167results about How to "Improve collection quality" patented technology

The invention provides an electron microscope automatic focusing method and system based on a deep learning model, and relates to the technical field of electron microscope automatic focusing, and the method comprises the steps: collecting a plurality of images at different focusing distances through an electron microscope, and recording the focusing distance of each image; calculating the characteristic value of each collected image, combining the focusing distance and the characteristic value of the image into a characteristic vector, and generating a characteristic sequence according to the characteristic vectors obtained under different focusing distances; training a pre-constructed neural network model by using the feature sequence to obtain a trained neural network model; and inputting a to-be-tested image into the trained neural network model, calculating a difference value between the predicted optimal focusing distance and the focusing distance of the collected image, and judging whether the difference value is within a set range or not. According to the invention, the microscopic image acquisition efficiency and quality are obviously improved.

The invention discloses a wireless wearable high-speed emotion detection brain-computer interaction system, which comprises a scalp electroencephalogram acquisition module, a real-time scalp impedance intelligent monitoring self-adaptive module, a signal transmission module, a cloud platform calculation module, a terminal display module and an internet-of-things equipment interaction linkage module. By reducing scalp impedance and optimizing electrode design and a signal processing algorithm, the electroencephalogram signal acquisition quality is effectively improved, noise and interference are reduced, signals are clearer and more accurate, a dry electrode and wireless transmission technology is adopted, an electroencephalogram signal acquisition system is more portable, a user can acquire electroencephalogram signals in different scenes, and the user experience is improved. Daily use and mobile monitoring are facilitated, the cloud platform has strong parallel processing capacity, a large amount of electroencephalogram signal data can be processed and analyzed in real time, and the accuracy and efficiency of data analysis are improved in combination with the machine learning technology.

The invention is suitable for the technical field of lighting equipment, and provides a miner lamp dynamic lighting control method and system, a storage medium and a miner lamp, and the method comprises the steps: collecting the current image data of the current environment, and extracting the actual illumination intensity distribution in the current image data; performing image decomposition on the collected current image data to obtain a reflection component and an illumination component, performing reflection enhancement on the reflection component, and performing illumination adjustment on the illumination component; re-synthesizing the reflection component after reflection enhancement and the illumination component after illumination adjustment to obtain target image data, and extracting target illumination intensity distribution in the target image data; and according to the actual illumination intensity distribution in the current image data and the target illumination intensity distribution in the target image data, dynamically adjusting the illumination brightness of each group of light sources in the mine lamp. According to the invention, the problem that the illumination quality and the image acquisition quality are poor under the existing low-illumination condition is solved.

The invention belongs to the technical field of data analysis, and discloses a clinical data analysis method and system for a hematologic tumor patient. The method comprises the following steps: creating an OPC UA information instance of a clinical data acquisition device, and constructing a blood tumor knowledge graph, a clinical data analysis model and a data acquisition optimization model; collecting real-time clinical data of a hematologic tumor patient, encrypting and uploading the real-time clinical data to the cloud data center; writing the real-time clinical data into the corresponding OPC UA information instance, and extracting real-time OPC UA information data; according to the real-time OPC UA information data and the blood tumor knowledge map, using a clinical data analysis model to perform clinical data analysis; and performing data acquisition optimization by using the data acquisition optimization model according to a real-time clinical data analysis result. According to the invention, the problems of insufficient accuracy, low data processing efficiency and low intelligent degree in the prior art are solved.

The invention discloses a data collection method and device based on an unmanned aerial vehicle, a medium and a product, and relates to the field of unmanned aerial vehicle data collection, and the method is realized based on an instruction-level data service bus. The method comprises the following steps: automatically adapting to a lightweight communication protocol based on a multi-source heterogeneous system access control module, and carrying out real-time adaptive access of an unmanned aerial vehicle system; performing full-duplex communication monitoring on the unmanned aerial vehicle system; management and control are carried out according to the monitoring result; based on the received communication information type of the unmanned aerial vehicle system, instruction / data transmission logic channels are adopted, and different logic channels are automatically distributed; according to the received communication information, a data processing and analyzing module is adopted to carry out data processing; and according to the data application service gateway, the data packet set is packaged and published as an application service for the unmanned aerial vehicle to collect data. According to the invention, control management of data collection by using the unmanned aerial vehicle is realized, and the unmanned aerial vehicle can effectively, safely and reliably collect data in real time.

