WO2011078049A1 - Construction data management method, construction data management device, and construction data management system for structural object - Google Patents

Abstract

Disclosed are a construction data management method, construction data management device, and construction data management system for a structural object for automatically constructing associations among various data using various data related to construction and change performance data, calculating with high precision the impact if a change is made related to certain data, and presenting thereof. The construction data management method is provided with an element partitioning step that, for each of a plurality of components constituting a structural object, element-partitions the component into elements having an effect and elements not having an effect with respect to other components that are in a connection relationship with the component; a virtual element network generation step for generating virtual element network data defining, for each connection between each of the partitioned elements, cause-side elements imparting an effect and effect-side elements receiving the effect; a change management data generation step for generating data including objects that are causes, objects that receive effects, and degrees of effect for the same as change management data which are a collection of past change history data of the structural object; and an element network generation step for generating element network data by imparting degrees of effect, on the basis of past cases included in the change management data, to the virtual element network data.

Description

Construction data management method, construction data management device, and construction data management system

The present invention relates to the management of various data related to the construction of structures, and more particularly to a technique for improving the efficiency and quality of data management by automatically constructing associations between data in accordance with actual conditions.

In order to complete construction of various structures such as buildings, bridges, plants, electrical structures, and mechanical structures within the prescribed time limit, parts and parts, parts and processes, parts and parts constituting the structure It is necessary to manage the relationship between various data such as books and implement construction project management using the management information. In construction project management, various data related to construction such as parts data, design data, process data, book data, contract data, etc. are managed, but as the structure becomes huge, various types of data, huge amounts of data Will be treated. However, in the event that changes occur that could lead to drastic changes in the initial plan for construction project management, in order to estimate the degree of impact by organizing the relationship between the various types of data above, these data must be used. Efficient management is required.

For example, when the design content of one part of a structure is changed, the influence range (parts affected by the change) is searched based on the management information, and the exact impact of each influence range (increase or decrease in man-hours) It is important in managing the construction to promptly present it to the project manager along with the cost increase / decrease. This is because there is a possibility that the decision on whether or not to carry out the design change is seriously affected depending on the impact.

As a conventional technology related to project management of structures, as shown in Patent Documents 1 and 2, when design change elements are specified, the elements acquired by tracing the links given between the elements of the design data and their impact are displayed. To do. In addition, as in Patent Document 3, an effect on design change is evaluated, and cost calculation is performed as one of the indexes of the effect.

JP-A-2005-322211 JP 2008-83798 A JP 2006-65409 A

However, the techniques described in Patent Documents 1, 2, and 3 have the following problems.
The first issue is that the designer must examine the scope of impact and impact within a limited period of time. In other words, it is necessary for the designer to examine the relationship between each data and function such as parts, processes, books, etc. in light of their own knowledge and experience, and to input the examined content into a management device composed of computers. This means that it is difficult to implement a product composed of elements such as a large number of functions and parts like a large-scale building, bridge, or plant within a limited period. This is because, at the initial design stage of construction, even if the designer uses all the effort to define the relationship of all elements, the definition information on many that are not affected by the design change is not utilized. Part of the reason is that we cannot always find a positive need for definitions. Therefore, it can be said that it is practically impossible to construct a complete data regarding the relationship between the elements regarding the structure.

The second issue relates to the definition of connection strength between elements involved in the impact of change. As a method for this, Patent Document 1 defines a method based on the subjectivity of a designer while taking importance into consideration. Patent Document 2 defines a predetermined rule such as determining connection strengths between homogeneous elements and heterogeneous elements. Although the method of setting based on has been proposed, since none of them is based on actual change results, there may be a problem in accuracy.

In this regard, Patent Document 3 proposes a method of estimating the impact from the design change amount by expressing the relationship between the change amount and the impact by a regression equation based on past performance data. However, this method may be effective when there is a large amount of data such as mass-produced products, but it is intended for products that are not mass-produced such as large buildings, bridges, or plants. However, since a sufficient amount of data does not exist, a regression equation that secures sufficient accuracy cannot be derived, which is unsuitable. In addition, since the amount of change in the structure design and the actual impact are not necessarily in a linear relationship, there is also a problem in accuracy.

The present invention has been made to solve the above-mentioned problems, and its purpose is to manage design data and the like without burdening the designer more than necessary in managing various data related to construction such as plant construction. The purpose is to automatically establish associations between various data using existing data and change record data. Another object is to calculate the impact when a change is made based on the related information between the various data with high accuracy and present the result to the person in charge of the change.

The construction data management method of the structure of the present invention includes:
An element division step for dividing the part into elements that do not affect elements that affect other parts that are connected to the part, and elements that do not have an influence on each of the parts that make up the structure. And a virtual element network generation step for generating virtual element network data that defines an influencing cause element, an influencing element on the affected side, and a past structure Based on the change management data generation step that generates data including the cause, the influence, and the degree of influence as change management data that is a set of change history data, and the virtual element network data based on past cases included in the change management data An element network generation step of generating element network data by giving an influence degree is provided.

Further, in the element network generation step, when searching for virtual element network data corresponding to the change management data, the cause and effect IDs included in the change management data, the cause element and the influence element of the virtual element network The first method for checking the match of the component IDs assigned to the component, the component type ID related to the cause and the influence included in the change management data, the cause side element of the virtual element network, and the component type ID related to the influence side element It is better to specify by the second method of seeing a match.

Also, the part type ID in the second method is preferably divided into installation units at a predetermined construction site for each part.

