JP4733417B2 - Performance adjustment device and performance adjustment method for work machine - Google Patents

Description

  The present invention relates to an apparatus and method for automatically adjusting the performance of work machines such as construction machines and work vehicles.

  The work machine is composed of a number of components or parts such as an engine, a hydraulic pump, a transmission, and a suspension. Patent Document 1 discloses a parts information management system in which specifications of a large number of parts in a mobile machine such as a construction machine are automatically grasped and managed by a remote computer. In this part information management system, an IC chip is attached to each of a large number of parts in a construction machine, and part information indicating a part number and a part name of each part is stored in each IC chip and read out from those IC chips. The part information thus transmitted is transmitted from the construction machine to a remote computer by satellite communication, stored in a database of the computer, and can be referred to when desired.

Japanese Patent Laid-Open No. 2004-62675

  The overall performance of the work machine depends on the performance of each of a number of components. Even with the same type of components, performance varies from individual to individual. For this reason, the overall performance of work machines also varies from one solid to another. One ideal is that there is no variation in performance between individuals, and that each individual has the desired performance.

  Moreover, even if it is the working machine of the same model, the performance requested | required from a user may differ for every individual | organism | solid. For example, a machine sold to a certain user is desired to be able to produce a large horsepower, while a machine of the same model sold to another user may desire low fuel consumption.

  Accordingly, an object of the present invention is to make it possible to adjust the performance of the work machine to a desired one according to the performance of a plurality of components of the work machine.

  Another object of the present invention is to make it possible to customize performance for each individual work machine.

  Another object of the present invention is to make it possible to adjust the performance of the work machine to the intended one even when the components of the work machine are replaced.

  A performance adjustment device for a work machine according to one aspect of the present invention is mounted on a work machine having a plurality of components, and a plurality of types of control setting values respectively associated with a plurality of types of performance items possessed by individual performances of the plurality of components. Using the control means for controlling the operation of the plurality of components and the actual performance data indicating the actual performance in the plurality of types of performance items of the plurality of components. First optimization means for selecting a control setting value to be corrected from a plurality of related control setting values and correcting the selected control setting value. The first optimization means selects and corrects the control setting value to be corrected from the plurality of types of control setting values related to the plurality of types of performance items according to the actual performance of the plurality of components. . Thereafter, the control means controls the operation of the plurality of components using the corrected control setting value. Variations in the actual performance of the plurality of components vary, and the characteristics of the plurality of performance items that the component has vary depending on the individual component. However, even if so, according to the performance adjustment device of the present invention, the control setting value to be corrected is selected from a plurality of types of control setting values according to various variations in the actual performance of the component. Since it can be corrected, it can be regulated so that any work machine can achieve the desired performance. In other words, the overall performance of the work machine can be concentrated in a distribution range narrower than the distribution range of the performance of the component.

  In a preferred embodiment, the first optimization means is mounted on the work machine. Therefore, the above correction process can be performed inside the work machine. Therefore, not only the performance adjustment is possible in the manufacturing process of the work machine, but the same performance adjustment can be performed when the component is exchanged for repair or maintenance at a location outside the factory.

  In a preferred embodiment, the first optimization means has desired performance data indicating desired performance in a plurality of types of performance items of a plurality of components, compares the actual performance data with the desired performance data, and produces a comparison result. The control set value to be corrected is selected on the basis of this. Thereby, the performance of any work machine can be regulated to the desired performance indicated by the desired performance data.

  In a preferred embodiment, the first optimization means inputs performance test data indicating the results of performance tests for each of the plurality of components, analyzes the input performance test data, and creates actual performance data. It is like that. Therefore, in the component manufacturing process, it is only necessary to prepare component performance test data, and it is not necessary to analyze the performance test data and prepare actual performance data. In addition, it is easy to cope with the case where the analysis method for generating actual performance data from the performance test data is improved, or when the analysis method is changed for each type of work machine.

  In a preferred embodiment, a memory attached to each of the plurality of components stores performance test data of each component, and the first optimization means reads the performance test data from these memories. ing. In another preferred embodiment, a server installed outside the work machine stores performance test data of a plurality of components, and the first optimization means performs performance of the plurality of components from the server. Test data is read.

  In addition to the above configuration, the performance adjustment device of the present invention acquires special requests for a plurality of types of performance items possessed by individual performances of a plurality of components, and selects a control setting value to be corrected based on the special requests. Second optimization means for correcting the selected control set value can be further provided. With this second optimization means, the performance of the work machine can be customized so as to satisfy the special requirement.

  In a preferred embodiment, the second optimization means inputs a special request for the total performance of the work machine, and based on the input special request for the total performance, a plurality of types of performance possessed by the individual performance of the plurality of components. Create special requirements for items. Therefore, when inputting a special request from the outside, it is only necessary to input a rough request for the overall performance of the work machine, not a request for detailed performance items for each component. Performance customization is performed.

