JP2003281248A - Comprehensive building asset diagnostic system - Google Patents

Abstract

<P>PROBLEM TO BE SOLVED: To provide a building assets diagnostic system for obtaining diagnostic information necessary for maintenance coming across in the whole life of a building. <P>SOLUTION: This comprehensive building assets diagnostic system is provided with a comprehensive building assets main system MS having a start processing subsystem SS1 encoding the names of components of the building and the names of parts to be used and registering a grade coefficient according to diagnosis serviceable life data of the components of the building and using conditions and a determination coefficient of the computation results, a document diagnosis subsystem SS2 calculating basic points by amount distribution ratio of the components, a visual observation diagnosis subsystem SS3 correctively calculating the calculation of the document diagnosis subsystem based on the visual observation data, and a repair degree evaluation subsystem SS4 evaluating the repair degree based on the calculation of the visual observation diagnosis subsystem. This system evaluates the assets of the building based on the data of the components. <P>COPYRIGHT: (C)2004,JPO

Description

Detailed Description of the Invention

[0001]

BACKGROUND OF THE INVENTION 1. Field of the Invention The present invention relates to a comprehensive building asset diagnosis system for obtaining diagnostic information necessary for maintenance and maintenance which is encountered in a lifetime of a building and information for evaluating the asset value thereof.

[0002]

2. Description of the Related Art A building (also referred to as a building.
Diagnostic information necessary for maintenance and maintenance that is encountered during a lifetime from new construction (construction) to dismantling and removal of business establishments, buildings, bridges, dams, and other various structures and artificial structures) Information such as identification (diagnosis) and repair (repair) of obstacles (defectives) in a building, or asset value of the building at a specified point in time is based on human coping when a trouble occurs, so-called expert rules of thumb. It is based on a dependent assessment. Such an evaluation has a large number of arbitrary elements, and there are many variations depending on the individual and empirical elements of the person who evaluates.

For this reason, at present, some building-related persons are concerned with building materials (framework), finishing / interior materials, and equipment for buildings that often include obstacles (including incidental equipment and devices). All materials that compose a building, such as equipment, or equipment are collectively referred to as constituent members.) A limit life is set, and statistical common divisors and experience are obtained by combining fixed-term / fixed-rate repairs and component life renewal costs due to the limit life. There is an attempt to obtain predictive maintenance information by the law. However, this approach is limited to the major components as it is difficult to cover all of the components of the building.

[0004]

Originally, in particular, buildings such as office buildings and condominiums are mostly local assemblies made by individual production except for mass-produced prefabricated buildings, and they are built into buildings. Is the difference in aging characteristics depending on its components, including the above-mentioned prefabs (
Differences in physical strength and aging by individual) occur. The existing trouble-occurrence type repair measures, that is, repair measures to be carried out as symptomatic treatment each time a trouble occurs, are only on an ad hoc basis, and are not treated in consideration of the balance of the entire structure, and other structural members are disturbed. If it occurs, re-repair is required, which increases lifetime cost.

The service life of a building is longer than that of other industrial products, and the lifetime maintenance cost (life cycle cost L.C.
C. ) And information on comprehensive asset management such as large-scale repairs that occur on the way have not been prepared. In view of such a situation, an object of the present invention is to provide a building asset diagnostic system for obtaining diagnostic information necessary for maintenance for a lifetime of a building (building). The purpose of the present invention is not only to provide a comprehensive diagnostic system for building assets, which can create and provide building diagnostic information in a format that can be used by the general public.

[0006]

It is well known that regarding the deterioration information of the structural members of the building, there are respective lifespans (set lifes, verified lives, expected lives, etc.) and repairs occurring during use. The present invention employs the following means in order to achieve the above object. That is, (a) numerically evaluate the aged deterioration information of the entire building and necessary parts, taking into consideration the engineering research results (theoretical predicted value) involved in the service life of components and repair and the verification value at the time of diagnosis. By doing so, we aim for quantification. (B) Regarding the quantity and price information of the components of the building, the cumulative quantity based on the new construction, the refurbishment blueprint, the specifications, etc.,
Create quantification information based on the estimated construction price.
(C) Deterioration diagnosis combining (a) and (b) above obtains comprehensive information such as the lifetime maintenance cost of each building and the time required for large-scale repair, the amount of the cost, and the like.

(D) Due to the large amount of data handled at the time of deterioration diagnosis and the necessity of speeding up calculation processing and business processing, the building planning and acquisition (calculation) of lifetime information at the time of new construction, etc. will be performed after the calculation. Since there are many various parameters in the evaluation diagnosis simulation, the use of an information processing organization (hereinafter also referred to as a computer system) is a condition. With that computer system, predictive calculation with theoretical values is carried out, and the diameter year diagnosis at the time of operation of the building is
Input visual data according to the actual conditions at that time, perform empirical calculation, and confirm and correct the prediction.

Further, in the field of building diagnosis, the present invention comprehensively diagnoses and judges a building by covering all three major categories of structure, finish, and equipment, and the result is judged by traffic signals (blue, yellow, It is expressed in red), and once diagnostic data is created, it is continuously diagnosed and designated deterioration level (degradation degree designation (0-100
%)) And designated diagnosis year (also designated diagnosis year (currently, x years from now)).

For the life of the deterioration level judgment and repair data, for example, 100 kinds of arguments (combination of data types such as setting, verification, publication, etc. and combinations of data sources such as Ministry of Land, Infrastructure, Transport and Tourism, Association of High-rise Housing Management, NTT, etc.) can be registered. Data from individual diagnosis can also be registered as master data (= system master data, factor master data). As for the diagnosis of the building property comprehensive diagnosis system of the present invention and the evaluation of the result, the so-called AI is adopted so that the diagnostician's way of thinking is reflected.
System configuration.

FIG. 1 is a conceptual diagram of a building asset comprehensive diagnosis system according to the present invention. In the present invention, data of common materials, equipment, and durability performance (master data) common to all buildings
It has a master file that stores On the other hand, the data of the material, equipment, and durability performance of the individual property (individual building) which is the object of diagnosis are input (input). Executes the process of matching the input data with the corresponding data stored in the master file (docking), and as a result obtains the management information for each age-dependent durability of individual buildings, which will be described later (output). .

According to the comprehensive building asset diagnosis system of the present invention, the lifetime necessary cost of a building, the necessary repair time and its cost are calculated at the time of each diagnosis by the engineering prediction calculation and the actual condition verification calculation of the entire structural members of the building. Can be obtained as follows. In other words, preventive maintenance items: Periods when the degree of deterioration of each building component is slight (function maintenance and life extension effect can be obtained) Symptom repair items: Degradation of each building component can be partially repaired Period (function recovery and repair effect can be obtained) Renewal and repair item ・ ・ ・ Period when deterioration of each component of the building requires replacement (function improvement and new life can be obtained) Large-scale repair item ・ ・ ・ Roof, outer wall A time when large-scale treatment is required even for full-scale deterioration repair such as, and temporary construction such as scaffolding and curing (construction cost and advance measures of construction impact are possible) Simultaneous repair items: Composition with a degree of deterioration Time when there is a merit by repairing the parts at the same time (cost effectiveness, construction impact forecast can be obtained)

According to the building asset diagnosis system of the present invention, it is possible to easily provide the information for solving various problems at the current maintenance site by the simulation calculation according to the given condition for each evaluation parameter as follows. In other words, a) From where in the building is damaged and what is the situation (by component, aged deterioration state) b When and where should repairs of damaged parts be dealt with (priority of repair by component) (Order and suitability) c How much is needed for repair and who will bear it d How is the cost, method and timing of the repair evaluated? (Optimum repair time, recovery effect during repair and after repair) e What happens to the future of the building if repaired (presence or absence of re-repair and effect on the entire building) f What will happen to the future of the building if not repaired (progress of deterioration and effects on other healthy parts) )

It is needless to say that the present invention is not limited to the above-mentioned constitution and the constitution of the embodiment described later, and various modifications can be made without departing from the technical idea of the present invention.

