Building management system with device twinning, communication connection validation, and block chain

Patent metadata

Field	Value
Publication number	US-11774925-B2
Application number	US-201916673738-A
Country	US
Kind code	B2
Filing date	Nov 4, 2019
Priority date	Nov 5, 2018
Publication date	Oct 3, 2023
Grant date	Oct 3, 2023

Abstract

A building management system includes one or more processing circuits. The one or more processing circuits are configured to receive, from a physical building device of a building, environmental inputs and environmental outputs of the physical building device; generate a building device digital twin for the physical building device based on the received environmental inputs and the received environmental outputs; generate a predicted future performance of the physical building device based on the building device digital twin; and generate a recommendation based on the predicted future performance of the physical building device, the recommendation indicating one or more changes to implement on the physical building device. The building device digital twin is a model for predicting the behavior of the physical building device ore changes to implement on the physical building device.

First claim

What is claimed is:

1. A building management system (BMS) comprising:
one or more processing circuits configured to:
receive, from a physical building device of a building, environmental inputs and environmental outputs of the physical building device via a communication connection, the communication connection configured based on at least one network configuration parameter;
validate, using data stored by a memory device of the one or more processing circuits, the communication connection;
generate, responsive to validation of the communication connection, a building device digital twin for the physical building device based on the environmental inputs and the environmental outputs, wherein the building device digital twin is a virtual representation of a plurality of components of the physical building device and comprises a model that simulates operation of the physical building device for predicting behavior of the physical building device;
generate a predicted future performance level of the physical building device based on the building device digital twin by executing the model based on the environmental inputs to generate simulated environmental outputs that simulate the operation of the physical building device, wherein the predicted future performance level is based on the simulated environmental outputs and the received environmental outputs;
generate a recommendation based on the predicted future performance level indicating a decrease in a performance level of the physical building device, the recommendation indicating one or more changes to improve the performance level of the physical building device;
generate, using a change of the one or more changes, an update to an operating parameter of the physical building device of the building; and
control an environmental condition of the building by transmitting, via a network, the update to the physical building device.

2. The BMS of claim 1 , wherein the one or more processing circuits are configured to:
receive a natural language input from a user of a user device comprising a request for generation of analytics for the physical building device;
perform natural language processing to determine the request for the generation of analytics for the physical building device; and
generate the recommendation in response to determining the request for the generation of analytics.

3. The BMS of claim 1 , wherein the one or more processing circuits are configured to:
present, via a user interface of a user device, the recommendation, wherein the recommendation comprises at least one of:
an indication to schedule preventative maintenance for the physical building device;
an indication to adjust the operating parameter of the physical building device; and
an indication of an adjustment to make to a future design of the physical building device.

4. The BMS of claim 1 , wherein the one or more processing circuits are configured to:
control, via the physical building device, the environmental condition of the building based on the update.

5. The BMS of claim 4 , wherein the one or more processing circuits are configured to:
store initial network configuration parameters associated with the network in a private block chain, the network configured to communicate with the physical building device;
determine current network configuration parameters;
determine whether the network has been compromised by comparing the current network configuration parameters to the initial network configuration parameters, wherein a match between the current network configuration parameters and the initial network configuration parameters indicates that the network has not been compromised; and
transmit the update to the physical building device in response to a determination that the network has not been compromised.

6. The BMS of claim 1 , wherein the one or more processing circuits are configured to generate the building device digital twin for the physical building device based on the received environmental inputs and the received environmental outputs by:
generating a decision forest regression model;
generating a training data set and a scoring data set by dividing the environmental inputs and the environmental outputs into the training data set and the scoring data set;
training the decision forest regression model based on the training data set, wherein the decision forest regression model is the building device digital twin; and
generating a performance metric for the decision forest regression model by evaluating the decision forest regression model based on the scoring data set.

7. The BMS of claim 1 , wherein the one or more processing circuits are configured to generate the predicted future performance level of the physical building device based on the building device digital twin by:
receiving current environmental inputs from the physical building device, wherein the current environmental inputs are recorded by the physical building device after the environmental inputs; and
generating the simulated environmental outputs based on the building device digital twin and the current environmental inputs.

8. The BMS of claim 1 , wherein the one or more processing circuits are configured to:
receive real-time environmental inputs from the physical building device;
generate a three dimensional view of the building and the physical building device; and
present, via a user interface of a user device, the three dimensional view of the building and the physical building device, and an indication of the received real-time environmental inputs.

9. A method comprising:
receiving, from a physical building device of a building, environmental inputs and environmental outputs of the physical building device via a communication connection, the communication connection configured based on at least one network configuration parameter;
validating, using data stored by a memory device of one or more processing circuits, the communication connection;
generating, responsive to validation of the communication connection, a building device digital twin for the physical building device based on the received environmental inputs and the received environmental outputs, wherein the building device digital twin is a virtual representation of a plurality of components of the physical building device and comprises a model that simulates operation of the physical building device for predicting behavior of the physical building device;
generating a predicted future performance level of the physical building device based on the building device digital twin by executing the model based on the received environmental inputs to generate simulated environmental outputs that simulate the operation of the physical building device, wherein the predicted future performance level is based on the simulated environmental outputs and the received environmental outputs;
generating a recommendation based on the predicted future performance level indicating a decrease in a performance level of the physical building device, the recommendation indicating one or more changes to improve the performance level of the physical building device;
generating, using a change of the one or more changes, an update to an operating parameter of the physical building device of the building; and
controlling an environmental condition of the building by transmitting, via a network, the update to the physical building device.

10. The method of claim 9 , further comprising:
receiving a natural language input from a user of a user device comprising a request for generation of analytics for the physical building device;
performing natural language processing to determine the request for the generation

Assignees

• Johnson Controls Tyco IP Holdings LLP

Inventors

• Sharma Vikas
• Dixit Sudhanshu
• Thareja Ankur
• Nayak Rajesh
• Virdi Harpreet Singh
• Kumar Anil
• Singh Rajeev T

Classifications

• G06N3/09

  Supervised learning · CPC title

• G05B13/048 Primary

  using a predictor · CPC title

• G05B23/0283

  Predictive maintenance, e.g. involving the monitoring of a system and, based on the monitoring results, taking decisions on the maintenance schedule of the monitored system; Estimating remaining useful life [RUL] (preventive maintenance, i.e. planning maintenance according to the available resources without monitoring the system G06Q10/06) · CPC title

• G06F40/30

  Semantic analysis · CPC title

• G06N7/01

  Probabilistic graphical models, e.g. probabilistic networks · CPC title