106results about How to "Get quickly" patented technology

The invention relates to the technical field of mine potential safety hazard identification, in particular to a mine potential safety hazard identification method and system based on an unmanned aerial vehicle. The method comprises the following steps: acquiring a global image of a mining area by using an unmanned aerial vehicle camera, and constructing a three-dimensional model; thirdly, performing rock-soil landslide probability estimation through weathering erosion mechanism reduction in combination with the three-dimensional model and the global image, and calculating landslide coercing force potential energy increment; then, according to the landslide probability and the coercing force incremental data, carrying out risk grade endowing on the local area of the mining area; and finally, constructing a mine potential safety hazard identification optimization model based on the risk level, and sending the model to a terminal for potential hazard identification. According to the invention, the mine potential safety hazard identification technology is optimized, so that the mine potential safety hazard identification technology is more perfect.

The invention discloses an agricultural precision planting pre-training and fine-tuning training method based on an AI large model. Based on a deep learning technology, key information is obtained from large-scale agricultural data, an optimal planting mode is predicted, and the crop yield and quality are improved. Through analysis of historical data and real-time monitoring, peasants are predicted and reminded about possible plant diseases and insect pests, so that measures are taken in advance. For different regions and different environmental conditions, the model can adapt to specific planting requirements through fine adjustment, and the universality and accuracy of the model are improved. The prediction of soil, weather and plant growth modes provides intelligent decision support for agricultural production, helps farmers to optimize a planting scheme, improve the yield and reduce resource waste, thereby improving the scientization and production benefits of agriculture. The model can help farmers to scientifically plant, improve crop yield and quality, save resources, reduce environmental burden and promote agricultural sustainable development.

The invention discloses a distributed collaborative modularized rapid detection method and device for a box-type substation, and the method comprises the following steps: enabling each distributed module to judge whether the distributed module has a fault possibility or not based on collected operation data; the distributed module with the fault possibility initiates an abnormal signaling; after the other distributed modules receive the abnormal signaling, whether correction characteristic parameters of the other distributed modules are filled in corresponding positions in the abnormal signaling or not is confirmed, and the abnormal signaling is sequentially transmitted among all the other distributed modules; and summarizing all the obtained correction characteristic parameters, calculating a posterior fault probability by the distributed module which initiates the abnormal signaling, and judging that a fault exists when the posterior fault probability exceeds a set threshold value. According to the distributed architecture, the bottleneck of a centralized system is avoided, the modules are processed in parallel, and the detection efficiency is improved. Through the feature correlation model, interference of redundant information is avoided, and the accuracy of fault judgment is improved.

The invention belongs to the technical field of ecological environment protection, and particularly relates to a method and system for determining a biodiversity key area based on the population number in an area range, and the method comprises the steps: collecting and analyzing key data, such as an environment influence coefficient, a species diversity index and a population density value; and combining the established threat factor quantification standard and the weight distribution system, and adopting a scientific calculation model to obtain the threat coefficient of each sample region. Then, through setting a reasonable threat coefficient threshold value, screening out a key region of biodiversity protection; spatial analysis is carried out by utilizing a GIS technology, distribution and mutual relations of the key areas in geographic space are determined, and priority ranking is further carried out according to threat degrees and protection values. The invention aims to provide accurate, rapid and resource-focused decision support for biodiversity protection.

The invention relates to a multi-modal human intention understanding system based on brain cognition inspiration, which comprises a multi-modal information acquisition unit, an intercrossing attention enhancement unit, a self-crossing attention enhancement unit, a source modal updating unit, a self-adaptive multi-modal information fusion unit and a continuous-dimension emotional intention understanding unit, and a fine-grained behavior intention understanding unit. Compared with the prior art, the method has the advantages that effective feature semantics from language, audio and video modalities are fully fused, efficient multi-modal modeling is realized by utilizing attention mechanisms in different strengthening and updating units, and human emotion and behavior intention understanding in a multi-task mode is further completed; the problems of low human intention understanding accuracy, insufficient multi-mode utilization rate, poor system robustness and the like in a real application scene are effectively solved.

