Asbestos diagnostic system

Abstract

To allow for a simple on-the-spot determination by making an AI determination by comparing image information obtained by capturing an image showing whether asbestos is mixed into building materials with stored determination images.SOLUTION: An asbestos diagnostic system causes a first data terminal 2 that has an asbestos diagnostic program installed, is equipped with a camera function, and is operated by a business operator, a second data terminal 3 operated by a client, and a server device 1 that acquires captured images of partitioned spaces in a building structure photographed by the first data terminal 2, to communicate via a specified communication medium. The system has a configuration in which the server device 1 determines whether asbestos is used in a building 200 by simple image processing by operating a first camera 2-2 and a second camera 2-3 connected to the first data terminal 2 operated by the business operator.SELECTED DRAWING: Figure 1

Description

Technical Field

[0001] The present invention relates to an asbestos diagnosis system that supports a service for estimating renovation and demolition costs by AI-determining the usage status of asbestos used in buildings.

Background Art

[0002] Asbestos as a building material is often used in buildings built before 1995 (Heisei 7), steel-frame buildings of three stories or more, buildings built in fire prevention areas and quasi-fire prevention areas, kitchens, bathrooms, drying rooms, boiler rooms, etc. where sprayed asbestos is used as a fireproof coating material. This is stated in the materials disclosed by the Ministry of Land, Infrastructure, Transport and Tourism. Also, regarding so-called formed plates, which are building materials produced by mixing asbestos, the use of asbestos was prohibited in Japan in 2006 (Heisei 18), and it is said that a huge amount of asbestos-containing building materials, said to be tens of millions of tons, still remain in the country.

[0003] Therefore, regardless of the construction period and scale, a preliminary investigation to check for asbestos-containing building materials is obligatory when demolishing or renovating buildings, structures, and ships, and it has attracted attention as a new industry with public-private cooperation.

[0004] Specifically, for the preliminary investigation, first, an investigation based on design drawings and other documents and a visual inspection of the presence or absence of specific building materials on-site are conducted. When it is not clear whether asbestos is contained in both investigations, an investigation by analysis is conducted. However, when it is considered that asbestos is contained and asbestos dispersion prevention measures, etc. based on laws and regulations are taken, it may not be necessary to conduct an investigation by analysis in some cases.

[0005] On the one hand, the building owners who wish to renovate or demolish a building will conduct the above-mentioned preliminary investigation through a professional. However, it takes a considerable amount of time (preliminary investigation → schedule adjustment → sample investigation) to actually collect samples from the building and obtain the judgment results of a professional institution. Currently, there are few service providers who can immediately determine how much it will cost for building maintenance, building demolition, etc.

[0006] In addition, in buildings where asbestos is used as a spraying material, strength reduction and damage occur over a long period of time, and it shows the property of being damaged by a little external pressure (impact · abrasion). When it is deteriorated or damaged, it shows the property of being very easy to scatter.

[0007] Therefore, the legal system is being developed. The "preliminary investigation" of asbestos based on the Air Pollution Control Law and the Asbestos Hazard Prevention Regulations requires a certain amount of knowledge about asbestos, such as "persons having experience in asbestos removal work among building asbestos-containing building material investigators, asbestos work supervisors who have completed the skill training, and persons registered with the Japan Asbestos Investigation and Diagnosis Association", and accurate judgment is required according to the notification of the Ministry of Health, Labour and Welfare.

[0008] On the other hand, Patent Document 1 below discloses "a simple building material analysis method in which building materials collected from a building are used as building material samples without being pulverized, but directly or cut or broken into a predetermined shape, and after observing the cut or broken surface of the building material sample with a scanning electron microscope, when fibers are confirmed, the diameter of the fibers is measured and the composition is analyzed." It is possible to determine the usage state of asbestos by image processing by a survey institution by collecting samples to check for the presence of asbestos used in the building structure.

Prior Art Documents

Patent Documents

[0009]

Patent Document 1

Summary of the Invention

Problems to be Solved by the Invention

[0010] However, when reforming, demolishing, or newly constructing a building, since the accuracy and period of the judgment results by each asbestos inspection agency vary widely, starting from choosing a contractor and up to the actual demolition and the like, a considerable period and investigation costs are incurred, and a system that discloses a prompt and detailed explanation and low-cost on-site as required by the owner has not been proposed, and its improvement has been eagerly desired. In addition, among real estate ownership companies and construction-related companies, there is also a growing trend to reduce the CO2 emissions generated during the renovation or demolition of buildings involving asbestos removal and disposal, and to want to patent and process them.

