77results about How to "Avoid randomness" patented technology

The invention relates to a soil health evaluation method and device based on soil multifunction, and the method comprises the steps: collecting a soil health index value of a to-be-evaluated region according to a preset collection index; performing function division on the collection indexes to obtain a plurality of soil function categories; respectively calculating soil function scores corresponding to a plurality of soil function categories according to the soil health index values; performing clustering analysis on the plurality of soil function categories of the to-be-evaluated region to obtain weight distribution of the soil function categories; according to the weight distribution and the soil function score, calculating to obtain a soil multifunctional index of the to-be-evaluated region; and performing soil health evaluation on the to-be-evaluated area according to the soil multifunctional index to obtain an evaluation grade. According to the invention, the performance of the soil in different functional aspects can be reflected more accurately, and the soil health condition can be evaluated accurately.

The invention discloses a medicine packaging box pattern printing defect detection method, and relates to the technical field of printing quality detection, and the main scheme is as follows: collecting to-be-detected printing data and standard printing packaging box template data, and then calculating a character deviation index, a pattern position coordinate index and a to-be-detected color index according to the data; wherein the character deviation index is obtained by the pixel and format similarity index of the character area; the pattern position coordinate index is calculated based on the standard position coordinate system number and the data to be measured; a color index to be detected is calculated by a deviation color coefficient and the like, then text, position and color index thresholds are set, whether a text area, a pattern position and a pattern color are qualified or not is judged by comparing each index with a corresponding threshold, the printing defect is judged to exist as long as one of the indexes is unqualified, and the method can effectively detect the printing defect.

The invention discloses a video generation system and method based on an intelligent agent, and relates to the field of video content creation and editing. According to the invention, various artificial intelligence algorithms are called to process and fuse image information through a plurality of intelligent agent processing units, and the image information is accurately applied to a final video, so that multi-agent cooperation in a general video generation task becomes possible; wide video generation tasks are completed through the intelligent agent, and diversified video creation requirements of users can be met.

The invention discloses an unmanned intelligent production system and method for compressor parts, and relates to the technical field of compressor part production, the unmanned intelligent production system comprises a feeding assembly, a conveying assembly and a grabbing assembly, the feeding assembly is used for feeding compressor parts, and the conveying assembly is used for conveying the compressor parts; according to the compressor part conveying device, a conveying plate is lifted upwards by starting a hydraulic rod, then a first bearing fork which is lifted at the same time can be separated from a supporting fork, compressor parts can be automatically transferred to the first bearing fork, and an output shaft of a forward and reverse motor rotates by starting the forward and reverse motor, so that a rotating disc is driven to rotate in a rotating groove; and the positions of the first bearing fork and the second bearing fork are exchanged, at the moment, the first bearing fork is located above the discharging fork, the second bearing fork is located above the supporting fork, the functions of the first bearing fork and the second bearing fork are the same, and the conveying efficiency can be improved by alternately using the first bearing fork and the second bearing fork.

The invention belongs to the technical field of graphitization degree detection, and particularly relates to a method for evaluating the graphitization degree of coal-series graphite, which comprises the following steps: step 1, treating a coal-series graphite sample to prepare sample forms meeting different test requirements, step 2, analyzing the sample to obtain data characteristics, and calculating the graphitization degree of the coal-series graphite according to the data characteristics. The method comprises the following steps of 1, obtaining a sample, 2, obtaining a sample, 3, obtaining evaluation indexes and structural characteristics of the sample, 4, constructing a sample graphitization degree evaluation model, and 5, comparing the sample characteristics with the graphitization model to determine the graphitization degree of the sample. According to the method, the sample graphitization degree dynamic evaluation model is established based on the sample data, evaluation requirements of various graphitization degrees can be well compatible, the method is not only suitable for various sample data types and characteristics, but also meets various evaluation precision requirements, and particularly, the method can be directly utilized when graphitization grades need to be subdivided; other changes and more calculation steps do not need to be made.

