22results about How to "Solve protection problems" patented technology

The invention belongs to the field of industrial control and computer data security, and particularly relates to a millisecond-level power failure data protection system for an industrial control panel. The invention discloses a millisecond power failure data protection system for an industrial control panel. The millisecond power failure data protection system comprises a core processing component, a real-time synchronous shadow memory component, a bus voltage monitoring component, a pre-entropy reduction logic control component, a nonvolatile storage component and a flight control bus arbitration component. The bus voltage monitoring assembly monitors a voltage drop trend and performs early warning, the pre-entropy reduction logic control assembly calculates a minimum data survival set according to energy entropy, the real-time synchronous shadow memory assembly constructs a synchronous shadow control domain and atomizes data, and the flight control bus arbitration assembly compulsively takes over a bus and freezes processor access at the moment of power failure. Atomized writing of data into the nonvolatile storage component is guaranteed. According to the invention, zero-delay data protection and millisecond-level hot start recovery at the moment of power failure are realized, and the data security and reliability of the industrial control equipment in a severe environment are enhanced.

The utility model relates to the field of lithium battery management discloses a kind of lithium battery management devices of self-adapting overload protection, including protection shell, and the protection shell top is provided with overload trigger component;The overload trigger component includes base one, and the base one bottom is fixedly connected at the top end of protection shell, and the base one top is fixedly connected with base two, and the base two top is fixedly connected with fixed column, and the base two top is fixedly connected with bimetallic strip, and the base one top is provided with static contact plate, and the static contact plate top is fixedly connected with clamping block.In the utility model, bimetallic strip is moved by heat deformation to drive trigger top rod, so that moving contact and static contact point are separated, and circuit on-off control is realized by reset spring cooperation, so as to carry out overload protection to lithium battery circuit, reach the effect of self-adapting overload protection, improve the security of lithium battery use, solve the problem that traditional fixed threshold protection is prone to false triggering or hysteresis protection.

The invention relates to a federated learning-based commercial data protection system, and the system comprises a federated protection module which is used for obtaining multi-modal behavior feature vectors, forming encryption features, carrying out aggregation operation, forming an encryption view, constructing a relation graph, and carrying out federated risk scoring; the self-adaptive control module is used for selecting a group of response action candidate sets, performing cost-benefit simulation evaluation on candidate actions in the response action candidate sets, generating a response action sequence, issuing a control measure command, verifying whether risk misjudgment occurs or not, and feeding back a verification result to the federal protection module; and the compliance guarantee module is used for acquiring data, carrying out noise addition on the data, locally completing encryption, constructing a verifiable trust and audit chain, hiding technical operation to corresponding legal requirements and dynamically generating a compliance state report. According to the technical scheme, the technical problems that in the prior art, misjudgment and early warning are prone to occurring, effective blocking cannot be conducted before IP leakage occurs, and privacy regulation requirements are not met are solved.

The application discloses a leakage-proof buried automobile charging pile and a use method thereof, and relates to the field of charging piles.The device comprises a liftable buried box body, a data acquisition module, a health degree calculation module, a state decision module and an execution control module.The health degree calculation module fuses the collected environmental parameters, electrical parameters and mechanical state parameters into insulation health degree and mechanical health degree.The state decision module converts between sealing, maintenance and service states according to the health degree and leakage risk level and in combination with artificial instructions, and provides a user override channel when the power factor health degree is limited.The device distinguishes between permanent damage and instantaneous fluctuation, avoids logical conflicts of dispersed control by establishing a unified health degree decision center, provides a hierarchical recovery path after failure through the state closed loop of sealing-maintenance-service, and eliminates the spatial blind area of single pile decision through multi-pile cooperation.

