51results about How to "High quantitative accuracy" patented technology

The invention relates to the technical field of pesticide residue detection, and discloses an all-in-one fluorescent quantitative test strip management system and method based on a block chain, and the method comprises the steps: obtaining pesticide residue detection data of an all-in-one fluorescent quantitative test strip, carrying out the chaining storage of the detection data, and constructing a pesticide residue toxicity knowledge graph; comparing the detection data with the knowledge graph, and determining the original risk level of the pesticide; in combination with the region and time information, other detection data of the same region and the same time period in the block chain are obtained, clustering analysis is executed, and a pesticide risk reference of the region is determined; dynamically calibrating the original risk level based on the risk reference to generate a calibrated risk level; setting an intelligent contract on the block chain, and automatically triggering a corresponding execution strategy according to the calibrated risk level; the pesticide residue risk can be objectively and dynamically evaluated, intelligent management of pesticide residues is achieved, and the food safety guarantee level of agricultural products is greatly improved.

The invention discloses a multi-task large language model service system based on quantification. The system comprises a dynamic multi-task quantification module and a multi-task request scheduling module, wherein the dynamic multi-task quantification module is used for performing initial multi-task joint quantification and deployment on a deployed model, and when a subsequent new task needs to be introduced, the dynamic multi-task quantification module is also responsible for performing re-quantification on the model; the request pool is used for caching requests sent by various clients and giving the requests to the subsequent multi-task request scheduling module; the multi-task request scheduling module schedules and arranges requests of multiple tasks; whenever a multi-task request scheduling module gives a group of inputs similar to an existing service system, the inputs are sent to a reasoning process to be processed, predicted values corresponding to the outputs are obtained and decoded, and lexical elements obtained through decoding are output in a streaming mode and returned to the scheduling module to wait for next round of scheduling. The method has the advantages of higher availability, better expandability and better user experience.

The invention relates to the technical field of medicine detection, in particular to a detection method of sildenafil citrate tablets, which comprises the following steps: S1, placing contents and target samples with different water contents in a plurality of containers; s2, determining the drug concentration of each region based on the color development characteristics of the diffused image of the target sample in the container at different detection time points, and calculating the concentration gradient component and diffusion concentration gradient of the target sample; s3, measuring the total amount or the concentration of the residual medicine of the target sample in the plurality of containers in a preset time period so as to determine the residual degree of the target sample; and S4, determining the diffusion difference degree based on the diffusion concentration gradient and the residual degree, and evaluating the diffusion adaptability of the target sample based on the diffusion difference degree. The accuracy and depth of drug diffusion performance research are improved, reliable data support is further provided for drug research and development and quality control, and drug quality can be improved.

The present invention provides a method for quantitatively assessing the risk of motor vehicle accidents at intersections, including: obtaining historical vehicle trajectory data within the intersection influence area and preprocessing to obtain preprocessed data; extracting vehicle dangerous driving behavior feature data including sudden acceleration and deceleration from the preprocessed data; respectively calculating the average daily frequency of dangerous vehicle behaviors under different turning labels; statistically calculating the average daily motor vehicle trajectory flow under different turning labels based on the vehicle historical trajectory data; calculating the spatiotemporal distribution of motor vehicle accident risk probabilities under different turning labels and generating a spatiotemporal map; and weighted calculating the overall motor vehicle accident risk level index at the intersection. The present invention utilizes the frequency characteristics of dangerous driving behaviors of networked vehicles to correlate with intersection accident probability characteristics, effectively making up for the difficulty in collecting traffic accident data, and effectively supporting safety warning services for vehicles passing through intersections.

