378 results about "Continuous scanning" patented technology

The invention provides a mechanical arm curved surface scanning path planning method based on a least square conformal algorithm, and the method comprises the steps: carrying out the digital-to-analog conversion of a to-be-scanned curved surface into a triangular mesh, and calculating the curvature and normal vector of the vertex of the triangular mesh; performing point clustering according to the curvature and the normal vector of the vertex to obtain a point set of a plurality of areas capable of being continuously scanned; projecting the three-dimensional vertex to a two-dimensional plane through a least square conformal algorithm; solving a two-dimensional scanning path point corresponding to a point in the point set of each continuous scanning area; the adjacent scanning areas are connected end to end according to the nearest neighbor relation, and a complete two-dimensional scanning path point array is obtained; performing inverse mapping back to three dimensions, and offsetting the path points according to the normal directions of the path points and the parameters of the scanner to obtain a complete three-dimensional scanning path point array; and finally converting the data into executable data of the mechanical arm to complete path planning. According to the method provided by the invention, the curved surface scanning path which is efficient, comprehensive in coverage and high in adaptability and can be executed by the mechanical arm is generated.

The invention discloses a fire-fighting fireproof door alarm information transmission device and method based on the Internet of Things, and relates to the technical field of fire-fighting alarm, and the method comprises the following steps: carrying out the multi-band continuous scanning of a wireless communication environment of a fireproof door alarm device deployment region after a fire emergency mode is started, identifying a target communication protocol frequency band used by the fireproof door alarm device, and obtaining spectrum parameter information of each frequency band to form a to-be-analyzed communication frequency band set; and extracting a working frequency band used by the peripheral wireless equipment based on a pre-established environment wireless equipment frequency band database. Frequency spectrum mapping is constructed through frequency spectrum scanning and an environment database, intelligent interference prediction is realized in combination with a support vector machine, coding parameters are dynamically adjusted based on interference intensity, the transmission reliability of key alarm information in a high-interference environment is improved, feedforward recognition and closed-loop regulation and control capabilities are achieved, and the method is suitable for popularization and application. And the problems of slow response and unstable transmission of a traditional system are effectively solved.

The invention belongs to the technical field of ferrous metallurgy, and particularly relates to a steel billet surface defect detection method which comprises the following steps: controlling the moving speed of a roller way to be synchronous with the reaction rate of flame cleaning, and performing continuous scanning type cleaning and removal on an oxide layer on the surface of a steel billet through a flame cleaning device; the flame cleaning device comprises a flame nozzle and an air source; and then the surface of the steel billet is detected after flame cleaning, surface defects are recognized, and the defects comprise cracks and air holes. The flame cleaning device is adopted to remove the oxide layer on the surface of the steel billet, so that the surface of the steel billet can be quickly and effectively cleaned, tedious pretreatment processes such as acid pickling and shot blasting are avoided, expensive chemicals and shot blasting equipment are avoided, the chemical treatment and equipment maintenance cost is saved, and the production cost is remarkably reduced. The speed and efficiency of billet surface defect detection are greatly improved, and the dead time and manual intervention of a production line are reduced.

The invention discloses a reticulocyte recognition and grading system based on a blood smear, and particularly relates to the field of medical cell morphology examination, and the system comprises an image acquisition module, a staining normalization module, an instance segmentation module, an erythrocyte classification module, a reticulocyte grading module and a statistics output module. The image acquisition module adopts an automatic microscope platform to continuously scan the blood smear under a 100-time visual field, acquires a high-quality bright field channel image through an automatic focusing technology, and monitors image definition, contrast and illumination uniformity; the statistical output module is used for calculating the proportion and bluish violet intensity statistics of reticulocytes of each level, and generating a visual quality control result and a diagnostic report; according to the invention, full-automatic processing from samples to reports is realized, interpretability and high classification precision are both considered, subjective difference and omission ratio of manual microscopic examination are significantly reduced, and efficiency and consistency of clinical detection are improved.

