303results about How to "Precise regulation" patented technology

The invention discloses a method for realizing high-efficiency low-consumption micro-aerobic hydrolytic acidification of petrochemical wastewater by regulating and controlling the aeration rate in combination with a space-time diagram neural network and reinforced learning, and relates to a method for realizing high-efficiency low-consumption micro-aerobic hydrolytic acidification of petrochemical wastewater by regulating and controlling the aeration rate. The method comprises the following steps of: 1, collecting and cleaning data; 2, constructing a graph data set; 3, training the ST-GNN model; 4, constructing a deep Q reinforcement learning model; 5, the trained ST-GNN model is embedded into an automatic control system of a sewage treatment plant, and the model outputs the optimal aeration rate of the current time step and predicts the micro-aerobic hydrolytic acidification effect through interaction of the current working condition and historical data; and adjusting operation parameters of aeration equipment according to the output of the model, and carrying out hydrolytic acidification treatment. The method is high in regulation and control efficiency and low in operation error, and can be applied to the field of digital and intelligent management of sewage treatment plants.

According to the coastal saline-alkali land underground water level adjusting system based on real-time monitoring and intelligent regulation and control, the system integrates the soil salinity sensor, the underground water level sensor and the central processing unit, future trend prediction is carried out by monitoring key parameters such as soil salinity and underground water level in real time in combination with a deep learning model, and the real-time monitoring and intelligent regulation and control are achieved. And precise intelligent regulation and control are realized. The system can effectively reduce soil salinization, prevent seawater from flowing backwards, improve the utilization efficiency of water resources and reduce the labor management cost at the same time. The method is characterized in that the application of multi-parameter comprehensive monitoring, a deep learning prediction model and a self-adaptive intelligent regulation and control algorithm provides a new technical solution for coastal saline-alkali land treatment.

The invention discloses a quantum dot enhanced dynamic power consumption management method, a quantum dot enhanced dynamic power consumption management system and related equipment. Aiming at the problem of insufficient optimization caused by difficulty in comprehensively, accurately and dynamically sensing the internal energy distribution and conversion process of a chip by a traditional method, the method comprises the following steps of: acquiring the quantum state of the chip in real time by utilizing a quantum dot sensing array, and constructing an adaptive power consumption prediction model by combining multi-source data fusion and feature extraction; and an optimal management strategy is generated based on a multi-objective optimization framework, an execution feedback and self-learning mechanism is introduced, and finally a complete closed-loop control system is formed. The method can be widely applied to various processor chips in the fields of high-performance calculation, the Internet of Things, artificial intelligence and the like, dynamic power consumption management of the chips is achieved through the quantum dot enhancement technology, the performance is guaranteed, meanwhile, energy consumption is minimized, the battery endurance time is prolonged, the heat dissipation cost is reduced, and the energy efficiency of the chips can be remarkably improved.

The invention relates to the technical field of smart home, and discloses an AI-based fan intelligent temperature regulation control system, which comprises a multi-dimensional data acquisition module for acquiring environment temperature, humidity, air quality, illumination intensity and human body state data; the data fusion and preprocessing module is used for carrying out denoising, standardization and time synchronization on the multi-dimensional data and fusing the multi-source data; the AI decision and control module is used for generating a speed regulation and mode control instruction of the fan based on the human body comfort evaluation model and an AI algorithm; and the feedback optimization and execution module is used for executing the control instruction. Through a multi-dimensional data perception and fusion technology, comprehensive monitoring of environment temperature and humidity, air quality and a human body state is realized. The AI intelligent regulation and control algorithm is combined, the fan speed and mode are dynamically adjusted, and the user comfort and energy consumption are balanced; through edge calculation and cloud optimization, real-time response and continuous adaptive optimization of the system are ensured, and the accuracy and stability of the system are improved.

