Information provision device, information provision method, and program

Abstract

The present invention provides an information provision device, information provision method, and program that can notify a user of the accuracy of an infrared exterior wall inspection conducted by an unmanned aerial vehicle, in order to help them decide whether or not to carry out the inspection. [Solution] On the scheduled inspection day for infrared exterior wall inspection, weather information showing the weather around the building to be inspected for each time period is acquired. Based on the acquired weather information, the accuracy of the infrared exterior wall inspection is determined, and information indicating the determined accuracy is notified to the user U involved in the infrared exterior wall inspection.

Description

Technical Field

[0001] The present invention relates to the technical field of systems and the like that can provide useful information for performing infrared outer wall inspections using unmanned aircraft.

Background Art

[0002] Conventionally, for example, as disclosed in Patent Document 1, there is known an inspection method in which the surface of a structure is photographed by an infrared camera, and the damage state inside the structure is investigated based on the temperature distribution of the photographed surface of the structure. Regarding such an inspection method, in recent years, infrared outer wall inspections have been carried out by utilizing unmanned aircraft such as drones. As a result, it has become possible to ensure the safety of workers, reduce the number of necessary personnel, reduce inspection time, reduce inspection costs, and perform inspections with higher accuracy than visual inspection by workers.

Prior Art Documents

Patent Documents

[0003]

Patent Document 1

Summary of the Invention

Problems to be Solved by the Invention

[0004] By the way, since the infrared outer wall inspection using an unmanned aircraft diagnoses using the temperature difference of the wall surface of the structure, the accuracy of the infrared outer wall inspection is affected by the weather conditions on the day of its implementation. Conventionally, it has been difficult for users related to infrared outer wall inspections to efficiently determine the accuracy of the infrared outer wall inspection before the implementation of the inspection.

[0005] Therefore, in view of the above points, the present invention has been made, and an information providing device, an information providing method, and a program that can provide users with the accuracy of an infrared outer wall inspection as a material for determining whether the inspection can be carried out or not before the implementation of the infrared outer wall inspection using an unmanned aircraft are provided as an example of the problems. [Means for solving the problem]

[0006] (Application Example 1) In order to solve the above problem, the information providing device according to this application example is characterized by comprising: a first acquisition means for acquiring weather information showing the weather around the structure to be inspected by an unmanned aerial vehicle on the scheduled date of the infrared exterior wall inspection by an unmanned aerial vehicle, for each time period; an accuracy determination means for determining the accuracy of the infrared exterior wall inspection by an unmanned aerial vehicle based on the weather information acquired by the first acquisition means; and a notification means for notifying a user involved in the infrared exterior wall inspection by an unmanned aerial vehicle of information indicating the accuracy determined by the accuracy determination means.

[0007] (Example 2 of application) The information provision method relating to this example is an information provision method performed by one or more computers, and is characterized by including the steps of: acquiring weather information that shows the weather around the structure to be inspected by an unmanned aerial vehicle for each time period on the scheduled date of the infrared exterior wall inspection by an unmanned aerial vehicle; determining the accuracy of the infrared exterior wall inspection by the unmanned aerial vehicle based on the acquired weather information; and notifying the user involved in the infrared exterior wall inspection by the unmanned aerial vehicle of the information indicating the determined accuracy.

[0008] (Application Example 3) The program relating to this application example is characterized by causing a computer to perform the following steps: acquiring weather information that shows the weather around the structure to be inspected by an unmanned aerial vehicle on the scheduled date of the infrared exterior wall inspection; determining the accuracy of the infrared exterior wall inspection by the unmanned aerial vehicle based on the acquired weather information; and notifying the user involved in the infrared exterior wall inspection by the unmanned aerial vehicle of the information indicating the determined accuracy. [Effects of the Invention]

[0009] According to the present invention, the accuracy of the infrared exterior wall inspection can be provided to the user as a factor in deciding whether or not to carry out the inspection, etc., before the inspection is carried out by an unmanned aerial vehicle. [Brief explanation of the drawing]

[0010] [Figure 1] This diagram shows an example of the overview configuration of the inspection accuracy provision system S. [Figure 2] This figure shows an example of the overview configuration of user terminal 1. [Figure 3] This figure shows an example of the inspection target selection screen displayed on user terminal 1. [Figure 4] This figure shows an example of the display of the inspection accuracy information screen shown on user terminal 1. [Figure 5] This diagram shows an example of the overview configuration of the inspection accuracy judgment server 4. [Figure 6] This figure shows an example of a functional block in the control unit 43. [Figure 7] This diagram shows a conceptual view of a wall surface to be inspected, divided into multiple areas. [Figure 8] This figure shows an example table that defines the relationship between temperature range and the accuracy of infrared exterior wall inspection. [Figure 9] This figure shows an example table that defines the relationship between weather and outside temperature differences and the accuracy of infrared exterior wall inspections. [Figure 10] This figure shows an example 2 of the inspection accuracy information screen displayed on user terminal 1. [Figure 11] This flowchart shows an example of the inspection accuracy provision process performed by the control unit 43 of the inspection accuracy determination server 4 in Example 1. [Figure 12] This flowchart shows an example of the inspection accuracy provision process performed by the control unit 43 of the inspection accuracy determination server 4 in Example 2. [Modes for carrying out the invention]

[0011] One embodiment of the present invention will be described below with reference to the drawings. The following embodiment is an embodiment in which the present invention is applied to an inspection accuracy provision system. The inspection accuracy provision system is a system that determines the accuracy of infrared exterior wall inspection by an unmanned aerial vehicle (hereinafter referred to as UAV (Unmanned Aerial Vehicle)) in advance (i.e., before the inspection is performed) and provides the determined accuracy to the user involved in the infrared exterior wall inspection. A UAV is also called a multicopter or drone. A UAV is capable of taking off in accordance with takeoff instructions from a GCS (Ground Control Station) and flying autonomously to a destination where the building to be inspected (hereinafter referred to as "building to be inspected") is located. A building to be inspected is an example of a structure. A UAV can also be flown according to remote control from the ground using a control terminal (not shown) used by the operator. A UAV is equipped with an optical sensor (e.g., an infrared camera) and performs infrared exterior wall inspection by sensing the exterior wall (i.e., wall surface) of the building to be inspected using the optical sensor. The results of infrared exterior wall inspections conducted by UAVs (hereinafter simply referred to as "infrared exterior wall inspections") are transmitted wirelessly from the UAV to the inspection management server. The UAV and inspection management server are operated, for example, by an inspection company.

[0012] [ 1. Configuration and Operation Overview of Inspection Accuracy Provisioning System S ] First, with reference to Figure 1, the configuration and operation overview of the inspection accuracy provision system S according to this embodiment will be described. Figure 1 is a diagram showing an example of the overview configuration of the inspection accuracy provision system S. As shown in Figure 1, the inspection accuracy provision system S is composed of a user terminal 1, a weather information provision server 2, a solar position information provision server 3, and an inspection accuracy determination server 4 (an example of an information provision device), etc. The user terminal 1, weather information provision server 2, solar position information provision server 3, and inspection accuracy determination server 4 are each connected to a communication network NW. The communication network NW consists of, for example, the Internet, a mobile communication network and its wireless base stations, etc.

[0013] The user terminal 1 is a terminal used by the user U related to infrared outer wall inspection. The user terminal 1 is, for example, a smartphone, a tablet, or a personal computer. The user U is, for example, an administrator or staff of an inspection business operator. The user terminal 1 can receive, from the inspection accuracy determination server 4 via the communication network NW, the provision of inspection accuracy information indicating the accuracy of infrared outer wall inspection.

