42 results about "Force analysis" patented technology

The invention discloses a method and system for space-time evaluation and restoring force early warning of a regional ecological hydrological function, and belongs to the technical field of ecological hydrology and environment monitoring and management, and the method comprises the steps: obtaining a multi-source index capable of sustainably diagnosing the ecological hydrological function; performing standardization processing on the multi-source indexes by adopting a global space-time threshold method; performing comprehensive evaluation on the standardized index data by adopting a combined weighting method and a nonlinear comprehensive model to obtain a comprehensive index; based on the comprehensive index or the multi-source index, dynamic early warning of the regional ecological hydrological function stability is carried out by adopting a critical moderation theory; and performing spatial clustering according to the comprehensive index, and performing driving force attribution analysis on the functional evolution of each clustering region to generate a spatial differentiated collaborative recovery path. The method solves the problems that a traditional evaluation method neglects quality, lacks space-time comparability and cannot carry out dynamic early warning and precise countermeasure, and has the remarkable advantages of being more scientific in evaluation, more reliable in result, and capable of carrying out early warning and countermeasure.

A three-dimensional ice accretion reconstruction method and apparatus for a fan blade, and a device and a storage medium. The method comprises: using a cross-sectioning method to cut a fan blade, so as to obtain two-dimensional airfoil-section coordinate data of each position; performing airflow field calculation on each two-dimensional airfoil section, so as to obtain an external airflow velocity of each two-dimensional airfoil section; performing force analysis on water droplets, calculating impingement positions of the water droplets on each two-dimensional airfoil section, and then calculating a local water droplet impingement coefficient and a freeze fraction; on the basis of the local water droplet impingement coefficient, the freeze fraction and environmental parameters, acquiring the thickness of an ice accretion on each two-dimensional airfoil section and an ice accretion shape on each two-dimensional airfoil section; on the basis of the thicknesses of the ice accretions, updating the two-dimensional airfoil-section coordinate data; performing ice accretion calculation at the next time step until a preset condition is met; and performing lofting processing on each two-dimensional airfoil section, so as to obtain a three-dimensional ice accretion shape result of the fan blade. The increased thicknesses and shape of ice accretions of a fan blade under different working conditions are quickly obtained with a small amount of calculation.

The invention relates to the technical field of crane control, in particular to an unmanned crane control method and system, which comprises the following steps: acquiring a running space, establishing a basic simulation space through simulation, acquiring a real-time space image, establishing an execution state space, and marking a starting point and an ending point to determine a track space; a dangerous object is identified, a safety space signal is determined, and after the safety space signal is detected, the gravity center of a transported object is obtained, a grabbing point is set, the transported object is hoisted, stress analysis is conducted, longitudinal inertia force is set, tipping and anti-tipping moments are calculated, and a deviation angle is adjusted to obtain a normal operation signal; and finally, carrying out stress analysis again according to the deviation angle, setting a transverse inertia force to calculate a horizontal direction moment, determining an acceleration critical value and setting a real-time operation acceleration. According to the method, shutdown is reduced through unmanned control, parameters are optimized, efficiency is improved, the method is adaptive to multiple scenes and multiple models, and technology upgrading is promoted.

The application discloses a portrait inspection and identification method based on gait cycle decomposition and multi-phase force analysis, and comprises the following steps: extracting the skeleton key points of a target object in a target object image set in a comparison video and the confidence score of each skeleton key point; extracting the features of the target object in the target object image set according to the skeleton key points of the target object, and obtaining the target object features, wherein the target object features comprise basic features, gait cycle features, gait stage features and gait parameter features; integrating the basic features, the gait cycle features and the gait stage features to obtain comprehensive features; respectively calculating the similarity of the target object features and the comprehensive features in the comparison video to obtain similarity calculation results and overall similarity calculation results; and obtaining the identity identification result of the target object according to the similarity calculation results and the overall similarity calculation results.

