6854results about "Using mechanical means" patented technology

The present invention relates to a humidity sensor, and more particularly, to a resistance film-type real-time chromogenic humidity sensor produced with a polyelectrolyte thin film. The humidity sensor according to the present invention is a chromogenic hygrometer in which a polyelectrolyte nano thin film that absorbs moisture is formed on a reflective layer, and the nano thin film varies terms of color and electrical resistance as moisture is absorbed and the thickness varies. The hygrometer according to the present invention is a dual-function hygrometer, the color and resistance of which vary. Provided is the chromogenic hygrometer in which the sensor made using a PSS-b-PMB thin film varies in color between purple, blue, green, yellow, orange, and red according to humidity at a very high response speed of within one minute.

The invention relates to a dynamic adjust gyroscope life forecasting method based on gray model. By data collection of vibration effective value, random drift and environmental temperature parameter which are preprocessed using radial neural networks, influence of environmental temperature on vibration effective value and random drift is eliminated and random drift and effective value just related to time are obtained by subtracting drift constant value term, then trend term of vibration effective value and random drift are extracted by using wavelet transformation and gray model are built separately for their trend term. The smaller data in two values of life predicted of dynamic adjust gyroscope unless two predicted values exceeding performance parameter limitation when dynamic adjust gyroscope is considered losing effect. The invention uses performance parameter of life probative period of product to predict its life, showing discipline of performance parameter and life of dynamic adjust gyroscope. It is easy and convenient economical and reliable.

The invention discloses a zinc coating shedding performance detection method and system, particularly relates to the technical field of metal surface treatment quality detection, and is used for solving the problems of high misjudgment rate and insufficient detection precision caused by coating surface pseudo defect interference in the existing method. The method comprises the following steps: synchronously acquiring a multispectral reflection image and three-dimensional morphology data of the surface of a zinc coating through an industrial vision imaging device, extracting grain boundary distribution information based on multispectral data, and identifying radial pseudo defects in combination with a curvature manifold geodesic line energy gradient direction of the three-dimensional morphology; and further performing micro-crack topology analysis and grain boundary spatial correlation verification on the candidate region, eliminating texture interference and grain boundary overlapping regions, and finally outputting a high-confidence fall-off defect detection result, so that the identification capability of real defects under a complex galvanized surface is remarkably improved, and the method is suitable for automatic detection requirements of a high-speed continuous production line.

The invention relates to the field of chip packaging testing, in particular to a BGA chip packaging testing method. The method comprises the following steps: carrying out full-flow thermal imaging scanning on a BGA chip packaging process, carrying out space temperature gradient diffusion distribution analysis, and constructing a temperature diffusion distribution map of each region; according to the probe array, acoustic scanning is carried out on the BGA chip solder ball contact surface, abnormal frequency detection is carried out, and abnormal acoustic nodes are marked; performing transient temperature mutation detection and potential packaging defect positioning analysis on the temperature diffusion distribution map based on abnormal acoustic nodes, and extracting a potential packaging defect area; and carrying out multi-threshold micro-vibration excitation on the potential packaging defect area, carrying out comprehensive evaluation on the reliability of the defect area structure, and generating a reliability evaluation report of the solder ball contact surface structure. According to the invention, accurate packaging test failure prediction is realized, packaging process parameters are optimized, and chip packaging quality and stability are improved.

The invention provides a dynamic-fluid coupling effect induced earthquake simulation test device and a test method. The test device comprises a dynamic true triaxial electromagnetic Hopkinson bar system, a sealed loading system and a data monitoring and control system, wherein the dynamic true triaxial electromagnetic Hopkinson bar system is used for acting on a simulated fault sample and simulating a true triaxial stress state and multi-axis and multi-direction power disturbance of an underground fault; the sealed loading system is used for pressurizing and injecting fluid into the simulated fault sample and sealing the fluid under dynamic and static combined loading of the simulated fault sample; the sealed loading system is matched with the dynamic true triaxial electromagnetic Hopkinson bar system to load dynamic disturbance to a simulated fault sample containing fluid, simulate a fault stress state in an underground engineering project involving fluid activity and perform a dynamic-fluid coupling effect induced earthquake simulation test. According to the invention, the true triaxial stress state and the multi-axis and multi-direction power disturbance of the underground fluid-containing fault can be simulated.

