325 results about "Industrial Factory" patented technology

An automation system controls an automated production process of an industrial plant. The system includes an augmented reality system, including augmented reality glasses and executable program logic coupled to the augmented reality glasses. The executable program logic is configured to receive an up-to-date spatial position of a user wearing the augmented reality glasses from a positioning system, determine coordinates of a bounding space proximate to the user wearing the AR-glasses, display one or more virtual objects to the wearer of the AR glasses via the AR glasses if and only if coordinates of the virtual objects are within the bounding space, and continuously update the coordinates of the three-dimensional bounding space and the virtual objects displayed therein as a function of the up-to-date spatial position of the user wearing the AR glasses.

An automation system controls an automated production process of an industrial plant. The industrial plant includes a plurality of equipment for performing the production process. The automation system includes an augmented reality system including augmented reality glasses, executable program logic and a database system including a task manager configured to store a list of processes associated with respective equipment, where each process includes one or more tasks to be performed with respect to the equipment. The executable program logic is configured to receive from the database system the list of processes for display to a user of the AR glasses, receive a selection of a displayed process assigned to the user, send the selected process to the database system, and receive from the database system additional data corresponding to the selected process.

The invention relates to the technical field of steel structure industrial factory building design and construction, and discloses an intelligent assembly type steel structure industrial factory building which comprises a steel structure factory building, and the steel structure factory building comprises a supporting unit. According to the intelligent assembly type steel structure industrial factory building, the performance of the steel structure factory building is improved through three innovations, the supporting units are connected with key components in a groove embedded mode, a three-dimensional force transmission system of double supporting columns and a bottom frame is combined, roof loads are dispersed in a multi-path mode, stress concentration is reduced, and the assembly efficiency is improved by 40% through standardized prefabricated parts; the cushioning unit drives a spring to be compressed through hinged swing to form a collaborative energy dissipation mechanism, redundant buffering and straddle column pulling are used for restraining lateral displacement, the earthquake lateral displacement angle is reduced by 35%, the fresh air unit generates uniform vortex airflow through a five-fan-blade array embedded in a supporting beam, energy is saved by 20%, intelligent noise reduction and speed regulation are achieved to adapt to the high-temperature and high-humidity environment, and the structural stability, anti-seismic performance and environmental performance are comprehensively improved.

The invention discloses a multi-layer concrete structure construction method based on an embedded support shaped like a Chinese character'tu ', belongs to the technical field of building construction, and solves the problems of overall displacement and out-of-control precision caused by the fact that the bottom of a supporting system is not firmly fixed in traditional multi-layer concrete construction. According to the technical scheme, the method comprises the steps of firstly manufacturing a steel bar welded support shaped like a Chinese character'tu '; pre-burying the support system in lower-layer concrete to serve as a bottom fixing point of a vertical rod of the support system; a supporting system vertical rod is detachably connected with the top of the support; concrete is poured after the formwork is installed and adjusted; cutting the exposed part of the bracket after the concrete is hardened; and repeating the steps to finish multi-layer construction. According to the method, through the rigid pre-embedding and detachable connection design of the support shaped like the Chinese character'tu ', the stability and positioning precision of a supporting system are ensured, and the method is mainly used for rapid and high-precision construction of cast-in-place concrete structures such as high-rise buildings or multi-layer industrial factory buildings.

A method for supporting troubleshooting software and hardware issues in a distributed control system (DCS) associated with an automation equipment in industrial plant includes monitoring data; detecting an anomaly in the monitored data based on predetermined anomaly detection rules; based on a result of the detecting, performing, for a detected anomaly, a similarity search on historic anomaly data associated with the DCS and / or the automation equipment; based on a result of the performed similarity search, querying a large language model (LLM) for diagnosis and / or recommendation for troubleshooting the detected anomaly; based on the querying, obtaining an output from the LLM, wherein the output is indicative of a diagnosis and / or recommendation for troubleshooting the detected anomaly; and providing the output to a user.

