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 using leasing instead of owning things. Leasing is a long-term rental service in which the borrower specifies the product they want to borrow, the leasing company purchases it on their behalf, and the borrower can rent the product by paying a fixed amount to the leasing company every month. On the other hand, rental is a similar concept to leasing, but rental is a short-term rental service in which items prepared by a rental company are rented to an unspecified number of people. Therefore, in leasing, the borrower specifies the product they want to borrow and it is prepared for them, but in rental, the borrower cannot borrow what they want whenever they want. Therefore, there is data that shows that 90% of companies in the business world use leasing. Therefore, there are several patent documents related to management devices and management systems for managing leased properties.

[0003] For example, Patent Document 1 discloses a lease information management device that handles the 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 sub-leases a solar power generation system, payment information including information related to the lease fee 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 the 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 the detection of the expiration of the lease period by the lease term expiration detection unit and the payment information.

[0004] Patent Document 2 discloses an agricultural machinery share lease execution system that allows efficient shared use of agricultural machinery even in remote locations. This system lends agricultural machinery, which is a leased item, to a team of farmers who have signed a share lease contract, rotates the machinery around, and charges each farmer a lease fee. It 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 operation data of the agricultural machinery at these times to the lease execution server. The lease execution server receives the agricultural machinery information, the user and their field information, and the use condition data and the position operation data including the work plan information, and calculates the usage fee for the agricultural machinery and calculates the basic fee based on the farmer's desired number of rental days, the non-operation base date, the desired work area, and the base work time corresponding to the desired work area. [Prior art documents] [Patent documents]

[0005] [Patent Document 1] JP 2019-91338 A [Patent Document 2] JP 2016-218809 A 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 may start tweeting, "It's open now," a machine in a factory may say, "It's not working properly. It's about to break down," a plant may say, "I need water," or a cat's collar may say, "It's in the toilet now." This information can then be used in a variety of places via the Internet. However, the above patent documents do not disclose the mechanism for leasing property using 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 added 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 between the data, wherein the lease information analysis means determines the value of the data of 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.

[0010] (2) The lease management system described in (1), characterized in that it is equipped with a public / private setting means that communicates with the lease information analysis means and enables 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 permitted limits, 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 of 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 the accumulated data in every possible combination and extracts combinations of data that are found to have a significant correlation, or, when the same user leases multiple devices for the same period, extracts correlations between the data of the multiple devices based on usage data of 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 regarding 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, the lease management method being characterized in that a computer executes the steps of 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, and analyzing the value of the data or the correlation of the data stored in the lease information storage means, the analyzing step determining the value of the data of 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 for causing a computer to execute each of the steps described in (7) above. Effect of the Invention

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

[0018] [Figure 1]FIG. 1 is a diagram showing the concept of a new platform using leases according to an embodiment of the present invention. [Diagram 2] FIG. 1 is a diagram showing the concept of a new platform using leases (continued) according to an embodiment of the present invention. [Diagram 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 showing a data utilization scheme according to an embodiment of the present invention. [Diagram 5] FIG. 2 is a diagram showing functional blocks of a lease management device according to an embodiment of the present invention. [Figure 6] FIG. 2 is a diagram showing an overview of a specific example of data stored in a lease information storage means according to an embodiment of the present invention. [Figure 7] FIG. 2 is a diagram showing a flow of accumulation processing and publication processing of lease information according to an embodiment of the present invention. [Figure 8] FIG. 13 is a diagram showing a processing flow of analyzing data value and relative relationship of lease information according to an embodiment of the present invention. DETAILED DESCRIPTION OF THE PREFERRED EMBODIMENTS

[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 means that a leasing company purchases machinery and equipment selected by a user on behalf of the user and rents it to the user for a medium to long term, but the conventional leasing system, as shown in Figure 1(a), is that a leasing company enters into a sales contract with a manufacturer for equipment that will be the leased material (lease property), receives the transfer of ownership of the equipment, enters into a leasing contract with the user who will be the lessee, and receives lease fees 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 reduce the lease fee. Meanwhile, the equipment manufacturers of the leased equipment want various information to utilize IT. The leasing company then becomes the platform, offering users discounts on lease fees and proposing new equipment in exchange for receiving data from the leased IoT equipment. Manufacturers receive an information usage fee 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 the lease fee, and monetization can be achieved by consulting on the provision of data and analysis.

