House renting and selling contract signing method, system and robot

Abstract

The invention discloses a seeing signing method and system for house renting and selling and a robot. The seeing signing method for house renting and selling comprises the steps that house resources are recommended in real time based on customer interests; access control is remotely controlled at a target position, voice instructions are analyzed through a knowledge graph, peripheral services are interactively recommended emotionally, and finally a customer is guided to complete the whole process of electronic signing. According to the signing robot with the reading function, the efficiency is remarkably improved in the leasing service, misreading of house resources is reduced, the customer experience is enhanced, the labor cost is reduced, the management efficiency can be improved, the service quality is improved, and the customer satisfaction degree is enhanced.

Description

Technical Field

[0001] This invention relates to the field of battery technology, and in particular to a method, system, and robot for showing and signing contracts for house rentals and sales. Background Technology

[0002] In the current housing rental market, the rental viewing and signing process mainly relies on the traditional manual viewing model. This model has several shortcomings: First, the low efficiency of manual viewings is a major bottleneck. Viewers need to plan routes in advance, and the number of clients they can show properties to at any given time is limited, leading to long waiting times and hindering service quality. Second, it's difficult to obtain real-time information about property status during manual viewings, often resulting in showing properties that are already rented. This wastes time for both clients and staff and significantly reduces client satisfaction. Third, during the signing process, manual explanations of procedures and precautions can be incomplete or inaccurate, increasing the complexity and risk of the signing process. Furthermore, if clients have questions during the viewing, timely responses from manual staff are often unreliable, further impacting the overall client experience.

[0003] Currently, while some rental platforms offer online property listings, they generally lack real-time interactive capabilities, preventing customers from accessing the latest property status and detailed answers during on-site viewings. Furthermore, manual operation of door locks and handling of charging tasks not only increases management costs but also raises the probability of errors, causing numerous inconveniences to rental services. Specifically, existing smart devices also have several shortcomings: navigation accuracy is significantly insufficient, especially in complex environments such as elevators and navigating between floors, where inaccurate navigation is particularly pronounced, impacting viewing efficiency. In addition, the lack or inadequacy of real-time video functionality is a major pain point; some devices offer only limited real-time video access, or even none at all, making problem tracing difficult and hindering effective monitoring of the viewing process. More importantly, the built-in voice interaction functions of existing devices lack a sufficient knowledge base for rental services when answering customer questions, and their ability to learn relevant knowledge through large-scale models is also insufficient, making it difficult to meet diverse customer needs. These issues make the intelligent and efficient operation of rental services a major challenge that the industry urgently needs to address. Therefore, developing an intelligent system that can improve the efficiency of property viewings and signings, update property status in real time, and provide accurate information interaction is of great significance for improving the quality of rental services and customer satisfaction. Summary of the Invention

[0004] This invention provides a method, system, and robot for showing and signing houses for rental and sale, in order to solve the technical problems of low efficiency and accuracy in the existing house rental and sale showing and signing process.

[0005] In view of the above technical problems, embodiments of the present invention provide a method for showing and signing contracts for the rental and sale of houses, including:

[0006] Receive the viewing task, the floor and location of the target property; acquire environmental data through a multi-sensor fusion model; combine the environmental data and use reinforcement learning algorithms to dynamically plan the viewing route; and link with the elevator control system to realize cross-floor navigation.

[0007] While the customer is walking along the viewing route to the floor where the target property is located, a data interaction channel is established with the management platform through the network, and the property is introduced to the customer based on the customer interest model and recommendation algorithm.

[0008] When a customer arrives at the door of the corresponding room, an opening command is sent to the customer to enable remotely sending a temporary password to open the door;

[0009] When customers are viewing properties, the system analyzes their voice commands using knowledge graphs and deep learning models, dynamically adjusts its response strategy based on sentiment analysis, and recommends properties that the customer is interested in.

[0010] When a customer requests a contract, the contract signing guidance module introduces the contract signing process to help them complete the electronic contract signing.