The invention relates to the technical field of ultrasonic scanning imaging, and discloses an ultrasonic robot real-time trajectory planning method and system based on an ultrasonic image. The trajectory planning method is applied to the ultrasonic scanning robot and specifically comprises the following steps that S101, an area where a target tissue is located is obtained, continuous scanning is carried out, an image of a cross section is obtained in real time, meanwhile, preliminary positioning of an ultrasonic probe is completed, and each frame of collected image and posture data of a current mechanical arm are synchronously recorded; and S102, carrying out image segmentation processing on the obtained image of the cross section, identifying a target structure region represented in each frame of image, accurately separating the target structure region from a complex background, obtaining the target segmentation of each frame of image, and then entering a spatial modeling stage. According to the method, the quality and robustness of the ultrasonic diagnosis image are improved by using the advantages of high learning efficiency and good generalization of the deep learning model, and the problem of poor online real-time adjustment capability in the current ultrasonic detection technology is solved.

The invention discloses an ultrasound-based diabetic renal lesion risk detection method and system, and relates to the technical field of ultrasonic detection.According to the system, through continuous scanning of a two-dimensional ultrasonic probe, an elastic imaging probe and a Doppler probe, the shape, structure, blood flow characteristics and cortex images of the kidney are obtained; an image processing technology is adopted for preprocessing, space registration and fusion, and a kidney area is automatically segmented; according to the extracted kidney tissue characteristics, calculating an atrophy risk coefficient and a fibrosis risk coefficient, and comparing with a standard threshold value to evaluate the kidney lesion risk; calculating a comprehensive risk coefficient in combination with blood glucose, urine protein and diet data, and evaluating diet influence risks; a renal lesion risk assessment model is constructed by using a convolutional neural network and a machine learning algorithm, a renal lesion prediction function is generated, and the system can accurately assess the renal lesion risk of a diabetic patient and provide early diagnosis and personalized treatment suggestions.

The invention relates to the field of underground pipe gallery space detection, in particular to an underground pipe gallery detection method based on unmanned aerial vehicle point cloud scanning, and the method comprises the steps: 1, arranging a reflector plate, and collecting the three-dimensional coordinates of the reflector plate in an absolute coordinate system; 2, performing three-dimensional laser scanning when the unmanned aerial vehicle flies, performing point cloud acquisition at the entrance of the underground pipe gallery, acquiring spatial point cloud data by a laser radar carried by the unmanned aerial vehicle, and recording environment image information by a visual sensor; 3, establishing a relative coordinate system associated with spatial features, and carrying out point cloud SLAM calculation; step 4, calculating overground and underground continuous spatial point clouds based on an SLAM algorithm, and extracting three-dimensional coordinates in the scanning point clouds; 5, converting the point cloud in the relative coordinate system to an absolute coordinate system by using a Rodrigue matrix conversion method; and step 6, acquiring real spatial position information of the underground pipe gallery. The real spatial position of the underground pipe gallery in an absolute coordinate system is obtained through continuous scanning of the unmanned aerial vehicle in combination with ground GNSS measurement.

The invention provides a scanning compensation method of electron beam detection equipment, a product and equipment. The method comprises the following steps: carrying out continuous scanning detection by electron beam detection equipment according to a preset scanning direction of a detected surface of a wafer; in the scanning detection process, a workbench bearing the wafer drives the wafer to move in the plane where the detected surface is located in the preset translation direction; the position detection device detects the jitter displacement of the workbench in the displacement process, wherein the jitter displacement is the deviation value of the actual position and the theoretical position caused by mechanical jitter in the displacement process of the workbench; and compensating the scanning waveform of the electron beam detection equipment according to the jitter displacement. Through the method, the electron beam can scan along with the compensated scanning waveform, so that the scanning error caused by mechanical jitter in the displacement process of the workbench is effectively reduced, the image jitter in the scanning result is eliminated, and the scanning result is closer to the real condition of the surface of the wafer.

