Real estate rental monitoring system based on Internet of Things

Abstract

The invention discloses a real estate leasing monitoring system based on Internet of Things, which relates to the technical field of intelligent management, comprises an analysis module, an execution module and an evaluation module, and is characterized in that a first operation is executed according to a leasing contract, a second operation is executed according to a first analysis result, and an information link is generated according to a second analysis result; and executing a third operation according to the second analysis result, and re-evaluating the real estate value according to a fourth operation. By automatically calling the lease contract, analyzing the facility state, updating the lease information and adjusting the rent, the management efficiency is improved, the timeliness and the accuracy of lease management are ensured, the lease contract information can be updated in time, the accuracy and the real-time performance of the lease state are ensured, the real estate value is re-evaluated, the rent is adjusted, and the lease management efficiency is improved. The scientificity and rationality of rent pricing are improved, so that the tenants can clearly understand various expenses and facility states in the leasing process, and the satisfaction degree of the tenants is improved.

Description

Technical Field

[0001] The present invention relates to the technical field of intelligent management, and particularly to an Internet of Things-based real estate lease monitoring system. Background Art

[0002] In recent years, in real estate leasing, the application of Internet of Things devices and sensors has become increasingly widespread. The Internet of Things technology can collect a large amount of data generated during the real estate leasing process in real time, and transmit the data to the cloud or management platform through communication modules such as 5G. With the help of the Internet of Things and big data analysis technology, leasing enterprises can achieve intelligent monitoring and early warning of real estate leasing.

[0003] Currently, in the Chinese invention patent with the publication number CN119205286A, a real estate lease management system is disclosed. This method improves the inspection speed and accuracy of contract compliance by automatically reviewing key financial terms in the contract and comparing them with regulatory standards. The process of automatic identification and comparison reduces the necessity of relying on manual operations, thereby reducing management errors and costs. Through optimized resource and time management, key links of the lease cycle are effectively arranged and adjusted, thus significantly improving the operation efficiency. The analysis of tenant credit data and credit risk prediction makes risk management more precise, reducing the possibility of overdue and default. However, in the related technology, the status of equipment in the real estate is not evaluated and the responsibility is not recovered, lacking the comprehensiveness of lease monitoring management, and the rent is not adjusted within a reasonable range according to the maintenance cost, which is not conducive to the economy of leasing and has certain limitations. Summary of the Invention

[0004] The technical problem solved by the present invention is that in the related technology, the status of equipment in the real estate is not evaluated and the responsibility is not recovered, lacking the comprehensiveness of lease monitoring management, and the rent is not adjusted within a reasonable range according to the maintenance cost, which is not conducive to the economy of leasing and has certain limitations.

[0005] To solve the above technical problem, the present invention provides the following technical solution: An Internet of Things-based real estate lease monitoring system, including an analysis module, an execution module, and an evaluation module; The analysis module retrieves the lease contract according to the real estate code, performs a first operation according to the lease contract, in response to the first operation, performs a first analysis on the facilities, and performs a second operation according to the first analysis result; The execution module, in response to the first operation, performs a second analysis on the lease status, generates an information link according to the second analysis result, updates and stores the lease contract according to the information link, and performs a third operation according to the second analysis result; The evaluation module performs a fourth operation based on the result of the second operation, re-evaluates the real estate value according to the fourth operation, and adjusts the rent according to the re-evaluation result.

[0006] As a preferred solution of the Internet of Things-based real estate lease monitoring system described in the present invention, wherein: the first operation includes retrieving monitoring data and verifying the lease status, and the second operation includes asset transfer warning, asset replacement warning, and asset maintenance management; The monitoring data is based on the Internet of Things platform and is obtained based on a pre-established sensor network and gateway device, and the sensors are set at predetermined positions of the real estate; The sensor network is periodically powered on for testing. When the communication is fault-free, the collected data is automatically cleaned and standardized through the gateway link and stored in the device end of the cloud server; When the communication is faulty, a maintenance report is sent, and during the maintenance process, the data is transmitted through the standby gateway link, and at the same time, the data operations when the communication is fault-free are repeated on the standby gateway link; The cloud server is configured with an associated link, and through the associated link, the device end and the management end are connected. The management end stores real estate codes, lease contracts, and charge bills.