[0011] This invention also provides a house rental and sales viewing and signing system, comprising:

[0012] The route planning module is used to receive viewing tasks and obtain customer location information, the floor and location of the target property; it acquires environmental data through a multi-sensor fusion model, combines the environmental data and uses reinforcement learning algorithms to dynamically plan the viewing route, and links with the elevator control system to realize cross-floor navigation;

[0013] The data interaction and property recommendation module is used to establish a data interaction channel with the management platform through the network while the customer is walking to the floor of the target property according to the viewing route, and to generate personalized property recommendations for the customer based on the customer interest model and recommendation algorithm.

[0014] The remote password delivery module is used to send an opening command to the customer when the customer arrives at the door of the corresponding room, so as to realize remote access control.

[0015] The question-and-answer module is used to parse customers' voice commands based on knowledge graphs and deep learning models when customers are viewing properties, dynamically adjust the answer strategy in conjunction with sentiment analysis, and recommend nearby value-added services.

[0016] The guided signing module is used to introduce the signing process to customers when they make a signing request, so as to complete the electronic signing.

[0017] The present invention also provides a property rental and sales viewing and signing robot, including a memory, a processor, and a computer program stored in the memory and executable on the processor. When the processor executes the computer program, it implements the aforementioned property rental and sales viewing and signing method.

[0018] The beneficial effects of the technical solutions provided in this application are:

[0019] This invention enables simultaneous route planning and viewings for multiple clients during the property rental and sales process, improving viewing efficiency. Through real-time data interaction with the management platform, the robot assistant ensures that all displayed properties are available for rent or sale, effectively reducing the chance of incorrect viewings. Furthermore, providing real-time video viewing and playback ensures remote control and security throughout the viewing process.

[0020] This invention enables real-time monitoring, timely detection, and handling of anomalies, ensuring the smooth operation of the viewing service. Centralized management through a management platform improves overall management efficiency, and continuous optimization of algorithms and models enhances the level of intelligence, providing customers with a more convenient and efficient rental service experience.

[0021] This invention employs advanced image recognition algorithms to deeply analyze captured images, accurately identifying various dynamic and static obstacles such as pedestrians, vehicles, and temporarily piled-up items, providing detailed visual information for environmental perception. Simultaneously, ultrasonic sensors excel in close-range detection, serving as a powerful complement to other sensors and helping the system more accurately grasp its surroundings. Leveraging the powerful capabilities of sensor data fusion algorithms, the system can seamlessly integrate information from different sensors, enabling early prediction of potential risks and providing comprehensive and accurate environmental data support for path planning. The multi-sensor data fusion and processing methods ensure the accuracy of environmental monitoring; the control logic and algorithms for automatic cruise and fixed-point monitoring guarantee the robot's efficiency and stability when performing its functions; and the linked elevator control technology integrates cutting-edge technology, enabling the robot to intelligently navigate and accurately guide users between different floors. Attached Figure Description

[0022] To more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings used in the description of the embodiments of the present invention will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0023] Figure 1 This is a flowchart illustrating a method for showing and signing a lease agreement for renting or selling a house, according to one embodiment of the present invention.

[0024] Figure 2 This is a schematic diagram of the structure of a house rental and sales viewing and signing device according to an embodiment of the present invention;

[0025] Figure 3 This is a flowchart of a house rental and sales viewing and signing method according to another embodiment of the present invention. Detailed Implementation

[0026] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some, not all, of the embodiments of the present invention. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0027] The method for showing and signing contracts for renting and selling houses provided in this embodiment of the invention can be applied to, for example... Figure 1 The application environment shown. Specifically, this method for showing and signing contracts for housing rentals and sales is applied in a housing rental and sales showing and signing system, which includes, as shown in the example... Figure 2 The diagram illustrates a client and server. The client and server communicate over a network to address the low efficiency and accuracy of property rental and sales viewings and contract signing. The client, also known as the user terminal, is the program that provides local services to the client, corresponding to the server. The client can be installed on, but is not limited to, various personal computers, laptops, smartphones, tablets, robotic devices, and portable wearable devices. The server can be a standalone server or a server cluster consisting of multiple servers.

