WO2019207750A1

WO2019207750A1 - Specialist introduction system, specialist introduction method, and program

Info

Publication number: WO2019207750A1
Application number: PCT/JP2018/017130
Authority: WO
Inventors: 俊二菅谷
Original assignee: 株式会社オプティム
Priority date: 2018-04-27
Filing date: 2018-04-27
Publication date: 2019-10-31

Abstract

[Problem] To provide a specialist introduction system, a specialist introduction method, and a program that enable introduction of the best specialist with the highest level of skill for a specialized task, and who matches the content of a request by a user. [Solution] This specialist introduction system comprises: a specialist database 30 having recorded therein specialist information pertaining to a task for a specialist; and task enactment data that is outputted by the specialist performing the task. The specialist introduction system further comprises: an evaluation module 111 that evaluates the specialist on the basis of the task enactment data; and a specialist introduction module 112 that introduces a specialist in association with the specialist information and an evaluation by the evaluation module 111.

Description

Expert referral system, expert referral method, and program

The present invention relates to an expert introduction system, an expert introduction method, and a program for introducing an expert by associating expert information related to the work of the expert and evaluation of the work execution data performed by the expert.

A system has been proposed for searching for experts who match customer requests from estimates provided by experts in the past (Patent Document 1).

JP 2013-246752

However, in the method of Patent Document 1, it is possible to search for an expert who matches the request contents of the customer, and to introduce the expert to the customer by causing the expert to present a new estimate to the customer. However, it is impossible to respond to requests such as requesting highly skilled professionals.

The present invention has been made in view of the above-described problems, and provides an expert introduction system, an expert introduction method, and a program capable of introducing an optimum expert having a high ability for specialized work. The purpose is to do.

The present invention provides the following solutions.

The invention according to the first feature is
An expert referral system that introduces professionals for work,
An expert database in which expert information relating to the work of the expert and work execution data output as the expert performs work;
An evaluation means for evaluating the expert based on the business execution data;
An expert introduction means for introducing the expert in association with the expert information and the evaluation;
Provide an expert referral system characterized by comprising

According to the invention relating to the first feature, in the expert introduction system for introducing a specialist for a business, expert information relating to the business of the specialist and business execution data output by the specialist performing the business And an expert database for introducing the expert by associating the expert information with the evaluation, the evaluation means for evaluating the expert based on the business execution data, and the expert information. House introduction means.

The invention according to the first feature is a category of the expert introduction system, but the expert introduction method and program have the same actions and effects.

The invention according to the second feature is an expert introduction system which is the invention according to the first feature,
The business execution data is output data when the business is processed by a computer, and provides an expert introduction system.

According to the invention relating to the second feature, in the expert introduction system that is the invention relating to the first feature, the work execution data is output data when the work is processed by a computer.

The invention according to the third feature is
An expert referral system that introduces pilots to drone operations,
An expert database storing expert information related to pilot operation by the pilot and work execution data output by the pilot operating the drone;
Evaluation means for evaluating the pilot based on the business execution data;
An expert introduction means for introducing the pilot in association with the expert information and the evaluation;
Provide an expert referral system characterized by comprising

According to the third aspect of the invention, in the expert introduction system for introducing a pilot for drone maneuvering, the expert information regarding the drone maneuvering by the pilot and the pilot maneuvering the drone are output. Introducing the pilot by associating the expert database storing the task execution data, the evaluation means for evaluating the pilot based on the task execution data, the expert information, and the evaluation And an expert introduction means.

The invention according to the fourth feature is an expert introduction system which is the invention according to the third feature,
The work execution data is flight data output by the pilot operating the drone, including images taken during the flight, the degree of deviation from the planned flight route, and the number of times of entry into the prohibited area An expert introduction system characterized by including any of the above.

According to the fourth aspect of the invention, in the expert introduction system according to the third aspect of the invention, the work execution data is flight data output by the pilot operating the drone. , Video taken during the flight, the degree of deviation from the planned flight route, and the number of times of entry into the prohibited area.