In the construction data management method of the structure of the present invention,
An element division step for dividing the part into elements that do not affect elements that affect other parts that are connected to the part, and elements that do not have an influence on each of the parts that make up the structure. And a virtual element network generation step for generating virtual element network data that defines an influencing cause element, an influencing element on the affected side, and a past structure Based on the change management data generation step that generates data including the cause, the influence, and the degree of influence as change management data that is a set of change history data, and the virtual element network data based on past cases included in the change management data An element network generation step for generating an element network data by giving an influence degree, and for evaluation Based on the change plan input step to create and input the data of the change plan in a predetermined format, and the change plan data, the object to be changed, the object that is directly affected by it, and the influence amount on the change target side are extracted, and the elements Impact assessment step of searching the network data until it can no longer find what is affected multiple times, extracting the overall impact range, calculating the overall impact, and outputting the result as an impact link list With.

The construction data management device of the structure of the present invention is
An element dividing means for dividing a part into a plurality of parts constituting a structure and an element that has an influence on other parts that are connected to the part and an element that has no influence when the part is changed For each of the divided elements, a virtual element network generating means for generating virtual element network data that defines the influencing cause element, the influencing element on the affected side, and the past of the structure Based on past cases included in change management data, change management data generation means for generating data including cause, influence, and degree of influence as change management data that is a set of change history data Element network generation means for generating element network data by assigning an influence degree, and a table based on the above various data Comprising a display control means display device and for controlling the content, a plurality of components on the display device is divided into elements is, the connections between the elements are displayed with an arrow from causes side element to the affected side element.

In addition, the display on the display device uses the divided elements as nodes, links between the divided elements as links, and the arrows from the cause side elements to the influence side elements are displayed along the links. Is good.

Also, for the display on the display device, it is preferable that the arrow from the cause side element to the influence side element is changed in display according to the magnitude of the degree of influence.

Also, the display on the display device should have the degree of influence expressed numerically for each of the cause side and the influence side.

The structure construction data management system of the present invention is
Engineering database group that stores data related to construction of structures such as design data, parts data, process data, book data, and past change history data of the structure,
Change management data generation means for managing data in the engineering database group and generating data including cause, influence, and degree of influence as change management data that is a set of past change history data of structures Database management system,
Elements that affect the other parts that are connected to the parts when the data of the parts that make up the structure stored in the engineering database group is captured and the parts are changed. An element dividing unit that divides the part into elements that do not influence, a virtual element network that defines an influencing cause element and an affected influencing element for each connection of the divided elements Virtual element network generation means for generating data, and element network data is generated by giving the virtual element network data an influence degree based on past cases included in the data generated by the change management data generation means in the database management system A construction data management device comprising element network generation means
It is comprised from the display apparatus which displays a display content based on said various data.

Further, the construction data management device is directly affected by the change plan input means for creating and inputting the change plan data for evaluation in a predetermined format, and the object to be changed based on the change plan data. The influence range of the object and the change target is extracted, and the element network data is searched until it can no longer find the multiple influences, so that the entire influence range is extracted and the overall influence amount is calculated. It is preferable to include an impact evaluation unit that outputs the result as an influence link list, a display control unit that controls display contents based on the various data, and a display device.

According to the present invention, the construction data management method, the construction data management device, and the construction data management system of the present invention provide the design data, the process, and the like in the management of various data related to the construction without imposing an unnecessary burden on the person in charge. The relationship between various data is automatically and accurately built using existing data such as data and book data and the actual change data, and the impact when changes are made based on the relevant information between the various data Can be calculated with high accuracy based on past results and presented to the proposer of the change plan. By considering the presented impact, it is effective when the proposer makes a decision on whether to adopt the change proposal formally (register it in the change management database 3e) or to make another change proposal. Can be supported, and as a result, the efficiency of the entire construction project can be improved.

It is a schematic block diagram of the construction data management apparatus of this invention and the construction data management system comprised from them. It is the figure which defined components by component ID, component classification, and component number. FIG. 3 is a diagram in which an arrangement position is expressed by XYZ three-dimensional coordinates and a rotation angle with respect to an apparatus whose component type is FIG. 2. FIG. 3 is a diagram representing the pipe type of the part in FIG. 2 expressed by its diameter, length, angle of a bent portion, and the like. It is a figure of the connection information which shows the connection relation of components. It is a figure which shows the apparatus structure embodied by the memory content. It is a figure which shows the element structure of the plant after element division. It is a figure which shows the virtual element network based on a design drawing. It is a figure which shows the deformed typical virtual element network. It is a figure which shows an example of virtual element network data. It is a figure which shows an example of element network data. It is a figure which shows an example of the data format of a change management database. FIG. 6 is a flowchart for explaining processing contents of an element network generation unit 102. FIG. 10 is a flowchart illustrating the processing content of an impact evaluation unit 121. It is a figure which shows an example of the data of an influence link list. It is a figure which shows an example of the display of the element network data per element based on a design drawing. It is a figure which shows an example of a display of typical element network data. It is a figure which shows an example of the display of the element network data per component based on a design drawing. It is a figure which shows an example of the display of the influence range in the element unit based on the design drawing. It is a figure which shows an example of the display of a typical influence range. It is a figure which shows an example of the display of the influence range in component units based on a design drawing.

Embodiments of the present invention will be described below with reference to the drawings.

FIG. 1 is a schematic configuration diagram of a construction data management system including a construction data management device 1, a database management system 2, an engineering database group 3, a display device 4 and the like according to an embodiment of the present invention.

This construction data management system uses the data generated and edited by the database management system 2 and stored in various engineering database groups 3, and the construction data management device 1 manages and changes various data related to the construction of plants and the like. By evaluating the impact on the project and displaying the evaluation result on the display device 4, efficient project management such as re-planning is supported. In each of the drawings including FIG. 1, “database” is “DB” for convenience of description.

Hereinafter, each part constituting the construction data management system will be described.

First, the construction data management apparatus 1 includes an element network generation unit 10, an element network database 11, a change impact evaluation unit 12, and a display control unit 13, manages various data related to construction, and evaluates the impact of change. By displaying various data and evaluation results, it supports efficient project management such as re-planning.