  The work machine according to the second aspect of the present invention uses a plurality of components and a plurality of types of control setting values respectively associated with a plurality of types of performance items possessed by individual performances of the plurality of components. The control means for controlling the operation of the system and the actual performance data indicating the actual performance in the multiple types of performance items of the multiple components are acquired, and the multiple types of control related to the multiple types of performance items are obtained based on the actual performance data A first optimization unit that selects a control setting value to be corrected from the setting values and corrects the selected control setting value; There are various variations in the actual performance of the components incorporated into each work machine, and any work machine can regulate its performance to a desired one.

  A performance adjustment method for a work machine according to a third aspect of the present invention includes a plurality of types of control settings that relate operations of a plurality of components in the work machine to a plurality of types of performance items of individual performances of the plurality of components, respectively. A step of controlling using values, a step of acquiring actual performance data indicating actual performance in a plurality of types of performance items of the plurality of components, and a plurality of items related to the plurality of types of performance items based on the actual performance data Selecting a control setting value to be corrected from among the types of control setting values, and correcting the selected control setting value.

  ADVANTAGE OF THE INVENTION According to this invention, according to the performance of the some component of a working machine, the performance of a working machine can be adjusted to the intended thing.

  Moreover, according to the structure provided with the 2nd optimization means according to this invention, performance can be customized for every individual | work machine.

  Further, according to the configuration in which the first optimization means according to the present invention is mounted on the work machine, the performance of the work machine can be adjusted to the intended one even when the components of the work machine are replaced.

  FIG. 1 shows the overall structure of a performance adjusting device for a work machine according to the present invention. In this embodiment, a construction vehicle such as a bulldozer or a power shovel is taken as an example of a work machine.

  In FIG. 1, a construction vehicle 40 is assembled at a vehicle manufacturing factory 10. The construction vehicle 40 includes a large number of various components such as a hydraulic pump 22, an engine 24, a transmission 26, a suspension 28, a controller 30, various operation valves of a hydraulic circuit (not shown), and other parts. Here, the controller 30 controls the overall operations and functions of the construction vehicle 40 by controlling the operations and functions of predetermined components such as the hydraulic pump 22, the engine 24, the transmission 26, and the suspension 28 described above. A computer, an electronic circuit, or a combination thereof. As will be described in detail later, the controller 30 is also configured in accordance with the principles of the present invention so that the overall performance of the construction vehicle 40 is as desired according to the performance of each of the components in the construction vehicle 40. It has a function to adjust the control method of a predetermined component.

  The various types of components described above are manufactured at each type of component manufacturing plant. For example, the hydraulic pump 22 is the pump manufacturing factory 12, the engine 24 is the engine manufacturing factory 14, the transmission 26 is the transmission manufacturing factory 16, the suspension 28 is the suspension manufacturing factory 18, and the controller 20 is the controller manufacturing factory 20. Manufactured by. These components are collected in the vehicle manufacturing plant 10 where they are assembled into the construction vehicle 40.

  Among the many components of the construction vehicle 40, there are a plurality of types of components whose operation or function is controlled by the controller 30 and whose performance is to be grasped by the controller 30. Hereinafter, such a selected component is referred to as a “main component”. What should be specifically selected as the main component may be determined according to the model or design of the construction vehicle 40 and is not strictly limited, but the degree to which the performance of the component affects the overall performance of the construction vehicle 40 It is desirable that it is an important component that is high to a certain extent and that variation in performance among individuals cannot be ignored. In this embodiment, at least the hydraulic pump 22, the engine 24, the transmission 26, the suspension 28, and the main operation valves of the hydraulic circuit (not shown) are selected as main components.

  Associated with each of the main components 22, 24, 26, 28 is a memory 22A, 24B, 26C, 28D. The memories 22A, 24B, 26C, and 28D are typically non-volatile semiconductor IC memories such as EEPROM chips. However, the memories 22A, 24B, 26C, and 28D do not necessarily have to be such as magnetic recording media and two-dimensional barcode printed matter. The storage data may be any machine-readable recording medium. The memories 22A, 24B, 26C, 28D may be attached to or separated from the corresponding main components 22, 24, 26, 28, but in any case, the corresponding main components 22, 24, 26, 28 and is built into the construction vehicle 40, and is connected to the controller 30 so that the recorded data can be automatically read by the controller 30.

  In each of the memories 22A, 24B, 26C, and 28D, data representing individual performances of the main components 22, 24, 26, and 28 to which the memories 22A, 24B, 26C, and 28D are attached is recorded. In the present embodiment, data of a test result obtained by a performance test performed on each component (hereinafter referred to as performance test data) is recorded as data representing individual performance. Usually, in each component manufacturing plant 12, 14, 16, 18, performance tests of the respective main components 22, 24, 26, 28 are performed, and the resulting performance test data is stored in the respective memories 22A, 24B, 26C. , 28D.

  FIG. 2 shows a specific example of performance test data.

