15results about How to "Fast security" patented technology

The invention discloses a safety monitoring method and system for a construction process of a cantilever beam hanging basket based on digital twinning, and relates to the field of cantilever beam hanging basket construction. A hanging basket entity and a digital model are subjected to real-time interaction and synchronous mapping through a digital twin modeling technology, a twin digital model of the cantilever casting hanging basket for simulating the whole construction process is built, and various construction data of the hanging basket entity in the construction process are collected in real time and synchronously mapped into the twin digital model. Setting a safety threshold of each piece of construction data, performing early warning processing when any piece of construction data acquired in real time exceeds the set safety threshold, and constructing a construction safety degree evaluation model in a multi-operation condition mode according to historical construction data, and utilizing the evaluation model to evaluate the construction safety degree of the current hanging basket entity under the real-time construction data, obtaining the current construction safety level according to the evaluation result of the construction safety degree, and formulating an early warning strategy corresponding to the current construction safety level.

The invention discloses a comprehensive monitoring method and system based on an optical cable sensor network, and belongs to the technical field of underground engineering monitoring, and the system comprises a wireless sensor subsystem which is used for collecting environment parameter information; the wireless transmission module is used for transmitting the environment parameter information back to a receiving node of the optical cable in a wireless signal mode; the edge computing node is used for analyzing and preprocessing the received environment parameter information in real time by adopting a self-adaptive weighted fusion algorithm; and the data processing module is used for carrying out fusion analysis on the preprocessed environment parameter information to realize monitoring and early warning on the underground tunnel space. According to the invention, various data types in the tunnel environment can be comprehensively collected, analysis is carried out through a fusion algorithm and machine learning, and the safety monitoring level of the tunnel is effectively improved.

The invention discloses a network end relation accurate association method and device in XDR. The method comprises the following steps: receiving an equipment unique identification request of an EDR terminal and an equipment unique identification request of NDR equipment; corresponding equipment unique identifiers are respectively distributed to the corresponding NDR equipment and the EDR terminal; grouped device identification information is obtained from the NDR device, each group of device identification information comprises a unique device identification of the NDR device and unique device identifications of a plurality of EDR terminals, and the unique device identification of the NDR device is the unique device identification of the NDR device. The equipment unique identifier of the EDR terminal is obtained by monitoring corresponding NDR equipment and analyzing a TLS extension field according to a preset TLS custom handshake extension field, and the TLS extension field is constructed by the EDR management center according to the preset TLS custom handshake extension field and the equipment unique identifier of the EDR terminal. According to the invention, the rapid association and security analysis of the equipment and the host are realized, the detection and response efficiency of security events is improved, and the management and maintenance work in a complex network environment is simplified.

The invention discloses lifting equipment for loading a server to a cabinet, and relates to the technical field of servers, the lifting equipment for loading the server to the cabinet comprises a box body and a lifting device, and the box body can be moved to a use area according to needs; the lifting device is arranged on the box body, and the lifting device is used for lifting the server loaded into the box body to a specified position along a third direction; the lifting device comprises a driving mechanism and a lifting plate, and the driving mechanism is arranged on the box body; the lifting plate is arranged on the box body, the lifting plate is connected with the driving mechanism, and the lifting plate is used for achieving lifting movement in the third direction under driving of the driving mechanism. According to the lifting equipment for loading the server into the cabinet, the problems of high labor intensity, low safety and low efficiency of traditional manual carrying and simple hoisting equipment in server loading operation are effectively solved, quick, safe and accurate lifting of the server is realized, the operation efficiency is improved, and the operation risk is reduced.

The invention discloses a Jenkins-Kubernetes interactive encryption method, a storage medium, an integrated architecture system and a vehicle, and the Jenkins-Kubernetes interactive encryption method comprises the following steps: when Jenkins executes a deployment task, calling and executing a predefined shell script; the method comprises the following steps: generating a temporary Docker honeypot on the basis of a predefined shell script, the temporary Docker honeypot comprising a Kubectl and a Kubecfig certificate, so that the Kubectl calls a Kubecnetes API (Application Program Interface) through the Kubecfig certificate to interact with Kubecnetes, and then deleting the Kubecfig certificate on the basis of the predefined shell script and releasing the Docker honeypot. Therefore, the communication security of integration of Jenkins and Kubernetes is remarkably enhanced, the high risk of local storage of a Kubsecfig certificate is avoided, external attacks and internal leakage risks are effectively resisted, meanwhile, the high efficiency and flexibility of a CI / CD process are kept, and a solid foundation is provided for rapid iteration and secure delivery of cloud native applications.