[0014] The weather information providing server 2 is a server that manages weather information. The weather information is prediction information indicating the weather in small areas where a predetermined area is divided into a plurality of areas for each time zone in the future (for example, up to 1 to 2 weeks ahead). The weather includes, for example, weather conditions (sunny, cloudy, rainy, snowy, etc.), wind speed, and air temperature (outside air temperature). When the predetermined area is, for example, the Japanese territory, the small area is an area where the predetermined area is divided for each prefecture or municipality. The position of the small area is represented by, for example, latitude and longitude. The future time zone may be set by dividing, for example, from 9:00 to 17:00 every X minutes (for example, 20 to 60 minutes) (hereinafter referred to as the "set time zone").

[0015] The solar position information providing server 3 is a server that manages solar position information. The solar position information is prediction information indicating the solar position from each point in a predetermined area for each set time zone in the future (for example, up to several months ahead). The position of each point may be represented by latitude and longitude, or may be represented by latitude, longitude, and altitude. The solar position means the position of the sun and the direction from which sunlight (sunshine) comes as seen from each point, and is represented by, for example, the azimuth angle and altitude of the sun. The azimuth angle of the sun is the horizontal angle of the sun as seen from due south. The altitude of the sun is the angle formed between the ground and the sun. Depending on the area, the solar position information may be shown for each day and each set time zone, or may be shown for each season (for example, spring, summer, autumn, winter) and each set time zone. In addition, together with the solar position information, the solar radiation intensity indicating the intensity of sunlight from each point in a predetermined area for each set time zone may be managed by the solar position information providing server 3.

[0016] The inspection accuracy determination server 4 is a server that determines the accuracy of infrared outer wall inspection and provides inspection accuracy information indicating the accuracy to the user terminal 1. The inspection accuracy determination server 4 can communicate with the weather information providing server 2 via the communication network NW and obtain weather information from the weather information providing server 2. Also, the inspection accuracy determination server 4 can communicate with the solar position information providing server 3 via the communication network NW and obtain solar position information from the solar position information providing server 3. The accuracy of infrared outer wall inspection is determined based on the temperature of the wall surface of the building to be inspected, for example, the temperature range, as will be described later. The temperature of the wall surface is the predicted temperature on the scheduled date of infrared outer wall inspection (hereinafter referred to as the "inspection scheduled date"), and the temperature range of the wall surface is, for example, the temperature difference between the highest temperature and the lowest temperature within a specific area of the wall surface at the same time.

[0017] 1-1. Configuration and Functions of User Terminal 1 Next, referring to FIG. 2, the configuration and functions of the user terminal 1 will be described. FIG. 2 is a diagram showing an example of the general configuration of the user terminal 1. The user terminal 1 includes an operation / display unit 11, a communication unit 12, a storage unit 13, a control unit 14, and the like. The user terminal 1 may be equipped with an audio processing unit and a speaker. The operation / display unit 11 has, for example, an input function for receiving an input (designation) by the finger, pen, or mouse of the user U, and a display function for displaying various screens on the display. The communication unit 12 is responsible for controlling communication performed via the communication network NW. The storage unit 13 is composed of a non-volatile memory or the like and stores various programs (program code groups) and data. The various programs include an operating system (OS), an inspection confirmation application, and a web browser. The inspection confirmation application is a program for obtaining inspection accuracy information indicating the accuracy of infrared outer wall inspection from the inspection accuracy determination server 4 and displaying the accuracy on the display.

[0018] ​​The control unit 14 (an example of a computer) includes a CPU, ROM, RAM, etc. The control unit 14 accesses the inspection accuracy judgment server 4 via an inspection verification application or a browser. When the communication unit 12 receives the configuration data for the inspection target specification screen transmitted from the inspection accuracy judgment server 4, the control unit 14 displays the inspection target specification screen on the display. The configuration data for the inspection target specification screen may include map data that constitutes a map (a map with a set orientation) representing buildings and natural objects and other features in a predetermined area. The configuration data for the inspection target specification screen may also be a web page. A web page is composed of structured document data (for example, an HTML (Hyper Text Markup Language) document or an XHTML document, etc.).

[0019] Figure 3 shows an example of the inspection target specification screen displayed on user terminal 1. The inspection target specification screen SC1 shown in Figure 3 displays the inspection target building specification section 51, the inspection scheduled date specification section 52, and the send button 53. The inspection target building specification section 51 displays a map that can be scrolled and zoomed in / out based on map data. The map data includes the name, address, and building ID (building identification information) of the building represented on the map. In addition, the inspection target building specification section 51 displays a designation mark M associated with "Building A" (building name), which has been designated as the inspection target building by user U. Meanwhile, the inspection scheduled date specification section 52 displays input fields (in the example in Figure 3, input fields for candidates 1 to 3) that allow multiple candidates for the inspection scheduled date and time to be specified. Furthermore, if "+ Add Candidate" is selected by the user in the inspection scheduled date specification section 52, an input field for candidate 4 of the inspection scheduled date and time will be added and displayed. The time period specified by user U is called the "specified time period". In addition, user U can specify only the inspection date and not the time slot, as shown in candidate 2 in the inspection date specification section 52. The inspection target specification screen SC1 may be configured so that user U can specify the wall surface to be inspected (hereinafter referred to as "inspection target wall surface").

[0020] Then, for example, after user U, who has logged in through the login process of the inspection accuracy determination server 4, specifies the building to be inspected and the scheduled inspection date (or the scheduled inspection date and specified time slot), if user U presses the send button 53, the control unit 14 sends an information request to the inspection accuracy determination server 4 via the communication unit 12, including the building ID of the building to be inspected and the scheduled inspection date (or the scheduled inspection date and specified time slot) of the building to be inspected specified by user U. In this way, user U can arbitrarily specify the building to be inspected and the scheduled inspection date on the inspection target specification screen, improving the convenience of user U when making decisions such as whether or not to perform infrared exterior wall inspection. As a result, when the communication unit 12 receives the configuration data of the inspection accuracy information screen sent from the inspection accuracy determination server 4, the control unit 14 displays the inspection accuracy information screen on the display (i.e., displays the screen). The information request may also include wall surface specification information indicating the wall surface to be inspected specified by user U (for example, the orientation of the wall surface to be inspected). Furthermore, the configuration data of the inspection accuracy information screen may be a web page.

[0021] Figure 4 shows an example of the display of the inspection accuracy information screen shown on user terminal 1. In the inspection accuracy information screen SC2 shown in Figure 4, for the building to be inspected (Building A) specified by user U, "Inspection accuracy: Low" is displayed as inspection accuracy information 61 for candidate 1 (scheduled inspection date and time: December 11, 2024, 14:00-15:00). Also, in the inspection accuracy information screen SC2, "Inspection accuracy: High" is displayed as inspection accuracy information 62 for candidate 2 (scheduled inspection date and time: December 15, 2024, 15:00-16:00) for the building to be inspected (Building A) specified by user U. Here, the time slots for candidate 1 (14:00-15:00) and candidate 2 (15:00-16:00) are the recommended inspection time slots determined by the inspection accuracy judgment server 4. Furthermore, the inspection accuracy information may be displayed separately for each wall surface to be inspected. Furthermore, the inspection accuracy information screen SC2 displays a warning message 63 because infrared exterior wall inspections are affected by heat generated by heating and cooling equipment inside the building or outdoor units. Note that the inspection accuracy information for the building to be inspected, as specified by user U, may be displayed as a pop-up on the inspection confirmation screen SC1.

[0022] [ 1-2. Configuration and Function of Inspection Accuracy Judgment Server 4 ] Next, the configuration and functions of the inspection accuracy determination server 4 will be described with reference to Figure 5. Figure 5 is a diagram showing an example of the overview configuration of the inspection accuracy determination server 4. As shown in Figure 5, the inspection accuracy determination server 4 includes a communication unit 41, a storage unit 42, and a control unit 43, etc. The inspection accuracy determination server 4 is composed of one or more server computers. The communication unit 41 is responsible for controlling communications conducted via the communication network NW. Information requests from the user terminal 1 are received by the communication unit 41. Weather information from the weather information provision server 2 is also received by the communication unit 41. Solar position information from the solar position information provision server 3 is also received by the communication unit 41.

