JP2017199260A - Noise prediction program - Google Patents

Abstract

PROBLEM TO BE SOLVED: To provide a noise prediction program capable of performing more properly, simulation of construction noise in construction in which a structure is an object.SOLUTION: A noise prediction program arranges a structure noise source as a different noise source different from a construction noise source, when a steel structure which is a construction object, such as an I-beam 1 of a bridge, and a bridge girder 2, in addition to a noise source (construction noise source) of a tool arranged on a map image. The noise prediction program predicts a noise level to all noise sources, for every prediction point on the map image, then overlaps an isopleth diagram of the result on the map image. Therefore, the noise prediction program predicts a transmission amount of noise generated from the construction noise source to the surrounding, and a transmission amount of noise generated from the structure noise source when the construction object becomes the noise source, and outputs a noise amount obtained by combining them, as a noise of construction, so that, even in construction in which the steel structure is an object, simulation of construction noise can be performed properly.SELECTED DRAWING: Figure 6

Description

  The present invention relates to a noise prediction program that causes a computer to perform predictive control of the amount of propagation of noise generated at a construction site to the surroundings.

  Conventionally, in order to predict the influence of construction noise on the surrounding environment, various noise prediction devices and programs for predicting the propagation status of construction noise to the surroundings have been developed. For example, Patent Document 1 reads map data including a site and a building, inputs data on the sound insulation wall, selects a device that becomes a noise source, and uses data on the site, the building, the sound insulation wall, and the noise source, A noise prediction calculation program that predicts and calculates the propagation, reflection, and diffraction of sound waves and outputs a contour diagram (isoline diagram) in which sound pressure is color-coded is disclosed.

JP 2006-260370 A

  However, construction works are for steel structures such as steel construction, bridge construction, steel tower construction, oil / gas storage tank installation work, outdoor advertising work, gate installation work such as lock gates and sluice gates, etc. In some cases, there is a problem that the simulation result of the construction noise is greatly different from the actual measurement value.

  The present invention has been made to solve the above-described problems, and an object thereof is to provide a noise prediction program capable of more accurately simulating a construction noise even in a construction for a structure. Yes.

  In order to achieve this object, the noise prediction program of the present invention causes a computer provided with a storage unit to execute predictive control of the amount of propagation of noise generated at a construction site to the surroundings. The construction noise source storage means for storing the amount of noise for each construction noise source, and the type and size of the structure noise source when the structure is a noise source in association with the construction target structure A map data acquisition step that functions as a structure noise source storage means to acquire map data according to the construction site, and a construction position that specifies a construction position for the map data acquired by the map data acquisition step A construction noise source obtaining step for obtaining a noise source corresponding to the construction content from the construction noise sources stored in the construction noise source storage means; and the construction position designation step. A construction noise prediction step for calculating and predicting a propagation amount of the noise generated from the construction noise source acquired in the construction noise source acquisition step to the surroundings at the construction position designated by the construction noise, and the construction position designation step If the structure to be constructed becomes a noise source at the construction position specified by the above, the amount of noise generated from the structure noise source stored in the structure noise source storage means is calculated and predicted. A structure noise prediction step, a noise amount synthesis step for synthesizing the noise amounts predicted by the construction noise prediction step and the structure noise prediction step, and a noise amount synthesized by the noise amount synthesis step is output The output step is executed by a computer.

  According to the noise prediction program of the first aspect, the map data corresponding to the construction site is acquired by the map data acquiring step, and the position of the construction is specified by the construction position specifying step for the map data. Then, at the construction position designated in the construction position designation step, the propagation amount of noise generated from the construction noise source acquired in the construction noise source acquisition step to the surroundings is calculated and predicted in the construction noise prediction step. In addition, when the structure that is the construction target (construction target) is a noise source at the construction position designated in the construction position designation step, the surroundings of noise generated from the structure noise source stored in the structure noise source storage means The amount of propagation to is calculated and predicted by the structure noise prediction step. The noise amount predicted by the construction noise prediction step and the structure noise prediction step is synthesized by the noise amount synthesis step, and the synthesized noise amount is outputted by the output step.

  As described above, according to the noise prediction program, in addition to the amount of noise generated from the construction noise source to the surroundings, the noise generated from the structure noise source when the construction target structure becomes the noise source. The amount of propagation to the surroundings is also predicted, and the combined noise amount is output as construction noise. Therefore, there is an effect that the construction noise can be more accurately simulated even in the construction for the structure.

  According to the noise prediction program of claim 2, in addition to the effect of claim 1, the following effect is obtained. That is, the structure noise source storage means stores the type of line sound source or surface sound source as the type when the structure to be constructed is a noise source, and the structure noise prediction step Depending on the type of structure, the amount of propagation of noise generated from the structure noise source to the surroundings is calculated and predicted. Therefore, there is an effect that the amount of propagation of noise generated from the structure noise source to the surroundings can be predicted more accurately.

  According to the noise prediction program of the third aspect, in addition to the effect produced by the first or second aspect, the following effect is obtained. That is, in the structure noise prediction step, when the size of the structure noise source acquired from the structure noise source storage unit is larger than the actual structure, the size of the actual structure is set as the size of the structure noise source. The amount of noise generated from the structure noise source is calculated and predicted. Therefore, since the propagation amount of the noise generated from the structure noise source to the surroundings can be calculated according to the size of the actual structure, the propagation amount of the noise to the surroundings can be predicted more accurately. .

  According to the noise prediction program of the fourth aspect, in addition to the effect produced by any one of the first to third aspects, the following effect is produced. For example, when this noise prediction program is executed on a smartphone or a portable computer with low processing capacity, if the noise amount prediction calculation is performed for many points around the construction site, the prediction calculation takes a long time and is inconvenient. Something can happen. On the other hand, according to the noise prediction program of claim 4, the construction noise prediction step and the structure noise prediction step calculate and predict the noise amount at the measurement position designated by the measurement position designation step. The prediction calculation can be performed pinpoint. Therefore, even in a computer with low processing capability, there is an effect that the noise amount prediction calculation can be completed in a short time.

(A) is a side view of the I-girder of the bridge, (b) is a cross-sectional view of the I-girder of the bridge along the Ib-Ib cross-sectional line shown in (a), and (c) is a cross-sectional view of the box girder of the bridge It is. It is a block diagram which shows the electric constitution of the information processing apparatus with which the noise prediction program which is one Embodiment of this invention is performed. (A) is a diagram schematically showing a sound source type table, (b) is a diagram schematically showing sound source data, and (c) is a diagram schematically showing a sound source size table for I digit. (D) is a diagram schematically showing a sound source size table for box girders. (A) is a figure showing a sound source information table typically, and (b) is a figure showing a prediction point table typically. It is a flowchart of a noise prediction main process. It is a flowchart of a sound source information input process. It is a flowchart of a noise level prediction process. It is an image figure which shows an example of the display screen displayed on LCD, (a) is a figure which shows the screen which displays a map image, (b) is a case where "construction object" is set to "ground" on the sound source setting screen (C) is a diagram showing a screen when “construction object” is set to “I digit of bridge” on the sound source setting screen, and (d) is “construction object” on the sound source setting screen. (E) is a diagram showing a screen showing an isoline diagram of a noise level of a prediction result.

  Hereinafter, preferred embodiments of the present invention will be described with reference to the accompanying drawings. In the present embodiment, a noise prediction program 23x for simulating construction noise when construction is performed on a steel structure or the like will be described.

