A rental trust solution method with a smart home system based on blockchain

Abstract

A rental trust solution with a smart home system based on blockchain, comprising the following steps: S1: Tenants, landlords, and other users all register and join the blockchain system; and connect the housing source information system, the smart home system, and the blockchain system; S2: The blockchain system provides basic points for tenants and other users; S3: Rate and continuously update the housing sources in the housing source information system; continuously update the points of tenants and other users; S4: Implement rewards and punishments for tenants or other users according to their point situations; implement reward measures for landlords according to the rating situations of the housing sources. Through the above solution, the transparency of rental information is improved, and the interests of landlords and tenants are maximized.

Description

Technical Field

[0001] The present invention relates to the technical field of rental housing, and particularly relates to a rental housing trust solution method with a smart home system based on blockchain. Background Art

[0002] There is no good communication channel between renters and landlords. Relying on the centralized platform built by housing agencies to conclude rental contracts requires payment of agency fees, which is a significant expense for wage earners. At the same time, most rental agencies and landlords, for their own interests or to avoid malicious damage to the home furnishings by renters, require payment of a deposit, which will undoubtedly increase the economic burden on wage earners.

[0003] In addition, some basic information about the rented house is not transparent. For example, the actual rental price. Since renters are not professionals in housing price assessment, they cannot obtain the actual price. At the same time, with the advent of intelligence, the house will inevitably use some smart home appliances. Such service appliances will also be included in the attached value and become a part of the rent. However, as renters continue to use them, their related attached value will decrease, but housing agencies will package them as new to increase the rent. Summary of the Invention

[0004] The present invention aims at the deficiencies in the prior art and provides a rental housing trust solution method with a smart home system based on blockchain.

[0005] To achieve the above object, the present invention adopts the following technical solutions:

[0006] A rental housing trust solution method with a smart home system based on blockchain, comprising the following steps:

[0007] S1: Renters, landlords, and other users all register and join in the blockchain system; and connect the housing source information system and the smart home system to the blockchain system;

[0008] S2: The blockchain system provides basic points for renters and other users;

[0009] S3: Score the housing sources in the housing source information system and continuously update; continuously update the points of renters and other users;

[0010] S4: Implement reward and punishment measures for renters or other users according to their point situations; implement reward measures for landlords according to the scoring situations of the housing sources.

[0011] To optimize the above technical solutions, the specific measures taken further include:

[0012] Further, the specific steps of step S3 are:

[0013] S3.1: The blockchain system obtains the ratings given by tenants and other users to the housing unit during a certain time period, and calculates the overall rating of the housing unit during this time period;

[0014] S3.2: The blockchain system updates the current overall rating of the housing unit;

[0015] S3.3: The blockchain system determines whether there is any malicious rating behavior by the tenant node or other nodes; reduces the points of the tenant node or other nodes with malicious ratings, and increases the points of the tenant node or other nodes without malicious ratings; and uses the updated points in the next rating;

[0016] S3.4: Repeat steps S3.1 - S3.3 to continuously update the rating of the housing unit.

[0017] Furthermore, the other nodes include the property management system of the housing unit and the nearby residents of the housing unit.

[0018] Furthermore, the specific method for calculating the overall rating of the housing unit during this time period in step S3.1 is as follows:

[0019] PavgN = (P1 * S1 + P2 * S2 + P3 * S3 +... + Pn * Sz + Pz * Sz) / (S1 + S2 + S3 +... + Sn + Sz)

[0020] In the formula, PavgN represents the overall rating obtained by the housing unit in the Nth time period; S1 represents the points of the first tenant or other user, P1 represents the rating given by the first tenant or other user; S2 represents the points of the second tenant or other user, P2 represents the rating given by the second tenant or other user; S3 represents the points of the third tenant or other user, P3 represents the rating given by the third tenant or other user; Sn represents the points of the nth tenant or other user, Pn represents the rating given by the nth tenant or other user; Sz represents the points of the smart home system in this housing unit, Pz represents the rating given by the smart home system in this housing unit; where: Sz = (S1 + S2 + S3 + S4 +... + Sn) / n.

