19results about How to "Avoid human interference" patented technology

The invention relates to the technical field of structure optimization, and discloses a collision resistance optimization method and system for a rail vehicle energy absorption structure, and the method comprises the steps: determining corresponding simulation parameters influencing energy absorption and a multi-dimensional collision mechanical response data set of the energy absorption structure; constructing a multi-dimensional collision response prediction model; defining a mode stability constraint based on a decoding result of the image feature extraction network, defining a load stability constraint based on a decoding result of the curve feature extraction network, and defining an index matching constraint based on an output result of the multi-dimensional collision response prediction model; based on the mode stability constraint, the load stability constraint and the index matching constraint, a multi-target crashworthiness optimization model of the energy absorption structure is constructed, and solving is carried out to obtain a Pareto solution set; solving an optimal feasible solution of the Pareto solution set, and taking the optimal feasible solution as a collision resistance optimization result of the target energy absorption structure; the method solves the problem that an existing crashworthiness performance optimization method is low in optimization result reliability.

According to the machine tool measuring device and the measuring method thereof, the measuring device comprises an external hanging type main body frame, a measuring probe, a driving mechanism and a protection mechanism, the driving mechanism is installed on the main body frame and used for driving the measuring probe to move, the protection mechanism is used for protecting the measuring probe, and the protection mechanism comprises a retractable door capable of being opened in a sliding mode. The measuring probe comprises a probe which can extend out of the telescopic door, the protection mechanism can effectively protect the measuring probe, a rodless cylinder is adopted as a power source of the driving mechanism, so that the structure is more compact, a probe rod is made of carbon fibers, the measuring device is lighter, and the driving mechanism can quickly drive the measuring probe to measure. The machining efficiency is improved, the overall time is shortened, and the machining rhythm is accelerated.

The invention belongs to the technical field of tea preparation, and particularly relates to a Duyun Maojian tea primary processing production line and a production process. Comprising a screening module, a fixation module, a rolling module, a shaping module and a fragrance extraction module, the modules are sequentially connected through a conveying device, and the conveying device can transfer tea leaves processed by the module in the module to the next module; compared with pure manual tea making and semi-manual and semi-mechanical tea making, interference of human factors is avoided, and the situation that connection between mechanical equipment and manual operation is not tight enough, the bottleneck effect on a production line is likely to be caused, and consequently the overall production efficiency is affected is avoided.

The invention belongs to the field of coastal salt marsh carbon sink monitoring, and particularly relates to a coastal salt marsh deposition rate automatic measuring device and method based on a marker pile method. The automatic measurement device comprises a marker pile, a beach face elevation automatic measurement function module and a beach face elevation automatic measurement control module. A horizontal reference platform is arranged at the top end of the marker pile; the beach face elevation automatic measurement function module comprises an electric rotating holder, an electric linear guide rail and a laser ranging module which are installed on the upper portion of the horizontal reference platform, one end of the electric linear guide rail is fixedly connected with the electric rotating holder, and the laser ranging module is fixedly connected with a sliding block on the electric linear guide rail; and the beach face elevation automatic measurement control module is used for controlling the rotation of the electric rotating holder and the sliding of the sliding block, so as to control the laser ranging module to reach a target reference point and measure the beach face elevation.

The invention discloses a novel automatic oil cylinder assembling device which comprises a base, a cylinder barrel clamping mechanism, a centering device, a piston rod position adjusting mechanism and a piston rod press-fitting mechanism. A high-precision guide rail is laid on the base, and all the mechanisms are installed on the guide rail through sliding blocks and can be movably locked. The centering device measures the positions of the inner wall of a cylinder barrel and the outer wall of a piston rod in a non-contact mode through two sets of high-precision laser sensors, a control system drives a servo electric cylinder to adjust the pose of the piston rod according to measured data, and full-automatic high-precision centering of the axes of the cylinder barrel and the piston rod is achieved. The piston rod press-fitting mechanism adopts an electric cylinder with a force measuring sensor, and real-time monitoring of press-fitting thrust is achieved. The problems that traditional assembly depends on manual work, the centering precision is low, and the quality consistency is poor are solved, and high precision, high efficiency and high reliability of oil cylinder assembly are achieved.