The application discloses a bearing capacity calculation method and device of a pile structure with a bearing platform and a storage medium, and solves the problem that the design method is relatively complex and the calculation result is not accurate in the prior art. The calculation method comprises the following steps: obtaining size parameters and adjacent soil parameters of a bearing pile, a bearing platform and a foundation pile in the pile structure with the bearing platform; inputting the size parameters and the adjacent soil parameters into a bearing capacity calculation model to obtain bearing capacity data output by the bearing capacity calculation model; and the bearing capacity data at least comprises: a pushing force of a rear soil body on the bearing pile, a counterforce of the bearing platform, an eccentricity of the counterforce of the bearing platform, a stress of the counterforce of the bearing platform and an axial pressure at a bottom end of the bearing pile, which are obtained by solving a soil pressure analysis model based on the bearing pile; and a positive section bending moment of the bearing platform, a downward punching shear damage of the bearing pile on the bearing platform and an upward punching shear damage of a rear row of foundation piles on the bearing platform, which are obtained by solving an asymmetric force analysis model based on the bearing platform.

This invention discloses a high-precision fatigue analysis method for spring arms, comprising the following steps: S1: Preprocessing the model using mesh preprocessing software and calculating the stress distribution of the part under fatigue conditions using finite element analysis; S2: Analyzing the fatigue life using fatigue analysis software; S3: Comparing the fatigue results obtained through experiments with the analyzed values. The method closely approximates actual experiments in simulating the constraints and loads on the spring arm's motion, resulting in better convergence of the force analysis. It addresses the accuracy issues caused by the complex forces at the spring points of the spring arm, and the analysis results show high consistency with actual experimental verification. This allows for early risk identification in the design phase, improving development efficiency and reducing development costs. It features high versatility and accurate calculation results.

The present application relates to a kind of large-span steel truss beam cable-stayed bridge closure intelligent control system and method, adopt beidou positioning instrument, wireless tiltmeter and IMU sensor etc. and form closure intelligent control system, reduce the difficulty of construction survey, improve the measurement efficiency.The data obtained by the automatic monitoring system are analyzed to analyze the closure mouth state and control the force analysis of construction adjustment, the closure mouth state is adjusted using full-automatic hydraulic jack, and the large-span steel truss beam cable-stayed bridge is closed in the middle of the span by combining fine adjustment measures.The method helps to reduce the waiting operation time of large cantilever construction, solves the problems of low construction efficiency, different synchronization of closure adjustment measures, and realizes the accurate closure of large-span steel truss beam cable-stayed bridge.

This invention relates to the field of debugging and testing technology for airborne equipment, specifically a method for locating potentiometer adjustment holes based on a force feedback rectangular search strategy. The method includes the following steps: S1, hole error analysis; S2, force analysis; S3, hole-finding strategy design; S4, specific hole-finding process. This invention provides a method for locating potentiometer adjustment holes based on a force feedback rectangular search strategy. Compared with existing technologies, without increasing hardware investment or significantly increasing system computation, it improves the hole-finding accuracy from 80.8% to 98.3%, enhancing the overall efficiency of the automatic debugging system. Furthermore, during the hole-finding process, the contact force between the screwdriver and the potentiometer adjustment knob panel is always kept within a set safety threshold range, preventing damage to the potentiometer.

This invention discloses a magnetic levitation control method based on regularized data-driven strategy optimization. First, force analysis is performed on the smallest levitation unit of the maglev train to establish nonlinear dynamic equations. Then, input and output data of this unit are collected at time intervals {0,1,…,k}, and a sample covariance matrix is ​​constructed based on the data. The dynamic equations of the levitation system are rewritten through covariance parameterization. Subsequently, a regularization term is introduced into the LQR cost function to construct a direct data-driven LQR optimization problem with regularization constraints. Finally, the strategy parameter matrix is ​​updated using the projected gradient descent algorithm, and the covariance matrix and its inverse matrix are recursively updated using the rank-one update rule to achieve online control gain update and complete the levitation control of the maglev train. This invention eliminates the need for precise dynamic modeling, solving the problems of cumbersome modeling and inaccurate parameters in traditional model-based control. The regularization term significantly improves the system's robustness to complex disturbances and noise, effectively avoiding system instability under conditions of minimal air gap constraints.