[0021] Furthermore, the specific method for updating the current overall rating of the housing unit in step S3.2 is as follows:

[0022] PavgN′ = (Pavg1 + Pavg2′ + Pavg3′... + Pavg(N - 1)′ + PavgN) / N

[0023] Wherein, PavgN′ represents the overall score of the housing source after the Nth update from the beginning; Pavg1 represents the score obtained by the housing source in the first time period; Pavg2′ represents the overall score of the updated housing source after the first and second time periods; Pavg3′ represents the overall score of the updated housing source after the first to third time periods; PavgN represents the overall score just obtained by the housing source in the Nth time period in step 2.

[0024] Further, the specific way for the blockchain system in step S3.3 to determine whether there is malicious scoring by the tenant node or other nodes is as follows: the blockchain system determines whether the score of the user node or other nodes is within an interval centered on the threshold a; if it is not within this interval, it is determined as malicious scoring;

[0025] Where the threshold a is the natural scoring threshold evaluated by the smart home system according to the collected information.

[0026] Further, the specific way for the rewards and punishments in step S4 according to the integral situation of the tenant or other users is as follows:

[0027] When the integral of the tenant or other users is reduced to 0, the tenant or other users no longer have the scoring permission;

[0028] When the integral of the tenant or other users reaches the specified excellent threshold, rental tokens are issued to them; the rental tokens are used to reduce the rental fee or preferentially obtain rental recommendations.

[0029] Further, the specific way for the reward measures for the landlord in step S4 according to the scoring situation of the housing source is as follows:

[0030] When the score of the housing source corresponding to the landlord reaches the specified excellent threshold, landlord tokens are issued to the landlord; the landlord tokens are used to make the housing source be preferentially recommended or improve the personal social credit of the landlord.

[0031] The beneficial effects of the present invention are:

[0032] The blockchain nodes mainly include: tenants (current tenants and previous tenants), landlords, government affairs center systems and other nodes (which can be property management or nearby residents)

[0033] 1. Utilize the decentralization of the blockchain and the mutual restraint of each distributed node to remove the centralized node of the housing intermediary in the previous rental system. Therefore, the control right of the house is decentralized to the tenants and landlords who are directly related to renting. Because they are directly related, each node will be more active in maintaining it, saving a certain amount of agency fees or deposits generated by using an intermediary to achieve the purpose of renting.

[0034] 2. Due to the existence of the smart home system, home information related to renting has become extremely easy to collect. Utilize the immutable feature of blockchain to collect and store the changes of these data on the chain, which is a key point for evaluating rental prices. As tenants continue to use it, its related attached value will also decrease, preventing real estate agents from packaging it as brand new to increase rent.

[0035] 3. By adopting incentive measures for landlords, other interests of landlords can be improved (in order to obtain other interests, to a certain extent, it promotes landlords to give up the deposit); by adopting incentive measures for tenants, the rent pressure on tenants can be reduced. Brief Description of the Drawings

[0036] Figure 1 It is a schematic diagram of the overall process structure of the present invention. Detailed Embodiment

[0037] Now, the present invention will be further described in detail with reference to the accompanying drawings.

[0038] The present application adopts the following technical solutions:

[0039] The present invention involves two aspects: the Internet of Things and blockchain. With the continuous maturity of these two technologies, it will surely bring a technological revolution to the housing rental aspect. Blockchain and Internet of Things technologies will make future rental life more intelligent. With the advent of the 5G era, the improvement of the interactive information rate will contribute to the "Internet of Everything" for smart rental and smart home.

[0040] The present invention includes tenant nodes, landlord nodes, government affairs center system nodes, and other nodes; each node is included in the blockchain system, and the blockchain system is also connected to the housing source information system, smart home system, and smart electronic contract system.

[0041] The blockchain system is an interactive platform for the above content. Tenants can send rental requests, rate housing sources, store tenant points, ratings, etc. through the blockchain system; landlords can sign contracts with tenants and store landlord information through the blockchain system; the government affairs center system can issue subsidies to tenants through the blockchain system; other nodes can rate housing sources and store the points and ratings of the property system and nearby residents through the blockchain system.

[0042] The housing source information system is used to provide the housing source information of landlords for the blockchain system; the smart home system is used to provide the usage information of smart homes in the corresponding housing sources for the blockchain system and provide ratings based on the usage information; the smart electronic contract is used to feedback the contract information signed by landlords and tenants to the blockchain system.

