Lease management device, lease management method, and program thereof

Abstract

To provide a novel platform utilizing an IoT technology for a lease service.SOLUTION: A lease management device, which manages a lease property, includes: lease information receiving means which receives lease information from an IoT apparatus being installed in or attached to the lease property, and stores the lease information in lease information storage means; lease information analysis means which analyzes a value of data stored in the lease information storage means or correlation of the data; disclosure / non-disclosure setting means which sets data regarding the lease information to disclosure or non-disclosure; and data publication means which notifies a maker and a user of the lease property of the non-disclosure data, and publishes the disclosure data to the outside in a permitted range.SELECTED DRAWING: Figure 5

Description

[Technical Field]

[0001] The present invention relates to a lease management device, a lease management method, and a program therefor. [Background technology]

[0002] In recent years, an increasing number of companies and individuals are leasing goods instead of owning them. Leasing is a long-term rental service in which the borrower specifies the product they wish to rent, and the leasing company purchases it on their behalf. The borrower then pays a fixed monthly fee to the leasing company to rent the product. Rental, which has a similar concept to leasing, is a short-term rental service in which items prepared by a rental company are rented to an unspecified number of people. Therefore, while leasing allows the borrower to specify the product they wish to rent and have it prepared for them, rental does not mean that the borrower can rent what they want whenever they want. Therefore, data suggests that 90% of companies in the business world use leasing. For this reason, several patent documents are known regarding management devices and management systems for managing leased properties.

[0003] For example, Patent Document 1 discloses a lease information management device that handles transfer of ownership of a solar power generation system. This management device includes: a storage unit that stores lease contract information including information indicating a lease period with a customer to whom a business company subleases a solar power generation system; payment information including information related to lease fees for the solar power generation system; and ownership information including information related to whether the business company has ownership of the solar power generation system; a lease contract information storage unit that stores the lease contract information in the storage unit when the customer enters into a new lease contract with the business company; a lease term expiration detection unit that detects expiration of the lease period included in the lease contract information; a payment information storage unit that stores payment information from the customer in the storage unit; and an ownership information change unit that changes the ownership information of the solar power generation system based on detection of expiration of the lease period by the lease term expiration detection unit and the payment information.

[0004] Furthermore, Patent Document 2 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 lease property, to a team of farmers who have signed a share lease contract, rotates the machinery around, and charges each farmer a lease fee. The system has a lease execution server and a mobile terminal equipped on the agricultural machinery, and the mobile terminal transmits the start and end times of operation of the agricultural machinery and the position and operation data of the agricultural machinery at these times to the lease execution server. The lease execution server receives agricultural machinery information, user and field information, and usage condition data including work plan information, as well as the position and operation data, and calculates the usage fee for the agricultural machinery and calculates a basic fee based on the farmer's desired number of rental days, base non-operation date, desired work area, and base work time corresponding to the desired work area. [Prior art documents] [Patent documents]

[0005] [Patent Document 1] Japanese Patent Application Publication No. 2019-91338 [Patent Document 2] Japanese Patent Application Laid-Open No. 2016-218809 Summary of the Invention [Problem to be solved by the invention]

[0006] Recently, the Internet of Things (IoT), also known as the "Internet of Things," has been attracting attention. IoT means that all kinds of things communicate via the Internet. For example, a door might start tweeting, "It's open now," a machine in a factory might say, "It's not working properly. It's about to break down," a plant might say, "I need water," or a cat collar might say, "It's in the toilet now." This information can be used in a variety of places via the Internet. However, the patent documents mentioned above do not disclose the mechanisms for leasing property services that utilize IoT technology.

[0007] Therefore, in consideration of the above-mentioned problems, the present invention aims to provide a new platform that utilizes IoT technology for leasing services. [Means for solving the problem]

[0008] In order to solve the above problems, the present invention provides the following solutions.

[0009] (1) A lease management system for managing leased properties, comprising: a lease information receiving means for receiving lease information of the leased property from an IoT device incorporated in or attached to the leased property and storing the information in a lease information storage means; and a lease information analysis means for analyzing the value of the data stored in the lease information storage means or the correlation of the data, wherein the lease information analysis means determines the value of the data in the lease information based on the access frequency of the stored lease information and the number of requests for data storage of the same type of leased property.