This invention discloses a modeling method, system, and device for a suspension system with a non-guided buffer block, belonging to the field of suspension force analysis technology. The modeling method includes: establishing a mechanical model of the suspension system; determining the point of force application and the initial force plane through the kinematic relationship between the control arm and the buffer block; thereby determining the direction of the force between the buffer block and the control arm; and further analyzing the force situation of the suspension system. Based on the kinematic relationship between the control arm and the buffer block, the relative motion between the control arm and the buffer block can be determined, thereby determining the point of action of the buffer block on the control arm, and the initial force plane, which is perpendicular to the force between the buffer block and the control arm at the initial contact stage. The direction of the force between the buffer block and the control arm is determined based on the point of action and the initial force plane, solving the problem of uncertainty in the load direction of the buffer block due to wheel bounce, and realizing the force analysis of a suspension system using a non-guided buffer block.

The application discloses a kind of excavator material weighing system and method, belong to engineering machinery intelligentization measurement field;System is composed of excavator body, inclination sensor, pressure sensor and controller;Inclination sensor is installed in bucket rod and bucket, pressure sensor is installed in bucket cylinder two cavities, controller posture, pressure, handle and main pump signal are collected, and weighing calculation is carried out in the relative static time when unloading before digging is completed, and bucket is not moved.The mechanical model is established only by using bucket parameters, the complex parameters of swing arm and bucket rod are omitted, and the calibration difficulty and external interference are reduced.The center of gravity of material, the weight of bucket is corrected in real time by force analysis of bucket and cylinder output calculation, and the weighing accuracy is significantly improved.The application solves the problems of existing technology, such as complicated calibration, easy to be affected by machine parameters, large dynamic error, has the advantages of simple calculation, high stability, strong adaptability, accurate weighing, and is suitable for various types of excavator online material measurement operation.

The embodiment of the invention provides a maximum wellhead tension determination method and device, a processor and a storage medium, and relates to the technical field of logging, the method comprises the following steps: determining a target well depth position sequence corresponding to a cable according to the current position of a sticking point when the logging operation is stuck; wherein the target well depth position sequence comprises a plurality of target well depth positions; based on the axial force of the sticking point at the current position, wellhead tension at each target well depth position is determined; and determining the maximum wellhead tension according to the wellhead tension of each target well depth position. According to the method and the device, the wellhead tension at each target well depth position is determined through iterative calculation based on the stress analysis of the logging cable, so that the maximum wellhead tension is determined, the maximum wellhead tension can be determined efficiently and precisely without manual intervention, and the accuracy of the maximum wellhead tension is improved. The problems that the maximum wellhead tension can be roughly estimated only by professional technicians when the well logging operation is stuck, and meanwhile operation is tedious, the speed is low and precision is low are solved.

The invention relates to the technical field of simulation analysis, in particular to an analysis method and device for the cracking risk of a sealing rubber strip, electronic equipment and a medium, and the method comprises the steps: carrying out the segmentation definition of the sealing rubber strip at a target position, and building a two-dimensional finite element analysis model; applying boundary conditions and loading conditions to the two-dimensional finite element analysis model to perform section compression simulation analysis to obtain a first analysis result; a target section of the sealing rubber strip with the point stress concentration phenomenon in the first analysis result is recognized, a three-dimensional finite element analysis model is constructed, boundary conditions and loading conditions are applied to the three-dimensional finite element analysis model for three-dimensional compression simulation analysis, and a second analysis result is obtained; according to the second analysis result, whether the line type stress concentration phenomenon exists in the sealing rubber strip of the target section or not is judged, and the section structure of the sealing rubber strip with the line type stress concentration phenomenon is optimized. Therefore, comprehensive stress analysis is carried out on the frame sealing rubber strip through simulation, and efficient evaluation of the cracking risk is achieved.

