47 results about "Industrial service" patented technology

The invention provides an intelligent nuclear power integrated service system and method and a monitoring system, and relates to the technical field of industrial internet platforms, the service system is applied to a nuclear power attribute business platform, and the service system comprises an industrial internet of things unit, a business processing unit and an industrial service unit; the industrial internet-of-things unit is used for acquiring nuclear power data and sending the nuclear power data to the business processing unit; the business processing unit is used for generating micro-services corresponding to nuclear power business attributes according to the nuclear power business attributes of the nuclear power data and sending the micro-services to the industrial service unit; and the industrial service unit is used for generating a corresponding service interface according to the micro-service corresponding to the nuclear power service attribute, and performing service registration on the micro-service corresponding to the nuclear power service attribute and the service interface. According to the service system, the method and the monitoring system provided by the invention, a unified service data system can be constructed around nuclear power service attributes, and the uniformity and integration of application development modes are ensured.

The invention provides an information transmission method and device, a base station, industrial equipment and a readable storage medium, and relates to the technical field of communication. The method comprises the following steps: a base station receives a first service data packet sent by industrial equipment, or the base station sends a second service data packet to the industrial equipment; wherein a first information domain carried in the first service data packet is used for resource scheduling of industrial services; the second information domain in the second service data packet is used for adjusting service parameters of the industrial service. According to the invention, the problem of system resource waste caused by excessive reserved resources in the existing industrial service transmission can be solved.

The invention relates to the technical field of data fusion, in particular to an efficient rural industry fusion development platform system which comprises a resource management module, a technical support and training module, an agricultural special product brand construction module, an industry planning module, a production management module, a marketing promotion module and a cooperation docking module. The resource management module is used for collecting, sorting, analyzing and deploying various resources involved in the rural industry development process; the technical support and training module analyzes agricultural production data, forms a collaborative development pattern by fusing agriculture, processing industry, service industry, popularization and other industrial fields in rural areas, can depend on big data, cloud computing and other modern information technology means, can accurately meet market demands, and has a good application prospect. The method finds a wider sale for local agricultural products, improves the added value of products, and can help farmers and enterprises to obtain market information in real time, optimize production decisions, reduce cost and increase income.

The application relates to the field of communication technology, in particular to an industrial service NgTLD identification allocation and resolution coordination method, which comprises the following steps: step 1: a server presets a public encryption algorithm, a public layer generates a public private key and a public public key based on the public encryption algorithm, generates a public digital certificate based on the public private key and a public signature, and the public public key is disclosed to the server; the public layer registers a private domain digital certificate based on the consent information of all private domain layers under jurisdiction; in the technical scheme provided by the application, when the NgTLD identification is resolved, it is a kind of decentralized behavior, only needs to download the corresponding public key in the public network layer or the public server, and the legality of the NgTLD identification can be verified. In practice, each receiving device only needs to update the public key information added in the server in time, so that after the NgTLD identification is obtained, whether the NgTLD identification is correct can be accurately judged, and the source and identity of the information are judged.

The invention relates to the technical field of digital information transmission, and discloses an industrial heterogeneous network multi-protocol fusion networking and communication system, which comprises a heterogeneous access and semantic classification engine used for analyzing a native data identifier to determine an industrial service grade and dynamically redirecting the grade according to a system state context; the multi-dimensional dynamic queue manager is used for isolating the data frames to the virtual channel queues according to levels and monitoring the queue depth to generate priority-based flow control pause signals; according to the invention, the semantic blindness of a transmission layer is solved at a gateway entrance, and a deterministic transmission channel which is free from non-real-time data flow blocking is provided for key real-time data through mechanism coupling of industrial semantic perception and strict priority scheduling.

The invention provides a wide-area cloud manufacturing industrial service system and method based on an Internet of Things large model. The system comprises a service cloud platform and a user platform, wherein the service cloud platform is configured to obtain a constraint index; determining first service data from historical service data corresponding to the user based on the constraint index; responding to the condition that the first service data meets user requirements, and displaying the first service data to the user through a user platform; and in response to the condition that the first service data does not meet the user demand, taking one or more candidate service data of which the matching degree meets a preset matching condition as one or more second service data, and presenting the one or more second service data to the user through the user platform. Through the system, real demands of a manufacturing enterprise can be obtained, and accurately matched service data is provided for the manufacturing enterprise, so that high-quality operation of wide-area cloud manufacturing industrial services is supported.