The invention provides a fire extinguisher tank coating process parameter collaborative optimization control method and system. The method comprises the following steps: acquiring infrared radiation data on the surface of a paint film of a fire extinguisher tank in a curing oven, and generating a temperature distribution matrix through thermal gradient analysis; quantifying temperature difference characteristics of different positions of the surface by using the matrix; a multispectral infrared thermal imager is annularly arranged in the curing oven, the optical scanning path of the multispectral infrared thermal imager is dynamically adjusted based on temperature difference characteristics, temperature abnormal points are marked, and a three-dimensional thermal field distortion atlas is constructed; analyzing temperature abnormal point distribution in the atlas, and generating a local cooling compensation vector; and converting the compensation vector into a heating unit power adjustment instruction by applying a sliding mode control mechanism, and adjusting output power to inhibit paint film deformation. Dynamic balance of the curing temperature of the paint film and temperature range compression are realized, and the deformation defect of the paint film is eliminated.

The invention relates to the field of data processing, in particular to a model optimization method and a related device. The method comprises the steps of obtaining a to-be-optimized first model; the first model is a neural network model meeting a preset optimization condition; the preset optimization condition is determined based on the type of the first model; performing adaptive quantization processing on a to-be-optimized structure in the first model to obtain a second model; wherein different quantization factors are adopted for different to-be-optimized structures in the adaptive quantization processing, and the quantization factors are obtained through adaptive calculation of characteristic values contained in the to-be-optimized structures; performing mixed precision decomposition on the second model to obtain a first decomposition model containing abnormal characteristic values and a second decomposition model containing non-abnormal characteristic values; and respectively optimizing the first decomposition model and the second decomposition model according to a preset strategy, and fusing optimization results into a final output third model. The method can improve the model quantification precision, reduce the occupied space of the model and improve the model processing efficiency.

The invention belongs to the technical field of two-way cartridge valves, and particularly relates to a large-flow two-way cut-off two-way cartridge valve based on quantitative control, which comprises a main valve, a pilot electromagnetic valve, a cover plate, a first one-way valve and a second one-way valve, the main valve comprises a main valve sleeve, a main valve core, a main valve spring and a cover pad; the pilot electromagnetic valve comprises a pilot valve sleeve, a pilot valve element, a pilot reset spring, a pilot cone valve element, an armature, a threaded sleeve and a coil. A first working opening and a second working opening are formed in the side face and the bottom of the main valve respectively, the main valve element is arranged in an axial hole of the main valve sleeve, the cover gasket is arranged at one end of the main valve sleeve, the main valve spring is arranged in an inner hole of the main valve element, and the cover plate is fixedly installed at the upper end of the cover gasket. The device solves the problem that the quantitative release effect is influenced by low release amount precision during quantitative release due to the fact that an existing two-way cut-off two-way cartridge valve is large in leakage after being used for a long time, cannot play a role in pressure maintaining and is slow in response time.

This invention relates to the field of atmospheric particulate matter analysis and discloses a deep learning-based method for calibrating organic aerosol concentrations. This invention addresses the technical problems in existing organic aerosol concentration calibration techniques, such as insufficient utilization of multi-source information, inadequate use of temporal evolution information, and fixed feature fusion methods lacking dynamic weight adjustment. By leveraging multi-source observation vectors, it fully utilizes observation information from different physical properties to establish a stable nonlinear mapping relationship under complex atmospheric conditions and mixed aerosol backgrounds. Through multi-source observation features and historical state features, the model can characterize the dynamic evolution of organic aerosol concentrations. Employing a bidirectional long short-term memory network and SE attention mechanism to process multi-source observation features and historical state features, it can automatically learn and dynamically adjust the importance weights of feature channels, effectively suppressing noise and redundant feature interference. Furthermore, it utilizes forward and backward time-series modeling to fully capture the contextual relationships between consecutive time points.

The invention discloses a fully plastic pistol spray pump, comprising a pump body, a lock cover connected to the lower part of the pump body, a liquid spray channel arranged in the pump body, a nozzle arranged at the outlet of the liquid spray channel, a liquid outlet channel and a liquid inlet channel separated up and down arranged in the pump body, wherein the liquid outlet channel is connected with the liquid spray channel, a liquid introduction cavity is arranged at the sides of the liquid outlet channel and the liquid inlet channel, the upper part of the liquid introduction cavity is always connected with the liquid outlet channel through a normal opening, a suction plug is arranged in the liquid introduction cavity, a trigger which can drive the suction plug to make left and right piston movement in the liquid introduction cavity is hingedly connected to the pump body, an elastic arm which can press on the pump body and drive the trigger to drive the suction plug to reset, a lateral one-way valve which can be opened to connect the liquid introduction cavity and the liquid inlet channel when the suction plug resets is arranged between the liquid introduction cavity and the liquid inlet channel, and the pump has the characteristics of simple structure, high liquid introduction efficiency, and can fully utilize the solution sucked into the liquid introduction cavity by the pump.

