106results about How to "Reduce collection" patented technology

The invention relates to the technical field of electric power design, in particular to an intelligent dispatching system of a transformer area power supply grid. According to the method, a self-adaptive sampling strategy of real-time load fluctuation and distributed energy output characteristics is adopted; when the system detects the rapid change or abnormal fluctuation of the load, the data acquisition frequency is automatically improved, so that the capture of key information is ensured; when the load is stable, the sampling frequency is reduced, and the collection of redundant data is reduced; adaptive sampling can dynamically adjust the acquisition frequency, it is guaranteed that important data are not lost at the critical moment, and meanwhile the system burden is reduced; a hierarchical data processing architecture is adopted, data processing is divided into an edge layer and a cloud layer, the edge layer is responsible for conducting primary processing on data collected in a transformer area, including denoising, feature extraction and the like, and the data quality is guaranteed; only the key data subjected to primary processing is uploaded to a cloud end for data analysis and decision optimization; therefore, the burden of data transmission and processing is reduced, and the real-time response capability of the scheduling system is improved.

The invention provides a stock bin grating blockage detection and automatic crushing motion control system based on machine vision, and relates to the field of image data processing, and the system comprises a blockage sensing module which is used for obtaining object sensing data of a stock bin grating based on infrared rays, and judging whether the stock bin grating is blocked or not; the image acquisition module is used for acquiring an image of the storage bin grid according to the object sensing data of the storage bin grid when the blockage sensing module judges that the storage bin grid is blocked; the blockage recognition module is used for judging whether blockage occurs on the stock bin grating according to the image of the stock bin grating and the object sensing data, and determining blockage information of the stock bin grating according to the image of the stock bin grating and the object sensing data when judging that blockage occurs on the stock bin grating; and the ore crushing module is used for generating a crushing scheme according to the blockage information of the stock bin grating and controlling an ore crushing mechanical arm to crush the ore according to the crushing scheme, and the device has the advantage that automatic detection and crushing of blockage of the stock bin grating are achieved.

The invention relates to an impact load identification method and device, electronic equipment and a storage medium, and belongs to the technical field of mechanical system state monitoring, and the method comprises the steps: obtaining a modal parameter and a vibration mode matrix of target equipment, obtaining an impact acceleration response signal when the target equipment is subjected to the impact action of an impact load, and outputting the impact acceleration response signal; only the impact acceleration response signal needs to be collected, so that the collection of data volume is reduced; further, decomposing the impact acceleration response signal to obtain a plurality of modal accelerations; the impact load is positioned according to the multiple modal accelerations, the modal parameters and the vibration mode matrix, and action position information is obtained; according to the action position information, the time history of the impact load is obtained, due to the fact that the collected data amount is reduced, the calculated amount is also reduced, the calculation time of the action position information and the time history of the impact load is also reduced, and the calculation efficiency is improved.

The invention discloses a centrifugal single-material photocuring 3D printing method and equipment. The equipment comprises a printer body, a rotating motor, a cleaning tank and a post-curing heat treatment tank; the rotating motor is fixedly connected with a printing platform of the printer body and used for driving the printing platform to rotate. A resin tank of the printer body is detachably arranged below the printing platform; the cleaning tank can be arranged at the station of the resin tank, so that after the rotary motor drives the printing platform to rotate to complete centrifugal operation and remove the resin tank, the cleaning tank can be arranged at the station, and the printing equipment executes cleaning operation that the cleaning tank is fixed and the printing platform and a printed piece rotate in cleaning liquid; the post-curing heat treatment tank is configured to be arranged at the station so that after the cleaning operation is completed and the cleaning tank is removed, the post-curing heat treatment tank can be arranged at the station for the printing equipment to execute post-curing heat treatment in which the post-curing heat treatment tank is fixed and the printing platform and the printed piece rotate in the post-curing heat treatment tank.