[0014]

BEST MODE FOR CARRYING OUT THE INVENTION Embodiments of the present invention will now be described in detail with reference to the drawings of the embodiments. FIG. 2 is a block diagram for explaining the configuration of an embodiment of the comprehensive building asset diagnosis system of the present invention. The system TS includes a building asset comprehensive diagnosis main system (diagnosis) MS1 and a building asset comprehensive diagnosis main system (management) MS2. Hereinafter, the building asset comprehensive diagnosis main system (diagnosis) MS1 is abbreviated as the diagnostic system MS1, and the building asset comprehensive diagnosis main system (management) MS2 is abbreviated as the management system MS2.

The diagnostic system MS1 includes a start processing subsystem SS1 and a document diagnosis (primary) subsystem SS.
2. It is composed of a visual diagnosis (secondary) subsystem SS3, a repair degree evaluation subsystem SS4, and an end processing subsystem SS5. The management system MS2 is composed of a diagnostic chart screen report subsystem SS6 and a management notebook creation support subsystem SS7.

FIG. 3 is a block diagram for explaining the general configuration of a computer system that operates the comprehensive building asset diagnosis system of the present invention. The computer system includes a central processing unit CPU, a display DP, and a keyboard K.
B, a data input device AM1 that uses a floppy disk (trademark name, the same applies hereinafter) and other data storage media, a printer PTR, a data storage device (storage device) DB, and an auxiliary storage device AM2 that uses a floppy disk and other data storage media. , A communication control device CC, and the like. Each of these components is organically connected by a bus line BL.

Although not shown, functions such as RAM and ROM for arithmetic processing, which are usually installed in a computer system, are built in a functional block shown by the central processing unit CPU. In addition, a data storage device (storage device) DB
Also stored in the CPU are various programs for data processing in the central processing unit CPU and system control (operating system OS, application program AP operating in this system, etc.). The communication control device CC is not indispensable, but is required when transmitting and receiving such various data and evaluation results of the present invention via a communication network such as the Internet.

FIG. 4 is a functional block diagram for explaining the configuration of one embodiment of the comprehensive building asset diagnosis system of the present invention, and the central operation in FIG. 3 necessary for executing the processing procedure described in FIG. 5 and thereafter. The configuration of a main part provided in a functional block of a processing device CPU will be described. In FIG.
Reference numeral M1 is property data extraction means, M2 is deterioration prediction calculation means, M3 is correction calculation means with actual values, M4 is comparison calculation means with modified values, M5 is data input means, M6 is screen display means, and M7 is form printing. Means, M8 is a control means.

The data storage device DB has a first storage part DB1, a second storage part DB2, and a third storage part DB3,
The first storage DB1 has respective data storage areas of a system master data file F1, a data file F2 after primary calculation, a data file F3 after comparison calculation, and a data file F4 after correction calculation. Property data file F5, property master data file (primitive data file) F6, property master data file (visual data file) F7, property master data file (modification data file) F8, modification data based on theoretical values in the second storage DB2 It has data storage areas of a file F9 and a rediagnosis data file F10.

The third storage DB3 stores execution program files such as an operating system (OS) and application programs (AP) necessary for operating this system. In the following, the first
The data files stored in the storage unit DB1 and the second storage unit DB2 are also simply referred to as files.

In the system master file F1 of the first storage DB1, the names of the structural members of the building and the names of the parts to be used are coded and registered for each section, and the diagnostic life data of the structural members of the building are registered. And the grade coefficient (exponential increase / decrease index of life) according to the usage conditions (location condition, usage condition, management condition) is registered. Further, the determination coefficient (degree of repair depending on the deterioration state) of the calculation (calculation) result and the message (phenomenon due to the deterioration state and countermeasure comment) are registered. An example of the above encoding is shown in "Table 1" and "Table 2".

[0022]

[Table 1]

[0023]

[Table 2]

The post-primary calculation data file F2 shows the deterioration points by age of the building and the reduced asset value based on theoretical values, and the post-comparison calculation data file F3 contains the pre-repair data and post-repair data, and the post-correction data. The file F4 stores the deterioration points by age of the building and the reduced asset value based on the verification value. Further, the property data file F5 of the second storage DB2 contains the component material quantity, the amount of money and the building summary data, and the property master data file (primitive data file) F6 contains the component material quantity, the amount of money, the building summary data and life of the building. -Grade data is in the property master data file (visual data file) F7, and component material quantity and price, building outline data and life, grade data and visual allocation data are in the property master data file (repair data file) F8. The number of components, the amount of money, the building outline data, the life / grade data, the visual allocation data, and the repair data are stored. Further, a theoretical data repair data file F9 for storing theoretical data and a rediagnosis data file 10 for storing rediagnosis data are provided.

FIG. 5 is a functional block diagram for executing maintenance of the system master file of FIG. The master maintenance processing (S-0) for performing maintenance of the system master file F1 only registers, updates, and deletes data with the keyboard KB and the display DP, and does not process or calculate (calculate) the data. If necessary, check the maintenance processing result by printing the system master name codebook or the system master diagnostic data sheet.

FIG. 6 is a functional block diagram of a start process for extracting property data from the property master data file (source data file) and the system master data file of FIG. In the property data extraction docking process (S-01), the property data of the building to be diagnosed is transferred from the data input device AM1 (here, a floppy disk) to the used part and the name, standard, and quantity of the constituent member of the building. By inputting the obtained amount and the acquisition amount, the registered lifespan and grade in the system master data file F1 are automatically extracted and docked with the property data to create the property master data. This property master data is stored in the property master data (primitive data) file F6.

The property data can be directly input from the keyboard KB without using the data input device AM1. In addition, the property master data (primitive data) described above can be output by a printer as a building outline and a specification quantity list.

FIG. 7 is a flow chart for explaining in more detail the flow of the start processing procedure based on the input of the system master file explained in FIG. 5 and the property data explained in FIG. System master data input (S-1)
The system master data file F1 has been created (see the description of FIG. 5). Property data is input according to the procedure described in FIG. 6 (S-2) and stored in the property data file F5.

The property data extracting means M1 of FIG. 4 extracts predetermined property data from the system master data stored in the system master file F1 and the property data stored in the property data file F5 (S-
3) A property master data file (primitive data) is created (S-4), and this is stored in the property master data file (primitive data) F6 to prepare for each diagnosis and evaluation process described later.

The building diagnosis and evaluation process includes document diagnosis (primary diagnosis), visual diagnosis (secondary diagnosis), and evaluation diagnosis (repair degree evaluation diagnosis). In the document diagnosis process, the property master data (primitive data) is called from the property master file (primitive data) F6, and basic points are calculated based on the monetary composition ratio of component members (weighting of asset composition).
The entire building assets are displayed with 100 points × 100 = 10000 points, and each component is made into basic points according to the amount composition ratio. The calculated basic points are stored in the data file F2 after the primary calculation.

Next, a calculation calculation for predicting the degree of deterioration over time and a calculation calculation for the required repair cost are performed based on theoretical values. This arithmetic expression is a. 1 formula (constant rate attenuation formula): Used as the initial set life b. Type 2 (Attenuation type for each aged section): Used for components whose aged repair rate is known c. Formula 3 (Depreciation declining balance formula): Life for the purpose of obtaining debt repayment resources d. Formula 4 (depreciation straight-line formula): Select from the lifespan for the purpose of obtaining the repair costs.

The degree of aging of the primary diagnosis is the location of the building,
It is a result of aged deterioration prediction calculation in which use, design, specifications, construction, management conditions, etc. are associated as grade factors with the inherent life of constituent members. The aged deterioration point, which indicates the degree of deterioration over time, is calculated by aged deterioration point = basic points x inherent life x grade coefficient x number of years elapsed according to calculation formula.

FIG. 8, FIG. 9 and FIG. 10 are flow charts for explaining the processing procedure of the building asset comprehensive diagnosis system of the present invention. FIG. 8 is a flowchart for explaining the procedure of the primary document diagnosis process, FIG. 9 is a flowchart for explaining the procedure of the secondary document diagnosis process, and FIG. 10 is a flowchart for explaining the procedure of the evaluation diagnosis process. In the primary document diagnosis process of FIG. 8, the property data is extracted from the property master file F6, and the deterioration level prediction calculation means M2 of FIG. 4 performs the deterioration level prediction calculation based on the theoretical value (S-5). The primary calculation data of the calculation result is 1
It is stored in the file F2 after the next calculation (S-6). Also,
The primary calculation data is printed out as various forms of document diagnosis (S-7).