[0007] As a preferred solution of the Internet of Things-based real estate lease monitoring system described in the present invention, wherein: the analysis module obtains the real estate code and searches for the corresponding lease contract in the management end according to the real estate code; Perform the first operation according to the lease contract. The setting logic of the first operation includes: Obtain the lease contract. The storage form of the lease contract is a picture. The lease contract is divided into individual sub-pictures. The date is set as the keyword. The first feature quantity of the keyword is extracted, and the second feature quantity of any sub-picture is extracted. The first feature quantity and the second feature quantity are represented as shape feature quantities. Calculate the first similarity between the first feature quantity and the second feature quantity. Set the first value as the similarity threshold. Compare the first similarity with the first value. When the first similarity is greater than or equal to the first value, set the sub-picture as the key picture. When the first similarity is less than the first value, jump to the next sub-picture; Obtain the content in the key picture and set the content standard. The content standard includes year, month, and day. When the content in the key picture is inconsistent with the content standard, obtain the content of the sub-picture on the right of the key picture and supplement the content. Set the content in the supplemented key picture as the first time point. When the content in the key picture is consistent with the content standard, record the content in the key picture as the first time point; Obtain the standard lease duration, calculate the weighted calculation of the standard lease duration and the first time point to obtain the second time point, obtain the current time point, and compare the second time point with the current time point; When the second time point is before the current time point, set the first operation to verify the lease status; When the second time point is after the current time point, set the first operation to retrieve monitoring data.

[0008] As a preferred solution of the real estate lease monitoring system based on the Internet of Things according to the present invention, wherein: when the first operation is to retrieve monitoring data, in response to the first operation, perform a first analysis on the facilities to obtain monitoring data, and the monitoring data includes temperature, vibration intensity, and output power; Obtain any device name, the corresponding device number, and the corresponding device location, retrieve the device database, input the device name into the device database, and match the standard parameter range corresponding to the device name, and the standard parameter range includes a standard temperature range, a standard vibration intensity range, and a standard output power range; Obtain the real estate location range, perform a first comparison between the device location and the real estate location range. When the device location is not distributed within the real estate range, set the second operation to asset transfer warning. When the device location is distributed within the real estate range, perform a second comparison.

[0009] As a preferred solution of the real estate lease monitoring system based on the Internet of Things according to the present invention, wherein: the second comparison includes: Compare the monitoring data with the corresponding standard parameter range, count the first quantity of the monitoring data distributed within the corresponding standard parameter range, and count the second quantity of the monitoring data not distributed within the corresponding standard parameter range. When the first quantity is greater than the second quantity and the second quantity is not 0, set the second operation to asset maintenance management and send the device number. When the second quantity is 0, do not perform the second operation. When the first quantity is less than the second quantity, set the second operation to asset replacement warning. The data not being distributed means that the data is greater than or equal to the upper limit of the standard parameter range, or means that the data is less than or equal to the lower limit of the standard parameter range.

[0010] As a preferred solution of the real estate lease monitoring system based on the Internet of Things according to the present invention, wherein: when the first operation is to verify the lease status, in response to the first operation, perform a second analysis on the lease status, and the second analysis result represents the payment status of the user. Perform a third operation according to the second analysis result, and the third operation includes updating the lease contract and jointly analyzing the charge bill and the monitoring data.

[0011] As a preferred solution of the real estate rental monitoring system based on the Internet of Things described in the present invention, wherein: a charging bill is obtained from the management end, and monitoring data is obtained from the device end; Obtain a second time point of the most recent charging record in the charging bill, count the first time interval between the second time point and the current time point, and when the first time interval is less than or equal to the prepayment time period, set the user's payment status to paid; when the first time interval is greater than the prepayment time period, set the user's payment status to unpaid, and the prepayment time period represents a renewal time period corresponding to the prepaid rent of the user; When the user's payment status is set to paid, the third operation is set to update the lease contract; when the user's payment status is set to unpaid, the third operation is set to perform a joint analysis of the charging bill and the monitoring data.

