6431 results about "Force sensor" patented technology

Embodiments of the invention provide an active pen-stylus that emulates a paper feeling for users of the active pen-stylus. The active pen-stylus comprises a writing shaft that receives physical forces arising from use of the pen-stylus by a user. The active pen-stylus also includes a force sensor that receives forces from the writing shaft, the force sensor configured to convert received forces into an electronic signal. A writing spring receives forces from the force sensor and reflects back to the user a reactionary force that emulates a paper feeling. The writing spring compresses and undergoes geometric deflection in creating the reactionary force that emulates the paper feeling. The geometric deflection produced by the writing spring arises from deformation of the writing spring by the received forces.

The invention discloses a battery cell simulation type state sensing and feedback method and system, and the method comprises the steps: providing a simulation battery cell detection device which flows on a production line along with an actual battery cell; the device is provided with a shell matched with an actual battery cell in boundary dimension, a film pressure sensor covering the surface of the shell, and a built-in collector, in the circulation process, the sensor collects pressure data applied by the production line equipment in real time; the built-in collector stores data and sends the data to the upper computer processing system in a wireless mode; and the upper computer processing system receives and analyzes the pressure data, judges abnormity according to a preset pressure threshold value and generates a report. By simulating the real stress condition of the battery cell, comprehensive, real-time and automatic monitoring of the pressure state in the production process is realized, the abnormal reason can be accurately positioned, the problems of lack of monitoring means and difficulty in problem tracing in the prior art are solved, the product quality and the production efficiency are effectively improved, and the potential quality hazard is reduced.

The invention relates to a pressure sensor (1) for detecting a leakage in a first separating membrane (8), with - a process adapter (6) with a membrane system (7) comprising the first separation membrane (8) and a second separation membrane (9), which are arranged such that the first separation membrane (8) faces the medium (24) and the second separation membrane (9) faces away from the medium (24) and a first intermediate space (10) is enclosed between the first separation membrane (8) and the second separation membrane (9), which has a vacuum, - a sensor unit (14) with a carrier (15), a second pressure sensor (16) and a communication unit (17), wherein the sensor unit (14) is attached to the pressure sensor (1) in a pressure-tight manner by means of the carrier (15) and is arranged such that the second pressure sensor (16) monitors the vacuum in the first space (10), wherein the second pressure sensor (16) and the communication unit (17) are electrically connected to each other and are arranged on a surface of the carrier (15) facing the vacuum.

The invention discloses a pressure injury risk early warning method and equipment, and relates to the technical field of medical monitoring instruments. The pressure sensor array layout can be self-adaptive to the body shape of a patient, a key osseous process part is covered, no monitoring dead angle is ensured, a temperature compensation mechanism is built in, environmental interference is reduced, the measurement precision is improved, an abnormal pressure threshold value can be dynamically set based on individual medical record data, data verification is performed before early warning is triggered, false alarm is avoided, and the array structure is light, thin and flexible. The mask is comfortable to fit skin, supports long-term wearing and is easy to disinfect and maintain; environment temperature and humidity parameters and pressure data are subjected to fusion analysis, the influence of a high-temperature and high-humidity environment on skin microcirculation can be recognized, the risk of pressure sores can be evaluated in an auxiliary mode, a calibration algorithm is built in a sensor, environment fluctuation interference is reduced, and data reliability is ensured; and the early warning unit comprises sound-light alarm equipment which supports a multi-stage alarm mode and is used for triggering an early warning signal and pushing information when the risk index exceeds a threshold value, so that the early warning timeliness is ensured and the false alarm risk is reduced.

The invention provides a mechanical arm action sequence generation method and device, a model training method and electronic equipment, and belongs to the technical field of robots, and the method comprises the steps: obtaining multi-modal sensing data of a mechanical arm operation environment, extracting the spatial geometric features of an operation object based on RGB-D images, and obtaining the multi-modal sensing data of the operation environment; body state features of the mechanical arm are extracted based on the joint angle data, and interaction force features of an end effector are extracted based on the six-dimensional force sensor data; performing fusion processing on the spatial geometric features, the ontology state features and the interaction force features to obtain a joint representation vector; the joint representation vector is used as condition input, and the joint representation vector and a randomly generated initial noisy action sequence are jointly input into a pre-trained condition diffusion model; and a final mechanical arm action sequence is deduced step by step. According to the method, the generalization ability of the mechanical arm in a complex scene is improved by combining the multi-modal sensing data and the conditional diffusion model.