The invention discloses an engineering building construction quality analysis system and method based on data processing, and relates to the technical field of construction quality analysis, the system comprises an index and model building unit, a path planning and data acquisition unit, a model training and optimization unit and a real-time evaluation and quality analysis unit; wherein the index and model construction unit is used for determining a quality detection index of a building main body and constructing a quality detection model; the path planning and data acquisition unit is used for optimizing a cruise path by using a guide search algorithm and controlling the unmanned aerial vehicle to acquire construction site data; the model training and optimizing unit is used for optimizing the quality detection model by utilizing a game chess algorithm; and the real-time evaluation and quality analysis unit is used for evaluating the acquired data in real time by using the optimized model and generating a construction quality analysis report. The game chess algorithm is combined with the unmanned aerial vehicle technology, and the speed and accuracy of processing complex construction data are improved.

The invention discloses a multi-degree-of-freedom part image automatic acquisition method and an acquisition device, primary image acquisition is completed manually, and when the device acquires part images for the first time, a system records key node attitude data such as the current position of each movement mechanism of a clamp, the angle of a camera, the position of a light source and the like. The attitude data is stored in a control system and is used as attitude reference of subsequent same or similar parts. When the same part is collected for multiple times subsequently or similar parts are collected for similar parts, the system can directly call the stored posture data, and the parts and the camera are automatically adjusted to the recorded optimal relative positions. According to the invention, stable and high-quality automatic image acquisition of each surface of the part can be realized, the consistency of multiple acquisition is ensured, and efficient online detection is realized.

The invention discloses a micro-plastic collection device for rural domestic sewage, and belongs to the field of micro-plastic collection, the micro-plastic collection device comprises a treatment tank, a guide plate is fixedly connected to the inner surface of the treatment tank, a feeding pipe is fixedly connected to the outer surface of the upper end of the treatment tank, and the lower end of the feeding pipe penetrates to the inner side of the treatment tank; a feeding assembly is arranged on the outer side of the feeding pipe and comprises a rotating sleeve rotationally connected with the outer surface of the feeding pipe, blades are fixedly connected to the outer surface of the rotating sleeve, and a fixing frame is fixedly connected to the inner surface of the rotating sleeve. By arranging the collecting assembly, micro-plastics in sewage can be effectively adsorbed and collected through a porous structure of nano magnetic powder, the nano magnetic powder can have a good adsorption effect on the micro-plastics in different shapes and sheet shapes, meanwhile, the micro-plastics in the sewage are effectively adsorbed and collected through cooperation of the nano magnetic powder and a magnetic roller, and the sewage treatment efficiency is improved. Therefore, the collection quality of the micro-plastics can be effectively improved.

The invention discloses a moving-coil geophone zero-phase corrector based on a state variable shaper. The zero-phase corrector comprises a state variable shaper, a differential-to-single-ended module and a single-ended-to-differential module. After a moving-coil geophone signal is input into a differential signal, the signal is converted into a single-ended signal suitable for filtering through the differential-to-single-ended module, and a high-pass filter, a band-pass filter and a low-pass filter in the state variable shaper correct the phase characteristic of the frequency response of the geophone to a zero-phase attribute. And finally, the single-ended to differential module converts the single-ended signal into a differential signal again and outputs the differential signal. The phase characteristic correction method can be used for phase characteristic correction of differential signals of the moving-coil geophone, low-frequency response can be expanded while the phase is corrected by changing resistance value adjustment, gain stability in the original bandwidth is kept, phase characteristic correction is provided for output of the moving-coil geophone with different frequencies and amplitudes, and the correction precision of the moving-coil geophone is improved. And the accuracy of the detector signal phase is improved.

The invention discloses a water affair internet-of-things platform based on credential information, and relates to a water affair internet-of-things cloud platform, the water affair internet-of-things platform comprises an information acquisition unit, an information analysis unit and an early warning and prediction unit, the information acquisition unit is used for acquiring historical data, real-time data, real-time images and historical images, and the information analysis unit comprises a model establishment module; the method is used for establishing a normal reservoir level model, calculating normal standard flow, calculating normal standard water level, further calculating a flow influence coefficient and a water level influence coefficient, obtaining flow prediction data and water level prediction data, calculating comprehensive water volume data based on the flow prediction data and the water level prediction data, presetting a comprehensive water volume interval, and calculating the normal reservoir level model according to the preset comprehensive water volume interval. And judging the comprehensive water volume data according to the comprehensive water volume interval to generate a flood early warning signal and a drought early warning signal. According to the method, flood and drought early warning is carried out by calculating the comprehensive water volume data, the accuracy and effectiveness of early warning are improved, water level change early warning can be carried out, and the safety of reservoir management is improved.