The invention discloses an automatic construction system for financial data management, and relates to the related technical field of financial data management, and the system comprises a user interface module which is used for providing an intuitive graphical interface, and enabling a user to construct an application process in a mode of dragging a component; the business logic module is used for calculating the production cost of the product and automatically generating an asset balance sheet, a profit sheet and a cash flow sheet; and the financial trend prediction module needs historical financial data as input, the user inputs financial data and related characteristics, and the model outputs a prediction result. An automatic data processing and report generating system can be rapidly constructed through an automatic tool, the labor burden is relieved, a low-code platform system allows a user to customize and adjust the financial process in a visual mode, the individual requirement can be met without compiling a large number of codes, and the user experience is improved. The LLM technology can provide natural language understanding and intelligent analysis ability, and assists non-professionals in deep financial insight and strategic decision making.

The utility model discloses an automobile shell temperature sensor, which relates to the technical field of sensors and comprises an aluminum alloy conduction component connected with an automobile shell, and the aluminum alloy conduction component is provided with a fitting piece and a fixing part. An embedding hole is formed in one end of the attaching piece; the fitting piece and the fixing part are integrally arranged, and the fixing part is hollow and is communicated with the embedding hole; according to the automobile front bumper, the bolts are arranged in the through holes, the attaching piece can be tightly fixed to the automobile front bumper, and therefore the situation that the attaching piece falls off in the long-distance running process is avoided; the wire is tightened and fixed through the tightening opening above the fixing part, so that the fixing effect of the wire and the fixing part is improved, and the connecting capacity is improved; the clamping grooves are tightly attached and fixed to the protruding points on the front bumper, so that the attaching effect of the sensor probe and the front bumper can be guaranteed, and sensing and obtaining of the temperature of the front bumper by the sensor probe are improved.

The invention provides an expansion board card, a peripheral equipment safety detection device, a peripheral equipment safety detection method and a medium. The expansion board card comprises a first expansion connector, a microcontroller, a first power supply connector, a current monitoring chip, a storage chip, an input and output expansion chip and a peripheral equipment slot, the voltage output end of the power connector is connected with the microcontroller, and peripheral equipment is connected to the peripheral equipment slot; the current monitoring chip is connected with the microcontroller based on a current interface, the input and output expansion chip is connected with the microcontroller based on an input and output expansion interface, the peripheral equipment slot is connected with the microcontroller based on a peripheral equipment interface, and the storage chip is connected with the microcontroller based on a storage interface. The microcontroller is connected with the first expansion connector based on the microcontroller interface. And a function of monitoring the power supply current of the board card to the peripheral equipment and obtaining the current state of the expansion board card are added, so that a hardware basis is provided for realizing the safety detection of the peripheral equipment.

The invention belongs to the technical field of drug clinical evaluation, and particularly relates to a drug clinical evaluation method and system based on big data and artificial intelligence, and the method comprises the steps: S1, constructing a default evaluation template; constructing a user-defined index library; s2, constructing an evidence database; s3, establishing a mapping relationship between each drug evaluation index and the business field of each evidence database; s4, on the basis of the default evaluation template and the self-defined index library, establishing an evaluation index system of the medicine according to specific requirements of medicine evaluation; s5, based on the mapping relationship between each medicine evaluation index and the business field of each evidence database, obtaining the corresponding evaluation evidence of the medicine from the evidence database by using each medicine evaluation index of the evaluation index system; and S6, sending the evaluation index system of the to-be-evaluated medicine and the corresponding evaluation evidence to an evaluation end for evaluation, and obtaining a clinical evaluation result of the medicine. According to the method, the evaluation accuracy and efficiency can be improved, and the objectivity and consistency of evaluation results are ensured.

The invention belongs to the technical field of berth distribution, and discloses a dry bulk cargo wharf berth distribution and ship loader combined dispatching system based on self-adaptive MOEAD. The invention provides a dry bulk cargo wharf berth allocation and ship loader combined dispatching system based on self-adaptive MOEAD. The system comprises an input module, an algorithm module, a berth allocation module, a loading and unloading dispatching module, a notification module, a control module, a loading and unloading operation module and a port leaving module. The input module is connected with the scheduling module and is used for inputting a ship plan table; the scheduling module is connected with the berth distribution module and the loading and unloading scheduling module and is used for scheduling through a scheduling algorithm; the berth distribution module is connected with the notification module and is used for carrying out berth distribution on the ship; and the loading and unloading scheduling module is connected with the control module and used for scheduling loading and unloading equipment. The operation efficiency of port loading and unloading is improved. The energy consumption of port loading and unloading equipment is reduced; the algorithm is high in convergence speed and has good convergence and distribution.