The database management system 2 is a system that generates and edits various database groups 3 and element network databases 11 related to construction, and there is a management system corresponding to each database in the engineering database group 3. For example, if the database is the design database 3a, the product is based on a 3D CAD (Computer Aided Design) system that is a building design system, and if it is a parts database 3b, it is a BOM (Bill of Material) that is a parts table. In the case of a PDM (Product Data Management) system for managing information and the process database 3c, there is a process management system. In the case of the book database 3d, the change management database 3e, and the element network database 11 as well, a dedicated management system (for example, a PC incorporating software that supports data editing and storage, and a display for displaying data) There is a corresponding device.

Next, each part constituting the construction data management device 1 will be described in more detail.

The element network generation unit 10 has a function of generating an element network by using the engineering database group 3 to link data related to construction of a plant or the like. The configuration includes an element division unit 100, a virtual element network generation unit 101, and an element network generation unit 102. Each processing unit of the element network generation unit 10 is virtually configured on the information processing apparatus when the CPU executes various programs loaded in a main storage device such as a memory. Further, the program can be easily loaded into the main storage device by recording it in a storage medium such as an HDD, SSD, DVD-ROM, BD-R or the like.

Next, the function of each unit shown in FIG. 1 will be described in detail. As a premise, in the following description, a plant will be described as an example of a structure. However, the structure is not necessarily limited to a plant, and may be applied to general construction structures such as buildings and bridges. Furthermore, a mechanical structure or an electrical structure may be used. These structures are configured as a combination of a plurality of element structures suitable for those fields. Here, the element structures are expressed as parts.

Further, in the following description, the design database 3a of the engineering database group 3 stores the data of FIGS. 2 to 5, and the plant as a structure embodied by the stored contents is configured as shown in FIG. Shall be provided. Hereinafter, the connection relationship of the apparatus of the present invention will be described with reference to the drawings, taking a plant embodied by these data as an example.

First, FIG. 2 defines parts used in the plant of FIG. 6 by part identification information (part ID), part type, and part number. In the following drawings, “identification information” is represented as “ID” for convenience of description. According to this, when the component ID is 1, the component type is a device and the component number is 5001. Similarly, the component ID 2 is piping and the component number is 7001. The component ID 3 is a device, and the component number is 5002. The part ID 4 is piping and the part number is 7002. The component ID 7 is also present in the same manner below, but the description is omitted since it is the same as the above example.

FIG. 3 relates to device information in which the component type of FIG. 2 is a device, and the arrangement position is expressed by three-dimensional coordinates of XYZ and a rotation angle. FIG. 4 relates to piping information expressed by the diameter, length, angle of the bent portion, etc. of the component type of FIG. 2 that is piping.

FIG. 5 is a diagram of connection information showing the connection relationship of the above components. According to this figure, each component ID is described on the vertical axis, and the number of connected components, the connected component ID, and the connection position are stored on the horizontal axis. This will be described with the component ID1. Since the number of connected components on the horizontal axis of the component ID1 is “1”, it is connected to one component, and the connected component ID1 column is “2”. The component ID to be connected is component ID2. Furthermore, referring to the column of the connection position 1, it can be understood that the connection position with the component ID 2 is expressed in three dimensions of XYZ. 2 to 5, the part ID2 pipe in FIG. 5 is connected to the part ID1 equipment and the part ID3 equipment, and the part ID3 equipment is the part ID2 pipe and the part ID4 pipe. It can be understood that the part ID4 is connected to the part ID3 device and the part ID5 pipe. Since the subsequent component IDs 5, 6, and 7 can be understood in the same manner, description thereof is omitted here.

FIG. 6 shows a plant embodied in the storage contents of the design database 3a described in FIGS. The plant shown in the drawing is derived from the connection relationship of the parts constituting the plant. It is omitted that the plant is of such a configuration because no special explanation is required.

Using the data of FIGS. 2 to 5 stored in the design database 3a of the engineering database group 3, the element dividing unit 100 in the element network generating unit 10 uses each component (component ID1 to component ID7) constituting the plant. )), It is divided into elements that directly affect other parts and elements that do not affect. That is, one part is divided into an element that directly affects other parts and an element that does not affect the other parts.

Here, the elements to be divided are not divided into actual physical units such as sub-parts constituting the part, but are logical parts that directly affect other parts and parts that do not. Therefore, the database used when dividing the elements is not the parts database 3b of the engineering database group 3, but the design database 3a in which the shape information, coordinate information, connection information, and other attribute information of the parts are defined.

FIG. 7 shows the element configuration of the plant after the element division. To give an example in this figure, when there is one counterpart component to be connected, such as component ID1, component ID5, and component ID7 in FIG. The former may be divided as 1b, 5a, 7a, and the latter may be divided as 1a, 5b, 7b. In other words, if there is only one connection partner, the component is divided into two parts, one of which is an element that directly affects the other and the other is an element that is not.

In addition, when there are two counterpart parts to be connected as in the parts IDs 2, 4, and 6, the parts are divided into three parts, and the two parts on the side facing the connection counterpart are directly influenced elements. What is necessary is just to let the intermediate part sandwiched between the parts be elements that are not. In FIG. 7, as the logical elements of the directly influencing element and the non-influenced part, the former is divided into 2a, 2c, 4a, 4c, 6a, 6c, and the latter is divided into 2b, 4b, 6b. Good. Similarly, when there are three mating parts to be connected like the part 3, the part is divided into four parts, and the three parts 3a, 3c, and 3d on the side facing the mating part are directly influenced elements. The intermediate portion 3b sandwiched between the two elements may be the other element.