The invention provides an intelligent security archive management method and system based on big data analysis in the technical field of security archive management, and the method comprises the steps: S1, creating a plurality of data templates, and setting collection parameters; s2, acquiring security data based on the acquisition parameters and preprocessing the security data; s3, analyzing each piece of security data to obtain a classification label, and classifying each piece of security data based on the classification label; s4, matching corresponding data templates for the security data of each category based on the classification labels, and mapping and filling the corresponding data templates with the security data to obtain corresponding security archives; s5, encrypting each security file into a corresponding encrypted file, and storing each encrypted file in a cloud server; and S6, the cloud server decrypts the encrypted archive based on the archive management instruction to obtain the security archive, and adds, deletes, repairs or checks the security archive. The method has the advantages that the reliability, the efficiency and the quality of security file management are greatly improved.

The invention discloses a method and system for improving sorting accuracy based on an AI algorithm sorting line, and relates to the technical field of image sample collection, and the method comprises the steps: obtaining a first original picture of a transported object through a sorting equipment end after the transported object used for target sample collection is determined; the transported object falling on the backflow device is sent to the conveying belt again to be shot, and a second original picture is obtained; and inputting the first or second original picture into the first detection model and the second detection model respectively, and if it is detected that the identification results of the two models of the first or second original picture are inconsistent, expanding the target sample set by using the original picture. By implementing the method, the sample image of the target category of the real production line can be quickly obtained with high quality and low cost, so that the intelligent recognition model carried by the sorting equipment is trained, and the sorting accuracy of the sorting equipment is improved.

The invention relates to an adaptive temperature compensation technique for an electrochemical geophone. Through the combination of frequency response self-calibration and a variable feedback compensator system, a method capable of compensating the frequency response of the detector under different temperature conditions is provided. According to the method, the frequency response of the detector is measured in real time by using a sweep frequency vibration test signal generated by an excitation coil, feedback parameters are updated online through a digital signal processing technology, compensation is performed in a low-frequency band, and meanwhile, a multi-stage series compensation system is introduced to further improve the temperature compensation effect of a high-frequency band. According to the method, the frequency response temperature drift is remarkably reduced, and the acquisition quality and reliability of the seismic data are improved.

The invention discloses a rapid visual positioning method for an industrial robot, and relates to the technical field of rapid positioning of industrial robots, and the method comprises the steps: collecting depth image data and color image data of a target object through an image collection module, and extracting and preprocessing the collected depth image data and color image data through an image processing module; a target detection and recognition module is adopted to analyze the processed depth image data and color image data, feature information of a target object needing to be processed is recognized, and based on the target detection and recognition module, comprehensive adjustment of rapid visual positioning is carried out through a comprehensive positioning adjustment module. And the comprehensive positioning and adjusting module comprises a depth image visual coarse positioning unit, a color image feature recognition and adjusting unit and a comprehensive positioning and adjusting unit, and is used for uploading collected image data to an industrial robot control system terminal.

The utility model discloses a waste water sampling device for environmental monitoring, a collecting bottle is composed of a collecting cylinder and a sealing cover, the sealing cover is in threaded connection with the collecting cylinder, and the top of the sealing cover is in threaded connection with a gas delivery pipe, so that the gas delivery pipe controls the gas pressure in an inner cavity of the collecting bottle. A gas conveying pipe is arranged on a sealing cover in threaded connection with the top of a collecting bottle on a wastewater sampling device, and a valve is mounted on the gas conveying pipe, so that after wastewater enters the collecting bottle, the valve on the gas conveying pipe is opened, and the wastewater pushes a floating plate movably mounted in a connecting cylinder fixedly connected with the bottom of a collecting cylinder to move upwards along a floating groove; a valve on a gas conveying pipe is closed after collection, so that a floating plate on a floating mechanism moves downwards under the pushing of water liquid in a collection bottle, the floating plate seals the liquid inlet, and then the waste water is collected through a plurality of liquid discharging holes which are connected with the floating groove. The wastewater collection efficiency and the collection quality of the wastewater sampling device are improved.