The invention relates to an anti-seismic performance test method and system for an engineering structure, and relates to the field of anti-seismic performance tests.The method comprises the steps that deployment region information of a target engineering structure and an engineering structure three-dimensional model are obtained, and a first vibration case set is obtained; zooming the three-dimensional model of the engineering structure to obtain a three-dimensional model of the test engineering structure, and zooming the first vibration case set to obtain a second vibration case set; a test engineering structure is manufactured, the second vibration case set is traversed, a pseudo-dynamic test is executed, and a first anti-seismic performance test result set is obtained; when the first anti-seismic performance test result set has no ultimate anti-seismic performance, case optimization is carried out on the second vibration case set, and a third vibration case set test is obtained; and when the first anti-seismic performance test result set has the ultimate anti-seismic performance, outputting the ultimate anti-seismic performance. The technical problems of long anti-seismic performance test time and low test efficiency caused by subjective configuration of a vibration case for a user in the prior art are solved.

The application provides a dynamic increment-based graph information gate aggregation knowledge graph recommendation method, solves the data instability caused by random sampling and the noise fusion problem caused by double diffusion in the knowledge graph convolution recommendation method. The method comprises: dynamically selecting Top-K adjacent edges and adjacent point fusion for the current node in the knowledge graph (K is a positive integer of 10-20) in sequence. On the one hand, the matching score value of the current node, user embedding, adjacent edge and adjacent point is calculated by using the attention mechanism, the high correlation of the adjacent edge, adjacent point graph information and the candidate node of the next step is selected by using the score value, on the other hand, the selected graph information is adaptively adjusted and fused by using the gate mechanism, the adjacent information is accurately integrated into the current node embedding, and then the candidate node is diffused in sequence. Finally, through the operation of the adjacent fusion, the current node information and the adjacent graph information can be directly fused once, so that the noise information in the double diffusion and multiple fusion graphs is prevented.

This utility model relates to a training system and hand probe device for security personnel, comprising: a training uniform, a mannequin, and a hand probe device; the training uniform is worn on the mannequin, and a wireless communication tag is affixed to a predetermined position on the inside of the uniform; the hand probe device communicates wirelessly with a client, and one or more wireless communication tag readers are installed within the hand probe device. This utility model facilitates in-depth analysis and accurate feedback of training content, effectively avoids the subjectivity and arbitrariness of manual assessment, ensures the objectivity and consistency of assessment results, and helps improve the quality and effectiveness of security personnel training.

The invention provides a work order processing method and system, electronic equipment and a computer program product, belongs to the technical field of data processing, and aims to solve the problems of an existing work order processing method in the aspects of joint detection, precise positioning, quick response and the like. The method comprises the following steps: generating a corresponding work order task in response to a work order request; based on a predefined fault type troubleshooting sequence, determining a fault type which needs to be troubleshot currently for the work order task, and according to the fault type which needs to be troubleshot currently, allocating the work order task to a target processing node, the target processing node being associated with a resource entity with a corresponding fault type processing capability in an operation and maintenance resource pool; processing the work order task through the target processing node; and monitoring the processing state of the work order task, and executing a supervision operation instruction when the processing state meets a preset abnormal condition.

The present application discloses a method, device, equipment, medium and product for designing underground mine recovery routes. The method includes: obtaining the design parameters of the underground mine recovery route and the ore body boundary line above the recovery route, the design parameters including: a first length value, a second length value, a third length value and a slope value; constructing the optimal loss and depletion function of the recovery route based on the ore body boundary line, the first length value, the second length value and the slope value; generating the design scheme of the recovery route of the underground mine based on the ore body boundary line, the first length value, the second length value, the third length value and the optimal loss and depletion function. In this way, the problems of large randomness and large workload in manual interactive design can be effectively avoided, and the automation level of the design can be improved; in addition, the loss rate and depletion rate in the ore recovery process corresponding to the design results can reach the global optimum, thereby improving the overall performance of the recovery route design.