[0011] The present invention has been made to solve the above problems. At the site of an asbestos inspection target, building materials suspected of containing asbestos used in the building are imaged, and the image information and the accumulated judgment images are subjected to AI comparison processing to simply determine the probability of asbestos content on the spot, and when asbestos is contained, calculate the asbestos removal and disposal costs, and provide an asbestos diagnosis system that can support the creation of an estimate for building renovation or demolition.

Means for Solving the Problems

[0012] The asbestos diagnosis system of the present invention for achieving the above object has the following configuration.

[0013] The asbestos diagnosis system according to the present invention includes a first data terminal on which an asbestos diagnosis program is installed via a predetermined communication medium and which is operated by a contractor equipped with a camera function, a second data terminal operated by a requester who requests an asbestos removal work order, and a server device that can communicate with the first data terminal to acquire an imaging image of a partitioned space among the building structures imaged by the first data terminal. The server device includes a determination image database that stores a verification image obtained by learning sample image information in which asbestos is detected from the imaging image information of the structure imaged in the partitioned space of the building structure, an instruction means for instructing imaging conditions including an imaging position for analyzing and narrowing down the imaging image acquired from the first data terminal, a determination means for AI-determining an asbestos content evaluation index by comparing the imaging image captured under the imaging conditions with the verification image stored in the determination image database, an estimation means for estimating the asbestos removal and disposal costs used in the building structure using the asbestos content evaluation index determined by the determination means, and a transmission means for transmitting the estimate data estimated by the estimation means to the first data terminal.

Effect of the Invention

[0014] According to the present invention, at the site of the asbestos investigation target, the image information captured of whether asbestos is mixed in the building materials used in the building structure and the stored determination image are subjected to AI comparison processing, and on-site, a service can be supported to calculate the asbestos removal cost and create an estimate together with the simple determination result.

Brief Description of the Drawings

[0015]

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Mode for Carrying Out the Invention

[0016] Next, the best mode for carrying out the present invention will be described with reference to the drawings.

[0017] <Explanation of System Configuration> 〔First Embodiment〕 FIG. 1 is a block diagram for explaining the configuration of the asbestos diagnosis system according to this embodiment.

[0018] In FIG. 1, reference numeral 1 denotes a server device, which is configured to be capable of two-way communication with a first data terminal 2 operated by an asbestos removal contractor and a second data terminal 3 operated by a requester who requests an asbestos removal construction via a WIFI network 100. Reference numeral 200 denotes a building, assuming a two-story house constructed using the 2 / 4 construction method, for example. The requester who requests an asbestos removal construction plans to demolish the building 200 and construct a new house.

[0019] Reference numeral 201 denotes a roof part, where asbestos parts 201-1 and 201-2 to which building materials are attached by spraying method are present at the joint part (light steel frame) of the beam, and the wall material 202 includes an asbestos part 202-1 to which building materials are attached by spraying method at the intersection of the roof part 201 and the wall material 202.

[0020] Similarly, the second-floor wall part also includes an asbestos part 202-3, and the floor part includes an asbestos part 202-2. The first-floor wall part 203 also includes an asbestos part 203-1, and the floor part includes an asbestos part 203-2.

[0021] In addition, the requester who requests asbestos removal work is assumed to be the one created during the period designated as the building subject to asbestos inspection. Therefore, in this system, it is assumed that the requester who requests asbestos removal work sends an inspection request to the contractor using the homepage or email.

[0022] In the first data terminal 2, 2-1 is a wireless antenna, which is configured to be able to communicate bidirectionally with the server device 1 and the second data terminal 3 of the requester via the WIFI network 100 according to a predetermined protocol.

[0023] 2-2 is the first camera, which has a normal imaging function and is configured to be able to operate a strobe (not shown) to clearly image the wall image even in the attic.

[0024] 2-3 is the second camera, in which an endoscope-type nozzle body and a camera unit are connected via an optical fiber cable. With a hole opened in the wall material 202, the nozzle is inserted to image the inner heat insulation material and the pillar part of the wall at the lower part to obtain an internal image. For the second camera 2-3, the first data terminal 2 is provided with an interface for operating an endoscope-type microscope.

[0025] In addition, the resolution of the camera image is not particularly limited, but it is possible to obtain a clear image by adopting a 4K camera.