[0012] As a preferred solution of the real estate lease monitoring system based on the Internet of Things described in the present invention, when the third operation is set to update the lease contract, an information link is provided to the management end, a new lease contract is generated to the management end in the information link, and the new lease contract is stored in the management end, and the date in the new lease contract is updated to the second time point; When the third operation is to jointly analyze the charging bill and the monitoring data, the monitoring data is obtained, and when the monitoring data is not 0, a notification of overpayment of rent is sent to the user; When the monitoring data is 0, the real estate status is updated to a to-be-rented status, and the real estate information is republished on the rental platform.

[0013] As a preferred solution of the real estate leasing monitoring system based on the Internet of Things described in the present invention, wherein: the fourth operation includes asset recovery, asset depreciation and maintenance cost accounting; Asset transfer warning, asset replacement warning and asset maintenance management correspond to asset recovery, asset depreciation and maintenance costs respectively; The asset recovery is achieved based on the location of the equipment, the asset depreciation is achieved through the second-hand sale of faulty equipment, and the depreciation income is counted, and the maintenance costs are achieved by dispatching maintenance personnel, and the maintenance personnel expenses and maintenance material purchase expenses are counted.

[0014] As a preferred solution of the real estate leasing monitoring system based on the Internet of Things described in the present invention, the logic of re-evaluating the real estate value according to the fourth operation includes: Calculate the first sum of depreciation income, maintenance personnel expenses and maintenance material purchase expenses, where depreciation income is a positive value and maintenance personnel expenses and maintenance material purchase expenses are negative values. Calculate the first sum and the first ratio of the prepayment time period, perform weighted calculation on the first ratio and the original rent to obtain a new rent, and update it in the new lease contract based on the new rent.

[0015] Beneficial effects of the present invention: through the collaborative work of the analysis module, the execution module and the evaluation module, the system can automatically retrieve the lease contract, analyze the facility status, update the lease information and adjust the rent, which greatly reduces manual intervention and improves management efficiency. It can respond to various operations in the lease process in real time, analyze the facility status in time, and quickly execute subsequent operations based on the analysis results to ensure the timeliness and accuracy of lease management. According to the lease contract, a detailed first analysis of the facilities can be performed, and the use and damage of the facilities can be accurately identified, thereby providing a basis for subsequent maintenance and management. According to the first operation, a second analysis of the lease status can be performed, and an information link can be generated. The lease contract information is updated in time to ensure the accuracy and real-time nature of the lease status. The value of the real estate is re-evaluated, and the rent is adjusted according to the re-evaluation results. The dynamic adjustment mechanism can ensure that the rent matches the actual value of the real estate, improve the scientificity and rationality of rent pricing, and the real-time update of the lease contract and the dynamic adjustment of the rent enable tenants to clearly understand the various expenses and facility status in the lease process, thereby improving tenant satisfaction. BRIEF DESCRIPTION OF THE DRAWINGS

[0016] Figure 1 A basic flow chart of a real estate rental monitoring system based on the Internet of Things is provided for one embodiment of the present invention. DETAILED DESCRIPTION

[0017] In order to make the above-mentioned objects, features and advantages of the present invention more obvious and easy to understand, the specific implementation methods of the present invention are described in detail below in conjunction with the drawings. It is obvious that the described embodiments are only part of the embodiments of the present invention, but not all of the embodiments.

[0018] Example, see Figure 1 , as an embodiment of the present invention, provides a real estate leasing monitoring system based on the Internet of Things, including an analysis module, an execution module and an evaluation module; The analysis module retrieves the lease contract according to the real estate code, performs a first operation according to the lease contract, performs a first analysis on the facility in response to the first operation, and performs a second operation according to the first analysis result; an execution module, in response to the first operation, performing a second analysis on the lease status, generating an information link according to the second analysis result, updating and storing the lease contract according to the information link, and performing a third operation according to the second analysis result; The evaluation module performs a fourth operation based on the result of the second operation, re-evaluates the real estate value according to the fourth operation, and adjusts the rent according to the re-evaluation result.

