Methods and systems are described for robot transportation of objects into or out of a home automation system. One example may include determining, by a mobile robotic device, that an object is available to cross a boundary of the home automation system. The method may include deactivating at least a portion of the home automation system. The method also include retrieving, by the mobile robotic device, the object and transporting, by the mobile robotic device, the object across the boundary. The method further includes leaving, by the mobile robotic device, the object at a drop-off location. The method may also include reactivating at least the portion of the home automation system.

An integrated device in an HVAC system is configured to modify an environmental condition of a building. The integrated device includes a valve configured to regulate a flow of a fluid through a conduit and an actuator. The actuator includes a motor and a drive device. The drive device is driven by the motor and coupled to the valve for driving the valve between multiple positions. The integrated device further includes a processing circuit coupled to the motor. The processing circuit is configured to detect device identifying information for the valve or the actuator and to detect the integrated device location within the building.

A building management system includes connected equipment configured to measure a plurality of monitored variables and a predictive diagnostics system configured to receive the monitored variables from the connected equipment; generate a probability distribution of the plurality of monitored variables; determine a boundary for the probability distribution using a supervised machine learning technique to separate normal conditions from faulty conditions indicated by the plurality of monitored variables; separate the faulty conditions into sub-patterns using an unsupervised machine learning technique to generate a fault prediction model, each sub-pattern corresponding with a fault, and each fault associated with a fault diagnosis; receive a current set of the monitored variables from the connected equipment; determine whether the current set of monitored variables correspond with one of the sub-patterns of the fault prediction model to facilitate predicting whether a corresponding fault will occur; and determining the fault diagnosis associated with the predicted fault.

A load control system may be configured using a design (e.g., graphical user interface) software. The design software may display icons representing fixtures (e.g., lighting fixtures) and devices (e.g., load control devices, controls, sensors, etc.) on a canvas. The design software may define relationships between the fixtures and/or devices. The design software may provide load control templates defining collections of devices, for example, for particular rooms in a building. The templates may be quickly placed on the canvas to define a particular area. Fixtures may be added to a template on the canvas and the design software may automatically create relationships between the fixtures and the devices (e.g., load control devices) of the template. In addition, the design software may automatically create relationships between the devices of the template (e.g., between controls and load control devices).

A powerful direct digital control (DDC) and integration control platform that is scalable and easy to use and meet building owners and contractors' desires for a highly secure and robust technical solution. One may combine heating, ventilation and air conditioning (HVAC) DDC control with the embedded workstation platform, and DDC controllers with embedded workstation platform software design. An embedded workstation platform event-driven approach (such as a Windows operating system (OS) or Unix OS environment) is not necessarily easily suited to real-time common in HVAC DDC control. The present system may solve an issue of combining high-power event needs for HVAC DDC Controls.

In one embodiment, a method includes receiving a user input corresponding to a task from a first user at a client system, determining that executing the task is to be triggered by client-side events being satisfied and server-side events being satisfied, determining that the client-side events are satisfied, sending a first indication that the client-side events are satisfied from the client system to a remote server, wherein the first indication comprises no privacy-sensitive information regarding the client-side events, receiving a second indication of the server-side events being satisfied at the client system from the remote server, and executing the task.

Methods and systems for configuring a modular building control system. An illustrative method may include entering a configuration mode in a base module and in each of the expansion modules. While in the configuration mode, the base module may collect information from each of the expansion modules. A system configuration may be created for the modular building control system based at least in part on the collected information and includes configuration parameters for the base module and each of the expansion modules. The base module may transmit to each of the expansion modules their respective configuration parameters. The base module and each of the expansion modules may install their respective configuration parameters, exit the configuration mode, and enter an operation mode. While in the operation mode, the base module and each of the expansion modules may control the modular building control system.

A building control system includes a building controller and a user interface device operatively coupled to the building controller. The building controller is wall mountable and includes a plurality of ports for controlling one or more points that are associated with one or more plants of a building. The building controller controls the one or more points in accordance with one or more programmable point control values that are associated with one or more points. The user interface device provides a user interface for operating the building controller and is configured to display a plurality of menu screens on a display that allow a user to view one or more of the points, change the programmable control value for one or more of the points, and view one or more alarms generated by the building controller for one or more of the points.

An energy management system is disclosed for optimizing energy usage of HVAC equipment in a building complex. The energy management system is configured to be integrated into an existing Building Automation System (“BAS system”) in order to process the data points in a less time consuming and efficient manner relative to known systems that map one point at a time. The BAS system data points are “point mapped”, i.e., uploaded to a file in the “cloud”, and are updated continuously as a function of time and deposited in a “bucket” in which the data points are unfiltered. These data points can then be filtered by node path and equipment in order to bulk tag equipment and bulk tag points in each of the buildings. These bulk tagged points data points can then be linked to specific rules in an analytical rules library. The system automatically applies predetermined analytical rules to tagged HVAC data points without specific knowledge of the rule by the user. These analytical rules are used to determine energy usage for each type of equipment and are pre-stored in the cloud. By selecting an equipment type, the correct analytical rule is automatically applied in bulk to the selected HVAC equipment type, and a report may be selectively generated for the selected piece(s) of HVAC equipment.

The disclosure provides a control method, a control apparatus and a cloud-based control system, and belongs to the technical field of cloud-based control. The control method includes: receiving first identification information sent by a client, wherein the first identification information comprises a first identifier and first position information of a device to be controlled; verifying whether the first identifier corresponds to the first position information; if the first identifier corresponds to the first position information, sending a verification requirement to the client, wherein the verification requirement is used for requesting a user to control the device to be controlled at a position of the device to be controlled; receiving a control instruction for the device to be controlled sent by a current control device; determining, according to the verification requirement and the control instruction, whether the client has control permission to the device to be controlled; if the client has the control permission, receiving a remote control instruction sent by the client, and controlling the device to be controlled through the current control device.