16811results about How to "Reduce wear" patented technology

The invention discloses a logistics park vehicle path planning method and system, and the method comprises the steps: obtaining the real-time position and task state information of a vehicle in a park, dynamically constructing a vehicle path planning network model, dividing a road into nodes and edges, and forming a directed weighted graph; according to the directed weighted graph, an improved multi-lane algorithm is adopted, the path length, the congestion degree and the vehicle characteristic factors are comprehensively considered, and the optimal path of each vehicle is calculated; for the optimal path, introducing a virtual lane and a time dimension, pre-judging occupation conditions of multiple vehicles on the virtual lane for each time slice, and constructing a conflict constraint matrix; obtaining park high-precision map data, extracting road network topology, lane lines and traffic sign marking elements, performing lane-level refinement on the optimal path, and generating a driving track; and through a multi-sensor fusion positioning technology, obtaining high-precision position and attitude information of the vehicle, matching the high-precision position and attitude information with the driving track, and calculating a track tracking error.

The invention discloses a self-adaptive variable-frequency speed regulation device based on a scraper conveyor and a control method, and relates to the technical field of automatic control, and the method comprises the following steps: collecting real-time operation data of the scraper conveyor through a data sensing module, and determining operation demand information of equipment; the evaluation calculation module sets an operation parameter interval and generates an evaluation index. And the rotating speed correlation analysis module performs rotating speed correlation analysis on the real-time data according to the evaluation indexes, constructs a rotating speed correlation list and generates a correlation learning result. And the dynamic matching module calls the frequency converter for dynamic matching to generate an output frequency parameter group. And the linkage control strategy making module executes the intelligent speed regulation control strategy and adjusts the belt speed of the scraper conveyor. The technical problems that in the prior art, due to the fact that the speed of a scraper conveyor cannot be intelligently adjusted under different load conditions, overload shutdown is caused, the energy efficiency is low, and equipment abrasion is aggravated are solved, and the technical effects of reducing energy consumption, reducing equipment abrasion and prolonging the service life are achieved.

The invention relates to the technical field of thermal power plant parameter regulation and control, in particular to an intelligent temperature and pressure regulation method and system for a thermal power plant, and the method comprises the following steps: collecting temperature, pressure and flow data based on heat transfer and flow channels among a boiler, a steam turbine, a condenser and heat exchanger equipment in the thermal power plant; constructing a network structure representing interaction between devices, evaluating heat exchange characteristics of nodes, and constructing heat flow path structure matrix information; according to the method, the complex interaction among the boiler, the steam turbine, the condenser and the heat exchanger equipment is accurately quantified by constructing the heat flow path network structure among the equipment and evaluating the heat exchange characteristics of the nodes. Thermal inertia feedback matrix information is introduced, and transient changes of temperature and pressure are monitored in real time, so that delay and inertia effects in heat transfer and fluid flowing between equipment can be more accurately captured, and the response speed and precision to different loads and working conditions are improved.

The invention discloses a coal mine ventilation optimization and air quality regulation and control method based on adaptive learning, and relates to the technical field of coal mine ventilation optimization, and the method comprises the following steps: arranging a plurality of sensors in a mine, carrying out the real-time collection and monitoring of key environment parameters, and uploading the collected data to a central control system; and comparing the collected real-time data with historical data, and dividing the collected real-time data into conventional working condition data and abnormal working condition data according to environment states. Through real-time monitoring of various sensors and a deep learning algorithm, accurate ventilation control is achieved, a problem area is rapidly positioned in an emergency, airflow is dynamically adjusted, and safety of miners is guaranteed. According to the system, an LSTM model is adopted to predict an event trend in advance, preventive regulation and control measures are taken in time, real-time adjustment is supported, and the strain capacity is improved. Through a multi-stage ventilation mode, the system optimizes energy consumption and equipment operation efficiency, reduces unnecessary energy waste and maintenance cost, and realizes balance between safety and economy.

