142results about How to "Efficient determination" patented technology

The invention relates to the field of fault early warning, in particular to a fault early warning method for a tailing paste filling system. Comprising the steps of monitoring and storing parameters in real time to form a parameter matrix; a sliding time window technology is introduced, standardization processing is carried out on the parameters at each moment, and standardized parameter values are obtained; on the basis of the standardized parameter values, a dynamic feature extraction algorithm is adopted for processing to obtain feature values; based on the characteristic value, a fault probability value is calculated through a dynamic gain adjustment fault probability calculation algorithm, the fault probability value is compared with a fault threshold value, and a fault judgment result is obtained; according to the characteristic value and the fault judgment result, a saliency score is calculated through a fault positioning algorithm, and a fault source is determined according to the saliency score; and performing fault early warning based on the fault source. The technical problems that in a tailing paste filling system, multiple monitoring points exist, so that real-time data processing becomes complex, and unified comparison and analysis are difficult to conduct are solved.

The invention discloses a user abnormal load identification method based on a stereo portrait library and dual-channel weighting, and the method comprises the steps: collecting the load data and industry labels of a user, cleaning the data to obtain a load data set, and dividing a training data set and a test data set; a user load characteristic analysis module is constructed, the unbalance degree between different users and different industry types in the training data set is counted, and a user multi-time-scale typical power consumption curve and a multi-dimensional load characteristic index are extracted in a clustering mode; combining a user load characteristic analysis result with an industry label, performing weighting on each industry user, performing secondary clustering to extract an industry multi-time scale typical power consumption curve and a multi-dimensional load characteristic index, and constructing a three-dimensional portrait library; and after load curve-feature dual-channel weighting is carried out on each industry in the stereo portrait library, load type and abnormal power consumption behavior identification is carried out on unknown users in the test data set. According to the invention, high-accuracy identification of the user load type and the abnormal power consumption behavior is realized.

Embodiments of the invention provide a data processing method and apparatus, a storage medium and a computer device. The method comprises the steps of obtaining data reported by each data source from at least two data sources; comparing the data corresponding to each data source with data in a preset database, and determining a matching rate, a false alarm rate and a missing report rate of each data source; determining a quality score of each data source based on the matching rate, the false alarm rate and the missing report rate of each data source; obtaining an index value of each piece of data, and classifying target data with the same index value reported by different data sources; acquiring a data confidence score of each piece of target data in the classified data; based on the data confidence score of each piece of target data and the quality score of the data source corresponding to each piece of target data, the classification score of the classified data is determined, the quality score of each data source is effectively determined, and the same data from different data sources are classified; a reliability assessment of the classified data is provided through the quality score of each data source.

The invention discloses an unmanned aerial vehicle task planning method and device for weather modification, and the method comprises the steps: detecting the feature data of a rainfall cloud system, determining the current moving trend and the current task waypoint of the rainfall cloud system, determining an estimated target waypoint, and planning a task route from the current position to the estimated target waypoint; executing the task route, and judging whether the estimated target waypoint is updated or not; if so, executing a route planning step according to the updated estimated target waypoint; if not, arriving at the current task waypoint based on the task route; determining a sowing operation area based on the feature data; and according to the sowing operation area, planning an operation route, and based on the operation route, sowing flame strips. The problems that in the prior art, an artificial weather influencing method is low in efficiency and high in implementation cost are solved. The effective utilization rate of the flame bars can be increased, the economic cost of weather modification operation is saved, and the weather modification operation can be accurately and efficiently carried out.

The invention discloses a stay cable length measurement method based on a three-dimensional laser point cloud, and the method obtains a three-dimensional point cloud model of a stay cable through high-precision laser scanning, and achieves the automatic recognition and precise calculation of the length of the stay cable. The method comprises the following steps: firstly, scanning a stay cable surface of a to-be-measured cable-stayed bridge by using a three-dimensional laser scanner to obtain a point cloud model of a single stay cable; then, segmenting the point cloud model of the stay cable into a plurality of point cloud segments; thirdly, coordinate transformation is carried out on the point cloud cut sections, center coordinates of the point cloud cut sections are calculated, and the cable length of the three-dimensional laser point cloud part is obtained according to the center coordinates of all the point cloud cut sections; and finally, obtaining the anchoring length of the stay cable in the beam body and the tower body according to the design data, and calculating to obtain the cable length of the stay cable, thereby realizing the rapid and efficient measurement of the cable length of the stay cable.