The invention relates to the technical field of power supply systems, in particular to a source-grid-load-storage-based microgrid optimization control related device and method, and the method comprises the steps: obtaining photovoltaic power generation power, wind power generation power and load power utilization power at each moment in each collection period before each collection moment; constructing a target function; determining a power supply change rate and a power utilization change rate of each acquisition period; determining a power supply fluctuation index and a power utilization fluctuation index of each acquisition period; determining a supply balance coefficient of each acquisition period; determining a mutation coefficient of each collection moment; determining the inertia weight of the particle swarm optimization algorithm at each acquisition moment; and in combination with a particle swarm optimization algorithm, determining the charging and discharging power of the energy storage side in the collection period of each collection moment, and controlling the charging and discharging power of the energy storage side in the micro-grid. According to the method, the objective function can be accurately optimized, so that the charging and discharging power of the energy storage side can be accurately regulated and controlled, and the optimization control accuracy of the micro-grid is improved.

The invention relates to the technical field of clean air conditioning systems, in particular to an intelligent regulation and control method and system for a clean air conditioning system.The method comprises the steps that in response to the situation that real-time environment parameters are not located in a target parameter interval, the real-time environment parameters and an initial control sequence are input into a prediction model to obtain adjusted environment parameters after the initial control sequence is executed, the initial control sequence is a control parameter of each dimension in a preset time period; predicting the noise degree of the initial control sequence, and constructing a loss function; and iteratively updating the initial control sequence by using a gradient descent method, and stopping when the value of the loss function is smaller than a preset value to obtain a target control sequence so as to realize regulation and control of the clean air conditioning system. By means of the technical scheme, precise regulation and control of the clean air conditioning system can be achieved.

The invention provides an equipment-level digital twinborn body construction method based on model data fusion, and belongs to the technical field of renewable energy scheduling. The method comprises the following steps: collecting operation data and external environment data of photovoltaic power generation, wind power generation and energy storage equipment; performing data cleaning and data standardization processing on the operation data and the external environment data; constructing a digital twinborn body of the photovoltaic power generation equipment, and dynamically adjusting the digital twinborn body of the photovoltaic power generation equipment by using the external environment data, the operation data of the photovoltaic power generation equipment and the historical power generation data; constructing a digital twinborn body of the wind power generation equipment; and constructing a digital twinborn body of the energy storage equipment. The method has the advantages that through multi-source data fusion, refined modeling and dynamic optimization of equipment are realized, and accurate reflection and regulation and control of the equipment state are ensured; and through multi-source data fusion, refined modeling and dynamic optimization of the equipment are realized, and accurate reflection and regulation and control of the equipment state are ensured.

The invention discloses a fumigation treatment multi-parameter comprehensive monitoring system which comprises a multi-parameter sensor monitoring module, a multi-modal data processing and analyzing module, a system intelligent monitoring and adjusting module, a fumigation environment control module, a remote maintenance and management module and a system interaction and feedback module. The multi-parameter sensor monitoring module is used for collecting parameter data. The multi-modal data processing and analyzing module is used for fusing and analyzing data. The system intelligent monitoring and adjusting module is used for intelligently monitoring and adjusting fumigation strategies. The fumigation environment control module is used for adjusting environment parameters. The remote maintenance and management module is used for system maintenance and management. And the system interaction and feedback module is used for display interaction of data and a control state. According to the fumigation treatment multi-parameter comprehensive monitoring system, a multi-modal data fusion algorithm based on information channel decomposition is provided for multi-parameter data fusion and analysis; and a multi-parameter intelligent monitoring algorithm based on a multi-layer feedforward neural network is provided to intelligently monitor the fumigation environment.

The invention discloses a cationic polymer-based proteolysis targeting chimera as well as preparation and application thereof, and belongs to the fields of targeting protein degradation and nanotechnology. According to the chimera, a cationic polymer is used as a connecting arm to connect a target protein ligand and an E3 ubiquitin ligase ligand to form a ternary complex, so that efficient degradation of target protein is realized. By adjusting the ligand proportion, chimeras with different degradation efficiencies can be synthesized, and accurate regulation and control are realized. The pH-responsive nano-drug obtained by hydrolyzing the targeting chimera by using the targeting protein can respond to an acidic tumor microenvironment, specifically release the chimera, and improve the targeting property and the treatment effect of the drug. Compared with the traditional PROTACs, the compound has higher bioavailability and tumor permeation effect; the preparation method of the nano-drug is simple and easy to implement, provides possibility for preparation of high-performance nano-drugs, shows potential in preparation of anti-tumor cell drugs, provides new thoughts and methods for tumor treatment, and has important clinical application value.

