621 results about "Strain sensor" patented technology

The invention belongs to the technical field of civil engineering monitoring, and discloses an optical fiber strain sensor performance verification method and system for highway infrastructure monitoring, and the method comprises the steps: analyzing the influence rule of the parameter change of a coupling layer on the strain transmission efficiency of a measured sensor based on a layered material coupling mechanical model; based on the three-dimensional entity numerical model, analyzing an influence rule of layout process parameters of the tested sensor on the strain transmissibility; verifying the performance of the sensor in a laboratory environment by using a reduced scale model; on a real highway infrastructure or a constructed full-scale model, the performance of the sensor on an actual structure is verified through monitoring data. According to the invention, by constructing an integrity performance verification system from a theoretical model to numerical simulation and then to a reduced scale model test and entity structure verification, multi-dimensional and progressive performance verification of the performance of the optical fiber strain sensor for highway infrastructure monitoring is realized.

The invention relates to a flexible strain sensor for ship cable safety monitoring and a preparation method and application thereof. The flexible strain sensor comprises a flexible substrate layer, a composite conductive sensitive layer and an environment protection packaging layer. The flexible substrate layer is an elastomer grid with a three-dimensional microstructure pattern and is used for bearing and transmitting mechanical stress. The composite conductive sensitive layer is attached to the surface of the three-dimensional microstructure of the flexible substrate layer and used for forming a conductive path changing along with deformation and converting mechanical deformation into a resistance signal. And the environment protection packaging layer coats the flexible substrate layer and the composite conductive sensitive layer, adopts an elastomer component which is homogeneous with the flexible substrate layer, and is used for forming an integrated sealing structure. Compared with the prior art, the problem that a traditional laminated structure is prone to stripping and losing efficacy in seawater is solved, and accurate and lag-free monitoring of the ship mooring rope tension force is achieved through modulus matching.

The invention discloses a bionic finger, a hand motion control device, a bionic hand control method and a robot, and belongs to the technical field of bionic robotics.The device comprises a plurality of flexible electric actuators which comprise electric actuating materials capable of actively deforming under excitation of an electric field; one end of the flexible electric actuator serves as a fixed end to be connected to the finger adaptation base, and the other end of the flexible electric actuator serves as a free end to be connected to the knuckle structure through a force transmission path. Wherein each flexible electric actuator can be independently controlled, and the plurality of flexible electric actuators cooperatively drive the knuckle structure to generate bionic motion; the passive constraint structure is configured to provide anisotropic mechanical constraint for active deformation of the flexible electric actuator, so that the active deformation is guided and converted into driving displacement or driving force in the first preset direction; and the guide structure is used for guiding the deformation direction of the flexible electric actuator. The device can integrate a strain sensor, an angle sensor and a touch sensor, and realizes closed-loop cooperative control through a controller.

The invention relates to the technical field of engineering performance intelligent detection, in particular to a concrete main tower circumferential prestressed reinforcement anti-cracking prediction method based on machine learning, which is characterized in that fiber grating strain sensors are arranged on the sections of main tower circumferential prestressed reinforcements, and strain data and environmental parameters in tensioning and operation stages are acquired; marking a cracking state to construct a sample data set; carrying out adaptive segmentation and abnormal value elimination operation on the strain sequence to realize data cleaning; constructing a cracking probability prediction model to process the cleaned data to obtain a cracking prediction probability; and calculating the total loss of the model, training the model, inputting newly collected data into the trained model, outputting a cracking prediction probability, and judging whether to carry out early warning or not. According to the method, online, real-time, intelligent and accurate prediction of the cracking risk of the circumferential prestressed steel bars of the concrete main tower can be realized, the monitoring false alarm rate is effectively reduced, and reliable technical support is provided for bridge operation maintenance and safety management and control.

