164results about How to "Achieve balance" patented technology

The invention discloses an intensive culture precise feeding control method based on fuzzy-MPC control, and relates to the technical field of aquaculture intelligent control, and the method comprises the steps: employing a sensing system, collecting multi-source sensing data including fish activity images, healthy growth states and water quality environment data in real time, and forming a comprehensive state data set; and based on the acquired multi-source sensing data, constructing an MTL-LSTM-SAT multi-task learning model. According to the method, the multi-task learning model fusing the LSTM and the soft attention mechanism is constructed, the long-term dependency relationship and dynamic association among the water quality, the feeding and the fish state can be captured, the attention mechanism enables the model to be automatically focused on a key time step, the perception ability of the water quality fluctuation and the feeding influence stage is enhanced, and the accuracy of the water quality fluctuation and feeding influence stage is improved. Meanwhile, double-task collaborative prediction of the growth speed and the disease proportion is achieved through the shared feature layer, a prospective state sequence of the future 7 days is output, and a quantitative and reliable prediction basis is provided for feeding decision making.

The invention discloses a multifunctional indoor storage rack which comprises a base with universal wheels, a vertically telescopic rod, a storage rack main body arranged above the telescopic rod and a dustproof soft cover arranged above the storage rack main body. And a plurality of hanging rods which can slide left and right and are locked through fasteners are arranged on the storage rack main body, so that the hanging or placing distance can be flexibly adjusted according to the width of articles. One end of the dustproof soft cover is wound on the reel in the left frame rod, and the other end of the dustproof soft cover is provided with a magnetic suction rod, can be pulled out and wound on the supporting framework above, and is finally fixed on the right frame rod in a magnetic suction manner, so that a dustproof structure covering the upper part of the storage area is formed. According to the design, dust mainly from the upper portion settles, effective dust prevention is guaranteed, meanwhile, the structure is simplified, and operation is convenient. The device has the advantages of being convenient to move, adjustable in height and width, efficient in dust prevention and the like, reasonable in structure, high in function integration degree, suitable for various indoor storage scenes and high in practicability.

The utility model discloses an air floating platform for optical lens detection, and belongs to the technical field of precision optical detection and air floating supporting, the air floating platform comprises a base, an air floating platform substrate is arranged above the base, a plurality of groups of air floating holes are formed in the air floating platform substrate, and pressure sensing valves are arranged in the plurality of groups of air floating holes; laser interferometer adjusting mechanisms are arranged on the periphery of the air floating platform base plate, the four laser interferometer adjusting mechanisms are slidably connected with the periphery of the air floating platform base plate, a honeycomb matrix air cushion array is arranged in the base, four supporting adjusting mechanisms are arranged at the bottom of the base, and each supporting adjusting mechanism comprises a supporting frame. A threaded rotating shaft is rotationally connected into the supporting frame. When the device is used, the overall balance of the base can be better adjusted when the device is used or after the position of the device is changed, other tools are not needed during adjustment, the overall balance is accurate through the thread adjustment mode, and the practicability of the device is improved.

The invention relates to the technical field of LED display, in particular to an LED fan screen, a heat dissipation control method and a display device, and aims to solve the technical problems of how to accurately obtain the overall working temperature of the LED fan screen and how to automatically adjust the rotating speed of the LED fan screen based on the overall working temperature. In order to achieve the purpose, according to the technical scheme, the method comprises the steps that the working temperature of each position is obtained through temperature sensors arranged in a plurality of heating areas, the overall working temperature of the LED fan screen is obtained based on the temperature influence weight of each heating area, and the rotating speed of the LED fan screen is controlled according to the overall working temperature. Through real-time temperature monitoring and intelligent heat dissipation control of main heating devices of the LED fan screen, the consistency of display colors and the uniformity of brightness of the LED fan screen can be improved, the service life of a core device is effectively prolonged, and meanwhile balance between heat dissipation and energy saving can be achieved.

