32 results about "Engineering controls" patented technology

The invention relates to the technical field of engineering control, in particular to a hoisting control method of a safe and portable hoisting cage, which comprises a hoisting pre-stage, data pre-acquisition and analysis before hoisting, a hoisting control stage and hoisting landing control. In the prior art, position closed-loop control mainly depends on a stroke encoder and a position sensor, dynamic swing deviation caused by wind disturbance is difficult to accurately pre-judge and counteract in real time, and the defects of control lag and insufficient response exist. According to the scheme, the motion trail and posture of the cage are predicted in advance based on simple pendulum dynamic model numerical solution and the Runge-Kutta method, high-precision deviation detection is carried out in combination with a virtual-real vision calibration technology and AR enhanced display, a cage motion state control model based on feedforward prediction is established, trail prediction errors are greatly compressed, and the accuracy of the motion state of the cage is improved. The forward-looking inhibition of the movement of the cage, especially wind-induced swinging, is realized, and the accuracy and the response speed of an active swinging inhibition measure are obviously improved.

The invention discloses an engineering cost control method and device based on deep learning. The method comprises the steps of obtaining historical cost data, current construction progress data and engineering budget data of an engineering project; based on the historical cost data, the current construction progress data and the project budget data, constructing a multi-dimensional state representation containing an accumulated cost deviation, a progress deviation and a budget constraint, and obtaining a current project cost control state vector; inputting the current engineering cost control state vector into a trained deep learning network, and outputting engineering regulation and control parameters; according to the engineering regulation and control parameters, the resource input amount and the construction rhythm of the engineering project are jointly adjusted, and a construction adjustment plan is generated; and determining a current cost control execution scheme of the engineering project based on the construction adjustment plan. According to the invention, the accuracy of engineering cost regulation and control can be effectively improved.

The invention relates to the technical field of engineering safety monitoring and intelligent construction management, in particular to a slope deformation automatic identification and risk early warning system and method in the earthwork construction process, and the method comprises the following steps: collecting slope image data and sensor monitoring data, and carrying out the time synchronization processing of the data; extracting deformation characteristics of the slope surface, and generating a risk assessment index threshold in combination with historical data; performing feature analysis on the synchronized monitoring data on a short-term and long-term dual-time scale, and extracting a deformation rate and an accumulated trend index; setting a scene gating factor; calculating a comprehensive risk score; eliminating short-time interference influence; and judging the risk level, and executing early warning response of the corresponding level in a linkage manner, including sound-light alarm and engineering control measures. According to the method, the problems of space-time non-uniformity and insufficient continuity of the sensing layer, insufficient evolution description of the cognitive layer and weak closed loop and edge-cloud collaboration of the execution layer are solved.

The application provides a kind of automatic stacker-reclaimer method and system thereof, relating to engineering control technical field, including obtaining multi-period, multi-angle stockpile environment information;After pre-processing the stockpile environment information, static geometric features and dynamic change features are extracted through the processed stockpile environment information to construct a dynamic three-dimensional model;Feature extraction is performed on the real-time mining data of the dynamic three-dimensional model, and a change law prediction model is constructed through BP neural network;Based on the adaptive ant algorithm and the change law prediction model, the dynamic three-dimensional model is planned for material taking path, the running angle of the stacker-reclaimer is adjusted in combination with the material taking motion constraint to obtain the walking path;Automatic simulation of material taking is carried out according to the walking path, and the automatic stacking and taking scheme is obtained by comparing and analyzing the simulation results and the preset performance indicators. The problem that the stacker-reclaimer is difficult to recognize and effectively grab the material according to the accurate path, causing part of the material to be missed or the material to be taken at all is solved.

The invention provides an automatic material piling and taking method and system of a material piling and taking machine, and relates to the technical field of engineering control, and the method comprises the following steps: obtaining multi-period and multi-angle material pile environment information; after the material pile environment information is preprocessed, static geometric features and dynamic change features are extracted through the processed material pile environment information, and a dynamic three-dimensional model is constructed; performing feature extraction on the real-time mining data of the dynamic three-dimensional model, and constructing a change rule prediction model through a BP neural network; carrying out material taking path planning on the dynamic three-dimensional model based on a self-adaptive ant algorithm and a change rule prediction model, and adjusting the operation angle of a material taking machine in combination with material taking motion constraint to obtain a walking path; and carrying out automatic material taking simulation according to the walking path, and carrying out comparative analysis on a simulation result and a preset performance index to obtain an automatic material stacking and taking scheme. The problem that part of materials are missed or cannot be taken at all due to the fact that the stacker-reclaimer is difficult to recognize and effectively grab the materials according to an accurate path is solved.