  First, a bridge girder of a bridge will be described with reference to FIG. 1A is a side view of the I-girder 1 of the bridge, and FIG. 1B is a cross-sectional view of the I-girder 1 of the bridge along the Ib-Ib cross-sectional line shown in FIG. c) is a sectional view of the box girder 2 of the bridge. The I-girder 1 of the bridge includes a web 3 extending in the bridge axis direction (left-right direction in FIG. 1A), and an upper flange 4 and a lower flange 5 disposed above and below the web 3. The I girder 1 is extended by joining a plurality of I girder members with an after-mentioned joining plate 6. The length from the start point S to the end point E of I digit 1 is L, and the height is H.

  The attachment plate 6 is a member for joining the I girders, and is joined to the upper and lower surfaces of the flange and the side surface of the web at the joint portion of the I girders 1. The bolt 7 is a bolt for fixing the web 3, the upper flange 4, the lower flange 5, and the attachment plate 6 of the I girder 1, and a nut is fastened. A plurality of bolts 7 are attached to one attachment plate 6. Usually, a tool such as an impact wrench having a torque larger than human power is used to fix the attachment plate 6 and the bolt 7. The noise generated during the fixing operation of the bolt 7 includes noise generated from the tool and noise generated from the I-girder 1 itself as noise and vibration from the tool propagate to the I-girder 1 itself. That is, although the work place of the bolt 7 fixing work is one point, the generated noise is the noise generated by the tool as a “point sound source” and the I digit 1 is “line sound source” or “surface sound source”. There is a noise generated.

  FIG. 1B is a cross-sectional view of the I-girder 1 of the bridge at the Ib-Ib cross-sectional line. The cross section of the web 3 of the I girder 1, the upper flange 4 and the lower flange 5 is formed in an I shape. The thickness of the web 3 of the I girder 1 (hereinafter referred to as “plate thickness”) is D, and the height from the upper surface of the upper flange 4 to the lower surface of the lower flange 5 is H.

  FIG. 1C is a cross-sectional view of the bridge box girder 2. The box girder 2 is a bridge girder constructed on the bridge pier in the same bridge as the I girder 1 described above. The box girder 2 is also extended by joining a plurality of box girders with the attachment plate 6. The contact plate 6 is fixed with a plurality of bolts 7 by a tool. The box girder 2 is provided with an upper flange 10 and a lower flange 11 above and below a pair of left web 8 and right web 9 extending in the bridge axis direction, and the cross section is formed in a hollow box shape. The plate thickness of the left web 8 or the right web 9 is D, and the height from the upper surface of the upper flange 10 to the lower surface of the lower flange 11 is H. The width from the center of the left web 8 in the thickness direction to the center of the right web 9 in the thickness direction (hereinafter referred to as “web interval”) is W, and the length of the box girder 2 is L. Since the cross section of the box girder 2 is formed in a hollow box shape, the characteristics of sound and vibration propagating to the box girder 2 are different from those of the I girder 1 whose section is I-type. Therefore, in the noise prediction program of the present embodiment, which will be described later, the noise level is predicted by distinguishing between the I digit 1 and the box digit 2.

  Next, the noise prediction program 23x of the present embodiment that predicts the amount of propagation of noise generated at the construction site to the surroundings will be described. In the noise prediction program 23x, first, tools, construction machines, and the like (hereinafter referred to as “construction noise sources”) that are noise sources are arranged on the read map image. The noise and vibration from the construction noise source propagate to the construction target of the construction noise source (for example, I girder 1, box girder 2, etc.), and the construction target steel structure itself Is a noise source (hereinafter referred to as “structure noise source”), the structure noise source is arranged as a new noise source separate from the construction noise source. And the noise level from all the construction noise sources and structure noise sources is calculated for every set prediction point. Based on the calculated noise level for each predicted point, an isoline diagram (also called a contour diagram) of the noise level is created and displayed superimposed on the map image.

  FIG. 2 is a block diagram showing an electrical configuration of the information processing apparatus on which the noise prediction program 23x is executed. In the present embodiment, a personal computer (hereinafter referred to as “PC”) 20 is exemplified as the information processing apparatus. The PC 20 includes a CPU 21, a ROM 22, a flash memory 23, and a RAM 24, which are connected to an input / output port 26 via a bus line 25. An LCD 27, an input device 28, and an external input / output terminal 29 are connected to the input / output port 26, respectively.

  The CPU 21 is an arithmetic unit that controls each unit connected by the bus line 25. The ROM 22 is a non-rewritable nonvolatile memory that stores a control program, fixed value data, and the like that are executed by the CPU 21.

  The flash memory 23 is a rewritable nonvolatile memory. The flash memory 23 is provided with a noise prediction program 23x, a sound source type table 23a, an I digit sound source size table 23b, a box digit sound source size table 23c, and map image data 23d. When the noise prediction program 23x is executed by the CPU 21, the noise prediction main process of FIG. 5 is executed.

  The sound source type table 23a is a table in which the sound source shape and sound source data are stored for each noise source. The sound source type table 23a is described with reference to FIG. FIG. 3A is a diagram schematically showing the sound source type table 23a. The sound source type table 23a has sound source type data 23a1, sound source shape data 23a2, and sound source data 23a3, which are stored correspondingly. The sound source type data 23a1 stores the name (character string) of the sound source. In the present embodiment, names of tools and construction machines such as “impact wrench”, “low noise tool”, “bulldozer” and the like are stored. When obtaining a value of sound source shape data 23a2 or a value of sound source data 23a3, which will be described later, with reference to the sound source type table 23a, “No.” in which the desired sound source type matches the value of the sound source type data 23a1. Sound source shape data 23a2 or sound source data 23a3.

  The sound source shape data 23a2 stores the shape of the sound source corresponding to the sound source type. In the present embodiment, the value of the shape of the sound source stored in the sound source shape data 23a2 includes a “point sound source” that handles the sound source as a point, a “line sound source” that handles the sound source as a line having a length, and a length and height of the sound source. There are three types of "surface sound sources" that can be handled as surfaces with

  The sound source data 23a3 stores a noise level for each frequency band corresponding to the sound source type. FIG. 3B is a diagram schematically showing the sound source data 23a3. The sound source data 23a3 includes frequency band data 23a31 and noise level data 23a32, which are stored in association with each other. A frequency band is stored in the frequency band data 23a31, and a noise level in the frequency band is stored in the noise level data 23a32. 3B, the noise level data 23a32 when the frequency band data 23a31 is “50” stores the noise level “50.3 dB” when the frequency band of the sound source is 50 Hz. Also, the noise level “60.0 dB” when the frequency band of the sound source is 63 Hz is stored in the noise level data 23 a 32 when the frequency band data 23 a 31 is “63”. Thus, the noise level corresponding to the frequency band stored in the frequency band data 23a31 is stored in the noise level data 23a32.

  Returning to FIG. The sound source size table 23b for I digit is a table in which the sound source size when the I digit 1 of the bridge is a structure noise source is stored, and a table is provided for each plate thickness D of the web 3 of the I digit 1. FIG. 3C is a diagram schematically illustrating the I-digit sound source size table 23b. The I-digit sound source size table 23b includes bridge girder height data 23b1 and sound source size data 23b2, which are stored in association with each other. The bridge girder height data 23b1 is a value corresponding to the height H of the I girder 1. The sound source size data 23b2 stores the length of the sound source and the height of the sound source. In FIG. 3C, the sound source size data 23b2 corresponding to the bridge girder height data 23b1 value of “1.0” is “6.0, 0.0”. This indicates that the length of the sound source (sound source length data) is “6.0” and the height of the sound source (sound source height data) is “0.0”.

  In the sound source size data 23b2, the noise generated when the steel structure is a construction target (construction target) is measured, and the sound source size of the steel structure is determined based on the measured value. An inverse calculation of whether the sound source is a structure noise source is stored as sound source length data and sound source height data.

