561 results about "Industrial systems" patented technology

Method and apparatus for storing heat in industrial systems where large sources of stored energy are called upon to meet a work load, storing the heat content of a hot working fluid by using the hot working fluid as a heat transfer fluid in vapor form and depositing its heat content on a heat storage medium and then removing the cooled and condensed liquid phase of that heat transfer fluid, and when hot working fluid again is needed, the liquid heat transfer fluid is returned to the heated storage medium and is reheated as it passes through the hot storage medium and then is returned to the working system to be used as a hot working fluid.

Performances of components of an industrial system are conditionally monitored as a function of key performance indicator data by defining baseline key performance indicator values for raw data obtained by data sensors from the operation of the components, and diagnostic rules to triggering alarms by comparing baseline key performance indicator values to thresholds. Generated alarms are stored in association with the historic raw diagnostic data, times of acquisition of the historic raw data and times of generation of the alarms. Generated alarms are analyzed as a function of the said stored data and times to identify a correlation between different ones of the key performance indicators that are indicative of a required level of intervention, and the diagnostic rules are revised to initiate reporting of generated alarms pursuant to levels of intervention indicated by said correlations.

An industrial system configuration platform facilitates automation of an industrial system. The industrial system configuration platform comprises a representation of the industrial system and a configuration component that automatically configures at least a portion of the industrial system based at least in part upon metadata that describes the representation. A physical device can be automatically configured based at least in part upon the metadata, and a database can be generated and structured based at least in part upon the metadata. The industrial system configuration platform further enables an industrial process to be implemented based at least in part upon the metadata.

A method for model-based testing of an industrial system includes modeling functionality of an industrial system using a modeling computer language, enhancing the model by adding functionality or refining existing functionality, generating test suites from the system model, and executing the test suites. The modeling computer language is the Unified Modeling Language (UML), wherein modeling includes defining UML use case diagrams to describe relationships among use cases specified for the system and actors who interact with the system according to the use cases, defining UML activity diagrams to model process logic of each use case, wherein the activity diagrams comprise a sequence of activities and transitions, and defining UML class diagrams to specify data categories and attributes that are inputs to the activities of the activity diagrams, wherein data categories relevant for a use case are modeled as test variables in the activity diagram.

A cloud-based risk assessment service collects industrial data from multiple relevant and connected sources for storage and analysis on a cloud platform. The service analyzes gathered data from internal and external sources and customers across different industries to identify operational trends as a function of industry type, application type, equipment in use, device configurations, and other such variables. Based on the analysis, the risk assessment service identifies risk factors inherent in a customer's particular industrial enterprise. The cloud-based system generates a risk profile for the customer that identifies the determined risks and recommends risk aversion strategies based on the customer's specific profile, compared to industry standards, product information, internal business expectations, external regulatory bodies, and/or past performance. Risk profiles are tailored for both plant-level users and business-level users to provide intelligent strategies to improve performance and prevent avoidable losses.

A configurable control system for operating an industrial system in a reliable, safety-enhanced manner, and method of implementing such a system in any of a variety of particular industrial systems of a given class, are disclosed. The method includes storing, onto a controller of a particular industrial system, a master program capable of being used to operate a generalized industrial system having a maximum number of safety subsystems of a given type, where the particular industrial system falls within a class defined by the generalized system. The method also includes receiving a configuration input indicative of an absence/presence of a safety subsystem of the first type; validating the input; automatically configuring the master program to arrive at a configured program capable of operating the particular industrial system; and activating the controller for operation according to the configured program, which can include activating visualization or annunciation mechanisms representing the configured system.

This invention provides novel compositions comprising substituted polyamines as acid gas scrubbing solutions and methods of using the compositions in an industrial system. The invention relates to the use of such polyamine compounds in industrial processes to remove acidic contaminants from natural and industrial fluid streams, such as natural gas, combustion gas, natural gas, synthesis gas, biogas, and other industrial fluid streams. The compositions and methods of the invention are useful for removal, absorption, or sequestration of acidic contaminants and sulfide contaminants including CO₂, H₂S, RSH, CS₂, COS, and SO₂.

The invention discloses a network security monitoring method for an industrial control system. The method comprises the following steps: collecting relevant information of an internal monitoring object of the industrial control system; performing security analysis on the collected relevant information; and when potential abnormal behavior is found through analysis, generating a relevant safety control order, and issuing the order to the relevant monitoring object for execution so as to block the abnormal behavior. According to the invention, real-time monitoring on major hidden security dangers of the industrial control system such as peripheral access, personnel operation, network external connection and the like is realized through abundant data acquisition of core networking equipment of the industrial control system. At the same time, through analysis processing on various behavior, the abnormal behavior is found and blocked timely, and thus real active defense of the industrial system is realized. For the current difficulty of effectively applying traditional security protection measures to the industrial control system, the major security threats to the industrial control system at present are well solved from the perspective of monitoring early warning.

