Lease utilization device utilizing IoT data of lease object, lease utilization method, and program thereof

Abstract

To provide a novel lease system that enables the widespread utilization of IoT data of a lease object.SOLUTION: A lease utilization device comprises: data receiving means for continuously receiving IoT data related to a lease object from IoT devices incorporated into or attached to the lease object; data classification means for classifying the received IoT data and storing it in an IoT data center that is a repository for IoT data; and data analysis means for analyzing the business status and data utilization status of the lessee based on the accumulated IoT data related to the lease object.SELECTED DRAWING: Figure 2

Description

Technical Field

[0001] The present invention relates to a system for utilizing leased properties.

Background Art

[0002] In recent years, the number of companies and individuals that utilize leasing without owning goods has been increasing. Leasing is a long-term lending service. The lessee designates the goods they want to lease, and the leasing company purchases them on behalf of the lessee. The lessee can lease the goods by paying a fixed amount to the leasing company every month. On the other hand, there is a concept similar to leasing called rental, which is a short-term lending service where a rental company lends out items prepared for an unspecified large number of people. Therefore, in leasing, the lessee can have the goods they want to lease prepared by designating them, but in rental, the lessee does not always have access to what they want to rent. Therefore, there is also data indicating that 90% of companies in the business world utilize leasing. For this reason, several lease utilization devices and lease management systems for utilizing leased properties are known.

[0003] For example, Patent Document 1 discloses an agricultural machinery share lease execution system that enables efficient shared use of agricultural machinery even between remote locations. This system lends agricultural machinery, which is a leased property, to farmers in a team that has entered into a share lease contract, and sequentially reuses it, billing each farmer for the lease fee. It has a lease execution server and a mobile terminal equipped on the agricultural machinery. The mobile terminal transmits the operation start time and end time of the agricultural machinery, and the position operation data of the agricultural machinery at these times, to the lease execution server. The lease execution server receives utilization condition data including agricultural machinery information, user and their farmland information, work plan information, and position operation data, calculates the usage fee of the agricultural machinery, and calculates the basic fee based on the desired lending days by the farmer, non-operation standard days, desired working area, and standard working hours corresponding to the desired working area.

[0004] Recently, lease services leveraging IoT (Internet of Things) have also emerged. For example, Non-Patent Document 1 describes attaching sensors to leased vehicles for managing location information and evaluating safe driving. Non-Patent Document 2 describes an IoT service for managing the location information of pallets for a pallet rental service with collection.

Prior Art Documents

Patent Documents

[0005]

Patent Document 1

Non-Patent Documents

[0006]

Non-Patent Document 1

Non-Patent Document 2

Summary of the Invention

Problems to be Solved by the Invention

[0007] As described in Non-Patent Documents 1 and 2 above, the use of IoT in leased properties has been carried out, but for the time being, it remains at the level of services that rely on individual IoT devices. Although IoT means that all things communicate via the Internet, it is hard to say that while lease companies own many things, the utilization of data of the things being leased is widely carried out.

[0008] Therefore, in the present invention, in view of the above problems, an object is to provide a new leased property utilization system that can widely utilize IoT data of leased properties.

Means for Solving the Problems

[0009] To solve the above problems, the present invention provides the following means for solution.

[0010] (1) A lease utilization device for utilizing a leased property, comprising: data reception means for continuously receiving IoT data acquired from sensors of IoT devices incorporated in or attached to the leased property; data classification means for classifying the received IoT data and accumulating it in an IoT data center which is a repository of IoT data; and data analysis means for determining, from the accumulated IoT data, the output status of data of the IoT devices used by the user of the leased property, the status of self-utilization, data on the presence or absence of other device cooperation functions, the data utilization status, and determining the business status of the leased property based on the contract information of the lease contract. It is characterized by comprising the above.

[0011] (2) In the configuration of (1) above, it is further characterized by further comprising discount rank determination means for determining a discount rank for discounting the lease fee based on the utilization status of the IoT data.

[0012] (3) In the configuration of (1) or (2) above, it is further characterized by further comprising data utilization evaluation means for determining a discount rank for discounting the data utilization fee or data purchase amount of the user of the IoT data based on the utilization content of the destination of the IoT data.