[0022] As already mentioned, leasing companies receive a usage fee by providing other companies' data and the results of their analysis to manufacturers, and in return for providing data to users, they receive a discount on the lease fee. Furthermore, as shown in Figure 2, leasing companies can also provide analysis results of company data and perform consulting services to data users who are third parties and not manufacturers or users. This was something that was unthinkable for traditional 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 period stipulated in the contract by paying a fixed amount, and is often used for magazine subscriptions, Internet communication services, mobile phone plans, software usage fees, etc. 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, a subscription contract is made, and the usage fee is paid in one lump sum.

[0024] In this system, intangible subscription items can also be leased items. Therefore, in this specification, subscriptions are also included in leases. However, for copyrighted items, the copyright is assumed to have been assigned to the leasing company or a license has been granted. 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, for example, that "your data is in demand in the market, so by making it accessible 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. In this way, we can turn this system into an "IoT data platform" that goes beyond just data derived from leases. In addition, if we find 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 correlations that have significant value. In other words, analyze all combinations of data stored on the platform, memorize combinations of data that have been found to have significant correlations, and periodically publish these combinations. In this way, new users can be attracted. By constantly memorizing and disseminating information, it also has the effect of encouraging 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 the data owner the right to make it public. If the desired data cannot be transmitted, we will add IoT devices capable of outputting the data to our lineup of leasing products.

[0029] (Package-type lease proposal function) Figure 3 is a diagram for explaining package-type leasing. In conventional leasing, users are free to choose the facilities and equipment to be used, but package-type leasing provides multiple expected facilities and equipment in advance as a package. For example, a set of conference room equipment (PC, display, speaker, microphone, whiteboard, recording camera) is leased as a package. If there is equipment whose usage is increasing, it is possible to offer other package-type leasing users a package lease by rearranging the lease of the equipment whose usage is increasing. In addition, wireless displays, electronic whiteboards, wireless speakers, etc. can be proposed as conference room equipment. When proposing a package, data on multiple devices leased together can be used as a reference. Package-type leasing makes it possible to obtain data on multiple facilities of the same company. Package-type leasing also makes it possible to offer discounts on leasing fees.

[0030] (Specific proposals for data utilization) Figure 4 is a diagram showing a proposal for data utilization of 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 here. In other words, as shown in the figure, a leasing company can accumulate tractor running 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), weather data (not shown), etc., and utilize 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, vital data such as body temperature, blood pressure, heart rate, and blood sugar level of a mother cow about to give birth can be obtained from IoT devices attached to or embedded in the cow, and the health condition of the calf immediately after giving birth can be predicted, preventing accidents such as the death of a calf shortly after giving birth, and maximizing the efficiency of the livestock industry. In addition, the coloring of crops in agricultural areas, soil condition, temperature, wind direction, etc. can be monitored using sunlight data, weather data, wind data, tractor running data, aircraft flight data, etc., and the location and timing of spraying pesticides can be optimized to reduce the amount of pesticide used, contributing to the full automation of agricultural work that maximizes the harvest. In addition, the location of schools of fish can be accurately tracked using images of the sea surface from an aircraft, flight data, ship operation data, etc., leading to the full automation of fishing that maximizes the catch. All of these things that a single company would never be able to achieve can be achieved by building a platform that combines various IoT data obtained from various devices leased by a leasing company.

[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 to leasing companies, and (3) being able to gain correlation with market data.

[0034] In addition, the benefits for leasing companies are: (1) large amounts of diverse data can be obtained due to the variety of products handled and the large number of trading companies; (2) the ability to lease multiple devices at the same time; (3) the ability to provide the data obtained here to manufacturers or external consultants, allowing them to use the data 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 blocks of this system) A 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 roughly 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 an IoT device incorporated in or added to the leased property, and accumulates 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 be connected to the Internet). The IoT data received here includes the operating status of the device, detailed data during operation, images from the built-in camera, and failure data, which will be described in detail later.

[0039] The data storage request receiving means 112 receives requests to store data 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 on devices not owned by the leasing company, and is data on devices for which a lease is newly started or data is to be acquired. The data sales receiving means 113 receives sales from users, manufacturers, data users, and other businesses of data on IoT devices not owned by the leasing company. If the device desired to be leased is not compatible with IoT, it is also possible to propose leasing the device as a set with an IoT device that can be locally connected.