[0019] Through the collaborative work of the analysis module, execution module and evaluation module, the system of the present invention can automatically retrieve lease contracts, analyze the status of facilities, update lease information and adjust rent, greatly reducing manual intervention and improving management efficiency. It can respond in real time to various operations in the leasing process, analyze the status of facilities in a timely manner, and quickly execute subsequent operations according to the analysis results to ensure the timeliness and accuracy of lease management. It can conduct a detailed first analysis of the facilities according to the lease contract, accurately identify the usage and damage conditions of the facilities, etc., so as to provide a basis for subsequent maintenance and management. It can conduct a second analysis of the lease status according to the first operation, generate an information link, and update the lease contract information in a timely manner to ensure the accuracy and timeliness of the lease status. It re-evaluates the real estate value and adjusts the rent according to the re-evaluation result. The dynamic adjustment mechanism can ensure that the rent matches the actual value of the real estate, improving the scientificity and rationality of rent pricing. The real-time update of the lease contract and the dynamic adjustment of the rent enable tenants to clearly understand the various fees and the status of facilities in the leasing process, enhancing tenant satisfaction.

[0020] The first operation includes retrieving monitoring data and verifying the lease status, and the second operation includes asset transfer warning, asset replacement warning and asset maintenance management; The monitoring data is based on the Internet of Things platform and is obtained based on a pre-established sensor network and gateway device. The sensors are set at predetermined positions of the real estate. The sensor network is regularly powered on for testing. When the communication is fault-free, the collected data is automatically cleaned and standardized through the gateway link and stored in the device end of the cloud server. When the communication is faulty, a maintenance report is sent, and during the maintenance process, the data is transmitted through the backup gateway link. At the same time, the data operations when the communication is fault-free are repeated on the backup gateway link. The cloud server is configured with an associated link. Through the associated link, the device end and the management end are connected. The management end stores real estate codes, lease contracts and charge bills.

[0021] In specific implementation, the sensor network and gateway device automatically collect and process data, reducing manual operations, improving the efficiency and accuracy of data collection, enabling real-time monitoring of device status and rental status, and sending early warnings in a timely manner. The management personnel can respond quickly, reducing equipment damage and rental disputes. Remote monitoring is achieved through Internet of Things technology, reducing the frequency and cost of manual inspections. Maintenance and replacement are arranged according to the actual operating status of the equipment, avoiding over-maintenance or equipment damage and reducing maintenance costs. When a communication failure occurs, the standby link is automatically switched to ensure the continuity of data transmission and avoid data loss. The rental status and equipment status can be viewed in real time through the management terminal, increasing the transparency of the rental process. Through regular power-on tests and a fault warning mechanism, problems can be discovered and solved in a timely manner to ensure the stable operation of the system.

[0022] The analysis module obtains the real estate code and searches for the corresponding lease contract in the management terminal according to the real estate code; Perform a first operation according to the lease contract. The setting logic of the first operation includes: Obtain the lease contract. The storage form of the lease contract is a picture. Divide the lease contract into individual sub-pictures. Set the date as the keyword, extract the first feature quantity of the keyword, and extract the second feature quantity of any sub-picture. The first feature quantity and the second feature quantity are expressed as shape feature quantities. Calculate the first similarity between the first feature quantity and the second feature quantity. Set the first value as the similarity threshold. Compare the first similarity with the first value. When the first similarity is greater than or equal to the first value, set the sub-picture as the key picture. When the first similarity is less than the first value, jump to the next sub-picture; Obtain the content in the key picture and set the content standard. The content standard includes year, month, and day. When the content in the key picture is inconsistent with the content standard, obtain the content of the sub-picture on the right of the key picture and fill it in. Set the content in the filled key picture as the first time point. When the content in the key picture is consistent with the content standard, record the content in the key picture as the first time point; Obtain the standard rental duration, calculate the weighted calculation of the standard rental duration and the first time point to obtain the second time point, obtain the current time point, and compare the second time point with the current time point; When the second time point is before the current time point, set the first operation as verifying the rental status; When the second time point is after the current time point, set the first operation as retrieving monitoring data.