[0026] 2-4 is a communication unit, one side of which is connected to the wireless antenna 2-1 and the other side is connected to the controller 2-5. The controller 2-5 is connected to the display unit 2-6, the memory 2-7, and the operation unit 2-8 via an internal bus, starts the OS and the downloaded applications stored in the memory 2-7 to perform various data processes, and installs the asbestos diagnosis program downloaded from the server device 1. When imaging specific parts of the walls, floors, and ceilings of a building described later, it is configured to transfer a pattern image of a predetermined size cut out by the asbestos diagnosis program to the server device 1. During the activation of the asbestos diagnosis program, the operation unit 2-8 displays the location of the building to be imaged and the imaging conditions on a UI screen (not shown) and gives an imaging instruction.

[0027] The second data terminal 3 of the requester is configured to be able to communicate with the server device 1 and the first data terminal 2 of the contractor via the WIFI network 100 through the communication unit 3-2 and the wireless antenna 3-1.

[0028] The controller 3-3 executes various data processes by executing the OS and applications stored in the memory 3-6. 3-4 is a display unit that displays information necessary during the activation of the application, and executes a process of transmitting information input or selected by the requester by operating the operation unit 3-5 to the server device 1 or the first data terminal 2.

[0029] The server device 1 is connected to the WIFI network 100 via the communication unit 1-2 and the wireless antenna 1-1, and is configured to be able to communicate bidirectionally with the first data terminal 2 of the contractor and the second data terminal 3 of the requester.

[0030] 1-3 is a CPU that starts the asbestos diagnosis program by executing the OS and various applications stored in the memory unit 1-4, acquires the image data captured from the designated location of the building managed by the asbestos requester imaged by the first data terminal 2, and compares it with the verification images stored in the database described later to notify the first data terminal 2 of the presence or absence of asbestos materials determined by simple judgment.

[0031] In 1-5 of the determination image database, verification images are stored that have learned sample image information in which asbestos was detected from among the captured image information of structures imaged in the partitioned spaces of the building structure.

[0032] Note that the determination image databases 1-5 are assigned IDs with an eye to roofing materials, wall materials, floor materials, etc. according to the characteristics of the structure, and the image samples at the designated locations imaged by the first camera 2-2 and the second camera 2-3, and the image samples to be compared and inherited are restricted, and the inside of the database is hierarchically constructed so that verification results can be obtained easily in a short time.

[0033] FIG. 2 is a block diagram for explaining the configuration of the server device 1 shown in FIG. 1, and the configuration of the software stored in the following memory unit 1-4 will be described.

[0034] In FIG. 2, 1-4-1 is an instruction unit, and information for designating an imaging location to the imager is transmitted to the first data terminal 2 operated by the contractor for locations in the building 200 of the requested house where there is a high possibility of asbestos presence.

[0035] Note that the imaging location can be specified by inputting the structure information of the building (including rebar and steel frame information), the floor number information, and the completion date, and by designating parts where there is a high possibility of asbestos use (ceiling space, stair joints, pipe joints) from the server device 1, the burden on the imager can be reduced and the possibility of detection can be increased.

[0036] Furthermore, the server device 1 may be configured to be able to specify the sampling location for the parts where samples should be collected as specimens.

[0037] 1-4-2 is a determination unit that executes a process of AI-determining an asbestos content evaluation index by comparing the captured image captured under the imaging conditions with the verification image stored in the determination image database 1-5. The imaging conditions are configured such that the imaging position can be set for each of the outer wall, eaves, roof material, facing coating material, heat insulating material, heat insulation material, cylindrical material, pipe, pit, spraying material, internal wall, internal ceiling, and internal floor.

[0038] 1-4-3 is an estimation unit that executes a process of estimating the asbestos removal and disposal costs used in the building structure using the previously stored asbestos content evaluation index. The estimation means is configured to be able to estimate the asbestos removal and disposal costs used in the building structure by asbestos removal method.

[0039] 1-4-4 is a transmission unit that executes a process of transmitting the estimate data estimated by the estimation unit 1-4-3 to the first data terminal 2 of the contractor. 1-4-5 is an application form creation unit that executes a process of creating an application form for applying for a subsidy assisted by the administrative agency for asbestos removal.

[0040] Figure 3 is a block diagram for explaining the configuration of the first data terminal 2 shown in Figure 1, and the configuration of the software stored in the following memory 2-7 will be explained. In Figure 3, 2-7-1 is a notification unit that executes a process of notifying the estimate data obtained from the server device 1 to the second data terminal 3 operated by the requester.