The invention according to the fifth feature is
To an expert introduction system that introduces professionals to work,
Provided with an expert database in which expert information relating to the work of the expert and work execution data output as the expert performs work,
Evaluating the expert based on the task performance data;
Associating the expert information with the evaluation and introducing the expert;
Provide an expert introduction method with

The invention according to the sixth feature is
To an expert introduction system that introduces professionals to work,
Provided with an expert database in which expert information relating to the work of the expert and work execution data output by the work of the expert are stored,
Evaluating the expert based on the work performance data;
Associating the expert information with the evaluation and introducing the expert;
Provide a program to execute.

According to the present invention, it is possible to provide an expert introduction system, an expert introduction method, and a program capable of introducing an optimum expert with high ability for specialized work.

FIG. 1 is a schematic diagram of a preferred embodiment of the present invention. FIG. 2 is a diagram illustrating the functional blocks of the computer 100 and the terminal 200 and the relationship between the functions. FIG. 3 is a flowchart of the expert introduction process of the present invention. FIG. 4 is a flowchart of an expert introduction process when an expert is evaluated in advance. FIG. 5 is a flowchart illustrating an example of the expert evaluation process. FIG. 6 is an example of a condition setting screen. FIG. 7 is an example of an expert search result list screen. FIG. 8 is an example of an expert detail display screen. FIG. 9 is an example of expert information and business execution data stored in the expert database 30.

Hereinafter, the best mode for carrying out the present invention will be described with reference to the drawings. This is merely an example, and the technical scope of the present invention is not limited to this.

[Outline of expert introduction system]
FIG. 1 is a schematic diagram of a preferred embodiment of the present invention. The outline of the present invention will be described with reference to FIG. The expert introduction system includes a computer 100, a terminal 200, and a communication network 300.

In FIG. 1, the computer 100 and the terminal 200 are illustrated as separate devices, but the terminal 200 may be the same device as the computer 100.

The computer 100 includes a control unit 110, a communication unit 120, a storage unit 130, and an input / output unit 140, as shown in FIG. The storage unit 130 includes an expert database 30. The control unit 110 implements the evaluation module 111 in cooperation with the storage unit 130. In addition, the control unit 110 implements the expert introduction module 112 in cooperation with the communication unit 120, the storage unit 130, and the input / output unit 140. As shown in FIG. 2, the terminal 200 includes a control unit 210, a communication unit 220, a storage unit 230, and an input / output unit 240. The communication network 300 may be a public communication network such as the Internet or a dedicated communication network, and enables communication between the computer 100 and the terminal 200.

The computer 100 is a computing device capable of data communication with the terminal 200. Here, a desktop computer is illustrated as an example, but in addition to a mobile phone, a portable information terminal, a tablet terminal, a personal computer, electrical appliances such as a netbook terminal, a slate terminal, an electronic book terminal, and a portable music player Or a wearable terminal such as a smart glass or a head-mounted display.

The terminal 200 is a terminal device possessed by a user who uses the expert introduction system. The terminal 200 is, for example, a mobile phone, a portable information terminal, a tablet terminal, a personal computer, an electronic product such as a netbook terminal, a slate terminal, an electronic book terminal, a portable music player, a smart glass, a head mounted display, or the like. Wearable terminals and other items. The smartphone illustrated as the terminal 200 is just one example.

In the expert introduction system of FIG. 1, first, the terminal 200 displays a setting screen for inputting conditions for searching for experts on the input / output unit 240, and accepts input of expert conditions from the user (step S01). ). When the input of the condition by the user is completed, the control unit 210 of the terminal 200 transmits the condition to the computer 100 via the communication unit 220.

