JP3970309B1 - Data generation method for door-to-door precuts - Google Patents

Abstract

PROBLEM TO BE SOLVED: One of ecological solutions on a global scale on a macro scale by minimizing the residual material cost when pre-cutting the building materials of each house in a small and medium-sized building material processor I will provide a.
A structural plan is generated from CAD file data of a basic design created by a CAD system, and a short list of timbers necessary for construction is generated from the structural plan. Each short data of wood described in this short list and the size, quantity and cost of the material of the standard material available from the external or internal database connected to the system are used as parameters. Generate all combinations of pre-cut wood. A two-dimensional array is generated by excluding combinations having a predetermined end material length or more from these. From this two-dimensional array, a combination with the smallest end material or the lowest total cost is extracted. By performing precut production based on this extraction result, it is possible to minimize the waste at the time of precutting which has been conventionally performed.
[Selection] Figure 1

Description

  The present invention relates to a method for generating door-to-door precut data that minimizes scraps to be discarded by efficiently cutting short lengths of different dimensions from fixed-size wood in building material processing.

  Previously, we received an order from a pre-cutting factory that pre-cuts cutting and preliminary processing of short timber that was performed at the construction site of construction. Create a plan, make a list of short timbers while looking at the plan, and in the cutting process, rely on experience and intuition to cut out from a timber with a length slightly longer than each short timber The method was general. I was able to imagine that it would be efficient to cut out multiple short-length wood from long-size wood, but the short size and quantity used for each building differed, and pre-cut work started after each calculation at the site. It was time consuming, inefficient and unrealistic.

  In order to solve the above-mentioned problems, with regard to a device for efficiently cutting the component member by reducing the end material as much as possible within the maximum specified length of the raw material, for example, in the shutter component member, the rated length Input means for inputting dimension data, sorting means for sorting each constituent member, extracting means for extracting desired member data, rearranging means for rearranging within the maximum specified length data of the raw material, cutting the raw material in the order of rearranged data There is known a fixed-size cutting control method for a shutter constituent member constituted by cutting means (Patent Document 1).

In addition, for each house to be built, CAD data for pre-cutting the building materials of that house is saved, first, CAD data for a plurality of houses are batched, and the same type of building materials are ranked in the order of their material length, There is also known a method in which a predetermined order is assigned to materials registered in a stock yard on a computer in order from the longest material length, and the remaining materials are used preferentially for the assignment (Patent Document 2).
Japanese Patent Laid-Open No. 06-149850 Japanese Patent Laid-Open No. 06-142724 JP 11-39358 A JP 2005-165918 A JP 2002-269161 A

  By the way, the above conventional technique has the following problems to be solved. In patent document 1, the length of the raw material which cut | disconnects the structural member of a shutter is decided, and the selection from a several raw material cannot be performed. In a construction site, it is necessary to effectively use a stock material that is in stock, and since there is not one type of standard material that can be obtained, it is necessary to respond flexibly according to the stock and price. Therefore, in this technique, since the raw material of the standard material is limited, it cannot be used for a construction site by a conventional construction method using a plurality of types of lengths as appropriate.

  Further, in Patent Document 2, CAD data for a plurality of residences are collectively assigned in order from a lumber having a long material length. First, a material registered in a stock yard is cut into a predetermined length. The remaining material is added to the stock yard registration and will be preferentially used for allocation. Basically, the first building material is cut from one standard material and the cost of the standard material is cut. This is a pre-cut method that can be used as the minimum remaining material in consideration of the whole building material. Further, regarding the remaining material, in the description of FIG. 5, “If it is determined in step 7 that there is a remaining material, the process proceeds to step 8 to search the shortest remaining material that can be allocated from the remaining materials.” Although the building materials are assigned in the order of the building material data list that has already been ranked and has the highest priority, the material that matches the length of this remaining material is selected from the remaining building material list. There is a problem that it is to be searched and not necessarily the optimal combination.