[0041] 2-7-2 is an acceptance unit that executes an acceptance process of officially accepting an asbestos removal work request from the first data terminal 2 as a contract. 2-7-3 is a creation unit that executes a process of creating an asbestos removal work schedule based on the asbestos removal work request by the requester.

[0042] Figure 4 is a diagram showing an example of the determination image pattern stored in the determination image database 1-5 shown in Figure 1.

[0043] In FIG. 4, TYPE1 to TYPEN are types that identify the structural parts of a building. Type TYPE1 corresponds to the roof, type TYPE2 corresponds to the wall, and type TYPEN corresponds to the floor. Note that the types are assumed to be assigned to the functions classified in the demolition work item pre - investigation sheet described later.

[0044] The material - specific IDs are classified into 1 to N corresponding to each of TYPE1 to TYPEN, and it is assumed that codes (not shown) are assigned.

[0045] Therefore, by collating the IDs assigned to the captured image data obtained by the determination unit 1 - 4 - 2 from the first data terminal 2, the search range of the determination image database 1 - 5 is limited, and it is configured to be able to simply determine the presence or absence of asbestos use in a short time.

[0046] Also, as shown in the figure, since there are patterns specific to the construction locations for TYPE1 to TYPEN, the contractor can be configured to receive instructions from the server device 1 on which position to capture an image if it is a roofing material among the buildings to be investigated.

[0047] Note that P - 1 - 1 to P - 1 - N indicate asbestos image patterns specific to roofing materials, P - 2 - 1 to P - 2 - N indicate asbestos image patterns specific to wall materials, and P - N - 1 to P - N - N indicate asbestos image patterns specific to floor materials.

[0048] Also, the determination image database 1 - 5 regularly acquires and learns asbestos images published on the WEB, and further stores, as image data attached to TYPE1 to TYPEN, the asbestos images missed in the simple determination. The data is managed by the server device 1 to improve the determination level.

[0049] Figs. 5 to 11 are diagrams showing an example of a pre-demolition work item pre-investigation sheet used by the asbestos diagnosis system according to this embodiment, and are stored in the server device 1 in an updatable manner in a specific area of the determination image database 1-5. When the contractor obtains the asbestos diagnosis application installed on the first data terminal 2 from the server device 1, the latest pre-demolition work item pre-investigation sheet is obtained and stored in a specific area of the memory 2-7. Note that the first data terminal 2 is configured to be able to obtain the latest pre-demolition work item pre-investigation sheet from the server device 1.

[0050] The client can request asbestos diagnosis processing by this system by operating the asbestos diagnosis system screen published on the WEB by the server device 1 by operating the second data terminal 3.

[0051] Fig. 5 is an example of a sheet for inputting the client's notarial matters, and the possibility of asbestos use can be roughly determined by the number of years since construction.

[0052] Fig. 6 is to be input by the contractor looking inside the client's building or obtaining it from drawings etc. stored by the construction contractor.

[0053] The input items related to the external finish shown in Fig. 6 are composed of structural sections, foundations, bases, roofs, eaves, outer walls, gutters, storm doors, verandas·balconies, external stairs, porches·terraces, air conditioners, etc.

[0054] Figs. 7 to 10 include the input items related to the internal finish, such as entrance halls, corridors, kitchens, dining rooms, living rooms, Western-style rooms, Japanese-style rooms, verandas, bathrooms, washrooms·changing rooms, toilets, and window sizes.

[0055] Fig. 11 is the input item related to the external groove, including exterior and others. Note that this example is just an example, and it may be configured to include other items or delete some items.

[0056] FIG. 12 is a diagram showing a list of asbestos-containing building materials registered in the determination image database 1-5 of the server device 1 shown in FIG. 1.

[0057] As shown in FIG. 12, asbestos-containing building materials are classified by common name, usage location, and product name, and the analysis results of the product name are stored in the inspection institution. Therefore, when it is necessary to collect a sample for inspection, it is configured to be possible to identify the asbestos-containing building materials used by analyzing the components of the collected sample.

[0058] FIGS. 13 and 14 are floor plans of the building to be inspected owned by the requester, showing the floor plans of a two-story building. The server device 1 is configured to obtain the floor plans shown in FIGS. 13 and 14 from the first data terminal 2 of the contractor, create an order of locations to be imaged, image the target locations in order from the locations where asbestos is likely to have been used, and transfer them to the server device 1.