[0023] The storage unit 42 is composed of, for example, an SSD (Solid State Drive) or an HDD (Hard Disk Drive) and stores various programs (program code groups) and data. The various programs include an operating system and an information provision application (an example of a program of the present invention). The information provision application is a program that provides inspection accuracy information indicating the accuracy of infrared exterior wall inspection to the user terminal 1 and displays the accuracy on the display. The storage unit 42 also stores configuration data for the inspection target specification screen, configuration data for the inspection accuracy information screen, and map data that constitutes a map representing the above-mentioned features (a map with a set orientation). The map data preferably includes at least one of two types of data: two-dimensional map data that constitutes a two-dimensional map in which the above-mentioned features are represented planarly in two dimensions (X,Y), and three-dimensional map data that constitutes a three-dimensional map in which the features are represented three-dimensionally in three dimensions (X,Y,Z).

[0024] Furthermore, a building management database (DB) 421 is constructed in the memory unit 42. The building management database 421 is a database for managing information about buildings represented on a map composed of map data. The building management database 421 stores information such as the building ID, building name, building address, building floor plan, building elevation, building location, and the orientation of the building's walls (exterior walls), with each information associated with a specific building. Here, the building floor plan includes the building's plan dimensions. The building elevation is, for example, a three-dimensional view of the building from multiple directions (e.g., east, west, north, and south), and includes the height of each part of the building. The building's location is one or more locations within the building's floor plan, and is represented, for example, by latitude and longitude. The orientation of the building's walls indicates the direction (e.g., southeast) that each wall faces. The orientation of the building's walls may be determined, for example, from the building's elevation and a map representing the building (i.e., a map with directions set).

[0025] The control unit 43 (an example of a computer) includes a CPU, ROM, RAM, etc. Figure 6 shows an example of a functional block in the control unit 43. The CPU may be a general-purpose processor, a special-purpose processor, or a processor including transistors and other integrated circuits (electrical circuits and electronic circuits). The control unit 43 functions, for example, according to a program (program code group) stored in the ROM or storage unit 42, as shown in Figure 6, as a user specification reception unit 431 (an example of reception means), a wall surface information acquisition unit 432 (an example of a second acquisition means), a weather information acquisition unit 433 (an example of a first acquisition means), a sun position information acquisition unit 434 (an example of a third acquisition means), a condition compliance determination unit 435 (an example of condition compliance determination means), a temperature prediction unit 436 (an example of prediction means), an accuracy determination unit 437 (an example of an accuracy determination means), and an accuracy notification unit 438 (an example of a notification means).

[0026] The user-specified reception unit 431 accepts the building to be inspected (building ID) and the scheduled inspection date (or the scheduled inspection date and time slot) specified by user U, based on the information provision request received from user terminal 1 via the communication unit 41. The user-specified reception unit 431 may also accept the wall surface to be inspected specified by user U, based on the information provision request received from user terminal 1 via the communication unit 41.

[0027] The wall surface information acquisition unit 432 acquires wall surface information from the building management database 421 that indicates the orientation of the walls of the building to be inspected, as received by the user specification reception unit 431. Here, if the walls to be inspected have not been received by the user specification reception unit 431 (i.e., not specified by user U), the wall surface information acquisition unit 432 may identify all the walls of the building to be inspected (for example, four walls) or walls facing a predetermined azimuth range (for example, from southeast to southwest) as the walls to be inspected. Each of the walls to be inspected is assigned a unique identifier.

[0028] The weather information acquisition unit 433 acquires weather information from the weather information provision server 2 that shows the weather around the building to be inspected for each set time period on the inspection date accepted by the user-specified acceptance unit 431. Here, the area around the building to be inspected may be, for example, within a radius Ym (for example, 10 to 1000m) centered on the building to be inspected. The weather information acquisition unit 433 may acquire weather information that shows the weather around the building to be inspected for each set time period on the inspection date by, for example, transmitting information indicating the inspection date and the location of the building to be inspected to the weather information provision server 2. If the specified time period is accepted by the user-specified acceptance unit 431 along with the inspection date (i.e., specified by user U), the weather information provision server 2 may acquire weather information showing the weather around the building to be inspected for the specified time period on the inspection date (for example, a part of the set time period).

[0029] The solar position information acquisition unit 434 acquires solar position information from the solar position information provision server 3 that shows the position of the sun from the building to be inspected for each set time period on the scheduled inspection date, as received by the user-specified reception unit 431. The solar position information acquisition unit 434 may, for example, acquire solar position information showing the position of the sun from the building to be inspected for each set time period on the scheduled inspection date by transmitting information indicating the scheduled inspection date and the location of the building to be inspected to the solar position information provision server 3. If the specified time period is received by the user-specified reception unit 431 along with the scheduled inspection date, the solar position information acquisition unit 434 acquires solar position information showing the position of the sun from the building to be inspected for the scheduled inspection date and specified time period (for example, a part of the set time period) by transmitting information indicating the scheduled inspection date, specified time period, and the location of the building to be inspected to the solar position information provision server 3. In addition, the solar position information acquisition unit 434 may acquire solar intensity information from the solar position information provision server 3 that shows the intensity of sunlight from the building to be inspected for each set time period, along with the solar position information.

[0030] The condition compliance determination unit 435 determines whether at least one of the weather and wind speed indicated in the weather information acquired by the weather information acquisition unit 433 corresponds to a predetermined condition for infrared exterior wall inspection being impossible. Here, the condition for infrared exterior wall inspection being impossible indicates, for example, that the weather is cloudy, rainy, or snowy. In this case, if the weather indicated in the weather information acquired by the weather information acquisition unit 433 (for example, the weather around the building to be inspected on the scheduled inspection day) is cloudy, rainy, or snowy, it is determined that the condition for infrared exterior wall inspection being impossible is met.

[0031] Furthermore, the conditions for infrared exterior wall inspection being impossible may also indicate, for example, a wind speed of 5 m / s or higher. In this case, if the wind speed indicated in the weather information acquired by the weather information acquisition unit 433 (for example, the wind speed around the building to be inspected on the scheduled inspection day) is 5 m / s or higher, it is determined that the conditions for infrared exterior wall inspection being impossible are met. In addition, if there is a timing (for example, a time range of about 30 to 60 seconds) in any one of the multiple set time periods (or designated time periods) on the scheduled inspection day that falls under the conditions for infrared exterior wall inspection being impossible, it may be determined that the conditions for infrared exterior wall inspection being impossible are met. When the condition compliance determination unit 435 determines that the conditions for infrared exterior wall inspection being impossible are met, it is desirable that inspection impossible information indicating that infrared exterior wall inspection is impossible on the scheduled inspection day is notified to the user U. This allows the user U to be informed more quickly that infrared exterior wall inspection cannot be performed.

[0032] The temperature prediction unit 436 predicts the temperature of the wall surface to be inspected of the building to be inspected (for example, the temperature within a specific area of ​​the wall surface to be inspected) during the set time period (or specified time period) of the inspection scheduled date received by the user-specified reception unit 431, based at least on weather information acquired by the weather information acquisition unit 433. Here, the temperature of the wall surface to be inspected may be, for example, the average (or median) temperature of the entire wall surface to be inspected. However, the temperature of parts of the wall surface to be inspected that have been in the shade for longer than the reference time may be excluded from the calculation of the average (or median). Furthermore, the predicted temperature may be the maximum (highest temperature) and minimum (lowest temperature) of the temperature during the set time period (or specified time period). This allows for a more accurate determination of the accuracy of the infrared exterior wall inspection. Here, the maximum and minimum temperatures may be, for example, temperatures at different times during the set time period (or specified time period) (for example, the maximum value at 12:50 and the minimum value at 9:00), or temperatures at different parts (for example, different parts within a specific area) at the same time (i.e., the same time). Alternatively, the predicted temperature may be the time-series change in temperature during a set time period (or specified time period). The temperature prediction unit 436 may also predict the temperature of the wall surface to be inspected for each of multiple set time periods (or specified time periods) on the scheduled inspection day. Furthermore, if there are multiple wall surfaces to be inspected in the building to be inspected, the temperature will be predicted for each wall surface to be inspected.