The application discloses a time-varying state constraint terminal sliding mode tracking control method based on an adaptive network, and relates to the technical field of adaptive control.The method comprises the following steps: step 1, constructing a constraint potential energy error for each actual state of an engineering controlled object; step 2, constructing a fixed rational exponential composite sliding mode variable; all the sliding mode variables of all the actual states of the engineering controlled object form an integral sliding mode surface in a vector layer; step 3, using a single hidden layer radial basis network to perform online approximation on the actual dynamics of the engineering controlled object, introducing the network output as a dynamic compensation item into a control input, so as to ensure that the integral sliding mode surface is driven to zero in a limited time and real-time compensation of the actual state of the engineering controlled object is simultaneously completed. The application realizes limited-time high-precision tracking control of a controlled engineering controlled object with unknown nonlinear and double-sided time-varying boundaries.

A spline-type horizontal directional drilling engineering control device includes a casing. An adjustment component is provided on the inner wall of the casing. A first hole is opened at the middle position of the adjustment component, and a transmission pipe is provided on the inner wall of the first hole for collecting the collected soil. A guiding component is assembled at one end of the adjustment component for adjusting the angle of the exploration device inside the casing. At the same time, a drilling device is installed at the top of the guiding component. When it is necessary to adjust the angle of the drilling device, the adjustment component and the guiding component are rotated, so as to adjust the angle of one end of the drilling device, and then adjust the drilling angle. This device can truly reflect the geological conditions along the underground line, and at the same time avoid the long-distance relocation of the equipment in complex terrain conditions. It can obtain a large amount of effective information with fewer drilling entry points and shorter drilling trajectories.

The application provides a plane engineering control network layout method, and relates to the technical field of engineering surveying, and comprises the following steps: determining a first layout target of a target layout area according to engineering project requirements and a plane engineering control basic network; inputting the first layout target and project parameters of a target engineering project into preset layout simulation software, so as to obtain an initial layout scheme; obtaining real-time area parameters of the target layout area, and adjusting the initial layout scheme based on the real-time area parameters, so as to obtain an optimized layout scheme; performing real-time layout of the plane engineering control network based on the optimized layout scheme, and monitoring the layout result in real time, so as to timely perform layout adjustment. Through the use of modern measurement technology and simulation technology, the fast layout of the control network can be realized, and more precise control of the control network can be realized.

FC style connectors do not afford a secondary engineering control that would prevent the removal of the connector. Exemplary locks include a first lock portion; and a second lock portion. The first and second lock portions are configured to fit over a fiber connector, and wherein the first and second lock portions are selectably rigidly fixable to each other. Exemplary embodiments allow for the locking of potentially hazardous, or critical systems, to prevent inadvertent disconnection.

This invention discloses a method, device, and computer storage medium for predicting and actively controlling the deformation of support structures based on computational learning. It relates to the fields of geotechnical engineering and underground structure safety control technology. This method, based on the theory of support structure displacement calculation and combined with a theoretical calculation model, achieves accurate prediction of the horizontal displacement of the support structure, completes structural displacement calculation and dangerous area identification, and outputs deformation curves and potential risk locations. It employs a Bayesian optimization framework for automatic parameter optimization, initializes the prior distribution and sets the objective function, uses Gaussian process modeling to iteratively calculate the acquisition function, and uses a surrogate model to quickly predict performance to update the model. Finally, it outputs the optimal parameter combination to guide construction, realizing an intelligent closed-loop design from theoretical calculation to engineering control, and solving the problems of insufficient deformation prediction accuracy and lagging risk control in complex strata.