[0059] FIG. 15 is a diagram showing the establishment process of an order for demolition work by the asbestos diagnosis system showing this embodiment.

[0060] When the contractor receives a consultation on building renovation or demolition from the server device 1 through the second data terminal 3 operated by the requester, the contractor investigates the building according to the procedure specified by the server device 1, operates the first camera 2-2 and the second camera 2-3 to take images, and then transmits them to the server device 1. The determination unit 1-4-2 of the server device 1 performs an AI determination on the matching degree between the captured image and the determination image pattern shown in FIG. 4 stored in the determination image database 1-5, and notifies the result to the first data terminal 2.

[0061] After that, the contractor can receive an estimate request without separate negotiation when it is likely that the building materials contain asbestos depending on the convenience of the requester by displaying the determination result screen to the requester.

[0062] In addition, in response to a quotation request, by uploading numerical data input by an operator operating the first data terminal 2 to the server device 1, a quotation result can be obtained from the server device 1, and a quotation can also be submitted to the requester from a handy printer (not shown).

[0063] As a result, it has been confirmed from the aggregated statistical data that the asbestos survey order rate has increased by approximately 77% compared to the conventional method when this system is adopted because the survey itself is completed in one day.

[0064] Subsequently, it has been confirmed that requests for building renovation and demolition from requesters who have considered quotations have increased by approximately 34% compared to the past.

[0065] FIG. 16 is a diagram showing the work procedure of a cooperating processing operator associated with the asbestos diagnosis system showing this embodiment.

[0066] As shown in FIG. 16, before demolition and renovation, by using the technology disclosed in the system shown in FIG. 1, the DX of the preliminary survey can be promoted, and an improvement in the acceptance rate of survey requests can be expected.

[0067] In addition, for operators linked to the survey results, when the building is not demolished, there is also an option to present an inexpensive removal cost and adopt a safety containment method. Furthermore, it is possible to show the method presented by the demolition / renovation operator to the requester and safely remove the asbestos used in the building.

[0068] Furthermore, the waste removal operator can cooperate with the above operators to collect asbestos from the building materials removed from the building into a designated sealed container and transport them to an industrial waste treatment facility.

[0069] In addition, at the industrial waste treatment facility, it is possible to provide an asbestos treatment method that evolves every day and safely treat asbestos while considering the environment.

[0070] Furthermore, by providing recycled materials such as steel frames and reinforcing bars, which are building materials from which asbestos has been removed at industrial waste treatment facilities, to recyclers at low cost, it becomes possible to melt the iron materials and provide building materials as new iron materials.

[0071] FIGS. 17 and 18 are flowcharts showing an example of a data processing procedure in the asbestos diagnosis system according to the present embodiment. This example corresponds to the asbestos simple investigation processing procedure by the first data terminal 2. Note that (1) to (17) indicate each step, and each step is realized by the controller 2-5 including the CPU, ROM, and RAM of the first data terminal 2 activating the notification unit 2-7-1, the acceptance unit 2-7-2, and the creation unit 2-7-3 as software developed in the memory 2-7 shown in FIG. 1.

[0072] First, the controller 2-5 of the first data terminal 2 operated by the contractor acquires a preliminary investigation sheet as electronic data from the server device 1 (1), holds consultations with the client, and inputs necessary items as data into the preliminary investigation sheet (2). It is assumed that the input preliminary investigation sheet is temporarily stored in the memory 2-7 and managed by the controller 2-5.

[0073] Next, the controller 2-5 determines whether data input for the preliminary investigation sheet is complete (3). If it is determined that the input is complete, the preliminary investigation sheet for which the input is complete is transferred to the server device 1 via the WIFI network 100 through the wireless antenna 2-1 (4).

[0074] Next, when the controller 2-5 determines that it has received the imaging schedule for the asbestos investigation formulated by the server device 1 (5), while moving to the imaging points from the ceiling material on the second floor to the floor material once according to the imaging procedure number specified in the building (graphical information) to be investigated displayed on the display unit 2-6, the controller 2-5 operates the first camera 2-2 and the second camera 2-3 to image the investigation target site (6).

[0075] Here, the captured imaging data shall be taken at a high resolution (HD) for parts that require detailed consideration in addition to the normal resolution, in accordance with the format required by the server device 1.

