12 results about "Damage sensing" patented technology

The invention relates to a large-breadth flexible damage sensing material and a preparation method thereof, belongs to the field of intelligent material preparation, and solves the problem that large-scale preparation of the large-breadth flexible damage sensing material is difficult in the prior art. The invention discloses a large-breadth flexible damage sensing material and a preparation method thereof. The large-breadth flexible damage sensing material comprises a flexible substrate layer, a conductive layer and a packaging layer, wherein the conductive layer is superposed on the flexible substrate layer; the packaging layer covers the conductive layer; the conductive layer is made of a laser-engraved polyimide film, a functional laser-induced graphene structure and an auxiliary separation structure which are etched by a laser engraving machine are arranged on the conductive layer, and the auxiliary separation structure comprises a film through hole and an edge cutting line; the large-breadth flexible damage sensing material provided by the invention is high in fineness, stable in performance and capable of meeting large-breadth sensing application, the preparation method of the large-breadth flexible damage sensing material is simple in step and high in preparation efficiency, and the large-breadth flexible damage sensing material which is stable in performance and high in fineness can be prepared in batches.

The invention relates to the technical field of electronics, and discloses a reservoir area wading dangerous rock mass monitoring and early warning system, method, device and equipment and a medium, and the system comprises a rock mass soft zone positioning module, a rock mass damage sensing module and a monitoring and early warning module; the rock mass damage sensing module comprises a plurality of wave velocity monitoring sensors, the plurality of wave velocity monitoring sensors are arranged in a soft zone area of a target rock mass according to a preset requirement, each wave velocity monitoring sensor is used for collecting wave velocity data of a target position, and the soft zone area is determined by using the rock mass soft zone positioning module; the monitoring and early warning module is connected with the rock mass damage sensing module and used for determining rock mass damage information of target positions where the corresponding wave speed monitoring sensors are located based on the wave speed data collected by the wave speed monitoring sensors and determining early warning information of target rock mass based on the rock mass damage information of the target positions. The scientificity and effectiveness of monitoring and early warning of the wading dangerous rock mass in the reservoir area are effectively improved.

The invention belongs to the technical field of wind power blade damage early warning, and discloses a wind power blade structure fault damage early warning system which comprises a data sensing module, a damage simulation module, a damage modeling module, a crack tracking module and a risk decision module. The data sensing module is used for constructing a multi-dimensional sensing network covering the overall situation and the local situation of the blade and is responsible for capturing all-dimensional information data of the blade from overall situation response to local slight change; the data sensing module comprises an actual load acquisition unit, a local damage sensing unit and an environment acquisition unit; and the damage simulation module can construct a virtual mirror image completely corresponding to the wind power blade based on the omnibearing information data. The method is not limited to single blade vibration signal spectrum analysis through the global and local multi-dimensional sensing network of the blade, the subsequent early warning accuracy is replaced, and meanwhile, the progressive damage process of the wind power blade in matrix cracking, fiber fracture and interlayer stripping can be accurately simulated.

The invention relates to the technical field of electronic information, and discloses a heterojunction artificial synapse device with multi-wavelength response and bionic injury perception, which comprises a substrate, a silicon dioxide layer, a silicon-rich silicon nitride layer, a molybdenum disulfide layer and an electrode layer, the silicon dioxide layer covers the surface of the substrate, the silicon-rich silicon nitride layer is deposited on the side, away from the substrate, of the silicon dioxide layer, the molybdenum disulfide layer is transferred to the side, away from the silicon dioxide layer, of the silicon-rich silicon nitride layer, and the electrode layer is arranged on the side, away from the silicon-rich silicon nitride layer, of the molybdenum disulfide layer; and the substrate is a p-type silicon substrate. By constructing a molybdenum disulfide and silicon-rich silicon nitride heterojunction structure and optimizing material parameters and a preparation process of each layer, efficient response of the device to 350nm-380nm short-wave-band light and 510nm-550nm long-wave-band light is realized, light current generated under short-wave-band light stimulation is larger than light current generated under long-wave-band light stimulation, the multi-wavelength visual information perception requirement is met, and the device has a wide application prospect. And hardware support is provided for optical signal identification and processing in a complex environment.