The embodiment of the invention belongs to the technical field of engineering control, and particularly relates to a converter oxygen lance lifting control method and system.The control method comprises the following steps that in response to the received oxygen lance target height, the stop interval and the deceleration interval of an oxygen lance are calculated based on the target height; the current height of the oxygen lance is obtained, the current height is compared with the stop interval and the deceleration interval, and the lifting direction and the running speed of the oxygen lance are determined according to the comparison result; when the current height of the oxygen lance is out of the stop interval, the oxygen lance is controlled to move in the target height direction; when the current height of the oxygen lance is in the deceleration interval, the oxygen lance is controlled to be switched to a low-speed state; and when the current height of the oxygen lance is in the stop interval, controlling the oxygen lance to brake and stop. The optimal manual operation experience is simulated by setting three logic sections including a high-speed section, a deceleration section and a stop section; high-speed operation is performed in a safe area to ensure the efficiency; decelerating in advance near the target to overcome inertia; and finally, precisely parking in the precise braking area.

This invention relates to the field of engineering control, specifically disclosing an intelligent bucket wheel material handling system, comprising: a bucket wheel mechanism and a conveying mechanism; further comprising: a cleaning mechanism for cleaning impurities from the coal to be handled; a control module for acquiring an image of the coal to be handled and setting the gear speed of the cleaning mechanism based on a semantic segmentation algorithm combined with the coal image; a correction module for correcting the gear speed; a frequency setting module for acquiring the current temperature of the coal to be handled and setting the opening and closing frequency of the cleaning mechanism according to the current temperature; and a conveying mechanism detection module for detecting abnormalities in the conveying mechanism and adjusting the opening and closing frequency of the cleaning mechanism according to the frequency of occurrence of the abnormalities. This invention, by adding a cleaning mechanism, prevents impurities in the coal from affecting the material handling machine; by controlling the cleaning mechanism, it prevents dust pollution, saves energy and protects the environment, and improves the safety of the system.

The application relates to the technical field of water conservancy engineering control, and discloses a hoist opening degree stroke data processing method and system, which comprises the following steps: continuously acquiring two groups of real-time data of motor load and valve displacement during valve closing; when the motor load data first shows a continuous and background noise-exceeding lifting, marking the moment as an initial contact point; starting from the initial contact point, recording the two groups of real-time data of motor load and valve displacement at a preset sampling frequency, and calculating a resistance change rate = delta load / delta displacement; comparing the resistance change rate with a preset collision threshold to control hoisting and closing; the motor load and valve displacement data are monitored in real time, the resistance change rate is calculated, the contact point of the valve and a water seal or foreign matter is accurately identified during valve closing, the change trend of the resistance change rate is used to effectively distinguish flexible compression and rigid collision, misjudgment is avoided, and the safety and reliability of hoist operation are improved.

This invention discloses a method for determining the direction of the maximum horizontal principal stress based on borehole formation rate, relating to the field of mining engineering technology. The method includes: constructing a set of pressure-relief boreholes of the same diameter and target depth along a horizontal plane at a preset azimuth angle within the area to be measured; recording the actual drilling depth of each pressure-relief borehole based on its construction; calculating the formation rate of each pressure-relief borehole based on the actual drilling depth and target depth; and determining the direction of the maximum horizontal principal stress based on the distribution law of the formation rate. This invention clarifies the correlation between "drilling direction - formation rate - direction of the maximum horizontal principal stress," transforming common borehole formation obstacles in engineering into an effective way to acquire geological information. It achieves low-cost and high-efficiency acquisition of key geostress direction information without the need for additional specialized equipment and complex testing processes, providing a highly practical solution for rapid assessment and targeted engineering control of the geostress field in coal mines.

The application provides an intelligent design evaluation method for prefabricated components of an assembled underground structure, comprising: obtaining engineering control parameters and variable parameters of prefabricated components; performing intelligent design based on the parameters to generate a plurality of design schemes; obtaining bearing capacity evaluation results and materialization stage engineering data of each scheme; calculating carbon emissions according to the materialization data; comprehensively deciding, in combination with the bearing capacity and the carbon emissions, to obtain a comprehensive index decision index of each scheme; and performing scheme evaluation based on the index set to finally select a target prefabricated component scheme. The intelligent design evaluation method for prefabricated components of an assembled underground structure provided by the application combines the bearing capacity of prefabricated components with materialized carbon emissions to perform intelligent design evaluation, thereby providing an optimized scheme for the assembled underground structure, which has structural safety and environmental friendliness, and improving the scientificity and comprehensiveness of prefabricated component design.