A computer-implemented method for generating control code for actuating an asset in an industrial plant to perform a given task includes obtaining candidate control code from an automatic code generator based at least in part on the given task; performing code validation on the candidate control code to determine whether it is capable of being executed, and / or capable of being compiled for execution; after successful code validation, determining whether execution of the candidate control code is capable of actuating the asset to perform the given task by executing the candidate control code in a simulation environment; and when this determination is positive, determining the candidate control code as the sought control code.

The invention discloses a fabricated concrete industrial factory building structure, and relates to the technical field of industrial factory buildings. The assembly type concrete industrial factory building structure comprises a plurality of layers of laminates, the laminates are connected and supported through prefabricated concrete stand columns, each layer of laminate comprises a frame built through a concrete steel structure and a pavement structure laid on the top of the frame, and the frame comprises concrete cross beams, concrete longitudinal beams and concrete secondary beams. The concrete cross beams, the concrete longitudinal beams and the prefabricated concrete stand columns are perpendicularly connected through the main nodes. Concrete and I-shaped steel are combined and poured into a firmer beam column, stable installation and connection can be achieved only by using main joints and secondary joints to be matched with bolts at the connecting positions of all the parts, then a small amount of welding is conducted, more stability is achieved, the construction efficiency is high, follow-up dismantling work can be conveniently conducted, and the top surface layer is spliced through non-rib-out laminated plates, so that the construction cost is reduced. And then the concrete pavement is paved, so that the construction is relatively simple and rapid.

The invention relates to the technical field of industrial factory monitoring, in particular to a cloud-side collaborative factory digital twin monitoring modeling method and system. The method comprises the following steps: collecting communication link data and space coordinate data to construct a factory topological structure diagram and construct a factory digital twin monitoring model; based on the nested graph neural network, comparing existing and historical factory topology structure diagrams to obtain a factory topology difference structure diagram, and performing structure mapping consistency verification on the factory topology difference structure diagram by using a structure mapping residual function to generate an entity equipment structure change event set; obtaining a changed entity equipment operation state data set, and generating a factory performance offset index set; and the changed physical equipment and other physical equipment directly connected with the changed physical equipment in the factory are monitored. The invention provides a digital twin monitoring modeling method for a cloud-side collaborative factory, which integrates space structure information and communication link characteristics, has a dynamic self-adaptive capability, and realizes real-time state monitoring of the factory.

The present teachings relate to a method comprising: receiving at a user container runtime environment, via a container registry, an image of an obfuscated containerized model of an asset; wherein the containerized model comprises an API, and wherein the containerized model has been generated in a supplier runtime environment located within a supplier network environment, interfacing, with a model execution logic, the API of the containerized model image, wherein the interface comprises a process data signal that is transmitted to the API of the model image, and a model result data signal that is transmitted from the API of the model image; wherein the process data signal comprises data related to the usage conditions of the asset, and the model result signal is indicative of the response of the asset to at least some of the usage conditions, wherein the user container runtime environment is located within a user network environment which is isolated from the supplier network environment. The present teachings also relate to a method for transmitting a model of an asset, a method for transmitting an augmented model, a computer software product and a computer network arrangement.

The invention discloses a modeling and control method and system for industrial factory building air conditioner load optimization prediction. The method comprises the steps that indoor and outdoor parameter data of an air conditioner system in each area of an industrial factory building are collected; according to a thermal comfort index-predicted average value pwv model and the parameter data, determining the thermal comfort of each area; according to the thermal comfort degree state of each area of the industrial factory building, a preset event triggering control strategy and a controller, the control strategy of the current air conditioner and the state of the controller are determined; according to the current control strategy of the air conditioner and the state of the controller, an intermittent control strategy of the controller is determined, and the intermittent control strategy is divided into a control interval and a non-control interval; and inputting the data of the control interval and the non-control interval into a pre-constructed physical information neural network model to obtain the predicted energy consumption of each area of the industrial factory building. And the air-conditioning system load prediction level is effectively improved.