The present application relates to the field of water and electricity relay protection, and specifically discloses a kind of water and electricity relay protection defect intelligent diagnosis method, device, equipment and medium, the method comprises: collecting the topology of hydropower station and equipment parameters, constructs node admittance matrix and divides fault point;Establishes the equivalent model of transient potential variation of hydroelectric generating set, introduces dynamic impedance compensation factor to solve short-circuit current and calculates contribution rate matrix;Carry out frequency domain analysis to extract characteristic frequency component, when waveform distortion or low-frequency oscillation in strong coupling area exceeds threshold value, select compensation model to correct sensitivity coefficient, draw protection characteristic curve and identify cooperation interface point.The present application solves the problem of large deviation in fault current calculation and sensitivity distortion caused by ignoring transient potential attenuation and harmonic, low-frequency oscillation in prior art through dynamic impedance compensation and frequency domain compensation model, realizes intelligent and accurate diagnosis of water and electricity relay protection defects.

The application is suitable for the field of automation equipment, and provides a pressure self-adaptive flexible gripping mechanical arm for desert tree planting, which is a three-section column modular structure, is composed of a light-weight protective guide rail, a multi-degree-of-freedom modular mechanical arm and a pressure self-adaptive flexible mechanical claw connected coaxially in sequence, and each unit is detachably connected through quick-change pin shafts.The light-weight protective guide rail realizes dust prevention by using built-in slide rails and upper cleaning micro-holes; the multi-degree-of-freedom modular mechanical arm realizes light weight and high rigidity by using hollow transmission rods and triangular reinforcing rib supports; the pressure self-adaptive flexible mechanical claw realizes lossless and stable gripping of irregular sand willow seedlings by using an asymmetric arc envelope structure matched with a thin film type force sensor closed loop control; and a posture compensation mechanism is further arranged to ensure that the seedlings are vertically planted into the soil.The application solves the problems of easy jamming of the kinematic pair in the desert windy and sandy environment, difficulty in field maintenance, damage and tilting planting of the seedlings, and improves the operation reliability and the survival rate of the seedlings.

The ship cabin liquid level switch protection device comprises a protection cover body, one side face of the protection cover body is of an open structure, the protection cover body comprises a fixed panel at the bottom, the fixed panel is connected with a liquid level switch, the upper portion of the liquid level switch penetrates through the fixed panel and extends into the protection cover body, and the liquid level switch is arranged in the protection cover body. The upper portion of the liquid level switch is located in the protective cover body, and a signal line at the upper end of the liquid level switch extends out of the open structure of the protective cover body. According to the ship cabin liquid level switch protection device provided by the utility model, the liquid level switch can be always in a semi-closed protected state, the ship liquid level switch is greatly ensured not to be easily damaged by external force, the service life of the liquid level switch is prolonged, and the accuracy of acquisition of various data of a cabin is improved; and safe navigation of the ship is ensured.

The invention relates to the technical field of intelligent household electrical appliance and flexible electric heating safety control, in particular to an electric blanket power control system and method, and the method comprises the steps: collecting a real-time voltage sampling sequence and a real-time loop current sampling sequence of an electric heating load, and calculating an actual measurement impedance sequence; constructing a virtual fault state, and generating a theoretical folding fault trajectory; calculating a difference value between the theoretical folding fault trajectory and the ideal impedance trajectory, and marking the difference value as a theoretical residual sequence; calculating the trend similarity between the actually measured residual error sequence and the theoretical residual error sequence; if the trend similarity is greater than a preset judgment threshold, judging that the current state is a folding overheating fault, and executing a latch-up protection strategy; otherwise, the current state is judged to be normal heat storage fluctuation, and a constant temperature adjusting strategy is executed; according to the invention, the problem of pain points of easy false alarm or protection delay in the prior art is solved, and the intelligent identification capability of the system is significantly improved.

The present application relates to the technical field of skin bag material, and particularly relates to a weather-resistant elastic composite skin bag material and a preparation method thereof, which is prepared from the following components: 65-85 parts of elastic matrix resin, 10-20 parts of elastic reinforcing agent, 4-9 parts of weather-resistant agent, 1-4 parts of plasticizer, 0.5-2.0 parts of antioxidant, and 0.3-1.0 parts of lubricant. The present application designs a multi-component synergistic composite weather-resistant agent to achieve all-round weather resistance: abandoning the single action mode of traditional small-molecule weather-resistant agents, adopting bentonite, boron nitride and nano-silicon carbide as physical barrier phases, lanthanum oxide as a chemical stable phase, chitosan and sodium silicate as interface compatible phases, and nano-cellulose agent as a dispersion reinforcing phase.

