404 results about "Rapid acquisition" patented technology

Disclosed in the present invention is a photometric stereo-based device for rapidly detecting surface features of an object, capable of rapidly acquiring a plurality of images meeting the requirements of a photometric stereo algorithm. The device comprises a light emitting assembly, an acquisition assembly located above the light emitting assembly, and a data processing module; the acquisition assembly comprises a light path system and a camera group; the light path system comprises: a beam splitting prism group used for splitting reflected light from the surface of an object into a plurality of beams of light and respectively outputting the plurality of beams of light in different preset directions to form images to be processed, and a plurality of bandpass filters correspondingly arranged on the output sides of the plurality of beams of light used for forming said images, wherein the central wavelengths of the bandpass filters are respectively configured to be different wavebands of the reflected light from the surface of the object; the camera group comprises a plurality of cameras which are arranged behind the bandpass filters in a one-to-one correspondence mode and acquire filtered light beams; and the data processing module receives image information sent by the cameras, and performs compensation and photometric stereo reconstruction on the image information, so as to obtain surface features of the object. Further disclosed is a method implemented on the basis of the device.

The present application relates to a geographic mosaicking method and apparatus for video images, and a computer device and a storage medium. The method comprises: acquiring real-time live streaming images of a real-world scene that are collected by a plurality of unmanned aerial vehicles, and GNSS information of the plurality of unmanned aerial vehicles; using a visual SLAM algorithm to perform input frame tracking on the real-time live streaming images, and performing pose estimation on successfully tracked input frames by combining visual trajectories and the GNSS information, so as to generate georeferenced camera poses; using the camera poses and a surface reconstruction algorithm to perform densification processing on the input frames, so as to generate a depth map of the real-world scene, and mapping the depth map into dense three-dimensional point clouds, so as to construct a three-dimensional surface model of the real-world scene; and using the camera pose and the three-dimensional surface model to perform orthorectification on the input frames, and integrating the orthorectified input frames into a global mosaicked map, so as to generate a global image of the real-world scene. By means of the embodiments of the present application, a real-time picture of a real-world scene can be quickly acquired, thereby providing robust support for a rapid emergency response in a real-world scene.

The invention discloses a preparation method of fresh taxus chinensis stem and leaf protoplasts. The preparation method comprises a preparation process and a purification process. The preparation method of the taxus chinensis stem and leaf protoplast is simple and easy to operate, raw materials are easy to obtain and low in price, reagent components have good biocompatibility, and the taxus chinensis stem and leaf protoplast is free of harmful components, safe and environmentally friendly. The invention provides a simple and rapid taxus chinensis stem and leaf protoplast enzymolysis preparation method, which adopts vacuum filtration, accelerates the permeation of enzymatic hydrolysate and improves the enzymolysis efficiency, so that the protoplast can be rapidly obtained. Meanwhile, high-purity separation of the protoplast is carried out in combination with density gradient sedimentation of the iodixanol solution, so that the protoplast with uniform size and complete form is obtained, and convenience is provided for scientific researches such as subsequent conversion and single cell transcriptome sequencing.

The utility model relates to the technical field of semiconductor wafers, and discloses a semiconductor wafer thickness measuring device, which comprises a moving assembly and a compression measuring assembly, the moving assembly is arranged below the compression measuring assembly, the moving assembly comprises a fixed bottom plate, the upper end of the fixed bottom plate is connected with a moving motor, and the moving motor is connected with the compression measuring assembly. The output end of the moving motor is fixedly connected with a threaded rod, the threaded rod is connected with a threaded block, the upper end of the threaded block is connected with a sliding block, and the sliding block is connected with a sliding groove. According to the utility model, the thickness information of a plurality of positions can be rapidly acquired, the flexibility during measurement is improved, the measurement work of the thickness of the whole wafer can be rapidly completed, the measurement efficiency is improved, different areas of the semiconductor wafer can be measured, the distribution condition of the thickness of the semiconductor wafer can be completely mastered, and the measurement accuracy is improved. And omission of areas possibly having abnormal thickness is avoided, so that the measurement is more comprehensive.