The present application relates to the technical field of urban intelligent traffic control, and discloses a method for calculating the three-level utilization rate of reserved bus lanes and identifying space-time resources, aiming to solve the problems of rough resource quantification, fuzzy identification of residual space-time resources, and lack of theoretical basis for reservation of road rights. The steps of the present application are as follows: S1, based on the virtual occupation space of buses, discretize the bus lane into three levels of space, i.e. grid, road section and route, and construct a digital road network; S2, fuse bus GPS trajectory, signal timing and traffic flow data to analyze the space-time law of vehicle operation; S3, calculate the utilization rate of bus lanes step by step; S4, identify the residual space-time resources according to the utilization rate to provide support for dynamic allocation of reservation road rights. The present application realizes fine quantification and dynamic identification of lane resources, guarantees bus priority while improving lane utilization rate, provides data support for reservation of road rights, and is suitable for intelligent control and road right optimization of urban reserved bus priority lanes.

The utility model relates to the technical field of disinfection dosing, in particular to a disinfection quantitative dosing device. The disinfection quantitative dosing device comprises a base, a dosing shell is fixedly installed on the base through a support, a rotating disc in rotating connection is installed in the dosing shell, and a plurality of quantitative cavities distributed annularly and radially are formed in the outer ring wall of the rotating disc; and an intermittent driving piece for driving the rotating disc to intermittently rotate for feeding is mounted on the rotating disc on the back plate. According to the quantitative dosing device for disinfection, provided by the utility model, the radial quantitative cavities which are annularly distributed are designed on the rotating disc, the volume of each cavity is fixed, and the intermittent driving part is matched to ensure that only one station is moved during rotation each time, so that the dosage height of medicaments falling into the discharge pipe each time is consistent, and the quantitative precision is remarkably improved; and the obvious influence of material level and fluidity fluctuation is avoided.

The application discloses a kind of quantitative methods of migratory birds based on dual-polarized weather radar and bird detection radar.The application is jointly observed by dual-polarized weather radar and bird detection radar, carefully selects the original observation data of the two radars, eliminates the false alarm and clutter track of the bird detection radar, eliminates the meteorological echo and insect echo of the polarization weather radar, then constructs effective quantitative relationship using the data in the airspace monitored jointly, the present method carefully considers the observation airspace of different radars, has higher quantitative accuracy, and is more suitable for China.

The utility model discloses a kind of sodium caseinate is used to quantitative loading device, it belongs to quantitative equipment technical field, including anchoring structure, its upper surface one side fixedly connected pipe valve stable structure, pipe valve stable structure is fixedly connected three-way branch ware in, anchoring structure upper surface other side fixedly connected reciprocating power module cabin, reciprocating power module cabin inner wall one side rotationally connected adjustable phase driving disc, three-way branch ware one side fixedly connected quantitative assembly, reciprocating power module cabin upper surface fixedly connected sterile raw material bin, sterile raw material bin upper surface fixedly connected flow state flow guide dome.The utility model is through setting quantitative assembly, ensure that the amount of dairy product that is inhaled from sterile raw material bin and pushed to soft package each time is constant, to improve the quantitative accuracy of packaging, while device operation process is simple and clear, reduce operation difficulty and labor cost, improve production efficiency, quickly, accurately complete the filling work of a large number of soft package, satisfy production line demand.