The invention relates to the technical field of metal material detection, and discloses a metal structure surface anti-corrosion quality detection method and system for a water conservancy project, and the method specifically comprises the steps: carrying out actual working condition simulation treatment; performing detection unit grid division on the three-dimensional model of the metal structure sample; extracting detection unit grid division data, performing self-adaptive detection on two working surface anticorrosive coatings of the metal structure sample through a sound wave detection probe, and transmitting detection feedback data to an anticorrosive quality analysis platform; and detecting feedback data of the two working surfaces are extracted, and the anti-corrosion quality of the metal structure sample is evaluated according to the detecting feedback data. And the problems of low detection efficiency caused by insufficient detection accuracy and huge detection data acquisition quantity during the surface anticorrosion quality detection of the metal structure for the water conservancy project are solved.

The invention discloses an indexable blade defect detection method, electronic equipment and a medium. The indexable blade defect detection method comprises the following steps: acquiring normal and defect samples of an indexable blade; constructing an indexable blade defect detection model, and taking indexable blade normal samples as a training set; the training process comprises the following steps of: inputting a normal sample of the indexable blade into a teacher encoder through an input layer, obtaining a first feature vector and a second feature vector through a feature compression module, and respectively inputting the first feature vector and the second feature vector into a first student decoder and a second student decoder; respectively calculating a first similarity between the ith teacher coding vector and the ith vector of the first student decoder and a second similarity between the ith teacher coding vector and the ith vector of the second student decoder; constructing a loss function based on the first and second similarities so as to train a model; inputting the indexable blade defect sample into the model obtained by each round of training, and screening out an optimal model; and obtaining a to-be-detected indexable blade image, inputting the to-be-detected indexable blade image to the optimal indexable blade defect detection model, and judging whether a defect exists or not.

The invention discloses a hydrology and water resource metering, monitoring and early warning visualization method and system, and relates to the technical field of hydrology and water resources, and the system comprises a water body data acquisition module, a data analysis module, a multi-source data integration module and a water body visualization module. The water body data acquisition module is used for monitoring hydrological parameter sets including water level Hi, water flow velocity St, water pressure Pa and soil characteristics # imgabs0 # and lake dam body underwater three-dimensional dot matrix cloud obtained through underwater sonar, and interactively connecting the hydrological parameter sets, the three-dimensional dot matrix cloud and the data analysis module; the data analysis module is used for processing the collected hydrological parameter set and the three-dimensional dot matrix cloud data, warning the processed hydrological parameter set, performing negative feedback adjustment on the monitoring sensor, and transmitting the processed data to the multi-source data integration module and the water body visualization module; possible risks and problems of lake dam body piping can be effectively predicted in time, and potential disaster risks can be reduced.

The invention belongs to the field of fault detection and diagnosis of rotating machinery, and discloses a real-time detection method for an early fault of a rolling bearing. The method comprises the following steps: determining priori knowledge; acquiring N groups of periodic synchronous single-point sampling data; calculating to obtain fault features; accumulating weak fault information contained in the fault features to obtain a bearing fault index; judging whether an early failure occurs or not; and realizing adaptive data acquisition. According to the method, weak fault information contained in fault features is accumulated by using accumulation and CUSUM technologies, the reliability and sensitivity of early fault detection are improved, the data acquisition amount is effectively reduced under the condition that the fault detection reliability is ensured, and then the data transmission, processing and storage costs are reduced.

The invention provides an instant depth acquisition method, a three-dimensional imaging method, equipment and a medium. The method comprises the following steps: acquiring a current-moment first point cloud frame of a to-be-acquired scene and a current-moment first image frame of the to-be-acquired scene; the first point cloud frame comprises first point cloud acquisition and a first depth map; the first image frame comprises a plurality of first target areas; the process of acquiring the point cloud acquisition at the next moment comprises the following steps: carrying out region adaptive scanning and global scanning on a scene to be acquired based on a plurality of first target regions of a first image frame, a first depth map and scanning angle resolutions set by different target regions; acquiring point cloud acquisition at the next moment; and acquiring a depth map at the next moment based on point cloud acquisition at the next moment. According to the method, on the basis of the point cloud and the image frame at the current moment, the point cloud collection and the depth map at the next moment can be obtained in real time, and real-time obtaining and processing of depth information are achieved.