[0010] (2) The lease management system described in (1) is characterized by comprising a public / private setting means that communicates with the lease information analysis means and allows the data provider to set whether data related to the lease information is public or private, a data publication means that notifies the manufacturer and user of the leased property of the private data and publishes the public data to the outside within the permitted scope, and a data storage request acceptance means that receives requests from the user, the manufacturer, and other data users to store data related to the leased property.

[0011] (3) The lease management system described in (2) is characterized in that it further comprises a lease fee discount calculation means for calculating a discount amount on the lease fee as compensation for the data provided by the user or based on the value of the data.

[0012] (4) The lease information analysis means analyzes all combinations of the accumulated data and extracts combinations of data that are recognized to have significant correlations. Alternatively, if the same user leases multiple devices at the same time, the lease management system according to any one of (1) to (3) is characterized in that it extracts correlations between data on the multiple devices based on usage data on the leased items.

[0013] (5) The lease management system described in (2) is characterized in that it further comprises a data sales acceptance means for accepting sales of data related to lease properties from the user, the manufacturer, the data user, and other businesses.

[0014] (6) A lease management system according to any one of (1) to (5), characterized in that the leased property includes software and electronic content.

[0015] (7) A lease management method for managing leased properties, characterized in that a computer executes the following steps: receiving lease information of the leased property from an IoT device incorporated in or attached to the leased property and storing the information in a lease information storage means; analyzing the value of the data stored in the lease information storage means or the correlation of the data; and determining the value of the data in the lease information according to the access frequency of the stored lease information and the number of requests for data storage of the same type of leased property.

[0016] (8) A program that causes a computer to execute each step described in (7) above. [Effects of the Invention]

[0017] According to the present invention, a new platform that utilizes IoT technology can be provided for leasing services. [Brief explanation of the drawings]

[0018] [Figure 1]FIG. 1 is a diagram illustrating the concept of a new platform using leases according to an embodiment of the present invention. [Figure 2] FIG. 1 is a diagram showing the concept of a new platform using leases (continued) according to an embodiment of the present invention. [Figure 3] FIG. 1 is a diagram for explaining a package-type lease according to an embodiment of the present invention. [Figure 4] FIG. 1 is a diagram illustrating a data utilization scheme according to an embodiment of the present invention. [Figure 5] FIG. 2 is a diagram illustrating functional blocks of a lease management device according to an embodiment of the present invention. [Figure 6] FIG. 2 is a diagram showing an outline of a specific example of data stored in a lease information storage means according to an embodiment of the present invention. [Figure 7] FIG. 10 is a diagram showing a flow of a process for accumulating and publishing lease information according to an embodiment of the present invention. [Figure 8] FIG. 10 is a diagram showing a processing flow for analyzing data values ​​and relative relationships of lease information according to an embodiment of the present invention. DETAILED DESCRIPTION OF THE INVENTION

[0019] DETAILED DESCRIPTION OF THE PREFERRED EMBODIMENTS Hereinafter, modes for carrying out the present invention (hereinafter referred to as embodiments) will be described in detail with reference to the accompanying drawings.

[0020] Figures 1 and 2 are diagrams showing the concept of a new platform using leasing according to an embodiment of the present invention (hereinafter referred to as the present system). As already mentioned, leasing is when a leasing company purchases machinery and equipment selected by a user on behalf of the user and rents it to the user for the medium to long term, but the conventional leasing system, as shown in Figure 1(a), is such that the leasing company enters into a sales contract with the manufacturer for the equipment to be leased (lease item), receives the transfer of ownership of the equipment, enters into a leasing contract with the user who will be the lessee, and receives lease payments during the lease period.