The invention relates to the technical field of road surface detection, in particular to a road surface skid resistance detection system based on multi-feature fusion, which comprises the following steps: applying broadband sweep frequency excitation by using a frequency modulation vibration sensor, matching with the inherent frequency of road surface texture to generate local resonance, and collecting the temperature, humidity and rainfall of a road surface in real time; performing fast Fourier transform on the collected vibration signals to obtain a resonance response spectrum, extracting key parameters through Gaussian fitting, and fusing frequency domain, material and environment data to form a comprehensive feature set; the frequency domain features are converted into three-dimensional energy distribution of pavement microtextures, the actual contact area ratio is calculated according to the three-dimensional energy distribution, an environment temperature and humidity compensation factor is introduced, and a dynamic friction attenuation coefficient is calculated; and comparing the calculated dynamic friction attenuation coefficient with a third-level safety threshold, and outputting a corresponding anti-skid performance level. Multi-source data fusion enables a detection result to be more fit with an actual driving scene, and misjudgment caused by single data is avoided.

The invention discloses an intelligent detection method and system for adhesive force of an oil coating of a skylight aluminum rail, and relates to the technical field of coating detection. The method comprises the following steps: scanning a skylight aluminum rail to be detected to generate an aluminum rail surface 3D topological graph; performing multi-mode optical detection to obtain optical original detection data; the aluminum rail defect distribution topology is obtained through the defect identification marks; gridding oil coating adhesive force level detection is executed, and multi-level adhesive force defect distribution is output; fusing and analyzing the aluminum rail defect distribution topology and the multi-stage adhesive force defect distribution to obtain M comprehensive adhesive force defect characteristics; positioning a production deviation node sequence; and carrying out processing operation and maintenance intervention in the follow-up batch production process of the skylight aluminum rail. The technical problems that in the prior art, skylight aluminum rail oil coating adhesive force detection efficiency is low, and deviation links are difficult to trace are solved, the production deviation links are positioned by recognizing adhesive force defects of different levels, and the technical effect of improving the detection efficiency is achieved.

The invention provides a three-dimensional laser point cloud detection method and system for a tunnel water-endowed area lining wide and thick belt, and the method comprises the steps: detecting the tunnel water-endowed area lining wide and thick belt through a rolling ball method, scanning the tunnel point cloud through three-dimensional laser, and collecting the laser point cloud data of the tunnel water-endowed area lining wide and thick belt; establishing a high-fidelity tunnel twinborn model; simulating tunnel deformation conditions through finite elements, constructing a finite element simulation tunnel deformation analysis model, and outputting a tunnel deformation true value of the tunnel twinning model; building a tunnel simulation scanning virtual simulation platform according to the tunnel twinborn model and the laser scanning characteristic data; performing simulated three-dimensional laser scanning on the tunnel twin model in a virtual environment to obtain large sample detection data; training a deformation detection neural network model in an auxiliary manner according to the large sample detection data; performing tunnel point cloud registration through a neural network model; a tunnel section point cloud is obtained by fitting the central axis of the tunnel, and tunnel deformation analysis is carried out; and the tunnel deformation analysis processing accuracy is obviously improved.

