46results about How to "Improve acquisition" patented technology

The invention discloses a yellow phosphorus tailing-based mine filling material and application thereof. The yellow phosphorus tailing-based mine filling material comprises aggregate and a cementing material, the cementing material comprises the following components in parts by mass: 5-20 parts of red mud, 20-40 parts of yellow phosphorus slag, 10-30 parts of slag, 5-10 parts of fly ash, 5-10 parts of a compound exciting agent, 1-3 parts of an early strength agent and 2-5 parts of a water-retaining agent; wherein the compound exciting agent comprises the following components in parts by mass: 10-20 parts of sodium metasilicate, 30-40 parts of gypsum powder, 20-30 parts of sodium sulfate, 5-10 parts of carbide slag and 5-10 parts of silica fume; according to the invention, the raw materials are compounded and the specific exciting agent is subjected to depolymerization-polycondensation reaction to obtain a cementing material containing Aft (ettringite), C-S-H gel (hydrated calcium silicate gel) and C-A-S-H gel (hydrated calcium aluminosilicate gel), and finally, the mine filling material with high fluidity, low bleeding rate and high strength is obtained while yellow phosphorus tailing solid waste is treated.

The invention provides a wafer three-dimensional shape detection method based on sparse sampling, and the method comprises the steps: 1, carrying out the longitudinal scanning of each pixel point of a to-be-detected wafer based on a white light interference measurement method, and obtaining an interference signal # imgabs0 # in a longitudinal scanning range at a certain sampling step length; 2, during longitudinal scanning, a sparse sampling mode of equal-phase interval sampling is adopted, the sampling interval used by scanning sampling is n more than the full sampling interval, and sparse sampling interference signals are obtained; and 3, processing a sparse sampling interference signal obtained from the surface of the wafer to be measured by using an improved gravity center method, and reconstructing the three-dimensional shape of the wafer.

The invention provides a road collapse monitoring method, device and equipment based on a grating array and a medium, and belongs to the technical field of road monitoring, and the method comprises the steps: obtaining a vibration response signal of a road structure collected by a grating array vibration sensing optical cable; determining a sensing link length based on the vibration response signal, and judging whether the sensing link length is smaller than a reference link length; if so, determining that the roadbed of the road structure is collapsed; if yes, determining a vibration characteristic value based on the vibration response signal, and determining whether the roadbed of the road structure collapses or not based on the vibration characteristic value. According to the method, whether the roadbed is collapsed or not can be judged only through the sensing link length determined based on the vibration response information, the judgment process is simple, and the timeliness of road collapse monitoring is ensured.

The invention discloses a high-resolution remote sensing image compression method and system based on block modulation imaging, a binary mask matrix is generated, an acquisition end configures an optical mask device according to the binary mask matrix, and when a high-resolution remote sensing image is acquired, an optical lens is adopted to acquire an optical signal matrix; after optical mask processing is carried out through the optical mask device, modulation is carried out through the relay lens, then the optical mask device is converted into an electrical signal matrix through the photoelectric sensor, then the electrical signal matrix is partitioned and superposed so as to complete compression, and an obtained measurement value matrix is sent to a receiving end; the receiving end extracts a block mask matrix corresponding to each block from the binary mask matrix according to the block mode of the acquisition end, then extracts each block signal matrix from the measured value matrix to form a three-dimensional signal matrix, and inputs the three-dimensional signal matrix into a pre-constructed and trained decoding network; and decoding to obtain an optical signal matrix of the high-resolution remote sensing image. According to the invention, block modulation imaging is provided, and the decoding restoration quality is improved while the compression speed is improved.