Note that the indirect influence between part A and part C, where a part A affects another part B and the affected part B affects another part C, is here. Then it is excluded. Therefore, it is only necessary to consider the physical connection relationship of each component, and using the information in the design database 3a in which the shape information, coordinate information, connection information, and other attribute information of the component are defined, as shown in FIG. The element can be mechanically divided according to the number of connections. In FIG. 7, elements with the same type of hatch represent parts that affect each other, and elements that are not hatched represent parts that do not affect any element. That is, the element dividing unit 100 has a function of dividing each part into a part that affects other parts and a part that does not affect other parts, and a part that affects other parts.

Next, the virtual element network generation unit 101 in the element network generation unit 10 generates each element divided by the element division unit 100 as a node and a connection between the nodes as a link as a virtual element network. In this case as well, a virtual element network can be mechanically generated by using the output information of the element dividing unit 100 (dividing elements and affecting elements).

The concept of the virtual element network generated based on the plant design shown in FIG. 6 will be described with reference to FIG. 8 and FIG. FIG. 8 is a virtual element network based on a design drawing. FIG. 8 is different from FIG. 7 in which parts are divided into elements in that an arrow is added to the top of FIG.

Here, the arrows in FIG. 8 define the relationship of influences that can be exerted between the divided elements together with their directions. That is, in FIG. 7, the element is divided into elements that directly influence and elements that do not, but in the first rule, an arrow is set in the direction from the element that affects to the element that does not. That is, the arrow is given from the hatched element in FIG. 7 to the direction of the element not hatched. In the second rule, arrows are set in both directions between the affected elements. That is, an arrow is provided in both directions between the hatched elements in FIG. Further, according to the third rule, when the connection partner divides two or more parts into three or more elements, the change of the element at one end affects the element at the other end. An arrow is set in the direction. For example, in the case of the component 2, this is the case where the arrows are given in both directions directly from the element 2a to the element 2c and from the element 2c to the element 2a without going through the element 2b.

FIG. 9 shows a deformed schematic virtual element network. FIG. 9 is different from FIG. 8 in that each element is represented by a square notation. is there. FIG. 8 and FIG. 9 express the same thing only with different notations, but by expressing as in FIG. 9, each round element in FIG. 9 is a node, and an arrow as a connection between nodes Can be well understood as a virtual element network formed as a link.

The meaning of FIG. 9 is that if a change such as a design change occurs in a certain node (divided element), the node at the tip of the arrow (divided element) is caused by that node. Indicates that the relationship is affected. The virtual element network generation unit 101 in the element network generation unit 10 generates virtual element network data shown in FIG. 10 according to the above rules.

FIG. 10 pays attention to a link expressed by an arrow as a connection between nodes, and provides link identification information (link ID) for each link. In the figure, all the link IDs are described on the vertical axis, and the link type and nodes at both ends of the link ID are described on the horizontal axis. Nodes at both ends of the link ID are classified into a cause side node and an influence side node, and are described as node identification information (node ID). In the following notation, the cause side means a side that affects other parts due to a design change or the like, and the affected side means an affected side. Of the link IDs in FIG. 10, 1001, 1002, 1003, and 1004 are shown in FIG. 9 as representative ones. As can be understood from FIG. 10, it can be understood that the link ID 1001 is the cause node ID 1b and the affected node ID 1a.

By the way, although the component ID for identifying the component is used as key information when data is stored in the design database 3a, this component ID is also used in the component database 3b. Related work processes and books are defined as a process ID and a book ID, respectively. Therefore, by using this information, the virtual element network generated by the virtual element network generation unit 101 is not limited to the relationship between the component elements (link IDs 1001 to 1004) as in the example shown in FIG. You may make it also include the elements contained in other databases, such as process ID and book ID. These examples are shown in the columns of link IDs 2001 and 3001.

In addition, in FIG. 10, the details of each item of cause side additional man-hour, cause-side additional cost, influence side additional man-hour, influence side additional cost, and number of changes will be described later. Is shown. However, in the processing stage of the virtual element network generation unit 101, an initial value “0” is set without reflecting a numerical value. As a method for setting the initial values for the additional man-hours and the additional cost other than the number of changes, in addition to the method of setting all “0” in this way, for example, the connection strength is determined between the same type elements and between different types of elements in advance. A method may be used in which the initial value is set based on the determined rule.

In the element network generation unit 102 in the element network generation unit 10, information of the change management database 3e, which is a set of past change history data, is added to the virtual element network data generated by the virtual element network generation unit 101. Thus, element network data based on past cases is generated.

Here, an example of the change management database 3e is shown in FIG. The change management database 3e in FIG. 12 stores past change cases 101, 102, and 103 as management identification information (management ID) on the vertical axis. On the horizontal axis, a management name, cause identification information (cause ID), and influence identification information (effect ID) are stored. According to the change example 101, this is a change in the collection tank nozzle position, the cause ID is a part with a part ID1, and the influence object ID is a part with a part ID2. In addition, the horizontal axis includes columns of additional cause-side man-hours, cause-side additional costs, influence-side additional man-hours, influence-side additional costs, and downstream management ID. According to this, addition of a component whose cause ID is component ID1 It can be seen that, along with the man-hours, 0.4 and 0.75 additional man-hours have been generated for the part whose influence object ID is part ID2. In the column of additional man-hours (person day), the right column shows the day and the left column shows the number of people. Since the management IDs 102 and 103 are created in accordance with the same description promise, a description thereof is omitted.

As shown in FIG. 12, when a change item such as a design change occurs in the past work, the contents are saved for each item, the management ID for identifying the item, the item that caused the change ( IDs of parts, processes, books, etc., IDs of objects (parts, processes, books, etc.) that affected the result, man-hours and costs incurred on the cause side, man-hours and costs incurred on the influencing side, and A management ID when the influence is further exerted from the influence side is stored. Here, the past work is not limited to the work related to the target plant, and it is better to include the work related to the plant performed in the past. By doing so, more past performance examples can be collected, and the accuracy in element network generation described later is improved.