An automatic charging machine for combined firework production relates to the technical field of combined firework production and comprises a charging box, a supporting frame is fixed to the side face of the charging box, a PLC is installed on the side face of the supporting frame, a rotating roller is rotatably connected to the inner side of the charging box through a bearing, and quantitative grooves are evenly formed in the rotating roller. A quantitative groove is formed in the upper portion of the charging box, a discharging auxiliary unit is installed on the inner side of the quantitative groove, a feeding hopper communicated with the interior of the quantitative groove is fixed to the top of the charging box, a plurality of charging pipes communicated with the interior of the quantitative groove are fixed to the bottom of the charging box, and a driving mechanism for driving a rotating roller to rotate is installed on the side face of the feeding hopper. The charging quantity of each time is kept consistent, the quantitative precision of combined firework charging is improved, the stability of the product quality is ensured, meanwhile, charging operation can be carried out on a plurality of firework cylinders at a time, and therefore the production efficiency is improved.

The application provides a voltage deviation detection circuit and a voltage regulation system. An offset power supply is coupled to a reference voltage module and a feedback voltage module to output a first voltage or a reference voltage at a first voltage output end and output a second voltage or a feedback voltage at a second voltage output end. The first voltage is obtained by superimposing an offset voltage on the reference voltage, and the second voltage is obtained by superimposing an offset voltage on the feedback voltage. By coupling the offset power supply to the reference voltage module and the feedback voltage module, the first voltage or the reference voltage is output at the first voltage output end, and the second voltage or the feedback voltage is output at the second voltage output end. The similar value of the feedback voltage generated by using a buffer structure is avoided, thereby avoiding the introduction of non-ideal factors, improving the quantization accuracy of the difference between the reference voltage and the feedback voltage, and further improving the accuracy of the output voltage.

The utility model discloses a quantitative fertilizer applying device for cumin planting, which belongs to the technical field of auxiliary equipment for agricultural planting and comprises a movable box body for applying fertilizer for cumin planting and a crushing box for crushing hardened fertilizer, and two driving motors for providing power are connected to the side wall of the crushing box through screws. An output shaft of the driving motor penetrates through the side wall of the crushing box to be connected with one end of a crushing roller, the end of the crushing roller is rotationally connected to the inner wall of the crushing box, a feeding hopper facilitating fertilizer feeding is arranged at the top of the crushing box, and a material groove facilitating discharging is formed in the bottom of the crushing box; a material storage groove facilitating storage is formed in one end of the inner wall of the box body and communicates with the material groove through a pipeline, an arc-shaped arc plate facilitating material gathering is arranged at the bottom of the material storage groove, and a material gathering groove facilitating waste conveying is formed below the arc plate. The device not only can crush hardened fertilizer, but also can further improve the quantitative standard, and the practicability of the device is improved.

The utility model relates to a clay-shaped material quantitative discharging device, and relates to the technical field of cosmetic production equipment.The clay-shaped material quantitative discharging device comprises a rack, a material storage tank, a pressing assembly and a cutting assembly, the material storage tank, the pressing assembly and the cutting assembly are arranged on the rack, the bottom of the material storage tank is connected with a discharging pipe head, and the pressing assembly is arranged at the top of the material storage tank; the pressing assembly is located on one side of the discharging pipe head and used for pressing materials towards the interior of the storage tank, and the cutting assembly is located on one side of the discharging pipe head and used for cutting off the materials extruded out of the discharging pipe head. The material quantitative distribution device has the effect of improving the material quantitative distribution precision.

The application discloses an industrial process oscillation monitoring method and device based on a visual-frequency dual-mode fusion network, and relates to the field of control loop oscillation detection. The method comprises the following steps: obtaining process data output by an industrial process loop to be detected; obtaining frequency domain data and visual data according to the process data; inputting the frequency domain data and the visual data into a trained visual-frequency dual-mode fusion network to detect an oscillation type and quantify an oscillation intensity; wherein the visual-frequency dual-mode fusion network comprises an oscillation detection network and an oscillation quantification network; the network structures of the oscillation detection network and the oscillation quantification network are the same, and the activation functions adopted by the oscillation detection network and the oscillation quantification network are different; the oscillation type comprises non-oscillation, regular oscillation and irregular oscillation, and the quantification result comprises a period number value, a sparsity value and a regularity value. The application improves the precision of oscillation detection and the quantification precision of oscillation intensity in an industrial control loop process.