[0043] The blockchain system is used to obtain the scores provided by tenant nodes and other nodes in a round of time period, obtain the points of tenant nodes in this round of time period and introduce the points of the smart home system, and analyze the scores of housing sources obtained in this round of time period according to the points and scores of tenant nodes, the points and scores of other nodes, and the points and scores of the smart home; update the overall score of the housing source according to the scores of the housing source obtained in this round of time period; at the same time, the blockchain system is also used to provide basic points for tenant nodes and other nodes, judge the malicious scores of tenant nodes and other nodes, and update the points of tenant nodes and other nodes according to the malicious scores.

[0044] The following is illustrated with specific embodiments.

[0045] Step1: Tenants, landlords, the government affairs center system and other nodes register and join the chain.

[0046] Step2: The tenant sends a rental request to the blockchain system. The system matches many relevant housing sources according to the rental location and price. The situation of each housing source is written into the nodes by the landlord, previous tenants and other nodes, and their own scores are given according to the situation. At the same time, each node has its own points. The points of its own node depend on the correctness of its evaluation of the housing source. If the provided housing source evaluation is true and valid, the points will increase. If the evaluation of the housing source is wrong or malicious, the points will decrease.

[0047] Step3: The tenant selects a suitable housing source, reaches an agreement with the landlord and signs a contract. Because all aspects of the situation are collected by the smart home in real time and uploaded to the chain, and are jointly authenticated by the tenant and the landlord, for renting a house, the deposit, which is paid based on the lack of trust between the two parties, can theoretically be free because the content of the blockchain is added with the recognition of the nodes.

[0048] Step4: At the same time, after the contract is signed, use the smart contract system to delete the current housing source information and upload the relevant information to the chain.

[0049] Step5: In this way, the government affairs node system can view the relevant contract information on the chain and realize the automatic payment of subsidies according to the relevant rental subsidy information and the conditions stipulated in the smart contract.

[0050] The key scoring algorithm is as follows:

[0051] Example:

[0052] Premise: Node A, Node B, Node C and Node D (excluding the government affairs center system node and the landlord node. The government affairs node has no right to evaluate, and the landlord node cannot evaluate itself. The landlord node can submit housing information but has no right to evaluate and vote).

[0053] The integrals of nodes A, B, C, and D are Sa, Sb, Sc, and Sd respectively. The number of nodes participating in the evaluation is 4, and the score is on a 10-point scale. The specific scores given by nodes A, B, C, and D are Pa, Pb, Pc, and Pd. Among them, the data collected according to the smart home system can also be included in the evaluation system. His integral Sz is set as:

[0054] Sz = (Sa + Sb + Sc + Sd) / 4

[0055] The smart home system is evaluated as Pz according to the collected housing conditions. So the evaluation obtained in the first round is:

[0056] Pavg1 = (Pa * Sa + Pb * Sb + Pc * Sc + Pd * Sd + Pz * Sz) / (Sa + Sb + Sc + Sd + Sz)

[0057] If a certain node gives a false evaluation, then its integral will decrease. For example, if this is node B, then the integrals of nodes A, B, C, and D are Sa, Sb’, Sc, and Sd respectively. The specific scores given by nodes A, B, C, and D are Pa, Pb, Pc, and Pd. Among them, the data collected according to the smart home system can also be included in the evaluation system. His integral is set as:

[0058] Sz’ = (Sa + Sb’ + Sc + Sd) / 4

[0059] The smart home system is evaluated as Pz according to the collected housing conditions. So the evaluation obtained in the second round is:

[0060] Pavg2 = (Pa * Sa + Pb * Sb’ + Pc * Sc + Pd * Sd + Pz * Sz’) / (Sa + Sb’ + Sc + Sd + Sz’)

[0061] The evaluation obtained in the second round is only for the second round. The overall evaluation of the house still needs to average the scores obtained from the first round to the second round. After obtaining the second-round evaluation, the overall score of the house is:

[0062] Pavg2’ = (Pavg1 + Pavg2) / 2

[0063] Among them, there is only one score obtained in the first round, and its score is the overall score of the house, and there is no need to average it.