The invention discloses a vehicle passenger room remnant detection system, which is applied to an automatic passenger shortcut system, and the automatic passenger shortcut system comprises a vehicle automatic control system. The detection system comprises a vehicle-mounted VCA system and a ground VCA system. VCA is video content analysis; and the vehicle-mounted VCA system communicates with the ground VCA system through a vehicle-ground wireless network. The invention further discloses a detection method of the detection system. By means of the technical scheme, whether left articles and persons exist in the compartment or not can be rapidly judged, alarm is given to inform center workers while the car is deducted, the positions of the left articles and persons are located in the video, the workers can process the left articles and persons conveniently, manpower is saved, and meanwhile operation efficiency is improved.

The embodiment of the invention provides an intrusion detection method of the Internet of Vehicles and electronic equipment, the method is applied to a vehicle end, and the method comprises the steps: obtaining vehicle-mounted multi-source data which is used for representing vehicle data from a plurality of data sources; on the basis of the vehicle-mounted multi-source data, initial parameters of the local initial model are updated, updated parameters are obtained, and the parameter quantity of the initial parameters of the model is smaller than the preset parameter quantity; encrypting the update parameter to obtain a first encryption result; the first encryption result is uploaded to the cloud end, an intrusion detection model returned by the cloud end is received, the first encryption result is obtained by combining the cloud end with multiple second encryption results generated by other vehicle ends, parameter updating is conducted on an initial detection model of the cloud end, and the intrusion detection model is obtained and used for conducting intrusion detection on the vehicle ends. According to the method and the device, the technical problems of low detection accuracy and low data security of intrusion detection of the Internet of Vehicles in related technologies are solved.

The invention discloses a method for improving the size of an adult male penis after erection, and relates to the technical field of body local exercise. The invention discloses a method for improving the size of an adult male penis after erection. The method comprises the following steps of instrument exercise, endocrine regulation, night erection improvement, vascular endothelium protection and vascular endothelium repair. Scientific stretching exercise is carried out on the corpus cavernosum, the albuginea and the skin, scientific endocrine adjustment is matched, meanwhile, night erection is improved by assisting oral medicine, related products are used, cavernosum vascular endothelium protection and repair are achieved, retraction is prevented, and finally the purposes that the volume of the cavernosum is increased by a little every day, and the cavernosum is accumulated for a long time are achieved. Finally, the purpose of improving the erection size of the penis is achieved.

The utility model relates to the technical field of magnetic suspension conveying systems, in particular to a magnetic drive module and a totally-closed magnetic drive connection line system. Comprising a stator unit and a mover unit, and a first sliding rail and a second sliding rail are arranged above the two sides of an H-shaped supporting frame of the stator unit; a mover of the mover unit comprises a groove gap penetrating through the cover plate, the mover is provided with a first lower groove, a second lower groove and a third lower groove, a first sliding block in sliding fit with the first sliding rail is arranged in the first lower groove, a second sliding block in sliding fit with the second sliding rail is arranged in the third lower groove, and power magnetic steel matched with the magnetic drive motor is arranged in the second lower groove. The system comprises a first conveying line, a second conveying line and a connection module, the connection module moves between the first conveying line and the second conveying line to execute a connection task, and the first conveying line, the second conveying line and the connection module each comprise a rotor unit and a stator unit. The device can be widely applied to precision and ultra-precision machining industries.