The invention provides a plate-and-frame filter press, and belongs to the technical field of plate-and-frame filter presses. Comprising a filter press body, the driving assembly has reciprocating displacement along the length direction of the filter press body; the scraper assembly is connected to the filter press body in a sliding manner; the scraper assembly at least comprises a scraper; an included angle a is formed between the scraper and the gravity direction; the included angle a is increased or decreased according to the weight b of the filter cake; the moving distance L of the previous plate frame driven by the driving assembly is increased or decreased under the control of the weight b of the filter cake. The included angle of the scraping plates is adjusted according to the weight of a filter cake, smooth stripping of the filter cake is ensured, particularly, the filter cake with high water content and high weight can be scraped cleanly, residues are avoided, and abrasion of equipment is reduced by reducing unnecessary displacement distance and reducing friction between the guide rail and the plate frame.

The invention relates to the technical field of mechanical arm control, in particular to a mechanical arm and a control method thereof. The method comprises the following steps that real-time load information of all joints of the mechanical arm in the operation process is obtained, the acceleration and rotational inertia of the mechanical arm are monitored in real time, and real-time inertia force data are generated; the torque compensation amount needed by the mechanical arm is calculated according to the real-time inertia force data, and torque compensation control data are generated; performing dynamic analysis on the torque compensation control data, and performing real-time adjustment on the output torque of the servo motor based on the current load and inertia change condition to generate inertia compensation data; and the motion path and the motion speed of the mechanical arm are dynamically optimized according to the inertia compensation data, and path optimization data are obtained. Through real-time monitoring, dynamic adjustment and intelligent optimization, the operation precision, the movement efficiency, the stability and the self-adaptive capacity of the mechanical arm in the complex working environment are remarkably improved.

The invention relates to the technical field of path planning, in particular to an intelligent transportation path planning method based on deep learning, which comprises the following steps: constructing a joint network model based on a convolutional neural network and a long short-term memory network, and training the joint network model by using historical traffic data; in the current transportation task, the real-time traffic data of the non-driving road sections in the current path are analyzed based on the joint network model, and the traffic change trend of each non-driving road section at the next moment is predicted; if the undriven road section of the current path has the sudden traffic event, or one or more undriven road sections in the current path are predicted to have traffic jam at the next moment, re-planning the path; and when the path is re-planned, dynamically optimizing the current path through the reinforcement learning model under the constraint of the multi-objective optimization function. According to the method, the accuracy of the future traffic condition can be improved, and the adaptive optimization of the transportation path can be realized.

The invention belongs to the technical field of hard rock cutting and tunneling, and particularly relates to a composite vibration rock breaking device based on a disc cutter, the composite vibration rock breaking device comprises a cutting assembly, an axial excitation device, a radial excitation device, a driving assembly and a supporting assembly, the rear part of the supporting assembly is fixedly connected with a cutting arm of a tunneling machine; the cutting assembly is fixedly connected with the front end of the supporting assembly internally provided with an excitation device; the driving assembly is arranged in the supporting assembly and is connected with the excitation device; the driving device enables the cutting device to vibrate in the radial direction and also to vibrate in the axial direction at the same time. According to the invention, the disc-shaped cutter impacts the rock by utilizing compound vibration, and the wedge surface of the disc-shaped cutter collapses the rock, so that the rock is efficiently cut; compared with a traditional milling rock breaking mode and a TBM rolling mode, abrasion of the cutter is greatly reduced, and therefore the service life of the cutter is prolonged.

The invention belongs to the technical field of polymer plastic materials, and particularly relates to a high-temperature-resistant anti-corrosion polytetrafluoroethylene material and a preparation method thereof. The polytetrafluoroethylene is prepared from the following raw materials in parts by weight: 50 to 60 parts of polytetrafluoroethylene, 5 to 10 parts of fluorinated modified graphene oxide, 3 to 5 parts of aluminum powder, 5 to 8 parts of modified silicon carbide fiber, 3 to 5 parts of silane modified nano silicon dioxide, 2 to 3 parts of polyphenylene sulfide, 2 to 3 parts of polyimide, 0.5 to 0.8 part of dispersing agent and 0.5 to 1 part of antioxidant. The heat conduction performance and the interface bonding force are improved through the fluorinated modified graphene oxide, the impact resistance and the wear resistance are enhanced through the silicon carbide fibers, and the corrosion resistance and the wear resistance are improved through the aluminum powder; silane modified silicon dioxide enhances the mechanical property of the composite material by improving the dispersity of the filler, and PPS and PI interact with the surface of the filler through polar groups in molecular chains, so that the interface strength is improved, and the toughness and the thermal stability are improved.