[0023] In specific implementation, the lease contract can be automatically segmented into sub-images, and feature quantities including keywords such as dates can be extracted. By calculating the similarity, key images can be identified, and thus key information in the contract can be extracted. For the content in the key images, the system can perform verification according to the preset content standards. When the content is inconsistent, information can be automatically extracted from adjacent sub-images to make up for it, ensuring the integrity of the information. According to the standard lease duration and the first time point in the contract, weighted calculation is performed to obtain the second time point, providing an accurate time basis for the verification of the lease status and the retrieval of monitoring data. By comparing the second time point with the current time point, the system can determine whether the lease status is normal, and thus decide to perform the operation of verifying the lease status or retrieving the monitoring data. Through intelligent contract management and time point calculation, the system reduces manual intervention and lowers the management cost. Through dynamic lease status management and real-time monitoring data retrieval, the system can timely discover potential lease risks, such as overdue renewal, equipment damage, etc., and thus take corresponding measures to reduce the operation risk.

[0024] When the first operation is to retrieve the monitoring data, in response to the first operation, the facility is analyzed for the first time to obtain the monitoring data, which includes temperature, vibration intensity, and output power. Any device name, the corresponding device number, and the corresponding device location are obtained, the device database is retrieved, the device name is input into the device database, and the standard parameter range corresponding to the device name is matched. The standard parameter range includes the standard temperature range, the standard vibration intensity range, and the standard output power range. The real estate location range is obtained, and the device location is compared with the real estate location range for the first time. When the device location is not distributed within the real estate range, the second operation is set as an asset transfer warning. When the device location is distributed within the real estate range, a second comparison is performed.

[0025] In specific implementation, multi-dimensional monitoring data such as temperature, vibration intensity, and output power are collected to comprehensively reflect the operating status of the device, avoiding misjudgment caused by the limitation of single data. The system retrieves the device database according to the device name, obtains the corresponding standard parameter range (including the standard temperature range, the standard vibration intensity range, and the standard output power range), and compares it with the real-time monitoring data, enabling accurate judgment of whether the device is in normal operation. Through the first comparison of the device location with the real estate location range, it is possible to monitor in real time whether the device is within the specified real estate range. If the device location exceeds the real estate range, the system sets the second operation as an asset transfer warning, effectively preventing the theft or unauthorized transfer of the device.

[0026] The second comparison includes: Compare the monitoring data with the corresponding standard parameter ranges, count the first quantity of the monitoring data distributed within the corresponding standard parameter ranges, and count the second quantity of the monitoring data not distributed within the corresponding standard parameter ranges. When the first quantity is greater than the second quantity and the second quantity is not zero, set the second operation as asset maintenance management and send the equipment number. When the second quantity is zero, do not perform the second operation. When the first quantity is less than the second quantity, set the second operation as asset replacement warning. The data not being distributed means the data is greater than or equal to the upper limit of the standard parameter range, or the data is less than or equal to the lower limit of the standard parameter range.

[0027] When the first operation is to verify the lease status, in response to the first operation, perform a second analysis on the lease status. The result of the second analysis represents the payment status of the user. Perform a third operation according to the result of the second analysis. The third operation includes updating the lease contract and jointly analyzing the charge bill and the monitoring data.

[0028] Obtain the charge bill from the management end and obtain the monitoring data from the device end; Obtain the second time point of the most recent charge record in the charge bill, and calculate the first time interval between the statistical second time point and the current time point. When the first time interval is less than or equal to the prepayment period, set the payment status of the user as paid. When the first time interval is greater than the prepayment period, set the payment status of the user as unpaid. The prepayment period represents the renewal period corresponding to the user's prepayment of rent; When the payment status of the user is set as paid, set the third operation as updating the lease contract. When the payment status of the user is set as unpaid, set the third operation as jointly analyzing the charge bill and the monitoring data.

[0029] In the specific implementation, by obtaining the second time point of the most recent charging record in the charging bill and calculating the first time interval between the time point and the current time point, the user's payment status can be automatically determined. When the first time interval is less than or equal to the prepaid time period, the user is deemed to have paid; otherwise, it is deemed to have not paid. This automated judgment mechanism reduces the error and workload of manual verification, clearly identifies the user's payment status (paid or unpaid), provides a clear basis for subsequent management operations, and avoids management confusion caused by unclear payment status. When the user's payment status is paid, the system sets the third operation to update the lease contract. This dynamic update mechanism ensures that the terms and status of the lease contract are consistent with the user's actual payment situation, avoiding legal risks and management loopholes caused by untimely contract updates. By timely updating the lease contract, the rights and interests of both parties to the lease can be better protected, reducing disputes caused by unclear or expired contract terms. Through joint analysis, the system can timely discover potential lease risks, such as users who have not paid for a long time but the equipment is still in use, or abnormal equipment usage frequency. Managers take corresponding risk management measures based on the analysis results, such as payment reminders, suspension of equipment usage rights, etc., to reduce operational risks, and flexibly configure according to different prepayment time periods and payment modes to meet the payment habits and leasing needs of different users.