The utility model discloses a novel equipment for lens visual inspection, its technical scheme's main point is including frame, be equipped with carousel through five work position divider drive on the frame, be equipped with five work positions for placing lens on the carousel, be equipped with lens feeding and blanking device on the first work position, be equipped with first industrial camera and first highlight bowl shape light source for detecting lens lower part respectively on the second work position, be equipped with second industrial camera and second highlight bowl shape light source for detecting lens upper part respectively on the third work position, be equipped with third industrial camera, first line light source, first motor for detecting lens upper part respectively on the fourth work position, be equipped with fourth industrial camera, second line light source, second motor for detecting lens lower part respectively on the fifth work position, the industrial code reader for scanning the code to lens to mark whether to be the qualified product. Realized the full automation, high efficiency, high accuracy's multidimensional detection.

The utility model discloses an intelligent water hammer protection device, belongs to the technical field of water conservancy and hydropower engineering, and can solve the problems that the air supply is not timely and the air supply amount is difficult to determine because the air amount in the existing non-bag type air tank needs to be manually inspected. The device comprises: an air tank containing a liquid; the liquid level monitoring unit is arranged on the air tank and used for monitoring the liquid level of liquid in the air tank; the inflating and deflating unit is communicated with the top of the air tank and is used for inflating and deflating the air tank; the water supply unit is communicated with the bottom of the air tank and used for supplying water into the air tank; the water supply pressure of the water supply unit is constant; and the water hammer controller is connected with the liquid level monitoring unit and the inflating and deflating unit and is used for controlling the inflating and deflating unit to work according to the liquid level of the liquid in the air tank. The water hammer protection device is used for water hammer protection in water supply projects.

The embodiment of the application discloses an ecological health assessment and repair decision method and system based on multi-modal data, and the method comprises the following steps: acquiring ecological time series data, spatial distribution image data and gene sequence data of an ecological system by using a multi-modal data perception layer; analyzing, identifying and extracting the three types of data respectively by using a time series ecological evolution analysis network, a spatial salinization distribution identification network and a gene sequence feature extraction network of an intelligent analysis layer to obtain time series ecological evolution features, spatial salinization distribution features and gene ecological adaptability features; performing feature fusion based on the time series ecological evolution features, the spatial salinization distribution features and the gene ecological adaptability features by using a multi-modal fusion network of the intelligent analysis layer to obtain fusion features; and determining a groundwater layer recharge adjustment scheme, an ecological restoration strategy and an ecological health state assessment result based on the fusion features by using a multi-task decision output layer.

This invention belongs to the field of high-speed data testing technology and discloses a method and system for testing high-speed signal eye diagrams based on automated testing equipment. The method includes: dividing the high-speed signal configuration vector into a configuration segment and an action segment. The configuration segment is used for quickly configuring the test environment, and the action segment is used for controlling test actions. In the action segment, a virtual clock is constructed as a reference trigger signal, and the virtual clock is synchronized with the high-speed signal under test to the same sequence group. The synchronized high-speed signal under test is waveform captured to generate a two-dimensional array composed of sampling time and level value. The two-dimensional array is processed using a differential peak-valley segmentation method, and eye height, rise / fall time, and jitter are measured based on the processing results. Automated testing equipment enables automated control, measurement, and output of test data, facilitating data analysis and processing, improving testing efficiency, and avoiding human interference.

The present invention relates to the technical field of water seepage detection, and discloses a water seepage detection device for building walls, including a base, a limiting column connected to the upper end of the base, a rack slidably connected to the limiting column, a moisture meter rotatably connected to one side of the rack, a detection contact connected to one end of the moisture meter, a deflection claw for limiting the height of the rack connected to the upper end of the base, the upper end of the deflection claw abuts against the rack, a clip is connected to the base, a deflection shaft is connected between the clips, the deflection claw is rotatably connected to the deflection shaft, a deflection disk is connected to the lower end of the deflection claw, and a deflection spring is connected between the deflection disk and the clip. The present invention utilizes the rack to rise to a fixed length height under the action of a lifting gear, and can perform water seepage detection of different heights on the wall surface on the same vertical line on the building wall surface, the device automatically performs detection, no manual operation is required during the detection process, the problem of manual interference is avoided, and the detection accuracy is improved.