The element network generator 102 generates the element network database of FIG. 11 by reflecting and modifying the information of the change management database 3e of FIG. 12 on the virtual element network data of FIG.

Here, detailed processing contents of the element network generation unit 102 will be described with reference to the flowchart of FIG. First, in step S60, all records of virtual element network data are fetched from the virtual element network database of FIG.

Next, in step S61, one record of change management data is read from the change management database of FIG. The change management data that is read first from the record of FIG. 12 is the change example 101, the management name is “collection tank nozzle position change”, the cause ID is part ID1, the influence object ID is part ID2, and the cause ID1. The additional man-hours for the parts and the additional man-hours for the affected object ID 2 are 0.4 and 0.75, respectively.

Next, in step S62, it is determined whether the influence path (link) of the read change management data exists in the virtual element network of FIG. The determination method is to check whether there is virtual element network data in which the combination of the cause ID and the influence ID in the change management data in FIG. 12 matches the combination of the cause node ID and the influence node ID in FIG. is there. In this way, if it exists (Yes), the process proceeds to step S63, and if it does not exist (No), the process proceeds to step S64 to proceed to the next change management record process.

Here, two methods for determining whether or not the combination of the cause node and the influence node in the virtual element network data (FIG. 10) and the combination of the cause and the influence object in the change management data (FIG. 12) match each other will be described. .

The first method is whether the combination of the cause node ID and the influence node ID in the virtual element network data (FIG. 10) and the combination of the cause ID and the influence object ID in the change management data (FIG. 12) completely match. Judgment. In this method, since the part IDs are completely matched, the combination of parts is completely the same, so the accuracy is extremely high, but the number of achievements is extremely small, and additional man-hours and costs are reduced as described above. It is considered that it is difficult to obtain a value when calculating statistically.

The second method is a combination of the cause node component type and the influence node component type in the virtual element network data (FIG. 10), and the cause component type and the influence object component type in the change management data (FIG. 12). Judgment is made based on whether or not the combination completely matches.
In the method focusing on this part type, each part is divided into predetermined installation units at the construction site (eg, large diameter pipe, small diameter pipe, large diameter support, small diameter support, pump, valve, turbine) , Pressure container, housing, control device, module, etc.), the part type ID matches. Therefore, although the accuracy is inferior to that of the first method, it is possible to secure a considerable number of achievements by including past achievements such as design in the past plant, and when calculating additional man-hours and additional costs statistically as described above. Since an effective value is easily obtained, the second method is considered more suitable in the present invention. Although the component type information is not directly described in FIGS. 10 and 12, it can be obtained by checking the component type column by referring to the design DB of FIG. 2 by tracing the component ID.

In the case of the first record imported this time, there is a match by the first method. The cause ID in the change management data in FIG. 12 is “1”, and the influence ID is “2”. On the other hand, the link ID 1002 in FIG. 10 describes a combination of the cause node ID “1” and the affected node ID “2”.

Next, processing step S63 executed when it is determined Yes in step S62 and there is a virtual network link for change management data (FIG. 12) will be described. In this step, cause side additional man-hours, cause-side additional costs, influence-side additional man-hours, and influence-side additional costs in the change management data (FIG. 12) are acquired, and cause-side addition in the virtual element network data (FIG. 10). Data is set for each of the man-hour, cause-side additional cost, influence-side additional man-hour, and influence-side additional cost, and the number of changes is incremented by one. In this case, 0.4 and 0.75 are additionally recorded in the columns of the additional man-hour of the cause ID 1 and the additional man-hour of the affected object ID 2 for the link ID 1002, respectively. The number of changes indicates 0 when there is no change record in the past, and indicates the number when there is a change record.

Before processing so far, there is a change record for the combination of the same cause node and influence node, and when another change record is newly added this time, additional cause side man-hours, cause side additional cost, addition of influence side Each average value is set as the man-hour and the influence side additional cost. The average value is obtained by multiplying the previous value by the previous change count, adding the current value, and then dividing by the current change count (the value obtained by adding 1 to the previous change count).

Next, it is determined whether all the records in the change management database in FIG. 12 have been processed. If the process has been completed (Yes), the process proceeds to step S65. If the process has not been completed (No), the process returns to step S61 to continue the process.

Finally, when the processing of all the records in the change management database (FIG. 12) is completed in step S65, the virtual element network database modified as described above is generated (duplicated) as the element network database 11. As described above, the element network generation unit 102 corrects the virtual element network data using the change management database 3e, and outputs it as the element network database 11.

As described above, the element network generation unit 10 generates an element network by associating various data related to plant construction using the engineering database 3 such as the design database 3a and the change management database 3e. Note that the timing of executing the process of the element network generation unit 10 may be executed at any time based on the judgment of the person in charge of the element network database 11, or each database such as the design database 3a and the change management database 3e It may be executed automatically every time it is updated, or it may be executed automatically at a scheduled date and time, such as once a day or once a week.

Next, other parts constituting the construction data management apparatus 1 will be described. As described above, the element network database 11 is generated by the element network generation unit 102, and an example of the data format is as shown in FIG.

The change impact evaluation unit 12 has a function of extracting an impact range and an impact amount in advance by searching the element network database 11 based on the proposed change and outputting the result as an impact link list when the change occurs. The configuration includes a change plan input unit 120 and an impact evaluation unit 121.

First, each part which comprises the change influence evaluation part 12 is demonstrated.