The invention relates to the technical field of spectrum detection, and discloses a quality control method for traditional Chinese medicine capsules, which comprises the following steps: continuously scanning by using a micro light spot probe during capsule movement to obtain a spatial spectrum response sequence; performing adjacent micro-area differential operation on the sequence, and filtering a shell background and retaining a particle scattering signal by utilizing a microstructure difference between a capsule shell continuous film and a powder content discrete accumulation; according to the method, a traditional path of a shell standard model is established, through a spatial frequency domain decoupling mechanism, reference errors caused by batch drifting of shell physical attributes are avoided, and the detection sensitivity of trace component fluctuation and foreign matter mixing is improved.

The application discloses a kind of bending piece bending angle laser measuring device, it is related to laser measuring technical field, including detection table, drive mechanism, movable rod, receiver, laser head, control panel, bent pipe material, the top of the detection table is through being provided with sliding slot one, and the inner wall of sliding slot one is connected with mounting seat with sliding fit.Therein, when the bending piece is measured by laser, the fixed bead is matched by the spiral groove, the rotating handle drives the adjusting disc to move, and the four fixed strips are protruded from the telescopic groove by the connecting rod and the diffusion groove, so that the pipe material is fixed from the inside, the continuous scanning and the accuracy of laser are ensured, after measuring one side, the telescopic rod is matched with the supporting rod and the rack and the limiting plate, the pipe material is lifted and rotated to turn over the surface, the double-side data acquisition is completed by single clamping, and the efficiency and data reliability are improved.

A computer device performs feature extraction on two-dimensional medical images included in a three-dimensional medical image, to obtain image features corresponding to the two-dimensional medical images. The three-dimensional medical image are obtained by continuously scanning a target tissue structure. The computer device determines offsets of the two-dimensional medical images in a target direction based on the image features. The computer device performs feature alignment on the image features based on the offsets, to obtain aligned image features. The computer device performs three-dimensional segmentation on the three-dimensional medical image based on the aligned image features, to obtain three-dimensional layer distribution of the target tissue structure in the three-dimensional medical image.

The present invention provides a computer-implemented method for X-ray analysis. The method includes receiving X-ray analysis data from an X-ray detector having multiple detection channels. The X-ray analysis data includes angular scan intensity data obtained by measuring X-ray intensities when successively scanning the X-ray detector. A series of intensity measurement values ​​is acquired for each detection channel. Each series of intensity measurement values ​​is an intensity angular scan. An angular offset is determined for each detection channel. The method further includes determining, for each of a plurality of detection angle bins, an intensity contribution factor for at least one of the intensity measurements. The intensity contribution factor is determined according to an angle range associated with the detection angle bin and the angular offset of the detection channel. For each of the plurality of detection angle bins, a binned intensity is determined based on the intensity of the at least one intensity measurement value and its corresponding intensity contribution factor.

The invention discloses a roundness deviation control method and system for bending a U-shaped pipe of a heat exchanger, and relates to the related field of size and shape measurement, and the method comprises the steps: determining a pipe blank of the U-shaped pipe and a bending target, and inputting the pipe blank and the bending target into a control center for analysis; controlling a pipe bending machine to perform bending control on a first side bending arm of the U-shaped pipe according to the first bending parameter, and starting laser scanning equipment to perform 360-degree scanning along the section of the pipe; performing camber detection on each section based on the continuous scanning data sequence, performing camber deviation prediction and correction, and generating a first real-time correction parameter; and the bending control is continued, after the first control is completed, the opposite-side influence verification of the second-side bending arm is executed according to the opposite-side mutual influence information, and after the opposite-side influence verification passes, the bending deviation prediction and correction of the second-side bending arm are carried out according to the second-time bending parameters. The technical problem that in existing roundness deviation control, the roundness deviation is difficult to effectively control, and consequently the bending quality is unstable is solved, and the technical effects that the roundness deviation is effectively controlled, and the bending quality is improved are achieved.

