Energy-saving recirculating aquaculture device and control method

Abstract

The invention discloses an energy-saving type recirculating aquaculture device and a control method, and relates to the technical field of aquaculture, the recirculating aquaculture device comprises a sensor network module, a safety evaluation module, a load reduction decision module and an equipment control module, and the recirculating aquaculture device further comprises a circulating pump, an aerator and temperature control equipment; according to the method, a multi-parameter comprehensive safety assessment system is established, key water quality indexes such as dissolved oxygen and water temperature are considered, multi-dimensional factors such as pH value, ammonia nitrogen concentration, culture density and growth stage are incorporated, and indexes with large deviation degree are highlighted through a dynamic weight mechanism, so that safety assessment is more comprehensive and accurate.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of aquaculture, more particularly to an energy-saving type of recirculating aquaculture device and control method. BACKGROUND

[0002] As an important form of modern aquaculture, the recirculating aquaculture system realizes the recycling of aquaculture water through water treatment equipment, and has the advantages of water saving, environmental protection, and strong controllability. However, the key equipment such as the circulating pump, oxygenator and temperature control equipment in the recirculating aquaculture device needs to be continuously operated, resulting in high energy consumption cost, especially during the peak period of electricity price, the electricity cost increases significantly.

[0003] At present, the traditional recirculating aquaculture device generally adopts a constant power operation mode, and the device power is often set based on the maximum load demand, without fully considering the actual demand difference at different times. Although some farms try to reduce the device operating power during the peak period of electricity price to save electricity cost, due to the lack of scientific safety evaluation system and fine reduction load control strategy, it is easy to cause serious consequences such as water quality parameter exceeding standard, stress and even death of the cultured organisms.

[0004] The existing technology has the following problems: lack of comprehensive safety evaluation mechanism, unable to accurately evaluate the safety margin of the reduction load operation, leading to blind reduction load or excessive conservation; the cumulative effect of reduction load duration on system risk is not considered, and long-term reduction load may cause hidden safety hazards; the reduction load decision is too simple and extensive, and cannot develop differentiated reduction load strategies according to the energy saving benefits and risk characteristics of different devices; lack of dynamic adjustment mechanism, unable to optimize control parameters in real time according to environmental changes and growth stages.

[0005] Therefore, it is urgent to develop an intelligent control method that can effectively reduce energy consumption cost and ensure the safety of aquaculture. SUMMARY

[0006] The purpose of the present application is to provide an energy-saving type of recirculating aquaculture device and control method, which aims to solve the technical problems of high energy consumption of the recirculating aquaculture device, lack of scientific basis for reduction load control, and difficulty in ensuring safety in the prior art.

[0007] The present application discloses a control method for an energy-saving type of recirculating aquaculture device, applied to a recirculating aquaculture device, the recirculating aquaculture device comprising a sensor network module, a safety evaluation module, a reduction load decision module and a device control module, the recirculating aquaculture device further comprising a circulating pump, an oxygenator and a temperature control device, the method comprising the following steps:

[0008] S1: Real-time monitoring of the recirculating aquaculture system by the sensor network module to obtain water quality parameters, biological parameters, environmental parameters, and equipment state data; the water quality parameters at least include dissolved oxygen concentration, water temperature, and other water quality indicators;

[0009] S2: Based on the above real-time collected data, the safety evaluation module is used to calculate the dissolved oxygen safety margin, the water temperature safety margin, and the safety margin of other water quality indicators; the three types of safety margins are weighted according to the preset weight to obtain a comprehensive safety margin; a time sequence cumulative risk factor is introduced to correct the comprehensive safety margin to obtain a corrected safety margin; wherein the time sequence cumulative risk factor gradually increases with the increase of the load shedding duration, and is used to represent the cumulative effect of system risk;

[0010] S3: Determine whether it is currently in a peak electricity price period;

[0011] If it is in the peak electricity price period, according to the numerical interval of the corrected safety margin, the load shedding decision module is used to determine the corresponding load shedding level, and each load shedding level corresponds to a group of target operating power of the circulating pump, the oxygenator, and the temperature control equipment;

[0012] If it is not in the peak electricity price period, maintain the normal operating power of the circulating pump, the oxygenator, and the temperature control equipment;

[0013] S4: After determining the load shedding level, calculate the load shedding priority of the circulating pump, the oxygenator, and the temperature control equipment, respectively, and the load shedding priority is determined based on the ratio of energy saving benefit to risk increment. According to the order of the load shedding priority, the operating power of each device is adjusted to the target operating power in sequence through the device control module to realize the corresponding load shedding level;

[0014] S5: During the load shedding execution, the changes of water quality parameters, biological parameters, and environmental parameters are continuously monitored, and when the monitoring results meet the preset recovery trigger condition, the operating power of the circulating pump, the oxygenator, and the temperature control equipment is restored to the normal operating level through the device control module, and the load shedding state is ended.

