14results about How to "Realize full lifecycle management" patented technology

The application discloses a kind of 5GC network element automation methods and devices based on multidimensional data, belongs to IT and software development technical field, the 5GC network element automation includes network element equipment and number of pipes, obtains the state of network element equipment and number of pipes of the network element equipment;In the network element equipment and the network element equipment of number of pipes state are all successful, the 5GC network element automation is successful.The 5GC network element automation method based on multidimensional data disclosed in the application can solve the technical problems that the current 5GC network element collection cycle is long, and the difficulty of management and monitoring is great.

The application discloses a kind of general task scheduling framework systems and methods supporting dynamic arrangement, belong to computer software system architecture technical field, including framework engine core, field adaptation layer and functional plug-in;The framework engine core is the general scheduling execution engine irrelevant to specific business field, including resource abstract module, task abstract module, dynamic arrangement and execution engine and plug-in warehouse and manager;The resource abstract module defines uniform resource description interface, and converts original resource data into resource image.The application can dynamically retrieve, load plug-in and assemble into exclusive plug-in workflow according to the unique needs of individual task from plug-in warehouse during scheduling operation by dynamic arrangement mechanism, realize the "thousand people thousand faces" and "one task one strategy" of scheduling strategy, so that scheduling strategy can dynamically adapt to task demand, completely solve the defect that static strategy cannot match individualized needs of task.

The invention discloses an intelligent control system based on multi-source data fusion, which belongs to the technical field of intelligent control and comprises a data acquisition preprocessing module, a data fusion module, an equipment health state predictive diagnosis module, a multi-target adaptive control strategy generation module, a cooperative control distribution module and a real-time feedback parameter optimization module. According to the invention, the intelligent control system based on multi-source data fusion is constructed, so that the full-life-cycle management of the equipment state is realized; according to the system, standardization processing of a data acquisition and preprocessing module, causal association modeling of a data fusion module, residual life prediction and fault identification of a health state predictive diagnosis module, and dynamic optimization of a multi-target adaptive control strategy generation module are carried out; through distributed execution of the cooperative control distribution module and closed-loop correction of the real-time feedback parameter optimization module, the reliability of equipment operation, the energy efficiency optimization capability and the maintenance response speed are remarkably improved.

The application relates to a debugging method for self-modeling access of a network protection device to a master station, which comprises the following steps: S1, constructing a standardized protection signal rule library and a protection parameter rule library in advance on the master station side; S2, reading self-description model information reported by the network protection device and performing integrity check on the self-description model information; S3, intelligently analyzing and adaptively accessing by the master station based on the self-description model information and the protection signal rule library and the protection parameter rule library, including: performing model automatic point matching and consistency check, protection signal intelligent access, protection parameter intelligent access, signal and parameter logic consistency check and automatic setting value management; and S4, based on the protection signal rule library, the protection parameter rule library and the access result, performing panoramic monitoring and evaluation on the adaptive access situation of the global network protection device. The application can improve the access efficiency, guarantee the data consistency, enhance the system flexibility and expandability.

This invention discloses a power supply ripple self-detection system and method based on MCU built-in resources, belonging to the field of embedded system power supply monitoring technology. It addresses the shortcomings of traditional digital oscilloscopes, such as high offline measurement costs and inability to achieve full lifecycle self-diagnosis in embedded systems; insufficient sampling rate of MCU built-in ADCs and susceptibility to DC component saturation; and the reliance of existing comparator solutions on external active components. This invention adopts a core architecture of "AC DC blocking + high-gain amplification + dual threshold scanning + digital counting." All active modules in the system are built into the MCU. Specifically, the AC component of the power supply ripple is separated by a DC blocking capacitor, amplified by a programmable gain amplifier, and then an adjustable threshold is generated using a dual digital-to-analog converter. This threshold controls dual high-speed comparators to scan and obtain peak and trough values ​​to calculate the peak-to-peak value, and the period is measured by an internal counter. This invention also supports zero-point calibration, gain adaptation, and online early warning, making it suitable for real-time power health monitoring in industrial control and other fields.

The invention discloses a full life cycle management method and device of equipment, the equipment, a medium and a product, and the method comprises the steps: obtaining stress wave signal data of target equipment, and carrying out the temperature compensation and low-frequency vibration compensation of the stress wave signal data; performing health state analysis on the compensated stress wave signal data to obtain a health index signal of the target equipment; constructing a life cycle early warning network of the target equipment according to the health index signal; and performing full life cycle management on the target equipment according to the life cycle early warning network. By introducing the stress wave signal data to perform quantitative analysis on the dynamic change of the internal structure of the equipment, the running state of the equipment can be comprehensively reflected, and the perception of the equipment state is improved, so that the sensitivity and the response speed to the equipment abnormality are improved, and the full-life-cycle management of the equipment is realized.

This utility model discloses a spray painting device for plastic shells with anti-yellowing capabilities, relating to the field of plastic shell spray painting technology. It includes a base plate and a filtration and recovery mechanism. The filtration and recovery mechanism is fixedly connected to the bottom of the base plate, and includes a collection tank fixedly connected to the bottom of the base plate. A ceramic membrane fine filter layer is provided at the top of the collection tank, and a stainless steel wire mesh coarse filter layer is provided at the top of the ceramic membrane fine filter layer. An output pipe is fixedly connected to the bottom of the collection tank, and a circulating gear pump is fixedly connected to one end of the output pipe. An adjusting spraying mechanism is fixedly connected to one side of the circulating gear pump. The stainless steel wire mesh coarse filter layer is horizontally placed at the paint recovery inlet. Using a stainless steel woven mesh, it physically intercepts paint films with larger diameters. Compared with existing ordinary spray painting equipment, it can recover excess paint, reduce impurities, improve paint utilization, reduce manufacturing costs and waste paint emissions, and improve coating uniformity, thus managing the paint lifecycle in a coordinated manner.