[0013] (4) In any one of the configurations from (1) to (3) above, it is further characterized by further comprising data accumulation request reception means for receiving a request for accumulation of new IoT data from a user who wishes to use the IoT data.

[0014] (5) In any one of the configurations from (1) to (4) above, the IoT device of the leased property is characterized by having an other-device cooperation function for cooperating the IoT data transmitted by its own device with the IoT data transmitted by other devices.

[0015] (6) In any one of the configurations from (1) to (5) above, when the leased property incorporates or is added with an IoT device, the IoT devices are classified according to the types and numbers of sensors provided in the IoT devices, and the lease fee, data usage fee, or data purchase amount is adjusted according to the type of the IoT device.

[0016] (7) A lease utilization method for utilizing a leased property, comprising the steps of continuously receiving IoT data acquired from sensors of IoT devices incorporated or added to the leased property; classifying the received IoT data and accumulating it in an IoT data center which is a repository for IoT data; determining, from the accumulated IoT data, the data output status, self-utilization status, data on the presence or absence of an other-device cooperation function, and data utilization status of the IoT devices used by the user of the leased property, and determining the business status of the leased property based on the contract information of the lease contract, which is characterized by being executed by a computer.

[0017] (8) A program characterized by causing a computer to execute each of the steps described in (7) above.

Advantages of the Invention

[0018] According to the present invention, it is possible to provide a new leasing mechanism that can widely utilize IoT data of leased properties.

Brief Description of the Drawings

[0019]

Figure 1

Figure 2

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Figure 7

Embodiments for Carrying Out the Invention

[0020] Hereinafter, embodiments for carrying out the present invention (hereinafter referred to as embodiments) will be described in detail with reference to the accompanying drawings. In the following figures, the same elements are given the same numbers or symbols throughout the description of the embodiments. Also, in the diagram of the functional configuration, the arrows between the functional blocks represent the data flow direction or the processing flow direction.

[0021] (Basic Concept of the Service) FIG. 1 is a diagram showing the basic concept of a leasing service utilizing IoT data according to an embodiment of the present invention. A leasing company leases equipment to users A, B, and C who are lease contractees and periodically receives lease payments.

[0022] In the leased property utilization system according to an embodiment of the present invention (hereinafter referred to as "this system"), an IoT device equipped with various sensors is built in or attached to a leased device, and has a function of continuously transmitting, via the Internet, IoT data which is data indicating the state of the leased device detected by the various sensors to the outside. The transmitted IoT data is constantly received by the system of the leasing company and stored in an IoT data center for accumulating IoT data. In the IoT data center, a huge amount of IoT data from various leased devices is classified and stored for each user and each leased device together with the acquisition date and time information of the data. Note that the transmission of IoT data is usually automatically performed from the IoT device, but those that do not require real-time performance may be performed semi-automatically.

[0023] Since the accumulated IoT data may have various utilization values, the leasing company can provide the IoT data to data users who wish to use the data and receive a data usage fee. In this system, the leasing company matches the user (data provider), who is a contractor of the lease contract, with the data user and provides various services utilizing the IoT data of the leased property.

[0024] For example, as one of these services, by adding an information provision fee to the user using the leased device, it is possible to obtain information on the usage status of the leased device or additional IoT data transmitted from the leased device. Also, for the user (data provider), discounts such as lease fees can be provided according to the business status of the leased device and the provision status of the IoT data. Here, the business status refers to information such as the number of leased devices increased or the number of buyouts after the lease contract ends, the number of lease contract renewals, and the number of cancellations. Also, for data users (including businesses, research institutions such as universities and research institutes, and institutions that make a profit from research results), discounts on usage fees can be provided according to the amount of data acquired and the utilization status of the data.

[0025] (Functional Configuration) Figure 2 is a diagram showing the functional configuration of a lease utilization device according to an embodiment of the present invention. This system is a system in which a terminal 10 (or a user's system) of a user (lease contractee), a terminal 20 (or a data user's system) of a data user, and a terminal 30 of a lease company are connected to a lease utilization device 100 via a network. As shown in the figure, the lease utilization device 100 includes, as functional blocks, a data reception unit 101, a data classification unit 102, a lease contract information DB 103, a data provision unit 104, a data storage request reception unit 105, a data analysis unit 106, a discount rank determination unit 106A, a data utilization evaluation unit 107, a data utilization destination information DB 108, and an IoT data center 110. Hereinafter, each functional block will be described in order.