The invention discloses a continuous scanning half-wave sampling system for a multi-dimensional coherent spectrum, which comprises a continuous laser, continuous laser output by the continuous laser and femtosecond laser pulse output by an ultra-short femtosecond laser pulse generation device are combined and then split, and modulation and time delay are respectively carried out; the multi-dimensional coherent femtosecond laser pulse sequence is used for exciting a fluorescence signal generated by a sample and converting the fluorescence signal into a first electric signal, and the obtained continuous laser carrying different modulation frequencies is converted into a second electric signal; and demodulating the second electric signal by taking a total mixing signal obtained by mixing the multiple paths of modulation signals as a reference, and demodulating the first electric signal by using the second electric signal. The invention further discloses a continuous scanning half-wave sampling method for the multi-dimensional coherent spectrum. The half-wave sampling method is utilized to accurately calibrate optical time delay so as to obtain the multi-phase multi-dimensional coherent spectrum. The sampling step length breaks through the limitation of the minimum sampling step length of traditional stepping collection, and the sampling bandwidth is remarkably improved.

The invention belongs to the related technical field of three-dimensional shape measurement, and discloses a three-dimensional shape measurement method and system based on continuous vertical scanning structure illumination, and the method comprises the steps: S1, collecting a structured light image of a to-be-measured sample at each scanning position; s2, carrying out background light intensity estimation by using the adjacent structured light images in the time domain, obtaining a uniform illumination image, and correcting the structured light image; s3, performing high-pass filtering on the uniform illumination image to obtain high-frequency in-focus information; performing low-pass filtering on the corrected structured light image to obtain low-frequency in-focus information; fusing the two to obtain an optical tomographic image of the to-be-detected sample; and S4, obtaining the three-dimensional shape of the to-be-detected sample. According to the method, a continuous scanning structured light illumination measurement method is adopted, only one structured illumination phase shift cosine fringe pattern is collected at each scanning position, and high-precision chromatography extraction is carried out, so that high-precision chromatography imaging under the condition of an uninterrupted continuous scanning mode can be realized, and the measurement speed and precision are greatly improved.

The invention relates to the technical field of laser radars, and provides a laser radar angular resolution enhancement method, which comprises the following steps of: obtaining a spatial direction priority according to a vehicle course, road information and target information obtained by a vehicle external sensor so as to dynamically adjust laser pulse density and energy level; scanning data generated after N circles of continuous scanning serve as a composite frame, the starting angle of each circle is shifted, multiphase filtering and coherent superposition are conducted in a digital domain, and the effective angular resolution is obtained. The invention further discloses a laser radar device, the method and the device can adjust the pulse density and energy distribution in the ROI direction in real time according to the dynamic scene of the vehicle, the total pulse number is kept unchanged, and the total power consumption is not increased. The effective horizontal angle resolution is improved through inter-frame phase offset and multi-phase synthesis. A corner reflector and an IMU (Inertial Measurement Unit) are integrated in the laser radar, and phase and ranging errors are corrected in real time through periodic loopback calibration, so that the angle stability is kept.

The invention relates to the technical field of gas detection, and discloses an underground pipe gallery leakage gas identification system based on infrared spectroscopic analysis, comprising an acoustic sensor unit passively monitoring a pipe gallery acoustic signal and generating a wake-up instruction and azimuth information, the infrared spectrum analysis module emits infrared beams with specific wavelength combination to a pre-estimated leakage sector according to the azimuth information and receives a returned light signal to generate spectral data; and the control processing unit analyzes the spectral data and judges and confirms a leakage event in cooperation with the azimuth information. According to the method, energy efficiency mode innovation from continuous scanning to event driving is realized through a cooperative mechanism of acoustic triggering and infrared directional detection, and the accuracy and response speed of trace leakage identification in a complex environment are remarkably improved by combining a differential spectrum technology and spatial coding logic verification.

