IP Library Granted Patent US 11,747,800
Granted Patent B2
US 11,747,800 · App. 16/418,686 · Granted Sep 5, 2023

Model predictive maintenance system with automatic service work order generation

Inventors: Mohammad N. ElBsat (Milwaukee, WI); Michael J. Wenzel (Oak Creek, WI); Zhigang Wu (Suzhou, CN); Yasutaka Yoshida (Shimizu-Ku, JP); Robert D. Turney (Watertown, WI); Liming Yang (Mequon, WI)
Assignee: Johnson Controls Tyco IP Holdings LLP
G05B23/0283G05B23/0294G06Q30/0282
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Quick Facts
Patent No.
US 11,747,800
App. No.
16/418,686
Granted
Sep 5, 2023
Kind
B2
Abstract

An automatic work order generation system for model predictive maintenance (MPM) of building equipment including an MPM system including an equipment controller to operate the building equipment to affect an environmental condition of a building. The MPM system can perform a predictive optimization to determine a service time at which to service the building equipment. The automatic work order generation system includes an equipment service scheduler that can determine whether any service providers are available to perform equipment service within a predetermined time range of the service time. In response to determining that service providers are available to perform the equipment service, the equipment service scheduler can select a service provider and an appointment time based on one or more service provider attributes. The equipment service scheduler can generate a service work order and transmit the service work order to the service provider to schedule a service appointment.

Claims (18)

1. An automatic work order generation system for model predictive maintenance of building equipment, the automatic work order generation system comprising:

a model predictive maintenance system comprising an equipment controller configured to operate the building equipment to affect an environmental condition of a building, wherein the model predictive maintenance system is configured to automatically determine a service time in a future time period at which to service the building equipment by performing a predictive optimization of an objective function for the future time period, wherein the service time is a decision of the predictive optimization and the predictive optimization determines a specific type of maintenance activity to be performed at the service time from a set of multiple different types of maintenance activities based on (1) first costs of operating the building equipment over the future time period predicted to result from the multiple different types of the maintenance activities and (2) second costs of servicing the building equipment over the future time period predicted to result from the multiple different types of the maintenance activities; and

an equipment service scheduler configured to:

determine whether any service providers are available to perform equipment service within a predetermined time range of the service time;

in response to determining that one or more of the service providers are available to perform the equipment service within the predetermined time range, select a service provider and an appointment time from the one or more available service providers based on one or more service provider attributes of each of the one or more available service providers;

generate a service work order for the service provider and the appointment time; and

transmit the service work order to the service provider to schedule a service appointment at the appointment time for the building equipment.

2. The automatic work order generation system of claim 1 , wherein:

the one or more service provider attributes include service provider availability, service provider rating, and service cost;

the one or more service provider attributes define one or more constraints on the predictive optimization; and

the service time is determined by performing the predictive optimization subject to the one or more constraints.

3. The automatic work order generation system of claim 1 , wherein the equipment service scheduler is configured to determine a score for each of the one or more available service providers based on the one or more service provider attributes.

4. The automatic work order generation system of claim 3 , wherein the equipment service scheduler is configured to select the service provider with a highest score from the one or more available service providers.

5. The automatic work order generation system of claim 1 , wherein the equipment service scheduler is configured to search a database of service providers to identify the one or more available service providers and to determine the one or more service provider attributes of each of the one or more available service providers.

6. The automatic work order generation system of claim 1 , wherein the equipment service scheduler is configured to select the service provider based on a rating equal to or greater than a predetermined value set by a user.

7. The automatic work order generation system of claim 1 , wherein the equipment service scheduler is configured to:

provide the service provider and the appointment time to a user for approval; and

generate the service work order in response to receiving approval from the user.

Assignments (3)
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Apr 9, 2024
From: JOHNSON CONTROLS TYCO IP HOLDINGS LLP
To: TYCO FIRE & SECURITY GMBH
Reel/Frame 067056/0552 →
NUNC PRO TUNC ASSIGNMENT Recorded Feb 4, 2022
From: JOHNSON CONTROLS TECHNOLOGY COMPANY
To: JOHNSON CONTROLS TYCO IP HOLDINGS LLP
Reel/Frame 058959/0764 →
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Jul 24, 2019
From: ELBSAT, MOHAMMAD N.; WENZEL, MICHAEL J.; WU, ZHIGANG; YOSHIDA, YASUTAKA; TURNEY, ROBERT D.; YANG, LIMING
To: JOHNSON CONTROLS TECHNOLOGY COMPANY
Reel/Frame 049852/0076 →