[0021] Figure 1(b) shows the concept of the new platform using the lease of this system. Users who lease equipment want to keep their lease fees low. Meanwhile, manufacturers of equipment that lease assets want various information to utilize IT. The leasing company acts as a platform, offering users discounts on lease fees and proposing new equipment in exchange for receiving data from leased IoT devices. Manufacturers receive information usage fees in exchange for providing the data received from users. In other words, this system functions as an information platform by collecting data from multiple users. Data can be collected by discounting lease fees, and monetization can be achieved through consulting on data provision and analysis.

[0022] As already mentioned, leasing companies receive usage fees by providing manufacturers with data from other companies and the results of their analysis, and receive discounts on lease fees in exchange for providing users with data. Furthermore, as shown in Figure 2, leasing companies can also provide analysis results of company data and provide consulting services to data users who are third parties and are neither manufacturers nor users. This is something that was previously unthinkable for leasing companies.

[0023] Similar to leasing and rental is the concept of subscription. Subscription allows you to receive a service any number of times during a specified period of time by paying a fixed amount, and is commonly used for magazine subscriptions, internet communication services, mobile phone plans, and software usage fees. Generally, subscriptions are for services or intangible items such as those mentioned above, but there are also cases where software is packaged with a tangible item such as a PC, and a subscription contract is signed, with the usage fee paid in one lump sum.

[0024] In this system, intangible subscription items can also be leased. Therefore, in this specification, subscriptions are also considered to be leases. However, for copyrighted items, the copyright must be assigned to the leasing company or a license must be obtained. Below, we will explain the functions that this system provides to increase the value of the platform itself.

[0025] (Data value presentation function) IoT data stored on this system can be set to public or private, and IoT data holders who keep their data private will be notified that "Your data is in demand in the market, so by making it available for access, you can earn a monthly income."

[0026] (Data usage suggestion function) We accept sales pitches for IoT data from non-users who are not yet lease users. By doing so, we can turn this system into an "IoT data platform" that goes beyond just data derived from leases. Furthermore, if we determine that the data being sold has value, we will add devices that can output that IoT data to our lineup of lease products.

[0027] (Correlation publication function) Regularly analyze data and publish any significant correlations found. In other words, analyze all possible combinations of data stored on the platform, memorize data combinations that are found to have significant correlations, and periodically publish these data combinations. This will attract new users. By constantly memorizing and disseminating information, it will also encourage users to access the platform regularly.

[0028] (Equipment leasing request reception function) We will provide a means to accept requests to store IoT data that has not been made public on the platform. If data is stored but remains private, we will offer to make it public to the data owner. If the desired data cannot be transmitted, we will add IoT devices that can output the data to our lineup of leasing products.

[0029] (Package-type lease proposal function) Figure 3 is a diagram illustrating package leasing. While traditional leasing allows users to freely select the facilities and equipment they will use, package leasing provides multiple anticipated facilities and equipment as a pre-packaged package. For example, a complete set of conference room equipment (PC, display, speakers, microphone, whiteboard, and recording camera) can be leased as a package. If there is equipment whose usage is increasing, it is possible to offer other package leasing users a package lease by rearranging the lease of the equipment with increasing usage. It is also possible to propose additional conference room equipment such as wireless displays, electronic whiteboards, and wireless speakers. When proposing a package, data on multiple devices leased together can be used as a reference. Package leasing makes it possible to obtain data on multiple facilities from the same company. Package leasing also makes it possible to offer discounts on leasing fees.

[0030] (Specific proposals for data utilization) Figure 4 is a diagram showing a proposed data utilization method for this system. As a specific example of data utilization, an outline of a proposal for utilizing weather data (sunshine hours, wind power, etc.) and industrial equipment data to promote automation is shown. As shown in the figure, a leasing company can accumulate tractor driving data, sunshine data for solar power generation, wind power data for wind power generation, livestock data for livestock farming, ship operation data, aircraft flight data (not shown), and weather data (not shown), and use the accumulated data to contribute to the full automation of agricultural work using drones, maximizing the efficiency of the livestock farming industry, and the full automation of fishing.