A sensor device (3) for detecting strains in a linear infrastructure component (12), in particular a track rail, comprises a first sensor unit (16, 16') with a first support (28) and at least one strain sensor mounted on the first support (28) for detecting a strain at the first measuring point (19), a second sensor unit (17) with a second support (29) and at least one strain sensor mounted on the second support (29) for detecting a strain at the second measuring point (20), a coupling means (18) connected to the first support (28) and the second support (29) for defining a measuring distance (d) between the first measuring point (19) and the second measuring point (20) along a longitudinal direction (21) of the linear infrastructure component (12), a measuring arrangement (19) with the sensor device (3), a method, and an application device for applying the sensor device (3).

The invention relates to the technical field of film strain, in particular to a preparation and installation method of a film strain sensor and a harmonic reducer. The preparation and installation method comprises the steps that the surface of a workpiece to be installed is coated with a polyamide acid solution, then heating is conducted, and polyamide acid is subjected to dehydration cyclization to form a polyimide film attached to the surface of the workpiece to be installed; and then, forming a laser-induced graphene electrode pattern on the polyimide film. The harmonic reducer comprises a wave generator, a rigid gear, a flexible gear and a thin film strain sensor, the flexible gear is connected into the rigid gear in a toothed mode, and the wave generator is arranged in the flexible gear; the film strain sensor comprises a strain film and a graphene electrode, the graphene electrode is formed on the strain film, and the strain film is in direct contact connection with the surface of the flexible gear. Through the film strain sensor adhered to the surface of the workpiece to be installed, in-situ torque detection can be achieved, measurement errors, hysteresis, instability and the like caused by a glue joint layer are avoided, and measurement is more accurate.

The utility model discloses a dynamic signal acquisition circuit based on an FPGA kernel, and belongs to the technical field of signal acquisition. Comprising a field programmable gate array (FPGA) which is connected with a first synchronous dynamic random access memory (SDRAM), an ARM processor and a plurality of analog-to-digital converters (ADC). The input end of the analog-to-digital converter ADC is connected with the output end of the signal conditioning board; the input end of the signal conditioning board is connected with the dynamic acceleration sensor, the strain sensor and the displacement sensor and receives signals output by the sensors; the ARM processor is connected with a nonvolatile storage device FLASH and a second synchronous dynamic random access memory SDRAM; and the field programmable gate array FPGA is used for filtering and converting the acquired data and transmitting the data to the ARM processor. According to the utility model, synchronous acquisition, synchronous processing, synchronous analysis and synchronous transmission can be realized; the signal conditioning circuit adopts a modular design and can be compatible with sensors of various dynamic signals.

The invention discloses a strain sensor layout optimization method based on proxy model assistance, and the method comprises the steps: carrying out the finite element simulation of underwater equipment, and constructing a simulation strain field data set of the surface of the underwater equipment; dividing the underwater equipment into different candidate areas, wherein candidate measurement points are distributed in each candidate area; converting a strain sensor layout problem into an optimization problem of determining a candidate measurement point from each candidate region, thereby constructing a design space of the optimization problem; modeling is carried out on the optimization problem; in the optimization model, using a root-mean-square error between a simulation strain field and an interpolation strain field obtained by interpolation reconstruction as a real fitness function; and solving the optimization problem based on an SO-I algorithm to obtain an optimal strain sensor layout scheme. According to the method, the problem of layout optimization of the complex-structure strain sensors of underwater equipment is solved, and maximization of a coverage area with the minimum number of strain sensors is realized.

The invention discloses a tower crane bolt axial force intelligent ultrasonic detection method and system based on multi-modal data fusion. Firstly, a multi-stage influence factor system is constructed based on a fuzzy hierarchical comprehensive evaluation theory, and a high-risk region identification model is established; and calculating a regional risk value based on the model, and determining a monitoring point distribution scheme. A heterogeneous network composed of a fiber grating strain sensor and an ultrasonic sensor is arranged in a selected area, and strain and ultrasonic data are synchronously collected. And inputting the multi-modal data into a deep belief network for feature fusion, and realizing health state dynamic evaluation through a fuzzy recognition model. And based on an evaluation result, performing fatigue life prediction by adopting an improved rain flow counting method and an accumulative damage theory. And finally, data fusion display and intelligent early warning are realized through the remote monitoring platform. According to the invention, full-chain intelligent health management from risk identification, real-time monitoring to life prediction is realized.