The invention discloses a two-stage long tail compensation logarithmic quantization method of ViTs, which comprises the following steps of: performing adaptive compensation long tail enhancement, adopting different processing strategies for activation values of different parts through an adaptive operator, and dynamically dividing the activation values into two parts according to the adaptive operator obtained during calibration: one part is a value close to a zero point, and the other part is a value close to a zero point; high quantization precision is kept in the first logarithmic quantization process; the other part is distributed in a long-tail area and is quantized through second-time self-adaptive compensation; the method comprises the following steps of: performing long tail enhancement with efficient displacement, performing re-parameterization on a scaling factor through a # imgabs0 # quantizer with efficient displacement, and converting a logarithm cardinal number into 2 so as to complete efficient displacement slave operation in a reasoning process. For long-tail sparse distribution of ViTs activation values, a universal non-uniform quantization method is provided, the method is suitable for all components in a Transform block, and the applicability and precision of quantization are effectively improved.

The present invention discloses a medium-wave infrared polarized radiation source with adjustable polarization degree and a polarization degree measurement method, which belong to the field of photoelectric detection. The present invention places a medium-wave infrared polarizer in a variable temperature transmission bracket, uses liquid inert gas to cool the variable temperature transmission bracket and the medium-wave infrared polarizer inside it, and modulates the proportion of completely polarized radiation components in the total radiation of the polarized radiation source by changing the temperature of the black body source and the variable temperature transmission bracket, thereby realizing adjustable polarization degree of the medium-wave infrared polarized radiation source. At the same time, lowering the temperature of the variable temperature chamber of the variable temperature transmission bracket can effectively reduce the negative interference of the spontaneous radiation of the medium-wave infrared polarizer and the stray light of the variable temperature transmission bracket, and improve the modulation accuracy of the polarization degree of the output light of the radiation source. According to the polarization degree measurement result, the functional relationship between the polarization degree of the output light field of the polarized radiation source and the temperature of the black body source and the temperature of the variable temperature transmission bracket is calibrated; according to the calibrated functional relationship, the polarization degree of the medium-wave infrared polarized radiation source with adjustable polarization degree and temperature control is predicted.

The invention discloses a meat freshness rapid detection device, and belongs to the technical field of food nondestructive detection. The device aims at solving the problems that existing detection equipment is poor in portability and difficult to use on site, the detection range is limited due to single excitation wavelength, and the detection process depends on manual operation and is insufficient in intelligence. According to the technical scheme, the device is characterized by comprising a sample placement area, an annular multi-wavelength excitation light source module, a spectrum acquisition module, a single-chip microcomputer module, a Bluetooth module and a power supply and discharge module which are integrated in a device shell; the external intelligent terminal is provided with detection analysis software, and the software controls the excitation of the LED lamp beads with specific wavelengths through the Bluetooth module, automatically identifies the type of the freshness indication label based on the collected spectral characteristics, and calls a corresponding prediction model to calculate the freshness index. The device is mainly used for carrying out rapid and portable on-site detection on meat samples with freshness indication labels.

The application discloses a formaldehyde concentration detection method based on image recognition and relates to the technical field of formaldehyde concentration detection.The method comprises the following steps: S1, standard solution color development: taking nine colorimetric tubes with consistent specifications, preparing different concentration standard formaldehyde solutions in each colorimetric tube, and adding a color developing solution to develop color. The formaldehyde concentration detection method based on image recognition does not need to rely on large laboratory equipment such as a spectrophotometer, but can complete detection only through standardized image acquisition and an AI model, supports on-site instant operation, greatly improves detection portability and scene adaptability, meets the requirements of rapid detection in multiple scenes such as indoor and in-vehicle scenes, and avoids interference factors such as manual colorimetry, operation methods and environmental illumination through a standardized color development, image acquisition and AI correction process, and the model is optimized with mean square error and mean absolute error as core indexes.