The invention provides an environment document processing method and device based on a large model, equipment and a storage medium, and relates to the technical field of environment data processing. The method comprises the following steps: acquiring multi-source environment event document data; preprocessing the multi-source environment event document data; based on the task scene, performing feature extraction on the preprocessed text data by using a large language model to obtain text modal features, and extracting image modal features from the preprocessed image data by using a YOLO target detection algorithm; performing multi-modal feature adaptive fusion on the text modal features and the image modal features by adopting a dynamic weighting mode to obtain a cross-modal fusion vector; and constructing a knowledge graph based on the cross-modal fusion vector, and generating a multi-modal abstract. According to the method and the device, simple and logically clear abstracts can be generated for different types of documents, so that a user can quickly obtain core information of the documents, and the quick understanding requirement of multiple scenes is met.

The invention relates to the technical field of image acquisition, in particular to a non-contact visual defect acquisition system and defect detection method for disc scissors, comprising an image acquisition device and a control device electrically connected with the image acquisition device; the image acquisition device comprises a camera and an LED stroboscopic lamp, and by combining the stepping distance between acquisition frames and the acquisition position of the camera with the rotation speed of the disc shear tool, the image acquisition rhythm matched with the high-speed rotation of the disc shear tool can be realized, the detailed information of each part of the disc shear tool can be quickly acquired, and the image acquisition efficiency is improved; through matching of the PWM stroboscopic control frequency of the LED stroboscopic lamp and the exposure time of the camera, it is ensured that stable and appropriate illumination intensity and illumination time are provided when the camera is exposed every time, the problems of image blurring, inconsistent brightness and the like caused by uneven illumination or illumination change are solved, and the system is simple in structure, convenient to operate and low in cost. The problems that a traditional disc type cutter is low in detection efficiency, large in error and lagged in detection are effectively solved.

The invention provides a data processing method of a laser radar and a laser detection system. The data processing method comprises the following steps: S11, acquiring a frame of point cloud data of the laser radar; s12, determining a set of ground points in the frame of point cloud data; and S13, determining calibration parameters of the laser radar point cloud according to the set of ground points. In the embodiment of the invention, after the ground point set is extracted by using the GPU, the point cloud ground level is calibrated at a high speed, so that the radar 3D point cloud ground is aligned with the ground level of the physical world. According to the embodiment of the invention, the ground point in the 3D point cloud can be quickly obtained, the ground point is drawn by using the GPU, and the laser radar point cloud calibration parameter is obtained by using the projection of the ground point in the preset plane, so that the point cloud of the laser radar can be calibrated to be close to a world coordinate system and be basically aligned with the horizontal plane under the world coordinate system.

The embodiment of the invention relates to the technical field of space acquisition, and discloses a historical and cultural block three-dimensional space data rapid acquisition and display method, which comprises the following steps: acquiring multi-source three-dimensional space data of a historical and cultural block through a collaborative acquisition system; inputting the multi-source three-dimensional space data into a semantic data processing engine; in the semantic data processing engine, processing the multi-source three-dimensional space data to generate a digital twin model comprising semantic information; and presenting the digital twin model to a user through an interactive display platform and providing an interactive function based on semantic information. According to the method in the embodiment of the invention, multiple acquisition modes such as ground scanning, unmanned aerial vehicle aerial photography and handheld equipment detection can be integrated, large-range areas such as block roofs and high-altitude facilities can be quickly covered through the unmanned aerial vehicle, and blind areas of a single acquisition mode can be made up by depending on the handheld equipment to go deep into hidden corners such as narrow roadways. And the block can be comprehensively and abundantly displayed based on the semantic digital twinborn model.