The invention discloses an adaptive multi-angle elbow airtightness detection method, which comprises the following steps: arranging a flexible pressure sensor array and a micro inertial measurement unit on the inner wall of an elbow, collecting multi-point sealing pressure and attitude signals in real time, fusing geometric parameters and a spatial mapping relation, and completing denoising, normalization and multi-curvature region mapping of pressure data; a distributed pressure-attitude database is combined, a function model associated with sealing pressure and pipeline geometric parameters is established, inflation, exhaust and deformation of each node are dynamically adjusted through an intelligent closed-loop regulation and control algorithm, collaborative optimization of multi-node pressure and a fitting state is achieved, and the sealing performance of the pipeline is improved. According to the method, the accuracy and the self-adaptive adjusting capacity of sealing pressure distribution under a complex bent pipe structure are effectively improved, the tiny leakage real-time positioning and self-learning optimization capacity is achieved, and the method is suitable for sealing quality guarantee of various types of curved surface pipelines.

The invention belongs to the technical field of medical equipment. The endoscopic surgery operation quality real-time quantitative evaluation system comprises an endoscopic camera probe used for collecting endoscopic images and an endoscopic handle used for operation. The displacement sensor is integrated on the endoscope camera probe and is used for detecting the endoscope entering speed; the pressure sensor is integrated on the gas injection pipeline and is used for detecting the intracavity pressure; the force sensor is integrated on the endoscope handle and is used for detecting the tissue traction deformation; the optical coherence layer scanning probe is integrated on the endoscope camera probe and used for detecting the thickness of the submucous membrane, and the processing terminal is used for conducting real-time quantitative evaluation on the endoscopic surgery operation quality according to the endoscope entering speed, the intracavity pressure, the thickness of the submucous membrane, the tissue traction deformation image, the included angle between an instrument and a focus normal and the complication response time. According to the invention, full-process datamation real-time accurate evaluation of operation skills and operation safety of operators is realized.

The invention relates to the technical field of bridge construction, in particular to an arch bridge construction counterweight optimization method and system based on stress monitoring. The method comprises the following steps: arranging a plurality of stress sensors at different parts of an arch bridge, and collecting stress monitoring data; performing data preprocessing operation and feature extraction operation on the stress monitoring data; inputting the features, the construction state parameters and the structure parameters into a machine learning model to obtain an arch bridge multi-section stress trend; generating an arch bridge construction counterweight optimization scheme by adopting a non-dominated sorting genetic algorithm; dynamically adjusting the counterweight optimization scheme according to stress monitoring data and the multi-section stress trend of the arch bridge; therefore, accurate and scientific optimization of the counterweight scheme in the arch bridge construction process is realized.

The invention, which belongs to the technical field of artificial intelligence, discloses a multi-modal cross-view-angle air-ground cooperation big model system comprising a heterogeneous agent module, a multi-modal data processing module, a cross-view-angle fusion module, a big language model reasoning module and an action decision module. The heterogeneous intelligent agent module comprises an unmanned aerial vehicle, a ground robot and an unmanned vehicle, the unmanned aerial vehicle is provided with a high-resolution camera, an infrared imaging device, a laser radar and a meteorological sensor, the ground robot is provided with the laser radar, a camera and a force sensor, and the unmanned vehicle is provided with a camera, a radar and an inertial measurement unit. The multi-view features are fused through a cross attention mechanism, precise mapping from the features to real coordinates is realized in combination with a ScaleToRealClip model, and scale and coordinate differences of air and ground data are eliminated; meanwhile, the cross-view fusion module can dynamically update environment coordinates, help an intelligent agent to perceive temporary obstacles in real time, and construct a comprehensive and accurate environment cognition model.

Disclosed in the present invention are high-rise pile cap equipment under a horizontal load and a centrifuge test method for foundation bearing characteristics thereof. The equipment comprises a model box, a sand layer, a model pile cap, at least eight model piles, a horizontal loading device, at least two laser displacement sensors, an axial force sensor, and a plurality of strain gauges. The method comprises: S1, performing one-way horizontal loading on high-rise pile cap equipment under a horizontal load to obtain an ultimate foundation bearing capacity situation, a model pile body axial force distribution situation, a pile foundation axial force comparison situation, a model pile body bending moment distribution situation, and a model pile body bending moment comparison situation of the equipment; and S2, performing one-way variable amplitude cyclic loading on the high-rise pile cap equipment under the horizontal load to obtain a foundation displacement situation, an effect of the number of cycles on foundation stiffness, an effect of a cyclic load amplitude on the foundation stiffness, and a foundation inclination situation. In this way, the foundation design of the high-rise pile cap can be optimized, and a basis and a reference for evaluating safety of foundation long-term service are provided.