This invention provides a wind turbine blade damage sensing system, including a sensing line, a sensing control loop, a sensing relay, and a blade control PLC system. The sensing line is tightly bonded along the inner edge of the blade to form a closed loop. The control loop is connected to the pitch DC 24V power supply via a 1P circuit breaker and then connected to the relay coil via the sensing line. The two sets of normally open contacts of the relay are connected in parallel between the PLC input module and the power supply. If the sensing line breaks, the sensing line breaks synchronously, causing the relay to lose power, the contacts to open, the input module to switch to a low level, and triggering the PLC system to send alarm and fault information to the main control system. This invention solves the technical blind spot of the prior art where blade damage cannot be detected in a timely manner. Through simple and reliable electrical connections and logic design, it realizes real-time monitoring and signal transmission of blade damage, avoids secondary accidents caused by blindly resetting the wind turbine, and significantly improves the safety and reliability of wind turbine operation.

The invention provides a self-repairing intelligent optical fiber composite structure, a preparation method and a repairing evaluation method. The method is used for solving the problem of interface slippage of a sensing optical fiber and a base material under long-term alternating load. Comprising at least one force-bearing reinforced core and an optical fiber sub-rod, and the force-bearing reinforced core and the optical fiber sub-rod are tightly arranged and wrapped by a first polymer matrix layer; the first polymer matrix layer contains microcapsules for self-repairing, the microcapsules are enriched on the contact surface of the bearing reinforced core and the first polymer matrix layer, a repairing agent and a curing agent which are physically isolated are arranged in the microcapsules, and when the microcracks expand to the contact surface area, a crack tip stress field enables the microcapsules to be broken, so that the self-repairing effect is achieved. The repair agent fills the crack and is cured by the curing agent. According to the application, optical fiber sensing, a high-performance composite rib material and a targeted self-repairing function are integrated, in-situ quantitative evaluation can be carried out on a repairing effect, and an intelligent closed loop of a whole process from damage sensing and positioning to repairing triggering and in-situ quantitative evaluation on the repairing effect is realized.

The invention discloses a damage sensing system and method for a flexible folding and unfolding solar cell panel, and relates to the technical field of state monitoring of flexible photoelectric equipment. In the system, a flexible electronic sensing layer is arranged between a photovoltaic unit and a flexible substrate; the flexible electronic sensing layer obtains original signals of a plurality of monitoring points on the flexible folding and unfolding solar cell panel; the plurality of monitoring points cover a key stress area of the flexible folding and unfolding solar cell panel; the signal acquisition and preprocessing module acquires a plurality of original signals and preprocesses the plurality of original signals to obtain a plurality of preprocessed original signals; the feature recognition and damage judgment algorithm module extracts a feature index group of each preprocessed original signal, and based on the multiple feature index groups, a weighted center positioning algorithm is combined with a convolutional neural network classifier to determine a detection result. The flexible electronic sensing layer is integrated on the folding and unfolding type flexible solar cell panel, so that structural health monitoring and self-diagnosis of the flexible folding and unfolding type flexible solar cell panel are realized.

The present application belongs to the technical field of functional coating preparation, and particularly relates to a wear-repair self-sensing coating and a preparation method thereof. The coating comprises a damage sensing component and a modified polymer resin; the damage sensing component is prepared by grafting diisocyanate and functionalized rhodamine on MXene nanosheets in sequence; and the modified polymer resin is an epoxy-terminated polyurea resin prepared by reacting a polyurea resin with a diglycidyl ether. The present application realizes real-time dynamic indication of the wear process. As a carrier, MXene nanosheets form a stable network structure by chemically grafting diisocyanate, and then combine with functionalized rhodamine, so that the coating releases a fluorescent signal when damaged. After the coating is worn, the damage position and the wear area can be quickly identified through fluorescence enhancement behavior, and at the same time, after the coating is damaged and repaired, the repair degree of the damage can be indicated through fluorescence weakening / quenching behavior, so as to realize dynamic visual sensing of the wear-repair process of the coating.

