JP2019106032A - Apparatus and system for determining cost-versus-effect of vibration/noise - Google Patents

Abstract

To provide an apparatus for determining a cost-versus-effect of vibration/noise problem adapted to provide as support information evaluation information for a measure to suppress vibration or noise in designing a newly developed product or considering an improvement plan for an existing product.SOLUTION: An apparatus for determining a cost-versus-effect of vibration/noise problem 40 comprises a vibration/noise-problem deterrence probability table generation part 42 that generates a posteriori vibration/noise-problem deterrence probability table associating a presence/absence of a prior-tackling measure implementation with a posteriori-problem occurrence deterrence rate on the basis of a vibration/noise-transmission-path probability inference model to be inputted, a cost list generation part 41 that generates a cost list on the basis of a prior/posteriori cost list consists of a prior cost required for implementing a suppression measure of each piece of vibration/noise problem and a posteriori cost required after a problem occurrence, and a profit table generation part 43 that generates a profit table on the basis of the posteriori vibration/noise-problem deterrence probability table and the cost list. On the basis of the profit table, a predicted vibration/noise level at an implementation of the relevant measure together with an optimal application measure is presented to the user, including variations and fluctuation width.SELECTED DRAWING: Figure 1

Description

  The present invention relates to a cost-effectiveness determination apparatus and system for cost-effectiveness implementation of proactive measures for preventing occurrence of vibration and noise problems, and in particular, vibration and noise problems suitable for decision support for the implementation of proactive measures based on the cost-effectiveness. The present invention relates to a cost effectiveness determination device and a noise and noise problem cost effectiveness determination system.

  Vibration or noise generated from a product is widely recognized as a factor that degrades the comfort when using the product. Therefore, it is important to understand and control vibration noise, and in order to do this, the sources of vibration and noise and transmission paths are grasped in advance at the design stage, and based on the results, changes to the current structural plan and its effects Prior consideration is required. By the way, the vibration and soundproofing measures that are generally carried out to suppress vibration and noise often have a trade-off relationship with other performances as well as increase in cost and weight. For this reason, it is avoided to implement measures that aim only to suppress vibration and noise, and it is best not to apply anti-vibration / soundproof measures in advance, and to adopt a strategy to take post-measures after problems occur. If it is, it can choose. On the other hand, it is also natural to avoid that the cost of follow-up measures implemented after the occurrence of a problem is higher than the estimated cost if the measures were implemented in advance.

  In this way, ultimately, the required vibration noise and noise specifications are achieved at the necessary and sufficient level, and overall costs including the cost of measures, the impact on weight, and other performance are minimized. It is necessary to apply measures that can be realized, but the judgment is actually difficult.

  On the other hand, with regard to the technology of such judgment support, for example, development in maintenance and operation business, such as abnormality sign diagnosis for facility equipment described in Patent Document 1 and maintenance of ground equipment for railway described in Patent Document 2, It is thriving. With maintenance, it is always required to make a management decision whether to perform inspections and repairs until operation is stopped, or to continue operation even at risk of destruction or failure, so the impact of event occurrence and the probability of occurrence As a risk, and formulate a maintenance strategy.

Patent No. 5081998 JP, 2016-203931, A

  In order to suppress the vibration and noise generated by the product, it is first necessary to understand the sound source, the excitation source and the transmission path, and generally, identification of the sound source and transmission characteristics using measured data is generally performed. Furthermore, a determination of the contribution rate indicating the dominant transmission path and the magnitude of the contribution from each path is performed.

  As mentioned above, the vibration and sound insulation measures generally implemented to suppress vibration and noise not only increase cost and weight, but also often have a trade-off relationship with other performances. Therefore, it is required to apply the measures that can achieve the specifications regarding vibration noise at the necessary and sufficient level and minimize the overall cost including the measure cost and the influence on weight and other performance. However, that judgment is actually difficult.

  The difficulty of this judgment will be described using the drawings. FIG. 10 is a diagram for explaining the problem in the determination of whether or not the conventional countermeasure against vibration noise is implemented. As shown in the cost table 34 in the upper part of Fig. 10, it is assumed that there is a vibration noise reduction measure now, and if this is applied in advance in the initial design stage, the construction cost of the measure or other design redesign or adjustment It is assumed that the cost including the (pre-cost) occurs "2". In addition, if it is found that vibration noise does not reach the target performance after product production / shipment, it is assumed that a cost of 5 (post-cost) will occur due to measures, design changes or penalty payments to customers. . Then, the cost table 34 is as shown in the lower part of FIG. What is most expected is that the problem does not occur in the future even if the advance response is not performed, and the total cost at this time is “0” (the best condition). On the other hand, the most to be avoided is the case where the problem occurs after the countermeasure is taken although the countermeasure is taken in advance, and the total cost at this time is “7” (worst condition). Now we will argue based on the theory of outcomes assuming that no causal relationship is recognized between the implementation of proactive measures and the occurrence of ex post problems. In this case, if it is known that the problem does not occur after the fact, it is better not to implement the proactive measures (total cost: 0) with respect to implementing the proactive measures (total cost: 2). Similarly, if it is known that a problem will arise after the fact, it is better not to implement the proactive measures (total cost: 5) as opposed to implementing the proactive measures (total cost: 7). In any case, it is better not to implement proactive measures. In game theory, this is called "dominance strategy", and if you do not admit a causal relationship between the implementation of proactive measures and the occurrence of ex post problems like this, it is better to not implement proactive measures because the cost is lower and the strategy is better. It is determined that

  On the other hand, since it is a proactive measure aimed at deterring the occurrence of problems, a causal relationship exists between the implementation of proactive measures and the occurrence of ex post problems. Temporarily, if ex post measures are implemented, ex post problems will be deterred surely, conversely, if ex ex post actions are not implemented, ex post problems will surely occur. FIG. 11 shows the vibration noise problem deterrence probability table 32 and the cost table 34 in this case, and for the first time by showing the causal relationship between the implementation of such proactive measures and the occurrence of the ex post problem, “2” It is judged that it would be better to spend the cost and implement the precautionary measures to suppress the occurrence of the ex post problem, rather than pay the cost of "5" later for the post exposition measure without implementing the precautionary measure. You can do it.