The invention relates to the technical field of high-quality machining, in particular to a valve body high-quality machining method based on a numerical control machining center, and the method comprises the steps that power data, cutting force data, feeding speed data and rotating speed data are collected in real time when a numerical control machine tool machines a valve body; determining an operation matching index of the cutting force and the rotating speed at any acquisition moment; obtaining a machine tool operation matching index of the numerical control machine tool at any acquisition moment by combining the cutting force and the operation matching index of the rotating speed at any acquisition moment; determining a feeding speed abnormal factor of the numerical control machine tool at any acquisition moment; and on the basis of the feed speed abnormal factor at the current acquisition moment, adjusting the linear speed in the main shaft linear speed control instruction at the current acquisition moment. The feeding speed in the valve body machining process is adjusted, the surface roughness and tool abrasion are reduced, and therefore high-quality machining of the valve body is achieved.

The invention relates to the field of household kitchens, and discloses a power plant pneumatic ash conveying pipeline abrasion reduction and energy consumption optimization method based on real-time monitoring, which comprises the following steps: S1, arranging a sensor group at a node of an ash conveying pipeline; s2, preprocessing the sensor data through a data processing system; s3, constructing a wear prediction model based on the preprocessed data; s4, based on the pipeline abrasion trend, the airflow speed and pressure are dynamically adjusted; s5, adjusting the equipment power according to the influence of the speed and pressure of the adjusted airflow on the sensor data; s6, feeding back the data of each step to a control system; and S7, establishing a pipeline three-dimensional model. Through real-time collection of pipeline operation state data, data processing and a wear prediction model, the airflow speed and pressure are dynamically adjusted, and the equipment power is adaptively adjusted according to the change of the airflow, so that the wear of the pipeline can be obviously slowed down while the conveying efficiency is kept, and the service life of the pipeline is prolonged.

The invention relates to the technical field of well lid machining, and particularly discloses an automatic grinding machine for a well lid, the automatic grinding machine comprises a supporting seat and a well lid body, a mounting frame is fixedly connected to the upper surface of the supporting seat, a motor is fixedly connected to the inner wall of the top of the mounting frame, and the output end of the motor penetrates through the mounting frame and is fixedly connected with a third gear; the top of the mounting frame is rotationally connected with a second gear, and the second gear and the third gear are meshed with each other; the well lid body can be stably clamped on the supporting base through the supporting block and the pressing disc, the lower surface of the well lid is tightly attached to the rolling wheel, when the motor drives the mounting base to rotate, the rolling wheel rolls to drive the grinding roller to rotate, the peripheral face of the well lid is ground, and during grinding, the grinding roller slides in the fixing plate to adapt to protrusions or burrs of different specifications; and the three groups of grinding rollers work in sequence, so that larger bulges and burrs can be quickly removed. In addition, the three sets of grinding rollers with different mesh numbers can meet the grinding requirement more quickly, and efficiency and quality are greatly improved.

The invention provides an engine pipeline measurement method based on laser scanning, which belongs to a non-contact measurement technology, and comprises the following steps: before measurement, selecting a three-dimensional laser scanner, configuring and calibrating the three-dimensional laser scanner, carrying out a scanning test, adjusting a scanning environment, and then obtaining pipeline point cloud data; the outlier error of the pipeline point cloud data is denoised by using a KD-tree (K-dimension tree), and the outlier error of the pipeline point cloud data is denoised by using the KD-tree (K-dimension tree); de-noising system errors and random errors of the pipeline point cloud data by using a Gaussian filter; segmenting the point cloud data of the pipeline, and identifying and isolating all parts (linear segments, elbows and joints) of the pipeline; performing reverse modeling on the pipeline point cloud data to obtain a digital model of the pipeline; and comparing and analyzing the original point cloud of the pipeline and the pipeline model, and evaluating the error of pipeline measurement. According to the invention, the feature extraction and processing analysis of the pipeline point cloud are realized, the time cost of engine pipeline assembly is reduced, and the wear of the pipeline is reduced.