[0076] Also, for the captured imaging data, the controller 2-5 may be configured to transfer it in real time while communicating and synchronizing with the server device 1, or after the imaging operation is completed, it may be configured to compress a plurality of imaging data stored in the memory 2-7 and then transfer them in a batch.

[0077] Therefore, in the procedures shown in FIGS. 17 and 18, according to the latter procedure, after the imaging of all imaging points is completed (7), the imaging data stored in the memory 2-7 is uploaded to the server device 1 in a batch (8).

[0078] Next, when the simple determination process by the server device 1 is completed, determination data indicating the simple determination result by pattern matching using AI between the created imaging image data and the accumulated image data is acquired (9). Next, the merchant sends the determination data received from the server device 1 to the second data terminal 3 of the requester via the UI screen displayed on the operation unit 2-8 of the first data terminal 2 (10). At this time, the first data terminal 2 adopts the process of sending it to the email address of the requester of the second data terminal 3, but it may also be a procedure for the merchant to present the determination data displayed on the display unit 2-6 to the requester for confirmation.

[0079] Therefore, the case where the configuration of not adopting step (10) is also within the scope of application of the present invention.

[0080] Next, it is desirable for the merchant to explain the necessary matters for ordering asbestos removal work according to the determination data displayed or received by the requester.

[0081] Here, depending on the determination result, the process will be described assuming the case where the necessity of asbestos removal work has an evaluation value of, for example, 70%, and the case where the evaluation value is, for example, 1 to 7%. Note that the removal methods include removal methods, containment methods, and enclosure methods.

[0082] Note that when the evaluation value is 1 to 7%, it is assumed that, due to the structure of the building called a simple pack, the relevant location can be sealed by work so that asbestos does not scatter during the work. However, it is desirable that the work content for the evaluation value can be arbitrarily proposed by the contractor.

[0083] Next, the controller 2-5 of the contractor's first data terminal 2 determines whether it has received a quotation request for asbestos removal work from the requester's second data terminal 3 (11). Here, when the controller 2-5 determines that it cannot receive a quotation request from the requester, it, for example, electronically settles the investigation cost (17) and ends this process.

[0084] On the other hand, if it is determined in step (11) that the quotation request has been received, the controller 2-5 determines whether the current work is renovation work or demolition work from the work purpose input in step (2) (12). If it is determined that it is renovation work, the controller 2-5 activates a quotation program 1 (not shown) (13). If it is determined that it is demolition work, the controller 2-5 activates a quotation program 2 (not shown) (14), proceeds to step (15), and creates a quotation.

[0085] Then, the controller 2-5 transmits the quotation calculation sheet to the requester's second data terminal 3 (16) and ends the process.

[0086] As a result, on the day of the survey whose schedule has been adjusted with the client, by imaging the main part of the client's building with a camera and modifying the captured image data in cooperation with the server device 1, it becomes possible to immediately determine the presence or absence of asbestos and receive an estimate request for asbestos removal work. Compared with the conventional inspection agency's specimen inspection and determination, it has become possible to provide a service that presents the determination result to the client in a much shorter time at each stage.

[0087] FIG. 19 and FIG. 20 are flowcharts showing an example of the data processing procedure in the asbestos diagnosis system showing this embodiment. This example corresponds to the asbestos simple survey processing procedure by the first data terminal 2.

[0088] Note that (21) to (35) indicate each step, and each step is realized by the CPU 1-3 of the server device 1 starting the instruction unit 1-4-1, determination unit 1-4-2, estimate unit 1-4-3, transmission unit 1-4-4, and application form creation unit 1-4-5 as software developed in the memory unit 1-4 shown in FIG. 2.

[0089] The CPU 1-3 of the server device 1 determines whether the connection request from the first data terminal 2 of the contractor is an app registration (21). Here, when the CPU 1-3 determines that it is not an app registration, it notifies the second data terminal 3 of the update of the asbestos image (24).

[0090] On the other hand, in step (21), when the CPU 1-3 determines that the connection request from the first data terminal 2 of the contractor is an app registration, after issuing a user ID and password to the contractor (22), the CPU 1-3 transmits the issued user ID and password to the first data terminal 2 (23).

[0091] Next, the CPUs 1-3 determine whether the connection request from the first data terminal 2 of the merchant is for uploading a captured image (25). When determining whether the connection request from the first data terminal 2 of the merchant is for uploading a captured image, in order to determine whether the image data to be transferred is normal, the check image data is received from the first data terminal 2, and it is determined whether the content (resolution, sharpness, contrast) of the check image data is within the normal range, that is, whether the image check is OK (26).

