JP7358427B2 - Programs, servers and access provision methods - Google Patents

Description

The present invention relates to a server that provides access to stored information, a terminal device that acquires and displays information from the server, a program that causes the server or the terminal device to execute processing, a method for providing access performed by the server, and a terminal device. This relates to the information display method performed by the company.

Generally, measurement result data collected by a measuring instrument is transferred to a user's personal computer (PC) or file server via a memory card, communication cable, etc., and saved as a data file. The measurement result data is subjected to analysis such as signal processing using, for example, analysis software installed on a personal computer, and the analysis results are also saved as a file in a PC or a file server. In addition, photos and videos taken during measurements are also saved as files on a PC or file server. These files are managed, for example, in the same folder for each measurement performed.

When a large amount of the above-mentioned files are accumulated through daily measurements, it becomes difficult to find the desired file among them. Furthermore, after a certain amount of time has passed, it may become impossible to remember what each file measured. To avoid such situations, conventional measures have been taken, such as storing files in separate folders for each day of measurement, or applying certain rules to the way files are named. There is. However, such manual file management is troublesome and time-consuming. There is also the problem that file searchability tends to deteriorate due to variations in management methods.

Furthermore, when multiple files related to measurement are related to each other (for example, a data file of measurement results and a file of analysis results thereof), it may be desirable to check the contents of these files together. However, the conventional file management method described above has the problem that each file must be manually found and opened, which is time-consuming.

A first object of the present invention is to provide a program that causes a server to execute a process that allows accurate access to necessary information regarding measurement while reducing user effort, a server that executes the process, and a server that executes the process. The objective is to provide a method for providing access performed by a server.
A second object of the present invention is to provide a program that causes a terminal device to execute a process that makes it possible to easily confirm the contents of a plurality of mutually related pieces of information related to measurement, a terminal device that executes the process, and The object of the present invention is to provide an information display method performed by the terminal device.

A program according to a first aspect of the present invention is a program that causes a server to execute a process of providing access to measurement information stored in a database in response to a request from a terminal device, the measurement information comprising: At least one of numerical data regarding the measurement results, object information regarding the measurement target, condition information regarding the measurement conditions, instrument information regarding the measuring instrument used for the measurement, implementer information regarding the person performing the measurement, and analysis information regarding the analysis of the measurement results. The process that the program causes the server to execute includes, when a search request specifying tag information for search is received from the terminal device, the process that the program causes the server to execute is, when a search request specifying tag information for search is received from the terminal device, searching for measurement information in the database; and at least one of the following: features related to the measurement object, features related to the measurement conditions, features related to the measuring instrument used for the measurement, features related to the person performing the measurement, and features related to the analysis of the measurement results. A characteristic represented by at least one of the numerical data, the target information, the condition information, the measuring instrument information, the implementer information, and the analysis information included in the measurement information from among the plurality of related tag information. and a step of associating the one or more tag information determined for one measurement information with the one measurement information in the database.

A program according to a second aspect of the present invention is a program that causes a terminal device capable of communicating with a server that provides access to measurement information related to measurement results stored in a database to execute a process, and includes a plurality of pieces of measurement information. are associated with each other in the database, and the process that the program causes the terminal device to execute includes a step of displaying a screen including a plurality of items corresponding to a plurality of measurement information, and a step of displaying a screen including a plurality of items corresponding to a plurality of measurement information, When an instruction to select one of the items is input, one of the measurement information corresponding to the selected item and other measurement information associated with the one measurement information are sent from the server. and updating the screen to include the contents of each piece of the acquired measurement information.

A server according to a third aspect of the present invention is a server that provides access to measurement information stored in a database in response to a request from a terminal device, and includes a processing unit and an executable function in the processing unit. The measurement information includes numerical data related to measurement results, object information related to measurement targets, condition information related to measurement conditions, instrument information related to measuring instruments used for measurement, and measurement implementation. The process that the processing unit executes according to the instructions of the program includes at least one of implementer information regarding the person and analysis information regarding the analysis of the measurement results, and the processing that the processing unit executes according to the instructions of the program includes a search request specifying tag information for search. When received from the terminal device, searching the database for the measurement information associated with the tag information specified by the search request; and a step of searching the database for the measurement information associated with the tag information specified by the search request, and the measurement information related to the measurement target, the measurement condition, and the measuring instrument used for measurement. The numerical data, the target information, and the condition information included in the measurement information are selected from among the plurality of tag information related to at least one of the characteristics, the characteristics related to the measurement implementer, and the characteristics related to the analysis of measurement results. , determining one or more of the tag information that applies to the characteristics expressed by at least one of the measuring instrument information, the implementer information, and the analysis information; The method includes a step of associating the tag information with the piece of measurement information in the database.

A terminal device according to a fourth aspect of the present invention is a terminal device capable of communicating with a server that provides access to measurement information related to measurement results stored in a database, and includes a processing unit and a processing unit that performs processing in the processing unit. a storage unit that stores instructions of an executable program, a plurality of pieces of measurement information are associated with each other in the database, and the process that the processing unit executes according to the instructions of the program is based on a plurality of pieces of measurement information. a step of displaying a screen including a plurality of items corresponding to the information; and when an instruction to select one of the plurality of items displayed on the screen is input, a step of displaying a screen including a plurality of items corresponding to the information; The method includes a step of acquiring the measurement information and other measurement information associated with the one measurement information from the server, and updating the screen to include contents of each of the acquired measurement information.

An access providing method according to a fifth aspect of the present invention is an access providing method in which a server provides access to measurement information stored in a database in response to a request from a terminal device, wherein the measurement information is , numerical data regarding the measurement results, object information regarding the measurement target, condition information regarding the measurement conditions, instrument information regarding the measuring instrument used for the measurement, implementer information regarding the person performing the measurement, and analysis information regarding the analysis of the measurement results. If a search request specifying tag information for search is received from the terminal device, searching the database for the measurement information associated with the tag information specified by the search request; , from among the plurality of tag information related to at least one of the following: characteristics related to the measurement object, characteristics related to the measurement conditions, characteristics related to the measuring instrument used for the measurement, characteristics related to the person performing the measurement, and features related to the analysis of the measurement results. , one or more of the tag information applicable to the characteristics expressed by at least one of the numerical data, the target information, the condition information, the measuring instrument information, the implementer information, and the analysis information included in the measurement information. and a step of associating one or more of the tag information determined for one measurement information with the one measurement information in the database.

An information display method according to a sixth aspect of the present invention is an information display method in a terminal device capable of communicating with a server that provides access to measurement information related to measurement results stored in a database, the method comprising: are associated with each other in the database, and a step of displaying a screen including a plurality of items corresponding to a plurality of the measurement information, and an instruction to select one of the plurality of items displayed on the screen is input. Then, one of the measurement information corresponding to the selected one item and the other measurement information associated with the one measurement information are acquired from the server, and the content of each of the acquired measurement information is and updating the screen to include the above information.

According to the present invention, there is provided a program that causes a server to execute a process that allows accurate access to necessary information regarding measurement while reducing user effort, a server that executes such process, and a server that executes such process. It is possible to provide an access provision method performed by such a server. Further, according to the present invention, there is provided a program that causes a terminal device to execute a process that makes it possible to easily confirm the contents of a plurality of mutually related pieces of information related to measurement, a terminal device that executes such a process, and An information display method performed by such a terminal device can be provided.

FIG. 1 is a diagram showing an example of the configuration of a system including a server and a terminal device according to the present embodiment. FIG. 2 is a flowchart for explaining an example of a process of determining search tag information and associating it with measurement information. FIG. 3A is a diagram showing an example of determining tag information from measurement information using a learned model. FIG. 3B is a diagram showing an example of determining tag information from sound/vibration data using a learned model. FIG. 4 is a flowchart for explaining an example of a process of generating sound/vibration feature information from sound/vibration data and registering it in a database. FIG. 5A is a diagram showing an example of a screen of a terminal device including a list of measurement information, and shows an example of the screen including the content of one piece of measurement information selected on the list. 5B and 5C are diagrams showing other examples of the content of measurement information on the screen of the terminal device. FIG. 6 is a diagram showing an example of a screen of a terminal device including a history of one piece of measurement information selected on a list. FIG. 7 is a sequence diagram for explaining an example of server processing in response to a processing request from a terminal device. FIG. 8 is a diagram showing an example of a screen of the terminal device including details of one piece of measurement information selected on the list and other measurement information associated therewith. FIG. 9 is a diagram illustrating an example of a screen of a terminal device that includes one piece of measurement information selected on the list and other pieces of measurement information associated with it. FIG. 10 is a flowchart for explaining an example of a server process in response to a measurement information storage request from a terminal device. FIG. 11 is a diagram illustrating an example of a screen of a terminal device that prompts the user to set tag information.