  In the present embodiment, in the sound source size data 23b2, when the length of the sound source is larger than “0.0” and the height of the sound source is “0.0”, the length of the sound source is effective and the height of the sound source is high. It is treated as no “line sound source”. On the other hand, when the length of the sound source and the height of the sound source are both greater than “0.0”, both the length of the sound source and the height of the sound source are treated as effective “surface sound sources”.

  In addition, the propagation of the sound of the I digit 1 varies depending on the plate thickness D. Therefore, FIG. 3C illustrates only the case where the plate thickness D is 6 mm, but a plurality of I-digit sound source size tables 23b are prepared for each plate thickness D of the web 3 of the I-digit 1. Therefore, when the sound source size data of I digit 1 is acquired, the sound source size table 23b for I digit corresponding to the plate thickness D is acquired, and the height H of the I digit 1 is matched in the sound source size table 23b for I digit. The value of the sound source size data 23b2 corresponding to the bridge girder height data 23b1 to be acquired is acquired.

  Returning to FIG. The sound source size table 23c for box girder is a table in which the sound source size when the box girder 2 of the bridge is a structure noise source is stored, and the table is provided for each plate thickness D of the left web 8 or right web 9 of the box girder 2. Is provided. Since the box girder 2 has a hollow box-like cross section, the sound propagation characteristics are different from those of the I girder 1. Therefore, a box digit sound source size table 23c different from the I digit sound source size table 23b is used.

  FIG. 3D is a diagram schematically showing the box girder sound source size table 23c. The box girder sound source size table 23c has bridge girder height data 23c1, web interval data 23c2, and sound source size data 23c3, which are stored in association with each other. The bridge girder height data 23c1 is a value corresponding to the height H of the box girder 2, and the web interval data 23c2 is a value corresponding to the web interval W. The sound source size data 23c3 stores sound source length data and sound source height data. Since the storage format of the sound source size data 23c2 is the same as that of the sound source size data 23b2 of the I digit sound source size table 23b, the description thereof is omitted.

  As with the sound source size data 23b2 of the I-digit sound source size table 23b, the sound source size data 23c2 is also measured based on the actual measurement values of noise generated when the steel structure is a construction target. A sound source length data and a sound source height data are obtained by inversely calculating what sound source size of the steel structure is the structure noise source.

  The propagation of the noise of the box girder 2 also varies depending on the plate thickness D as in the case of the I girder 1. Therefore, FIG. 3D illustrates only the case where the plate thickness D is 6 mm. However, a plurality of box girder sound source size tables 23c are prepared for each plate thickness D. Therefore, when the sound source size data of the box girder 2 is obtained, the box girder sound source size table 23c corresponding to the plate thickness D is obtained, and the height H of the box girder 2 and the bridge girder height data 23b1 match. The value of the sound source size data 23c3 in which the web interval W of the box girder 2 matches the web interval data 23c2 is acquired.

  Returning to FIG. The map image data 23d stores a map image of a construction site or the like to be displayed on the LCD 27 described later. In the present embodiment, a map image at an arbitrary location is read from the map image data 23d, a noise source and a predicted point are arranged on the map image, and a noise level at each predicted point is calculated. The map image data 23b may store a map image input from an external device via the external input / output terminal 29 or the like. For example, a map image may be acquired via the Internet and stored in the map image data 23d.

  The RAM 24 is a memory for the CPU 21 to store various work data, flags, and the like in a rewritable manner when the noise prediction program 23x and the like are executed. The sound source information table 24a, the prediction point table 24b, the construction target memory 24c, A bridge girder length memory 24d, a bridge girder height memory 24e, a plate thickness memory 24f, and a web interval memory 24g are provided.

  The sound source information table 24a is a table for storing sound source information (sound source type, sound source shape, sound source data, sound source size, sound source position) for each noise source arranged on the map image. The noise prediction program 23x of this embodiment calculates a noise level from all sound source information stored in the sound source information table 24a for each prediction point stored in a prediction point table 24b described later, and calculates the noise level as a predicted noise level. To synthesize.

  FIG. 4A is a diagram schematically showing the sound source information table 24a. The sound source information table 24a includes a sound source type memory 24a1, a sound source shape memory 24a2, a sound source memory 24a3, a sound source length memory 24a4, a sound source height memory 24a5, an X coordinate memory 24a6, a Y coordinate memory 24a7, and an angle memory. 24a8 and each is stored correspondingly. The number of elements of the sound source information table 24a is m (where m> 1), and the value of each memory of the sound source information table 24a is "(" when the power is turned on and immediately after the noise prediction main process of FIG. END) ". However, the value of each memory of the mth element is always “(END)”, indicating the end of the table. When sound source information is input by the user on the sound source setting screen 41 in FIGS. 8A to 8D, values are stored in each memory of the sound source information table 24a.

  The sound source type memory 24a1 stores the name (character string) of the sound source selected from the sound source type menu 42 of FIGS. 8B to 8D described later. 8C and 8D, “Bridge I Girder” or “Bridge Box Girder” is selected in the construction target menu 43, and the structure noise source is a sound source as a sound source different from the construction noise source. When added to the information table 24a, “I-digit of bridge” or “box girder of bridge” is stored.

  The sound source shape memory 24a2 stores the shape of the sound source of the noise source, that is, any one of the aforementioned “point sound source”, “line sound source”, and “surface sound source”. After the value of the sound source type memory 24a1 is set by the sound source type menu 42 of FIGS. 8B to 8D, the sound source type table 23a is searched with the value of the sound source type memory 24a1, and the value of the sound source type memory 24a1 is set. The matching value of the sound source shape data 23a2 corresponding to the sound source type data 23a1 is stored in the sound source shape memory 24a2. 8C and 8D, “Bridge I Girder” or “Bridge Box Girder” is selected in the construction target menu 43, and the structure noise source is a sound source as a sound source different from the construction noise source. When added to the information table 24a, a sound source shape corresponding to values in a sound source length memory 24a4 and a sound source height memory 24a5 described later is stored.

  The sound source memory 24a3 stores the noise level for each frequency band of the noise source. After the value of the sound source type memory 24a1 is set by the sound source type menu 42 of FIGS. 8B to 8D, the sound source type table 23a is searched with the value of the sound source type memory 24a1, and the value of the sound source type memory 24a1 is set. The matching value of the sound source data 23a3 corresponding to the sound source type data 23a1 is stored in the sound source memory 24a3. 8C and 8D, “Bridge I Girder” or “Bridge Box Girder” is selected in the construction target menu 43, and the structure noise source is a sound source as a sound source different from the construction noise source. Even when added to the information table 24a, the same sound source data as the sound source type set by the sound source type menu 42 of FIGS. 8B to 8D is stored in the sound source memory 24a3.

  The sound source length memory 24a4 is a memory for storing the length of the noise source. As will be described later, the sound source length memory 24a4 stores the length L of the I digit 1 or the box digit 2, or the length of the sound source acquired from the I digit sound source size table 23b or the box digit sound source size table 23c. The

  The sound source height memory 24a5 is a memory for storing the height of the noise source. As will be described later, the sound source height memory 24a5 stores the height H of the I digit 1 or the box digit 2, or the height of the sound source acquired from the I digit sound source size table 23b or the box digit sound source size table 23c. .

  The X-coordinate memory 24a6 and the Y-coordinate memory 24a7 are memories for storing the X-coordinate and Y-coordinate of the noise source, and the coordinate system has an origin (0, 0) at the lower left of the display screen 40 in FIG. . In FIG. 8A, the X coordinate and Y coordinate of the noise source start point S set by the user are stored in the X coordinate memory 24a6 and the Y coordinate memory 24a7, respectively.

  The angle memory 24a8 is a memory for storing the angle of a noise source, particularly a line sound source or a surface sound source. In FIG. 8A, the angle θ between the straight line connecting the start point S and end point E of the noise source set by the user and the X axis is stored.