[0031] For example, livestock data such as body temperature, blood pressure, heart rate, and blood sugar levels of expectant mother cows can be collected from IoT devices attached to or implanted in the cows. This data can be used to predict the health of calves immediately after birth, preventing accidents such as calf deaths shortly after birth and maximizing the efficiency of the livestock industry. Furthermore, data on sunlight, weather, wind, tractor operation, and aircraft flight can be used to monitor the color of crops in agricultural areas, soil condition, temperature, and wind direction. This can optimize the location and timing of pesticide spraying, reducing the amount of pesticide used and contributing to the full automation of agricultural work to maximize harvests. Furthermore, aircraft images of the ocean surface, flight data, and ship operation data can accurately track the location of schools of fish, leading to the full automation of fishing to maximize catches. These are all things that would be impossible for a single company to achieve, but building a platform that combines various IoT data obtained from various devices leased by leasing companies can make them possible.

[0032] (Advantages of this system) The benefits for companies leasing include (1) receiving discounts from the leasing company in exchange for providing data, (2) increased efficiency through the use of IoT devices, (3) opportunities to receive consulting services from other companies based on the data, and (4) the ability to introduce multiple leasing products in a package from the leasing company.

[0033] In addition, the benefits for manufacturers include (1) being able to enjoy data from more users through leasing companies, (2) being able to request data on equipment other than their own from leasing companies, and (3) being able to gain correlation with market data.

[0034] In addition, the benefits for leasing companies include: (1) the ability to obtain large amounts of diverse data due to the variety of products handled and the large number of trading companies; (2) the ability to simultaneously lease multiple devices; (3) the ability to provide the data obtained here to manufacturers and external consultants, allowing them to use it in their own consulting business; and (4) the ability to contribute to the development of new products (new leased properties) by combining new information.

[0035] (Functional block of this system) The system configuration for realizing this system will be described in detail below with reference to Figures 5 and 6. In the following figures, arrows between functional blocks indicate the direction of data flow or the direction of processing flow.

[0036] 5 is a diagram showing the functional blocks of the lease management device 100 of this system. As shown in the figure, this lease management device 100 is a device that manages lease information, and is broadly divided into data reception means 110, lease information storage means 120, public / private setting means 125, lease information analysis means 130, data publication means 140, and lease fee discount calculation means 150. Each means will be explained in order below.

[0037] The data receiving means 110 is a means for receiving data and requests from the manufacturer 10, the user 20, the data user 30, etc., and includes a lease information receiving means 111, a data storage request receiving means 112, and a data sales receiving means 113.

[0038] The lease information receiving means 111 receives lease information (lease data) of the leased property from the IoT device incorporated in or added to the leased property, and stores it in the lease information storage means 120. That is, IoT data of the device is sequentially received from the device 21 (IoT-compatible device) being leased to the user 20, and stored in the lease information storage means 120. If the leased device is not IoT-compatible, the leasing company may add an IoT-compatible device (a device that can connect to the Internet). The IoT data received here includes the device's operating status, detailed data during operation, footage from the built-in camera, failure data, etc., which will be described in detail below.

[0039] The data storage request receiving means 112 receives requests for data storage from the manufacturer 10 (manufacturer's system), the user 20 (user's terminal), and the data user 30 (their terminal). The data for which requests are received is data for devices not owned by the leasing company, and is data for devices for which a new lease is desired to be started or data is desired to be acquired. The data sales receiving means 113 receives sales requests from users, manufacturers, data users, and other businesses of data for IoT devices not owned by the leasing company. If the device desired to be leased is not IoT-compatible, it is also possible to propose leasing the device as a set with a locally connectable IoT device.

[0040] The lease information storage means 120 is a database that stores IoT data received from the user 20 (user terminal), and stores information such as the device type, device ID, leased user ID, lease period, IoT data type, data on the actual use of the device, and installation location (see FIG. 6 for a specific example). The lease information storage means 120 may be categorized by the user company's industry, size, region, etc. Note that the CAN (Controller Area Network) data in FIG. 6 is a standard positioned as a standard protocol for automotive LANs standardized by ISO11898, and can acquire data such as door opening, warp operation, brake operation, steering operation, etc.