The output of various forms is completed (S-8), and the evaluation diagnosis is started (S-9). When performing the evaluation diagnosis, the comparison calculation by the modified value of FIG. 9 is performed. If you do not perform evaluation diagnosis,
It is judged whether or not it is a management system process (S-10),
In the case of management system processing, that is, in the case of data management without performing subsequent diagnostic evaluation, the calculation result is displayed on the screen of the display DP and printed out on the management notebook.

When the diagnostic evaluation is continued, it is judged whether or not the secondary diagnosis (visual diagnosis) is performed (S-11), and when the diagnostic is not performed, the procedure is ended. When performing the secondary diagnosis (visual diagnosis), the visual data input processing of FIG. 8 is performed (S-12).
This visual data input is performed from the data input device AM1 or the keyboard KB which stores the data list of the visual inspection of the building separately. The input visual data is stored in the property master file (visual data) F7.

A correction calculation using actual values is executed based on the input visual data (S-13), and the calculation result is stored in the corrected calculation data file F4. In addition, the data after the correction calculation is output as various forms of visual diagnosis (S-
14). After the output of this form is completed, the evaluation diagnosis is started (S-16). When performing the evaluation diagnosis, go to the repair data input (S-18) of FIG. If you do not perform evaluation diagnosis,
The necessity of the processing as the management system is judged, and when the management system is executed, it is displayed on the display DP to report and the management notebook is printed.

When the management system is not executed, FIG.
Go to the repair data input (S-18). In FIG. 10, repair data based on the diagnosis result is input from a keyboard. A comparison calculation is executed based on the input repair data and the repair value stored in the property master data file F8 (S-19). The data after the comparison calculation is stored in the data file after the comparison calculation F3. The data after the comparison calculation is output as various forms of evaluation diagnosis (S-20).

After completion of output of various forms of evaluation diagnosis (S-2
1) It is determined whether or not the repair is to be performed (S-22).
When the repair is not performed, the above evaluation diagnosis data is stored in the property master data file (visual) F7. When carrying out the renovation, the evaluation diagnosis result is stored and saved in the property master data file (renovation) F8 (S-2).
3). With the above processing, the evaluation diagnosis processing ends.

By using this system, it is possible to obtain the diagnostic information necessary for the maintenance and maintenance that the building (building) encounters during its lifetime. By using this system, building diagnostic information can be created in a format that can be used by not only specialists but also ordinary people.

Building assets are owned by one owner from the ownership form.
It is classified into a single building management type and a multiple (group) management type of one building with multiple owners. The realization of a comprehensive building asset diagnosis system corresponding to such an ownership form can be solved by adding a group management function to the system described above. In the present embodiment, the problem can be solved by using the detailed statement of the construction cost as a product of the accumulating method which is universally used in the construction work. The detailed construction cost breakdown statement is originally prepared for the construction cost and cost control of the builder and the builder, and the waste statement that has been used is reused. For buildings that have already been abandoned over the years, re-count.

FIG. 11 is a block diagram for explaining another embodiment of the comprehensive building asset diagnosis system of the present invention. The building property comprehensive diagnosis system TS is composed of a data registration system §1, a diagnosis processing system §2, and a ledger creation system §3. The data registration system §1 has a factor master data registration subsystem SS01 and a property master data registration subsystem SS02. Further, the diagnostic processing system §2 is a start processing subsystem SS1, a primary document diagnostic system SS2, a secondary visual diagnostic subsystem SS.
3. It has a repair degree evaluation diagnosis subsystem SS4 and an end processing subsystem SS5. The ledger creation system §3 has a single-building management ledger subsystem SS71 and a plurality of building (group) management ledger subsystems SS72. The system of this embodiment can also use the maintenance data of the conventional method in an integrated manner, and can be used as a diagnostic timing even from the time of planning / new construction and from the time after operation.

FIG. 12 is a flow chart for explaining the system operation steps in another embodiment of the building asset comprehensive diagnosis system of the present invention. As shown in FIG. 12, the operation of this diagnostic system is as follows. Start diagnosis and perform primary diagnosis by document diagnosis. In this document diagnosis, the deterioration of the basic physical strength of the building when it is newly built is evaluated by leaving it to stand. In addition, after document diagnosis, aging management will be examined, and a repair plan for the deterioration prediction part, a budget plan, and a long-term repair plan will be formulated.

In the secondary diagnosis, the building is visually inspected. Deterioration diagnosis will be performed based on the actual state of aging of the building, and verification will be performed at the time of document diagnosis. As a result of the visual diagnosis, the necessity of emergency repair will be examined. Whether or not this emergency repair is necessary will be examined based on the result of visual inspection of the current state of the building and the priority of repair, and if it is left unattended. Based on this, a medium-term and single-year repair plan will be made.

After that, evaluation diagnosis is performed. In this evaluation diagnosis, the time and method of repair will be examined based on assumed repair data. Based on the evaluation diagnosis, the cost-effectiveness of the repair method and cost (repair cost) will be examined, the timing of repair, replacement, replacement, etc. will be examined, and the repair plan of the troubled part will be prepared.
If a repair plan determines whether or not to repair, and if repairs have been made, the next diagnosis will be based on that repair.

FIGS. 13 and 14 are flow charts for explaining the processing procedure of another embodiment of the comprehensive building asset diagnosis system of the present invention, and FIG. 14 continues from FIG. The detailed processing procedure of FIGS. 13 and 14 will be described with reference to the flowcharts of FIGS.

FIG. 15 shows the data registration step (P
FIG. 12 is a partial flowchart extracting the processing portion of the system master input and the system master file in -1), which corresponds to the processing in the factor master data registration subsystem of FIG. 11. The factor master data mentioned here is synonymous with the system master data in the above-mentioned embodiment. 16 is a flow chart for explaining the processing of FIG. 15 in detail. This process is executed by the factor master data registration subsystem SS01 of FIG. The durability performance of the entire building is specified by the life of each constituent material / device, but for these materials / equipment, there are names, specifications and standards that are commonly used during the production of the building. It is possible to diagnose aged deterioration by linking with.

The number of data of the constituent materials and equipment of the individual buildings is also said to be about 10 ^4. Code this to organize
Classify and register in advance as system master data. The system master data, which is individual component material / device data, may also be referred to as factor master data. Hereinafter, the master data may be simply referred to as the master.

The encoding of the system master in FIG. 16 is the same as that shown in Tables 1 and 2 above. System master file F that stores the system master
1 is "external factor file", "internal factor file",
It is composed of "life grade file" and "diagnosis evaluation file". Table 3 shows the details of each file. Note that information about buildings (building area, total area, etc.) other than those shown in Tables 1 and 2 is not familiar as common data, so it is input as a word processor.

[0049]

[Table 3]

Table 4 shows various condition data that affects the life data stored in the grade master file. As shown in Table 4, this data shows 100
Scoring points are given.

[0051]

[Table 4] This system master file F1 is subjected to maintenance such as registration / update / reference / deletion as necessary, and is printed out as a codebook or data list as needed.

FIG. 17 shows the data registration step (P
It is a partial flowchart of the registration procedure of the property master in -1), and corresponds to the process in the property master data registration subsystem SS02 of FIG. FIG. 18 is a flow chart for explaining the process of FIG. 17 in detail. Further, FIG. 19 is an explanatory diagram of “Estimation breakdown by building construction part” of the Architectural Institute of Japan, FIG. 20 is an explanatory diagram of an example of work type detailed items, and FIG.
FIG. 6 is an explanatory diagram of an example of partial data breakdown details summed up for each item (management item) without breakdown details. This processing is executed by the property master data registration subsystem SS02 of FIG. The durability performance of a building is quantified by the aggregate life of the materials and equipment that make up the three major categories (structure, specifications, equipment) of the building. The details of the construction cost breakdown statement prepared at the time of production of the building assets cover the whole quantity and acquisition price of the constituent materials and equipment, and these are used.

The data of names, quantities, and amounts of materials / equipment used for individual buildings is based on a detailed construction cost statement based on the "building costing method". Figure 1
As pre-processing for inputting the property data in 8, the work type detailed items of the property are stored in the property data file F51 based on the work type detailed items illustrated in FIG. 20, and based on the estimated breakdown by construction work parts illustrated in FIG. The estimate item for each part is stored in the property data file F52, and the detailed breakdown of the data for each part shown in FIG. 21 is stored in the property data file F53.