The invention discloses a crown block track surface cleaning device in a semiconductor workshop, which comprises a bottom plate, a frame is arranged on the bottom plate, and a first negative pressure fan and a second negative pressure fan are arranged in the frame; a negative-pressure air draft longitudinal cylinder extending upwards is arranged in the frame, and the bottom end of the negative-pressure air draft longitudinal cylinder is connected with a first negative-pressure fan and a second negative-pressure fan through pipelines in a communicating mode. A negative pressure air draft transverse barrel is arranged at the top end of the negative pressure air draft longitudinal barrel, the negative pressure air draft transverse barrel is vertically arranged at the top end of the negative pressure air draft longitudinal barrel, and the negative pressure air draft transverse barrel is communicated and connected with the negative pressure air draft longitudinal barrel; the two ends of the negative-pressure air draft transverse barrel are provided with dust removal modules which protrude downwards and are matched and symmetrical, and each dust removal module comprises a dust removal head cavity. Through non-contact suspended positive and negative air passage cleaning, efficient and automatic cleaning of the crown block rail surface of the semiconductor workshop is achieved, and the cleanliness of the semiconductor production environment is effectively improved.

The utility model discloses a lateral plug-in mounting type advertising parking space board. The lateral plug-in mounting type advertising parking space board comprises a base, a transparent cover plate, a two-dimensional code unit, an advertising unit, a plug-in mounting plate and a lateral sealing plate, the base is a shell and is provided with a containing cavity with an open upper end, an inserting groove is formed in the position, close to the upper end, of the inner wall of the containing cavity, one side of the inserting groove is horizontally connected with an inserting through hole, the inserting through hole horizontally penetrates through the outer cavity wall of the containing cavity, and a stepped groove is formed in the outer side end of the inserting through hole; the transparent cover plate is hermetically mounted on the accommodating cavity; the two-dimensional code unit is arranged on one side in the accommodating cavity; the advertisement unit is arranged on the other side in the containing cavity and arranged on an inserting plate made of transparent high polymer materials, and the inserting plate is detachably connected to the inserting groove by being inserted into the through hole. The lateral sealing plate is connected to the stepped groove and tightly presses the inserting plate. The advertising unit can be replaced quickly and conveniently, and the advertising effect is improved.

The present invention belongs to the field of cryptographic technology, and discloses a method, system, storage medium and terminal for implementing a soft cryptographic module. The method for implementing the soft cryptographic module includes: using a random number generation unit to manage entropy sources and generate random numbers; using a key management unit to generate a key pair, generating a KEK based on a PIN code derivation function KDF, and securely storing CSPs such as working keys and MAC verification of PSPs; using an SSL communication unit to establish an SSL secure channel with a security service platform and obtain multiple working keys from the security service platform; using a cryptographic service unit to provide cryptographic data encryption and decryption, MAC calculation, signature verification and entity authentication services. Aiming at the two core problems faced by the soft cryptographic module, the method and SDK for implementing the soft cryptographic module provided by the present invention particularly involve the selection of random number entropy sources and the generation of random numbers, secure key storage and cryptographic services, etc.

The invention relates to a parking space addressing method, a camera control method and device, computer equipment, a computer readable storage medium and a computer program product. The parking space addressing method comprises the following steps: performing numbering processing on each rod management group in a target parking area to obtain a group number corresponding to each rod management group; according to the position information of each multifunctional rod of each rod management group, determining a sorting sequence number corresponding to each multifunctional rod of each rod management group; for any multifunctional rod, according to the pixel coordinate of each parking space marking frame associated with any multifunctional rod, determining a sorting sequence number corresponding to each parking space associated with any multifunctional rod; and generating a parking space identifier corresponding to each parking space according to the sorting sequence number corresponding to each parking space in the target parking area, the sorting sequence number corresponding to each associated multifunctional rod and the group number to which the multifunctional rod belongs. By adopting the method, the intelligence of a parking space addressing mode can be improved.

The application provides a method for evaluating the risk of tuberculosis under the combined exposure of extreme weather and air pollution, comprising the steps of: obtaining meteorological data, air pollution data and tuberculosis incidence data of a target area within a target period; identifying extreme weather events based on the meteorological data, identifying air pollution events based on the air pollution data, and identifying combined exposure events based on the meteorological data and the air pollution data, wherein the combined exposure events are combinations of the extreme weather events and the air pollution events that occur within a time interval less than a preset threshold and are spatially co-located; based on the spatial co-location, constructing a regression model with the number of cases in the tuberculosis incidence data as the dependent variable and whether the combined exposure event occurs as the binary explanatory variable, and evaluating the influence of the combined exposure event on the risk of tuberculosis. The application realizes high-precision quantitative evaluation of the risk of tuberculosis under the combined exposure of extreme weather and air pollution, and provides a scientific basis for early warning and precise prevention and control.