The invention relates to the technical field of chilled fresh meat processing, in particular to a chilled fresh meat processing system and method.The chilled fresh meat processing system comprises a storage warehouse used for storing a plurality of livestock carcasses of a single batch; the temperature module is used for refrigerating the repository; the humidity module is used for humidifying and dehumidifying the interior of the repository; comprising a fan; comprising a data input unit arranged at the input end of the storage library, and a data acquisition module of an image acquisition unit and an environment acquisition unit which are respectively arranged in the storage library; the judgment module is used for prolonging a first preset duration to a corresponding value when judging that the initial acid discharge of the livestock carcass does not meet a preset standard according to the carbon dioxide concentration characteristic change rate, or carrying out secondary judgment according to the lean meat percentage of the livestock carcass of the batch; and the control module is used for judging whether the acid discharge of the batch of livestock carcasses meets a preset standard or not according to the acid discharge effect characteristic coefficient. The processing efficiency of chilled fresh meat is improved.

The invention relates to a three-phase imbalance treatment method and a micro-energy regulator, and belongs to the technical field of power supply systems. The method comprises the steps that when a three-phase imbalance phenomenon occurs, the three-phase imbalance degree is obtained according to the maximum power deviation between phases and the total power of the three phases; when the three-phase unbalance degree is greater than a preset unbalance degree, calculating the single-phase power deviation of each phase according to the three-phase average power and the single-phase power of each phase; comparing the three-phase total power with a preset transformer area load rate, and when the three-phase total power is greater than the preset transformer area load rate, storing energy and discharging; if yes, the single-phase power deviation needs to be updated according to corresponding design requirements; for energy storage, the total discharge power or the total power absorption power of each phase is determined according to the updated single-phase power deviation, proportional gain and integral gain; and discharging or absorbing electricity for each phase until the total discharging power or the total electricity absorbing power of each phase is met. According to the invention, the phenomenon of heavy load or return of the transformer area can be reduced.

The invention provides a method for regulating and controlling cooling time after Joule heating and a high-entropy oxide electrocatalyst based on the method, and belongs to the technical field of electrocatalytic electrolysis of water. According to the method, the relationship between the graphite substrates with different mass area ratios and the cooling time is determined based on the Newton's law of cooling by carrying out volume segmentation on the graphite substrates; the structure and performance of the high-entropy oxide electrocatalyst are regulated and controlled on the basis of a cooling time regulation and control strategy; the prepared high-entropy oxide electrocatalyst has excellent oxygen evolution reaction catalytic activity in an alkaline environment, the structure of the high-entropy oxide electrocatalyst with the cooling time of 0.3 s is a nanowire assembled by fine nano-particles, the high-entropy oxide electrocatalyst shows the optimal electrochemical performance, and under the current density of 10 mA cm <-2 >, the high-entropy oxide electrocatalyst has excellent oxygen evolution reaction catalytic activity. And the overpotential is only 219 mV. The method provided by the invention is simple and efficient, and can be widely applied to preparation and performance optimization of the electrocatalyst.

The invention discloses a preparation method of calcite type calcium carbonate whiskers, which comprises the following steps: (1) preparing a calcium hydroxide suspension, and heating the calcium hydroxide suspension to obtain a hot calcium hydroxide suspension for later use; (2) adding a seed crystal and a crystal form control agent into the hot calcium hydroxide suspension, and uniformly stirring to obtain a hot mixed suspension; (3) continuously introducing carbon dioxide into the hot mixed suspension liquid for reaction until the reaction is finished, stopping introducing the carbon dioxide to obtain a calcium carbonate suspension liquid, filtering and drying to obtain calcium carbonate powder; and (4) calcining the calcium carbonate powder in a furnace, and crushing to obtain the calcite type calcium carbonate whisker. The calcium carbonate whisker prepared by the method is calcite type, and a new research thought is provided for preparation of the calcite type calcium carbonate whisker; the calcite calcium carbonate whisker prepared by the method is the most stable phase of calcium carbonate, and the application field of the calcium carbonate whisker is expanded.