The invention relates to the technical field of power distribution line disaster damage state monitoring and sensing, and particularly provides a power distribution network line disaster damage state sensing method and device based on image recognition, and the method comprises the steps: inputting the image data of a power distribution line into a pre-trained denoising diffusion probability model, obtaining de-noised image data output by a pre-trained de-noising diffusion probability model; and inputting the de-noised image data into a pre-trained power distribution network line disaster damage state sensing model to obtain a power distribution line disaster damage category output by the pre-trained power distribution network line disaster damage state sensing model. According to the technical scheme provided by the invention, different disaster types such as displacement, galloping, wire lapping and short circuit can be automatically judged, so that the disaster state of the distribution line is output, and key information is provided for disaster emergency repair and after-disaster power restoration.

The application relates to the technical field of special equipment safety monitoring and intelligent diagnosis, and particularly discloses a structure health assessment method based on multi-modal sensing fusion and field knowledge guidance, which comprises the following steps: synchronously collecting acoustic emission, vibration, strain, infrared and visual multi-modal data and time aligning; adaptively denoising and enhancing the features of the multi-modal signals; extracting acoustic emission event clustering, vibration harmonic ratio, fatigue damage index, thermal gradient change rate and surface crack and other deep state characteristics; constructing a graph neural network fusion model embedded with physical constraints, taking equipment subsystems as nodes and mechanical paths as connections, introducing material attenuation and load weight to simulate damage propagation; and realizing four-grade classification of the health state and remaining life prediction based on the fusion representation and combined with the Paris law correction. The application improves damage sensing accuracy, model interpretability and engineering applicability under complex working conditions, and supports real-time early warning and scientific maintenance decision-making in high-temperature and high-pressure environments.

The invention belongs to the technical field of power distribution network restoration, and particularly relates to a dynamic damage sensing collaborative restoration method for a power distribution network to cope with flood disasters, which comprises the following steps: S1, acquiring local data of a target area; s2, constructing a disaster scene deduction model, a search and fault perception model, a random maintenance time model, an unmanned aerial vehicle-maintenance team cooperative scheduling model, a communication recovery and switch control model, a waterlogging development model and an operation constraint model based on the local data collected in S1; s3, taking maximum recovery of weighted load energy, reduction of flood drainage cost and improvement of fault information FI perception efficiency as target functions, and establishing a dynamic damage perception collaborative recovery model of the distribution network coping with flood disasters under fault information loss; and S4, an event-driven rolling optimization framework is established and solved, and a power supply recovery strategy is obtained. The method can sense the damage state in real time, dynamically adjust the recovery strategy, and cooperatively dispatch the unmanned aerial vehicle and maintenance resources in a complex environment of dynamic development of waterlogging.

The application discloses a flexible foldable solar cell panel damage sensing system and method, and relates to the technical field of flexible photoelectric device state monitoring. In the system, a flexible electronic sensing layer is arranged between a photovoltaic unit and a flexible substrate; the flexible electronic sensing layer acquires original signals of a plurality of monitoring points on the flexible foldable solar cell panel; the plurality of monitoring points cover key stress areas of the flexible foldable solar cell panel; a signal acquisition and preprocessing module acquires the plurality of original signals, and pre-processes the plurality of original signals to obtain a plurality of pre-processed original signals; a feature recognition and damage determination algorithm module extracts a feature index group of each pre-processed original signal, and determines a detection result by using a weighted center positioning algorithm combined with a convolutional neural network classifier based on the plurality of feature index groups. The flexible electronic sensing layer is integrated in the foldable flexible solar cell panel to realize structural health monitoring and self-diagnosis of the flexible foldable solar cell panel.