50results about How to "Improve determination efficiency" patented technology

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 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 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 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 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.

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.

The present disclosure relates to a communication method, device, electronic equipment, chip, medium and product, and belongs to the technical field of communication. The method comprises: receiving a target signal sent by a communication sender, and performing channel estimation on the target signal to determine a channel estimation result; determining, based on the channel estimation result, correlation information of two estimation information of an antenna array in any spatial dimension; determining, based on the correlation information corresponding to any spatial dimension, an evaluation index of each candidate beam index in any spatial dimension; and determining, based on the evaluation index of each candidate beam index in each spatial dimension, a target beam index applicable to each spatial dimension; wherein the target beam index applicable to each spatial dimension is used to determine a precoding matrix corresponding to the antenna array. Thus, the present disclosure proposes a mechanism for decoupling the evaluation index calculation in each spatial dimension, which converts high-dimensional joint calculation into low-dimensional independent calculation, and can effectively reduce the calculation complexity required for determining the precoding matrix.

This invention discloses a method and apparatus for operational risk assessment based on multidimensional data. The method includes: acquiring operational information of a target device, including basic attribute information, real-time status information, and wear and tear maintenance information; determining whether the target device meets preset basic operational assessment conditions based on the operational information; and if so, determining the operational risk assessment result corresponding to the target device based on the operational information and the preset operational assessment conditions. Therefore, this invention can intelligently realize the function of equipment operational risk assessment, which is beneficial to improving the comprehensiveness and scientific nature of the equipment operational risk assessment method, thereby improving the accuracy and reliability of the determined operational risk assessment results, and also improving the efficiency and convenience of determining the operational risk assessment results.

The present application relates to the technical field of data processing, and in particular, the present application provides a query method for to-be-queried data, an electronic device and a storage medium. The query method comprises: determining at least one query entity corresponding to original query data based on the original query data input by a first user; for each query entity in the at least one query entity, determining a target entity matching the query entity in a preset entity corresponding to a first target dimension, and taking a preset query result corresponding to the target entity as a first target result corresponding to the query entity; and determining a final target result corresponding to the original query data based on the first target result corresponding to each query entity. The present application can improve the generation efficiency and accuracy of the final target result.

The section of a backup plate is of an L-shaped structure, an L-shaped groove of the backup plate is formed outwards, the outer wall of a vertical plate of the backup plate is attached to the cover edge of the corresponding end of the machine tool left side protective cover, and an end plate which is in contact with the front side wall of the machine tool left side protective cover for positioning is fixed to the right end of the backup plate. A position-adjustable locking device which makes contact with the rear side wall of the machine tool left side protective cover and is matched with the end plate to be clamped and fixed to the corresponding end of the machine tool left side protective cover is adjustably fixed to the left end of the backup plate. A positioning assembly which is attached to the inner wall of the welding end of the machine tool left side protective cover and used for positioning the welding positions of the two connecting blocks on the machine tool left side protective cover is arranged on the outer wall of the vertical plate of the backup plate. According to the utility model, the problems of high labor intensity, low measurement efficiency and poor welding consistency existing in the traditional measurement mode of determining the position of the connecting block before welding are solved, the welding position of the connecting block is quickly determined, the welding quality and the welding efficiency are improved, and the labor intensity is reduced.

Embodiments of the present application provide a body-in-white position identification method, device and equipment, and a storage medium, relating to the technical field of automobile installation. The method comprises: under the condition that a laser emitting unit emits a laser beam to a positioning block, collecting a laser beam induction voltage generated after photoelectric sensor array performs photoelectric charge induction; determining an irradiation position of the laser beam based on the laser beam induction voltage and an installation inclination angle of the photoelectric sensor array, and determining a first initial position of the positioning block according to the irradiation position; scanning the positioning block through a laser ranging sensor to determine a real-time position of the positioning block; and in response to the deviation between the first initial position and the real-time position being greater than a preset value, generating position abnormality information, which is used to indicate precision abnormality of the body-in-white.