FIG. 1 is a diagram showing an example of the configuration of a system including a server 1 and a terminal device 3 according to the present embodiment. The server 1 can communicate with the terminal device 3 via a communication network 9 such as the Internet. The server 1 provides access to measurement-related information (hereinafter sometimes referred to as "measurement information") stored in a database in response to a request from the terminal device 3. When the server 1 provides access to the measurement information in the database, the terminal device 3 downloads the measurement information from the database and displays it on the screen, or uploads the measurement information to the database. The server 1 may directly acquire measurement information (measurement result data, etc.) from the measuring instrument 4 connected via the communication network 9, as shown in FIG.

The measurement information includes, for example, at least one of the following information. However, the measuring device in the following description may include a sensor.
(1) Numerical data related to measurement results Examples: Measured values obtained by measuring instruments (sound, vibration, pressure, rotation speed, displacement, velocity, acceleration, angular velocity, torque, flow rate, temperature, biological information, etc.), and measured values Time series data (2) Object information related to the measurement target Examples: Events to be measured (sound, vibration, impact, rotation, speed, heat, flow rate, displacement, dimensions, etc.), things to be measured (vehicles, equipment, facilities, etc.) products, parts)
(3) Condition information related to measurement conditions Examples: Date and time of measurement, name and geographic data of the place where measurement was performed (latitude, longitude, altitude, etc.), sample used for measurement, instruments and equipment used for measurement, measurement The environment in which the measurement was performed, meteorological data such as temperature and humidity, measurement procedure, channel of the measuring instrument used for measurement, measurement range (voltage range, etc.), sampling frequency, calibration value of the measuring instrument, recording time (4) Measuring instrument information related to the measuring instrument used Examples: Model number and manufacturing serial number of the measuring instrument, name of the manufacturer of the measuring instrument, specifications and performance of the measuring instrument, date of calibration of the measuring instrument, owner of the measuring instrument (5) Person performing the measurement Example: Information on the person in charge of the measurement (age, nationality, other personal information), information on departments, groups, and institutions involved in the measurement (6) Analysis information on the analysis of measurement results Example: : Analysis method (signal processing, etc.), name of software and tools used for analysis, data and graphs of analysis results (7) Notes on measurement Examples: Background of measurement, reason for measurement, purpose of measurement, Hypotheses assumed for measurement and consideration of measurement results

In the example of FIG. 1, the server 1 includes a communication section 11, a storage section 12, a processing section 13, and a database section 2.

[Server 1]
The communication unit 11 is a device for communicating with other devices (terminal device 3, measuring instrument 4, etc.) via the communication network 9, and for example, uses a predetermined communication standard (wireless LAN, Ethernet (registered trademark), etc.). Includes communication equipment (network interface cards, etc.) that performs communications in accordance with the .

The storage unit 12 stores instructions of the program PG1 executed in the processing unit 13, data temporarily stored during the process of processing by the processing unit 13, and data used for processing of the processing unit 13 (a learned model described later). MD, etc.), data obtained as a result of processing by the processing unit 13, etc. are stored. The storage unit 12 includes, for example, a main storage device (ROM, RAM, etc.) and an auxiliary storage device (flash memory, SSD, hard disk, optical disk, etc.). The storage unit 12 may be composed of one storage device or may be composed of a plurality of storage devices. Each storage device constituting the storage section 12 is connected to the processing section 13 via a computer bus or any other data transmission means.

The program PG1 may be input from a reading device (not shown) recorded on a computer-readable recording medium (USB memory, memory card, optical disk, etc.) and stored in the storage unit 12, or may be stored in the communication unit 11 by another computer. The information received from the device may be stored in the storage unit 12.

The processing unit 13 centrally controls the overall operation of the server 1 and executes predetermined information processing. The processing unit 13 includes, for example, one or more processors (CPU, MPU, DSP, etc.) that execute processing according to instructions of the program PG1 stored in the storage unit 12. The processing unit 13 operates as a computer by having one or more processors execute instructions of the program PG1 stored in the storage unit 12. The server 1 may include such a plurality of computers, and these computers may cooperate to execute processing by communicating via an arbitrary communication network.

Processing unit 13 may include one or more dedicated hardware (ASIC, FPGA, etc.) configured to implement a specific function. In this case, the processing unit 13 may execute all of the processing on a computer, or may execute at least part of the processing on dedicated hardware.

In the example of FIG. 1, the database unit 2 includes a user database 21, a measurement information database 22, and a tag information database 23. The database unit 2 is configured to include one or more storage devices such as a hard disk or SSD. The database section 2 may include one or more computers connected to a network such as the Internet. In this case, the processing section 13 of the server 1 communicates with the computer of the database section 2 via the communication section 11. The information in the database unit 2 may also be accessed. Hereinafter, the database may be referred to as "DB".

The user DB 21 stores information about users (user identification information, user name, contact information, department, etc.) and information for personal authentication (password etc.) in a searchable manner.

The measurement information DB 22 stores measurement information uploaded by each user in a searchable manner. Measurement information is associated with information about the user who uploaded it (measurement information owner) and information about users who are allowed to view or edit measurement information other than the owner (measurement information sharer). It is being

Furthermore, in the measurement information DB 22, at least some of the measurement information is associated with one or more search tag information. The tag information includes, for example, information (one or more words) related to at least one of the following characteristics of measurement information.
(1) Characteristics related to the measurement target Example: Size and extent of the measurement target event (sound, vibration, etc.), the measurement target object (vehicle, equipment, etc.), the measurement target quantity (acceleration, pressure, etc.) (2) Measurement conditions Characteristics related to the measurement Example: period and time of measurement, place and region where measurement was performed, sample used for measurement, instruments and equipment used for measurement, environment in which measurement was performed, measurement procedure (3) Use for measurement Characteristics related to the measuring instrument that was used (e.g. type of measuring instrument, manufacturer of the measuring instrument, specifications and performance of the measuring instrument, owner of the measuring instrument (4) Characteristics related to the person performing the measurement Example: department, group, institution involved in the measurement ( 5) Characteristics related to analysis of measurement results Example: analysis method, software and tools used for analysis, method of displaying analysis results

In the measurement information DB 22, at least some measurement information may be associated with one or more other measurement information. The association of measurement information is set, for example, for a plurality of pieces of measurement information (data of measurement results, data obtained by analyzing the data, etc.) related to implementation of the same measurement.

In addition, the measurement information DB 22 may further store sound/vibration characteristic information for at least part of the measurement information including data related to sound or vibration (hereinafter sometimes referred to as "sound/vibration data"). good. The sound/vibration feature information is information regarding the feature of sound or vibration represented by the sound/vibration data included in the measurement information. For example, the sound/vibration feature information includes a feature amount of sound or vibration calculated by applying a known feature amount analysis method to sound/vibration data that is time-series data of sound or vibration. This sound/vibration feature information is used, for example, to search for measurement information that includes sound/vibration data similar to the given sound/vibration data.

The tag information DB 23 stores tag information associated with each piece of measurement information in the measurement information DB 22. In the tag information DB 23, for example, one or more classifications may be assigned to each piece of tag information. The classification of tag information is, for example, a classification related to the characteristics of measurement information (characteristics related to the measurement object, characteristics related to measurement conditions, characteristics related to the measuring instrument used for measurement, characteristics related to the person performing the measurement, characteristics related to analysis of measurement results, etc.). It's good.

[Terminal device 3]
In the example of FIG. 1, the terminal device 3 includes a communication section 31, an input section 32, a display section 33, a storage section 34, and a processing section 35.

The communication unit 31 is a device for communicating with other devices (such as the server 1) via the communication network 9, and for example, communicates in accordance with a predetermined communication standard (wireless LAN, Ethernet (registered trademark), etc.). Includes communication equipment (such as network interface cards) that performs

The input unit 32 inputs instructions and other information according to user operations to the processing unit 35. For example, the input unit 32 includes at least one device with an input function such as a button, a keyboard, a mouse, a touch pad, a touch panel, a microphone, and a camera.

The display unit 33 is a device that displays a video according to the video signal generated by the processing unit 35, and includes display devices such as a liquid crystal display and an organic EL display.

