Technical solutions relate to the field of big data technologies. A technical solution includes: pre-training a time series prediction model using first historical regional heat data; and taking second historical regional heat data as a second support set, and further training the time series prediction model using the second support set to adjust model parameters, so as to obtain the regional heat prediction model; and the regional heat prediction model is configured to predict a second query set, and the second query set includes regional heat at a prediction time.

A water and wastewater treatment process optimization and automatic design system and a design method using the same of the present invention can optimize water and wastewater treatment processes for design of a water and wastewater treatment device that includes a plurality of treatment processes and can automatically generate design deliverables such as drawings, bills of quantities, etc., for design of an optimal process configuration.

Embodiments of the systems and methods disclosed herein can related to an additive manufacturing process involving the use of an algorithm to determine the optimal build orientation of a build that will result in minimal thermal distortion during the build. The algorithm includes a momentum of inertia based objective function, wherein the output of the objective function can be used as a proxy for thermal distortion. In some embodiments, objective function can be configured as a mathematical matrix with mathematical variables modeling rotation angles of a build. The rotation angles can be in the x-, y-, and/or z-geometric planes of the build with respect to the build plate. An objective function output can be calculated for each iterative rotation. The minimum objective function output can be used as the rotation representing the orientation that would result in minimal thermal distortion.

A method of compensating for sintering warpage due to powder spreading density variations in binder jetting additive manufacturing, including receiving an initial design file defining an object geometry, representing the object geometry as a part mesh and filling the mesh with a grid of voxels to create a voxel grid, each voxel having at least one shrinkage coefficient. For each voxel, determining a distortion factor caused by a powder density variation induced during a powder spreading process and adjusting the at shrinkage coefficient of each voxel according to its respective distortion factor. Next, a shrinkage of the grid of voxels is simulated according to a sintering process. A negative compensation is applied to the voxel grid, according to the simulated shrinkage of the grid of voxels, to form a compensated voxel grid. Lastly, the change in the voxel grid is mapped to the compensated voxel grid onto the part mesh to create a pre-processed compensated part mesh.

A method of compensating for shrinking and distortion of an object resulting from a manufacturing process. A scan is performed of an object following a manufacturing process to produce scan data. The scan data is aligned to a part mesh of the object. The part mesh is adjusted to substantially coincide with the scan data by moving part mesh vertices. Delta vectors are computed by subtracting initial part mesh vertex positions from final part mesh vertex positions. The inverse of the delta vectors are applied to the preprocessed part mesh to give a scan adjusted pre-processed shape.

A heat supply network hydraulic circuit modeling method for a comprehensive energy system scheduling is provided. The hydraulic analysis model is unified with the power network model, and the connection between the hydraulic dynamic state and the hydraulic steady state is established. Based on the characteristic equations of thermal pipelines, flow control valves and compressors, this method abstracts hydraulic circuit element models such as hydraulic resistance, hydraulic inductance, and hydraulic pressure source, establishes hydraulic branch characteristics of the heat supply network based on the above hydraulic circuit elements, establishes the hydraulic topology constraints of the heat supply network based on Kirchhoff-like voltage and current laws, and establishes the steady hydraulic network equation by combining the above hydraulic branch characteristics and hydraulic topology constraints.

A modeling method for an integrated intake/exhaust/engine aero propulsion system with multiple geometric parameters adjustable includes the following steps: establishing an inlet and nozzle model by quasi one-dimensional aerodynamic thermodynamics and the method for solving the excitation system on the basis of a traditional engine component-level model; adding an inlet and engine flow balance equation and an engine and nozzle flow balance equation to the engine model, and establishing a propulsion system model based on the iteration method; and integrating the design of geometric parameters of an inlet and a nozzle into the model to realize the design of structure sizes of an intake/exhaust system and the simultaneous adjustment of multiple parameters.

The temperature distribution estimating method of the disclosure includes a building operation to build a numerical model for a form and thermal behavior of a substrate; a setting operation to set a regularization parameter to adjust noises of a temperature of the substrate measured by a temperature sensor; a generating operation to generate a sensitivity coefficient matrix that estimates a heat source received by the substrate from a plurality of heaters; a condensing operation to condense the sensitivity coefficient matrix based on a power ratio input in the heaters respectively; and estimating operation to estimate an entire temperature distribution of the substrate based on the numerical model, the regularization parameter, and the condensed sensitivity coefficient matrix, when predetermined temperature data are input.

An information processing apparatus includes a receiving unit configured to receive input of shape data of a device that is a subject of a thermal analysis, a selection unit configured to select a modeling method for a component included in the device, a generation unit configured to generate a thermal network model of the component from the shape data based on the selected modeling method, an addition unit configured to add a node and an element to the thermal network model, a setting unit configured to set a boundary condition to the thermal network model, a determination unit configured to determine a physical quantity of the thermal network model, and a display unit configured to display the determined physical quantity.

An information processing apparatus executes a simulation of a process state being executed in a semiconductor manufacturing apparatus using a simulation model of the semiconductor manufacturing apparatus. The information processing apparatus includes: a physical sensor data acquisition unit that acquires physical sensor data measured at the semiconductor manufacturing apparatus that executes a process according to a process parameter; and a simulation execution unit that executes a simulation by the simulation model according to the process parameter including the physical sensor data, and calculate virtual sensor data and virtual process result data. The physical sensor data acquired by the physical sensor data acquisition unit includes a temperature of a gas introduced into the semiconductor manufacturing apparatus that executes the process.