The present application provides a kind of geologic multi-source constraint adaptive full waveform inversion method and system, constructs multiple complementary constraint norms, organically fuses multiple modal prior information, forms unified multi-source constraint framework, compared with traditional single type prior constraint, the present application can more comprehensively utilize available prior information, guide inversion to the direction that both conforms to geophysical data and geological understanding converges;While introducing adaptive regularization parameter strategy based on Bayes theory, realize the adaptive update of weight factor, avoid the subjectivity and randomness caused by the dependence of regularization parameter on experience selection in traditional method, make the inversion result more stable, and do not need tedious manual parameter adjustment, can dynamically adjust the constraint strength according to the data noise level, enhance the guiding role of prior constraint in low signal-to-noise ratio, more rely on observation data in high signal-to-noise ratio;At the same time, through the combination of model compression and forward simulation calculation, the calculation efficiency is greatly improved.

This invention belongs to the field of tunnel surrounding rock stability analysis, specifically disclosing a method for predicting tunnel surrounding rock displacement time series curves based on dynamic Bayesian networks. The method includes: S1. Discretizing influencing factors and surrounding rock displacement to establish a sample library; S2. Improving the construction method of the interpretive structure model to establish an interpretive structure model; S3. Constructing a static Bayesian network model for predicting tunnel surrounding rock displacement based on the interpretive structure model; S4. Improving the structure construction method and parameter learning method of the dynamic Bayesian network model; S5. Constructing a dynamic Bayesian network model inference method to establish a dynamic Bayesian network model; S6. Predicting the tunnel surrounding rock displacement time series curve. This invention optimizes the construction methods of the interpretive structure model, static Bayesian network model, and dynamic Bayesian network model, enabling the determination of the dynamic development of surrounding rock displacement before tunnel construction. This has significant guiding value for tunnel site selection, advanced support, construction method selection, and engineering defect diagnosis.

The application discloses a method, device and equipment for arranging blast holes in an underground mine and a storage medium. The method comprises: obtaining blast hole arrangement parameters, which represent parameter requirements related to blasting in the underground mine; generating a blast hole feasible region based on blast hole design accuracy, coordinates of a core point of a drilling machine, the blast hole arrangement parameters and a blasting space range of the underground mine, the blast hole feasible region comprising blast hole positions of a plurality of blast holes; obtaining a blast hole arrangement scheme based on the blast hole feasible region and a set blasting optimization model; and wherein the blasting optimization model takes the sum of error values between hole bottom distances of the blast holes and average hole bottom distances as an optimization target, and the blast hole arrangement scheme comprises target blast hole positions selected from the blast hole feasible region. The blast holes in the underground mine can be optimally arranged in combination with blasting boundary space constraints and parameter requirements related to blasting, thereby maximizing the uniformity of hole bottom distances between the blast holes.

The present application relates to a kind of wind power generation system grid-connected output power sustainable stable output control method, belong to wind power generation technical field.By improved adaptive moving average filtering algorithm, according to the fluctuation characteristics of wind power prediction value, obtain the optimal time-sharing period grid-connected power that satisfies the power fluctuation constraint of different time periods, effectively solve the stable output problem caused by wind power fluctuation;By complete empirical ensemble mode decomposition algorithm, power distribution and capacity configuration are carried out to energy storage, suppress the randomness of new energy output, realize the sustainable stable output of wind power generation in different time periods, effectively overcome the influence of wind power output power fluctuation on power grid operation safety and power quality;By leading fuzzy correction method, charge and discharge power of hybrid energy storage system is corrected, reduce wind farm grid-connected fluctuation, improve the cycle life of energy storage system;Time-sharing period sustainable stable wind power output power effectively reduces the configuration cost of energy storage system.