The storage unit 34 stores instructions of the program PG2 executed in the processing unit 35, data temporarily stored during the process of processing by the processing unit 35, data used for processing of the processing unit 35, and processing of the processing unit 35. Store the data obtained as a result. The storage unit 34 includes, for example, a main storage device (ROM, RAM, etc.) and an auxiliary storage device (flash memory, SSD, hard disk, optical disk, etc.). The storage unit 34 may be composed of one storage device or may be composed of a plurality of storage devices. Each storage device constituting the storage unit 34 is connected to the processing unit 35 via a computer bus or other arbitrary data transmission means.

The program PG2 may be input from a reading device (not shown) recorded on a computer-readable recording medium (USB memory, memory card, optical disk, etc.) and stored in the storage unit 34, or may be stored in the communication unit 31 by another computer. The information received from the device may be stored in the storage unit 34.

Here, the operation of the server 1 and the terminal device 3 having the above-described configuration will be explained.

FIG. 2 is a flowchart for explaining an example of a process of determining search tag information and associating it with measurement information.
At a predetermined timing for determining tag information associated with measurement information in the measurement information DB 22 (Yes in ST100), the processing unit 13 of the server 1 determines tag information that applies to the characteristics represented by the measurement information (ST105). For example, the processing unit 13 tags when a preset condition is met, such as when a predetermined time period has entered, when a predetermined event has occurred, or when measurement information has been uploaded from the terminal device 3. Information is determined (ST105).

When determining tag information, the processing unit 13 selects measurement information to be determined as tag information from among the plurality of measurement information stored in the measurement information DB 22. For example, the processing unit 13 selects measurement information that is not yet associated with tag information in the measurement information DB 22 as a determination target. Furthermore, when measurement information is uploaded from the terminal device 3, the processing unit 13 may select this uploaded measurement information as a determination target.

The processing unit 13 generates a plurality of pieces of tag information related to at least one of characteristics related to the measurement target, characteristics related to measurement conditions, characteristics related to the measuring instrument used for measurement, characteristics related to the person performing the measurement, and characteristics related to analysis of measurement results. Select one or more pieces of tag information that match the characteristics expressed by at least one of the numerical data, target information, condition information, measuring instrument information, operator information, and analysis information included in the measurement information selected as the determination target. judge.

For example, the processing unit 13 determines one or more pieces of tag information from among the pieces of tag information stored in the tag information DB 23. The processing unit 13 may determine one or more pieces of tag information for each category of tag information in the tag information DB 23 for one piece of measurement information.

The processing unit 13 may use one or more learned models MD stored in the storage unit 12 to determine tag information. FIG. 3A is a diagram showing an example of determining tag information from measurement information using a learned model MD.

The learned model MD includes a plurality of tags related to at least one of the following: features related to the measurement object, features related to the measurement conditions, features related to the measuring instrument used for the measurement, features related to the person performing the measurement, and features related to the analysis of the measurement results. From among the information, identify one or more pieces of tag information that apply to the characteristics expressed by at least one of the numerical data, target information, condition information, measuring instrument information, operator information, and analysis information included in the given measurement information. is generated as follows. For example, the learned model MD is a combination of at least part of measurement information (at least one of numerical data, target information, condition information, measuring instrument information, implementer information, and analysis information) and tag information as training data. The tag information is generated to identify the tag information from at least a portion of the measurement information. Any machine learning algorithm can be used to generate the trained model MD, and for example, known algorithms such as linear regression, logistic regression, support vector machine, decision tree, random forest, gradient boosting, and neural network can be used.

The processing unit 13 may determine tag information using different learned models MD depending on the type of tag information to be determined. That is, the processing unit 13 may determine tag information for each classification or type using a different learned model MD for each classification of tag information in the tag information DB 23 or for each finer type within the classification.

For example, based on the sound/vibration data included in the measurement information, the processing unit 13 selects one tag information that applies to the sound or vibration characteristics represented by the sound/vibration data from among a plurality of pieces of tag information related to sound or vibration characteristics. The above tag information may be determined.

The learned model MD stored in the storage unit 12 can be used to determine the tag information regarding the characteristics of sound or vibration. FIG. 3B is a diagram showing an example of determining tag information from sound/vibration data using a learned model MD. In this case, the trained model MD identifies one or more pieces of tag information that apply to the sound or vibration characteristics represented by the given sound/vibration data, from among multiple pieces of tag information regarding sound or vibration characteristics. generated. The learned model MD is generated by an arbitrary machine learning algorithm using a combination of sound/vibration data and tag information as teacher data so as to identify tag information from sound/vibration data. By applying the sound/vibration data included in one piece of measurement information to one or more trained models MD, the processing unit 13 generates one or more tag information (related to sound or vibration characteristics) for the one piece of measurement information. tag information).

The processing unit 13 generates tag information related to the characteristics of the sound or vibration, such as tag information related to the source of the sound or vibration, tag information related to the physical information of the sound or vibration, and tag information related to words associated with the sound or vibration. At least one of the information may be determined.
The tag information regarding the source of sound or vibration includes, for example, words regarding a vehicle that generates sound or vibration and its generation location, equipment and its generation location, and facility and its generation location.
The tag information related to the physical information of sound or vibration includes, for example, words related to the size of the sound or vibration, the pitch of the sound, the speed of the vibration, the timbre, the quality of the sound, the pattern of the vibration, and the like.
Words associated with sound or vibration include, for example, words expressing the degree or characteristics of sound or vibration, onomatopoeia, and the like.

Tag information related to the source of sound or vibration, tag information related to physical information of sound or vibration, and tag information related to words associated with sound or vibration are obtained using individually prepared trained models MD. You may judge. The storage unit 12 may store at least one of these trained models MD.
For example, the processing unit 13 performs learning that is generated to identify tag information applicable to the source of sound or vibration represented by given sound/vibration data from among a plurality of pieces of tag information regarding the source of sound or vibration. The completed model MD may be used to determine tag information (tag information regarding the source of sound or vibration) to be associated with one piece of measurement information.
Furthermore, the processing unit 13 generates tag information that is applicable to the physical information of the sound or vibration that the given sound/vibration data represents from among the plurality of tag information related to the physical information of the sound or vibration. The learned model MD may be used to determine tag information (tag information related to physical information of sound or vibration) to be associated with one piece of measurement information.
Furthermore, the processing unit 13 identifies tag information that applies to a phrase associated with the sound or vibration expressed by the given sound/vibration data from among a plurality of pieces of tag information regarding phrases associated with the sound or vibration. The generated trained model MD may be used to determine tag information (tag information related to words associated with sound or vibration) to be associated with one piece of measurement information.

Note that when determining tag information that applies to the characteristics of each information (numeric data, target information, condition information, measuring instrument information, implementer information, and analysis information) included in the measurement information, the processing unit 13 performs the learning described above. The determination may be made by a method that does not use the completed model MD. For example, tag information may be determined based on each piece of information included in the measurement information using an algorithm based on preset rules.

Return to Figure 2.
After determining the tag information for the measurement information in step ST105, the processing unit 13 of the server 1 associates this measurement information with the tag information in the measurement information DB 22. That is, the processing unit 13 associates one or more pieces of tag information determined for one piece of measurement information with the piece of measurement information in the measurement information DB 22 . The processing unit 13 repeats steps ST100 to ST110 described above while continuing the processing of the server 1 (No in step ST115).

In this manner, in this embodiment, search tag information is automatically determined for the measurement information accumulated in the measurement information DB 22, and association with the measurement information is set. Therefore, it is possible to reduce the effort required for the user to determine the tag information himself and set the association with the measurement information. In addition, since there is no variation in the judgment criteria that occurs when tag information is judged subjectively by a person, users can accurately search for the measurement information they desire by specifying appropriate tag information as a search keyword. I can do it.

In addition, in this embodiment, for measurement information including sound/vibration data in the measurement information DB 22, tag information (tag information regarding the source of sound or vibration, (tag information related to physical information of sound or vibration, tag information related to words associated with sound or vibration, etc.) are associated with the tag information. Therefore, by specifying appropriate tag information regarding the characteristics of sound or vibration as a search keyword, it is possible to accurately search for measurement information including sound/vibration data desired by the user.