In order to solve the above-mentioned problems, a door-to-door precut data generation method according to the present invention includes a network-connected plan view creation means 29, a CAD drawing / flood drawing output means 30, a yield calculation means 31, and a plurality of suppliers. Computer-controlled precut processing that is connected to one of the above, and includes a stock list DB 25 having inventory data and price information, and a sales management system 34 having a function for simulating the price of mill ends. Precut data for instructing processing to the machine was generated, and the following steps (1) to (11) were made.
(1) The CAD drawing / floor map output means 30 generates a floor map from a plan view of CAD data.
(2) The CAD drawing / flood map output means 30 generates a short wood list 35 from the map.
(3) Based on the standard material database 36 of the inventory list DB 25 of one supplier, a first two-dimensional array 37 having short data combinations and end material lengths 38 as elements is generated for a plurality of short data combinations.
(4) A plurality of second two-dimensional arrays 39 are generated by adding mill price 40 to the plurality of two-dimensional arrays 37.
(5) In the plurality of two-dimensional arrays 39 to which the end material prices are added, the sum of the end material prices is rearranged as a parameter, and the second two-dimensional array 39 having the smallest total end material prices is selected.
(6) The processes (3) to (5) are performed using the inventory list DB of a plurality of supply sources, and the three-dimensional arrays from the first second two-dimensional array 39 selected for each supply source are converted. Generate and select the supplier that will be the total cost of the cheapest offcut at precut time.

  As a result, it is possible to select the combination with the least amount of edge material by door-to-door precut from multiple lengths of standard material that can be used as multiple supplier stocks, so that the remaining material can be used effectively and waste material can be reduced. become able to do.

  Thereby, since a several supplier can be compared easily, when purchasing a fixed-size lumber for every door, the end material price can be minimized and cost waste can be managed.

  In the precut data generation method of the present invention, only data that meets the setting conditions is extracted from all combinations using the short wood data for each door and the data for the fixed-size wood input from the external database. By providing a three-dimensional array, a high-speed data search is possible, and a method for outputting the search results to the outside is provided.

  The present invention can be used alone as a yield calculation system, but by providing it as a yield calculation system server on a network, it is possible to provide an appropriate precut method even for customers in remote locations. It becomes possible.

  FIG. 1 shows a process for generating optimum pre-cut data for each door in a yield calculation system using a plan generated from a CAD drawing. For this calculation, the short dimension of the wood in the above-mentioned plan and the standard dimension data of the standard material length in the external database are used. The cutting length tori (n) of the building material is used as the first array, and the dimension teij (n) of the standard material is used as the second array.

First, when the program is started in step 1, the first standard size teij (1) is read and acquired in step 2. Next, the cutting length tori (1) of the first building material is read in Step 3, and the standard length teij (1) and the building material tori (1) are compared in Step 4 and branched under the following conditions.
If teij (1) <tori (1), step 6
If teij (1) = tori (1), step 5
If teij (1)> tori (1), step 7

  If it is determined in step 4 that the building material tori (1) is larger than the standard teij (1), since the cutting of the building material tori (1) is invalid, the process proceeds to step 6 and the next standard dimension teij ( 2) is read and acquired.

  If the dimensions of the standard teij (1) and the building material tori (1) coincide with each other in the determination in the step 4, there is no need to cut, so the process proceeds to the step 18 where the two-dimensional array is registered in the step 5. To do.

Furthermore, when the building material tori (1) is smaller than the standard teij (1) in the determination in step 4, the cutting length of the next building material tori (2) is acquired in step 7, and then the step At 8, the total value su (1) is calculated by the following formula.
su (1) = tori (1) + tori (2)

Next, in step 9, the total value su (1) is compared with the standard teij (1) acquired in step 2, and the process branches according to the following conditions.
If teij (1) <su (1), step 11
If teij (1) = su (1), step 10
If teij (1)> su (1), step 12

If the total su (1) is larger than the standard teij (1) in the determination in step 9, the standard teij (1) is longer than the building material tori (1), but the building material tori (1) and the building material tori Since it is shorter than the total su (1) of (2), the standard teij (1) can only cut the building material tori (1). The value sa (1) is set to the following value.
sa (1) = teij (1) -su (2)

  The above-mentioned end material length data sa (1) is compared with the minimum end material length set in advance in step 17, and is filtered. In this case, since the minimum end material length is set to 50 cm (500 mm), if 50 cm ≧ sa (1), the process proceeds to step 18 to perform registration in the first two-dimensional array. As a storage destination for storing the array in this case, a method using a spreadsheet or a method using a table in a database can be considered.