A seasonal wind energy assessment method considering seasonal wind speed simulation comprises the steps that a Canopy clustering algorithm is optimized based on a particle swarm optimization (PSO) algorithm, after two optimal parameters of the Canopy clustering algorithm are solved, the optimal Canopy clustering algorithm is used for conducting coarse clustering on daily wind speed samples, and the optimal clustering number and the initial clustering center are obtained; dividing the daily wind speed into clusters with different wind speed characteristics by using the clustering cluster number and the initial clustering center in combination with a K-means clustering model, and combining a state transition Markov chain meter and wind speed seasonality between the seasonal clusters; performing wind speed simulation on each cluster to generate a seasonal simulated wind speed sample; and calculating a wind energy evaluation index by using the simulated wind speed sample, and evaluating wind energy resources of the region. According to the method, after the wind speed is accurately simulated by considering the seasonal property of the wind speed, the quarterly wind energy resource evaluation index is calculated, the quarterly wind energy resources of the region are further accurately evaluated, and a quantitative decision basis is provided for investment planning and operation of a wind power plant.

The invention discloses an adjacency list-based model calculation sequence and algebraic ring judgment method and system. The method comprises the following steps of: initializing an adjacency list, and calculating in-degrees of all model vertexes; searching model vertexes which need to be deleted at this time and have in-degree of 0; deleting model vertexes and updating the adjacency list; repeating the steps until the model vertex with the in-degree of 0 does not exist; judging whether undeleted model vertexes exist or not, and if yes, indicating that the remaining model vertexes form an algebraic ring; determining a calculation sequence of the model according to the deletion sequence of the model vertexes; the system comprises an initialization module, an algebraic ring module and a sequence calculation module. Model information is stored in an adjacency list mode, and more space is saved; the calculation speed for a large model is high; when the model sequence is calculated, whether an algebraic ring exists or not is detected, and a model which finally forms the algebraic ring is prompted to a user.

The invention discloses a method for controlling the initial unbalance of a combined rotor, and the method comprises the steps: firstly, respectively determining the balance mode of each part, then calculating the standard residual unbalance of each part, and then carrying out the balance correction of each part until the final residual unbalance of each part is close to or reaches the standard residual unbalance. The method comprises the following steps of: recording the value and the position direction of the final residual unbalance of the parts, calculating the assembly angle of the parts according to the value and the position direction of the final residual unbalance, assembling the parts into a combined rotor according to the assembly angle, and finally detecting the initial unbalance of the combined rotor. And the final residual unbalance of the combined rotor is corrected. According to the method, the initial unbalance amount of the assembly is controlled to be minimized by controlling the assembly angle of the parts, the yield of one-time assembly is increased, the weight removal amount or the weight increase amount is reduced, the problem that vibration is generated due to local bending caused by couple unbalance is solved, and the yield of products is effectively improved.

The embodiment of the present specification discloses an emergency plan management method and related equipment, and relates to the field of data management. The method provided by the embodiment of the present specification comprises: obtaining drilling information, result verification information and change information of an emergency plan; wherein the drilling information indicates the historical drilling execution condition of the emergency plan, the verification result information at least includes function verification result and transaction verification result, and the change information includes change record of environment elements relied on by the emergency plan; according to the drilling information, the result verification information and the change information, the validity state of the emergency plan is determined; and according to the validity state of the emergency plan, the emergency plan is managed. Based on the objective and quantifiable evaluation system combined with the information of multiple dimensions, the validity state of the emergency plan can be evaluated reliably and credibly, and the validity state of the emergency plan is periodically and automatically detected, so as to ensure the guarantee ability of the emergency plan.

The application discloses an intelligent control method and device for multi-warehouse and mixed stacking, computer equipment and a storage medium. The method comprises the following steps: receiving an outbound order and analyzing the same to generate system state snapshot information; planning the outbound sequence and stacking position of goods according to the system state snapshot information and a preset heuristic rule, and generating a stacking task allocation scheme; controlling a shuttle vehicle to take the goods out of the warehouse according to the planned sequence and transport the goods to the designated position according to the stacking task allocation scheme; transporting an empty pallet to the position and lifting the empty pallet to the stacking height according to the stacking task allocation scheme; stacking the goods on the empty pallet according to the stacking task allocation scheme; and after the stacking is completed, wrapping and packaging the pallet, and transporting the packaged pallet to the target position. The method of the application can improve the overall work efficiency, intelligent degree and collaborative performance of the warehouse logistics system.

