Embodiments of the present invention relate to the field of automobile technologies, and disclose a vehicle detection method, apparatus and a vehicle diagnostic device. The vehicle detection method includes: acquiring at least two vehicle identification numbers of a vehicle; comparing the at least two vehicle identification numbers to obtain a comparison result; and generating a detection result according to the comparison result, and outputting the detection result. Through comparison of a plurality of the vehicle identification numbers, consistency of the vehicle identification numbers is detected. Therefore, a user may be helped to determine whether a vehicle is overhauled or a part thereof is replaced.

Methods, devices, and systems for space conditioning based on weather information are described herein. One device includes a memory, and a processor to execute executable instructions stored in the memory to receive forecasted weather information, determine, based on the forecasted weather information, future weather conditions, determine based on the future weather conditions and historical setpoint data, whether conditioning of a space is expected, and generate an alert in response to conditioning of the space being expected.

Methods, devices, and systems for space conditioning based on weather information are described herein. One device includes a memory, and a processor to execute executable instructions stored in the memory to receive forecasted weather information, determine, based on the forecasted weather information, future weather conditions, determine based on the future weather conditions and historical setpoint data, whether conditioning of a space is expected, and generate an alert in response to conditioning of the space being expected.

Provided is an abnormality detection system that includes a first controller configured to control a substrate processing apparatus and a second controller configured to control a device provided in the substrate processing apparatus according to an instruction from the first controller, thereby detecting an abnormality in the device. The second controller includes a storage unit configured to collect status signals for the device for a predetermined time and at a predetermined sampling interval in a predetermined cycle and accumulate the collected status signals for the device, and the first controller includes an abnormality determination unit configured to acquire the accumulated status signals for the device from the second controller at a time interval equal to or longer than the predetermined time, and determine presence or absence of an abnormality in the device.

Provided is an abnormality detection system that includes a first controller configured to control a substrate processing apparatus and a second controller configured to control a device provided in the substrate processing apparatus according to an instruction from the first controller, thereby detecting an abnormality in the device. The second controller includes a storage unit configured to collect status signals for the device for a predetermined time and at a predetermined sampling interval in a predetermined cycle and accumulate the collected status signals for the device, and the first controller includes an abnormality determination unit configured to acquire the accumulated status signals for the device from the second controller at a time interval equal to or longer than the predetermined time, and determine presence or absence of an abnormality in the device.

At least one shingle is integrated with logic circuitry and various other components which enable high-level functionality and automated system diagnostics. Each shingle can automatically determine its absolute position on a rooftop and/or its position relative to other shingles in the smart shingle system. Each shingle can also detect various changes in its own power generation, efficiency, and/or operating conditions, as well as those of neighboring shingles. Each shingle can then leverage this information to conduct system diagnostics and possibly to generate and/or execute recommended solutions. In another embodiment, each shingle can be coupled to a centralized controller which can perform the same automapping and diagnostic functions. The controller can also monitor the power usage of the building to help optimize the power generation of the smart shingle system. In some embodiments, the smart shingle system can be outfitted with heating components and/or actuators to help automate the process of keeping the smart shingles clear of debris.

At least one shingle is integrated with logic circuitry and various other components which enable high-level functionality and automated system diagnostics. Each shingle can automatically determine its absolute position on a rooftop and/or its position relative to other shingles in the smart shingle system. Each shingle can also detect various changes in its own power generation, efficiency, and/or operating conditions, as well as those of neighboring shingles. Each shingle can then leverage this information to conduct system diagnostics and possibly to generate and/or execute recommended solutions. In another embodiment, each shingle can be coupled to a centralized controller which can perform the same automapping and diagnostic functions. The controller can also monitor the power usage of the building to help optimize the power generation of the smart shingle system. In some embodiments, the smart shingle system can be outfitted with heating components and/or actuators to help automate the process of keeping the smart shingles clear of debris.

A facility employing systems, methods, and/or techniques for dynamically and adaptively configuring configurable energy consuming and producing devices (e.g., smart energy devices) based on user profiles and user presence information is disclosed. In some embodiments, the facility periodically detects the presence of users, and retrieves preference information for those users. For each of one or more configurable energy devices in the area, the facility generates a combined setting based on the preferences of each user present and adjusts the devices based on the combined settings. For example, if User A, User B, and User C are present in a room and User A's preferred temperature setting is 75 F., User B's preferred temperature setting is 68 F., and User C's preferred temperature setting is 70 F., the facility may generate a combined setting for a thermostat by taking the average value of the users in the room.

A facility employing systems, methods, and/or techniques for dynamically and adaptively configuring configurable energy consuming and producing devices (e.g., smart energy devices) based on user profiles and user presence information is disclosed. In some embodiments, the facility periodically detects the presence of users, and retrieves preference information for those users. For each of one or more configurable energy devices in the area, the facility generates a combined setting based on the preferences of each user present and adjusts the devices based on the combined settings. For example, if User A, User B, and User C are present in a room and User A's preferred temperature setting is 75 F., User B's preferred temperature setting is 68 F., and User C's preferred temperature setting is 70 F., the facility may generate a combined setting for a thermostat by taking the average value of the users in the room.

In an example, an expected sky condition is calculated for a geographic location, a time of day, and a date based on a mathematical model. A predicted distribution of direct and interreflected solar radiation within the environment is calculated based on the expected sky condition. Measurement data from one or more photosensors is obtained that provides measurements of an initial distribution of direct and interreflected radiation within the environment, including radiation from solar and electrical lighting sources. A target distribution of direct and interreflected artificial electromagnetic radiation produced by electrical lighting is determined, based on the measurement data and the predicted distribution of direct and interreflected solar radiation, to achieve the target distribution of direct and interreflected radiation within the environment. Output parameters are set to one or more devices to modify the initial distribution to achieve the target distribution of direct and interreflected radiation within the environment, including diffusion characteristics of the materials between environments.