The invention discloses a transformer neutral point isolation switch, and belongs to the technical field of neutral point isolation. A transformer neutral point disconnecting switch comprises a supporting stand column and further comprises fixed channel steel. The conductive structure comprises a connecting steel plate rotatably connected to the top of the insulator, a moving contact installed on the outer side of the connecting steel plate, a contact piece installed on the inner side of the moving contact, a static contact which sleeves the outer side of the moving contact and is in threaded connection with the connecting steel plate, a grounding switch installed between the moving contact and the connecting steel plate, and a grounding rod sliding in the grounding switch. The rotating plate is arranged at the lower part of the grounding rod; the transmission assembly is arranged at one end of the rotating plate; the connecting steel plate is quickly and mechanically separated from the moving contact and the static contact through the bearing seat, the action is quick, the rotating plate and the grounding rod connected with the rotating plate are linked to rotate inwards together and accurately move to the position of the grounding switch, and compressed air is introduced into the contact piece to physically lengthen the electric arc, so that the electric arc is prevented from being damaged. And the arc discharge phenomenon is prevented.

The invention relates to the technical field of intelligent power grids, in particular to an intelligent power grid control system and a control method thereof. The intelligent power grid control system comprises a plurality of nodes, wherein each node is connected through a network and is used for adjusting the state and behavior of the network according to the change of time; the time sensing module is used for dividing the network into a plurality of time slots, and each time slot has a specific task; the operation control module is used for adjusting the operation state of the network according to the power demand and the system state; the time synchronization module is used for ensuring time synchronization of all nodes; the monitoring module is used for monitoring the network state and the equipment operation condition in real time; the data recording module is used for recording historical data and performing data analysis and optimization based on the operation control module; according to the invention, in a power transmission network, the accuracy of network performance is ensured through accurate time synchronization.

The present invention discloses a safety management system for spa equipment for rehabilitation treatment, comprising a microservice business module, a spa cloud platform module, a data storage module, an operation and maintenance management module and a user interface module, wherein: the service application business module adopts a microservice architecture developed based on Nodejs, and is subdivided into different microservice units for safety management and control of spa equipment, and a plurality of microservice processing units provided in the spa cloud platform module correspond one to one with each microservice unit of the service application business module; the present invention integrates a spa image processing microservice unit, a spa safety management microservice unit and an anti-drowning processing sub-unit through a microservice architecture based on a cloud platform, and can monitor the drowning safety of patients and other safety hazards in the patient's spa process in real time, and quickly perform safety management, and at the same time, each microservice is independent of each other, and can be quickly built and optimized, saving development costs and efficiency.

The invention particularly relates to an unmanned aerial vehicle emergency disaster rescue cluster system and method based on a large visual language model, and the method comprises the steps: carrying out the space-time alignment of collected multi-modal environment observation data through a cross-modal space-time fusion mechanism; a multi-mode encoder and an online contrast learning mechanism are combined, a large visual language model is used for generating structured situation description containing disaster objects, positions and states, and an optimal path is dynamically planned through a Monte Carlo tree search algorithm; on the basis, the flight state of the unmanned aerial vehicle is monitored in real time through a time sequence anomaly detection network, and task migration and topology recombination are triggered when the unmanned aerial vehicle is abnormal. According to the method, the disaster situation identification accuracy can be improved, the task planning response time can be shortened, the rescue efficiency can be remarkably improved, the method is suitable for high-dynamic disaster scenes, a reliable technical framework is provided for multi-source heterogeneous data fusion and swarm intelligent decision making, and then the problems that a traditional unmanned aerial vehicle cluster rescue system is poor in flexibility and low in adaptive capacity are solved.

This application discloses a method for rapid access and management of cross-brand robots based on RUAPL, belonging to the field of robot control technology. This method is applied to a multi-robot management platform and includes: receiving access requests from at least one target robot; extracting a skill list from the access requests to construct a skill semantic graph; abstracting the capabilities of the target robots based on the skill semantic graph to obtain a unified abstract description; performing RUAPL-based adaptation and conversion on the unified abstract description to generate downlink commands; verifying the downlink commands based on the target robot's digital twin sandbox; and, if the verification passes, sending downlink commands to the target robot through a control channel to configure the target robot. This method enables rapid access, semantic interoperability, secure control, and unified management of cross-brand robots in heterogeneous environments, reducing the operation and maintenance costs and integration complexity in multi-brand mixed scenarios.