The application discloses a kind of defect detection systems, including detection device and image processing module, wherein the detection device, including object table, telecentric light source, horizontal light source, coaxial light source, camera, the object table is used to load workpiece, and the workpiece includes through-hole workpiece and non-through-hole workpiece;When the telecentric light source is opened, the camera obtains the projection image of the workpiece.The application is replaced by machine, that is, through automatic non-contact optical detection system, appearance detection and size measurement are detected to flange, and unqualified products are removed.Optical image detection replaces human eye, without visual requirements, with guaranteed definition, and also avoids the problems of personal injury and reduced efficiency caused by long-term labor of artificial;And through machine determination, consistency is strong, avoids randomness, and guarantees the overall quality of flange.

The application discloses a kind of based on improved SVD's dry-type air-core reactor optical fiber sensing noise reduction method, and improved SVD is proposed to be applied to distributed optical fiber sensing detection dry-type air-core reactor fault alarm system.Establish the backscattering model of temperature measurement system, add Gaussian white noise and utilize traditional threshold denoising and improved SVD denoising analysis signal-to-noise ratio, provide theoretical basis for experiment.Under existing conditions in laboratory, collect original anti-Stokes light with temperature information and Stokes light and obtain ratio data matrix by ratio, after remodeling data matrix, singular value decomposition reconstruction is carried out, then after remodeling matrix, the ratio signal with temperature information after denoising is obtained, into two-way demodulation formula to obtain demodulation temperature information, finally according to demodulation error, compare denoising effect, the present application can effectively reduce demodulation temperature error by noise reduction algorithm, improve system temperature measurement precision, compared with traditional wavelet denoising, improve system signal-to-noise ratio, avoid threshold selection uncertainty and other problems.

The invention relates to the field of petroleum geological exploration reservoir evaluation, and discloses a compact sandstone reservoir quality evaluation method and related equipment, and the method comprises the following steps: determining reservoir indexes according to compact sandstone reservoir characteristics; determining a weight through an entropy weight method based on the reservoir indexes; constructing a target vector function by using an ideal point method based on the reservoir indexes; substituting the weights into a target vector function to obtain positive and negative ideal solutions; and constructing a reservoir quality model according to the positive and negative ideal solutions, and evaluating the reservoir quality of the tight sandstone reservoir based on the reservoir quality model. According to the method, the problem that the tight sandstone reservoir is difficult to evaluate is effectively solved, and a tight sandstone reservoir quality evaluation technology is formed.

The present application provides a tempering furnace, method and controller for efficient and uniform heating, comprising: a workbench; a conveying roller, which is arranged on the workbench; a mechanical arm, which is used to place a glass sheet to be tempered on the conveying roller; a furnace body, which is arranged on the workbench via the conveying roller; a collection module, which is used to collect glass sheet parameters of the glass sheet; a controller, which is used to generate the number of tempered glass sheets according to the heating parameters, tempering time and glass sheet parameters of the furnace body, divide the furnace body into a plurality of heating zones according to the number of tempered glass sheets, generate a tempering temperature curve corresponding to each heating zone according to the zone position, heating parameters, tempering time and glass sheet parameters corresponding to each heating zone; control the mechanical arm to place the corresponding glass sheet according to the zone position, and control the conveying roller to move the plurality of glass sheets into the furnace body, and complete the tempering of the glass in each heating zone according to each tempering temperature curve.

The application discloses a navigation meteorological risk single-factor threshold definition method, device, medium and product, relates to the field of water navigation safety, and comprises the following steps: determining the number of accidents in the accident sample set and the number of occurrences or the time length of the corresponding meteorological condition in the background climate set of each meteorological factor in each interval based on a double-source adversarial data set; determining a risk enrichment factor and an accident severity weight of each meteorological factor in each interval; determining a relative risk rate curve of each meteorological factor according to the risk enrichment factor and the corresponding accident severity weight of each meteorological factor in each interval; determining the risk classification threshold corresponding to each meteorological factor based on the Jenks natural breakpoint method and the relative risk rate curve of each meteorological factor; and determining an independent risk classification table of each meteorological factor according to the risk classification threshold and the corresponding relative risk rate curve of each meteorological factor. The application can improve the accuracy of maritime accident risk assessment.