The invention relates to the technical field of high polymer materials and preparation thereof, and discloses a wet anti-slip bionic friction pad on a glass surface, which is inspired by a micro-nano structure of toe pads of organisms such as tree frogs and long-horned grasshoppers with wet friction increasing characteristics, and a bulge array is added on the surface of a high-friction material, so that the friction coefficient of the friction pad is increased; the microstructure arrays can discharge a water film on the surface of the friction pad under the capillary action in a wet environment, and the effective contact area between solids is increased, so that the friction pad and a friction surface are always kept in a dry friction state, and stable friction force is ensured. The friction pad comprises a connecting layer, a supporting layer and a tail end protruding straight column array, a tail end contact layer is in a hexagonal straight column shape, the diameter of an inscribed circle of a hexagonal micro-column structure ranges from 5 micrometers to 5000 micrometers, column bodies are densely arranged in a hexagonal mode, the height of the column bodies ranges from 10 micrometers to 1500 micrometers, the tail ends of the column bodies are planes, the interval between every two column bodies ranges from 2 micrometers to 600 micrometers, and tight drainage grooves are formed.

The invention relates to the technical field of metal bearings, in particular to a reinforced liquid metal sliding bearing. The enhanced liquid metal sliding bearing comprises a rotor, a stator and liquid metal filled in an assembling gap between the rotor and the stator. The fixed positions of the rotor and the stator are provided with a spiral groove structure, a textured microstructure, an infiltration coating and a sealing coating. By adopting the enhanced liquid metal sliding bearing provided by the invention, the wettability and the wear resistance of a bearing rotating pair can be improved, and the problems of coating falling, wear, poor lubrication and the like of the enhanced liquid metal sliding bearing in a high-vacuum, high-temperature, high-pressure, high-speed and high-load use environment are effectively solved. High-pressure sealing is formed on the gaps between the stator and the rotor and between the limiting rings of the stator and the rotor, the liquid metal is kept in the bearing, the assembled bearing does not need a vacuum environment in the transfer process, meanwhile, external gas is prevented from entering the bearing structure, and the possibility that the liquid metal leaks or gets stuck is reduced.

The invention relates to the technical field of conveying equipment, in particular to a chain type scraper conveyor which comprises a rack, a chain, a scraping mechanism, a conveying belt and a synchronizing mechanism. Through cooperation of the sliding blocks and the sliding grooves at the two ends of the scraping plate, the scraping plate is perpendicular to the chain all the time, and the problem that in the prior art, due to the fact that the chain of a scraper conveyor is stressed, the scraping plate deviates, and abrasion is generated between the scraping plate and a shell is solved; in addition, relative movement between the bearing table and the scraping plate is changed into synchronous movement between the bearing table and the scraping plate, and abrasion caused by friction between the scraping plate and the bearing table is avoided. By arranging the synchronizing mechanism, the conveyor can adjust the relative motion relation between the scraping plate and the conveying belt according to different working conditions, and when materials are heavy, the scraping plate moves relative to the conveying belt to push the materials on the conveying belt; when the materials are light, the conveying belt and the scraping plate move synchronously, abrasion between the conveying belt and the scraping plate and bending abrasion of the conveying belt are reduced, and the service life is further prolonged.

The invention relates to the technical field of welding clamping, and discloses an automobile part welding tool clamp which comprises a supporting unit, a centering adjusting unit and a clamping fixing unit. When an electric push rod pushes a sliding rod to slide, the sliding rod drives a rocker arm at the tail end to rotate around a rotating center, the position of an ejector block on the rocker arm changes, the ejector block drives an ejector rod to move towards the interior of a supporting cross beam, the ejector rod can drive an X-axis pressing plate to slide inwards, and then a workpiece on the supporting cross beam is extruded and pushed front and back; the ejector rod can move to drive the connecting plate to slide synchronously, the sliding plate on the connecting plate slides along the inclined pressing groove at the moment, the Y-axis pressing plate at the moment can be pushed to move towards the side wall of the supporting cross beam through the guiding effect of the pressing groove, the workpiece on the supporting cross beam is squeezed and pushed left and right, and through combination of front-back squeezing and left-right squeezing, the workpiece can be pushed to move synchronously. And it is guaranteed that the workpiece is automatically located in the center of the supporting cross beam, manual adjustment is not needed, and operation is simpler.

