425results about How to "Efficient determination" patented technology

The invention discloses a method and a system for determining memory access permission of equipment and electronic equipment. The method is applied to an input and output physical memory protection (IOPMP) unit and can comprise the steps that a memory access request of equipment is obtained, at least one IOPMP entry matched with the equipment in the IOPMP unit is determined, the memory access request is used for making the equipment request to access data stored in a memory address corresponding to the IOPMP unit, and the IOPMP entry is used for representing a data structure of the IOPMP unit; the memory access request is verified in at least one IOPMP entry, at least one verification result is obtained, and the verification result is used for representing whether the device has the access permission in the corresponding IOPMP entry or not; based on the verification result, an access permission result corresponding to the memory access request is generated, and the access permission result is used for representing whether the device is allowed to access data stored in the memory address or not. The technical problem that the memory access permission of the equipment cannot be effectively determined is solved.

The invention relates to pipeline leakage detection, in particular to an urban and rural water supply network leakage monitoring method based on a large model, and the method comprises the steps: constructing a water supply network leakage detection large model, obtaining real-time audio signals collected by each monitoring point of a water supply network, converting the real-time audio signals into a frequency spectrum thermodynamic diagram, and inputting the frequency spectrum thermodynamic diagram into the water supply network leakage detection large model. Monitoring the leakage of the water supply network by the large water supply network leakage detection model; determining an objective function of water supply network leakage monitoring based on a detection result of the large water supply network leakage detection model, determining constraint conditions of water supply network leakage monitoring, constructing a water supply network leakage monitoring model according to the objective function and the constraint conditions of water supply network leakage monitoring, and solving the water supply network leakage monitoring model to obtain a water supply network leakage monitoring result. Determining a specific leakage position; according to the technical scheme provided by the invention, the defects in the prior art that the specific leakage position cannot be accurately determined under the condition that the layout density of the acoustic sensor is reduced, and external noise interference is easily caused can be overcome.

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

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

The embodiment of the invention discloses a slope stability early-stage risk judgment method, device and equipment based on an intelligent measurement pile, and relates to the technical field of slope engineering safety prevention and control. The scheme can comprise the following steps: acquiring sensing data of a plurality of intelligent measuring piles in a monitoring area, wherein the sensing data at least comprises displacement data and inclination data; wherein the intelligent measuring pile is arranged on the surface of a slope; based on a preset partitioning algorithm, the monitoring area is divided into a plurality of intelligent measurement pile unit spaces according to the positions of the multiple intelligent measurement piles, and each intelligent measurement pile unit space comprises one intelligent measurement pile; processing the displacement data and the inclination data of each intelligent measuring pile to obtain a deformation parameter vector of each intelligent measuring pile; the deformation parameter vector is compared with a first early warning threshold value, and an over-limit intelligent measurement pile is obtained; a preset clustering algorithm is utilized to cluster the over-limit intelligent testing piles, a plurality of risk partitions in the monitoring area are obtained, and each risk partition comprises at least one intelligent testing pile unit space; according to the deformation parameter vector of each risk subarea intelligent measurement pile, determining a risk subarea comprehensive deformation characterization parameter value, and comparing the risk subarea comprehensive deformation characterization parameter value with a second early warning threshold value to obtain a risk grade of each risk subarea; according to the comprehensive deformation characterization parameter value of the risk partition and the area factor of the comprehensive deformation characterization parameter value, determining the comprehensive deformation characterization parameter value of the overall risk of the slope, and comparing the comprehensive deformation characterization parameter value with a third early warning threshold value to obtain the overall risk level of the slope, so that the early risk state of the slope stability can be comprehensively and accurately judged under the condition of realizing large-range coverage monitoring.

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

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

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

The invention provides a pumped storage power station site selection method based on an improved analytic hierarchy process and related equipment. The method comprises the following steps: constructing a hierarchical structure model of pumped storage power station site selection; refining the criterion layer, comparing the relative importance of each factor of the criterion layer in pairs by adopting a scaling method of 1-6 and reciprocals thereof, and constructing an initial judgment matrix; constructing an entropy weight matrix by using an entropy weight method according to each factor; correcting the initial judgment matrix according to the entropy weight matrix to obtain a corrected judgment matrix; determining a weight value of each factor according to the correction judgment matrix and performing consistency verification; determining a scoring rule of each factor, calculating a score of each factor, and calculating a comprehensive score according to the score of each factor and the weight value; and determining an optimal power station site selection scheme according to the comprehensive score. The pumped storage power station site selection method based on the improved analytic hierarchy process and the related equipment provided by the invention are simple and convenient, and can effectively determine the optimal power station site selection scheme.