[0026] The data reception unit 101 receives IoT data of a leased property from IoT devices incorporated or attached to the leased property. That is, the IoT data transmitted from the IoT devices 11, 12,... in FIG. 2 is sequentially and automatically received. When the amount of data reception is large, the data reception unit 101 may be configured by a dedicated computer. The IoT data includes an identifier (ID) of the data, a data acquisition date and time, an identifier of the transmitting leased device (IoT device), and the content of the data. The received IoT data is temporarily stored in a buffer and delivered to the data classification unit 102.

[0027] Here, the leased property in this system is not limited to facilities, devices, machines, instruments, furniture, etc., and may be a building, land, animals, etc. The leased property is not limited to those that directly transmit data to the Internet, and may be one that can indirectly send data to the Internet via a communication device (IoT device) attached to the leased property or a nearby communication device.

[0028] The data classification means 102 classifies the IoT data stored in the buffer based on the information in the lease contract information DB 103 by lease property (by IoT device), by user who is the lessee, by the region where the device is used, etc., and stores it in the database of the IoT data center 110 which is a repository for IoT data. At this time, various search keys are added to make the stored IoT data searchable. Note that the IoT data center 110 may be configured within the system of the leasing company, or may be configured on an external cloud.

[0029] The lease contract information DB 103 is a database (DB) that stores the lease contract information between the user and the leasing company. The lease contract information stores, for each lease property, the lease period, lease fee, name of the lease property, number of lease properties, presence or absence of IoT data provision, usage conditions of IoT data, etc., and is stored and updated for each contract.

[0030] The data provision means 104 searches for and reads the target IoT data stored in the IoT data center 110, and transmits it to the terminal 20 of the data user. At this time, if necessary, additional information (such as the ID of the data provider, the ID of the data user, etc.) may be added, or a plurality of data may be grouped and transmitted.

[0031] The data accumulation request reception means 105 receives a data accumulation request from the terminal 20 of the data user or other users. A data accumulation request means that when the data desired by the data user or those who wish to use the data is not in the IoT data center 110, a new request for accumulation is made.

[0032] The data analysis means 106 reads and analyzes the data stored in the IoT data center 110 as needed. This analysis is usually performed based on requests from data users, data providers (users), or instructions from the leasing company. However, certain analyses may be performed periodically, and the analysis results may be provided to the terminals 30 of the requesters or the leasing company. In particular, the analysis results provided to the leasing company are important for understanding the usage status of the leased property, the business status of the lessee, the data utilization status of the data user, etc.

[0033] Based on the results of the analysis of the IoT data related to the leased property accumulated by the data analysis means 106, the discount rank determination means 106A determines the discount rank for the user and calculates the discount amount for the user's lease fee according to the business status of the user as the data provider and the utilization status of the IoT data (including self-utilization). Also, an information provision fee for the user may be calculated according to the number of provided data, the number of data users, the total amount of data usage fees, etc.

[0034] Based on the analysis results of the data analysis means 106 and the data utilization destination information DB 108, the data utilization evaluation means 107 evaluates the data utilization status of the data user side and transmits it to the terminal 30 of the leasing company. It may be used to discover new data users according to the data utilization status, or if necessary, generate information for the leasing company to request additional data from the user. Also, the data utilization evaluation means 107 may determine the discount rank for the data user according to the data utilization status and calculate the discount amount for the data utilization fee or data purchase amount of the data user.

[0035] The data usage destination information DB108 is a database that stores contract information between data users, who are the destinations of data usage, and lease companies, as well as information that defines (such as data usage fees, data usage permission conditions, discount conditions, etc.). A data user can use the IoT data of the data provider for its own purposes on the condition that it complies with the data usage permission conditions defined by the data provider. However, information on how the acquired data is used shall be stored in the data usage destination information DB108 or the like.