The invention provides a video processing method and device, equipment and a storage medium, and the method comprises the steps: firstly, obtaining a target video clip, extracting a video frame feature sequence of the target video clip, then determining a key frame feature sequence of the target video clip from the video frame feature sequence, and obtaining a key frame feature sequence of the target video clip; and determining a text segment corresponding to the target video segment based on the video frame feature sequence and the key frame feature sequence. According to the embodiment of the invention, the key frame feature sequence of the target video clip is determined, the video frame feature sequence and the key frame feature sequence are combined, the text clip corresponding to the target video clip is determined, and the key frame feature sequence can better reflect the watching and playing auxiliary action in the target video clip, so that the watching and playing efficiency is improved. Based on the above mode, the text segment corresponding to the target video segment can be determined more effectively.

The invention relates to the technical field of welding, in particular to a flat wire stator 3D visual guidance welding method and device.The method comprises the steps that in a laser marking scene, a brightness image of a flat wire stator to be machined is obtained; performing visual calibration on the brightness image to obtain an affine transformation matrix; based on the affine transformation matrix, acquiring a depth image of the flat wire stator to be processed; based on the affine transformation matrix and the depth image, welding execution coordinates of the flat wire stator to be machined are determined; and based on the welding execution coordinates, welding operation is executed on the to-be-machined flat wire stator. According to the method, for the to-be-machined flat wire stator in the laser marking scene, the brightness image is subjected to visual calibration, so that accurate welding execution coordinates can be provided, welding operation is guided more efficiently, and the welding quality is improved.

The invention discloses an electric power system operation maintenance method and system based on a retrieval enhancement technology, and the method comprises the steps: carrying out the weight analysis of each layer of a preset large model in the training process of the preset large model, and carrying out the dynamic freezing of the layers meeting a preset condition in the preset large model, so as to obtain a full-parameter fine-tuning large model; based on a Mangban architecture base retriever, introducing a KAN network to optimize each layer parameter in the base retriever to obtain a first retriever; performing integrated optimization on the first retriever through a gating expert integrated network to obtain a second retriever; thirdly, an enhanced data set is constructed according to a result output by the full-parameter fine-tuning large model, and a second retriever is trained according to the enhanced data set to obtain a target retriever; and integrating the target retriever and the full-parameter fine tuning large model to obtain a target operation and maintenance large model, and executing a matched operation and maintenance strategy according to an operation and maintenance result output by the target operation and maintenance large model so as to maintain the stability of the power system.

The utility model discloses a cooling device for plastic production, belongs to the technical field of plastic production, and aims to enable cold air at a refrigeration sheet to blow to a plastic strip, so that the plastic strip is subjected to primary cooling treatment, liquid can be sprayed to the whole plastic strip, and the plastic strip is subjected to secondary cooling treatment. The plastic production cooling device comprises a bearing table, a cooling box is installed at the middle section of the top of the bearing table, and the two ends of the cooling box are communicated; the cooling box is formed by hinging two fixing boxes through a hinge, the cooling box is divided into a first cooling cavity and a second cooling cavity through a barrier plate, refrigeration pieces are embedded and installed at the top, corresponding to the first cooling cavity, of the cooling box at equal intervals, an air guide barrel is fixed to the refrigeration pieces, a fixing frame is fixed to the air guide barrel, and an air guide wheel is rotationally arranged on the fixing frame; and air guide grooves are formed in the bottom, corresponding to the first cooling cavity, of the cooling box at equal intervals, bearing frames with nozzles are fixed to the top, corresponding to the second cooling cavity, of the cooling box at equal intervals, and a drainage pipe is arranged at the bottom of the cooling box.

