values ​​of the environment after microalgae cultivation within the total illumination duration, calculate the difference between the maximum carbon values ​​before and after, calculate the difference between the maximum oxygen values ​​before and after, and calculate the ratio between the two to obtain the environmental carbon and oxygen change ratio, denoted as CYb. Step Two: Using the formula The environmental coefficient Ho is obtained, where a > b > 0, a + b < 1, and a and b are correction factors for the average light intensity variation and the environmental carbon-oxygen ratio, respectively.

3. The fully automated intelligent microalgae cultivation system according to claim 1, characterized in that, The specific growth state factor analysis steps of the growth state control and analysis unit are as follows: Step 1: Label the total number of microalgal cells in a culture tank as S. Obtain the cell division number of each microalgal within the first time threshold. Construct a time-cell division number change curve for each microalga. Label the microalgae corresponding to the curve that continuously rises in the time-cell division number change curve as normal microalgae Z. Label the microalgae corresponding to other curves as abnormal microalgae. Collect the cellular lipid content in the abnormal microalgae and construct a time-cellular lipid content change curve for each microalgae. Relabel the microalgae corresponding to the curve that continuously rises in the time-cellular lipid content change curve as normal microalgae Z1. Relabel the microalgae corresponding to other curves as excluded microalgae. Calculate: The growth coefficient So is obtained. Step 2: Calculate the growth state coefficient Yo from the environmental coefficient Ho and the growth coefficient So. Yo is equal to the environmental coefficient Ho multiplied by the growth coefficient So. Then, compare and analyze the growth state coefficient Yo with the preset growth state coefficient. If the growth state coefficient Yo is greater than or equal to the preset growth state coefficient, the microalgae water quality is determined to be normal and no signal is generated; if the growth state coefficient Yo is less than the preset growth state coefficient, the microalgae water quality is determined to be extremely poor and a control signal is generated.

4. The fully automated intelligent microalgae cultivation system according to claim 1, characterized in that, The specific water quality analysis steps for the pretreatment unit are as follows: S1: Set one week of history as the second time threshold. Construct a rectangular coordinate system with the second time threshold as the X-axis and nutrients, carbon dioxide, and water pH as the Y-axis. Record the daily values ​​of nutrients, carbon dioxide, and water pH within the second time threshold and plot the change curves of nutrients, carbon dioxide, and water pH. At the same time, record the curves of nutrients, carbon dioxide, and water pH in water without microalgae cultivation within the second time threshold. By calculating the change curves of nutrients, carbon dioxide, and water pH in water with and without microalgae cultivation within the second time threshold, the loss rate of nutrients, the consumption rate of carbon dioxide, and the change rate of water pH within the second time threshold are obtained and labeled as YSz, CSz, and SJz, respectively. S2: According to the formula The water quality coefficient Sz is obtained, where f1>f2>f3>0, f1+f2+f3=1.236, f1, f2 and f3 are correction factors for the nutrient loss rate, carbon dioxide consumption rate and water pH change rate, respectively. The water quality coefficient Sz is then compared and analyzed with the preset water quality coefficient. If the water quality coefficient Sz ≥ the preset water quality coefficient, the water quality is determined to be poor, and a replacement signal is generated. If the water quality coefficient Sz is less than the preset water quality coefficient, the water quality is determined to be normal and no signal is generated.

5. The fully automated intelligent microalgae cultivation system according to claim 1, characterized in that, The steps for analyzing the external environmental quality of the environmental analysis unit are as follows: SS1: Obtain the maximum and minimum temperature values ​​in the microalgae growth environment at each hour within the first time threshold, and simultaneously obtain the maximum and minimum humidity values ​​in the microalgae growth environment at each hour within the first time threshold. Calculate the differences between the maximum and minimum temperature values ​​and the maximum and minimum humidity values, and then obtain the temperature-humidity ratio at each hour by dividing the temperature difference by the humidity difference. Construct a time-temperature-humidity ratio rectangular coordinate system within the first time threshold, with time as the X-axis and temperature-humidity ratio as the Y-axis, labeled as the WS curve. Simultaneously, construct a time-temperature-humidity ratio rectangular coordinate system for the normal microalgae growth environment, labeled as the WS1 curve. Record points in the two curves where the temperature-humidity ratio difference at the same moment is greater than or equal to 1, and mark them as outlier points. Obtain the number of outlier points within the first time threshold, labeled as the air temperature and humidity anomaly number, and labeled as WSb. SS2: Obtain the initial and final actual volumes of microalgae in the water within the first time threshold, and simultaneously obtain the volume of predatory organisms in the water. Divide the volume of predatory organisms in the water by the initial and actual water volumes to obtain the corresponding percentage values. Then, obtain the difference between the two to obtain the increase value of predatory organisms in the water, and label it as SHb; [The text then abruptly shifts to a different topic:] ...using the formula... The external factor coefficient W was obtained, and α and β were correction factors for the increase in air temperature and humidity anomalies and the increase in water-based pests, respectively, with α > β > 0 and α + β > 1.

6. The fully automated intelligent microalgae cultivation system according to claim 1, characterized in that, The steps for environmental quality analysis within the environmental analysis unit are as follows: Obtain the hourly water turbidity value within the first time threshold, construct a time-turbidity value line graph, construct a normal water quality time-turbidity value line graph within the first time threshold, obtain the turbidity value corresponding to each moment of the two line graphs within the first time threshold, calculate the difference between the two line graphs, compare the difference with the preset interval, record the comparison result, and record the number of times it is not in the preset interval, which is marked as the water turbidity value, labeled as SZh; obtain the hourly water temperature value within the first time threshold, construct a set of water temperature values ​​within the first time threshold, obtain the maximum and minimum subsets in the water temperature value set, calculate the difference between the maximum and minimum subsets, and set it as the microalgae water temperature amplitude value, labeled as HCh; According to the formula The intrinsic coefficient N is obtained, where ε and γ are correction factors for the pH range of microalgae water quality and the dust area ratio on the microalgae surface, respectively, ε>γ>0, ε+γ>1.

7. The fully automated intelligent microalgae cultivation system according to claim 1, characterized in that, The specific analysis steps for the pollution control unit are as follows: According to the formula The pollution coefficient WR was obtained, and the pollution coefficient WR was compared and analyzed with the preset pollution range. If the pollution coefficient WR is less than the minimum value of the preset pollution range, then the microalgae are determined to be unpolluted and do not generate any signal. If the pollution coefficient WR is within the preset pollution range, the microalgae are determined to be slightly polluted, and a slightly polluted signal is generated. If the pollution coefficient WR is greater than the maximum value of the preset pollution range, then the microalgae are determined to be severely polluted, and a severe pollution signal is generated.

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