The change plan input unit 120 examines a change plan of a part in charge of a person in charge such as a designer, a procurement manager, or a construction manager, and then creates data of the change plan in a predetermined format to generate an impact evaluation unit. It is about to transmit to 121. The change plan data is created as one record data per change plan by the person in charge according to the data format (FIG. 12) defined in the change management database 3e using a data editing tool such as the database management system 2. . However, since the proposed change is unconfirmed information at this stage, it is not necessary to input all the items in the data format of FIG. 12, and at least the cause ID, the influence ID, the cause side additional man-hour, and the cause side addition Cost information may be created, and the remaining items may be blank or an initial value of zero may be entered if unknown. In the following description, the person in charge is a design person and the change plan is a design change plan.

In the impact evaluation unit 121, based on the design change plan data transmitted from the change plan input unit 120, the design change target part, the part that is directly affected, the process, the book, etc., the change target side impact amount, etc. The influence range is extracted and the amount of influence is calculated by searching the data in the element network database 11 until no influence is found on the element network database 11.

Here, detailed processing contents of the impact evaluation unit 121 will be described with reference to data examples in FIGS. 11 and 12 and a flowchart in FIG. In the flowchart of FIG. 14, first, in step S70, all records of the element network data are read from the element network data (FIG. 11).

Next, in step S71, the change plan data related to the design transmitted from the change plan input unit 120 is read. Hereinafter, the change plan data will be described using the example of the management ID 101 in FIG. That is, in this example, the management name is the collection tank nozzle position change, and cases where the cause ID and the influence object ID are 1 and 2, respectively, are extracted as the design change proposal.

Next, it is determined in step S72 whether or not the influence route (link) of the read change plan data exists in the element network data of FIG. The determination method is to check whether there is element network data in which the combination of the cause and the influence in the change plan data matches the combination of the cause and the influence nodes. If it exists (Yes), the process proceeds to step S73. If it does not exist (No), the process proceeds to step S77.

Here, a method of determining whether or not the combination of the cause node and the influence node in the element network data matches the combination of the cause and the influence object in the change plan data is the same as that of the element network generation unit 102 described in FIG. Similar to step S62 in the processing flow, there are two methods: a method of checking the match of component IDs and a method of checking the match of component type IDs. Hereinafter, for the sake of simplicity, the former determination method will be described as an example.

In the example of the management ID 101 and element network data (FIG. 11) that are the change plan data, the cause ID and the influence ID in the former management ID 101 are 1 and 2, respectively. Next, when the cause node ID and the influence node ID in the latter element network data of FIG. 11 are searched, it can be extracted that the link IDs 1002 corresponding to the respective data 1b and 2a are applicable. Here, since the alphabet of node ID is a suffix indicating the component element, it can be ignored here. Therefore, in this example, the condition determination in step S72 is Yes.

Next, a description will be given of the processing step S73 that is executed when the influence route (link) of the change plan data exists in the element network (when it is determined Yes in step S72). In this step S73, the link ID (1002) extracted in step S72 is registered in the influence link list. The influence link list is created for each input change plan data, and its configuration is composed of a link ID data string indicating the range of influence covered by the change plan as illustrated in FIG.

In the influence link list registered in this case, for management ID 1, the proposed change name is the collection tank nozzle position change, and the cause ID and the influence object ID are 1 and 2, respectively. Furthermore, 0.25 person is registered as the cause side additional man-hour and 0 is registered as the cause side additional cost in this influence link list.

Next, in step S74, it is determined whether or not there is an influence path (link) of the element network in which the affected node further affects other elements. Specifically, in this case, it is determined whether or not an influence path (link) whose cause node is an influence node ID affected by the change (influence node 2a in the column of link ID 1002 in FIG. 11) exists in the element network. To do. In the example of FIG. 11, there are two examples in which 2a is described in the cause node column of IDs 1003 and 1004. In the IDs 1003 and 1004, the influence nodes when 2a is the cause node are 2b and 1b.

As described above, when there is an influence path (link) of the element network in which the affected node ID affected further affects other elements (when determined Yes in step S74), the process proceeds to step S75. If not, the process proceeds to step S77.

Process step executed when the affected node (2a in this example) that is affected has an influence route (link) of an element network that further affects other elements (when determined Yes in step S74) S75 will be described. In this step, it is determined whether or not the link extracted in step S74 is a link opposite to the already extracted link. For example, in the virtual element network of FIG. 9, the relationship between the links 1002 and 1004 corresponds to this. Of the two data of ID1003 and 1004 extracted in step S74, the latter link 1004 is opposite to the already extracted ID1002 link, so it is determined Yes, and the former does not have a reverse extracted link. No is determined.

If it is determined that the link is not in the opposite direction to the already extracted link (if it is determined No in step S75), the process returns to step S73 to continue the process. Otherwise, the corresponding link ID is set in the influence link list. The process proceeds to step S76 without registration. Here, the reason for not registering the reverse link has already incorporated the reverse effect in the influence amount (cause side additional man-hour, cause-side additional cost, influence side additional man-hour, influence side additional cost) in the already extracted link This is to avoid the double influence amount consideration.

Next, processing step S76 that is executed when it is determined that the direction is opposite to the already extracted link (when determined Yes in step S75) will be described. In this step, it is determined whether or not the processing of all the influence links extracted in step S74 has been completed.
If all have not been completed (if determined No in step S76), the process returns to step S75 to continue the process, otherwise the process proceeds to step S77.

Finally, in step S77, referring to the causal side additional man-hour, the causal side additional cost, and each affected link ID in the data of the influence link list, the total additional man-hour and the total of the influence amount due to the proposed change are calculated. The additional cost is calculated and registered in the influence link list data.
In calculating the influence amount from the influence link ID, the element network database 11 is searched using the influence link ID as a key, and the cause side additional manpower, the cause side additional cost, the influence side additional manpower, and the influence side additional cost are calculated from the corresponding record. Each influence amount may be extracted. When there are a plurality of corresponding records, the average value of each influence amount may be calculated. Further, when the influence amount of the corresponding record overlaps with the influence amount inputted with the change plan (example: cause side additional man-hour 0.25 man-day in FIG. 15, cause side additional man-hour 0.4 man-day in link ID 1002 in FIG. 11. ), Preferentially adopt the input value (0.25 man-days) of the proposed change.