The invention provides a weeding point positioning method, device and equipment. The method comprises the following steps: acquiring an original image formed by collecting weeds to be removed; preprocessing the original image to obtain a to-be-processed image; the to-be-processed image is identified, the image area where the to-be-removed weeds are located and the type of the to-be-removed weeds are determined, and the type of the to-be-removed weeds is related to the structure and shape of the weeds; processing the image area, and determining a skeleton of the weeds to be removed; and determining a weeding point position of the to-be-removed weed based on the type of the to-be-removed weed and the skeleton of the to-be-removed weed, wherein the weeding point position is a stem base center of the to-be-removed weed in the original image. The weeding point positioning method is used for positioning the weeding points in the area shown in the image more accurately and more efficiently according to the shot image.

The invention discloses a multi-scale loess foundation stability prediction method and system, a storage medium and equipment, and belongs to the technical field of geophysics and hydrogeology, and the method mainly comprises the steps that a high-density electrical method is used for collecting resistivity data of a loess foundation in a monitoring area; performing inversion on the resistivity data in different time periods to obtain different inversion profiles; gridding the resistivity data of the loess foundation in the monitoring area, comparing the difference of resistivity distribution among different inversion profiles, and screening out a high-risk area; and performing kernel density estimation and distribution difference analysis according to the screened high-risk area to obtain a low-resistivity data change trend, and predicting the collapse risk according to the low-resistivity data change trend by combining a multi-scale breakpoint detection technology. Based on the high-density electrical method, various data analysis technologies are combined, and efficient, economical and sustainable loess foundation stability monitoring and prediction are achieved.

The invention discloses a sodium carbonate alkali melting method for measuring multiple elements of soil or sediment, which comprises the following steps: selecting anhydrous sodium carbonate as a flux, putting the flux and a substance to be measured into a platinum crucible, transferring into a muffle furnace for heating, taking out, rotating, shaking and shaping, putting into tap water at room temperature for cooling, adding deionized water, heating for pyrolysis, and filtering to obtain a filtrate; soaking overnight for 24 hours, fully stirring with a plastic rod, washing with deionized water, dropwise adding 2ml of diluted hydrochloric acid, heating at low temperature, mashing fallen substances, stirring, adding nitric acid-hydrochloric acid mixed acid, dissolving, transferring, fixing the volume, uniformly shaking, filtering, directly measuring the boron element, and detecting on a machine after measuring that other elements are diluted by a proper multiple.

The utility model discloses an automatic tube plate welding device which comprises a base, a positioning groove is formed in the center of the base, lifting mechanisms are correspondingly arranged on the two sides of the base, lifting rods of the lifting mechanisms stretch out upwards, an integrated station plate is installed at the rod ends, an L-shaped station groove is formed in the inner side of the station plate, and the L-shaped station groove is formed in the inner side of the station plate. And communicating grooves are correspondingly formed in the inner sides of the station grooves, and the station grooves and the communicating grooves correspond to the positioning grooves in the base below in position. According to the device, the positions of the tube holes in the tube plate correspond to the positions of the positioning convex columns on the positioning circular plate, the placing positions are determined under the action of the limiting grooves and the limiting blocks, the positions of the tube bodies can be determined by placing the tube bodies from the tube holes and correspondingly sleeving the lower ends of the tube bodies in the positioning convex columns, and the tube bodies are absolutely vertically placed, so that the accuracy of perpendicularity is ensured; and the position of the pipe body is effectively fixed, and the welding efficiency and quality are improved.

The embodiment of the application discloses an abnormality detection method and device for cell entering a shell, electronic equipment and a storage medium. The method comprises the following steps: acquiring detection data in the process that a cell entering shell machine drives the cell to enter a battery shell; generating one or more to-be-detected curves according to the detection data; detecting the one or more to-be-detected curves respectively according to historical detection data to obtain a detection result corresponding to each to-be-detected curve; and determining an abnormality result of the cell entering the shell according to the detection result corresponding to each to-be-detected curve. The embodiment of the application can improve the accuracy of the abnormal cell judgment. The above judgment process does not need manual inspection, improves the intelligent degree of the cell detection process, can effectively determine the main abnormal problems in the production process, and can be solved in a targeted manner, thereby improving the accuracy and efficiency of the abnormal detection of the lithium cell entering the shell process.