The invention relates to the technical field of engineering control, and provides a test system and a control method applying a proximity engineering-stratum-underground structure system, and the system comprises a numerical subsystem which is used for determining predicted displacement data according to a load increment; the agent subsystem is used for performing numerical analysis by taking the predicted displacement data as a boundary displacement load to obtain predicted force; the physical subsystem is used for acquiring feedback displacement data corresponding to the predicted force; the agent subsystem is also used for performing parameter inversion based on the feedback displacement data and the predictive force to obtain high-fidelity physical parameters and determine the feedback force; and the numerical subsystem is also used for determining unbalanced force data according to the predicted force and the feedback force, so that the numerical subsystem is changed into an unbalanced state to drive multiple rounds of iteration of the hybrid test until the unbalanced force data is lower than the tolerance. The system provided by the invention can ensure that the physical subsystem directly participates in each iterative calculation process of the numerical subsystem, and improves the accuracy of a mixing test.

The present invention provides a method, device, equipment and medium for obtaining engineering control points along a line, which relates to the technical field of railway engineering. The method includes: performing image processing on the image features of a parallel branch to obtain a feature map of the parallel branch; based on a decoder, performing feature extraction and fusion on the feature map of the parallel branch to obtain multi-scale features of the image; according to a preset network deep supervision method, performing feature extraction on the image features of the parallel branch and the multi-scale features of the image to obtain a ground object model along the line; based on a preset loss function and the preset network deep supervision method, performing optimization solution on the ground object model along the line to obtain an optimal ground object model along the line; and according to a preset overlay analysis method, solving the optimal ground object model along the line to obtain the control points of the project along the line. The present invention solves the problems that some important control elements are easily missed by designers during the processing of survey data, and the extraction efficiency of control point data is low, etc.

This invention discloses an adaptive adjustment method and system for foundation pit support strength based on real-time monitoring data, relating to the field of engineering control technology. The method includes the following steps: real-time acquisition of monitoring data of the foundation pit support structure; preprocessing the monitoring data to obtain standardized time series data; inputting the standardized time series data into a pre-trained LSTM prediction model to output a displacement prediction value sequence; calculating the predicted state index based on the displacement prediction value sequence; constructing a multi-objective optimization model with the objectives of minimizing the maximum predicted state index and minimizing the total cost of support strength adjustment, and solving for the optimal prestress adjustment amount of each intelligent support actuator; converting the optimal prestress adjustment amount into control commands to drive the corresponding intelligent support actuator to perform actions. This invention can automatically and accurately adjust the foundation pit support strength based on real-time monitoring data.

According to the dustproof cooling method for the engineering control computer, dust invasion is blocked by combining a sealed cavity design with a multi-stage dustproof mechanism, efficient heat export is realized by adopting a composite cooling module, and the problems of insufficient heat dissipation and dust accumulation of the engineering control computer in an industrial field high-temperature dusty environment are solved. The system comprises a sealing protection module, a composite cooling module, an airflow circulation module, a monitoring control module and an auxiliary drying module, all the modules work cooperatively, precise temperature control is achieved while complete dust prevention is guaranteed, the service life of core components of an engineering control computer is prolonged, and the operation stability of equipment is improved.

The application provides a bucket wheel machine material taking method, device, equipment and medium based on image processing, relates to the field of engineering control technology, and comprises the following steps: constructing stereoscopic vision of images in material pile image information according to a deep learning network to obtain a material pile three-dimensional model; constructing a dynamic environment model based on the material pile three-dimensional model and material pile dynamic change parameters, planning a trajectory of an initial position of the bucket wheel machine through reinforcement learning technology to obtain a walking trajectory of the bucket wheel machine; predicting a motion state according to the walking trajectory of the bucket wheel machine, segmented information in the material pile image information and layering height in the material pile three-dimensional model to obtain a slewing trajectory of the bucket wheel machine around a cantilever; and constructing the walking trajectory of the bucket wheel and the slewing trajectory of the bucket wheel machine, combining with the evaluation and optimization of historical material taking data, material type characteristics and material pile stability to obtain a material taking scheme. The application solves the problems of low material taking efficiency, missed or ineffective material taking of part of the material piles.