The utility model relates to the technical field of food processing, and discloses meat slicing equipment for food processing, which comprises a meat slicing machine and a collecting component. Meat can be sliced through the meat slicing machine, sliced meat can be collected through the collecting assembly, the limiting block and the collecting box can be fixed through the positioning assembly, the collecting box and the two control blocks can be fixed, and dust particles and other impurities can be prevented from entering the collecting box through the protection assembly. Through the two control blocks and the two matching blocks, the machine body and the collecting box are better connected in an inserted mode, the effects that cut meat slices are conveniently collected, grease on the surfaces of the meat slices can be adsorbed, and dust particles and other impurities are prevented from entering the collecting box are achieved, and the problem that when the meat slices cut by the meat slicing machine are collected, the meat slices are not prone to falling off is solved. And a tray or a collecting box is often required to be held manually, so that the contact between dust particles and other impurities and the sliced meat cannot be reduced.

The invention provides an automatic detection and maintenance method for water conservancy and hydropower equipment, which is applied to an inspection robot and comprises the following steps: acquiring real-time data acquired by the inspection robot; performing feature extraction on the collected data; simulating and constructing a physical environment model according to the extracted feature data, and rendering the physical environment model into an image or data for decision analysis; adjusting the inspection robot to an optimal view angle by sensing a Q function to perform data acquisition; updating the constructed physical environment model according to the data obtained from the optimal view angle; determining a basic strategy based on the updated physical environment model, and formulating or updating an inspection and maintenance strategy in combination with a residual strategy; and the inspection robot executes a corresponding strategy. According to the invention, the accuracy of monitoring and maintenance can be improved, the adaptability of a monitoring system is enhanced, the data acquisition efficiency is improved, and real-time optimization of decisions is realized.

The invention discloses an intelligent line fault detection method for an active power distribution network, and belongs to the technical field of line fault detection, and the method comprises the steps: S1, taking the fault voltage and the voltage fundamental wave of each measurement point of an active power distribution network line as characteristic indexes for judging the operation state of the line; s2, extracting frequency band voltage peak values, inter-phase voltage differences and sixth harmonic components of line measurement points in normal and fault states as fault feature samples; s3, performing data preprocessing; s4, splitting the training set and the test set; s5, inputting the classified data set into a LightGBM (LightGBM) model for classification; s6, combining a plurality of independent decision tree classifiers in the LightGBM to generate a strong classifier; s7, inputting the output value of the strong classifier into the DNN for learning and training; s8, performing fault detection performance evaluation; and S9, outputting a fault detection result. The problems that after a large number of distributed power supplies are connected to the power distribution network, the system topological structure is complex, and line faults are difficult to locate are solved.

The present invention belongs to the field of computer technology, and provides an AIOps-based fault automatic recovery method and system. The method includes: extracting log templates and log parameters from received unstructured original log files, where log parameters are a set of variable values ​​when the program is running, and when extracting the log template, parsing the log entries in the original log file based on a dynamic analysis tree with a fixed depth to obtain the log template; detecting the obtained log template and log parameters, and during the detection, judging whether the log sequence of the log template is abnormal based on an LSTM network, and detecting the log parameters based on a parameter outlier algorithm and a parameter value first-order difference outlier algorithm to identify abnormal log parameters; based on a pre-created expert library, finding matching items corresponding to abnormal log templates and log parameters, and recovering the fault based on the matching item strategy; therefore, the present invention can solve the problem that it is difficult to automatically detect system anomalies through a large number of logs.