The invention discloses a rubber product quality detection method and system, and relates to the related technical field of rubber quality detection.The method comprises the steps that rubber products are conveyed to a target detection table, and data acquisition of the rubber products is executed; inputting the wave impedance distribution data and the surface heat distribution gradient field into a defect causal atlas channel to execute phase inversion fusion processing, establishing a cross-modal coupling phase tensor, and identifying deep defect response characteristics by solving a phase difference matrix; activating a pressure spectrum sensing unit to apply control pressure, reading a local mechanical response spectrum, sending the local mechanical response spectrum to a cross-modal calibration layer, and executing joint error authentication; and performing quality detection report according to a self-calibration defect mapping result. The technical problems that in the prior art, multi-modal sensing data fusion efficiency is low, deep defects are difficult to comprehensively recognize, and consequently the quality detection precision and reliability of rubber products are insufficient are solved, and the technical effects that cross-modal cooperative detection is achieved, and the precision and reliability of defect recognition results are improved are achieved.

The invention discloses a multi-field coupled microwave deicing intelligent system and an energy efficiency dynamic regulation and control method, and relates to the field of material surface ice layer desorption behavior research and deicing technology experimental testing. In order to solve the technical defects in the prior art that the existing microwave deicing technology still has obvious defects in the aspects of power adjustability, field distribution uniformity, interface depth temperature measurement, real-time mechanical test and the like, the technical scheme provided by the invention is as follows: the microwave deicing device comprises a microwave box body which is a metal closed cavity and is provided with a waveguide interface; a stirrer is arranged inside; the refrigerating system is connected with the back surface of the bearing plate of the microwave box body; a pressure head at the tail end of the mechanical loading module applies thrust to the ice layer; the device and the method are used for realizing construction, microwave heating and real-time mechanical testing of a low-temperature icing environment on the same platform. The method can be applied to dynamic monitoring and research work in multi-physics coupling deicing scenes such as aviation, traffic and new energy.

The invention discloses a marine environment pile foundation damage identification method based on optical fiber distributed strain monitoring, and belongs to the technical field of structural health monitoring and ocean engineering. The marine environment pile foundation damage identification method comprises the steps that distributed optical fiber sensors are evenly distributed in the axial direction of a pile foundation and used for strain monitoring; acquiring strain response data of the pile foundation along the pile length under the action of the wave force load through a distributed optical fiber demodulator; identifying modal characteristic parameters of the pile foundation structure by applying a random subspace identification algorithm, wherein the modal characteristic parameters comprise modal frequency and modal shape; calculating modal strain energy based on the modal shape, and obtaining a modal strain energy distribution diagram; identifying a damage area, judging whether a set threshold value is exceeded or not by comparing the change of the modal strain energy between the monitoring state and the reference state, judging the damage, and obtaining a damage identification result. The method provided by the invention has the advantages of high spatial resolution, high recognition precision, good environmental adaptability, accurate positioning, high automation, wide applicability and the like.

The invention discloses a collapsible loess foundation deformation analysis system and method based on variable monitoring, and relates to the technical field of collapsible loess foundation deformation analys.The collapsible loess foundation deformation analysis method comprises the steps that a structural attenuation model is established, and the structural attenuation model establishes the relation between a structure degree index and compression structure yield stress; calculating a self-weight collapsibility coefficient of the loess under the saturated self-weight action by utilizing a compression curve and a structural attenuation model; monitoring a deformation correlation variable of the collapsible loess area in the foundation; and evaluating the self-weight collapsing deformation of the collapsible loess area in the foundation based on the deformation correlation variable and the self-weight collapsing coefficient. According to the method, the structure degree indexes are used for quantitatively describing the structure of the loess, and the indexes comprise the material composition of the loess and the structure characteristics of the loess of different deposition years. The relation between the yield stress of the structure and collapsing deformation is established, wherein the relation between the yield stress of the compression structure of the loess and the structure degree of the compression structure of the loess and the relation between the void ratio change and the compression stress in the loess compression deformation process are established.

The invention relates to the technical field of environmental pollution monitoring, in particular to an on-line environmental pollution monitoring method and system.The method comprises the steps that original acoustic signals of the inner side wall and the outer side wall of a curve are collected in real time in a high-risk monitoring area, propagation path compensation is conducted, and an inner side acoustic characteristic parameter set and an outer side acoustic characteristic parameter set are obtained; analyzing to obtain thickness values and adhesion strength values of biological membranes on the inner side and the outer side of the curve; inner and outer side falling risk factors are obtained through calculation, and a comprehensive falling risk value of the inner and outer side falling risk factors is calculated; when the comprehensive shedding risk value exceeds a preset shedding risk threshold value, generating biological membrane shedding risk early warning information; the monitoring problem of spatial distribution heterogeneity of the biological membrane at the pipe network bend is effectively solved, and accurate early warning of the falling risk of the biological membrane in the bend area is achieved.