The invention relates to a high-angular-resolution atmospheric detection laser radar acquisition and control system, and belongs to the technical field of atmospheric detection laser radar data acquisition. The system comprises an ARM main control module, an acquisition card and a scanning module, wherein the ARM main control module is internally provided with a multi-core CPU (Central Processing Unit), and when the system runs, a data reading process, a data processing process and a data storage process are respectively distributed to different cores of the multi-core CPU for parallel execution; the ARM main control module is used for issuing an instruction to the acquisition card and reading a hardware accumulation result of the acquisition card for processing and storing; the scanning module is controlled by the ARM main control module to perform continuous scanning; and the acquisition card is used for performing high-angle-resolution acquisition on aerosol observation data obtained in the continuous and rapid scanning process of the scanning module according to an instruction of the ARM main control module. According to the invention, the real-time monitoring capability of aerosol space-time distribution in a complex atmospheric environment is improved.

The invention relates to the technical field of integrated circuit testing, and discloses a method and equipment for scanning a voltage and current flip point of a chip, and the method comprises the following steps: an upper computer completes parameter configuration and wave table loading and then sends a starting instruction, a global synchronization unit generates a synchronization signal, and the synchronization signal is sent to a chip; the random waveform generator is started in parallel for scanning, the trigger unit is started for monitoring, the internal counter is started for timing, when the trigger unit monitors overturning, a stop signal is sent, the global synchronization unit latches a count value immediately, and finally, the upper computer reads the count value and calculates an overturning point value in combination with a wave table rate and a clock period. According to the invention, the global synchronization unit is used for coordinating the parallel hardware architecture of the arbitrary waveform generator and the trigger unit, so that the continuous scanning of the excitation signal and the real-time monitoring of the response signal can be autonomously operated on the hardware level, and the overall time consumption of a single flip point test is greatly shortened.

The invention relates to the technical field of soil component detection, in particular to a soil component detection method and system based on spectral analysis, and the system comprises an intelligent mobile platform and a multifunctional integrated spectrum acquisition module. In the advancing process, soil is continuously scanned through the spectrum collection module, spectrum information is obtained in real time, data are processed through the spectrum feature extraction unit, the soil component type and distribution proportion are obtained, and a soil component distribution diagram and quantitative data are generated. According to the method, the detection efficiency can be remarkably improved, the problem of data missing of a traditional fixed-point sampling mode is avoided, meanwhile, the adaptability to complex terrains and diversified soil types is enhanced, and high precision and wide applicability of a detection result are ensured.

The invention discloses a microscopic structure test method for metal filaments, thin strips or coatings, which is applied to the technical field of physical and chemical detection of materials. According to the method, an ion beam which is focused by an electromagnetic lens and accelerated by an electric field with specific intensity and has specific beam intensity is used for continuously scanning a test surface of a sample at specific scanning speed and scanning times, and the ion beam excites a secondary electronic signal while generating a stripping effect on atoms with nanoscale thickness on the surface layer of the test surface of the sample; according to the principle that a contrast image containing crystal orientation information is obtained by utilizing the characteristic that the stripping effect and the excitation intensity of a secondary electronic signal are influenced by different crystal face orientations of a polycrystalline metal material, the microstructure information of a sample test surface is further obtained. The microscopic structure information of metal filaments, thin strips and plating layers, which is not easy to obtain by a traditional metallographic corrosion method, can be intuitively, quickly and accurately obtained, the detection problem of microscopic structures such as bonding wires, connecting sheets and plating layers commonly used in the field of microelectronics is solved, and the blank of a test method is filled.

The invention discloses a method for improving size precision and surface quality of Nb521 alloy formed through electron beam selective melting. The method comprises the steps that firstly, a three-dimensional model of the Nb521 alloy is stretched in the height direction, slicing and layering are conducted, each single slicing layer is divided into an inner area and an outer area, and data of each slicing layer are obtained; secondly, spherical Nb521 pre-alloyed powder is added, and data of all cutting layers are imported; 3, after powder spreading, scanning and melting in different areas to form a first single-layer solid sheet layer; and 4, powder spreading and melting processes are repeated. According to the method, through height stretching pre-compensation cooling shrinkage of the Nb521 alloy three-dimensional model, a single cutting layer is divided into a surface area and an internal area, double-concentric-square-shaped contour scanning is conducted on the surface area, snakelike continuous scanning, negative defocusing and corner dynamic adjustment are conducted on the internal area, the forming quality and efficiency are guaranteed, and the method is suitable for large-scale production. And the size precision and the surface quality of the Nb521 alloy part are improved, and the method is suitable for manufacturing Nb521 alloy complex structural parts.