[0015] Further, the parameters collected by the sensor network module in real time specifically include:

[0016] The other water quality parameters include pH value and ammonia nitrogen concentration; the biological parameters include stocking density and growth stage; the environmental parameters include external temperature and solar radiation intensity; and the equipment state data includes the current operating power and operating time of the circulating pump, the oxygenator, and the temperature control equipment.

[0017] Further, the step of calculating the dissolved oxygen safety margin, the water temperature safety margin, and the safety margin of other water quality indicators by the safety evaluation module specifically includes:

[0018] obtaining a measured dissolved oxygen concentration of the current time aquaculture water, obtaining a current water temperature, obtaining a current pH value and ammonia nitrogen concentration,

[0019] According to the variety of cultured fish, the growth stage, the breeding density and the water temperature, the critical dissolved oxygen concentration DO critical and the safe dissolved oxygen concentration DO safe are obtained from the pre-established dissolved oxygen demand database, and the safe margin M D of dissolved oxygen is calculated.

[0020] Further, the step of obtaining the comprehensive safety margin by weighting calculation according to the preset weight coefficient specifically includes:

[0021] obtaining the current calculation value of the current dissolved oxygen safety margin M DO , the water temperature safety margin M T and the other water quality index safety margin M WQ ;

[0022] According to the difference between the current value and the historical average value, the deviation of the dissolved oxygen safety margin M DO , the water temperature safety margin M T and the other water quality index safety margin M WQ is calculated, which is used to represent the gap between each index and its historical average state; based on the calculated deviation, the weight coefficient of each index is dynamically determined, wherein the index with larger deviation corresponds to higher weight coefficient; and the comprehensive safety margin M total is obtained.

[0023] Further, the step of introducing the time sequence cumulative risk factor to modify the comprehensive safety margin specifically includes:

[0024] According to the cumulative load shedding duration t reduced from the beginning of this load shedding to the current time, wherein t reduced is the cumulative load shedding duration; τ is a time constant, and its value is negatively related to the current load shedding level depth; according to the comprehensive safety margin M total and the calculated time sequence cumulative risk factor R time .

[0025] Further, the step of determining the load shedding level according to the numerical interval of the modified safety margin specifically includes: five load shedding levels L0, L1, L2, L3 and L4 are preset, and a corresponding modified safety margin numerical interval is set for each load shedding level; according to the load shedding levels L0 to L4, the target running power of the circulating pump, the oxygenator and the temperature control device is set respectively.

[0026] Further, the step of calculating the load shedding priority and adjusting the running power in priority order specifically comprises:

[0027] The rated power, current power and target power of each device are acquired; the energy saving benefit and energy saving benefit coefficient of the device are calculated; the historical load shedding risk of the device is counted and the risk increment coefficient is calculated; the load shedding priority of the device is calculated and sorted; and the running power of the device is adjusted according to the priority, gradually reduced to the target power and the system stability is monitored.

[0028] Further, the preset recovery trigger condition includes the following four cases:

[0029] The hard threshold trigger condition is that any of the water quality parameters reaches or exceeds a preset critical threshold; the change rate trigger condition is that the change rate of any of the water quality parameters exceeds a preset safe change rate limit; the time trigger condition is that the cumulative load shedding duration exceeds a preset maximum safe time limit; and the biological behavior trigger condition is that the farmed fish shows stress behavior.

[0030] 9. The control method according to claim 1, further comprising the step of dynamically adjusting the control strategy according to environmental parameter changes and growth stages.

[0031] The external temperature and solar radiation intensity are monitored in real time; when it is detected that the solar radiation intensity significantly increases or the external temperature rapidly rises, the minimum running power of the temperature control device is appropriately increased, and the value of the water temperature weight coefficient is also increased; when it is detected that the solar radiation intensity decreases or the external temperature decreases, the target running power of the temperature control device at each load shedding level is decreased.