The invention discloses a steel strand wiredrawing and derusting device, and relates to the technical field of derusting, the derusting device comprises a rack, a guide mechanism, a control system, a detection mechanism and a polishing mechanism, the guide mechanism is rotatably connected with the rack, the guide mechanism is used for guiding a workpiece, the control system is fixedly connected with the rack, and the detection mechanism is used for detecting the workpiece. The control system is used for controlling actions of the detecting mechanism and the polishing mechanism, the detecting mechanism and the polishing mechanism are sequentially arranged in the conveying direction of workpieces, the detecting mechanism is fixedly connected with the rack, the polishing mechanism is fixedly connected with the rack, and the polishing mechanism is used for removing rust on the surfaces of the workpieces. The workpiece sequentially passes through the detection mechanism and the polishing mechanism, the detection mechanism can detect the position of rust on the surface of the workpiece, then the control system controls the polishing mechanism to conduct accurate polishing treatment on the rust, and therefore the rust treatment efficiency is improved.

The invention discloses a measuring system and a calculating method for the friction coefficient of a plunger pump flow distribution pair, and relates to the technical field of fluid machinery and intelligent measurement and control. The system comprises the following components: a multi-dimensional data acquisition module, a data processing and preprocessing module, an intelligent calculation model construction module, a friction coefficient prediction and optimization module and a visualization and report generation module. According to the invention, through the multi-dimensional data acquisition module and the intelligent calculation model construction module, accurate measurement and prediction of the friction coefficient of the plunger pump flow distribution pair are realized, the nonlinear relationship among the parameters is fully considered during design of the intelligent calculation model, and training is carried out through a large amount of experimental data, so that the accuracy and the accuracy of the friction coefficient of the plunger pump flow distribution pair are improved. According to the method, the complex influence mechanism of each parameter on the friction coefficient can be automatically learned and identified, the prediction precision of the friction coefficient is improved, and the generalization ability of the model is remarkably enhanced through wide-coverage operation conditions and design variants, so that the prediction result is more reliable and stable.

The invention discloses a borehole pressure monitoring system based on multi-modal information fusion, and particularly relates to the technical field of multi-modal information fusion. Comprising a drilling pressure monitoring area division module, a multi-modal information data acquisition module, a multi-modal information data analysis module, a drilling pressure multi-modal information fusion module, a drilling pressure monitoring and early warning module and a drilling pressure monitoring man-machine interaction module. The drilling pressure monitoring area division module is used for taking drilling operation as a target area and dividing the target area into a plurality of monitoring sub-areas according to equal time periods; according to the method, the pressure-rock type parameter is analyzed to obtain an index to evaluate the influence degree of the rock type on the drilling pressure, and in the multi-modal information fusion process, the fusion algorithm and parameters can be adjusted according to different rock types, so that the method can better adapt to the mechanical properties and drilling pressure response characteristics of different rocks, and the method has good application prospects. And the accuracy and the reliability of drilling pressure monitoring are further improved.

The plug comprises a plug shell and a tail sleeve, the plug shell is formed by assembling an outer shell and a mounting seat, an inner core is arranged in the plug shell and is positioned with the mounting seat, the mounting seat is divided into a front section and a rear section, the front section is of a cylinder structure connected with the outer shell in a matched mode, and the rear section is of an external thread connecting section connected with the tail sleeve in a matched mode. The shell is sleeved outside the cylindrical structure of the mounting base in a manner of being capable of rotating for a certain distance through a limiting structure and can rotate for a certain distance relative to the inner core, and a locking piece capable of being matched and locked with a corresponding socket or plug is mounted on the shell in a front-back sliding manner. The plug is reasonable in structural design, plugging adopts a direct plugging and rotary locking mode, plugging and unplugging are convenient, locking is firm and stable, misoperation unlocking can be prevented, abrasion to the inner core can be reduced, the service life of the plug is prolonged, the waterproof performance is good, and processing and manufacturing are convenient.

