109results about How to "Improve determination efficiency" patented technology

The invention relates to the technical field of ecological restoration, in particular to a cylindrical permeation grouting range determining method and system considering the tortuosity of a porous medium, and the method comprises the following steps: collecting porous medium characteristic data and underground water pressure at a selected grouting point position; meanwhile, Bingham cement grout characteristic data are collected, and grouting parameters are set; the tortuosity of the porous medium is considered, and then the seepage velocity of Bingham cement grout is determined based on a rheological equation of Bingham fluid and a mechanical analysis equation of an infinitesimal body in the grouting pipe; and under the condition of the cylindrical diffusion boundary, a cylindrical permeation grouting range solving model is constructed based on the seepage velocity and the unit time grouting amount calculation formula, and the cylindrical permeation grouting spatial diffusion range quantitative index is solved according to the grouting parameters so as to determine the cylindrical permeation grouting range. The grouting quality and reliability in the ecological restoration project can be improved, the construction requirement under the complex ecological engineering environment is met, and effective restoration and sustainable development of an ecological system are achieved.

The invention discloses an adaptive scheduling method based on a hydraulic model and an AI algorithm and a related device, and the method comprises the steps: carrying out the water prediction based on the current water consumption through employing an SARIMAX model, obtaining the predicted water consumption, selecting a scheme from a scheme library based on the current water consumption, the predicted water consumption and the current working condition information of a water plant, and obtaining a first scheme set, determining a second scheme set based on the first scheme set and a genetic annealing algorithm, determining a first result set by using a pipe network hydraulic model based on the second scheme set, selecting schemes from a scheme library based on the first result set to obtain a third scheme set, and determining a fourth scheme set based on the third scheme set and the genetic annealing algorithm, based on the first result set and the fourth scheme set, a pump room hydraulic model is used for determining a second result set, a water supply scheduling scheme is determined based on the first result set, the second result set and a target function, and the target water supply scheduling scheme is used for self-adaptive water supply scheduling. The safety and the stability of water supply dispatching can be improved.

The invention provides a driving track determination method and device, a terminal and a storage medium, and belongs to the technical field of vehicles. The method comprises the following steps: acquiring state data of a target vehicle; creating an initial behavior decision tree based on the state data; based on at least one of a first heuristic rule and a second heuristic rule, pruning the initial behavior decision tree to obtain a target behavior decision tree, the first heuristic rule being used for representing that the number of behavior changes of the target vehicle in the future time period does not exceed a preset number of times, and the second heuristic rule being used for representing that the number of behavior changes of the target vehicle in the future time period does not exceed a preset number of times; the second heuristic rule is used for representing that the target vehicle meets a lane changing condition; and for each behavior sequence in the target behavior decision tree, based on a plurality of behaviors in the behavior sequence and the state data, fitting the moment in the future time period and the vehicle position to obtain a driving track corresponding to the behavior sequence. According to the technical scheme, the driving track of the target vehicle can be quickly determined.

The invention discloses a video processing method and device, equipment, a storage medium and a program product, and relates to the technical field of artificial intelligence. The method comprises the following steps: acquiring a plurality of sub-lens segments in a target video; obtaining modal feature information of a plurality of modals of each sub-lens section in the plurality of sub-lens sections; on the basis of the modal feature information of the multiple modals of every two adjacent sub-lens segments in the sub-lens segments, obtaining the relevance of every two adjacent sub-lens segments in the sub-lens segments in each of the multiple modals; and obtaining plot demarcation points of the target video based on the relevance of every two adjacent sub-lens segments in each sub-lens segment in each of the multiple modes.

The invention relates to a model training method and device, a performance prediction method and device, equipment, a vehicle and a medium, and the method comprises the steps: obtaining a test data set which comprises a plurality of groups of test sample data, sequentially inputting each group of test sample data into a preset initial model, so as to obtain a first prediction performance parameter corresponding to each group of test sample data, acquiring simulation performance parameters corresponding to each group of test sample data, determining prediction precision of a preset initial model according to the first prediction performance parameters and the simulation performance parameters, and determining a target vehicle performance prediction model according to the prediction precision and the preset initial model, the target vehicle performance prediction model with high vehicle performance prediction precision can be effectively obtained, the vehicle performance corresponding to the vehicle design parameters can be predicted through the target vehicle performance prediction model, the determination efficiency of the vehicle design parameters can be effectively improved, the time cost required by the vehicle from design to machining can be effectively shortened, and the vehicle performance prediction efficiency is improved. And the design cost of a high-performance vehicle can be reduced.

