17results about How to "Safety management" patented technology

The invention relates to a remote intelligent shore power management system, and belongs to the technical field of shore power management, and the system comprises a data collection module which is used for obtaining the initial data of a shore power system in real time; the edge calculation module is used for cleaning and standardizing the initial data on an edge calculation node to obtain target data; the cloud decision module is used for performing power load prediction on the cloud based on the completely trained long-short term memory network model and the target data to obtain power load prediction data, and generating a regulation and control strategy based on the power load prediction data; and the execution module is used for regulating and controlling the shore power system based on the regulation and control strategy. The demand for transmitting data to the cloud is reduced through the edge computing module, network delay is reduced, parameter prediction and comprehensive analysis of the shore power system are performed through an intelligent algorithm trained in the cloud decision module, real-time data are converted into decision information to regulate and control the system, and efficient, safe and intelligent management is achieved.

The invention relates to the technical field of liquid hydrogen cylinder management, in particular to a liquid hydrogen cylinder tracing management method and system based on RFID tags. Comprising the following steps: firstly, acquiring historical RFID tag information of a liquid hydrogen cylinder; and then, through data clustering and training, an RFID tag information analysis model is established, and classification and anomaly detection technologies are adopted to label abnormal data and optimize the abnormal data. In the model training process, one-hot coding is adopted to label data, sample features are extracted, RFID tag information analysis vectors are generated, and convergence of the model is further achieved by optimizing a loss function. And finally, acquiring RFID information of the current liquid hydrogen cylinder, inputting the RFID information into the optimal analysis model, and generating an analysis result. In addition, according to the method, plan information is combined, a state curve is constructed and matched, and when the prediction result is greatly deviated from the actual value, the RFID tag information is adjusted through a self-adaptive updating mechanism, so that real-time and accurate management is realized.

The invention relates to an SMT-based production management system and method and computer equipment. The system comprises an identifier management platform which is used for generating a standard identifier data structure after analyzing an external management standard node, and carrying out identifier information distribution with a supplier management module, a material management module, a product management module and a quality inspection management module according to the standard identifier data structure, and the distributed identification information is recorded on the industrial data storage module, and a local identification database is established. And the industrial data storage module is used for deploying the intelligent contract on the system and calling the intelligent contract of the SMT industry production application module to store the distributed identification information record. And the contract development module is used for generating an intelligent development contract according to a preset contract mechanism, and deploying the intelligent contract on the industrial data storage module according to the intelligent development contract. By adopting the method, the efficiency and efficiency of production management can be improved.

This invention relates to the field of thread pool resource scheduling technology, and particularly to a Vue-based rule generation method. This Vue-based rule generation method uses Vue combined with the Element component to develop a rule generator; it generates fixed rules and rapidly expandable rules through the rule generator, provides custom rule editing, and supports any type of rule configuration; it parses the generated rule expressions, updates the view, and populates form input boxes. This Vue-based rule generation method transforms the originally complex Cron rule syntax into an intuitive operation, allowing ordinary non-technical personnel to manage scheduled tasks safely and efficiently without mastering Cron rule syntax, truly realizing an agile operation model where business needs directly drive technical execution.

The invention discloses a heterogeneous environment prediction model training and deployment method and system, and relates to the field of prediction model training. In order to overcome the defects that an existing model training and deployment method is large in development difficulty, low in deployment efficiency and lack of unified management of multiple versions, an integrated development environment and an integrated development framework are used, and multiple pre-training models and operators are built in; carrying out data preprocessing and exclusive model building, obtaining training data to carry out model training, and generating a training model; all training models are arranged in a model center for unified management; aPI service development is carried out, a unified model algorithm reasoning framework is adopted, self-defined service development is carried out, and self-defined AI service is generated; the AI service is audited and published to be online, and the online AI service is used by an external application; based on distributed task scheduling and service arrangement, AI services are scheduled and run on a service running platform. The method is mainly used for establishing the prediction model for the heterogeneous environment.

Provided in the present invention is an antibody against human CD3 or an antigen-binding fragment thereof; also provided are a nucleic acid molecule encoding the antibody, an expression vector expressing the antibody and a host cell, as well as a method for producing the antibody. In addition, also provided in the present invention are a pharmaceutical composition comprising the antibody or the antigen-binding fragment thereof, a use thereof in the preparation of a drug, and a use of the drug as a drug for the prevention and / or treatment of various diseases, including tumors, organ transplantation and autoimmune diseases.

