52 results about "Containerization" patented technology

The invention discloses a multi-modal intelligent question and answer system and interaction method based on a privatized deployment large language model. The system comprises a model containerization deployment module, a multi-round question and answer and intention recognition module, a document analysis and multi-modal question and answer module, a knowledge base construction and retrieval enhancement generation module and a system integration and monitoring module. A DeepSeekR1 large language model, an inference service and a dependency library are packaged into a container mirror image through a containerization operation environment Docker, and unified scheduling and dynamic capacity expansion and contraction are achieved through Kubernetes; realizing context understanding and task distribution by adopting a dialogue state management and intention recognition technology; in combination with OCR, an embedded model BGE / SimCSE and a vector database FAISS / Milvus, semantic analysis and intelligent question and answer of multi-format documents such as PDF, Word and images are supported; and a hierarchical knowledge base is constructed and a retrieval enhancement generation technology is fused to improve the answer accuracy. According to the invention, safe, efficient and intelligent management and interaction of enterprise knowledge are realized.

The invention discloses an LLMOps-based large model efficient operation and maintenance method and system, belongs to the technical field of artificial intelligence, and aims to solve the technical problems of how to realize large model efficient operation and maintenance, ensure that the large model quickly responds to business requirements in the application process and maintain the performance and stability of the large model. Comprising the steps that an LLMOps tool chain is constructed based on a model deployment tool, a model detection tool, a model upgrading tool, a model running tool and a model iteration tool, and the model deployment tool deploys a large model based on containerization and standardization and CI / CD assembly line automation; the model detection tool is integrated with a verification framework and a real-time monitoring system; the model upgrading tool applies a service network technology to implement gray level upgrading and A / B testing; the model running tool realizes elastic expansion and load balancing of the model service based on an automatic capacity expansion and contraction mechanism of the container arrangement platform; and a model dynamic iteration mechanism based on feedback driving is configured in the model iteration tool.

The invention discloses a waste incineration intelligent control system based on artificial intelligence and containerization architecture, and relates to the technical field of waste incineration. Comprising a model reasoning server and a model training server, the model reasoning server and the model training server carry out micro-service packaging of functional modules through a containerization technology, standardized data interaction is carried out between containers based on an HTTP protocol, and the containers are compatible with industrial protocols such as OPC and RTSP to be in butt joint with external equipment. According to the scheme, a distributed containerization architecture design is adopted, a model training server and a model reasoning server are taken as core hardware carriers, micro-servitization packaging of functional modules is realized through a Docker container technology, standardized data interaction is carried out between containers based on an HTTP protocol, and meanwhile, industrial protocols such as OPC and RTSP are compatible to be butted with external equipment, so that the data interaction between the functional modules is realized. And meanwhile, the incineration working condition is predicted in real time through an artificial intelligence model, equipment parameters are dynamically adjusted in combination with a control algorithm, and the incineration efficiency optimization target is achieved.

System and method are provided where parcels or packages are associated or grouped, into logical group or logical containerization of parcels or packages, without need for physical container, such that parcels or packages can be tracked as a group, for example with a unique group ID. Logical group may be tracked within a specified logical zone, transported, sorted and / or otherwise processed as unique logical group in container, or without need to be contained in physical container. System and method for automated sortation can accumulate set number or set volume of packages, and then process the accumulated set number or volume of packages.

The utility model discloses an end cover packaging and cleaning device which comprises a packaging frame, the packaging frame comprises a storage rack and a packaging cage for containing the storage rack, the storage rack is provided with a plurality of fixing rods, and one side of the packaging cage is provided with a lifting grabbing lug; the turnover device comprises a turnover base and a turnover base table rotationally connected with the turnover base, and a turnover driving device is arranged in the turnover base and the turnover base table in a penetrating mode; the functional cleaning tank comprises an ultrasonic cleaning tank, a first cold water tank, a second cold water tank, a hot water tank and an anti-rust liquid tank which are arranged in sequence; the lifting device is used for lifting the pallet from the turnover device to the functional cleaning tank; the electric vehicle end cover cleaning device can effectively solve the problem that an existing cleaning mode is poor in batch cleaning efficiency, and an efficient and feasible solution is provided for the electric vehicle end cover cleaning industry.