  In the present embodiment, as shown in FIG. 4A, the number of elements stored in the sound source information table 24a is No. 1-No. The number is m up to m (substantially m-1 because the terminal is included). However, the number is not limited to this, and the number of noise sources may be 100 or 1000 depending on the number of noise sources. May be.

Returning to FIG. The predicted point table 24b is a table that stores the coordinates and the calculated noise level for each predicted point arranged on the map image. FIG. 4B schematically shows the predicted point table 24b. It is. The predicted point table 24b has an X coordinate memory 24b1, a Y coordinate memory 24b2, and a predicted noise level memory 24b3, which are stored correspondingly. When the power is turned on and immediately after the noise prediction main process of FIG. 5 is executed, the values of the memories in the prediction point table 24b are initialized with “(END)”. The number of elements in the predicted point table 24b is n. When the power is turned on and immediately after the main noise prediction process of FIG. 5 is executed, the values of the memories in the predicted point table 24b are initialized with “(END)”. The However, the value of each memory of the nth element (where n> 1) is always “(END)”, indicating the end of the table. The X coordinate memory 24b1 and the Y coordinate memory 24b2 are memories that store predicted points. In the coordinate system, the lower left of the display screen 40 in FIG. 8 is the origin (0, 0). In the present embodiment, the predicted points are set at equal intervals by “50.0” in both the X coordinate direction and the Y coordinate direction.

  The predicted noise level memory 24b3 stores the noise level calculated for each predicted point. In the present embodiment, for each predicted point, the noise level attenuation calculation is performed for all frequency bands for all noise sources stored in the sound source information table 24a, and the calculation results are combined to generate predicted noise. Store in the level memory 24b3.

  In the present embodiment, the number of elements stored in the predicted point table 24b is No. 1-No. The number is n up to n (substantially n-1 because the terminal is included). However, the present invention is not limited to this, and the number of elements in the prediction point table 24b may be changed according to the noise level prediction accuracy. Good. Further, although the predicted points are set at equal intervals of “50.0” in both the X coordinate direction and the Y coordinate direction, the present invention is not limited to this, and the interval between predicted points is not necessarily limited to this, depending on the required prediction accuracy. May be increased or decreased. In addition, the predicted point may be arbitrarily set by the user.

  Returning to FIG. The construction target memory 24c is a memory that stores a construction target set by the user. In this embodiment, three types of values “ground”, “bridge I-girder”, and “bridge box girder” are prepared as values to be executed. When the power is turned on and immediately after the noise prediction main process of FIG. 5 is executed, the value of the construction target memory 24c is initialized to “ground”, and is set by the user in the construction target menu 43 of FIGS. The value of the selected construction target is stored in the construction target memory 24c.

  The bridge girder length memory 24d is a memory for storing the length L (see FIG. 1A) of the I girder 1 or the box girder 2. The value of the bridge girder length memory 24d is initialized with “0.0” at power-on and immediately after the noise prediction main process of FIG. 5 is executed. In FIG. 8A, the start point S set by the user is initialized. ~ Distance to end point E is set. The distance from the start point S to the end point E is the actual length L of the I girder 1 or the box girder 2 to be constructed.

  The bridge girder height memory 24e is a memory for storing the height H (see FIG. 1) of the I girder 1 or the box girder 2. The value of the bridge girder height memory 24e is initialized with “0.0” at the time of power-on and immediately after the noise prediction main processing of FIG. 5 is executed, and the height menu 44 of FIGS. The actual height H of the I girder 1 or box girder 2 selected by the user is stored in the bridge girder height memory 24e.

  The plate thickness memory 24f is a memory for storing the plate thickness D (see FIGS. 1B and 1C) of the I digit 1 or the box digit 2 set by the user. When the power is turned on and immediately after the noise prediction main process of FIG. 5 is executed, the value of the plate thickness memory 24f is initialized to “0.0”, and the plate thickness menu 45 shown in FIGS. The actual plate thickness D of the I girder 1 or the box girder 2 selected by the user is stored in the bridge girder height memory 24e.

  The web interval memory 24g is a memory for storing the web interval W of the box girder 2 (see FIG. 1C). When the power is turned on and immediately after the noise prediction main process of FIG. 5 is executed, the value of the web interval memory 24g is initialized with “0.0”, and the web interval menu 46 in FIGS. The actual web interval W of the I digit 1 or the box digit 2 selected by the user is stored in the web interval memory 24g.

  The LCD 27 is a display for displaying the display screen 40 in FIGS. The input device 28 includes a keyboard and a mouse for inputting instructions and various information from the user to the PC 20, and inputs a noise source position, options, and the like on the display screen 40.

  The external input / output terminal 29 is an interface for transmitting and receiving data by connecting the PC 20 and another computer via an Internet line or the like. The PC 20 receives the sound source type table, the sound source size table, and the map image created by another computer via the external input / output terminal 29, and the sound source type table 23a, the I digit sound source size table 23b, and the box digit use, respectively. The sound source size table 23c and the map image data 23d are stored. As a result, when the number of sound source types increases, or when the sound source size of the I girder 1 and box girder 2 is changed due to changes in the material and structure of the I girder 1 and box girder 2, the new construction site On the other hand, when noise prediction is performed, these changes are made by rewriting the sound source type table 23a, the I digit sound source size table 23b, the box digit sound source size table 23c, and the map image data 23d via the external input / output terminal 29. Can be flexibly dealt with.

  Next, the noise prediction program 23x executed by the CPU 21 of the PC 20 will be described with reference to FIGS. First, the display screen 40 displayed on the LCD 27 will be described with reference to FIG. FIG. 8A is a diagram showing a screen for displaying a map image, and FIG. 8B is a diagram showing a screen when the “construction target” is “ground” on the sound source setting screen 41, and FIG. FIG. 8C is a diagram showing a screen when the “construction object” is “bridge I-digit” on the sound source setting screen 41, and FIG. 8D is a diagram showing the construction object “bridge box girder on the sound source setting screen 41. FIG. 8E is a diagram showing a screen representing an isoline diagram of the noise level of the prediction result.

  FIG. 8A is a diagram showing a screen for displaying a map image. After the processes of S1 and S2 in the noise prediction main process of FIG. 5 are executed, that is, a map image of a construction site or the like is displayed as map image data. The map image acquired from 23d is displayed after the scale of the map image is set so as to match the area desired by the user. In the display screen 40, the X-axis direction is the left-right direction on the display screen 40, and the Y-axis direction is the vertical direction. The lower left of the display screen 40 is the origin (0, 0).

  The user uses the input device 28 to set the noise source for the map image displayed on the display screen 40. When setting a point sound source such as a bulldozer or a shovel car, the sound source setting screen 41 of FIG. 8B is displayed on the map image by selecting a point on the map image with the input device 28. In this case, the start point S and the end point E have the same coordinates.

  On the other hand, in the case of a sound source or structure having a length such as the I digit 1 and the box girder 2, by selecting the start point S and the end point E with the input device 28, the (c), (c) in FIG. The sound source setting screen 41 of d) is displayed on the map image. The start point S, the angle θ, and the length L are values stored in the X coordinate memory 24a6, the Y coordinate memory 24a7, the angle memory 24a8, and the bridge girder length memory 24d of the sound source information table 24a, respectively.

  Further, by selecting a sound source that has already been arranged with the input device 28, the sound source setting screen 41 of FIGS. 8B to 8D is displayed, and the sound source information can be changed or deleted.

  That is, in the display screen 40 on which the map image of FIG. 8A is displayed, when the input device 28 is selected, the display shifts to the sound source setting screen 41 of FIGS. 8B to 8D. The sound source setting screen 41 is a screen for setting sound source information, and the setting items of the sound source displayed by “construction target” change. FIG. 8B shows a sound source setting screen 41 when “construction target” is “ground”. In FIG. 8B, a sound source type menu 42, a construction target menu 43, an OK key 50, a delete key 51, and an input completion key 52 are displayed.