The utility model discloses a force analysis device which comprises a first rod, a second rod, a supporting piece, a force sensor, a pull wire and a fixed pulley, the second rod, the fixed pulley and the force sensor are respectively installed on the supporting piece, the first rod is rotatably connected with the second rod, one end of the pull wire is connected with the first rod, and the other end of the pull wire is connected with the force sensor. And the orientation of the pull wire is adjusted through the fixed pulley. The first rod and the second rod which are rotationally connected are used for simulating the front arm and the upper arm respectively, and the force sensor, the pull wire and the fixed pulley are arranged, so that it is guaranteed that the force sensor relatively accurately measures the acting force borne by the first rod (the front arm), mechanical experiment display for simulating arm stress is more rigorous and scientific, and teaching requirements are met.

The invention relates to a large-scale high-rigidity dynamometer system, and belongs to the field of vibration measurement. Comprising an inner platform assembly, a force measuring ring assembly, an outer platform assembly and six-component force analysis software. The outer platform assembly is of a horizontally-placed square cylinder structure. A groove is formed in the top of the outer platform assembly; the inner platform assembly is embedded into the groove downwards from the top to achieve butt joint with the outer platform assembly. Force measuring ring assemblies are evenly arranged on the lower surface of the inner platform assembly in the circumferential direction. A cable of each force measuring ring assembly is led out from the side wall of the outer platform assembly and is connected with the six-component force analysis software; according to the invention, the six-component disturbance vibration force / torque generated by a large-scale disturbance vibration source can be accurately measured and displayed in real time, the method is used for analyzing the dynamic characteristics of the disturbance vibration source in six degrees of freedom in the space in the operation process of a spacecraft, and reference is provided for disturbance source suppression.

The application provides a transverse jet flow mixing characteristic prediction method and device, wherein the method comprises the following steps: obtaining physical parameters of a main flow, initial physical parameters and initial geometric parameters of a transverse jet flow, and a position of a target prediction plane; obtaining positions of penetration centers of the transverse jet flow at each intermediate prediction plane based on the physical parameters of the main flow, the initial physical parameters and the initial geometric parameters of the transverse jet flow; and obtaining a trajectory of the transverse jet flow and coordinates of a penetration center of the transverse jet flow at the target prediction plane based on the positions of the penetration centers of the transverse jet flow at the intermediate prediction planes. The transverse jet flow mixing characteristic prediction method and device provided by the application can realize more efficient, rapid and relatively accurate prediction of the mixing characteristic of a small-flow transverse jet flow by regarding the trajectory flow of the transverse jet flow as a series of steady flows composed of mutually non-interfering jet flow elements, performing force analysis on any jet flow element, and performing recursion based on the Lagrange recursion algorithm.

The invention discloses a flexible temporary support method and system along with excavation based on a stress analysis model. The problem that in the prior art, surrounding rock deformation and damage risks of a hollow roof area in the roadway excavation process are difficult to restrain in time can be solved. The excavation-following flexible temporary supporting method is applied to a to-be-excavated area, a first empty roof area, a flexible supporting area and an excavation roadway. Establishing a first stress model, and calculating a first flexible support force required for enabling the tensile stress of the roof not to exceed the ultimate tensile strength of the roof under different empty roof distances; establishing a second stress model, and calculating a second flexible support force required for enabling the radial displacement of the roof not to exceed the maximum allowable radial displacement of the roof under different empty roof distances; and comparing the first flexible supporting force with the second flexible supporting force for the same empty roof distance, selecting the larger flexible supporting force as the target flexible temporary supporting force under the empty roof distance, selecting the corresponding target flexible temporary supporting force in the roadway tunneling process, and implementing tunneling-following flexible temporary supporting on the flexible supporting area.