The utility model discloses a multifunctional police water area robot, in water surface robot, water surface patrol camera and first acoustic electric connection water surface computer, and water surface computer is connected remote monitoring computer and / or cell -phone through wireless communication module signal, and underwater patrol camera and second acoustic electric connection underwater computer, and there is the power cable between underwater robot and battery group, and underwater computer is connected remote monitoring computer and / or cell -phone through power cable, water surface computer and wireless communication module, signal, compared with prior art, can water surface underwater simultaneously warning cruise, and the convenient emergency rescue and government search, no shore base connection's pull and limit, flexible change real -time patrol area, and it is convenient to fully, fast complete the security of whole piece water area, remote monitoring and remote alarm, can complete security when going out, based on satellite positioning cruise, all -weather autonomous patrol.

The present invention relates to a projectile recovery device, specifically, a device for buffering and collecting projectiles shot horizontally by a catapult device within a short distance. Compared with the prior art, the present invention utilizes the deep cavity shape unique to common tires and the high elasticity, large damping and impact resistance of rubber, cord and steel wire composite materials, which can effectively implement frontal buffering and rebound blocking for incoming high-speed projectiles. The narrow deep-hole buffer recovery space is formed by combining serially connected tires, which can effectively limit the rebound path and rebound stroke of the projectile. In addition, the filling of buffer materials in the tire cavity and the net bag in the optimized solution can further improve the buffering efficiency, safety and service life of the device. The whole solution has a compact structure, a short recovery stroke, high recovery efficiency, and controllable rebound of the projectile, which is suitable for use in a small space.

The utility model discloses a steel structure support column for engineering operation, which comprises an outer pipe, an inner pipe, threads, a bolt and pin holes, the inner pipe is arranged in the outer pipe and embedded in the outer pipe, the surface of the inner pipe is provided with a plurality of pin holes, the pin holes are arranged on the inner pipe, and the outer pipe is provided with a plurality of bolt holes. A thread is arranged on the surface of the top end of the outer pipe, a slotted hole is formed in the thread at the tail end of the outer pipe, a plug pin is arranged at the slotted hole, and the plug pin is embedded in a pin hole formed in the inner pipe and fixedly connected with the outer pipe; according to the rigid structure supporting column used for engineering operation, the inner pipe extends out of the outer pipe, after the height of the inner pipe is determined, the plug pin is inserted into the pin hole in the inner pipe, the inner pipe is fixed, then the supporting effect is rapidly achieved, the threads are directly machined on the outer pipe, hot galvanizing is completed, and the rigid structure supporting column has the advantage of being free of rust; and the inner pipe and the outer pipe are not rusted after hot galvanizing and zinc coating, so that the service life can be prolonged.

The invention relates to the technical field of mine management, and discloses a mine emergency command communication and management information system, which comprises a communication module used for communication among modules and ensuring effective communication with field personnel, a command center and other related departments in emergency; the collecting and monitoring module is used for monitoring data and corresponding conditions of all positions of the mine in real time; and the early warning and warning module is used for grading existing mine emergency situations according to severity, carrying out early warning of a corresponding level according to the data of each position of the mine, and giving an alarm and giving corresponding emergency plan measures when the emergency situations of the corresponding level occur. According to the invention, the optimal communication mode is automatically selected through the communication module, the security of communication data is protected, and a self-adaptive relay network is formed, so that dynamic optimization of communication is realized, and smooth communication is kept during emergency processing; and the information management module analyzes the data, so that the overall emergency management level is improved.

The invention provides a method for identifying neonatal identity information based on footprints and related equipment, which can quickly and accurately identify the neonatal identity information. The method comprises the following steps: determining a sole video frame set corresponding to a target neonate, wherein the target neonate is a neonate of which identity information is to be identified; detecting the sole video frame set to judge whether a footprint video frame set meeting a preset requirement exists in the sole video frame set or not; if yes, preprocessing each footprint video frame in the footprint video frame set to obtain a target footprint image set; inputting the target footprint image set into a footprint recognition model to obtain a footprint depth feature vector corresponding to each footprint image in the target footprint image set; and determining identity information of the target newborn according to the footprint depth feature vector corresponding to each footprint image.