The invention relates to the technical field of industrial vehicle intelligence, in particular to an intelligent flexible forklift system based on multi-mode sensing and self-adaptive path planning. The intelligent forklift comprises an intelligent forklift body, a vehicle-mounted integrated control system, a multi-mode sensing and navigation module, a self-adaptive decision-making and path planning module, a cooperative communication and task management module and a cloud scheduling and management platform, and the intelligent forklift body is provided with a pallet fork mechanism with a 3D camera and a force sensor; the vehicle-mounted integrated control system serves as a core to achieve multi-module data interaction and instruction output, the multi-mode sensing and navigation module generates an environment situation map through multi-source data fusion, the self-adaptive decision-making and path planning module completes path planning, obstacle avoidance and pre-verification, the cooperative communication and task management module achieves multi-vehicle cooperation and task disassembly, and the multi-mode sensing and navigation module generates an environment situation map through multi-source data fusion. And the cloud scheduling and management platform realizes global monitoring and management. According to the method, the adaptability to complex scenes and the operation safety are improved, and accurate forking and flexible path planning are realized.

The invention relates to the technical field of power equipment, in particular to an intelligent circuit breaker electric operation mechanism integrating multi-parameter detection and an intelligent monitoring system.The intelligent circuit breaker electric operation mechanism comprises a basic mechanism unit, a detection unit, an intelligent control unit and a communication unit, and the basic mechanism unit comprises a double-layer sliding block compensation system and a transmission mechanism; the double-layer sliding block compensation system is composed of a first sliding block, a second sliding block and a spring set, and a thin film pressure sensor is integrated on the bottom face of the second sliding block. According to the intelligent circuit breaker electric operation mechanism integrated with multi-parameter detection and the intelligent monitoring system, the health state and fault assessment system achieves fault assessment through data receiving, feature fusion, health modeling and fuzzy reasoning, and the intelligent monitoring system comprises a remote monitoring platform. And data display, fault early warning, remote control and reference model optimization are supported, intelligent control and multi-dimensional state monitoring of the circuit breaker are realized, and the fault diagnosis accuracy and the reliability of a power system are improved.

The invention discloses an emotional interactive intelligent nursing system and method based on multi-modal perception, and belongs to the technical field of intelligent medical treatment and intelligent old-age care crossing. The matrix type pressure sensor array is integrated in the nursing mattress, multi-point pressure distribution of the body of the old people on the bed surface is obtained in real time, and high-resolution body pressure mapping is achieved. Compared with an existing single-point type or linear pressure monitoring structure, the system can accurately recognize the spatial position of a local pressed area, and early recognition and quantitative evaluation of a bedsore risk area are achieved. By fusing the pressure matrix, the heart rate, the blood oxygen, the environment temperature and humidity, the urine wetting and other multi-mode sensing data, the monitoring dimension is remarkably expanded, the health condition can be comprehensively evaluated from multiple physiological indexes, compared with a single physiological parameter monitoring mode, the more comprehensive information obtaining capacity is achieved, and the monitoring precision and the nursing efficiency are effectively improved.

An electrical device for a rotational device of a human-powered vehicle comprises a force sensor, a position detector, and an electronic controller. The force sensor is configured to measure a force applied to the rotational device. The position detector is configured to detect a rotational position of the rotational device. The electronic controller is configured to adjust a measurement value of the force sensor based on the rotational position detected by the position detector.

The invention provides a flexible welding deformation control method and an obtained bogie framework, specifically, a deformation monitoring sensor used for collecting workpiece deformation and a force sensor used for collecting clamping force are installed on a workpiece clamp; the deformation monitoring sensor and the force sensor are connected with the data acquisition control module; the method comprises the following steps: pre-installing a workpiece on a clamp, and establishing a mapping relation among the workpiece, the clamp and each sensor in the clamp; according to historical welding data of the same type of structure, presetting reversible deformation parameters, collecting pre-welding reference data, verifying data of each sensor, and if reversible deformation is effective, entering a welding process monitoring state; welding machine signals and sensor data are collected in real time, the deformation state is processed and analyzed in real time, and adjustment suggestions are output; and after welding is completed, the deformation trend of the workpiece after loosening and clamping is judged in combination with sensor data, deformation data of the workpiece after loosening and clamping are collected, whether the deformation data are qualified or not is judged, and if not, adjustment and repair are conducted till the deformation data are qualified.