[0033] While known technologies can be applied to the algorithm for predicting the temperature of the wall surface to be inspected, preferably, the temperature prediction unit 436 predicts the temperature of the wall surface to be inspected based on wall surface information acquired by the wall surface information acquisition unit 432, weather information acquired by the weather information acquisition unit 433, and solar position information acquired by the solar position information acquisition unit 434. In this case, for example, the solar position is set on the three-dimensional map described above, and a simulation is performed using the duration of sunlight irradiation (sunshine duration) from the solar position to the wall surface to be inspected during the set time period (or specified time period) of the scheduled inspection date, and the ambient temperature around the building to be inspected as parameters, thereby predicting the temperature of the wall surface to be inspected. This makes it possible to predict the temperature of the wall surface to be inspected of the building to be inspected with high accuracy, and thus makes it possible to determine the accuracy of infrared exterior wall inspection with greater precision.

[0034] In addition to these parameters, the temperature of the wall to be inspected may also be predicted by performing a simulation that uses the intensity of sunlight irradiated onto the wall from the position of the sun as a parameter. Alternatively, the temperature of the wall to be inspected may also be predicted by performing a simulation that uses the irradiation time of reflected light, which is emitted from sunlight reflected off buildings other than the building being inspected, as a parameter. In the above-mentioned simulation, it is preferable that the irradiation time of sunlight onto the wall to be inspected be calculated by subtracting the time when sunlight irradiation is obstructed by obstacles between the position of the sun and the wall to be inspected.

[0035] Furthermore, a pre-trained machine learning model may be used as the algorithm for predicting the temperature of the wall surface to be inspected. In this case, the 3D map data, wall surface information acquired by the wall surface information acquisition unit 432, weather information acquired by the weather information acquisition unit 433, and solar position information acquired by the solar position information acquisition unit 434 are input to the pre-trained machine learning model, and the temperature of the wall surface to be inspected is output from the machine learning model. In this case, it is preferable to obtain the maximum and minimum values ​​of the temperature of the wall surface to be inspected from the temperature output from the machine learning model. Alternatively, the time-series change of the temperature of the wall surface to be inspected may be obtained from the temperature output from the machine learning model.

[0036] Furthermore, the temperature prediction unit 436 may divide the inspection target wall surface of the building to be inspected into multiple different regions and predict the temperature for each region. This makes it possible to provide the user U with an easily understandable and more useful basis for deciding whether or not to perform the infrared exterior wall inspection. For example, the temperature prediction unit 436 predicts the maximum and minimum temperature values, or the time-series change of temperature, for each divided region. Figure 7 is a conceptual diagram of the inspection target wall surface divided into multiple regions. The inspection target wall surface shown in Figure 7 is divided into regions AR1 to AR16, and the position coordinates (position coordinates on the inspection target wall surface) of each region AR1 to AR16 are managed. For example, regions AR14 to AR16 have a shorter sunlight exposure time compared to the other regions AR1 to AR13 (i.e., they are shaded for a longer time), so the temperature predicted by the temperature prediction unit 436 is lower.

[0037] The accuracy determination unit 437 determines the accuracy (in other words, accuracy or accuracy rate) of the infrared exterior wall inspection based on the temperature predicted by the temperature prediction unit 436. Here, the accuracy may be expressed using a multi-level terminology (e.g., high, medium, low) or a multi-level symbol, as shown in Figure 4. Alternatively, the accuracy may be expressed using a multi-level numerical value (e.g., 1, 2, 3, 4) (in this case, 1 being the highest) or a multi-level alphabet (e.g., A, B, C, D) (in this case, A being the highest).

[0038] As a more preferred example, the accuracy determination unit 437 may calculate the temperature range (i.e., the temperature difference between the highest and lowest temperatures) between the maximum and minimum temperatures predicted by the temperature prediction unit 436 (i.e., the maximum and minimum temperatures during the set time period (or specified time period) on the scheduled inspection day), and determine the accuracy of the infrared exterior wall inspection based on the calculated temperature range. Figure 8 shows an example table that defines the correspondence between the temperature range and the accuracy of the infrared exterior wall inspection. The accuracy determination unit 437 may determine the accuracy of the infrared exterior wall inspection using a table like the one shown in Figure 8. According to the example table shown in Figure 8, if the temperature range is 8°C or more and less than the upper limit (e.g., 15°C), the accuracy is determined to be high. However, even if the temperature range is 8°C or more and less than the upper limit, if the predicted temperature is less than the first threshold, or if the predicted temperature is greater than the second threshold, the accuracy may be determined to be low.

[0039] Furthermore, if the temperature prediction unit 436 predicts the temperature for each set time period (or specified time period), the accuracy determination unit 437 determines the accuracy of the infrared exterior wall inspection for each set time period (or specified time period) based on the predicted temperature. In this case as well, the accuracy determination unit 437 may calculate the temperature range between the maximum and minimum predicted temperatures for each set time period (or specified time period) and determine the accuracy of the infrared exterior wall inspection for each set time period (or specified time period) based on the calculated temperature range. Also, if the temperature prediction unit 436 predicts the temperature for each region of the wall surface to be inspected, the accuracy determination unit 437 determines the accuracy of the infrared exterior wall inspection for each region based on the predicted temperature. In this case as well, the accuracy determination unit 437 may calculate the temperature range between the maximum and minimum predicted temperatures for each region and determine the accuracy of the infrared exterior wall inspection for each region based on the calculated temperature range.

[0040] Furthermore, the accuracy determination unit 437 may determine that an area where the predicted temperature is below the first threshold is a shaded area (hereinafter referred to as the "shaded area"). Also, if the temperature prediction unit 436 predicts the temperature for each wall surface to be inspected, the accuracy determination unit 437 will determine the accuracy of the infrared exterior wall inspection for each wall surface to be inspected based on the predicted temperature. In addition, the accuracy determination unit 437 may be configured to determine the accuracy of the infrared exterior wall inspection only when the condition compliance determination unit 435 determines that the conditions for infrared exterior wall inspection being impossible are not met. This reduces the CPU processing load required for predicting the temperature of the wall surfaces to be inspected of the building to be inspected and for determining the accuracy of the infrared exterior wall inspection.

[0041] As an alternative to the above, the accuracy determination unit 437 may determine the accuracy of the infrared exterior wall inspection based on weather information (e.g., weather and outside temperature) acquired by the weather information acquisition unit 433. This eliminates the need for the temperature prediction unit 436 to predict the temperature of the wall surface to be inspected, thereby reducing the CPU processing load required for such prediction. Figure 9 shows an example table that defines the correspondence between weather and outside temperature difference and the accuracy of the infrared exterior wall inspection. The accuracy determination unit 437 may use a table like the one shown in Figure 9 to determine the accuracy of the infrared exterior wall inspection. In the example table shown in Figure 9, weather and the difference between the highest and lowest temperatures of the day (outside temperature difference) are each divided into multiple stages, and accuracy is associated with each combination of the divided weather and the divided outside temperature difference. The outside temperature difference may be calculated from the outside temperature for each time period around the building to be inspected on the scheduled inspection day. According to the example table shown in Figure 9, accuracy is judged to be high when the weather is sunny and the difference between outside and outside temperatures is 8°C or more, when the weather is sunny and the difference between outside and outside temperatures is 5-8°C, or when the weather is cloudy and the difference between outside and outside temperatures is 8°C or more.

