783 results about "Field device" patented technology

The invention relates to the technical field of safety monitoring and intelligent early warning, discloses a construction safety risk monitoring method and system, and aims to solve the problems that a traditional construction safety monitoring means is isolated, static and lagged. The method comprises the following steps: deploying a multi-modal sensing network to collect environment, personnel, equipment and structural data; constructing a risk factor time sequence matrix through space-time alignment and feature normalization; constructing a dynamic association graph in combination with the risk conduction rule base and historical cases; predicting risk propagation potential energy of each node by using a graph neural network; triggering early warning according to the multi-level threshold value and outputting a conduction path and a blocking suggestion; the field devices are linked to perform hierarchical suppression actions. The system comprises a sensing deployment module, a data fusion module, a map construction module, a potential energy prediction module and an early warning decision and execution linkage module. Through space-time modeling and intelligent deduction, active identification and second-level intervention of a risk link are realized, the transformation of construction safety from passive response to active prevention is promoted, and the accident probability and the loss scale are reduced.

The invention discloses an offshore red tide multi-parameter real-time monitoring method and monitoring system based on a buoy array. The method comprises the following steps: S1, performing array deployment and topology configuration according to a sea area sensitivity degree, tide characteristics and a historical red tide trajectory; according to the invention, through risk differentiation buoy array deployment and redundancy topology, traditional isolated monitoring limitation is solved, and sea area full coverage and red tide diffusion tracking are realized; physical-chemical-biological multi-source sensing and in-situ detection are combined with data fusion, so that the problem of single parameter is solved, and the monitoring accuracy is improved; by means of liftable stratified sampling and in-situ algae species and toxicity analysis, the vertical monitoring blank is filled up, and the complete life cycle process of red tide from occurrence to regression is completely captured; through linkage of edge-cloud multi-model early warning and field equipment, a'monitoring-early warning-disposal 'closed loop is formed, and the red tide monitoring real-time performance and the emergency response capability are greatly improved.

The invention relates to a tunnel construction progress model generation method based on artificial intelligence. The method comprises the following steps: acquiring multi-source heterogeneous data such as tunnel field equipment operation and geological change, and performing multi-modal fusion to form a unified data set; based on this, a particle filter algorithm is used to correct equipment positioning deviation, and a real-time position optimization result is generated. Comparing the time and space with the progress plan, and identifying and quantifying deviation points through a critical path method and a deviation analysis algorithm to form deviation data. And constructing a construction progress model by combining construction basic parameters and adopting a genetic algorithm, generating an adjustment scheme by taking a construction period and resources as targets, and obtaining an optimal scheme through compliance screening and fitness calculation iterative optimization. By the adoption of the method, efficient integration of heterogeneous data can be achieved, the equipment positioning precision is improved to the centimeter level, multi-dimensional quantification of progress deviation is achieved, progress deviation recognition and resource allocation efficiency is improved, and a technical scheme is provided for tunnel intelligent construction.

The invention relates to the technical field of building engineering construction monitoring, and particularly discloses a mass concrete water storage and maintenance process multi-parameter fusion early warning system which comprises a multi-source heterogeneous sensing network, an edge computing gateway, a cloud fusion analysis platform and an early warning execution terminal. The sensing network collects multi-dimensional parameters such as temperature, humidity and stress of concrete and the environment; the cloud platform evaluates the maintenance state and generates a graded early warning instruction based on a multi-physics field coupling model and a fusion early warning algorithm; and the early warning terminal drives the field device to execute differential intervention. According to the invention, comprehensive perception, accurate evaluation and active regulation and control of the states of multiple physical fields in the maintenance process are realized, and the early warning reliability and the maintenance quality are improved.