  However, in the measurement of the vibration noise phenomenon, in general, there are many cases where data having variation generally can be obtained due to the mixture of noise and subtle fluctuations in measurement conditions. Therefore, the above-mentioned identification results of the sound source and the transfer characteristic also include the uncertainty caused by the variation of the data to a large extent, and the transfer path determined based on this and the structure calculated based on that. As a matter of course, the prospect of change can not be considered deterministic. That is, it is difficult in the practical problem to explain with a certain cause-and-effect relationship as shown in FIG. Therefore, it is desirable that probabilistic treatment with variation and uncertainty taken into account is desirable, and the decision support for structural change implementation launched from the result is also the probability distribution of the vibration noise estimated value and its degree of influence. It is desirable that the determination based on is performed.

By the way, the support technology of the judgment based on such uncertain information is advanced in the field of abnormality sign diagnosis for equipment and the like. However, no consideration is given to the structural examination of each part of the product to be designed. For example, on the premise that the technology described in Patent Document 1 is applied to maintenance and operation of a device that is actually in operation, the operation state is determined based on various signals including sound and vibration, and an abnormality is It is a system that aims to remotely determine the situation based on these data when it occurs. However, although various signals including sound and vibration are used, they do not support the design of a product to be developed in the future, in particular, judgment regarding vibration noise.
Further, the technology described in Patent Document 2 performs maintenance support of the railway ground facility by predicting deterioration from the environmental information of the railway ground facility and the relational expression representing the relationship between the environment and the temporal deterioration. However, like the above-mentioned patent document 1, it does not support the design of the product developed from now on, especially the judgment about vibration noise.
As described above, although technologies related to systems that support such judgments in maintenance and operation businesses, such as diagnosis of abnormality signs for equipment and maintenance, have been proposed, there are a plurality of structural studies of each part of products to be designed from now It does not consider the cost effectiveness of the proposed structure.

  Therefore, the present invention can provide vibration / noise problem cost vs. information that can provide evaluation information for measures to suppress vibration or noise, particularly when designing a newly developed product or when considering an improvement plan for an existing product. An effect determination device and a vibration noise problem cost effectiveness determination system are provided.

In order to solve the above problems, the vibration noise problem cost-effectiveness judging device according to the present invention relates to the post-vibration that relates the presence or absence of the implementation of the countermeasure in advance and the post-problem occurrence suppression rate based on the input vibration noise transmission path probabilistic reasoning model. The noise and noise problem suppression probability table generation unit generates a noise problem suppression accuracy table, and the cost based on the prior and subsequent cost list consisting of the preliminary cost for implementing the measures to suppress each vibration and noise problem input and the after cost after the problem occurs. A cost table generating unit for generating a table, and a gain table generating unit for generating a gain table based on the after-vibration noise problem suppression probability table and the cost table, and the above-mentioned together with the optimum application measure based on the gain table It is characterized in that the expected vibration noise level when implementing the optimum application measure is presented to the user including the variation and fluctuation range.
In the vibration noise problem cost-effectiveness determination system according to the present invention, (1) a vibration noise problem factor estimation device for estimating a vibration noise transmission state of an operating condition of the device and its contribution rate, and (2) the vibration noise A vibration noise problem suppression probability table generation unit that generates a posterior vibration noise problem suppression probability table that associates the presence or absence of prior countermeasure measures with the post-problem occurrence suppression rate based on the vibration / noise transfer path probabilistic inference model generated by the problem factor estimation device And a cost table generation unit for generating a cost table based on a prior ex-post cost list consisting of an a priori cost for implementing measures to suppress each vibration and noise problem and an ex post facto cost for taking after the problem occurrence; Vibration noise problem cost / benefit determination device having a gain table generation unit for generating a gain table based on the suppression probability table and the cost table; With optimum applicable measures based on the table of the expected vibration noise level when implementing the optimal applied measures including its variation and fluctuation range, characterized in that presented to the user.

According to the present invention, in particular, at the time of design of a product to be newly developed or at the time of consideration of an improvement plan of an existing product, vibration noise problem cost vs. noise which can provide evaluation information for measures for suppressing vibration or noise as support information. It becomes possible to provide an effect determination apparatus and a cost / benefit determination system for vibration noise problems.
Problems, configurations, and effects other than those described above will be apparent from the description of the embodiments below.