The invention discloses a bridge web shear distribution ratio monitoring method and system based on multi-section collaboration, and relates to the technical field of bridge monitoring, a theoretical model of a bridge is constructed to obtain theoretical shear distribution data, a theoretical shear characteristic flow of the theoretical shear distribution data is extracted, and a theoretical gear of each section is generated based on the theoretical shear characteristic flow; arranging a strain sensor network on a plurality of key sections of the bridge to obtain real shear distribution data of the sections; extracting a real shearing force characteristic flow of the real shearing force distribution data, and generating a dynamic real gear based on the real shearing force characteristic flow; a full-bridge gear transmission chain is generated through the virtual transmission shaft, and the load serves as input torque to drive the full-bridge gear transmission chain; the meshing state of a full-bridge gear transmission chain is monitored in real time, and the shearing force distribution ratio of a bridge web is calculated by analyzing operation data between gears; by means of the theoretical gear and the dynamic reality gear, real-time and dynamic intelligent monitoring of the web shearing force distribution ratio is achieved.

The invention relates to a fiber bragg grating strain sensor and a preparation method thereof. The method comprises the following steps: providing a metal substrate of which the surface is provided with a strain groove for accommodating a fiber bragg grating; placing a fiber bragg grating in the strain groove, and applying pre-strain to the fiber bragg grating; covering a packaging material on the strain groove area provided with the fiber bragg grating, wherein the packaging material comprises a mixture of metal powder and glass powder; and sintering the substrate covered with the packaging material to melt the glass powder and bond and solidify the metal powder to form a composite packaging body for packaging and fixing the fiber grating in the strain groove. According to the invention, the interface thermal stress caused by the difference of thermal expansion coefficients of materials is reduced, the temperature cross sensitivity of the sensor is effectively inhibited, and the strain measurement precision and long-term stability of the sensor in a wide temperature range are improved.

The application provides a temperature self-compensation strain sensor sensitive layer composite material and a preparation method thereof, and belongs to the technical field of functional materials. The composite material is prepared from raw materials including the following mass percentages: metal nanoparticles 25-35%, insulating oxide nanoparticles 2-3%, dispersing agent 0.1-0.5%, and the balance solvent; the metal nanoparticles have a positive temperature coefficient of resistance; and the insulating oxide nanoparticles include aluminum oxide nanoparticles, silicon oxide nanoparticles, zirconium oxide nanoparticles or chromium oxide nanoparticles. The composite material provided by the application can be used as a sensitive layer of a temperature self-compensation strain sensor, can avoid strain signal disturbance caused by environmental temperature changes, can make the strain sensor have a temperature self-compensation function, and can further simplify the system of the strain sensor without using an external circuit and without changing the size and structure of the strain sensor.

The invention relates to the technical field of flexible electronic sensors, in particular to a large-strain interdigital capacitive sensor based on liquid metal conductive paste, which comprises a flexible substrate, and the flexible substrate comprises a bottom packaging layer and a top packaging layer integrally connected to the upper surface of the bottom packaging layer. A liquid metal interdigital electrode is embedded between the bottom packaging layer and the top packaging layer, the liquid metal interdigital electrode is formed after liquid metal conductive paste is subjected to laser ablation patterning, the end of the liquid metal interdigital electrode is connected with a flexible wire, and one end of the flexible wire extends to the outside of the flexible substrate; the liquid metal conductive slurry is paste conductive slurry which is rich in oxide and is formed by mechanically stirring and oxidizing liquid metal; the liquid metal is gallium-based liquid metal; the problems that an existing flexible strain sensor cannot meet the large strain measurement requirement and is poor in stability and complex in preparation process are solved.

A method for monitoring the integrity of a railway system (2) comprises the steps of: acquiring measurement signals from multiple strain sensors (21) on a track rail (6) of the railway system (2); determining the integrity of at least one component (5, 6, 7, 9) of the railway system (2) based on the measurement signals, wherein the multiple strain sensors (21) are components of a linear detection device (19) attached to the track rail (6) and extend over a measuring section (31) along the track rail (6) with a length (L) of at least 100 m; and wherein the integrity is determined by means of an electronic evaluation unit (20) which is in signal communication with the multiple strain sensors (21), in particular at least 100 of the strain sensors (21), for receiving the measurement signals. A monitoring device (1) for monitoring the integrity of the railway system (2).

