A moisture sensing system for a refrigerant flow of a heating, ventilation and air conditioning (HVAC) system includes a moisture sensor including a color change material sample located in a refrigerant flow of the HVAC system. The color change material sample configured to change color as an indication of a moisture level of the refrigerant flow. A color sensor is in optical communication with the moisture sensor and is configured to sense a color of the color change material and communicate the sensed color to an HVAC system controller. A method of operating an HVAC system includes exposing a condensing a color change material sample to a flow of refrigerant and sensing a color of the color change material via a color sensor. The color is indicative of a moisture level of the flow of refrigerant. The sensed color is communicated to an HVAC system controller.

A moisture sensing system for a refrigerant flow of a heating, ventilation and air conditioning (HVAC) system includes a moisture sensor including a color change material sample located in a refrigerant flow of the HVAC system. The color change material sample configured to change color as an indication of a moisture level of the refrigerant flow. A color sensor is in optical communication with the moisture sensor and is configured to sense a color of the color change material and communicate the sensed color to an HVAC system controller. A method of operating an HVAC system includes exposing a condensing a color change material sample to a flow of refrigerant and sensing a color of the color change material via a color sensor. The color is indicative of a moisture level of the flow of refrigerant. The sensed color is communicated to an HVAC system controller.

In some implementations, a system performs proactive performance tests for an appliance before a time for an operational change in usage of the appliance. Usage data for an appliance associated with a property may be obtained. The obtained usage data indicates past activity of the appliance and present operational status of the appliance. Weather forecast data associated with a location of the property can be obtained. A time for an operational change in usage of the appliance can be predicted based at least on the obtained usage data for the appliance and the obtained weather forecast data. An operation directed to conducting one or more performance tests on the appliance can be performed before the predicted time for the operational change in usage of the appliance. One or more communications related to the one or more performance tests of the appliance can be provided to a client device.

In some implementations, a system performs proactive performance tests for an appliance before a time for an operational change in usage of the appliance. Usage data for an appliance associated with a property may be obtained. The obtained usage data indicates past activity of the appliance and present operational status of the appliance. Weather forecast data associated with a location of the property can be obtained. A time for an operational change in usage of the appliance can be predicted based at least on the obtained usage data for the appliance and the obtained weather forecast data. An operation directed to conducting one or more performance tests on the appliance can be performed before the predicted time for the operational change in usage of the appliance. One or more communications related to the one or more performance tests of the appliance can be provided to a client device.

Tools and techniques are described to automate commissioning of physical spaces. Controllers have access to databases of the devices that are controlled by them, including wiring diagrams and protocols, such that the controller can automatically check that each wire responds correctly to stimulus from the controller. Controllers also have access to databases of the physical space such that they can check that sensors in the space record the correct information for device activity, and sensors can cross-check each other for consistency. Once a physical space is commissioned, incentives can be sought based on commissioning results.

Tools and techniques are described to automate commissioning of physical spaces. Controllers have access to databases of the devices that are controlled by them, including wiring diagrams and protocols, such that the controller can automatically check that each wire responds correctly to stimulus from the controller. Controllers also have access to databases of the physical space such that they can check that sensors in the space record the correct information for device activity, and sensors can cross-check each other for consistency. Once a physical space is commissioned, incentives can be sought based on commissioning results.

A system generates alerts based on sensor data obtained from equipment, for example, refrigeration equipment. Examples of equipment instances include refrigeration equipment, heating equipment, air conditioning equipment, and so on. The system accesses a model, for example, a machine learning model trained to predict an alert threshold for generation of alerts. The system modifies the alert threshold value for an equipment instance based on the output of the machine learning model. The system uses the modified alert threshold value for generating alerts. The system may track the number of times the alert threshold was adjusted. If the number of times the alert threshold value is modified exceeds a predetermined fault threshold value, the system determines that the equipment is faulty.

A system generates alerts based on sensor data obtained from equipment, for example, refrigeration equipment. Examples of equipment instances include refrigeration equipment, heating equipment, air conditioning equipment, and so on. The system accesses a model, for example, a machine learning model trained to predict an alert threshold for generation of alerts. The system modifies the alert threshold value for an equipment instance based on the output of the machine learning model. The system uses the modified alert threshold value for generating alerts. The system may track the number of times the alert threshold was adjusted. If the number of times the alert threshold value is modified exceeds a predetermined fault threshold value, the system determines that the equipment is faulty.

A system for remote diagnostic analysis of a heating, ventilation and air condition (HVAC) system is provided. The system includes a thermostat in operable communication with at least one peripheral component of the HVAC system and configured to receive information relating to the at least one peripheral component, and a server in operable communication with the thermostat for receiving and analyzing the information. The server causes the at least one peripheral component to conduct a diagnostic test and analyzes the test result to perform a root cause analysis of a system malfunction.

A system for remote diagnostic analysis of a heating, ventilation and air condition (HVAC) system is provided. The system includes a thermostat in operable communication with at least one peripheral component of the HVAC system and configured to receive information relating to the at least one peripheral component, and a server in operable communication with the thermostat for receiving and analyzing the information. The server causes the at least one peripheral component to conduct a diagnostic test and analyzes the test result to perform a root cause analysis of a system malfunction.