[0042] The accuracy notification unit 438 notifies the user U of inspection accuracy information indicating the accuracy determined by the accuracy determination unit 437. For example, the accuracy notification unit 438 displays the inspection accuracy information screen by transmitting the configuration data of the inspection accuracy information screen, which includes the inspection accuracy information, to the user terminal 1 via the communication unit 41. This provides the user U with the inspection accuracy information. Furthermore, if the accuracy determination unit 437 determines the accuracy for each set time period (or specified time period), the accuracy notification unit 438 may notify the user U of the inspection accuracy information indicating the accuracy determined for each set time period (or specified time period), distinguishing it by time period (for example, 9:00~10:00, 10:00~11:00, 11:00~12:00, 12:00~13:00, etc.). This allows the user U to be provided with multiple pieces of information on the accuracy of the infrared exterior wall inspection as a basis for deciding whether or not to perform the inspection.

[0043] Alternatively, if the accuracy determination unit 437 determines the accuracy for each set time period (or specified time period), the accuracy notification unit 438 may identify a time period that should be recommended to the user U from among several different set time periods (or specified time periods) based on the accuracy determined for each time period (this is called the recommended inspection time period), and notify the user U of inspection accuracy information indicating the accuracy determined in the identified recommended inspection time period. This makes it possible to provide the user U with the accuracy of the infrared exterior wall inspection as a factor in deciding whether or not to perform the inspection, and reduces the burden of decision-making on the user U. Here, the recommended inspection time period may be, for example, the top predetermined number of time periods with high accuracy determined by the accuracy determination unit 437 (for example, the time period with the highest accuracy). Furthermore, if the accuracy determination unit 437 determines the accuracy for each area of ​​the wall surface to be inspected, the accuracy notification unit 438 may notify the user U of inspection accuracy information indicating the accuracy determined for each area separately for each area.

[0044] Figure 10 shows an example 2 of the display of the inspection accuracy information screen shown on the user terminal 1. The inspection accuracy information screen SC3 shown in Figure 10 displays the accuracy (inspection accuracy) for each area of ​​the wall surface 71 to be inspected, as inspection accuracy information for the building to be inspected (Building A) specified by user U, for the scheduled inspection date and time (December 11, 2024, 9:00-10:00). Here, the accuracy of areas AR14-AR16 of the wall surface 71 to be inspected is displayed as "low," and furthermore, a message indicating that additional inspection is required for areas AR14-AR16 because they are in the shade is displayed. In other words, in this example, the accuracy notification unit 438 provides the user U with the message indicating that additional inspection is required in correspondence with the shaded areas AR14-AR16 determined by the accuracy determination unit 437. In addition to additional inspections, for areas with relatively low accuracy, alternative inspection methods may be used. Therefore, messages encouraging wall inspections using UAVs equipped with high-resolution visible light cameras, or messages encouraging conventional wall inspection methods such as tapping inspections by workers, may be displayed. Tapping inspections may also be performed by workers using wire ropes, etc. When user U selects "Next time slot" 73 on the inspection accuracy information screen SC3, the accuracy information for the next scheduled inspection date and time (for example, December 11, 2024, 10:00-11:00) will be displayed, with the accuracy differentiated for each area of ​​the wall being inspected.

[0045] [ 2. Operation of the Inspection Accuracy Provisioning System S ] Next, with reference to Figures 11 and 12, the operation of the inspection accuracy provision system S will be described in two parts: Example 1 and Example 2. Figure 11 is a flowchart showing an example of the inspection accuracy provision process executed by the control unit 43 of the inspection accuracy determination server 4 in Example 1. Figure 12 is a flowchart showing an example of the inspection accuracy presentation and provision process executed by the control unit 43 of the inspection accuracy determination server 4 in Example 2. In the operation examples described below, we will assume that after the user U specifies the building to be inspected and the scheduled inspection date on the inspection target specification screen SC1 displayed on the user terminal 1, the user U presses the send button 53 to send an information provision request to the inspection accuracy determination server 4. Here, for example, as shown in the scheduled inspection date specification section 52 of the inspection target specification screen SC1 shown in Figure 3, the user U may specify multiple scheduled inspection dates.

[0046] (Example 1) The process shown in Figure 11 begins when an information request sent from the user terminal 1 is received by the communication unit 41 of the inspection accuracy determination server 4. Once the process shown in Figure 11 begins, the control unit 43 receives the building to be inspected (building ID) and the scheduled inspection date specified by the user U via the user specification reception unit 431 (step S1). If the user U specifies a time slot, that time slot is received based on the received information request. If the user U specifies a wall surface to be inspected, that wall surface (wall surface specification information) is received based on the received information request. Next, the control unit 43 selects one of the scheduled inspection dates received in step S1 (step S2).

[0047] Next, the control unit 43 identifies the wall surfaces to be inspected in the building to be inspected that were received in step S1 (step S3). For example, if no wall surfaces to be inspected were received in step S1, all wall surfaces of the building to be inspected, or wall surfaces facing a predetermined directional range (e.g., southeast to southwest), are identified as wall surfaces to be inspected from the building management database 421 based on the building ID of the building to be inspected that were received in step S1. On the other hand, if wall surfaces to be inspected were received in step S1, the wall surfaces to be inspected of the building to be inspected are identified from the building management database 421 based on the building ID of the building to be inspected and the wall surface designation information. Each identified wall surface to be inspected is assigned a unique identifier.

[0048] Next, the control unit 43 obtains wall surface information indicating the orientation of the wall surface to be inspected, which was identified in step S3, from the building management database 421 using the wall surface information acquisition unit 432 (step S4). Next, the control unit 43 obtains weather information indicating the weather around the building to be inspected for each set time period on the scheduled inspection date selected in step S2, from the weather information provision server 2 using the weather information acquisition unit 433, as described above (step S5). If a specified time period has been accepted in step S1, weather information indicating the weather around the building to be inspected for the specified time period on the scheduled inspection date selected in step S2 is obtained from the weather information provision server 2.

[0049] Next, the control unit 43 obtains solar position information from the solar position information provision server 3 using the solar position information acquisition unit 434, as described above, which shows the position of the sun from the building to be inspected on the inspection scheduled date selected in step S2 for each set time period (step S6). If the specified time period was accepted in step S1, solar position information showing the position of the sun from the building to be inspected during the specified time period on the inspection scheduled date selected in step S2 is obtained from the solar position information provision server 3.

[0050] Next, the control unit 43 uses the condition determination unit 435 to determine whether at least one of the weather and wind speed indicated in the weather information acquired in step S5 falls under the above-mentioned conditions for infrared exterior wall inspection being impossible (step S7). If it is determined that the conditions for infrared exterior wall inspection being impossible are met (step S7: YES), the user U is notified by sending inspection impossible information to the user terminal 1 indicating that the specified inspection date is not suitable for infrared exterior wall inspection (step S8), and the process proceeds to step S15. The inspection impossible information thus sent to the user terminal 1 is displayed, for example, in association with the inspection date specified by the user U on the inspection target specification screen. On the other hand, if it is determined that the conditions for infrared exterior wall inspection being impossible are not met (step S7: NO), the process proceeds to step S9. Note that the process in step S7 may be skipped depending on the settings, in which case the process will proceed from step S6 to step S9.

[0051] In step S9, the control unit 43 selects one of the time periods (or specified time periods) of the scheduled inspection date selected in step S2 as the inspection time period. Next, the control unit 43 uses the temperature prediction unit 436 to predict the temperature of the wall surface to be inspected (for example, the maximum and minimum temperature values) identified in step S3 during the inspection time period selected in step S9 (step S10).

