953 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 discloses a multi-protocol device data conversion method, device and equipment based on a red-mine system, and a medium. The method comprises the following steps: acquiring a first protocol data frame sent by a first protocol host; analyzing the protocol data frame to obtain at least one piece of equipment data information contained in the protocol data frame; according to a predefined mapping relation, mapping each piece of equipment data information to a standard data field based on a second protocol object model; and performing data encapsulation on the mapped data according to a second protocol format to generate a second protocol data frame, and sending the second protocol data frame to a second protocol client application in the Hongyu system through a second protocol server. Seamless joint between the industrial field equipment and the intelligent mine system is realized, and the data transmission efficiency and the system compatibility are obviously improved.

The invention relates to the technical field of high-speed railway operation and maintenance, and provides a 4C detection-based high-speed railway overhead line system completion acceptance method and system, and the method comprises the steps: collecting overhead line system image data, obtaining pose data and spatial positioning data of an inspection vehicle, carrying out the synchronous calibration processing, building a mapping relation, and obtaining a calibrated overhead line system image; inputting the calibrated overhead line system image into a multi-scale target detection model, outputting a detection result, performing pose correction on the detection result, and generating a three-dimensional positioning coordinate in combination with the mapping relation; constructing a time sequence feature vector, inputting the time sequence feature vector into the prediction model, outputting a defect evolution trend and a risk probability of the part, and grading the risk probability; and according to the risk level and the spatial positioning data, combining a knowledge graph driven rule engine, generating an intelligent work order, mapping the intelligent work order to field equipment, and collecting and feeding back a maintenance result. According to the method, the recognition and spatial positioning precision of the parts of the overhead line system is improved, and the safety and reliability of completion acceptance of the overhead line system of the high-speed rail are improved.

The invention relates to the technical field of power plant intelligent adjustment, and discloses a power plant load intelligent adjustment method and system. The method comprises the following steps: distributing and deploying sensors according to field equipment of a power plant, and constructing a distributed sensor network based on the sensors; establishing a single time scale control framework according to the distributed sensor network; a heterogeneous delay compensation mechanism is constructed based on a distributed sensor network and a single time scale control framework; constructing a local linear matrix inequality constraint condition of each node, obtaining an optimal solution of the local linear matrix inequality constraint condition according to a heterogeneous delay compensation mechanism, and then generating an optimal control strategy of each node; the method comprises the following steps: constructing a global Lyapunov function based on a distributed sensor network and a single time scale control framework; and the change rate of the global Lyapunov function is monitored in real time, and corresponding equipment is intelligently and dynamically adjusted according to the optimal control strategy. The method achieves the intelligent regulation and control of the power plant load, is good in stability, is high in adaptability, and is short in regulation and control period.

The invention provides a construction site monitoring method and system based on Beidou positioning and digital twinning, and relates to the technical field of highway construction supervision. According to the invention, real-time position information of equipment, personnel and vehicles on a construction site is accurately obtained through a Beidou positioning technology, and an equipment and personnel dynamic model and a traffic dynamic model are constructed in combination with vehicle passing data collected by road test equipment. And fusing the dynamic model with a pre-constructed construction site environment model by using a digital twinning technology to generate a high-precision construction site digital twinning model. According to the model, real-time three-dimensional visual monitoring of a construction site is realized, external intrusion and internal collision risks are effectively prevented, illegal behaviors of not wearing a safety helmet and the like are identified in combination with AI, and accident tracing is realized through the Internet of Things. The construction site can be comprehensively monitored without manual inspection, and the safety and inspection efficiency of highway construction are remarkably 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 discloses a precast beam lifting-transporting-erecting intelligent navigation system which comprises a beam lifting operation intelligent navigation unit, a beam transporting operation intelligent navigation unit, a bridging operation intelligent navigation unit and an intelligent control navigation unit. The intelligent control navigation unit obtains field equipment monitoring videos corresponding to the beam lifting operation intelligent navigation unit, the beam transporting operation intelligent navigation unit and the bridging operation intelligent navigation unit respectively and assists in navigation construction. And the intelligent control navigation unit also obtains respective working state data of the three operation intelligent navigation units, performs corresponding processing on the monitoring video data and the working state data, assists accurate intelligent navigation construction, and performs graded alarm when a set threshold value is not met. According to the invention, the equipment state and the operation environment can be monitored in real time, and the lifting, transporting and erecting operation of the precast beam can be accurately guided and intelligently controlled according to the preset navigation path and the operation process, so that the operation efficiency is improved, and the safety risk is reduced.