  If the end material data sa (1) is shorter than a predetermined length (50 cm in the above case), the data is useless in this case, so that the process proceeds to step 19 and the registration is invalidated as the two-dimensional data. Without registering in the array, the process proceeds to step 6 to acquire the next standard data and continue the yield calculation process.

  Next, when the standard teij (1) and the total su (1) are equal in the determination in the step 9, the standard teij (1) is the total su (1) of the building material tori (1) and the building material tori (2). ), It is determined to be confirmed by this combination, and the process proceeds to step 18 in which registration in the two-dimensional array is performed in step 10.

Furthermore, when the total su (1) is shorter than the standard teij (1) in the determination in the step 9, the standard teij (1) is the total su (1) of the building material tori (1) and the building material tori (2). ) Because it is longer, the length data of the next building material tori (3) is further acquired in step 12, and the total value su (2) of the building material is added in step 13.
su (2) = su (1) + tori (3)

Next, in step 14, the total value su (2) is compared with the standard teij (1) acquired in step 2, and the process branches according to the following conditions.
If teij (1) <su (2), step 16
If teij (1) = su (2), step 15
If teij (1)> su (2), step 20

If the total su (2) is larger than the standard teij (1) in the determination in step 14, the standard teij (1) is longer than the total value su (1), but the building material tori (1) and the building material Since it is shorter than the total su (2) of tori (2), the standard teij (1) can only cut the total value su (1) of the building materials tori (1) and tori (2). Therefore, in step 16, the end material length value sa (1) by the pre-cut is set to the following value.
sa (1) = teij (1) -su (1)

  Next, when the standard teij (1) and the total su (2) are equal in the determination in step 14, the standard teij (1) is the total su (2) of the building materials tori (1) to building material tori (3). ), It is determined to be confirmed by this combination, and the process proceeds to step 18 where the registration to the two-dimensional array is performed in step 15.

Furthermore, when the total su (2) is shorter than the standard teij (1) in the determination in step 14, the standard teij (1) is the sum of the total value su (1) and tori (3), that is, the building material. Since it is longer than the total su (2) of tori (1) to building material tori (3), the length data of the next building material tori (4) is further acquired in step 20, and the total value of building materials in step 21 The operation of adding su (2) is performed.
su (3) = su (2) + tori (4)

  As a process following the above, the building materials are successively added until the total value su (d) up to the d-th building material is equal to or larger than the e-th standard teij (e) (the number of d is increased). ) Can shorten the end material from the standard.

  The condition of the end material in step 17 can be set arbitrarily, and simulation is possible if it is set as a variable parameter. However, if the set value is reduced, the number of two-dimensional arrays increases, so the time for searching for the optimum precut value is increased. It will take. In other words, the search time can be shortened by appropriately setting the conditions of the end material.

  Fig. 2 shows the configuration from the CAD drawing generation process to the precut process, which consists of the CAD drawing generation process, the drawing generation process, the building material inventory (stock yard), the inventory list database, the yield calculation system, and the precut device. Is shown.

  In the CAD drawing, the CAD drawing data needs to be CAD drawing data that can be recognized in the following drawing generation step 23, which is the next process. For example, when a work is performed based on a paper-based CAD drawing, It is necessary to generate the recognizable CAD drawing data in the CAD drawing generation step 22 from the paper-based CAD drawing.

  The CAD drawing data generated in the CAD drawing generation step 22 is sent to the next drawing generation step 23. In the conventional method, this is automatically generated most efficiently by setting the target drawing, target area, target member, beam direction, cross-sectional dimension, pitch, part-specific span table, etc. Can be determined from the combination of the total lengths of beams to be connected, excluding the column top. The short data of the structural plan generated in this way is sent to the yield calculation system 26.