It is a functional block diagram of the noise-noise problem cost-effectiveness determination apparatus of Example 1 which concerns on one Example of this invention. It is a figure explaining the processing outline of the vibration noise problem cost effectiveness determination device shown in FIG. BRIEF DESCRIPTION OF THE DRAWINGS It is a figure explaining the structural example of the vibration noise problem factor estimation apparatus which comprises the vibration noise problem cost-effectiveness determination system which concerns on one Example of this invention. It is a figure which shows the example of a screen display of the contribution rate display part which comprises the vibration noise problem factor estimation apparatus shown in FIG. It is a whole schematic block diagram of the vibration noise problem cost-effectiveness judging system of Example 1, and is a figure explaining data and processing. It is a figure which shows the example of another screen display of a contribution rate display part. It is a whole schematic block diagram of the vibration noise problem cost-effectiveness determination system of Example 2 which concerns on the other Example of this invention, Comprising: It is a figure explaining data and a process. It is a whole schematic block diagram of the vibration noise problem cost-effectiveness determination system of Example 3 which concerns on the other Example of this invention, Comprising: It is a figure explaining data and a process. It is a whole schematic block diagram of the vibration noise problem cost-effectiveness determination system of Example 4 which concerns on the other Example of this invention, Comprising: It is a figure explaining data and a process. It is a figure explaining the problem in judgment of the conventional implementation of the vibration noise countermeasure implementation. It is a figure explaining the other problem in judgment of the conventional vibration noise countermeasure implementation possibility.

  Hereinafter, embodiments of the present invention will be described with reference to the drawings.

FIG. 1 is a functional block diagram of a vibration noise problem cost-effectiveness determination apparatus according to a first embodiment of the present invention, and FIG. 2 illustrates the processing outline of the vibration noise problem cost-effectiveness determination apparatus shown in FIG. It is a figure to do.
The conventional method shown in FIG. 11 is a judgment based on the premise that there is a definite causal relationship between the implementation of the proactive measures and the occurrence of the post-procedure problems, and variations and uncertainties occurring in the vibration noise problem are considered. The problem was that no probabilistic approach was taken.
In the vibration noise problem cost / effectiveness determining apparatus 40 according to the present embodiment shown in FIG. 1, the uncertainty of such a causal relationship is taken as a probability. As shown in FIG. 1, the vibration noise problem cost effectiveness determination device 40 includes a cost table generation unit 41, a vibration noise problem suppression probability table generation unit 42, a gain table generation unit 43, an input I / F 44, and an output I / F 45. Equipped with The cost table generation unit 41, the vibration noise problem suppression probability table generation unit 42, and the gain table generation unit 43 are, for example, a processor such as a central processing unit (CPU) (not shown), a ROM for storing various programs, data of operation processes Is realized by a storage device such as a RAM for temporarily storing data and an external storage device, and a processor such as a CPU reads and executes various programs stored in the ROM, and the calculation result as the execution result is RAM or an external storage Store in the device. For example, at least one of the cost table generation unit 41, the vibration noise problem suppression certainty table generation unit 42, and the gain table generation unit 43, which constitute the vibration noise problem cost effectiveness determination device 40, may be a program (for example, a program memory). It may be configured to be realized by a stored program. In other words, all of the cost table generation unit 41, the vibration noise problem suppression certainty table generation unit 42, and the gain table generation unit 43 may be incorporated into one program, or a desired combination may be incorporated into one program. good.

As shown in FIG. 2, the ex-post problem occurrence suppression rate is now 80% when the prior response measures for vibration and noise problems are implemented, and the ex post problem occurrence suppression rates when the prior response measures for vibration and noise problems are not implemented. Suppose 30%. Then, the gain table 35 at the time of strategic planning becomes a cost expectation value, which is obtained by multiplying the cost table 34 by the vibration noise problem suppression certainty table 32. From this gain table 35, the cost expectation value at the time of implementation of the proactive measures will be "3.0", and it can be explained that it is a better strategy than the expected cost value "3.5" when the proactive measures are not implemented. It can. In addition, although mentioned later in detail, cost table generation part 41 which constitutes vibration noise problem cost effectiveness determination device 40 has a function which generates cost table 34, and vibration noise problem suppression probability table generation part 42 suppresses vibration noise problem. It has a function of generating a probability table 32. Further, the gain table generation unit 43 multiplies the vibration noise problem suppression certainty table 32 generated by the vibration noise problem suppression certainty table generation unit 42 by the cost table 34 generated by the cost table generation unit 41 to obtain a gain table. Has the ability to generate 35.
With such a concept, the uncertainty associated with the variation is large, and the total cost including the cost of the measure, the influence on the weight, and the other performance is minimized, and the required specification is just enough. It is effective as an application judgment method of the suppression measure of the vibration noise problem realized at the level of, but the important thing at this time is the judgment method of the causality between the implementation of the preliminary measures and the occurrence of the ex post problem .

FIG. 3 is a view for explaining an example of the arrangement of a vibration noise problem factor estimation device constituting the vibration noise problem cost-effectiveness determination system according to the embodiment of the present invention. The noise and vibration problem cause estimation apparatus 30 shown in FIG. 3 is required to construct the noise and vibration problem suppression certainty table 32 indicating the causal relationship between the above-described proactive measures and the occurrence of the aftermath. Hereinafter, the configuration of the vibration noise problem factor estimation device 30 will be described.
As shown in FIG. 3, the vibration / noise problem factor estimation device 30 uses the on-site data extraction unit 11 and the on-site data extraction unit 11 to extract various data of vibration and noise in the actual operation state of the measurement target product 10. A site data storage unit 12 is provided which stores the extracted actual operation data of the site. The vibration / noise problem factor estimation device 30 also transmits the transmission path of the vibration noise of the measurement target product 10 estimated by the user (designer) 20 and the transmission path model 16 a representing the transmission path in a graphical model, A laboratory data storage unit 17 stored in the model data storage unit 13, a sound source / transmission characteristic estimation engine 14, a sound source / transmission characteristic probability distribution data storage unit 15, a contribution ratio estimation engine 18, and a contribution ratio display unit 19 are provided. The sound source / transfer characteristic estimation engine 14, the laboratory data storage unit 17, and the contribution rate estimation engine 18 are, for example, a processor (CPU (Central Processing Unit) not shown), a ROM for storing various programs, and data of operation processes Is realized by a storage device such as a RAM and an external storage device, and a processor such as a CPU reads and executes various programs stored in the ROM, and the calculation result as the execution result is stored in the RAM or the external storage device. Store.