FIG. 6 is an example of a condition setting screen. Here, an example in which a condition setting screen is displayed on the input / output unit 240 of the terminal 200 is shown. The setting screen for inputting conditions is a screen that displays options for each item or that is directly input by the user. The user inputs conditions for each item according to the display on the screen. In the example of FIG. 6, when a drone pilot is selected as an expert, (1) to (5) are displayed as conditions for searching for a drone pilot. (1) Choices of “farmland”, “building”, “populated place” as the place to fly (2) Choice of flight area and date and time (3) Choice of “multicopter” and “glider” as the aircraft type (4) Resolution Options of “multispectral imaging” and “4K imaging” as designation (5) options of “imaging”, “surveying”, and “disinfection” as business purposes are displayed. These items may be configured such that all items are displayed on the screen at once, or may be displayed in order for each item. As for the flight area (2), a map that can be enlarged and reduced is displayed on the input / output unit 240 and may be selected on the map, or an input unit for directly inputting an address is displayed. You may do it. Further, the date and time may be displayed on the input / output unit 240 by selecting a calendar, or an input unit for the user to directly input the date and time may be displayed. The user selects and / or inputs a condition for each item using the input / output unit 240 according to the displayed setting screen. In the example of FIG. 6, (1) “Building” is selected as the flight location, (2) “Kanagawa Prefecture” is selected as the flight area, “February 20, 2018” is selected as the date and time, and (3) Aircraft type In this example, “multicopter” is selected, (4) “4K shooting” is selected as the resolution designation, and (5) “shooting” is selected as the flight purpose. Here, when the search button 601 is selected, the input of the condition by the user is completed, and the control unit 210 of the terminal 200 transmits the condition to the computer 100 via the communication unit 220.

Referring back to FIG. 1, the control unit 110 of the computer 100 receives conditions for searching for an expert from the terminal 200 via the communication unit 120 (step S02).

Next, the control unit 110 of the computer 100 searches the expert information in the expert database 30 based on the received conditions, and extracts experts who meet the conditions (step S03). It is assumed that the expert database 30 stores expert information relating to the work of the expert and work execution data relating to the past work of the expert.

FIG. 9 is an example of expert information and business execution data stored in the expert database 30. The expert database 30 stores the name of each expert, the sales area, etc. for each industry as expert information. For example, in the case of a drone pilot, data such as name, flightable area, applicable flight purpose, operable aircraft, camera resolution, etc. are also included. As execution data, work execution data relating to past work of experts is stored. For example, in the case of a drone pilot, flight data (flight date / time, video data, altitude information, route information, flight time, degree of deviation from planned route, number of times of entry into prohibited areas, user evaluation, etc. as past work execution data , Cost, etc.). Examples of business execution data include driving data, driving time, user evaluation and costs for drivers and pilots, response data, delivery times, user evaluations and costs, and programmers for lawyers and tax accountants. For example, the created program data, delivery date, user evaluation, cost, etc.

Referring back to FIG. 1, the evaluation module 111 of the computer 100 evaluates each expert extracted in step S03 with reference to the business execution data in the expert database 30 (step S04). The evaluation results may be expressed numerically or may be ranked A to C. For example, in the case of a drone pilot, past work execution data such as flight date / time, video data, altitude information, route information, flight time, degree of deviation from planned route, number of times of entry into prohibited areas, user evaluation, cost, etc. Based on the evaluation.

Next, the expert introduction module 112 of the computer 100 outputs the information of the expert who meets the conditions together with the evaluation result, and transmits it to the terminal 200 (step S05). Here, the flow for outputting the evaluation result of the expert is also described in the input / output unit 140 of the computer 100. However, when the user inputs conditions from the terminal 200, the input / output unit of the computer 100 The output to 140 may be omitted.

Finally, the control unit 210 of the terminal 200 introduces the information of the expert who meets the received condition to the user by outputting the information together with the evaluation result to the input / output unit 240 (step S06).

FIG. 7 is an example of the expert search result list screen. Here, an example in which a search result list screen is displayed on the input / output unit 240 of the terminal 200 is shown. In FIG. 7, as a list of drone pilots that match the conditions, evaluation, pilot name, and aircraft type are displayed as a list, but the items to be displayed are not limited to this, and can be changed as appropriate. The estimated amount may be displayed together. In addition, in the example illustrated in FIG. 7, an example in which a detail button 701 and a request button 702 are displayed in addition to the display of evaluation or the like is illustrated. By selecting the detail button 701, detailed information of the drone pilot corresponding to the column can be displayed, and by selecting the request button 702, the drone pilot corresponding to the column can be requested to perform a task. . The request button 702 may be changeable to an estimate request button or the like. If it is desired to search again after changing the conditions, it is possible to select the condition setting button 703 and return to FIG. 6 and step S01 again to perform the search. Thus, by displaying a list of experts that meet the conditions with evaluation, it is possible for the user to easily select and request an expert with a high evaluation, that is, a high ability.