[0092] Here, if the CPUs 11-3 determine that the image check is not OK, they notify the first data terminal 2 of the change in the imaging condition settings (32) and return to step (25).

[0093] On the other hand, in step (26), if the CPUs 1-3 determine that the image check is OK, they activate the first camera 2-2 and the second camera 2-3 of the first data terminal 2 of the merchant and acquire the imaging data of the specified part to be imaged according to the imaging schedule transferred earlier (details will be described later) (27). It is assumed that the acquired imaging data is temporarily stored in the memory unit 1-4.

[0094] Next, the CPUs 1-3 perform arithmetic processing on the degree of matching with the determination image patterns stored in the determination image database 1-5 (28). The degree of matching executed by the CPUs 1-3 is calculated by a process of assigning and weighting a coefficient (not shown) characterized by parameters indicating the spraying direction and amount of asbestos for each type TYPE1~N among the determination image patterns shown in FIG. 4 to the area where the image is captured. Therefore, when the coefficient matches the feature pattern, it is assumed that the degree of matching is calculated to be high.

[0095] Next, the CPUs 1-3 determine whether the degree of matching calculated in step (28) exceeds a predetermined threshold value (29). If the CPUs 1-3 determine that it exceeds, they notify the first data terminal 2 of the determination result abnormal (31) and end the process.

[0096] On the other hand, in step (29), if the CPU 1-3 determines that it has not been exceeded, it notifies the first data terminal 2 of the determination result "normal" (30) and ends the process.

[0097] On the other hand, in step (25), if the CPU 1-3 determines that it is not an upload of the captured image, it determines whether it is a receipt of the investigation sheet (33). If it determines that it is a receipt, the CPU 1-3 activates the instruction unit 1-4-1 and creates an optimal imaging schedule for the building structure of the requester (34).

[0098] Next, the CPU 1-3 activates the transmission unit 1-4-4, transfers the created imaging schedule to the first data terminal 2 of the contractor (35), and returns to step (25).

[0099] As a result, if the contractor has acquired the building information before the investigation date, on the investigation day, it is possible to efficiently acquire imaging data with a simple operation of imaging the designated part of the building according to the imaging schedule transferred from the server device 1 by operating the first camera 2-2 and the second camera 2-3.

[0100] 〔Effect of the First Embodiment〕 According to the present embodiment, at the site of the asbestos investigation target, by comparing and processing the image information for imaging whether asbestos is mixed in the building materials sprayed on the building structure with the accumulated determination images and performing AI determination, it is possible to support the service of calculating the asbestos removal cost and creating an estimate on the spot together with the simple determination result.

[0101] 〔Second Embodiment〕 In the above-described embodiment, the case of simply determining the presence or absence of asbestos in a building by image has been described in detail. However, as shown in FIGS. 21 and 22, since asbestos removal work has started, that is, the amount of carbon dioxide emissions including power consumption due to the asbestos removal process, transportation costs of waste materials, etc. is calculated, and it may be configured to cooperate with a system that supports the CO2 emission reduction target in a corporate body in cooperation with a rights trading site associated with the CO2 emissions.

[0102] 〔Effects of the Second Embodiment〕 According to this embodiment, it is also possible to expand the operation in cooperation with this system while taking into account the cooperation with the carbon neutral concept recommended by the country.

[0103] The present invention can also be realized by supplying a program that realizes one or more functions of the above-described embodiment to a system or device via a network or a storage medium, and having one or more processors in the computer of the system or device read and execute the program. It can also be realized by a circuit (for example, ASIC) that realizes one or more functions.

[0104] The disclosure of the present invention described above can be summarized at least in the following matters.

[0105] (1) An asbestos diagnosis system in which an asbestos diagnosis program is installed via a predetermined communication medium, and a first data terminal operated by a contractor equipped with a camera function communicates with a second data terminal operated by a requester who requests an asbestos removal work request, and a server device that acquires an imaging image of a partitioned space among the building structures imaged by the first data terminal. The server device includes a determination image database that stores a verification image obtained by learning sample image information in which asbestos is detected among the imaging image information of the structures imaged in the partitioned space of the building structure, an instruction means for instructing imaging conditions including an imaging position for analyzing and narrowing down the imaging image acquired from the first data terminal, a determination means for AI-determining an asbestos content evaluation index by comparing the imaging image captured under the imaging conditions with the verification image stored in the determination image database, an estimation means for estimating the asbestos removal and disposal costs used in the building structure using the asbestos content evaluation index determined by the determination means, and a transmission means for transmitting the estimate data estimated by the estimation means to the first data terminal.