Furthermore, in this embodiment, since the learned model MD is used to determine tag information, even if the types of measurement information accumulated in the measurement information DB 22 increase, the tag information DB 23 will be updated in accordance with the increase in the types of measurement information. By increasing the tag information and appropriately regenerating the trained model MD in accordance with the increase in the tag information, it is possible to determine appropriate tag information that matches the characteristics of the measurement information.

FIG. 4 is a flowchart for explaining an example of a process of generating sound/vibration feature information from sound/vibration data and registering it in the measurement information DB 22.
At a predetermined timing for generating sound/vibration feature information for the sound/vibration data included in the measurement information in the measurement information DB 22 (Yes in ST200), the processing unit 13 of the server 1 generates the sound/vibration data included in the measurement information. One or more sound/vibration feature information regarding one or more features of the sound or vibration represented by is generated (ST205). For example, the processing unit 13 generates a sound when preset conditions are met, such as entering a predetermined time period, when a predetermined event occurs, or when measurement information is uploaded from the terminal device 3. Vibration feature information is generated (ST205).

When generating sound/vibration feature information, the processing unit 13 selects measurement information for which sound/vibration feature information is to be generated from among a plurality of pieces of measurement information stored in the measurement information DB 22 . For example, the processing unit 13 selects measurement information for which sound/vibration feature information has not yet been generated from among the measurement information including sound/vibration data in the measurement information DB 22 as a generation target. Further, when measurement information including sound/vibration data is uploaded from the terminal device 3, the processing unit 13 may select the sound/vibration data of the uploaded measurement information as a generation target.

The sound/vibration feature information generated by the processing unit 13 is, for example, one or more evaluation value information corresponding to one or more types of sound or vibration (hereinafter sometimes referred to as "sound/vibration types"). including. The evaluation value information includes information regarding a plurality of evaluation values corresponding to a plurality of time segments in the sound/vibration data. One evaluation value corresponding to one sound/vibration type and one time segment is a numerical value representing the degree to which the sound or vibration in the one time segment is compatible with the one sound/vibration type.
As an example, it is assumed that there are five sound/vibration types: "animal", "conversation", "bird's cry", "outdoors (rural or natural)", and "outdoors (urban or artificial)". The processing unit 13 divides the sound/vibration data into a plurality of time segments with a constant time width, and obtains an evaluation value for each time segment. That is, the processing unit 13 obtains, as an evaluation value, the degree to which the sound or vibration matches a specific sound/vibration type (for example, "animal") in each time segment. At this time, the processing unit 13 uses a trained model that has been trained to output the probability that the input sound/vibration data matches a specific sound/vibration type as an evaluation value, and uses the trained model to output an evaluation value for each time segment. may be obtained. The processing unit 13 obtains evaluation values for a plurality of time segments for each of the five types of sound and vibration. Then, the processing unit 13 acquires five evaluation value information based on evaluation value groups (evaluation values of a plurality of time segments) acquired for each of the five sound/vibration types. One piece of evaluation value information may include a group of evaluation values obtained for one corresponding sound/vibration type (for example, "animal") as is, or may include evaluation values that express the degree of conformity to the one sound/vibration type. It may include the value obtained based on the value group (for example, the maximum value, average value, etc. in the evaluation value group), or it may include both of these.

Alternatively, the processing unit 13 may generate sound/vibration feature information including sound or vibration feature quantities by applying a known feature analysis method (cepstral analysis, etc.) to the sound/vibration data. good.

When the processing unit 13 generates one or more sound/vibration feature information for the sound/vibration data included in the measurement information, the processing unit 13 associates the generated one or more sound/vibration feature information with the measurement information and stores it in the measurement information DB 22. Store (ST210). The processing unit 13 repeats steps ST200 to ST210 described above while continuing the processing of the server 1 (No in step ST215).

The processing unit 13 of the server 1 issues a sound/vibration data search request to search for sound/vibration data similar to the sound/vibration data from the terminal device 3 into which a user's instruction is input, for example, on the screen of FIG. 5, which will be described later. is received, one or more sound/vibration feature information is generated based on this sound/vibration data, and associated with one or more sound/vibration feature information similar to the generated one or more sound/vibration feature information. The measurement information DB 22 is searched for the measurement information.
Further, when receiving a sound/vibration data search request specifying a search condition related to sound/vibration feature information from the terminal device 3, the processing unit 13 selects one or more pieces of sound/vibration feature information associated with the sound/vibration feature information that meet this search condition. The measurement information may be searched in the measurement information DB 22.

In this embodiment, sound/vibration feature information is automatically generated for sound/vibration data of measurement information stored in the measurement information DB 22. When searching for sound/vibration data in response to a sound/vibration data search request from the terminal device 3, sound/vibration feature information of the sound/vibration data searched for in this sound/vibration data search request is provided. Measurement information associated with sound/vibration feature information similar to is searched in the measurement information DB 22. Therefore, it is possible to easily search for measurement information that includes sound/vibration data similar to the sound/vibration data specified by the user of the terminal device 3 from among a large amount of measurement information stored in the measurement information DB 22. can. Furthermore, since the sound/vibration feature information is stored in advance in the measurement information DB 22, it is possible to quickly determine the similarity between the sound/vibration data to be searched and the sound/vibration data stored in the measurement information DB 22.

FIG. 5A is an example of a screen of the terminal device 3 that includes a list of measurement information stored in the measurement information DB 22 and details of one piece of measurement information selected on the list.

For example, after logging into the server 1 using the user's identification information and predetermined authentication information (password, etc.), the terminal device 3 displays a screen including a list of measurement information as shown in FIG. 5A on the display unit 33. to be displayed. In the example of FIG. 5A, a plurality of items corresponding to a plurality of pieces of measurement information are displayed as a list of measurement information in an area A20 on the left side of window A on the screen. In area A50 on the right side of window A, the contents of one piece of measurement information selected on the list in area A20 (measurement information corresponding to one item selected from a plurality of items) are displayed.

The list of measurement information in area A20 includes a column A21 in which check boxes A22 for selecting each piece of measurement information included in the list are arranged, and a column A23 in which marks A24 and A25 indicating the sharing status of measurement information are arranged. , a column A26 in which a mark A27 indicating the measurement information set as a favorite by the user is arranged, a column A28 in which the name of the measurement information is listed, and a symbol indicating the type of measurement information file (for example, the file extension ) and a column A30 in which dates and times related to the measurement information (for example, the date and time when the measurement information was uploaded, the date and time when the measurement information was updated, etc.) are listed. The mark A24 indicates that the user of the terminal device 3 is the owner of the measurement information, and the mark A25 indicates that the user of the terminal device 3 is the sharer of the measurement information.

Above the area A20, there are a text box A1 in which a keyword for searching measurement information is input, a button A2 for executing a search using the keyword input in the text box A1, and a search file (for example, sound, button A3 for inputting (vibration data file), button A4 for extracting measurement information set as favorites and displaying it in the list of area A20, and button A4 for extracting measurement information set as favorites and displaying it in the list of area A20, and displaying temporarily deleted measurement information in the list of area A20. A button A5 for display is arranged.

Between the text box A1 and the buttons A2 to A5 and the area A20, there is a button A6 for uniformly setting the check box A22 of the column A21 to a checked state or an unchecked state, and a check box A22 is set to a checked state. Buttons A7 to A11 are arranged for executing predetermined processing on the measured information, respectively. Button A7 is a button for executing a predetermined analysis on measurement information. Button A8 is a button for setting the shared state of measurement information. Button A9 is a button for changing the name of the measurement information in column A28. Button A10 is a button for displaying a plurality of other processes for measurement information in a selectable manner. Button A11 is a button for deleting measurement information from measurement information DB22.

In the area A50, a plurality of areas (A52, A53, A55) indicating the contents of each piece of information included in the measurement information are arranged in a line in the vertical direction. A scroll bar A51 for scrolling these areas up and down is arranged on the right side of the area A50. Information regarding the file is written in area A52, waveforms of a plurality of channels obtained as measurement results are displayed in area A53, and a map showing the location where the measurement was performed is displayed in area A55. A button A54 placed next to the waveform of each channel in the area A53 is a button for reproducing the waveform as sound.
When the measurement information includes photo data, a photo image as shown in FIG. 5B is displayed in the area A50 as the content of the measurement information. Further, when the measurement information includes analysis information, a waveform or a graph of the analysis result as shown in FIG. 5C is displayed in the area A50 as the content of the measurement information.

