63results about How to "Efficient determination" patented technology

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.

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 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.

This application relates to the technical field of industrial data processing, and provides a welding quality assessment method and system based on a welding robot. The method includes: first, in response to a welding start command, rapidly acquiring the gap image information of the target workpiece using an industrial camera; then, in response to a welding completion command, effectively acquiring the weld seam image information of the target workpiece; next, accurately determining the gap baseline information based on the gap image information; and simultaneously, accurately determining the weld seam baseline information based on the weld seam image information; finally, effectively generating welding quality assessment information based on the gap baseline information and the weld seam baseline information. This application, based on laser automatic tracking technology, can accurately determine whether the weld seam deviates from the ideal position, effectively improving the reliability and consistency of the welding process. It not only facilitates the rapid identification and correction of welding defects but also further ensures product quality.

This disclosure provides a positioning method, apparatus, device, chip system, and storage medium, applicable to communication systems. The method includes: a core network device determining positioning signal configuration information related to an effective area, wherein the positioning signal configuration information is used to locate a terminal device. By implementing the method of this disclosure, positioning signal configuration information related to an effective area can be effectively determined, improving the positioning performance of the terminal device.

According to embodiments disclosed herein, an electronic device includes a communication circuitry in communication with a drying apparatus including a plurality of drying areas for drying an introduced electrode, and a plurality of heating apparatuses respectively provided in correspondence with the plurality of drying areas to provide heat to the electrode; a memory for storing one or more instructions; and a processor. The one or more instructions, when executed, can be configured to cause the processor to, upon a shutdown of the drying apparatus, acquire operation state information of the drying apparatus, acquire state information of at least one electrode introduced into the drying apparatus, determine an output of each of the plurality of heating apparatuses based on the operation state information of the drying apparatus and the state information of the at least one electrode, and control the plurality of heating apparatuses based on the determined output of each of the plurality of heating apparatuses.

The utility model relates to a loop scanner, in particular to an angle-adjustable loop scanner, which comprises a base. The scanner further comprises a scanner body. The scanner body is fixed with a worm wheel rotationally mounted on the base through a connecting rod fixed with the scanner body; the worm is rotationally mounted on the base and meshed with the worm gear; the secondary limiting piece is arranged on the base and comprises a movable clamping plate used for conducting radial extrusion on the worm and an elastic piece used for providing radial extrusion force for the movable clamping plate. The adjusting piece can drive the elastic piece to reset so that the movable clamping plate can be separated from the extrusion state of the worm. Rotation of the worm is limited through the secondary limiting piece so that the monitoring angle can be further fixed, and the situation that due to strenuous vibration and other external factors in the production process, the worm rotates, and the monitoring angle of the scanner body is changed is avoided. The adjusting piece drives the worm to rotate after driving the movable clamping plate to be separated from the extrusion state of the worm, and the adjusting efficiency can be effectively improved.

The application provides a method and device for determining a bridge closure position based on a first-stage dead load internal force distribution and a storage medium, and relates to the technical field of bridge construction. The method comprises the following steps: obtaining a candidate closure position of a target bridge; performing a first-stage dead load stress state analysis based on a pre-established full-bridge finite element model to obtain a first-stage dead load internal force state analysis result; calculating a construction convenience index, a construction period index, an adjustment measure index and other influence factor indexes according to the influence of the target bridge based on the first-stage dead load internal force state analysis result; calculating a closure index of each candidate closure position based on the construction convenience index, the construction period index, the adjustment measure index and the other influence factor indexes; and taking the candidate closure position with the minimum closure index value among all the candidate closure positions as the target closure position. The method provided by the application can quickly and effectively determine the bridge closure position.

The application discloses a kind of soil aggregate organic carbon mass fraction determination system and method, comprising: heating device;Support, be equipped in heating device, it is equipped with guide rail device one, reagent adding piece one and push material piece on it, the sliding block of guide rail device one is connected with test tube piece;Guide rail device two, be equipped in heating device side wall, it is equipped with titration test piece and indicator adding piece on guide rail device two, the sliding block of guide rail device two is connected with receiving bottle.The application is driven by guide rail device one to move test tube piece to reagent adding piece one and add reagent, move to the heating end of heating device and heat, and move to push material piece and be driven by push material piece to unload test, and after unloading to receiving bottle, guide rail device two is driven to move receiving bottle and correspond to indicator adding piece and titration test piece in turn, reduce artificial operation intensity, improve determination work efficiency while effectively reducing human operation error.