The sound source / transfer characteristic estimation engine 14 stores the plurality of actual operation site data stored in the field data storage unit 12 and the transfer route model data storage unit 13, and the transfer route model selected by the user (designer) 20. Based on 16a, probability distribution of sound source and transfer characteristics corresponding to each transfer path of the transfer path model 16a is estimated. The sound source / transfer characteristic estimation engine 14 stores the estimated probability distribution of the sound source / transfer characteristic in the sound source / transfer characteristic probability distribution data storage unit 15.
The contribution rate estimation engine 18 includes the transfer path model 16 a stored in the transfer path model data storage unit 13, the sound source transfer characteristic probability distribution data stored in the sound source transfer characteristic probability distribution data storage unit 15, and the field data storage unit. The vibration noise contribution rate is calculated based on the plurality of actual operation site data stored in 12. The contribution rate estimation engine 18 outputs the calculated vibration noise contribution rate to the contribution rate display unit 19. The user (designer) 20 operates the contribution ratio display unit 19 to display the contribution ratio of the measurement target product 10 to a predetermined partial structural element on a display screen (not shown) of the contribution ratio display unit 19. It is possible to obtain probabilistic inference results regarding the degree of impact on the entire product to be measured and the cost-effectiveness when planning structural changes.
The sound source / transmission characteristic probability distribution data 16 b acquired by the pre-shipment test or periodic inspection test of the measurement target product 10 is subjected to sound source / transmission characteristic probability distribution by the user (designer) 20 by the laboratory data storage unit 17. It is also possible to store and update the data storage unit 15.

  As described above, the transmission path model 16a and the sound source and transfer characteristics that the user (designer) 20 can store in the transfer path model data storage unit 13 and the sound source and transfer characteristic probability distribution data storage unit 15 by the laboratory data storage unit 17 respectively. The probability distribution data 16b can be examined or calculated based on the measurement results and analysis results in the laboratory, whereby the vibration noise model of the product to be examined can be updated and improved. Therefore, the transmission path model 16a and the sound source / transmission characteristic probability distribution data 16b are collectively referred to as laboratory data 16 here.

As an algorithm of probabilistic estimation by the above-mentioned sound source / transfer characteristic estimation engine 14, for example, a method called Bayesian network is used. The Bayesian network is a conditional probability density distribution where data D occurs under the occurrence of an event H with a likelihood P (D | H), assuming a causal relationship between the event H and the data D obtained thereunder. to own in advance as, when data D ₁ is obtained by actual field, the probability of an event H that the data may be obtained, the likelihood P (D data D ₁ for the event H indicated above It is a method to estimate based on ₁ | H).

For example, when it is possible to directly measure the vibration noise S _i of the evaluation point and a signal such as the excitation force F or the sound source N in an operation test, first, the transfer characteristic H ₁ = S _i / F between them in the learning phase, Inverse calculation of H ₂ = S _i / N, and as a result, the conditional probability density distribution of the vibration noise S _i of the evaluation point with respect to H ₁ and H ₂ is databased as likelihood P (S _i | H ₁ ∩H ₂ ) Then, it is stored in the sound source / transmission characteristic probability distribution data storage unit 15. Next, in the estimation phase, after obtaining the vibration noise S _n of the evaluation point at the time of actual operation, the likelihood P (S _n | H ₁ ∩H ₂ ) regarding the transfer characteristics H ₁ and H ₂ that can be observed by this data Can be stochastically identified in the actual operating transfer characteristics H ₁ and H ₂ by sequentially multiplying as many as the number of observation signals.

The sound source and the transfer characteristic are mutually interchangeable in that they are multiplied by each other to become vibration noise at the evaluation point. Therefore, if the above method is taken oppositely, it can also be used for identification of excitation sources and sound sources that are difficult to measure directly in actual operation. For example, the likelihood of any excitation force F or sound source N and the vibration noise S _i of the evaluation point S _i is acquired in a test before shipment etc., and this is put into a database, The transfer characteristic probability distribution data storage unit 15 stores the data. Next, from the vibration noise S _n of the evaluation point acquired at the time of actual operation, the probability density P (S _n | F∩N) of the likelihood regarding the excitation force F or the sound source N that this data can observe By sequentially multiplying them, it is possible to stochastically identify the excitation force and the size of the sound source at the time of actual operation.

In this way, by estimating the excitation force, sound source characteristics and transfer characteristics of the current model, the contribution of the evaluation point vibration noise in the current model is probabilistically calculated, and based on this, the specifications and design of the next model You can consider the guidelines.
After that, in the pre-shipment test when the next model is completed, likelihood data of the transfer characteristics of the evaluation point vibration noise to the excitation force and the sound source of the next model is acquired, By multiplying the probabilistic identification results of the above, it is possible to stochastically predict in advance the vibration noise at the evaluation point during operation of the next model before operation. Although the above-mentioned evaluation point is basically set by the user (designer) 20, it can not be set as an evaluation point for a part where measured data can not be measured by a sensor or the like.