This invention discloses a cable production identification and monitoring system and method based on cable images, belonging to the field of image recognition technology. The system includes: acquiring a sequence of cable surface depth images to construct a grayscale surface map along the cable surface depth direction; using the central ridge of the grayscale surface map as a dynamic axis of symmetry, detecting candidate pixels through multi-scale morphological top-hat transformation to form a symmetrical residual distribution map; combining the eight-neighbor gradient direction field and Hessian matrix curvature to remove false defect points, obtaining an effective image, and inputting it into a pre-trained multi-task neural network to simultaneously output a defect segmentation mask and category label; generating a three-dimensional mesh model with dimensional accuracy through Poisson surface reconstruction; and finally, using the physical coordinates of the defect center to drive a laser marking machine to mark a QR code containing key information, which is then associated and stored in a blockchain database. This application improves the accuracy and efficiency of defect identification, realizing the quantitative characterization and full lifecycle management of defects.

The invention discloses a connection method and system of intranet equipment, a medium, electronic equipment and a program product. The method applied to a first server deployed in an extranet comprises the following steps: in response to receiving an SSH connection task sent by a Web end, distributing the SSH connection task to a first client in an intranet, so that the first client establishes an SSH connection between the first client and a target intranet device based on the SSH connection task, establishing a first network socket connection between the first client and the first server; and sending a first response message to the Web end to enable the Web end to establish a second network socket connection with the first server. Therefore, the security of the SSH connection can be ensured, data leakage and attack are prevented, and the intranet equipment can be safely and reliably accessed and managed. Besides, the user can seamlessly manage the intranet equipment from the Web end without complicated network configuration, so that the flexibility and convenience of equipment management are greatly improved, and the user experience is improved.

A first computer generates a secret key based on biometric information on a user of the first computer. A second computer holds a public key corresponding to the secret key, encrypted data as data encrypted based on the public key, a list of indexes indicating a type of the data, and an index of the encrypted data, and transmits the list to the first computer. The first computer designates an index of data to be presented, which is an index included in the list, and transmits the designated index to the second computer. The second computer transmits, to the first computer, the encrypted data corresponding to the index transmitted by the first computer. The first computer decrypts the encrypted data corresponding to the index based on the secret key and transmits the decrypted data to the third computer.

This invention relates to a dynamic optimization decision-making model for the mining sequence of polymetallic symbiotic ore bodies, comprising an edge layer, a cloud platform, and a control terminal. The edge layer, cloud platform, and control terminal interact through dedicated interfaces, achieving a closed-loop process from data acquisition, processing, decision-making, to execution. The edge layer acquires ore body data in real time via a multi-source sensor network, preprocesses it through an edge computing terminal, and then uploads it to the cloud platform. The cloud platform uses a dynamic geological model engine to construct a real-time 3D ore body model and generates a Pareto optimal mining scheme that comprehensively considers economic, environmental, and safety factors through a multi-objective optimization engine. The control terminal uses a digital twin console to visualize the scheme and allow for manual intervention, while the equipment control system automatically executes mining commands. The model supports hourly dynamic updates, significantly improving resource recovery rate and decision-making efficiency, reducing environmental costs and mining risks, and achieving efficient, intelligent, and green mining of polymetallic symbiotic ore bodies.

The application belongs to but is not limited to the technical field of Blattella germanica prevention and treatment, and discloses a Blattella germanica prevention and treatment method and system based on nanoparticle delivery of lethal gene dsRNA, which comprises the following steps: Blattella germanica lethal gene full-length cloning; plasmid construction and dsRNA expression and purification; and RNAi feeding. The application first confirms an efficient RNAi lethal target point for Blattella germanica, ensures the efficiency of the technical scheme, realizes low-cost and large-scale preparation of an active ingredient of an RNAi insecticide, breaks through the cost bottleneck of commercial application, creatively constructs a nanocomposite delivery system, efficiently overcomes the technical bottleneck of oral delivery of RNAi, and provides an environment-friendly practical prevention and treatment scheme, and has important application value and prospect.

