公开(公告)号：US20180119972A1

公开(公告)日：2018-05-03

申请号：US15336749

申请日：2016-10-27

Applicant: Johnson Controls Technology Company

Inventor： Dinesh TRIKHA ,  Abu Bakr KHAN ,  Donald GOTTSCHALK

IPC: F24F11/00 ,  H04W84/12 ,  H04W92/04 ,  H04L12/28 ,  G05B19/042

CPC classification number: F24F11/30 ,  F24F11/58 ,  F24F11/62 ,  F24F11/63 ,  G05B19/042 ,  G05B2219/2614 ,  H04L12/2816 ,  H04L12/283 ,  H04L12/2836 ,  H04W84/12 ,  H04W92/04

Abstract: A building management system network interface device including a processing circuit, which includes a device interface and a network interface. The device interface is configured to provide a serial communication link between the network interface device and an HVAC device. The network interface is configured to communicate with an external network, and to receive data values from the processing circuit. The device interface is configured to populate one or more attributes of an equipment object with the data values. The network interface is configured to map the attributes of the equipment object to individual data objects, and to write the attributes to the mapped individual data objects. The processing circuit is further configured to execute control logic to control the operation of the HVAC device based in part on the data received from the device and one or more commands received from the external network.

公开(公告)号：US20210262689A1

公开(公告)日：2021-08-26

申请号：US17318877

申请日：2021-05-12

Applicant: Johnson Controls Technology Company

Inventor： Priti SHINDE ,  Kathiresan RAJAGOPAL ,  Abu Bakr KHAN ,  Young M. Lee

IPC: F24F11/63 ,  G06N20/10 ,  G06Q50/06 ,  G05B19/042

Abstract: A heating, ventilation, and air conditioning (HVAC) fault prediction system for a building including a processing circuit including a processor and memory, the memory having instructions stored thereon that, when executed by the processor, cause the processing circuit to receive HVAC data relating to a plurality of HVAC components, the HVAC data indicating performance of the plurality of HVAC components, generate, based on the received HVAC data, a univariate prediction model and a multivariate prediction model, generate, using the received HVAC data, one or more predicted operational parameters for the plurality of HVAC components corresponding to a future time period, and execute at least one of the univariate prediction model or the multivariate prediction model on the one or more predicted operational parameters to predict a HVAC fault associated with at least one of the plurality of HVAC components to occur during the future time period.