[0030] When the third operation is set to update the lease contract, an information link is provided to the management end, a new lease contract is generated to the management end in the information link, and the new lease contract is stored in the management end, and the date in the new lease contract is updated to the second time point; When the third operation is to jointly analyze the charging bill and the monitoring data, the monitoring data is obtained, and when the monitoring data is not 0, a notification of overpayment of rent is sent to the user; When the monitoring data is 0, the real estate status is updated to a to-be-rented status, and the real estate information is republished on the rental platform.

[0031] The fourth operation includes asset recovery, asset depreciation and maintenance cost accounting; Asset transfer warning, asset replacement warning and asset maintenance management correspond to asset recovery, asset depreciation and maintenance costs respectively; Asset recovery is achieved based on the location of the equipment, asset depreciation is achieved through the second-hand sale of faulty equipment, and depreciation income is counted, and maintenance costs are achieved by dispatching maintenance personnel, and maintenance personnel expenses and maintenance material purchase expenses are counted.

[0032] The logic for re-evaluating the value of real estate according to the fourth operation includes: Calculate the first sum value of the depreciation income, maintenance staff expenses, and maintenance material purchase expenses, where the depreciation income is positive, and the maintenance staff expenses and maintenance material purchase expenses are negative. Calculate the first ratio of the first sum value to the advance payment period, and perform a weighted calculation of the first ratio and the original rent to obtain the new rent, and update it in the new lease contract according to the new rent.

[0033] In specific implementation, by calculating the first sum value of the depreciation income, maintenance staff expenses, and maintenance material purchase expenses, the system can comprehensively consider the actual operating costs and revenue conditions of the real estate. This evaluation method based on actual data is more scientific and reasonable than the traditional fixed rent model. According to the first ratio of the first sum value to the advance payment period, combined with the original rent, a weighted calculation is performed to obtain the new rent. This dynamic adjustment mechanism can ensure that the rent matches the actual value and operating costs of the real estate, avoiding rental disputes or revenue losses caused by excessively high or low rents. By recording in detail the maintenance staff expenses and maintenance material purchase expenses, the system can help the leasing company accurately control the operating costs. Managers optimize the maintenance plan based on the actual expenditure situation to reduce unnecessary expenses. By reasonably adjusting the rent, the leasing revenue can be maximized. The new rent takes into account both the costs of the leasing company and the market acceptance ability, can attract more tenants, and improve the occupancy rate of the real estate. Through detailed cost and revenue analysis, it provides rich data support for managers to help them make more scientific and reasonable operating decisions.

[0034] Through the collaborative work of the analysis module, execution module, and evaluation module of the present invention, the system can automatically retrieve the lease contract, analyze the facility status, update the lease information, and adjust the rent, greatly reducing manual intervention and improving the management efficiency. It can respond in real time to various operations during the leasing process, analyze the facility status in a timely manner, and quickly execute subsequent operations according to the analysis results to ensure the timeliness and accuracy of lease management. By conducting a detailed first analysis of the facilities according to the lease contract, it can accurately identify the usage situation, damage situation, etc. of the facilities, thereby providing a basis for subsequent maintenance and management. It can conduct a second analysis of the lease status according to the first operation and generate an information link to update the lease contract information in a timely manner to ensure the accuracy and timeliness of the lease status. Re-evaluate the value of the real estate and adjust the rent according to the re-evaluation results. The dynamic adjustment mechanism can ensure that the rent matches the actual value of the real estate, improving the scientificity and rationality of rent pricing. The real-time update of the lease contract and the dynamic adjustment of the rent enable tenants to clearly understand various expenses and facility status during the leasing process, enhancing tenant satisfaction.

