22 results about "Strain type" patented technology

The invention belongs to the technical field of multi-variable measurement, and particularly relates to a forklift structure health state assessment method and system. The method comprises the steps that a plurality of strain type force sensors are symmetrically installed on the root portion of a left pallet fork and the root portion of a right pallet fork of the forklift, and the strain type force sensors are used for collecting stress signals of the left pallet fork and the right pallet fork in the three-dimensional space in real time; the six-degree-of-freedom motion state data of the forklift are collected in real time through an inertia measurement unit installed on a forklift main body, and the six-degree-of-freedom motion state data comprise linear accelerations in three orthogonal axial directions and angular velocities around the three orthogonal axial directions. According to the system, a high-bandwidth strain sensing array is deployed at the root of a pallet fork, the six-degree-of-freedom motion state of the whole vehicle is synchronously obtained, a dynamic disturbing force online decoupling mechanism based on a rigid-flexible coupling dynamic model is constructed, and the dependence of a traditional weighing technology on a static working condition is fundamentally broken through.

The invention discloses an in-situ characterization method of graphite electrode microstructure stress in an electrochemical process. The in-situ characterization method comprises the following steps: measuring microstructure three-dimensional strain evolution information in situ by adopting a spectrum comprehensive technology; calculating modulus evolution of the typical lithium intercalation structure by adopting DFT (Discrete Fourier Transform); and establishing an electrochemical induced stress characterization model based on microstructure strain and modulus. The invention provides a novel electrochemical induced microstructure stress characterization method based on experiments, simulation and modeling, key factors such as microstructure anisotropy, strain types, modulus nonlinearity and the like are considered, the accuracy of mechanical description is ensured, and comprehensive characterization of microstructural mechanics is realized. Based on the provided microstructure stress characterization method, the important function of graphite electrode microstructural mechanics in the lithium storage process can be analyzed, meanwhile, the method can be further popularized to other layered electrode materials and sodium and potassium storage systems, and an important means is provided for mechanical-electrochemical coupling analysis.

The application relates to the technical field of sensor fault diagnosis, and specifically discloses a strain type six-dimensional force sensor fault diagnosis method. The method takes six measurement channels of a strain type six-dimensional force sensor as independent diagnosis objects, measures the load resistance value between lead wires in each Wheatstone full-bridge circuit, forms a resistance value combination code after normalization, matches a pre-built fault query table, quickly identifies and locates strain gauge short circuit and / or open circuit faults; when no hard fault is detected, voltage time sequence data of each measurement channel of the strain type six-dimensional force sensor under the action of load is collected and input into a trained one-dimensional residual convolutional neural network model, so that soft fault classification and identification are realized; and finally, the diagnosis results of the channels are summarized to obtain the fault state of the strain gauges of the strain type six-dimensional force sensor. The method can consider both the rapid positioning of hard faults and the high-precision identification of soft faults of the strain gauges of the strain type six-dimensional force sensor.

The application belongs to the technical field of strain type multi-dimensional force sensor, and discloses a six-dimensional force sensor with four L-shaped elastic beam structures and a strain gauge arrangement method, aiming to solve the core problems of strain dispersion, low sensitivity, serious inter-dimension coupling and large mechanical hysteresis of the existing six-dimensional force sensor. The elastic body is an integral structure, and the core includes an outer circular ring, a central loading platform and four L-shaped elastic beams connecting the two, the four L-shaped elastic beams are distributed at equal intervals of 90 degrees along the circumference of the outer circular ring, and the beam body is mainly subjected to directional bending deformation when loaded, so that a stable strain concentration area can be formed; 12 strain gauges are accurately attached to the maximum bending strain area of the beam body based on finite element simulation, and cooperate with the half-bridge double-working-piece Wheatstone bridge to realize six-dimensional force / torque measurement. The application can effectively reduce the inter-dimension coupling error and mechanical hysteresis, improve the measurement sensitivity and long-term stability, and is suitable for high-precision six-dimensional force measurement scenes such as industrial robot precision assembly, aerospace measurement and control, medical minimally invasive surgery and the like.

The utility model discloses a syringe sliding performance testing device, it includes: bottom plate, the left and right ends of bottom plate upper surface are fixedly connected with cylinder, baffle respectively, be provided with the pressing plate between cylinder and baffle, the upper surface of bottom plate is provided with the clamping groove, and the lower end of pressing plate is connected with the clamping groove, the upper surface of bottom plate is provided with the groove, when using device, the inner wall of groove, pressing plate, baffle all are contacted with the surface of syringe, and the output of cylinder is fixedly connected with strain type force sensor, and the inductive end of strain type force sensor is fixedly connected with the docking sleeve, and the side surface of strain type force sensor is fixedly connected with the reinforcing pipe, and the one end of reinforcing pipe away from strain type force sensor is fixedly connected with the power supply block, and the power cord of strain type force sensor passes through reinforcing pipe and is fixedly connected with power supply block. Through above -mentioned structure, improve the convenience of replacing syringe, improve the overall efficiency of syringe sliding property test work.