[0052] If a temperature is predicted for each region of the wall surface to be inspected, the control unit 43 unfolds the wall surface to be inspected into a two-dimensional coordinate system on RAM based on the floor plan and elevation drawings of the building to be inspected. The control unit 43 then divides the unfolded wall surface to be inspected into multiple different regions, for example as shown in Figure 7, and predicts the temperature for each region as described above. The predicted temperatures are stored in association with the identifier of the wall surface to be inspected identified in step S3 and the position coordinates of each of the multiple regions.

[0053] Next, the control unit 43 determines the accuracy of the infrared exterior wall inspection using the accuracy determination unit 437 based on the temperature predicted in step S10 (step S11). For example, the accuracy determination unit 437 may calculate the temperature range between the maximum and minimum values ​​of the temperature predicted in step S10 and determine the accuracy of the infrared exterior wall inspection based on the calculated temperature range.

[0054] Furthermore, if temperatures are predicted for each region of the wall surface to be inspected, the accuracy determination unit 437 determines the accuracy of the infrared exterior wall inspection for each region based on the temperatures predicted in step S10. For example, the accuracy determination unit 437 may calculate the temperature range between the maximum and minimum temperatures predicted for each region, and then determine the accuracy of the infrared exterior wall inspection for each region based on the calculated temperature range.

[0055] Next, the control unit 43 stores the inspection accuracy information indicating the accuracy determined in step S11, associating it with the building ID of the building to be inspected, the scheduled inspection date specified in step S2, the identifier of the wall surface to be inspected specified in step S3, and the inspection time slot selected in step S9 (step S12). If the accuracy is determined for each area of ​​the wall surface to be inspected, inspection accuracy information indicating the accuracy for each area (which may include the position coordinates for each area) is stored as association with the building ID of the building to be inspected, the scheduled inspection date, the identifier of the wall surface to be inspected, and the inspection time slot.

[0056] Next, the control unit 43 determines whether there are any set time periods (or designated time periods) that have not yet been selected as inspection time periods in step S9 (step S13). If it is determined that there are set time periods (or designated time periods) that have not yet been selected (step S13: YES), the process returns to step S9. As a result, the set time periods (or designated time periods) that have not yet been selected are newly selected as inspection time periods, and the processes from step S10 onward are executed for the selected inspection time periods. On the other hand, if it is determined that there are no set time periods (or designated time periods) that have not yet been selected (step S13: NO), the process proceeds to step S14.

[0057] In step S14, the control unit 43 determines whether there are any walls of the building to be inspected that were received in step S1 but have not yet been identified as walls to be inspected in step S3. If it is determined that there are walls that have not yet been identified as walls to be inspected (step S14: YES), the process returns to step S3. As a result, the previously unidentified walls are newly identified as walls to be inspected, and the processes from step S4 onward are executed for these identified walls. On the other hand, if it is determined that there are no walls that have not yet been identified as walls to be inspected (step S14: NO), the process proceeds to step S15.

[0058] In step S15, the control unit 43 determines whether there are any inspection dates among those received in step S1 that have not yet been selected in step S2. If it is determined that there are inspection dates that have not yet been selected (step S15: YES), the process returns to step S2. As a result, these dates are newly selected as inspection dates that have not yet been selected, and the processes from step S3 onward are executed for the selected inspection dates. On the other hand, if it is determined that there are no inspection dates that have not yet been selected (step S15: NO), the process proceeds to step S16.

[0059] In step S16, the control unit 43 notifies the user U of the inspection accuracy information stored in step S12. For example, the control unit 43 transmits the inspection accuracy information stored in step S12, along with the corresponding building ID, scheduled inspection date, identifier of the wall surface to be inspected, and inspection time zone, to the user terminal 1 via the communication unit 41 using the accuracy notification unit 438. As a result, the inspection accuracy information is associated with the name of the building to be inspected, the scheduled inspection date, and the inspection time zone, etc., and is displayed (notified to the user U) on the inspection accuracy information screen, for example, as shown in Figure 4.

[0060] Furthermore, when accuracy is determined for each area of ​​the wall surface to be inspected, configuration data for the inspection accuracy information screen, including inspection accuracy information (which may include the position coordinates for each area) indicating the accuracy for each area, is transmitted to the user terminal 1. As a result, the inspection accuracy information indicating the accuracy for each area of ​​the wall surface to be inspected is associated with the name of the building to be inspected, the scheduled inspection date, and the inspection time slot, and is displayed on the inspection accuracy information screen, for example, as shown in Figure 10. The configuration data for such an inspection accuracy information screen may include a message indicating that additional investigation is required. Alternatively, the configuration data for the inspection accuracy information screen may include a message encouraging wall inspection using a UAV equipped with a high-resolution visible light camera, or a message encouraging conventional wall inspection methods such as tapping inspection.

[0061] Furthermore, in the loop processing of step S9, if inspection accuracy information indicating the accuracy associated with each of the multiple inspection time periods is stored (i.e., if the accuracy is determined for each inspection time period), the accuracy notification unit 438 identifies a recommended inspection time period from among the multiple inspection time periods as described above, and sends configuration data of the inspection accuracy information screen, including the inspection accuracy information indicating the accuracy determined for the identified recommended inspection time period, to the user terminal 1.

[0062] (Example 2) The process shown in Figure 12, as in Figure 11, begins when the information request sent from the user terminal 1 is received by the communication unit 41 of the inspection accuracy determination server 4. Note that the processes in steps S21 to S23 shown in Figure 12 are the same as the processes in steps S1 to S3 shown in Figure 11.

[0063] Next, the control unit 43 obtains weather information from the weather information provision server 2 via the weather information acquisition unit 433, which shows the weather around the building to be inspected for each set time period on the scheduled inspection date selected in step S22 (step S24). This weather information should preferably include the weather around the wall surface to be inspected and the outside temperature, which were identified in step S23. Note that the processing in steps S25 and S26 shown in Figure 12 is the same as the processing in steps S7 and S8 shown in Figure 11.

[0064] Next, the control unit 43 identifies the maximum and minimum temperatures on the scheduled inspection date selected in step S22 based on the weather information acquired in step S24 (step S27). Then, the control unit 43 calculates the difference in outside temperatures on the scheduled inspection date selected in step S22 based on the maximum and minimum temperatures identified in step S27 (step S28).

[0065] Next, the control unit 43 determines the accuracy of the infrared exterior wall inspection using the accuracy determination unit 437 based on the weather information included in the weather information acquired in step S24 and the difference in outside temperature calculated in step S29 (step S29). For example, the accuracy determination unit 437 may determine the accuracy corresponding to the combination of the weather information included in the weather information acquired in step S24 and the difference in outside temperature calculated in step S29 as the accuracy of the infrared exterior wall inspection using the example table shown in Figure 9.

[0066] Next, the control unit 43 stores the inspection accuracy information, which indicates the accuracy determined in step S29, in association with the building ID of the building to be inspected, the scheduled inspection date identified in step S22, and the identifier of the wall surface to be inspected identified in step S23 (step S30). Note that the processing in steps S31 and S32 shown in Figure 12 is the same as the processing in steps S14 and S15 shown in Figure 11.

[0067] Next, the control unit 43 notifies the user U of the inspection accuracy information stored in step S30 (step S33). For example, the control unit 43 transmits the inspection accuracy information stored in step S30, along with the corresponding building ID, scheduled inspection date, and identifier of the wall surface to be inspected, to the user terminal 1 via the communication unit 41 using the accuracy notification unit 438. As a result, the inspection accuracy information is associated with the name of the building to be inspected, the scheduled inspection date, etc., and displayed on the inspection accuracy information screen (notified to the user U).