FIG. 8 is an example of the expert details display screen. Here, an example is shown in which an expert detail display screen is displayed on the input / output unit 240 of the terminal 200. When the detail button 701 in the column of KENTA having the highest evaluation is selected on the search result list screen of FIG. 7, the process transits to FIG. FIG. 8 shows an example of displaying comprehensive evaluation, flight technology evaluation, video evaluation, cumulative flight time, cumulative number of flights, and user satisfaction as detailed information of KENTA, a drone pilot. By selecting the request button 801, it is possible to request a specialist who displays detailed information. Also, by selecting a return to list button 802, it is possible to return to the expert search result list screen of FIG. In this way, by displaying detailed information of experts who meet the conditions, it becomes possible for the user to select and make a request not only for operation evaluation, but also for experts who have a high evaluation of his / her ability to emphasize. .

As described above, according to the present invention, an evaluation based on the expert information and the expert's work execution data is performed and output to the user. It is possible to provide an expert introduction system, an expert introduction method, and a program that can be introduced.

[Description of each function]
FIG. 2 is a diagram illustrating the functional blocks of the computer 100 and the terminal 200 and the relationship between the functions. The computer 100 includes a control unit 110, a communication unit 120, a storage unit 130, and an input / output unit 140. In addition, the storage unit 130 includes an expert database 30. The control unit 110 implements the evaluation module 111 in cooperation with the storage unit 130. In addition, the control unit 110 implements the expert introduction module 112 in cooperation with the communication unit 120, the storage unit 130, and the input / output unit 140. The terminal 200 includes a control unit 210, a communication unit 220, a storage unit 230, and an input / output unit 240. The communication network 300 may be a public communication network such as the Internet or a dedicated communication network, and enables communication between the computer 100 and the terminal 200.

The computer 100 includes a CPU (Central Processing Unit), a RAM (Random Access Memory), a ROM (Read Only Memory), and the like as the control unit 110.

As the communication unit 120, a device for enabling communication with other devices, for example, a WiFi (Wireless Fidelity) compatible device compliant with IEEE 802.11 or an IMT-2000 standard such as a third generation or fourth generation mobile communication system. Compliant wireless device etc. It may be a wired LAN connection.

The storage unit 130 includes a data storage unit using a hard disk or a semiconductor memory, and stores necessary data and the like. The storage unit 130 includes an expert database 30.

Suppose that the input / output unit 140 has functions necessary for operating the expert introduction system. As an example for realizing the input, a liquid crystal display that realizes a touch panel function, a keyboard, a mouse, a pen tablet, a hardware button on the apparatus, a microphone for performing voice recognition, and the like can be provided. In addition, as an example for realizing the output, forms such as display on various displays and sound output can be considered. The function of the present invention is not particularly limited by the input / output method.

The terminal 200 includes a CPU, RAM, ROM and the like as the control unit 210.

A device for enabling communication with other devices as the communication unit 220, for example, a WiFi compatible device compliant with IEEE802.11 or a wireless device compliant with the IMT-2000 standard such as a third generation or fourth generation mobile communication system Etc. It may be a wired LAN connection.

The storage unit 230 includes a data storage unit such as a hard disk or a semiconductor memory, and stores necessary data and the like.

Suppose that the input / output unit 240 has functions necessary for the user to operate the expert introduction system. As an example for realizing the input, a liquid crystal display that realizes a touch panel function, a keyboard, a mouse, a pen tablet, a hardware button on the apparatus, a microphone for performing voice recognition, and the like can be provided. In addition, as an example for realizing the output, forms such as display on various displays and sound output can be considered. The function of the present invention is not particularly limited by the input / output method.

[Expert introduction process]
FIG. 3 is a flowchart of the expert introduction process of the present invention. Processing executed by each module described above will be described in accordance with this processing. In FIG. 3, the computer 100 and the terminal 200 are illustrated as separate devices, but the terminal 200 may be the same device as the computer 100.