The invention relates to a controllable voltage source arc extinction method, control equipment and a computer storage medium, and the method comprises the steps: S1, obtaining three-phase voltage change data outputted after the fault of a power distribution network occurs when the power distribution network has a grounding fault; s2, generating three phase voltage increment matrixes in one-to-one correspondence with the three phase lines according to the three-phase voltage change data; s3, performing sorting conversion on each phase voltage increment matrix to obtain three multi-dimensional data matrixes in one-to-one correspondence with the three phase voltage increment matrixes; s4, performing similarity analysis according to the three multi-dimensional data matrixes to obtain a first similarity coefficient capable of representing the similarity of the phase A and the phase B, a second similarity coefficient capable of representing the similarity of the phase B and the phase C and a third similarity coefficient capable of representing the similarity of the phase A and the phase C; and S5, determining a fault phase according to the first to third similarity coefficients. The fault phase determination method can be simplified, and the fault phase determination efficiency can be improved.

The invention discloses a potential traffic consumption user determination method and system based on interaction information. The method comprises the following steps: identifying traffic associated data of a user based on the interaction information; preprocessing the traffic associated data to obtain standard traffic data of the user, and constructing a multi-dimensional user vector of the user; obtaining package data of a current to-be-promoted traffic package, and constructing a multi-dimensional package vector of the current to-be-promoted traffic package; calculating the vector similarity between the multi-dimensional user vector and the multi-dimensional package vector of the user based on a preset similarity algorithm; and when the vector similarity is greater than a preset similarity threshold, determining that the user is a potential consumption user of the current to-be-promoted traffic plan. According to the technical scheme, the efficiency and accuracy of determining the potential traffic consumption users can be improved.

The invention discloses a confidence coefficient threshold determination method and device and electronic equipment. The method comprises the steps of obtaining a target recognition frame area of a to-be-recognized object in a frame selection target image; and based on the target identification frame area, determining a target confidence threshold for identifying the to-be-identified object, the target confidence threshold being determined based on different confidence corresponding to different identification frame areas corresponding to different shooting parameters. The confidence threshold is automatically determined based on different shooting conditions, the determination efficiency and accuracy of the confidence threshold are improved, and the accuracy of object recognition is improved.

The present specification discloses a method and device for positioning a geomagnetic adaptation area for geomagnetic navigation, specifically comprising: determining a geomagnetic feature map corresponding to the target area according to the geomagnetic information map corresponding to the target area. The geomagnetic feature map is input into a scale division model, and a geomagnetic feature map corresponding to the geomagnetic information map at each image resolution is generated by the scale division model. For each scale feature map, a candidate geomagnetic adaptation area in the target area at the corresponding image resolution is determined. According to each candidate geomagnetic adaptation area, the geomagnetic adaptation area of ​​the target area is determined. Compared with the current technology of manually determining the geomagnetic adaptation area, the method of the present specification is more intelligent and more automated. While the efficiency and accuracy of determining the geomagnetic adaptation area are improved, the consumption of human resources and time costs is also greatly saved, so that the execution efficiency of subsequent geomagnetic route planning based on the geomagnetic adaptation area is also improved.

The invention relates to the technical field of artificial intelligence, and provides a 6S violation detection method and device, electronic equipment and a storage medium, and the method comprises the steps: obtaining a plurality of to-be-detected images; inputting the plurality of to-be-detected images into a target detection model, and determining a predicted violation image from the plurality of to-be-detected images; inputting the prediction violation image and the target prompt instruction into the first multi-mode large model to obtain a violation detection result output by the first multi-mode large model; wherein the first multi-modal large model is obtained by performing fine adjustment on the initial multi-modal large model based on the 6S violation sample image and the violation label corresponding to the 6S violation sample image, and the violation label is obtained by inputting the 6S violation sample image and the violation positioning prompt word corresponding to the 6S violation sample image into the second multi-modal large model. According to the invention, the detection efficiency of 6S violation detection can be improved.