The invention belongs to the technical field of precision equipment assembly, and discloses a human-in-the-loop precision equipment assembly precision regulation and control method and related device.The method comprises the steps that parameter input and precision output are obtained according to data obtained through actual measurement and adjustment of precision equipment, and a high-precision sample set database is established in combination with geometric parameters and physical parameters; obtaining empirical data, and constructing an empirical model and a preference learning model based on the empirical data; bayesian optimization is carried out based on a high-precision sample set database, a digital twinborn model is established in combination with a human-in-the-loop, optimization is carried out through the digital twinborn model, an empirical model and a preference learning model are combined, and an assembly adjustment scheme meeting the assembly precision and performance is selected. According to the method, empirical data are introduced into optimization regulation and control of complex precision equipment assembly, an effective method is provided for achieving rapid and accurate regulation and control of complex precision equipment, and the method has great significance in greatly improving the assembly precision of the complex precision equipment.

The invention discloses a knowledge-driven and data-driven magnaporthe oryzae AVR (Automatic Voltage Regulation) gene RNA (Ribonucleic Acid) secondary structure generator, which is characterized in that an on-chip memory of an ARM (Advanced RISC Machines) chip and an external DRAM (Dynamic Random Access Memory) chip are adopted for respectively storing RNA original data and intermediate results; an FPGA chip is adopted to realize mapping from an RNA sequence to a knowledge graph, and features such as base pairing are fused through LUT; a multi-core AI chip is adopted, an encoder-decoder network is executed in parallel, and knowledge and data are fused to generate a secondary structure; and the VAE-GAN network is executed in a streamlined manner through an AI chip, the quality of the generated structure is evaluated and iteratively optimized, and an accurate RNA secondary structure is generated. The invention further discloses a knowledge-driven and data-driven fused magnaporthe oryzae AVR gene RNA secondary structure prediction method, RNA physicochemical characteristics are utilized, deep learning, transfer learning and knowledge distillation technologies are combined, and the prediction accuracy and operation efficiency are improved.

The invention discloses an intelligent green illumination control method for weakening urban light pollution, and relates to the field of illumination control, and the method comprises the steps: determining a weakening coefficient of a light pollution weakening factor to illumination intensity, and determining a reflection coefficient of a light reflection object to the illumination intensity; calculating a direct illumination effect at the illumination point, and calculating a reflected illumination effect at the illumination point; a direct light pollution identification standard is formed, and a reflected light pollution identification standard is formed; taking the lighting point with light pollution as a lighting point to be regulated and controlled; classifying the lighting points to be regulated and controlled into necessary lighting points and unnecessary lighting points; and adjusting the actual illumination intensity of the necessary illumination point to an illumination intensity allowable value. According to the method, the light reflection object and the light pollution weakening factor are determined, the corresponding weakening coefficient and reflection coefficient are determined, and different adjustments are carried out at the necessary illumination point and the unnecessary illumination point, so that the actual illumination requirement can be met, and the influence of light pollution can be weakened to the greatest extent.

The invention relates to a high-speed rail traction system motor temperature monitoring device based on an RBF neural network, belongs to the field of intelligent sensing, and solves the problems of low sensor precision and high early warning and false alarm rate. Comprising a plurality of traction motor temperature sensors which are distributed in each motor and used for measuring the temperature of the motor in real time, obtaining the current motor temperature and transmitting the current motor temperature to a microprocessor; the microprocessor performs nonlinear error temperature compensation on the current motor temperature monitored by the sensor by using an RBF neural network based on an improved particle swarm to obtain compensated motor temperature values, judges whether all the compensated temperature values are smaller than a first temperature threshold value or not, and sends a first early warning instruction to the early warning module if not; a speed reduction instruction is sent to a high-speed rail centralized control center, and a signal is sent to the air feeder corresponding to the motor with the compensated temperature value exceeding the preset temperature threshold value for cooling; if any one of all the compensated temperature values is larger than or equal to a second temperature threshold value, a stopping instruction is sent; and the early warning module performs early warning based on the early warning instruction. And accurate temperature monitoring is realized.