The invention discloses a microwave photon instantaneous frequency measurement device and method, belongs to the technical field of microwave photons, and solves the problem that the measurement of the frequency of an ultra-wideband radio frequency signal in the prior art is difficult to meet the requirements of ultra-wideband quick response and low power consumption. Comprising a laser, a modulator, an optical filter, an optical amplifier, a one-to-multiple optical beam splitter, multiple optical channels, an optical detector array and a signal acquisition module which are sequentially connected, and the optical delay differences of the multiple optical channels are sequentially increased; the advantages of ultra-wideband signal processing of the microwave photon technology are utilized, the measured radio frequency signal is modulated in the optical domain, the frequency interval of the measured radio frequency signal is positioned step by step through delay interference of multiple optical channels and threshold judgment of the output power value after interference, the frequency value within a certain precision is obtained, the requirements for signal collection and data processing are lower, and the measurement accuracy is higher. The advantages of real-time processing, electromagnetic interference resistance and the like of microwave photons are exerted, meanwhile, high-speed ultra-wideband radio-frequency signals do not need to be collected and processed, and the equipment quantity and power consumption of the system can be remarkably reduced.

The invention discloses a separated fish egg and larval fish sample collection device, and belongs to the technical field of fish egg collection, the collection device comprises a main body, the main body can be suspended and lifted on a ship side, the main body is provided with a flow path allowing a water body to vertically pass through, the flow path is internally provided with a support and a collection part, and the collection part is provided with a net body surrounding the side face of the support; the lower part of the main body is provided with a screen through which fish eggs and larvae can pass, the lower end of the screen body is provided with a lower connecting pipe, the lower connecting pipe is fixed with the lower part of the bracket, the upper end of the screen body is provided with an upper connecting pipe, the upper connecting pipe can slide along the bracket, the screen body can transversely expand in the direction far away from the bracket, and the upper connecting pipe is provided with a conical wall expanding upwards. According to the invention, the net body can be quickly lowered to the required water depth, and the catching area of the net body is enlarged during recovery, so that the catching performance of plankton is improved.

The invention discloses a method for rapidly measuring INL and DNL parameters of an ADC product applied to ATE, and relates to the field of parameter measurement, ADC product data and environmental parameters are obtained and preprocessed, a three-layer neural network model is configured based on data obtained in S100, error prediction is performed based on an operation result of the three-layer neural network model in S200, and the three-layer neural network model is optimized. S300, complementing ADC product data and adjustment based on the error prediction value obtained in the S300, obtaining complemented data parameters based on the complemented ADC product data, and performing feedback processing based on the complemented data parameters obtained in the S500, performing error prediction and complementation through a neural network model by using a small amount of collected data, significantly reducing the test data collection amount, greatly reducing the test time and cost, and improving the test efficiency. Meanwhile, by complementing and correcting the data of the uncollected part, the precision of the test result is ensured, the method is suitable for ADC products with high integration level and high frequency, and the consistency of the test efficiency and the product performance is effectively improved.

The invention discloses a transient absorption spectrum scanning data validity control and sample state determination method and system, and the method comprises the steps: obtaining a two-dimensional data matrix of multiple times of scanning, carrying out the time zero point alignment and intensity normalization preprocessing, extracting a spectrum vector at a key delay time point, and calculating the spectrum shape similarity to determine the spectrum shape consistency, and constructing a dynamic proportion parameter in a sentry band to judge dynamic trend consistency, and marking abnormal scanning and executing a processing strategy according to the results of the dynamic proportion parameter and the dynamic trend consistency. According to the invention, objective determination of validity of scanning data is realized, spectral distribution form and dynamic behavior change are described, real-time abnormity determination and control in an experiment process are supported, and reliability and repeatability of an experiment result are improved.