FIG. 4 is a view showing a screen display example of the contribution rate display unit 19 constituting the vibration noise problem factor estimation device 30 shown in FIG. As shown in FIG. 4, the display screen of the contribution rate display unit 19 displays a transfer path graphical model display area 19a for displaying the transfer path model represented by the graphical model, and a two-dimensional graph representing frequency characteristics of the contribution rate. It comprises a contribution ratio two-dimensional graph display area 19b and an influence / probability judgment element display area 19c for displaying design judgment materials. When a desired element is selected by, for example, a mouse pointer or the like on the graphical model representing the transmission path displayed in the transmission path graphical model display area 19a, the variation of the sound source / transmission characteristic related to that element The degree of influence is displayed on the two-dimensional graph in the contribution ratio two-dimensional graph display area 19b. Specifically, as shown in FIG. 4, due to the variation of the sound source / transfer characteristic related to the element selected in the transfer path graphical model display area 19a, the upper limit or lower limit of the contribution rate of the vibration noise passing through the element, or The confidence interval is displayed in the contribution ratio two-dimensional graph display area 19b. Based on this figure, it is possible to judge the influence of the variation of the vibration noise characteristics of the selected element on the vibration noise characteristics of the whole system, specifically, the degree and the degree of the upswing and the downswing. For example, in FIG. 4, the frequency characteristic of the evaluation point noise is indicated by a black bold line in the contribution ratio two-dimensional graph display area 19b, and the median of the contribution ratio of the selected element is a gray line, and the variation is a confidence interval It is indicated by (vertical bar), and the fluctuation range of the evaluation point noise due to the uncertainty of the contribution rate is indicated by a gray broken line. As a result, the possibility of the score noise rising by 2 dB or more at a probability of 25% and falling by 2 dB or more at a probability of 5% is shown in the influence degree / probability judgment element display area 19c.
Further, if such influence calculation results are further processed, it is also possible to equip the structural elements that need to be considered in order to suppress the vibration noise at the evaluation points, with the function displayed in the order of priority of countermeasures.

FIG. 5 is an overall schematic configuration diagram of the vibration noise problem cost-effectiveness determination system 1 of the present embodiment, and is a diagram for explaining data and processing.
As shown in FIG. 5, the vibration noise problem cost effectiveness determination system 1 includes the vibration noise problem factor estimation device 30 shown in FIG. 3 and the vibration noise problem cost effectiveness determination device 40 shown in FIG. Ru. When the vibration / noise problem factor estimation device 30 automatically generates the vibration / noise transfer path probability inference model 31, the vibration / noise problem suppression probability table generation unit 42 constituting the vibration / noise problem cost effectiveness determination device 40 transmits the generated vibration noise Based on the path probability inference model 31, a vibration noise problem suppression probability table 32 is generated. As for generation of the vibration noise problem suppression probability table 32, instead of the vibration noise problem suppression probability table generation unit 42 generating based on the vibration noise transmission path probability inference model 31, generated vibration noise transmission path probability inference The vibration noise problem suppression probability table 32 may be automatically generated based on the model 31.
The user (designer) 20 estimates the preliminary cost for implementing the suppression measures for each noise and vibration problem, and the ex post cost incurred after the occurrence of the problem, and inputs it as the preliminary and subsequent cost list 33. The cost table generation unit 41 to be configured inputs the prior / post cost list 33 via the input I / F 44. Then, the cost table generation unit 41 generates the cost table 34 based on the pre-post cost list 33. The gain table generation unit 43 constituting the vibration noise problem cost effectiveness determination device 40 generates the vibration noise problem suppression certainty table 32 generated by the vibration noise problem prevention certainty table generation unit 42 and the cost table generation unit 41. A gain table 35 is generated based on the cost table 34. Vibration noise problem cost-effectiveness determination device 40 through the output I / F 45 including the expected vibration noise level and contribution rate when the policy is implemented along with the optimum application policy, including the variation and the fluctuation range thereof, It outputs to the contribution rate display part 19 which comprises the vibration noise problem factor estimation apparatus 30. FIG. Thus, on the display screen of the contribution rate display unit 19, for example, the display information shown in FIG. 4 described above, in other words, at the time of designing a newly developed product or at the time of examining an improvement plan of an existing product It becomes possible to easily view the evaluation information for the measure for suppressing vibration or noise.

  FIG. 6 is a view showing another screen display example of the contribution rate display unit 19 which constitutes the vibration noise problem factor estimation device 30. As shown in FIG. As shown in FIG. 6, in the upper area of the contribution rate display unit 19, the user (designer) 20 has implemented an advance cost in the case where the measure is implemented in advance for a certain measure for suppressing the noise and vibration problem. When the post-problem occurrence cost is taken as the axis of ordinate and the post-problem cost is taken as the axis of ordinate, the effective strategy area derived from the gain table 35 generated by the above-described vibration noise problem cost effectiveness determination device 40 is By showing it as a map, it is possible to effectively show the cost-effectiveness for implementing the measures. For example, in the “Situation 1” plotted in the effective strategy map, it is assumed that the post-countermeasure cost at the time of occurrence of the vibration and noise problem is larger than the cost of implementing anti-vibration sound insulation measures in advance. It is judged that it is better to carry out the measures. On the other hand, in the “Condition 2” plotted in the effective strategy map, it is assumed that the post-countermeasure cost at the time of occurrence of the vibration noise problem is smaller than the cost of implementing anti-vibration sound insulation measures in advance. Measures will not be implemented, and if a problem occurs, it is judged that it is better to carry out post-measures after the problem occurs.

  Incidentally, as shown in FIG. 6, in addition to displaying the effective strategy map in the upper area of the contribution rate display unit 19, the “condition 1” is displayed in the lower area of the contribution rate display unit 19 "Pre-cost", "post-cost", and "strategy" may be displayed for each of the "condition 2" and the "condition 2". In the "Situation 1", the "preliminary cost" is "small", the "post-cost" is "large", and the "strategy" is "follow-up cost when vibration noise problems occur compared to the cost of anti-vibration soundproofing in advance. Therefore, it is assumed that the measures against noise and sound are taken in advance. On the other hand, in the "Situation 3", the "preliminary cost" is "large", the "post-cost" is "small", and the "strategy" is "post-measure cost when vibration noise problems occur, Therefore, we do not implement anti-vibration and soundproofing measures in advance, and will take post-measures after problems occur.