[0041] The public / private setting means 125 has a function that allows the data provider (and in some cases the leasing company) to set whether or not the data stored in the lease information storage means 120 will be made public. The public / private setting may be set for each data item when it is received, or for each data item. For example, in the example of Figure 6, it is possible to set the user name, lease period, etc. to be private, while other items are public. Furthermore, this setting can be changed by the data provider at any time, even after the data has been provided. It is also possible to set the destination to which the data will be made public, the period for which it will be made public, etc. This allows the data to be made public only within the permitted scope, even if it is made public. The public / private setting information is stored in the lease information storage means 120.

[0042] The lease information analysis means 130 includes a data value analysis means 131 , a data correlation analysis means 132 , and a package lease presentation means 143 .

[0043] The data value analysis means 131 analyzes the data stored in the lease information storage means 120 to extract "data value." Here, "data value" is determined based on how much useful information can be obtained from the data or how many users want that data. This determination does not have to be made entirely automatically, but may be made by presenting analytical data that will serve as a reference for a final human determination of "data value." As already mentioned, it is also possible to notify data owners who have kept their data private that "your data is in demand in the market, so by making it public you can earn a monthly income."

[0044] The lease fee discount calculation means 150 calculates the discount amount of the lease fee for the user. As already mentioned, the leasing company provides the user with a discount on the lease fee in exchange for receiving data from the leased IoT device. Here, the lease fee discount calculation means 150 may determine the discount amount of the lease fee as compensation for the data provided by the user, or may determine it based on the "data value" extracted by the data value analysis means 131.

[0045] The data correlation analysis means 132 analyzes the "correlation" of the device data stored in the lease information storage means 120. In other words, it analyzes all possible combinations of the accumulated data, stores data combinations that are found to have significant correlations, and periodically publishes these data combinations. This correlation analysis may be performed regardless of field or device. In this way, it is possible to extract correlated data, such as the fact that diapers and beer are often sold together in supermarkets.

[0046] The data correlation analysis means 132 can also extract candidates for devices to be leased as a package by combining multiple devices. For example, it can extract cases in which a copier, telephone, and PC are leased simultaneously from the same user in an office, extract the tendency for specific combinations of devices to be leased simultaneously, and calculate the probability. Furthermore, as with the PC mentioned above, combinations of specific hardware and specific software are also considered to have a high correlation. By extracting such correlations, it is possible to discover unexpected combinations.

[0047] The data publishing means 140 includes a data value presenting means 141, a data correlation presenting means 142, and a package leasing presenting means 143. Each presenting means has a function of presenting data relating to data value, equipment correlation, and package leasing to the outside within the permitted scope as a result of analysis by the leasing information analysis means 130.

[0048] This concludes the explanation of Figures 5 and 6. However, the functional configuration of the present system described above is merely an example. A single functional block (database and functional processing unit) may be divided, or multiple functional blocks may be combined into a single functional block. Each functional processing unit is implemented by a computer program executed by a central processing unit (CPU) built into the device, which reads a computer program stored in a storage device such as a read-only memory (ROM), flash memory, solid-state drive (SSD), or hard disk. That is, each functional processing unit is implemented by the computer program reading and writing necessary data, such as tables, from a database (DB) stored in a storage device or a memory area in memory, and, in some cases, controlling related hardware (e.g., an input / output device, a display device, or a communication interface device). Furthermore, the database (DB) in the embodiments of the present invention may be a commercial database, but it also refers to a simple collection of tables and files, regardless of the internal structure of the database itself.

[0049] (Processing flow) The processing of this system will be explained in more detail below using Figures 7 and 8. In the processing flow diagrams (flowcharts) below, the processing order of each step may be changed as long as the relationship between input and output of each step is not affected.

[0050] FIG. 7 shows the flow of the system's lease information accumulation and publication processes. In step S10, the lease management device 100 (hereinafter simply referred to as the management device) of this system first acquires a list of leased items (including intangible assets) under lease contract. Next, in step S11, it checks whether the leased items are IoT-compatible. IoT compatibility means that the device has the ability to transmit device status data and data acquired from external sources to the outside via the Internet. If the device is IoT-compatible, it acquires data directly from the device in step S12. If the leased item is not IoT-compatible, it proceeds to step S13, where it checks whether there are any IoT-compatible devices in the vicinity. If there are no IoT-compatible devices in the vicinity, it does nothing here and jumps to step S21 to check the next unprocessed device. If there is an IoT-compatible device in the vicinity, it acquires data from that peripheral device in step S14.