The invention belongs to the technical field of environmental sanitation machinery, and particularly relates to a high-speed low-noise centrifugal fan with an air filtering effect, the high-speed low-noise centrifugal fan comprises a fan volute, a fan impeller is mounted in the fan volute, the fan impeller comprises a front disc, a middle disc and a plurality of fan blades, the fan blades are located between the front disc and the middle disc, and the fan blades are arranged in the fan volute. A flow channel of the fan impeller is formed by the front disc, the middle disc and the space between every two adjacent fan blades, and a driving motor is installed on the rear side of the fan volute. According to the high-speed low-noise centrifugal fan with the air filtering effect, brand new plans are made on the blade shape, the blade structure, the volute, the volute tongue and the overall structure of the fan, and particularly, the cyclone separator is additionally arranged at the air inlet of the fan, so that high-speed air entering the volute of the fan is rapidly separated and purified; and dust and other garbage in the gas are settled and separated, so that the quality of air discharged into the atmosphere from an outlet of the fan is improved, and secondary pollution of environmental sanitation operation is reduced.

The invention belongs to the technical field of magnetic suspension centrifugal compressor control, and particularly relates to a magnetic suspension centrifugal compressor constant flow and constant pressure control method and system.The method comprises the steps that multi-parameter data of a compressor are obtained, and a working condition analysis model is constructed through the multi-parameter data and historical operation data; training and updating the constructed working condition analysis model; adjusting a working condition demand weight according to a judgment result of the working condition analysis model, introducing a prediction control algorithm according to historical data and working condition characteristics, and performing loss compensation through a dynamic response model established by predicting a current change trend; dynamic adjustment and optimization are carried out based on the real-time working condition and the change rate of pressure and flow; and accurately controlling the output power of the compressor through a dynamic optimization result. Dynamic adjustment and optimization are carried out based on the real-time working condition and the change rate of the pressure and the flow, the precision of pressure and flow control is further improved, and adaptability is improved.

The coarse aggregate ultra-high performance concrete premix lifting, transferring and mixing device comprises a control system, an aggregate batching system, an aggregate lifting system, a dry mixing main machine system, a feeding vehicle, a steel fiber feeding system and a stirring system, the whole stirring process is automatically controlled and comprises key steps of automatic metering, automatic raw material feeding, mixing and the like, so that manual operation is remarkably reduced, errors and inconsistency caused by manual metering are avoided, and the accuracy and repeatability of stirring each time are ensured; step-by-step feeding of each part is coordinated through a control system, so that the stirring efficiency and the uniformity of concrete are improved; by establishing a relational expression between a concrete mixture stirring uniformity index and parameters such as the stirring time, the stirring speed, the number of stirring blades, the vibration frequency of the two-stage vibrating screen and the like, key parameters in the stirring process are more accurately controlled, and it is ensured that the stirring uniformity of each batch of concrete reaches a preset standard.

The invention belongs to the field of grid-connected converter control methods, and discloses a torque quantization-based low-frequency oscillation suppression method for a direct-current voltage synchronous inverter, which constructs a grid-connected damping torque model of the inverter, quantifies a damping torque and a synchronous torque of a system and describes oscillation characteristics of the system. When oscillation is unstable and damping or synchronous torque is a negative value, the provided compensation torque stabilizer is introduced through angular frequency deviation, a lag phase of the system at the oscillation frequency is compensated by using a lead-lag corrector, and then the compensation torque stabilizer is fed back to an active power reference value. By designing the compensation torque, it is ensured that the synchronous torque and the damping torque of the system are positive values all the time, and oscillation instability is effectively restrained. The method is suitable for a small-disturbance working condition, the steady-state characteristic of inverter operation is not changed, the grid-connected stability of the grid-forming type photovoltaic inverter is improved, and meanwhile scheduling optimization and energy efficiency evaluation of the system are not affected.