This invention relates to the field of fluid data analysis technology, specifically to a numerical simulation analysis method for the inlet and outlet characteristics of a water hammer-resistant air valve. This method acquires the spatiotemporal evolution data of the pressure field on the surface of a float under set apparent liquid phase velocity and gas content conditions, constructs a pressure spatiotemporal matrix, and extracts the pressure distribution order coefficient through singular value decomposition. Based on the changing trend of this coefficient, it identifies the Venturi strong adsorption state and records the maximum order coefficient of the process. Simultaneously, combining the relative time lag between the actual closing time of the float and the theoretical arrival time of the pure liquid phase, the working state of the air valve is divided into a substantially safe zone, a sub-safe zone, or a dangerous zone. Finally, the apparent liquid phase velocity corresponding to the boundary between the safe zone and the sub-safe zone is used as the engineering critical velocity. This method overcomes the limitations of traditional force analysis, effectively identifies stable adsorption structures from turbulent noise, accurately warns of hidden risks, and significantly improves the reliability of water hammer protection design.

This invention relates to the field of dynamic characteristics research on belt conveyors, and in particular to a simulation method for the dynamic characteristics of a track-type belt conveyor during turning sections. The method includes: performing force analysis on the trailer unit and organizing its degrees of freedom; establishing the overall coordinate system, vehicle coordinate system, and contact coordinate system, and their transformation relationships; establishing the dynamic equations of the trailer unit; determining the dynamic parameters of the trailer unit; establishing the motion equations of the left and right wheel pairs of the trailer unit based on Hamilton's principle, thereby obtaining the linear second-order differential equations of the trailer unit; and using numerical calculation software to compile a calculation program to simulate the wheel-rail vibration characteristics of the trailer unit during turning sections. This invention is based on multi-degree-of-freedom multibody dynamics theory, constructing nonlinear dynamic equations for the belt conveyor system, and analyzing the six-degree-of-freedom motion equations of the trailer unit.

The application discloses a hull parametric modeling method with bulb bow and bulb stern based on Grasshopper development. The first step is to extract hull lines and other information from a ship type library. The second step is to generate curves, position, sort, project and establish constraint relationships based on non-uniform B-spline curves. The third step is to generate a skin surface according to the defined hull topology structure and the spline curve established in the region. The step-by-step generation method is used to continuously extract the edge line of the generated surface for generating the NURBS surface of the next region. The generation sequence is: bulb bow, bow, bulb stern surface, bulb stern, hull, and hull transition area. The fourth step is to assemble and trim the propeller and rudder. The method solves the problems of low precision, weak hull shape control ability and difficulty in forming a closed surface in the bulb bow and bulb stern regions during the current hull parametric modeling, and the developed hull hydrostatic force analysis method can greatly improve the design efficiency.

The application provides a kind of excavating robot trajectory learning and tracking control method and device, it is related to intelligent robot control.The method comprises: in response to the trajectory planning operation of excavating robot, the sensor acquisition data corresponding to excavating robot is obtained;With the terrain point cloud data of the area to be excavated and the excavation trajectory data as input features, a trajectory planning model is constructed;With the inclination data as input features, a force analysis model is constructed;According to the trajectory planning model, the predicted excavation trajectory corresponding to the excavating robot is output, and the predicted external force received by the excavating robot is output according to the force analysis model;The predicted excavation trajectory and the predicted external force are input, and the excavating robot is controlled by a trajectory tracking controller.The application solves the problem that the traditional rule-based excavating robot performs excavation action according to fixed trajectory and path, which is difficult to adapt to different excavation terrains.

