13results about How to "Improve setting accuracy" patented technology

The invention discloses an ODT parameter optimization method and device, electronic equipment and a storage medium, and relates to the field of circuit simulation, and the method comprises the steps: determining target memory particles from a target memory link, and building an active link simulation model for the target memory link; based on the active link simulation model, respectively performing weight simulation on each memory particle on the target memory link, and determining an influence proportion of each memory particle on the target memory particle eye diagram; and according to the influence ratio, performing optimization simulation on each memory particle in sequence under the ODT parameters with different resistance values, and determining the optimal ODT parameter of each memory particle. According to the systematic optimization process, the ODT setting precision of each particle can be improved, the performance of the whole memory link can be optimized, the problem of determining the optimal parameter combination is solved, and the signal integrity and the system stability of the DDR5 memory are effectively improved.

The invention relates to the field of road traffic control, in particular to a variable lane setting method and device based on flow, a medium and equipment, and the method comprises the steps: obtaining turning flow and straight flow according to an initial lane type and a first traffic flow, screening out a target road from candidate roads, obtaining a first variable lane number according to the straight lane number, the turning flow and the straight traffic flow, obtaining a left-turn demand degree and a right-turn demand degree according to the initial lane type and the first traffic flow, and obtaining a first variable lane number according to the first variable lane number, the left-turn demand degree, the right-turn demand degree and the distance between the lanes; according to the method, the target lane type corresponding to each straight lane is obtained, the turning demand of the lane and the balance degree of the turning capacity are represented by analyzing the turning flow and the straight flow, and the demand conditions of the current target road for the left-turn lane and the right-turn lane are analyzed to set the straight lanes, so that the setting accuracy of the variable lane is improved, and the setting efficiency is improved. Therefore, the relieving degree of the traffic pressure is improved.

The application provides a pipe blank piercing process parameter self-adaptive optimization method and system, wherein the method comprises the following steps: acquiring the piercing process parameters and the pipe quality data of two-roller cross rolling; performing short-term self-adaptive optimization on the piercing process parameters through the pipe quality data and a preset short-term self-adaptive model; screening high-quality pipe quality data according to the results of the short-term self-adaptive optimization; establishing an excellent sample library based on the high-quality pipe quality data, wherein the excellent sample library comprises the high-quality pipe quality data and the piercing process parameters corresponding to the high-quality pipe quality data; performing long-term self-adaptive optimization on the piercing process parameters corresponding to the high-quality pipe quality data through the high-quality pipe quality data and a preset long-term self-adaptive model, and obtaining the setting precision interval of the pipe blank piercing process parameters. By using the application, the problems of low precision and low efficiency caused by the dependence of the current piercing machine process parameter setting on the calculation of the traditional analytical model and artificial experience correction can be solved.

The invention provides a turbidity initial field setting method and system for a water turbidity forecasting model, and the method comprises the following steps: S1, collecting multi-source data, and carrying out the preprocessing of the data; s2, feature extraction and feature selection; s3, training a machine learning model; s4, using the trained machine learning model to obtain a turbidity initial field forecast result; s5, performing spatial interpolation by using actually measured turbidity data of the monitoring points to obtain a turbidity initial field interpolation result; s6, fusing the turbidity initial field forecast result and the turbidity initial field interpolation result to obtain a fused turbidity initial field; s7, performing physical constraint and smoothing processing on the fusion turbidity initial field; s8, quantitatively analyzing the total uncertainty of the fusion turbidity initial field; and S9, correcting and fusing the turbidity initial field, and finally obtaining a reasonable turbidity initial field setting scheme of the water turbidity forecasting model. According to the method, the turbidity initial field setting precision of the water turbidity forecasting model is improved.

The application discloses a construction linear control method for a large-span non-equal-span cast-in-situ box girder, and comprises the following measures: pre-camber optimization, theoretical deflection simulation based on a coupling model of the box girder and a movable formwork, model correction combined with pre-test, and selection of a sectional pre-camber design curve according to the span stiffness difference; deformation collaborative control, concrete pouring according to a layered sequence, control of the bottom form elevation and pouring interval time, and synchronous monitoring and coordination of the deformation of the movable formwork and the box girder; inter-span constraint control, rigid connection structure arranged in the unequal-span connection area to constrain the non-longitudinal displacement, and review of the elevation difference at the connection after pouring; stress adaptation control, real-time monitoring of the deflection and stress of the stress concentration area, and control through adjustment of the formwork elevation, adjustment of the pouring rhythm or addition of local reinforcing structure when the data is out of limit. The method can ensure that the bridge linear shape meets the design requirements and reduce the risk of structural stress concentration.

The image processing method disclosed herein includes: a step of acquiring first image data obtained by measuring a first sample using a first measurement means (S10); and a step of setting a candidate group of a first region of interest based on the first image data (S12). Furthermore, the image processing method includes: a step of acquiring second image data obtained by measuring the first sample using a second measurement means different from the first measurement means, reflecting a physical quantity different from the first image data (S14); and a step of setting a region of interest group in the first image data or the second image data based on the candidate group of the first region of interest and the second image data (S16).

The invention discloses an intelligent monitoring system for communication machine room equipment, and relates to the technical field of machine room monitoring, and the system comprises a data collection module which is used for obtaining the operation signals of all electrical equipment in a communication machine room, and obtaining the operation parameters of all the electrical equipment according to all the operation signals; the data processing module is used for preprocessing the operation parameters of each electrical device; the data analysis module is used for respectively obtaining an early warning threshold value of each electrical device according to the preprocessed operation parameters of each electrical device; the monitoring and early warning module is used for respectively displaying the operation parameters of each electrical device in a time sequence, and is also used for generating an early warning instruction corresponding to each electrical device and performing early warning in a preset mode when the operation parameters of each electrical device exceed a corresponding early warning threshold value; the problems of incomplete monitoring coverage, scattered monitoring nodes, high dependence on manual analysis and judgment and the like at present are solved.