[0068] As described above, according to the above embodiment, the temperature of the wall surface to be inspected of the building to be inspected is predicted on the scheduled inspection date for the infrared exterior wall inspection, the accuracy of the infrared exterior wall inspection is determined based on the predicted temperature, and the inspection accuracy information indicating the determined accuracy is notified to the user U involved in the infrared exterior wall inspection. As a result, the accuracy of the infrared exterior wall inspection can be efficiently provided to the user U as a basis for deciding whether or not to carry out the inspection before the infrared exterior wall inspection to be carried out by the UAV. This allows the user U to accurately decide whether or not to carry out the infrared exterior wall inspection of the building to be inspected on the scheduled inspection date based on the notified accuracy, and to determine the need for additional inspections or surveys other than the infrared exterior wall inspection.

[0069] It should be noted that the above embodiment is one embodiment of the present invention, and the present invention is not limited to the above embodiment. Various modifications to the above embodiment may be made without departing from the spirit of the present invention, and even in that case, the modifications will still be within the technical scope of the present invention. In the above embodiment, instead of the information provision server SA, the user terminal 1 (control unit 14) may be configured to predict the temperature of the wall surface to be inspected on the scheduled inspection date for infrared exterior wall inspection, determine the accuracy of the infrared exterior wall inspection based on the predicted temperature, and notify the user U involved in the infrared exterior wall inspection of the inspection accuracy information indicating the determined accuracy. In this case, the user terminal (control unit 14) 1 is configured to communicate with the weather information provision server 2 and the solar position information provision server 3 in addition to the inspection accuracy determination server 4. The user terminal 1 (control unit 14) functions as the user specification reception unit 431, wall surface information acquisition unit 432, weather information acquisition unit 433, solar position information acquisition unit 434, condition compliance determination unit 435, temperature prediction unit 436, accuracy determination unit 437, and accuracy notification unit 438, and executes the process shown in Figure 11. In addition, although the above embodiment was described using a building as an example of a structure, the present invention is also applicable to structures other than buildings (for example, the wall surface of a bridge foundation or the wall surface of a ship). In addition, in the above embodiment, the system is configured to display inspection accuracy information indicating the accuracy of the infrared exterior wall inspection on the inspection accuracy information screen, but as another example, the system may be configured to notify user U of the inspection accuracy information by sending an email containing the inspection accuracy information indicating the accuracy of the infrared exterior wall inspection to user U's email address.

[0070] <Note>

[0071] [1] The information providing device relating to this disclosure is characterized by comprising: a first acquisition means for acquiring weather information showing the weather conditions around a structure subject to infrared exterior wall inspection by an unmanned aerial vehicle on the scheduled date of said infrared exterior wall inspection; an accuracy determination means for determining the accuracy of the infrared exterior wall inspection by an unmanned aerial vehicle based on the weather information acquired by the first acquisition means; and a notification means for notifying a user involved in the infrared exterior wall inspection by an unmanned aerial vehicle of information indicating the accuracy determined by the accuracy determination means. This makes it possible to provide the user with the accuracy of the infrared exterior wall inspection by an unmanned aerial vehicle as a basis for deciding whether or not to carry out said inspection before the inspection is carried out.

[0072] [2] In the information providing device described in [1] above, the accuracy determination means further comprises a prediction means for predicting the temperature of the wall surface of the structure to be inspected by the infrared exterior wall inspection based on weather information acquired by the first acquisition means, and the accuracy of the infrared exterior wall inspection by the unmanned aerial vehicle is determined based on the temperature predicted by the prediction means. This makes it possible to determine the accuracy of the infrared exterior wall inspection by the unmanned aerial vehicle with greater precision from the temperature of the wall surface of the structure, which is predicted based on weather information in the vicinity of the structure to be inspected by the infrared exterior wall inspection.

[0073] [3] The information providing device described in [1] above further comprises a second acquisition means for acquiring wall surface information indicating the orientation of the wall surface of the structure, and a third acquisition means for acquiring solar position information indicating the position of the sun from the structure on the scheduled date for each time period.

[0074] [4] The information providing device described in [2] or [4] above is further provided with a prediction means that predicts the temperature of the wall surface of the structure based on weather information acquired by the first acquisition means, wall surface information acquired by the second acquisition means, and solar position information acquired by the third acquisition means, and is characterized in that the accuracy of the infrared exterior wall inspection by the unmanned aerial vehicle is determined based on the temperature predicted by the prediction means. This makes it possible to predict the temperature of the wall surface of the structure that is the target of the infrared exterior wall inspection by the unmanned aerial vehicle with high accuracy, and because such prediction is possible, the accuracy of the infrared exterior wall inspection by the unmanned aerial vehicle can be determined with higher accuracy.

[0075] [5] In the information providing device described in [2] or [4] above, the prediction means predicts the maximum and minimum temperatures of the wall surface of the structure on the scheduled date, and the accuracy determination means determines the accuracy of the infrared exterior wall inspection by the unmanned aerial vehicle based on the temperature range between the maximum and minimum temperatures predicted by the prediction means. This makes it possible to determine the accuracy of the infrared exterior wall inspection by the unmanned aerial vehicle with greater precision.

[0076] [6] In the information providing device described in [5] above, the accuracy determination means is characterized in that it determines that the greater the temperature range, the higher the accuracy. This makes it possible to determine the accuracy of infrared exterior wall inspection by unmanned aerial vehicles with greater precision.

[0077] [7] In the information providing device described in [5] or [6] above, the prediction means divides the wall surface of the structure into a plurality of different regions and predicts the maximum and minimum values ​​of the temperature for each region; the accuracy determination means determines the accuracy of the infrared exterior wall inspection by the unmanned aerial vehicle for each region based on the temperature range between the maximum and minimum values ​​of the temperature predicted for each region; and the notification means notifies the user of information indicating the accuracy determined for each region by the accuracy determination means, distinguishing it for each region. This makes it possible to provide the user with easily understandable information on the accuracy of the infrared exterior wall inspection by the unmanned aerial vehicle as a more useful criterion for deciding whether or not to carry out the inspection.

[0078] [8] An information providing device according to any one of [5] to [7] above, wherein the prediction means predicts the maximum and minimum temperatures of the wall surface of the structure for each of several different time periods on the scheduled date; the accuracy determination means determines the accuracy of the infrared exterior wall inspection by the unmanned aerial vehicle for each time period based on the temperature range between the maximum and minimum temperatures predicted by the prediction means for each time period; and the notification means notifies the user of information indicating the accuracy determined by the accuracy determination means for each time period, distinguishing it for each time period. This makes it possible to provide the user with multiple pieces of information on the accuracy of the infrared exterior wall inspection by the unmanned aerial vehicle as a basis for deciding whether or not to carry out the inspection.

[0079] [9] In the information providing device described in any one of [5] to [7] above, the prediction means predicts the maximum and minimum temperatures of the wall surface of the structure for each of several different time periods on the scheduled date; the accuracy determination means determines the accuracy of the infrared exterior wall inspection by the unmanned aerial vehicle for each time period based on the temperature range between the maximum and minimum temperatures predicted by the prediction means for each time period; and the notification means identifies a time period from among the several different time periods that should be recommended to the user based on the accuracy determined by the accuracy determination means for each time period, and notifies the user of information indicating the accuracy determined for the identified time period. This makes it possible to provide the user with the accuracy of the infrared exterior wall inspection by the unmanned aerial vehicle as a factor in deciding whether or not to carry out the inspection, and as a factor in reducing the user's decision-making burden.

[0080]

[10] The information providing device described in any one of [1] to [9] above is further characterized by comprising a means for receiving the structure and the scheduled date specified by the user. This improves user convenience when determining whether or not to carry out infrared exterior wall inspection by unmanned aerial vehicle.