This invention discloses a data encoding system and method based on simplicated complex homogeneous linear codes. The system includes: a parameter initialization module for initializing the construction parameters of an n-ary multivariable function F; a function definition module for generating the multivariable function F based on the construction parameters; and a definition set extraction module for constructing a definition set D. F ; Linear code generation module, used to generate linear codes according to the definition set D F This invention employs an inner product mapping to construct a basic p-ary linear code corresponding to the defined set; a homogenization processing module is used to homogenize the multivariable function F to obtain an (n+1)-ary homogeneous function; and a homogenized code generation module is used to generate a homogenized definition set based on the homogenized function, and then generate a homogenized p-ary linear code based on this set. This invention solves the problems of existing p-ary linear code construction techniques being complex in structure, having uncontrollable parameters, or being difficult to analyze weight distribution, leading to difficulties in efficient deployment in engineering.

The application provides a steel seamless pressure vessel quenching medium concentration determination method, comprising the following steps: S1, processing multiple end-quenching samples; S2, configuring multiple groups of water-based quenching agent solutions; S3, heating and heat-insulating the end-quenching samples, and contacting the test end face of the end-quenching samples with the water-based quenching agent solutions; S4, processing a detection face on the end-quenching samples, and measuring the hardness; S5, drawing a relationship curve between the distance from the test end face and the hardness value at the corresponding position, and obtaining the distance L of the hardness detection point corresponding to the hardness inflection point from the test end face; S6, drawing a relationship diagram of L and the water-based quenching agent solution concentration; and S7, based on the relationship diagram of S6, determining the water-based quenching agent concentration K during heat treatment quenching cooling of the pressure vessel with a nominal wall thickness H. The application solves the problems of multiple large furnace test times and inapplicability to different nominal wall thicknesses in the prior art, can quickly and effectively determine the quenching medium concentration, and effectively improves the safety and reliability of the pressure vessel use.

The invention relates to a living body cultured lateolabrax japonicus muscle quality evaluation method and device based on a hyperspectral image and a medium, and belongs to the technical field of mariculture, and the method comprises the steps: obtaining a body surface hyperspectral image of a target living lateolabrax japonicus; inputting the body surface hyperspectral image data of the target living lateolabrax japonicus into a pre-constructed cultured lateolabrax japonicus muscle quality evaluation model to obtain target fish body muscle texture characteristic parameters and a digital distribution diagram of the target fish body muscle texture characteristic parameters. According to the method, rapid and lossless determination of living body cultured lateolabrax japonicus samples is realized firstly, particularly, a portable land-based hyperspectral imaging system is utilized, the working time and cost are reduced, enforceable conditions are wider, an estimation model is more convenient to construct, and efficient determination of muscle texture characteristic parameters of target living body cultured lateolabrax japonicus can be achieved.

The application discloses a kind of amusement equipment riding passenger carrying device anti-falling control method, applied to the lifting machine of lifting riding passenger carrying device, comprising the following steps: step one, at the front and rear ends of entrance track respectively sensor 2 and sensor 1 are set to be divided into area 1, sensor 4 and sensor 3 are set at the front and rear sides of lifting platform and divided into area 2, sensor 5 is set at the position of a certain distance between exit slide and conveying frame and divided into area 3;Step two, the signal of sensor 1 to sensor 5 is received in real time to identify the position of riding passenger carrying device, and control the lifting machine to smoothly complete the lifting and anti-falling of riding passenger carrying device.The amusement equipment riding passenger carrying device anti-falling control method of the application, by the setting of step one to step two, can effectively realize the current riding passenger carrying device state by dividing area in real time, and then realize safe lifting.