The present invention discloses a blockchain-based scientific and technological achievement authenticity verification and evaluation platform, which relates to the technical field of scientific and technological achievement management. The present invention comprises an upload module, a preliminary screening module, a verification module, an allocation module and a comprehensive evaluation module; the upload module is used to provide an interface and a variety of upload methods, optimize the upload interface to ensure stable and efficient upload of files of different sizes, and use a hash algorithm to compare the file hash value with a pre-stored standard value to judge the file integrity, thereby ensuring the accuracy and completeness of the uploaded file; the present invention ensures the authenticity and reliability of data through a variety of technical means, the upload module uses a hash algorithm to ensure the file integrity, the preliminary screening module uses natural language and image recognition technology to assist in judging the validity of materials, the verification module traces back and cross-verifies the data source based on the blockchain, and the synergistic effect of multiple links effectively avoids data problems, provides a solid foundation for subsequent evaluation, and enhances the credibility and accuracy of data.

The embodiment of the invention discloses an ecological health assessment and restoration decision-making method and system based on multi-modal data. The method comprises the following steps: acquiring ecological time sequence data, spatial distribution image data and gene sequence data of an ecological system by utilizing a multi-modal data sensing layer; respectively analyzing, identifying and extracting the three types of data through a time sequence ecological evolution analysis network, a spatial salinization distribution identification network and a gene sequence feature extraction network of the intelligent analysis layer to obtain time sequence ecological evolution features, spatial salinization distribution features and gene ecological adaptability features; performing feature fusion based on the time sequence ecological evolution features, the spatial salinization distribution features and the gene ecological adaptability features by using a multi-modal fusion network of the intelligent analysis layer to obtain fusion features; and a multi-task decision output layer is utilized to determine an underground water layer supplement amount adjustment scheme, an ecological restoration strategy and an ecological health state evaluation result based on the fusion features.

The present invention relates to the field of data processing technology, and discloses a data file archiving method and system. The method comprises the following steps: establishing a streaming data processing platform and configuring archiving information; scanning the data files to be archived on the streaming data processing platform and mapping them into corresponding data files, check files and ddl files, and adding the data file records to be archived in the database table; reading the database table in real time, and when a new data file record to be archived appears, reading the new data file to be archived and recording the corresponding archiving information; comparing the file name in the archiving information with the file name of the data file corresponding to the new data file record to be archived, if they are the same, archiving the data file corresponding to the new data file record to be archived and storing it in a storage medium, otherwise reporting an error. The present invention can realize the automation of the entire process of archiving historical data, avoiding the problems of long archiving time and data delay caused by human operation interference and large amount of data accumulation.

This invention discloses a method for calculating the carbon emission intensity and carbon emission amount of a pure condensing coal-fired power generation unit. It establishes a mathematical model to obtain a formula for calculating carbon emission intensity, calculates the as-received nitrogen and hydrogen content of coal using industrial analysis and calorific value data of coal from power plants, calculates the as-received carbon content of coal using empirical formulas, and calculates the standard coal carbon dioxide emission coefficient by combining data on the combustible content in ash. It obtains a relationship between the unit's power generation coal consumption and load rate by fitting coal consumption data under typical operating conditions. It calculates the power generation coal consumption for each statistical period based on the load rate, and combines this with the carbon dioxide emission coefficient to obtain the carbon emission intensity and carbon emission amount for each statistical period, thereby obtaining the cumulative carbon emission amount E. This invention does not require elemental analysis of the coal, uses readily available basic power plant monitoring data, is highly practical, and can promptly obtain carbon emission intensity and carbon emission amount for each statistical period. The data is accurate and timely, greatly facilitating carbon reduction management.