The invention relates to the technical field of distributed architectures, and discloses a multi-screen cooperative control method based on an OpenHarmony distributed architecture and an all-in-one machine system.The method comprises the steps that a broadcast frame found by equipment is sent through an OpenHarmony distributed soft bus, security authentication is conducted on a plurality of display terminals responding to the broadcast frame, a virtual bus channel is established, and the virtual bus channel is sent to the display terminals; obtaining a virtual device group; creating a distributed industrial data object on the main control equipment of the virtual equipment group and synchronizing the distributed industrial data object to each slave display terminal to obtain a distributed data model; mapping the anonymous shared memory to an annular buffer area; and writing real-time data acquired by the industrial field equipment into an annular buffer area, and transmitting the real-time data to each slave display terminal of the virtual equipment group, in the method, each display terminal accesses an agent instance of an industrial data object through a distributed data management framework; and the requirements of high reliability, low delay and high consistency on multi-screen cooperative control in an industrial field are met.

The invention provides an Internet of Things smart farm monitoring method and system, and relates to the technical field of agricultural Internet of Things, and the method comprises the steps: executing the triggering type sensing operation of crop growth and environment abnormality at a field end side visual node of an Internet of Things smart farm based on a preset triggering condition, and outputting an end side initial sensing data set; performing non-redundant feature screening on an end-side initial sensing data set, extracting a key feature set, executing a staged slow aggregation operation through a low-power-consumption communication network, outputting batch feature data packets according to a link state, and realizing field light-flow transmission; the cloud processing platform receives the batch feature data packets, then calls the agronomy knowledge set for restoration and diagnosis, outputs a farm monitoring diagnosis result, generates a field equipment linkage instruction according to the farm monitoring diagnosis result, sends the field equipment linkage instruction to the execution equipment, and outputs an equipment linkage response result, so that the farm monitoring efficiency and accuracy are improved, and the farm monitoring accuracy is improved. Intelligent management is realized, and the field operation cost is reduced.

The invention relates to the field of industrial Internet of Things, and discloses an industrial scene-oriented multi-protocol compatible IoT acquisition and intelligent operation and maintenance system, which comprises a configuration management module used for analyzing an encrypted configuration file and dynamically loading a communication protocol driving program by using a reflection mechanism; the data acquisition module is used for establishing connection with industrial field equipment by utilizing the loaded communication protocol driving program and acquiring original data; the data processing module is used for calculating a semantic entropy value of the original data in the time window and marking a data value grade according to the semantic entropy value; the data storage module is used for executing differentiated storage operation on the data according to the data value grade; a memory management module and a data forwarding module. By constructing a data acquisition module comprising a software and hardware dual-mode interface and combining a self-adaptive driving correction mechanism based on physical layer signal feature analysis, the effect of still maintaining communication connection when standard protocol driving fails or equipment aging parameters drift is achieved.

The invention defines an Internet of Things containerization virtual PLC system based on star flash. The system comprises a cloud server, at least one fog end node, a star flash wireless communication module and field end equipment, two normal forms are converted: 1, a dynamic migration normal form of control logic is realized, and a PLC is not a static entity bound to specific hardware but a control unit capable of flexibly scheduling and seamlessly migrating among computing power nodes through containerization and thermal migration technologies, so that the system availability and the resource utilization rate are fundamentally improved; and 2, a wireless normal form of field communication initiatively establishes a star flash technology as a core communication link of a virtual PLC and field equipment, and a deterministic wireless link provided by the wireless normal form effectively solves the core bottleneck of uncontrollable time delay and reliability of the traditional wireless technology, so that industrial-grade control is possible to get rid of wired constraint. Through the synergistic effect of the two normal forms, the containerized virtual control system which is high in toughness and flexibility and extremely flexible in deployment, operation and maintenance is jointly formed.