[0032] An energy-saving type recirculating aquaculture device, the recirculating aquaculture device comprising:

[0033] A sensor network module for monitoring water quality parameters, biological parameters, environmental parameters and device state data of the recirculating aquaculture device in real time;

[0034] A safety evaluation module for calculating dissolved oxygen safety margin, water temperature safety margin and other water quality index safety margin based on the real-time collected data, and performing weighted processing on the safety margins according to a preset weight to obtain a comprehensive safety margin; introducing a time sequence cumulative risk factor to correct the comprehensive safety margin to obtain a corrected safety margin;

[0035] A load shedding decision module for determining a corresponding load shedding level according to the value range of the corrected safety margin during a high electricity price period, each load shedding level corresponding to a group of target running powers of the circulating pump, the oxygenator and the temperature control device, and maintaining the normal running power of the devices if it is not a high electricity price period;

[0036] The device control module is used for adjusting the operation power of each device to the target operation power in sequence to realize the corresponding load shedding level according to the load shedding priority during the load shedding execution, and restoring the operation power of the device to the normal operation level when the monitoring result meets the preset recovery trigger condition.

[0037] The circulating pump, the oxygenator and the temperature control device are key devices of the recirculating aquaculture system, and are responsible for water circulation, oxygenation and temperature control.

[0038] Compared with the prior art, the application has the beneficial effects that:

[0039] The application establishes a multi-parameter comprehensive safety evaluation system, considers not only key water quality indexes such as dissolved oxygen and water temperature, but also multi-dimensional factors such as pH value, ammonia nitrogen concentration, breeding density and growth stage, and highlights indexes with large deviation degrees through a dynamic weight mechanism, so that the safety evaluation is more comprehensive and accurate. On this basis, a time sequence cumulative risk factor is introduced, which effectively quantifies the cumulative effect of the duration of load shedding on system risk, and avoids sudden breeding accidents that may be caused by long-time load shedding. This multi-level safety protection mechanism ensures that energy-saving load shedding is implemented during the peak period of electricity price, while maintaining the safety of breeding within a controllable range.

[0040] The application implements precise load shedding during the peak period of electricity price, and adjusts the operation power of the device flexibly according to the real-time safety margin through the fine control of the five-level load shedding level, which can reduce the power consumption by 20%-40% compared with the traditional full-power operation mode during the peak period of electricity price. At the same time, the device load shedding priority is determined by calculating the ratio of energy-saving benefit to risk increment, and the device with high energy-saving benefit and small risk increment is adjusted preferentially, so that the maximization of energy-saving effect is realized. In practical application, the application can reduce the annual power cost of the recirculating aquaculture system by 15%-25%, and significantly improves the economic benefit of the breeding enterprise.

[0041] The application has strong environmental adaptability, can dynamically adjust the operation strategy of the temperature control device and the water temperature weight coefficient according to the changes of external temperature and solar radiation intensity, so that the control strategy is matched with the real-time environmental conditions. Through the dynamic weight mechanism, the system can automatically identify the most vulnerable water quality link and give priority attention. This intelligent adaptive control reduces the demand for manual intervention and reduces the management difficulty and labor cost.

[0042] The application sets four types of recovery trigger conditions of hard threshold trigger, rate of change trigger, time trigger and biological behavior trigger, and constructs a multi-dimensional risk monitoring network. This multiple safeguard mechanism can quickly respond when the water quality parameters reach the critical value, the change rate is abnormal, the unloading time is too long or the fish appears stress behavior, and timely restore the normal operation of the equipment, effectively preventing the occurrence of breeding accidents. Compared with the traditional method of single threshold trigger, the response of the application is more timely and comprehensive, which greatly reduces the breeding risk.

[0043] The application avoids the dramatic fluctuation of system state by gradually adjusting the equipment power according to the unloading priority order, rather than simultaneously large-scale unloading, which improves the stability of operation. The continuous monitoring and dynamic adjustment mechanism ensures that the system is always in a controllable state, reduces the frequent start-stop and system oscillation of the equipment caused by improper unloading, prolongs the service life of the equipment, and improves the overall reliability of the system.

[0044] Drawings

[0045] Figure 1 The application provides a control method for an energy-saving type recirculating aquaculture device.

[0046] Figure 2 The application provides a control method for an energy-saving type recirculating aquaculture device. DETAILED DESCRIPTION

[0047] The technical solutions of the application will be described below in combination with the embodiments of the application, but the description of these embodiments should not be understood as limiting the scope of protection of the application.