With respect to each of the data stored in these files F51 to F53, the material data files Fxx and Fyy are obtained by summing up the material cost, the construction cost, the transportation cost, etc. for each material / device of each item. , Fzz
To store. Next, the process of FIG. 18 will be described by taking the partial detailed item data, which is comprehensive data, as a representative.

FIG. 22 is an explanatory diagram of the processing of the partial detailed item data in FIG. Property data can be input manually using a keyboard, reading using an OCR device, reading using an external storage device (CD, MO, FD, etc.), reading from a main storage device such as a hard disk HD,
Etc. For this property data, the property data file and the master data file are matched and maintenance is performed. The property data file is updated with the data obtained as a result of maintenance, and files 1, 2, and 3 are generated.

File 1 is a specification data file of an individual diagnosis building, an example of which is shown in FIGS. 23 and 24. File 2 is the auxiliary data file of the individual diagnosis building,
And FIG. 26 shows an example thereof. Further, the file 3 is a reference data file of the individual diagnosis building, an example of which is shown in FIGS. 27, 28 and 29. Further, in this processing, in order to confirm the input data of the diagnostic building and to check the classification of building assets by type / part / weight of each item together with the weight of diagnosis, the data of the file shown in FIG. 24 is processed. Output the cost balance table for new construction. 30 and 31
An example is shown in.

FIG. 32 shows the start processing of FIG. 13 (P-2).
It is a partial flowchart which extracted the processing procedure of. Further, FIG. 33 is a flowchart for explaining the process of FIG. 32 in detail. This processing procedure is a process of creating the primitive data, and the data corresponding to each item of the property data file F5 generated after inputting the construction cost breakdown statement of the diagnosis property or itemized item data by management integration Inquires about the data on the system master file F1, calls up the data that matches the docking conditions by referring to it, adds to the existing property data, creates a source data file for the diagnostic property, and saves it in the property master source data file F6. To do.

The input file is composed of the detailed item data (data block 1) of the individual diagnostic building shown in Table 5 and the characteristic data (data block 2) of the individual diagnostic building shown in Table 6. Then, the data of the system master file is inquired about the diagnostic calculation data according to the breakdown detail data of the data block 1, and the diagnostic data (data block 3) of the factor master file shown in Table 7 is called.

[0059]

[Table 5]

[0060]

[Table 6]

[0061]

[Table 7]

FIG. 34 shows the data registration step (P
3 is a partial flowchart of the primary document diagnosis process in -3). This process corresponds to the process in the primary document diagnosis subsystem SS2 in FIG. Here, the property master file (primitive data) F6 is used to calculate deterioration of all registered materials / equipment by a logical value according to a specified time span, and primary calculation file F2 is generated to generate primary data. Print out various diagnosis documents (documents, various forms). Also, the screen of the medical certificate for customer is output. The deterioration calculation by the above-mentioned logical value is calculated as follows based on the data shown in Tables 5-6.

Calculation formula for primary diagnosis (aging deterioration of materials and equipment
( Calculation of points) (1) When calculated by the service life x annual secular change rate (1-1) Life = stacking layer coefficient x life limit year x system grade or individual grade (1-2) stacking layer coefficient = stacking layer position Coefficient according to
..Each part of the building structure is a one-layer or multi-layer structure, and the stacking layer coefficient (superimposition life extension effect index) is a coefficient that defines the life extension effect due to the overlapping use of materials,
It is set as shown in Table 8 by statistics and empirical rules.

[0064]

[Table 8]

For example, in the flat roof part, a waterproof mortar layer (plasterer work) is located at the bottom, an asphalt waterproof layer (waterproof work), a waterproof protective mortar layer (plasterer work), a lightweight concrete layer (concrete work), and a waterproof mortar. If the construction is done in layers (plastering), it will have a five-layer structure.

FIG. 35 is an example of the characteristic data of the individual diagnosis building corresponding to Table 6, and is an explanatory diagram of an example of the individual grade coefficient,
FIG. 36 is an example of a factor master file (system master file) corresponding to Table 7, and is an explanatory diagram of an example of a system grade coefficient. In addition, FIG. 37 shows the above-mentioned life ×
It is explanatory drawing at the time of calculating with a secular change rate. In the calculation in this case, (1-3) When data is registered in both the system grade and the individual grade, the individual grade data is adopted. (1-4) For the grade data, all arithmetic mean values input are used. (1-5) Calculate the effective deterioration rate by calculating the secular change rate up to 5% of the residual value. This is because the final residual value after the useful life of statutory cost amortization is 5%. (1-6) Calculate annual deterioration up to the effective deterioration rate. (1-7) If there is an aged section repair rate, calculate the rate of secular change within that section. (1-8) If there are repeated repair years and repeated repair rates, calculate up to the replacement limit year.

(2) When calculating with the legal cost depreciation limit year (when using the legal cost depreciation under the former Ministry of Finance Accounting Ordinance) (2-1) In the case of the low rate legal cost depreciation formula (amount of material / equipment) × (Amortization rate by material and equipment) =
Depreciation 1 (Amount of material / equipment-Depreciation 1) x (Amortization rate by material / equipment) = Depreciation 2 (Amount of material / equipment-Depreciation 2) x (Amortization rate by material / equipment) = Depreciation 3・ Repeated calculation up to the legal useful life for each material and device.

(2-2) Low rate formula In the case of statutory cost depreciation calculation formula (amount of material / equipment) x 0.9 / number of years since new construction ↓ Repeated calculation until the legal useful life for each material / equipment.

Calculation process of primary diagnosis 1. Aged point calculation: a. Calculation of primitive points (preparation for displaying the degree of secular change by the 100-point method) Building materials with the total amount of building assets set at 100.00 points
Calculate the individual source points of the device and prepare for the deterioration point output. Calculation formula: Amount of individual materials / equipment / total amount of building assets = primitive points b. Degradation point calculation Based on the life of each material / device and the designated calculation formula, the calculation of the entire required period with the maximum designated calculation period of 30 years is performed in 1-year intervals, and a file after calculation is generated and stored.

2. Various simulations and supplementary calculation (calculate the following calculation as necessary before outputting the calculation results) (2-1) Calculation of price increase simulation Calculation for price review due to price increase before and after diagnosis of diagnostic building ( 2-2) Tax accounting simulation calculation a. Declining balance depreciation Amortization Book value (tax reduction due to depreciation) and repair costs (loss) b. Straight-line depreciation calculation Amortization Book value (tax reduction due to depreciation cost) and repair cost (loss) c. Re-depreciation after service life 1/2 tax reduction of residual value after legal depreciation and repair cost (loss) d. Judgment of capital expenditures and deficit expenditures Comparison of deficit by handling repair expenses expenditures e. Re-depreciation of capital expenditures and calculation of loss handling The loss comparison calculation results of handling repair expenses are output on a display screen and printed by a printer.

The above-mentioned primary diagnosis result is generated as a primary calculation file F2. Generated primary calculation file F2
Output various forms as below. -Building asset comprehensive diagnosis report (see Fig. 23), building asset partial composition list (see Fig. 26), building asset composition detail list (see Fig. 24), building asset deterioration report (Fig. 38),
Building asset cost balance table (see FIGS. 30 and 31), building asset composition ratio table (see FIG. 29), building asset structure ratio table (see FIG. 28), annual point diagnosis table by building asset portion (FIG. 39), building asset Year-by-year point diagnosis table by work type (Fig. 4
0), Annual point diagnosis table by building asset system (Fig. 41),
Building asset aging depreciation list (FIG. 42), building asset aging chart (FIG. 43), building asset aging inspection request list (FIG. 44), building asset yearly repair plan list (FIG. 45).

The age-based inspection request list for building assets indicates a deterioration% as an index to be inspected, and prints out an age-dependent list according to the%. As for the repair plan list by building asset year, the file is read after calculation for each age, the deterioration% is determined, and the repair list is printed out for each of the five deterioration levels.

Next, the secondary visual diagnosis subsystem will be described. 46 and 47 are partial flowcharts of the secondary visual diagnosis process in the secondary visual diagnosis step (P-4) of FIG. 47 continues from FIG. The processing here corresponds to the processing in the secondary visual diagnosis subsystem SS3 in FIG.