[0028] In one embodiment, such as Figure 1 As shown, a method for showing and signing contracts for house rentals and sales is provided, and this method is applied to... Figure 1 Taking the server in the example, the following steps are included:

[0029] S10: Receive the viewing task, the floor and location of the target property; acquire environmental data through a multi-sensor fusion model, combine this data with reinforcement learning algorithms to dynamically plan the viewing route, and link with the elevator control system to achieve cross-floor navigation. Understandably, the above process comprehensively considers various factors, such as road conditions, elevator waiting time, and walking distance between floors, to plan the fastest and most reasonable viewing route for the client, avoiding wasted time due to unreasonable routes. Linking with the elevator control system for cross-floor navigation makes movement between different floors smoother for clients, eliminating the need for manual elevator operation and improving the overall efficiency and experience of the viewing.

[0030] S20. While the customer is following the viewing route to the floor of the target property, a data interaction channel is established with the management platform via the network. Based on the customer's interest model and recommendation algorithm, the platform introduces properties to the customer. Understandably, through precise personalized recommendations, customers can more easily find properties that meet their needs, thereby increasing their interest in and willingness to purchase, and ultimately improving the transaction rate. Personalized recommendations demonstrate attention to and emphasis on customer needs, allowing customers to experience more considerate and professional service, and enhancing their trust and loyalty to the real estate agency or related platform.

[0031] S30. When a customer arrives at the corresponding room door, an opening command is sent to the customer to enable access via a temporary password. Understandably, the opening command can employ various methods, such as a mobile app, SMS verification code, fingerprint recognition, or a temporary password, increasing the security and reliability of the access control system and preventing unauthorized entry. Using multiple security authentication methods for the opening command effectively ensures the safety of the property and reduces the risk of theft or unauthorized entry.

[0032] S40. When customers are viewing properties, the system analyzes their voice commands using knowledge graphs and deep learning models, dynamically adjusts its response strategy based on sentiment analysis, and recommends properties the customer is interested in. Understandably, intelligent voice interaction and dynamically adjusted response strategies better meet customer needs, improve service quality and efficiency, and provide customers with a more professional and attentive experience. By recommending nearby value-added services, it not only provides convenience to customers but also brings more business opportunities to relevant business partners, achieving a win-win situation for all parties.

[0033] S50. When a customer requests a contract, the contract signing guidance module introduces the contract signing process to the customer to complete the electronic contract signing. Understandably, electronic contracts utilize advanced encryption and digital signature technologies to ensure the security and reliability of the signing process, prevent contract tampering or forgery, and effectively protect the customer's legitimate rights and interests.

[0034] In the above embodiments of the present invention, during the process of showing and signing properties for rental or sale, routes can be planned and shown to multiple clients simultaneously, improving the efficiency of the showing process. Through real-time data interaction with the management platform, the robot butler can ensure that all displayed properties are available for rent or sale, effectively reducing the chance of viewing the wrong property. Furthermore, providing real-time video viewing and video playback ensures remote controllability and security throughout the showing process.

[0035] In the above embodiments of the present invention, real-time monitoring enables timely detection and handling of anomalies, ensuring the smooth operation of the viewing service. Centralized management through a management platform improves overall management efficiency, and continuous optimization of algorithms and models enhances the level of intelligence, providing customers with a more convenient and efficient rental service experience.

[0036] In the above embodiments of the present invention, advanced image recognition algorithms are employed to deeply analyze the captured images, accurately identifying various dynamic and static obstacles such as pedestrians, vehicles, and temporarily piled-up items, providing detailed visual information for environmental perception. Simultaneously, ultrasonic sensors excel in close-range detection, serving as a powerful supplement to other sensors and helping the system more accurately grasp the surrounding situation. Leveraging the powerful capabilities of sensor data fusion algorithms, the system can seamlessly integrate information from different sensors, enabling early prediction of potential risks and thus providing comprehensive and accurate environmental data support for path planning.