[0035] Those skilled in the art should understand that the embodiments of the present invention can be provided as a method, a system or a computer program product. Therefore, the present invention can take the form of a complete hardware embodiment, a complete software embodiment or an embodiment combining software and hardware aspects. Moreover, the present invention can take the form of a computer program product implemented on one or more computer-usable storage media containing computer-usable program code. Among them, the storage medium is implemented by any type of volatile or non-volatile storage device or a combination thereof, such as static random access memory (SRAM), electrically erasable programmable read-only memory (EEPROM), erasable programmable read-only memory (EPROM), programmable read-only memory (PROM), read-only memory (ROM), magnetic memory, flash memory, magnetic disk or optical disk. These computer program instructions can also be stored in a computer-readable memory capable of guiding a computer or other programmable data processing device to work in a specific manner, so that the instructions stored in the computer-readable memory produce a manufactured article including an instruction device, and the instruction device implements the process Figure 1 in one process or multiple processes and / or boxes Figure 1 the functions specified in one box or multiple boxes.

[0036] It should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention and not to limit them. Although the present invention has been described in detail with reference to the preferred embodiments, those of ordinary skill in the art should understand that modifications or equivalent replacements of the technical solutions of the present invention, without departing from the spirit and scope of the technical solutions of the present invention, should all be covered by the scope of the claims of the present invention.

Claims

1. An Internet of Things-based real estate lease monitoring system, characterized in that, It includes an analysis module, an execution module, and an evaluation module; The analysis module retrieves the lease contract according to the real estate code, performs a first operation according to the lease contract, in response to the first operation, conducts a first analysis on the facilities, and performs a second operation according to the first analysis result; The execution module, in response to the first operation, conducts a second analysis on the lease status, generates an information link according to the second analysis result, updates and stores the lease contract according to the information link, and performs a third operation according to the second analysis result; The evaluation module performs a fourth operation according to the result of the second operation, re-evaluates the value of the real estate according to the fourth operation, and adjusts the rent according to the re-evaluation result.

2. The real estate lease monitoring system based on the Internet of Things according to claim 1, wherein: The first operation includes retrieving monitoring data and verifying the lease status, and the second operation includes asset transfer warning, asset replacement warning, and asset maintenance management; The monitoring data is based on the Internet of Things platform and is obtained based on a pre-established sensor network and gateway device, and the sensors are set at predetermined positions of the real estate; The sensor network is regularly powered on for testing. When the communication is fault-free, the collected data is automatically cleaned and standardized through the gateway link and stored in the device end of the cloud server; When the communication has a fault, a maintenance report is sent, and during the maintenance process, the data is transmitted through the standby gateway link, and at the same time, the data operations when the communication is fault-free are repeated on the standby gateway link; The cloud server is configured with an associated link, and through the associated link, the device end and the management end are connected, and the management end stores the real estate code, the lease contract, and the charging bill.

3. The real estate lease monitoring system based on the Internet of Things according to claim 2, characterized in that: The analysis module obtains the real estate code and searches for the corresponding lease contract in the management end according to the real estate code; Perform a first operation according to the lease contract, and the setting logic of the first operation includes: Obtain the lease contract, the storage form of the lease contract is a picture, divide the lease contract into each sub-picture, set the date as the keyword, extract the first feature quantity of the keyword, and extract the second feature quantity of any sub-picture. The first feature quantity and the second feature quantity are expressed as shape feature quantities, calculate the first similarity between the first feature quantity and the second feature quantity, set the first value as the similarity threshold, compare the first similarity with the first value, when the first similarity is greater than or equal to the first value, set the sub-picture as the key picture, and when the first similarity is less than the first value, jump to the next sub-picture; Obtain the content in the key picture, set the content standard, the content standard includes year, month, and day. When the content in the key picture is inconsistent with the content standard, obtain the content of the sub-picture on the right of the key picture, complete the content, and set the content in the completed key picture as the first time point. When the content in the key picture is consistent with the content standard, record the content in the key picture as the first time point; Obtain the standard lease duration, perform a weighted calculation on the standard lease duration and the first time point to obtain the second time point, obtain the current time point, and compare the second time point with the current time point; When the second time point is before the current time point, set the first operation as verifying the lease status; When the second time point is after the current time point, set the first operation to retrieve monitoring data.