The invention relates to the technical field of constructional engineering detection, and discloses a cast-in-place pile cross-hole CT detection method, system and equipment based on multi-wave integration, and the method comprises the steps: laying inspection holes, deploying a time-sharing excitation sensor, collecting multi-wave data, fusing the multi-wave data, correcting and compensating, and constructing a joint objective function to invert material parameters. A three-dimensional model is generated, defect space information is extracted, and hidden defect accurate detection is achieved; the system comprises a probe control module, a data acquisition module, a data processing module, a three-dimensional modeling module and a user interaction module. The device comprises an integrated probe device and a three-layer sensing structure from inside to outside. According to the method, anti-interference detection is achieved through multi-wave-type collaborative excitation and layered shielding probe design, and pile body defects are accurately positioned in combination with cross-wave-type data fusion processing and a self-adaptive inversion algorithm; defect space distribution is visually quantified based on dynamic threshold three-dimensional modeling, an integrated system adapts to a complex engineering environment, and the detection precision and efficiency of the cast-in-place pile are remarkably improved.

The invention provides a method for automatically centering and assembling a bearing on a long-axis part, and belongs to the technical field of bearing assembly.The method comprises the steps that position information of the long-axis part and the bearing is collected in real time through a binocular camera and a laser distance measuring sensor, a central line equation is calculated through the least square method, and position deviation is determined; a centering adjustment vector is generated to control a multi-degree-of-freedom precise attitude adjustment platform to perform preliminary adjustment, a mechanical arm is matched with high-precision laser ranging to perform precise centering, the centering process is modeled into a weighted undirected graph, an optimal adjustment path is solved, optimal press fitting parameters are calculated based on a bearing press fitting physical mechanics equation, and press fitting is performed. Meanwhile, the assembling process is monitored through a force sensor and a displacement sensor, an assembling quality evaluation matrix is constructed, finally, the assembling result is detected and evaluated, and high-precision automatic assembling of the long-axis part and the bearing is achieved.

The invention discloses a comprehensive detection method for detecting the quality of a traditional Chinese medicine capsule, and relates to the technical field of medicine quality detection.According to the method, the quality fluctuation of a shell can be effectively recognized by monitoring the elasticity modulus of the shell of the capsule in real time and constructing a variable coefficient; and secondly, further monitoring is carried out aiming at capsule filling types and density uniformity, so that the uniformity of medicine filling is ensured, the medicine effect fluctuation caused by non-uniform filling is avoided, and the release consistency of the medicine is improved. And then, based on dissolution rate gradient monitoring under different temperature and pH value conditions, the dissolution characteristics of the capsule in various environments can be comprehensively evaluated, so that the dissolution performance stability of the capsule is guaranteed. And finally, accurately calculating a dissolution stable factor by combining the detection of trace dissolution substances with a dissolution characteristic analysis model, and further optimizing the quality evaluation of the capsules by combining a dissolution rate change coefficient, thereby reducing unqualified batches caused by uneven dissolution.

The invention relates to the technical field of power pipeline maintenance, in particular to a self-adaptive power pipeline robot repairing method and system based on a defect database, and the method comprises the steps: obtaining power pipeline defect data in real time through a collection assembly, and extracting multi-dimensional defect feature parameters through the defect data; constructing an initial power pipeline defect model based on the multi-dimensional defect characteristic parameters and historical defect data, and performing similarity matching on real-time power pipeline defect data and data in the initial power pipeline defect model to obtain a power pipeline defect updating model; and after the repair is completed, the repair quality detection sensor comprehensively detects the repair area, and if the detection result is not ideal, the optimal repair strategy is regenerated by adopting a repair strategy adjustment algorithm based on the real-time power pipeline defect data. According to the method, through automatic defect identification and strategy generation and execution, the manual intervention requirement is remarkably reduced, and the repair efficiency is improved.

