Abstract: A learning diagnostic system for a working machine is capable of making a fault diagnosis of the working machine universally relative to various types of sensor information, and preventing a failure in the working machine by enabling a fault diagnosis even in a transient operating state that represents a transitional state between operating states. A state learning device 201 sorts inputted sensor data 101a into one under a steady operating state and one under a transient operating state, and generates, through learning, steady state data 102a and intermediate state data 103a, each including a permissible error. A state diagnostic device 202 uses the steady state data 102a to determine whether an operating state of the working machine related to the inputted sensor data is the steady operating state or the transient operating state, and make a fault determination in the steady operating state.

Abstract: A construction machine diagnosis system is provided. A diagnosis device 10 acquires diagnostic data from a diagnostic data storage device 30, extracts data characteristics from the information contained in the diagnostic data, acquires from a diagnostic knowledge storage device 20 any diagnosing techniques considered to be effective for the data characteristics, and presents to a user the diagnosing techniques along with respective degrees of effectiveness. The user uses the presented degrees of effectiveness to select a desired diagnosing technique and conduct a diagnosis. In addition, in order to make effective use of the diagnostic knowledge stored within the diagnostic knowledge storage device 20, a diagnostic knowledge generating section 107 classifies common data characteristics by elements of diagnosing techniques and stores the classified data characteristics and the elements of the diagnosing techniques, as new diagnostic knowledge.

Abstract: Provided is an abnormality detecting device for a construction machine that can estimate an abnormality occurring to a component (engine, pump, etc.) of the construction machine based on the relationship among a plurality of pieces of sensor information and thereby prevent machine failure. A correlation coefficient calculation unit 102 calculates correlation coefficients between time-series sensor values acquired by a plurality of sensors 101. A correlation coefficient comparison unit 103 compares the correlation coefficients and calculates the degree of difference between each correlation coefficient and other correlation coefficients. An abnormality judgment unit 104 judges that an abnormality has occurred to a part related to a sensor when the degree of difference calculated in regard to the sensor exceeds a preset value.

Abstract: Monitoring and diagnosing device including: a classification information storage section; frequency information storage section: a first data classifier section reading out reference classification information from the classification information storage section, comparing operational data, detected by a plurality of sensors and inputted in time sequence, with the reference classification information to classify the operational data, and then generating operational data classification information; a frequency comparator section compiling the operational data classification information, generating operational data frequency information by adding, to the operational data classification information, appearance frequency information for each classification of operational data, reading out reference frequency information from the frequency information storage section, and then generating operational data frequency comparison information by comparing operational data frequency information with the reference frequenc

Abstract: A device diagnostic apparatus (201) comprising: data judgment means (101) for, when device information (121) including operating condition information and internal state information is inputted, comparing the operating condition information of the device information with operating condition information stored in a database (111) beforehand to judge whether or not both of the operating condition information agree with each other, and then outputting judgment result information; and state diagnosis means (103) for, when the judgment result information indicates that both of the operating condition information agree with each other, comparing the internal state information in the device information with internal state information stored in the database beforehand, and then outputting the result of the comparison. This makes it possible to reduce the possibility that false judgment result will be output, and to achieve the efficiency of maintenance work.

Abstract: The invention provides an abnormal operation detection device estimating an overload operation of a hydraulic shovel on the basis of an amount of hydraulic operation. An accumulated amount of an operation amount is calculated by an accumulated amount calculating means on the basis of an operation amount of each of operation mechanisms obtained by an operation pressure detecting means, an operation fluctuation amount is calculated by a fluctuation amount calculating means, a joint angle of each of the operation mechanisms is estimated on the basis of the accumulated amount, and an overload operation is determined by using an abnormal operation determining means on the basis of the estimated joint angle and the operation fluctuation amount.