The application discloses a network coverage quality information determination method and device, equipment and a storage medium, which are applied to the Internet of Vehicles technical field. The method comprises the following steps: acquiring a first analysis data set of N vehicle terminals in a to-be-evaluated area; dividing M pieces of terminal data of each vehicle terminal based on position information corresponding to a time stamp, so as to obtain at least one scene data group; for each scene data group, screening target terminal data based on cell information of an access network service, so as to obtain a second analysis data set; clustering each piece of terminal data in the second analysis data set according to position information of the vehicle terminal; and determining network coverage quality information of a target area according to reference signal receiving power in each piece of target terminal data. In this way, the OTT data of the vehicle terminal, the access cell information and the POI data can be used to identify and check a scene to which terminal data belongs, and the accuracy of the determined network coverage quality information is improved.

The invention relates to the technical field of steel pipe posture positioning, in particular to a steel pipe posture determination method and device, electronic equipment and a storage medium. Carrying out the edge feature extraction of the first pipe end image through a difference and non-maximum elimination mode, and obtaining a first edge image; converting a plurality of edge pixel coordinates in the first edge image into a plurality of edge world coordinates according to an internal reference matrix describing imaging characteristics of the camera and an external reference matrix describing relative attitudes of the camera and a world coordinate system; and finally, fitting the plurality of edge world coordinates through a three-dimensional elliptic equation to obtain the posture of the steel pipe. The posture of the steel pipe is determined through image analysis, contact with a tool fixture is not needed, the efficiency of the determination process is higher, and the speed of positioning the posture of the steel pipe is increased.

This invention discloses a method, apparatus, storage medium, and terminal for predicting membrane performance based on a joint model. The method includes: obtaining the actual condition parameters required to generate a PVDF-Ni membrane under orthogonal array conditions; inputting the actual condition parameters into a pre-trained membrane performance prediction model; wherein the membrane performance prediction model is a joint model constructed based on an RSM model and an ANN model; and outputting the predicted flux and predicted rejection rate corresponding to the actual condition parameters. Because this application uses an RSM model and an ANN model to construct an RSM-ANN joint model, and uses existing data to train the RSM-ANN joint model to obtain a pre-trained membrane performance prediction model, the pre-trained membrane performance prediction model can predict membrane performance with fewer experimental parameters, thereby improving the efficiency of membrane performance determination and saving significant manpower and resources.

The application relates to a server change information determination method and device, computer equipment and a storage medium. The application relates to big data and artificial intelligence technology means. The method comprises the following steps: acquiring three-dimensional structure image information of a server room server, feature identification information of all servers contained in the server room server, and current state information of the servers, and collecting real-time change image information of the server room server; the change image information is image information corresponding to a change operation on the server; a feature image of the server contained in each change image information is extracted, and target servers corresponding to each change image information are identified based on the three-dimensional structure image information of the server room server, the feature identification information of the servers, and the feature image of each change image information; and change information of each target server is determined based on the current state information of each target server. The method can improve the determination efficiency of the server change information.

The invention discloses a diagnostic protocol execution method, device and equipment and a readable storage medium, which are applied to the technical field of vehicle diagnosis, and comprise the following steps: determining a first initial diagnostic protocol communicating with a vehicle electronic control unit; when it is determined that the initial diagnosis protocol cannot be matched with the set diagnosis function, optimization is carried out in all diagnosis protocols according to the initial diagnosis protocol, and a target optimal diagnosis protocol is determined; determining whether the target optimal diagnosis protocol is a protocol for realizing a set diagnosis function; and when the target optimal diagnosis protocol is the protocol for realizing the set diagnosis function, determining to execute the set diagnosis function based on the target optimal diagnosis protocol. Compared with the prior art that all diagnosis protocols need to be traversed, optimization can be carried out based on the initial diagnosis protocol, the target optimal diagnosis protocol can be rapidly determined, and the execution efficiency of the diagnosis protocol is improved.

This application relates to the field of equipment testing, providing a method, device, and storage medium for configuring parameters of a simulated load. The method obtains the desired test parameters of the power supply device under test, performs a load test on the device based on these parameters, obtains measured data, and adjusts the resistance value of the simulated load device to determine the target setting parameters if the difference between the actual output power and the desired power value is greater than a preset threshold. Similarly, if the difference between the desired power value and the actual output power is greater than a preset threshold, the load power of the simulated load device is adjusted to determine the target setting parameters. This method, through code scripts, enables automated parameter setting of the simulated load device, avoiding human error and improving the efficiency of determining the target setting parameters.