  On the other hand, building material inventory 24 data in a stock yard that stores standard building materials is stored in the inventory list DB 25 that stores the inventory list database, and is regularly maintained and the data in the database is always up-to-date. Inventory data. The inventory list DB 25 does not have to be one place, and a plurality of databases are managed by a management system or are connected separately to enable data retrieval from a plurality of suppliers. Price information is also included in the inventory list DB 25, and even if a certain length of standard material stock (for example, 3 m of standard material) is cut out at one location due to the combination of cut building materials, other stocks that are expensive Rather than using a material (for example, a 4 m fixed length material), it is possible to reduce the construction cost for each house by searching for the specific fixed length material (a 3 m fixed length material) from another database and taking care of it. In addition, if there is a shortage of a specific standard material in the inventory at the time of calculation and the price of the standard material in another database is high, if there is room for delivery to the site and you can wait, It is also possible to reduce the cost of building materials by delaying the process until the arrival of goods.

  In the yield calculation system 26, optimum precut data of building materials used in a door-to-door building is generated using the building material data from the floor plan generating step 23 and the standard material data from the inventory list DB 25. The precut data generated here is sent to the precut device 27 via the lot production / order production division interface.

  The pre-cut device 27 pre-cuts a building material having a length selected from a predetermined standard material by using the pre-cut data. Conventionally, in the pre-cut process, the craftsman selected and cut the standard material appropriately while looking at the building material list given by the craftsman. In most cases, select the standard material closest to the length of the building material. However, since the scrap was discarded, it was publicly known that there was a lot of waste in pre-cutting for door-to-door construction, but there was no room for calculating the optimum combination at the site, and this waste was left unattended. However, with the yield calculation of the present invention, any precut craftsman can easily perform the precut work in the determined work process, so the precut that previously required a total of three people, such as carrying in the standard material and processing the end material The introduction of automatic loaders and loaders has enabled automatic supply and discharge of the process, so one person can cover the process.

  FIG. 3 shows an example in which the system of the system configuration block diagram is connected to a network. Here, the plan view creation means 29, the CAD drawing / floor map output means 30, the yield calculation means 31, the inventory list DB 25, the production line system 32, the distribution center system 33, and the sales management system 34 may be independent of each other. However, considering the convenience of data management, it is desirable that the CAD drawing / floor map output means and the yield calculation means be combined. Also, considering security in terms of data management, if a security server that is similar to the security management system common to each section is placed and authentication is performed from each section via the network before the work is performed, third parties are not permitted from the outside. Access can be prevented. Considering the convenience of users, for example, a combination of a magnetic card or IC card and a personal identification number allows unauthorized access if the card is lost or misused. For example, a method using biometric authentication such as a fingerprint, For example, a method of double-checking biometrics authentication data (parameters) in a data carrier such as an IC card can be considered.

  In the plan view creation means 29, a newly created or existing CAD drawing (plan view) is used to convert the format into a format that can be recognized by a specified CAD. In this case, if the floor plan sent by FAX etc. is converted into a CAD drawing, the edge of the building is displayed while referring to the plan view as a background by layer setting as in general CAD drawing software. After tracing and recognizing partitions by dividing the interior with lines, necessary sketches can be generated by assigning attributes such as rooms and entrances.

  The CAD drawing / plan map generation means 30 inputs automatic map parameters from the received plan map data. As this floor plan generation procedure, for example, mode-specific layers such as a base layer, a girder beam layer, and a purlin layer are generated, and the work contents are classified to proceed with the work.

  In the foundation layer, first, the positions of the room and the pillar are determined, and then the division is input to generate the foundation. Next, the sickle joint processing and the partition base are generated, and then the large draw is generated. As for the struck base, if it is a steel struck, it is not necessary to generate it here. To generate. As for the material of the fire-cracking base, rice bran may be used, but considering the climate of Japan, it is preferable to use Aomori hiba, rice hiba and cypress wood that are durable. Next, an ant mouth is created, the entrance is reworked, and notes and dimensions are added to complete the foundation layer.

  In the girder beam layer, first, a jump area of the veranda portion, both end beams, split beams, receiving beams, jump beams, tip beams, and the like are generated. Furthermore, a structural section beam is generated. Further, after generating structural partition beams, joints, and partition split beams, partition beams, bundle beams and floor beams on the upper and lower floor layers are generated, and dovetails are generated to determine beam formation. Next, input the staircase and enter dimensions and notes to complete the second floor layer.