1) To start the secondary diagnosis, the visual allocation data files 1, 2 and 3 are generated from the property master file (source data) F6 with the same structure and the same content as the source data. 2) Output the visual allocation point input list from the generated visual allocation point data file 1 to prepare for the current situation investigation. 3) Conduct a visual inspection of the current condition of the diagnostic building and enter the results in the visual allocation list using the 5-point method. 4) Input the numerical value of the score based on the entered visual score list from the data input means to the computer. 5) The input score value is the visual score data file 1,
Input to a few. 6) The visual allocation data file 1 is calculated based on the input allocation numerical values ("correction calculation S based on real numerical values S" in FIG. 47).
-13 ". 7) Generate a file of the calculation result (file F4 after the secondary calculation) and output the form of the secondary diagnosis result (visual inspection various form output S
-14) and screen output, and select the next work (diagnosis end, execution of secondary evaluation diagnosis, or creation of single building management ledger). The visual allocation data file 2 is used as a recovery file during the secondary evaluation diagnosis, and the visual allocation data file 3 is used as an improved file during the secondary evaluation diagnosis.

Next, the correction calculation by the above-mentioned real value, that is, the deterioration degree prediction calculation will be described. Data block 1 of the property master file (primary data) for property master files (visual allocation data) 1, 2 and 3 in FIG.
The data block 4 shown in Table 9 is added to (Table 5), 2 (Table 6), and 3 (Table 7).

[0076]

[Table 9]

Each item in the data block 4 shown in Table 4 has the following contents. Visual marking: Five-point marking is performed for the visually deteriorated state of the visual spot. Function allocation: Regarding the deterioration of the functions and performance of the visual parts,
5 points are assigned. Hazardous items: The materials and equipment in the visual area, if dropped or leaked, immediately damage a third party or leave them unattended.
If the next damage is expected, enter a score of 1 and a comment. Cautionary note: Enter the score 2 and a comment when the material / equipment in the visual area is in danger of being detected in the near future, or if there is an expectation that the damage will spread or spread if left unattended. Control coefficient: Five-level scoring is performed for the control status of the visually-observed part (factor master registration: see management conditions). Layer coefficient: 7-point scoring is performed for the usage status of materials and equipment that are superposed on the visual part (see the primary diagnosis: layer coefficient). Necessity of tertiary diagnosis: For materials / equipment in the visual area, if further advanced diagnosis is required from the current deterioration state, enter a score 3 and comment. Photo NO: Enter the reference number (number: NO) of the current photograph taken at the visual location. Visual observation: Enter the comment of the current observational obstruction at the visual location. Repair menu: Enter a comment on the repair method regarding the current condition of the visual part.

FIG. 48 is an explanatory diagram of the above-mentioned calculation formula for secondary diagnosis (calculation formula for aged deterioration points of materials and equipment). In the calculation in this case, 1. Process data condition set (Set the same time span as the primary diagnosis for the time span set for the diagnosis year and the required calculation period after diagnosis). 2. Aged point calculation a. Calculate the degree of deterioration (k%) of various materials and equipment at the time of diagnosis (at the time of visually allocating visual points). For items without points, the degree of deterioration at the time of diagnosis of the file after the primary diagnosis calculation (at the time of present visual allocation) is substituted. b. In the calculation of aged deterioration after the diagnosis, the calculated k% is substituted into the calculation formula of the primary diagnosis as the aged section repair rate of the data block 3 to calculate the aged deterioration degree. c. In all calculations, the entire requested period is calculated every one year, and a post-calculation file is generated and stored.

3. Diagnostic point calculation a. Calculation Elements and Factors FIG. 49 is an explanatory diagram of an evaluation method that considers the useful life from the physical, functional, and usage aspects that determine the useful life of a building asset. In addition, FIG. 50 shows visual marking criteria and deterioration degree.
It is an explanatory view of a basic phenomenon of a grade and a degree of deterioration. FIG. 51 is an explanatory diagram of an example of a building asset comprehensive diagnosis report. As shown in Fig. 49, as a factor that determines the useful life of a building asset, the useful life of its constituent materials and equipment is
It is considered to be the main element from the aspect of use to the side of the product. This will be described with reference to FIG. Further, "Table 10" shows an example of phenomena based on visual marking.

[0080]

[Table 10]

The overall evaluation of building assets is the apparent useful life A,
Consider physical service life (service life of materials and equipment) B and economic service life C. Physical service life B is physical service life C
1, the functional useful life C2, the usage surface useful life C3 as elements,
It is judged as follows. b. Calculation formula and judgment index Total judgment (remaining%) = (A + B + C) / 3 ≤70% ... (Improvement: preventive maintenance target) ≤50% ... (Repair: symptomatic maintenance target) ≤30% ... ( Update: Exchange and replacement)

[0082]   A: Appearance useful life: Judgment based on the current degree of deterioration by visual inspection (5-point visual allocation)               Remaining%: 0% ≤ Allocation point 1 <20% ... Overall damage               Remaining%: 20% ≤ Allocation point 2 <40% ... Overall deterioration               Remaining%: 40% ≤ Allocation point 3 <60% ... Partial deterioration               Remaining%: 60% ≤ Allocation point 4 <80% ... Local deterioration               Remaining%: 80% ≤ Allocation point 4 <100% ... Local damage

B: Economical useful life: judged by the ratio of aged repair costs to newly purchased materials and equipment 100- (age repair costs / new purchase costs) = remaining%

C: Physical service life: Total service life% judgment of material / equipment k% = (C + F + I) / 3 The reciprocal of k% obtained here is stored in the factor master file as the proof aging repair cost. . In addition, I is the degree of functional repair described later. C1: Physical service life-Calculation in which physical life changes depending on whether maintenance management is good or bad (regular component replacement or calculation of object to be used until it is worn out without being left for a long time) Life cycle point (remaining life) C = KN / A × B KN: Age after construction A: Physical life (usefulness limit x grade coefficient) B: Management evaluation point (control coefficient of factor master) Recalculation (supplement) Evaluation: None C2: Functional life-target Adjustment of appearance damage and functional deterioration (functioning as a whole even if there is local damage) Functional performance point (degree of functional repair) I = KN / A × D2 KN: Number of years elapsed since construction A: Physical life (usefulness limit x grade coefficient) D2: Functional evaluation point (visual deterioration of function) Recalculation (supplemental) Evaluation: Adopt the minimum value between the materials and equipment that are function-linked, and perform substitution recalculation. . C3: Useful life-Estimated calculation of visual damage and visible / hidden portion of the object (base of the visual inspection part, etc.) Maintenance point (degree of physical repair) F = D1 × E D1: Physical value (functional deterioration due to visual inspection ) E: Overlay usage of materials / equipment (overlap layer coefficient of primary diagnosis) Recalculation (supplementary) Evaluation: Adopt the minimum value between materials / equipment used for overlay, and perform substitution recalculation.

4. Various simulations and supplementary calculations Before outputting the calculation results, perform the following calculations as necessary. 1. Price increase simulation calculation diagnosis Calculation for price review due to price increase before and after building diagnosis 2. Tax accounting simulation calculation (a) Fixed-rate depreciation calculation Amortization book value (tax reduction due to depreciation expense) and repair cost (loss) comparison (b) Fixed-rate depreciation depreciation book value (tax reduction due to depreciation expense) and repair Comparison of expenses (loss) (c) Comparison of 1/2 tax reduction of residual value after statutory depreciation and repair expenses (loss) (d) Judgment of capital expenditure and loss expenditure Repair expenses expenditure (E) Re-depreciation of capital expenditures and calculation of loss handling Comparison of loss due to handling of repair expenses

C. Output of various forms of secondary diagnosis The result calculated in the above b is output on a display screen and printed. 1. Data pickup: When printing various forms, data is extracted and printed for the building components and work types that are specified to be extracted. 2. Form printing output: Using the post-calculation file generated by the aging point calculation, calculation and editing are performed based on the output conditions of each form, and the above-mentioned various tables are printed.

FIG. 52 shows the repair degree diagnosis step (P
It is a partial flowchart of the primary evaluation diagnosis related to the process of (-5). This process corresponds to the process in the repair degree evaluation / diagnosis subsystem SS4 in FIG.

A. Processing flow in the repair evaluation diagnostic subsystem The repair comparison calculation by the repair simulation value is applied to the file F2 after the primary diagnosis calculation (S-19), the file F31 after the comparison calculation is generated and stored, and various forms of the evaluation diagnosis are stored. Is printed and output on the screen. Then, the diagnosis is ended or the secondary diagnosis is executed.