The invention relates to the technical field of evaporation control, and discloses a control method for micro-pollution residues of an OLED organic evaporation cavity component. Comprising the following steps: acquiring a screening event, judging whether a micro-pollution residue control requirement is met or not, acquiring residue influence data of OLED evaporation equipment in a sub-interval, predicting a pollution state value of a next sub-interval, identifying target data from the residue influence data, and formulating a micro-pollution control instruction corresponding to the target data; compared with the prior art, the threshold of micro-pollution residue control can be improved, the acquisition amount of irrelevant data is greatly reduced, and meanwhile, a targeted control instruction can be timely and accurately formulated before the phenomenon of micro-pollution residue of the OLED evaporation equipment is about to occur, so that the control accuracy of the OLED evaporation equipment is improved. And it is ensured that the OLED evaporation equipment can be reasonably and timely optimized and controlled before the micro-pollution residual phenomenon occurs, and the micro-pollution residual phenomenon on the cavity component of the OLED evaporation equipment is prevented.

The particle separator comprises an oil baffle ring fixed to an air inlet of a fan shell through a flange ring, the cross section of the oil baffle ring is in a C shape, a center shaft is arranged in the center of the inner side of the oil baffle ring, and one end of the center shaft is in transmission connection with an impeller shaft in the fan through a clutch mechanism. The central shaft is sleeved and fixedly connected with a shaft sleeve, the shaft sleeve is provided with an oil-smoke separation assembly, the air inlet end of the oil baffle ring is provided with a rough filtration mechanism, and the other end of the central shaft is in transmission connection with the rough filtration mechanism; the oil fume separation assembly comprises a mesh support and two oil fume separation meshes, the two oil fume separation meshes are installed on the two sides of the mesh support, a plurality of oil scraping plates are arranged on the outer side edge of the mesh support, an oil leakage opening is formed in the bottom of the oil baffle ring, and the position, corresponding to the oil leakage opening, of the bottom of the oil baffle ring is fixedly connected with an oil receiving box through a bolt assembly. According to the particle separator for the fan, energy loss is reduced, the operation efficiency and durability of the impeller are improved, and the service life of the motor is prolonged.

The present invention provides a detection system for early tumor screening and its application in the preparation of tumor antigen detection products, belonging to the technical field of early tumor screening. The present invention provides the application of a micro-pot array chip combined with micron-sized magnetic beads in the preparation of an ELISA detection product for early tumor screening. The present invention uses micron-sized hydrophilic micro-pots as reaction carriers for ELISA detection, and uses micron-sized magnetic beads to encapsulate capture antibodies used to capture tumor antigens. By limiting the fluorescent groups produced by a single enzyme-catalyzed substrate to an extremely small volume, a high local concentration of fluorescent product molecules is ensured to generate a sufficiently strong optical signal to be detected, thereby realizing the detection of extremely low concentrations of tumor antigens. At the same time, the present invention can reduce the amount of sample collection, such as the amount of blood collection, and the amount of serum required for detection can be achieved by drawing blood from the fingertips, greatly reducing the degree of trauma to the patient.

The present invention provides a filter mechanism, a cabinet air conditioner and a control method thereof, wherein the filter mechanism comprises an upper support, a lower support, and a filter assembly, wherein the upper support and the lower support are used to be connected to a first air duct of the cabinet air conditioner, and the upper support is located above the lower support, the filter assembly is connected between the upper support and the lower support, and the filter assembly can be changed between a first position and a second position, wherein the first position is a position where the filter assembly is located in an air outlet of the cabinet air conditioner, and the second position is a position where the filter assembly is located outside the air outlet, and the air outlet is located on a side housing of the cabinet air conditioner. According to the present invention, the flow area of ​​unfiltered airflow in the air outlet is significantly reduced, and the accumulation of debris in the airflow on the filter can be reduced, and the frequency of cleaning the filter assembly by the user can be reduced.