  The sound source type menu 42 is a menu for selecting a sound source type, and by selecting the sound source type menu 42 with the input device 28, the sound source type data 23a1 of the sound source type table 23a in FIG. The name is displayed as an option.

  The construction target menu 43 is a menu for selecting a construction target in the construction. When the sound source type menu 42 is selected by the input device 28, "ground", "bridge I-girder", and "bridge box girder" are displayed. Displayed as an option. Thereby, the construction object is selected by the user. In the present embodiment, when the construction target is “ground”, noise prediction is possible only by setting the sound source type, and other sound source setting items such as a height menu 44 described later are not displayed.

  The OK key 50 is a key for confirming the sound source information set on the sound source setting screen 41 and shifting the display to the display screen 40 (FIG. 8A) on which a map image is displayed. When the OK key 50 is selected by the input device 28, the sound source information input process of S12 and S13 in FIG. 6 is executed, and the sound source information is added to the sound source type table 23a. When the sound source information is already registered in the sound source type table 23a, the sound source information is updated to the sound source information set on the sound source setting screen 41.

  The delete key 51 is a key for deleting the sound source information displayed on the sound source setting screen 41 and shifting the display to the display screen 40 (FIG. 8A) on which the map image is displayed. When the delete key 51 is selected by the input device 28, the sound source information corresponding to the sound source information displayed on the sound source setting screen 41 is deleted from the sound source type table 23a of FIG.

  The input completion key 52 is a key for completing the input of all the sound source information and shifting the display to a screen representing an isoline diagram of the noise level of the prediction result of FIG. When the input completion key 52 is selected by the input device 28, “Yes” is obtained in the determination process of S33 of the sound source information input process of FIG. 6, and S4 in FIG. 5 (that is, the noise level prediction process of FIG. 7) and S5. Processing is executed. As a result, a screen representing an isoline diagram of the noise level of the prediction result of FIG.

  FIG. 8C is a diagram showing a screen when the “construction target” is “bridge I-digit” on the sound source setting screen 41. In addition to the sound source type menu 42, the construction target menu 43, the OK key 50, the delete key 51, and the input completion key 52, a height menu 44 and a plate thickness menu 45 are displayed.

  The height menu 44 is a menu for selecting the height H of the I digit 1, and when the height menu 44 is selected by the input device 28, the bridge digit of the sound source size table 23b1 for the I digit in FIG. The height H stored in the height data 23b1 is displayed as an option.

  The plate thickness menu 45 is a menu for selecting the plate thickness D of the I digit 1, and when the plate thickness menu 45 is selected by the input device 28, the sound source size table 23b for the I digit of FIG. The value of the thickness D to be displayed is displayed.

  FIG. 8D is a diagram showing a screen when the “construction target” is “bridge box girder” on the sound source setting screen 41. In addition to the sound source type menu 42, the construction target menu 43, the OK key 50, the delete key 51, the input completion key 52, the height menu 44, and the plate thickness menu 45, a web interval menu 46 is displayed. .

  The web interval menu 46 is a menu for selecting the web interval W of the box girder 2, and when the web interval menu 46 is selected by the input device 28, the web of the sound source size table 23c for box girder of FIG. A value stored in the interval data 23c2 is displayed.

  In the height menu 44, values stored in the bridge girder height data 23c1 of the box girder sound source size table 23c of FIG. 3D are displayed as options, and in the plate thickness menu 45, the box girder sound source size table 23c. Is displayed.

  When the shape (i.e., I girder, box girder, etc.) and size (i.e., length, height, etc.) and size of the steel structure to be constructed are approximated, the length and height of the structure noise source are also approximated. From this, in the noise prediction program 23x of the present embodiment, in the selection items such as the height menu 44 in FIGS. 8C and 8D, the size approximated to the user is used instead of the actual steel structure size. By making the selection, the convenience is improved. Also, according to the values selected in the height menu 44, the plate thickness menu 45, and the web interval menu 46, the sound source size data is acquired from the I digit sound source size table 23b and the box digit sound source size table 23c. The program is simplified by predicting the noise level from the sound source size data.

  FIG. 8E is a diagram showing a screen representing a noise prediction result. On the screen representing the noise prediction result, an isoline 47 is superimposed on the map image. The contour line 47 is a line obtained by connecting predicted points having the same predicted noise level value with a line in the predicted noise level calculated for each predicted point in the noise level prediction process (see S4 and FIG. 7). A plurality of ellipses indicated by two-dot chain lines in FIG. By creating an isoline map of the noise level and overlaying the isoline map on the map image, the distribution of the noise level can be grasped at a glance, and a place where noise countermeasures are required can be quickly identified.

  Next, the noise prediction program 23x executed by the CPU 21 of the PC 20 will be described with reference to FIG. FIG. 5 is a flowchart of the noise prediction main process of the noise prediction program 23x. The noise prediction main process displays a map image, places a noise source on the map image, performs noise prediction, and displays an isoline map of the noise level obtained as a result of the prediction superimposed on the map image. . The noise prediction main process is executed when there is an execution instruction from the user after the PC 20 is turned on.

  First, a map image is acquired (S1), and the scale of the acquired map image is set (S2). Specifically, a map image of a construction site or the like is acquired from the map image data 23d, and the scale of the map image is set so that the acquired map image matches the area desired by the user. Thereafter, a sound source information input process is executed (S3).

  FIG. 6 is a flowchart of the sound source information input process (S3). The sound source information input process is a process of storing the sound source information input from the user on the sound source setting screen 41 and the like of FIG. 8 in the sound source information table 24a after processing according to the sound source type and the construction target. First, the storage position of the sound source information table 24a is moved to the top (S10). In the sound source information input process, since the sound source information is stored in the sound source information table 24a in the order in which the sound source information is input by the user, immediately after the start of the execution of the sound source information input process, the storage position of the sound source information table 24a is set at the head (that is, It moves to the position of “No. 1” in the sound source information table 24a in FIG.

  After the process of S10, sound source information is input on the display screen 40 (S11). Specifically, the user first sets a point where a noise source is arranged on the display screen 40 in FIG. In the case of the I-girder 1 and the box girder 2 of the bridge, a start point S and an end point E are set. Thereafter, in FIGS. 8B to 8D, the sound source, construction object, height, plate thickness, and web interval are set as the sound source type menu 42, construction object menu 43, height menu 44, plate thickness menu 45, web interval, respectively. Select from menu 46.

  After the process of S11, the input sound source information is acquired and stored in the sound source information table 24a (S12). Specifically, the X coordinate and Y coordinate of the start point S designated by the user in S10 are stored in the X coordinate memory 24a6 and the Y coordinate memory 24a7 of the sound source information table 24a. The distance between the start point S and the end point E (that is, the length L of the I-girder 1 or the box girder 2) is stored in the bridge girder length memory 24d. In the case of a sound source handled as a point sound source, such as a bulldozer, for example, when the start point S and the end point E have substantially the same coordinates, “0” is stored in the bridge girder length memory 24d. Further, the angle θ between the straight line connecting the start point S and the end point E and the X axis is stored in the angle memory 24a8.

  The values set in the sound source type menu 42, the construction target menu 43, the height menu 44, the plate thickness menu 45, and the web interval menu 46 in FIGS. 8B to 8D are respectively stored in the sound source type memory of the sound source information table 24a. 24a1, construction object memory 24c, bridge girder height memory 24e, plate thickness memory 24f, and web interval memory 24g.