The invention relates to the field of flexible strain sensors, and particularly discloses an all-cotton-based laser-induced graphene strain sensor based on a stress concentration effect, the all-cotton-based laser-induced graphene strain sensor comprises an all-cotton spunlace non-woven fabric substrate and a micropore array arranged on the all-cotton spunlace non-woven fabric substrate, and the micropore array is used for generating the stress concentration effect at the micropore edge when being stressed; a graphene conducting layer is formed on the surface of an all-cotton spunlace non-woven fabric substrate containing a micropore array through laser induction, and the graphene conducting layer covers the edges of micropores and has a directional microcrack structure due to the stress concentration effect; the electrodes are arranged at the two ends of the graphene conducting layer. The stress concentration effect is generated by geometric mutation of the hole edge, so that formation and expansion of microcracks of the graphene layer are directionally regulated and controlled, and the sensitivity of the sensor is greatly improved while the biocompatibility, the degradability and the comfort of the all-cotton substrate are kept.

This invention discloses an FBG strain sensor based on misaligned fusion spliced ​​coreless optical fiber and its fabrication method. The sensor comprises an input single-mode fiber, multiple segments of coreless optical fiber, and an output single-mode fiber connected sequentially. The input single-mode fiber is fused together with the first segment of the coreless fiber in a misaligned manner, and the next segment of the coreless fiber is fused together with the previous segment in a misaligned manner, with the misalignment direction of the next segment opposite to that of the previous segment, but the misalignment distance being the same. The output single-mode fiber and the last segment of the coreless fiber are fused together axially. The central axes of the input and output single-mode fibers are collinear, and the cores of the input and output single-mode fibers are connected by a photolithographically written straight waveguide. A fiber Bragg grating is then optically etched along the straight waveguide. This invention uses femtosecond lasers to fabricate the FBG on the misaligned fiber structure, increasing the structure's strain response and making the strain sensitivity of the FBG on this structure higher than that of an FBG fabricated on ordinary silica optical fiber.

The invention provides a hand multi-mode information sensing device and a robot humanoid skill learning method, and the device comprises a multi-mode touch sensor module which is used for sensing a hand multi-mode touch signal; the flexible strain sensor module is used for sensing a hand joint bending signal; the multi-modal motion capture module is used for sensing hand motion and posture signals, and the hand motion and posture signals comprise hand motion signals and / or hand posture signals; at least one of the hand multi-mode touch signals, the hand joint bending signals and the hand movement and posture signals forms hand multi-mode information representing gesture actions, hand movement and hand touch. According to the invention, sensing of hand multi-modal information in a hand operation process can be realized based on the hand multi-modal information sensing device, establishment of a sensing strategy and a control strategy is facilitated, cross-object and cross-task robust skill migration is realized, and self-adaptive operation capability and task success rate of a robot in an actual complex environment are remarkably improved.

This invention provides a failure detection device and method for flexible support structures of photovoltaic panels in solar power plants, including strain sensors, a signal processing unit, a control unit, a communication unit, and an early warning unit deployed at the fastening end of the flexible cable. The method involves real-time acquisition of strain data through sensors, calculation of deflection values ​​based on a pre-established strain-deflection relationship model, and determination of whether the deflection continuously exceeds limits to identify whether the fastening end has failed. This invention achieves accurate monitoring of the flexible cable's condition through model-based analysis combined with real-time sensing; it introduces a false alarm prevention mechanism to effectively distinguish between normal wind vibration and structural failure; and it integrates remote communication, positioning, and protection functions, adapting to harsh outdoor environments and enabling unmanned, intelligent operation and maintenance, significantly improving the safety and operational efficiency of photovoltaic power plants.