The present application relates to the field of optical cable routing survey, and discloses an optical cable routing determination method based on an exciter, an optical sensing system, equipment and a storage medium. The method comprises: the exciter converts device information and position information of the exciter into voice information based on a start instruction issued by a server, and plays the voice information to generate sound waves, which act on an optical cable arranged around the exciter to cause deformation, an optical cable sensing device acquires reflected light signals returned based on the deformation, and obtains the position of the optical cable well based on vibration information, and the server obtains the optical cable routing based on the positions of the optical cable wells. The scheme places an exciter capable of emitting specific voice content on the optical cable well, analyzes vibration characteristics in the optical cable to obtain the position of the exciter, thereby determining the optical cable routing, ensuring the positioning accuracy of the optical cable well, improving the accuracy of the optical cable routing determination result, and improving the optical cable routing troubleshooting speed.

The invention relates to an object volume determination method, computer equipment and a readable storage medium, and relates to the technical field of logistics. The method comprises the steps of obtaining an image of an object; the image comprises a reference object area of the object; clustering each point in the image to obtain an initial plane set corresponding to the image; each initial plane in the initial plane set corresponds to a plurality of plane points; determining to-be-separated planes in the initial plane set, and separating the to-be-separated planes to obtain a candidate plane set; the to-be-separated plane is an initial plane of which a plurality of corresponding plane points belong to different planes; determining an intersection plane set intersected with the reference object area and a supporting plane of the object from the candidate plane set according to the reference object area; and determining a first object point cloud of the object according to the intersection plane set and the reference object area, and determining the volume of the object according to the plane point cloud of the support plane and the first object point cloud. By adopting the method, the object volume determination efficiency can be improved.

This application discloses a method for determining a display mode and a vehicle, relating to the field of vehicle control technology. The method includes: determining the first importance of a vehicle function to be displayed to the occupants based on their attribute information; determining the second importance of the vehicle function to the current driving process based on the vehicle's current driving scenario; determining the vehicle's usage preference for the vehicle function based on its historical usage information; and fusing the first importance, second importance, and usage preference levels to determine the target display mode corresponding to the vehicle function based on the fusion processing result. The technical solution of this application embodiment can make the target display mode more closely match the actual driving conditions of the vehicle and the actual needs of the occupants, thereby improving the convenience and experience of occupants using vehicle functions.

The application provides a frequency control method and device for a new energy station. The application trains a neural network by using grid-connected point data, external data and control data of the new energy station, obtains a primary frequency modulation model and a secondary frequency modulation model of the new energy station, and predicts a control strategy of the new energy station based on the primary frequency modulation model and the secondary frequency modulation model, so that the frequency control of the new energy station is realized. The application mines digital features of new energy data based on a neural network training method, establishes a prediction model of a new energy control strategy, simplifies a modeling method of the new energy station, reduces the complexity of the control strategy prediction model, reduces the calculation time, improves the determination efficiency of the control strategy, and realizes the rapid frequency control of the new energy station.

This application discloses a method, apparatus, storage medium, and electronic device for determining the location of rebar breakpoints. The method includes determining corresponding target segment intervals based on the distances between multiple adjacent supports with a connection relationship in an engineering drawing; determining a current breakpoint in the engineering drawing that matches at least one target rebar object based on a first reference length of a first reference rebar object; repeating the following steps until the remaining length of the target rebar object is less than the first reference length: if the current breakpoint is within the target segment interval, determining the next current breakpoint based on the first reference length, using the current breakpoint position as the starting point; if the current breakpoint is outside the target segment interval, adjusting the current breakpoint position to within the target segment interval that meets the segment length condition, and determining the next current breakpoint based on the first reference length. This application solves the technical problem of low efficiency in determining the location of rebar breakpoints in related technologies.

The invention belongs to the technical field of computers, and provides a fault processing method, electronic equipment and a storage medium. The method comprises the steps of collecting equipment information of equipment; detecting whether the equipment is abnormal or not based on the equipment information; if the equipment is abnormal, acquiring log data matched with an event log in the equipment information from a database; and determining a solution strategy of the equipment based on the log data. According to the method, the abnormal condition of the equipment can be quickly determined, and an effective solution strategy can be timely obtained for fault recovery, so that stable operation and performance of the equipment can be ensured.

This disclosure relates to the field of data processing technology, specifically to data acquisition methods, data display methods, data reporting methods, and apparatus. The data acquisition method applied to a server includes: determining the current network level based on the network conditions between the server and the mobile device; determining the current sampling rate corresponding to the current network level based on a preset correspondence between network levels and sampling rates; sending a sampling rate command to the industrial control computer (ICC) based on the connection with the ICC and the current sampling rate to control the ICC to acquire data based on the current sampling rate; receiving data reported by the ICC; and sending the data to the mobile device for display. This method enables the data acquisition frequency to adapt to the network conditions between the server and the mobile device, thereby effectively avoiding data redundancy or packet loss, ensuring the integrity and efficiency of data transmission, and thus improving the reliability of data display on the mobile device.

