The invention involves the automated testing of HVAC units using an energy management system. The automated HVAC test is performed to understand if one or more HVAC units are operational across one or more locations. If an HVAC unit is not operational, HVAC testing could be performed to understand which component or stage of the HVAC unit is not working as designed. The automated HVAC test is also used to calculate the efficiency of the HVAC unit(s) being tested. The various HVAC tests are performed on all HVAC units as a form of preventative maintenance and diagnostics. These tests can be scheduled on-demand, for a future date and time, or on a recurring schedule (monthly or quarterly). A report is generated for each HVAC test and can be viewed and exported from a cloud-based energy management platform.

Systems and methods presented herein include a real-time operations center includes at least one processor and at least one memory medium. The at least one processor is configured to execute computer-readable instructions stored in the at least one memory medium that, when executed by the at least one processor cause the real-time operations center to receive operational data in substantially real-time from equipment that is located at a worksite and that is being monitored by the real-time operations center; perform data analytics on the operational data during operation of the equipment; and provide one or more graphical user interfaces to one or more computing devices, wherein the one or more graphical user interfaces illustrate results of the data analytics. In addition, systems and methods presented herein also include a data analytics kiosk having substantially similar features and configured to display the one or more graphical user interfaces via a display of the data analytics kiosk.

A system for detecting and evaluating environmental quantities and events is formed by a detection and evaluation device and a mobile phone, connected through a wireless connection. The device is enclosed in a containment casing housing a support carrying a plurality of inertial sensors and environmental sensors. A processing unit is coupled to the inertial sensors and to the environmental sensors. A wireless connection unit, is coupled to the processing unit and a wired connection port, is coupled to the processing unit. A programming connector is coupled to the processing unit and is configured to couple to an external programming unit to receive programming instructions of the processing unit. A storage structure is coupled to the processing unit and a power-supply unit supplied power in the detection and evaluation device. The mobile phone stores an application, which enables a basicuse mode, an expert use mode, and an advanced use mode.

A hot water supply device including an inlet pipe, an outlet pipe, a burner unit, a heat exchanger, an exhaust aperture, a first temperature sensor detecting a measured exhaust temperature of the exhaust gas, a second temperature sensor detecting a water temperature of water entering the inlet pipe, and a processor. The processor is configured to obtain an error between the measured exhaust temperature and an estimated exhaust temperature, and detects that scale clogging has occurred inside the heat exchange tubing based on an index which is generated using the error between the measured exhaust temperature and the estimated exhaust temperature. The estimated exhaust temperature is a first predetermined value that is determined using a numerical equation which has at least the water temperature of water entering the inlet pipe and a scale number of the hot water supply device as variables of the numerical equation.

Disclosed is a method and apparatus for determining a capability of a vehicle, for example, an aircraft. The method comprises: acquiring, by one or more processors, from the vehicle, fault data that indicates the presence or absence of a fault on the vehicle; acquiring, by the one or more processors, a mission model specifying a mission to be performed; and processing, by the one or more processors, the fault data to determine an indication indicative of a capability of the vehicle to perform the mission specified by the mission model. The fault data may include one or more Fault Indication Codes (FICs) that are activated in response to the presence of respective faults in the vehicle. The one or more processors may, using the determined indications, determine a mission or maintenance schedule for the vehicle.

A monitoring method, the purpose of which is, when a loss of power is detected in an aircraft engine, to generate an alarm in the form of a single message displayed on a display screen in the cockpit, in order to indicate if the level of damage suffered by the engine is critical or not. The steps implemented are based on alarm signals transmitted by a central processing unit of the engine and also on alarm signals transmitted by a diagnostic device for the onboard systems of the aircraft, in order to take account of both the situation of the engine and also the situation of the systems surrounding the engine which can be affected by damage to an engine.

An arc detection and intervention system for a solar energy system. One or more arc detectors are strategically located among strings of solar panels. In conjunction with local management units (LMUs), arcs can be isolated and affected panels disconnected from the solar energy system.

Systems and methods are provided for detecting events in industrial processes. An acquisition system may include one of a camera and an audio recorder to acquire monitoring data in the form of one of imaging data and acoustic data, respectively. A computer system, may include a machine learning engine and may be programmed to classify the monitoring data under a classifier, quantify, based on the classifier, the monitoring data with at least one quantifier, and detect an event when the at least one quantifier satisfies a predetermined rule corresponding to the at least one quantifier.

There is described a system and method for active fault detection of an HVAC system and its associated mechanical equipment comprising building automation controllers and a remote device. A request for active fault detection of controllers of a building automation system (“BAS”) network is received. A passive test associated with each controller is executed by analyzing the controller via read-only access to operations of the controller. The passive test includes identifying a fault condition and a work item associated with the controller or a mechanical device connected to the controller. A full range full range active test based on the fault condition and the work item associated with each controller is executed by analyzing the controller via direct command access to the operations of the controller. A controller function associated with the request for active fault detection of the controllers is performed in response to executing the full range active test.

An arc detection and intervention system for a solar energy system. One or more arc detectors are strategically located among strings of solar panels. In conjunction with local management units (LMUs), arcs can be isolated and affected panels disconnected from the solar energy system.