The invention relates to the technical field of industrial communication and Internet of Things, in particular to an IO-Link gateway system and method for heterogeneous protocol unification and edge enabling. Comprising a hardware layer, a protocol adaptation layer, a data processing layer, an intelligent computing layer and a communication interaction layer which are connected in sequence to achieve standardized conversion and edge intelligent processing of heterogeneous industrial data, and data time sequence consistency and system operation stability are guaranteed in the whole process. According to the invention, a plurality of heterogeneous industrial protocols are downwards and uniformly mapped to a technical path of an IO-Link international standard, and heterogeneous data are converted into a standard IO-Link object dictionary at a gateway level, so that field devices of different manufacturers and different protocols can carry out data interaction with a uniform and semantic-rich information model; therefore, plug-and-play of data is realized in the equipment access layer, and a solid foundation is laid for constructing an integrated industrial Internet of Things system.

The invention discloses encrypted wireless communication terminal equipment special for electric power, which belongs to the technical field of electric power equipment communication and comprises a security encryption module, a wireless communication module and a wireless communication module, the multimode communication module is used for uploading the encrypted data to a master station through a cellular wireless communication link or a power line carrier communication link; the protocol adaptation module is used for packaging the original data of the equipment into a data frame conforming to a master station protocol; the edge intelligent processing module is used for performing variable quantity compression and dead zone filtering on the acquired field equipment data; the remote operation and maintenance management module is used for realizing equipment parameter configuration, firmware upgrading, state monitoring and warning management; and the core control processing module is used for executing task scheduling, resource allocation and security policy control. By adopting the equipment, the data is effectively prevented from being stolen, tampered or forged in the transmission process of the wireless public network or the power carrier link, and the high-security requirement of the power industry on network communication is met.

The invention relates to the technical field of aluminum oxide production, and provides an evaporation station intelligent optimization system based on multivariable coupling regulation, which comprises a DCS (Distributed Control System) lifting module used for optimizing a control strategy and hardware support; the intelligent optimization control module is used for realizing multivariable coupling regulation and control; the data storage and analysis module is used for historical data recording and process analysis; the execution module is used for receiving the control instruction and driving field equipment; the DCS control system lifting module, the intelligent optimization control module and the data storage and analysis module are in bidirectional communication connection in sequence, and the intelligent optimization control module is in unidirectional communication connection with the execution module. Through multivariable coupling regulation and an intelligent algorithm, mother liquor discharging index fluctuation is stabilized, and the operation qualification rate and the alkali circulation efficiency are improved; steam consumption matching is optimized, and energy conservation and consumption reduction are achieved; variable fluctuation chain reaction is reduced, and abnormal response time is shortened; automation of key procedures is promoted, and manual errors are reduced.

An I / O server service interacts with multiple containerized controller services each implementing the same control routine to control the same portion of the same plant. The I / O server service may provide the same controller inputs to each of the containerized controller services (e.g., representing measurements obtained by field devices and transmitted by the field devices to the I / O server service). Each containerized controller service executes the same control routine to generate a set of controller outputs. The I / O server service receives each set of controller outputs and forwards an “active” set to the appropriate field devices. The I / O server service and other services, such as an orchestrator service, may continuously evaluate performance and resource utilization in the control system, and may dynamically activate and deactivate controller services as appropriate.

Methods, apparatus, systems, and articles of manufacture are disclosed for sequence of event generation for a process control system. An example apparatus includes at least one memory, machine readable instructions, and processor circuitry to at least one of execute or instantiate the machine readable instructions to obtain a first digital signal from a first field device representative of a first sensor data value labeled with a first timestamp generated by the first field device, obtain a second digital signal from a second field device representative of a second sensor data value labeled with a second timestamp generated by the second field device, and store a data association of the first and second sensor data values in a datastore, the data association representative of a sequence of events including an ordering of the first sensor data value and the second sensor data value based on the first and second timestamps.

Method (100) for operating a field device (1) comprising an adjustable clock (2), at least one non-volatile CA memory (3) containing a public key certificate (3a) of a trusted certification authority, CA, at least one non-volatile time memory (4) for recording a date and / or time (4a) and at least one interface (5), comprising the steps: • A current date and / or time (7a) is received via the interface (5) (170); • this current date or time (7a) is compared with the date or time (4a) in the time memory (4) (180); and • In response to the fact that the current date or time (7a) is later (190) than the date or time (4a) in the time memory (4), the adjustable clock (2) of the field device (1) is set to the current date or time (7a) (200).