The application relates to the technical field of yaw slip ring state monitoring, and specifically discloses a multi-dimensional state operation monitoring method and system based on a yaw slip ring, which comprises the following steps: obtaining an original operation data set of the yaw slip ring, wherein the original operation data set contains operation parameters in the electrical, mechanical, attitude and environmental dimensions which are collected via sensors and subjected to redundancy checking; constructing a noise suppression matrix based on the physical mechanism of the yaw slip ring, filtering isolated fluctuations and cross-modal abnormal values in the original operation data set by using the noise suppression matrix, and inputting the noise suppression matrix into a convolutional neural network model to obtain a fusion feature vector. By introducing the noise suppression matrix constructed based on the physical mechanism and the channel interaction mechanism guided by the physical topology, the technical problem that a lightweight model is difficult to extract cross-modal strong coupling features at an edge end is effectively solved, and the sensitivity and accuracy for early composite faults are significantly improved without increasing the computing power burden.

This application relates to the field of organosilicon polymer materials, specifically disclosing a method for preparing and applying a functionalized MQ silicone resin. A method for preparing a functionalized MQ silicone resin includes the following steps: (1) raw material pretreatment; (2) simultaneous addition reaction: mixing and reacting a hydrogen-containing MQ silicone resin, a terminal olefin monomer containing a benzocyclobutene functional group, and a terminal olefin monomer containing a C-F bond; (3) post-treatment to obtain the functionalized MQ silicone resin; wherein the molar ratio of Si-H bonds in the hydrogen-containing MQ silicone resin, C=C bonds in the terminal olefin monomer containing a benzocyclobutene functional group, and C=C bonds in the terminal olefin monomer containing a C-F bond is 1:(0.2-0.6):(0.1-0.4). This application enables the synergistic effect of the rigid benzocyclobutene group and the fluorinated flexible segment, one-step grafting, and structural controllability, ultimately preparing a functionalized MQ silicone resin with excellent dielectric properties, high temperature resistance, low-temperature flexibility, good hydrophobicity, and excellent mechanical strength.

This invention relates to the field of photovoltaic monitoring technology, and discloses a photovoltaic monitoring adaptive sampling method, system, device, and medium based on multi-parameter coupled decision-making. The method includes: constructing a multi-dimensional environmental feature vector; dynamically setting a sampling threshold; determining the current operating mode and the corresponding baseline sampling period; introducing a hysteresis comparison mechanism and a delay confirmation mechanism to optimize the switching control of the operating mode; and introducing a correction coefficient to correct the baseline sampling period to obtain the final sampling period; performing mixed verification on the collected data and outputting data confidence labels; monitoring the operating status in real time; and judging and handling real-time operating faults based on the data verification results. This invention, by constructing a multi-dimensional environmental state vector, performing adaptive sampling based on the environmental state vector, and calculating the sampling period in real time, can output a clean dataset with confidence labels and back-optimize the threshold parameters of the decision layer.

The present application relates to an online batch data processing method and device for training deep neural networks, the method comprising the following steps: sampling a data batch from a given dataset; selecting a subset S from the data batch by using an orthogonalization-based objective function; training a target deep neural network based on the subset S. Compared with the prior art, the present application uses an orthogonalization method to remove the redundancy between subsets, provides an objective function based on orthogonalization de-redundancy correlation to measure the diversity and representativeness of the subsets at the same time, and provides an efficient optimization method based on the objective function and a corresponding data selection algorithm, which can efficiently select diverse and representative subsets.

This invention discloses a Z-axis micromechanical accelerometer and its control method, belonging to the field of acceleration measurement technology. An asymmetric seesaw sensing structure is constructed using mass blocks and a torsional elastic beam. Two symmetrical multifunctional capacitors are formed by designing electrodes below the two mass blocks. The torsion generated by the seesaw structure under Z-axis acceleration can be detected by the change in the differential capacitance of the capacitors, where the capacitors serve as the detection mechanism. Based on the detected change in torsion angle and the PID controller, a PWM voltage for force balance control can be calculated and applied to the symmetrical capacitors via a push-pull method, together with a DC tuned voltage. This generates a constant electrostatic negative stiffness, thereby reducing the equivalent stiffness of the seesaw sensing element, and also generates an electrostatic resultant force that can be modulated by the PWM, maintaining the position of the seesaw sensing structure constant, achieving closed-loop detection. The PWM voltage reflects the magnitude of the external acceleration.

