Abstract: A method for tuning predictive control parameters of a building energy consumption system based on fuzzy logic: 1) constructing a controlled building energy consumption system, performing generalized predictive control on the building energy consumption system, and initializing an tuned parameter ? of a generalized predictive controller; 2) collecting the output slope yk (t), the actual output y(t), the set value yr(t) and the predicted output value ?(t+i) of the controlled building energy consumption system in the control process, and then taking them as fuzzy target parameters; 3) constructing a membership function for the fuzzy target parameters in step 2), and then optimally selecting the parameters of the fuzzy membership function by using a particle swarm optimization algorithm to obtain membership function parameters of each fuzzy target parameter; 4) carrying out fuzzy reasoning operation on the membership function parameters, and tuning the adjusted parameter ? by using the results of fuzzy reasoning

Abstract: A designing method for a fractional order proportional derivative (FOPD)-generalized extended state observer (GESO) controller includes the following steps: S1, selecting an FOPD controller and a GESO to control a motor speed loop, and designing the FOPD controller and the GESO; S2, performing compensation and simplification on a control object of the speed loop by using total disturbance estimated by the GESO to obtain a compensated speed loop control model, the compensated speed loop control model reflecting the characteristics that tracking performance is only related to the FOPD controller, and that anti-interference performance is only related to a bandwidth ?o of the GESO; and S3, respectively solving unknown parameters in the FOPD controller and the GESO. The present method achieves non-overshoot tracking of the speed of a permanent magnet synchronous motor, has excellent anti-interference performance, and resists external load and model changes.

Abstract: The present disclosure provides a method and a system for greenspace cultivation and management in a smart city based on an Internet of Things.

Abstract: In an example, a method includes operating, by a processor, on object model data and operating, on a processor, on pattern data. The object model data describes at least part of an object to be generated in additive manufacturing and the pattern data describes an object pattern intended to be formed on at least a portion of the part of the object to be generated in additive manufacturing. The method includes determining, by a processor, control data to control a print agent applicator to apply a pattern of fusing agent onto a part of a layer of build material. The pattern of fusing agent comprises a fusing agent area and a gap area that lacks fusing agent. The gap area corresponds to the object pattern such that no fusing agent is applied to a part of the layer of build material that corresponds to the object pattern.

Abstract: A computer-implemented method of relaying data of an irrigation system comprises establishing, via a mobile device communication element, a connection with a component associated with the irrigation system; requesting, via the mobile device communication element, current operational data representing real-time measurements associated with operations of the irrigation system; receiving, via the mobile device communication element, signals representative of a first data stream comprising the current operational data of the irrigation system; and transmitting, via the mobile device communication element, a second data stream comprising at least a portion of the first data stream to a remote computing device.

Abstract: Provided is a work management system enabling real-time inspection by simultaneously performing work and measurements. The work management system includes a tool including a communication unit and a trigger switch, a camera unit including a communication unit, a camera capable of identifying 3D camera coordinates from an image, a posture detecting device configured to acquire camera posture information, a control unit, and a prism, and a surveying instrument including a communication unit, a tracking unit, a distance-measuring unit, an angle-measuring unit, and a control unit, wherein upon detection that the trigger switch has been used, the camera unit collects camera posture information by the posture detecting device, a tool image by the camera, position coordinates of the prism measured by the surveying instrument, and orientation information of the camera unit viewed from the surveying instrument, and obtains and stores position coordinates of a tip end position of the tool.

Abstract: A system and method of irrigation control calculates a predicted soil moisture value based that is compared to low moisture threshold. If the predicted soil moisture value is a value below the low moisture threshold value, the next irrigation cycle or scheduled irrigation operation is allowed to proceed or otherwise activated. The predicted soil moisture value may be calculated by adjusting a current soil moisture value by a historical adjustment factor based on negative net changes in soil moisture values.

Abstract: A processor may receive an input dataset. The input dataset may include a plurality of construction components and one or more performance factors of the building/structure. A processor may generate a digital twin of the building/structure using the input dataset. A processor may simulate, using the digital twin, one or more features of the building/structure. The simulating may include a forecast having one or more predicted conditions associated with the building/structure.

Abstract: A system that includes a plurality of controllers that are each controller is configured to operate at least a portion of a Heating, Ventilation, and Air Conditioning (HVAC) system. The system further includes a network provisioning device that is configured to establish a peer-to-peer connection with a controller. The controller is not associated with any wireless networks. The device is further configured to send a request to the controller to identify a wireless network that is associated with the local area network and is in range of the controller. The device is further configured to obtain network credentials for the identified wireless network and to send the network credentials to the controller to join the provisioned mesh network. The controller is configured to use the network credentials to join a provisioned mesh network.

Abstract: A cloud-based modeler component that generates interactive models of an industrial automation system(s) (IAS(s)) is presented. An interactive model facilitates remote viewing of, interaction with, troubleshooting of problems with, or optimization of industrial assets of an IAS. The modeler component polls industrial assets via cloud gateways to obtain information relating to the industrial assets to identify industrial assets of the IAS and relationships with other industrial assets or can receive information from a communication device that obtains information relating to legacy industrial assets to identify those legacy assets and their relationships. The modeler component generates an interactive model of the industrial assets of the IAS based on the information.