Above area A50, there is an area A40 in which the ranking of measurement information included in the list is written, buttons A41 and A42 for switching measurement information included in the list, and buttons A41 and A42 for switching measurement information included in the list, and buttons A41 and A42 for switching measurement information included in the list, and buttons A41 and A42 for switching measurement information included in the list. An area A43 in which the file size is written is arranged. A button A44 for displaying the content of measurement information in the area A50 and a button A45 for displaying the history of measurement information as shown in FIG. 6 are arranged between the area A43 and the area A50.

FIG. 6 is a diagram showing an example of the screen of the terminal device 3 on which the history of measurement information is displayed, and shows an example of the screen including the history of one piece of measurement information selected on the list in area A20. In area A70 next to area A20 in which the list of measurement information is displayed, a list representing the history of one piece of measurement information selected on the list in area A20 is displayed. In this history list, the contents of the history (editing numerical data, restoring numerical data, access history, execution of analysis, etc.) are written in column A78, and the date and time of the history is written in column A79. A scroll bar A71 for scrolling the list up and down is arranged in the history list.

Furthermore, in column A76 of the history list in area A70, there is a radio button A77 for selecting a history in which data after editing or restoration is still saved among the history in which numerical data has been edited or restored. is placed. In the example of FIG. 6, column A78 showing the history contents includes seven histories in which numerical data was edited or restored, and among the seven histories, radio button A77 is placed in column A76. The four histories still contain data after editing or restoration.

Above the history list in area A70, buttons A72 to A75 are arranged for executing predetermined processing on past data (such as numerical data of measurement results) selected with radio button A77. Button A72 is a button for displaying selected past data. Button A73 is a button for downloading selected past data. Button A74 is a button for deleting selected past data. Button A75 is a button for restoring the selected past data as the latest data.

Note that the processing unit 13 may allow the user to set for each measurement information whether or not to save the data before editing as a history when the data included in the measurement information is edited.

FIG. 7 is a sequence diagram for explaining an example of processing by the server 1 in response to a processing request from the terminal device 3.
When the terminal device 3 inputs a search instruction for measurement information specifying search conditions (ST300), it transmits a search request for measurement information matching the search conditions to the server 1 (ST305). When the processing unit 13 of the server 1 receives a measurement information search request from the terminal device 3, it searches the measurement information DB 22 for measurement information to be searched related to the received search request (ST310). For example, the processing unit 13 of the server 1 searches the measurement information DB 22 for measurement information associated with tag information that is the same as or similar to the keyword received along with the search request.

The processing unit 13 of the server 1 also receives a search request (sound/vibration data search request) from the terminal device 3 requesting to search for sound/vibration data similar to the specific sound/vibration data specified in the search request. In this case, one or more sound/vibration feature information is generated for this specific sound/vibration data, and the information is associated with one or more sound/vibration feature information similar to the generated one or more sound/vibration feature information. The measurement information may be searched in the measurement information DB 22. For example, based on one or more pieces of sound/vibration feature information generated for specific sound/vibration data, the processing unit 13 of the server 1 may generate information regarding sound/vibration feature information similar to the specific sound/vibration data. You may set conditions and search the measurement information DB 22 for one or more pieces of measurement information associated with sound/vibration feature information that meet the set conditions.

Furthermore, when the processing unit 13 of the server 1 receives a sound/vibration data search request specifying search conditions regarding sound/vibration feature information from the terminal device 3, the processing unit 13 determines whether the sound/vibration data search request that is associated with the sound/vibration feature information that meets the search conditions is received from the terminal device 3. One or more pieces of measurement information may be searched in the measurement information DB 22. As search conditions regarding sound/vibration feature information, various conditions such as those described below may be set, for example.
・Contains a time segment in which the evaluation value for a specific sound/vibration type (such as “animal” or “conversation” mentioned above) is greater than a predetermined threshold value ・Evaluation value group for a specific sound/vibration type The maximum value of is greater than a predetermined threshold. The conditions for multiple evaluation values defined for multiple sound/vibration types satisfy a predetermined logical relationship (AND, OR, etc.). It becomes possible to search for sound/vibration data that includes sounds and vibrations that match the type of sound/vibration under various conditions.
Furthermore, in this case, the processing unit 13 of the server 1 may identify one or more time periods that meet the search conditions regarding evaluation values in the sound/vibration data included in the measurement information found by the search in the measurement information DB 22. . For example, if the search condition is that the maximum value in the group of evaluation values for a specific sound/vibration type includes a time segment that is larger than a predetermined threshold, the processing unit 13 of the server 1 will search for the maximum value ( The time segment in which the maximum evaluation value in the evaluation value group was obtained may be specified. This significantly reduces the user's effort compared to when the user listens to the playback of sound/vibration data himself and searches for the time segment in which the desired sound (sound with the highest evaluation value) is recorded. can do.

When the processing unit 13 of the server 1 obtains the measurement information search result, it transmits the information of the search result (information for configuring a list of measurement information found by the search) to the terminal device 3 (ST315). Based on the search result information received from the server 1, the processing unit 35 of the terminal device 3 displays a screen containing a list of measurement information (a plurality of items corresponding to a plurality of measurement information) as shown in FIGS. 5A and 6. screen) is displayed (ST320).

When the processing unit 35 of the terminal device 3 receives an instruction to select one piece of measurement information from the list displayed on the screen (an instruction to select one of a plurality of items corresponding to a plurality of pieces of measurement information) (ST325) , requests the selected measurement information (measurement information corresponding to the selected item) from the server 1 (ST330). When the processing unit 13 of the server 1 receives this request from the terminal device 3, it reads the requested measurement information from the measurement information DB 22 (ST335) and transmits it to the terminal device 3 (ST340). The processing unit 35 of the terminal device 3 displays a screen (FIG. 5A, FIG. 6, etc.) including the content of the measurement information received from the server 1 on the display unit 33 (ST345).

When each button in FIG. 5A or FIG. 6 is pressed (ST350), the processing unit 35 of the terminal device 3 transmits a processing request corresponding to the pressed button to the server 1 (ST355). When the processing unit 13 of the server 1 receives the processing request from the terminal device 3, it executes processing according to the received processing request (ST360), and sends screen update information for updating the screen according to the result of the processing. It is transmitted to the terminal device 3 (ST365). The processing unit 35 of the terminal device 3 updates the screen according to the screen update information received from the server 1 (ST370).

In this way, according to the present embodiment, it is possible to easily check the list of measurement information found through a search as well as the content and history of measurement information selected on the list.

Note that if one piece of measurement information selected on the list of measurement information is associated with one or more other pieces of measurement information in the measurement information DB 22, the processing unit 35 of the terminal device 3 uses the measurement information selected on the list. In addition to the content and history of this measurement information, the content and history of other measurement information associated with this measurement information may be displayed on the screen. That is, when an instruction to select one piece of measurement information in the list displayed on the screen (an instruction to select one of a plurality of items corresponding to a plurality of pieces of measurement information) is input, the processing unit 35 selects the selected one. One measurement information (measurement information corresponding to the selected item) and other measurement information associated with the one measurement information are acquired from the server 1, and the content and history of each acquired measurement information is included. You may update the screen.

FIG. 8 is a diagram showing an example of a screen of the terminal device 3 including the measurement information selected on the list and other measurement information associated therewith. In the example of FIG. 8, on the right side of the area A20 that includes the list of measurement information, an area A60 that includes the contents of a plurality of mutually associated measurement information is arranged. In the area A60, areas A62, A63, A68, and A69 containing the content of one measurement information selected on the measurement information list and the content of other measurement information associated with this one measurement information are arranged vertically. A scroll bar A65 for scrolling these areas up and down is arranged on the right side of the area A60. The measurement information area A62 selected on the measurement information list is arranged at the uppermost position in the area A60. Area A63 includes graphs A66 and A67 representing analysis information regarding spectrum analysis of sound or vibration. Graph A67 is a graph representing the results of spectrum analysis at each time. Further, a button A64 for canceling the association is arranged in areas (A63, A68, A69) of other measurement information associated with one piece of measurement information selected on the list.

FIG. 9 is a diagram showing an example of a screen of the terminal device 3 including a history of measurement information selected on the list and other measurement information associated with the measurement information. In FIG. 9, on the right side of the area A20 that includes a list of measurement information, an area A80 that includes a plurality of histories of measurement information that are associated with each other is arranged. Area A80 includes areas A82, A83, and A85 that are arranged vertically and include a history of one measurement information selected on the measurement information list and a history of other measurement information associated with this one measurement information. A scroll bar A81 for scrolling these areas up and down is arranged on the right side of the area A80. The measurement information area A82 selected on the measurement information list is arranged at the uppermost position in the area A80. The history lists included in areas A82, A83, and A85 are similar to the history list displayed in area A70 in FIG. 6. In the area A84 above this list, buttons for displaying, downloading, and deleting the selected past data are arranged, similar to the buttons A72 to A74 provided in the area A70 of FIG.