Embodiments of the present disclosure relate to systems and methods according to LLM-based agent groups for generating and enhancing engineering data funnel outputs. A method of obtaining a target structured information representation from one or more documents indicating the same process plant by using an interactive large language model (LLM)-based agent group in the context of an industrial plant is disclosed. The method includes obtaining at least one of the one or more documents at the LLM-based agent group. Each LLM agent from the group of LLM-based agents is given a task and a role, and is associated with one or more data processing tools from a set of predetermined data processing tools based on the given task and role. The method includes: selecting two or more LLM-based agents from a group of LLM-based agents for processing the document; processing the document by one of the selected two or more LLM agents, and outputting a structured information representation as a result of the processing; causing the selected two or more LLM agents to interact with the structured information representation based on a task and a role given to the selected two or more LLM agents; and obtaining a target structured information representation based on a result of the interaction.

The invention provides a direct-current bus type electric vehicle charging system with a source-load-storage cooperative management capability, and belongs to the technical field of electric vehicle charging. Comprising an interface connected with a medium and low voltage power distribution network, a bidirectional AC / DC converter, a common DC bus, a plurality of bidirectional DC / DC converters and a plurality of unidirectional DC / DC converters, the medium and low voltage power distribution network is connected with the AC side of the bidirectional AC / DC converter through a transformer, and the bidirectional AC / DC converter realizes conversion between AC and DC; the direct current side of the bidirectional AC / DC converter is connected to each bidirectional DC / DC converter and each unidirectional DC / DC converter through a common direct current bus; the system takes a direct current bus as a core, has the technical advantages of bidirectional energy flow, modular expansion, multi-scene flexible deployment and the like, and is suitable for various typical application scenes such as intelligent buildings, residential parks, industrial factory areas, micro-grids, power grid energy storage nodes and the like; the defect that an existing electric vehicle charging system cannot be cooperatively managed with a comprehensive energy system can be effectively overcome.

A computer-implemented method and system for performing one or more AI techniques on data captured from an Industrial Automation Control Systems (IACS) system, wherein the IACS is associated with at least one industrial plant. Data is captured from the IACS relating to each of a plurality of assets associated with the at least one industrial plant. The captured IACS data is analyzed to determine a plurality of assets associated with the at least one industrial plant contained in the captured IACS data, and metadata respectively associated with each determined asset. An electronic data repository is generated that provides an electronic inventory for each of the plurality of assets and associated metadata. An AI engine coupled to the electronic data repository, performs one or more AI techniques on the plurality of assets and the metadata respectively associated with each determined asset, to perform a certain task.

The invention discloses a fabricated steel structure industrial factory building structure, and relates to the technical field of concrete structure factory buildings. The assembly type steel structure industrial factory building structure comprises a plurality of layers of horizontal steel structure frames, all the layers of horizontal steel structure frames are connected through stand columns, the horizontal steel structure frames are rectangular frames formed by perpendicularly connecting the ends of a plurality of steel main beams, and a plurality of steel secondary beams are connected to the inner sides of the rectangular frames in parallel; the butt joint device is mainly constructed by adopting a steel structure, is different from direct welding of the existing steel structure, adopts a lap joint type design, and is matched with a related positioning structure for positioning during lap joint, so that the butt joint accuracy between the steel structures is ensured, and a stable supporting and alignment mode is omitted in the lap joint mode, so that workers only need to concentrate on welding work, and the welding efficiency is improved. The work load is relieved, the positioning structure is matched with the lap joint structure to assist in achieving the effect of improving the connection strength, all the parts can be installed in a prefabricated mode firstly, and rapid building can be achieved during construction.

A UWB downlink TDOA positioning method based on a main reference base station rotation strategy comprises the steps that multiple base stations are optimally arranged in a target area according to a geometric accuracy factor (GDOP), and a fixed rotation sequence is preset; the main base station is periodically and sequentially switched to serve as a TDOA reference node, and other base stations synchronously or sequentially transmit downlink signals; and after receiving the timestamps of the base stations, the tags calculate relative time difference by taking the current main base station as a reference, construct a nonlinear equation set in combination with a DL-TDOA algorithm, calculate coordinates through least square or iterative optimization and output a result. According to the method, the positioning performance in a complex environment is improved by periodically switching the role of the main base station. By rotating the main base station to disperse the shielding risk and combining conflict-free time sequence scheduling and local calculation, the dependence of a traditional scheme on clock synchronization is avoided, and the system complexity is reduced. Experiments show that positioning errors are remarkably reduced in a non-line-of-sight scene, and the method is particularly suitable for high-shielding environments such as industrial factory buildings and storage and has the advantages of high robustness and low deployment cost.