The invention relates to the technical field of computer aided design, in particular to a coal mine roadway support parameter processing system and method based on the Internet of Things, and the system comprises a data collection and integration module which receives real-time environment information from an Internet of Things terminal, obtains roadway excavation contour data, front geological forecast data and field equipment state information, and sends the data to a data processing module; and generating a roadway model associated with the environment information. According to the method, the real-time monitoring data of the Internet of Things and the roadway support design process are fused, a dynamic closed-loop optimization mechanism is constructed in support parameter processing, and the reliability and adaptability of the support system are improved. Roadway excavation outline, geological forecast and equipment state data are collected in real time and directly embedded into the three-dimensional roadway model, so that support design basic parameters get rid of limitation of traditional static geological hypothesis, and the support strength can be corrected in advance according to the deformation trend of surrounding rock in front.

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.

A set of discrete input / output (I / O) channels for one or more field devices may be grouped, organized, and connected to a field module device, which may connect to an electronic marshalling apparatus in a marshalling cabinet via an I / O channel. The field module acts as an intermediary, decoding messages received via the I / O channel to identify commands for discrete output (DO) channels that are then forwarded appropriately. The field module may also receive variable values carried by signals on discrete input (DI) channels and encode the values to a message that may be transmitted to the marshalling apparatus and controller, thus making the variable values on the DI channels available to the controller. The field module may store a profile including information that facilitates various smart commissioning techniques, including autosensing of tags, automatic tag binding, and automatic configuration of a control element corresponding to the field module.

The invention relates to the technical field of intelligent inspection, in particular to an intelligent inspection system and method for a wind power plant based on multispectral camera shooting and thermal imaging, and the system comprises a multispectral camera shooting module which is used for collecting visible light and infrared spectrum images of wind power plant equipment; the thermal imaging module is used for monitoring surface temperature distribution of the equipment and generating a thermal imaging map; the edge calculation unit is used for analyzing the collected data in real time and identifying the abnormal state of the equipment; the intelligent analysis platform is used for receiving the data processed by the edge calculation unit, generating an inspection report and triggering an alarm; the communication network is used for realizing data transmission among the multispectral camera module, the thermal imaging module, the edge calculation unit and the intelligent analysis platform; according to the invention, edge calculation enabling is carried out on field equipment, the equipment state, the disconnecting link state, the foreign matter condition and the like in a monitoring picture are processed on site, the equipment operation state is identified in real time, and a fault is found and directly fed back to the intelligent inspection system of the new energy station, so that the inspection efficiency is improved.

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 relates, inter alia, to a method (100) for providing lifetime data indicative of the lifetime of a replaceable and / or rechargeable power supply unit (20) in a field device (10) with a communication arrangement (14) for wireless communication with a data processing system (30), wherein the method (100) comprises: - Providing energy consumption data that are indicative of the energy consumption of the field device (10), wherein the energy consumption data have been determined by the field device (10), and - Providing lifetime data based on energy consumption data.

A computer-implemented method for identifying a field device by a terminal device, comprising: sending, by the field device, a single identification packet for at least partially identifying the field device to the terminal device (S10); receiving, by the terminal device, the single identification packet (S20); receiving, by the terminal device, based on the single identification packet, further identification data from at least one source, wherein the source is different from the field device (S30); identifying, by the terminal device, the field device based on the single identification packet and the further identification data (S40).

A soil analysis apparatus may comprise a vehicle, at least one control-logic processor, a sensor housing, and a Laser-induced Breakdown Spectroscopy (LIBS) sensor. The LIBS sensor may be contained, at least in part, in the sensor housing. The vehicle may be configured to traverse an agricultural field. The LIBS sensor may be in connection to the vehicle and in communication with the control-logic processor. The LIBS sensor may comprise a laser source, a spectrometer, and at least one light collecting element. The laser source and / or the spectrometer may be in non-contacting proximity with the soil. The LIBS sensor may be configured to traverse a surface of the agricultural field via the connection to the vehicle. The LIBS sensor may be configured to conduct in situ soil analysis of the agricultural field during the traverse of the surface of the agricultural field.