The invention relates to a conveyor belt synchronous tracking method, device and system for a robot. The method comprises the following steps that initial position information of a target object on aconveyor belt is acquired, and the position and speed of the target object are estimated in real time; based on the start position of the robot, the preset start tracking limit and the estimated position and speed of the target object, the motion trajectory of the robot is planned so that when the target object reaches the first position, the robot can move from the start position to the start tracking position at the same time as the target object and have the same motion speed as the target object at the start tracking position; the robot is controlled to move in the planned motion trajectory in response to the target object reaching the first position; and based on the real-time positions of the robot and the target object, the robot is controlled to synchronously track the target object from the starting tracking position. By the adoption of the conveyor belt synchronous tracking method, device and system for the robot, fast target object positioning and tracking can be realized, the speed fluctuation is reduced, and the accuracy and work efficiency of an industrial system are improved.

A method for automatic evaluation of a finite element simulation for an industrial system such as a motor vehicle body includes predefining an electronic design model of the industrial system and generating finite elements for the model. The stresses occurring in the finite elements are determined using a finite element simulation. Each finite element, which is a two-dimensional element and not a rigid object element and whose stress exceeds a predefined stress limiting value, is determined. For each determined two-dimensional element which is not a triangle, an element limiting value is determined on the basis of the stress limiting value. Each determined two-dimensional element is classified as critical if its computed stress exceeds the established element limiting value. The method enables identification of areas of the industrial system having a high stress and reduces the effect of inaccuracies that occur on the evaluation of the finite element simulation due to the approximation of the vehicle body by finite elements.

The invention contemplates a system and method for communicating among entities of a manufacturing process. The System (100) comprises a process tracking and workflow engine and a communications network. The process tracking and workflow engine (180a) includes at least one processing rule operating on manufacturing processing information. The communications network (160) cooperates with the process tracking and workflow engine to transmit and receive data representative of manufacturing communication information. The inventive system also may include a sales system (801) for receiving a product request, where the product request is received from a customer and/or a field sales representative.

An apparatus and method for simulating a global industrial environment. In one embodiment, the global industrial environment models a global economy as a set of interlinked economies, models a management framework as a set of interlinked management functionalities, and models both individual and organizational behaviors through a use of a set of interlinked agents. In another embodiment, operational data independent from the interlinked economies, interlinked management functionalities, and interlinked agents is customized at run-time. In another embodiment, individuals are electronically trained in a synthetic environment for analysis and simulation of a global industrial system. In this embodiment, the environment includes a virtual execution environment, a pre-exercise briefing, one or more rounds of exercise-time activity, and a post-game analysis.

The invention relates to a state monitoring device of a complex electromechanical system for a flow industry and a method. The device comprises a man-machine interaction module, a data collecting module, a data preprocessing module, a data analyzing module and a failure case library. According to the device and the method provided by the invention, whether the system fails or is in abnormal states or not can be monitored and early warming for tripping accidents or other accidents of the flow industry system can be made. Meanwhile, a KPCA (Kernel Principal Component Analysis) method with double parameter optimization is used to overcome the deficiency that parameters are selected by empirical formula in conventional KPCA methods, thereby improving the state monitoring ability. Furthermore, the failure case database is adequately used in the historical production process so that failures of the system can be monitored more immediately and accurately.

An automated industrial system is provided that includes a sensor system configured to monitor multiple parameters. The automated industrial system also includes a controller. The controller is configured to determine if any of the multiple parameters has surpassed a respective constraint threshold of multiple constraint thresholds. If any of the parameters has surpassed a respective constraint threshold, the controller is configured to classify a parameter of the multiple parameters which has surpassed the respective constraint threshold by the highest degree as the most constrained parameter. The controller is also configured to calculate a minimum temperature load path based on the most constrained parameter, with the minimum temperature load path configured to transition the automated industrial system from a base load to a part load via a minimum temperature load path.

A method for updating firmware within an industrial automation environment comprising a plurality of industrial components is provided. The method includes providing an industrial system firmware update menu from an update server to a user through a web interface within an application running on a user device, and receiving one or more selections of the industrial system firmware update menu from the user through the web interface. The method also includes processing the one or more selections of the industrial system firmware update menu to determine required firmware update files and a firmware update schedule, and transferring the required firmware update files to the industrial components in an order specified by the firmware update schedule.