The invention provides a ladder climbing behavior early warning method, device and equipment and a storage medium, and the method comprises the steps: obtaining a skeleton three-dimensional model of an operator generating a ladder climbing behavior, and obtaining a support three-dimensional model of a support supporting the ladder climbing behavior according to a first video monitoring image; in the process that the operator executes the ladder climbing behavior, ladder climbing action data of the operator and the position of a contact point where the operator makes contact with the supporting object are determined according to a second video monitoring picture; controlling the skeleton three-dimensional model to move on the support three-dimensional model according to the ladder climbing action data and the contact point position, and calculating an acting force analysis result of the skeleton three-dimensional model in the movement process; and according to the acting force analysis result, determining whether a ladder climbing behavior early warning message is sent out or not. Therefore, accurate identification of the ladder climbing behavior and accurate and timely early warning of the ladder climbing risk are realized, and the operation safety is improved.

The invention discloses a double-sliding-surface slope sliding mass multi-parameter acquisition method considering parameter degradation, and belongs to the technical field of slope stability analysis. The method comprises the following steps: dividing a double-slip-surface slope slip mass considering parameter degradation into two parts by a hypothetical interface; basic parameters, considering parameter degradation, of the sliding mass of the double-sliding-surface slope are prepared; carrying out stress analysis on the sliding mass of the double-sliding-surface slope, and establishing a sliding block acting force equation; a limit load equivalent equation is established by combining stress analysis and according to the first sliding block area and the second sliding block area; a sliding block acting force equation and a limit load equivalent equation are combined, and a double-sliding-surface slope sliding mass multi-parameter calculation model considering parameter degradation is established; and solving the multi-parameter calculation model of the sliding mass of the double-sliding-surface slope considering parameter degradation. The method is suitable for calculation of the ultimate load and the stability coefficient of the double-sliding-surface slope considering parameter degradation, and has the characteristics of clear concept, high calculation precision and simplicity and convenience in engineering application.

The present disclosure provides a horizontal three-axis hydraulic flight turntable outer frame gravity moment and friction moment identification method, comprising: the outer frame takes zero angular displacement as the initial position, rotates within a certain range, and selects multiple different time instants when the outer frame rotates forward and reversely to the same position for force analysis; a motion equation is obtained through force analysis; the motion equation is operated to obtain expressions of the friction moment and the gravity moment; and the gravity moment and the friction moment at the corresponding positions can be obtained through experiments at different positions. The expression of the friction moment and the expression of the gravity moment are coupled with each other, so that the mutual relationship between the friction moment and the gravity moment is fully considered, the accuracy of the mathematical model is improved, and the design difficulty of the controller is reduced.

The application provides a multi-modal and knowledge base-based enterprise site selection dynamic analysis method, which comprises collecting enterprise information, industry information, park information and policy information and constructing a structured knowledge graph; extracting a historical site selection data set from the knowledge graph with enterprise development time as the axis, analyzing the historical site selection data set and obtaining key factors affecting site selection, integrating the key factors to obtain a first site selection feature set; collecting multi-modal data of the enterprise, extracting a development environment data set from the multi-modal data through text analysis, image analysis and audio analysis, combining the development environment data set with the knowledge graph through a data fusion method, and obtaining a second site selection feature set; calculating the correlation of the first site selection feature set and the second site selection feature set, constructing an enterprise site selection prediction model through a machine learning algorithm; and generating an enterprise-oriented investment attraction strategy according to the prediction result of the enterprise site selection prediction model.

The invention provides a three-generation space conflict driving force analysis method and system fused with machine learning, and belongs to the field of land utilization and space planning. The method comprises the following steps: acquiring land utilization data, natural geographic data, social economic data and location traffic data of a research area; determining an optimal analysis granularity based on the land utilization data; determining an optimal analysis amplitude based on the optimal analysis granularity; constructing a three-generation space conflict comprehensive measurement model and calculating a space conflict comprehensive index; influence factors are selected based on natural geographic data, social economic data and location traffic data, the optimal hierarchical classification number and the optimal spatial analysis scale of the influence factors are calculated by using an OMGD model, and driving force analysis is carried out; and carrying out visual expression on an analysis result, and proposing regulation and control suggestions. According to the method, the problems of subjective scale selection, non-deep driving force analysis, insufficient dynamic evolution description and the like in the prior art are effectively solved, and a scientific basis is provided for regional space planning, conflict regulation and sustainable development.