[0051] Here, a peripheral device refers to a device that can acquire the status of a device that is not IoT-enabled. For example, if one of the devices leased as a package is capable of connecting to the Internet and can locally acquire the status data of other devices that cannot connect to the Internet, that network device would be considered a peripheral device. Also, if the leased item is software or electronic content, the PC on which that software or content is installed would be considered a peripheral device.

[0052] After step S12, the management device proceeds to step S15, where, if there are transmission conditions set for the acquired data, it checks whether the data transmission conditions are met. Data transmission conditions predetermine the timing for sending the data. For example, if the data requires real-time performance, the data is immediately sent to the manufacturer, etc. (step S16), but if not, the data is accumulated until a predetermined timing (for example, at a certain time every day or once a week) arrives (step S17), and the accumulated unsent data is transmitted at the next timing. This reduces the communication load.

[0053] Next, in step S18, the management device checks whether there are any data users other than the manufacturer or the user. If there are no data users, the process jumps to step S21 to check the next unprocessed device. If there are data users, in step S19, if data transmission conditions exist and the transmission conditions are met, the data is immediately transmitted to the data user (step S20). If the transmission conditions are not met, the data is stored until the next timing comes, although this is not shown in the figure. Note that the data stored here does not have to match the data stored in step S17. This is because data users may not necessarily require the same level of detailed data as the data required by manufacturers, etc.

[0054] Finally, in step S21, the management device checks whether there are any unprocessed devices, and if there are any unprocessed devices, the process returns to step S11, but if there are no unprocessed devices, the process ends. Note that in the process of Figure 7, data reception and data transmission are performed simultaneously, but data reception and transmission may also be performed in separate processes. This concludes the explanation of Figure 7.

[0055] FIG. 8 is a diagram showing the processing flow for analyzing the data value and relative relationships of lease information in this system. First, in step S30, the management device reads data from the lease information storage means 120. Then, in step S31, the data value score is updated according to the data access frequency and data storage desire. The data value score is an index that represents the value of the data, and is determined according to the frequency with which the data is accessed from outside and the desired number of data of that type to be stored. Furthermore, if the data itself is scarce, this may also be taken into consideration.

[0056] In step S32, the management device then analyzes all possible combinations of the accumulated data and extracts data combinations that are found to have a significant correlation. A significant correlation is a correlation that exceeds the expected range, for example, data on devices used at the same time, data on devices used exclusively, data on devices affected by seasons or weather, or data on devices that show clear differences depending on the region.

[0057] The management device then checks in step S33 whether the same user is leasing multiple devices at the same time. If this condition is met, the process proceeds to step S34; if not, the process jumps to step S35. This condition is always met in the case of a package-type lease, but it may also be met when multiple devices are leased separately.

[0058] Then, in step S34, the management device extracts correlated leased items (lease equipment) from the accumulated data (lease information usage data). For example, even if they are considered to be in different fields, such as PCs and massage machines, they are extracted as equipment that is likely to be used together. The data referenced here may be products in completely different fields. This is because a correlation can sometimes be found even between seemingly unrelated products, such as diapers and beer, as mentioned above.

[0059] Finally, in step S35, the management device checks whether there is unprocessed data, and if there is unprocessed data, the process returns to step S31, but if there is no unprocessed data, the process ends. Note that in the process of Figure 8, the analysis of data value and the extraction of device correlation are performed simultaneously, but the analysis of data value and the analysis of device correlation may also be performed in separate processes. This concludes the explanation of Figure 8.

[0060] (Effects of the embodiment) The effects of this system are summarized below. This system can provide a new platform for leasing services that utilizes IoT technology. This system is realized by a management device, which serves as the core. Specifically, the management device acquires leasing information from leased IoT devices, stores it in a storage device, and analyzes the value of the stored data or the correlation between the data. It also sets whether data related to the leasing information is public or private, notifies the manufacturer or user of the leased item of private data, and allows data that is permitted to be made public to the public within the permitted scope. Here, the leased item may be an intangible asset such as software.