The invention belongs to the technical field of electric power monitoring and dispatching, and discloses a real-time electric quantity monitoring and dispatching management system, which realizes high-precision and real-time electric quantity and related parameter acquisition through a quantum sensing electric quantity acquisition unit, and ensures high-efficiency circulation of data from acquisition to processing by matching with a high-speed and stable transmission network of a global dynamic data transmission unit; the edge calculation preprocessing unit timely processes data and reduces delay, so that the system can quickly obtain the real-time state of the power grid, timely basis is provided for scheduling decision, and decision errors caused by data lag are effectively avoided; by adopting a modular design, each core unit can be flexibly combined and expanded, the quantum sensing electric quantity acquisition unit supports various communication protocols, and the global dynamic data transmission unit fuses various communication technologies, so that the requirements of different scales of power grids can be met, special interfaces and lines do not need to be customized, and the construction and maintenance cost is reduced; and the applicability of the system in a complex and changeable power environment is obviously improved.

The invention provides a control system and method for a Fourier interference infrared spectral imaging remote sensing instrument, and relates to the technical field of infrared remote sensing, and the system comprises a main control module, a sub-control module, a control interface, an execution element and a spectral imaging display system. And the main control module is used for controlling the sub-control module to control the execution element through the control interface according to a logic process set by a program so as to obtain Fourier interference infrared spectral imaging remote sensing data of an observation target, and completing display and control functions of a human-computer interaction interface through the spectral imaging display system. According to the invention, centralized control management of an optical-mechanical-electrical-thermal whole system of an instrument is realized, automatic work and operation of a remote sensing instrument system are realized, and rapid acquisition and analysis of Fourier interference infrared spectrum imaging are realized by using an area array detector.

The invention belongs to the technical field of crop disease and insect pest detection, and discloses a method and a system for classifying, identifying and detecting crop disease and insect pests. According to the method, the lightweight and efficient FasterNet is adopted as the preliminary classifier, so that crop diseases, insect pests and weeds can be quickly and accurately distinguished, and the classification precision is improved. And secondly, for a disease image, through a segmentation model based on deep semantic segmentation and by adopting a double-stage segmentation strategy, respectively segmenting a leaf region and a scab region, thereby realizing high-precision segmentation and facilitating subsequent severity diagnosis and quantitative analysis. And for an insect pest image, utilizing a YOLOv11 target detection network to accurately select an insect pest position and identify an insect pest type. For a weed damage image, the YOLOv11 target detection network is also used to identify a weed area, and rapid acquisition and positioning of a field weed distribution condition are realized. According to the invention, the lightweight network and the efficient detection architecture are introduced, the recognition precision and the reasoning speed are both considered, and the dual requirements for real-time performance and reliability in field application of farmland can be met.

The invention relates to a tunnel point cloud data rapid acquisition system and method. The system comprises a vehicle-mounted three-dimensional laser scanning unit, a handheld three-dimensional laser scanning unit and a processing unit. A vehicle-mounted three-dimensional laser scanning unit scans point cloud data of a three-dimensional space in the tunnel and records the position of a train, so that the point cloud data is associated with the position information, and first point cloud data is obtained; the handheld three-dimensional laser scanning unit performs supplementary scanning on a sheltered area and / or a section in the tunnel under the condition that the handheld three-dimensional laser scanning unit is held by a worker so as to obtain second point cloud data; the processing unit constructs a three-dimensional model of the tunnel based on the first point cloud data and the second point cloud data. The advantages of the vehicle-mounted three-dimensional laser scanning unit and the handheld three-dimensional laser scanning unit are combined, data collection can be carried out under the condition that the whole section of the urban rail tunnel is effectively covered, rapid and high-precision data collection can be achieved in the complex and narrow tunnel environment, and the efficiency and adaptability of a traditional measurement method are remarkably improved.