The invention discloses a device and a method for accurately detecting mobile equipment based on Bluetooth features, and the method comprises the steps: carrying out the signal capture of the mobile equipment through an existing Bluetooth communication protocol in the mobile equipment; basic verification and deduplication are carried out on the captured Bluetooth data, and accurate timestamps and received signal strength (RSSI) information are given to the data; filtering a data organization unique identifier (OUI) in a broadcast packet of the mobile device in real time; analyzing a specific field in a broadcast packet of the mobile equipment, and identifying a specific broadcast mode of the type equipment; a dynamic fingerprint database is constructed, and a false alarm firewall is formed by associating a signal intensity curve with broadcast interval stability; if the same fingerprint is captured in three continuous scanning periods and the signal intensity is greater than a preset value, triggering existence judgment; according to the invention, through mutual cooperation of the modules, zero-interaction passive monitoring of the mobile device is realized, the identification precision is high, and the false alarm rate is extremely low.

Disclosed in the present invention is an image enhancement method based on photoacoustic microscopy imaging. The method comprises: executing multiple photoacoustic microscopy scannings on a target object to obtain three-dimensional data of the target, and obtaining scanning results of the target on a time axis by means of continuous scanning imaging; before performing a projection operation on a single imaging result, for the three-dimensional data, within a set search range, combining signals of adjacent areas in space dimension; and for the scanning results on the time axis, within a set search range, combining signals of adjacent areas in time dimension, so as to obtain an enhanced image. The present invention effectively improves the image signal-to-noise ratio of a photoacoustic microscopy system, and improves the calculation efficiency.

The invention provides a personalized intelligent hospital guide path planning method and system. The method comprises the following steps: continuously scanning a consulting room entrance area through a wide-angle image acquisition equipment array to obtain real-time personnel distribution data; calibrating the coordinates of the high-concentration area, and generating a dynamic space density map; associating the dynamic space density map with the hospital guide path to calculate congestion delay time; when the congestion delay time exceeds a threshold value, generating a path reconstruction instruction carrying an emergency degree label; based on a historical congestion record database, fitting a movement rule of a high-aggregation area by using an emergency degree label, and determining a movement direction vector; and in combination with the moving direction vector and a path reconstruction instruction, performing real-time blockage avoidance calculation on the standby path, and generating a dynamic hospital guide path bypassing the high-concentration area. According to the invention, through dynamic cooperation of real-time people flow monitoring and historical congestion rule prediction, the optimal hospital guide path bypassing the congestion area is automatically generated in the medical peak period, and the congestion rate is reduced.

The invention provides an image processing method and device for early detection of Alzheimer's disease, a storage medium and equipment. The image processing method comprises the following steps: an image acquisition stage: acquiring a brain 1H magnetic resonance anatomical image of a tester before taking a labeled probe and acquiring a brain 2H magnetic resonance metabolism image set of the tester within a preset time period after taking the labeled probe; an image processing stage: performing magnetic resonance signal quantitative estimation according to the brain 2H magnetic resonance metabolism image set to obtain a metabolic flux characteristic quantitative image set, and registering the metabolic flux characteristic quantitative image set to the brain 1H magnetic resonance anatomical image to obtain a training sample; and a model training stage: training a preset diagnosis model by the training sample, wherein the diagnosis model is a feature pyramid deep learning model based on Context Transform Block. Metabolic flux characteristic changes of AD in the early stage can be captured, dynamic injection and multi-period continuous scanning of the molecular probe are marked, and long-term tracking is achieved.