The invention relates to a containerized method for the thermal treatment of contaminated solids, pasteous materials, and waste. The system comprises at least one thermally insulated container designed to minimize heat loss and enable material loading from a liftable top panel or a side panel, as well as at least one heat production unit featuring a burner control system and a combustion chamber capable of achieving oxidizing conditions for the complete destruction of contaminants. The method provides simultaneous thermal treatment of materials and vapor-phase contaminant destruction, supported by a ventilation system and a monitoring system for real-time adjustments. In a second aspect, the invention provides a containerized device with comparable operational features, designed for portability and modular deployment, facilitating on-site remediation in remote locations.

The invention relates to a part boxing feasibility discrimination method based on a graph neural network, and the method comprises the steps: S1, receiving the size information of a to-be-discriminated container, and the size information of all to-be-boxed parts; s2, constructing container nodes and part nodes; s3, generating feature representations of container nodes and part nodes; s4, establishing container part edges for connecting the container nodes and the part nodes respectively, and generating feature representations of the container part edges; s5, respectively establishing part edges connected with any two part nodes, and generating feature representation of each part edge based on the size information of the corresponding two parts; and S6, inputting the heterogeneous graph containing the container nodes, the part nodes, the container part edges and the part edges into the trained discrimination model to obtain a discrimination result. Compared with the prior art, the method has the advantages that the discrimination efficiency can be greatly improved under the condition that the high discrimination accuracy is guaranteed, and the like.

The invention discloses an abnormity monitoring method, system, equipment and medium based on a plant station gateway metering point, and relates to the technical field of gateway metering point abnormity detection, and the method comprises the steps: collecting the real-time data of the plant station gateway metering point through an industrial protocol interface, loading a protocol stack in a collection gateway, carrying out the preprocessing of the preliminarily collected data, and carrying out the detection of the abnormity of the gateway metering point; data transmission is carried out on the preprocessed data through a real-time stream processing layer by utilizing a transmission protocol, the real-time data is stored in a memory database, historical data is stored in a distributed file system, data organization and management are carried out, and multi-mode anomaly detection is carried out on the stored data through an anomaly detection service deployed in a containerization mode. And identifying various abnormities, packaging and outputting a detection result, and dynamically rendering through a responsive front-end interface to display the detection result in real time. According to the invention, the multi-mode intelligent detection and containerized elastic architecture are fused, so that the leap-type improvement of the metering abnormity of the plant station from passive alarm to active early warning and deep diagnosis is realized.

The application discloses a kind of based on containerization's application intelligent deployment method and device, the method includes: receiving the application deployment instruction of target application, and according to application deployment instruction, determine the deployment information of target application;According to each target release package, generate each target release package corresponding container, as the all deployment containers of target application corresponding;For each deployment container, deployment container is deployed to corresponding target partition;Start all deployment containers, to carry out deployment to target application by all deployment containers.It can be seen that the application can be deployed intelligently by deployment container, without manual full-process participation in the whole application deployment process, which can not only improve the deployment efficiency of the application, but also reduce the occurrence of runtime environment error, thereby improving the deployment reliability and accuracy of the application, so that the service of the application program can be started smoothly.

The application relates to the technical field of distributed simulation based on containerization deployment and elasticity, and discloses a distributed simulation method and system based on containerization deployment and elasticity, which comprises the following steps: collecting real-time resource monitoring and historical load trend data of a simulation task, and combining simulation calculation complexity parameters and I / O density parameters to perform unified load evaluation, so that fine modeling of the simulation task and resource demand prediction are realized, and the accuracy of task scheduling and distribution is improved; through subtask segmentation based on the minimum executable unit and a standard containerization packaging mechanism, and in cooperation with a container arrangement platform, modular deployment of the simulation task is realized, and then concurrent execution and elastic scheduling in a multi-node environment are supported.

The invention relates to the technical field of cross-platform software transplantation, in particular to a migration adaptation method for regional numerical weather forecast software. According to the method, through the software adaptation step, the problem of compatibility of an instruction set and a system environment when existing regional numerical weather forecast software migrates from an X86 architecture to an ARM architecture is solved, and native operation of the regional numerical weather forecast software on a domestic platform is achieved; through a containerization packaging step, software and a complete dependency environment thereof are packaged into a standard mirror image, so that one-time construction and deployment at any place are realized, and the problem of deployment complexity in different operating system environments is thoroughly solved; through the verification step, containerized software is operated, strict cross-platform comparison testing is carried out, prediction precision is quantitatively evaluated, service functions are ensured to be complete, results are reliable, and key technical support is provided for autonomous controllable and safe sustainable development of a meteorological core service system.