The application belongs to the technical field of load identification of structural health monitoring, and provides a concentrated load positioning method based on principal stress constraint and strain gradient trajectory identification, which comprises the following steps: arranging strain sensors in a monitoring area of a planar structure plate and collecting strain data of measuring points, constructing a strain field inversion function based on a radial basis function and establishing an error optimization function containing a fitting error term and a smooth constraint, introducing a principal stress direction constraint and a gradient projection smooth constraint to form a comprehensive error function and solving to obtain an optimal strain field distribution, then calculating strain gradient vectors of each grid node and tracking a gradient trajectory through a gradient descent method, and finally performing an iterative clustering analysis based on distance statistics on a trajectory end point to output a cluster center as a concentrated load application position identification result. The application can improve the concentrated load positioning accuracy, enhance the anti-noise capability, and realize fast, stable and large-sample-free load position identification.

This invention relates to the field of tunnel construction technology, specifically to a method, medium, and equipment for judging and correcting abnormal strain signals in tunnel boring machines (TBMs). The method includes the following steps: simulating the mechanical response of the main drive structure under theoretically rated external load conditions; selecting strain measurement point locations based on the simulation results; deploying strain sensors at the selected locations on the actual TBM, and then performing threshold judgment on the strain signals collected by the strain sensors. If the signal of the strain measurement point channel exceeds the threshold, the channel is deemed to be faulty; if the signal of the strain measurement point channel does not exceed the threshold, a secondary judgment is performed using the same channel of its symmetrical measurement points; and a mapping model between equipment operating parameters and strain signals is established based on historical data from the strain measurement point channels. This invention avoids the interruption of operation of the digital twin system due to signal loss, greatly improving the system's continuous operation capability in harsh engineering environments.

The invention provides a post-retinal detachment reduction body position management method and system and wearable equipment, and relates to the technical field of medical monitoring. The method comprises the following steps: continuously acquiring head motion data through an inertial measurement unit integrated on head-mounted equipment, resolving the data through an embedded processor to obtain a real-time head posture angle, and comparing the real-time head posture angle with a preset rehabilitation position angle range to generate a posture comparison result; meanwhile, neck strain signals are collected through a flexible strain sensor array, and biomechanical characteristic signals are obtained through signal conditioning; and finally, the two types of data are fused, and a judgment result of the consistency of the overall body position of the user is generated through a classification algorithm, so that multi-modal data fusion analysis is realized, the postoperative body position state can be accurately monitored in real time, immediate feedback is provided, and the accuracy of body position management and patient compliance are effectively improved.

The invention discloses a scheme for realizing strain sensor performance modulation based on laser-induced programming, and belongs to the technical field of flexible electronic device preparation. According to the method, different laser etching schemes are used according to the actual requirements of different application scenes, a substrate is induced to generate a specific microstructure morphology, and the thickness gradient of a surface metal film grown through subsequent chemical plating is influenced through the microstructure morphology. And finally, the stress distribution of the metal film in the stretching process is influenced by the thickness gradient to generate different crack morphologies, and the characteristic adjustment of the resistance change of the sensor is realized through the regulation and control of the crack morphologies. According to the scheme for realizing strain sensor performance modulation based on laser-induced programming provided by the invention, the effect of regulating and controlling the performance of the sensor as required is realized by using different laser etching modes and material proportions.