The present application provides a kind of porous carbon and carbon nanotube combined preparation system and method, including activation fluidized bed, carbonization fluidized bed and carbon nanotube preparation fluidized bed;Activation fluidized bed is filled with energy carbon carrier, after oxygen and activating gas are imported, energy carbon carrier and oxygen occur combustion heat release, make activation fluidized bed temperature rise, first tail gas formed is imported into carbonization fluidized bed filled with carbon particle precursor, carbon particle precursor is carbonized under the action of high temperature carried by first tail gas, and generates carbide particle, and the second tail gas containing C1-C 30 ;Carbide particle is transported to activation fluidized bed, by controlling the gas flow rate of first gas inlet, so that carbide particle is always in the upper part of activation fluidized bed, and makes carbide particle activate in activating gas, and forms porous carbon particle;Second tail gas enters carbon nanotube preparation fluidized bed, and under the action of nanometer metal catalyst, C1-C 30 In it, is converted into carbon nanotube to realize low-cost co-production of porous carbon and carbon nanotube.

The invention provides audio automatic detection equipment, and relates to the technical field of audio detection. The audio automatic detection equipment comprises a to-be-tested sound source assembly, and further comprises an air nozzle configured to provide air flow required by a wind noise test for the sound source assembly, and the air nozzle is in fluid communication with a pump set through an air guide pipeline; the artificial ear assembly is correspondingly arranged under the wind nozzle, a main body of the artificial ear assembly is a tubular outer shell, a limiting bayonet is formed in the top end of the outer shell and used for fixing the sound source assembly to be detected, and an audio detection piece is arranged in the bottom end of the outer shell to collect acoustic signals of the sound source assembly in the wind noise environment. According to the invention, a fitting degree quantification structure of deformation of the elastic soft film is matched with an airflow channel switching structure driven by the reversing plug, a test condition close to a real use scene is constructed, the structure can accurately reproduce actual working conditions of earphone wearing loosening and airflow interference, a multi-factor coupling test of ANC intervention and airflow injection under a fitting gap is realized, and the test efficiency is improved. And the influence degree of the airflow on the ANC noise reduction effect and the tone quality is quantified.

The invention discloses a traffic dynamic shortest path distribution method and system based on a triangular fuzzy number weight, and relates to the technical field of intelligent traffic systems.Fuzzy information in a path evaluation attribute is represented through a triangular fuzzy number, a comprehensive weight is analyzed and calculated in combination with deviation maximization and a moisture value, and the decision reliability is effectively improved; a K-Means algorithm is adopted to perform dynamic path search, and through a representative vertex subset pre-calculation and increment updating strategy, the path retrieval efficiency is remarkably improved; a travel time prediction model related to departure time and real-time flow is established, and accurate response to accidental congestion is realized; and finally, outputting an optimal path scheme through a multi-objective decision-making method. Compared with a traditional algorithm, the speed is improved on a real road network data set, the path distribution accuracy is improved, meanwhile, the path safety, comfort and efficiency are effectively balanced, real-time path planning under a large-scale road network is supported, and an efficient solution is provided for intelligent traffic management.

The invention provides a hydrostatic driving method and device for a snow pressing vehicle and a hydraulic system, and relates to the technical field of snow pressing vehicles. The method comprises the steps that the actual rotating speed of an engine is detected and compared with a preset optimal rotating speed range, and a rotating speed deviation signal is generated; based on the rotating speed deviation signal, the displacement adjusting amount of a variable pump and the displacement adjusting amount of a variable motor are calculated through an incremental PID control algorithm; dynamically adjusting the displacement of a variable pump and a variable motor according to the displacement adjusting quantity so as to realize stable control on the rotating speed of the engine; wherein when the load is increased, the variable displacement motor is adjusted to increase the displacement, and if the displacement of the motor reaches the maximum, the variable displacement pump is adjusted to reduce the displacement; when the load is reduced, the variable displacement pump is adjusted to increase the displacement, and if the pump displacement reaches the maximum, the variable displacement motor is adjusted to reduce the displacement. According to the method, the pump and the motor are cooperatively controlled through the incremental PID, the rotating speed of the engine is stabilized, efficient operation of the engine is maintained, and therefore the power utilization rate and the fuel economy are improved.