[0037] The multi-sensor data fusion and processing method ensures the accuracy of environmental monitoring; the control logic and algorithm of automatic cruise and fixed-point monitoring ensure the efficiency and stability when performing functions; and the linkage elevator control technology integrates cutting-edge technology to realize intelligent route recognition and precise guidance between different floors.

[0038] In one embodiment, step S10 further includes the following steps:

[0039] S101, synchronizes the management platform and obtains the floor and location of the target property. Through the built-in positioning system or in conjunction with external positioning devices, it accurately guides customers to the property location.

[0040] S102. A 3D point cloud map is constructed using LiDAR to obtain the distance and orientation of obstacles in real time; a visual camera and image recognition algorithms are used to identify dynamic obstacles, static obstacles, elevator button labels, floor numbers, and elevator door opening / closing status; and ultrasonic sensors are used to collect real-time perception data on low obstacles, transparent objects, and narrow areas. Understandably, a multi-sensor fusion scheme is adopted, integrating LiDAR, visual cameras, and ultrasonic sensors. The LiDAR uses a high-frequency laser beam to construct a 3D point cloud map of the environment, obtaining the distance and orientation of obstacles in real time; the visual camera relies on advanced image recognition algorithms to accurately identify pedestrians, vehicles, and temporary objects in the image; and the ultrasonic sensor focuses on close-range detection, working in conjunction with other sensors to improve environmental perception accuracy. Through sensor data fusion algorithms, the system can integrate multi-source information (information obtained from different sensors) and predict potential risks, providing comprehensive and accurate environmental data support for path planning.

[0041] S103. Based on real-time environmental data collected by LiDAR, visual cameras, and ultrasonic sensors through sensor fusion algorithms, and using reinforcement learning algorithms, the system dynamically adjusts the route in real time, taking into account distance, time, environmental data, and unexpected situations, to calculate the optimal dynamic tour route. In other words, during the tour, the system combines real-time traffic conditions (such as congestion and construction information) with data from multiple sensors, using reinforcement learning algorithms to dynamically plan the route and quickly select the optimal path through trial and error to cope with unexpected situations (such as construction or obstacles). Simultaneously, the system explains the reasons for route changes and the new itinerary to the customer via voice and display screen, ensuring transparency of the tour information.

[0042] S104. Guide customers to the elevator, establish a communication connection with the elevator control system, and receive elevator operating status and fault information in real time; identify elevator button labels and floor numbers through image recognition algorithms to trigger elevator calls and target floor selection; guide customers into the elevator car through the voice interaction system and display screen, inform them of the target floor and introduce the features of the property.

[0043] S105. Upon detecting an elevator malfunction, the system activates a backup route and notifies the customer via voice announcement. It also plans an automatic cruise path within the elevator area based on elevator operation and pedestrian flow patterns, and maintains a fixed position on designated floors. This achieves deep communication and interconnection with the elevator control system, enabling real-time acquisition of elevator operation dynamics (including malfunction warnings and estimated arrival times) in addition to sending elevator call and floor selection commands. Once an elevator anomaly is detected, the system immediately activates the backup route planning function, guiding the customer to the backup elevator and simultaneously uploading malfunction details to the management platform to trigger a maintenance response. During elevator operation, the robot assistant interacts with the display screen via voice, integrating floor location and property database information to dynamically push information such as property highlights and surrounding amenities on the target floor, creating an immersive property viewing experience.

[0044] In one embodiment, step S20 further includes the following steps:

[0045] S201. Establish a data exchange channel between the network and the management platform to achieve second-level updates of property information. S202. Utilize big data analytics to collect and analyze customer browsing history, search preferences, and interactions with chatbots to build customer interest models and apply recommendation algorithms to provide personalized property recommendations. S203. Based on the customer interest model, prominently display properties that match customer preferences; integrate a virtual showroom function to view panoramic layouts and decoration styles. S204. Enhance customer interaction with property information through multimodal interaction methods, including gesture zooming and voice search.