The invention discloses a device and a method for measuring the velocity field of an autoclave through hot-pressing wind speed. The device comprises a thermosensitive probe, a Wheatstone bridge, a lock-in amplifier, an NI multi-channel data acquisition card and a computer, the thermosensitive probe is used for instantaneously detecting the temperature of a placement point position and generating resistance fluctuation based on sensing temperature change; the Wheatstone bridge is formed by connecting a fixed resistor, a variable resistor and a thermosensitive probe, and is used for forming a series circuit with the lock-in amplifier; the lock-in amplifier is used for supplying power to the Wheatstone bridge and providing co-frequency voltage at the same time, so that resistance data of a thermosensitive probe in the Wheatstone bridge is converted into voltage data to be output; the NI multi-channel data acquisition card is used for acquiring in-phase component voltage signals output by the lock-in amplifier; the computer is used for processing the voltage data to obtain the average speed and the pulsation speed of the measurement point. According to the invention, the problems of limited precision, insufficient sensitivity and poor adaptability to the internal environment of the autoclave in the conventional gas speed measurement method are solved.

Measurement system for process automation in industrial or private environments, comprising a first field device for acquiring initial process measurement data and a computing arrangement for evaluating the acquired initial process measurement data, wherein the computing arrangement is configured to determine a new installation position and / or a new parameterization of the first field device based on the evaluation of the acquired initial process measurement data in order to improve the measurement result.

A sound-recognition-based method for monitoring an operating condition abnormity of an oil pump electric motor and outlet pipes thereof. Applying soundprint recognition technology to a speed-regulating hydraulic system of a hydropower station, and rational layout of on-site soundprint sensors realize real-time monitoring of operating conditions of an oil pump electric motor and outlet pipes thereof, thereby improving the intelligence level of device management, and achieving an industrial demonstration effect. By means of deep learning analysis of a soundprint fault sample library combined with multi-dimensional factors such as pressure, liquid level and temperature, a soundprint-recognition-based multi-dimensional-factor logical determination process for abnormal operating conditions of an oil pump electric motor and outlet pipes is designed, such that real-time monitoring and rapid locating of abnormal operating conditions such as base vibration, lubricating oil deficiency in an oil pump electric motor, pump body blade fracture, check valve malfunction, incomplete closure or internal leakage of a drain valve, frequent loading and unloading of an oil pump, and servomotor pipe pulsation are realized, so as to promptly use response measures such as automatic switching of main and standby oil pump electric motor units or automatic adjustment of unit load. Using soundprint sensors and soundprint recognition technology to monitor the state of on-site devices in real time eliminates uncertainties in manual inspection, and improves the fault diagnosis and analysis efficiency.

The invention discloses an external field equipment trusted access method based on a non-addressable stealth gateway, which relates to the technical field of network security access, and comprises the following four steps: in a manufacturing period and first access, a certificate authorization machine binds equipment identity and trusted platform module measurement, policy decision point decision, policy execution point implementation and policy subset loading; initiating from the outside of the equipment, establishing an end-to-end trusted channel with the center, and performing inward isolation and transparent bearing on rear-end real services; updating strategies, algorithms and secret keys on line under the control of a unified strategy library; according to the method, the attack surface is reduced, the transformation cost is reduced, non-stop treatment is ensured, the encrypted traffic can be observed and audited, only trusted equipment can reach the center through a trusted channel, and event linkage right descending and certificate state linkage treatment are supported.