  After the process of S12, the sound source type table 23a is searched with the value of the sound source type memory 24a1 of the sound source information table 24a, and the corresponding sound source shape data 23a2 and sound source data 23a3 are respectively stored in the sound source shape memory 24a2 of the sound source information table 24a. The data is stored in the sound source memory 24a3 (S13).

  After the process of S13, the value of the construction target memory 24c is confirmed (S14). When the value of the construction target memory 24c is “bridge I digit” or “bridge box digit” (S14: “bridge I digit” or “bridge box digit”), the storage location of the sound source information table 24a is set to 1. (S15). Specifically, in the sound source information table 24a of FIG. 4A, the position advanced by one from “No.” corresponding to the current storage position (for example, “No. 1” to “No. 2”). The next storage position. When the construction target is “Bridge I-girder” or “Bridge box girder”, in addition to noise generated from construction noise sources such as impact wrench set as a sound source, noise and vibration from construction noise sources are I-digits. By propagating to 1 or the box girder 2, the I girder 1 or the box girder 2 itself becomes a structure noise source and noise is generated. Therefore, in the present embodiment, the structure noise source is arranged as a sound source different from the construction noise source, and the noise level is predicted. Therefore, the storage position of the sound source information table 24a is advanced by one, and the structure noise source is stored in the sound source information table 24a as a new sound source. As a result, structural noise sources that have different sound source characteristics (especially the shape of the sound source) from the construction noise sources can be set separately from the construction noise sources, so that construction noise simulations can be performed even when working on steel structures. It can be done more accurately.

  After the processing of S15, the input sound source information is acquired and stored in the sound source information table 24a (S16), the sound source type table 23a is searched with the value of the sound source type memory 24a1 of the sound source information table 24a, and the corresponding sound source shape is obtained. The data 23a2 and the sound source data 23a3 are stored in the sound source shape memory 24a2 and the sound source memory 24a3 of the sound source information table 24a, respectively (S17). Since the processing content of S15 and S16 is the same as S12 and S13, detailed description is abbreviate | omitted. In the present embodiment, the structure noise source is common to the construction noise source that is the source, the position, the length of the sound source, the height of the sound source, and the sound source data. Therefore, the sound source information already input in the processing of S11 is used. The sound source information acquired again is stored in the sound source information table 24a, construction target memory 24c, bridge girder length memory 24d, bridge girder height memory 24e, plate thickness memory 24f, and web interval memory 24g. In the processing of S18 to S31 described later, the value of the sound source information table 24a is changed to sound source information corresponding to the structure noise source.

  After the process of S17, the value of the construction target memory 24c is confirmed (S18). When the value of the construction target memory 24c is “I digit of the bridge” (S18: “I digit of the bridge”), the sound source size table 23b for I digit is set by the value of the plate thickness memory 24f and the value of the bridge girder height memory 24e. The sound source length data and the sound source height data of the corresponding sound source size data 23b2 are stored in the sound source length memory 24a4 and the sound source height memory 24a5 of the sound source information table 24a, respectively (S19). Specifically, the I digit sound source size table 23b corresponding to the value of the plate thickness memory 24f is acquired from the I digit sound source size table 23b stored for each plate thickness D. The sound source size table 23b for I digit is searched with the value of the bridge digit height memory 24e, the corresponding sound source size data 23b2 is obtained, and the sound source length data and the sound source height data of the sound source size data 23b2 are respectively obtained as sound source information. The sound source length memory 24a4 and the sound source height memory 24a5 of the table 24a are stored.

  As described above, for example, values of “6.0, 0.0” are stored in the sound source size data 23b2 of the I digit sound source size table 23b. Among these, “6.0” is sound source length data, and “0.0” is sound source height data. In this way, the sound source size data stored for each plate thickness and bridge girder height is acquired, and the acquired sound source size data is used for noise prediction. After the process of S19, the name (character string) of the sound source “bridge I digit” is stored in the value of the sound source type memory 24a1 of the sound source information table 24a (S20).

  On the other hand, in the determination process of S18, when the value of the construction target memory 24c is “bridge box girder” (S18: “bridge box girder”), the value of the plate thickness memory 24f, the value of the bridge girder height memory 24e, and the web interval The sound source size table 23c for box girder is searched with the value of the memory 24g, and the sound source length data and the sound source height data of the sound source size data 23c3 of the corresponding sound source size table 23c are stored in the sound source length memory 24a4 of the sound source information table 24a. Each of them is stored in the sound source height memory 24a5 (S21). Specifically, among the box girder sound source size table 23c stored for each plate thickness D, the box girder sound source size table 23c corresponding to the value of the plate thickness memory 24f is acquired. The sound source size table 23c for box girder is searched with the value of the bridge girder height memory 24e and the value of the web interval memory 24g, the corresponding sound source size data 23c3 is obtained, and the sound source length data and the sound source height data are respectively obtained. The sound source information table 24a stores the sound source length memory 24a4 and the sound source height memory 24a5, respectively. After the processing of S21, the name (character string) of the sound source “bridge box girder” is stored in the value of the sound source type memory 24a1 of the sound source information table 24a (S22).

  After the processing of S20 and S22, it is confirmed whether the value of the sound source length memory 24a4 of the sound source information table 24a is larger than the value of the bridge girder length memory 24d (S23). When the value of the sound source length memory 24a4 is larger than the value of the bridge girder length memory 24d (S23: Yes), the value of the bridge girder length memory 24d is stored in the sound source length memory 24a4 (S24). On the other hand, when the value of the sound source length memory 24a4 is equal to or less than the value of the bridge girder length memory 24d (S23: No), the process of S24 is skipped.

  After the processes of S23 and S24, it is confirmed whether the value of the sound source height memory 24a5 of the sound source information table 24a is larger than the value of the bridge girder height memory 24e (S25). When the value of the sound source height memory 24a5 is larger than the value of the bridge girder height memory 24e (S25: Yes), the value of the bridge girder height memory 24e is stored in the sound source height memory 24a5 (S26). On the other hand, when the value of the sound source height memory 24a5 is equal to or less than the value of the bridge girder height memory 24e (S25: No), the process of S26 is skipped.

  As described above, since the sound source length data and the sound source height data based on the actual measurement values are stored in the I digit sound source size table 23b and the box digit sound source size table 23c, the I digit set is set on the map image. Sound source length data and sound source height data larger than the length L and height H of the digit 1 and box girder 2 may be stored. Therefore, the values of the sound source length memory 24a4 and the sound source height memory 24a5 of the sound source information table 24a obtained from the I digit sound source size table 23b and the box digit sound source size table 23c are the bridge girder lengths set on the display screen 40. When the values are larger than the values in the memory 24d and the bridge girder height memory 24e, the values are reduced to the values in the bridge girder length memory 24d and the bridge girder height memory 24e, respectively. As a result, the structure noise source having a larger size is not set based on the length L and height H of the I girder 1 and the box girder 2, and the noise level is calculated based on the size of the structure noise source. This makes it possible to calculate an accurate noise level.

  After the processing of S25 and S26, it is confirmed whether the value of the sound source length memory 24a4 of the sound source information table 24a is larger than 0 and the value of the sound source height memory 24a5 is larger than 0 (S27). When the value of the sound source length memory 24a4 is larger than 0 and the value of the sound source height memory 24a5 is larger than 0 (S27: Yes), “surface sound source” is stored in the sound source shape memory 24a2 of the sound source information table 24a. (S28). In the present embodiment, since the length of the sound source and the height of the sound source are greater than 0, that is, both the length of the noise source and the height of the noise source are effective, they are treated as “surface sound sources”.