The invention is suitable for the technical field of transformer substation quality detection, provides a transformer substation grounding grid hidden project quality detection method and system and terminal equipment, and realizes rapid acquisition and automatic processing of construction data by acquiring grounding grid and cable image data in real time and automatically identifying features by using an identification model. And the real-time three-dimensional model of the grounding grid and the cable is constructed, and the two-dimensional image is converted into accurate three-dimensional geometric representation, so that the accuracy of state description is improved. And finally, the real-time three-dimensional model and the preset design model are subjected to space comparison, the construction deviation is automatically detected, and comprehensive evaluation of the hidden project quality is realized, so that the detection efficiency is remarkably improved, the manual dependence is reduced, the reliability and timeliness of the detection result are ensured, and the potential safety hazard is effectively reduced.

The invention relates to the technical field of archive retrieval, in particular to an archive electronic information intelligent retrieval system which comprises a hierarchical extraction module, a frequency comparison module, a character alignment module, a similarity labeling module and an index integration module. According to the method, the archive text and the keyword character string are extracted in a layered mode, the reference ratio is calculated based on the total number of characters and the preset threshold value, the content priority is accurately divided, character distribution and index positions are analyzed in combination with query of the first character, positioning distribution information is generated, and the proportion value is formed by the consistent number of the characters one by one of the matched positions and the length of the query character string. The method comprises the following steps of: screening fragments meeting consistency requirements, generating a similar block labeling list in combination with an index range and a similarity label, integrally realizing layered screening, proportion comparison, character-by-character consistency analysis and similarity labeling, and promoting the linkage of unstructured archive data retrieval from coarse screening to fine matching; and the retrieval accuracy, the matching fragment positioning performance and the result structured expression are obviously improved, and multi-dimensional quick acquisition is realized.

The invention provides an online dynamic water quality fingerprint rapid acquisition and preprocessing device and method. The method comprises the steps that intelligent flow path selection is achieved through graph theory modeling, a water quality monitoring system is modeled into a directed weighted graph, bilateral connected component decomposition is carried out to recognize system vulnerabilities, and a redundant flow path is configured to improve the fault-tolerant capability; adopting an optimal transmission theory to optimize dilution control, modeling a dilution problem as an optimal transmission problem of spectral distribution, and calculating an optimal dilution ratio through a linear space super-gradient algorithm; a matrix flipping graph search algorithm is applied to accelerate spectrum calculation, a spectrum data matrix is abstracted into a flipping graph model, and an optimal matrix flipping operation sequence is found through heuristic search. According to the method, the efficiency, precision and robustness of water quality monitoring are remarkably improved, the monitoring efficiency is improved by 50%, the measurement error is reduced by 70%, and the calculation speed is improved by 5-10 times.

The invention relates to a mirror image traffic processing method and device, computer equipment, a computer readable storage medium and a computer program product. The method comprises the following steps: acquiring mirror image traffic to be processed; acquiring corresponding target encapsulation session information according to a mirror image source address, a virtual network identifier and a message transmission direction in the mirror image traffic; determining a target message from the mirror image traffic; performing virtual extensible local area network encapsulation on the target message according to the target encapsulation session information; and sending the packaged target message to the mirror image destination. According to the method and the device, the target encapsulation session information is quickly acquired, the target message is encapsulated and then sent to the mirror image, and the mirror image traffic in the mirror image source is efficiently monitored.

The invention relates to a transaction event interpretation system based on information traceability. The transaction event interpretation system comprises an architecture management module, a vector deployment module and a transaction recognition module, the architecture management module comprises an association construction unit and a type calibration unit; the vector deployment module comprises a transaction construction unit, a transaction evaluation unit, a vector generation unit and a vector deployment unit, and the transaction identification module comprises an information acquisition unit and a transaction index unit. According to the method, two dimensions of static configuration and dynamic retrieval are combined, firstly, static configuration of retrieval vectors is carried out on each monitoring point according to basic information, so that each monitoring point has target performance during transaction event tracing, on the other hand, the incidence relation between the monitoring points is taken into account, information isolation is avoided, and in addition, through dynamic configuration of the probe, the accuracy of transaction event tracing is improved. And according to the actual condition of each monitoring point, external data is rapidly obtained to complement the external event basis required by transaction event tracing.