As described above, according to the present embodiment, when displaying the contents and history of one piece of measurement information on the screen, the contents and history of one or more pieces of other measurement information associated with this one piece of measurement information are also displayed. can be displayed on the screen, and the contents and history of multiple mutually related pieces of information related to measurement can be easily confirmed on the screen.

FIG. 10 is a flowchart for explaining an example of the processing of the server 1 in response to a measurement information storage request from the terminal device 3.
When the processing unit 13 of the server 1 receives a measurement information storage request requesting storage of measurement information in the measurement information DB 22 from the terminal device 3 (Yes in ST400), the processing unit 13 stores the measurement information related to the measurement information storage request in the measurement information DB 22. At the same time (ST405), one or more tag information is determined for this measurement information (ST410). The processing unit 13 may, for example, determine the tag information using one or more learned models MD.

When the processing unit 13 determines one or more tag information for the measurement information related to the measurement information storage request received from the terminal device 3, the processing unit 13 selects one or more tag information candidates including the determined one or more tag information. , displays on the terminal device 3 a screen prompting the user to select tag information to be associated with the measurement information related to the measurement information storage request (ST415).

FIG. 11 is a diagram showing an example of a screen of the terminal device 3 that prompts selection and setting of tag information.
The terminal device 3 displays a screen including a window B as shown in FIG. 11, for example, as a screen prompting the setting of tag information. This window B includes checklists B1 to B4 for setting tag information using check boxes for each type of tag information. In these checklists B1 to B4, the tag information candidates determined in step ST410 are set in a checked state in advance. A text box B5 for inputting tag information in free words is arranged below the checklists B1 to B4. At the bottom of the window B, a button B6 for determining the setting of tag information and transmitting it to the server 1 is arranged. Note that the button B7 is a button for adding a text box B5 for inputting a free word of tag information.

When button B6 is pressed on the screen prompting selection of tag information shown in FIG. 11, the processing unit 35 of the terminal device 3 issues a tag information association request requesting association between the tag information selected on this screen and measurement information. Send to server 1. Upon receiving the tag information association request from the terminal device 3, the processing unit 13 of the server 1 stores the tag information related to the received tag information association request and the measurement information related to the measurement information storage request received in step ST400 in the measurement information DB 22. (ST420).

As described above, according to the present embodiment, the user can set tag information while referring to tag information candidates automatically determined based on measurement information. Work load can be effectively reduced.

Note that when the processing unit 13 of the server 1 associates the tag information related to the tag information association request with the measurement information related to the measurement information storage request, the processing unit 13 extracts the tag information related to the tag information association request from the measurement information related to the measurement information storage request. At least some of the trained models MD may be updated by supervised learning in which the correct answer is to identify them. This makes it possible to determine appropriate tag information according to the user's intentions.

Note that the present invention is not limited only to the embodiments described above. Those skilled in the art may appropriately add, delete, or change the design of each of the above-mentioned embodiments or their application examples, or may suitably combine the features of each embodiment, without departing from the gist of the present invention. As long as it is provided, it is included within the scope of the present invention.

Additional notes related to this embodiment will be described below.