This invention discloses a method and system for protecting privacy in wearable devices for human activity recognition, aiming to solve the problems of existing methods struggling to balance privacy and utility, and high resource consumption on the edge. The method first acquires multi-channel time-series signals from the wearable device and constructs fixed-length feature vectors. Based on a sensitive attribute inference model and the number of high-risk features, it divides the device into high-risk and low-risk feature sets. Only the high-risk feature sub-vectors are subjected to perturbation noise to generate perturbation latent representations, which are then uploaded to an edge server along with the low-risk feature set. The edge server generates the final feature vectors and assesses the risk of privacy leakage. An offline evaluation is used to construct a privacy-utility trade-off, dynamically adjusting the perturbation dimension and noise amplitude. This invention achieves targeted protection of high-risk features, maximizing the preservation of key recognition information, reducing edge computing power and communication overhead, adapting to the differentiated needs of different scenarios, and balancing privacy security and activity recognition performance.

This invention relates to the field of image data processing technology, and more particularly to a motion capture method and system based on multi-view images. The method includes: acquiring all views containing the target marker and the gaze direction vector; constructing a spatial information matrix based on the gaze direction vector and identifying the principal uncertainty axis to determine geometric weights; acquiring the imaging distance and spot circularity of the target marker to determine imaging quality weights; constructing a comprehensive weight matrix based on the geometric weights and imaging quality weights, and combining this with a regularization term constructed from the eigenvalues ​​of the weighted Hessian approximation matrix to construct a system of linear equations; and solving the system of linear equations to obtain the three-dimensional coordinates of the target marker. This invention reduces depth oscillations in narrow baseline or highly occluded scenes by identifying the principal uncertainty axis and combining it with physical imaging quality for weighting, and by utilizing spectral damping technology to apply adaptive constraints in the direction of missing information.

This invention discloses a health insole containing Atractylodes lancea and its manufacturing process, comprising a breathable surface layer, an Atractylodes lancea functional layer, and an elastic base layer arranged sequentially from top to bottom. The Atractylodes lancea functional layer contains microcapsules containing active ingredients, enabling the slow release of these active ingredients and their efficacy. The Atractylodes lancea functional layer employs a "locally thickened Atractylodes lancea functional layer" design in key areas such as the sole and heel of the insole to enhance the herbal care effect. The breathable surface layer has ventilation channels to achieve "strong antibacterial effect during use and energy-saving and efficacy-preserving effect when idle." This application solves the problems of easy attenuation of the efficacy of traditional Chinese medicine in existing insoles, rapid release of medicinal properties, lack of targeted care for key areas, and poor prevention and treatment effects. It precisely matches the foot health function needs under different states of idle and active use, balancing wearing comfort and health practicality.

This application relates to the field of industrial furnace temperature control technology, and discloses an energy-saving brazing furnace heating process temperature adaptive control method and system. The heating process of the brazing furnace is divided into at least three continuous temperature ranges, including a first temperature range, a second temperature range, and a transition temperature range. A first power control strategy and a first temperature fluctuation tolerance are configured for the first temperature range, and a second power control strategy and a second temperature fluctuation tolerance are configured for the second temperature range. The current temperature range of the brazing furnace is determined based on the current temperature. When it is determined that the brazing furnace is currently in the first temperature range, the first power control strategy is executed to output heating power, ensuring that the characteristic temperature is within the first temperature fluctuation tolerance. When it is determined that the brazing furnace is currently in the second temperature range, the second power control strategy is executed to output heating power, ensuring that the characteristic temperature is within the second temperature fluctuation tolerance. When it is determined that the brazing furnace is currently in the transition temperature range, a smooth switching logic is executed.