The invention provides an infrared radiation calibration precision test method based on a Boltzmann constant, and the method comprises the steps: enabling a reference black body to be switched into an infrared camera light path in a satellite in-orbit calibration mode, carrying out the full-aperture calibration, and obtaining the temperature of the black body, the state of a platinum resistor, and other parameters; acquiring calibration data such as gain and bias released by a calibration responsibility unit; calculating black body radiation brightness according to the Planck radiation law; radiance is calculated according to data such as calibration parameters and pixel DN values; constructing a precision test variable S1; according to data such as blackbody temperature, wavelength and radiation brightness, calculating a Boltzmann constant value under a specific inversion condition; constructing a precision test variable S2; and data such as variance, deviation and sensitivity are further calculated on the basis of S1 and S2, and the calibration precision is finely inspected and judged.

The invention discloses a method for evaluating the operation area and operation quality of multiple agricultural machines in the same farmland plot in real time. The method comprises the steps of information collection, drawing of an available cultivated land plot representation graph, agricultural machine track drawing, calculation of an initialized agricultural machine track area, calculation of task completion degree and agricultural machine operation quality evaluation. According to the method, the problems of operation area measurement and operation quality evaluation when multiple agricultural machines cooperatively operate on the same farmland plot are effectively solved, and scientific operation suggestions can be provided for farmers, the operation process can be optimized and the overall benefits of agricultural production can be improved by combining accurate measurement of the real-time operation area and real-time evaluation of the operation quality.

The invention provides an anoxic and endogenous formaldehyde dual-response supramolecular fluorescent probe as well as a preparation method and application thereof, and belongs to the technical field of fluorescent probes. The supramolecular fluorescent probe provided by the invention is composed of azobenzene calixarene and a formaldehyde response fluorescent probe included in the azobenzene calixarene. The supramolecular fluorescent probe provided by the invention can simultaneously respond to oxygen deficit and high endogenous formaldehyde microenvironment characteristics and generate a stronger near-infrared fluorescent signal for analysis and detection, so that false positive signal interference is reduced, high-specificity imaging under tumor microenvironment conditions can be realized, and a new mode is provided for precise imaging of tumors. Compared with the existing fluorescent probe, the supramolecular fluorescent probe provided by the invention combines the detection of two important biomarkers in the tumor generation and development processes, and does not need to introduce a large-volume targeting group into the molecule; the preparation method is simple, the structure is novel, the imaging performance is excellent, and the tumor is accurately subjected to near-infrared fluorescence imaging tracing.

The invention discloses a food mixing uniformity detection method and system based on artificial intelligence, and relates to the technical field of food processing.The method comprises the following steps that an image of the surface of a food mixture is obtained and preprocessed; extracting mixture features from the preprocessed image, analyzing the mixture features and evaluating the uniformity of the surface of the food mixture; acquiring the conductivity distribution of the food mixture by using a food mixture inversion algorithm; based on the obtained conductivity distribution of the food mixture, evaluating the internal uniformity of the food mixture; and comprehensively evaluating the uniformity of the food mixture by combining the evaluation results of the surface uniformity of the food mixture and the internal uniformity of the food mixture. By acquiring the surface and conductivity distribution of the food mixture and analyzing the uniformity of the food mixture, the uniformity of the food mixture can be comprehensively detected, the quality control level in the food processing process can be improved, and the production efficiency and the product quality stability are improved.

The invention discloses a method and system for generating a text summary according to a chart, and the method comprises the steps: obtaining a public data set, which comprises a high-quality chart and text summary information corresponding to the chart, on a network as a training sample, taking the high-quality chart as an input sample, and taking the text summary corresponding to the chart as an output label, constructing a training data set, and obtaining a text summary; the training data set is used for training an original graph summarization generation model, and the graph summarization generation model comprises an encoder of a variational self-encoding model VAE, a decoder of the variational self-encoding model VAE, a character summarization generation model established by using a decoder with a mask of a Transformer deep learning model, and a loss function layer; and inputting the target charts into the trained chart summarization generation model, and outputting text summarization information corresponding to each target chart, so as to help a decision maker to quickly acquire information in the charts, and improve information acquisition efficiency and decision accuracy.