This invention discloses a method for analyzing and monitoring the stress on conductors under icing conditions, relating to the technical field of conductor monitoring. Upon detecting signs of icing retreat, the system acquires conductor state data within the icing retreat trigger window, forming a comparison segment before and after retreat. Based on this, it calculates the retreat morphology index, stress release index, and stress transmission closure index, further obtaining an ice-rebound risk index to determine whether icing retreat corresponds to true stable recovery. Therefore, the system no longer simply cancels the warning based on reduced icing thickness, decreased static tension, or sag recovery, but comprehensively judges whether the icing retreat morphology is stable, whether the stress release has converged, and whether cross-span disturbances have closed. When there is local detachment, segmented residue, eccentric residue, or cross-span stress transfer, the warning continues or an inspection is triggered, thereby identifying secondary risks caused by ice-rebound, residual ice overloading, and stress redistribution, reducing the possibility of prematurely canceling the warning and missing cascading stress anomalies.

This invention discloses a method, system, terminal, and storage medium for typhoon early warning of ships and large equipment in shipyards based on contingency plan activation and rule matching scanning. The method includes: collecting multi-source key parameters through a shipyard multi-dimensional typhoon early warning management platform; filtering valid data through rule matching scanning; sequentially calling a contingency plan hierarchical triggering model, a wind load nonlinear calculation model, and a ship mooring force analysis algorithm to complete early warning threshold generation, wind load calculation, and mooring force analysis; the collaborative linkage of various models to explore parameter coupling relationships; and optimizing the calculation process step by step through indicator system construction, feature parameter extraction, multi-source data substitution, and result verification; the platform integrates the results of multiple modules to generate corresponding level early warning signals and emergency guidance. This invention achieves precise and efficient typhoon early warning, providing full-process technical support for typhoon prevention of ships and large equipment in shipyards, and improving the operability of early warning and risk management capabilities.

The application discloses a device and a method for determining the characteristics of volatile component coke residue, and the device comprises a workbench, a camera, a pressing block, a driving mechanism, a first sensor and a computer. The tabletop of the workbench is provided with a sample station area for placing a volatile component crucible. The camera is used for shooting the volatile component crucible from the top. The pressing block can vertically enter the volatile component crucible to apply pressure to the coke residue. The driving mechanism is connected with the pressing block to drive the vertical movement of the pressing block. The first sensor is arranged on a first target component of the driving mechanism and is used for feeding back the force change of the first target component during the movement of the pressing block. The computer is electrically connected with the camera and the first sensor respectively and is provided with an image analysis module and a force analysis module. The device and the method provided by the application are beneficial to improving the efficiency and the accuracy of the determination of the characteristics of the volatile component coke residue.

The application provides a design method of a small electromagnetic railgun launcher system, and aims at solving the technical problems of electromagnetic rail launching technology, such as that the power supply is too large to be moved and installed at will, the working current is too large to cause serious rail ablation and affect the service life, and the speed of the armature out of the barrel is too large to require harsh material performance of the guide rail and the armature. The method is that the Ohm's law of the loop is written, the force analysis of the armature is carried out, the derivative of the expression of the electromotive force to the magnetic induction intensity is obtained, the derivative is equal to zero, and the minimum value of the electromotive force of the power supply is found through MATLAB drawing. The method discloses two specific modes of the electromagnetic rail launching system, and the specific configuration of the small electromagnetic rail weapon launching system is given by taking a light weapon as an example. The application enables people to configure the small electromagnetic rail launching system according to the demand, has higher dynamic efficiency, has lower requirement for the electromagnetic launching technology, has better realizability, and can avoid the rail ablation and improve the service life of the rail.