The present application relates to the technical field of infrared image processing, and provides an end-side lightweight infrared image denoising method and device and electronic equipment.The method comprises the following steps: acquiring an infrared image with noise to be processed; inputting the infrared image with noise into a target lightweight network trained in advance to output a predicted denoising image; the target lightweight network is obtained by optimization in a training stage based on a joint loss function; the joint loss function at least comprises a pixel-level reconstruction loss, a gradient domain sparse regularization loss and a vertical direction smoothing constraint loss; the gradient domain sparse regularization loss constrains a residual image between a reference image and the predicted denoising image, so that the residual image remains sparse in the gradient domain; the vertical direction smoothing constraint loss is used to calculate a difference value of adjacent pixels in the vertical direction of the predicted denoising image, and the difference value is punished to suppress horizontal stripe noise in the infrared image.The present application solves the contradiction between limited computing power and high-fidelity denoising.

The application discloses a fair and sequential model predictive control multi-objective optimization method for a parallel T-type three-level rectifier, and aims at solving the problems of power distribution, midpoint voltage balance, circulating current suppression, DC voltage stability and grid current tracking in a parallel T-type three-level rectifier system in a high-power rectifier occasion. The application adopts double closed-loop control, the outer ring adopts adaptive droop control with voltage feedforward, realizes the stability of DC voltage and load power distribution, the inner ring adopts fair and sequential model predictive control, through the fair priority order, not only the advantage that the sequential model predictive control does not need to select a weight factor is reserved, but also the problem that the optimal solution cannot be selected due to the fixed priority order of the sequential model predictive control is solved, the balance of the midpoint voltage, the circulating current suppression and the tracking of the grid current are realized, and the overall scheme realizes the multi-objective optimization control of the parallel system.

The invention discloses a distributed driving vehicle integrated three-way cooperative control method based on FTV-MPC. Comprising the following steps: constructing a multi-domain coupling three-way control model of a distributed driving vehicle, linearizing and discretizing the multi-domain coupling three-way control model based on a planned trajectory, and constructing a state prediction error vector according to an obtained state matrix and a control matrix; normalizing the state planning error and the control planning error based on a multi-domain coupling three-way control model, and constructing a state weight matrix and a control weight matrix based on a normalization result; and constructing an FTV-MPC cost function according to the state prediction error vector, the state weight matrix and the control weight matrix, and solving the FTV-MPC cost function to obtain an optimal control sequence of the distributed driving vehicle. According to the method, the problems that distributed driving vehicle three-way cooperative control lacks a unified model, multiple control targets are difficult to balance and non-convex optimization solution is difficult are solved, and high-precision integrated three-way cooperative control is realized.

This utility model relates to aquaculture technology and presents a circulating pond for raising marine fish using brackish water from saline-alkali land. The pond includes a brackish water source, a rearing pond, a water quality conditioning system, a circulating filtration system, an aeration system, and an intelligent monitoring system. The bottom of the rearing pond has a central drain outlet and multiple aeration discs. The pond also contains a level sensor and movable partition mesh. The water quality conditioning system includes a salinity adjustment device, a pH adjustment device, and a mineral supplementation device. The circulating filtration system includes a coarse filter, a biological filter, a precision filter, and an ultraviolet sterilizer. The aeration system includes a Roots blower, an oxygen generator, an oxygen distributor, a dissolved oxygen sensor, a main oxygen supply pipeline, and a ring-shaped oxygen supply pipeline. The intelligent monitoring system includes a central controller, multi-parameter water quality sensors, an online ammonia nitrogen analyzer, a camera, and an alarm.