The invention discloses an NSR virtualization method based on a network operating system, and relates to the technical field of switch virtualization. According to the method, NSR function modules are decoupled into independent services through a containerization technology, and uninterrupted operation, uninterrupted maintenance and flexible deployment of NSR services are achieved in combination with high-availability guarantee (fault isolation and automatic recovery), dynamic upgrade (hot update and rolling replacement), lightweight resource management (quota control) and standardized packaging (cross-platform mirroring). According to the method, the system reliability can be improved, the resource utilization rate is optimized, the new function online period is shortened, and the method is suitable for high-availability requirements of a cloud data center and an operator network.

The application discloses a kind of microservice order processing system and method based on dynamic load balancing, it is related to the technical field of microservice, the system is applied to microservice architecture, system includes: event monitoring module, the instance lifecycle event stream of containerization management layer is monitored in real time, the logical relationship of microservice instance and the state attribute of the logical relationship are determined according to instance lifecycle event stream;Intelligent decision module is used to when receiving order task request: according to the real-time load index of microservice instance, determine candidate instance set;The microservice instance in replacement relationship and the state attribute for closing is removed from candidate instance set, obtain safe candidate instance set;Based on the real-time load index of each instance in safe candidate instance set, determine target microservice instance;Order task request and target microservice instance are sent to load balancing layer.The application improves the distribution ability of load balancer in microservice architecture to order task request.

The application relates to a work ticket content recommendation method for intelligent operation and maintenance, which comprises the following steps: S1: uniformly accessing maintenance related data to an unstructured component of a national grid data middle platform, and completing quality evaluation of related files by a quality detection tool; S2: after uniform access, the unstructured component carries out text extraction on document type data uploaded to the unstructured component to form to-be-labeled data through an xxl-job distributed task scheduling system; S3: adopting a bart labeling technology of a Transformer to carry out text labeling on the to-be-labeled data and positioning core content of a work ticket; S4: constructing a work ticket content automatic recommendation model based on a time sequence prediction LightGBM neural network, and carrying out API encapsulation and containerization deployment; and S5: integrating the work ticket content automatic recommendation model with a business system in a micro-service mode, and recommending work ticket preparation content in real time according to problem description uploaded by an operation and maintenance personnel. The application realizes real-time recommendation of high-quality work ticket content.

The utility model discloses kitchen garbage containerization treatment equipment, and relates to the field of containerization treatment equipment.The kitchen garbage containerization treatment equipment comprises a container, a box door is arranged on one side of the container, a pretreatment sorting device and a purification and deodorization mechanism are arranged in the container, and a control cabinet, a treatment pond and a pedal frame are arranged in the container; the pedal frame is located below one side of the treatment pond, and the purification and deodorization mechanism comprises a connecting frame fixedly installed on the inner wall of the top of the container. According to the device, the sucking pump is controlled to be started, gas in the container can be sucked through the gas collecting hood and the gas suction pipe at one end of the gas suction port of the sucking pump, the gas is exhausted into the purifier through the exhaust pipe, and then odor is purified through the purifier; and the functions of integrated transportation, rapid in-place installation, convenient displacement and point distribution use and the like can be realized, so that the convenience and the flexibility during use can be improved.

The invention relates to a containerized method for the thermal treatment of contaminated solids, pasteous materials, and waste. The system comprises at least one thermally insulated container designed to minimize heat loss and enable material loading from a liftable top panel or a side panel, as well as at least one heat production unit featuring a burner control system and a combustion chamber capable of achieving oxidizing conditions for the complete destruction of contaminants. The method provides simultaneous thermal treatment of materials and vapor-phase contaminant destruction, supported by a ventilation system and a monitoring system for real-time adjustments. In a second aspect, the invention provides a containerized device with comparable operational features, designed for portability and modular deployment, facilitating on-site remediation in remote locations.

The invention relates to the technical field of computer-aided engineering, and discloses a CAE elastic simulation architecture based on containerization orchestration, which packages each micro-service of CAE software and an operating environment thereof into an independent Docker container mirror image through a containerization method, realizes decoupling of the CAE software and the operating environment, is convenient to realize rapid deployment and dynamic adjustment of each micro-service of the CAE, and improves the simulation efficiency of the CAE software. And the portability and the deployment efficiency of the CAE software micro-service are improved. Meanwhile, the operation and maintenance management module can dynamically increase Worker nodes according to the load condition of the current computing cluster and a preset elastic strategy and match the Worker nodes for the to-be-executed tasks, resources can be accurately allocated to the to-be-executed tasks, unbalanced resource allocation is avoided, the waiting time of the to-be-executed tasks can be shortened, and the overall simulation efficiency can be improved.