The invention discloses a clinical laboratory data rapid processing and sharing method based on big data, and relates to the technical field of medical information. Through a big data storage architecture and a parallelization processing technology, the data are stored in a fragmented mode and are cleaned and integrated in parallel, mass data generated by the clinical laboratory can be efficiently processed, the data processing time is remarkably shortened, the timeliness requirement of clinical rapid diagnosis is met, data association is mined through a big data analysis algorithm, and the data association efficiency is improved. Potential laws such as disease trend and treatment effect are extracted from test data, and quantitative support is provided for clinical diagnosis; the visual presentation mode improves the inspection result interpretation efficiency, is convenient for doctors to quickly acquire key information and construct a safe sharing platform, realizes quick and convenient sharing of clinical laboratory data within an authorization range, meets the requirement of quickly acquiring results clinically, meets the medical data compliance requirement, and is constructed based on a big data technology, so that the medical data interpretation efficiency is improved. The method can be conveniently expanded to adapt to the increase of future data volume and the increase of processing requirements.

The invention discloses a rapid marinating soup quality parameter acquisition method and a marinating time optimization method in a sauced product cooling process, and belongs to the technical field of sauced product production processes, and the method comprises the following steps: S1, acquiring near infrared spectrum data of a meat sample by adopting a near infrared spectrum technology; performing two-dimensional correlation analysis on the near infrared spectrum data, converting the one-dimensional spectrum data into two-dimensional correlation spectrum data, and improving the resolution of the one-dimensional spectrum data and the separation degree of overlapping peaks to obtain a two-dimensional correlation analysis result; s2, processing the two-dimensional correlation spectrum data by using a moving window technology, observing a time period in which a functional group changes along with external interference, and converting static detection of a substance into dynamic analysis to obtain a moving window technology processing result; and S3, acquiring nuclear magnetic resonance data of the meat sample by adopting a nuclear magnetic resonance technology, and reflecting the motion state of hydrogen protons. According to the invention, the meat moisture migration and fat oxidation degree can be accurately identified.

The invention relates to the technical field of distributed storage, in particular to an automatic configuration management system and method based on distributed storage, and the system comprises a distributed storage cluster which is used for storing configuration data in a centralized manner; configuring a distribution engine to realize real-time pushing, batch distribution and incremental synchronization of the configuration to a target service instance; the change control module integrates an approval process unit, a rollback unit and a change record database; the version management unit is used for storing and configuring historical version snapshots; the audit alarm module is used for generating a change audit log and an abnormal alarm; the problem of configuration synchronization delay is solved through a distributed storage cluster and a real-time push mechanism, it is ensured that the service instance rapidly obtains the latest configuration, the change safety is improved through the multi-stage approval and rollback functions, service interruption is avoided, version management supports rapid backtracking, auditing alarm real-time monitoring is abnormal, and the service quality is improved. Full-process automatic management of configuration is realized, and the operation and maintenance efficiency and stability of the distributed system are remarkably improved.

The invention discloses a harmonic spectrum information cutting-based flood inundation range remote sensing rapid extraction method, which comprises the steps of S1, converting an obtained remote sensing image from an RGB color space to an HSV color space, extracting spectral information of the image, and decomposing the spectral information into harmonic spectrum components; s2, constructing an improved clustering model based on a density peak value clustering algorithm, and clustering pixel points in the remote sensing image into a suspected water body class and a non-water body class; s3, optimizing a clustering result through a semantic segmentation network, taking the clustered image as input, and outputting a water body and non-water body segmentation result; and S4, in combination with geographic coordinate information of the remote sensing image, geocoding is performed on the segmentation result, and a thematic map containing the flood inundation range is generated. According to the method, the accuracy and efficiency of flood inundation range extraction are improved, and accurate distinguishing between a water body and a non-water body and rapid obtaining of inundation range changes are achieved.