The application particularly relates to a message transmission method combining a priori routing and a DTN and a storage medium. The method comprises the following steps: establishing and maintaining a routing table in each node of the network based on a priori MANET routing protocol mechanism; when a message source node transmits a message to a message destination node: firstly, the message is transmitted by using the priori MANET routing mechanism; otherwise, a message copy distribution algorithm based on location information is used, and a DTN mechanism is used to distribute the message copy to a relay node at the topological boundary of the message source node end, so that the relay node becomes a virtual source node; if the message transmission is unsuccessful, the message copy is stored in the relay node at the interruption, so that the relay node becomes a virtual source node; the virtual source node broadcasts routing query information to its neighbor nodes, and the routing table of the neighbor nodes is inquired; when an opportunity to establish a connection with the message destination node is found, the above steps are repeated. The application can improve the reliability of message transmission by using the DTN routing mechanism, and can fully explore the connectable sub-topology in the MANET network.

The application discloses a host risk evaluation method and an evaluation device. The evaluation method comprises the following steps: obtaining historical data in a host cycle, wherein the historical data comprises static data and dynamic index data; inputting the static data and the dynamic index data into a trained risk prediction model, and predicting a risk evaluation value of the host by using the risk prediction model, wherein the risk prediction model is used for evaluating the risk of the host according to the static data and the dynamic index data; and obtaining a prediction result output by the risk prediction model, and obtaining the risk evaluation value of the host.

The application provides a URL determination method and device, electronic equipment and a storage medium, relates to the technical field of networks, and solves the technical problem that all URLs corresponding to a web application cannot be accurately and completely determined in the related art. The method comprises the following steps: determining a physical position corresponding to each application in at least one application; obtaining a file name of an accessed file corresponding to each application based on the physical position corresponding to each application; and determining a URL corresponding to each application based on a position name of the physical position corresponding to each application and the file name of the accessed file corresponding to each application.

The invention discloses a method for automatically identifying pi pulse time of a mercury ion microwave clock, which comprises the following steps of: setting a time sequence: performing on-off operation by external equipment according to a specified time sequence; fluorescence signals are collected, and the single-chip microcomputer is used for collecting the fluorescence signals; performing transition probability scanning, setting microwave source dot frequency, microwave action starting time, microwave action stopping time and microwave action time stepping, and performing transition probability scanning in a Rabi mode by using an external reference source as a reference signal to obtain a transition probability scanning curve; and based on the transition probability spectral line, carrying out nonlinear fitting on the data, drawing a new transition probability function curve, solving a new transition probability function derivative, further confirming a pi pulse range, and identifying the pi pulse. The method provided by the invention has the advantages of full-automatic operation, high intelligent identification precision and good system flexibility, the experiment efficiency is improved, and the experiment error is reduced.

The invention relates to the technical field of experiment automation, in particular to an experiment execution method and device, computer equipment, a storage medium and a product. The method comprises the steps of obtaining experiment requirements fed back by a user; based on the experiment demand, determining an experiment formula corresponding to the experiment demand according to equipment configuration data of at least one piece of pre-stored candidate equipment; wherein the operation formula comprises target equipment selected from the candidate equipment and operation content corresponding to the target equipment; based on the experimental formula, performing experimental operation according to the target equipment to obtain an experimental result meeting experimental requirements; according to the method, efficient determination of the experiment formula is guaranteed, effective calling of the equipment is guaranteed, the error probability of the experiment equipment is reduced, then, effective execution of the experiment is guaranteed when the experiment operation is carried out according to the target equipment based on the experiment formula, and the success rate of experiment execution is increased.

The application belongs to the technical field of sensor layout optimization, and discloses a power transmission tower sensor optimal arrangement method based on a marine predator algorithm, which comprises the following steps: determining the modal order number that needs to be considered in the power transmission tower sensor optimal arrangement by using a Fisher information matrix 2 norm change rate; determining the number of sensors that need to be arranged on the power transmission tower by using a maximum value of non-diagonal elements of a modal confidence criterion matrix; and taking the modal confidence criterion matrix as a fitness function of the marine predator algorithm, and determining the arrangement position of the sensor on the power transmission tower by using a marine predator intelligent optimization algorithm. The application determines the optimal arrangement position of the sensor on the power transmission tower by using the marine predator intelligent optimization algorithm starting from the modal analysis of the power transmission tower, which has important practical value for determining the monitoring state of the power transmission tower by monitoring data of the sensor.