Method for manufacturing a flexible strain sensor, comprising: Placing a flexible substrate on a movable stage in a working chamber, in which the movable stage, suitable for a desired movement according to a control signal, and a nozzle, suitable for spraying towards an upper surface of the movable stage, are installed, and with which a first pressure control unit, suitable for controlling an internal pressure of the working chamber, is combined; and preparing a printing material mixture, which comprises metal nanoparticles and carbon nanotubes (CNTs) in a powder form, which is to be introduced into a printing material tank, which is provided with an upper outlet that communicates with a nozzle via a first communication line, and a lower inlet, with which a second pressure control unit, suitable for controlling pressure, is combined. Control, by means of a control unit, a movement of the movable stage by providing a predetermined motion control signal to the movable stage in order to move the flexible substrate at a desired speed along a path which corresponds to a predetermined conductor pattern of a strain sensor, Forming a relatively low-pressure atmosphere within the working chamber by operating the first pressure control unit and simultaneously a relatively high-pressure atmosphere at a lower inlet of the pressure material tank by operating the second pressure control unit, In parallel with controlling the movement of the movable stage, the printing material mixture is forcibly transmitted in an aerosolized state through the first communication line from the printing material tank to be sprayed through the nozzle towards a surface of the flexible substrate by means of a compression wave, which is caused by a pressure difference between the low-pressure atmosphere and the high-pressure atmosphere. Direct printing of a predetermined conductor pattern of the strain sensor onto the flexible substrate by a process in which the printing material mixture, which is extruded through the nozzle, collides with the surface of the flexible substrate to create cracks on the surface, and the CNTs penetrate into the cracks and are mechanically anchored to the flexible substrate, and then the following metal nanoparticles and CNTs of the printing material mixture are deposited in a predetermined width and height on the surface of the flexible substrate. Connecting a first and a second lead wire, which extend electrically to protrude from the flexible substrate, to both ends of the predetermined conductor pattern of the strain sensor and Binding a flexible cover, which has the same size as the flexible substrate, to the surface of the flexible substrate on which the predetermined conductor pattern is printed, so that the predetermined conductor pattern is inserted between the flexible substrate and the flexible cover.

The utility model discloses a protective device for a fiber bragg grating rotating wheel strain sensor of a water-turbine generator set, which comprises a base and a waterproof cover, and a placing groove is arranged between the base and the waterproof cover for accommodating the strain sensor. The two ends of the waterproof cover are provided with optical cable holes and optical cable ends, and the adjacent optical cable holes are connected through optical cable protection tubes. The base comprises a fixed end and an inner boss, a sealing groove on the top surface of the fixed end is matched with a sealing ring, the connecting end is provided with an outer boss, the fixed end and the connecting end are connected through a fixed bolt and waterproof sealant, a sealing cavity filled with sealant is arranged in the waterproof cover, the threaded connection part of the optical cable protection tube is filled with sealant, and the waterproof cover is provided with a spiral drainage groove. The device has the advantages that the sealant is waterproof, the sensor is dry and the precision is improved; the convex surface end disperses impact force, the service life of the device is prolonged, and the protection effect of the device is improved; fixing bolts, sealants and counterbores are designed to enhance waterproofness; the spiral drainage grooves conform to water flow, and impact is reduced; the optical cable protection tube is connected in series to protect the sensor, the hose end is attached to the rotating wheel, and the tube fixing seat ensures that the optical cable is stable and well matched with the rotating wheel.

This invention discloses a gradient drainage and waterproofing synergistic irregular-shaped roof based on biomimetic principles and its construction method, belonging to the field of civil engineering technology. The invention includes an irregularly shaped curved roof and a roof frame. A skylight is opened in the center of the irregularly shaped curved roof, and an intelligent water collection component is installed. The intelligent water collection component includes a top plate, a water inlet cylinder, a movable turntable, and multiple opening and closing blades. The water inlet cylinder has a lateral water inlet, and the top plate has a top water inlet. The movable turntable is driven by a drive mechanism, causing the opening and closing blades and side plates to open and close synchronously. The irregularly shaped curved roof has a biomimetic layer with a surface featuring microscopic papillary structures and leaf vein guiding channels. Shape memory alloy driven intelligent sealing strips and air pressure driven hollow expansion sealing strips are respectively installed at the skylight and the connection seams between the roof and the frame, and fiber optic strain sensors are embedded. This invention achieves efficient drainage and reliable waterproofing of irregularly shaped roofs through biomimetic gradient drainage and waterproofing synergy, intelligent water collection, and dynamic adaptive sealing, significantly reducing the risk of leakage.

The utility model provides a shaft stress detection device for a servo motor of a sweeping vibration type electric toothbrush and the electric toothbrush using the shaft stress detection device. The shaft stress detection device comprises a servo motor module; the steel sheet is used for transmitting stress of the motor shaft; and a strain sensor chip. After the motor shaft is stressed, the motor shaft and the servo motor module generate displacement, and the displacement is synchronously transmitted to the first conduction part, so that the second conduction part generates elastic deformation detected by the sensor chip. According to the utility model, the L-shaped steel sheet is configured as a force transmission structure, the force transmission path of motor shaft stress detection is optimized, and the force applied to the toothbrush in the tooth brushing process is transmitted to the micro-deformation strain sensor for intelligently controlling the tooth brushing force.