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

The invention provides an Internet of Vehicles vehicle positioning method and system and terminal equipment. The method comprises the following steps: determining regional vehicles according to vehicle acquisition images; determining a target cooperative vehicle according to the state information of the to-be-positioned vehicle, the driving information of the regional vehicle and the number of cooperative positioning times; generating a key pair according to the vehicle information of the remaining regional vehicles to obtain a public key and a private key, and sending the public key to the to-be-positioned vehicle; indicating the to-be-positioned vehicle to encrypt the position information according to the public key to obtain position encryption data, and sending the position encryption data to the target cooperative vehicle for cooperative forwarding; and when the road test base station receives the position encryption data forwarded by the target cooperative vehicle, the position encryption data is decrypted according to the private key to obtain a vehicle positioning result. According to the embodiment of the invention, the position encryption data is sent to the target cooperative vehicle for cooperative forwarding, so that the leakage of the position encryption data is effectively prevented, and the security of vehicle positioning of the Internet of Vehicles is improved.

The invention relates to a method and device for determining a verification mode, electronic equipment and a storage medium, and the method for determining the verification mode comprises the steps: obtaining to-be-updated scene information based on a verification updating instruction, determining a verification request type and a verification mode according to the scene information, and carrying out the target evolution through employing the verification request type and the verification mode, the verification combination information is obtained, and then the target verification mode corresponding to the verification request type is determined based on the verification combination information, so that the target verification mode matched with the verification request type is determined for the verification request type. The problem that the scene requirement is not matched with the verification mode when the verification mode is randomly configured in the prior art is solved, and the verification mode matched with the scene information can be effectively determined.

The invention provides a method and a device for determining wireless signal intensity in an area and electronic equipment, which are used for improving the efficiency of determining signal intensity distribution in the area so as to realize the purpose of determining the signal distribution condition of a target signal source in the area in real time. The method comprises the steps of determining a target polyline corresponding to an obstacle in a target area in a polar coordinate system taking a target signal source as a pole based on size information of the obstacle in the target area, and determining target information that a propagation path of a target signal passes through the target polyline; wherein the target information comprises the number of the pixel points on the propagation path penetrating through the obstacle and the polar coordinates of the pixel points; based on the target information, determining signal intensity information of the pixel points in the target area; wherein the signal intensity information comprises the position information of the pixel points and the signal intensity on the pixel points.

The invention provides a method for carrying out paleogeography reconstruction by using detrital zircon age space-time distribution characteristics. The method comprises the following steps: obtaining detrital zircon age data; sorting and analyzing the obtained fragment zircon age data to obtain age distribution characteristics of the group of data; grouping according to regional or stratigraphic times, and determining a main age distribution interval; obtaining age data and proportion of a single sample in each main component; drawing spatial distribution of main components of all samples in the age interval; and according to the obtained detrital zircon age space distribution diagram, in combination with the zircon age characteristics of the potential source area, detrital material source system analysis is carried out, and paleogeography reconstruction is realized, so that the spatial and temporal distribution characteristics of detrital zircon age data can be reflected more accurately, the evolution rule of detrital material sources in space along with time is effectively described, and the reconstruction efficiency is improved. The paleogeography pattern is reconstructed, and a reliable basis is provided for research of important geological events.

The invention provides a method and a device for determining the failure rate of nuclear power station mechanical equipment, which can be applied to the technical field of safety maintenance of nuclear power station equipment. In specific implementation, the equipment type of target mechanical equipment of the nuclear power station and current environment characteristic parameters related to the target mechanical equipment can be firstly obtained; according to the equipment type of the target mechanical equipment, determining a matched preset equipment fault rate model from a preset equipment fault rate model library as a target equipment fault rate model; meanwhile, according to the current environment characteristic parameters, current environment influence factor data values matched with the target mechanical equipment are obtained; and processing the current environmental influence factor data value by using the target equipment fault rate model, and determining the current fault rate of the target mechanical equipment. Therefore, the specific failure rate of the mechanical equipment in the nuclear power station in different environment scenes can be efficiently and accurately determined, errors are effectively reduced, and the operation safety of the nuclear power station is ensured.