1. Name of the designed product: humanoid robot. 2. Use of the designed product: robot for industrial, service and other fields. 3. Design points of the designed product: in shape. 4. Picture or photo best indicating the design points: perspective view 1.

A method for recommending industrial service components based on deep learning provided by the present invention includes the following steps: obtaining a historical service component sequence and description information of a single service component from edge nodes; encoding the preprocessed data to obtain corresponding vector representations, and generating a masked sequence after masking the vector representations; predicting a sequence adjacent to the vector representations, and combining the prediction result with the masked sequence to obtain a semantic vector; constructing a service scheduling sequence and a semantic library of a single service component according to the semantic vector, obtaining a target service request, obtaining a target semantic vector by matching with the vectors in the semantic library, and obtaining a target component scheduling sequence by matching according to the sequence of the target semantic vector in the semantic library; the method can achieve a global dynamic update recommendation effect, and solves the problem that the service component recommendation technology cannot be applied to the computing resource limitation of edge nodes in a centralized environment, and can be widely applied to the field of computer technology.

The invention relates to a data acquisition device and a data acquisition method based on a Bergai programmable controller. The data acquisition device comprises a production equipment flow control unit, a switch and an acquisition server, the production equipment flow control unit comprises a plurality of Bergai programmable controllers; the acquisition server is an industrial server containing an acquisition program; and the Bellyfish programmable controller, the acquisition server and the switch are connected through network cables. The acquisition method comprises the following steps: acquiring a data structure of data information of a Bergai programmable controller in a production equipment flow control unit to obtain a global variable and a task internal variable; and transmitting and storing the global variable and the task internal variable in a data server through an acquisition program in an acquisition server. According to the Bergai programmable controller, the switch and the acquisition server, data acquisition of the production equipment is realized through direct acquisition, the data manageability of the production equipment is enhanced, and the read data is uniformly stored and managed according to variable names under the condition of traditional data dispersion.

A monitoring and control system for surface equipment used in industrial services is disclosed. The monitoring and control system may include one or more sensors configured to collect sensor data from the surface equipment, and one or more control devices configured to control one or more operations of the surface equipment. The monitoring and control system may include a data acquisition and control apparatus coupled with the one or more sensors and the one or more control devices. The data acquisition and control apparatus may be configured to receive the sensor data from the one or more sensors and transmit control information to the one or more control devices.

The invention belongs to the technical field of robot structure design and intelligent optimization, and particularly discloses a micro motor direct-driven dexterous hand double-layer optimization design method, which realizes configuration and proportion parameter collaborative optimization through two-stage optimization: firstly, extracting the geometric dimension of a dexterous hand as a gene variable, setting a physical boundary constraint, and then, carrying out two-stage optimization; constructing a parameterized model library in combination with normalized mapping and template rendering technologies; through Monte Carlo random sampling, convex hull volume calculation and a CMA-ES algorithm, an optimal macroscopic configuration is screened from multiple thumb distribution and motor integration modes; and finally, introducing a human action data sequence, and finely adjusting microscale parameters through a double-layer architecture of outer-layer parameter search and inner-layer pose matching. According to the method, the hardware trial and error cost is greatly reduced, the cooperation work space of the dexterous hand is expanded, the personification operation safety and the physical feasibility are improved, and the method is suitable for direct-drive dexterous hand research and development in the fields of industry, service and rehabilitation robots.

The invention discloses a supply chain dynamic optimization control device, which comprises a console serving as a core carrier, and is characterized in that a central processing module including an industrial server cluster, an edge computing node and an AI accelerator card is integrated in the console; the multi-source data integration module is connected with an equipment layer sensor, a system layer management system and an external data source through hardware interfaces; a decision engine hardware board card and feedback learning firmware are arranged in the closed-loop control module; the man-machine interaction module comprises a multi-screen display system and an industrial touch screen; the console is mounted on the upper end face of the console. According to the invention, real-time dynamic optimization of the whole link of the supply chain is realized, closed-loop control is constructed by fusing equipment layer, system layer and cloud multi-source data and depending on triple algorithms of demand prediction, inventory optimization and path planning of a decision engine hardware board card, an edge computing node responds to an abnormal event in a 200ms level, and the system and the method cooperate with a central AI to realize real-time dynamic optimization of the whole link of the supply chain. And feedback learning firmware continuously corrects model parameters, so that the system dynamically adapts to market fluctuation.

