An engineering support system that supports engineering of a process control system, includes: a storage; and a processor connected to the storage and that: transforms design drawings into semantic models and outputs the semantic models to the storage; and generates a combined semantic model by combining the semantic models based on a degree of similarity among the semantic models and outputs the combined semantic model to the storage, wherein each of the semantic models is expressed by first information indicating elements included in the design drawings and second information indicating a relationship between the elements.

A method of generating a hybrid model predictive control (MPC) simulation model for a plant configured to run a process that processes at least one raw material to generate at least one tangible product. A predictive dynamic MPC sub-model is provided for each of plurality of process units in the plant, the plant including at least one process controller coupled to field devices coupled to the plurality of process units, where the process units comprise equipment for converting the raw material or an intermediate material formed from the raw material into to another material. A piping network diagram is obtained that provides a representation of a piping network for routing of the raw material and the intermediate material during the process. The dynamic MPC sub-models are coupled together using the piping network to generate the hybrid MPC simulation model which models the plant as a whole.

A system and a method for calibrating a model of thermal dynamics of thermal state in an environment of a building conditioned by an operation of a heating, ventilating, and air-conditioning (HVAC) system is provided. The method includes receiving values of the control inputs to the actuators of the HVAC system and values of the thermal state at locations of the environment caused by the operation of the HVAC system according to the values of the control inputs, and computing a probabilistic surrogate model iteratively, using a Bayesian optimization, until a termination condition is met. The method further comprises outputting, when the termination condition is met, an optimal combination of the different parameters of the model of thermal dynamics having the largest likelihood of being a global minimum at the probabilistic surrogate model according to an acquisition function of the first two order moments of the calibration errors.

The present invention relates to a method for calculating a head loss coefficient and branch pipe flow distribution of a multi-point water intake. The method includes the following steps: inputting and determining a structure and size information of the multi-point water intake; determining a head loss coefficient; determining a head loss coefficient form of a confluence port; pre-estimating or adjusting a trial flow; performing trial calculation on the head loss coefficient of each branch pipe; comparing the head losses calculated by two flow paths; and carrying out overall calculation. According to the present invention, the flow of each branch pipe is adjusted and the head loss coefficient is repeatedly calculated by utilizing iterative calculation of the head loss coefficients of the flows in two directions, so that the head loss and the flow distribution proportion can be finally and accurately calculated.

A method of evaluating compliance of a component of an aircraft engine with flow requirements has: obtaining experimental data from experimental testing on a prototype of the component; obtaining a digitized model of a production model of the component, the digitized model including digitized apertures having geometrical data corresponding to that of apertures defined in the production model; computing a nominal mass flow rate through the digitized apertures using the geometrical data and flow parameters from the experimental data; correcting the nominal mass flow rate of the digitized model to obtain a computed mass flow rate of the production model; and assigning at least one parameter to the production model, the at least one parameter indicative of installation approval of the production model of the component for installation on the aircraft engine when the computed mass flow rate is determined to be within a prescribed range of the flow requirements.

A damping shock absorber includes a pipe and a plurality of shock absorbers configured on the pipe. The shock absorber includes a main body sleeved on the outer periphery of the pipe and a damping medium filled in the main body. The main body is provided with an inner cavity, and the inner cavity is divided into a plurality of chambers for placing the damping medium separately. A method for designing the damping shock absorber, wherein the main body is filled with the damping medium, such that the shock of the pipe or a shaft body is reduced, ensuring the smooth operation of the pipe or the shaft body, and further ensuring the safety and efficiency of the pipe or the shaft body in a working process. The damage to the pipe or the shaft body and the shock interference to other linked apparatuses are greatly avoided.

A server (20) of a plant design system (1) includes a device input reception module (2033) for receiving an input operation (object allocation operation) for a type and allocation position of a block pattern or device to be allocated in a virtual space for plant design, a device allocation module (2034) for displaying a display based on information of the type and allocation position of the block pattern or device, and a pipe routing module (2037) for receiving an instruction operation (routing operation) to associate routing of piping with the block pattern or device and perform routing.

A piping diagram creation device is provided configured to: generate virtual pipelines, the virtual pipelines being identified by characteristic evaluation data expressed as a sequence of numbers with an assembling angle θi of assembling portions of the respective straight pipes and cut pipes allocated between respective intersections, and an adjustment margin Lj of the cut pipe length as variables; calculate an evaluation value of each virtual pipeline based on a difference value and so on between the total number of intersections and control points and the number of intersections and control points having an error between the virtual pipeline and each intersection and between the virtual pipeline and each control point at or below a predetermined threshold, the latter number being a continuous count from the start point; and generate a pipeline assembling diagram based on one virtual pipeline with an excellent evaluation value.

A sewage pipe network real-time simulation method based on water supply Internet of Things data drive. The method involves an offline module and a real-time online module, wherein the offline module integrates a sewage pipe network model and a water supply pipe network hydraulic model, corrects historical water consumption of each node of the water supply pipe network hydraulic model, establishes a correction single-objective optimization model of the sewage pipe network model, and determines a transfer coefficient between the water consumption of each node and an inflow of an inspection well; and the real-time online module realizes the real-time simulation of hydraulic parameters of the sewage pipe network model. The method fills a vacancy in the field of sewage pipe network real-time simulation, and important technical support is provided for the management of sewage pipe network systems, and the method has good value in promotion and practical engineering application.

An intelligent decision-making method for maintaining urban underground sewer network includes steps of: analyzing with a sewer network functional defect three-dimensional instantaneous hydraulic model; calibrating parameters by finite element fitting analysis and full-scale test, and verifying accuracy of the sewer network functional defect three-dimensional instantaneous hydraulic model; combining node water level iteration method, Preissmann slit method, Godunov finite volume method and unstructured grid to rebuild a surface-subsurface one-two-dimensional coupled connection model; using R language, dynamic library linking technology, and long-short-term memory neural network method of multi-source data samples for engineering secondary development of the surface-subsurface one-two-dimensional coupled connection model, and obtaining urban sewer network functional defect conditions with waterlogging result labels; and establishing a multi-objective planning intelligent decision-making model for sewer network maintenance and a solving method thereof. The present invention provides intelligent, accurate and scientific management for urban sewer network.