[0048] As shown in the drawings, Figure 1 The application provides a control method for an energy-saving type recirculating aquaculture device, which comprises the following steps:

[0049] S1: Real-time monitoring of the recirculating aquaculture device is performed by a sensor network module to obtain water quality parameters, biological parameters, environmental parameters and equipment state data; the water quality parameters at least include dissolved oxygen concentration, water temperature and other water quality indicators;

[0050] S2: Based on the above real-time collected data, a safety evaluation module is used to calculate the safety margins of dissolved oxygen, water temperature and other water quality indicators respectively; the three types of safety margins are weighted according to the preset weight to obtain a comprehensive safety margin; a time sequence cumulative risk factor is introduced to correct the comprehensive safety margin to obtain a corrected safety margin; wherein the time sequence cumulative risk factor gradually increases with the increase of unloading duration, and is used to represent the cumulative effect of system risk;

[0051] S3: Determine whether the current is in the peak period of electricity price;

[0052] If it belongs to the peak period of electricity price, according to the value interval of the modified safety margin, the corresponding load shedding level is determined by using the load shedding decision module, each load shedding level corresponds to a group of target operating power of the circulating pump, the oxygenator and the temperature control device;

[0053] If it does not belong to the peak period of electricity price, the normal operating power of the circulating pump, the oxygenator and the temperature control device is maintained;

[0054] S4, after determining the load shedding level, the load shedding priority of the circulating pump, the oxygenator and the temperature control device is calculated, the load shedding priority is determined based on the ratio of energy saving benefit and risk increment, and the operating power of each device is adjusted to the target operating power in order through the device control module according to the order of the load shedding priority, so as to realize the corresponding load shedding level;

[0055] S5, during the load shedding execution, the change conditions of the water quality parameters, the biological parameters and the environmental parameters are continuously monitored, when the monitoring results meet the preset recovery trigger condition, the operating power of the circulating pump, the oxygenator and the temperature control device is restored to the normal operating level through the device control module, and the load shedding state is ended.

[0056] As an embodiment of the present application, the parameters collected in real time by the sensor network module specifically include:

[0057] The other water quality parameters include pH value and ammonia nitrogen concentration, the biological parameters include breeding density and growth stage, the environmental parameters include external temperature and solar radiation intensity, and the device state data includes current operating power and operating time of the circulating pump, the oxygenator and the temperature control device.

[0058] As an embodiment of the present application, the step of calculating the dissolved oxygen safety margin, the water temperature safety margin and the safety margin of other water quality indicators by using the safety evaluation module specifically includes:

[0059] The measured dissolved oxygen concentration of the breeding water at the current time is obtained, which is denoted as dissolved oxygen concentration DO current , the current water temperature is obtained, which is denoted as temperature T current , the current pH value and ammonia nitrogen concentration are obtained,

[0060] According to the variety, the growth stage, the breeding density of the breeding fish and the water temperature, the critical dissolved oxygen concentration DO critical and the safe dissolved oxygen concentration DO safe are obtained from the pre-established dissolved oxygen demand database, and the formula M DO =(DO current -DO critical ) / (DO safe -DO criticalThe dissolved oxygen safety margin M was calculated. DO ;

[0061] Determine the optimal and safe temperature ranges based on the species and growth stage of the farmed fish, and judge the current water temperature T. curren The interval in which it is located

[0062] When the current water temperature T current When the water temperature falls within the optimal temperature range, calculate the current water temperature T. current The minimum distance between the water temperature and the upper or lower boundary of the optimal temperature range is used to obtain the water temperature safety margin M. T ,

[0063] When the current water temperature T current When the temperature deviates from the optimal temperature range, calculate the current water temperature T. current Calculate the normalized margin within the specified safe temperature range, and use this normalized margin as the water temperature safety margin M. T ;

[0064] Calculate the safety margins for pH and ammonia nitrogen concentration separately, and select the smaller value from these two safety margins as the safety margin M for other water quality indicators. WQ .

[0065] As an embodiment of this application, the step of obtaining the comprehensive safety margin by weighting according to preset weighting coefficients specifically includes:

[0066] Obtain the current dissolved oxygen safety margin M DO Water temperature safety margin M T Safety margins for other water quality indicators M WQ The current calculated value;

[0067] Calculate the dissolved oxygen safety margin M based on the difference between the current value and the historical average. DO Water temperature safety margin M T Safety margins for other water quality indicators M WQ The deviation is used to characterize the difference between each indicator and its historical average; based on the calculated deviation, the weight coefficient of each indicator is dynamically determined, with indicators with larger deviations corresponding to higher weight coefficients; thus, the comprehensive safety margin M is obtained. total .

