33 results about "Industrial service" patented technology

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 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.

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 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 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 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 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.

The application discloses an authentication method of an industrial micro-service system, relates to the field of computers, and is applied to a request client in the industrial micro-service system, wherein a unified authorization server generates an access token, and a target industrial server verifies the identity of the request client based on an IP address and a communication port number in the access token. The identity verification of the request client through the IP address and the communication port number can effectively avoid the problem that the access token is used by a third-party system after the access token is leaked, and the validity period of the access token is not limited, so that the situation that a token update request needs to be frequently initiated and the like is avoided, the information leakage caused by the token leakage is effectively avoided without increasing the system load, and the safety and reliability of the authentication process of the industrial micro-service system are ensured. The application further discloses an authentication device of the industrial micro-service system and a computer medium, which have the same beneficial effects as the authentication method of the industrial micro-service system.

The invention provides a quantitative service performance evaluation method and system for an intelligent industrial service ecosystem, and the method comprises the steps: a designer evaluation step: employing a constructed evaluation model to evaluate a service performance index, and obtaining a first evaluation score; the service performance indicators comprise a microscopic service performance indicator, a mesoscopic service performance indicator and a macroscopic service performance indicator; a consumer evaluation step: evaluating the microscopic service performance index to obtain a second evaluation score; and in combination with the first evaluation score, calculating to obtain a final evaluation score. The advantages of different multi-criterion decision algorithm models in performance score evaluation are fully exerted, the characteristics of different related benefit party groups can be fully considered, semantic evaluation input information of the different related benefit party groups can be processed, so that the service performance index scoring precision is improved, a scheme is configured for subsequent optimization of intelligent industrial services for operating enterprises, and the method has a good application prospect. Therefore, the satisfaction degree of each related party is improved, the service cost is reduced, and sustainable development transformation of an industrial scene is promoted.

The invention relates to a multi-mode belt conveyor driving fault intelligent diagnosis and early warning system and method, and belongs to the technical field of belt conveyor driving system fault diagnosis. The system comprises a substation acquisition unit, a field sensing unit, an industrial audio acquisition unit, an industrial server and a system client. Multi-mode signals such as current, voltage, vibration, temperature and audio of key components in the driving system are collected and transmitted to an industrial server through an industrial Ethernet for multi-mode signal noise reduction processing, a fusion matrix is constructed, a dynamic threshold value is corrected in real time based on the load rate and the environment temperature, local decision making is carried out, and the dynamic threshold value is corrected in real time. And the D-S evidence theory is adopted to realize accurate traceability of the fault component. The method has the advantages of strong anti-interference capability, dynamic self-adaption of the threshold value, high decision interpretability, high response speed and the like, can effectively realize real-time monitoring and intelligent pre-diagnosis alarm of the driving fault of the belt conveyor, remarkably improves the early warning accuracy and efficiency, and reduces the maintenance cost.

A quality assurance method, performed in a device, includes defining a set of states of a joint system of a communication service provider and a consumer of the service, defining a set of actions each corresponding to a change of one or more QoS characteristics of the service, using a partially observable Markov decision process (POMDP) to define a control policy mapping beliefs about the state of the joint system to preferred actions taken on the service, receiving observations indicative of performance indicators of a process performed by the consumer, updating a belief about the state of the joint system based on the observations, and using the control policy to control the service to make the service operate more efficiently while fulfilling a service level agreement (SLA) with the consumer. A device, joint system, computer program and computer program product are also provided.

The utility model discloses a clean room environment monitoring system, this system includes the LIMS system of installation on industrial server, environmental monitoring instrument, data acquisition module, data concentrator and controlled equipment, environmental monitoring instrument includes the dust particle sampling counter and planktonic bacteria sampling counter through pipeline and the connection of air extraction system, the LIMS system has integrated experiment reservation and data analysis function module, is used to receive environmental data and carries out analysis and judgment, and then generates instruction control controlled equipment, industrial server carries out data interaction with data concentrator, and through wired or wireless network and remote control component two -way communication connection. The utility model discloses through real -time monitoring and intelligent analysis and judgment, has realized clean room environment's all -round, intelligent, pre -judgment formula monitoring and guarantee, has avoided experiment pollution risk effectively, and has reached the effect of energy -conserving and loss -reducing.

