An embedded sensor can include an audio detector, a digital signal processor, a library, and a rules engine. The digital signal processor can be configured to receive signals from the audio detector and to identify the environment in which the embedded sensor is located. The library can store statistical models associated with specific environments, and the digital signal processor can be configured identify specific events based on detected sounds within the particular environment by utilizing the statistical model associated with the particular environment. The DSP can associate a probability of accuracy for the identified audible event. A rules engine can be configured to receive the probability and transmit a report of the detected audible event.

According to some embodiments, a railcar monitoring system for monitoring one or more conditions associated with a railcar comprises a railcar controller and one or more sensors disposed throughout the railcar and communicably coupled to the railcar controller. The railcar controller is configured to exchange data with the one or more sensors and transmit data from the one or more sensors to a remote location. An amount of data exchanged between the railcar controller and the one or more sensors is controlled based on a railcar context. The railcar context is based on a location and/or activity associated with the railcar.

In some embodiments, the present disclosure provides an exemplary system that includes radio frequency (RF) tags; positioned at locations throughout a roof; a tag reader configured to: generate reader RF signals at one or more frequencies to read the plurality of RF tags, and detect return RF signals from the plurality of RF tags; where the RF signals carry tag data comprising impedance values and tag identifiers; a processor of a computing device, programmed to receive the tag data; determine corresponding locations of the plurality of RF tags; and determine a wet state or dry state of the roof at one or more corresponding locations, and output an indicator of the wet state or the dry state of the roof at the one or more corresponding locations.

An embedded sensor can include an audio detector, a digital signal processor, a library, and a rules engine. The digital signal processor can be configured to receive signals from the audio detector and to identify the environment in which the embedded sensor is located. The library can store statistical models associated with specific environments, and the digital signal processor can be configured identify specific events based on detected sounds within the particular environment by utilizing the statistical model associated with the particular environment. The DSP can associate a probability of accuracy for the identified audible event. A rules engine can be configured to receive the probability and transmit a report of the detected audible event.

An embedded sensor can include an audio detector, a digital signal processor, a library, and a rules engine. The digital signal processor can be configured to receive signals from the audio detector and to identify the environment in which the embedded sensor is located. The library can store statistical models associated with specific environments, and the digital signal processor can be configured identify specific events based on detected sounds within the particular environment by utilizing the statistical model associated with the particular environment. The DSP can associate a probability of accuracy for the identified audible event. A rules engine can be configured to receive the probability and transmit a report of the detected audible event.

The present disclosure provides a system, a method and a computer-readable storage medium for realizing Internet of Things for smart city based on street lamps and lamp posts. The system includes: a plurality of data collection components, a plurality of detachable street lamps, a repeater, a hub, a cloud server, a terminal device; where the one or more data collection components are communicatively connected with the one or more detachable street lamps, the one or more detachable street lamp are communicatively connected with the repeater, the repeater is communicatively connected with the hub, the hub is communicatively connected with the cloud server, and the cloud server is communicatively connected with the terminal device. The present disclosure can not only improve the efficiency of city monitoring, but also save a lot of costs.

The present disclosure provides a system, a method and a computer-readable storage medium for realizing Internet of Things for smart city based on street lamps and lamp posts. The system includes: a plurality of data collection components, a plurality of detachable street lamps, a repeater, a hub, a cloud server, a terminal device; where the one or more data collection components are communicatively connected with the one or more detachable street lamps, the one or more detachable street lamp are communicatively connected with the repeater, the repeater is communicatively connected with the hub, the hub is communicatively connected with the cloud server, and the cloud server is communicatively connected with the terminal device. The present disclosure can not only improve the efficiency of city monitoring, but also save a lot of costs.

The present disclosure provides a method for communal facilities management in a smart city based on an Internet of Things. The method includes: obtaining first cleanliness information of the communal facilities in a target area at a first time point and weather information, construction information, factory information, and traffic information of the target area during a target time period; determining second cleanliness information of the communal facilities at the second time point based on the first cleanliness information, the weather information, the construction information, the factory information, and the traffic information; determining, based on the second cleanliness information, target cleanliness information of the communal facilities at the second time point; determining the communal facilities as target communal facilities when the target cleanliness information of the communal facilities satisfies a preset condition, and determining cleaning instructions for cleaning the target communal facilities; and sending the cleaning instructions to an object platform.

The present disclosure provides a method for communal facilities management in a smart city based on an Internet of Things. The method includes: obtaining first cleanliness information of the communal facilities in a target area at a first time point and weather information, construction information, factory information, and traffic information of the target area during a target time period; determining second cleanliness information of the communal facilities at the second time point based on the first cleanliness information, the weather information, the construction information, the factory information, and the traffic information; determining, based on the second cleanliness information, target cleanliness information of the communal facilities at the second time point; determining the communal facilities as target communal facilities when the target cleanliness information of the communal facilities satisfies a preset condition, and determining cleaning instructions for cleaning the target communal facilities; and sending the cleaning instructions to an object platform.

The present disclosure provides a method of smart gas terminal linkage disposal for indoor safety and an Internet of Things system. The method is implemented by a smart gas indoor safety management sub platform. The method includes obtaining monitoring information and user description information from a smart gas data center, the monitoring information including alarm information and gas terminal monitoring data, the monitoring information being obtained from a smart gas object platform through a smart gas sensor network platform, the user description information including user-defined alarm information uploaded by a user, and the user description information being obtained from a smart gas user platform through a smart gas service platform; determining a cause of gas leakage based on the monitoring information and the user description information; and determining a target solution based on the cause of gas leakage.