This valuation process accounts for repair costs for the purpose of contributing to consideration of opportunity loss due to the occurrence of aging repair costs. Provides information on optimal repair magnetism through comparative examinations.

B. Machining operation in the repair evaluation diagnostic subsystem The calculation formula of the primary evaluation diagnostic (calculation of points for aging deterioration recovery of materials / equipment), (1) Processing data condition set / Diagnostic time span set: Regarding the time span set for request calculation feedback, the same span as at the time of primary diagnosis is automatically set.・ Set of evaluation standard values: Call the specified aging data from the file F2 after the primary diagnosis calculation, and the file F after the comparison calculation
It stores in 31. (2) Aged recovery point calculation-Select designated recovery method-Aged deterioration recovery calculation by the specified recovery method is performed and stored in the file F31 after comparison calculation.・ Retrieve required data from the stored file and print
Output to screen.

FIG. 53 is an explanatory diagram of evaluation calculation by designated restoration year. The evaluation calculation by designated restoration year is performed by automatic restoration calculation in the form of 100% restoration of the aged deterioration degree (= deterioration rate = repair degree) for each designated restoration year after diagnosis, which can be freely specified by three types, and the evaluation reference value It is written in parallel with, which facilitates comparison and examination. In FIG. 53, the designated restoration year is shown as a first restoration year, a second restoration year, and a second restoration year.

FIG. 54 is an explanatory diagram of the evaluation calculation for each designated restoration method. The designated restoration method-based evaluation calculation automatically restores 100% of each of the three designated repair types (improvement, repair, renewal) every designated years after diagnosis, and is displayed in parallel with the evaluation reference value. , Facilitates comparative examination.

Before outputting the above calculation results, various simulation calculations similar to those in the secondary visual diagnosis process are performed, and the post-calculation file generated by the aged point calculation is used to make a comprehensive report of building asset diagnosis and designated restoration. Yearly evaluation calculation results (yearly evaluation chart of building assets, point display, yearly evaluation chart of building assets, amount display), evaluation calculation results by designated restoration method (yearly evaluation chart of building assets, point display, building asset Output various forms such as the yearly evaluation chart of.

FIG. 55 shows a modification degree diagnosis step (P
It is a partial flowchart of the secondary evaluation diagnosis concerning the process of -5). This processing also corresponds to the processing in the repair degree evaluation / diagnosis subsystem SS4 in FIG. The post-secondary calculation file is stored in the post-comparison calculation file for use as a reference value for comparison calculation evaluation. The restoration / improvement data is input on the allocation sheet (FIG. 56, FIG. 57, FIG. 58, FIG. 59, FIG. 60).
Property master file 2 generated during the secondary diagnosis (Fig. 46
For reference, the restoration data A (FIG. 58) is input, restoration calculation is performed based on the restoration degree allocation point, and the result is stored in the file after comparison calculation. Property master file 3 generated during the secondary diagnosis
(Refer to FIG. 46), input the improved data B (FIG. 60),
The restoration calculation is performed according to the improvement degree score, and stored in the file after the comparison calculation. Above, these files are called, and the data of allocation, A restoration, and B modification are printed on a list with the allocation result as a reference value and output on the screen. After that, the diagnosis is ended or the end process is selected.

FIG. 61 is an explanatory diagram of the processing calculation (aging deterioration degree prediction calculation by restoration and improvement). This processing calculation is performed by the above-described calculation formula of the secondary evaluation diagnosis (calculation of points for recovery of aged deterioration of materials and equipment).・ A: When restoration method of restoration evaluation / deterioration repair is the same as that of the property master (primitive data) Restoration data is data that is not deleted or added to the original data. Comparison is possible.

B: Improvement evaluation calculation / deterioration degree When the restoration method is not the same as the property master (original data) The improved data is the original data with deletions or additions. Compared with the original data. In order to do so, matching processing is required. Consistency processing of composition data is as follows: source data part composition ratio matching formula = improved data part composition ratio /
(P ′ / P) FIG. 62 is an explanatory diagram of the original data partial composition ratio, the improved data partial composition ratio, and the original data partial matching composition ratio. Here, roofs, outer walls, and fittings are shown as examples. Note that the aged deterioration calculation after the improvement is the same as the above-mentioned A: restoration. In addition, before outputting the calculation result, the above-mentioned various simulations and supplementary calculations are performed as necessary. The results of each calculation are the above-mentioned building asset comprehensive diagnosis report, and a chart of building asset evaluation over time (points shown), see Fig. 63, chart of building asset assessment over time (displaying amount of money), see Figure 64, building asset portion Another point diagnosis table --- Refer to FIG. 65, and a point diagnosis table for each type of building property ---.

FIG. 67 shows the end processing step (P
It is a partial flowchart which concerns on the process of -6). This process corresponds to the process in the end processing subsystem SS5 in FIG. Property master file (visual allocation data) 1
When the repair is performed based on the property master file (recovery data) 2 and property master file (improvement data) 3, the repair calculation is performed and the data after the repair is saved.
If no modification is performed, save it as unmodified data.
The property master files generated after the calculation process at each diagnostic level are as follows. (1) Diagnostic property master file (primitive data) (2) Secondary diagnostic property master file (visual allocation) (3) Secondary diagnostic property master file (visual allocation + A:
Restoration) (4) Secondary diagnosis property master file (visual allocation + B:
Improvement)

FIG. 68 is a partial flowchart relating to the processing of the management ledger creating step (P-7) of FIG. This processing corresponds to the processing in the single-building management ledger subsystem SS71 in FIG. Here, the data for comprehensive management of each diagnosed building is stored and stored at the timing after each diagnosis, taken out as necessary, edited, and displayed and printed out on the screen.

FIG. 69 is a partial flowchart relating to the processing of the management ledger creating step (P-7) of FIG. This process is performed by the multi-building management ledger subsystem SS72 in FIG.
Corresponds to the processing in. Here, data for unified management of a plurality of diagnosed buildings as a group of buildings is saved and stored at the timing after each diagnosis, and extracted and edited as needed to display and print out a screen. In addition to various forms, a group management building general list as shown in Table 11 is output.

[0100]

[Table 11]

FIG. 70 is a practical operation flow chart of the system of the present invention. This system is operated by human work (M), computer work (C), computer work + to create input data from borrowed existing material (B)
It is executed by a combination of human work (C + M). The borrowed existing material (B) is processed for computer processing, and data is input by the input device. The computer processes the input data according to the system flow described above, and creates a medical certificate and a management notebook.

Next, the details of the building property comprehensive diagnosis system described above will be described. FIG. 71 is a conceptual explanatory diagram of the relationship between the frequency of failures in the lifetime of a building and aging. Figure 7
The source of 2 is a series of research on the maintenance and management of buildings, written by Osaka Institute of Technology graduate school professor, Dr. Kiyosyu Engineering, and Architectural Institute of Japan. We show the frequency of failures with age from the time of construction to the time of demolition to support future predictions, verification judgments, and repair over or over judgments by grasping secular failures based on their causes.

Repairs for malfunctions are classified into emergency repairs, ordinary repairs and special repairs. Emergency repairs are rain leaks, pipe leaks,
Ordinary repair such as sudden stop of function is operation maintenance and function maintenance, and special repair is large-scale repair and renewal replacement. Buildings are indicated by initial failure and aging failure, and early failures often occur in the early stages of new construction, and aging failures occur in a sloping year-round until the end of their life after new construction (construction).

FIG. 72 is an explanatory diagram of the lifetime cost of a building asset in which the asset value of the building is viewed over time, and is based on the asset model of the government office repair department. The horizontal axis shows the building act, time system (age), person in charge, required cost, cost correspondence, life cycle cost (LCC), and the vertical axis shows required cost. Looking at the timeline from the time of planning and designing of buildings to the time of demolition (clearing), cleaning maintenance, light heat operation out of the costs of repair and improvement, cleaning maintenance, light heat operation, general management in operation management , Each cost of general management is definite.

However, even though the cost of repair and improvement accounts for 29% of the cost required for operation management (a little less than twice the construction cost), it is difficult to predict both the repair point and the time, and so far. No fixed forecasting method has been established. The present invention makes it possible to reasonably predict the cost for repair and improvement within the entire operation management period.