The present disclosure relates to a dynamic evaluation method and device for the peak regulation and frequency modulation response capability of a battery swap station based on two-dimensional analysis. The method comprises: constructing a multi-working condition evaluation index system for the peak regulation and frequency modulation response capability of the battery swap station, setting evaluation grades and score thresholds according to the grid operation working condition; using a subjective and objective fusion weight distribution method to calculate the comprehensive weights of static dimension indexes and dynamic dimension indexes respectively, and fusing by the product normalization method; calculating the closeness score of the static dimension of the battery swap station; constructing a dynamic response capability evaluation model based on the grey correlation degree method to calculate the grey correlation degree score of the dynamic dimension of the battery swap station; weighting and fusing the static score and the dynamic score to obtain the comprehensive score of the peak regulation and frequency modulation response capability of the battery swap station, and judging whether it meets the standard and participates in the priority according to the preset threshold. The present disclosure constructs a benchmark sequence consistent with the grid dispatching rules for different evaluation working conditions of the dynamic dimension, and improves the accuracy of the grey correlation degree method in the dynamic dimension evaluation.

The invention discloses a vision detection method and system, and belongs to the technical field of eye biological measurement equipment, and the method comprises the steps: obtaining a real-time eye image of a vision detector through an image collection device; identifying a category corresponding to the real-time eye image based on a classification model; if the identified category is not the target category, performing displacement adjustment on the vision detection device based on the identified category; and repeating the steps until the identified category is the target category, and performing vision detection on the eyes of the vision detector based on the adjusted vision detection device. And if the identified category is the target category, performing vision detection on the eyes of the vision detector by using a vision detection device. According to the vision detection method and system, the automation degree, the measurement precision, the safety and the reliability of vision detection are improved, the complexity and the time consumption of automatic adjustment and the interference of eyelids, eyelashes and the like are greatly reduced, and the precision and the speed of focusing adjustment are improved.

The present invention provides an EEG phase determination method, device, equipment, storage medium and program product, which are applied to the field of EEG signal processing technology. The method includes: collecting EEG data through an EEG signal amplifier, the number of channels of the EEG data is N; performing preprocessing operations on the EEG data to obtain preprocessed EEG signals, the number of channels of the preprocessed EEG signals is M; calculating the phase of the preprocessed EEG signals to obtain EEG phase information at each moment; constructing and training a phase prediction model based on the preprocessed EEG signals and the EEG phase information; wherein the phase prediction model includes multiple signal processing branches, and the multiple signal processing branches are used to capture the linear characteristics and nonlinear characteristics of EEG signals of different frequencies; the phase prediction model is used to predict real-time EEG phase information, M and N are integers greater than 0, and M is less than or equal to N.

The invention belongs to the technical field of greenhouse crop water and fertilizer management and green efficient sustainable production, and particularly relates to a greenhouse tomato yield and quality grading evaluation water and fertilizer management method, which is characterized by sequentially comprising the steps of data collection, weight determination, sorting, grading and optimal mode determination, weight determination adopts an integrated entropy weight method, sorting adopts a TOPSIS model, and the optimal mode determination adopts a TOPSIS model. And an AISM model is adopted in a grading manner, and finally an EWM-TOPSIS-AISM comprehensive evaluation model is constructed. The method has the advantages that an EWM-TOPSIS-AISM comprehensive evaluation model is constructed on the basis of field experiments, water and nitrogen management of greenhouse drip irrigation tomatoes in the northeast region is optimized on the basis of multiple targets, an optimal water and nitrogen supply mode is established, and a theoretical basis and technical support are provided for formulating a precise drip irrigation and fertilization strategy for greenhouse tomatoes in the northeast region; (2) the EWM-TOPSIS-AISM comprehensive evaluation model has the advantage that the problems of subjectivity and inconsistent results of a single model are effectively solved through a combined evaluation method, and (3) the evaluation result is stable and reliable through bidirectional verification of UP type and DOWN type topological hierarchy directed graphs.