Abstract: In some embodiments, apparatuses and methods are provided herein useful to use with irrigation devices connected to a multi-wire path in an irrigation system. In some embodiments, there is provided a system for use with irrigation devices including a modulator configured to provide an output power signal modulated with data; a multi-wire interface coupled to the modulator and configured to electrically couple to the multi-wire path extending into a landscape and to which the irrigation devices are connected; and a control circuit configured to execute an automated device discovery process configured to cause the modulator to modulate data comprising a discovery message on the output power signal, the discovery message indicating a portion of an address to match and prompting a response from one or more of the irrigation devices in which a corresponding portion of the unique address matches the portion of the address to match.

Abstract: A virtual metrology method using a convolutional neural network (CNN) is provided. In this method, a dynamic time warping (DTW) algorithm is used to delete unsimilar sets of process data, and adjust the sets of process data to be of the same length, thereby enabling the CNN to be used for virtual metrology. A virtual metrology model of the embodiments of the present invention includes several CNN models and a conjecture model, in which plural inputs of the CNN model are sets of time sequence data of respective parameters, and plural outputs of the CNN models are inputs to the conjecture model.

Abstract: A method of controlling a microgrid comprises receiving, by a power management system, PMS, of the microgrid, operating point values for a plurality of controllable assets. The method comprises determining, by the PMS, an asset headroom. The method comprises determining, by the PMS, a modified operating point value that is dependent on the received operating point value of the controllable asset, the determined asset headroom of the controllable asset, and a total power offset of the microgrid. The method comprises controlling, by the PMS, the controllable assets for which the modified operating point values have been determined in accordance with the modified operating point values.

Abstract: A wheel track monitoring system for an irrigation system monitors the condition of a wheel track and alerts an operator and/or automatically takes corrective action when a wheel track develops ruts or other conditions that may adversely affect operation of the irrigation system. The wheel track monitoring system includes a wheel track condition sensor, a location sensor, and a processing system. The processing system receives and stores wheel track condition data and location data from the sensors as the irrigation system travels across a field and creates a log of wheel track condition data for multiple locations in the field. The processing system also analyzes the wheel track condition data to determine if the condition of the wheel track is unacceptable at any locations in the irrigated field and generates a corrective action signal if the condition is unacceptable.

Abstract: A system and method includes integrating a plurality of installation modules each having at least one process-technical unit which, besides hardware, also houses control technology, to form a modularly constructed overall installation. The installation modules are arranged three-dimensionally and, according to the description of the overall installation, are connected mechanically and electrically to one another. Between the installation modules, at least one coupling for data exchange is formed via one or more communication protocols. A configuration of the overall installation is assembled and stored on a central server unit having a data link to the installation modules. Each installation module is allocated at least one access path to the configuration.

Abstract: A monitoring system for an irrigation system that includes a nozzle and a product source that supports a product for mixing with water from a water source to which the irrigation system is operably coupled. The monitoring system includes: a sensor configured to generate a first electrical signal indicative of a travel speed and/or a travel direction of the irrigation system; a fluid pressure sensor configured to generate a second electrical signal indicative of a flow rate, a processor, a memory, and a variable speed pump or a valve. The memory includes instructions, which when executed by the processor cause the monitoring system to: receive the first and second generated electrical signals, determine an applied rate of the irrigation fluid over a predetermined irrigation area based on the first and second electrical signals, and adjust the flow rate of the irrigation fluid through the at least one nozzle.

Abstract: An irrigation communicates wirelessly with irrigation control valves. A wireless controller transceiver unit obtains signals from the irrigation controller and transmits these signals wirelessly to a valve transceiver. The irrigation control valves open or close according to the signals received by the valve transceiver. The irrigation system also includes an auxiliary communication device that communicates user commands to the controller transceiver. The user commands are used to create associations between the controller transceiver and each of the valve transceivers. The communication link between the auxiliary communication device and the communication transceiver or the valve transceiver can be an RF communication link such as Bluetooth, a close field communication link such as an inductive communication link, or an optical communication link.

Abstract: Various embodiments of the present technology relate to digital twins of devices and assemblies. More specifically, some embodiments relate to the orchestration of digital twin models for representing industrial systems based on characteristics of digital twins. In an embodiment, a method of operating an orchestration engine in an industrial automation environment comprises identifying a targeted outcome for modeling the industrial automation environment, configuring a digital twin environment corresponding to the industrial automation environment based at least on the targeted outcome, and executing a process associated with the industrial automation environment using the digital twin environment.

Abstract: The present invention provides a system and method which includes a machine learning module which analyzes data collected from one or more sources such as UAVs, satellites, span mounted crop sensors, direct soil sensors and climate sensors. According to a further preferred embodiment, the machine learning module preferably creates sets of field objects from within a given field and uses the received data to create a predictive model for each defined field object based on detected characteristics from each field object within the field.

Abstract: A device includes a housing with a reference electrode having a metal plug extending through the housing. One or more sensing surfaces are disposed on an exterior of the housing, where the one or more sensing surfaces are configured to perform a nutrient measurement of a soil. A moisture sensor is disposed on an exterior of the housing for detecting a moisture level of the soil.