[0040] The lease information storage means 120 is a database that stores IoT data received from the user 20 (user terminal), and stores the device type, device ID, user ID during lease, lease period, type of IoT data, data on actual use of the device, installation location, etc. (See FIG. 6 for a specific example). The lease information storage means 120 may be classified into the user company's industry, size, region, etc. The CAN (Controller Area Network) data in FIG. 6 is a standard positioned as a standard protocol for automobile LAN standardized by ISO11898, and it is possible to obtain data such as door opening, warper operation, brake operation, steering operation, etc.

[0041] The public / private setting means 125 has a function that allows the data provider (and possibly the leasing company) to set whether or not the data stored in the lease information storage means 120 is to be made public to the outside. The public / private setting may be set for each data when it is received, or for each item of data. For example, in the example of FIG. 6, the user name, lease period, etc. can be set to be private, and other items can be set to be public. This setting can be changed by the data provider at any time even after the data is provided. It is also possible to set the destination to which the data is to be made public, the period of public disclosure, etc. As a result, even if the data is made public, it is made within the permitted range. 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 is not entirely automatic, but may be made by presenting analysis data that will serve as a reference for a human to ultimately determine the "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 discounts the lease fee for the user 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 a 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 equipment 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 recognized to have a significant correlation, and periodically publishes the data combinations. This correlation analysis may be performed regardless of field or equipment. 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, in an office, cases where a copy machine, a telephone, and a personal computer are leased simultaneously from the same user are extracted, and the tendency for a specific combination of devices to be leased simultaneously is extracted, and the probability is calculated. Also, as with the PC mentioned above, a combination of specific hardware and specific software is considered to have a high correlation. By extracting such correlations, unexpected combinations can be discovered.

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

[0048] The above is the end of the explanation of Fig. 5 and Fig. 6, but the functional configuration of the present system described above is merely an example, and one functional block (database and functional processing unit) may be divided, or multiple functional blocks may be combined to form one functional block. Each functional processing unit is realized by a computer program executed by a CPU (Central Processing Unit) built into the device, which reads a computer program stored in a storage device such as a ROM (Read Only Memory), a flash memory, an SSD (Solid State Drive), or a hard disk. That is, each functional processing unit is realized by this computer program reading and writing necessary data such as tables from a database (DB; Data Base) stored in a storage device or a storage area on a memory, and, in some cases, controlling related hardware (for example, an input / output device, a display device, a communication interface device). In addition, the database (DB) in the embodiment of the present invention may be a commercial database, but it also means a simple collection of tables and files, and the internal structure of the database itself is not important.

[0049] (Processing flow) The processing of this system will be described in more detail below with reference to 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 the input and output of each step is not lost.

[0050] FIG. 7 is a diagram showing a flow of the accumulation process and the publication process of the lease information of this system. First, in step S10, the lease management device 100 (hereinafter, simply the management device) of this system acquires a list of leased objects (including intangible objects) under lease contract. Next, in step S11, it is checked whether the equipment of the leased object is IoT compatible. IoT compatibility means that the equipment has a function of transmitting data on the equipment status and data acquired from the outside to the outside via the Internet. In the case of an IoT-compatible equipment, in step S12, data is acquired directly from the equipment. If the leased object is not IoT-compatible, the process proceeds to step S13, where it is checked whether there is an IoT-compatible equipment in the surrounding equipment. If there is no IoT-compatible equipment in the surrounding equipment, nothing is done here, and the process jumps to step S21, where the process proceeds to checking the next unprocessed equipment. If there is an IoT-compatible equipment in the surrounding equipment, in step S14, data is acquired from the peripheral equipment.

[0051] Here, peripheral devices refer to devices that can acquire the status of devices that are not IoT compatible. For example, if one of multiple devices leased as a package can locally acquire the status data of other devices that cannot be connected to the Internet, that network device is a peripheral device. Also, if the leased item is software or electronic content, the PC on which the software or content is installed is 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 stored until a specified timing (for example, at a certain time every day, or once a week) arrives (step S17), and the unsent data stored up to that point is sent 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 and 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 there are data transmission conditions 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 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 the data user may not necessarily require the same detailed data as the data required by the manufacturer, etc.