[0036] The functional configuration of the above-described system is merely an example, and one functional block (database and functional processing unit) may be divided, or multiple functional blocks may be combined into one functional block. Each functional processing unit is realized by a computer program stored in a storage device such as a ROM (Read Only Memory), flash memory, SSD (Solid State Drive), or hard disk, which is read by a CPU (Central Processing Unit) built into the device and executed by the CPU. That is, each functional processing unit reads and writes necessary data such as tables from a database (DB; Data Base) stored in the storage device or a storage area in the memory, and in some cases, controls related hardware (for example, input / output devices, display devices, communication interface devices). Also, the database (DB) in the embodiment of the present invention may be a commercial database, but also means a mere collection of tables or files, and the internal structure of the database itself is not limited.

[0037] (Use Case 1) Hereinafter, use cases of IoT data acquired from leased properties will be described. FIG. 3 is a diagram showing a use case of utilizing IoT data of a leased kitchen car.

[0038] Currently, due to the decrease in eating out during the COVID-19 pandemic, the business of food trucks has been increasing not only in office areas but also around condominiums and residential areas. Therefore, when leasing a food truck, not only IoT data (location data, driving data, waiting time (business hours), weight data, etc.) collected from the sensors of the food truck, but also store data (sales data, inventory data, etc.) stored in the cash register of the food truck and the PC for managing sales and inventory of the store (which may not be inside the food truck) are linked with the IoT data of the food truck and provided as "IoT data for the entire store" to the IoT data center of the leasing company.

[0039] In this way, the leased property (also referred to as leased equipment) may have a function (referred to as the other-device linking function) that links IoT data transmitted by its own device (in this example, the food truck) with IoT data transmitted by other devices (in this example, the cash register and the management PC). The other-device linking function enables the identification of one or more other devices to be linked with the identifier of the own device to be specified (set) at any time. For example, it can be realized by adding the identifier of the device to be linked at that time to the IoT data transmitted by the own device. By doing so, the system side can know that multiple devices are linked and can save and manage the linked IoT data in an associated manner.

[0040] By analyzing the IoT data for the entire store provided to the leasing company in this way, it can be classified into cases where the number of leased food trucks has increased, or after the lease contract has ended, the food truck has been purchased (cases where the business is presumably booming), the lease is continuing (cases where the business is presumably passing for the time being), and the lease of the food truck has ended in a short period (cases where the business has not gone well). Information on when and where the food truck was selling, such as by date, day of the week, and time zone, is collected from the IoT data including GPS location information. Useful (sellable) information can be extracted from the data collected in this way. For example, the accumulated data becomes useful information for those who want to start a food truck business for the first time.

[0041] (Use Case 2) Figure 4 is a diagram showing a case of utilizing IoT data of leased pallets. A pallet is a cargo handling platform used in logistics for loading goods. In addition to the most typical flat pallet, there are many shapes such as box pallets and sheet pallets, and the materials also vary, including wood, plastic, metal, paper (cardboard), etc.

[0042] Since pallets are often leased or rented, leasing companies can attach a weight sensor for measuring the weight of goods, a strain sensor for detecting the strain of the pallet, and a temperature / humidity sensor for goods sensitive to temperature and humidity to the leased pallets, and lease them as value-added IoT devices. A GPS sensor may be attached to measure the position information of the pallet. "Pallet rental" described in Non-Patent Document 2 is an example of such a service.

[0043] Also, it is possible to obtain information during transportation such as speed sensors and acceleration sensors from the IoT data of the transport truck for carrying the pallet in cooperation with the pallet. In the case of air transportation, it is also possible to utilize various IoT sensors of the aircraft. That is, by using the other-device cooperation function of the pallet, information that cannot be obtained only by the IoT sensors of the pallet can be added. Note that since GPS sensors are usually installed in trucks, the position information of the pallet can also be obtained from the truck during transportation. However, when it is necessary to obtain the position information when the pallet is in the warehouse or not being transported, an outdoor or indoor GPS sensor installed on the pallet can be used. In this way, even for the same type of sensor, depending on the time and situation, data from a device (in this case, the transport truck) cooperating with the IoT device can be collected as IoT data in cooperation with the pallet and collected in the IoT data center. In this case, the pallet is introduced as a leased property, but the same applies to transport containers.