[0064] The algorithm summary is:

[0065] The nodes participating in vote n have scores S1, S2, S3, S4....Sn respectively. The number of nodes participating in evaluation is n, with a 10-point scoring system. The specific scores given by the nodes are P1, P2, P3, P4...Pn. Among them, the data collected according to the smart home system can also be included in the evaluation system, and his score is set as:

[0066] Sz = (S1 + S2 + S3 + S4 +... + Sn) / n

[0067] The smart home system evaluates as Pz according to the collected housing situation. Therefore, the evaluation obtained in the Nth round is:

[0068] PavgN = (P1*S1 + P2*S2 + P3*S3 +... + Pn*Sz + Pz*Sz) / (S1 + S2 + S3 +... + Sn + Sz)

[0069] The overall score of the house updated after the Nth round is:

[0070] PavgN′ = (Pavg1 + Pavg2′ + Pavg3′... + Pavg(N - 1)′ + PavgN) / N

[0071] It should be noted that: if the score becomes 0 due to multiple false evaluations, the node becomes a malicious node and no longer has the right to vote. At the same time. If the number of correct evaluations increases and reaches a peak, a rental token will be generated. This rental token can only be used to reduce your future rental expenses and obtain rental recommendations preferentially.

[0072] How to solve the problem of the loss caused by the landlord's waiver of the deposit: If the evaluation of the landlord's house is a peak, a token (landlord token) will also be generated. This token will make the house be recommended preferentially and can also be used to offset the loan repayment period of other houses related to the landlord's information and improve the general credit score (the credit score can theoretically allow you to borrow more money from the bank under the same asset mortgage situation).

[0073] How to determine malicious evaluations (including maliciously high and maliciously low): Among them, the threshold a is the natural scoring threshold evaluated by the smart home system according to the collected information. For example, the smart home system collects that the refrigerator has been used for less than 1 year, generating a score of 10, the washing machine has been used for 1 year, generating a score of 9, the air conditioner has been used for 2 years, generating a score of 8...; Therefore, the naturally generated threshold a = (10 + 9 + 8) / 3 = 9; The lowest score is 1 point. (The threshold a can also be a reference value a of a natural evaluation given by a third-party housing source information system according to the housing situation). These are all information recorded by the blockchain and cannot be tampered with. A malicious evaluation refers to within a specified interval above and below this natural evaluation a.

[0074] The advantages of this algorithm are as follows: The evaluation algorithm uses a weighted average, but it has no advantage compared with traditional evaluation algorithms. Even if a smart home system is available, it is only used as a selling point to promote the rental housing. Because the information collected by the smart home can be tampered with, the renters do not fully trust it. However, combined with the immutability of blockchain information, the information collected by this smart home can be used as a weight for evaluation, a regulation parameter for adjusting the evaluation accuracy, and also an average value for voting to eliminate malicious nodes.

[0075] Among them, the smart home system has no basic points. In each round of evaluation, its points change according to the participating renter nodes or other nodes; and the score of the smart home system is given according to the usage situation of the smart furniture. For example, in a 10-point system, if the usage life of the smart furniture is less than 1 year, the score is 10 points; if the usage life is 2 years, the score is 9 points (if there are multiple pieces of furniture, the scores obtained by all furniture are added up and then averaged, and the lowest score is 1 point).

[0076] Among them, refer to Figure 1 . In addition, the smart contract system of the blockchain can immediately update the rental-related information of this housing source after the rental conditions are met, so as to prevent the phenomenon of multiple rentals of the house caused by untimely update of housing information. Furthermore, the openness of the blockchain ensures highly transparent data, so that the government affairs center, as the issuer of housing subsidies, can avoid the misappropriation or false claim of rental subsidies. This makes the rental subsidy issued by the government affairs center system for the rental contract more real, reduces the possibility of misappropriation, and saves losses for the country.

[0077] It should be noted that the terms such as "up", "down", "left", "right", "front", "back", etc. cited in the invention are only for the convenience of clear narration, rather than used to limit the scope of implementation of the present invention. The change or adjustment of their relative relationship, without substantial change in the technical content, should also be regarded as the scope of implementation of the present invention.

[0078] The above is only the preferred implementation mode of the present invention. The protection scope of the present invention is not limited to the above embodiments. All technical solutions within the idea of the present invention belong to the protection scope of the present invention. It should be pointed out that for those of ordinary skill in the art in this technical field, several improvements and refinements made without departing from the principle of the present invention should be regarded as the protection scope of the present invention.