4. The real estate lease monitoring system based on the Internet of Things according to claim 3, characterized in that: When the first operation is to retrieve monitoring data, in response to the first operation, perform a first analysis on the facility to obtain monitoring data, where the monitoring data includes temperature, vibration intensity, and output power. Obtain any device name, the corresponding device number, and the corresponding device location. Retrieve the device database, input the device name into the device database, and match the standard parameter ranges corresponding to the device name. The standard parameter ranges include a standard temperature range, a standard vibration intensity range, and a standard output power range. Obtain the real estate location range. Perform a first comparison between the device location and the real estate location range. When the device location is not distributed within the real estate range, set the second operation to asset transfer warning. When the device location is distributed within the real estate range, perform a second comparison.

5. The real estate lease monitoring system based on the Internet of Things according to claim 4, characterized in that: The second comparison includes: Compare the monitoring data with the corresponding standard parameter ranges. Count the first quantity of the monitoring data distributed within the corresponding standard parameter ranges and count the second quantity of the monitoring data not distributed within the corresponding standard parameter ranges. When the first quantity is greater than the second quantity and the second quantity is not 0, set the second operation to asset maintenance management and send the device number. When the second quantity is 0, do not perform the second operation. When the first quantity is less than the second quantity, set the second operation to asset replacement warning. The data not being distributed means the data is greater than or equal to the upper limit of the standard parameter range or less than or equal to the lower limit of the standard parameter range.

6. The real estate lease monitoring system based on the Internet of Things according to claim 5, characterized in that: When the first operation is to verify the lease status, in response to the first operation, perform a second analysis on the lease status. The result of the second analysis is expressed as the user's payment status. Perform a third operation according to the result of the second analysis. The third operation includes updating the lease contract and jointly analyzing the charge bill and the monitoring data.

7. The real estate lease monitoring system based on the Internet of Things according to claim 6, characterized in that: Obtain the charge bill from the management end and obtain the monitoring data from the device end. Obtain the second time point of the most recent charge record in the charge bill. Calculate the first time interval between the second time point and the current time point. When the first time interval is less than or equal to the prepayment period, set the user's payment status to paid. When the first time interval is greater than the prepayment period, set the user's payment status to unpaid. The prepayment period represents the renewal period corresponding to the user's prepayment of rent. When the user's payment status is set to paid, set the third operation to update the lease contract. When the user's payment status is set to unpaid, set the third operation to jointly analyze the charge bill and the monitoring data.

8. The real estate lease monitoring system based on the Internet of Things according to claim 7, characterized in that: When the third operation is set to update the lease contract, in the information link before the management end, generate a new lease contract in the information link and send it to the management end for storage. In the new lease contract, update the date to the second time point. When the third operation is to jointly analyze the charge bill and the monitoring data, obtain the monitoring data. When the monitoring data is not 0, send a notice to the user to pay the overdue rent. When the monitoring data is 0, the real estate status is updated to a to-be-rented status, and the real estate information is republished on the rental platform.

9. The real estate lease monitoring system based on the Internet of Things according to claim 1, wherein: The fourth operation includes asset recovery, asset depreciation and maintenance cost accounting; Asset transfer warning, asset replacement warning and asset maintenance management correspond to asset recovery, asset depreciation and maintenance costs respectively; The asset recovery is achieved based on the location of the equipment, the asset depreciation is achieved through the second-hand sale of faulty equipment, and the depreciation income is counted, and the maintenance costs are achieved by dispatching maintenance personnel, and the maintenance personnel expenses and maintenance material purchase expenses are counted.

10. The real estate lease monitoring system based on the Internet of Things according to claim 9, characterized in that: The logic of re-evaluating the value of the real estate according to the fourth operation includes: Calculate the first sum of depreciation income, maintenance personnel expenses and maintenance material purchase expenses, where depreciation income is a positive value and maintenance personnel expenses and maintenance material purchase expenses are negative values. Calculate the first sum and the first ratio of the prepayment time period, perform weighted calculation on the first ratio and the original rent to obtain a new rent, and update it in the new lease contract based on the new rent.

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