  When the value of the sound source length memory 24a4 of the sound source information table 24a is larger than 0 and the value of the sound source height memory 24a5 is not larger than 0 (S27: No), the value of the sound source length memory 24a4 is larger than 0. (S29). When the value of the sound source length memory 24a4 is larger than 0 (S29: Yes), “line sound source” is stored in the sound source shape memory 24a2 of the sound source information table 24a (S30). While the height of the sound source is 0, the length of the sound source is greater than 0, that is, the length of the noise source is effective, so that it is treated as a “line sound source”.

  When the value of the sound source length memory 24a4 is 0 (S29: No), “point sound source” is stored in the sound source shape memory 24a2 of the sound source information table 24a (S31). The height of the sound source and the length of the sound source are 0, that is, the height of the sound source and the length of the sound source are not effective.

  In the determination process of S14, when the value of the construction target memory 24c is other than “bridge I-digit” or “bridge box girder” (S14: “Other”), the sound source information corresponding to the value of the construction target memory 24c Is set (S32). In the present embodiment, “ground” is defined as a construction object other than “bridge I girder” and “bridge box girder”. When the construction target is “ground”, it is not necessary to set the above-described structure noise source in the sound source information table 24a. The construction target is not necessarily limited to the three types of “bridge I-girder”, “bridge box girder”, and “ground”, and can be set as appropriate according to the construction target at the construction site. The process of S32 performed according to the object can also be set as appropriate.

  After the processes of S28, S30, S31, and S32, it is confirmed whether or not the input of the sound source information by the user is completed (S33). Specifically, it is confirmed whether the input completion key 52 in FIGS. 8B to 8D is selected. When the input of the sound source information by the user is not completed (S33: No), the storage position of the sound source information table 24a is advanced by one (S34). That is, in preparation for input of sound source information from the next user, a position advanced by one from “No.” corresponding to the current storage position in the sound source information table 24a of FIG. To do. After the process of S34, the process of S11 is performed. On the other hand, when the input of the sound source information by the user is completed (S33: Yes), this process ends, and the process returns to the noise prediction main process in FIG.

  Returning to FIG. After the sound source information input process of S3, a noise level prediction process is executed (S4). FIG. 7 is a flowchart of the noise level prediction process (S4). In the noise level prediction process, a prediction point for predicting the noise level is set on the map image, and the noise level is predicted for all construction noise sources or structural noise sources stored in the sound source information table 24a for each prediction point. This is a process for calculating the predicted noise level.

  In the noise level prediction processing of FIG. 7, first, prediction points at equal intervals are set on the map image and stored in the prediction point table 24b (S41). In the present embodiment, predicted points are set at equal intervals of “50.0” for both the X coordinate and the Y coordinate, and are stored in the X coordinate memory 24b1 and the Y coordinate memory 24b2 of the predicted point table 24b, respectively.

  After the process of S41, first, in order to calculate the noise level sequentially from the head element of the predicted point table 24b, the storage position of the predicted point table 24b is moved to the head (S42). Specifically, it moves to the position of “No. 1” in the predicted point table 24b in FIG. Next, since the calculation of the noise level for each predicted point is also performed in the order of the sound source information stored in the sound source information table 24a, the acquisition position of the sound source information table 24a is also moved to the top (S43). Specifically, it moves to the position of “No. 1” in the sound source information table 24a in FIG.

  After the process of S43, the value of the sound source shape memory 24a2 of the sound source information table 24a is confirmed. When the value of the sound source shape memory 24a2 is “point sound source” (S44: “point sound source”), the attenuation of the point sound source is calculated from the value of the sound source information table 24a and the value of the predicted point table 24b (S45).

  In the present embodiment, the noise level at the predicted point is calculated by attenuation calculation to determine how much noise generated from the noise source is attenuated and observed at the predicted point. The attenuation calculation is performed by a known calculation formula called “attenuation calculation formula” described later. In the present embodiment, the noise level data 23a32 stored in the sound source information table 24a stores the noise level of the noise source for each frequency band data 23a31. Therefore, the noise level at the predicted point is calculated by performing attenuation calculation of the noise level for all frequency bands for all noise sources and combining the calculation results. The “attenuation calculation formula” varies depending on the sound source shape (point sound source, line sound source, surface sound source).

  In S44, when the value of the sound source shape memory 24a2 is “line sound source” (S44: “line sound source”), attenuation of the line sound source is calculated from the value of the sound source information table 24a and the value of the predicted point table 24b (S46). . In S44, when the value of the sound source shape memory 24a2 is “surface sound source” (S44: “surface sound source”), attenuation of the surface sound source is calculated from the value of the sound source information table 24a and the value of the predicted point table 24b ( S47).

Note that a well-known equation is used for the attenuation calculation formula of the point sound source, the line sound source and the surface sound source. The following numerical formula 1 is given as a point sound source attenuation calculation formula. Here, Lp is the noise level at the predicted point (that is, a value to be combined with the predicted noise level memory 24b3 of the predicted point table 24b), and Lw is the noise level of the noise source (that is, the sound source memory 24a3 of the sound source information table 24a). R is the distance between the noise source and the predicted point (ie, the X coordinate memory 24a6 and Y coordinate memory 24a7 of the sound source information table 24a, and the X coordinate memory 24b1 and Y coordinate memory 24b2 of the predicted point table 24b). Distance).

The following formula 2 is given as an attenuation calculation formula for a linear sound source (finite length). Here, r0 is the distance between the predicted point and the noise source, φ is the angle formed by the predicted point and the start point S and end point E of the noise source, and the value of the X coordinate memory 24a6 of the sound source information table 24a and Y It is calculated from the value in the coordinate memory 24a7 and the value in the angle memory 24a8. Lw and Lp are the same values as the point sound source attenuation calculation formula.

数式３の簡略化のため、ｘ１＝０、ｙ１＝０、ｘ２＝ａ、ｙ２＝ｂとし、垂直距離ｄを単位として積分だけを取り出したψを、以下の数式４で算出する。ここで、ａ，ｂは、それぞれ面音源の長さ、高さ（即ち、音源長さメモリ２４ａ４の値、音源高メモリ２４ａ５の値）である。

これより、面音源の予測地点での騒音レベルＬｐは、以下の数式５で算出する。ここで、Ｌｗは点音源及び面音源の減衰計算式と同一の値である。

As an attenuation calculation formula of the surface sound source, the following formula 3 is given. First, the output per unit area of the noise source is W, the speed of sound is c, the vertical distance between the prediction point and the noise source is d, the range of the longitudinal direction of the surface sound source is x1 to x2, the range of the height direction of the surface sound source Is y1 to y2, the acoustic energy density E at the predicted point is expressed by the following Equation 3.

In order to simplify Expression 3, x1 = 0, y1 = 0, x2 = a, y2 = b, and ψ obtained by extracting only the integral with the vertical distance d as a unit is calculated by Expression 4 below. Here, a and b are the length and height of the surface sound source (that is, the value of the sound source length memory 24a4 and the value of the sound source height memory 24a5), respectively.

Accordingly, the noise level Lp at the predicted point of the surface sound source is calculated by the following formula 5. Here, Lw is the same value as the attenuation calculation formula of the point sound source and the surface sound source.

  After the processes of S45, S46, and S47, it is confirmed whether there is a wall between the predicted point and the noise source (S48). When there is a wall between the predicted point and the noise source (S48: Yes), attenuation calculation by the wall is performed (S49). On the other hand, when there is no wall between the predicted point and the noise source (S48: No), the process of S49 is skipped. In addition, a well-known calculation formula is used for attenuation calculation by a wall.

  After the processing of S48 and S49, the result of attenuation calculation by S45, S46, S47 and S49 is synthesized in the predicted noise level memory 24b3 of the predicted point table 24b (S50).