The utility model discloses a strain type gamepad key which comprises a key cap, a key arranged on the bottom side of the key cap and a strain gauge device arranged on the periphery of the key. The strain gauge device comprises a strain gauge substrate and a strain gauge, when the key is normally and vertically pressed down to touch the original key and swings obliquely, the bottom edge of the key presses the strain gauge substrate to change the resistance value of the strain gauge, and the action and posture of the key are detected by measuring the resistance change. The strain gauge substrate adopts an annular design, the strain gauges are uniformly distributed, and generally, four or eight strain gauges are arranged to realize all-directional swinging. The strain gauges are electrically connected with the control circuit, the control circuit controls roles or elements in the game to execute additional actions according to resistance changes, the control function of a single key is enriched, and game interactivity is improved.

The invention provides a support demand evaluation method considering deep tunnel strain type rockburst space partition, and is used for designing a set of strain type rockburst energy numerical calculation framework considering fractured rock geometric dimensions for a research target of a block model representing an engineering scale rock evolutionary process from a continuous medium to a discontinuous medium evolutionary process. A broken block model based on a finite element-discrete element coupling numerical method is specifically configured, so that the rock evolution process in the hard rock excavation process is accurately represented from the physical mechanism, the law of conservation of energy is considered theoretically, and deep tunnel strain type rockburst partition support demand evaluation is achieved.

The utility model relates to the technical field of elastomer labeling, in particular to a visual automatic labeling device for a strain type weighing sensor elastomer. The utility model provides the visual automatic labeling device for the elastic body of the strain type weighing sensor, which can detect whether the elastic body on the tool disc is missing or not and avoid empty labeling of a label. A strain type weighing sensor elastomer visual automatic labeling device comprises an equipment body, a conveying frame, a motor and the like, the conveying frame is connected to the upper side of the middle of the equipment body, and the motor is connected to the front side of the left portion of the conveying frame. The tool disc is placed on the placing frame, the weight of the tool disc is detected by the gravity sensor, when the weight of the tool disc is detected to be abnormal, the number of the elastic bodies placed on the tool disc is incorrect, and the effects that whether the elastic bodies on the tool disc are missing or not can be detected, and empty labeling of labels is avoided are achieved.

The utility model discloses a strain type narrow strip sensor which comprises a force transmission device, the force transmission device comprises an elastic plate and a force transmission column arranged in the middle of the elastic plate, the bottom end of the elastic plate is recessed upwards to form a containing groove, the force transmission column is cylindrical, and the top end of the force transmission column extends upwards to be higher than the top face of the elastic plate. A strain area is arranged in the accommodating groove, at least two strain gauges are attached in the strain area, and the strain gauges are electrically connected; according to the strain type narrow strip sensor, the stress plate and the force transmission column are arranged in a split manner, so that the manufacturing difficulty and cost of the strain type narrow strip sensor are reduced; meanwhile, the force transmission column extending to be higher than the top end of the elastic plate can increase or decrease the height of the strain type narrow strip sensor by increasing or cutting off the force transmission column according to the height requirement of the strain type narrow strip sensor in use.

The martensitic stainless steel comprises the following components in percentage by mass: 0.04 to 0.05 percent of C, less than or equal to 0.5 percent of Si, less than or equal to 0.5 percent of Mn, less than or equal to 0.02 percent of P, less than or equal to 0.01 percent of S, 15.0 to 15.5 percent of Cr, 3.0 to 5.0 percent of Ni, 3.0 to 4.0 percent of Cu, 0.2 to 0.3 percent of Nb, 0.03 to 0.06 percent of N and the balance of Fe. According to the alloy prepared by optimizing alloy components and adopting the heat treatment method, the structure is mainly martensite, the content of ferrite and retained austenite is greatly reduced, the overall structure is stable, the strength, hardness and corrosion resistance of the alloy are improved, and the long-term service stability of the alloy is improved. The martensitic stainless steel is used for preparing a strain type force sensor, and the precision and stability of the strain type force sensor can be remarkably improved.