The present application relates to the technical field of nuclear power plant, and more particularly to a method and system for managing intelligent key and lock based on intelligent cabinet, the system comprising: an intelligent cabinet; the intelligent cabinet is provided with a display; the intelligent cabinet comprises an intelligent isolated lock management system; the intelligent isolated lock management system comprises: a ledger management module, a work management module, an intelligent key authorization management module, a lock authorization management module, and a lock and intelligent key state management module; the method comprises: application form approval, taking and using of the intelligent key and lock, returning of the intelligent key and lock, and loss or scrapping of the intelligent key and lock; the present application realizes whole-process management of the lock and key, and improves the precision of management.

The application discloses a standard metadata storage method and a machine readable storage medium, comprising collecting operation data and associated data of a preset coal chemical industry, and preprocessing the equipment data and the associated data; performing multi-modal semantic information extraction on the associated data to obtain information data, performing structured processing on the information data and the operation data to obtain structure data, and constructing a process mapping table according to business terms and the process parameters; the information data comprises incremental information and general information; constructing a coal chemical industry topology knowledge graph according to the structure data and the process mapping table based on a chemical industry association type, performing time sequence coding on the coal chemical industry topology knowledge graph according to a time window and a process unit to obtain dynamic coding; and constructing a coal chemical industry standard metadata storage model according to the dynamic coding, inputting to-be-stored data into the coal chemical industry standard metadata storage model, and outputting a storage result.

The invention relates to the technical field of digital twinning, and provides an energy storage electric platform management method, device and equipment based on digital twinning, and a medium, which can construct a digital twinning body for each energy storage device in a target energy storage electric platform, and when it is detected that a target energy storage device replaces a station, the target energy storage device can replace the station. Non-perception protocol switching is carried out on the target energy storage equipment according to the digital twin, so that the problem of poor multi-protocol compatibility is solved; real-time gray level testing is carried out on the edge side to which the target energy storage equipment belongs, and a fault snapshot packet is generated when abnormity is detected through the real-time gray level testing, so that the problem of fault of research and development, operation and maintenance and daily operation is solved; a three-dimensional thermal field distribution diagram is constructed according to standardized analysis data based on a hidden hot spot prediction mechanism, and the problem of temperature value missing is solved; and according to the fault snapshot packet and the three-dimensional thermal field distribution diagram obtained by the real-time gray scale test, generating a control strategy parameter of the next generation of equipment, thereby forming a management closed loop, and realizing full-life-cycle management of the energy storage electric platform.

This disclosure relates to a cloud-edge collaborative task processing system and program product, implemented jointly by a central cluster and an edge cluster. The central cluster deploys a container orchestration platform, which includes a task controller. The method includes: in response to a task creation request, the container orchestration platform creates a task resource object, and the task controller monitors and records the creation status information of the task resource object. The task resource object includes the layout information of container groups in the central cluster and the edge cluster; the container orchestration platform controls the central cluster to create a first container group and / or controls the edge cluster to create a second container group based on the task resource object, so that the first container group and / or the second container group executes the corresponding task; in response to a status change request of the task resource object, the container orchestration platform performs corresponding operations on the corresponding task resource object according to the status change request, and the task controller monitors and records the status information of the corresponding task resource object after the change.

The application discloses a method for early-stage business cooperation of key projects, comprising the following steps: 1) collecting current key project information, including project basic information, spatial geographic information, industrial layout information, supporting facility information, environmental impact information and policy and regulation information; 2) constructing a key project map based on the current project information by using a geographic information system; 3) in the project planning stage, planning a key project in line with a regional development strategy based on the key project map; in the project site selection stage, determining a project site selection scheme by considering land utilization, traffic conditions and environmental impact factors based on the key project map; and in the project approval stage, an approval party calls project spatial information and related data in the key project map to approve the project site selection. The application forms a planning leading project generation and key project early-stage business cooperation mechanism, and provides protection for key project spatial resource element management.

The utility model discloses an intelligent signal lightning protection device, relates to the technical field of lightning protection equipment, and realizes real-time state sensing and remote fault early warning of a transient voltage suppressor (TVS) by discharging lightning surge step by step through two stages of lightning protection circuits and integrating a temperature monitoring system and an RS-485 communication module. A dual-channel diagnosis architecture and a self-adaptive filtering algorithm are innovatively adopted, the technical bottleneck of offline detection of a traditional lightning protection device is broken through, the method is suitable for scenes such as a 5G base station and a high-speed rail signal system, the operation and maintenance cost is reduced, high-reliability protection is provided for key infrastructures in the era of the Internet of Things, and the safety of the system is improved.

This invention belongs to the field of underwater acoustic target tracking technology, specifically relating to a multi-target tracking method, program, device, and storage medium based on velocity measurement and random finite set theory. This invention constructs a joint probability density model of Poisson-non-Poisson hybrid clutter and combines it with an adaptive clutter rate estimation algorithm to achieve real-time online estimation of clutter intensity, distribution parameters, and clutter rate, overcoming the problems of clutter misjudgment and decreased tracking accuracy caused by model mismatch in traditional methods. This invention constructs a multi-target joint filtering framework that deeply integrates CPHD and GLMB, balancing target cardinality estimation accuracy with track management capabilities. It synchronously transmits multi-target probability hypothesis density, cardinality distribution, and tagged track identifiers throughout the prediction and update process, improving the stability of target quantity estimation and achieving full lifecycle management of single-target tracks, effectively reducing track fragmentation, ID exchange, and false alarm rates under dense clutter.