[0068] When the dissolved oxygen safety margin M DO When the dissolved oxygen weighting coefficient is less than 0.3, the dissolved oxygen weighting coefficient w DO Set to 0.5-0.6; when the water temperature safety margin M T When it is less than 0.3, the water temperature weighting coefficient w T Set to 0.4-0.5; under normal circumstances, the dissolved oxygen weighting coefficient wDO , the water temperature weight coefficient w T and the other water quality index weight coefficient w WQ are respectively set to 0.4, 0.35 and 0.25, and the sum of the three weight coefficients is equal to 1;

[0069] According to the formula M total = w DO × M DO + w T × M T + w WQ × M WQ , the comprehensive safety margin M total is calculated.

[0070] As an embodiment of the present application, the step of correcting the comprehensive safety margin by the introduced time sequence cumulative risk factor specifically includes:

[0071] According to the cumulative load shedding duration t reduced from the start of this load shedding to the current time, the time sequence cumulative risk factor R time is calculated using the following formula: ;

[0072] wherein t reduced is the cumulative load shedding duration; τ is a time constant, and its value is negatively correlated with the current load shedding level depth;

[0073] According to the comprehensive safety margin M total and the calculated time sequence cumulative risk factor R time , the corrected safety margin M adjusted is calculated using the following formula: ;

[0074] As the cumulative load shedding duration t reduced increases, the time sequence cumulative risk factor R time increases, resulting in the gradual decrease of the corrected safety margin M adjusted .

[0075] As an embodiment of the present application, characterized in that the step of determining the load shedding level according to the numerical interval of the corrected safety margin specifically includes: five load shedding levels L0, L1, L2, L3 and L4 are pre-set, and a corresponding corrected safety margin numerical interval is set for each load shedding level; according to the load shedding levels L0 to L4, target running power is set for the circulating pump, the oxygenator and the temperature control device, respectively;

[0076] According to the calculated corrected safety margin M adjusted , by comparing its value with the pre-set load shedding level numerical interval, the load shedding level L0 to L4 in which the system is located is determined;

[0077] determining the load shedding operation that the system should perform, adjusting the operating state and power output of the corresponding equipment as input;

[0078] According to the determined load shedding level L0 to L4, the target operating power of the circulating pump, the oxygenator, and the temperature control equipment is adjusted respectively to ensure that it operates within the target power range at the corresponding level;

[0079] Perform power adjustment, monitor equipment operating state, and ensure that the equipment works normally at the set power.

[0080] Output the determined load shedding level L0 to L4 and the target operating power of each equipment as the basis for subsequent equipment control and energy efficiency management.

[0081] L0 level (normal operating state): when M adjusted ≥ 0.8, the system is in normal operating state and does not perform load shedding;

[0082] L1 level (light load shedding): when 0.6 ≤ M adjusted < 0.8, the system enters light load shedding state; the target operating power of the circulating pump: 85% to 95% of the rated power; the target operating power of the oxygenator: 90% to 98% of the rated power; the target operating power of the temperature control equipment: 80% to 90% of the rated power;

[0083] L2 level (moderate load shedding): when 0.4 ≤ M adjusted < 0.6, the system enters moderate load shedding state; the target operating power of the circulating pump: 75% to 85% of the rated power; the target operating power of the oxygenator: 85% to 92% of the rated power; the target operating power of the temperature control equipment: 65% to 75% of the rated power;

[0084] L3 level (deep load shedding): when 0.25 ≤ M adjusted < 0.4, the system enters deep load shedding state; the target operating power of the circulating pump: 65% to 75% of the rated power; the target operating power of the oxygenator: 80% to 88% of the rated power; the temperature control equipment: adopts intermittent operation mode;

[0085] L4 level (extreme load shedding): when 0.15 ≤ M adjusted < 0.25, the system enters extreme load shedding state; the target operating power of the circulating pump: 55% to 65% of the rated power; the target operating power of the oxygenator: 75% to 82% of the rated power; the temperature control equipment: stops running.