[0061] Furthermore, by analyzing lease information, the value of the accumulated data can be determined based on the frequency with which the data was accessed from outside and the number of requests for that type of data to be accumulated. Furthermore, by checking whether the same user leased multiple devices at the same time, data on the correlation between devices can be extracted. Both of these methods can increase the added value of the accumulated data.

[0062] In addition, by accepting requests for data accumulation from outside, the system can promote the introduction of new leased properties and the IoT conversion of non-IoT compatible devices based on the status of this acceptance. The data sales acceptance means can also accept data itself from outside, and collect information on non-leased devices. Both of these will make up for the lack of leasing capacity.

[0063] Although the above embodiment has mainly described leasing, the mechanism of the present invention can also be applied to rental, which is the same concept as leasing. The only difference between leasing and rental is whether the leasing company purchases and rents out equipment at the request of the user, or whether the leasing company rents out equipment that it already owns, and the rental period.

[0064] Although the present invention has been described above using embodiments, it goes without saying that the technical scope of the present invention is not limited to the scope described in the above embodiments. It will be apparent to those skilled in the art that various modifications and improvements can be made to the above embodiments. Furthermore, it is clear from the claims that such modifications and improvements can also be included within the technical scope of the present invention. In the above embodiments, the present invention has been described as a product invention, specifically a lease management device. However, the present invention can also be considered as a method invention (lease management method) or a computer program invention. [Explanation of symbols]

[0065] 10. Manufacturers 20 users 21 Leased Equipment 30 Data Users 100 Lease management device 110 Data acceptance means 111 Lease information receiving means 112 Data storage request acceptance method 113 Data sales acceptance means 120 Lease information storage means 125 Public / Private Setting Method 130 Lease Information Analysis Tools 131 Data Value Analysis Tools 132 Data correlation analysis tools 140 Data Disclosure Methods 141 Means of presenting data value 142 Data correlation presentation method 143 Package Lease Presentation Method 150 Lease discount calculation method

Claims

1. A lease management system for managing leased properties, A lease information receiving means for receiving lease information of the leased property from an IoT device incorporated in or added to the leased property and storing the information in a lease information storage means; a lease information analysis means for determining the value of the data of the lease information according to the access frequency of the lease information stored in the lease information storage means and the number of requests for data storage of the same type of lease property; a lease fee discount calculation means for calculating a discount amount of the lease fee as compensation for the data provided by the user of the leased property or based on the value of the data determined; A lease management system comprising:

2. a public / private setting means for communicating with the lease information analysis means and for allowing a data provider to set whether data relating to the lease information is to be public or private; a data publishing means for notifying the manufacturer and user of the leased property of the non-public data and publishing the public data to the public within the permitted scope; 2. The lease management system according to claim 1, further comprising a data storage request receiving means for receiving requests from said users, said manufacturers, and other data users to store data relating to leased properties.

3. The lease management system described in claim 1 or 2, characterized in that the lease information analysis means further analyzes the accumulated data in all combinations and extracts combinations of data that are found to have a significant correlation, or, if the same user leases multiple leased properties at the same time, extracts correlations between the data of the multiple leased properties using usage data of the leased properties.

4. 3. The lease management system according to claim 2, further comprising a data sales acceptance means for accepting sales of data relating to lease properties from the user, the manufacturer, the data user, and other businesses.

5. 5. The lease management system according to claim 1, wherein the leased property includes software and electronic content.

6. A lease management method for managing leased property, comprising: receiving lease information of the leased property from an IoT device incorporated in or attached to the leased property and storing the information in a lease information storage means; A step of determining the value of the data of the lease information according to the access frequency of the lease information stored in the lease information storage means and the number of requests for data storage of the same type of lease property; Calculating a discount on the lease fee as compensation for the data provided by the user of the leased property or based on the determined value of the data; A lease management method characterized by being executed by a computer.

7. A program causing a computer to execute the steps set forth in claim 6.

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