  The example shown in FIG. 2 is an example of performance test data of the hydraulic pump 22. In the performance test of the hydraulic pump 22, a plurality of prescribed test target characteristics tests are performed in a predetermined order, and each characteristic test is performed under a predetermined test condition. As shown in FIG. 2, this performance test includes, as test conditions 100, inputs to the pump 22, such as rotational speed, discharge pressure, LS (load sensing) pressure, differential pressure, operation valve, GP rotation, etc. Thus, the pump 22 is driven while changing in a predetermined pattern. At each time point during the test, the above-described various input values as the test condition 100 and the output value from the pump 22 as the test result 110, for example, the flow rate of the discharged oil are measured. As a result, data indicating the test condition 100 and the test result 110 as shown in FIG. 2 is obtained. Both the obtained test condition 100 and test result 110 data are recorded in the memory 22A of the hydraulic pump 22 as performance test data. Alternatively, when the test condition 100 is known and the controller 30 of the construction vehicle 40 can accurately grasp the performance of the pump 22 from only the data of the test result 110, or the controller 30 When 100 data can be acquired by another route (for example, from an external data server), only the data of the test result 110 may be recorded in the memory 22A of the pump 22 as performance test data.

  The example shown in FIG. 2 relates to the hydraulic pump 22, but other types of main components such as the engine 24, the transmission 26, and the suspension 28 are also concretely used as test conditions 100 and test results 110. The performance test result data having the same data structure as described above is recorded in the memories 24B, 26C, and 28D of the main components 14, 16, and 18 except that the types of physical quantities are different.

  Refer to FIG. 1 again. As described above, the controller 30 of the construction vehicle 40 is a computer, an electronic circuit, or a combination thereof for controlling the operations and functions of various components including the main components 22, 24, 26, and 28 of the construction vehicle 40. It is. When the controller 30 is incorporated in the construction vehicle 40, the controller 30 is communicably connected to various components including the main components 22, 24, 26, and 28, which are controlled objects incorporated in the same construction vehicle 40. A control command can be sent to the component to be controlled, and the performance test data of the main component 22, 24, 26, 28 is read from the memory 22A, 24B, 26C, 28D of the main component 22, 24, 26, 28. Can do.

  The controller 30 includes a processor 32 that performs various types of information processing for control, and a memory 34 that stores various types of data used in the information processing. When the controller 30 is manufactured at the controller manufacturing factory 30, the processor 32 is programmed with a setting optimization program 36 and an operation control program 38, and the memory 34 is written with standard performance data 42 and standard settings 44. It is. The setting optimization program 36 of the processor 32 is used to control various control target components including the main components 22, 24, 26, 28 according to the actual performance of the main components 22, 24, 26, 28. Is a program for optimizing the set values (for example, control functions for determining the relationship between various control inputs and outputs, various control constants used in the control functions, etc.). The operation control program 38 is a program for controlling the operations and functions of various control target components including the main components 22, 24, 26, and 28 using the control setting values optimized by the setting optimization program 36. is there.

  The standard performance data 42 in the memory 34 is data defining standard performance that the main components 22, 24, 26, and 28 should originally have. The standard setting 44 is data defining standard values of the various control setting values. If the actual performance of the main components 22, 24, 26, 28 is consistent with the standard performance defined by the standard performance data 42, the operation control program 38 will use the standard control defined by the standard setting 44. If each control target component is controlled using the set value, the construction machine 40 can exhibit the standard overall performance as expected in the design.

  When the controller 30 is incorporated in the construction vehicle 40 at the vehicle manufacturing factory 10, the setting optimization program 36 described above is stored in the memories 22 </ b> A, 24 </ b> B, 26 </ b> C of the main components 22, 24, 26, 28 in the same construction vehicle 40. The performance test data of the main components 22, 24, 26, 28 is read from 28D. The setting optimization program 36 understands the actual performance of the main components 22, 24, 26, 28 by analyzing the performance test data of the main components 22, 24, 26, 28. The setting optimization program 36 compares the actual performance of the main components 22, 24, 26, 28 with the respective standard performance defined in the standard performance data 42, thereby providing the main components 22, 24. , 26, and 28, personality data indicating how the actual performance is relatively different from the standard performance is created. The setting optimizing program 36 then sets standard control setting values for various control target components defined in the standard setting 44 based on the personality data of the main components 22, 24, 26, and 28 as predetermined optimization rules. Correct according to Here, the general optimization rule may be incorporated in the setting optimization program 36 or may be referred to by the setting optimization program 36 attached to the setting optimization program 36 in the form of a knowledge base. It may come to be. With this correction, for various control target components optimized to enable the construction vehicle 40 to exhibit the standard overall performance under the actual performance of the main components 22, 24, 26, 28. The control setting value is created. These optimized control setting values are stored in the memory 34 as general optimization settings 46.