The application discloses a parking position determination method, device and equipment and a storage medium, and relates to the technical field of automatic driving. The parking position determination method comprises the following steps: dividing an image of a goods stacking area into a plurality of first grid areas of equal size; selecting at least one second grid area from the plurality of first grid areas, wherein the at least one second grid area does not belong to an obstacle and a transport vehicle can drive to the at least one second grid area from an entrance of the goods stacking area; and determining a corresponding position of the second grid area with the minimum parking cost value in the goods stacking area as a parking position of the transport vehicle, wherein the parking cost is determined by using at least one of a distance between the second grid area and a target working position and road surface information of the second grid area. The embodiment of the application can improve the efficiency and rationality of the parking position determination.

The invention discloses a method and device for determining the fault type of a gas-driven urea system in a vehicle and the vehicle. The gas-driven urea system comprises a urea nozzle and a reverse blowing valve, and the method comprises the steps that in response to the fact that the gas-driven urea system is in a first working state, first pressure information of the gas-driven urea system and the duty ratio of the urea nozzle are obtained; based on the first pressure information and the duty ratio, the gas-driven urea system is detected, and a detection result is obtained; the state of the gas-driven urea system is controlled to be switched from a first working state to a second working state in response to the detection result indicating that the gas-driven urea system breaks down; and the fault type of the fault is determined based on second pressure information of the gas-driven urea system in the second working state, and the second pressure information is used for representing the fluctuation degree of the pressure of the gas-driven urea system in the second working state. The technical problem that the fault type determination efficiency of the urea system in the vehicle is low is solved.

The invention provides a semiconductor device process parameter optimization method and system based on data driving. The semiconductor device process parameter optimization method comprises the steps of obtaining process parameters and a data set of corresponding intermediate physical variables and device performance indexes; based on the mapping relationship between the process parameters and the intermediate physical variables, training to obtain a physical prediction model; training to obtain a performance prediction model based on the mapping relation between the intermediate physical variables and / or the process parameters and the device performance indexes; based on the physical prediction model and the performance prediction model, performing reasoning calculation on input process parameters to obtain corresponding intermediate physical variables and device performance indexes; and determining a process parameter range meeting a target performance requirement under a preset process constraint condition based on a prediction result of the device performance index.

The application discloses a modal test point position virtual indication system and method based on augmented reality, and relates to the technical field of modal testing.The system comprises a data acquisition module, an augmented reality display module and a positioning tracking module.The data acquisition module is used for acquiring structural information and modal data of a measured object; the augmented reality display module is connected with the data acquisition module and is used for superimposedly displaying virtual test point position information on a corresponding position of a real object; and the positioning tracking module is used for tracking the relative position and posture of a device and the measured object in real time, so that the virtual test point position is accurately matched with the real object.The application improves the efficiency and accuracy of modal test point position determination, reduces errors caused by manual marking, greatly shortens the preparation time of modal testing, and simultaneously provides intuitive virtual indication by the augmented reality display module, so that an operator can more clearly understand the test point position and operation difficulty is reduced.

The present disclosure provides a processing method and device of a resource scheduling problem, an electronic device, a storage medium and a computer program product, relates to the technical field of computers, in particular to the technical fields of natural language understanding, artificial intelligence, operations research and the like, and can be applied to a problem processing scene. The specific implementation scheme is as follows: the requirement description data of the resource scheduling problem is subjected to semantic analysis and structured processing, and hard constraint conditions and soft constraint conditions of the processing process thereof are determined; under the hard constraint conditions, the number of unmet conditions in the soft constraint conditions is taken as a first objective function, the resource scheduling problem is processed according to the problem description data, and the problem description data is corrected according to the unmet conditions to iteratively process the resource scheduling problem until a candidate scheduling scheme set is obtained; under the hard constraint conditions, a target scheduling scheme is determined from the set according to a second objective function corresponding to the requirement description data. The present disclosure improves the determination efficiency and accuracy of the target scheduling scheme.