[0044] (Processing Flow) FIG. 5 is a diagram showing an example of a processing flow for analyzing IoT data. This processing is mainly performed by the data analysis means 106. In this processing flowchart, the processing order of each step may be changed as long as the input-output relationship of each step is not impaired.

[0045] First, in step S10, the data analysis means 106 reads out the lease contract information of a specific user of interest from the lease contract information DB 103. Next, in step S11, it checks whether the lease contract of that user has been canceled. If the contract has not been canceled, in step S12, it acquires the type, number, etc. of the IoT devices of the leased property. Leased devices that are not IoT-compatible are not counted here.

[0046] Subsequently, in step S13, it determines whether there is an increase or buyout of the leased devices from the contract information. If there is an increase or buyout of the leased devices, in step S14, it determines that the business situation of that user is A (excellent). In this case, it is positioned as data that has a high possibility of success in the business approach of that user's business and is highly referenceable.

[0047] If it is determined in step S13 that there is no increase or buyout of the leased devices, in step S15, it determines whether there is an update to the lease contract. If there is no update, it proceeds to step S22, but if there is an update, in step S16, it determines that the business situation of that user is B (good). In this case, it is presumed that the business of that user's company is going well for the time being and is positioned as data that can utilize IoT as a passing grade.

[0048] Next, after the business situation is determined in step S14 or step S16, information such as the data output situation of the IoT device used by the user, the self-utilization situation, and the presence or absence of a function for linking with other devices is acquired in step S17. Then, in step S18, the discount rank of the user is determined according to the business situation determined in step S14 or step S16 and the utilization information of the IoT device acquired in step S17. In particular, usually, the higher the business situation, the higher the discount rank.

[0049] When a user leases multiple types of IoT devices, the discount rank of the lease fee may be determined for each type of device. For example, if a certain device has a large data output, is self-utilizing the data, and is linked with other devices, the utilization status is determined to be (excellent) and the discount rank is set high. However, if another device has a small data output, is not self-utilizing the data, and is not linked with other devices, the utilization status is determined to be (fair) and the discount rank is set low. After the discount rank is determined in step S18, the process proceeds to step S22.

[0050] In the above step S11, if the user has cancelled the lease contract, the process proceeds to step S19, where the user's business status is judged to be C (passable). In this case, it is presumed that the user's business has not been successful. In step S20, if there is accumulated IoT data of equipment previously leased by the user, the data may be registered as bad example data in step S21, and used for future reference. In step S20, if there is no accumulated IoT data, the process proceeds to step S22.

[0051] Finally, in step S22, if there is an unprocessed user, the process returns to step S10 to process the next user, but if there is no unprocessed user, the process ends.

[0052] (Analysis results) FIG. 6 is a diagram showing an example of presenting the analyzed IoT data in tabular form. Here, as a leased property, the pallet described in FIG. 4 is taken as an example. As shown in the figure, the columns of this table list "Region", "Contract Customer Name", "Business Situation", "Discount Rank", "Presence / Absence of IoT Device / Device Type", "Number of IoT Devices", "Presence / Absence of Data Output", "Self-Utilization Presence / Absence", "Presence / Absence of Other Collaboration Functions", "Number of Data Usage Destinations", "Data Sales Amount", and "Data Usage Destination Name".

[0053] The reason for dividing by "Region" is to be able to provide pallet data taking into account the characteristics of the region. For example, the IoT data of a company that has succeeded in the Kanto region should, if possible, not be sold to other regions. This is because companies in the same region may become rivals, and there is also a possibility that the data provider may refuse to provide data to rival companies. Also, if the pallet's goods are climate-sensitive crops, etc., from empirical rules such as less rain in the Sanyo region, more snow in the Tohoku region, and less sunshine and more rain immediately in winter in the Hokuriku region, it may be possible to finely provide IoT data on the shape (flat type, box type, sheet type, etc.) and material (wooden, synthetic resin, metal, paper, etc.) of the pallet suitable for the local weather.