  When the construction vehicle 40 is shipped from the vehicle manufacturing factory 10, the general optimization setting 46 described above is stored in the memory 34 of the controller 30 of the construction vehicle 40. When the construction vehicle 40 is driven in this state, the operation control program 38 uses the optimization control settings defined in the general optimization settings 46 to control the operations and functions of various control target components. . As a result, even if the actual performance of the main components 22, 24, 26, 28 deviates from the standard performance, the construction machine 40 is under the standard performance as expected in the design under the actual performance. The overall performance can be demonstrated.

  After the construction vehicle 40 is shipped from the vehicle manufacturing factory 10, the construction vehicle 40 is usually delivered to the user via a dealer. In the process, a special performance requirement 52 for the construction vehicle 40 can be input to the controller 30. Here, the special performance requirement 52 is typically a special requirement for the overall performance of the construction vehicle 40 desired by the user (for example, a machine operation feeling that requires a horsepower greater than the standard performance is harder than the standard performance). Or, it is a request for customization of total performance such as wanting to make it softer or wanting to suppress fuel consumption smaller than the standard performance). Since there is no particular restriction on the place or time at which the special performance request 52 can be input, a dealer salesperson or mechanic may input at the dealer store 50 or the user garage, or the user or mechanic may enter at the work site 60. You may enter.

  When the special performance request 52 is input to the controller 30, the configuration optimization program 36 of the controller 30 is required to satisfy the special performance request 52 in what form the above personality data of the main components 22, 24, 26, 28 are. Create personality change data that shows if it should be changed. Then, the setting optimization program 36 compares the personality data of the main components 22, 24, 26, and 28 with the personality change data to obtain a difference, and based on the difference, the predetermined optimization rule described above is obtained. Further, the setting values for various control target components defined in the general optimization setting 46 are further corrected. With this further correction, various types optimized to allow the construction vehicle 40 to exhibit overall performance that meets the special performance requirements 52 under the actual performance of the main components 22, 24, 26, 28. A control setting value for the control target component is created. These optimized control setting values are stored in the memory 34 as special optimization settings 54.

  Once the special optimization setting 54 is stored in the memory 34 of the controller 30, when the construction vehicle 40 is operated, the operation control program 38 normally has the optimization control settings defined in the special optimization setting 54. Use values to control the behavior and functions of various control target components. As a result, even if the actual performance of the main components 22, 24, 26, 28 deviates from the standard performance, the construction machine 40 exhibits an overall performance that satisfies the special performance requirement 52 under the actual performance. Will be able to.

  Further, when a certain main component is replaced at the work site 60 for maintenance or repair, the controller 30 is replaced after the newly incorporated replacement component 62 and the controller 30 are connected. By grasping the actual performance of the component 62, the general optimization and special optimization processes as already described can be performed again. Thereby, even if the actual performance of the replacement component 62 is different from the previous component, the construction vehicle 40 can continue to exhibit the same overall performance as before.

  As described above, the setting optimization program 36 of the controller 30 is used for various control target components according to the actual performance of the main components 22, 24, 26, 28, or according to the special performance request 52. By optimizing the control setpoints, the construction vehicle 40 is operated so as to achieve the desired overall performance even if the actual performance of the main components 22, 24, 26, 28 is different from the standard performance. And control the function.

  Hereinafter, the optimization process performed by the setting optimization program 36 of the controller 30 will be described in more detail.

  FIG. 3 shows the flow of processing for general optimization of control set values. FIG. 4 shows examples of various data used in the general optimization process.

  As shown in FIG. 3, in the setting optimization program 36, performance test data is read from each main component 22, 24, 26, 28 in step S <b> 1 and stored in the memory 34. In step S 2, the performance test data of each main component 22, 24, 26, 28 is analyzed to create actual performance data 120 for each main component 22, 24, 26, 28, which is stored in the memory 34. Here, the actual performance data 120 includes a plurality of predetermined performance items (for example, for the individual performances of the main components 22, 24, 26, and 28, as illustrated for the hydraulic pump 22 and the engine 24 in FIG. 4). For the pump 22, the numerical values of the actual performance at the maximum flow rate, minimum flow rate, rated horsepower, LS (load sensing) set, pump efficiency, noise frequency characteristics, vibration frequency characteristics, etc.) are shown. The standard performance data 42 recorded in advance in the memory 34 also indicates the standard performance values of the same plurality of performance items as described above for the individual performances of the main components 22, 24, 26 and 28.

  Referring to FIG. 3 again, in step S3, the actual performance data 120 and the standard performance data 42 are compared to create personality data 122, which is stored in the memory 34. Here, as illustrated in FIG. 4 with respect to the hydraulic pump 22 and the engine 24, the personality data 122 is obtained between the actual performance and the standard performance in the plurality of performance items for each of the main components 22, 24, 26, and 28. (In other words, the relative value of the actual performance with respect to the standard performance). In this embodiment, the difference between each item means that the actual performance is almost equal to the standard performance, for example, “small / low”, which means that the actual performance is smaller or lower than the standard performance. “Medium” is expressed in three levels, “Large / High”, which means that the actual performance is higher or higher than the standard performance. Accordingly, in the personality data 122, if the level of a certain performance item is “medium”, it means that the actual performance is substantially equal to the standard performance in that performance item. On the other hand, a performance item whose level is “small / low” or “large / high” means that the actual performance is deviated from the standard performance.

