A method for predicting air quality with the aid of machine learning models includes: (A) providing air pollution data to perform an eXtreme Gradient Boosting (XGBoost) regression algorithm for obtaining a XGBoost prediction value; (B) providing the air pollution data to perform a Long Short-Term Memory (LSTM) algorithm for obtaining an LSTM prediction value; (C) combining the air pollution data, the XGBoost prediction value and the LSTM prediction value to generate air pollution combination data; (D) performing an XGBoost classification algorithm to obtain a suggestion for whether to issue an air pollution alert; and (E) performing the XGBoost regression algorithm on the air pollution combination data to obtain an air pollution prediction value. Two layers of machine learning models are built, and a situation where prediction results are too conservative when a single model does not have enough data can be improved.

These drawings Illustrate certain aspects of some of the embodiments of the present disclosure, and should not be used to limit or define the claims. FIG. 1 is a schematic diagram of an acrolein injection system and acrolein leak detection and alert system that may be used in accordance with certain embodiments of the present disclosure. FIG. 2 is another schematic diagram of an acrolein injection system and acrolein leak detection and alert: system that may be used in accordance with certain embodiments of the present disclosure. FIG. 3 is another schematic diagram of an acrolein injection system and acrolein leak detection and alert system that may be used in accordance with certain embodiments of the present disclosure. FIG. 4 is a diagram illustrating an example of a wellbore drilling assembly that may be used in accordance with certain embodiments of the present disclosure. While embodiments: of this disclosure have been depicted, such embodiments do not imply a limitation on the disclosure, and no such limitation should be inferred. The subject matter disclosed is capable of considerable modification, alteration, and equivalents in form: and function, as will occur to those skilled in the pertinent art and having the benefit of this disclosure. The depicted and described embodiments of this disclosure are examples only, and not exhaustive of the scope of the disclosure.

Provided is a method of providing a user-optimized laboratory environment. The method includes receiving user location information and user experiment information from a user terminal, receiving location information of laboratory equipment and internal environment information of a laboratory from a plurality of sensors, providing experiment guide information to a user on the basis of the user location information, the user experiment information, the location information of the laboratory equipment, and the internal environment information of the laboratory, and controlling the laboratory equipment on the basis of the user location information, the user experiment information, the location information of the laboratory equipment, and the internal environment information of the laboratory.

Building response systems and methods of building responses are described. The building response systems include a building monitoring system configured to detect the presence of a harmful agent within an enclosed space, a building management system configured to monitor a building status and control building systems, a middleware system configured to receive information from each of the building monitoring system and the building management system, wherein the information from the building monitoring system comprises an alarm status and the information from the building management system comprises building status information, and a decision engine configured to receive information from the middleware system and to determine a mitigation action in response to receiving a positive alarm status.

A municipal solid waste or recycling facility tip assessment system, controller, and computer program provide remediation for environmental contaminant items dumped at a municipal solid waste or recycling facility. The controller monitors image stream(s) from image capturing device(s) positioned to have a field of view of a haul vehicle unloading waste or recycling articles that creates a hauler-load at a tip location. The controller recognizes within the image stream(s), based on the library, an image of a environmental contaminant item included in the waste articles. The controller generates an environmental contaminant item record that aggregates time, location, and image data that establish that the origin of the recognized environmental contaminant item was the haul vehicle. The controller transmits an alert to the prohibited waste remediation system based on the recognized environmental contaminant item record.

A municipal solid waste or recycling facility tip assessment system, controller, and computer program provide remediation for environmental contaminant items dumped at a municipal solid waste or recycling facility. The controller monitors image stream(s) from image capturing device(s) positioned to have a field of view of a haul vehicle unloading waste or recycling articles that creates a hauler-load at a tip location. The controller recognizes within the image stream(s), based on the library, an image of a environmental contaminant item included in the waste articles. The controller generates an environmental contaminant item record that aggregates time, location, and image data that establish that the origin of the recognized environmental contaminant item was the haul vehicle. The controller transmits an alert to the prohibited waste remediation system based on the recognized environmental contaminant item record.

Disclosed is a headgear-type device for hazardous air quality warning and air quality improvement, wherein the device can collect biometric information of a worker, wired and wireless communications, and information about the quality of outside air around the worker so as to warn the worker of a hazard or improve air quality at the site. The headgear-type device for hazardous air quality warning and air quality improvement according to the present invention may comprise: a headgear-type biometric sensor which comes into close contact with the head of the worker so as to sense biometric information of the worker and thus allow measurements of the worker's physical conditions; a terminal which is wiredly or wirelessly connected to the headgear-type biometric sensor so as to transmit and receive the biometric information; and a server which receives the biometric information from the terminal, calculates, on the basis thereof, whether the biometric information is in a normal condition range, according to a program, and when the biometric information is not in the normal condition range, issues a warning to the worker by transmitting a warning state to the terminal.

Disclosed is a headgear-type device for hazardous air quality warning and air quality improvement, wherein the device can collect biometric information of a worker, wired and wireless communications, and information about the quality of outside air around the worker so as to warn the worker of a hazard or improve air quality at the site. The headgear-type device for hazardous air quality warning and air quality improvement according to the present invention may comprise: a headgear-type biometric sensor which comes into close contact with the head of the worker so as to sense biometric information of the worker and thus allow measurements of the worker's physical conditions; a terminal which is wiredly or wirelessly connected to the headgear-type biometric sensor so as to transmit and receive the biometric information; and a server which receives the biometric information from the terminal, calculates, on the basis thereof, whether the biometric information is in a normal condition range, according to a program, and when the biometric information is not in the normal condition range, issues a warning to the worker by transmitting a warning state to the terminal.

A system includes: an acoustic detection device comprising a plurality of microphones; an output or communication means for sending a signal or a message; a memory for storing a location of at least one region of interest and an associated threshold value; a processing circuit for detecting a location and a sound pressure level of a potential sound source; and for testing if the detected sound source is situated in a Region of Interest, and for testing if the detected Sound Pressure Level is higher than the threshold, and if an outcome of these tests is true, sending a signal or a message for operating a component, such as an audio-visual component or a valve or the like. An acoustic detection device includes Regions of Interest support.

A system includes: an acoustic detection device comprising a plurality of microphones; an output or communication means for sending a signal or a message; a memory for storing a location of at least one region of interest and an associated threshold value; a processing circuit for detecting a location and a sound pressure level of a potential sound source; and for testing if the detected sound source is situated in a Region of Interest, and for testing if the detected Sound Pressure Level is higher than the threshold, and if an outcome of these tests is true, sending a signal or a message for operating a component, such as an audio-visual component or a valve or the like. An acoustic detection device includes Regions of Interest support.