[0086] As an embodiment of the present application, the step of calculating the load shedding priority and adjusting the operating power in priority order specifically includes:

[0087] S401: For each device i in the circulating pump, the oxygenator and the temperature control device, obtain the rated power P i , the current running power and the target running power;

[0088] S402: Based on the difference between the current running power and the target running power, calculate the power saving value ΔP i of the device i in the load shedding process, and further calculate the energy saving benefit coefficient ΔP i / P i ;

[0089] S403: According to the historical load shedding record of the device i, calculate the descending amplitude of the dissolved oxygen safety margin M DO , the water temperature safety margin M T and other water quality index safety margin M WQ caused by each load shedding process, and perform weighted summation on the descending amplitudes to determine the risk increment coefficient ΔRisk i of the device i;

[0090] S404: Calculate the load shedding priority Priority i of the device i according to the formula Priorityi=(ΔP i / P i ) / ΔRisk i , and sort the circulating pump, the oxygenator and the temperature control device from high to low according to the load shedding priority;

[0091] S405: Start power adjustment control on the device with the highest load shedding priority, gradually reduce the running power of the device to the target running power at an adjustment rate of 5% to 10% per minute, and monitor the system running state until the system running is stable after the power adjustment is completed;

[0092] S406: After the current device power adjustment is completed and the system running is confirmed to be stable, interval 2 to 5 minutes, execute step S405 on the device with the second highest load shedding priority; adjust the running power of the remaining devices in turn according to the load shedding priority sorting, until all the devices that need to be load shed are reduced to the respective target running power.

[0093] As an embodiment of the present application, the preset recovery trigger condition includes the following four types of situations:

[0094] Hard threshold trigger condition: when any of the water quality parameters reaches or exceeds the preset critical threshold value; the critical threshold value includes that the dissolved oxygen concentration is lower than the critical dissolved oxygen concentration DO critical +0.5mg / L, the water temperature exceeds the safe temperature range, the pH value exceeds the safe pH value range or the ammonia nitrogen concentration exceeds the safe ammonia nitrogen concentration;

[0095] Rate of change trigger condition: when the rate of change of any of the water quality parameters exceeds the preset safe rate of change limit; including the rate of decline of the dissolved oxygen concentration exceeds 0.3 mg / L per minute or the rate of rise or fall of the water temperature exceeds 0.5℃ per 10 minutes;

[0096] Time trigger condition: when the cumulative off-load duration exceeds the preset maximum safe time limit; the maximum safe time limit for L1 level is 180 minutes, for L2 level is 90 minutes, for L3 level is 30 minutes, and for L4 level is 15 minutes;

[0097] Biological behavior trigger condition: when the farmed fish exhibits stress behavior; that is, through underwater camera and image recognition algorithm, it is detected that the farmed fish exhibits stress behavior such as floating head, gathering on the water surface, abnormally slow swimming or stationary;

[0098] After starting the recovery process, different recovery modes are selected according to the trigger conditions, the recovery modes including:

[0099] Fast recovery mode: if it is a hard threshold trigger condition or a biological behavior trigger condition, the operating power of the circulating pump, the oxygenator and the temperature control device is increased to 90% of the normal operating power within 1 to 3 minutes, and then to 100% within 5 minutes;

[0100] Standard recovery mode: if it is a rate of change trigger condition or a time trigger condition, the operating power of the circulating pump, the oxygenator and the temperature control device is increased step by step to the normal operating level at a rate of 10% to 15% per minute.

[0101] As an embodiment of the present application, the method further comprises the step of dynamically adjusting the control strategy according to environmental parameter changes and growth stages:

[0102] Real-time monitoring of external temperature and solar radiation intensity; when it is detected that the solar radiation intensity significantly increases or the external temperature rapidly rises, the minimum operating power of the temperature control device is appropriately increased, and at the same time the value of the water temperature weight coefficient is increased; when it is detected that the solar radiation intensity decreases or the external temperature decreases, the target operating power of the temperature control device at each off-load level is decreased;

[0103] Dynamically adjusting the off-load decision parameters according to the current growth stage of the farmed fish, specifically including: in the early stage of farming (fry stage), increasing the minimum corrected safe margin threshold for entering the off-load process from 0.8 to 0.9, shortening the maximum safe time limit of each off-load level, and prohibiting entry into L3 and L4 levels; in the middle stage of farming (rapid growth stage), increasing the dissolved oxygen weight coefficient and allowing the use of all five off-load levels; in the late stage of farming (juvenile stage), real-time correction of the calculation of dissolved oxygen demand according to the actual measured stocking density.