  Referring to FIG. 3 again, in step S4, based on the personality data 122, various control setting values defined in the standard setting 44 are corrected according to a predetermined optimization rule 126, and a general optimum setting 46 is created. , It is stored in the memory 34.

  Here, the optimization rule 126 is a performance item in which the level of the personality data 122 is “small / low” or “large / high” as illustrated in FIG. For the performance item to be corrected because the actual performance deviates from the standard performance), one or more control setting values related to it are selected from a variety of control setting values, and the selected control is selected. This rule defines how to correct the set value. According to the optimization rule 126, when the performance level is “small / low” or “large / high” for each performance item, as indicated by an arrow in the table of personality data 122 in FIG. The relevant control set value is selected and corrected so as to correct it to the “medium” level actual performance (that is, standard performance) (in other words, the standard performance is exhibited during operation). Here, each performance item is classified into either a personality correctable item marked with a circle in the table 124 in FIG. 4 or an uncorrectable personality item not marked with a circle. The personality correctable item is an item that can directly correct the actual performance of the performance item by an electrical control command output from the controller 30 to the corresponding component. On the other hand, the personality uncorrectable item is a performance item that cannot be directly corrected by an electrical control command and can only be adjusted by an indirect method.

  A specific example of the correction of the control set value according to the optimization rule 126 is as follows using the example of FIG. According to the personality data 122 of FIG. 4, the actual performance of the “rated horsepower” of the pump 22 (this is one of the items whose personality can be modified) is “large / high”. This means that the pump 22 has a rated horsepower greater than the standard. In this case, the optimization rule 126 selects a horsepower constant that is a control setting value for controlling the horsepower of the pump 22 as a control setting value to be corrected, and the horsepower constant is set to a value lower than the standard value. It is corrected. By using the horsepower constant corrected to be lower than the standard value, the operation control program 38 of the controller 30 controls the absorption horsepower of the pump 22 to be lower. As a result, the rated horsepower of the pump 22 is substantially corrected to the standard value.

  Alternatively, according to the personality data 122, the actual performance of the “responsiveness” of the pump 22 (this is one of the items whose personality can be corrected) is “small / low”. This means that the response of the pump 22 is slower than normal. In that case, according to the optimization rule 126, a response constant that is a control set value that affects the response of the pump 22 is selected as a control set value to be corrected, and the response constant is higher than the standard value. It is corrected to the value of. By using the response constant corrected to be higher than the standard value, the operation control program 38 controls the pump 22 so that the response speed of the pump 22 becomes higher. As a result, the pump 22 operates with standard responsiveness.

  Alternatively, according to the personality data 122, the actual performance of the “noise (frequency characteristics)” of the pump 22 (this is one of the items whose personality cannot be corrected) is “large / high”. This means that the noise level of the pump 22 is larger than the standard. In this case, according to the optimization rule 126, attention is paid to the matching rotational speed between the pump 22 and the engine 24, which is a characteristic that greatly affects noise, and a control constant that influences the matching rotational speed, for example, fuel injection of the engine 24. The control constant of the quantity is selected as the control set value to be corrected, and the fuel injection quantity control constant is corrected so that the matching rotational speed is lower than the standard value. By using the fuel injection control constant corrected in this way, the operation control program 38 controls the rotational speed of the pump 22 to be lower than the standard, and as a result, the noise amount of the pump 22 indirectly becomes the standard. Corrected to quantity.

  The example of the optimization rule 126 shown in FIG. 4 focuses on the character of one performance item of one main component. However, not only that, but also a rule that focuses on the relationship between actual performances of a plurality of main components that are mutually related can be included in the optimization rule 126. Examples of such rules are as follows (1) to (4).

  (1) When the absorption horsepower characteristic of the pump 22 is larger than the standard and the output horsepower characteristic of the engine 24 is larger than the standard, the horsepower characteristics of the pump 22 and the engine 24 match each other. From the viewpoint of matching between the engine 24 and the engine 24, it is not necessary to correct the control set value relating to the horsepower characteristics.

  (2) If the absorption horsepower characteristic of the pump 22 is larger than the standard, but the output horsepower characteristic of the engine 24 is smaller than the standard, there is a possibility that a failure (for example, engine stall or the like) may occur because they are not balanced. Therefore, the control set value relating to the horsepower characteristic of the pump 22 is corrected so as to correct the absorption horsepower of the pump 22 to be low.