The invention discloses an event-driven adaptive sampling and hierarchical transmission method based on a data change rate. The event-driven adaptive sampling and hierarchical transmission method specifically comprises the steps that S1, an equipment end collects industrial equipment operation data at a fixed frequency and generates a data frame; s2, the server side calculates the data change rate of adjacent data frames from the same equipment, and generates an abnormal score based on the change rate; s3, the server side divides the data frame into event levels at least including a heartbeat level, a conventional level, an abnormal level and an accident snapshot level according to the abnormal score Score; s4, the server performs adaptive adjustment on an issuing strategy to the client according to the event level; s5, the server triggers an accident snapshot level event, and reliably transmits and issues the accident snapshot level event to the client through a TCP; and S6, the server side enables the data of different event levels to enter different priority queues and dispatches and issues the data according to the priorities. According to the invention, through event grading, sampling self-adaption and grading transmission, priority arrival of key abnormal data and complete reservation of accident data are realized.

This invention discloses a method and system for thyroid and breast surgical biopsy and surgical planning using multimodal image fusion, belonging to the fields of medical image processing and surgical computer-aided planning technology. The method includes the following steps: acquiring multimodal medical image data and dynamic body posture information of the thyroid and breast regions, and organizing them into a continuous time series according to time sequence as the input basis for subsequent analysis and calculation; comparing magnetic field interference signs and brightness extension trajectories in the continuous time series frame by frame, extracting regions with abnormal signal distributions, generating a candidate list of artifacts, and identifying the suspected artifact range. This invention achieves synchronous correction of artifact regions and restoration of image geometric accuracy through time series reconstruction and spatial offset correction, ensuring the spatial consistency of the fusion model. By generating a list of coordinate anomalies and high-risk locations, it enables dynamic path review and risk identification, ensuring that the biopsy and surgical paths correspond to the real tissue, improving sampling accuracy and surgical safety.

The invention discloses a laser diameter measuring instrument lens self-cleaning device and method based on multi-mode cooperation, and belongs to the technical field of cigarette manufacturing. The device comprises a pollution sensing unit for acquiring the pollution area P, the oiliness index Q and the particle density G of the surface of the lens; the annular ion air curtain unit is used for generating ion airflow flowing by being attached to the surface of the lens; the piezoelectric ultrasonic unit transmits high-frequency vibration to the surface of the lens; the ultraviolet laser unit is used for emitting pulse type ultraviolet laser; and the controller is electrically connected with each unit. The method comprises the following steps: acquiring pollution characteristic parameters in real time; determining a pollution level; generating a time sequence control instruction; and all the cleaning units are cooperatively controlled to work. According to the invention, self-adaptive, non-contact, non-stop and efficient cleaning of composite pollutants such as tobacco dust, tar and sugar is realized, the real-time cleaning requirement of a high-speed production line is met, and the measurement precision and the operation stability are guaranteed.

The utility model relates to the field of bread production, especially point to a kind of toast bread integration kneading, leavening and forming device, the device includes rack, carousel, kneading mechanism and leavening mechanism. The utility model is based on vertical rack, integrates carousel, kneading mechanism and leavening mechanism. Carousel realizes accurate rotation by internal meshing transmission, drives detachable barrel switching station;Barrel is quickly fixed by means of electromagnetic adsorption structure and positioning block, and disassembly is efficient and stable. Kneading mechanism is driven by screw rod and guide light pole in coordination, to ensure that mixer accurately lifts and kneads. Leavening mechanism drives leavening cover by air cylinder, matches sealing ring and air hole, realizes sealing leakage prevention and air pressure balance, atomizing nozzle and temperature sensor guarantee leavening temperature and humidity stability. Device realizes process automation link, improves production efficiency and product quality.

The invention relates to the technical field of artificial intelligence image recognition and data mining, and discloses an image data mining processing system and method combining a visual large model and a visual small model. The method aims at solving the problems that in the prior art, the image recognition recall rate and accuracy are difficult to consider, the calculation cost and the processing speed are unbalanced, the data management efficiency is low, and the model generalization ability is insufficient. The system comprises a data input module, a frame extraction deduplication module, a picture library construction module, a visual large model judgment module, a visual small model judgment module, a label preprocessing module, a manual inspection module, a training data generation module, a model training module and a data security module. According to the method, the generalization ability is guaranteed through preliminary screening of an LPM (Deic) large model, missing detection is complemented through secondary verification in cooperation with a YOLO small model, false alarms are eliminated in combination with manual verification, meanwhile, double models are optimized through targeted sample training, the pain point of missing detection or misjudgment of a single model is effectively solved, and accurate and comprehensive consideration of target recognition is achieved.