The application discloses a kind of based on post-quantum signature operating system security authentication and key management method, belong to operating system security and quantum security technical field, including the following steps, establish the three-layer security architecture model based on hardware trust root-post-quantum signature chain-mixed key management;Operating system security authentication is carried out based on three-layer security architecture model;After security authentication passes, the whole life cycle management of post-quantum key is executed to generate key, and in the process, the way of hardware isolation and encryption protection is used to ensure that key is not leaked, traceable and controllable;Post-quantum signature and the post-quantum key obtained in the above step are deployed to the operating system and terminal equipment that have passed security authentication, the application uses the above method, realizes operating system full-scene anti-quantum security authentication, guarantees the safety of the whole life cycle of key, realizes the smooth compatibility with existing traditional cryptographic system, reduces migration cost, improves the overall security level of operating system.

The present invention provides a key information management system capable of securely managing key information. The key information management system (100) is a key information management system (100) for managing key information used in the authentication of digital keys of an object device (1) for controlling a controlled object. It comprises: a distribution device (2) for distributing key information registered in the object device (1); and a sharing destination terminal (3) for receiving key information. The sharing destination terminal (3) sends inherent information to the distribution device (2). During the registration process of registering key information in the object device (1), the inherent information is input to the object device (1).

The invention relates to a cluster management method and device based on trusted long connection and a storage medium, a trusted management center cluster at least comprises a prepositive server and a plurality of trusted management centers, and the method comprises the following steps: the prepositive server obtains a registration request of a terminal; and determining a target trusted management center in the plurality of trusted management centers based on the registration request. According to the method, the target trusted management center can be determined in the plurality of trusted management centers through the registration request of the terminal acquired by the prepositive server, and the data interaction between the target trusted management center and the terminal can be realized based on the trusted long connection under the condition that the terminal is successfully registered, so that the user experience can be improved under the condition that the network data security is ensured. The trusted terminals are safely, reliably and extendibly managed, the number of the managed terminals is not limited by the system and network resources, and only the trusted management center nodes in the cluster need to be expanded.

The present discourse relates to a method for managing a parameter of a communication-based master-slave control system, and has an effect of storing and applying parameters of all slave devices in a non-volatile memory in a master device, thereby enabling the slave devices to be set-up in a position where an operator is difficult to access or dangerous by a parameter stored in the master device, thereby simplifying maintenance of the slave devices and ensuring safety of a user.

The utility model relates to a truck chassis assembly and a 4 * 2 truck, a truck chassis comprises a frame, a transmission, a drive axle, an engine and a connecting component, and the transmission is arranged on the frame; the drive axle is arranged on the side, away from the transmission, of the frame and connected with the transmission. The engine is arranged on the frame and is connected with the drive axle through the transmission; the transmission is connected with the frame through a connecting assembly, the connecting assembly and the frame jointly form a wire passing groove suitable for a pipeline harness to penetrate through, the connecting assembly comprises a support and a suspension which are connected with each other, the support is used for being connected with the transmission, and the suspension is used for being connected with the frame. The support, the suspension and the frame jointly define the wire passing groove which penetrates through and accommodates the pipeline harnesses of the engine and the transmission, so that the pipeline harnesses of the engine and the transmission can be effectively managed and protected, it is ensured that the pipeline harnesses are safely and neatly installed on the frame, and good layout and arrangement are provided.

The invention discloses a power distribution network-traffic network-charging station layered operation scheduling method based on three-phase imbalance, relates to the technical field of electric vehicle charging station energy management and transaction, solves the layered energy scheduling and transaction problem of an EVCS by establishing a three-stage method, and firstly solves the day-ahead traffic distribution problem of a traffic system; determining the charging load of each electric vehicle; secondly, solving the profit maximization problem of an electric vehicle manufacturer so as to determine energy scheduling and market participation decisions of the electric vehicle manufacturer; and finally, ensuring network operation of production consumer transactions by using a dynamic operation envelope, expressing a power distribution system operator problem as a three-phase imbalance three-phase optimal power flow (OPF) model integrated with a bilateral bidding mechanism, and introducing grid characteristics such as network reconstruction and tapping transformation into the OPF model to ensure the effectiveness of the framework.