Machine 102 may include a plurality of tires 104 to enable machine 102 to move about. As shown in
Referring now to
A ground speed monitor 304 may be used to determine the speed of machine 102 as the machine travels. In one embodiment, ground speed monitor 304 may detect the output speed of a transmission on machine 102. However, the ground speed can be measured at other locations on machine 102, e.g., wheels, driveshaft, etc.
Payload monitor 302 and ground speed monitor 304 may each generate respective payload and ground speed signals, which may be provided to a control system 306. The control system 306 may include a processor 308, such as a microprocessor, and a database 310. The database 310 may be configured to store and retrieve data by the processor 308.
The control system 306 may be configured to deliver ton-miles-per-hour values to a tons-miles-per-hour (TMPH) indicator 312 located on machine 102. The TMPH indicator 312 may display a value of tons-miles-per-hour to an operator. Alternatively, the TMPH indicator 312 may be located at a remote site. Values of tons-miles-per-hour may be transmitted through a medium such as, for example, an RF link (not shown). The TMPH indicator 312 may include any of a type of suitable display means, including graphic, numeric, warning light, etc.
Referring to
In a second control block 404, the ground speed of machine 102 may be determined. Control then proceeds to a third control block 406, where compensation is performed for uneven load distributions on the tires 104. For example, in certain machine environments and/or applications load hauling machines may not necessarily be configured to uniformly distribute loads during machine operation. For example, an off road mining truck may be designed to carry 60% of a load over the rear tires and the remaining 40% of the load over the front tires to achieve stability during transport.
In a fourth control block 408, the processor 308 in the control system 306 may determine the ton-miles-per-hour for each tire 104 as a function of the load distribution and the ground speed. The ton-miles-per-hour may be determined using a variety of methods, which are described in detail below.
In one embodiment, the ton-miles-per-hour for the front tires of 206, 208 and the ton-miles-per-hour for the rear tires 210, 212 may be calculated by multiplying the load by the ground speed by respective front and rear load distribution ratios. For the 60%/40% ratios described above, the following equations may be used:
TMPHREAR=(EVW+PAYLOAD)·GROUND SPEED·0.6 (Eq. 1)
TMPHFRONT=(EVW+PAYLOAD)·GROUND SPEED·0.4 (Eq. 2)
where EVW is the empty vehicle weight of machine 102.
In another embodiment, the front and rear weight distribution ratios may be different for no load conditions than for full load conditions. The difference compensates for conditions where adding a load causes the distribution of the weight on the tires 104 to change. For example, the load distribution for an empty off road mining truck may be 50% over the rear tires and 50% over the front tires. However, when a load is added, the load distribution may change to 67% over the rear tires and 33% over the front tires. Since an off road mining truck will travel as much empty as loaded, the change in load distribution will have a substantial effect on ton-miles-per-hour calculations.
The equations for the second embodiment are:
TMPHREAR=(EVW+PAYLOAD)·GROUND SPEED·KREAR (Eq. 3)
TMPHFRONT=(EVW+PAYLOAD)·GROUND SPEED·KFRONT (Eq. 4)
where, using the above example, KREAR is 0.5 empty and 0.67 loaded, and KFRONT is 0.5 empty and 0.33 loaded.
Another exemplary embodiment of the present disclosure is illustrated in flowchart 500 of
PAYLOAD=0=kf(LFEMPTY+RFEMPTY)+kr(LREMPTY+RREMPTY) (Eq. 5)
where kf and kr are front and rear strut pressure to payload conversion constants, respectively.
The payload when a load is added may then be determined using the following equation:
PAYLOAD=0=kf(ΔLF+ΔRF)+kr(ΔLR+ΔRR)+K (Eq. 6)
where the symbol Δ indicates that the strut pressures LF, RF, LR, and RR are the changes in strut pressures from no load.
In a second control block 504, a set of pressure signals may be generated by payload monitor 302 in response to the pressure created by a load added to machine 102. The pressure signals may be delivered to the control system 306 where, in a third control block 506, the pressure signals may be filtered using standard signal filtering techniques to remove noise, spikes, and the like. The signal components that are filtered may be caused by noise common to electronic signal generators, and may also be the result of pressure fluctuations in payload monitor 302 caused by bumps and holes on a road surface as machine 102 travels over the road.
The filtered pressure signals may then used to determine the distribution of the payload on machine 102, using any suitable distribution formula, such as one of the distribution embodiments described above. For example, the payload at each of the tires 104 for the front and rear tires on machine 102 may be determined by:
where 0.33 and 0.67 are exemplary ratios of load distribution from front to rear of the machine. The terms ΔXXFILTERED may account for changes in load distribution as machine 102 travels due to bumps, potholes, and the slopes of grades.
The ton-miles-per-hour for the front and rear tires can then be determined by:
TMPHFRONT=(EVW+PAYLOADFRONT)·GROUND SPEED (Eq. 9)
and
TMPHREAR=(EVW+PAYLOADREAR)·GROUND SPEED (Eq. 10)
In yet another embodiment, the ton-miles-per-hour may be determined for each tire by factoring in load distributions for left and right tires, in addition to the load distributions for front and rear sets of tires. Exemplary equations for ton-miles-per-hour are:
If there are more than two tires on the front or rear, e.g., the rear tires 210, 212 may have two tires per side, the appropriate equation may be divided by the number of tires on each side.