  As described above, according to the present embodiment, vibration that can provide evaluation information for measures to suppress vibration or noise as support information, particularly when designing a newly developed product or when considering an improvement plan for an existing product. It becomes possible to provide a noise problem cost effectiveness determination device and a vibration noise problem cost effectiveness determination system.

  In addition, according to the present embodiment, the problem is the probabilistic theory of the influence of the change of the sound source, the excitation source, the transmission path, and the arbitrary factor on the vibration noise of the entire structure and the cost-effectiveness of the structure change. Inferences can be made, and judgment materials (evaluation information) can be provided to make a rational judgment for suppressing vibration and noise. Furthermore, since the optimal strategy is displayed together with the rationale, it is shared among multiple designers, and the decision on the design policy is facilitated.

  FIG. 7 is an overall schematic configuration diagram of a vibration noise problem cost / benefit determination system according to a second embodiment of the present invention, illustrating data and processing. In the above-described first embodiment, when the prior cost and the subsequent cost are known, it is determined which of the plurality of measures for suppressing the vibration noise problem is most cost effective and presented to the user (designer) 20. It was composition. On the other hand, in the present embodiment, even when only the ex post cost is known (the prior cost is unknown), evaluation information for a measure to suppress vibration or noise is presented to the user (designer) 20 as support information. Is different from the first embodiment. The other configuration is the same as that of the first embodiment, and in the following, the same reference numerals are given to the same symbols as the first embodiment.

First, in the initial design stage, when the proposed policy is proposed, the implementation cost is often uncertain, and usually, the target of the cost of implementing the policy for the proposed policy is required.
As shown in FIG. 7, the vibration noise problem cost effectiveness determination system 1a according to the present embodiment is the vibration noise problem factor estimation device 30 shown in FIG. 3 described above and the vibration noise problem cost effectiveness determination shown in FIG. It comprises an apparatus 40. When the vibration / noise problem factor estimation device 30 automatically generates the vibration / noise transfer path probability inference model 31, the vibration / noise problem suppression probability table generation unit 42 constituting the vibration / noise problem cost effectiveness determination device 40 transmits the generated vibration noise Based on the path probability inference model 31, a vibration noise problem suppression probability table 32 is generated. As for generation of the vibration noise problem suppression probability table 32, instead of the vibration noise problem suppression probability table generation unit 42 generating based on the vibration noise transmission path probability inference model 31, generated vibration noise transmission path probability inference The vibration noise problem suppression probability table 32 may be automatically generated based on the model 31.

  The user (designer) 20 inputs to the noise and noise problem cost / benefit judging device 40 the prior / post cost list 33 in which only the ex post costs are known for the suppression measures of the noise and vibration problem and the preliminary costs of the respective measures are unknown. Do. In other words, a variable is set in the prior cost column in the prior / post cost list 33, and when the prior / post cost list 33 is input, the cost table generation unit 41 configuring the vibration noise problem cost effectiveness determination device 40 The advance / post cost list 33 is input through the I / F 44. Then, the cost table generation unit 41 generates the cost table 34 based on the pre-post cost list 33. At this time, the cost table generation unit 41 generates a cost table 34 which is displayed in an algebraic manner using the unknown prior cost as a variable, since the prior cost is unknown. The gain table generation unit 43 constituting the vibration noise problem cost effectiveness determination device 40 generates the vibration noise problem suppression certainty table 32 generated by the vibration noise problem prevention certainty table generation unit 42 and the cost table generation unit 41. Based on the cost table 34, the gain table 35 is generated by algebraically expressing the unknown a priori cost. In addition, the noise and vibration problem cost-effectiveness determination device 40 calculates how much each implementation cost must be reduced to become an effective strategy for each measure, and, via the output I / F 45, The noise and noise problem factor estimation device 30 is presented to the user (designer) 20 by outputting it to the contribution rate display unit 19. Here, as shown in FIG. 7, if the user (designer) 20 wants to implement the measure B, the vibration noise problem cost / benefit determination device 40 determines the user (designer) via the input I / F 44. 20, based on the gain table 35 expressed algebraically at the unknown prior cost generated in the gain table generation unit 43, taking the prior cost Cb for minimizing the cost expectation when the prior countermeasure measure B is implemented. The obtained range (a value indicating how much Cb has to be reduced) is output to the contribution rate display unit 19 which constitutes the vibration noise problem factor estimation device 30. At this time, it can be easily understood that the prior cost as shown in FIG. As a result, the target cost of each measure is objectively indicated and rationalized, and it is possible to realize quick decision-making on judgment and application of effective measures for the user (designer) 20.

  As described above, according to the present embodiment, in addition to the effects of the first embodiment, the target cost of each measure is objectively indicated with reasoning and shared, which is effective for the user (designer) 20. Quick decision-making on decision and application of policy can be realized.

  FIG. 8 is an overall schematic configuration diagram of a vibration noise problem cost / benefit determination system according to a third embodiment of the present invention, illustrating data and processing. In the above-mentioned Example 1, the example about the case where the vibration noise problem prevention probability table 32 calculated by the vibration noise transmission path probability inference model 31 by the vibration noise problem factor estimation apparatus 30 exists, was shown. On the other hand, in this embodiment, it is not the improvement of the existing product, but in the case where the current machine itself of the product to be examined does not exist in a completely new case, that is, the vibration or noise The present embodiment is different from the first embodiment in that evaluation information for a measure for suppressing noise is presented to support information as a user (designer) 20. The other configuration is the same as that of the first embodiment, and in the following, the same reference numerals are given to the same symbols as the first embodiment.