An optical fiber coating apparatus may include a feeding unit; the coating unit comprises a guide wheel mechanism used for conveying optical fibers and a solution pool containing suspension liquid, particles are contained in the suspension liquid, and the guide wheel mechanism is located below the liquid level of the solution pool; an air drying unit; the optical fiber operation control unit comprises a controller and a driving device, the controller is used for controlling the driving device to pull the optical fiber on the feeding disc to sequentially pass through the coating unit and the air drying unit at a preset optical fiber operation linear speed, and in the coating unit, the optical fiber is immersed into the solution pool along the guide wheel mechanism and operates along with the guide wheel mechanism; and the air drying unit is used for drying the optical fiber subjected to film coating treatment.

The invention provides a tire recycling method, a storage medium, an electronic device and a computer product program.The tire recycling method comprises the steps that waste tires are obtained and pretreated, and waste to be recycled is obtained; adding a first set amount of the to-be-recycled waste, a first set concentration of a solvent, a second set amount of a functional compound and a third set amount of a catalyst into an intermittent reaction kettle, and carrying out chemical reaction under a first set condition to obtain a first product system; and carrying out post-treatment on the first product system to obtain the product, wherein the first set condition is as follows: the reaction time is 1-6 hours, and the reaction temperature is 80-120 DEG C, so that the problem that the desulfurized rubber is difficult to serve as a raw material of a high-performance rubber product due to breakage of molecular chains and expansion of molecular weight distribution of the desulfurized rubber in the prior art is solved.

The invention relates to a whole intestine flora transplantation strategy and a nanometer packaging method and application thereof. According to the method disclosed by the invention, the transplantation of the whole intestinal flora is realized by mainly utilizing the combined transplantation of the intestinal fluid flora and the fecal flora, so that the micro-ecology of the whole intestinal tract is more comprehensively, accurately and efficiently regulated and controlled, and a better flora transplantation treatment effect is achieved. The microflora (microcapsules) is encapsulated by a safe biological material, the encapsulating process is simple in process and short in time consumption, intestinal bacteria in different shapes can be simultaneously encapsulated, and the method is not only suitable for encapsulating oxygen-resistant bacteria and facultative anaerobic bacteria, but also suitable for encapsulating intestinal flora including strict anaerobic bacteria, and has the advantages of being simple in process and low in cost. According to the preparation method, death of intestinal bacteria in the preparation process can be reduced, erosion of gastric acid and the like to the intestinal bacteria can be resisted, the survival rate of the bacteria and the colonization efficiency of the bacteria in host intestinal tracts can be remarkably improved, and the microbial transplantation treatment effect is further enhanced.

The invention discloses a dynamic adaptation and multi-level feedback control solid heat storage system and method.The system comprises a heat storage unit, a feedback control system, a self-adaptation control module and a dynamic flow adjusting device, the heat storage unit is connected with the feedback control system and the self-adaptation control module, the self-adaptation control module is connected with the feedback control system, and the dynamic flow adjusting device is connected with the feedback control system. The dynamic flow adjusting device is arranged on the heat storage unit and connected with the feedback control system and the self-adaptive control module. The heat storage unit comprises a plurality of subareas, and a plurality of heat storage modules which are connected in series and in parallel are arranged in each subarea; the feedback control system comprises a multi-point sensor and is used for monitoring temperature and flow data of each subarea; the self-adaptive control module is used for dynamically adjusting the flow and the temperature of each partition in the heat storage unit by utilizing a multi-level feedback algorithm based on real-time data of the feedback control system; the dynamic flow adjusting device is used for adjusting flow distribution of all the subareas in the heat storage unit according to the load requirement.