The invention discloses a bacillus plant type rapid identification method based on Raman spectrum and deep learning, and relates to the technical field of microbiological detection.The method comprises the steps that Raman spectrum data of bacillus to be detected are obtained, and the Raman spectrum data are collected in a Raman spectrum fingerprint section and subjected to standardized preprocessing; then, the Raman spectrum data are input into a trained RamanFormer model, a plant type prediction result is obtained, and the RamanFormer model is obtained through training of a training set containing the Raman spectrum data of various known plant type bacillus and corresponding plant type labels; and finally, outputting a plant type identification result of the bacillus to be detected. According to the method, the Raman spectrum fingerprint region data of the bacillus is collected and subjected to standardized treatment, the plant type specific characteristics are extracted by utilizing the RamanFormer model, and classification is completed, so that the technical problem that the traditional bacillus plant type identification method is low in related plant type distinguishing accuracy is solved, and rapid and accurate identification of the bacillus related plant types is realized.

The invention discloses an occurrence section and grade early warning method for strain type rockburst of different open type TBM sections of a tunnel, and relates to the technical field of rockburst risk early warning. Comprising the following steps: dividing an unexcavated area in front of a tunnel face into early warning units along a tunnel axis; microseismic monitoring information in the early warning unit is collected and processed; the proportion of the shear fracture number before excavation of the early warning unit is calculated, and whether the potential rockburst type in the early warning unit is strain type rockburst or not is judged; calculating a compression energy-depth index, micro-seismic activity intensity and the maximum change amplitude of the micro-seismic activity intensity in the early warning unit in the excavation process; the occurrence section of the strain type rockburst is judged and identified; early warning indexes of strain type rockburst of different open-type sections of the tunnel are obtained, and a case sample library of strain type rockburst of different sections is established; intelligent early warning models of strain type rockburst of different sections are established; and calculating an early warning index in the early warning unit, and obtaining an early warning rockburst grade. According to the method, the occurrence section of strain type rockburst of the open-type TBM tunnel is identified.

The utility model relates to the technical field of power transmission tower, concretely is a kind of tension type power transmission tower buffer connecting device, including installation base, the upside of installation base is sequentially provided with first connecting plate, second connecting plate and third connecting plate, and buffer assembly is arranged between installation base, first connecting plate, second connecting plate and third connecting plate, buffer assembly includes disc spring, first bidirectional hydraulic damper, first push plate, first fixed plate, second bidirectional hydraulic damper, second push plate and second fixed plate, and the upper surface of third connecting plate is fixedly connected with fixed clamp;Through the buffer of two groups of bidirectional hydraulic damper to lateral and longitudinal swing, disc spring is buffered to vertical vibration, and three-way independent buffering design effectively improves the energy absorption efficiency, to effectively improve the buffer performance to wind pressure, improve the security of fixed clamp, to avoid line fracture, improve the security of circuit transmission.

The invention discloses a strain type pressure sensor, and relates to the technical field of sensors. The strain-type pressure sensor includes: a base diaphragm; the strain gauge is fixed on the substrate diaphragm and comprises a Wheatstone bridge formed by four bridge arm resistors; the four bridge arm resistors are intensively arranged in the same target area on the substrate diaphragm; the target area is an area in which the normal stress difference between two mutually vertical directions of the surface reaches the maximum when the substrate diaphragm is stressed; the pressure-sensitive directions of two of the four bridge arm resistors are along a first direction, and the pressure-sensitive directions of the other two bridge arm resistors are along a second direction perpendicular to the first direction. According to the invention, the overall size of the strain gauge can be effectively reduced while the measurement sensitivity of the sensor is remarkably improved.

The application relates to a self-diagnosis system and method of a strain type torque angle sensor, and the system comprises a signal acquisition module for acquiring original sine and cosine signals of the torque angle sensor; a core self-diagnosis module for performing multi-dimensional fault diagnosis, wherein a dynamic trajectory diagnosis unit detects nonlinear distortion and sticking by analyzing the deviation of the trajectory of the signal in a coordinate system from a standard circle, a health degree evaluation unit calculates a health index and predicts a remaining life based on historical data, and a fault tracing unit distinguishes between a sensor self-fault and an external mechanical fault through active testing and cross verification; and a decision and output module outputs sensor data and a health state word after diagnosis and verification. Thus, the problems of single diagnosis dimension, lack of predictive maintenance capability and insufficient fault tracing capability of the torque angle sensor in the related art are solved, the diagnosis coverage and accuracy of the torque angle sensor are improved, and the safety performance of an automobile is ensured.