The invention discloses a cross-domain threat prediction method based on vulnerability analysis and related equipment, and the method comprises the steps: obtaining a network connection graph and first vulnerability information, carrying out the integration of the network connection graph and the first vulnerability information, and generating the input data of an attack graph generation tool; obtaining a PLC control logic, and generating a target dependency graph according to the PLC control logic; obtaining a logic node according to the target dependency graph; mapping the logic node to a field device in an industrial control system to obtain an attack target; generating an attribute attack graph through the attack graph generation tool according to a preset initial position of an attacker, the attack target and the input data; and extracting a target attack path according to the attribute attack graph to obtain a cross-domain threat prediction result. The method can improve the accuracy of cross-domain threat prediction, and can be widely applied to the technical field of network security and industrial control system security.

The invention discloses a remote intelligent operation and maintenance monitoring control method for power grid equipment, which relates to the technical field of intelligent operation and maintenance of a power grid, and comprises the following steps: performing time synchronization and standardization on multi-source monitoring data of a field device, calculating the credibility of a single piece of data, and constructing a data trust relation graph; operation and maintenance events with event-level data credibility are formed according to alarm merging; quantizing equipment health risks and system operation risks for operation and maintenance events, dividing automatic processing levels in combination with event-level data credibility, and generating a sequential control scheme for events which need to adjust operation modes or execute remote switch operations by using digital twinborn simulation; and generating an operation and maintenance work order according to the joint risk value and the automatic processing level, performing actual measurement and simulation comparison verification before execution, writing back and updating the equipment health risk model and the data trust relation graph after the work order is completed, and realizing whole-process closed-loop operation and maintenance control based on data credibility and risk.

The invention discloses an underground engineering seepage control method based on multi-target rainfall scheme optimization and rolling scheduling, and belongs to the field of underground engineering and geotechnical construction informatization. According to the method, a two-stage integrated solution is provided, in the design stage, based on a seepage-stress coupling simulation model, a multi-target optimization algorithm is adopted, structural deformation minimization and engineering cost minimization serve as targets, a Pareto non-inferior solution set of the number, the position and the depth of precipitation wells is solved, and a baseline scheme is determined; in the construction stage, on a fixed precipitation well network, based on real-time monitoring data, secondary optimization with safety margin maximization and engineering cost minimization as targets is carried out in a rolling time window, the target water pumping flow and the start-stop state of each well are dynamically solved, and the target water pumping flow and the start-stop state are issued to field equipment for execution through an industrial communication protocol in a closed loop mode. According to the method, a whole-process closed loop of the precipitation scheme from design optimization to construction self-adaptive regulation and control is realized.

The invention discloses a virtual technology medical linear accelerator maintenance process method, and relates to the technical field of linear accelerator maintenance, and the method comprises field equipment control: the field equipment control is connected with linear accelerator hardware, and the method is provided with a field maintenance terminal, a remote maintenance platform, an expert cooperation module and a fault knowledge graph database; a perfect maintenance process system is constructed, the maintenance process is managed through process and safety control, the operation safety is ensured, remote expert interaction authentication, key parameter transmission and abnormal alarm triggering are realized through expert access, the overall maintenance decision speed is increased, multi-brand equipment access is supported, the use range and scene are expanded, and the maintenance efficiency is improved. And meanwhile, the annual operation and maintenance cost of the equipment is reduced, the cost is effectively controlled, maintenance process data and corresponding analysis results are managed, visualized and stored, maintenance process management can be realized through cloud management and control of the Internet of Things, and the intelligent level of maintenance process management is improved.

The invention discloses an intelligent question-answering system of a water affair service system, which adopts a four-layer architecture of a sensing layer, a control layer, a computing layer and an application layer, realizes closed-loop intelligent management from data sensing to equipment execution, and ensures data quality from the source by the sensing layer through a self-checking water affair data acquisition device; and the calculation layer processes multi-source data by using a time sequence mechanism double-drive fusion algorithm, analyzes user questions by using an intelligent question and answer engine, and generates answers containing business decisions and equipment operation instructions in combination with a water affair knowledge base. The system has the prominent advantages that after a question and answer equipment linkage control unit of a deep linkage control layer receives an instruction, the real-time mechanical performance of field equipment is verified in advance, it is ensured that the instruction can be executed and then issued, the execution progress is monitored in the whole process, synchronous feedback is conducted, the data reliability and decision scientificity are fundamentally improved, and the system is suitable for popularization and application. Question and answer output is established on credible data, and decision predictability and accuracy are improved in emergency scheduling and other scenes.