Abstract: A large hydraulic excavator permits an easy change from a machine mode corresponding to a backhoe excavator to a machine mode corresponding to a loader excavator, and vice versa. A hydraulic circuit is provided with hydraulic pumps and directional control valves, solenoid valves for controlling the hydraulic pumps and the directional control valves, and a controller for controlling the solenoid valves in accordance with operation of control lever devices and control pedal devices. The controller performs its control in a backhoe mode or loader mode selectively instructed by a mode instruction unit. Control of the solenoid valves in the backhoe mode makes the hydraulic circuit function as a backhoe hydraulic drive circuit, while control in the loader mode makes the hydraulic circuit function as a loader hydraulic drive circuit.

Abstract: Monitoring and diagnosing device including: a classification information storage section; frequency information storage section; a first data classifier section reading out reference classification information from the classification information storage section, comparing operational data, detected by a plurality of sensors and inputted in time sequence, with the reference classification information to classify the operational data, and then generating operational data classification information; a frequency comparator section compiling the operational data classification information, generating operational data frequency information by adding, to the operational data classification information, appearance frequency information for each classification of operational data, reading out reference frequency information from the frequency information storage section, and then generating operational data frequency comparison information by comparing operational data frequency information with the reference frequenc

Abstract: Provided is a system by which a loading machine (202) guides a hauling machine (201) on the weight and the position of materials loaded on the hauling machine (202).

Abstract: Provided is a construction machine diagnosing system and method in which even a user who has little knowledge of any procedures and techniques for diagnosing construction machines can speedily diagnose a desired machine in a manner appropriate for particular data characteristics of the machine. A diagnosis device 10 acquires diagnostic data from a diagnostic data storage device 30, extracts data characteristics from the information contained in the diagnostic data, acquires from a diagnostic knowledge storage device 20 any diagnosing techniques considered to be effective for the data characteristics, and presents to a user the diagnosing techniques along with respective degrees of effectiveness. The user uses the presented degrees of effectiveness to select a desired diagnosing technique and conduct a diagnosis.

Abstract: Provided is an abnormality detecting device for a construction machine that can estimate an abnormality occurring to a component (engine, pump, etc.) of the construction machine based on the relationship among a plurality of pieces of sensor information and thereby prevent machine failure. A correlation coefficient calculation unit 102 calculates correlation coefficients between time-series sensor values acquired by a plurality of sensors 101. A correlation coefficient comparison unit 103 compares the correlation coefficients and calculates the degree of difference between each correlation coefficient and other correlation coefficients. An abnormality judgment unit 104 judges that an abnormality has occurred to a part related to a sensor when the degree of difference calculated in regard to the sensor exceeds a preset value.

Abstract: A learning diagnostic system for a working machine is capable of making a fault diagnosis of the working machine universally relative to various types of sensor information, and preventing a failure in the working machine by enabling a fault diagnosis even in a transient operating state that represents a transitional state between operating states. A state learning device 201 sorts inputted sensor data 101a into one under a steady operating state and one under a transient operating state, and generates, through learning, steady state data 102a and intermediate state data 103a, each including a permissible error. A state diagnostic device 202 uses the steady state data 102a to determine whether an operating state of the working machine related to the inputted sensor data is the steady operating state or the transient operating state, and make a fault determination in the steady operating state.

Abstract: An information supply apparatus for a construction machine is adapted to enhance alarm/trouble cause checking accuracy. A user-side personal computer 4 or other apparatus, remote from a hydraulic excavator 1, acquires chronological data relating to alarm/trouble occurrence information on the hydraulic excavator 1, chronological data relating to engine on/off and engine key switch on/off information, and chronological data relating to operational-state physical quantities.

Abstract: The present invention provides a maintenance history information management system for a construction machine that is capable of enhancing the reliability of temporal information about maintenance history data. A data recording device 30 is incorporated in a hydraulic excavator 1 or other construction machine to process operating time or date and time. A mobile terminal 34 includes a CPU 36 for displaying construction machine maintenance items on a monitor 38. A worker can input data for the maintenance items as the maintenance history data. The mobile terminal 34 inputs the operating time or date and time from the data recording device 30 via a communication cable and a communication connector and stores the input operating time or date and time in a storage device 35 in association with the maintenance history data.