The application provides a kind of air knife parameter setting method for continuous hot galvanizing production, relate to the technical field of hot galvanizing.The method comprises: generating air knife distance and height setting table based on historical production data statistical analysis, and realizing parameter continuous matching by using interpolation algorithm;At the same time, an air knife pressure prediction model based on random forest algorithm is constructed.Combining real-time data, parameters are extracted from the setting table and input into the model, and the output air knife pressure setting value is obtained.The setting table and the prediction model are updated and iteratively optimized using recent qualified data.The application obtains more accurate, stable and excellent air knife parameter setting for zinc layer thickness control through data acquisition, statistical analysis, setting table optimization, model construction and training, air knife pressure setting value output, adaptive updating and iterative optimization.The method is simple and easy to operate, low in cost, high in precision, strong in stability and high in efficiency, which is beneficial to industrial large-scale production and promotion.

The invention discloses a cache management method, system and device and a storage medium, and relates to the field of data caching, and the method comprises the steps: under the condition that an elimination trigger instruction is received, at least based on the access frequency, the access timestamp, the read operation delay duration and the library table data volume of each library table, carrying out an update operation on the respective weight value of each library table, and obtaining the updated weight value of each library table, and managing each library table in the cache based on the updated weight value. According to the method, the access frequency, the access timestamp, the read operation delay duration and the library table data volume based on each library table are configured, and the respective weight value of each library table is updated, so that the influence of different time periods on the weight value is fully considered in the obtained updated weight value. Meanwhile, each library table in the cache is managed by configuring the updated weight value based on each obtained library table, so that the management precision of the cache in different time periods is improved.

The invention discloses a micro-grid regulation and control threshold intelligent setting method for emergency power control. The method comprises the following steps: step 1, constructing a micro-grid emergency power control scene set; 2, a generative adversarial network model is constructed, the generative adversarial network model comprises an emergency power control scene generator and a microgrid regulation and control threshold effect discriminator, and the microgrid emergency power control scene set is input into the generative adversarial network model for multiple rounds of adversarial learning, parameters of a self reward function are optimized and solved through an improved plant cell group algorithm of the emergency power control scene generator, so that a current micro-grid regulation and control threshold value is obtained, and whether the current micro-grid regulation and control threshold value meets the micro-grid emergency power regulation and control requirement or not is judged by a micro-grid regulation and control threshold value effect discriminator. If not, iteration adversarial learning continues, and if yes, iteration is stopped, and the current micro-grid regulation and control threshold value is output. According to the invention, the reliability and stability of the micro-grid in a complex power system can be effectively improved.

The invention relates to the field of road traffic control, in particular to a variable lane setting method and device, a medium and equipment, and the method comprises the steps: obtaining a turning flow proportion according to a second traffic flow and a third traffic flow, and setting a turning lane as a turning and straight variable lane if the turning flow proportion is smaller than a first proportion threshold value, if the turning flow proportion is larger than a second proportion threshold value, the number of second variable lanes is obtained according to the total number of the straight lanes, the turning flow proportion and the difference value of the second proportion threshold value, and the newly-added number of the left-turn lanes and the newly-added number of the right-turn lanes are obtained by combining second traffic flow corresponding to the left-turn lanes and the right-turn lanes; according to the lane distance, the straight lane needing to be variably arranged is set to be the straight and left-turn variable lane or the straight and right-turn variable lane, and the flow conditions of the left-turn lane and the right-turn lane are comprehensively considered, so that the left-turn demand and the right-turn demand of vehicles are balanced; the setting accuracy of the variable lane and the relieving degree of traffic pressure are improved.

The invention provides a large-diameter shield ventilation shaft system and a construction method. According to the scheme, the construction method comprises the following steps that S1, surveying and setting out are conducted, and a steel-concrete prefabricated pedestal is installed; s2, guide rail assembly and concrete formwork construction; s3, cast-in-place concrete construction; s4, designing a guide table on the shield tunneling machine, and air-pushing the guide table to pass through the air shaft; s5, assembling the negative ring duct pieces; and S6, the shield tunneling machine is started, and the negative ring duct piece is reinforced. According to the construction method of the large-diameter shield air shaft passing system, the construction period is short, the construction cost is low, the construction technical problem that the large-diameter shield cannot horizontally move to pass through the air shaft section under the working condition that the curve radius is large is solved, the construction method has the multiple construction advantages of being high in stability, high in efficiency, high in benefit and the like during implementation, and the technical benefit is remarkable.

The application provides a safety area configuration method of a laser radar, an electronic device and a storage medium. The method comprises the following steps: generating a two-dimensional grid in a rectangular coordinate system on a display terminal; obtaining a first mapping relationship between the two-dimensional grid and a field of view angle range of the laser radar according to the field of view angle range of the laser radar and the two-dimensional grid; acquiring at least one planar graph in the two-dimensional grid and a preset monitoring distance corresponding to each planar graph input by a user; obtaining a three-dimensional safety area corresponding to the laser radar according to the at least one planar graph, the preset monitoring distance corresponding to each planar graph and the first mapping relationship; and starting the laser radar to scan the three-dimensional safety area and obtaining a safety detection result. The method is beneficial to improving the setting accuracy of the three-dimensional safety area, and further improving the accuracy and reliability of the safety detection result.