  As shown in FIG. 8, the vibration noise problem cost effectiveness determination system 1 b according to the present embodiment includes the vibration noise problem cost effectiveness determination device 40 and the contribution rate display unit 19 shown in FIG. 1 described above. In the present embodiment, as described above, since the vibration noise problem suppression certainty table 32 does not exist in the first place, the gain table generation unit 43 configuring the vibration noise problem cost effectiveness determination device 40 assumes the post-post cost list 33 assumed. The gain table 35 is generated after the cost table 34 generated by the cost table generation unit 41 and the vibration noise problem suppression certainty table 32 are algebraically expressed as unknown based on the above. The vibration noise problem cost-effectiveness judgment device 40 calculates how much the problem deterrence accuracy of each measure should be for each measure to be an effective strategy, and the contribution rate through the output I / F 45 It is presented to the user (designer) 20 by outputting to the display unit 19. Here, as shown in FIG. 8, if the user (designer) 20 wants to apply the measure A, the vibration noise problem cost / effectiveness determining device 40 determines the user (designer) 20 through the input I / F 44. Based on gain table 35 that is more accepted and expressed algebraically, the possible range (P (X | A) of the vibration noise problem suppression probability table for minimizing the cost expectation when implementing proactive measures A) How much abnormality should be made is output to the contribution rate display unit 19. As a result, the target value of the problem deterrence accuracy of each measure is objectively shown with reasoning and shared, thereby making it possible for the user (designer) 20 to make a prompt decision regarding judgment and application of effective measures and effective measures. The decision can be realized.

  As described above, according to the present embodiment, in addition to the effects of the first embodiment, even if the vibration noise problem suppression probability table does not exist, the target value of the problem suppression probability of each measure is objectively objectively with an argument. By being shown and shared, it is possible for the user (designer) 20 to realize quick decision-making on judgment and application of effective measures and effective measures.

  FIG. 9 is an overall schematic configuration diagram of a vibration noise problem cost / benefit determination system according to a fourth embodiment of the present invention, illustrating data and processing. In the above-mentioned Example 1, the example about the case where the vibration noise problem prevention probability table 32 calculated by the vibration noise transmission path probability inference model 31 by the vibration noise problem factor estimation apparatus 30 exists, was shown. On the other hand, in this embodiment, it is not the improvement of the existing product, but in the case where the current machine itself of the product to be examined does not exist in a completely new case, that is, the vibration or noise The present embodiment is different from the first embodiment in that evaluation information for a measure for suppressing noise is presented to support information as a user (designer) 20. The other configuration is the same as that of the first embodiment, and in the following, the same reference numerals are given to the same symbols as the first embodiment.

  As shown in FIG. 9, the vibration noise problem cost / benefit determination system 1c according to the present embodiment includes the vibration noise problem cost / benefit judgment device 40 and the contribution rate display unit 19 shown in FIG. 1 described above. In the present embodiment, as described above, the vibration noise problem suppression certainty table 32 does not exist in the first place. On the other hand, in the case of vibration and noise prediction, if the object of examination is development for the purpose of improving the amount of auditory sense such as sound quality, not transmission path or structure change and its effect for physical noise level reduction. When the subject 21 is made audible and made to hear, the quality of the sound may be evaluated by sensory evaluation or the like. In this case, for example, as shown in FIG. 9, once the vibration noise problem suppression certainty table 32 is appropriately assumed, the degree of the sound quality feature amount such as increase or decrease of noise in a certain band or the strength of certain fluctuation. Based on the results of the above-mentioned sensory evaluation, the causal relationship between the acoustical comfort achievement levels is derived based on the results of the sensory evaluation described above, and this is compared with the expected cost value calculated to sequentially identify the vibration noise problem inhibition probability table 32. It has a configuration that corrects and asymptotically approximate values. By this, the target value of the problem deterrence accuracy of each measure is objectively shown with reasoning, and it is possible to realize quick decision-making on judgment and application of effective measures by sharing.

  As described above, according to the present embodiment, in addition to the effects of the first embodiment, even if the vibration noise problem suppression probability table does not exist, the target value of the problem suppression probability of each measure is objectively objectively with an argument. By being shown and shared, it is possible to make quick decisions regarding judgment and application of effective measures.

  The present invention is not limited to the embodiments described above, but includes various modifications. For example, the embodiments described above are described in detail in order to explain the present invention in an easy-to-understand manner, and are not necessarily limited to those having all the configurations described. Also, part of the configuration of one embodiment can be replaced with the configuration of another embodiment, and the configuration of another embodiment can be added to the configuration of one embodiment.