The invention relates to a non-linear process industrial fault prediction and identification method based on compressed sensing and dynamic recurrent online sequential-extreme learning machine (DROS-ELM). According to the high-performance non-linear process industrial fault prediction and identification method, a problem of shortage of the on-line fault prediction and identification during the non-linear production process of the complicated industrial system can be solved. The compressed sensing and the artificial neutral network are applied to the industrial field and thus fault prediction and identification models based on the compressed sensing feature extraction and dynamic feedback OS-ELM neutral network technology is respectively constructed, thereby realizing fault prediction. Therefore, a technical support can be provided for guaranteed safety production, improved production efficiency, and saved production cost of the enterprise.

The invention discloses a large industrial system feedback data real-time processing method based on Web. The large industrial system feedback data real-time processing method based on Web comprises the steps of firstly establishing a bottom layer data layer for acquiring industrial system original data of an industrial field device; then establishing a data processing layer for processing distributed data on the acquired industrial system original data, meanwhile establishing time stamps of data access and historical data; finally establishing a data distribution layer for performing dynamic paging storage on the industrial system original data and establishing a synchronous update module and a retrieval service module in the data distribution layer. The large industrial system feedback data real-time processing method enables system functions to be subdivided and prevents problems of a certain module from influencing all of server operation and user access. User's customization is achieved, and the user experience is improved. A large industrial system data processing system is good openness and high in expansion and meets real-time data as-required processing requirement. A memory database and a magnetic disk database are efficiently combined, the real-timeliness of the whole system is improved, and the operation load of the system is reduced.

An industrial control system includes an industrial controller with a processor executing a program stored in a non-transitory computer-readable storage medium and having a user interface and a network interface for communicating over a first control network with another industrial controller having a network interface. The other industrial controller has an additional network interface for communicating over a second control network with an industrial device. The program instructs the processor to retrieve installation information contained in the other industrial controller and the industrial device; build a data structure comprising the retrieved information; periodically monitor for a hardware failure; and send a message alarm in response to detection of a hardware failure. As a result, the installation base of the industrial system and any hardware failures are quickly understood and martial data collection is avoided.

A sensor system utilizing flexible electronics for on-line real-time high-sensitivity sampling, monitoring, and analysis of a parameter or analyte of interest in a fluid or in or on a solid is provided. The flexible substrate sensor system comprises a plurality of sensors, a flexible substrate, a network, and a connection between the sensors and the network, wherein the network reads out or collects information from the sensors. The network can be onboard, connected by via a physical connection to the sensors and the flexible substrate, or external to the sensors and flexible substrate, connected via a telemetric or wireless connection to the sensors. The flexible substrate sensor system can be deployed in systems that conduct or distribute fluids or solids, such as distribution systems (municipal water systems, oil or gas pipeline systems), industrial systems (production facilities, piping, and storage systems), and large structures (dams, bridges, walkways, buildings).

This invention is directed to an synergistic antimicrobial composition which comprises a mixture of an iodopropynyl compound and a dimethyldithiocarbamate compound, said mixture provided in an amount sufficient to protect a substrate from attack by one or more microbial organisms. The composition can be used broadly in industrial systems and more particularly with substrates such as paints, coatings, plastics, wood and wood composites.

A propulsion system comprising independent rotor sub-systems producing a thrust force of a desired magnitude in any desired radial direction from the centre of the propulsion system, driven from a single driveshaft that may be fixed in its position in the vehicle. When the propulsion system is fitted, for example, to a single-main-rotor helicopter in place of the convention anti-torque tail rotor, the helicopter is thereby equipped with a propulsion system that can produce yaw, pitch, the anti-torque lateral thrust for stability in hover, aft thrust or drag as well as the direct forward thrust that will enable the helicopter to fly at higher speeds. The propulsion system may also be applied in other aeronautical systems as well as to marine and industrial systems to impart energy into a fluid and thereby induce movement in that fluid.

A method for displaying a two-dimensional image in a three-dimensional view. The two-dimensional image is formed by a plurality of objects representing elements of an industrial system. The three-dimensional view is displayed on a display of a control system of the industrial system, wherein at least one object is associated with a parameter value pertaining to a state of a corresponding element in the industrial system. The method includes determining the parameter value for the object; mapping the parameter value to a depth layer, which depth layer defines part of the three-dimensional view; and displaying the object in the depth layer. A corresponding control system is also presented herein.