[Additional note 1]
A program that causes a server to execute processing for providing access to measurement information stored in a database in response to a request from a terminal device,
The measurement information includes numerical data regarding the measurement results, object information regarding the measurement target, condition information regarding the measurement conditions, instrument information regarding the measuring instrument used for the measurement, implementer information regarding the person performing the measurement, and information regarding the analysis of the measurement results. includes at least one piece of analysis information;
The process that the program causes the server to execute is:
When a search request specifying tag information for search is received from the terminal device, searching the database for the measurement information associated with the tag information specified by the search request;
From among the plurality of tag information related to at least one of the characteristics related to the measurement object, the characteristics related to the measurement conditions, the characteristics related to the measuring instrument used for the measurement, the characteristics related to the person performing the measurement, and the characteristics related to the analysis of the measurement results, Determining one or more of the tag information that applies to a feature expressed by at least one of the numerical data, the target information, the condition information, the measuring instrument information, the implementer information, and the analysis information included in the measurement information. the step of
a step of associating one or more of the tag information determined for one of the measurement information and the one measurement information in the database;
program.
[Additional note 2]
The numerical data includes sound/vibration data regarding sound or vibration,
The step of determining the tag information is based on the sound/vibration data included in the measurement information, and selects the sound or vibration represented by the sound/vibration data from among the plurality of tag information related to the sound/vibration characteristics. determining one or more of the tag information that applies to a feature;
The program described in Appendix 1.
[Additional note 3]
The server is generated to identify one or more of the tag information that applies to the sound or vibration characteristics represented by the given sound/vibration data from among the plurality of tag information regarding the sound or vibration characteristics. a storage unit that stores one or more trained models;
The step of determining the tag information includes applying the sound/vibration data included in the one measurement information to one or more of the learned models, thereby determining one or more of the tag information for the one measurement information. determine,
The program described in Appendix 2.
[Additional note 4]
The one or more learned models stored in the storage unit are:
The trained model is generated to identify the tag information applicable to the source of sound or vibration represented by the given sound/vibration data from among the plurality of tag information regarding the source of sound or vibration;
The learned information generated to identify the tag information applicable to the physical information of sound or vibration represented by the given sound/vibration data from among the plurality of tag information related to the physical information of sound or vibration. model, and
The tag information is generated to identify the tag information that applies to the word or phrase associated with the sound or vibration expressed by the given sound/vibration data from among the plurality of tag information related to the word or phrase associated with the sound or vibration. comprising at least one of the trained models;
The program described in Appendix 3.
[Additional note 5]
the words associated with sounds include onomatopoeias;
The program described in Appendix 4.
[Additional note 6]
The process that the program causes the server to execute is:
generating one or more sound/vibration feature information regarding one or more features of sound or vibration represented by the sound/vibration data included in the measurement information;
a step of associating one or more of the sound/vibration characteristic information generated for the sound/vibration data included in the measurement information with the measurement information and storing the same in the database;
The step of searching the measurement information in the database includes, when receiving a sound/vibration data search request specifying search conditions regarding the sound/vibration feature information from the terminal device, searching the sound/vibration feature information that meets the search conditions. searching in the database for one or more of the measurement information associated with
The program described in Appendix 2.
[Additional note 7]
The sound/vibration feature information includes one or more evaluation value information corresponding to one or more types of sound or vibration,
The evaluation value information includes information regarding a plurality of evaluation values corresponding to a plurality of time segments in the sound/vibration data,
One of the evaluation values corresponding to one of the types and one of the time segments is a numerical value representing the degree to which the sound or vibration in the one time segment conforms to the one type;
The search conditions include conditions regarding the evaluation value of one or more of the types,
The program described in Appendix 6.
[Additional note 8]
The step of searching the measurement information in the database includes identifying one or more of the time segments that meet the search condition regarding the evaluation value in the sound/vibration data included in the measurement information.
The program described in Appendix 7.
[Additional note 9]
The step of searching for the measurement information in the database includes, when receiving the sound/vibration data search request requesting to search for the sound/vibration data similar to the specific sound/vibration data, searching for the specific sound/vibration data; one or more of the sound/vibration feature information is generated for the database, and the measurement information associated with one or more of the sound/vibration feature information similar to the generated one or more of the sound/vibration feature information is stored in the database. including searching in
The program described in any one of Supplementary Notes 6 to 8.
[Additional note 10]
The server has a storage unit that stores one or more trained models,
The learned model includes a plurality of features related to at least one of a feature related to a measurement object, a feature related to measurement conditions, a feature related to a measuring instrument used for measurement, a feature related to a person performing the measurement, and a feature related to analysis of measurement results. Among the tag information, a feature that applies to at least one of the numerical data, the target information, the condition information, the measuring instrument information, the implementer information, and the analysis information included in the given measurement information generated to identify one or more of the tag information,
The step of determining the tag information includes converting at least one of the target information, the condition information, the measuring instrument information, the implementer information, and the analysis information included in one measurement information to one or more of the analysis information. Determining one or more of the tag information for the one measurement information by applying it to the trained model,
The program described in Appendix 1.
[Additional note 11]
The step of determining the tag information includes, when a measurement information storage request requesting storage of the measurement information in the database is received from the terminal device, one or more pieces of the measurement information related to the received measurement information storage request. determining the tag information of
The program described in any one of Supplementary Notes 1 to 10.
[Additional note 12]
The process that the program causes the server to execute is, when one or more of the tag information is determined for the measurement information related to the measurement information storage request, one or more of the tag information including the determined one or more of the tag information. Displaying on the terminal device a screen prompting the user to select the tag information to be associated with the measurement information related to the measurement information storage request from tag information candidates;
The step of associating the tag information with the measurement information includes receiving from the terminal device a tag information association request requesting association between the tag information selected on a screen prompting selection of the tag information and the measurement information; associating the tag information related to the received tag information association request and the measurement information related to the measurement information storage request in the database;
The program described in Appendix 11.
[Additional note 13]
The server has a storage unit that stores one or more trained models,
The learned model includes a plurality of features related to at least one of a feature related to a measurement object, a feature related to measurement conditions, a feature related to a measuring instrument used for measurement, a feature related to a person performing the measurement, and a feature related to analysis of measurement results. Among the tag information, a feature that applies to at least one of the numerical data, the target information, the condition information, the measuring instrument information, the implementer information, and the analysis information included in the given measurement information generated to identify one or more of the tag information,
The step of determining the tag information includes converting at least one of the target information, the condition information, the measuring instrument information, the implementer information, and the analysis information included in one measurement information to one or more of the analysis information. Determining one or more of the tag information for the one measurement information by applying it to the learned model,
The process that the program causes the server to execute includes, when the tag information related to the tag information association request is associated with the measurement information related to the measurement information storage request, the tag information is extracted from the measurement information related to the measurement information storage request. updating at least some of the learned models by supervised learning in which the correct answer is to identify the tag information related to the information association request;
The program described in Appendix 12.
[Additional note 14]
A program that causes a terminal device capable of communicating with a server that provides access to measurement information related to measurement results stored in a database to execute processing,
A plurality of pieces of measurement information are associated with each other in the database,
The process that the program causes the terminal device to execute is:
displaying a screen including a plurality of items corresponding to the plurality of measurement information;
When an instruction to select one of the plurality of items displayed on the screen is input, one measurement information corresponding to the selected one item and other measurement information associated with the one measurement information are displayed. acquiring the measurement information from the server, and updating the screen to include the contents of each of the acquired measurement information,
program.
[Additional note 15]
The measurement information includes at least one of numerical data regarding measurement results and analysis information regarding analysis of measurement results,
In the step of updating the screen, in the case where one of the measurement information acquired from the server includes the numerical data, if the other measurement information associated with the one measurement information includes the analysis information, updating the screen to include a result of analysis of the numerical data of the one measurement information based on the analysis information of the other measurement information;
The program described in Appendix 14.
[Additional note 16]
The numerical data is sound/vibration data regarding sound or vibration,
In the step of updating the screen, when one of the measurement information acquired from the server includes the sound/vibration data, the other measurement information associated with the one measurement information includes sound or vibration spectrum analysis. If the screen includes the analysis information for the other measurement information, the screen is updated to include the results of spectrum analysis at each time for the sound/vibration data of the one measurement information, based on the analysis information of the other measurement information. including
The program described in Appendix 14.
[Additional note 17]
The measurement information includes at least one of object information regarding the measurement target, condition information regarding the measurement conditions, instrument information regarding the measuring instrument used for the measurement, implementer information regarding the person performing the measurement, and analysis information regarding the analysis of the measurement results. It contains
In the step of updating the screen, when one of the measurement information acquired from the server includes the analysis information, the other measurement information associated with the one measurement information includes the target information, the condition information, If at least one of the measuring instrument information and the implementer information is included, based on the other measurement information, at least the measurement target, the measurement conditions, the measuring instrument used for the measurement, and the implementer of the measurement are determined. updating the screen to include one;
The program described in Appendix 14.
[Additional note 18]
In the step of updating the screen, the one measurement information acquired from the server and the other measurement information associated with the one measurement information are combined with numerical data regarding the measurement results and information regarding the change history of the numerical data. , updating the screen to include the change history regarding the numerical data of the one measurement information and the numerical data of the other measurement information.
The program described in Appendix 14.
[Additional note 19]
A server that provides access to measurement information stored in a database in response to a request from a terminal device,
a processing section;
a storage unit that stores instructions of a program executable in the processing unit;
The measurement information includes numerical data regarding the measurement results, object information regarding the measurement target, condition information regarding the measurement conditions, instrument information regarding the measuring instrument used for the measurement, implementer information regarding the person performing the measurement, and information regarding the analysis of the measurement results. includes at least one piece of analysis information;
The processing that the processing unit executes according to the instructions of the program includes:
When a search request specifying tag information for search is received from the terminal device, searching the database for the measurement information associated with the tag information specified by the search request;
From among the plurality of tag information related to at least one of the characteristics related to the measurement object, the characteristics related to the measurement conditions, the characteristics related to the measuring instrument used for the measurement, the characteristics related to the person performing the measurement, and the characteristics related to the analysis of the measurement results, Determining one or more of the tag information that applies to a feature expressed by at least one of the numerical data, the target information, the condition information, the measuring instrument information, the implementer information, and the analysis information included in the measurement information. the step of
a step of associating one or more of the tag information determined for one of the measurement information and the one measurement information in the database;
server.
[Additional note 20]
A terminal device capable of communicating with a server that provides access to measurement information regarding measurement results stored in a database,
a processing section;
a storage unit that stores instructions of a program that can be executed by the processing unit;
A plurality of pieces of measurement information are associated with each other in the database,
The processing that the processing unit executes according to the instructions of the program includes:
displaying a screen including a plurality of items corresponding to the plurality of measurement information;
When an instruction to select one of the plurality of items displayed on the screen is input, one measurement information corresponding to the selected one item and other measurement information associated with the one measurement information are displayed. acquiring the measurement information from the server, and updating the screen to include the contents of each of the acquired measurement information,
Terminal device.
[Additional note 21]
An access provision method in which a server provides access to measurement information stored in a database in response to a request from a terminal device, the method comprising:
The measurement information includes numerical data regarding the measurement results, object information regarding the measurement target, condition information regarding the measurement conditions, instrument information regarding the measuring instrument used for the measurement, implementer information regarding the person performing the measurement, and information regarding the analysis of the measurement results. includes at least one piece of analysis information;
When a search request specifying tag information for search is received from the terminal device, searching the database for the measurement information associated with the tag information specified by the search request;
From among the plurality of tag information related to at least one of the characteristics related to the measurement object, the characteristics related to the measurement conditions, the characteristics related to the measuring instrument used for the measurement, the characteristics related to the person performing the measurement, and the characteristics related to the analysis of the measurement results, Determining one or more of the tag information that applies to a feature expressed by at least one of the numerical data, the target information, the condition information, the measuring instrument information, the implementer information, and the analysis information included in the measurement information. the step of
An access providing method comprising: associating one or more of the tag information determined for one piece of measurement information with the piece of measurement information in the database.
[Additional note 22]
An information display method in a terminal device capable of communicating with a server that provides access to measurement information regarding measurement results stored in a database, the method comprising:
A plurality of pieces of measurement information are associated with each other in the database,
displaying a screen including a plurality of items corresponding to the plurality of measurement information;
When an instruction to select one of the plurality of items displayed on the screen is input, one measurement information corresponding to the selected one item and other measurement information associated with the one measurement information are displayed. an information display method comprising the steps of: acquiring the measurement information from the server; and updating the screen to include contents of each of the acquired measurement information.