1. Name of the design product: General industrial service processing unit and its main body. 2. Use of the design product: The overall and partial uses of this design product are both for industrial expansion boards (baseband boards), which are docked with the workshop OT network for local service diversion. 3. Design key points of the design product: lie in the local shape to be protected. 4. Picture or photograph that best shows the design key points: Perspective view of Design 1. 5. Design 1 is designated as the basic design. 6. Other situations that need to be explained: Other explanations: The parts not required to be protected are shown by dashed lines in the figure.

1. Name of the product in this design: Intelligent Humanoid Robot. 2. Application of this design: It is intended for use in various scenarios requiring intelligent humanoid robots, such as industry, service industry, and agriculture. 3. The key design feature of this product is its shape. 4. The picture or photo that best illustrates the key design points: Design 1 3D diagram 1. 5. The top surface of this design product is a part that is not easily seen or cannot be seen during use, so the top view of Design 2 is omitted; the bottom surface of this design product is a part that is not easily seen or cannot be seen during use, so the bottom view of Design 2 is omitted. 6. Design 1 is designated as the basic design.

1. The name of the design product: electronic device industry service system integrated innovation kernel technology software visual graphical user interface. 2. The use of the design product: an electronic device. 3. The design points of the design product: the interface content of the graphical user interface in the screen. 4. The picture or photo that best indicates the design points: front view. 5. The use of the graphical user interface: for running programs. The front view is the initial interface of the software. In the front view, click on the website integration summary to enter the change state diagram.

1. Name of the product in this design: Intelligent Humanoid Robot. 2. Application of this design: It is intended for use in various scenarios requiring intelligent humanoid robots, such as industry, service industry, and agriculture. 3. The key design feature of this product is its shape. 4. The picture or photo that best illustrates the key design points: Design 1 3D diagram 1. 5. The top surface of this design product is a part that is not easily seen or cannot be seen during use, so the top view of Design 2 is omitted; the bottom surface of this design product is a part that is not easily seen or cannot be seen during use, so the bottom view of Design 2 is omitted. 6. Design 1 is designated as the basic design.

The invention discloses an industrial service network anomaly reconstruction method, device and system, and a storage medium. The method comprises the following steps: S1, constructing an industrial service cooperation network; dividing the sub-graphs into different sub-graphs according to plant area positions and service cluster categories; s2, in different sub-graphs, propagation embedding is carried out through interaction and cooperation information of the industrial main body and the service cluster in the sub-graphs, and complex high-order information in the different sub-graphs is obtained; s3, aggregating the high-order information of the different sub-graphs to obtain feature information after fusion of the different sub-graphs; and S4, performing prediction by using an inner product according to the embedded representation of the fused industrial subject and service. By adopting the technical scheme of the invention, the problem that the precision of network reconstruction is restricted due to the fact that a traditional model cannot fully learn position attributes and cluster characteristics of industrial services is solved.

The invention relates to the technical field of modernized industry, and discloses a digital operation service method for comprehensive service of the modernized industry, which comprises an external environment and an access layer, and the output of the external environment and the access layer is used as the input of a digital operation core platform. The output of the digital operation core platform is used as the input of the digital service application layer, and the output of the digital service application layer is used as the input of safety and operation and maintenance guarantee. According to the digital operation service method for the modern industry comprehensive service, the system can efficiently and accurately integrate industrial data from different channels and different formats through the external environment and the access layer, and transmit the industrial data to the digital operation core platform in real time, so that the industrial efficiency and the core competitiveness are improved; the digital operation core platform is the core of the system, carries out rigorous cleaning, conversion and deep integration on mass data, carries out deep analysis by using an advanced data mining algorithm, and extracts valuable commercial insight and decision support.