  In the purlin layer, a structural plan of the roof is generated. First, a main beam of a main building and a bundle of sheds is generated. The main beam is calculated as a result of executing the structural calculation for the input main building, and a value of 120 or more is set as the main beam. In addition, the main building layer is completed by generating beams and joints.

  When the draft is completed, building material data is transmitted to the yield calculation system 31, and at the same time, the plan data for generating the planned cost calculation, the operating cost calculation, and the business estimate including various expenses are generated in the sales management system 34. Send.

  The yield calculation system 31 receives the standard material data and the plan data from the inventory list DB 25. From the standpoint of optimizing the individual building cost, which is the object of the present invention, the inventory list DB 25 is preferably connected to a plurality of suppliers from the viewpoint of minimizing the total cost of mill ends and suppressing the total cost. In order to take advantage of the advantage of network connection, for example, it is conceivable to reduce the material cost of the door-to-door building by conducting an auction of standard materials for registered bidders.

  The data provided from the inventory list DB 25 includes a standard code of a standard material, material length, material width, material tree species, main dimensions, unit price, and inventory location data. In order to be able to use these data as standard even when they are provided from multiple suppliers, it is possible to use a database formatter that processes the raw data from each data source and puts it into a specified format. For example, using an existing database, data from each data source is imported into each table, items from these tables are combined and rearranged into another table, and one data from a database in a different format is obtained. It can be considered that it can be used in other databases.

  Precut data is sent from the yield calculation system 31 to the production line system of the precut factory 32, and a production instruction is appropriately given to a short length cutting system, a panel lot processing system, etc. through an interface for classifying lot production or custom production, Pre-cut processing is performed in the labor-saving production line. The labor-saving production line is equipped with an automatic inspection system, a loader and a loader, and can be operated by a small number of people. The history produced based on the pre-cut data is sent to the distribution center 33 for use in inventory management and also sent to the business management system 34 for use as daily report data.

  The precut processing result in the labor-saving production line is sent to the sales management system 34 as machine input data. In the business management system 34, in addition to the machine input data, a daily cost report is generated using the daily delivery data from the distribution center 33, the planned cost data generated from the draft, the operating cost data, and the business estimate data. Data is accumulated as a cost weekly report by summarizing them on a weekly basis.

  FIG. 4 is a diagram showing a specific processing flow of the yield calculation system 31 according to the present invention. As described above, the yield calculation system 31 is supplied with the standard material database 36 in the inventory list DB 25 and the short data 35 in the CAD drawing / plan map generation means 30. The short data 35 is set as the first array, and the database 36 of the standard material is set as the second array.

The first two-dimensional array is an example in which the sum of the end material lengths 38 is rearranged as a parameter from the two-dimensional array generated by the yield calculation system 31 and the one with the smaller end material length 38 is selected. 37, the second two-dimensional array 39 is an example in which the end material cost 40 is rearranged as a parameter and the one with the smallest total end material cost 40 is selected. Specifically, when calculating the end material in step 16 of FIG. 1, for example, a cypress (unit price 38000) having a material length of 4000 mm in the first two-dimensional array 36 is calculated with respect to the calculated end material sa (1). Circle) and the end material cost is 150 mm, the end material cost is
38000 yen x 150 mm / 4000 mm = 1425 yen, and when other calculations are performed in the same manner, the total cost of the end materials of the three standard materials α, β, γ is
1425 yen + 2625 yen + 2000 yen = 6050 yen.
38000 yen (α) + 45000 yen (β) + 3000 yen (γ)
= 113000 yen, the cost of milling material relative to the price of a standard material is
6050 yen / 113,000 yen = 0.0535 (5.35%)
Therefore, the end material cost is calculated to be 5.35%.

If the price of the standard material is different,
Standard material α (4000mm) 40000 yen
Standard material β (6000 mm) 60000 yen
Suppose that the price of the standard material γ (3000 mm) is 30,000 yen.
End material cost of standard material α 1500 yen
End material cost of standard material β 3500 yen
The end material cost of the standard material γ is 2000 yen, and the total cost of the end material is 7000 yen.
7000 yen / 130,000 yen = 0.0538 (5.38%)
Therefore, the cost increase is 0.03% relative to the above-mentioned flat material price ratio of 5.35%, and the end material cost is 950 yen higher than 6050 yen. 7% more expensive. In this way, since the total cost of the mill ends changes depending on whether the price per unit length of the standard material is constant or not, if it is possible to perform a simulation using the mill costs as a parameter by connecting to multiple supplier databases, It is possible to select a supplier of the standard material at the cheapest edge material cost at the time of pre-cutting.