The invention discloses a fire-fighting pipe network pressure dynamic monitoring method and system combined with the Internet of Things and a medium, and relates to the technical field related to pressure monitoring, and the method comprises the steps: deploying a pressure sensor and an auxiliary sensor at a fire-fighting pipe network monitoring node, and building a topology sensing structure through wireless Internet of Things communication; carrying out adaptive sampling adjustment and then establishing a node sampling data set; transmitting the data to a multi-time window pressure evolution model to execute sliding differential analysis, and calculating an abnormal trend index; configuring a neighborhood broadcast request and performing broadcast consistency verification; abnormal trend index enhancement correction is carried out, and group resonance detection is carried out to establish linkage cooperative early warning; and a fire-fighting pipe network pressure abnormity early warning signal is reported. The technical problems that in the prior art, dynamic abnormal data of the fire-fighting pipe network are difficult to sense in real time, cooperation is lacked, response lags, and pressure monitoring accuracy and reliability are poor are solved, and the technical effects that real-time and accurate dynamic monitoring is achieved, and the pressure monitoring accuracy and reliability of the fire-fighting pipe network are improved are achieved.

The invention relates to the technical field of six-dimensional force sensor calibration, in particular to a high-precision six-dimensional force sensor calibration device and calibration method. The invention provides a high-precision six-dimensional force sensor calibration device which comprises a base, a calibration platform, a cross force application frame, an S-shaped tension sensor and a fixed pulley. The calibration platform is arranged on the base and is used for fixing the six-dimensional force sensor; the center point of the cross force application frame is connected to the six-dimensional force sensor, a plurality of fixed pulleys are arranged on the calibration platform, a plurality of S-shaped tension sensors are arranged on the cross force application frame, and loads are applied to the S-shaped tension sensors or directly applied to the cross force application frame through connection of a weight set and a rope and guidance of the fixed pulleys. Therefore, a single-dimensional force, a single-dimensional torque, a composite force or a composite torque is applied to the six-dimensional force sensor. Accurate loading of the six-dimensional force sensor is achieved, the device is simple in structure and convenient to operate, independent calibration of single-dimensional force / torque can be achieved, and combined loading can also be conducted.

The invention discloses an error compensation method of a strain type six-dimensional force sensor based on multi-source sensing information fusion, and belongs to the technical field of intelligent sensors. The error compensation method comprises the following steps: data acquisition; preprocessing and fusing data; constructing an error prediction model by adopting a time sequence neural network; training data construction and model training; performing online error compensation and feedback; and verifying, adjusting and optimizing the system. Based on fusion of multiple sensors (IMU, a temperature module and a timer) and time sequence neural network modeling, combined online compensation of errors caused by gravity, temperature drift and time drift of the six-dimensional force sensor is achieved, the method has the advantages of being high in compensation precision, high in response speed and high in adaptive capacity, and the application requirements of various high-precision measurement and control systems are met.

The invention discloses a numerical control machine tool dynamic error cooperative compensation control method adaptive to high-speed machining, and relates to the technical field of numerical control machine tool error control. According to the method, a multi-source dynamic error sensing system comprising a grating displacement sensor, a six-dimensional force sensor and the like is constructed to acquire data; after wavelet threshold denoising and Kalman filtering preprocessing, inputting a three-layer LSTM error coupling prediction model combined with an attention mechanism, embedding a servo motor load characteristic curve in the model, and outputting three types of error compensation amounts; through servo-level compensation and machining-level compensation, the position of a feed shaft, the rotating speed of a main shaft, the cutting feed rate and the behavior of a micro-displacement actuator are corrected, and machining errors caused by deflection and vibration conduction of the main shaft are counteracted. And iteratively updating model parameters by using a gradient descent algorithm. According to the method, through multi-source error synchronous sensing, error coupling modeling and hierarchical cooperative compensation, dynamic error cooperative control more adaptive to a high-speed processing scene is realized, and the method has a wide application value.

The invention provides a self-adaptive calibration system for an automobile fuel evaporation pressure sensor, which relates to the technical field of sensor control, and comprises a processing module used for collecting original pressure data of the fuel evaporation pressure sensor, temperature data of an engine compartment, environment humidity data and electromagnetic interference intensity data of surrounding vehicles in real time, filtering the original pressure data to obtain a processed pressure signal; and the extraction module is used for dividing the processed pressure signal into a first pressure section and a second pressure section according to a time sequence, and respectively selecting pressure data at three different moments in the second pressure section as a first group of characteristic pressure data set and a second group of characteristic pressure data set. According to the invention, the compensation amount is dynamically generated and optimized to correct the response delay of the sensor, and the calibration parameters are adaptively adjusted in combination with the electromagnetic interference intensity of surrounding vehicles, so that the accurate measurement of the fuel evaporation pressure is finally realized.