The application provides a kind of intelligent nuclear power integration service system, method and monitoring system, it is related to industrial internet platform technical field, the service system is applied to nuclear power attribute business middle station, it includes: industrial internet unit, business processing unit and industrial service unit;Industrial internet unit is used to obtain nuclear power data, and sends nuclear power data to business processing unit;Business processing unit is used to generate the microservice corresponding to nuclear power service attribute according to the nuclear power data nuclear power service attribute, and sends microservice to industrial service unit;Industrial service unit is used to generate corresponding service interface according to the microservice corresponding to nuclear power service attribute, and the microservice corresponding to nuclear power service attribute and service interface are registered in service.The service system, method and monitoring system provided by the application can realize the construction of unified business data system around nuclear power service attribute, and ensure the uniformity and integration of application development mode.

The invention provides an edge computing node deployment method and system suitable for a 5G industrial private network, and relates to the technical field of computing node deployment, and the method comprises the steps: displaying an MEC node configuration page, obtaining MEC node basic configuration information and industrial service resource configuration information, generating deployment parameters, and sending the deployment parameters to a target terminal. An MEC operation environment supporting network slice logic isolation, multi-WAN port route backup and GRE tunnel main and standby disaster recovery is deployed; performing a network quality test and a disaster recovery switching test in response to the debugging instruction, and if an industrial-grade preset operation condition is met, constructing an edge computing node; registering node metadata, and identifying slice affiliation, disaster recovery link information and hardware identification; the system correspondingly comprises a configuration display module, a configuration information acquisition module, a deployment parameter generation module, a deployment execution module, a debugging and construction module and a node registration module. According to the invention, automatic deployment and verification are realized, the problems of low industrial scene deployment efficiency and poor reliability are solved, and the requirements of ultralow time delay, high bandwidth and high reliability are met.

The invention provides an intelligent analysis method and system for industrial services of a large-model-driven chemical industrial park and a medium, and relates to the technical field of computational analysis, and the method comprises the steps: reading a plurality of projects of each input enterprise participating in the chemical industrial park; performing time alignment division on the plurality of projects according to the plurality of time period nodes, and outputting a plurality of groups of project sets; driving the training collaborative gain large model to combine each group of project sets in the plurality of groups of project sets, and analyzing project collaborative indexes of the enterprise combined solution to obtain a plurality of project collaborative indexes; and evaluating a cooperative gain index of the plurality of project cooperative indexes, and if verification of the cooperative gain index by using a preset gain rule is passed, outputting the enterprise combination solution as an enterprise matching result of the chemical industry park. Through the method, the technical problem that in the prior art, the synergistic effect between enterprise projects in a chemical industry park is difficult to accurately describe can be solved, and the technical effect of improving the describing accuracy of the synergistic effect between the enterprise projects is achieved.

Provided is a wide-area cloud manufacturing industrial service system and method based on an Internet of Things large model. The system includes a service cloud platform and a user platform. The service cloud platform is configured to: acquire a constraint indicator; determine first service data from historical service data corresponding to a user based on the constraint indicator; in response to the first service data satisfying a user demand, display the first service data to the user; in response to the first service data not satisfying the user demand, determine a candidate service pool based on the constraint indicator and the user demand, and generate a matching degree between each candidate service data and the user demand; and take one or more candidate service data whose matching degree satisfies a preset matching condition as one or more second service data, and present the second service data to the user.

The invention relates to the technical field of organic silicon materials, and discloses a bimetallic catalyst for DMC synthesis and application thereof, the bimetallic catalyst comprises a carrier and a bimetallic active component loaded on the carrier; the bimetallic active components comprise platinum (Pt) and tin (Sn), and the bimetallic catalyst is prepared by an atomic layer deposition technology and is dispersed on the surface of the carrier. Compared with the prior art, the bimetallic catalyst for DMC synthesis and the application thereof have the advantages that the catalytic selectivity of a target ring body in DMC synthesis is improved, the content of byproducts is reduced, the carbon deposition resistance and poisoning resistance of the catalyst are enhanced, the industrial service life is prolonged, the content of the DMC ring body is accurately regulated and controlled, and the total ring body purity is high.