The invention provides an insulin-like growth factor detection method and kit based on QAMS sampling, and belongs to the technical field of protein biological detection.The insulin-like growth factor detection method comprises the steps that a quantitative absorption microsampler is used for conducting peripheral blood sample collection on a sampling object, and an equivalent dried blood spot sample is obtained; the method comprises the following steps: extracting a supernatant sample containing an insulin-like growth factor internal standard working solution through pretreatment: transferring a dried blood spot sample into a centrifugal tube or a pore plate, adding the prepared insulin-like growth factor internal standard working solution, carrying out ultrasonic treatment, adding an acetonitrile solution containing acetic acid to remove protein, carrying out normal-temperature vortex incubation, adding an ammonia water solution, and carrying out ultrasonic treatment to obtain a supernatant sample containing the insulin-like growth factor internal standard working solution; centrifuging to obtain a supernate sample, and carrying out SPE (Solid Phase Extraction) purification on the extracted supernate sample; and detecting the content of the insulin-like growth factor in the extracted and SPE-purified supernate sample by adopting liquid chromatography-mass spectrometry to obtain the concentration of the insulin-like growth factor. The detection method disclosed by the invention has the advantage of ensuring that the IGF-1 detection concentration is close to the real concentration of a sampled human body.

The utility model relates to the technical field of technological equipment, in particular to a tool clamp for machining a gearbox, which comprises a bottom plate guide rail and a scrap removing device, a first clamp is mounted on the surface of the bottom plate guide rail, a second clamp is mounted on one side, close to the first clamp, of the bottom plate guide rail, and the scrap removing device is arranged on one side of the bottom plate guide rail and comprises a supporting column. The supporting column is fixedly connected with the bottom plate guide rail, the surface of the supporting column is fixedly connected with a magnetic attraction block, the surface of the magnetic attraction block is slidably connected with a sliding block, a threaded hole is formed in the surface of the sliding block, the inner wall of the threaded hole in the surface of the sliding block is in threaded connection with a threaded rod, and one side of the sliding block is fixedly connected with a scraping piece. Scrap iron accumulated on the guide rail can be conveniently adsorbed, the situation that the scrap iron affects sliding of the clamp is reduced, the safety of the device is improved, the clamp can smoothly move conveniently, the stability of the device is improved, and the operation difficulty of the device is reduced.

The present invention belongs to the field of face recognition technology, and specifically discloses a face recognition device, including a camera and a light shielding member, the light shielding member including a light input portion and a light shielding member, the light input portion is arranged on the light input side of the camera, a light input hole is arranged on the light input portion, the light input hole is directly opposite to the lens of the camera, the light input range of the light input hole is smaller than the shooting range of the lens, the light shielding member is arranged along the outer circumference of the light input portion, and the light shielding range of the light shielding member is larger than the shooting range of the lens. By setting the light shielding member, the shooting range of the camera is reduced from the original shooting range of the lens to the light input range of the light input hole of the light input portion, and the light outside the light input range of the light input hole is blocked by the light shielding member to avoid the part of the light from entering the lens, thereby reducing the influence of the light outside the face range on the exposure time, increasing the collection of facial feature information, and improving the face recognition efficiency and recognition accuracy.

The invention discloses a multi-source heterogeneous data acquisition method and system for a construction site, and belongs to the technical field of data processing. The method comprises the following steps: acquiring a data set; analyzing a reason influence coefficient; matching monitoring equipment; analyzing the to-be-sleep index; and controlling the working state of equipment. According to the invention, the reason influence coefficient corresponding to each fault potential reason is analyzed, the matching index between the fault potential factor and the monitoring equipment is obtained, and the to-be-sleep index of the to-be-adjusted monitoring equipment is combined with the reason influence coefficient and the matching index; and controlling the working state of the to-be-monitored monitoring equipment to be sleep or working according to the to-be-sleep index and the set threshold value, thereby improving the resource utilization efficiency, reducing the data processing amount of the monitoring equipment, and solving the problem that in the prior art, a dynamic adjustment mechanism aiming at the construction environment and the real-time requirement is lacked. And the resource utilization efficiency is low.