A system and method for controlling a cleaning system for motor vehicle components, wherein the cleaning system includes a fluid conveying device, a pressure sensor for determining a pressure generated by the fluid conveying device, a fluid distribution device with at least one input port fluid-connected to the fluid conveying device and with at least two output ports fluid-connected to the input port, wherein each output port is adjustable between an open position and a closed position, at least two cleaning devices, each fluid-connected to a respective output connection via a fluid line, and a control device, which is data-coupled to the fluid conveying device, the pressure sensor and the fluid distribution device for transmitting and / or receiving signals, the method achieving simplified control of the cleaning system and a reduction in the susceptibility of the cleaning system to errors.

The invention discloses a glass limit cold bending electric loading device and a loading test method, and relates to the technical field of glass cold bending test.The glass limit cold bending electric loading device comprises a welding seat body and an extension loading device, a nut lifting type lifter is arranged in the lower end of the welding seat body, the front side of the nut lifting type lifter is connected with a supporting plate, and the left and right positions of the rear end of the supporting plate are connected with linear rails; a lead screw motor is arranged at the top of the welding seat body and connected with a lead screw, a pressure sensor is arranged at the bottom of the lead screw, the lower end of the pressure sensor is in threaded butt joint with a spherical hinge, and the bottom of the spherical hinge is connected with a loading pressure head; the extension loading device is introduced and matched with the loading pressure head to form a multi-loading-point structure, so that the cold bending loading test is more stable, and meanwhile, the position of an auxiliary loading point and the size of the auxiliary loading point can be flexibly adjusted through the combination of the adjusting assembly and the extension assembly, so that the cold bending loading test of the glass plate is more efficient and more stable.

The invention relates to the technical field of welding automation, in particular to a quality sensing intelligent welding wire allowance monitoring system and method. According to the system, the total mass is detected in real time through a mass detection mechanism comprising a welding wire storage device, a weighing body and a plurality of force sensors, the mass of the remaining welding wires is accurately calculated through a controller according to pre-stored self-weight parameters, and then the remaining length is converted through welding wire specification parameters. According to the method, self-adaptive threshold early warning is achieved by comparing the remaining length with the required length calculated according to the next welding parameters, and the welding sequence can be automatically adjusted to optimize production. According to the method, the problems of interruption risk and resource waste caused by the fact that the allowance cannot be accurately measured due to the fact that the dead weight of the welding wire barrel is too large and estimation depends on experience in a traditional method are solved, real-time accurate monitoring of the allowance of the welding wire is achieved, welding continuity of important structural parts is guaranteed, material waste is remarkably reduced, and production efficiency is improved.

The invention provides a rapid assembly system and method for in-cabin parts of cylindrical products, and the system is characterized in that a mechanical arm is fixedly mounted through a base, the tail end of the mechanical arm is sequentially provided with a six-dimensional force sensor and a tail end execution device, and the tail end execution device is used for grabbing the to-be-assembled parts and carrying the to-be-assembled parts to a mounting position in a cylindrical section along a preset path; the six-dimensional force sensor is used for acquiring contact force and torque on a tail end load and an assembly path so as to judge the state of the assembly path; the assembly platform is used for supporting and flexibly clamping a cylinder section product, the light source equipment and the binocular vision camera form an image acquisition system, and the binocular vision camera is used for acquiring pose and mark point coordinate information of a cylinder section. According to the method, the problems that during existing automatic assembly, multi-batch and multi-state real-time posture positioning is tedious, coaxial assembly of components in a barrel-section-shaped product cabin is difficult to guarantee, and extrusion collision damage is caused in the assembly process are solved, the operation difficulty and risk are reduced, and the system assembly flexibility is improved.

Systems and techniques are described for determining at least one of a translational force or a rotational force applied by a dental appliance to a tooth or teeth of a patient. A system includes model teeth configured to represent a portion of a dental arch and receive a dental appliance, a post extending from a first end coupled to a respective tooth to a second end coupled to a base, at least one strain gauge integrally formed on a surface of the post between the first end and the second end, and processor communicatively coupled to the at least one strain gauge and configured to determine at least one of a translational force or a rotational force applied by the dental appliance to the respective tooth.