As described above, the impact evaluation unit 121, based on the design change plan data transmitted from the change plan input unit 120, the part to be changed, the part that is directly affected, the process, the book, and the like, the change target The influence range is extracted and the influence amount is calculated by searching the data in the element network database 11 until no influence is found in the element network database 11.

As described above, when a change occurs, the change impact evaluation unit 12 searches the element network database based on the proposed change, extracts the impact range and the impact amount in advance, and affects the result. Output as a linked list.

Next, returning to FIG. 1, the description of another apparatus constituting the construction data management apparatus 1 will be continued.

The display control unit 13 reads each database of the element network database 11 generated by the element network generation unit 10, the influence link list data generated by the change impact evaluation unit 12, or the engineering database group 3, and is in a format such as text or graphics Then, a display signal is transmitted to the display device 4. Thereby, for example, the following can be displayed on the display device 4.

As an example of display, the element network database 11 is visualized. Here, FIG. 16 is a diagram showing an example of display of element network data in element units based on the design drawing, FIG. 17 is a diagram showing an example of display of schematic element network data, and FIG. It is a figure which shows an example of the display of the element network data per component based on a figure.

In these graphical representations, for example, as illustrated in FIGS. 16, 17, and 18, the influence relationship of each part is superimposed and displayed on the graphic showing the connection relationship of each element with an arrow 90. Clarify and visualize each other's connection and impact relationships. Similar to FIG. 3, FIG. 16 shows an example in which an element network based on a design diagram as shown in FIG. 8 and a schematic element network deformed as shown in FIG. 9 are graphically displayed. . In FIG. 18, the display is simplified not for each element but for each part. In this case, the display of the influence relationship within the part (for example, 90d is an example) is omitted.

The arrows to be displayed in these display examples may be all records included in the element network database 11, but only the records with the number of changes greater than 0, that is, the links that have changed in the past may be targeted. . Or you may distinguish and display the display form (a magnitude | size, thickness, the kind of line, etc.) of an arrow according to the past change frequency. By doing in this way, a link can be displayed according to the frequency with which the change occurred in the past.

Furthermore, For example, FIG. 19 is a diagram showing an example of the display of the influence range in element units based on the design drawing, and FIG. 20 is an example of the display of the schematic influence range. FIG. 21 is a diagram showing an example of the display of the influence range in component units based on the design drawing.

In these expressions, the display of the arrow shape (size, thickness, line type, etc.) is changed according to the size of the impact amount (for example, the sum of the additional effort on the cause side and the additional effort on the impact side). It is possible to recognize the magnitude of the impact at a glance. Alternatively, the form (size, thickness, line type, etc.) of the arrow to be displayed may be changed according to the number of changes, so that the number of changes can be recognized at a glance. it can. The arrows 90a to 90d in FIGS. 17 and 18 are displayed in bold lines larger than the other arrows, indicating that the influence amount or the number of changes is larger than a predetermined value. Further, the details of the influence amount may be displayed by selecting an arrow representing the influence relationship of each part with an input device such as a mouse. In addition, it is desirable to clearly indicate the relationship between parts and elements and processes and books related to them. This is because the relationship with the design database is sufficiently displayed, but the relationship with other databases is sparse.

In addition, in each figure of FIG.16, FIG.17, FIG.18, the example of the detailed information displayed when the arrow 91a of influence relationship is selected is shown to 91b.

可視 As another display example, visualization of impact link list data is given. For example, a part included in the change plan and its influence relation are superimposed and displayed on the graphic indicating the connection relation of each element with an arrow or the like. In these drawings, reference numeral 92 denotes an influence route (link) of the change plan, and 93 denotes a route (link) further influenced by the change plan. Regarding the arrow indicating the route included in the proposed change, the display form such as the size and thickness may be distinguished from the others. Further, the total additional man-hours and the total additional cost 94 included in the influence link list data may be displayed.

In FIG. 21, the display of the influence relationship in the part (for example, 93a is an example) is omitted as in FIG. Further, as shown in 95, 96, and 97, the display form such as the color of the display object may be changed for the parts that cause the change and the parts and elements that are affected by the proposed change.

By doing so, the information of each database of the element network database 11, the influence link list data, or the engineering database group 3 can be displayed on the display device 4 in the form of text, graphics, etc. Will be able to visualize the impact of their proposed changes.

The display device 4 is a display device such as a CRT, LCD, or PDP, and displays text, graphics, or the like on the screen in accordance with a display signal transmitted from the display control unit 13.

As described above, the construction data management method, the construction data management device, and the construction data management system of the present invention can manage the design data, the management data, and the design data without burdening the person in charge more than necessary. In addition to automatically and highly accurately associating various data using existing data such as process data and book data and actual change data, and when changes are made based on relevant information between the various data The impact can be calculated with high accuracy based on the past results and presented to the proposer of the change plan. By considering the presented impact, it is effective when the proposer makes a decision on whether to adopt the change proposal formally (register it in the change management database 3e) or to make another change proposal. Can be supported, and as a result, the efficiency of the entire construction project can be improved.

As described above, the construction data management method, the construction data management device, and the construction data management system according to the present invention can be used to manage existing data such as design data without burdening the person in charge more than necessary in managing various data related to construction. As a result, the relationship between various data is automatically and accurately built using the engineering data and the actual change data, and the impact when changes are made is based on past information based on the relevant information between the various data. Intention to adopt the change plan formally (register it in the change management database 3e) or to plan another change plan by calculating with high accuracy based on this and presenting it to the proposer of the change plan The proposal can be effectively supported when the proponent makes the decision, and as a result, the efficiency of the entire construction project can be improved. For example, various engineering databases related to construction and various computer systems such as PCs, servers, mobile information terminals connected to the management system of the database, and construction data operating on the computer system The present invention can be applied to management software.