[0104] An energy-saving recirculating aquaculture device, comprising:

[0105] A sensor network module for real-time monitoring of water quality parameters, biological parameters, environmental parameters and equipment state data of the recirculating aquaculture device, wherein the water quality parameters at least include dissolved oxygen concentration, water temperature and other water quality indicators;

[0106] A safety assessment module for calculating dissolved oxygen safety margin, water temperature safety margin and other water quality indicator safety margin based on real-time collected data, and performing weighted processing on the safety margins according to preset weights to obtain a comprehensive safety margin; introducing a time sequence cumulative risk factor to modify the comprehensive safety margin to obtain a modified safety margin, the time sequence cumulative risk factor gradually increases with the increase of the duration of load reduction;

[0107] A load reduction decision module for determining the corresponding load reduction level according to the numerical interval of the modified safety margin during the peak period of electricity price, each load reduction level corresponding to a group of target operating power of the circulating pump, the oxygenator and the temperature control equipment, if it does not belong to the peak period of electricity price, the normal operating power of the equipment is maintained;

[0108] A device control module for adjusting the operating power of each device to the target operating power in sequence through the device control module according to the load reduction priority during the load reduction execution to realize the corresponding load reduction level, and restoring the operating power of the device to the normal operating level when the monitoring result meets the preset recovery trigger condition;

[0109] The circulating pump, the oxygenator and the temperature control equipment are the key equipment of the recirculating aquaculture device, responsible for water circulation, oxygenation and temperature regulation.

[0110] The device clearly describes the composition and function of the energy-saving recirculating aquaculture device system, covering key modules such as real-time monitoring, intelligent assessment, safety margin modification, load reduction decision and device control, to dynamically adjust the equipment power according to the electricity price period and risk assessment, so as to realize energy saving and optimize the breeding environment.

[0111] The above embodiments are only the preferred specific embodiments of the present application, but the protection scope of the present application is not limited thereto, any changes or replacements within the technical range disclosed in the present application can be easily thought by those skilled in the art, which should be covered in the protection scope of the present application. Therefore, the protection scope of the present application should be subject to the protection scope of the claims.

Claims

1. A control method of an energy-saving recirculating aquaculture system, applied to a recirculating aquaculture system, characterized in that, The circulating water aquaculture device comprises a sensor network module, a safety evaluation module, a load shedding decision module and a device control module, and further comprises a circulating pump, an oxygenator and a temperature control device. S1: Real-time monitoring of the circulating water aquaculture device is performed by the sensor network module to obtain water quality parameters, biological parameters, environmental parameters and device state data; the water quality parameters at least include dissolved oxygen concentration, water temperature and other water quality indexes; S2: Based on the real-time collected data, the safety evaluation module is used to calculate dissolved oxygen safety margin, water temperature safety margin and other water quality index safety margin respectively; the three types of safety margins are weighted according to preset weights to obtain a comprehensive safety margin; a time sequence cumulative risk factor is introduced to correct the comprehensive safety margin to obtain a corrected safety margin; wherein the time sequence cumulative risk factor gradually increases with the increase of the load shedding duration, and is used to represent the cumulative effect of system risk; S3: It is judged whether the current is in a power price peak period; If it is in the power price peak period, the load shedding decision module is used to determine the corresponding load shedding level according to the numerical interval of the corrected safety margin, and each load shedding level corresponds to a group of target operating powers of the circulating pump, the oxygenator and the temperature control device; If it is not in the power price peak period, the normal operating powers of the circulating pump, the oxygenator and the temperature control device are maintained; S4: After the load shedding level is determined, the load shedding priorities of the circulating pump, the oxygenator and the temperature control device are calculated, the load shedding priorities are determined based on the ratio of energy saving benefit to risk increment, and the operating powers of the devices are adjusted to the target operating powers in order through the device control module according to the order of the load shedding priorities, so as to realize the corresponding load shedding level; S5: During the load shedding execution, the changes of the water quality parameters, the biological parameters and the environmental parameters are continuously monitored, and when the monitoring result meets the preset recovery trigger condition, the operating powers of the circulating pump, the oxygenator and the temperature control device are restored to the normal operating level through the device control module, and the load shedding state is ended.

2. The control method according to claim 1, characterized by, The parameters collected in real time by the sensor network module specifically include: The other water quality parameters include pH value and ammonia nitrogen concentration; the biological parameters include breeding density and growth stage; the environmental parameters include external temperature and solar radiation intensity; and the device state data includes the current operating power and operating time of the circulating pump, the oxygenator and the temperature control device.

3. The control method according to claim 2, characterized by, The steps of calculating the dissolved oxygen safety margin, the water temperature safety margin and the other water quality index safety margin by the safety evaluation module specifically include: The measured dissolved oxygen concentration of the breeding water at the current time is obtained, the current water temperature is obtained, the current pH value and ammonia nitrogen concentration are obtained, According to the variety of the farmed fish, the growth stage, the farming density, and the water temperature, the critical dissolved oxygen concentration DO is obtained from a pre-established dissolved oxygen requirement database critical and the safe dissolved oxygen concentration DO safe , the safe dissolved oxygen margin M D is calculated.