The utility model discloses a lawn trimming height adjuster, which belongs to the technical field of lawn trimming and comprises a mounting frame, telescopic rods are fixedly connected to two ends of one side of the mounting frame, a first electric push rod is fixedly connected to the middle of the side of the mounting frame, and a first connecting rod is fixedly connected to one ends, away from the mounting frame, of the telescopic rods and the first electric push rod. A hollow frame is fixedly connected to the other end of the first connecting rod, and a rotating disc is rotationally connected into the end, away from the first connecting rod, of the hollow frame; according to the lawn trimming height adjuster, the rotating speeds of driving motors of the two sets of cutting discs are adjusted respectively, and the height between the main cutting disc and the auxiliary cutting disc is adjusted independently in cooperation with a second electric push rod, so that the load and temperature rise of the auxiliary cutting disc are far lower than those of the main cutting disc; the positions of the two sets of cutting discs are alternated through the alternation motor, high and low load tasks are alternately borne, and the original main cutting disc enters a low-load state after being switched into the auxiliary disc.

The application discloses a medicine production waste liquid separation and recovery system, and belongs to the technical field of medicine production waste liquid separation and recovery.The separation and recovery system comprises a conical sedimentation chamber, a pulse backflush membrane assembly, a modular membrane package, a mixing tank and a micro vacuum pump.The mixing tank is used for containing medicine waste liquid or enrichment liquid.The slurry in the mixing tank is discharged into the conical sedimentation chamber.The conical sedimentation chamber is used for separating the slurry into large-particle impurities and suspension.The suspension comprises medium-particle and small-particle.The pulse backflush membrane assembly is used for separating the suspension into enrichment liquid and solvent permeate.The modular membrane package is used for separating the solvent permeate into enrichment liquid and high-concentration solvent.The application reduces the membrane pollution rate of the pulse backflush membrane assembly, realizes liquid level stability and concentration dynamic balance, improves the solid content control precision of the enrichment liquid, improves the recovery purity of the medicine production waste liquid and reduces the system operation energy consumption.

This invention provides a method for producing single-cell protein using a mixed bacterial culture, comprising the following steps: performing primary seed culture on methanogenic bacteria, *Tricholoma materata*, and *Glucosinolate methyl-eating bacteria* to obtain primary seed solutions; mixing the primary seed culture solutions evenly to obtain a mixed bacterial solution; inoculating the obtained mixed bacterial solution into a secondary seed culture medium for cultivation to obtain a secondary seed solution; inoculating the obtained secondary seed solution into a fermentation medium for scale-up cultivation to obtain a fermentation broth; separating the solid and liquid components of the obtained fermentation broth, harvesting the bacterial cells, and obtaining single-cell protein. This method for producing single-cell protein using a mixed bacterial culture improves the utilization rate of the carbon source methane and the yield of single-cell protein.

The utility model relates to a kind of intelligent temperature control's battery mobile cold air device, including box, refrigeration cavity, power supply cavity, fan, battery, evaporative mechanism, temperature sensor being located on box, PLC controller being located in box, the fan includes motor fixedly arranged in refrigeration cavity, first rotating shaft fixedly arranged in motor output end, multiple fan blades fixedly arranged on first rotating shaft;The evaporative mechanism includes water tank fixedly arranged on box, water outlet being located on water tank, spherical stopper being movably arranged in water tank, cylinder fixedly arranged below water tank, baffle being movably arranged in cylinder, top rod fixedly arranged on baffle, limiting component for limiting spherical stopper movement being located in water tank, moving assembly for driving baffle lifting and being linked with first rotating shaft in box, humidifying component being located in box and being communicated with cylinder. Using the cold air device, air volume and humidification amount are synergistically regulated, to realize the dynamic balance of cooling effect and resource consumption.