A kind of multi-threshold phase encoding-based all-optical quantization system belongs to all-optical analog-digital conversion field.It includes high repetition frequency femtosecond pulse light source,1×M optical splitter,phase-shifted optical quantization module, soliton self-frequency shift module and multi-threshold encoding module;The phase-shifted optical quantization module is M-path electro-optic modulator;The soliton self-frequency shift module includes first M-path high nonlinear fiber,M-path single-mode fiber and second M-path high nonlinear fiber;The multi-threshold encoding module includes M wavelength division multiplexer,M×N optical delay line array,M×N photodetector array and encoding module.The present application uses multi-threshold encoding module of phase encoding,realizes simultaneous judgment of multiple threshold points on power transmission curve of M electro-optic modulators, solves code type repetition problem of all-optical quantization system,realizes more effective quantization states with less channel number,improves quantization precision.Meanwhile,quantization bit number of the present application is improved to log2(2MN).

The invention belongs to the technical field of laser precision detection, and discloses an aluminum alloy corrosion degree laser probe quantitative detection method and a sampling device.The detection method comprises the steps that microporous filter paper is placed at the sampling position of aluminum alloy and subjected to standing corrosion for preset time so as to transfer out elements to be detected in the aluminum alloy, and the microporous filter paper contains prefabricated corrosion liquid; fixing microporous filter paper on a pure silicon glass slide, and airing to obtain a sample to be detected; scanning the surface of the microporous filter paper of the to-be-detected sample by the laser beam to obtain spectral data of the to-be-detected element; and after optimizing the spectral data, constructing a mapping relation between the laser plasma spectral characteristic signal and the corrosion degree of the aluminum alloy by utilizing a machine learning algorithm so as to obtain a corrosion degree value of the aluminum alloy. The sampling device comprises microporous filter paper and a pure silicon glass slide which can be fixed into a whole, and an anti-corrosion sealing box used for containing the microporous filter paper and the pure silicon glass slide. The detection efficiency, the analysis precision and the result reliability of quantitative detection of the laser probe can be improved.

The application discloses a gradient and precision self-adaptive weighted federated learning fairness optimization method and system. In view of the problems of uneven model performance distribution among clients and large communication overhead of traditional federated learning in a heterogeneous environment, an information amount weighting mechanism is constructed based on the training accuracy and participation frequency of the clients on the server side, the aggregation weight of the clients is dynamically determined, the aggregation weight is used for weighted aggregation of the client gradient, the adaptive weighting of the client gradient is realized, and the performance fairness is improved. Meanwhile, the global quantization precision is adaptively adjusted according to the global loss change in the training process, and the corresponding local quantization precision is distributed according to the client aggregation weight, so that the communication overhead is reduced under the premise of ensuring the model performance. The application realizes the joint optimization of federated learning fairness and communication compression, can effectively alleviate the uneven performance problem among the clients, and improves the communication efficiency of the federated learning system.

The utility model discloses a quantitative feeding device for conductive master batch granulation processing, and belongs to the technical field of conductive master batch granulation. The quantitative feeding device for conductive master batch granulation processing comprises a storage tank, a feeding hopper is installed on one side of the top end of the storage tank, a supporting frame is installed on the outer side of the storage tank, three supporting columns are installed at the bottom end of the supporting frame, a discharging opening is formed in one side of the bottom end of the storage tank, a discharging mechanism is arranged in the storage tank, and a collecting hopper is arranged at the bottom end of the discharging opening. A pair of hinges is installed on one side of the bottom end of the collecting hopper, a bottom plate is installed at the bottom ends of the hinges, an electronic scale is installed at the bottom end of the bottom plate, a supporting plate is installed at the bottom end of the electronic scale, a connecting column is installed on one side of the top end of the supporting plate, and the top end of the connecting column is fixedly connected with the bottom end of the storage tank. The quantitative accuracy is improved, and the practical value is relatively high.