Claims

1. A rental trust solution method based on blockchain with a smart home system, characterized in that, it includes the following steps: S1: Tenants, landlords, and other users all register and join in the blockchain system; and connect the housing source information system, the smart home system with the blockchain system; S2: The blockchain system provides basic points for tenants and other users; S3: Rate the housing sources in the housing source information system and continuously update; continuously update the points of tenants and other users; S4: Implement reward and punishment measures according to the point situation of tenants or other users; implement reward measures for landlords according to the rating situation of the housing sources; The specific steps of step S3 are: S3.1: The blockchain system obtains the ratings given by tenants and other users to the housing sources in a certain round of time period, and calculates the overall rating of the housing sources in this round of time period; S3.2: The blockchain system updates the current overall rating of the housing source; S3.3: The blockchain system determines whether there is any malicious rating phenomenon in the tenant node or other nodes; reduce the points of the tenant node or other nodes with malicious ratings, and increase the points of the tenant node or other nodes without malicious ratings; and use the updated points in the next rating; S3.4: Loop through steps S3.1 - S3.3 to complete the continuous update of the housing source rating; The specific method for calculating the overall rating of the housing source in this round of time period in step S3.1 is: PavgN = (P1*S1 + P2*S2 + P3*S3 +... + Pn*Sz + Pz*Sz) / (S1 + S2 + S3 +... + Sn + Sz) In the formula, PavgN represents the overall rating obtained by the housing source in the Nth round of time period; S1 represents the points of the first tenant or other user, P1 represents the rating given by the first tenant or other user; S2 represents the points of the second tenant or other user, P2 represents the rating given by the second tenant or other user; S3 represents the points of the third tenant or other user, P3 represents the rating given by the third tenant or other user; Sn represents the points of the nth tenant or other user, Pn represents the rating given by the nth tenant or other user; Sz represents the points of the smart home system in this housing source, Pz represents the rating given by the smart home system in this housing source; where: Sz = (S1 + S2 + S3 + S4 +... + Sn) / n.

2. The rental trust solution method based on blockchain with a smart home system according to claim 1, characterized in that, the other nodes include the property system of the housing source and the nearby residents of the housing source.

3. The rental trust solution method based on blockchain with a smart home system according to claim 1, characterized in that, the specific content of updating the current overall rating of the housing source in step S3.2 is: PavgN′ = (Pavg1 + Pavg2′ + Pavg3′... + Pavg(N - 1)′ + PavgN) / N, where PavgN′ represents the overall score of the housing source after the Nth update from the beginning; Pavg1 represents the score obtained by the housing source in the first time period; Pavg2′ represents the overall score of the housing source after the first and second time periods; Pavg3′ represents the overall score of the housing source after the first to third time periods; PavgN represents the overall score just obtained by the housing source in the Nth time period in step 2.

4. A rental trust solution method based on blockchain with a smart home system according to claim 1, characterized in that, the specific way for the blockchain system to determine whether there is malicious scoring by the tenant node or other nodes in step S3.3 is: the blockchain system determines whether the score of the user node or other nodes is within an interval centered on the threshold a; if it is not within this interval, it is determined as malicious scoring; where the threshold a is a natural scoring threshold evaluated by the smart home system according to the collected information.

5. A rental trust solution method based on blockchain with a smart home system according to claim 1, characterized in that, the specific way for the reward and punishment measures to be taken according to the integral situation of the tenant or other users in step S4 is: when the integral of the tenant or other users decreases to 0, the tenant or other users no longer have the scoring permission; when the integral of the tenant or other users reaches the specified excellent threshold, rental tokens are issued to them; the rental tokens are used to reduce the rental fee or preferentially obtain rental recommendations.

6. A rental trust solution method based on blockchain with a smart home system according to claim 1, characterized in that, the specific way for the reward measures to be taken for the landlord according to the scoring situation of the housing source in step S4 is: when the score of the housing source corresponding to the landlord reaches the specified excellent threshold, landlord tokens are issued to the landlord; the landlord tokens are used to make the housing source be preferentially recommended or improve the personal social credit of the landlord.

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