An apparatus for processing signals transmitted between a controller and one field device or multiple field devices includes: a carrier having a control interface, a field interface, and one slot or multiple slots, the control interface being for connection of one electrical line channel or multiple electrical line channels of the controller, the field interface being for connection of input and / or output signal lines, I / O signal lines, of the one field device or the multiple field devices, and the one slot is, or each of the multiple slots are, for the releasable mechanical connection of a module in a plug-in direction and, in the mechanically connected state, for the electrical connection of the respective module to the line channel or one of the line channels and to the I / O signal lines of the field device or one of the field devices; and at least one module.

The invention discloses a dynamic reconstruction and optimization operation method and device for a power distribution network, and relates to the technical field of smart power grids, and the main technical scheme is as follows: a multi-level collaborative decision-making architecture pre-constructed for the power distribution network is utilized (an upper decision-making agent is responsible for achieving global optimization in a whole network range; a middle-layer decision-making agent is focused on dynamic reconstruction of the regional network; and the bottom-layer decision-making agent carries out refined regulation and control on distributed energy and controllable resources in a region), and in order to realize the goal of optimal comprehensive income of the power distribution network, a learning cooperative work strategy is trained for each level of decision-making agent in advance; after each level of decision-making agent obtains the operation data of the power distribution network from different sensing terminals in the power distribution network, each level of decision-making agent processes the corresponding operation data of the power distribution network to output decision-making information under the cooperative work strategy; finally, the system dynamically adjusts the network topology structure according to the decision information, and coordinates and controls the operation of the field equipment under the reconstructed network architecture.

The technology involves migration of computing devices from one operating system to a different operating system, e.g., via an over-the-air (OTA) process. The migration at the device can be done autonomously without human input, while managing resource issues such as limited memory size or different memory types. A sequence of builds may be employed depending on the type of device that undergoes migration. A backend migration service can provide an airlock feature to migrate devices in batches, for instance should fractional migration be employed for many devices in a product line. The airlock approach provides a handshake between devices and an update service irrespective of which batch a given computing device is in. This enables the OTA process to support batch OS migration for thousands of computing devices or more, while ensuring that changes to each computing device are accounted for.

The invention provides an intelligent equipment control system and method for multi-thread asynchronous communication and self-adaptive analysis. The intelligent equipment control system comprises a hardware layer interface module, a multi-thread asynchronous communication module, a self-adaptive data analysis module, a data processing and storage module and an intelligent diagnosis module. A multi-thread asynchronous communication architecture is constructed through the multi-thread asynchronous communication module to realize concurrent data interaction of multiple intelligent devices, communication protocols of different types of intelligent devices are compatible through the adaptive data analysis module, and an intelligent diagnosis function is integrated. The problems that a traditional upper computer is high in communication delay, poor in protocol compatibility, low in multi-device cooperative control efficiency and the like are solved, the real-time performance and reliability of industrial field device monitoring are improved, and the method is suitable for multi-device cooperative scenes such as intelligent manufacturing and intelligent storage.

A method for changing an existing access key in a field device in automation technology includes the steps of: providing a key database on a database server; generating a key data set for a user authorized to access or a control unit authorized to access from the key database; and transferring the key data set to the control unit of the access-authorized user or the access-authorized control unit, so that the control unit of the access-authorized user or the access-authorized control unit has the existing access keys of the field devices for which an access authorization exists. The key database is for a plurality of field devices and contains at least a field device identifier of a respective field device, the existing access key of the respective field device and the identifier of a user authorized to access and / or a control unit authorized to access the respective field device.