The invention relates to the technical field of building construction, in particular to an underground diaphragm wall device suitable for complex geological conditions and a construction method.The device comprises a steel reinforcement cage, guide boxes are symmetrically arranged on the two sides of the top and the two sides of the bottom of the steel reinforcement cage, and pulleys capable of adjusting the extending length are arranged on the outer sides of the guide boxes; an adjusting assembly composed of a worm gear, a worm, a threaded sleeve and an adjusting rod is arranged in the box to control the pulleys to stretch out and draw back. The bottom of the guide box is fixedly connected with a mounting box, a clamping jaw is rotationally connected in the guide box through a first rotating shaft, and a locking assembly comprising a [-shaped locking block, a spring and a push plate is arranged. During construction, the clamping jaw and the locking assembly are used for automatically clamping the reinforcement cage, and after the reinforcement cage is hoisted into the groove, the pulley is adjusted to be tightly attached to the groove wall so as to guide the reinforcement cage to be centered; when the reinforcement cage is lowered to the bottom of the groove, the locking assembly automatically relieves locking in stages, the clamping jaw retracts under the action of the torsional spring, and the device is separated from the reinforcement cage. The clamping device has the advantages that the groove wall is protected, automatic centering is achieved, clamping is stable, and automatic unhooking can be achieved.

A two-hand pull-rod binder includes a main body, a clamp, a pull-out component, and a binder cover. The clamp is located on the side of the main body and can slide laterally relative to the main body. The pull-out component is located at the end of the main body and can slide vertically relative to the main body. The vertical sliding of the pull-out component drives the clamp to slide laterally. The main body has a fixed half-ring, and the clamp has a movable half-ring that can engage with the fixed half-ring. By covering the main body and the clamp with the middle connecting surface of the binder cover, the fixed half-ring and the movable half-ring are exposed through the middle connecting surface, thus completely concealing the internal moving structure of the binder. This not only makes the product appearance cleaner and more aesthetically pleasing, meeting the integrated design requirements of modern stationery, but also effectively prevents the clamp from directly contacting the paper edge during lateral sliding, preventing paper wear, fuzzing, or wrinkling, and significantly improving the lifespan and integrity of the paper.

The application relates to a kind of implementation methods of verifiable Internet of Things device data asset transaction, based on the data seller, blockchain and data buyer involved in Internet of Things data asset transaction system, the process for realizing verifiable data asset transaction is as follows: data seller publishes encrypted data on blockchain through smart contract, data buyer requests data according to needs and submits verification request.Smart contract is responsible for verifying the integrity and authenticity of data, and transmits decryption key to data buyer after verification.The data buyer decrypts the data using the key and completes the transaction.If the buyer finds that the decrypted data is abnormal, the smart contract is called to initiate arbitration.Through the confusion encryption mode, RSA accumulator technology, hash verification mechanism and on-chain arbitration mechanism, these attack behaviors are effectively resisted, and the privacy, integrity and verifiability of data transaction are ensured.

The application relates to the technical field of data privacy protection, and discloses a supply chain-oriented private data protection method, which comprises the following steps: dividing supply chain participants into three layers of core enterprises, first-level suppliers and second-level suppliers, and deploying a hierarchical network topology and a blockchain smart contract system. Each participant injects local sensitive data by using differential differential privacy; Fisher information matrix is used to grade gradients, and Paillier, BFV homomorphic encryption and a secure aggregation protocol are used to perform hybrid encryption and aggregation on key, important and secondary gradients respectively, and malicious gradient detection is performed; a quality-weighted scale self-adaptive cross-layer aggregation strategy is used to update a global model; and a blockchain is used to store and prove the output of the auditable collaborative training record. The application can realize supply chain multi-level collaborative privacy protection model training under the premise of protecting original data from being out of the domain, and can balance the privacy protection strength and the calculation efficiency, and provide full-process auditability.

This invention discloses an adversarial hint copyright verification method and device based on multi-model joint gradient optimization. Addressing the weaknesses of single-model fingerprint generation in terms of weak adversarial capabilities, poor transferability, and insufficient concealment, this invention constructs multiple downstream models to simulate technical variations of the original model series. It employs multi-model joint gradient optimization to generate adversarial hints with cross-model recognition capabilities as model fingerprint features. Copyright verification is achieved by detecting the specific response patterns of the test model to the adversarial hints. This invention relies on multiple downstream models to capture the most essential features of the original model. Adversarial hints optimized using these features possess stronger specificity and effectiveness, effectively addressing intellectual property risks such as model leakage and unauthorized distribution.