The invention belongs to the technical field of heavy slurry pumps, and particularly relates to a heavy slurry pump shell adopting a replaceable structure, the heavy slurry pump shell comprises a base and a rotating mechanism, the rotating mechanism is arranged above the base and comprises a connector, a rotating bearing, a rotating ring and a pump shaft, and the output end of the pump shaft is provided with a pressure reducing sleeve and an impeller; the pump further comprises a pump shell assembly and a protection assembly, the pump shell assembly comprises a pump body and a pump cover which are detachably connected through a locking mechanism, and the protection assembly comprises a rear protection plate and a front protection plate which are detachably connected through a fastener. The pressure reduction sleeve is connected with the pump body and the rear protection plate in a clamped mode, the protection assembly and the pump shell assembly are fixed through the locking mechanism and the fastener, the internal structure can be rapidly disassembled and assembled, the internal structure can be conveniently and independently replaced, the maintenance cost can be effectively reduced, and the working efficiency can be effectively improved. And meanwhile, by replacing the internal structure, the aging of the equipment can be effectively delayed.

The invention relates to the technical field of network security and network simulation, and discloses a malicious traffic remodeling method based on feature serialization. The method comprises the following steps: collecting traffic data of a target network environment, extracting serialization features of a load and a time interval, and further performing statistics to obtain session flow features; according to Pareto distribution, normal distribution, logarithmic normal distribution and Poisson distribution probability distribution models, serialization features conforming to target network flow features are generated, and the probability distribution model with the highest similarity with the target network flow is selected by calculating the Euclidean distance; and finally, on the basis of the model, remodeling the load and time interval sequence of the malicious traffic, and generating the network attack traffic which is difficult to detect. According to the method, the concealment of the malicious traffic is effectively improved, so that the malicious traffic is more difficult to identify by an existing detection system; the generated malicious traffic can effectively test and evaluate the capability of the network intrusion detection system.

The invention provides a human voice similarity detection method and system and a storage medium, and the method comprises the steps: obtaining a to-be-detected audio, and carrying out the preprocessing of the to-be-detected audio; performing feature extraction on the preprocessed to-be-detected audio to obtain audio features, and inputting the audio features into a pre-trained acoustic model for phoneme matching to obtain a vowel phoneme sequence; determining formant data of the audio to be detected according to the timestamp of each vowel phoneme in the vowel phoneme sequence, and determining a formant value of each vowel phoneme according to the formant data; and according to the formant value, calculating a formant difference value between the same vowel phonemes in the different to-be-detected audios, and according to the formant difference value, determining the human voice similarity between the different to-be-detected audios. According to the embodiment of the invention, the human voice similarity between different to-be-detected audios can be effectively determined based on the formant difference value, and the accuracy of human voice similarity detection is improved.

The invention provides an equipment stationing optimization method and device based on Spearman level correlation analysis, and relates to the technical field of equipment stationing optimization, and the method comprises the steps: obtaining a plurality of monitoring data sequences of a sewage treatment plant; determining a correlation analysis mode based on the plurality of monitoring data sequences; if the correlation analysis mode is Spearman level correlation analysis, grouping the plurality of monitoring data sequences based on the Spearman level correlation analysis to obtain a plurality of significance parameter groups; sequentially arranging each parameter in each saliency parameter group and an average value of correlation coefficients of other parameters in the saliency parameter group to obtain an arrangement result; determining a to-be-optimized parameter based on the arrangement result and a preset fitting rule; the monitoring device corresponding to the to-be-optimized parameter is the to-be-optimized device. In the mode, the redundancy of the parameters is effectively determined, so that the maintenance cost of monitoring equipment is reduced, and the operation efficiency of a sewage treatment plant is improved.

The embodiment of the invention provides a test method, system and device, the test system comprises a main server and a plurality of test sites respectively accessed to the main server, and the method comprises the following steps: in response to a test request for to-be-tested equipment, based on an equipment identifier of the to-be-tested equipment, querying historical test sites of the to-be-tested equipment from the main server; querying a test record of the to-be-tested equipment from the historical test site, and determining a to-be-tested target test item based on the test record; the test record comprises test items executed by the to-be-tested device at the historical test site and a test result of each test item, the test results represent whether the test items pass the test, and the target test items are test items which do not pass the test. The test items which do not pass the test can be accurately determined, the test efficiency can be improved, and the problems that manual determination of the test items is prone to errors and complex in operation are solved.

The embodiment of the invention provides a scene updating method and device, equipment and a storage medium. The method comprises the steps of obtaining equipment function information of newly-added equipment; determining a matching degree score between the equipment function information and the function demand information corresponding to the intelligent scene; counting a matching degree score between the function demand information corresponding to each intelligent scene and the equipment function information; determining a to-be-updated intelligent scene according to the matching degree score; and adding the new equipment to the intelligent scene to be updated to obtain a target intelligent scene. According to the embodiment of the invention, the function requirement of the new equipment can be accurately identified, the existing scene can be efficiently matched, the intelligent scene to be updated can be quickly determined, the new equipment can be automatically added into the scene, the efficiency of configuring the new equipment into the existing scene is remarkably improved, and the user experience is greatly improved.