  After the process of S50, the acquisition position of the sound source information table 24a is advanced by one (S51). Specifically, in the sound source information table 24a of FIG. 4A, a position advanced by one from “No.” corresponding to the current acquisition position is set as the next acquisition position. After the process of S51, it is confirmed whether or not the acquisition position of the sound source information table 24a is the end (S52). Specifically, if any value in each memory of the sound source information table 24a is “(END)”, it is determined that the acquisition position of the sound source information table 24a is the end. When the acquisition position of the sound source information table 24a is not the end (S52: No), the process returns to S44. On the other hand, when the acquisition position of the sound source information table 24a is the end (S52: Yes), the storage position of the prediction point table 24b is advanced by one (S53). Specifically, in the prediction point table 24b of FIG. 4B, a position advanced by one from “No.” corresponding to the current storage position is set as the next storage position.

  After the process of S53, it is confirmed whether or not the storage position of the predicted point table 24b is the end (S54). Specifically, when one of the memories in the predicted point table 24b is “(END)”, it is determined that the storage position of the predicted point table 24b is the end. When the storage position of the predicted point table 24b is not the end (S54: No), the process returns to S43. On the other hand, when the storage position of the prediction point table 24b is the terminal (S54: Yes), this process is terminated and the process returns to the noise prediction main process in FIG.

  Returning to FIG. After the noise level prediction process of S4, an isoline diagram of the noise level is created from the value of the predicted noise level memory 24b3 of the predicted point table 24b, synthesized with a map image, and output to the LCD 27 (S5). As a result, a screen representing the noise prediction result as shown in FIG. Note that a known method is used to create an isoline diagram.

  As described above, the noise prediction program according to the present embodiment has a new construction target for construction in addition to noise sources (that is, construction noise sources) such as a plurality of tools and construction machines arranged on a map image. When it becomes a noise source (that is, a structure noise source), the structure noise source is arranged as a noise source different from the construction noise source. Predicted points set at regular intervals are arranged on the map image, and the noise level is predicted for all of the plurality of construction noise sources and structural noise sources for each predicted point, and the results are The value diagram is displayed superimposed on the map image. In this way, in addition to the amount of noise generated from the construction noise source to the surroundings, the amount of noise generated from the structure noise source when the steel structure to be constructed becomes the noise source. The amount of noise generated by combining these parameters is output as construction noise. Therefore, it is possible to more accurately simulate the construction noise even in the construction for the steel structure or the like.

  Although the present invention has been described based on the embodiments, the present invention is not limited to the above-described embodiments, and various improvements and modifications can be easily made without departing from the spirit of the present invention. Can be inferred.

  In the present embodiment, it is assumed that the noise prediction program predicts noise from bridge works, particularly I girder 1 and box girder 2. However, it is not necessarily limited to this. For example, steel frame work, steel tower work, oil / gas storage tank installation work, outdoor advertising work, gate construction work such as lock gates and sluice gates, etc. It may be a target of noise prediction. In this case, the noise generated when these steel structures are the target of construction (construction target) is measured, and based on the measured values, the noise level of the structural noise source of the steel structure is determined. Is calculated, and a table corresponding to the sound source length data and the sound source height data stored therein, that is, the I digit sound source size table 23b in the I digit 1 is created. Then, in the process of S32 of the sound source information input process (see FIG. 6), the sound source size of the steel structure is acquired with reference to this table, and used for the calculation of the noise level in the noise level prediction process (see FIG. 7).

  In the present embodiment, the noise prediction program 23x is stored in the flash memory 23 of the PC 20. However, the present invention is not necessarily limited to this. For example, the present invention may be applied to a dedicated device that stores the noise prediction program 23x in the ROM 22 and executes only the noise prediction program 23x.

  In this embodiment, the information processing apparatus that can use the noise prediction program 23x is the PC 20. However, the present invention is not necessarily limited to this. For example, the mobile terminal may be an information processing apparatus that can use the noise prediction program. In this case, a touch panel may be used as the input device 28 instead of a mouse or a keyboard. Thereby, when the noise source is rearranged, the prediction of the noise level based on the position of the noise source can be performed on the spot. Therefore, it is possible to quickly arrange the noise sources in consideration of the propagation of noise to the surroundings.

  In the present embodiment, the noise prediction program 23x performs noise amount prediction calculation for a number of points around the construction site, and synthesizes an isoline diagram of the output result into a map image and outputs the map image. However, the present invention is not necessarily limited to this. For example, an arbitrary point of the map image may be designated by the input device 28, and the noise level at the point may be displayed as a numerical value “XX dB”. . For example, when the noise prediction program 23x is executed on a smartphone or a portable tablet computer having a low processing capacity, in order to create an isoline diagram, the noise amount prediction calculation is performed for a plurality of points around the construction site. The prediction calculation takes a long time. In such a case, an arbitrary point of the map image may be designated by the input device 28, and only the noise level at that point may be predicted and calculated. According to this configuration, since the noise amount prediction calculation can be performed pinpointly, the noise amount prediction calculation can be completed in a short time even when the noise prediction program 23x is executed on a computer with low processing capability. Can do.

  In the present embodiment, the PC 20 and another computer are connected via the external input / output terminal 29 to transmit / receive data. However, the present invention is not necessarily limited to this. For example, the PC 20 may be connected to another computer via a LAN or a wireless LAN, or may be connected via the Internet. In this case, a network interface or a wireless LAN interface is connected to the input / output port 26 of the PC 20 instead of the external input / output terminal 29.

23x Noise prediction program 23a Sound source type table (construction noise source storage means)
24a Sound source information table (structure noise source storage means)
S1 Map data acquisition step S11 Construction position designation step S13 Construction noise source acquisition step S45 Construction noise prediction steps S23 to S31, S46, S47 Structure noise prediction steps S45 to S47 Noise amount synthesis step S5 Output step S41 Measurement position designation step

Claims (4)

In a noise prediction program for causing a computer equipped with a storage unit to execute predictive control of the amount of propagation of noise generated at a construction site to the surroundings,
The storage unit
Construction noise source storage means for storing the amount of noise for each construction noise source;
Corresponding to the structure to be constructed, it functions as a structure noise source storage means for storing the type and size of the structure noise source when the structure is a noise source.
A map data acquisition step for acquiring map data according to the construction site;
A construction position designation step for designating a construction position for the map data acquired by the map data acquisition step;
A construction noise source obtaining step for obtaining a noise source corresponding to the construction content from the construction noise sources stored in the construction noise source storage means;
A construction noise prediction step for calculating and predicting the propagation amount of noise generated from the construction noise source acquired by the construction noise source acquisition step to the surroundings at the construction position specified by the construction position designation step;
Propagation amount of noise generated from the structure noise source stored in the structure noise source storage means when the structure to be constructed is a noise source at the construction position designated in the construction position designation step A structural noise prediction step for calculating and predicting
A noise amount synthesis step for synthesizing the noise amounts predicted by the construction noise prediction step and the structure noise prediction step;
A noise prediction program that causes a computer to execute an output step of outputting a noise amount synthesized by the noise amount synthesis step. In the structure noise source storage means, the type of the line sound source or the surface sound source is stored as the type when the structure to be constructed is a noise source.
The structure noise prediction step calculates and predicts a propagation amount of noise generated from the structure noise source to the surroundings according to the type of structure to be constructed. The noise prediction program according to 1.   In the structure noise prediction step, when the size of the structure noise source acquired from the structure noise source storage unit is larger than the actual structure, the size of the actual structure is set as the size of the structure noise source. The noise prediction program according to claim 1, wherein the noise prediction program calculates and predicts the amount of propagation of noise generated from the structural noise source to the surroundings. For the map data acquired by the map data acquisition step, a measurement position specifying step for specifying a noise measurement position is provided,
4. The construction noise prediction step and the structure noise prediction step calculate and predict a noise amount at a measurement position designated by the measurement position designation step. The noise prediction program described in 1.

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