And operators are easy to determine equipment and work with large discharge amount. This analysis system is provided with: a measurement unit that measures the amount of consumed emissions in a plurality of steps; a notification unit that notifies the plurality of consumption emissions; a storage device for storing a plurality of consumption emissions; and an analysis unit that analyzes the plurality of consumption emissions, extracts steps corresponding to the consumption emissions that are equal to or greater than a first threshold value, and sets, as a profile, information that variably defines the configuration of the measured data or the measurement method of the data, and the measurement unit sets the measurement unit of the consumption emissions or the measurement method of the consumption emissions on the basis of the profile.

The invention relates to a test method and device, computer equipment, a readable storage medium and a program product. The method comprises the steps of determining a target test case from candidate test cases, determining target input data corresponding to the target test case according to a preset mapping relationship, executing the target test case according to the target input data, and determining a test result of the target test case. Wherein the target test case comprises at least one target test operation based on the interactive interface and execution logic of the target test operation; the preset mapping relationship comprises a corresponding relationship between the input data and the test case. By adopting the method, the test efficiency can be improved.

The present application relates to a motor control method, device, equipment, storage medium and vehicle, and relates to the technical field of hybrid electric vehicles. The method includes: when the required power is greater than the maximum discharge power of the power battery, and less than the sum of the maximum discharge power of the power battery and the maximum power generation power of the range extender, determine the discharge power of multiple power batteries. Afterwards, obtain the power battery dynamic voltage corresponding to each power battery discharge power, and determine the target power battery discharge power according to the power battery dynamic voltage corresponding to each power battery discharge power. Among them, the power battery dynamic voltage corresponding to the target power battery discharge power is greater than the preset power battery dynamic voltage; the preset power battery dynamic voltage is the power battery dynamic voltage corresponding to the maximum discharge power of the power battery. In this way, by limiting the power battery discharge power, the drive battery dynamic voltage can be increased, and the output power of the drive motor can be further increased, thereby improving the power of the vehicle.

The present invention provides a method, system and terminal device for positioning a vehicle in an Internet of Vehicles. The method includes: determining regional vehicles based on vehicle captured images; determining a target cooperative vehicle based on status information of the vehicle to be positioned, driving information of regional vehicles and the number of collaborative positioning times; generating a key pair based on the vehicle information of the remaining regional vehicles to obtain a public key and a private key, and sending the public key to the vehicle to be positioned; instructing the vehicle to be positioned to encrypt the location information based on the public key to obtain encrypted location data, and sending the encrypted location data to the target cooperative vehicle for collaborative forwarding; when the road test base station receives the encrypted location data forwarded by the target cooperative vehicle, the encrypted location data is decrypted based on the private key to obtain the vehicle positioning result. In the embodiment of the present invention, by sending the encrypted location data to the target cooperative vehicle for collaborative forwarding, the leakage of the encrypted location data is effectively prevented, thereby improving the security of vehicle positioning in the Internet of Vehicles.

The application relates to a vehicle underbody living body detection method, a computer program product, an electronic device and a vehicle. The detection method comprises the following steps: taking a vehicle underbody image as a reference image when the vehicle is powered off; determining a real-time image with a difference region as a to-be-detected image based on the reference image and the real-time image of the vehicle underbody; determining feature detection information of the to-be-detected image, and realizing identification of a vehicle underbody living body and / or determination of a vehicle underbody living body state based on the feature detection information. Based on this, the application can improve the pertinence and efficiency of vehicle underbody detection, and guarantee the accuracy and effectiveness of vehicle underbody living body detection results.