The utility model provides a lotus leaf tea fragrance capturing device, which relates to the technical field of flower fragrance collection and comprises an equipment shell, a control device arranged on the front side of the equipment shell, a breather pipe arranged at the top of the equipment shell, a support frame arranged at the top of the equipment shell, a gas collection tank arranged at the top of the equipment shell, and a gas concentration detector arranged at the top of the gas collection tank. A rubber sealing ring is arranged at the bottom of the air collection tank, an air guide plate is arranged on one side of the equipment shell, a placement plate is arranged on one side of the equipment shell, and an air guide turbine disc is additionally arranged at the top of the equipment shell, so that the air flowing speed and flow can be increased through the additionally arranged air guide turbine disc during use; the device is simple in structure and convenient to use, rapid spreading and capturing of fragrance are facilitated, the fragrance is more evenly distributed in the device, capturing efficiency is improved, meanwhile, the contact area of the fragrance and a capturing medium is enlarged, the adsorption effect is enhanced, and therefore more stable airflow is provided, normal operation of the device is maintained, the collection process of the fragrance is accelerated, and collection time is shortened.

A method for obtaining key attributes of canopy trees based on unmanned aerial vehicle oblique photography relates to the field of image data processing, and comprises the following steps: S1, unmanned aerial vehicle oblique photography, S2, DSM data splicing, S3, DEM data obtaining, S4, data processing, and S5, forest key factor extraction. According to the method, a large area can be covered in a short time, the image data of the forest trees can be rapidly collected, indoor data analysis is carried out, key attribute elements of the trees are obtained, the cost is only one tenth of that of traditional manual investigation, and almost no personnel safety risk exists. And simultaneously. Position signals are obtained in the air, the positioning precision is high, the tree tip position is recognized through an algorithm, the geographic coordinates and the height of the tree are obtained, and the data precision is high; image data are collected through different angles such as inclination, the tree height and crown breadth are identified through an algorithm, manual intervention is greatly reduced, and the investigation efficiency and precision are improved.

The invention discloses an analysis method for high blank value of metal sample element detection, and relates to the field of metal sample detection and analys.The analysis method comprises the steps that initial measurement parameters of X-ray fluorescence spectrometry are set; the method comprises the following steps: processing metal sample detection data by adopting corrected experimental parameters of instrument correction data, acquiring component content according to the metal sample detection data to set next detection time, adjusting measurement parameter setting according to the processed metal sample detection data, carrying out multi-group multi-time detection on the same metal sample again, and analyzing the metal sample data. By reasonably distributing time and instrument occupation, the efficiency of measurement, acquisition, statistics and analysis is improved.

The invention provides a brewing system, a control method and a coffee machine. Specifically, the brewing system comprises at least two extraction structures, the at least two extraction structures are communicated with a liquid outlet component, any one extraction structure comprises an extraction unit, an extraction cavity is formed in the extraction unit, the extraction cavity is communicated with the liquid outlet component, and the liquid outlet component is communicated with the extraction cavity. The extraction cavity is used for extracting espresso coffee in the capsule in the extraction cavity; the switching component is communicated with the extraction cavity and is used for regulating and controlling the on-off state of the water body entering the extraction cavity; the at least two extraction structures are adopted, multiple capsules can be extracted at the same time, the coffee obtaining amount is increased, the concentration of coffee drinks cannot be affected, and the taste and quality of the coffee drinks are guaranteed; and the at least two extraction structures share one liquid outlet component, so that coffee with different tastes can be mixed and blended, and different requirements of users are met.

The invention discloses a method for simulating phosphorus and chromium migration during farmland irrigation with acid mine wastewater, which comprises the following steps: mixing a plant-derived organic material with deionized water to obtain a soluble organic matter; h2O2 oxidizes Fe < 2 + > to prepare pure Schwertmannite, and the pure Schwertmannite is placed in a phosphate solution to obtain phosphorus-loaded Schwertmannite; mixing the phosphorus-loaded Schwertmannite and the soluble organic matter with a chromate solution, carrying out oscillation adsorption, carrying out solid-liquid separation after adsorption, carrying out CrO and POconcentration change test on filtrate, and carrying out mineral characterization on separated solids; a three-dimensional fluorescence spectrum is adopted to track composition conversion of the soluble organic matter in the reaction process; and analyzing the component change of the supernate before and after the reaction by adopting Fourier transform ion cyclotron resonance mass spectrometry. The influence mechanism of DOM on phosphorus and chromium fate in mineral / water interface molecular fractionation is disclosed from the molecular level, and a scientific basis is provided for collaborative migration risk assessment of phosphorus and heavy metal in acid mine wastewater irrigation area farmland.