The invention provides a method for accurately regulating and controlling the water quality of cold water in a rotor of a phase modifier, which comprises the following steps: accurately regulating and controlling the water quality of the cold water in the rotor through a bipolar membrane reactor, a rectifier and a control system; the anion receiving liquid circularly circulates between the anion receiving chamber and the anion receiving box, the rotor internal cooling water circularly circulates between the rotor internal cooling water chamber and the raw water tank, and the phase modifier rotor internal cooling water can be introduced into the raw water tank through a bypass and returns to the rotor internal cooling water system from the raw water tank; the water quality of rotor internal cooling water introduced into the raw water tank is monitored in real time through an online pH meter and an online conductivity meter of an internal cooling water circulation pipeline, and parameters of applying direct current to an operation membrane stack are regulated and controlled through a rectifier. According to the invention, the controllability is stronger, the stability is better, the water quality of the cold water in the rotor can be accurately regulated and controlled and recycled, an ion exchanger is not required to be arranged for ion exchange desalination, the energy consumption is low, and the pollution is avoided.

The invention discloses a prebiotic composition capable of proliferating bifidobacterium and application of the prebiotic composition. The prebiotic composition comprises polydextrose, isomaltooligosacharide and galactooligosaccharide. Wherein the mass ratio of the polydextrose to the isomaltooligosacharide to the galactooligosaccharide is (0-2): (3-5): (4-5). The prebiotic composition provided by the invention can increase the content of total bifidobacteria in intestinal tracts, especially can specifically proliferate bifidobacteria longum and bifidobacteria breve, and can accurately regulate and control intestinal flora, thereby accurately intervening in host health.

The invention provides a cubic tin selenide-based thermoelectric crystal and a preparation method thereof, and relates to the technical field of crystal synthesis. The preparation method comprises the following steps: weighing tin, silver, antimony and selenium simple substances, putting into a first container, vacuumizing and sealing; raising the temperature of the first container to 953-1373K, and keeping the temperature for 15-30 hours; taking out the alloy ingot after cooling, putting the alloy ingot into a second container, vacuumizing and sealing; and heating the second container to 973-1373K, carrying out heat preservation for 5-30h, cooling the second container to 923-1173K at a first cooling rate, cooling the second container to 873-923K at a second cooling rate, and cooling the second container to room temperature at a third cooling rate. The blocky cubic tin selenide single crystal material is prepared, the extremely high grain orientation degree is achieved, and the high-performance thermoelectric material can be obtained.

The invention provides an external heat compensation device, system and method for a catalytic cracking bed regenerator. The external heat compensation device (1) comprises an electric energy supply heating device (2) and a shell (3); the electric energy supply heating device (2) is composed of a plurality of electric heating pipes (4). The electric energy supply external heat compensation device is used for performing external heat compensation on the regenerated catalyst, no hydrothermal environment is generated in the external heat compensation device, and the catalyst can be prevented from being structurally inactivated even under an overheat condition, so that the catalyst consumption is reduced, and the heat balance of a catalytic cracking reaction-regeneration system is realized.

The invention relates to the field of free radical solution polymerization programmed monomer supplementation, in particular to a polyacrylonitrile spinning solution with an adjustable molecular sequence and a preparation method thereof.The preparation method comprises the steps that polymerization solution formula components and dosage ranges are determined, and the components comprise acrylonitrile, itaconic acid, methyl methacrylate or fumaramide and the like; the thermodynamic reaction temperature ranges from 60 DEG C to 66 DEG C, the total monomer concentration ranges from 18 wt% to 26 wt%, and the initiator concentration ranges from 0.072 wt% to 0.103 wt%. When preparation is started, all components except for partial itaconic acid are added, then itaconic acid is supplemented in batches, and the supplementing time and the proportion range interval can be calculated according to a specific formula. The itaconic acid is supplemented in a manner of body nitrogen blowing or metered addition after dissolution, and the solution concentration is less than or equal to 55wt%. According to the method, the molecular sequence can be accurately regulated and controlled, the homogeneity of the copolymer is improved, heat release in the polymerization process is uniform, a stable environment is provided for industrial production, meanwhile, a reaction system is optimized, and the reaction efficiency and the product yield are improved.