The present invention relates to the technical field of rotary transformers, and its implementation method provides a method, device and equipment for determining the wiring fault of a rotary transformer. The method for determining the wiring fault of a rotary transformer includes: determining that the rotary transformer operates in a DQ axis current closed loop mode, obtaining the correspondence between at least one set of current and position signals of the rotary transformer in the DQ axis current closed loop mode; mapping the theoretical position corresponding to the current and the solution position obtained by decoding the position signal to a plane rectangular coordinate system, obtaining the position relationship between the theoretical position and the solution position based on the coordinate axis, and determining the wiring fault in the primary winding connection, the first secondary winding connection and the second secondary winding connection according to the position relationship. The implementation method provided by the present invention can improve the efficiency of determining the wiring fault of a rotary transformer.

The invention relates to an invisible pickup noise reduction earplug and method, and relates to the technical field of noise reduction, the invisible pickup noise reduction earplug comprises a shell, a noise reduction structure, a power supply structure and an invisible pull-out structure; the shell is matched with an ear canal in appearance and is provided with a mounting hole; the noise reduction structure is arranged in the shell and comprises a sound receiving unit, an ARM processing unit and a sound production unit which are electrically connected in sequence; the power supply structure is electrically connected with the ARM processing unit and is used for supplying power to the noise reduction structure; the invisible pull-out structure is mounted at the mounting hole, the invisible pull-out structure comprises a protruding part, and at least part of the protruding part is arranged outside the shell. The device has the effect of being convenient to take out.

The present application discloses a block addressing method, device, storage control chip and storage medium. The method includes: reading and loading a pre-stored block address table; using the block sequence number of the current binding block as an index factor to locate the information area to which the current binding block belongs in the block address table; calculating the block address according to the addressing algorithm based on the parameter data matched by the information area to which the current binding block belongs; and completing the writing or reading of the Flash according to the block address corresponding to the current binding block. By using the block sequence number of the binding block as an index factor to quickly locate the information area to which the binding block belongs in the block address table, and according to the parameter data of the information area matched by the binding block, the block address is obtained according to the addressing algorithm, so that the block address of the binding block can be quickly obtained, the addressing efficiency is improved, and the reading and writing acceleration is realized.

The invention provides a liquid viscosity measuring device and method.The device comprises a measuring container used for containing liquid to be measured, the top face of the measuring container is in a cone shape extending outwards, a closed control cavity is formed in the top end of the measuring container, and the inner diameter of the control cavity is smaller than the diameter of a measuring steel ball; the measuring steel ball is arranged in the measuring container; the rotating mechanism is used for driving the measuring container to rotate by 180 degrees around the horizontal axis of the measuring container, so that the measuring container is switched between an upright state and an inverted state; one end of the control cavity is directly communicated with the interior of the measuring container, the other end of the control cavity is communicated with the interior of the measuring container through a first pipeline provided with a first stop valve, and the other end of the control cavity is further provided with a pressure relief device used for adjusting the internal pressure of the control cavity. According to the invention, the ball falling time can be accurately measured, so that the liquid viscosity measurement precision is improved.

The invention discloses a resource scheduling method, a database system and electronic equipment, and relates to the technical field of cloud computing, the database system comprises a main node, a first segment node group and a second segment node group, and the first segment node group and the second segment node group both comprise all segment instances of the database system. The segmented instances include a main instance and a mirror instance. The main instance in the first segment node group corresponds to the mirror instance in the second segment node group. The mirror instances in the first segmented node group correspond to the main instances in the second segmented node group. And the main node calls the segment instance in the first segment node group or the segment instance in the second segment node group to perform data processing in response to the data processing request. By applying the technical scheme of the invention, only the resources of a part of segment nodes need to be called during data processing, so that the resource overhead is reduced, and the data processing performance of a database system is improved.

