An interactive software application on a mobile computing device is used to configure an electronic torque wrench via a wireless connection. The software application obtains torque specifications for a vehicle from a remote database. When the torque specification require that work pieces be torqued in an ordered sequence, the software application guides the technician through the sequence, but accommodates changes when the technician departs from the sequence.

The present disclosure provides a work machine management system that can predict the maintenance timing of a work machine with higher accuracy than conventional techniques. A work machine management system 100 of the present disclosure includes an input/output unit 121 and a processing unit 122. The input/output unit 121 receives from work machines 200 positional information PI and operation information OI on the work machines 200, and also receives from a geographical information system server 300 geological information GI on an area where the work machines 200 are to perform an operation, based on the positional information PI. The processing unit 122 predicts the maintenance timing of each work machine 200 based on the operation information OI and the geological information GI. In response to a request from an external portable terminal 130, the input/output unit 121 outputs to the portable terminal 130 data on an alert based on the maintenance timing of the work machine 200 predicted by the processing unit 122.

In industrial machine abnormality diagnosis, if the machine is diagnosed to have abnormality, then sensor data from the machine needs to be sent to a management center for causal analysis. However, since machines operated at a remote site cannot always communicate with a management center, it has been found that, in some cases, sensor data that has failed to be sent from a machine remains in the memory of the machine, resulting in lack of available memory capacity. In view of this, the present invention determines beforehand whether the diagnosed machine will run out of available memory capacity before the completion of sending the amount of sensor data required for causal analysis for the machine, and instructs a maintenance person to recover memory. This determination as to whether the machine will run out of available memory capacity before the completion of sending the amount of sensor data required for the causal analysis for the machine, is made as follows: (1) first, the machine predicts the run-out date on which the machine will run out of memory capacity for storing sensor data generated in the machine, and sends a notification of the predicted run-out date to the management center for the machine; and (2) next, from the amount of sensor data required for the causal analysis and the reception rate of sensor data, the management center calculates the number of days required to retrieve the necessary data for the causal analysis and determines whether the management center can retrieve the data by the predicted run-out date.

In one example, a system and method for correlating first well log data with a previously generated well with second well log data from an actively drilling well. A identifying a starting depth is identified above a geological formation. The first well log data is dynamically gain adjusted to the second well log data. The gain adjusted first well log data is dynamically depth warped to the second well log data to correlate the first well log data with the second well log data.

A mineral processing system featuring a controller having a signal processor or processing module configured to: receive signaling containing information about a relationship between multiple particle size measurements of different measured particles having different measured particle sizes flowing in a hydrocyclone classifier overflow stream sensed by at least one particle size measurement device arranged on a hydrocyclone classifier overflow pipe of at least one hydrocyclone in a hydrocyclone battery, and about a floatable fraction that defines a particle size range of different floatable particle sizes of different floatable particles that can be recovered by the at least one hydrocyclone in the hydrocyclone battery; and determine corresponding signaling containing information to control a ground product size of ore having ground particles provided to the at least one hydrocyclone in the hydrocyclone battery, based upon the signaling received.

In a method of processing data of a construction machine, a configuration file may be generated from master data of the construction machine stored in a server. The configuration file may be transmitted to the construction machine to share the configuration file between the server and the construction machine. New data of the construction machine may be selectively collected using the configuration file. The collected data may be transmitted to the server. Thus, the server and the data processor may share the configuration file generated from the master data of the construction machine with each other so that one kind of the data-collecting unit and the software may be commonly applied to all of the construction machines.

A control system is provided with a position detection device which detects a position of a work machine, a contactless sensor which detects an object around the work machine in a contactless manner, a position calculation unit which calculates a position of the work machine on the basis of at least map data indicating a position of the object and detection data of the contactless sensor, and a diagnosis unit which compares the position of the work machine derived from detection data of the position detection device and the position of the work machine calculated by the position calculation unit and diagnoses that there is an abnormality in either the detection data of the position detection device or a calculation result of the position calculation unit.

A system and method for monitoring underground drilling in which vibration is monitored by creating a model of the drill string using finite element techniques or finite difference techniques and (i) predicting vibration by inputting real time values of operating parameters into the model, and then adjusting the model to agree with measured vibration data, (ii) predicting the weight on bit and drill string and mud motor speeds at which resonance will occur, as well as when stick-slip will occur, so that the operator can avoid operating regimes that will result in high vibration, (iii) determining vibration and torque levels along the length of the drill string based on the measured vibration and torque at one or more locations, (iv) determining the remaining life of critical components of the drill string based on the history of the vibration to which the components have been subjected, and (v) determining the optimum drilling parameters that will avoid excessive vibration of the drill string.

A system and method for monitoring underground drilling in which vibration is monitored by creating a model of the drill string using finite element techniques or finite difference techniques and (i) predicting vibration by inputting real time values of operating parameters into the model, and then adjusting the model to agree with measured vibration data, (ii) predicting the weight on bit and drill string and mud motor speeds at which resonance will occur, as well as when stick-slip will occur, so that the operator can avoid operating regimes that will result in high vibration, (iii) determining vibration and torque levels along the length of the drill string based on the measured vibration and torque at one or more locations, (iv) determining the remaining life of critical components of the drill string based on the history of the vibration to which the components have been subjected, and (v) determining the optimum drilling parameters that will avoid excessive vibration of the drill string.

An industrial machine that includes a plurality of components, an identification tag reader, an actuator, and a controller. The plurality of components is installed in the industrial machine and each of the plurality of components includes an identification tag. The identification tag reader is receives a signal from each of the plurality of identification tags, and each signal received from the plurality of identification tags is specific to a respective one of the plurality of components. The controller identifies the plurality of components that is installed in the industrial machine based on the signals from each of the plurality of identification tags, compares the identified plurality of components to a predetermined list of components that are expected to be installed in the industrial machine, and modifies an operational setting of an operating parameter when the identified plurality of components does not match the predetermined list of components.