[0081]

[11] An information providing device according to any one of [1] to

[10] above, further comprising a condition compliance determination means for determining whether at least one of the weather and wind speed around the structure on the scheduled date falls under predetermined conditions for infrared exterior wall inspection to be impossible, wherein if the condition compliance determination means determines that the conditions for infrared exterior wall inspection to be impossible are met, the notification means notifies the user of information indicating that infrared exterior wall inspection by the unmanned aerial vehicle is impossible. This makes it possible to provide the user with information that infrared exterior wall inspection by the unmanned aerial vehicle cannot be performed more quickly.

[0082]

[12] In the information providing device described in

[11] above, the accuracy determination means determines the accuracy of the infrared exterior wall inspection by the unmanned aerial vehicle only when the condition matching determination means determines that the conditions for infrared exterior wall inspection being impossible are not met. This reduces the processing load required for predicting the temperature of the wall surface of a structure that is subject to infrared exterior wall inspection by an unmanned aerial vehicle and for determining the accuracy of the said infrared exterior wall inspection.

[0083]

[13] The information provision method relating to the present disclosure is an information provision method performed by one or more computers, characterized by including the steps of: acquiring weather information that shows the weather around a structure subject to infrared exterior wall inspection by an unmanned aerial vehicle for each time period on the scheduled date of the infrared exterior wall inspection by an unmanned aerial vehicle; determining the accuracy of the infrared exterior wall inspection by an unmanned aerial vehicle based on the acquired weather information; and notifying a user involved in the infrared exterior wall inspection by an unmanned aerial vehicle of information indicating the determined accuracy.

[0084]

[14] The program relating to the present disclosure is characterized by causing a computer to perform the following steps: acquire weather information indicating the weather conditions around a structure subject to infrared exterior wall inspection by an unmanned aerial vehicle on the scheduled date of the infrared exterior wall inspection by an unmanned aerial vehicle, time by time; determine the accuracy of the infrared exterior wall inspection by an unmanned aerial vehicle based on the acquired weather information; and notify a user involved in the infrared exterior wall inspection by an unmanned aerial vehicle of the information indicating the determined accuracy. [Explanation of Symbols]

[0085] 1 User terminal 2. Weather information server 3. Solar position information server 4. Inspection accuracy judgment server 11 Operation / display section 12 Communications Department 13 Storage section 14 Control Unit 41 Communications Department 42 Storage section 43 Control Unit 431 User-Specified Reception Department 432 Wall surface information acquisition unit 433 Weather Information Acquisition Department 434 Solar position information acquisition unit 435 Condition applicability judgment unit 436 Temperature prediction section 437 Accuracy judgment section 438 Accuracy notification section S Information Provision System

Claims

1. A first acquisition means for acquiring weather information that shows the weather conditions around the structure to be inspected by infrared exterior wall by an unmanned aerial vehicle on the scheduled day of the infrared exterior wall inspection, Based on the weather information acquired by the first acquisition means, an accuracy determination means for determining the accuracy of the infrared exterior wall inspection by the unmanned aerial vehicle, A notification means for notifying the user involved in the infrared exterior wall inspection by the unmanned aerial vehicle of the accuracy determination means, An information providing device characterized by being equipped with the following features.

2. The accuracy determination means further comprises a prediction means that predicts the temperature of the wall surface of the structure subject to the infrared exterior wall inspection based on the weather information acquired by the first acquisition means, The information providing device according to claim 1, characterized in that it determines the accuracy of the infrared exterior wall inspection by the unmanned aerial vehicle based on the temperature predicted by the prediction means.

3. A second acquisition means for acquiring wall surface information indicating the orientation of the wall surface of the aforementioned structure, A third acquisition means for acquiring solar position information that shows the position of the sun from the structure on the aforementioned scheduled date for each time period, The information providing device according to claim 1, further comprising the following:

4. The system further includes a prediction means for predicting the temperature of the wall surface of the structure based on weather information acquired by the first acquisition means, wall surface information acquired by the second acquisition means, and solar position information acquired by the third acquisition means. The information providing device according to claim 3, characterized in that it determines the accuracy of the infrared exterior wall inspection by the unmanned aerial vehicle based on the temperature predicted by the prediction means.

5. The prediction means predicts the maximum and minimum temperatures of the wall surface of the structure on the scheduled date. The information providing device according to claim 2 or 4, characterized in that the accuracy determination means determines the accuracy of the infrared exterior wall inspection by the unmanned aerial vehicle based on the temperature range between the maximum and minimum temperature predicted by the prediction means.

6. The information providing device according to claim 5, characterized in that the accuracy determination means determines that the greater the temperature range, the higher the accuracy.

7. The prediction means divides the wall surface of the structure into a plurality of different regions and predicts the maximum and minimum values ​​of the temperature for each region. The accuracy determination means determines the accuracy of the infrared exterior wall inspection by the unmanned aerial vehicle for each region based on the temperature range between the maximum and minimum predicted temperatures for each region. The information providing device according to claim 5, characterized in that the notification means notifies the user of information indicating the accuracy determined for each area by the accuracy determination means, distinguishing it for each area.

8. The prediction means predicts the maximum and minimum temperatures of the wall surface of the structure for each of several different time periods on the scheduled date. The accuracy determination means determines the accuracy of the infrared exterior wall inspection by the unmanned aerial vehicle for each time period based on the temperature range between the maximum and minimum temperature predicted by the prediction means for each time period. The information providing device according to claim 5, characterized in that the notification means notifies the user of information indicating the accuracy determined for each time period by the accuracy determination means, distinguishing it for each time period.

9. The prediction means predicts the maximum and minimum temperatures of the wall surface of the structure for each of several different time periods on the scheduled date. The accuracy determination means determines the accuracy of the infrared exterior wall inspection by the unmanned aerial vehicle for each time period based on the temperature range between the maximum and minimum temperature predicted by the prediction means for each time period. The information providing device according to claim 5, characterized in that the notification means identifies a time slot to be recommended to the user from among the plurality of different time slots based on the accuracy determined for each time slot by the accuracy determination means, and notifies the user of information indicating the accuracy determined in the identified time slot.

10. The information providing device according to any one of claims 1 to 4, further comprising a means for receiving the structure and the scheduled date specified by the user.

11. The system further includes a condition determination means for determining whether at least one of the weather conditions and wind speed around the structure on the scheduled date falls under predetermined conditions for inability to inspect the exterior wall with infrared rays, The information providing device according to any one of claims 1 to 4, characterized in that, if the condition determination means determines that the condition for infrared exterior wall inspection is not applicable, the notification means notifies the user of information indicating that infrared exterior wall inspection by the unmanned aerial vehicle is not possible.

12. The information providing device according to claim 11, characterized in that the accuracy determination means determines the accuracy of the infrared exterior wall inspection by the unmanned aerial vehicle only when the condition compliance determination means determines that the condition for infrared exterior wall inspection is not met.

13. A method of providing information that is performed by one or more computers, The steps include: obtaining weather information showing the weather conditions around the structure to be inspected by infrared external wall by an unmanned aerial vehicle on the scheduled date of the infrared external wall inspection; Based on the acquired weather information, the step of determining the accuracy of the infrared exterior wall inspection by the unmanned aerial vehicle, The steps include notifying the user involved in the infrared exterior wall inspection by the unmanned aerial vehicle of the information indicating the determined accuracy, A method of providing information characterized by including the following.

14. The steps include: obtaining weather information showing the weather conditions around the structure to be inspected by infrared external wall by an unmanned aerial vehicle on the scheduled date of the infrared external wall inspection; Based on the acquired weather information, the step of determining the accuracy of the infrared exterior wall inspection by the unmanned aerial vehicle, The steps include notifying the user involved in the infrared exterior wall inspection by the unmanned aerial vehicle of the information indicating the determined accuracy, A program characterized by causing a computer to execute something.

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