The present disclosure relates to an abnormality processing method and device, a base station and a medium. The method comprises: when the base station is in an abnormal state, obtaining current base station information; determining a target abnormality processing type corresponding to the current base station information based on a target abnormality processing model and the current base station information; and performing an abnormality processing mode represented by the target abnormality processing type. The present disclosure can determine the target abnormality processing type corresponding to the current base station information based on the target abnormality processing model and the current base station information when the base station is in the abnormal state, and perform the abnormality processing mode represented by the target abnormality processing type, so that the abnormality processing mode corresponding to the abnormality can be determined efficiently and quickly when the base station is in the abnormal state, the influence of the abnormality of the base station on the base station and a host device corresponding to the base station can be avoided, and the user experience can be improved.

The invention discloses a sulfydryl-functionalized high-performance chitosan homogeneous membrane which is prepared by taking chitosan and polyvinyl alcohol as substrates, L-cysteine as a modifier and tris (2-carboxyethyl) phosphine hydrochloride as a reducing agent through a non-solvent induced phase inversion method. Therefore, the inventor also establishes a preparation method of the chitosan homogeneous membrane as a binding phase of a thin film diffusion gradient technology. Finally, the thin film material with high adsorption capacity and rapid adsorption on mercury is innovatively prepared, and the DGT device taking the thin film material as a binding phase can rapidly, highly selectively and stably enrich mercury in a water body and is not interfered by other heavy metal ions; the technical problem that a biological membrane grows on the surface of a traditional DGT device due to long-time enrichment to interfere with accurate determination of mercury is successfully solved, the DGT technology is expanded to the field of complex determination of the concentration of trace Hg (II) in water, and the purpose of efficient, rapid and accurate determination is achieved.

The invention discloses an automatic device for removing residual slag crowns in a crystallizer, which comprises a visual inspection device, a three-axis moving sliding table, a pneumatic actuating mechanism, a centering and clamping device, a main body steel frame structure, an electric control device and a mounting base, the visual detection device mounted on the upper side of the mechanism can quickly and effectively determine the position of the residual slag crown, and meanwhile, the pneumatic execution mechanism at the tail end is matched with the three-axis moving platform to effectively and quickly clean the residual slag crown, so that the cleaning efficiency of the slag crown is effectively improved; the inverted-cone-shaped inner cavity with a certain inclination is formed in the placement base at the bottom, falling slag crowns can be conveniently received, collected and cleaned, the problems that residual slag crowns in the crystallizer are difficult to clean and slow to clean are solved, and the automation degree and the production efficiency of equipment are improved.

The embodiment of the invention provides a method and device for detecting a text abstract generated by a large model, a medium and equipment. The method comprises the steps of obtaining target data, and determining a data mode of the target data; if the data modality is a video or audio modality, extracting a target text corresponding to the target data, and generating a first text abstract of the target text through a first large model, the first text abstract comprising a plurality of time intervals divided according to the target text and respective content abstracts of the plurality of time intervals; according to the plurality of time intervals, extracting respective text contents of the plurality of time intervals from the target text; determining whether the text content of each time interval is matched with the content abstract of the time interval or not through a second large model; and determining whether unreal content exists in the first text abstract or not according to whether the text content of each time interval is matched with the content abstract or not. Through the method, whether unreal content exists in the text abstract generated by detecting the large model or not can be efficiently and accurately determined.

The invention provides a fault determination method and device, electronic equipment and a storage medium, relates to the technical field of communication, and solves the technical problem of network fault misjudgment or missed judgment caused by non-uniform network fault judgment modes in related technologies. The method comprises the following steps: acquiring an identification feature of at least one heartbeat message transmitted by a target device, wherein the identification feature is a content added by the target device in the heartbeat message; determining the transmission state of the heartbeat message based on the identification feature of the heartbeat message; and based on the transmission state of the heartbeat message, determining whether a target network has a fault, the target network being a network to which the target device belongs.