DESCRIPTION OF SYMBOLS 1 Construction data management apparatus 2 Database management system 3 Engineering database group 4 Display apparatus 10 Element network production | generation part 11 Element network database 12 Change influence evaluation part 13 Display control part 100 Element division part 101 Virtual element network production | generation part 102 Element network production | generation part 120 Change plan input unit 121 Impact assessment unit 90, 91a, 92, 93 Arrow 91b indicating the impact relationship of each unit Example of detailed information displayed when an arrow representing the impact relationship is selected 94 Total additional man-hours and total addition to the change plan Cost examples 95, 96, 97 What is affected by the proposed change

Claims (10)

1. A method for managing various data related to the construction of a structure composed of a plurality of parts,
   An element division step for dividing the part into elements that do not affect elements that affect other parts that are connected to the part, and elements that do not have an influence on each of the parts that make up the structure. And a virtual element network generation step for generating virtual element network data that defines an influencing element on the affected side and an influencing element on the affected side for each connection of the divided elements; and The change management data that is a set of past change history data is included in the change management data, the change management data generation step for generating data including the cause, the influence, and the degree of the influence, and the virtual element network data is included in the change management data Element network generation step of generating element network data by assigning the degree of influence based on past cases Construction data management method of a structure characterized by comprising.
2. In the construction data management method of the structure according to claim 1,
   In the element network generation step, when searching for the virtual element network data corresponding to the change management data, the cause and influence IDs included in the change management data, and the cause side of the virtual element network A first method for checking the coincidence of component IDs assigned to an element and an influencing element, a component type ID relating to the causative and influencing substances included in the change management data, and the causal element of the virtual element network A construction data management method for a structure, characterized in that it is specified by a second method for checking the coincidence of component type IDs related to the influence side element.
3. In the construction data management method of the structure according to claim 2,
   The part data ID in the second method is a construction data management method characterized in that each part is divided into predetermined installation units at a construction site.
4. A method for managing various data related to the construction of a structure composed of a plurality of parts,
   An element division step for dividing the part into elements that do not affect elements that affect other parts that are connected to the part, and elements that do not have an influence on each of the parts that make up the structure. And a virtual element network generation step for generating virtual element network data that defines an influencing element on the affected side and an influencing element on the affected side for each connection of the divided elements; and The change management data that is a set of past change history data is included in the change management data, the change management data generation step for generating data including the cause, the influence, and the degree of the influence, and the virtual element network data is included in the change management data Element network generation step of generating element network data by assigning the degree of influence based on past cases A change plan input step for creating and inputting change plan data for evaluation in a predetermined format, and based on the change plan data, an object to be changed, an item directly affected by the change plan, and a change target side By extracting the influence amount and searching the data of the element network until no influences are found in multiple ways, the entire influence range is extracted and the entire influence amount is calculated, and the result is influenced. A construction data management method for a structure, comprising: an impact evaluation step of outputting as a linked list.
5. A device that manages various data related to the construction of a structure composed of multiple parts,
   An element dividing means for dividing a part into a plurality of parts constituting a structure and an element that has an influence on other parts that are connected to the part and an element that has no influence when the part is changed A cause-side element that influences for each connection of the divided elements, virtual element network generation means for generating virtual element network data that defines the affected-side element on the affected side, and the structure Change management data that is a set of past change history data, change management data generation means for generating data including a cause, an influence, and the degree of the influence, and the virtual element network data are included in the change management data Element network generation means for generating element network data by assigning the degree of influence based on past cases; Display control means for controlling the display content based on the data and a display device, wherein the display device includes a plurality of divided components together with connections between elements and arrows from the cause side element to the influence side element A construction data management device for a structure characterized by being displayed.
6. In the construction data management apparatus for a structure according to claim 5,
   In the display on the display device, the divided element is a node, the connection between the divided elements is a link, and the arrow from the cause side element to the influence side element is displayed along the link. Construction data management device for the featured structure.
7. In the construction data management device for a structure according to claim 5 or 6,
   The construction data management device for a structure is characterized in that the display from the causal element to the influencing element is changed according to the magnitude of the degree of influence.
8. In the construction data management device for a structure according to claim 5 or 6,
   The construction data management device for a structure is characterized in that the display on the display device is numerically expressed for the degree of influence on each of the cause side and the influence side.
9. Engineering database group that stores data related to construction of structures such as design data, parts data, process data, book data, and past change history data of the structure,
   Change management data generation means for managing data of the engineering database group and generating data including cause, influence and influence degree as change management data which is a set of past change history data of the structure Equipped database management system,
   The data of a plurality of parts constituting the structure stored in the engineering database group is taken, and when each part of the plurality of parts is changed, the other parts connected to the part are affected. An element dividing unit that divides the part into elements that do not affect elements and elements, and a virtual element that defines an influencing cause element and an affected influencing element for each connection of the divided elements. A virtual element network generating means for generating element network data, and an element having an influence degree based on past cases included in the data generated by the change management data generating means in the database management system. Construction data management comprising element network generation means for generating network data Location,
   A construction data management system for a structure composed of a display device that displays display contents based on the various data.
10. In the construction data management system of the structure according to claim 9,
    The construction data management device creates a change plan data for evaluation in a predetermined format and inputs the change plan input means, and based on the change plan data, the object to be changed, an object directly affected by it, Then, the influence amount on the change target side is extracted, and the data of the element network is searched until no one that is affected in a multiple manner is found, thereby extracting the entire influence range and calculating the entire influence amount. A structure construction data management system comprising: an impact evaluation means for outputting the result as an impact link list; a display control means for controlling display contents based on the various data described above; and a display device.

Images