This invention relates to an intelligent yarn production drawing frame and its usage method, belonging to the field of yarn processing technology. The drawing frame includes a drawing main unit, a trumpet-shaped guide, a coiler, a guide frame, and a can changing frame. It also includes multiple self-locking clamps detachably mounted on the guide frame and a can rotating base mounted on the can changing frame. The self-locking clamps include an inclined guide base and a wedge block slidably disposed therein. When the yarn passes through the guide base, the wedge block is driven upward by tension. When the tail yarn detaches, the wedge block slides down under gravity to lock the tail yarn, preventing high-speed whipping. The can rotating base includes a rotating disc and a flip-up feed tray. When the weight of the can tilts, the relative position of the coiler outlet and the can is automatically adjusted to ensure uniform yarn accumulation. This drawing frame effectively solves the problems of yarn breakage caused by tail yarn whipping, equipment entanglement, and uneven yarn accumulation caused by can tilting, thus improving production continuity and yarn quality.

The utility model discloses a condensate water recovery device for coconut juice production relates to coconut juice production technical field, including bottom plate, the top of bottom plate is installed with the casing, the inboard bottom of casing all slidingly connected with first collecting box and second collecting box, the inboard bottom fixedly connected with the baffle of casing, the baffle fixedly connected inboard bottom center position of casing, the inboard top of casing is equipped with the traction groove. The utility model adopts above -mentioned structure, and first collecting box can be conducive to the placement of coconut juice water, and the drive heating module can continuously heat first collecting box to high -temperature sterilization of coconut juice water in its inside is carried out, under the unceasing heating, and its coconut juice water will produce a large amount of steam, and its steam will float to the inboard top of casing, and will form condensate water after cooling, and its condensate water will flow through the inclined traction groove, and finally will flow into second collecting box, to reach the relative condensate water recovery effect.

The present application relates to the technical field of agricultural dataset construction, and particularly relates to an agricultural target detection dataset construction method, system and electronic device. The method comprises the following steps: obtaining an initial agricultural target detection dataset based on an agricultural virtual scene; obtaining a trained first model and a trained second model, verifying the trained first model by using a verification dataset to obtain a first verification result, verifying the trained second model by using the verification dataset to obtain a second verification result; when the second verification result is better than the first verification result, optimizing the agricultural virtual scene until a preset condition is met; collecting images of the current agricultural virtual scene to obtain a plurality of target virtual scene images to form a final agricultural target detection dataset. Through continuous feedback optimization of the agricultural virtual scene, the problem of insufficient data in the agricultural scene dataset is solved, and the collection quality is improved.

The embodiment of the invention provides a finger vein collecting device, which comprises a shell, a finger vein collecting device and a finger vein collecting device, the flexible optical sensor is used for performing vein detection on the finger placed in the accommodating groove; the sensing module comprises a first light source and a proximity sensor, the first light source is used for emitting sensing light, and the proximity sensor is used for outputting a first preset signal under the condition that the frequency of reflected light meets a first preset condition; the light supplementing module comprises a second light source used for emitting reinforcing light and an ambient light sensor, and the ambient light sensor is used for outputting a second preset signal under the condition that the intensity of the ambient light meets a second preset condition; the control circuit board is configured to respond to a first preset signal and control the ambient light sensor to be turned on; and in response to a second preset signal, controlling the second light source to be turned on. According to the technical scheme provided by the embodiment of the invention, the infrared light can be intelligently reinforced while the approach of the finger of the user is monitored, so that the acquisition quality of the finger vein image is improved.

The invention belongs to the field of onshore seismic exploration, and particularly relates to a GIS platform and seismic acquisition information linkage method and an excitation point design method and system. The method comprises the following steps: establishing a near-surface stereoscopic model according to a DOM image and a DEM elevation data volume of a target area, exporting various data format templates supported by a GIS platform according to various data formats supported by the GIS platform, sorting seismic acquisition information according to the templates, and importing the sorted seismic acquisition information into the GIS platform to realize information linkage between the GIS platform and the seismic acquisition information; the near-surface three-dimensional model can display the landform of the target area on the GIS platform, and the near-surface three-dimensional model for displaying the landform can accurately correspond to the actual measurement data and the working condition data through the linkage earthquake acquisition real-time information data, so that the landform of the target area can be displayed through the GIS platform. Excitation point design, field real-time workload checking, work progress checking and other operations are visually performed, and excitation point design reasonability, acquired data quality and quality control efficiency are improved.