The invention discloses a federal learning model poisoning defense method based on rapid distillation and clustering weighting, which is applied to an Internet of Vehicles environment. The method is executed by a federal learning server, and comprises the following steps: firstly, receiving a model update vector of a vehicle node, and quickly generating a virtual model of each node by jointly optimizing a distillation process of a virtual sample and a soft label based on virtual training data; and then, calculating the deviation between the virtual model and a real update vector as a suspicious score, and performing adaptive clustering analysis to distinguish node categories according to the suspicious score. And finally, distributing differentiated aggregation weights for the nodes according to the categories and the suspicious scores, and performing weighted aggregation on the update vectors to generate a new global model. According to the method, on the premise of protecting data privacy, model poisoning attacks of malicious nodes can be effectively identified and inhibited, and the security and model convergence robustness of the Internet of Vehicles federated learning system in a non-independent identically distributed data environment are improved.

The present application relates to the technical fields of industrial fluid control and valve automation, in particular to a stop valve multi-target collaborative control optimization system based on industrial data processing, comprising a multi-dimensional data acquisition step: a multi-dimensional data acquisition center calls real-time operation parameters of the stop valve; a flow resistance characteristic coupling analysis step: a fluid state observation unit calculates the current flow coefficient and the transient pressure difference value based on the parameters; a risk discrimination and decision step: a working condition risk assessment unit quantifies the water hammer and cavitation indexes, obtains a comprehensive risk evaluation value by weighting, and outputs a smooth control or ultra-fast response signal accordingly; a trajectory planning step: a trajectory planning unit respectively generates a nonlinear damping velocity curve or a linear step velocity curve according to the signal type; a flexible execution step: a flexible execution unit drives the stop valve to act, and monitors the closing contact state to realize the switching of the velocity and torque control modes; the present application solves the problem that the traditional control ignores the fluid dynamics risk, and prolongs the service life of the equipment.

The invention discloses a local-cloud collaborative RTL code optimization method for IP security. The method comprises the following steps: step 1, constructing K pairs of proprietary modules and first draft by using a local large language model; step 2, extracting an optimization principle set from a proprietary module to a first draft according to a local principle; 3, performing IP leakage risk detection verification on the optimization principle set by using a local large language model; step 4, feeding back the leakage feedback value to the local large language model, and repeating the step 2 to the step 4 until the leakage verification of the optimization principle set is passed; and 5, uploading the optimization principle set passing the leakage verification to the cloud big language model, and optimizing the target module to be optimized. According to the method, the optimization success rate of 50.85% is achieved in a key path delay optimization task; and the optimization success rate reaches 66.67% in a power consumption optimization task. According to the method, on the premise of ensuring the safety of intellectual property, the hardware description language code can be effectively optimized by utilizing the optimization capability of the cloud large model.

The present application relates to the technical field of data processing, in particular to a warehouse heterogeneous data intelligent management method, device, equipment and computer storage medium. The present application obtains unstructured text data and structured time series data locally at each federal node, maps the data quality correction parameters to a unified dimension numerical vector; constructs a distributed clustering objective function based on adaptive weights for local clustering calculation, generates local clustering statistical information and encrypts it; receives the encrypted statistical information, calculates the cross-node cluster similarity based on the intra-cluster data consistency coefficient and the dynamic threshold, and executes merging on the clusters that meet the conditions to generate the global clustering result; updates the standard data dictionary according to the global clustering result and synchronizes it to each node, and simultaneously performs incremental update on the feature mapping parameters and clustering parameters based on the clustering effect feedback using transfer learning. The present application improves the accuracy and consistency of heterogeneous data management while ensuring data privacy.