  (3) When the responsiveness of the pump 22 is faster than the standard and the responsiveness of the operation valve is slower than the standard, the responsiveness of both is offset and the standard responsiveness is obtained. It is not necessary to change the setting value.

  (4) When the response of the pump 22 is faster than the standard and the response of the operation valve is also earlier than the standard, the entire response is early and unstable, and therefore the response of at least one of the pump 22 and the operation valve. The control set value related to responsiveness is corrected so as to reduce the responsiveness.

  Furthermore, not only based on the simple nature of whether the actual performance of each control item is higher or lower than the standard performance, but also to correct the control set value based on a more detailed nature such as the actual performance characteristic curve. Rules can also be included in the back optimization rule 126. Examples of such rules are as follows (5) and (6).

  (5) When the amount of noise or vibration of the pump 22 becomes larger than the standard only at a specific rotation speed close to the rated rotation, the pump 22 and the engine 24 are not matched at the specific rotation speed. Correct the fuel injection amount control constant.

  (6) When the fuel consumption or noise level of the engine 24 becomes particularly good or quiet at a specific speed close to the rated speed, the control constant of the absorption horsepower of the pump 22 is set so that it always operates at the specific speed. to correct.

  By the way, among the many rules included in the optimum rule 126, there may be a rule that cannot be compatible with each other. For example, a plurality of rules can be applied under certain personality data, but if one of those rules is followed, correction is made to increase the horsepower of the pump, but if another rule is followed, the pump horsepower is reduced. This is the case where such correction is performed. In order to prevent such incompatible rules from interfering with each other, the selection and priority order between rules such as which performance characteristics or which rules should be prioritized automatically or manually by the program. You may make it control previously.

  As can be seen from the above examples, the general optimum setting 46 created by the general optimization process has a function of substantially modifying the actual performance of the main components 22, 24, 26, and 28 to the standard performance. Even if the actual performance of the main components 22, 24, 26, 28 varies, the general performance setting 46 is used for operation control, so that the overall performance of any construction vehicle 40 is standard as expected in the design. Will be regulated to the correct performance.

  Next, a process for special optimization of the control set value will be described.

  FIG. 5 shows a flow of processing for special optimization of the control set value. FIG. 6 shows examples of various data used in the special optimization process.

  As shown in FIG. 5, the setting optimization program 36 receives an input of a special performance request 52 relating to the overall performance of the construction vehicle 40 in step S <b> 11 and stores the input special performance request 52 in the memory 34. Here, as illustrated in FIG. 6, the special performance requirement 52 indicates the overall performance of the construction vehicle 40, for example, a plurality of performance items such as “horsepower”, “soft / hard”, “fuel consumption”, and “noise”. In this case, the required values of multiple levels such as “low”, “medium”, and “high” for each performance item are shown. The person who determines the special performance requirement 52 is typically a user. The user selects “high” as the required value of the performance item “horsepower” if he / she wants performance capable of outputting large horsepower, and the performance item “soft / hard” when he / she wants a crisp and hard operation with good responsiveness. Select the desired requirement value for each performance item, such as selecting “High” as the required value for the performance item, and selecting “Low” as the required value for the performance item “Noise” if the noise is desired to be low. To do. The special performance request 52 to be input is composed of a set of required values for each performance item selected as described above.

  In step S 12, the special performance requirement 52 for the inputted overall performance is expanded into the special performance requirement 130 for the individual performance of the main components 22, 24, 26, 28 and stored in the memory 34. In the process of this deployment, the required value for each performance item of the overall performance is based on a predetermined relationship between the multiple performance items of the overall performance and the multiple performance items of the individual performance of each main component. It is converted into a required value for one or more performance items of the individual performance of the main component related thereto. For example, as illustrated in FIG. 6, the required value “high” for the performance item “horsepower” in the overall performance is a performance item of each main component related to the item “horsepower”, for example, “maximum flow rate” of the pump 22, Corresponding required values for “rated horsepower” and “LS set”, and “maximum horsepower” and “horsepower characteristics” of the engine 24, for example, “high” are converted. As a result of such development processing, a special performance request 130 including a set of request values for various performance items of the main components 22, 24, 26, and 28 is created.

  By the way, in the special performance request 130, there are incompatible requests. For example, in the special performance request 130 illustrated in FIG. 6, the required value “high” of the “LS set” of the pump 22 deployed from the required value “high” of “horsepower” and the required value “low” of “fuel consumption”. ”Is contradictory to the required value“ low ”of the“ LS set ”of the pump 22 developed from“ ”. In order to prevent such incompatible requests from interfering with each other, the selection or priority order between requests such as which performance item priority should be given automatically or manually in advance by a program. You may make it control.