The invention provides a method for constructing a soil fertility index comprehensive evaluation model based on multiple soil indexes, and the method comprises the steps: (1) collecting soil sample image data of different regions, and carrying out the preprocessing of the data, so as to obtain a panoramic looking-around soil profile hyperspectral image; (2) extracting soil sample data and standard reflectivity plate data; (3) carrying out radiation correction and preprocessing on the soil sample data and the standard reflectivity plate data; (4) carrying out characteristic wavelength extraction on the spectral reflectivity data of the soil samples at different depths; (5) respectively measuring parameter data of the soil samples at different depths; (6) constructing a multi-parameter inversion model under different depths; (7) establishing a soil fertility comprehensive evaluation model; and (8) obtaining color distribution diagrams of different soil parameters and soil fertility indexes. According to the method, the spectrum data of the soil profiles at different depths can be quickly acquired in a low-loss manner, so that the soil index data is inverted, and the soil fertility evaluation efficiency is greatly improved.

The invention discloses a power consumption parameter obtaining method and device, electronic equipment and a storage medium, and relates to the technical field of integrated circuits, and the method comprises the steps: obtaining the performance parameter information of a plurality of target logic units in a target integrated circuit module; determining a target logic unit library corresponding to the target logic unit based on the performance parameter information of the target logic unit; dividing the same target logic units of the corresponding target logic unit libraries into a target logic unit set to obtain a plurality of target logic unit sets; for any target logic unit set, the power consumption parameter of each target logic unit in the target logic unit set is obtained from the target logic unit library corresponding to the target logic unit set, and the power consumption parameters are stored in the target text file, so that the power consumption parameters of the target logic units are automatically and rapidly obtained; the technical problem of long time consumption of power consumption parameter collection is solved, and the technical effect of shortening the time consumption of power consumption parameter collection is achieved.

The application discloses a kind of cattle contactless multi-modal intelligent monitoring early warning device and monitoring early warning method.The device includes the passage of being arranged in the side of cowshed, mobile acquisition mechanism, multi-modal acquisition unit, edge data processing unit, multi-modal data fusion engine, health assessment model, early warning module and remote management platform.Mobile acquisition mechanism can slide along the passage, rotatingly connected installation box below sliding seat, end push rod can make installation box deflection towards the direction of cattle travel, realize the rapid acquisition when normal traffic;When judging cattle exception, sliding seat moves to the top of cattle and follows movement, carries out whole course close synchronous acquisition.The application fuses color image, depth image, called audio and environmental parameters, combines Transformer model to evaluate health score and risk level, realizes contactless, automated monitoring, avoids cattle stress, improves early abnormal identification accuracy.

The application discloses a kind of public dining room food safety supervision method and system in the technical field of food safety supervision.The supervision method includes: S1, for personnel, dishes, agency, event four kinds of data entities, respectively corresponding person code, dish code, agency code, event code Coding rules are formulated;S2, real-time data acquisition generates corresponding code, and establishes the association relationship of dish code and person code, agency code, event code with dish code as connection node;S3, four kinds of data entities and its associated data are stored, and key association data is stored in block chain;S4, receive query request, according to the code of any one kind carried by request, output all data entity information associated with the code.The supervision method breaks the problem of traditional dining room supervision data island in each link, realizes dish, personnel, agency, event data full-link penetration, and any dimension query can quickly obtain complete evidence chain, and key data is stored in block chain, and data credibility is high.

The utility model discloses an on-line detection sensor for available phosphorus in rice field soil. The on-line detection sensor mainly comprises a cylinder cover, a control cylinder body and a detection probe, the barrel cover comprises a switch, a lithium battery charging port and a circuit board fixing hole; the detection probe comprises a detection probe, a hexagon nut and a detection connection PCB. The control cylinder comprises a detection circuit board and a lithium battery; the detection circuit board comprises a main control chip, a signal generation circuit module, a signal acquisition circuit module, a wireless communication module, a power supply module and a built-in antenna. The main control chip adopts a high-performance STM32F4 series single chip microcomputer; and the wireless communication module adopts a LoRa wireless network for transmission. The device has the characteristics of low power consumption, simplicity and convenience in operation, rapidness in detection and the like, is suitable for occasions needing field on-line detection on the available phosphorus in the rice field soil, and can rapidly obtain the information of the available phosphorus in the rice field soil.