The invention provides a radial sliding bearing with a groove-type textured surface and a friction testing method thereof.The radial sliding bearing comprises a bearing, a journal, lubricating oil and surface textures, the lubricating oil is arranged between the inner surface of the bearing and the outer surface of the journal, and the surface textures are in a groove type and are evenly distributed on the inner surface of the bearing; the shaft neck rotates around the geometric center of the shaft neck, so that lubricating oil in a bearing gap generates a fluid dynamic pressure effect to balance an external load; the centerline of the journal is parallel to the centerline of the bearing, and the film thickness of the lubricating oil in the bearing clearance is symmetrically distributed about the centerline of the bearing. According to the radial sliding bearing with the groove type textured surface and the friction testing method of the radial sliding bearing, distribution parameters and shape parameters of the surface texture are optimally designed, so that the bearing with the textured surface can obtain a more remarkable secondary fluid dynamic pressure effect, and the tribological performance of a friction pair interface of the radial sliding bearing is improved.

The invention discloses an intelligent road surface recognition method based on force perception and image analysis. The method comprises the following steps: S1, acquiring image data and contact force data in the advancing process of a mobile robot; s2, inputting the image into a two-channel feature network, and extracting structural features and fuzzy region information; s3, processing through an unwrapping model to form an image semantic vector; s4, constructing a contact time sequence, extracting behavior characteristics, and generating a contact event code; s5, performing alignment and weighted fusion on the image semantic vector and the contact code, and outputting a combined pavement state vector; s6, inputting a trafficability scoring model, identifying a ground type and generating a trafficability score; and S7, transmitting the result to a navigation module for path planning and motion control. Visual and force sense information is combined, and the complex terrain recognition accuracy and the robot traffic capacity are improved.

A tape measure including an elongate tape blade is shown. The tape measure includes a protective bumper that extends below the tape opening. The bumper is shaped to allow the tape hook to pivot during drop or impact to reduce the impact force experienced by the tape hook.

The invention relates to the technical field of aero-engines, in particular to an aero-engine thermal barrier coating working condition simulation experiment system which comprises a high-temperature thermal cycle module, a high-speed airflow scouring module, a high-pressure loading module, an atmosphere control module and a data monitoring and collecting module. The high-temperature thermal cycle module is used for realizing rapid heating and cooling so as to simulate a thermal environment; the high-speed airflow scouring module is used for generating high-speed airflow to simulate gas scouring; the coating performance can be accurately evaluated through the multi-working-condition high-precision simulation capability, research and development personnel can be assisted to optimize components and structures, coating defects and weak points can be rapidly and accurately found through strict working condition simulation in the aspect of quality detection, the product quality is guaranteed, the defective rate is reduced, and the method has good application prospects from cost benefit consideration. The test frequency and the part replacement cost caused by the coating problem in engine research and development are reduced, the research and development period is shortened, the performance and reliability of the aero-engine are greatly improved, the development of the aerospace industry is powerfully promoted, and a solid foundation is laid for advanced engine research and development.

The invention provides an indoor crustal stress test device and method based on optical strain measurement, the test device comprises a stress simulation device, the stress simulation device can perform real three-dimensional crustal stress environment simulation on a test rock mass as far as possible; the drilling releasing device is provided with a hollow drill bit used for drilling the optical strain measurer installed in the test rock mass, and the drilling hole and the hollow drill bit are coaxially arranged. Thus, according to the method, pressure is applied to the test rock mass from multiple directions through the multiple hydraulic loading columns, the real three-dimensional crustal stress environment can be more accurately simulated, speckle image changes in the speckle coating can be continuously recorded in real time through the optical strain measurer, and hole wall strain data are obtained; and converting the strain data into stress by applying an elastic theoretical formula, and accurately calculating the stress state of the experimental rock mass.