DESCRIPTION OF SYMBOLS 1 Vibration noise problem cost effectiveness determination system 10 Measurement object product 11 Field data extraction unit 12 Field data storage unit 13 Transmission route model data storage unit 14 Sound source / transmission characteristic estimation engine 15 Sound source / transmission characteristic probability Distribution data storage unit 16 laboratory data 16a transfer path model 16b sound source / transfer characteristic probability distribution data 17 laboratory data storage portion 18 contribution rate estimation engine 19 contribution rate display portion 19a transfer path graphical model display area 19 b ... contribution ratio two-dimensional graph display area 19 c ... influence degree / probability judgment element display area 20 ... user (designer)
21 ... subject 30 ... vibration noise problem factor estimation device 31 ... vibration noise transmission path probability inference model 32 ... vibration noise problem suppression probability Table 33 ... pre-post cost list 34 ... cost table 35 ... gain table 40 ... vibration noise problem cost effectiveness Determination device 41 ... Cost table generation unit 42 ... Vibration noise problem suppression probability table generation unit 43 ... Gain table generation unit 44 ... Input I / F
45: Output I / F

Claims (11)

A vibration noise problem deterrence table generation unit that generates a post-vibration noise problem deterrence probability table that associates the presence or absence of prior countermeasure measures with the post-problem occurrence deterrence rate based on the input noise and noise transfer path probabilistic reasoning model;
A cost table generation unit that generates a cost table based on a prior ex-post cost list consisting of an a priori cost for implementation of each noise and noise problem suppression measure input and an ex post facto cost after the occurrence of the problem;
And a gain table generation unit that generates a gain table based on the post-vibration noise problem suppression accuracy table and the cost table,
Vibration noise problem cost-effectiveness judging device characterized by presenting predicted vibration noise level when implementing the optimum application measure together with the optimum application measure based on the gain table to the user including variation and fluctuation range thereof. . In the vibration noise problem cost-effectiveness determination apparatus according to claim 1,
A noise / noise problem cost / effectiveness judging device characterized by outputting, to a display unit, an application cost necessary for becoming an optimal strategy for an implementation desired measure inputted by a user as evaluation information. In the vibration noise problem cost / benefit determination apparatus according to claim 1 or 2,
A vibration / noise problem cost-effectiveness judging device characterized by outputting a vibration / noise problem deterrence accuracy necessary for becoming an optimal strategy for an implementation desired measure inputted by a user as evaluation information to a display unit. In the vibration noise problem cost / benefit determination apparatus according to claim 1 or 2,
The causality between the degree of the sound quality feature and the degree of achievement of the sound quality is derived based on the evaluation result of the auralization performed on the subject, and the vibration noise problem suppression probability is obtained based on the derived causality. The vibration noise problem cost-effectiveness judging device characterized by correcting. A noise and noise problem factor estimating device for estimating a vibration and noise transmission state of an operating condition of the device and a contribution rate thereof;
Based on the noise and vibration transmission path probabilistic inference model generated by the noise and vibration problem cause estimation device, generate a noise and noise problem suppression probability table that associates the presence or absence of proactive measures with the suppression ratio for occurrence of a posterior problem A table generation unit, a cost table generation unit for generating a cost table on the basis of a prior ex-post cost list consisting of an a priori cost for implementing measures to suppress each noise and vibration problem and an ex post facto cost after the occurrence of the problem; Vibration noise problem cost effectiveness determination device having a gain table generation unit that generates a gain table based on the vibration noise problem suppression accuracy table and the cost table;
Vibration noise problem cost-effectiveness judging system characterized by presenting the user with the expected vibration noise level including the variation and fluctuation range when the optimum application measure is carried out with the optimum application measure based on the gain table. . In the vibration noise problem cost-effectiveness determination system according to claim 5,
The noise and noise problem cost-effectiveness determining apparatus displays, on the display unit, the application cost required to become the optimum strategy for the operation desired measure input by the user on the display unit as evaluation information. Effect judgment system. In the vibration noise problem cost / benefit determination system according to claim 5 or 6,
The vibration / noise problem cost-effectiveness judging device displays the vibration / noise problem suppression certainty necessary for becoming an optimal strategy with respect to the implementation desired measure inputted by the user as the evaluation information on the display unit. Problem cost effectiveness judgment system. In the vibration noise problem cost / benefit determination system according to claim 5 or 6,
The causality between the degree of the sound quality feature and the degree of achievement of the sound quality is derived based on the evaluation result of the auralization performed on the subject, and the vibration noise problem suppression probability is obtained based on the derived causality. Vibration noise problem cost-effectiveness determination system characterized by correcting. In the vibration noise problem cost-effectiveness determination system according to claim 7,
The causality between the degree of the sound quality feature and the degree of achievement of the sound quality is derived based on the evaluation result of the auralization performed on the subject, and the vibration noise problem suppression probability is obtained based on the derived causality. Vibration noise problem cost-effectiveness determination system characterized by correcting. In the vibration noise problem cost-effectiveness determination system according to claim 8,
The vibration noise problem factor estimating device
At least a site data extraction unit that measures site data from a product to be evaluated;
A transfer path model data storage unit that stores a transfer path model;
Source / transfer characteristic estimation for estimating probability distribution data of sound source / transfer characteristics corresponding to elements of the transfer route model in the evaluation target product from the field data and the transfer route model stored in the transfer route model data storage unit With the engine,
Contribution rate estimation that estimates the vibration noise contribution rate based on the field data, the transfer path model stored in the transfer path model data storage unit, the sound source / transfer characteristic probability distribution estimated by the sound source / transfer characteristic estimation engine, and And an engine. In the vibration noise problem cost-effectiveness determination system according to claim 9,
The vibration noise problem factor estimating device
At least a site data extraction unit that measures site data from a product to be evaluated;
A transfer path model data storage unit that stores a transfer path model;
Source / transfer characteristic estimation for estimating probability distribution data of sound source / transfer characteristics corresponding to elements of the transfer route model in the evaluation target product from the field data and the transfer route model stored in the transfer route model data storage unit With the engine,
Contribution rate estimation that estimates the vibration noise contribution rate based on the field data, the transfer path model stored in the transfer path model data storage unit, the sound source / transfer characteristic probability distribution estimated by the sound source / transfer characteristic estimation engine, and And an engine.

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