The application provides an end-side large model resource optimization method and system, and a storage medium. The method comprises the following steps: performing resource optimization trigger detection on an end-side large model; if the resource optimization trigger detection is qualified, obtaining current resource optimization event information, determining a target resource level according to the current resource optimization event information; comparing the current resource level with the target resource level to obtain a resource comparison result, and performing resource optimization processing on the end-side large model according to the resource comparison result. According to the embodiment of the application, the resource optimization trigger detection is performed on the end-side large model to determine whether the resource optimization operation needs to be performed on the end-side large model. The target resource level can be effectively determined by obtaining the current resource optimization event information. The resource optimization processing can be automatically performed on the end-side large model based on the resource comparison result, without the need to perform quantization compression on the end-side large model or to reduce the performance of the end-side large model, thereby improving the user experience.

The application provides a 3D inkjet printing device, a model material quantity determination method and device. The quantity of at least two model materials required by the 3D inkjet printing device for printing a 3D model can be determined according to different printing modes of the 3D inkjet printing device. Therefore, the quantity of the at least two model materials required for printing the 3D model can be determined more quickly and effectively before the 3D inkjet printing device prints the 3D model, so that early quotation and / or early judgment of whether the quantity of the materials stored in the 3D inkjet printing device can meet the requirements can be realized, and the materials for replenishment can be prepared in advance, so that the normal use of the 3D inkjet printing device is ensured, and the user experience of the 3D inkjet printing device is improved.

Embodiments of the present disclosure disclose a model training method, an information generation method, an apparatus, a device and a medium. A specific implementation of the method comprises: obtaining a set of item value presentation information and a set of associated item information corresponding to each item value presentation information; for the set of item value presentation information, performing the following training steps: inputting target item value presentation information in the set of item value presentation information and the corresponding set of associated item information into an initial multi-view click information generation model to generate presentation click information and a set of associated item click information; determining whether the initial multi-view click information generation model is trained to completion according to the presentation click information and the set of associated item click information; and in response to determining that the training is completed, determining the initial multi-view click information generation model as a multi-view click information generation model. This implementation is related to artificial intelligence, and by using the multi-view click information generation model, the presentation click information for the target item value presentation information can be accurately and efficiently determined.

The application relates to a data storage method, a data query method, a computer device and a medium, and the method comprises the following steps: obtaining first to-be-processed data; wherein the first to-be-processed data comprises a first type parameter, a first time parameter and first target data; based on the first type parameter, a first data table corresponding to the first target data is determined; wherein the difference between each adjacent data is used to determine whether the first target data exists in the first unit time; the first unit time is a preset minimum statistical time; based on the first to-be-processed data, a second time is determined; and the first data table is updated so that the difference between the first data and the adjacent second data in the first data table is not zero. Through the application, the technical problem that the target data in the target time cannot be quickly determined is solved, and the technical effect that the target data in the target time is quickly and efficiently determined is realized.

The invention discloses a signal lamp area determination method and device, and a storage medium. The method comprises the following steps: obtaining a plurality of target images of a target signal lamp group; generating a plurality of target speculation areas for the target signal lamp group based on the target detection result of each target image; determining at least one candidate region of interest for the target signal lamp group based on the plurality of target speculation regions; and in response to a selection operation of the user, determining a target region of interest of the target signal lamp group from the at least one candidate region of interest. In this way, the accuracy of signal lamp area determination can be improved.

This invention discloses a method for identifying overlapping materials and calculating material area in the field of image processing technology. The identification method includes: acquiring a material conveying image and determining connected components in the material conveying image; the connected component is composed of at least one closed material region; performing instance segmentation on the connected component to obtain material regions within the connected component; performing erosion processing on the entire connected component image after segmentation of material regions, and randomly extracting any pixel from the eroded independent region; determining the number of the arbitrary pixel located within the connected component, and judging whether the connected component is overlapping material or independent material. This method can identify overlapping and independent materials on a conveyor belt, determine the stacking situation of materials during material transportation, thereby facilitating the calculation of material area and improving material sorting efficiency and production efficiency.