The utility model discloses a kind of for electrophoresis film's storage and interpretation device, it is related to electrophoresis film device technical field, including hinged rotation connection's first frame body and second frame body, the first frame body and second frame body are equipped with placing cavity, the placing cavity is equipped with the light plate group that can emit light, the first frame body and second frame body are rotatably connected with cover plate, the rotating direction of the cover plate is perpendicular to the hinged rotating direction of the first frame body and second frame body, the light plate group is connected battery and controller.The utility model is to provide a kind of for electrophoresis film's storage and interpretation device, it is convenient to carry, and good protection performance, reduce the surface abrasion of light plate group and internal element damage risk, prolong service life, guarantee its optical performance stable.

The invention relates to a prediction method, in particular to a pinus koraiensis pine cone yield prediction method which comprises the following steps: S1, unmanned aerial vehicle oblique photography, S2, image processing, S3, orthographic splicing, S4, pine cone recognition and S5, yield prediction. According to the method, a large area can be covered in a short time, Korean pine image data can be rapidly acquired, indoor data analysis is carried out, the acquisition cost is only one tenth of that of traditional manual investigation, and almost no personnel safety risk exists. According to the method, the unmanned aerial vehicle is adopted to collect data, the efficiency is high, investigation can be carried out in a slightly allowed aerial photography window period in weather, the flexibility is high, the influence of topographic elements and accumulated snow elements is small, and the adaptability is high. The method comprehensively investigates the measurement area, identifies the positions and number of pinecones through an algorithm, greatly reduces manual intervention, and improves the investigation precision.

The present invention proposes a method for quantitatively detecting the hydroxyl value of terminal hydroxyl polybutadiene compounds, and belongs to the technical field of detection of high molecular polymers. The method comprises the following steps: using a mixed monolayer loading method or a three-layer loading method, HTPB sample solution, DCTB matrix solution and silver trifluoroacetate solution are applied to a sample target, dried naturally, and co-crystallized between the sample solution and the matrix solution to form a thin layer, and the thin layer is subjected to MALDI-TOF MS analysis to obtain a sample ion peak, and the sample ion peak is calibrated, and the amount of the substance of the terminal hydroxyl polybutadiene is calculated according to the number average molecular weight of the terminal hydroxyl polybutadiene, and the content of the terminal hydroxyl group is calculated according to the ratio of different hydroxyl end structures. The method for quantitatively detecting the terminal hydroxyl value of a polymer of the present invention has simple sample preparation, high accuracy, no strict requirements on the purity of the sample, rapid data acquisition, simple processing, and is more suitable for rapid quantitative detection.

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 present invention relates to the technical field of Internet of Things, and discloses a water affairs intelligent alarm method and device based on a water affairs big model, the method comprising: constructing an IOT sensor group of a water treatment component, calculating the real-time coefficient of the IOT sensor group, and when the real-time coefficient meets the preset standard real-time coefficient, collecting the water output index data of the water treatment component corresponding to the water output index; constructing a sequence state curve of the water output index; using a trained water affairs early warning model to analyze the sequence index analysis value of the water output index, and based on the sequence index analysis value, constructing a state analysis curve of the water output index; fitting the sequence state curve and the state analysis curve to obtain an index state curve, calculating the index abnormality coefficient of the index state curve, and constructing an abnormal early warning report of a water affairs scene based on the index abnormality coefficient; constructing a multimodal alarm strategy for the abnormal early warning report, and executing an intelligent alarm for a water affairs scene. The present invention can improve the intelligent alarm effect for a water affairs scene.