[0054] The "contract customer name" is the name of the company (user) that has signed a lease contract. Regarding the "business situation" and "discount rank", it is as described in Figure 5. The "presence / absence of IoT devices / device type" indicates whether the leased device is IoT-compatible. If it is IoT-compatible, the "device type" is described according to the functions of the sensors equipped on the device. The "device type" is defined as follows. For example, in the case of a pallet, (type α): only a weight sensor, no other machine connection function; (type β): equipped with a weight sensor + strain sensor, with other machine connection function; (type γ): equipped with a weight sensor + strain sensor + temperature and humidity sensor, position information sensor, with other machine connection function, etc. By defining the device type in this way, it is possible to lease a pallet equipped with IoT devices suitable for the purpose. In some cases, only the device type (sensors) can be changed while the pallet remains the same. Also, the lease fee or data usage fee may be adjusted according to the device type. Therefore, even for the same leased property, the fee will vary depending on the device type.

[0055] In this way, in addition to the business situation and the type of IoT devices, the discount rank of the lease fee may also be determined according to the number of IoT devices, the presence / absence of data output (even if the IoT device is capable of data output, it may not be using the data output function), the presence / absence of self-utilization of the user's own data, the number of data usage destinations, etc. Note that simply self-utilization alone does not lead to a discount. However, if it helps to recognize the value of the data through self-utilization, increases the motivation to provide the data, and provides know-how on self-utilization, it may be eligible for a discount. However, the discount rank can also be adjusted according to subsequent changes in the situation. Also, referring to the table in Figure 6 (especially the parts enclosed by ellipses in the table), the leasing company can use it to discover new data usage destinations or request the data provider to add or utilize IoT data in a way that enhances its value (makes it easier to sell).

[0056] FIG. 7 is a diagram showing an example of a table for determining the discount rank of a data user from the information of the data user. As shown in the figure, the columns of this table show "Name of Data Use Contractor", "Data Seller (Data Provider)", "Data Use Amount", "Details of Data Utilization", "Existence of Disclosure of Utilization Details", and "Discount Rank".

[0057] The "Data Use Amount" may be the purchase amount of the exclusive use right to use the data exclusively, or it may be a usage fee such as monthly / yearly according to the usage frequency of the data with a non-exclusive use right instead of the exclusive use right. The "Details of Data Utilization" is information indicating how the data used by the data user is utilized, and is usually a self-declaration by the data user. For example, it is information such as "conducted research on ○○ in a certain technical field" using the used IoT data. The "Existence of Disclosure of Utilization Details" is information specified by the data user as to whether or not to disclose the details of the data utilization by the data user. In FIG. 7, only the activity details for which the disclosure of utilization details is "Yes" are displayed.

[0058] The data utilization evaluation means 107 determines the discount rank of the data use fee or data purchase amount of the data user from the "Details of Data Utilization" and the "Existence of Disclosure of Utilization Details", and calculates the discount fee for the data user. Note that the tables in FIGS. 6 and 7 may be generated and output by the present system from the IoT data center 110 and the lease contract information DB 103 at any time.

[0059] (Effects of the Embodiment) According to the present system, it is possible to provide a new lease mechanism that can widely utilize the IoT data of leased properties. The specific operational effects are as follows. (1) The lease utilization device continuously receives IoT data of the leased property from IoT devices incorporated into or added to the leased property, classifies the received IoT data, and accumulates it in an IoT data center, which is a repository for IoT data. It analyzes the business situation of the lease contract holder from the IoT data related to the leased property. By doing so, a mechanism can be created to utilize the IoT data transmitted from various leased properties held by the leasing company.

[0060] (2) The discount rank determination means 106A determines a discount rank for discounting the lease fee based on the utilization status of the IoT data of the user (data provider side). This will increase the willingness of the user side to introduce IoT-compatible devices. Note that the determination of the discount rank here does not have to be fully automatic and human judgment may be relied upon.

[0061] (3) The data utilization evaluation means 107 determines a discount rank for discounting the data usage fee or data purchase amount of the IoT data user based on the utilization status of the IoT data of the data user side. This will increase the opportunities for the data user to utilize IoT data.

[0062] (4) The data accumulation request acceptance means accepts requests for accumulating new IoT data from IoT data users or other users. This will expand the range of lease devices that can send more needed IoT data.