Abstract: The invention provides an abnormal operation detection device estimating an overload operation of a hydraulic shovel on the basis of an amount of hydraulic operation. An accumulated amount of an operation amount is calculated by an accumulated amount calculating means on the basis of an operation amount of each of operation mechanisms obtained by an operation pressure detecting means, an operation fluctuation amount is calculated by a fluctuation amount calculating means, a joint angle of each of the operation mechanisms is estimated on the basis of the accumulated amount, and an overload operation is determined by using an abnormal operation determining means on the basis of the estimated joint angle and the operation fluctuation amount.

Abstract: [Problem] To provide a large hydraulic excavator permitting an easy change from a machine mode corresponding to a backhoe excavator to a machine mode corresponding to a loader excavator, and vice versa. [MEANS for Solving the Problem] Arranged are a hydraulic circuit 1 provided with hydraulic pumps 11-18 and directional control valves 21-35, solenoid valves 41-43, 51-66 for controlling hydraulic pumps 11-18 and the directional control valves 21-35, and a controller 70 for controlling the solenoid valves 41-43, 51-66 in accordance with operation of control lever devices 80-83 and control pedal devices 84-87. The controller 70 performs control of the solenoid valves 41-43, 51-66 in a backhoe mode or loader mode selectively instructed by a mode instruction means 71.

Abstract: A diagnostic information display system for a construction machine includes a sensor for detecting status variables related to an operating state of a hydraulic excavator or ambient environment, and a controller which stores combinations between a plurality of snapshot items and one or more status variables related to each of the snapshot items in advance, acquires or extracts status variable data, which is regarded as being related based on the stored combinations, from corresponding detected signals of the sensor 40, etc. with respect to the snapshot item selected by a selection command from an operator, thereby displaying the status variable data on a display unit, and compares each of the status variables or a value computed based on a plurality of status variables with a predetermined reference value range. A failure of a corresponding part or the related status variable is displayed on the display unit.

Abstract: A device diagnostic apparatus (201) comprising: data judgment means (101) for, when device information (121) including operating condition information and internal state information is inputted, comparing the operating condition information of the device information with operating condition information stored in a database (111) beforehand to judge whether or not both of the operating condition information agree with each other, and then outputting judgment result information; and state diagnosis means (103) for, when the judgment result information indicates that both of the operating condition information agree with each other, comparing the internal state information in the device information with internal state information stored in the database beforehand, and then outputting the result of the comparison. This makes it possible to reduce the possibility that false judgment result will be output, and to achieve the efficiency of maintenance work.

Abstract: The present invention provides a maintenance history information management system for a construction machine that is capable of enhancing the reliability of temporal information about maintenance history data. A data recording device 30 is incorporated in a hydraulic excavator 1 or other construction machine to process operating time or date and time. A mobile terminal 34 includes a CPU 36 for displaying construction machine maintenance items on a monitor 38. A worker can input data for the maintenance items as the maintenance history data. The mobile terminal 34 inputs the operating time or date and time from the data recording device 30 via first a communication cable and a communication connector and stores the input operating time or date and time in a storage device 35 in association with the maintenance history data.

Abstract: A data recording unit 60 for managing operating situations of a hydraulic excavator 1 comprises a RAM 67 for taking in and storing plural kinds of operational information regarding the hydraulic excavator 1 as operational data, and a CPU 65 for extracting top priority operational data from among the plural kinds of operational data stored in the RAM 67, and transmitting the extracted data to the supervising side via satellite communication. Top priority data among the plural kinds of operational data of the hydraulic excavator, which may bring the hydraulic excavator into rest, can be presented to a supervisor of the hydraulic excavator, etc.