The embodiment of the invention provides an industrial service network resource allocation method and device based on affinity, electronic equipment and a storage medium, and relates to the technical field of resource management. According to the method, the resource ratio of each service node in the industrial service network at the current moment is obtained, the overall benefit of the industrial service network is calculated according to each resource ratio and an affinity matrix among the service nodes, and the resource allocation on each service node is adjusted according to each resource ratio and the overall benefit. And the overall benefit reaches the preset condition. Therefore, the resource allocation of each service node is more reasonable according to the affinity matrix of each service node in the industrial service network.

The invention discloses a physical AI autonomous perception industrial service virtual-real fusion method and system, and belongs to the technical field of industrial service virtual-real fusion, and the method comprises the steps: carrying out the construction of a physical world high-fidelity sensing matrix through the deployment of a multi-mode intelligent sensing network, and extracting the core characteristics of a space coordinate, a time sequence and the like through the high-fidelity sensing matrix. The method comprises the following steps: constructing a dynamic feature vector set, reversely deducing virtual model parameters through a physical law, ensuring that the model accords with the physical law, realizing real-time data synchronization and instruction feedback through a bidirectional mapping channel, enabling the model to continuously adapt to environmental changes through a dynamic parameter adjustment mechanism, and introducing a reverse modeling and bidirectional mapping mechanism. And physical rule constraint and real-time data driving are combined, so that the accuracy and timeliness of virtual-real mapping are remarkably improved.

The invention provides an industrial control system information transmission fault early warning system, which is deployed in an industrial server and is in communication connection with an industrial control terminal, a communication base station, sensor acquisition equipment and a safety early warning device, and comprises a parameter acquisition and mapping module used for acquiring performance parameters of an industrial technology carrier, mapping the performance parameter into a quantitative state of at least one factor influencing the information transmission performance in a preset human factor reliability analysis model; the coupling analysis module is used for receiving quantitative states of the factors and calculating probability distribution of various personnel operation behavior modes; the early warning control module is used for calculating a human factor error probability according to the probability distribution of the personnel operation behavior mode, sending a trigger instruction to the safety early warning device when the human factor error probability exceeds a preset risk threshold value of an industrial scene, and adjusting the priority of a related communication link at the same time, the risks of instruction transmission errors and equipment state feedback deviation of the industrial control system are reduced.

The invention discloses a configuration and access management method for an industrial-grade communication virtual private network. The method comprises the following steps of: realizing connection parameter configuration and terminal access management of a plurality of network function entities from an industrial internet terminal to an industrial service control master station through a telecommunication public network by utilizing a configuration and access management function entity; the telecom operator or telecom proxy configuration function master station configures APN parameters of the operator communication module and performs access management of 4G / 5G communication modules and the like; the industrial virtual private network service provider carries out configuration and access management on the multi-telecom operator APN combination parameters of the industrial communication terminal; and the operation responsible party of the industrial virtual private network performs service port configuration and service access management on the operation control parameters of the industrial service terminal and the communication terminal. According to the invention, domain-division decentralized configuration of the industrial internet terminal can be realized, and security access management is enhanced, so that technical support is provided for deployment of industrial control services in a wide area network of an operator.

Industrial internet of things (IoT) system for service processing, including an industrial IoT subsystem and a service cloud platform. The industrial IoT user platform is configured to receive application data of users and upload it to the industrial IoT service platform; the industrial IoT service platform is configured to generate second data based on first data, and upload the second data and the application data to the service cloud platform; the service cloud platform is configured to determine calculation parameters based on the application data, and control, based on a target database, a target computing terminal with the calculation parameters to perform operations; and the industrial IoT service platform is configured to send recommended operation data and service data to the industrial IoT user platform in response to receiving the recommended operation data and the service data to display to the users.

1. Name of the product in this design: Embossed Intelligent Robot (Wheeled Humanoid). 2. Application of this design: It is intended for use in various scenarios requiring intelligent robots, such as industry, service industry, and agriculture. 3. The key design feature of this product is its shape. 4. The image or photograph that best illustrates the design's key points: a 3D model.