[0063] (5) The IoT device of the leased property has an other-device cooperation function for cooperating its own IoT data with the IoT data of other devices. By combining its own device with other devices in this way, more useful data can be sent.

[0064] (6) When the leased property incorporates or is added with an IoT device, the IoT device is classified according to the type and number of sensors provided in the IoT device, and the lease fee, data usage fee, or data purchase amount can be adjusted according to the type. This will expand the range of choices of IoT devices and promote more appropriate use of IoT devices.

[0065] In the above embodiment, the lease has been mainly described. However, the present system can also be applied to rental. This is because in lease and rental, only the usage right of the equipment (exclusive or shared) and the lending period of the equipment are different. Also, different data may be obtained for the same equipment in lease and rental. For example, in a rental car, various drivers use it on various driving routes. However, in a leased car, usually the drivers and driving routes are limited. Therefore, different IoT data can be obtained even for the same vehicle type, which can also be utilized for the analysis of various characteristics of the car and new development.

[0066] As described above, the present invention has been explained using the embodiment. Needless to say, the technical scope of the present invention is not limited to the scope described in the above embodiment. It is obvious to those skilled in the art that various changes or improvements can be made to the above embodiment. Also, it is obvious from the description of the claims that the forms with such changes or improvements can also be included in the technical scope of the present invention.

[0067] In the above embodiment, the present invention has been described as an invention of an article, specifically, a lease utilization device. However, the present invention can also be regarded as an invention of a method (lease utilization method) or an invention of a computer program that constitutes a lease system.

Description of Reference Numerals

[0068] 10 Terminal (or system) of user (lease contractor) 11 - 12... IoT devices of leased property 20 Terminal (or system) of data user 30 Terminal of leasing company 100 Lease utilization device 101 Data receiving means 102 Data classification means 103 Lease contract information DB 104 Data providing means 105 Data accumulation request receiving means 106 Data analysis means 107 Data utilization evaluation means 108 Data destination information DB 110 IoT data center

Claims

1. A lease utilization device for utilizing leased properties, comprising: data receiving means for continuously receiving IoT data obtained from sensors of IoT devices incorporated into or attached to the leased properties; data classification means for classifying the received IoT data and storing it in an IoT data center which is a repository for IoT data; data analysis means for determining, from the stored IoT data, the output status of data of the IoT devices used by the users of the leased properties, the status of self-utilization, data on the presence or absence of other device linkage functions, the status of data utilization, and for determining the business status of the leased properties based on the contract information of the lease contract; A lease utilization device, characterized by comprising the above.

2. The lease utilization device according to Claim 1, further comprising discount rank determination means for determining a discount rank for discounting the lease fee based on the status of data utilization.

3. The lease utilization device according to Claim 1 or 2, further comprising data utilization evaluation means for determining a discount rank for discounting the data utilization fee or data purchase amount of the user of the IoT data based on the utilization content of the destination of the IoT data.

4. The lease utilization device according to any one of Claims 1 to 3, further comprising data accumulation request reception means for receiving a request for accumulation of new IoT data when the data desired by a person desiring to use the IoT data is not in the IoT data center.

5. The lease utilization device according to any one of Claims 1 to 4, wherein the IoT devices of the leased properties are provided with an other device linkage function for linking the IoT data transmitted by its own device and the IoT data transmitted by other devices.

6. When the leased property incorporates or is attached with IoT devices, the IoT devices are classified according to the type and number of sensors provided in the IoT devices, and the lease fee or data utilization fee or data purchase amount is adjusted according to the type of the IoT devices. The lease utilization device according to any one of Claims 1 to 5.

7. A lease utilization method for utilizing leased properties, comprising: continuously receiving IoT data related to the leased property from IoT devices incorporated into or attached to the leased property; classifying the received IoT data and storing it in an IoT data center, which is a repository for IoT data; determining, from the stored IoT data, the output status, self-utilization status, data on the presence or absence of other device linkage functions, and data utilization status of the IoT devices used by the user of the leased property, and determining the business status of the leased property based on the contract information of the lease contract; A lease utilization method, characterized in that a computer executes the steps.

8. A program, characterized in that a computer executes each step according to Claim 7.

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