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

[0055] Fig. 8 is a diagram showing a processing flow for analyzing the data value and relative relationship of the lease information of this system. First, in step S30, the management device reads out data from the lease information storage means 120. Then, in step S31, the data value score is updated according to the access frequency of the data and the desire to store the data. The data value score is an index representing 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] The management device then analyzes all combinations of the stored data in step S32, and extracts combinations of data that are recognized to have significant correlations. A significant correlation is, for example, a correlation that exceeds the expected range in data of devices used at the same time, data of devices used exclusively, data of devices depending on the season or weather, data of devices that show clear differences depending on the region, etc.

[0057] The management device further checks in step S33 whether the same user leased multiple devices at the same time. If this condition is met, the process proceeds to step S34, but 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 lease items (lease equipment) from the accumulated data (lease information usage data). For example, even items that are considered to be in different fields, such as PCs and massage machines, 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 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 FIG. 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 be performed in separate processes. This concludes the explanation of FIG. 8.

[0060] (Effects of the embodiment) The effects of this system are summarized below. This system can provide a new platform that utilizes IoT technology for leasing services. This system is realized by a management device that serves as the core of the system. Specifically, the management device acquires leasing information from leased IoT devices, accumulates it in a storage means, and analyzes the value of the accumulated data or the correlation of the data. In addition, the management device can set whether data related to the leasing information is public or private, notify the manufacturer or user of the leased property of the private data, and publish data that is permitted to be published to the outside within the permitted scope. Here, the leased property may be an intangible object such as software.

[0061] Furthermore, by analyzing the lease information, the value of the stored data can be determined according to the frequency with which the data was accessed from outside and the number of requests to store that type of data. Also, by checking whether the same user leased multiple devices at the same time, data on the correlation between devices can be extracted. Either way, the added value of the stored data can be increased.

[0062] In addition, by accepting requests to accumulate data from outside, the system can promote the introduction of new leased properties and the conversion of non-IoT-compatible devices to IoT, depending 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 are intended to make up for the shortage of leasing capacity.

[0063] In the above embodiment, leasing has been mainly described, but the mechanism of the present invention can 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 the equipment at the request of the user, or whether the leasing company rents out the equipment it already owns, and the rental period.

[0064] Although the present invention has been described above using the 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 is clear to those skilled in the art that various modifications or improvements can be made to the above embodiments. In addition, it is clear from the claims that such modifications or improvements can also be included in the technical scope of the present invention. In the above embodiments, the present invention has been described as an invention of a product, namely, a lease management device, but the present invention can also be considered as an invention of a method (lease management method) or a computer program. [Explanation of symbols]

[0065] 10. Manufacturers 20 users 21 Lease 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 reception method 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 Dissemination 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 lease object from an IoT device incorporated in or added to the lease object 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, A lease management system characterized in that the lease information analysis means determines the value of the lease information data based on the access frequency of the accumulated lease information and the number of requests for data accumulation of the same type of lease property.

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 object of the non-public data and publishing the public data to the outside within a permitted range; 2. The lease management system according to claim 1, further comprising a data storage request receiving means for receiving requests for storing data relating to leased properties from said users, said manufacturers, and other data users.

3. 3. The lease management system according to claim 2, further comprising lease fee discount calculation means for calculating a discount amount of the lease fee as compensation for the data provided by the user or based on the value of the data.

4. The lease information analysis means analyzes the accumulated data in every combination and extracts combinations of data that are recognized to have a significant correlation, or, when the same user leases multiple devices for the same period, extracts correlations between data of the multiple devices based on usage data of the leased items.

5. 3. The lease management system according to claim 2, further comprising a data sales receiving means for receiving sales of data relating to lease properties from said user, said manufacturer, said data user, and other businesses.

6. The lease management system according to any one of claims 1 to 5, characterized in that the leased property includes software and electronic content.

7. 1. A lease management method for managing leased property, comprising: receiving lease information of the lease object from an IoT device incorporated in or added to the lease object 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; The analyzing step includes a step of determining the value of the data of the lease information according to an access frequency of the accumulated lease information and a number of requests for data accumulation of the same type of lease property; A lease management method comprising the steps of:

8. A program causing a computer to execute the steps recited in claim 7.

Images