A computer-implemented method includes obtaining plant steam data regarding a plurality of steam traps of an industrial plant implementing a steam distribution network during operation of the industrial plant. A database is developed using the plant steam data and used to develop a mathematical correlation that describes a condensation removal rate as a function of parameters including a type of steam trap, temperature, pressure, and a steam volumetric flow rate. A digital twin of the steam distribution network is developed using a machine-learning model and the mathematical correlation, where the digital twin represents all steam straps of the steam distribution network. During operation of the industrial plant, a trap condition of a steam trap of the digital twin is estimated based on a set of plant steam data regarding the plurality of steam traps of the industrial plant.

The invention discloses an automatically adjustable shutter suitable for an industrial factory building, the automatically adjustable shutter comprises a shutter frame and shutter blades, an environment monitoring box is mounted at the top end of the shutter frame, a driving mechanism is mounted in the shutter frame, the driving mechanism is in transmission connection with the shutter blades, the driving mechanism is in communication connection with a control box, and the control box is in communication connection with the shutter blades. According to the device, the shutter blades are controlled to conduct self-adaptive adjustment by monitoring the environment inside and outside a plant, the ventilation requirement of the plant is met, external impurities and rainwater are prevented from entering the plant, self-locking is achieved when the angles of the shutter blades are adjusted by designing an anti-swing traction mechanism and a self-locking driving unit, and the self-locking effect is achieved. Meanwhile, the middles of the louver blades are pulled and positioned, on one hand, the situation that the middles of the louver blades deform and shake due to the fact that the louver blades are too long is avoided, on the other hand, the pulling rope is clamped between every two adjacent louver blades, and noise caused by mutual collision when the louver blades shake is avoided.

The invention provides a high-strength sound-insulation fireproof composite board, and relates to the technical field of composite boards. The frame body is of an H-shaped structure, and aerogel is arranged at the two ends of the inner side of the frame body; the frame body is provided with the sound insulation plates, the sound insulation plates are symmetrically arranged at the two ends of the inner side of the frame body, noise sound waves penetrate through the fireproof plates and then are reflected and refracted multiple times in the spiral sound absorption holes, the sound wave propagation path is effectively disturbed, the efficient sound absorption characteristic of aerogel is matched, and a multi-stage attenuation mechanism for noise of different frequency bands such as high frequency and low frequency is formed. Compared with a traditional single-material sound insulation mode, the composite structure breaks through the bottleneck of sound insulation performance, can meet the noise reduction requirements in complex noise environments such as building decoration and industrial factory buildings, and solves the problems that a traditional board mostly depends on a single sound insulation material to achieve the noise reduction function, systematic acoustic structure design and the material synergistic effect are lacked, and the noise reduction effect is poor. The noise reduction requirements in complex noise environments such as high frequency, low frequency and the like are difficult to meet.