The present invention discloses a method, device, electronic device and readable storage medium for determining a store location. The method comprises: obtaining road data and driving trajectory corresponding to the area where the target store is located; determining a target road corresponding to the driving trajectory, wherein the target road is a road in the road data that coincides with the driving trajectory; and determining the store location corresponding to the target store according to the target road and the store location of the target store. The present invention solves the technical problem that the workload of binding the store input trajectory in the process of determining the store location in the related art is large, and the efficiency of determining the store location is low.

The invention relates to the technical field of computer programs, in particular to an experiment processing method and device, computer equipment, a storage medium and a product. The method comprises the following steps: generating an experiment operation flow meeting experiment requirements according to the experiment requirements fed back by a user; verifying the validity of the experimental operation process; under the condition that the validity verification of the experiment operation process is passed, the experiment operation process is executed, and the experiment result corresponding to the experiment demand is obtained, the dependence on artificial experience in the experiment processing process is reduced, the determination efficiency of the experiment operation process is improved, and then the experiment result is obtained under the condition that the validity verification of the experiment operation process is passed. And the experiment operation process is executed to obtain the experiment result corresponding to the experiment requirement, so that the experiment operation process can be smoothly carried out.

The present disclosure relates to a method, device, equipment and medium for processing periodic texture images, including: collecting a first image of a product under test, taking it as a current image and performing the following parameter detection operations: using GAMPD to find the texture period of the current image; detecting whether there are abnormal pixels in the current image one by one according to each texture period according to a neighbor comparison algorithm and a current detection threshold; determining the texture period without abnormal pixels as a candidate texture period; collecting a second image of the product under test after the position is moved, taking the spliced ​​image of the product and the current image as a new current image, and performing the parameter detection operation again; stopping until it is detected that there are no abnormal pixels in the current image, determining the target texture period, target detection threshold and target golden template image through the above steps; using the target texture period, target detection threshold and target golden template image to perform image defect detection. The present disclosure can improve the accuracy of image defect detection.

The application discloses a kind of graph data query statement determination method, device, equipment and medium, it is related to computer technical field, including: obtaining graph data query information, and determine whether the graph data query information is legal;If the graph data query information is legal, then based on the graph data query information from local preset graph data query statement library filtering out graph data query statement;Obtain statement query configuration information, and based on the statement query configuration information from the graph data query statement determines out to be configured graph data query statement, and according to the statement query configuration information to the to be configured graph data query statement is configured, to obtain target graph data query statement.Through the above technical scheme of the application, the efficiency of graph data query statement determination can be improved, the diversity of business requirements is increased, and the security of graph data query statement is improved.

The application relates to a method and system for determining the maximum power of a flow battery according to a flow coefficient. The maximum charging power determination method comprises the following steps: selecting a charging test SOC value, the maximum current satisfying a charging cutoff condition being the maximum charging current of the charging test SOC value; calculating a charging flow coefficient according to the charging test SOC value, the maximum charging current under the charging test SOC value, a first electrolyte single-sided single-piece flow and the total vanadium concentration of the electrolyte; selecting a charging target SOC value, calculating the maximum charging current under the charging target SOC value according to the charging flow coefficient; calculating the theoretical voltage of a single-piece battery under the charging target SOC value; and calculating the maximum charging power under the charging target SOC value. The maximum charging and discharging power can be calculated through a theoretical formula based on the measured flow coefficient, the calculation efficiency is high, the safety risk of the test is reduced, and the system reliability and universality are improved.

The invention discloses a vehicle and a display method thereof, and relates to the technical field of vehicles. After a vehicle detects that a target object exists around the vehicle through a perception sensor, a second position of each contour point in a target simulation view field of a driver can be determined based on a first mapping relation and a first position of a plurality of contour points of the target object in a view field of the perception sensor; and then determining the display position of each contour point in the glass display screen based on the second mapping relation, and then displaying the contour of the target object in the glass display screen based on the display positions of the plurality of contour points. Therefore, on one hand, the content displayed by the vehicle is enriched, on the other hand, the display mode of the vehicle is enriched, and on the other hand, a driver can observe the virtual picture (namely the outline) and the real environment (namely the target object) through the glass display screen, so that superposition and fusion between the virtual picture and the real environment are achieved, and the effect of augmented reality is achieved. Therefore, the driver is effectively reminded.