This invention provides a drug nebulization device and method, relating to the field of medical device technology. It includes a housing, within which a reciprocating motor, a transmission connector, and a negative pressure generator are housed. The cylinder of the negative pressure generator is connected to a suction tube with a one-way valve and an outlet tube. The suction tube extends into the drug receiving area, and the outlet tube connects to the nebulizer. The device also includes a drug bottle fixing device, a drug inlet / outlet, a detachable mask, a handle with a built-in battery compartment, a nebulization button, a positioning device, and an audible alarm. The nebulization method is as follows: the drug bottle is placed and fixed, the reciprocating motor is started, driving a piston to reciprocate. The change in cylinder volume, combined with the one-way valve, achieves negative pressure quantitative drug intake and positive pressure delivery of the drug solution for nebulization. After operation, the piston returns to its original position. This invention relies on motor drive to replace manual energy storage, making operation simple, providing accurate drug dosage, stable transmission, and also featuring a device location function, resulting in excellent overall performance.

The invention provides a forage grass seed quantitative subpackaging device, and relates to the technical field of seed subpackaging, the forage grass seed quantitative subpackaging device comprises a subpackaging assembly and a conveying assembly, the subpackaging assembly comprises a machine box, a containing hopper used for containing forage grass seeds is fixed to the top end of the machine box, a quantitative discharging mechanism is arranged in the machine box and used for forage grass seed quantitative subpackaging, and a material returning mechanism is arranged on one side of the machine box. The quantitative discharging mechanism comprises a discharging pipe arranged in the machine box, a blanking pipe is fixed to the top end of the discharging pipe, a weighing part is fixed to the bottom end of the discharging pipe and comprises a box body and a baffle fixed to the outer side of the box body, and the box body and the baffle are both arranged at the bottom end of the discharging pipe; a movable block is arranged in the box body in a sliding mode, a protruding part is arranged at the bottom end of the movable block, and at least one weighing mechanism is arranged in the box body and located on the outer side of the protruding part. The device is high in seed quantification precision and high in subpackaging efficiency.

The application relates to a lubricating oil precise quantitative control system, which comprises an oil tank, a hose and a PLC controller. An oil pump is arranged in the oil tank. A pressure sensor is arranged at the output end of the oil pump and connected with two oil conveying pipes arranged at the bottom of the oil tank through a shunt device. Electromagnetic valves are arranged on the oil conveying pipes respectively. The input end of the hose is connected with the oil conveying pipes, and the output end is connected with a roll opening oil part and a bottom oil part respectively. An electric pinch valve and a dropper are sequentially arranged on the hose. The visual oil quantity control pipeline can realize real-time and direct observation of the conveying state of the lubricating oil, and timely adjustment can be carried out. The point-drip infusion type structure can realize precise quantitative control of the lubricating oil, effectively avoid the continuous conveying of the residual oil in the oil pipe after starting and stopping, cause the oil quantity to be excessive, ensure that the product will not cause bad use experience due to the lubricating oil residue when delivered to consumers, improve the overall quality and user satisfaction of the product, and improve the production efficiency and reduce the production cost, so that good economic benefits and social benefits are achieved.

The invention discloses a material elastic constant array ultrasonic in-situ detection method, and belongs to the technical field of ultrasonic nondestructive testing and material characterization. The method comprises the following steps: carrying out primary orthogonal coding data acquisition on a detected material, determining a refraction point under a preset elastic anisotropy constant C of the detected material based on the Fermat theorem, and carrying out delayed superposition imaging on a reflector in a target area of the detected material by adopting a synthetic aperture focusing or full-focusing algorithm, and calculating the ratio F (C) of the maximum amplitude value of the synthetic image to the entropy value of the image as an evaluation objective function, and obtaining an optimal elastic constant corresponding to the global maximum value of the F (C) by adopting optimization tools such as a genetic algorithm, namely the elastic constant of the detected material. The array ultrasonic device is used for one-time orthogonal coding data acquisition, the detected material and the ultrasonic probe do not need to be moved or rotated for many times, the detection efficiency is improved, the method is not affected by the parallelism and thickness uniformity of the surface interface of the detected material, and in-situ, lossless and rapid detection of the elastic constant of the complex component in a service environment can be achieved.