The utility model discloses a tensile shear and stripping test piece sample preparation tool, which belongs to the field of adhesive detection and comprises a bottom plate, a tensile shear sample preparation component and a stripping sample preparation component, and the tensile shear sample preparation component and the stripping sample preparation component are arranged on the bottom plate. The tensile shear sample preparation assembly comprises a first test piece groove and a second test piece groove which are formed in the bottom plate, and the first test piece groove and the second test piece groove are formed in the first direction; the stripping sample preparation assembly comprises two guide stand columns arranged on the bottom plate, a plurality of pressing blocks are arranged between the two guide stand columns in a sliding mode in the second direction, and test piece mounting grooves are formed in the pressing blocks in the third direction; the first test piece groove and the second test piece groove are located between the two guide stand columns, the pressing block is located above the second test piece groove, and the first direction, the second direction and the third direction are perpendicular to one another. The device can be used for simultaneously preparing a tensile shear test piece and a stripping test piece, and the adhesive layer thicknesses of different adhesives can meet the standard requirements by adjusting the pressure.

The utility model discloses a soil moisture tensiometer, which belongs to the technical field of soil moisture tensiometers, and comprises a glass tube, a fixing component is arranged on the peripheral side of the bottom of the glass tube, a plug is arranged at the top end of a pressure monitoring device, a mounting sleeve is arranged below the plug, and the mounting sleeve is fixedly connected to the outer side of the top of the glass tube. A water supplementing and exhausting assembly is arranged on one side of the mounting sleeve. According to the water purifier, a worker manually presses a circular plate to drive a fixing rod and a piston to move, purified water stored in a fixing barrel is conveyed into a connecting block, and when the pressure of the connecting block is larger than the elastic force of a spring, water flow of the connecting block can drive a ball head block, a side block and a tooth block to move; at the moment, the liquid is conveyed into the glass tube through the stepped through hole and the one-way water inlet so as to perform water replenishing treatment on the interior of the glass tube, so that the mounting and dismounting work of the plug is reduced, the influence on the sealing performance of the plug after a long time is prevented, and the influence on the monitoring precision of a product is further prevented.

The invention discloses a preparation method of a breathable underwater self-adhesion myoelectricity sensing fabric. The preparation method comprises the following steps: step 1, preparing a G-PU material with high viscosity; step 2, preparing a high-elasticity breathable RGO coated fabric; step 3, preparing a G-PU / RGO myoelectricity fabric; the invention belongs to the technical field of application of graphene, polyurethane and wet adhesives, according to the method, graphene oxide and viscous waterborne polyurethane are adopted to prepare a water-resistant and acid-resistant RGO / G-PU composite material with excellent adhesive force through a two-step method, a sensing fabric is prepared through a coating process, the preparation process is simple, the production efficiency is high, and the application range is wide. The fabric has the advantages of self-adhesion, water resistance, acid resistance and the like, solves the problems that a common sensing fabric is low in adhesive force and not resistant to water, and particularly relates to a preparation method of a fabric capable of serving as a self-adhesion water-resistant sensing material for sensing human body actions and myoelectricity.

The invention discloses a detection device for detecting color fastness of fabrics, which relates to the technical field of color fastness detection, and comprises a cover plate; further comprising: a detection assembly is arranged on one side of the cover plate, and the detection assembly comprises a rotating rod, a reciprocating gear is arranged below the rotating rod, and a bidirectional threaded rod is fixedly connected to the middle of the bottom surface of the reciprocating gear; wherein, a threaded block is threadedly connected to the outer side of the lower end of the bidirectional threaded rod, a guide rod is fixedly connected to the outer side of the threaded block, and a lower lifting plate is rotatably connected to the outer side of the threaded block; wherein an upper lifting plate is arranged on the outer side of the upper end of the bidirectional threaded rod, and a knocking hammer is inserted in the middle of the upper lifting plate; wherein a differential assembly is arranged on the outer side of the upper lifting plate, and the knocking hammer is brought into contact with the top surface of the lower lifting plate through the contraction of the lower lifting plate and the upper lifting plate, so as to achieve the purpose of simulating the knocking and hammering washing process of fabrics during home laundry, thereby facilitating the improvement of the accuracy of color fastness detection of fabrics.