The invention relates to the technical field of press machines, in particular to a safety detection method, a medium, equipment and a safety detection system of a press machine. The safety detection system aims at solving the problem that safety measures of an existing safety detection system of the press machine are low in effectiveness. In order to achieve the purpose, the safety detection method comprises the steps that in response to a starting signal of the press machine, visual information and human body sensing information are obtained; based on the visual information and the human body sensing information, whether a human body exists in the working area of the press is judged; and based on the two judgment results, selectively controlling the press machine to keep still or carry out pressing operation. In this way, when the press machine is started, whether the human body exists in the working area of the press machine or not can be judged in advance, and therefore safety risks are avoided. Moreover, according to the method, the safety protection level of the press machine is improved from administrative control to engineering control, the effectiveness of safety measures is improved, and safety risks caused by management defects are eliminated.

The invention provides an opening and cleaning engineering control system for a papermaking felt. The system comprises a data acquisition module, a communication module, an execution module and a central control module, the data acquisition module is used for acquiring the state of a fiber raw material, and the state of the fiber raw material comprises the humidity of the fiber raw material, the density of the fiber raw material and the impurity content of the fiber raw material; the communication module is used for communication between the data acquisition module and the control module; the control module is used for adjusting the roller speed, the interval, the cylinder rotating speed and the angle according to the calculation data of the fiber raw materials; the execution module is used for adjusting the roller speed, the interval, the cylinder rotating speed and the angle according to calculation data of the control module, the optimal control input sequence in a period of time in the future can be predicted through the system, and control input is adjusted in real time so as to adapt to changing process conditions and real-time product requirements.

The invention provides an intelligent design evaluation method for prefabricated parts of an assembled underground structure. The method comprises the following steps: acquiring engineering control parameters and variable parameters of the prefabricated parts; performing intelligent design based on the parameters, and generating a plurality of design schemes; obtaining a bearing capacity evaluation result and materialization stage engineering data of each scheme; measuring and calculating the carbon emission according to the physicochemical data; carrying out comprehensive decision making in combination with the bearing capacity and the carbon emission to obtain a comprehensive index decision index of each scheme; and carrying out scheme evaluation based on the index set, and finally selecting a target prefabricated part scheme. According to the intelligent design evaluation method for the prefabricated parts of the assembly type underground structure, intelligent design evaluation is carried out by combining the bearing capacity of the prefabricated parts with physical and chemical carbon emission, an optimization scheme with structural safety and environmental friendliness is provided for the assembly type underground structure, and the method is suitable for popularization and application. And the scientificity and the comprehensiveness of the design of the prefabricated part are improved.

The invention discloses a difficulty self-adaptive adjustment method and system for simulated practical operation of a bolter miner, which are used in the technical field of mechanical engineering control, and the method comprises the following steps: constructing a practical operation simulation model, and converting post standard operation and safety regulations into an index set; organizing the trainees to carry out a practical operation examination test under a standard working condition, and calculating a multi-dimensional ability matrix of the trainees for personalized training and evaluation; continuously collecting operation and state data in the process of executing the training task by the practical operation simulation model, and generating a staged evaluation report for the current training task based on the index set; and in combination with analysis of the whole-process operation sequence and the state data set, identifying operation behavior characteristics of the trainee, updating the multi-dimensional capability matrix, and generating difficulty and parameter configuration of a next-stage training task. The method ensures that the training process is adaptively adjusted according to the actual performance of the trainee, and achieves a personalized and efficient training effect.

The invention discloses a method for selecting a tunneling parameter control range of a shield tunneling machine based on normal distribution characteristics, and relates to the technical field of shield tunneling machines. 2) analyzing data distribution characteristics of shield tunneling parameters; 3) calculating an expected value and a variance of the data; 4) calculating a recommended data interval boundary value based on a normal distribution function; and 5) optimizing the tunneling parameter data recommendation interval in real time. A calculation method for a reasonable interval of shield tunneling parameters is provided, so that the selection of the shield parameters is based on the basis; the method is clear and simple in thought, reasonable in theoretical basis and easy to understand; the influence of human subjective factors on the selection and regulation of the shield tunneling parameters is reduced, so that a unified reference standard is provided for the selection of the shield tunneling parameters; meanwhile, various engineering control risks of shield construction are considered; in addition, the method can flexibly adjust the recommendation interval according to the requirements of construction risk prevention and control.

