Data relating to an amount of contaminant in a fluid is obtained from a contaminant detection device. Aeration detection raw voltage data output and particle detection raw voltage data output from the contaminate detection device are received at an external data processing system separate and independent from the contaminate detection device. The aeration detection raw voltage data output and particle detection raw voltage data output are analyzed and cleaned to determine real time information on the amount of air bubbles and solid contaminate particles in the fluid, and then supplied to an onboard monitoring and controlling module of a machine for controlling one or more operations onboard the machine based on the determined amount of solid contaminate particles.

A diagnosis unit (1) for detection, analysis, and data management of sensor data detected on an actuator (20), has at least one sensor (14, 15), a data processing unit (10), a data manager (11), and an interface unit (12). The at least one sensor (14, 15), the interface unit (12), and the data manager (11) are respectively, connected to the data processing unit (10), enabling data exchange. The diagnosis unit (1) is built into a module with the actuator (20).

A diagnosis unit (1) for detection, analysis, and data management of sensor data detected on an actuator (20), has at least one sensor (14, 15), a data processing unit (10), a data manager (11), and an interface unit (12). The at least one sensor (14, 15), the interface unit (12), and the data manager (11) are respectively, connected to the data processing unit (10), enabling data exchange. The diagnosis unit (1) is built into a module with the actuator (20).

An agricultural product application implement includes a system and method for indicating an amount of fluid stored. A pressure transducer installed at the sump of a fluid tank electronically measures and displays a fluid depth. Instrumentation, such as an instrument cluster unit for the implement, is programmed via software to convert the voltage output of the pressure transducer to a volume measurement displayed in the operator's line of sight. Software within the instrument cluster unit for self-calibrating accounts for varying densities of different chemical solutions. The pressure transducer is used in conjunction with a transfer medium to prevent corrosive chemical solutions from contacting the pressure transducer.

An agricultural product application implement includes a system and method for indicating an amount of fluid stored. A pressure transducer installed at the sump of a fluid tank electronically measures and displays a fluid depth. Instrumentation, such as an instrument cluster unit for the implement, is programmed via software to convert the voltage output of the pressure transducer to a volume measurement displayed in the operator's line of sight. Software within the instrument cluster unit for self-calibrating accounts for varying densities of different chemical solutions. The pressure transducer is used in conjunction with a transfer medium to prevent corrosive chemical solutions from contacting the pressure transducer.

To diagnose an abnormality of a fluid control device from an operation of an entire fluid supply line including a plurality of fluid control devices. Provided is an abnormality diagnosis method of a fluid supply line including a plurality of fluid control devices F, V1, and V2 communicating with each other fluid-tightly. The abnormality diagnosis method has: a valve operation step of opening/closing any one or more of a valve FV in a flow rate control device, a valve V1, and a valve V2; a pressure adjustment step of setting a part or all of flow passages R1 and R2 leading from the valve V1 to the valve V2 via the flow rate control device to a vacuum state or a pressurization state; a pressure detection step of acquiring temporal pressure characteristics in a flow passage of the flow rate control device F by pressure detection mechanisms P1 and P2; and an abnormality determination step of comparing pressure characteristics at the time of abnormality diagnosis acquired by the pressure detection mechanisms P1 and P2 and pressure characteristics at the time of normality measured in advance under the same conditions, and determining whether or not there is an abnormality.

In one embodiment, a multi-purpose sensor may couple to a machine operating in an industrial environment and include numerous sensors disposed within the multi-purpose sensor to acquire sets of data associated with the machine or an environment surrounding the machine. A first portion of the sets of data may include historical sensor measurements over time for each of the sensors, and a second portion of the sets of data may include sensor measurements subsequent to when the first portion is acquired for each of the sensors. A processor of the multi-purpose sensor may determine a baseline collective signature based on the first portion, determine a subsequent collective signature based on the second portion, determine whether the collective signatures vary, and generate signals when a variance exists. The signals may cause a computing device, a cloud-based computing system, and/or a control/monitoring device to perform various actions.

In one embodiment, a multi-purpose sensor may couple to a machine operating in an industrial environment and include numerous sensors disposed within the multi-purpose sensor to acquire sets of data associated with the machine or an environment surrounding the machine. A first portion of the sets of data may include historical sensor measurements over time for each of the sensors, and a second portion of the sets of data may include sensor measurements subsequent to when the first portion is acquired for each of the sensors. A processor of the multi-purpose sensor may determine a baseline collective signature based on the first portion, determine a subsequent collective signature based on the second portion, determine whether the collective signatures vary, and generate signals when a variance exists. The signals may cause a computing device, a cloud-based computing system, and/or a control/monitoring device to perform various actions.

An inspection station for manufactured components includes a framework and a plurality of cameras. The framework has of a plurality of vertically stacked and spaced apart plates. Each plate defines a central orifice. The central orifices of each plate are aligned along an axis. The manufactured components are configured to freefall through the central orifices defined by the plates. The plurality of cameras is secured to the framework. Each camera is focused toward a region within the framework to capture images of the manufactured components. The plurality of cameras is arranged in an array that extends radially about the axis. At least one of the cameras is positioned at an angle above a horizontal plane that is perpendicular to the axis and intersects the region within the framework. At least one of the cameras is positioned at an angle below the horizontal plane.

An information processing apparatus according to an embodiment includes: a registration processing unit configured to register, in a storage device, a work node made up of basic blocks, corresponding to respective processes, connected to each other by a link, the work node including a first node indicating a device/tool used by a worker for performing their work, a second node indicating the worker, a third node indicating a process that is a unit of the work activity, and a fourth node indicating a work target object of the worker in the process; and an analysis processing unit configured to execute analysis processing of analyzing at least one of a history of a work activity performed by a predetermined worker, a history of a work activity performed on a predetermined work target object, and a history indicating a worker and a work target object related to a predetermined work, based on the work node registered in the storage device by the registration processing unit.