The invention discloses a multifunctional microscopic imager, and belongs to the technical field of microscopic imaging evidence obtaining equipment, the multifunctional microscopic imager comprises a supporting seat and a workbench movably connected to the surface of the supporting seat, the surface of the workbench is fixedly provided with a mounting sleeve, the mounting sleeve is internally provided with a linear reciprocating motor, and the driving end of the linear reciprocating motor is provided with a mounting plate; the device comprises a mounting plate, a microscopic instrument is mounted on the outer wall of one side of the mounting plate, a mounting box is mounted on the outer wall of one side of the mounting plate, an illuminating lamp is rotationally connected in the mounting box, a stepping motor is mounted on the inner wall of one side of the mounting box, a mounting frame is mounted at the output end of the stepping motor, and a plurality of colored lenses are mounted on the mounting frame. The multifunctional microscopic imager not only can continuously magnify and observe details of cultural relics, but also can absorb redundant light rays to prevent the redundant light rays from influencing cultural relic identification, and can automatically switch light ray colors according to cultural relic identification requirements.

The invention relates to the technical field of electrocardiosignal collection, in particular to a portable electrocardiosignal collection device which comprises a detector body and a sliding turnover assembly, and a plurality of electrode contacts are arranged on the bottom face of the sliding turnover assembly and the bottom face of the detector body. Mounting cylinders are arranged on the outer sides of the electrode contacts, telescopic assemblies are arranged below the mounting cylinders, extrusion wetting assemblies located in the mounting cylinders are arranged above the telescopic assemblies, and communication assemblies are arranged between the extrusion wetting assemblies and the telescopic assemblies; the telescopic assembly comprises a first restraining piece, a second restraining piece is arranged in the first restraining piece, and when the first restraining piece makes contact with the human body and squeezes the human body, the second restraining piece extends, and the squeezing wetting assembly humidifies the electrode contact through the communicating assembly; by arranging the telescopic assembly and the extrusion wetting assembly, the area, connected with the human body, of the electrode contact is in a wet state in the electrocardiogram monitoring process, the impedance of the connecting position is reduced, and the baseline drift phenomenon is avoided.

A method for evaluating and sampling the value of a dataset is disclosed, which aims to reasonably assess the value of the dataset and guide the sampling of high-value datasets. The method first establishes an evaluation model for assessing the value of individual data points and a function to describe the degree of value redundancy among data points. Then, it constructs a value evaluation model for the dataset by comprehensively considering the value of individual data points and the degree of value redundancy among them. Based on this data set value evaluation model, high-value datasets can be sampled from the data sampling space according to user needs. The main application of this invention is to evaluate the value of datasets and sample high-value datasets. It can guide data sampling in data-driven analysis, modeling, and decision-making tasks, thereby improving the quality of datasets and effectively reducing data acquisition costs while ensuring the effectiveness of the target task.

The invention provides an audio optimization method for a video conference and a video conference terminal, and relates to the technical field of video conferences, and the method comprises the steps: carrying out the conventional parameter configuration after responding to a startup instruction; after the conventional parameter configuration is completed, adjusting the angle of the camera according to an adjusting instruction of the user on the angle of the camera; after the conference is detected, capturing a sound source through a microphone to determine the direction of a speaking person; controlling the camera to focus the direction to obtain video data; and uploading the video data. By implementing the method, the interference of standing positions of different persons on audio data acquisition can be reduced, and the overall audio quality of the video conference is improved.

The application discloses a magnetotelluric data processing system suitable for highland and cold conditions, relates to the technical field of data processing, and determines a magnetotelluric acquisition area under highland and cold conditions, arranges a plurality of sensing points in the area, establishes a local communication fence at the sensing points to acquire magnetotelluric data, establishes the distribution relationship of the local communication fence in the magnetotelluric acquisition area, analyzes and determines the position of a data aggregation point, determines all the sensing points around the data aggregation point, establishes the corresponding relationship between the data aggregation point and the surrounding sensing points, adjusts the sensing points based on the corresponding relationship, performs trusted verification on the sensing points initiating data upload applications, establishes a synchronization chain based on the verification result, associates the synchronization chain to a data processing platform for uploading magnetotelluric data, establishes a plurality of categories of processing components to perform data processing on the magnetotelluric data, realizes safe data uploading, and improves the data acquisition and processing efficiency.