This invention discloses a method and device for reconstructing the deformation of mesh antenna nodes, belonging to the field of spaceborne mesh antennas. Based on the geometric position and topological connection relationship of the mesh antenna, a mapping model between node displacement and cable element strain is established. RBF radial basis interpolation is introduced, and the displacement information of a small number of control points is used to characterize the deformation field of the entire reflector surface, establishing an explicit relationship between cable element strain and control point deformation. Singular value decomposition is performed on this mapping matrix to extract the dominant strain characteristics; then, combined with column-pivot QR decomposition, the most linearly independent cable elements with the most significant response to the dominant strain are automatically identified as the placement positions for strain sensors. This invention achieves high-precision reconstruction of mesh antenna node displacements with a limited number of sensors, effectively reducing the number of sensors required while ensuring reconstruction accuracy, thus solving the problems of large sensor count and high system complexity in on-orbit deformation monitoring of spaceborne mesh antennas.

The invention relates to the technical field of engineering structure health monitoring, in particular to an electric power engineering drainage box culvert monitoring system, a construction method and a monitoring method. The monitoring system comprises a monitoring element and a data processing unit; the monitoring element comprises a strain sensor and a temperature sensor which are arranged on the inner side of a reinforcement cage of the drainage box culvert; the static leveling instrument is arranged on the concrete surface of the drainage box culvert; the single-axis clinometers are arranged on the central axis of the top plate and the side wall of the drainage box culvert; the flow velocity sensor is fixed on the internal section of the drainage box culvert through a bracket; and the strain sensor, the temperature sensor, the static leveling instrument, the single-axis clinometer and the flow velocity sensor are all connected with the data processing unit. According to the system, the technical problems of discontinuous monitoring, incomplete parameters, weak data association and the like in long-term health monitoring of the large drainage box culvert are solved, and real-time and accurate evaluation and early warning of the safety state of the box culvert are realized.

The invention discloses a photodynamic therapy device and a control method thereof. The device comprises a supporting assembly, a monitoring assembly, a therapy execution assembly, a control module and a fixing part. Supporting legs are arranged on the lower side of a substrate of the supporting assembly, a strain sensor array is embedded in the substrate, and a light source array and a distance measuring sensor array are arranged on the lower side of the substrate. A control module is arranged on a shell of the supporting assembly and is in communication connection with the monitoring assembly and the treatment executing assembly, and the posture adjusting assembly is arranged on the upper side of the base, at least partially located in the shell and used for adjusting the injection position and the injection angle of an injection needle in the injection assembly. Adjusting a shooting position and a shooting angle of image acquisition equipment in the monitoring assembly; the injection assembly is arranged on the shell and comprises an injection needle penetrating through the shell and the base. When the device is applied, precise and automatic photosensitizer injection and focus irradiation can be achieved, and the automation level, precision and effect of photodynamic therapy are improved.

The invention discloses a three-dimensional flexible distributed strain sensor and a strain interpretation method for temperature compensation thereof, and relates to the technical field of intelligent sensors. The three-dimensional flexible distributed strain sensor comprises a sensor body and a signal conditioning module; wherein the sensor body comprises an Ecoflex flexible substrate, a liquid metal microchannel network and an annular electrode array; the Ecoflex flexible substrate is internally provided with a three-dimensional communicated micro-channel structure formed by a three-dimensional printing sacrificial template process; the liquid metal micro-channel network is composed of gallium-indium alloy filled in the three-dimensional communicating micro-channel structure and comprises an X-direction micro-channel group extending in the X direction, a Y-direction micro-channel group extending in the Y direction and a Z-direction micro-channel group extending in the Z direction. The strain monitoring precision in a complex environment is remarkably improved, errors caused by temperature drift are effectively restrained, and the strain monitoring device has the advantages of being high in flexibility, high in stability and good in adaptability.