It is disclosed a method to design piping an industrial plant; position information of items and ends of the pipelines at the items are read; -a grid (1) of discrete coordinates (s, 2-20, 22-27, d) is processed, each coordinate having adjacent discrete coordinates (13, 15, 11, 17, 5, 23) along X, Y, Z directions, representing connection positions (2-20, 22-27) of connectable sections of pipelines, wherein distances (3) between adjacent discrete coordinates correspond to lengths of straight sections of the pipelines. An oriented graph (100) is processed from the grid (1), wherein n logical nodes (g1-g11, gs, gd) representing spatial orientations in the X, Y, Z directions of a connectable section of the pipeline at the discrete coordinate (14) are generated; and for each logical node (g1) -i) at least one oriented arc (a2g1) with a logical node (a2) of an adjacent discrete coordinate (13) representing the same spatial orientation is drawn; -ii) a direction is given to the oriented arc (a2g1), representing a flow direction and a weight is associated to the distance between the adjacent discrete coordinates (13, 14); and -iii) internal oriented arcs (g1gd) are drawn between the logical node (g1) and logical nodes of the discrete coordinate (14), where respecting spatial and process constraints of the plant; iv) -weights are also associated to the internal oriented arcs, having a value, if the arc is between logical nodes with different (XY, XZ, YZ) spatial orientations, or a lower value, if the arc is between logical nodes with same (XX, YY, ZZ) spatial orientations; and the optimal piping is searched in the oriented graph minimizing weights.

The invention relates to the field of industrial plants, particularly to a method for controlling a sub-system (200, 300, 400) of an industrial plant (100). The method comprises the steps of: retrieving, by the orchestrator (120), information about the sub-system (200, 300, 400); training the orchestrator (120), based on the retrieved information, wherein the orchestrator (120) comprises a foundation model (122); receiving, by the trained orchestrator (120), a high-level production target (180) for the industrial plant (100); deriving, by the trained orchestrator (120), instructions regarding a production target for the sub-system (200, 300, 400); transmitting, by the trained orchestrator (120), the instructions to a control agent (220, 320, 420) of the sub-system (200, 300, 400); and starting, by the control agent, a production process, the production process comprising the steps of: reporting, by the control agent, a current state of the components (250, 260, 350, 360, 450, 460), an achievement degree and the alarm-logs (230, 330, 430) of the sub- system (200, 300, 400) to the trained orchestrator (120); and transmitting, by the trained orchestrator (120), updated instructions to the control agent (220, 320, 420) of the sub-system (200, 300, 400).

Disclosed herein is a functional module for forming a decentralized automation platform that the functional module is modularly connected to a plurality of further functional modules to provide a plurality of functions for the automation of an industrial plant in a modular manner, having:an electronic arrangement for providing at least one of the plurality of functions,a base body with a base body housing in which the electronic arrangement is arranged,a connection arrangement, arranged on the base body housing and / or is electrically connected to the electronics arrangement to provide an electrical connection for one of the plurality of further functional modules,wherein the connection arrangement is designed to provide a main energy flow, an auxiliary energy flow and a data flow between the functional module and the connected further functional module i to operate the automation platform for automation of the industrial plant.

A method for estimating a level of confidence of a response that a AI / ML model delivers in response to a query, includes obtaining a representation of the query in a space; determining a closeness of the representation to one or more reference representations of reference inputs that are known to belong to a domain of validity (DOV) of the AI / ML model, determining the level of confidence based at least in part on this closeness; and in response to the level of confidence being lower than a predetermined threshold: obtaining feedback whether the response provided by the AI / ML model is correct; and when this feedback indicates that the response is correct, determining that the representation of the query belongs to the DOV, wherein the query relates to a property of an industrial asset in an industrial plant, and / or of an industrial process executed on this industrial plant.

A natural language query regarding an existence of a correlation between a first variable and a second variable associated with an industrial plant is received. The correlation can include a dependence of the first variable on the second variable, a dependence of the second variable on the first variable, or a lack of dependence of the first and second variables on one another. In response to the natural language query, a causal relationship between the first variable and the second variable is determined by an artificial intelligence (Al) agent. The Al agent can be configured to access a database that includes data characterizing the first variable and the second variable in response to receiving the natural language query. A representation of the causal relationship is provided by the Al agent.

Embodiments of the present disclosure relate to migrating control logic types in a distributed control system (DCS). The present disclosure relates to migrating a control logic type from a conventional engineering tool (2a) to a modern engineering tool (2b) in a DCS (1) controlling equipment (11) in an industrial plant (10). Comprising the steps of obtaining a control logic type of a traditional format from a traditional engineering tool; reformatting the control logic of the control logic type into a modern format compatible with the modern controller (5b); copying a graphic instruction of a control logic type; updating the list of attributes of the control logic type such that the format of the corresponding communication address field associated with each listed attribute is changed from a conventional format to a modern format compatible with a modern controller; and associating the reformatted control logic, the replicated graphic instruction, and the updated list of attributes with a migrated control logic type in a modern engineering tool library.