The present invention relates to artificial intelligence, and provides an intelligent question-answering method, device, equipment and storage medium. The method can extract a sentence to be asked from a question-answering request, and obtain a candidate question sentence from a preset corpus, obtain a first sentence matrix of the sentence to be asked based on a preset vector table, obtain a second sentence matrix of the candidate question sentence based on a preset vector table, perform feature extraction on the first sentence matrix to obtain a first feature vector, perform feature extraction on the second sentence matrix to obtain a second feature vector, calculate the matching degree of the first feature vector and the second feature vector, normalize the matching degree, obtain a similarity probability, determine the candidate question sentence with the largest similarity probability as a target question sentence, and obtain the answer corresponding to the target question sentence as a reply sentence. The present invention can improve the real-time and accuracy of the intelligent question-answering method. In addition, the present invention also relates to blockchain technology, and the reply sentence can be stored in a blockchain.

The present disclosure provides a pose determination method and device, terminal equipment and computer readable storage medium. The method comprises: obtaining a first image corresponding to an object photographed by a first camera and a second image corresponding to the object photographed by a second camera, the photographing angles of the first camera and the second camera being different; determining a plurality of first coordinates and a plurality of second coordinates, the first coordinates being coordinates obtained by projecting and quantifying a preset space coordinate according to camera parameters of the first camera, and the second coordinates being coordinates obtained by projecting and quantifying the preset space coordinate according to camera parameters of the second camera; and determining a pose of the object according to the first image, the second image, the plurality of first coordinates and the plurality of second coordinates. The accuracy of pose determination is improved.

The utility model provides a security level equipment display system, which comprises a main controller, and a first end and a second end of the main controller are respectively connected with a display and a communication module. Wherein the communication module is used for receiving equipment operation data sent by each control station; sending the equipment operation data to the main controller; and the main controller can determine the control station in an abnormal state according to the equipment operation data of each control station, and sends the equipment operation data of the control station in the abnormal state to the display. A display may display device operation data of the control station in the abnormal state. According to the system provided by the invention, the equipment operation data of the control station in the abnormal state can be displayed on the display, so that technicians can check and analyze the equipment operation data conveniently, the control strategy is determined in time, and the determination efficiency of the control strategy is improved.

The invention discloses a performance inflection point determination method and device, a medium and a program product, and belongs to the technical field of big data, the field of financial science and technology and the field of software test.The method comprises the steps that on the basis of a target value interval of a target test parameter, an inflection point search interval is determined through a dichotomy; determining a detection step length, and determining candidate performance inflection points from the inflection point search interval according to the detection step length; and under the constructed system simulation environment, performing accuracy verification on the candidate performance inflection points, and determining the candidate performance inflection points as target performance inflection points under the condition that the verification is passed. According to the invention, the determination efficiency and accuracy of the target performance inflection point are improved.

The invention relates to an index feature generation method and device, computer equipment, a computer readable storage medium and a computer program product. The method comprises the following steps: obtaining cue words, wherein the cue words comprise description information of a credit information data set, a feature generation method and a reference code text; inputting description information of the credit information data set, the feature generation method and the reference code text into the large model, and obtaining a target code text output by the large model; executing the target code text, and generating index features corresponding to the credit information data set; and outputting the index characteristics under the condition that the index characteristics meet a preset condition. By adopting the method, the index feature generation efficiency can be improved.

This invention relates to the technical field of automated sheet material processing control, and in particular to an automated control method, device, and medium for cutting irregularly shaped sheets. The method includes: constructing inner circle equations, outer circle equations, small circle equations, oblique line equations, and parallel line equations based on basic parameters; obtaining radius information corresponding to multiple segmented reference points, and determining multiple radius segment intervals based on the radius information corresponding to the multiple segmented reference points; generating target radii for each silicon steel sheet to be processed, starting from a preset reference radius, based on the silicon steel sheet thickness parameter in the basic parameters; obtaining two target intersection points corresponding to the target radius of the current silicon steel sheet based on the radius segment interval where the target radius of the current silicon steel sheet is located; determining the target chord length based on the two target intersection points; and determining the target arc length based on the target chord length and the target radius. This invention effectively solves the problem of automatically determining the processing length during the processing of lung-shaped silicon steel sheets in the prior art.