4. The control method according to claim 3, characterized by, The step of obtaining the comprehensive safety margin by weighted calculation according to the preset weight coefficient specifically includes: Current calculated values of the safety margins M for the current dissolved oxygen, water temperature, and other water quality indicators DO T WQ ​​​ According to the difference between the current value and the historical average value, the dissolved oxygen safety margin M is calculated DO , the water temperature safety margin M T , and the deviation of the safety margin M of other water quality indexes WQ is used to represent the gap between each index and its historical average state; based on the calculated deviation, the weight coefficient of each index is dynamically determined, where the index with larger deviation corresponds to higher weight coefficient; and the comprehensive safety margin M total is obtained.

5. The control method according to claim 4, characterized by The step of introducing the time sequence cumulative risk factor to correct the comprehensive safety margin specifically includes: According to the accumulated load shedding duration t from the beginning of the current load shedding to the current time reduced , wherein t reduced is the accumulated load shedding duration; τ is a time constant, and its value is negatively correlated with the current load shedding level depth; according to the comprehensive safety margin M total and the calculated timing cumulative risk factor R time .

6. The control method according to claim 5, characterized by The step of determining the load shedding level according to the numerical interval of the modified safety margin specifically comprises: presetting five load shedding levels L0, L1, L2, L3 and L4, and setting a corresponding numerical interval of the modified safety margin for each load shedding level; and setting target operating powers for the circulating pump, the oxygenator and the temperature control device according to the load shedding levels L0 to L4.

7. The control method according to claim 6, characterized by The step of calculating the load shedding priority and adjusting the operating power in the priority order specifically comprises: The rated power, the current power and the target power of each device are obtained; the energy saving benefit and the energy saving benefit coefficient of the device are calculated; the historical load shedding risk of the device is counted and the risk increment coefficient is calculated; the load shedding priority of the device is calculated and sorted; and the operating power of the device is adjusted according to the priority to gradually reduce to the target power and monitor the system stability.

8. The control method according to claim 1, characterized by, The preset recovery trigger condition includes the following four conditions: The hard threshold trigger condition is that any of the water quality parameters reaches or exceeds a preset critical threshold; the change rate trigger condition is that the change rate of any of the water quality parameters exceeds a preset safe change rate limit; the time trigger condition is that the cumulative load shedding duration exceeds a preset maximum safe time limit; and the biological behavior trigger condition is that the farmed fish shows stress behavior.

9. The control method according to claim 1, characterized by, The method further comprises a step of dynamically adjusting the control strategy according to the environmental parameter change and the growth stage: The external temperature and the solar radiation intensity are monitored in real time; when it is detected that the solar radiation intensity significantly increases or the external temperature rapidly rises, the minimum operating power of the temperature control device is appropriately increased, and the value of the water temperature weight coefficient is also increased; and when it is detected that the solar radiation intensity decreases or the external temperature decreases, the target operating power of the temperature control device under each load shedding level is reduced.

10. An energy saving type recirculating aquaculture system, characterized by, The circulating water aquaculture device comprises: A sensor network module for monitoring the water quality parameters, the biological parameters, the environmental parameters and the device state data of the circulating water aquaculture device in real time; A safety evaluation module for calculating the dissolved oxygen safety margin, the water temperature safety margin and the safety margins of other water quality indicators based on the real-time collected data, and performing weighted processing on the safety margins according to preset weights to obtain a comprehensive safety margin; and introducing a time sequence cumulative risk factor to modify the comprehensive safety margin to obtain a modified safety margin; A load shedding decision module for determining a corresponding load shedding level according to the numerical interval of the modified safety margin during a high electricity price period, each load shedding level corresponding to a group of target operating powers of the circulating pump, the oxygenator and the temperature control device, and maintaining the normal operating power of the devices if it is not a high electricity price period; A device control module for adjusting the operating power of each device to the target operating power in sequence through the device control module according to the load shedding priority during the load shedding execution to realize the corresponding load shedding level, and restoring the operating power of the devices to the normal operating level when the monitoring result meets the preset recovery trigger condition; The circulating pump, the oxygenator and the temperature control device are key devices of the circulating water aquaculture device, and are responsible for water circulation, oxygenation and temperature control.

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