In the expert introduction system of FIG. 3, the terminal 200 first causes the user to log in to the expert introduction system via the input / output unit 240 (step S301). Here, the target user can be specified by performing the login process. It is assumed that account information and authentication information necessary for login are transmitted to the computer 100 together with the login request. The account information is a name, a nickname, an ID, and the like, and the authentication information is a password, a passphrase, an IC card, a smart card, a fingerprint, an iris, and the like. Here, the login process may be omitted, but in that case, input of user information is required at the time of request to an expert described later.

Next, a setting screen for inputting a condition for searching for an expert is displayed on the input / output unit 240 of the terminal 200, and an input of the condition of the expert is received from the user (step S302). When the input of the condition by the user is completed, the control unit 210 of the terminal 200 transmits the condition to the computer 100 via the communication unit 220.

FIG. 6 is an example of a condition setting screen. Here, an example in which a condition setting screen is displayed on the input / output unit 240 of the terminal 200 is shown. The setting screen for inputting conditions is a screen that displays options for each item or that is directly input by the user. The user inputs conditions for each item according to the display on the screen. In the example of FIG. 6, when a drone pilot is selected as an expert, (1) to (5) are displayed as conditions for searching for a drone pilot. (1) Choice of “Farmland”, “Building”, “Population crowd” as flight location (2) Choice of flight area and date / time (3) Choice of “Multicopter” and “Glider” as aircraft type (4) Resolution Options of “multispectral imaging” and “4K imaging” as designation (5) options of “imaging”, “surveying”, and “disinfection” as business purposes are displayed. These items may be configured such that all items are displayed on the screen at once, or may be displayed in order for each item. As for the flight area (2), a map that can be enlarged and reduced is displayed on the input / output unit 240 and may be selected on the map, or an input unit for directly inputting an address is displayed. You may do it. Further, the date and time may be displayed on the input / output unit 240 by selecting a calendar, or an input unit for the user to directly input the date and time may be displayed. The user selects and / or inputs a condition for each item using the input / output unit 240 according to the displayed setting screen. In the example of FIG. 6, (1) “Building” is selected as the flight location, (2) “Kanagawa Prefecture” is selected as the flight area, “February 20, 2018” is selected as the date and time, and (3) Aircraft type In this example, “multicopter” is selected, (4) “4K shooting” is selected as the resolution designation, and (5) “shooting” is selected as the flight purpose. Here, when the search button 601 is selected, the condition input by the user is terminated, and the control unit 210 of the terminal 200 transmits the condition to the computer 100 via the communication unit 220.

3, the control unit 110 of the computer 100 receives a condition for searching for an expert from the terminal 200 via the communication unit 120 (step S303).

Next, the control unit 110 of the computer 100 searches the expert information in the expert database 30 based on the received conditions, and extracts experts who meet the conditions (step S304). It is assumed that the expert database 30 stores expert information relating to the work of the expert and work execution data relating to the past work of the expert.

Referring back to FIG. 3, the evaluation module 111 of the computer 100 evaluates each expert extracted in step S304 with reference to the business execution data in the expert database 30 (step S305). The evaluation results may be expressed numerically or may be ranked A to C. For example, in the case of a drone pilot, past work execution data such as flight date / time, video data, altitude information, route information, flight time, degree of deviation from planned route, number of times of entry into prohibited areas, user evaluation, cost, etc. Based on the evaluation.

Next, the expert introduction module 112 of the computer 100 outputs the information of the expert who meets the conditions together with the evaluation result, and transmits it to the terminal 200 (step S306). Here, the flow for outputting the evaluation result of the expert is also described in the input / output unit 140 of the computer 100. However, when the user inputs conditions from the terminal 200, the input / output unit of the computer 100 The output to 140 may be omitted.

Next, the control unit 210 of the terminal 200 introduces to the user by outputting to the input / output unit 240 the information of the expert who meets the received condition together with the evaluation result (step S307).

Finally, the terminal 200 causes the user to log out from the expert introduction system via the input / output unit 240 (step S308). Logout may be automatically performed when a certain time has elapsed since the user logged in or when a certain time has elapsed without the user performing an operation.

[Expert introduction process based on prior evaluation]
FIG. 4 is a flowchart of an expert introduction process when an expert is evaluated in advance. Processing executed by each module described above will be described in accordance with this processing. In FIG. 4, the computer 100 and the terminal 200 are illustrated as separate devices, but the terminal 200 may be the same device as the computer 100.