The utility model relates to the field of living beef cattle egg collection, and discloses a living cattle egg collection fixing frame which comprises a top frame and a bottom frame which are arranged in parallel, the top frame and the bottom frame are both of a hollow structure, a plurality of side pipes are fixedly connected to the two sides of the bottom end of the top frame and the two sides of the top end of the bottom frame respectively, and rotating rods are rotationally installed on the front sides of the top frame and the bottom frame respectively. The top ends and the bottom ends of the sides, close to each other, of the two rotating rods are fixedly connected with transverse rods correspondingly, a plurality of vertical pipes are arranged between the two transverse rods arranged in parallel in the vertical direction in parallel, a plurality of mounting bases are fixedly connected to the top end of one side of the top frame, and one side of each mounting base is rotationally connected with a connecting bent arm through a rotating shaft. Inclined plug pins distributed in the vertical direction are fixedly installed at the positions, close to the centers of the two rotating rods, of the connecting bent arms, plug bushes matched with the inclined plug pins in an inserted mode are fixedly installed on the outer side and the inner side of the top frame correspondingly, and adjusting assemblies are movably installed on the inner sides of the ends, close to each other, of the top frame and the bottom frame. By means of the structure, the cattle can be conveniently fixed in the process of collecting the eggs of the living cattle.

The present invention relates to the field of power line monitoring technology, and in particular to a power line image comprehensive monitoring device, comprising a power line supervision platform, a monitoring information unit, a time period operation evaluation unit, a monitoring obstacle analysis unit, a control response analysis unit, an image risk analysis unit, a dynamic evaluation unit and an early warning response unit; the present invention ensures the monitoring stability and effectiveness of the monitoring device by analyzing from the working operation angle of the monitoring device, and under the premise that the device is normal, performs control response limitation evaluation analysis on the control operation data of the monitoring device in a progressive manner to understand whether the precise control risk of the monitoring device in the process of photographing and monitoring the power line is too high, so as to optimize the management of the control drive components of the monitoring device according to the information feedback situation, and performs image acquisition deviation feedback analysis by information feedback and information fusion to improve the shooting accuracy and acquisition quality during power line monitoring.

The utility model discloses a milk collecting device which comprises a vehicle body, a loading table is installed on the vehicle body, a milk storage barrel is placed on the loading table, an outlet pipe is arranged at the bottom of the milk storage barrel, a limiting structure for limiting movement of the milk storage barrel is arranged on the loading table, a vacuum generating mechanism is further arranged on the loading table, and the vacuum generating mechanism is detachably connected with the milk storage barrel. A collecting hopper is further installed on one side of the loading table, a filter screen and a collecting barrel are detachably installed at the upper end of the collecting hopper, a milk inlet pipe is installed at the bottom of the collecting hopper, the milk inlet pipe is detachably connected with one side of the milk storage barrel, an electromagnetic flow valve is installed on the milk inlet pipe, a control cabinet is installed on one side of the trolley body, and the electromagnetic flow valve is electrically connected with the control cabinet. Milk can be collected in a farm or around the farm, preliminary filtering is performed in the collecting process, meanwhile, the collected milk is metered, the milk collecting process is performed through negative pressure, contact between the milk and the outside is reduced after the milk is collected, and the milk collecting efficiency and quality are improved.

The utility model discloses a visual counting machine in the technical field of counting machines, the counting machine comprises a rack, and a stock bin, a blanking groove, a vibration assembly, a scale hopper and a camera which are arranged on the rack, the vibration assembly comprises an obliquely arranged vibration disc and a driving piece used for driving the vibration disc to vibrate, the high end of the vibration disc is located below the discharging groove, a discharging gap is formed between the high end of the vibration disc and the discharging groove, an adjusting piece used for adjusting the height of the discharging gap is arranged on the discharging groove, an inclined sliding groove is further formed in the machine frame, the high end of the sliding groove is located below the low end of the vibration disc, and the low end of the sliding groove extends to the position over the scale hopper. The particle counting machine can be suitable for materials with different particle sizes, can eliminate the influence of vibration on the particle falling speed and track, can adjust the discharging speed, and is matched with a light supplementing measure and the like, so that the image acquisition effect, the counting precision, the counting efficiency and the like are obviously improved.

The invention provides a data acquisition optimization method, system, device, equipment and program product, and relates to the technical field of intelligent driving. The method comprises the steps that a data collection log is obtained, and the data collection log comprises vehicle intelligent driving data collected based on a data collection demand; determining the data subscription of each log type according to the data acquisition log; obtaining a data subscription strategy optimized according to the data subscription amount of each log type; and adjusting the data acquisition demand based on the optimized data subscription strategy. The problem that in the prior art, intelligent driving data collection efficiency and quality are insufficient is solved.