According to the intelligent LED street lamp hardware system based on the wireless network, the networking technology that LED lighting is matched with multi-sensor feedback, wireless ZigBee-k and the 5G technology is adopted, the remote operation and maintenance capacity is provided, and the problems that an existing street lamp system is too large in light source power consumption, low in system intelligent control degree and weak in maintenance capacity are effectively solved; an overall scheme of a street lamp management center, a monitoring substation and a street lamp low-energy-consumption control terminal is designed, control background software is based on a 5G network, street lamp low-energy-consumption control terminal hardware equipment is connected with an intelligent control substation through ZigBee-k, the intelligent control substation processes and accesses a background management system through a 5G terminal at the same time, real-time interaction of data is achieved, and the street lamp low-energy-consumption control terminal is connected with the intelligent control substation. A ZigBee-k short-distance wireless communication technology is adopted between the monitoring substation and each street lamp low-energy-consumption control terminal and between the monitoring substation and each street lamp low-energy-consumption control terminal and each street lamp terminal, new broadband communication 5G is greatly improved in the aspects of data rate and delay capacity, interaction and application are enhanced, and the requirements of an intelligent street lamp system are met.

The present invention discloses a method and system for batch extracting geological information based on CAD drawings. The method comprises: step 101, preprocessing a geological longitudinal section CAD drawing; step 102, redefining the layer name of the upper boundary line of each soil layer with the rock and soil category number as the name; step 103, importing a stratum code table and a bridge mileage table, and drawing pier position lines; step 104, calculating the coordinates of the intersection of each pier position line and the boundary lines of each soil layer; step 105, calculating the thickness of each soil layer, recording the soil layer name, and generating a table containing all pier position stratum data.

The invention relates to the field of big data, and particularly provides a big model information mining method and system, and the method comprises the following steps: S1, determining a dialogue information relationship based on a knowledge graph, carrying out the database construction and graph definition of dialogue information in the capital construction field, and selecting a knowledge graph algorithm to carry out the extension association of the structure of data information; and S2, mining data information by parallel similarity relationships under a big data technology, and on the basis of determining an isomorphic relationship between dialogue information, associating the similarity relationships by adopting the big data technology so as to provide support for subsequent data mining. Compared with the prior art, the big data technology can be adopted, the data obtaining efficiency can be optimized, the data mining, collecting and analyzing quality can be improved, and compared with a traditional data mining algorithm, higher mining precision is achieved.

The invention relates to the technical field of credible PNT, in particular to a typical credible PNT client architecture which comprises a PNT information source, an authentication module, an alarm module and a toughness module which are included in the architecture, and credible PNT information with basic capacity, protection capacity, alarm capacity and toughness capacity is provided for a user; the method comprises the following steps: comparing time service and latitude and longitude information acquired based on each information source to determine whether each piece of PNT information is qualified, and when determining that unqualified PNT information exists, adjusting the acquisition frequency of the PNT information to increase the data acquisition amount, processing each piece of re-acquired PNT information, and determining a final credible PNT information acquisition mode according to the qualification rate of each piece of data. According to the method, the abnormal source is determined, the determined abnormal source is processed, the credible PNT information acquisition mode is determined in a targeted manner, the information of each information source is fused in a targeted manner, and the PNT information acquisition efficiency is effectively improved.

The invention relates to the field of hydraulic engineering cost evaluation, in particular to a hydraulic engineering cost early-stage evaluation method, which comprises the steps of data acquisition and processing: collecting data related to hydraulic engineering cost from multiple channels by using a big data technology, including historical project data, market information and project quota, the data quality is improved by means of data cleaning and preprocessing; through index screening, the novel evaluation method can make full use of big data and artificial intelligence technologies, the acquisition and processing capability of evaluation data is improved, and thus the evaluation accuracy is improved; according to the novel evaluation method, the evaluation process is simplified, the evaluation efficiency is improved, and the evaluation period is shortened; the novel evaluation method can perform adaptive adjustment for hydraulic engineering projects of different types and different scales to meet actual requirements; the proposal and application of the novel evaluation method are helpful for promoting the innovative development of the water conservancy project cost evaluation industry.

This invention provides a tear collection patch, comprising, from near to far from the eye, a biomimetic flexible substrate, a superhydrophilic drainage layer, a storage cavity, and a sealing cap. The superhydrophilic drainage layer includes a hydrophilic medical fiber membrane and a superhydrophilic coating. The hydrophilic medical fiber membrane is prepared by electrospinning medical hydrophilic fibers, and the superhydrophilic coating is formed by immersing the hydrophilic medical fiber membrane in a superhydrophilic coating solution and then curing it. The biomimetic flexible substrate has a biomimetic adhesive layer that automatically adheres to the target location. The superhydrophilic drainage layer absorbs tears into the storage cavity. This invention achieves instantaneous tear absorption and painless adhesion by designing a drainage layer with superhydrophilic properties and a biomimetic adhesive substrate working synergistically. The biomimetic adhesive substrate reduces the risk of corneal irritation, ensuring that the collected tears are in a normal physiological state rather than due to stress secretion, thus solving the problems of reliance on manual operation and low efficiency in traditional collection methods.