FIG. 73 is an explanatory diagram in which a failure occurrence model is modeled due to aged fatigue deterioration of the structural members of the building. A building is a collection of systems that have different characteristics depending on the structure, finish, and equipment. Deterioration information of the structural part of the building is used as the basis for calculating the legal depreciation life. The meaning of each repair period is as follows. In other words, minor repair period: Some kind of failure occurs and requires daily repair or small-scale repair Medium repair period: Medium-scale repair or repair requiring major repair period: Large-scale repair or replacement required The aged fatigue deterioration of the structural portion is shown, for example, in a neutralization year (Y) = 7.2X ² , where X is a fog thickness (distance from concrete surface to reinforcing bar).

FIG. 74 is an explanatory diagram of a life model of a structural portion of a building. The figure shows that by the time the structural part of the building reaches the end of its life, the finishing part will reach the end of life twice and the equipment part will reach the end of life three times. The numbers in the figure indicate the year.

[0108] Fig. 75 is an explanatory view of the repair unit price of a model of a building by years, which is a model by government office building and aged by Ministry of Construction published in "Monthly Reform" 1985, 8 issued by Tetsudo Publishing Co., Ltd. It is based on the repair unit price (repair). When the unit price per year in FIG. 14 is multiplied by the number of years elapsed, the total cost is 153,420 yen / mm ² .

FIG. 76 is an explanatory diagram of the lifetime cost when the building asset comprehensive diagnosis system of the present invention is applied to the maintenance of the building, and shows the relationship between the failure due to natural deterioration after completion of the building and the repair cost. . The building asset comprehensive diagnosis system according to the present invention makes a point evaluation of natural neglected failure deterioration in the entire useful life after completion of a building asset of a building, and represents a repair cost according to the deterioration degree by a monetary evaluation, and a degree of effectiveness of each repair method. It is an endless judgment scale system that evaluates the degree of re-deterioration due to natural leaving after evaluation and repair.

FIG. 77 is an explanatory diagram of a failure due to natural standing after the building is completed and the management content thereof. In the figure, the degree of natural deterioration is shown in five levels from 1 to 5, and TS is the building property comprehensive diagnosis system of the present invention.

FIG. 78 is an explanatory diagram of an overall image of a repair plan and its implementation by the building asset comprehensive diagnosis system of the present invention. The building asset comprehensive diagnosis system TS of the present invention is composed of repair plan data and repair execution data, and the repair plan comprises a long-term repair plan, a medium-term repair plan, and an annual repair plan. In addition, repairs consist of large-scale repairs and single-year repairs. The repair execution data is fed back to the system of the present invention and used for repair data maintenance, post-inspection, and re-diagnosis.

FIG. 79 is a schematic diagram for explaining an example of a visual display of the current state evaluation of building assets by the comprehensive building asset diagnosis system of the present invention. 80 is an explanatory diagram of the legend of FIG. 79. The structure is displayed with a 10-point evaluation and color coding for each structural member from the foundation to the roof. In the figure, the double-hatched area is blue, the single-hatched area is yellow, and the dotted area is red. By performing such color display, the asset is evaluated together with the repair (repair) or the replacement required, and the asset value is displayed at a glance in the area of the blue region of the entire building.

FIG. 81 is a schematic diagram for explaining an example in which the present condition evaluation of building assets by the comprehensive building asset diagnosis system of the present invention is visually displayed by the degree of deterioration over time. In addition, FIG. 82 is a schematic diagram for explaining an example in which the present condition evaluation of building assets by the comprehensive building asset diagnosis system of the present invention is visually displayed for a designated number of years.

[0114]

As described above, according to the present invention,
A comprehensive building asset diagnostic system that can obtain diagnostic information necessary for maintenance and maintenance that a building (building) encounters for a lifetime and that can create diagnostic information for a building in a format that can be used by not only professional engineers but also the general public. Can be provided.

[0115]

[Brief description of drawings]

FIG. 1 is a conceptual diagram of a building asset comprehensive diagnosis system according to the present invention.

FIG. 2 is a block diagram illustrating a configuration of a comprehensive building asset diagnosis system of the present invention.

FIG. 3 is a block diagram illustrating a schematic configuration of a computer system that operates the building asset comprehensive diagnosis system of the present invention.

FIG. 4 is a functional block diagram illustrating the configuration of an embodiment of the comprehensive building asset diagnosis system of the present invention.

5 is a functional block diagram for performing maintenance of the system master file of FIG.

FIG. 6 is a functional block diagram of start processing for extracting property data from the property master data file (source data file) and the system master data file of FIG.

7 is a flowchart for explaining in more detail the flow of a start processing procedure based on the input of the system master file described in FIG. 5 and the property data described in FIG.

FIG. 8 is a flowchart illustrating a procedure of a primary document diagnosis process.

FIG. 9 is a flowchart illustrating a procedure of secondary document diagnosis processing.

FIG. 10 is a flowchart illustrating a procedure of evaluation diagnosis processing.

FIG. 11 is a block diagram for explaining another embodiment of the comprehensive building asset diagnosis system of the present invention.

FIG. 12 is a flowchart illustrating system operation steps in another embodiment of the comprehensive building asset diagnosis system of the present invention.

FIG. 13 is a flowchart illustrating a processing procedure of another embodiment of the comprehensive building asset diagnosis system of the present invention.

14 is a flowchart illustrating a processing procedure of another embodiment of the building asset comprehensive diagnosis system of the present invention, which is subsequent to FIG.

FIG. 15 is a partial flowchart in which a system master input and a system master file processing part in the data registration step (P-1) of FIG. 13 are extracted.

16 is a flowchart illustrating the process of FIG. 15 in detail.

17 is a partial flowchart of the registration procedure of the property master in the data registration step (P-1) of FIG.

FIG. 18 is a flowchart illustrating the process of FIG. 17 in detail.

[Fig. 19] "Estimation breakdown by building construction part" by the Architectural Institute of Japan
FIG.

FIG. 20 is an explanatory diagram of an example of work type detailed items.

FIG. 21 is an explanatory diagram of an example of a partial data breakdown detail summed up for each item (management item) without a breakdown breakdown.

22 is an explanatory diagram of processing of partial detailed item data in FIG. 18. FIG.

FIG. 23 is an explanatory diagram of a specification data file of an individual diagnosis building.

FIG. 24 is an explanatory diagram of a specification data file of an individual diagnosis building.

FIG. 25 is an explanatory diagram of an auxiliary data file of an individual diagnosis building.

FIG. 26 is an explanatory diagram of an auxiliary data file of an individual diagnosis building.

FIG. 27 is an explanatory diagram of a reference data file of an individual diagnosis building.

FIG. 28 is an explanatory diagram of a reference data file of an individual diagnosis building.

FIG. 29 is an explanatory diagram of a reference data file of an individual diagnosis building.

30 is an explanatory diagram of a cost balance table at the time of new construction in which the data of the file shown in FIG. 24 is processed.

FIG. 31 is an explanatory diagram of a cost balance table at the time of new construction in which the data of the file shown in FIG. 24 is processed.

FIG. 32 is a partial flowchart in which the processing procedure of the start processing of FIG. 13 is extracted.

FIG. 33 is a flowchart illustrating the process of FIG. 32 in detail.

FIG. 34 is a partial flowchart of the primary document diagnosis process in the data registration step of FIG. 13.

FIG. 35 is an explanatory diagram of an example of an individual grade coefficient of the characteristic data of the individual diagnostic building corresponding to Table 6.

FIG. 36 is an explanatory diagram of an example of a system grade coefficient of a factor master file (system master file) corresponding to Table 7.

FIG. 37 is an explanatory diagram of a case of calculating by (life expectancy × yearly change rate).

FIG. 38 is an explanatory diagram of a building asset aging deterioration calculation form.

FIG. 39 is an explanatory diagram of a yearly point diagnosis table for each building asset portion.

FIG. 40 is an explanatory diagram of a yearly point diagnosis table for building asset type.

FIG. 41 is an explanatory diagram of a yearly point diagnosis table by building asset system.

[Fig. 42] Fig. 42 is an explanatory diagram of a list of reduction values of building assets by age.

FIG. 43 is an explanatory diagram of a building asset aging chart.

FIG. 44 is an explanatory diagram of a building asset age-specific inspection request list.