The invention relates to the technical field of fabric performance detection, and mainly describes a fabric performance detection device for shirt fabric. Comprising a base, the base is fixedly connected with a vertically-distributed electric push rod, the telescopic end of the vertically-distributed electric push rod is fixedly connected with a friction disc and a fixing frame, the friction disc and the fixing frame are both in sliding connection with the base, and the fixing frame is fixedly connected with a first elastic push rod; the telescopic end of the first elastic push rod is fixedly connected with a fixing table, the base is fixedly connected with a second elastic push rod, the fixing frame is fixedly connected with an adjusting cylinder, and the base is rotationally connected with a reciprocating lead screw. The reciprocating lead screw drives the telescopic end of the second elastic push rod to do linear reciprocating motion, and then the fitting degree of the friction disc and the fabric is periodically changed, so that friction of different degrees between the fabric and an external article in actual life is simulated, and the accuracy of a fabric pilling test is improved.

The invention relates to the technical field of tunneling parameter prediction, in particular to a complex stratum TBM tunneling parameter real-time prediction method. According to the technical scheme, the method comprises the steps of data collection and preprocessing, model selection and training, model prediction and evaluation, and result application and feedback. According to the data collection and preprocessing, operation parameters are collected in real time through various sensors on TBM equipment, wherein the operation parameters comprise the cutterhead rotating speed, the penetration degree, the thrust, the torque, the total thrust, the gripper shoe pressure, the propelling speed, the current and the power. Real-time prediction of the TBM tunneling parameters of the complex stratum is achieved by fusing the machine learning algorithm, the tunneling parameters can be optimized in real time, and the construction efficiency is improved; the tunneling process is stabilized to guarantee the engineering quality; tool abrasion is reduced, energy consumption is reduced, and the construction cost is reduced; equipment faults and accidents are prevented, and construction safety is guaranteed; and construction technology innovation can be promoted, intelligent construction management is achieved, the comprehensive benefits of TBM construction are comprehensively improved, and efficient, safe and intelligent development of tunnel (roadway) engineering is promoted.

The invention belongs to the technical field of application of brake materials for brake pads, and particularly discloses a friction material for a phase change heat storage composite brake pad, which comprises Cu powder, Cr powder, V powder, CuAlMn particles, graphene powder and graphite powder in a mass ratio of (40-60): (10-25): (0.1-1.5): (10-30): (0.5-1.5): (4-6). The friction material for the brake pad has the beneficial effects that the prepared friction material for the brake pad is low in friction coefficient, good in wear resistance and good in heat fading resistance, and the service life is prolonged; cu is used as a matrix, and Cr and V are used as reinforced matrix components, so that the material plays an important role in the overall strength and wear resistance of the material for the brake pad; the CuAlMn particles are adopted, so that unstable friction coefficient and brake failure caused by over-high temperature of the friction material for the brake pad under the high-temperature condition are effectively relieved; graphene and graphite are used as lubricating materials, so that the friction coefficient is effectively reduced and stabilized, and the thermal stability is improved.

The invention provides a hilly and mountainous area tracked vehicle intelligent chassis system and algorithm based on environmental perception and road surface recognition, and belongs to the technical field of agricultural mechanical equipment. The system comprises a mechanical structure part and a control system part. According to the algorithm, multi-modal sensing and fusion decision making of the mobile terminal are achieved, the FPN + ResNet50 algorithm, the IPM image inverse perspective algorithm, the 3D sparse convolutional graph neural network, the TSDF truncation signature distance algorithm, the MDU algorithm, the gating modal sensing convolutional network and the Pi-Sigma fuzzy neural network learning algorithm are innovatively combined, the recognition precision and the decision making reliability are guaranteed, and meanwhile, the fusion decision making efficiency of the mobile terminal is improved. And the calculation amount and the calculation cost are reduced, and the recognition efficiency is improved, so that more accurate, timely and reliable recognition perception and feedback control are realized. The algorithm comprises the steps of image acquisition, image feature extraction, feature fusion, feature comparison and the like, and the method is not only suitable for field operation of tracked vehicles in complex hilly and mountainous areas, but also suitable for transfer driving of the tracked vehicles in a working environment.