A high-precision sliding groove weight checking scale comprises a control cabinet, a mounting base, a strain type weighing sensor and a weighing sliding groove, the weighing sliding groove is connected with the bearing end of the strain type weighing sensor located below the weighing sliding groove, the fixed end of the strain type weighing sensor is connected with a mounting bottom plate located below the strain type weighing sensor, and the strain type weighing sensor is electrically connected with the control cabinet. The weighing chute is a long-strip linear smooth chute body, the strain type weighing sensor is used for compensation, the weighing chute is used for compensation, and the weighing chute is connected with the bearing end of the strain type weighing sensor which is located below the weighing chute and is used for compensation. The fixed ends of the strain type weighing sensors for compensation are connected with the mounting bottom plate positioned below the strain type weighing sensors, the strain type weighing sensors for compensation are electrically connected with the control cabinet, and the strain type weighing sensors for compensation and the strain type weighing sensors for compensation are arranged in a close-range, side-by-side and parallel manner; and the weighing chute for compensation and the weighing chute for compensation are also arranged in a close distance, side by side and in parallel.

The invention relates to a self-diagnosis system and method for a strain type torque angle sensor. The system comprises a signal acquisition module for acquiring original sine and cosine signals of the torque angle sensor; the core self-diagnosis module is used for carrying out multi-dimensional fault diagnosis, a dynamic track diagnosis unit detects nonlinear distortion and clamping stagnation by analyzing deviation between a track of a signal in a coordinate system and a standard circle, a health degree evaluation unit calculates a health index based on historical data and predicts residual life, and the core self-diagnosis module is used for carrying out multi-dimensional fault diagnosis. The fault traceability unit distinguishes a sensor fault from an external mechanical fault through active testing and cross validation; and the decision and output module outputs the diagnosed and verified sensor data and health status words. Therefore, the problems of single diagnosis dimension, lack of predictive maintenance capability, insufficient fault traceability and the like of the torque angle sensor in related technologies are solved, the diagnosis coverage rate and accuracy of the torque angle sensor are improved, and the safety performance of an automobile is guaranteed.

The strain type tension sensor comprises a box body, an opening is arranged in the middle of the upper part of the box body, a connecting hole is arranged outside the box body on one side of the opening, and an outer wheel group is arranged on one side of the box body facing the opening; the sensing assembly is arranged in the box body and comprises a supporting plate, an inner wheel set rotationally mounted above the supporting plate, and a resistance type strain gauge mounted on the supporting plate; the first auxiliary wheel, the third auxiliary wheel and the second auxiliary wheel are arranged and matched with the induction rope, on one hand, the buffering effect is achieved, tiny triggering is avoided, mistaken touch recognition such as recognition of small objects such as light birds is reduced, and the recognition accuracy is improved. When the motor guide rod retracts, the support plate is driven to descend, and the third auxiliary wheel drags more induction ropes into the box body, so that the length of the external induction rope is shortened, and the tensioning strength of the induction rope is enhanced.

The invention belongs to the technical field of nano wave-absorbing materials, and particularly relates to a wave-absorbing material based on interface strain control and a preparation method and application thereof. According to the method, the reaction conditions in synthesis of the sulfonic acid MOF are adjusted, and the preset compression strain or tensile strain is introduced into the sulfonic acid MOF, so that a foundation is laid for the strain state at the interface of TMS and C in a subsequent composite material. The strain type at the interface of the TMS and the C is regulated and controlled to realize redistribution of charges at the interface, so that the interface polarization is enhanced, and the electromagnetic wave absorption performance is further improved. The TMS / C wave-absorbing material prepared on the basis of the thought shows excellent electromagnetic wave absorbing performance. The TMS / C has the characteristics of light weight, low cost and good wave-absorbing performance, and can be used as a wave-absorbing agent.

The utility model discloses a strain type narrow strip weighing sensor for a road, which comprises an elastic body, the elastic body comprises a stress plate, a force transmission column vertically connected to the lower end of the stress plate and an elastic plate arranged at one end of the force transmission column, the force transmission column is arranged at the center position of the elastic plate, and the elastic plate is arranged at the other end of the force transmission column. The two ends of the elastic plate extend downwards to form supporting parts, a containing groove is formed between the supporting parts, at least two strain areas are arranged in the containing groove, at least two strain gauges are attached to the strain areas, and the strain gauges are electrically connected through a cable to form a measuring circuit. According to the utility model, the measurement position of the strain gauge is changed from the force transmission column to the strain area arranged in the accommodating groove, so that a more accurate measurement effect is realized.

The invention discloses a calibration method of a strain type six-dimensional force sensor based on a physical information neural network, and belongs to the technical field of intelligent sensors. The calibration method comprises the following steps: acquiring sensor data; data preprocessing and physical prior information acquisition; constructing a calibration model by adopting a physical information neural network; training data construction and model training; calibrating and calibrating the sensor; and verifying, adjusting and optimizing the system. According to the invention, on the basis of fusion of physical prior information and the neural network, calibration of errors caused by inter-dimensional coupling of the six-dimensional force sensor is realized, and the method has the advantages of high calibration precision and strong adaptive ability, and meets calibration of strain type six-dimensional force sensors with different measuring ranges, precisions and application scenarios.