The invention relates to a device and a method for measuring neutron shielding capability of concrete at high temperature, the device comprises a neutron emitter, a shielding device and a neutron receiver, the neutron emitter is located at a first side of the shielding device, and the neutron receiver is located at a second side, opposite to the first side, of the shielding device; the shielding device comprises a support and samples, the samples are arranged on the support, the samples comprise three test samples and a measurement environment background sample, the three test samples are a control group, a cylindrical concrete test piece and a detection piece group in sequence, and the cylindrical concrete test piece group is arranged on the support. An ultrahigh heat-conducting polymer film layer and a stainless steel alloy sleeve layer are sequentially arranged on the outer side of the cylindrical concrete test piece, and the detection piece comprises a temperature sensor and a strain gauge. The neutron shielding capability is measured by adopting the measuring device, so that the neutron shielding capability of the new-generation molten salt reactor nuclear energy system warehouse concrete is effectively measured, and the thickness design of the neutron shielding concrete in engineering construction is facilitated.

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

The invention belongs to the field of laser application, and particularly relates to a Gaussian energy distribution-based laser beam focus positioning method, which comprises the following steps of: constructing a distribution model of laser power along an optical axis direction by using a shading baffle with a through hole, the size of which is slightly smaller than the diameter of a laser spot, and determining the focus of a laser beam by means of synchronously acquired experimental data; and the laser spot position is automatically determined. According to the method, the spot focus can be quickly and automatically positioned, and support is provided for determining the focus position in the application fields of laser processing, detection and the like.

The invention relates to the technical field of tunnel engineering, engineering geophysical prospecting, geophysics, seismic exploration and oil-gas exploration, and provides an intelligent radial interpolation seismic data processing method based on a multi-target mayfly naiad algorithm, which comprises the following steps: collecting logging data and seismic data; when radial interpolation seismic trace gather processing is carried out, a wide-azimuth trace gather is converted into a conventional trace gather, and conventional trace gather optimization processing is carried out on each azimuth; initializing parameters of the multi-target mayfly naiad algorithm, and setting a superposition weight range of each direction; constructing a target function of the multi-target mayfly naiad algorithm, and completing initialization of the multi-target mayfly naiad algorithm; carrying out iteration by adopting a multi-target mayfly naiad algorithm, and dynamically updating the superposition weight; and extracting the mayfly naiad position of the middle part in the Pareto set, and taking the superposition weight in the mayfly naiad position as the optimal superposition weight of each direction. According to the method, the multi-target mayfly naiad algorithm is adopted to determine the superposition weight of each direction of the radial interpolation seismic gather data, and high-fidelity processing of the radial interpolation seismic gather data is realized.

The embodiment of the invention discloses a data distribution method and device, electronic equipment and a storage medium. The method comprises the following steps of: receiving to-be-processed data from an upstream system at each computing node; determining whether the current computing node is in a receivable data state or not according to the state of the data queue corresponding to the current computing node; if the current computing node is in a data receivable state, writing the to-be-processed data into a data queue corresponding to the current computing node, so that the current computing node reads the to-be-processed data from the corresponding data queue for processing; and otherwise, forwarding the to-be-processed data to other computing nodes. In this way, the data flow direction of the to-be-processed data among the computing nodes is adjusted according to the actual processing capacity of the current computing node, load balancing among the computing nodes is achieved at the computing nodes, on one hand, computing resources are more fully utilized, and the resource utilization rate is increased; and on the other hand, the overall data processing efficiency is improved on the whole.

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

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

The invention discloses a production line control method and device based on digital twinning and a storage medium, and belongs to the technical field of plate processing. According to the method, production data and rolling order data of a target production line are obtained, a production line digital model of the target production line is constructed according to the production data, the rolling order data comprise target production data corresponding to different plates, and the production line digital model comprises state information of each roller; determining roller demand information corresponding to different orders according to the rolling order data to obtain multiple pieces of roller demand information; according to the multiple pieces of roller demand information and the production line digital model, multiple production scheduling schemes and corresponding roller changing schemes are determined, and the production scheduling schemes and the roller changing schemes are in one-to-one correspondence; and the production scheduling scheme corresponding to the target roller changing scheme in the multiple roller changing schemes is selected and executed, and the efficiency of the production line is improved.