  In step S13, based on the special performance requirement 130 for the performance of the main components 22, 24, 26, 28 created in step S12, the main components 22, 24, 26 that should be satisfied to satisfy the special performance requirement 130 , 28 personality change data 132 representing personality (that is, target personality) is created. As illustrated in FIG. 6, the personality change data 132 indicates a target level for each performance item of the main components 22, 24, 26, and 28 in the same format as the personality data 122 described above. That is, if the actual personality represented in the personality data 122 is accurately corrected to the target represented in the personality change data 132, the special performance requirement 130 can be satisfied.

  In step S14, the personality change data 132 and the personality data 122 are compared, and the personality data 122 is substantially modified into the personality change data 132 according to a predetermined optimization rule (ie, the personality indicated by the personality change data 132). In order to achieve the same performance as when the actual setting is included), various control setting values defined in the general optimization setting 45 are corrected, and the set of corrected control setting values is the special optimization setting. 54 is stored in the memory 34. The optimization rule used here may be a rule prepared exclusively for this special optimization, or an optimization rule 126 for general optimization as illustrated in FIG. 4 is used. Alternatively, a rule in which the optimization rule 126 for general optimization is arranged for another optimization may be used. Incidentally, the general optimization process is to substantially correct the personality data 122 to the target personality that the level of all performance items is “medium”, whereas the special optimization process is a personal optimization process. The personality data 122 is substantially modified to the target personality defined by the change data 132. Therefore, it is possible to adopt an optimization rule according to the same basic optimization policy for both general optimization and special optimization.

  When the operation control program 38 of the controller 30 controls various control target components using the special optimum setting 54 created as described above, the construction vehicle 40 exhibits the overall performance required by the special performance requirement 52. be able to. That is, when the special optimum setting 54 is used for operation control, the overall performance of the construction vehicle 40 is customized to satisfy the special performance requirement 52.

  FIG. 7 shows the operation of the operation control program 38 of the controller 30.

  When the operation of the construction vehicle 40 is started, the operation control program 38 determines whether to use the general optimization setting 46 or the special optimization setting 54 in step S21 of FIG. An example of this determination is as follows. That is, if the special optimization setting 54 is already recorded in the memory 34, it is usually determined that the special optimization setting 54 is used, while the special optimization setting 54 is not yet recorded or recorded. However, if the operator instructs to use the general optimization setting 46, it is determined that the general optimization setting 46 is to be used.

  If it is determined that the special optimization setting 54 is to be used, in step S22, the operation control program 38 uses the special optimization setting 54 to create control commands for various control target components and assign them to those components. Output control commands. As a result, the construction vehicle 40 operates so as to exhibit the overall performance requested by the special performance requirement 52.

  On the other hand, when it is determined that the general optimization setting 46 is used, in step S23, the operation control program 38 creates control commands for various control target components using the general optimization setting 46, and outputs those control commands. Output control commands to components. As a result, the construction vehicle 40 operates so as to exhibit the standard overall performance defined by the standard performance data 42.

  FIG. 8 shows the overall structure of a work machine performance adjustment device according to another embodiment of the present invention.

  In the embodiment already described, as shown in FIG. 1, the performance test data of the main components 22, 24, 26, 28 is recorded in the memories 22A, 24A, 26A, 28A attached to the main components 22, 24, 26, 28. Has been. On the other hand, in the embodiment shown in FIG. 8, the performance test data 230 of each main component 210 measured at each component factory 200 is sent from each component factory 200 to the data server 250 through the communication network 240 and stored there. The In each component factory 200, information for specifying the storage location of the performance test data 230 of each main component 210 (for example, a network address such as the URL of the storage location of the performance test data in the data server 250, or the A unique identification code, such as a serial number of the main component 210, etc.) 220 is written into the memory 210A attached to each main component 210 before each main component 210 is shipped. Since the amount of information written in the memory 210A is small, the memory 210A may be as simple as a two-dimensional barcode printed matter.

  Thereafter, when each component 210 is incorporated into the construction vehicle 40 in the vehicle manufacturing factory 10, the storage location specifying information 220 recorded in the memory 120 </ b> A of each component 210 is stored in the memory reader (for example, a barcode reader) 260. It is read from 120A and input to the controller 30 incorporated in the same construction vehicle 40. Alternatively, as a modified example, after each component 210 and the controller 30 are incorporated in the construction vehicle 40 and connected to each other, the storage location specifying information 220 recorded in the memory 210A of each component 210 is read by the controller 30. .

  The controller 30 acquires the performance test data 230 of each component 210 from the data server 250 through the communication network 240 based on the storage location specifying information 220. Thereafter, as in the previous embodiment, the controller 30 analyzes the performance test data 230 of each component 210, and performs general optimization processing and special optimization processing.

  As mentioned above, although embodiment of this invention was described, this embodiment is only the illustration for description of this invention, and is not the meaning which limits the scope of the present invention only to this embodiment. The present invention can be implemented in various other modes without departing from the gist thereof.

  For example, in the two embodiments described above, the performance test data of each main component is recorded in the memory or data server of each main component, and the controller inputs the performance test data and analyzes it. Generate performance data for each major component. However, as a modification, not the performance test data of each main component but the performance data obtained by analyzing the performance test data in advance is recorded in the memory or data server of each main component, and the performance data is stored in the controller. It may be input.