The present application relates to the technical field of intelligent supply chain, and more particularly to a method and system for supply chain optimization decision based on artificial intelligence, comprising the following steps: S1, obtaining forward logistics historical data and product life cycle parameters, performing time series analysis through a machine learning model, and outputting reverse material space-time distribution prediction data; S2, matching the reverse material actually arriving at the collection hub according to the reverse material space-time distribution prediction data, collecting images of the reverse material, evaluating the physical damage degree and determining the packaging state by using a computer vision model, and generating containerization classification instructions and corresponding effective containerization material data.In the present application, for the reverse logistics scene of ship, railway and highway intermodal transportation, the dynamic transport capacity and road conditions of different transportation modes are converted into quantitative resistance, multi-objective path optimization is performed to generate a switching sequence, the reasonable combination planning of cross-transportation modes is realized, and the operation efficiency of reverse material in the multimodal network is improved.

The invention discloses a plug-in type communication architecture supporting multiple industrial protocols. The plug-in type communication architecture comprises a protocol adapter dynamic loading module, a protocol adapter dynamic loading module and a protocol adapter dynamic loading module, wherein the protocol adapter dynamic loading module is used for dynamically loading and unloading adapters of the multiple industrial protocols during operation; the container arrangement module is used for realizing plug-in deployment and automatic discovery of services through a containerization technology; the asynchronous processing and connection pool collaborative optimization module is used for reducing communication time delay through asynchronous I / O processing and connection pool management; and the heartbeat detection and automatic fault recovery module is used for improving the reliability of the system through a heartbeat detection and automatic recovery mechanism. According to the architecture, industrial protocol plug and play and flexible service deployment are realized through protocol adapter dynamic loading and container arrangement, and the system expansibility is improved; through asynchronous processing and connection pool collaborative optimization, the communication time delay is reduced, and the throughput capacity is improved; the reliability and the self-healing capability of the system are enhanced through heartbeat detection and an automatic fault recovery mechanism, and finally collaborative optimization of time delay, multi-protocol compatibility and reliability is realized in a complex industrial environment.

This invention discloses a stability assurance system for electricity meters and terminal systems employing containerization and rapid rollback, relating to the field of power supply or distribution technology. This system generates standardized version images through a containerized environment encapsulation module, coupled with an environment operation status monitoring engine to collect multi-dimensional data in real time. An intelligent rollback decision and control module determines faults based on preset thresholds and automatically triggers rollback. Combined with a data persistent storage volume and task scheduling module, it achieves graceful shutdown of faulty containers, stable image switching, and task resume from breakpoints. Finally, an audit log module records and pushes event notifications. This system achieves 100% consistency of the verification environment, second-level fault recovery, secure version rollback, and fully automated operation and maintenance, significantly improving verification reliability and task continuity, reducing manpower and resource costs, and is suitable for various electricity meter and power terminal equipment verification scenarios.

The invention provides an equipment management method and device, a server, a storage medium and a program product. The method comprises the steps that after a load container is started, device demand information and a host device state corresponding to the load container are obtained through a daemon process, and the device demand information comprises a device file and a device permission; and under the condition that the host equipment state is a ready state, based on the equipment demand information, executing equipment injection operation, and loading equipment to a started load container. By means of the method, the load container can be started when the device is not ready, the life cycle of the load container and the device ready state are separated, the device resources of the operated load container are dynamically adjusted, and the containerization application operation efficiency is improved.

The invention provides an express item logistics information correction method in a packaging process, electronic equipment and a program product, and relates to the technical field of logistics. The method comprises the following steps: in response to a scanning operation on a target express item, displaying express item information of the target express item and an associated container type in a human-computer interaction interface, and displaying a container type correction function entrance; the type of the container comprises a flat box or a cage trolley; the express item information comprises an express item type, and the express item type comprises a type with a flat piece mark or a type without a flat piece mark; and in response to an operation of calling the container type correction function entry, correcting the associated container type, and storing the container logistics information of the target express based on the corrected container type. The method and the device are used for solving the problem that the container logistics data recorded corresponding to the flat piece does not conform to the reality.