The utility model discloses a voltage and current rapid acquisition digital control circuit, which comprises a multi-channel digital-to-analog conversion circuit, and a voltage photoelectric isolation acquisition circuit and a current rapid acquisition circuit which are connected with the multi-channel digital-to-analog conversion circuit, and the multi-channel digital-to-analog conversion circuit comprises a multi-channel ADC chip. The output end of the multi-channel ADC chip is connected with an FPGA processor, and the multi-channel ADC chip is used for converting the analog quantity of accessed voltage and current signals into digital quantity data and transmitting the digital quantity data to the FPGA processor in a bus mode. According to the utility model, the photoelectric isolator whose maximum delay time from input to output does not exceed 3.3 [mu] s can be used to realize signal photoelectric isolation amplification, the differential amplification filter circuit is connected in parallel with a 1nF capacitor to give consideration to both signal filtering stability and capacitor charging rapidity, and the ADC conversion chip whose resolution is 16bit and capable of parallel acquisition is selected. And multi-channel high-precision and rapid parallel analog-to-digital conversion is realized.

The invention relates to a method for quickly acquiring ramp information and a vehicle running state, which is based on a first acceleration sensor parallel to the vehicle running direction and a second acceleration sensor perpendicular to the first acceleration sensor. Synchronously measuring to obtain a first acceleration component along the slope surface direction and a second acceleration component vertical to the slope surface direction; according to the projection relation between the second acceleration component and the gravitational acceleration in the direction perpendicular to the slope surface, the slope angle and the running acceleration of the current ramp are analyzed; and torque compensation control is conducted on a vehicle driving motor through the slope angle and the running acceleration. Aiming at the limitation of ramp detection of the existing GPS and gyroscope, a ramp information and vehicle running state acquisition system which is low in cost, high in real-time performance and adaptive to a whole scene is constructed by taking double vertical acceleration sensors as a basic core; the problems of slow ramp detection response, high cost, insufficient precision and load interference of the industrial vehicle in a closed and complex scene are effectively solved.

The invention provides a discontinuous pulse signal frequency acquisition system and method, and the system comprises an attenuation unit, a filtering unit, an impedance matching unit, a first comparator, a second comparator and a main control unit, and the attenuation unit is used for reducing the amplitude value of an input pulse signal; the filtering unit is used for filtering the signal after the amplitude value is reduced; the main control unit is connected with the first comparator and the second comparator. According to the invention, the discontinuous pulse signal is attenuated and subjected to filtering impedance matching and then is input into the first comparator and the second comparator at the same time, the main control module triggers the first comparator to count when detecting the rising edge output by the second comparator, and the first comparator calculates the period of two continuous square waves, so that the frequency of the discontinuous pulse signal is obtained; effective and rapid acquisition of discontinuous pulse signal frequency is realized.

The invention discloses a conveyor belt coal flow volume detection method and a coal flow speed control method, and the method comprises the steps: obtaining the initial point cloud data of a conveyor belt, obtaining a reference point according to the initial point cloud data, and determining a no-load cross-sectional area and a load cross-sectional area at each moment in a target time period according to the reference point, and determining the coal flow volume in the target time period according to the no-load cross-sectional area and the load cross-sectional area at each moment in the target time period. The spatial information of the total cross section of the conveying belt is obtained through the point cloud data, precision deviation and local abnormal interference caused by single-point detection are avoided, the continuity, accuracy and reliability of coal flow volume detection are guaranteed, the coal flow volume can be rapidly obtained in any time period, and the coal flow volume detection efficiency is improved. Accurate data basis is provided for follow-up coal quantity prediction and conveying belt speed control, and the safety and the intelligent level of coal flow conveying are effectively improved.