The invention relates to the field of microcavity photonics and the technical field of control, and provides a temperature locking method and device based on an optical microcavity absorption peak position, and the method comprises the steps: employing a tunable laser to output continuous light, and obtaining a transmission spectrum power curve; manually adjusting the output wavelength of the tunable laser, and recording the wavelength interval as a rough absorption peak position when a wave band with significantly reduced transmission spectrum power is detected; automatically adjusting the output wavelength of the tunable laser, and continuously scanning in the rough wavelength interval of the absorption peak position to obtain the absorption peak position; the offset between the position of the absorption peak and the position of a target absorption peak of the optical microcavity in a natural room temperature state is calculated, and the detected position of the absorption peak is stably maintained at the position of the target absorption peak by automatically heating or refrigerating the optical microcavity. Through the method, the problems of heat conduction path delay and thermal field gradient between the microcavity and the sensor are avoided, and the response speed and precision of wavelength drift compensation are improved.

The invention discloses a system and method for controlling a pipeline polishing robot, and relates to the technical field of robot control, the system is composed of a plurality of functional modules, and the system comprises a reducing self-adaptive preprocessing module which obtains a pipe diameter curve through laser continuous scanning, splices continuously scanned point cloud data in real time through an SLAM algorithm, and obtains a pipe diameter curve; constructing a dynamic three-dimensional topological model of the pipeline; attitude data of the robot are obtained, and the offset of the robot in the central axis of the pipeline is calculated; obtaining the monitoring environment temperature in the pipeline, constructing a dynamic thermal expansion model of the pipeline through thermal conduction finite element analysis, and correcting the pipe diameter value according to the thermal expansion model; according to the offset and the corrected pipe diameter value, the expansion and contraction amount of the umbrella-shaped structure is calculated through a fuzzy PID controller, and an umbrella-shaped structure expansion and contraction instruction is generated; the dust collection head is synchronously unfolded to the pipe wall; and a multi-process cooperative control module.

The invention discloses a corn straw biological power generation analysis method based on ecological environment protection, and relates to the technical field of biological power generation analysis, and the corn straw biological power generation analysis method comprises the following steps: continuously scanning a straw flow to obtain multi-source heterogeneous data; inputting multi-source heterogeneous data into the straw characteristic analysis model, and deconstructing key physical and chemical parameters; the key physical and chemical parameters are received, a power generation load instruction and real-time state data of boiler operation are combined, a multi-target optimization problem with the boiler thermal efficiency, the slagging risk index and the key pollutant emission concentration as optimization targets is solved through a power generation prediction control model, and a feeding instruction and a combustion instruction are generated; feeding combustion is monitored, and disturbance parameters and combustion state detection data are obtained; constructing a hybrid control model, and performing control parameter adjustment on known disturbance caused by fuel characteristic fluctuation in disturbance parameters; and the combustion state prediction deviation of the power generation prediction control model and unknown disturbance in the disturbance parameters are adjusted in real time.

The invention relates to the technical field of index structure recombination, in particular to a nursing process management database index optimization method, which comprises the following steps of: performing cost calculation on multiple indexes by adopting a gradient lifting regression tree, comparing the cost calculation with a threshold value, and forming a recombination candidate priority list under the support of a numerical result; a potential recombination object has a quantifiable judgment standard, predicted consumed time is calculated in combination with the low-ebb IO capacity and compared with the time slice length, the screening process can correspond to the system resource bearing condition, a B + tree algorithm is adopted for calculating a loading factor and the continuous scanning length, and through merging, splitting and redistribution operation, the screening efficiency is improved. A node organization structure is finely adjusted, it is guaranteed that an index structure and an access mode are kept coordinated, information entropy is utilized to sort and screen a field sequence, the field arrangement with high distinction degree is preferentially used for constructing a new index, atomic switching operation is executed to replace an old index, and the field sequence has adaptability in a dynamic data environment.