[0106] (2) The first data terminal is characterized by including a notification means for notifying the estimate data acquired from the server device to a second data terminal operated by the requester, and a receiving means for receiving an asbestos removal work request from the second data terminal.

[0107] (3) The first data terminal is characterized by including a creation means for creating an asbestos removal work schedule based on the asbestos removal work request.

[0108] (4) Among the imaging conditions, the imaging position includes an outer wall, a eaves ceiling, a roof material, a facing coating material, a heat insulating material, a heat insulation material, a cylindrical material, a pipe, a pit, a sprayed material, an inner wall, an inner ceiling, and an inner floor.

[0109] (5) The first data terminal is characterized by including an interface for operating an endoscope-type microscope.

[0110] It is characterized by comprising application form creation means for creating an application form for applying for a subsidy assisted by an administrative agency regarding asbestos removal.

[0111] (7) The estimation means is characterized by estimating the asbestos removal and disposal costs used in the building structure according to the asbestos removal method.

[0112] (8) The removal method is characterized by including a removal method, a containment method, and an enclosure method.

[0113] (9) The asbestos diagnosis system is characterized by calculating the CO2 consumed for disposing of the removed asbestos and cooperating with a system that operates the domestic emissions trading system (cap-and-trade).

Industrial Applicability

[0114] In this embodiment, although an example of a system that can cooperate with this system has been described, by solving the problems as shown in FIG. 23, it is also possible to develop services related to the asbestos removal process using this system and enhance the momentum to produce a chain effect.

Explanation of Reference Numerals

[0115] 1 Server device 2 First data terminal 3 Second data terminal 200 Building

Claims

1. An asbestos diagnostic system capable of communicating, via a predetermined communication medium, among a first data terminal installed with an asbestos diagnostic program and operated by a contractor having a camera function, a second data terminal operated by a client who requests asbestos removal work, and a server device that acquires captured images of partitioned spaces in a building structure captured by the first data terminal, The server device includes: A judgment image database that accumulates verification images that have learned sample image information in which asbestos has been detected from image information of structures captured in the partitioned space of the building structure; and an instruction means for instructing imaging conditions including an imaging position for narrowing down the captured image acquired from the first data terminal by analyzing the captured image; A determination means for performing an AI determination of an asbestos content evaluation index by comparing an image captured under the imaging conditions with the verification image stored in the determination image database, and an estimation means for estimating the cost of removing and disposing of asbestos used in the building structure using the asbestos content evaluation index determined by the determination means. a transmission means for transmitting quotation data estimated by said estimation means to said first data terminal; An asbestos diagnostic system comprising:

2. The first data terminal comprises: a notification means for notifying a second data terminal operated by a client of the quotation data obtained from the server device; An acceptance means for accepting an asbestos removal work request from the second data terminal; 2. The asbestos diagnostic system according to claim 1, further comprising:

3. The first data terminal comprises:

2. The asbestos diagnostic system according to claim 1, further comprising a creation means for creating an asbestos removal work schedule based on the asbestos removal work request.

4. The asbestos diagnostic system of claim 1, characterized in that among the imaging conditions, the imaging positions include exterior walls, eaves, roofing materials, compensation coating materials, heat-retaining materials, insulating materials, cylindrical materials, piping, trenches, sprayed materials, interior walls, interior ceilings, and interior floors.

5. 2. The asbestos diagnostic system according to claim 1, wherein the first data terminal is provided with an interface for operating an endoscope type microscope.

6. 2. The asbestos diagnostic system according to claim 1, further comprising an application form preparation means for preparing an application form for applying for a subsidy provided by an administrative agency for asbestos removal.

7. The asbestos diagnosis system according to claim 1, wherein the estimating means estimates the asbestos removal and disposal costs used in the building structure for each asbestos removal method.

8. The asbestos diagnosis system according to claim 1, wherein the removal methods include a removal method, a containment method, and an enclosure method.

9. The asbestos diagnosis system according to claim 1, wherein the asbestos diagnosis system calculates the CO2 consumed for disposing of the asbestos to be removed and cooperates with a system that operates a domestic emissions trading system (cap and trade).

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