A segmented planar imaging system based on a beam splitter includes a lens array comprising lens columns. Microlenses within each lens column are paired to form baselines. These baselines are formed by the interference of light rays from two microlenses as a set of interference beams. Each microlens has two baseline formation methods. The imaging system also includes a photonic integrated circuit and an image processing module. The photonic integrated circuit includes an integrated beam splitter, an arrayed waveguide grating, waveguide transmission lines, and multiple balanced quadrature detectors. Each lens column is connected to one photonic integrated circuit. In this segmented planar imaging system, each microlens participates in forming two baselines via a beam splitter, and individual interferometer arms employ complementary baseline pairing methods. This increases the acquisition of spatial frequency information lacking in traditional systems, further improving the imaging quality of the system.

The utility model relates to the technical field of traffic signal lamps, and discloses a movable traffic signal lamp, which comprises a base, the top of the base is fixedly connected with a fixed rod, the upper part of the fixed rod is fixedly connected with a signal lamp, the inside of the fixed rod is fixedly connected with a shunt pipe, and the surface of the shunt pipe is fixedly connected with a spray head. A filter screen is arranged in the base, a recycling pool is arranged in the base, a water pump is fixedly connected to the interior of the base, and an adjusting assembly is arranged at the top of the fixing rod and comprises a motor. According to the signal lamp cleaning device, rainwater is filtered by the filter screen or injected into the recycling pool, the water pump is started, water in the recycling pool can be pumped out, the pumped water is conveyed to the spray head through the flow dividing pipe, the spray head conducts even water spraying and cleaning operation on signal lamps in multiple directions from top to bottom, the signal lamps are cleaned, water resources can be recycled, and the environment is protected. And the practicability of the equipment is greatly improved.

The biopsy tool for minimally invasive centrum tissue taking comprises a sleeve assembly and a sampling assembly which are sequentially arranged from outside to inside, the sampling assembly comprises a sampling handle and a sampling shaft vertically fixed to the lower end of the sampling handle, the sampling shaft penetrates through the sleeve assembly, and a grabbing head is installed at the end, penetrating through the sleeve assembly, of the sampling shaft. The grabbing head extends out of the sleeve assembly, the sleeve assembly is in threaded connection with the sampling shaft, the sampling shaft moves up and down when rotating, and the grabbing head is driven by the sampling shaft to change the form and / or position. The pathological tissue locking device can firmly lock the obtained pathological tissue in the working process, and the pathological tissue is prevented from falling off when the device retreats.

The invention discloses a key data extraction method and system, and the method comprises the following steps: obtaining work order data, and carrying out the preprocessing of the work order data; key element information data extraction is carried out on the preprocessed work order data; and integrating the extracted key element information data. The work order content is comprehensively, accurately and efficiently analyzed based on the artificial intelligence technology, the key elements are extracted, and the problems that traditional manual processing is low in efficiency, high in subjectivity, prone to making mistakes and the like are solved.

The present invention discloses a fault detection device and method for electric power equipment, including a tripod, a screw diameter adjustment assembly is installed at the end angle position of the outer wall of one side of the tripod, and a straight-mouth pressure arm is hinged on the outer wall of the tripod on one side of the screw diameter adjustment assembly, and a double-wheeled electric walking module for moving the tripod forward along the extension direction of the cable is installed on the outer wall of one side of the straight-mouth pressure arm, and the screw diameter adjustment assembly allows the straight-mouth pressure arm and the double-wheeled electric walking module to approach or move away from the cable. The present invention enables the double-wheeled electric walking module to be effectively pressed on the cable to be detected, and introduces a bevel gear pushing mechanism that works together with the screw diameter adjustment assembly, so that the device can effectively prevent foreign matter from entering the current transformer during the cable detection process, ensure the cleanliness of the cable detection area, and enable the current transformer and the partial discharge detector to accurately capture the real state of the cable, thereby improving the detection accuracy.