In the expert introduction system of FIG. 4, it is assumed that the expert database 30 stores expert information related to the work of the expert and work execution data related to the past work of the expert. FIG. 9 is an example of expert information and business execution data stored in the expert database 30, and the description of FIG. 9 is as described above. First, the evaluation module 111 of the computer 100 evaluates each expert stored in the expert database 30 with reference to the task execution data (step S401). The evaluation results may be expressed numerically or may be ranked A to C. For example, in the case of a drone pilot, past work execution data such as flight date / time, video data, altitude information, route information, flight time, degree of deviation from planned route, number of times of entry into prohibited areas, user evaluation, cost, etc. Based on the evaluation. In addition, as the timing of evaluation by experts, it is appropriate to newly register in the expert database 30 or update data. For example, when a new expert and the work execution data thereof are registered in the expert database 30, or when the work execution data of a certain expert is added or updated. The evaluation result is stored in the storage unit 130 or the like according to the system configuration.

When using the user expert introduction system, the terminal 200 allows the user to log in to the expert introduction system via the input / output unit 240 (step S402). Here, the target user can be specified by performing the login process. It is assumed that account information and authentication information necessary for login are transmitted to the computer 100 together with the login request. The account information is a name, a nickname, an ID, and the like, and the authentication information is a password, a passphrase, an IC card, a smart card, a fingerprint, an iris, and the like. Here, the login process may be omitted, but in that case, input of user information is required at the time of request to an expert described later.

Next, a setting screen for inputting a condition for searching for an expert is displayed on the input / output unit 240 of the terminal 200, and an input of the condition of the expert is received from the user (step S403). When the input of the condition by the user is completed, the control unit 210 of the terminal 200 transmits the condition to the computer 100 via the communication unit 220.

FIG. 6 is an example of a condition setting screen. The description of FIG. 6 is as described above.

3, the control unit 110 of the computer 100 receives a condition for searching for an expert from the terminal 200 via the communication unit 120 (step S404).

Next, the control unit 110 of the computer 100 searches the expert information in the expert database 30 based on the received conditions, and extracts experts who meet the conditions (step S405).

Next, the expert introduction module 112 of the computer 100 outputs the expert information meeting the conditions extracted in step S405 together with the expert evaluation result performed in step S401, and transmits it to the terminal 200. (Step S406). Here, the flow for outputting the evaluation result of the expert is also described in the input / output unit 140 of the computer 100. However, when the user inputs conditions from the terminal 200, the input / output unit of the computer 100 The output to 140 may be omitted.

Next, the control unit 210 of the terminal 200 introduces the information of the expert who meets the received condition to the user by outputting the information together with the evaluation result to the input / output unit 240 (step S407). As shown in the flow of FIG. 4, it is possible to shorten the time from inputting the condition in step S403 to introducing the expert information to the user in step S407 by evaluating the expert in advance. It becomes possible.

FIG. 7 is an example of the expert search result list screen. The description of FIG. 7 is as described above.

FIG. 8 is an example of the expert details display screen. The description of FIG. 8 is as described above.

Finally, the terminal 200 causes the user to log out from the expert introduction system via the input / output unit 240 (step S408). If a certain time has elapsed since the user logged in, or if a certain time has elapsed without the user performing an operation, the user may be automatically logged out.

As described above, according to the present invention, by performing the evaluation based on the expert information and the business execution data of the expert in advance, the optimum expert who has a high ability for the professional work can be obtained in a short time. It is possible to provide an expert introduction system, an expert introduction method, and a program that can be output and introduced.

[Expert evaluation process]
FIG. 5 is a flowchart illustrating an example of the expert evaluation process. FIG. 5 shows an example of evaluation of a drone pilot. This corresponds to the processing in step S04 in FIG. 1, step S305 in FIG. 3, and step S401 in FIG.

First, the control unit 110 of the computer 100 acquires from the expert database 30 expert information and work execution data of an expert to be evaluated (step S501). If there are multiple work execution data for an expert, obtain all the data. Here, as the evaluation of the drone pilot, it is assumed that the evaluation is performed for each item of flight technology, video, cumulative flight time, cumulative number of flights, user satisfaction, and comprehensive evaluation. Further, it is assumed that the operation date and time, video data, altitude information, route information, flight time, degree of deviation from the planned route, the number of times of entry into the prohibited area, user evaluation, cost, etc. are acquired as the business execution data.