The invention relates to the technical field of intelligent decision and finance, and discloses an information verification method and device based on an analysis engine, equipment and a medium, and the method comprises the steps: calling enterprise external information through employing a pre-obtained instruction; analyzing the enterprise external information through a preset analysis engine, and packaging an analysis result to obtain packaged data; obtaining enterprise internal information, extracting a key field of the enterprise internal information, and performing transmission query on the packaged data through the key field to obtain query result data; and verifying the query result data and the enterprise internal information according to a preset verification standard to obtain a verification result. Through comprehensive arrangement of internal information of an enterprise and comparison and verification of the internal information and external information, latest data is acquired in real time, and information acquisition and analysis quality is improved at the same time, so that the operation condition of a company is accurately grasped, and an enterprise management layer is supported to make a more accurate and more effective business decision.

The invention relates to the technical field of Chinese chestnut nutritional ingredient detection, and discloses a Chinese chestnut nutritional ingredient rapid determination system and method based on spectral quantitation, components of Chinese chestnuts are determined through a determination module, determination results are sent to a data acquisition module, and the data acquisition module numbers and records the determination results. The random Chinese chestnut sample data and the carefully selected high-quality Chinese chestnut sample data are classified and stored as a random sample data set and a carefully selected sample data set to be sent to the evaluation module, and the evaluation module calculates a random sample nutritional ingredient value, a carefully selected sample nutritional ingredient value and a comprehensive nutritional ingredient value according to the data sets; the evaluation module sends a calculation result to the comparison module, the comparison module compares a comprehensive nutritional ingredient value with a conventional nutritional ingredient value, judges the nutritional degree of the current Chinese chestnuts and sends the nutritional degree to the feedback module, and the feedback module generates a feedback report, so that the advantages that rapid detection is realized, waste of samples is avoided, and the detection efficiency is greatly improved are achieved.

This invention discloses a method for restoring turbulent degradation images based on complex amplitude detection, belonging to the field of computational optics imaging technology. This method constructs a computational optics imaging system without a hardware correction unit. It utilizes a wavefront sensor and an imaging sensor to simultaneously acquire Hartmann images and target degradation images. A computational unit performs wavefront complex amplitude reconstruction and aberration correction. Based on this, a physically constrained end-to-end neural network architecture is designed. By reconstructing the wavefront complex amplitude, it achieves accurate mapping and inference from the Hartmann image to the point spread function of the imaging system. Finally, a multi-scale deconvolutional network is combined to complete high-quality restoration of the turbulent degradation image. This invention eliminates the need for a hardware corrector, overcomes the physical limitations of traditional adaptive optics, effectively solves the problem of insufficient point spread function accuracy, and enables time-delay-free and highly efficient turbulent image restoration under low-cost conditions.

The present invention relates to the technical field of information system construction, and in particular to a method for constructing a hepatobiliary surgery decision support system based on case reasoning. The method comprises the following steps: obtaining historical case information data of hepatobiliary surgery and establishing a connection with a hepatobiliary surgery case library to generate a hepatobiliary surgery case decision management database; obtaining new case information data of hepatobiliary surgery input by a user and performing case feature vector conversion and KD tree similar case retrieval processing, while performing case neighbor reasoning decision support analysis to obtain new case neighbor reasoning decision support results of hepatobiliary surgery; performing system architecture development and design on the case neighbor reasoning mechanism process corresponding to the new case neighbor reasoning decision support results of hepatobiliary surgery and uploading it to a cloud platform for system integration and pilot testing to construct a hepatobiliary surgery case decision support system. The present invention can help hepatobiliary surgery cases improve the scientificity and accuracy of decision support.

The invention provides a deep space star catalogue multi-detector air-ground collaborative deployment method based on reinforcement learning, and belongs to the technical field of planet surface detection. According to the method, a leap device and a patroller serve as detectors to cooperatively detect an unknown area of a deep space star catalogue, three types of communication channels are established between the detectors, and the communication radius between the different detectors is calculated; the method comprises the following steps: establishing constraints in the aspects of communication range, sensing range, coverage mode and energy, and setting an optimization target to keep communication connection between detectors under limited energy and maximize the total coverage area of the detectors; a leap device and a patroller are used as two agents, and an optimal deployment strategy is determined based on a multi-agent near-end strategy optimization algorithm. According to the invention, the method optimizes the regional coverage strategy, achieves the efficient distribution of resources, improves the detection efficiency and accuracy of a leap device and a detector in extreme terrains and complex environments, reduces the energy consumption while guaranteeing the coverage efficiency, and improves the overall energy utilization efficiency of the system.