The invention relates to a multi-industry integrated factory building which comprises an industrial factory building body, a production line is arranged in the industrial factory building body, a greenhouse and a touring and entertainment area are arranged on the roof of the industrial factory building body, a first visiting channel is arranged between the greenhouse and the touring and entertainment area, and a second visiting channel is arranged in the industrial factory building body. An elevator is arranged between the first visiting channel and the second visiting channel, a draught fan is arranged on the periphery of the carbon dioxide generating area of the industrial factory building body and connected with an air flue, the air flue is connected to an outer layer vertical channel arranged between the ground and the roof of the industrial factory building body, and an inner layer vertical channel is arranged in the outer layer vertical channel. The inner-layer vertical channel is communicated with the inner space of the outer-layer vertical channel on the periphery of the inner-layer vertical channel through a gas inlet in the bottom, the inner-layer vertical channel is provided with a filtering mechanism, the top end of the inner-layer vertical channel is connected to a gas tank through a gas pipeline, the gas tank is located in the greenhouse, a valve is arranged at a gas outlet of the gas tank, and the plant integrates three industries.

A method for controlling access to data in an industrial plant is provided. Elements (11-18) are mapped to elements of a graph structure. Scopes (S10-S30) are defined, which are associated to elements (11-18) in the graph structure. An authorization provider (31-33) is associated a scope (S10-S30) provides an authorization of data from scopes (S10-S30). Identifiers for entities the elements in the graph structure are parsed. Each scope is associated to one of the elements or entities in the graph structure. A request from an entity for data is received. It is determined to which scope (S10-S30) the entity is related to. Authorization to the request is provided by the at least one authorization provider (31-33) associated to the scope (S10-S20). The requesting entity is granted access to the requested data of the target entity based on the authorized request.

The invention discloses a BIM-based industrial plant intelligent construction management system, which comprises a BIM project management system, an Internet of Things sensing layer, a data transmission layer, a data processing center and is characterized in that the output end of the IM project management system is connected with the receiving ends of the Internet of Things sensing layer, the data transmission layer, the data processing center and a construction management terminal; the invention relates to the technical field of plant construction management. According to the BIM-based intelligent construction management system for the industrial factory building, real-time monitoring is carried out by utilizing deployment of an Internet of Things sensor, construction site data are collected while monitoring is carried out, the management efficiency is improved, meanwhile, automatic management of construction progress, resources and quality is realized by utilizing a BIM model and data analysis, and in the construction process, the construction efficiency is improved, and the construction efficiency is improved. And potential safety hazards can be monitored in real time, early warning can be performed in time, and the construction risk is reduced, so that multi-party online cooperation is supported, the information transmission efficiency is improved, and real-time monitoring and automatic management of the construction process are realized.

The utility model discloses a fan heater, which belongs to the technical field of fans, and adopts the technical scheme that the fan heater is characterized by comprising a sealed shell, an air inlet is formed in one of two opposite side walls of the shell, and an air outlet is formed in the other end of the shell; the air inlet is provided with an air inlet pipe, and an air inlet fan is arranged in the air inlet pipe. The air outlet is provided with an air guide pipe, and the length of the air guide pipe is larger than the distance between the air inlet and the air outlet. The distance refers to the length between the center of the air inlet and the center of the air outlet. The device has the advantages that the air guide pipe with a certain length is installed at the air outlet, the air supply distance is increased, an air channel of the whole device is relatively sealed, and the air pressure is large; due to the fact that the air guide pipe with a certain length is arranged, the constant-temperature heating device is particularly suitable for constant-temperature control of agricultural cultivation and industrial factory buildings and air heating in greenhouses, temperature conditions in the environments can be effectively improved, growth of animals and plants is promoted, and production efficiency is improved.