FIG. 45 is an explanatory diagram of a repair plan list.

FIG. 46 is a partial flowchart of the secondary visual diagnosis process in the secondary visual diagnosis step of FIG. 13.

47 is a partial flowchart following FIG. 46 regarding the processing of the secondary visual diagnosis in the secondary visual diagnosis step of FIG. 13.

FIG. 48 is an explanatory diagram of a calculation formula for secondary diagnosis (calculation formula for aged deterioration points of materials / equipment).

[Fig. 49] Fig. 49 is an explanatory diagram of an evaluation method that considers the useful life from the physical, functional, and usage aspects that determine the useful life of a building asset as an element.

FIG. 50 is an explanatory diagram of a basic phenomenon of visual scoring criteria, deterioration degree / score and deterioration degree.

FIG. 51 is an explanatory diagram of an example of a building asset comprehensive diagnosis report.

FIG. 52 relates to the process of the repair degree diagnosis step of FIG.
It is a partial flowchart of the next evaluation diagnosis.

FIG. 53 is an explanatory diagram of evaluation calculation by designated restoration year.

FIG. 54 is an explanatory diagram of evaluation calculation by designated restoration method.

FIG. 55 relates to the process of the repair degree diagnosis step of FIG.
It is a partial flowchart of the next evaluation diagnosis.

FIG. 56 is an explanatory diagram of a point allocation sheet for inputting restoration / improvement data.

FIG. 57 is an explanatory diagram of a point allocation sheet for inputting restoration / improvement data.

FIG. 58 is an explanatory diagram of a point allocation sheet for inputting restoration / improvement data.

FIG. 59 is an explanatory diagram of a point allocation sheet for inputting restoration / improvement data.

FIG. 60 is an explanatory diagram of a point allocation sheet for inputting restoration / improvement data.

FIG. 61 is an explanatory diagram of processing calculation (aging deterioration degree prediction calculation by restoration and improvement).

FIG. 62 is an explanatory diagram of a source data part composition ratio, an improved data part composition ratio, and a source data part matching composition ratio.

[Fig. 63] Aged evaluation chart of building assets (point display)
FIG.

[Fig. 64] Fig. 64 is an explanatory diagram of an age-based evaluation chart (amount display) of building assets.

FIG. 65 is an explanatory diagram of a point diagnosis table for each part of building assets.

[Fig. 66] Fig. 66 is an explanatory diagram of a point-by-class diagnosis table for building assets.

67 is a partial flowchart relating to the processing of the end processing step of FIG. 14. FIG.

68 is a partial flowchart relating to the processing of the management ledger creating step of FIG. 14. FIG.

FIG. 69 is a partial flowchart relating to the processing of the management ledger creating step of FIG. 14;

FIG. 70 is a practical operation flowchart of the system of the present invention.

FIG. 71 is a conceptual explanatory diagram of the relationship between the frequency of failures in the lifetime of a building and aging.

[Fig. 72] Fig. 72 is an explanatory diagram of a lifetime cost of a building asset when the asset value of the building is viewed over time.

[Fig. 73] Fig. 73 is an explanatory diagram modeling a failure occurrence due to aged fatigue deterioration of structural members of a building.

FIG. 74 is an explanatory diagram of a life model of a structural portion of a building.

[Fig. 75] Fig. 75 is an explanatory view of a repair unit price of a model of a building by years, and is based on the government building's model by years of repair.

FIG. 76 is an explanatory diagram of a lifetime cost when the building asset comprehensive diagnosis system of the present invention is applied to maintenance of a building.

[Fig. 77] Fig. 77 is an explanatory diagram of a failure caused by natural standing after the building is completed and its management content.

[Fig. 78] Fig. 78 is an explanatory diagram of an overall image of a repair plan and its implementation by the building asset comprehensive diagnosis system of the present invention.

[Fig. 79] Fig. 79 is a schematic diagram for explaining an example of a visual display of the current status evaluation of building assets by the comprehensive building asset diagnostic system of the present invention.

80 is an explanatory diagram of a legend of FIG. 18. FIG.

[Fig. 81] Fig. 81 is a schematic diagram for explaining an example in which the present condition evaluation of building assets by the comprehensive building asset diagnosis system of the present invention is visibly displayed as aged deterioration degree.

[Fig. 82] Fig. 82 is a schematic diagram for explaining an example in which the current status evaluation of building assets by the comprehensive building asset diagnosis system of the present invention is visibly displayed over a specified period of time.

[Explanation of symbols]

TS building asset comprehensive diagnosis system MS1 Building asset comprehensive diagnosis main system (diagnosis) MS2 Building asset comprehensive diagnosis main system (management) SS1 start processing subsystem SS2 Document diagnosis (primary) subsystem SS3 Visual diagnosis (secondary) subsystem SS4 Rehabilitation evaluation subsystem SS5 end processing subsystem SS6 diagnostic chart screen reporting subsystem SS7 management notebook creation support subsystem CPU Central processing unit DP display KB keyboard AM1 data input device AM2 auxiliary storage PTR printer DB data storage device (storage device, database) CC communication controller BL bus line.

Claims (6)

[Claims] 1. A start processing sub that encodes the name of a building component and the name of the part that uses it, and registers the life data for diagnosis of the building component, the grade coefficient according to the usage conditions, and the determination coefficient of the calculation result. System, a document diagnosis subsystem that performs basic point calculation based on the amount composition ratio of components, a visual diagnosis subsystem that performs correction calculation on the calculation results of the document diagnosis subsystem based on visual data, documents and A comprehensive building asset diagnosis system characterized by having a building asset comprehensive main system that has a repair degree evaluation subsystem that evaluates the degree of repair based on the calculation results of the visual diagnosis subsystem . 2. A building asset comprehensive diagnosis management main system having a diagnostic chart screen report subsystem for displaying and reporting a diagnostic chart of the building asset comprehensive main system in the building asset comprehensive main system. The building asset comprehensive diagnosis system according to claim 1. 3. A building asset comprehensive diagnosis management main system having a management notebook creation support subsystem for creating the document and the diagnostic chart of the visual diagnosis subsystem as a management notebook in the building asset integrated main system. The building asset comprehensive diagnosis system according to claim 1 or 2. 4. A system data file in which the names of building component members and the names of the parts that use them are coded, and the diagnostic life data of the building component members, the grade coefficient according to the usage conditions, and the judgment coefficient of the calculation result are registered. And the data file after the primary calculation that stores the result of making the basic points by the amount composition ratio in the basic point calculation by the amount composition ratio of the above-mentioned components, and the correction calculation by the actual value is executed based on the input visual data. A post-correction calculation data file that stores the result of the comparison, and a post-comparison calculation data file that stores the result of performing a comparison calculation based on the input renovation data and the pre-repair data stored in the property master data file, Property primitive data stored in the property primitive data file and theoretical repair by processing and calculating this property primitive data A post-comparison data file that stores the results of comparison calculations performed based on the data and the pre-repair data that is stored in the property master data file, and a property data file that stores the quantity and price data of the components of the diagnostic building , Property master data file (primary data file) that stores the docked diagnostic data required for property data calculation, and property master data file (visual data that docks the diagnostic data by visual inspection to the primitive data (visual data File) and the property master data file (repair data file) that stores the data for docking the repair data for comparative diagnosis to the visual data, and the visual data in the repair data file, and the data obtained by deleting data other than the necessary data from the repair data. Property master data store to store File (re-diagnosis data file), property data extraction means for extracting data of building components, deterioration degree prediction calculation means for predicting the deterioration degree of the building, and deterioration degree prediction by visual data Correction calculation means by an actual value for correcting the calculation result of the calculation means, and a comparison calculation means by a correction value for calculating a repair cost by comparing the calculation result of the correction calculation means with a reference repair value
A comprehensive building asset diagnosis system characterized by having a computing means having, and comprehensively diagnosing and judging a building by capturing it in three major categories: structure, finish, and equipment. 5. A screen display means for displaying a multi-color display is provided, and the result of comprehensive diagnosis and judgment by grasping the building in three major categories of structure, finish, and equipment is expressed by color. The building asset comprehensive diagnosis system according to claim 4. 6. A form printing means is provided, and a result of comprehensively making a diagnostic judgment by grasping the building in three major categories of structure, finish and equipment is output to a form. Comprehensive diagnosis system for building assets.