According to another embodiment, the calibration constant K in Equation 5 may be determined for each of the sets of tires on machine 102, i.e., left front, right front, left rear, and right rear. This method would result in four calibration equations with four calibration constants as shown by:
0=(kf·LFEMPTY)+KLF (Eq. 15)
0=(kf·RFEMPTY)+KRF (Eq. 16)
0=(kr·LREMPTY)+KLR (Eq. 17)
0=(kr·RREMPTY)+KRR (Eq. 18)
Payload may then be determined by:
PAYLOAD=kf(ΔLF+ΔRF)+kr(ΔLR+ΔRR)+(KLF+KRF+KLR+KRR) (Eq. 19)
The ton-miles-per-hour values for each tire may then be determined by:
It is to be understood that the embodiments described above are exemplary methods for compensating the payload on a machine 102 for uneven load distribution. It is contemplated that any appropriate method for compensating the payload on a machine may be used, without departing from the scope of the present disclosure. For example, the ton-miles-per-hour may, additionally, be based on a steering angle associated with the one or more of the tires of the machine to compensate for heat generated by stress caused by friction generated by steering the machine.
Referring again to
The calculations stored in the database 310 may be used to determine trends or patterns of tire wear based on excessive values of ton-miles-per-hour. Tire wear may be attributed to driver performance or road conditions. An example of an evaluation of ton-miles-per-hour is illustrated in the scatter plot shown in
In a first decision block 414, the calculated values of ton-miles-per-hour may be monitored to determine if a predetermined threshold is exceeded. For example, an operator may determine that it is desired not to exceed a certain value of ton-miles-per-hour to avoid excessive wear on tires. If the value of ton-miles-per-hour exceeds the predetermined threshold, the operator may be notified in a seventh control block 416 by the TMPH indicator 312.
Control block 418 may include a predetermined delay to allow the operator to make appropriate operation adjustments to reduce the value of the ton-miles-per-hour, thereby avoiding damage to the tires and, potentially, to the machine. For example, once the operator of machine 102 has been notified that the ton-miles-per-hour exceeds a threshold level, control system 306 may initiate a timing signal that provides the driver with a predetermined time limit to respond to the notification and/or reduce the ground speed of the machine, which may reduce the ton-miles-per-hour.
During the predetermined delay, control system 306 may monitor the ton-miles-per-hour to determine if the operator has taken appropriate measure to ensure that the machine tires do not overheat. For example, in decision block 420 the updated values of ton-miles-per-hour may be compared with the predetermined threshold. If the value of ton-miles-per-hour exceeds the threshold (indicating that the operator has not sufficiently slowed the machine), a speed control signal may be provided (in control block 422) to the transmission and/or engine controller units to automatically limit the ground speed of the machine. Control system may continuously monitor the ton-miles-per-hour and provide the speed control signal as long as the ton-miles-per-hour exceeds the predetermined threshold, as indicated by the loop between control block 424 and 422. Once the ton-miles-per-hour value settles to below the predetermined threshold, the monitoring process may be resumed to provide a continuous, real-time tire temperature control system for a machine.
Although methods and systems consistent with the disclosed embodiments are described in connection with machines, they may be applicable to any environment where it may be advantageous to monitor and/or prevent excessive tire wear. Specifically, the presently disclosed method and system for preventing tire damage on a machine may monitor an operational aspect indicative of tire wear and provide the associated control signals to limit the operational aspect, thereby limiting the amount of excessive wear on the tire. As a result, in addition to monitoring tire wear, the presently disclosed systems and methods may automatically control the machine, based on the monitored data, to limit the amount of excessive tire wear and, potentially, prevent or reduce damage to the machine.
The presently disclosed methods and systems for preventing tire damage on a machine may have several advantages. For example, because the system may automatically provide control signals that limit the speed of the machine if an excessive ton-miles-per-hour value is observed, prolonged periods of excessive wear conditions may be avoided. As a result, damage to expensive machine parts, such as axels, transmissions, and other drive train components that may result from tire failure (particularly under loaded conditions) may be significantly reduced.
In addition, the disclosed systems and methods may result in significant cost savings. For instance, the presently disclosed system may be configured to monitor the tire wear (in real-time) and take preventative measures to limit excessive wear. As a result, costs associated with the replacement and repair of tires that fail prematurely due to excessive wear, as well as productivity costs associated therewith, may be reduced and/or eliminated.
It will be apparent to those skilled in the art that various modifications and variations can be made to the disclosed methods and systems for preventing excessive tire wear on a machine. Other embodiments of the present disclosure will be apparent to those skilled in the art from consideration of the specification and practice of the present disclosure. It is intended that the specification and examples be considered as exemplary only, with a true scope of the present disclosure being indicated by the following claims and their equivalent.