The invention provides a rock-soil body dynamic failure simulation method based on energy dissipation hot spots. The rock-soil body dynamic failure simulation method comprises the steps that a near-field dynamics and discrete element coupling model used for describing the mechanical state of particles under the earthquake action is constructed; calculating particle stress information; calculating the particle speed and displacement according to the particle stress information, and analyzing the damage process according to the energy dissipation hot spots to obtain a calculation result; and outputting a calculation result and drawing a cloud picture. According to the method, a near-field dynamics and discrete element coupling model is constructed for the slope instability phenomenon under the earthquake action and is applied to discrete element software, and a method for describing deformation and damage characteristics of a slope under earthquake disturbance is formed; according to the rock-soil body dynamic failure simulation method based on the energy dissipation hot spots, the shape and characteristics of the sliding surface are analyzed, the slope instability process under the earthquake load is reflected, the prediction precision and the sliding surface recognition accuracy are improved, and the rock-soil body dynamic failure simulation method has remarkable advantages in prediction of rock-soil body progressive failure and sudden landslide.

A testing device for a current-carrying friction and wear performance of a flexible rolling friction pair, including a base plate, supporting profiles, and guiding rail sliders, and a screw assembly, and a movable supporting plate, and a fixed supporting plate, and first bearing supports, and a slider supporting plate, during the testing process, friction moment and friction force of the flexible rolling electrical contact component can be obtained by monitoring dynamic torque of rotating wheel, which is wide applicability, which allows simultaneous online monitoring of multiple experimental variables such as friction performance, current-carrying capacity, preload, friction force, and temperature; and at the same time, there is no need to adjust, assemble, or test multiple objects for the rolling ring structure; the testing process can be completed by only adjusting and testing the key electrical contact test piece, significantly simplifying the testing structure and method while reducing testing costs.

The invention relates to the technical field of tensile tests, and discloses a building sealant stretching performance test device, which comprises a test box, a first clamp, a loading block, a linear driver and a driving mechanism, a door plate is mounted on the front of the test box; the first clamp is installed at the top in the test box, the loading block is arranged in the test box, located below the first clamp and driven by the linear driver to move up and down, a through loading channel is formed in the loading block, and a cylinder is arranged in the loading channel and driven by the driving mechanism to rotate; a through assembly channel is formed in the cylinder body, and a transversely-arranged guide rail body is installed in the assembly channel. According to the invention, by carrying out stretching, torsion, inclined stretching, tearing stretching, winding stretching and testing in a low-pressure environment on the sealant, the mechanical properties of the sealant under complex working conditions can be comprehensively evaluated, the testing precision and reliability are improved, the actual engineering requirements are met, and meanwhile, the testing safety and environmental protection property are ensured.

The invention discloses tendon rope transmission system performance integrated testing equipment and a transmission system testing method, and belongs to the technical field of robot part testing. The equipment comprises a rack and a performance testing device, wherein the performance testing device comprises a mounting plate provided with an arc-shaped guide rail chute, a core shaft used for simulating a bending radius, a position adjusting mechanism used for accurately positioning the core shaft and clamping a tendon rope jacket, at least one linear driving mechanism capable of adjusting an angle along the chute, and a counterweight mechanism. A clamp of the linear driving mechanism clamps one end of an inner core of the tendon rope, the counterweight mechanism is connected with the other end of the inner core, the middle part of the tendon rope bypasses the mandrel, and the reciprocating motion applied by the linear driving mechanism is matched with the constant tension applied by the counterweight mechanism so as to simulate the working condition of the tendon rope under a specific bending radius and angle.