The application provides a kind of air conditioning start time prediction method and system suitable for cigarette factory manufacturing process, specifically includes system deployment and operation and maintenance, wherein the system deployment method includes, using the deployment scheme of background containerization, including the deployment of back-end service, the deployment of front-end interface and the deployment of front physical sensor, wherein the back-end service deployment includes deploying dedicated server.The advantage is that the data polling of appropriate time granularity is based on the feature engineering of multi-dimensional data to build a random forest to predict the air conditioning running time prediction, temporary adjustment strategy during prediction execution, and adaptive retraining of later model.The "trinity" air conditioning measurement and control effect of prediction intelligence, adaptive optimization of model and accurate measurement and control result is realized.

The utility model discloses a bulk cargo container, include: outer frame and inner box, outer frame is cage type frame, inner box sets up in outer frame, wherein, the box body of inner box adopts stainless steel composite board to make, the utility model discloses a bulk cargo container, which is made of stainless steel composite board, can effectively reduce the amount of stainless steel material while ensuring the cleanliness of the box, thereby reducing the manufacturing cost of the container, and is conducive to the containerized transportation of goods with high corrosion resistance and cleanliness requirements.

The invention discloses a micro-positive pressure-dew point double closed loop and subdivision autonomous control system and method for a Sagomean energy storage station. The system forms a parallel closed loop of a micro-positive pressure ring and a dew point difference ring through differential pressure and dew point sensing in each separable sub-cabin, and the safety difference value of the micro-positive pressure relative to the outside in the cabin and the safety difference value of the dew point in the cabin relative to the outside dew point are maintained respectively. And subdivision metering and priority distribution are carried out on the drying / air supply resources through the resource scheduling bus, and air path isolation is carried out on subdivisions in case of abnormity. The system combines access control, environmental event feedforward, step pressurization self-inspection and dustproof non-return structures, realizes low dust entry and dew formation resistance, improves the station-level availability rate, and is suitable for containerization / cabin type BESS in the Sagomean environment.

The application provides a mirror image dependency relationship judgment method and system, electronic equipment and a readable storage medium, and belongs to the technical field of containerization. The method extracts layer construction information and layer identification numbers of each layer of a target business mirror image, calculates a hash value, and due to the uniqueness of the hash value, the mirror image dependency relationship analysis is more accurate and faster, accurate, fast and efficient analysis of the mass mirror image dependency relationship in a large warehouse is realized, the consumption of computing resources can be significantly reduced, the dependency relationship between the base mirror image and the business mirror image in the subsequent mirror image construction process is laid as a foundation for automatic identification, and when the base mirror image changes, the business mirror image that needs to be repaired can be accurately identified.

The invention relates to the technical field of packing carton boxing, in particular to a flexible centralized boxing method which comprises the following steps: S1, grouping all part packing cartons; s2, a high-frequency ordered part boxing rule is established; s3, establishing a priority rule; wherein the step S3 comprises the following steps: S31, setting a basic priority rule; s32, setting a first priority rule; s33, setting a second priority rule; s34, setting a third priority rule; s4, carrying out real-time statistics on the number of the packaging cartons of each group of parts to obtain the remaining number of unpacked cartons; on the basis of the group of each group of part packaging cartons and the remaining number of unpacked part packaging cartons, packing is conducted according to the rule in the step S2, and then packing is conducted according to the adaptive rule selected in the step S3. According to the method, the boxing loading rate and the boxing efficiency can be improved through rule matching, sequence optimization and compensation adjustment.

The embodiment of the invention provides a customized service management method and device for a power station server, and relates to the technical field of containerization operation and maintenance, and the method comprises the steps: obtaining the actual operation condition and demands of the power station server; determining the service operation type of each container in the power station server by using a pre-constructed three-dimensional container classification matrix and the actual operation condition and demand of the power station server; and realizing customized service management according to the service operation type of each container in the power station server.

The invention belongs to the technical field of software development, and relates to a containerization transformation method and system based on a Windows test construction tool and a storage medium, and the method comprises the following steps: creating a basic mirror image: taking Windows server core: ltsc2019 as a bottom layer operation system, and constructing a basic environment for container operation; configuring a deployment key: configuring the deployment key corresponding to the code warehouse of the application platform, and establishing a secure connection channel between the container and the code warehouse; installing a registration service: installing the registration service for pulling a devops project from an application platform code warehouse, and synchronizing a project code to a local disk of the container through the service; installing a tool assembly: installing a compiling construction tool, a test tool and an Agent interaction service in sequence in the container environment of the acquired project resources; setting continuous command output: calling a ping command in Windows in an ENTRYPOINT command of the Docker, and keeping the container in a continuous running state; and constructing a mirror image, namely packaging the whole container environment into a reusable mirror image instance by using a docker build-t image: tag command of the Docker.