  In the above, the constant material supplier is limited to a constant material supplier. However, when there are a plurality of suppliers, the second array 36 is used as a three-dimensional array and the standard price is converted into another parameter. Therefore, it may be possible to perform a simulation calculation to determine from which supplier the lowest purchase cost is obtained for each standard size.

  Using a yield calculation system optimized with building cost as a parameter, combining the building materials of each house in the structural drawing generated from CAD drawings, and using the latest standard material database obtained from the stockyard connected by the list network As a pre-cut system that is less wasteful can be provided using a network such as the Internet, it is possible to effectively use resources and save construction costs regardless of the pre-cut factory location conditions and the presence or absence of a yield calculation system. Become.

Data processing flowchart of yield calculation according to the present invention Block diagram showing system configuration from CAD drawing generation to precut factory Example of a yield calculation system linked to a network Example of the flow of yield calculation based on the total material cost and cost

Explanation of symbols

1 ... Program start point, 2 ... Get the first standard dimension, 3 ... Get the cutting length of the first building material, 4 ... Comparison of standard and building materials, 5 ... Register in the two-dimensional array in Step 18, 6 ... Next 7 ... Acquire the cutting length of the next building material, 8 ... Calculate the total value, 9 ... Comparison of the total and building material, 10 ... Register in the two-dimensional array in step 18, 11 ... In the first building material Cut the standard, 12 ... Get the cutting length of the next building material, 13 ... Calculate the total value, 14 ... Compare the total with the building material, 15 ... Register in the two-dimensional array in step 18, 16 ... Calculate the end material, 17 ... Comparison of mill ends, 18 ... Registered in a two-dimensional array, 19 ... Discard data, 20 ... Acquire the cutting length of the next building material, 21 ... Calculate the total value, 22 ... Generate CAD drawing, 23 ... Float 24 ... Building material inventory, 25 ... Inventory list DB, 26 ... Yield calculation system, 27 ... Preca 28 ... Network, 29 ... Plane view generation means, 30 ... CAD drawing / Further map generation means, 31 ... Yield calculation means, 32 ... Precut factory, 33 ... Delivery department, 34 ... Sales management department, 35 ... No. 1 array (short data), 36... Second array (fixed material data), 37... First two-dimensional array (combination using the total of scrap materials as a sorting key), 38. 39: Second two-dimensional array (combination using milling material cost as sorting key), 40: Milling material cost column.

Claims (1)

A network-connected plan view creation means 29, a CAD drawing / ground drawing output means 30, a yield calculation means 31, an inventory list DB 25 connected to one of a plurality of suppliers, and having inventory data and price information; A pre-cut data generation method for generating pre-cut data, which includes a sales management system 34 having a function for simulating the end material price of end materials, and generates pre-cut data for instructing processing to a computer-controlled pre-cut processing machine for pre-cutting building materials used in door-to-door construction. A door-to-door precut data generation method comprising the steps of (1) to ( 6 ).
(1) The CAD drawing / floor map output means 30 generates a floor map from a plan view of CAD data.
(2) The CAD drawing / flood map output means 30 generates a short wood list 35 from the map.
(3) Based on the standard material database 36 of the inventory list DB 25 of one supplier, a first two-dimensional array 37 having short data combinations and end material lengths 38 as elements is generated for a plurality of short data combinations.
(4) A plurality of second two-dimensional arrays 39 are generated by adding mill price 40 to the plurality of two-dimensional arrays 37.
(5) In the plurality of two-dimensional arrays 39 to which the end material prices are added, the sum of the end material prices is rearranged as a parameter, and the second two-dimensional array 39 having the smallest total end material prices is selected.
(6) The processes (3) to (5) are performed using the inventory list DB of a plurality of supply sources, and the three-dimensional arrays from the first second two-dimensional array 39 selected for each supply source are converted. Generate and select the supplier that will be the total cost of the cheapest offcut at precut time.