The present invention provides a method for three-dimensional dynamic imaging of fluid based on multi-channel OPT and neural network, comprising the following steps: using laser to provide illumination, emitting laser to biological samples, the biological samples will scatter light and form sample images, continuously collecting sample images of n angles of the biological samples, and obtaining a number of original data graphs; using neural networks to train the collected sample images with spatiotemporal characteristics to obtain a network model; using the network model to predict the original image; obtaining a two-dimensional sample feature distribution map, and using OPT technology to reconstruct three-dimensional images of these two-dimensional sample feature distribution maps to obtain dynamic three-dimensional images. The present invention also provides an imaging device. The present invention improves the accuracy of image feature recognition, has good imaging quality, and can quickly obtain three-dimensional dynamic images.

A microfluidic chip and detection method for nucleic acid amplification detection, the chip includes a base layer, a cover layer and a reversing valve, the cover layer is provided with an inlet, a purification and concentration chamber, a waste liquid outlet, a premixing chamber through hole and an outlet through hole, the inlet is connected to the waste liquid outlet and the premixing chamber through hole respectively after passing through the purification and concentration chamber through a flow channel, a porous material embedded with immunomagnetic beads is pre-set in the purification and concentration chamber, the reversing valve is arranged on the outlet side flow channel of the purification and concentration chamber to control the liquid in the purification and concentration chamber to flow to the waste liquid outlet or the premixing chamber through hole, the premixing chamber through hole is used to add reactants to mix with the liquid from the purification and concentration chamber, the base layer is provided with a mixing flow channel and a constant temperature amplification chamber with a transparent area, and the premixing chamber through hole is connected to the constant temperature amplification chamber through the mixing flow channel. The use of this chip can realize the purification, concentration, constant temperature amplification and real-time fluorescence detection of nucleic acids in one step, and obtain one or more target detection results quickly, simply and reliably.

The embodiment of the invention provides a communication method, a communication device, terminal equipment, electronic equipment and a storage medium, and relates to the technical field of wireless communication. The method comprises the following steps: when terminal equipment accesses a network, determining a network intelligent service network element for providing network intelligent service for the terminal equipment; establishing association among the terminal equipment, the target network element and the network intelligent service network element in the registration and session process; and providing a network intelligent service for the terminal equipment through the network intelligent service network element based on the established association. According to the method, the network intelligent service related to the user is generated in the network, when the terminal equipment accesses the network, the exclusive network intelligent service is determined, the association of the network intelligent service is carried out through processes such as registration and session, the terminal equipment is supported to directly obtain the network intelligent service, and the user-centered intelligent service experience is improved.

The invention provides a light-promoted release supramolecular diagnosis and treatment prodrug as well as a preparation method and application thereof, and belongs to the technical field of biological medicines. The light-promoted release supramolecular diagnosis and treatment prodrug provided by the invention consists of a calixarene prodrug and a photosensitizer included in the calixarene prodrug, and has the advantages of simple preparation method, breast cancer hypoxia response targeted therapy, real-time near-infrared fluorescence imaging tracing, light-promoted drug release and the like. The light-promoted release supramolecular diagnosis and treatment prodrug provided by the invention not only can realize accurate diagnosis and targeted treatment of breast cancer in vivo, but also can cause local hypoxia of a tumor microenvironment by virtue of photodynamic characteristics of the photosensitizer, realizes light-promoted drug release, and provides a new way for accurate and controllable diagnosis and treatment requirements of breast cancer.

The application discloses an image defogging recognition method and system based on an improved generative adversarial network, which is used for feature extraction of an image to output feature maps of different scales, generates a mapping from a fixed input to an ambient light for estimating a pseudo ambient light, simultaneously generates a mapping to the ambient light after scattering using the same input, splices and combines the generated mapping and an input haze-free image into a new pseudo haze image, judges whether the pseudo haze image is a real image, reversely calculates the transmittance and ambient light value of an atmospheric scattering model, obtains parameters in an actual scene, and obtains a defogged image using the calculated parameters. The application can make the network extract more image features and better estimate the sound transmission law and ambient light value, and the color loss module can avoid the phenomenon of color change of the generated image, solve the problems of image information distortion and color change in the image recognition in the image defogging link, and improve the precision of image defogging recognition.