The invention relates to the technical field of gold-tin alloy detection, in particular to a method for determining gold in gold-tin alloy, which comprises the following steps: firstly, completely dissolving the gold-tin alloy by using nitric acid and hydrochloric acid to convert gold and tin in the alloy into soluble ions so as to facilitate subsequent separation and determination; further, heating with big fire to evaporate the solution to dryness, then adding hydrogen peroxide and hydrochloric acid, volatilizing most of tin at high temperature, and removing the rest of tin by filtering to ensure the separation of tin and gold; boiling the filtrate, adding sulfurous acid, and reacting gold with sulfurous acid to generate gold precipitate, so as to realize the precipitation separation of gold; and finally, determining the content of gold in the alloy in a constant weight manner. According to the method, based on chemical property differences of different elements under different conditions, efficient and accurate determination of gold in the gold-tin alloy is achieved through the steps of dissolution, volatilization, precipitation, mass measurement and the like.

The invention provides an operation and maintenance strategy generation method which can be applied to the technical field of big data. The operation and maintenance strategy generation method comprises the following steps: in response to an instruction for executing an operation and maintenance task, determining target to-be-operated and to-be-maintained software associated with the operation and maintenance task; determining at least one association link corresponding to the operation and maintenance task based on a pre-constructed software relationship library; determining a target associated component node from the at least one associated component node based on the associated link; reading a target software information set corresponding to the target to-be-operated and to-be-maintained software node from a software relationship library, and reading a target associated component information set corresponding to the target associated component node; and based on the target software information set and the target associated component information set, determining an operation and maintenance strategy for the target to-be-operated and to-be-maintained software. The invention further provides an operation and maintenance strategy generation device and equipment, a storage medium and a program product.

The invention discloses a method for rapidly detecting hydrogen sulfide in a solution, which comprises the following steps: firstly, sufficiently reacting a nano AgI dispersion liquid with a solution to be detected under an acidic condition to obtain an iodide ion solution, then introducing a CsPbBr3 quantum dot solution into the iodide ion solution, standing for reaction, and determining the hydrogen sulfide in the solution according to fluorescence color change information of the solution after reaction or a right shift change value of a peak position of a fluorescence emission peak. The visual detection on the hydrogen sulfide content is realized. The CsPbBr3 quantum dot is used as a fluorescent probe and can directly react with iodide ions formed by conversion of hydrogen sulfide, conditions such as introduction of other trigger media and the like are not needed, obvious solution fluorescence emission peak appearance position change and fluorescence color change can be initiated, and efficient visual detection of the hydrogen sulfide content is realized; the method has the advantages of simplicity in operation, high sensitivity, rich color change and the like and is suitable for popularization and application.

The application is suitable for the technical field of service robots, and provides a service robot module matching method based on fault deduction and related devices. The method comprises the following steps: performing semantic matching on task description information of a service robot and module function description information of multiple robot modules to obtain multiple robot module combinations; performing fault deduction on each robot module combination according to the behavior correlation between the robot modules in each robot module combination to obtain an execution prediction result corresponding to each robot module combination respectively; comparing the execution prediction results corresponding to each robot module combination respectively, and taking a robot module combination to which an optimal execution prediction result belongs as a component structure of the service robot. The method can reduce the problems of module cooperation abnormality and task execution abnormality of the finally selected robot module combination in an actual task process.

This invention discloses a method, apparatus, equipment, and medium for determining the operating load of a wind turbine, relating to the field of power equipment technology. The method includes: determining target operating data of the wind turbine; determining the cumulative vibration acceleration value and model coefficients of the wind turbine based on the target operating data, wherein the cumulative vibration acceleration value includes the cumulative axial vibration acceleration value and the cumulative lateral vibration acceleration value, and the model coefficients include axial model coefficients and lateral model coefficients; and determining the operating load of the wind turbine based on the cumulative axial vibration acceleration value, the cumulative lateral vibration acceleration value, the axial model coefficients, and the lateral model coefficients. This invention determines the cumulative vibration acceleration value and model coefficients of the wind turbine based on its operating data, thereby determining the operating load of the wind turbine. This method enables simple, rapid, and efficient determination of the operating load of the wind turbine without the need for additional detection equipment, improving the feasibility of the operating load determination process.