Abstract: A plurality of multi-parameter monitoring tool assemblies are connectable over a communications network and are further in communication with a central controller. Each of the tool assemblies is configured to interconnect with one or more sensor head components which may be employable in the monitoring of water quality. According to the system described herein, the central controller may periodically communicate with one or more of the tool assemblies connected in the communications network and extract, process, and display information as to the configuration and operation of one or more tool assemblies.

Abstract: The present invention provides a tool assembly for use in field applications to monitor at least one condition in a well or other hole. The tool assembly may include a computing unit for directing operation of the tool assembly and may be sized to be operable in a hole having a diameter of 1 inch, and in some cases even smaller. In one aspect, the tool assembly is designed to significantly conserve power. Sensor readings may be taken at different schedules to conserve power when frequent readings are not required. Also, internal electronics of the tool assembly can be operated at a low voltage. In one aspect, the tool assembly is assemblable by simple rotatable engagement of the components, with electrical interconnections being made automatically by the rotatable engagement without keying of components. In another aspect, the tool assembly is networkable with other like tool assemblies and monitorable from a central location.

Abstract: The present invention provides a tool assembly for use in field applications to monitor at least one condition in a well or other hole. The tool assembly may include a computing unit for directing operation of the tool assembly and may be sized to be operable in a hole having a diameter of 1 inch, and in some cases even smaller. In one aspect, the tool assembly is designed to significantly conserve power. Sensor readings may be taken at different schedules to conserve power when frequent readings are not required. Also, internal electronics of the tool assembly can be operated at a low voltage. In one aspect, the tool assembly is assemblable by simple rotatable engagement of the components, with electrical interconnections being made automatically by the rotatable engagement without keying of components. In another aspect, the tool assembly is networkable with other like tool assemblies and monitorable from a central location.

Abstract: A plurality of multi-parameter monitoring tool assemblies are connectable over a communications network and are further in communication with a central controller. Each of the tool assemblies is configured to interconnect with one or more sensor head components which may be employable in the monitoring of water quality. According to the system described herein, the central controller may periodically communicate with one or more of the tool assemblies connected in the communications network and extract, process, and display information as to the configuration and operation of one or more tool assemblies.

Abstract: A multi-parameter tool assembly provides for monitoring of one or more parameters, such as those relating to water quality. As part of the tool assembly, a sensor head is configured to receive and electrically interconnected with a plurality of interchangeable sensor head components. The sensor head components are specially configured to provide for the removal and insertion out of sensors through the application of a linear force. The housing for the tool assembly, which may include a plurality of layers, is further configured for simplified assembly with the sensor head and other components through the use of at least one radially compressive sealing device. The assembly is further connectable to a communications network wherein signals may be exchanged with one or more remote locations.

Abstract: A mass spectral analyzer system providing automated discovery, deconvolution and identification of mass spectrum is taught. Conventionally acquired mass data files are re-sorted from chronological to primarily ion-mass order and secondarily to chronological order within each ion-mass grouping. For each ion-mass measured, local peaks or maximums are identified through an integrator means. All local maximums are then sorted and partitioned such that a set of deconvoluted spectra is obtained such that each element of the set constitutes an identifiable compound. Compounds are then matched to reference spectra in library datafiles by conventional probabilistic matching routines.