An industrial service device fleet management system implements an organized and easy to use methodology to manage the digital content stored on each of a plurality of portable or stationary devices used in a plant, such as portable maintenance devices, to assure that each of the portable devices receives or implements only the content that it is supposed to have and is upgraded at the appropriate time to include new content, features, etc. The fleet management system includes a memory for storing information related to the fleet of portable or stationary devices including device identifications, device descriptions, end user names and privileges, the current content of each of the portable devices, and templates defining configuration parameters for the portable or stationary devices. The system also includes a content downloader that obtains, stores, and downloads content (such as software and firmware upgrades, additional features, applications, drivers, knowledge articles, etc.) for execution or display in various ones of the portable or stationary devices, includes a content decider module that analyzes when and if various ones of the portable or stationary devices should be provided additional or new content, and includes a notification system that notifies users of the portable or stationary devices of the need to upgrade or provide new content to the portable or stationary devices.

The utility model relates to the technical field of computers, in particular to a hardware redundancy watchdog device for monitoring an industrial server. The chip connection module and the alarm module are respectively connected with the single chip microcomputer; the single-chip microcomputer comprises a central processor. The chip connection module comprises a physical layer chip, a network isolation chip, an RS485 interface chip and a network port chip. Wherein one end of the central processing unit is connected with the alarm module, the other end of the central processing unit is connected with an industrial server through the RS485 interface chip or the internet access chip, and the physical layer chip is connected with the central processing unit and the internet access chip. The network isolation chip is respectively connected with the central processing unit and the RS485 interface chip, the problem of how to monitor the running state of the industrial server in real time is solved, the running state of the industrial server is monitored in real time, and the later troubleshooting time is shortened.

The invention relates to a method for operating a cross-communication domain system (1), comprising the steps of: receiving, by an industrial service intention processing device (10), an industrial service intention (9), the industrial service intention (9) comprising service requirements (7) for an industrial service (5) of an industrial application (4) across the communication domain system (1); determining, by the industrial service intent processing device (10), network requirements (8) relating to the wireless system (6) based on the industrial service intent (9) and wireless system parameters (11) of the wireless system (6); providing, by the industrial service intent processing device (10), the network requirements (8) to a service network function plant (13) of the wireless communication system (2); based on the network requirements (8), a service virtual network function (18) is initialized to provide the network requirements (8) to the industrial service (5) to use the wireless communication system (5).

The invention discloses an operator-based container mirror image hot loading method, which comprises the following steps of: constructing a protocol of an operator module based on a rule of an industrial control service, and obtaining a hot loading mirror image list through monitoring of the operator module and summarizing service instances of Kubernetes CRD based on the protocol; on the basis of the hot loading mirror image list, a real-time monitoring list and a local mirror image monitoring list of the hot loading mirror image list are achieved by deploying a monitoring agent of each node, and a mirror image difference list between each node and a target state is obtained; based on the mirror image difference list, a container mirror image loading tool is called at idle time to execute synchronization and cleaning operation, so that a node in an actual loading ready state is kept consistent with a hot loading mirror image list; and the industrial service container is scheduled to the cached mirror image node through the Kubernetes scheduler, so that the rapid recovery of the industrial application fault is realized.

A monitoring and control system for surface equipment used in industrial services is disclosed. The monitoring and control system may include one or more sensors configured to collect sensor data from the surface equipment, and one or more control devices configured to control one or more operations of the surface equipment. The monitoring and control system may include a data acquisition and control apparatus coupled with the one or more sensors and the one or more control devices. The data acquisition and control apparatus may be configured to receive the sensor data from the one or more sensors and transmit control information to the one or more control devices.

The invention provides an intelligent factory network architecture construction method based on a multi-modal network. The method comprises the following steps: constructing a data center network, a security management network, an intelligent office park network, an intelligent vision network, an AGV park network, a factory network and an exit network; each network is connected through a core-level multi-mode network element; the core-level multi-mode network element adopts dual-computer deployment to ensure the reliability of a link, adopts an architecture of an FPGA (Field Programmable Gate Array) and a special exchange chip to realize nanosecond-level data forwarding, and solidifies industrial protocol analysis logic in the FPGA to improve the protocol processing efficiency; the access-level multi-mode network element, the convergence-level multi-mode network element and the core-level multi-mode network element support loading and unloading of a custom protocol and are provided with unified control interfaces. The method is applied to intelligent factories and can support continuously evolved complex industrial services.