The embodiment of the present disclosure provides a method for linkage between an alarm and a gas meter based on smart gas. The method is executed by the gas meter. The method includes: obtaining a detection signal through electrical connection with the alarm; and closing a gas valve of the gas meter in response to the detection signal meeting the preset alarm condition.

The embodiment of the present disclosure provides a method for linkage between an alarm and a gas meter based on smart gas. The method is executed by the gas meter. The method includes: obtaining a detection signal through electrical connection with the alarm; and closing a gas valve of the gas meter in response to the detection signal meeting the preset alarm condition.

A system and method perform automatic switching of multiple vendor controllers with an interfaced input/output device. The method comprises storing parameters in a memory, wherein the parameters specify each type of instrument controller in a respective one of a plurality of vendor classes, and automatically switching a signal between an instrument and at least one of a first instrument controller of a first vendor class and a second instrument controller of a second vendor class using the parameters, wherein the first vendor class and the second vendor class are different. The system and an automatic input/output switch controller implement the method.

A system and method perform automatic switching of multiple vendor controllers with an interfaced input/output device. The method comprises storing parameters in a memory, wherein the parameters specify each type of instrument controller in a respective one of a plurality of vendor classes, and automatically switching a signal between an instrument and at least one of a first instrument controller of a first vendor class and a second instrument controller of a second vendor class using the parameters, wherein the first vendor class and the second vendor class are different. The system and an automatic input/output switch controller implement the method.

A control device that controls polygon turning to simultaneously rotate a workpiece and a tool and form a polygon on a surface of the workpiece inputs information on misalignment in a rotation direction of a cutting tool T attached to a tool body, generates adjustment pulses to correct the misalignment in the rotation direction of the cutting tool T, and generates a rotation command for rotating, at a predetermined angular velocity, a tool axis used for performing polygon turning. The control device then superimposes the generated adjustment pulses on the generated rotation command in idle running of the tool, corrects the misalignment in the rotation direction of the cutting tool T, and thereby improves the precision of the polygon turning.

A control device that controls polygon turning to simultaneously rotate a workpiece and a tool and form a polygon on a surface of the workpiece inputs information on misalignment in a rotation direction of a cutting tool T attached to a tool body, generates adjustment pulses to correct the misalignment in the rotation direction of the cutting tool T, and generates a rotation command for rotating, at a predetermined angular velocity, a tool axis used for performing polygon turning. The control device then superimposes the generated adjustment pulses on the generated rotation command in idle running of the tool, corrects the misalignment in the rotation direction of the cutting tool T, and thereby improves the precision of the polygon turning.

This present disclosure provides a method for gate station compressor operation optimization for smart gas, which is implemented based on an Internet of Things system for gate station compressor operation optimization for smart gas. The Internet of Things system includes a smart gas device management platform, a smart gas sensor network platform, and a smart gas object platform interacting in sequence. The method is executed by the smart gas device management platform, comprising: obtaining user features of a downstream gas usage based on the smart gas object platform, the user features including at least a user type; obtaining operation parameters of a compressor based on the smart gas object platform, the operation parameters including at least a rated outlet pressure set by the compressor; and determining a rated outlet pressure adjustment amount of the compressor based on the user features and the operation parameters.

This present disclosure provides a method for gate station compressor operation optimization for smart gas, which is implemented based on an Internet of Things system for gate station compressor operation optimization for smart gas. The Internet of Things system includes a smart gas device management platform, a smart gas sensor network platform, and a smart gas object platform interacting in sequence. The method is executed by the smart gas device management platform, comprising: obtaining user features of a downstream gas usage based on the smart gas object platform, the user features including at least a user type; obtaining operation parameters of a compressor based on the smart gas object platform, the operation parameters including at least a rated outlet pressure set by the compressor; and determining a rated outlet pressure adjustment amount of the compressor based on the user features and the operation parameters.

First scanned images of the first container are received from a scanning device that show the contents of the interior of the first container before the first container is cut and opened. Second scanned images that are of the contents of the first container after the first container is cut and opened are also received. The images are analyzed and, based upon the analysis, selective modifications to the operating parameters of the container opening machine are determined and made.

First scanned images of the first container are received from a scanning device that show the contents of the interior of the first container before the first container is cut and opened. Second scanned images that are of the contents of the first container after the first container is cut and opened are also received. The images are analyzed and, based upon the analysis, selective modifications to the operating parameters of the container opening machine are determined and made.