The invention relates to the technical field of thermal management of pure electric vehicles, in particular to a thermal management control system and method for a fan, a water pump and an air blower of a pure electric vehicle, and a fan, an air blower and a water pump are arranged in the thermal management control system. The optimal energy consumption ratio (COP) is taken as a target, compared with a traditional heat management system, only corresponding assemblies are independently controlled, the requirement for a controller and data collection are reduced, and a control mode is optimized; specifically, input control is conducted according to the environment temperature and the rotating speed of a compressor, a cooperative control method is adopted, all low-pressure assemblies are combined, the optimal energy consumption ratio of each low-pressure assembly is found out, and then cooperative control is conducted. Compared with a traditional control method, the overall structure is simplified, and the overall optimal energy consumption ratio is greatly improved.

The utility model discloses an industrial waste heat inspection system based on a three-dimensional positioning technology. The industrial waste heat inspection system comprises an inspection robot and a PC (Personal Computer), wherein the inspection robot is used for collecting operation information of each device in a waste heat recovery device and monitoring information monitored by a sensor arranged on each device; the PC is provided with a DCS (Distributed Control System); a positioning module and an NFC module are arranged on each of the inspection robot and each device; each device is also provided with a data acquisition module, and the output ends of the data acquisition module and the positioning module on each device are respectively connected with the input end of the NFC module on each device; the inspection robot is further provided with a comparison module connected with the output end of the NFC module on the inspection robot, an inspection controller connected with the output end of the comparison module and the output end of the positioning module arranged on the inspection robot, and a wireless communication module connected with the inspection controller. The PC is provided with a three-dimensional scene module connected with the DCS system. According to the utility model, the workload of waste heat inspection personnel can be reduced, and the inspection efficiency can be improved.

The application discloses a kind of based on hovering underwater vehicle's underwater unknown environment active mapping method, belong to robot environment exploration technical field.The underwater unknown environment active mapping method based on hovering underwater vehicle provided by the application utilizes hovering underwater vehicle to obtain the environmental data of unknown area of ocean in cooperation with sensor, determines the best next viewpoint according to information gain value, and determines the safe and feasible path to the best next viewpoint according to the cost of each adjacent node on the current tree as the parent node when the best next viewpoint is reached.Updating grid map in real time in this way, efficiently, quickly and accurately realize the construction and dynamic updating of map, and then assist underwater vehicle to realize the navigation of target area, and has broad application prospect in underwater environment exploration task and underwater structure inspection based on underwater vehicle and similar tasks.

The present invention relates to the technical field of data acquisition and storage, and discloses a real-time review monitoring and data acquisition and storage system and method. Monitoring data is acquired through a data acquisition module, and the acquisition frequency of the monitoring data is controlled through a dynamic acquisition strategy. The data fusion module performs fusion processing on the acquired monitoring data through a data fusion strategy, and provides more comprehensive monitoring data for subsequent analysis, which is conducive to revealing the deeper state and trend of the monitored object. The monitoring analysis module performs predictive analysis on the fused monitoring data through a predictive analysis strategy to generate monitoring results. The data storage module stores the fused monitoring data and monitoring results to a cloud platform through a secure storage strategy, so as to ensure the security and privacy of the data, and at the same time ensure the persistence and reliability of the data. The interactive feedback module receives and visually displays the monitoring data and monitoring results through a feedback display strategy.

An airflow pulverizing device for oil shale dry distillation waste includes a classification chamber, a pulverizing chamber, and a discharge pipe. The classification chamber contains a classification impeller with an open upper end connected to an exhaust pipe. Multiple nozzles for injecting high-pressure airflow into the pulverizing chamber are arranged in a circumferential array on the sidewall of the pulverizing chamber. The nozzle trajectories converge in the center of the pulverizing chamber to form a pulverizing zone. A guide ring is located below the classification impeller inside the classification chamber. The top surface of the guide ring has an annular groove that fits against the inner wall of the classification chamber. A guide channel extends inward from the guide ring, inclined downwards, and multiple guide channels are arranged in a circumferential array. The guide channels communicate with the annular grooves, and their ends are located above the pulverizing zone of the pulverizing chamber. This design effectively reduces the amount of residue falling into the discharge pipe, thereby reducing the frequency of residue collection and refeeding, and simplifying management processes and workload during pulverization.