The present invention relates to the field of engineering control technology, and in particular to a hoisting control method for a safe and portable hoisting cage, comprising a pre-hoisting stage, pre-hoisting data collection and analysis, a hoisting control stage, and hoisting landing control. Compared with the prior art, the present invention mainly relies on travel encoders and position sensors for position closed-loop control, which makes it difficult to accurately predict and offset the dynamic swing deviation caused by wind disturbance in real time, and has the disadvantages of control lag and insufficient response. The present scheme is based on the numerical solution of the single pendulum dynamics model and the Runge-Kutta method to predict the motion trajectory and posture of the cage in advance, and combines virtual-reality visual calibration technology and AR enhanced display for high-precision deviation detection, establishes a cage motion state control model based on feedforward prediction, greatly compresses the trajectory prediction error, realizes forward-looking suppression of cage motion, especially wind-induced swaying, and significantly improves the accuracy and response speed of active sway suppression measures.

The application relates to the technical field of engineering control, and provides a test system and a control method applied to a near engineering-stratum-underground structure system, the system comprising: a numerical subsystem, which is used for determining predicted displacement data according to a load increment; an agent subsystem, which is used for carrying out numerical analysis to obtain predicted force by taking the predicted displacement data as boundary displacement load; a physical subsystem, which is used for obtaining feedback displacement data corresponding to the predicted force; the agent subsystem is further used for carrying out parameter inversion based on the feedback displacement data and the predicted force, obtaining high-fidelity physical parameters, and determining feedback force; and the numerical subsystem is further used for determining unbalanced force data according to the predicted force and the feedback force, so that the numerical subsystem becomes unbalanced, and the multiple rounds of iteration of the hybrid test are driven until the unbalanced force data is lower than a tolerance. The system can guarantee that the physical subsystem directly participates in each iteration calculation process of the numerical subsystem, and the accuracy of the hybrid test is improved.

This invention relates to the field of engineering management technology, specifically to a system for modifying engineering project contracts. The system includes: a prior information input module for acquiring prior engineering contracts and prior project progress information, and generating a project forecast progress based on the prior engineering contracts and prior project progress information to determine whether the engineering contract needs to be modified; an engineering contract modification module for acquiring the contract modification content; a sub-project re-division module for re-dividing sub-projects based on the prior engineering contracts and the contract modification content and associating relevant information; and a contract modification module for submitting the modified contract to replace the original engineering contract, and performing project acceptance and assessment according to the nodes of the modified contract. This invention enables corresponding adjustments to engineering control based on revised contract content, achieves real-time data updates and information sharing through a computer system, and improves the efficiency and accuracy of contract modification.

This invention discloses a method, apparatus, and storage medium for screening gas-sensitive materials for transformers, belonging to the technical field of power equipment condition monitoring and gas sensing material design. The method includes: acquiring raw feature data of candidate gas-sensitive materials to be screened; extracting corresponding feature values ​​from the raw feature data according to a pre-determined feature subset, wherein the feature subset is obtained based on feature contribution analysis using a pre-built global prediction model; inputting the extracted feature values ​​into a pre-trained engineering sub-model, and obtaining a comprehensive score for the candidate materials by combining engineering rule constraints; classifying the candidate materials into engineering levels based on the comprehensive score, and outputting a list of materials that meet engineering admission criteria. This invention achieves engineering control of the material exploration process, improving the reliability and engineering applicability of the material screening process.

The invention provides a whole-course closed preparation system and method for high-activity medicine solid tablets, and the system comprises a material inlet module, an auxiliary material weighing module, an API weighing module, a mixed material screening module, a tabletting processing module and a coating processing module, according to the high-activity medicine solid preparation system and method, through the integrated design of modular isolation, whole-process sealing and one-way flow, a three-dimensional defense system capable of guaranteeing personnel safety and medicine quality at the same time is constructed; aPI operation with the highest risk is placed in a negative pressure isolator to achieve absolute separation of people and medicine, negative pressure protection equipment is arranged at all dust production points to form an active dust control network, and the occupational exposure risk is fundamentally eradicated through engineering control; according to the system, physical isolation and one-way transfer among different active materials are strictly realized through the independent purification inlet, the independent weighing module and a closed material flow penetrating through the process, cross contamination is effectively prevented, and the uniformity of the product content is ensured by virtue of closed transfer and accurate weighing.