The invention discloses a multi-energy micro-grid energy regulation and control method and device and a storage medium. The method comprises the following steps of: constructing a scene prediction constraint optimization problem by utilizing a trained Warisstein generative adversarial network, and predicting a group of multi-dimensional uncertainty multi-energy micro-grid operation scenes in a future period by following known information at each moment to serve as prediction scenes; forming a pre-scheduling model and a real-time power compensation model based on the prediction scene, and forming a two-stage multi-energy micro-grid real-time energy regulation and control model; a pre-scheduling model obtains a pre-scheduling instruction of the multi-energy micro-grid based on random model prediction control by using the prediction scene information; the real-time power compensation model coordinates schedulable units in the multi-energy micro-grid according to real-time observation of uncertain variables; therefore, the energy in the multi-energy micro-grid is regulated and controlled. Through quick response and adjustment of real-time data, the system can effectively cope with fluctuation caused by uncertainty, thereby realizing accurate regulation and control of the energy of the multi-energy micro-grid.

The invention discloses a scene control method of a smart home system, a scene control device of the smart home system and a storage medium. The method comprises the following steps: acquiring scene feature information of a target indoor space; sequentially determining matching conditions of various preset scenes in at least two preset scenes and the scene feature information, and obtaining at least two recognition results; determining a target scene in the at least two preset scenes according to the at least two recognition results; and controlling at least one intelligent electric appliance in the target indoor space to operate according to the target scene. The invention aims to improve the scene recognition accuracy and improve the equipment control accuracy.

The invention discloses an accurate feeding system based on multi-source heterogeneous data driving and artificial intelligence. The accurate feeding system comprises a control unit, a data acquisition unit, a feeding unit and a feeding monitoring unit. The data acquisition unit comprises an environmental parameter acquisition module and a water quality parameter acquisition module; the feeding monitoring unit comprises an intelligent camera and an underwater identification frame. The feeding method comprises the following steps: S1, data acquisition; s2, the control unit determines the appropriate feeding amount based on the environment parameters, the water quality parameters and the feeding rule data; s3, feeding according to the basic feeding amount, monitoring the feeding condition of the fishes through a feeding monitoring unit after feeding, and performing secondary feeding according to the feeding condition. By means of the accurate feeding system, the bait coefficient can be remarkably reduced, bait waste is reduced, accurate mastering and timely regulation and control of fish feeding requirements can be achieved by using multi-source heterogeneous data such as environment data, water quality data and feeding data, and the scientificity and accuracy of feeding can be improved.

The invention relates to the technical field of wind-solar power generation, and discloses a wind-solar complementary power generation device with a storable photovoltaic panel, which comprises a mounting seat, a tower is mounted on one side of the outer wall of the mounting seat, the photovoltaic panel is mounted on one side of the outer wall of the tower, the photovoltaic panel is connected with the tower through a folding and unfolding mechanism, a fixed shaft is mounted at one end of the tower, and the fixed shaft is connected with the mounting seat. And blades are arranged on one side of the outer wall of the fixed shaft. The folding and unfolding mechanism comprises a fixing frame, the fixing frame is installed on one side of the outer wall of the tower, fixing frames are installed on one side of the outer wall of the fixing frame, and first rotating shafts are installed on one sides of the outer walls of the two fixing frames. Through the folding and unfolding mechanism, the angle can be dynamically adjusted according to the sun position, it is ensured that the sun is perpendicular to light as many time periods as possible all day long, illumination is received to the maximum, and the photoelectric conversion efficiency is improved; and on the other hand, blades of the wind power generation part are matched with the adjusting assembly, and the pitch angle can be accurately adjusted no matter how the wind speed and the wind direction change.