The invention relates to the field of tension and pressure sensors, in particular to a tension and pressure sensor with a compensation function, which comprises an elastic body, a strain gauge, a compensation gauge and a wiring terminal, the strain gauge and the compensation gauge are respectively arranged on the surface of the elastic body, the strain gauge, the compensation gauge and the wiring terminal are electrically connected through a plurality of high-temperature-resistant cables to form a bridge circuit, at least the strain gauge and the compensation gauge are respectively limited in the first heat insulation layer and the protection layer, and the first heat insulation layer is located between the elastic body and the protection layer. At least a first heat insulation layer used for protection, heat insulation, pressure resistance and sealing is used for wrapping a strain gauge and a compensating gauge which are packaged by a polyimide film and can resist the high temperature of 260 DEG C, so that the actual temperature of the strain gauge and the compensating gauge has a remarkable temperature difference with the current environment temperature; the actual temperature of the strain gauge and the compensating gauge is obviously lower than the environment temperature, so that the strain gauge and the compensating gauge are respectively in an ideal temperature range, and the force measurement precision of the pull pressure sensor is ensured.

The invention provides an MEMS pressure sensor and a manufacturing method thereof, and an electronic device, and the method comprises the steps: providing a first substrate, forming at least two first pressure structures on the surface of the first substrate, each first pressure structure comprises a first electrode layer, a first sacrificial layer, a first supporting layer, a second electrode layer, a second supporting layer, and a first cavity, and a first release hole; a second substrate is provided, at least two second pressure structures are formed on the surface of the second substrate, and each second pressure structure comprises a third electrode layer, a second sacrificial layer and a second cavity; bonding the second supporting layer with the second sacrificial layer; the second substrate is removed to expose the third electrode layer, the third electrode layer and the second electrode layer form a variable capacitance structure, the second electrode layer and the first electrode layer form a reference capacitance structure, and the two variable capacitance structures and the two reference capacitance structures jointly form a Wheatstone bridge. According to the scheme, the measurement precision is improved, and the device performance is further improved.

The embodiment of the invention provides a collision detection method and equipment for a humanoid robot. The method comprises the steps that resultant force, collected by a force sensor, of the tail end of the mechanical arm is obtained, derivation is conducted on the resultant force in time, first force change rate data of the resultant force in a time domain are obtained, low-pass filtering is conducted on the first force change rate data based on a preset frequency threshold value, and second force change rate data of the resultant force in the time domain are obtained; the preset frequency threshold value is determined by converting historical force change rate data into data on a frequency domain, the historical force change rate data is obtained by deriving resultant force obtained in the operation process with collision on time, and a collision detection result is determined according to the second force change rate data and the preset threshold value. According to the method provided by the embodiment of the invention, the calculation process is simple and efficient, and the target object screening efficiency and accuracy are improved.

A hydraulic drive apparatus includes a hydraulic pump that discharges a working fluid; a flow dividing valve that divides a pump passage connected to the hydraulic pump into first and second passages, and changes an opening degree of each passage according to a signal that is input to the flow dividing valve; a travel system hydraulic circuit that is connected to the first passage and controls a flow of the working fluid to a travel motor; a loading system hydraulic circuit that is connected to the second passage and controls a flow of the working fluid to a loading actuator; a pressure sensor that detects a pressure supplied to the travel motor; and a control device that controls, by outputting the signal to the flow dividing valve, the opening degree of the first and second passages according to the pressure detected by the pressure sensor.

The invention relates to the field of ball screw nut pair transmission power and efficiency testing, in particular to a ball screw nut pair transmission power and efficiency testing device and method. The ball screw nut pair transmission power and efficiency testing device comprises a loading screw driving device, a load loading device, a load transmitting device, a to-be-tested nut clamping device, a to-be-tested screw driving device, a torque measuring and transmitting device and a displacement measuring device. The loading lead screw driving device is connected with the load loading device; the load loading device is connected with the load transmission device; the load transmission device comprises a first spherical hinge type floating joint, a second spherical hinge type floating joint, a floating joint connector, a floating joint connecting seat and a pressure sensor; the pressure sensor is connected with the to-be-tested nut clamping device; the to-be-measured lead screw driving device is connected with a to-be-measured lead screw through the torque measuring and transmitting device, and the to-be-measured lead screw is matched with a to-be-measured nut; and the displacement measuring device is used for measuring the displacement of the to-be-measured nut clamping device.