The invention provides a water quality safety automatic detection and alarm device which comprises a base, a first supporting block is installed on the upper end face of the base, a second supporting block is installed on the upper end face of the base, and a water taking assembly is installed on the second supporting block; a detection alarm assembly; the detection alarm assembly comprises a first rotating motor installed on the lower end face of the base, a motor shaft of the first rotating motor rotationally penetrates through the base and is fixedly connected with a supporting block, placing structures are installed at the two ends of the supporting block, each placing structure comprises a fixing block fixedly installed on the supporting block, and a hole is formed in each fixing block. According to the invention, multi-depth and multi-time detection of a water body can be completed, the accuracy is improved, the operation steps of workers are reduced, the labor force of the workers is reduced, and the workers can conveniently collect detected water body samples for further detection and investigation.

The invention relates to the technical field of measuring instruments, and particularly discloses an efficient roof slope measuring instrument, which comprises a support frame, a measuring assembly and a calibration assembly, and is characterized in that a driving part is arranged between a connecting arm and a fixed seat, so that when a base reaches a preset first height, a 30-degree included angle is formed between a supporting leg and the central axis of the fixed seat, and universal wheels are not in contact with the ground; when the base reaches a preset second height, an included angle of 45 degrees is formed between the supporting legs and the central axis of the fixed seat, and only the universal wheels are in contact with the ground; the measuring assembly comprises a shell, a laser receiver and an LED control panel; the controller is used for collecting, processing and storing signal data information, managing all related information and displaying the information in a form mode. The roof slope gradient measuring device is convenient to quickly unfold and fold, is convenient to move, always ensures the stability in a measuring state, optimizes an algorithm design signal acquisition and processing process in a gradient measuring operation process, and greatly improves the roof slope gradient measuring efficiency and precision.

The application provides a method for processing message queue consumption exception, which comprises the following steps: controlling a consumer to acquire data to be processed from a message queue according to a preset first consumption mode; processing the format of the data to be processed; writing the processed data into a database; acquiring an actual failure probability value of the processed data written into the database; acquiring a probability difference value between the actual failure probability value and a preset failure probability value; acquiring a preset second consumption mode corresponding to the probability difference value according to the probability difference value; and acquiring data to be processed from the message queue according to the preset second consumption mode. The application improves work efficiency.

The present invention provides a method for realizing full-category business management in an electronic manner, which is mainly based on the product management system to realize the centralized integration, classification management and standardized display of multiple business products, unify the caliber of the enterprise's external promotion of multiple business products, break the information barriers between multiple business products, and reverse the one-sidedness and incompleteness of business product information transmission, and provide marketing personnel with a system tool for the expansion of all business categories. Through the dual-end efforts of front-end display + back-end management, business category labels are applied to realize the intelligent classification and group display of business products, so that user groups can accurately access business product information through category labels. At the same time, user traffic data dashboards, product operation data dashboards, real-time collection, storage, and analysis of user data and business product data in the system are constructed, and multi-dimensional analysis and application of various types of data generated by the system platform are performed to provide data support for enterprises to conduct market management and market expansion.

The application discloses a kind of methods and systems for improving nursing quality quality control data processing, solve the pain points of traditional nursing quality quality control risk discovery lag, rectification landing difficult, effect non-quantization, problem repeatedly occurs.The application is connected to hospital multiple systems and equipment to complete quality control data acquisition and standardization processing, constructs nursing event six-dimensional portrait data model;Combined with natural language processing technology, unstructured nursing data is analyzed, and a risk prediction model is constructed based on machine learning to realize graded early warning;Through structured work order, rectification whole-process closed-loop management and control are realized, and a multi-dimensional quantitative evaluation system is established to complete effect verification and continuous optimization.The application realizes the change of nursing quality quality control from post-response to pre-control, ensures rectification landing, and promotes continuous and stable improvement of nursing quality.