Next, the control unit 110 evaluates the flight technique from the video data, altitude information, route information, the degree of deviation from the planned route, the number of times of entry into the prohibited area, and the like acquired as the task execution data (step S502). ). The evaluation in the expert evaluation process of FIG. 5 may be performed by weighting each item of the business execution data. Further, when there are a plurality of business execution data, it may be performed using a method such as average or variance.

Next, the control unit 110 evaluates the video from the video data, user evaluation, etc. (step S503). For the evaluation of the video, the user's evaluation for the video data may be used, or the overall video data such as a photograph or a moving image may be evaluated using AI or the like.

Next, the control unit 110 calculates the accumulated flight time using the flight time data of each task execution data (step S504).

Also, the control unit 110 calculates the cumulative number of flights using each business operation data (step S505).

Next, the control unit 110 evaluates the user satisfaction based on the user evaluation acquired as the business operation data (step S506). When the user's evaluation is performed for a plurality of items, the evaluation items may be weighted. Moreover, when there is little work execution data or there are few evaluations of a user, since the reliability about this item falls, you may decide not to perform this evaluation.

Finally, the control unit 110 performs comprehensive evaluation based on the evaluation from step S502 to step S506 (step S507). You may perform using weighting with respect to each evaluation result of step S502 to step S506. The comprehensive evaluation result may be expressed by a numerical value or may be ranked A to C.

By performing such an expert evaluation process, it is possible to provide a user with an expert introduction system, an expert introduction method, and a program that can introduce an optimum expert with a high evaluation, that is, a high ability. It becomes possible.

The means and functions described above are realized by a computer (including a CPU, an information processing apparatus, and various terminals) reading and executing a predetermined program. The program may be, for example, in the form (SaaS: Software as a Service) provided from a computer via a network, or a flexible disk, CD (CD-ROM, etc.), DVD (DVD-ROM, DVD). -RAM, etc.) and a computer-readable recording medium such as a compact memory. In this case, the computer reads the program from the recording medium, transfers it to the internal storage device or the external storage device, stores it, and executes it. The program may be recorded in advance in a storage device (recording medium) such as a magnetic disk, an optical disk, or a magneto-optical disk, and provided from the storage device to a computer via a communication line.

As mentioned above, although embodiment of this invention was described, this invention is not limited to these embodiment mentioned above. The effects described in the embodiments of the present invention are only the most preferable effects resulting from the present invention, and the effects of the present invention are limited to those described in the embodiments of the present invention. is not.

100 computers, 200 terminals, 300 communication networks

Claims

An expert referral system that introduces professionals for work,
An expert database in which expert information relating to the work of the expert and work execution data output as the expert performs work;
An evaluation means for evaluating the expert based on the business execution data;
An expert introduction means for introducing the expert in association with the expert information and the evaluation;
An expert referral system characterized by comprising
2. The expert introduction system according to claim 1, wherein the business execution data is output data when the business is processed by a computer.
An expert referral system that introduces pilots to drone operations,
An expert database storing expert information related to pilot operation by the pilot and work execution data output by the pilot operating the drone;
Evaluation means for evaluating the pilot based on the business execution data;
An expert introduction means for introducing the pilot in association with the expert information and the evaluation;
An expert referral system characterized by comprising
The work execution data is flight data output by the pilot operating the drone, and includes images taken during the flight, the degree of deviation from the planned flight route, and the number of times of entry into the prohibited area. 4. The expert introduction system according to claim 3, comprising:
To an expert introduction system that introduces professionals to work,
Provided with an expert database in which expert information relating to the work of the expert and work execution data output as the expert performs work,
Evaluating the expert based on the task performance data;
Associating the expert information with the evaluation and introducing the expert;
An expert introduction method characterized by comprising:
To an expert introduction system that introduces professionals to work,
Provided with an expert database in which expert information relating to the work of the expert and work execution data output as the expert performs work,
Evaluating the expert based on the work performance data;
Associating the expert information with the evaluation and introducing the expert;
A program for running