The block diagram which shows the whole structure of the performance adjustment apparatus of the working machine concerning one Embodiment of this invention. The figure which shows the specific example of performance test data. 7 is a flowchart showing a process for general optimization of control setting values by a setting optimization program 36; The figure which shows the example of the various data used by the process of general optimization. 7 is a flowchart showing processing for special optimization of a control set value by a setting optimization program. The figure which shows the example of the various data used by the process of special optimization. The flowchart which shows operation | movement of the driving control program 38. The block diagram which shows the whole structure of the performance adjustment apparatus of the working machine concerning another embodiment of this invention.

Explanation of symbols

DESCRIPTION OF SYMBOLS 10 Vehicle manufacturing factory 12 Pump manufacturing factory 14 Engine manufacturing factory 16 Transmission manufacturing factory 18 Suspension manufacturing factory 20 Controller manufacturing factory 22 Hydraulic pump 24 Engine 26 Transmission 28 Suspension 22A, 24A, 26A, 28A Memory 30 Controller 32 Processor 34 Memory 36 Setting optimization program 38 Operation control program 42 Standard performance data 44 Standard setting 46 General optimum setting 52 Special performance requirement for total performance 54 Special optimum setting 120 Performance data 122 Personality data 126 Optimization rule 130 Special performance for main component performance Request 132 Personality change data 200 Component manufacturing factory 210 Main component 210A Memory 220 Storage location specifying information 23 Performance test data 260 memory reader

Claims (10)

Using a plurality of types of control setting values that are mounted on a work machine (40) having a plurality of components (22, 24, 26, 28) and that are respectively associated with a plurality of types of performance items possessed by individual performances of the plurality of components. Control means (38) for controlling the operation of the plurality of components;
Acquire actual performance data (120) indicating actual performance of the plurality of types of performance items of the plurality of components, and based on the actual performance data, the plurality of types of control setting values related to the plurality of types of performance items A performance adjustment device for a work machine, comprising first optimization means (S1 to S4 in 36) that selects a control setting value to be corrected from among the first setting means and corrects the selected control setting value. The apparatus of claim 1.
A work machine performance adjustment device, wherein the first optimization means (36 to S4 of 36) is mounted on the work machine (40). The control device according to claim 1,
The first optimization means (S1 to S4 of 36) has desired performance data (42) indicating desired performance in the plurality of types of performance items of the plurality of components, and the actual performance data (120) A performance adjustment device for a work machine that compares the desired performance data (42) and selects a control setting value to be corrected based on the comparison result. The control device according to claim 1,
The first optimization means (S1 to S4 of 36) inputs performance test data (110) indicating the results of performance tests of the plurality of components, analyzes the input performance test data, and A performance adjustment device for work machines that creates actual performance data (120). The control device according to claim 1,
Memory (22A, 24A, 26A, 28A) attached to each of the plurality of components stores the performance test data (110) of each component,
A performance adjustment device for a work machine, wherein the first optimization means (S1 to S4 in 36) reads the performance test data from the memory. The control device according to claim 1,
A server (250) installed outside the work machine and capable of communicating with the first optimization means stores the performance test data (110) of the plurality of components;
The work machine performance adjustment device, wherein the first optimization means (S1 to S4 of 36) reads the performance test data (110) of the plurality of components from the server. The control device according to claim 1,
A special request (130) for a plurality of types of performance items possessed by individual performances of the plurality of components is acquired, a control setting value to be corrected is selected based on the special request, and the selected control setting value is corrected. A work machine performance adjustment apparatus further comprising second optimization means (36 of S11 to S14). The control device according to claim 1,
The second optimization means (S11 to S14 of 36) inputs a special request (52) for the overall performance of the work machine, and based on the input special request (52) for the overall performance, A performance adjustment device for a work machine, which creates a special request (130) for a plurality of types of performance items possessed by the individual performance of each component. Multiple components,
Control means for controlling operations of the plurality of components using a plurality of types of control setting values respectively associated with a plurality of types of performance items possessed by the individual performances of the plurality of components;
Acquire actual performance data indicating actual performance of the plurality of types of performance items of the plurality of components, and based on the actual performance data, from among the plurality of types of control setting values related to the plurality of types of performance items A work machine comprising: a first optimization unit that selects a control setting value to be corrected and corrects the selected control setting value. Controlling the operation of a plurality of components in the work machine using a plurality of types of control setting values respectively associated with a plurality of types of performance items possessed by individual performances of the plurality of components;
Obtaining actual performance data indicating actual performance in the plurality of types of performance items of the plurality of components;
Selecting a control setting value to be corrected from the plurality of types of control setting values related to the plurality of types of performance items based on the actual performance data, and correcting the selected control setting value. Adjustment method of working machine.

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