DESCRIPTION OF SYMBOLS 1... Server, 11... Communication unit, 12... Storage unit, 13... Processing unit, 2... Database unit, 21... User database, 22... Measurement information database, 23... Tag information database, 3... Terminal device, 31... Communication Part, 32...Input unit, 33...Display unit, 34...Storage unit, 35...Processing unit, 4...Measuring instrument, 9...Communication network, PG1, PG2...Program, MD...Learned model

Claims (15)

A program that causes a server to execute processing for providing access to measurement information stored in a database in response to a request from a terminal device,
The measurement information includes numerical data regarding the measurement results, object information regarding the measurement target, condition information regarding the measurement conditions, instrument information regarding the measuring instrument used for the measurement, implementer information regarding the person performing the measurement, and information regarding the analysis of the measurement results. includes at least one piece of analysis information;
The process that the program causes the server to execute is:
When a search request specifying tag information for search is received from the terminal device, searching the database for the measurement information associated with the tag information specified by the search request;
From among the plurality of tag information related to at least one of the characteristics related to the measurement object, the characteristics related to the measurement conditions, the characteristics related to the measuring instrument used for the measurement, the characteristics related to the person performing the measurement, and the characteristics related to the analysis of the measurement results, Determining one or more of the tag information that applies to a feature expressed by at least one of the numerical data, the target information, the condition information, the measuring instrument information, the implementer information, and the analysis information included in the measurement information. the step of
a step of associating one or more of the tag information determined for one of the measurement information and the one measurement information in the database;
program. The numerical data includes sound/vibration data regarding sound or vibration,
The step of determining the tag information is based on the sound/vibration data included in the measurement information, and selects the sound or vibration represented by the sound/vibration data from among the plurality of tag information related to the sound/vibration characteristics. determining one or more of the tag information that applies to a feature;
The program according to claim 1. The server is generated to identify one or more of the tag information that applies to the sound or vibration characteristics represented by the given sound/vibration data from among the plurality of tag information regarding the sound or vibration characteristics. a storage unit that stores one or more trained models;
The step of determining the tag information includes applying the sound/vibration data included in the one measurement information to one or more of the learned models, thereby determining one or more of the tag information for the one measurement information. determine,
The program according to claim 2. The one or more learned models stored in the storage unit are:
The trained model is generated to identify the tag information applicable to the source of sound or vibration represented by the given sound/vibration data from among the plurality of tag information regarding the source of sound or vibration;
The learned information generated to identify the tag information applicable to the physical information of sound or vibration represented by the given sound/vibration data from among the plurality of tag information related to the physical information of sound or vibration. model, and
The tag information is generated to identify the tag information that applies to the word or phrase associated with the sound or vibration expressed by the given sound/vibration data from among the plurality of tag information related to the word or phrase associated with the sound or vibration. comprising at least one of the trained models;
The program according to claim 3. the words associated with sounds include onomatopoeias;
The program according to claim 4. The process that the program causes the server to execute is:
generating one or more sound/vibration feature information regarding one or more features of sound or vibration represented by the sound/vibration data included in the measurement information;
a step of associating one or more of the sound/vibration characteristic information generated for the sound/vibration data included in the measurement information with the measurement information and storing the same in the database;
The step of searching the measurement information in the database includes, when receiving a sound/vibration data search request specifying search conditions regarding the sound/vibration feature information from the terminal device, searching the sound/vibration feature information that meets the search conditions. searching in the database for one or more of the measurement information associated with
The program according to claim 2. The sound/vibration feature information includes one or more evaluation value information corresponding to one or more types of sound or vibration,
The evaluation value information includes information regarding a plurality of evaluation values corresponding to a plurality of time segments in the sound/vibration data,
One of the evaluation values corresponding to one of the types and one of the time segments is a numerical value representing the degree to which the sound or vibration in the one time segment conforms to the one type;
The search conditions include conditions regarding the evaluation value of one or more of the types,
The program according to claim 6. The step of searching the measurement information in the database includes identifying one or more of the time segments that meet the search condition regarding the evaluation value in the sound/vibration data included in the measurement information.
The program according to claim 7. The step of searching for the measurement information in the database includes, when receiving the sound/vibration data search request requesting to search for the sound/vibration data similar to the specific sound/vibration data, searching for the specific sound/vibration data; one or more of the sound/vibration feature information is generated for the database, and the measurement information associated with one or more of the sound/vibration feature information similar to the generated one or more of the sound/vibration feature information is stored in the database. including searching in
The program according to any one of claims 6 to 8. The server has a storage unit that stores one or more trained models,
The learned model includes a plurality of features related to at least one of a feature related to a measurement object, a feature related to measurement conditions, a feature related to a measuring instrument used for measurement, a feature related to a person performing the measurement, and a feature related to analysis of measurement results. Among the tag information, a feature that applies to at least one of the numerical data, the target information, the condition information, the measuring instrument information, the implementer information, and the analysis information included in the given measurement information generated to identify one or more of the tag information,
The step of determining the tag information includes converting at least one of the target information, the condition information, the measuring instrument information, the implementer information, and the analysis information included in one measurement information to one or more of the analysis information. Determining one or more of the tag information for the one measurement information by applying it to the trained model,
The program according to claim 1. The step of determining the tag information includes, when a measurement information storage request requesting storage of the measurement information in the database is received from the terminal device, one or more pieces of the measurement information related to the received measurement information storage request. determining the tag information of
The program according to any one of claims 1 to 10. The process that the program causes the server to execute is, when one or more of the tag information is determined for the measurement information related to the measurement information storage request, one or more of the tag information including the determined one or more of the tag information. Displaying on the terminal device a screen prompting the user to select the tag information to be associated with the measurement information related to the measurement information storage request from tag information candidates;
The step of associating the tag information with the measurement information includes receiving from the terminal device a tag information association request requesting association between the tag information selected on a screen prompting selection of the tag information and the measurement information; associating the tag information related to the received tag information association request and the measurement information related to the measurement information storage request in the database;
The program according to claim 11. The server has a storage unit that stores one or more trained models,
The learned model includes a plurality of features related to at least one of a feature related to a measurement object, a feature related to measurement conditions, a feature related to a measuring instrument used for measurement, a feature related to a person performing the measurement, and a feature related to analysis of measurement results. Among the tag information, a feature that applies to at least one of the numerical data, the target information, the condition information, the measuring instrument information, the implementer information, and the analysis information included in the given measurement information generated to identify one or more of the tag information,
The step of determining the tag information includes converting at least one of the target information, the condition information, the measuring instrument information, the implementer information, and the analysis information included in one measurement information to one or more of the analysis information. Determining one or more of the tag information for the one measurement information by applying it to the learned model,
The process that the program causes the server to execute includes, when the tag information related to the tag information association request is associated with the measurement information related to the measurement information storage request, the tag information is extracted from the measurement information related to the measurement information storage request. updating at least some of the learned models by supervised learning in which the correct answer is to identify the tag information related to the information association request;
The program according to claim 12. A server that provides access to measurement information stored in a database in response to a request from a terminal device,
a processing section;
a storage unit that stores instructions of a program executable in the processing unit;
The measurement information includes numerical data regarding the measurement results, object information regarding the measurement target, condition information regarding the measurement conditions, instrument information regarding the measuring instrument used for the measurement, implementer information regarding the person performing the measurement, and information regarding the analysis of the measurement results. includes at least one piece of analysis information;
The processing that the processing unit executes according to the instructions of the program includes:
When a search request specifying tag information for search is received from the terminal device, searching the database for the measurement information associated with the tag information specified by the search request;
From among the plurality of tag information related to at least one of the characteristics related to the measurement object, the characteristics related to the measurement conditions, the characteristics related to the measuring instrument used for the measurement, the characteristics related to the person performing the measurement, and the characteristics related to the analysis of the measurement results, Determining one or more of the tag information that applies to a feature expressed by at least one of the numerical data, the target information, the condition information, the measuring instrument information, the implementer information, and the analysis information included in the measurement information. the step of
a step of associating one or more of the tag information determined for one of the measurement information and the one measurement information in the database;
server. An access provision method in which a server provides access to measurement information stored in a database in response to a request from a terminal device, the method comprising:
The measurement information includes numerical data regarding the measurement results, object information regarding the measurement target, condition information regarding the measurement conditions, instrument information regarding the measuring instrument used for the measurement, implementer information regarding the person performing the measurement, and information regarding the analysis of the measurement results. includes at least one piece of analysis information;
When a search request specifying tag information for search is received from the terminal device, searching the database for the measurement information associated with the tag information specified by the search request;
From among the plurality of tag information related to at least one of the characteristics related to the measurement object, the characteristics related to the measurement conditions, the characteristics related to the measuring instrument used for the measurement, the characteristics related to the person performing the measurement, and the characteristics related to the analysis of the measurement results, Determining one or more of the tag information that applies to a feature expressed by at least one of the numerical data, the target information, the condition information, the measuring instrument information, the implementer information, and the analysis information included in the measurement information. the step of
An access providing method comprising: associating one or more of the tag information determined for one piece of measurement information with the piece of measurement information in the database.