[0046] Understandably, a tight connection to the management platform via a high-speed wireless network ensures that property information is updated in real-time, down to the second. Utilizing big data analytics, the system deeply analyzes customer browsing history, search preferences, and interactions with the chatbot, precisely applying recommendation algorithms to tailor personalized property recommendations for each customer. When displaying property information, the system uses prominent visual elements (such as larger fonts and highlighted colors) to highlight properties that match the customer's budget and apartment type requirements, based on the customer's interest model. Simultaneously, the integrated virtual showroom function allows customers to easily enjoy a 360-degree panoramic view by clicking the screen, intuitively experiencing the layout and decoration style of the property. Furthermore, the system supports gesture operation and voice search functions, further enhancing the interactive experience between customers and property information. Customers can easily zoom in and out of images and swipe to view different rooms using gestures, or use voice commands such as "check water and electricity rates" or "find the nearest subway station" to quickly obtain the information they need and enjoy efficient and convenient viewing services.

[0047] In one embodiment, step S30 further includes the following steps:

[0048] S301. Send a one-time password to the customer via a remote password distribution module; S302. Automatically record the door opening time, operator identity, and property information, and generate a log for subsequent query and management; S303. In case of network or door lock failure, obtain the mechanical key through a backup communication channel or contact property management personnel for assistance in opening the door, ensuring that the customer can enter the target property without obstacles.

[0049] Understandably, it provides multiple door opening and security mechanisms: in addition to supporting remote temporary password opening, it can also be integrated with biometric smart locks (such as authorized passwords and mechanical keys). During the door opening operation, it undergoes two-way verification with the management platform's security authentication system to ensure the operation is safe and legal. Simultaneously, it records detailed door opening logs for each instance, including the opening time, the identity of the person opening the door (matching the management platform's user information), and property information, facilitating subsequent querying and management, and maintaining the safety and order of the housing rental market.

[0050] It also provides emergency door-opening strategies: In response to emergencies such as network failures or smart lock malfunctions, the robot butler has developed emergency door-opening plans. It obtains backup door-opening solutions through emergency communication channels established with the management platform (such as backup network connections or SMS communication). For example, it can use a mechanical key pre-set inside the robot or in a designated nearby location, or the management platform can contact nearby property management personnel for assistance in opening the door, thus ensuring that customers can smoothly enter the property under any circumstances and guaranteeing an uninterrupted customer experience.

[0051] In one embodiment, step S40 further includes the following steps:

[0052] S401. Obtain housing knowledge base data to construct a knowledge graph, perform speech recognition and semantic analysis, extract key information of questions, construct a semantic network to provide interactive services; obtain housing knowledge base data from the management platform, construct a local knowledge graph, and store question and answer records in a local database or cloud server;

[0053] S402. Optimize natural language processing through deep learning models, analyze and extract questions based on key information, and provide accurate answers; S403. Record interaction data for operational optimization.

[0054] Understandably, knowledge graphs and deep learning are used to enable precise question answering. Knowledge graph technology is employed to deeply integrate and analyze the property knowledge base of the management platform, constructing a complex semantic network covering property information, surrounding amenities, and rental policies. This helps the robot assistant understand the inherent connections between knowledge. Deep learning algorithms continuously optimize the natural language processing model, improving the accuracy of understanding and answering customer questions. When faced with complex questions (such as comparing multiple properties or interpreting rental policies), the robot assistant can extract information from the knowledge graph and perform logical reasoning to provide comprehensive and accurate answers, effectively meeting customer information needs.

[0055] Understandably, analyzing customer tone of voice and word choice can identify their emotional state (such as confusion, excitement, or dissatisfaction). Based on this, a differentiated response strategy and tone can be adopted to provide personalized service. When a customer shows strong interest in a particular property, proactive recommendations for nearby housekeeping services, community value-added services, and applicable preferential policies can be made to enhance customer satisfaction. Simultaneously, in-depth data analysis of question-and-answer records can uncover potential customer needs and concerns, providing data support for the management platform to optimize property information and service content, thus contributing to improved service quality.

[0056] In one embodiment, step S50 further includes the following steps:

[0057] S501. When a customer requests a contract, display an introduction to the contract signing process and a QR code for the contract signing mini-program on the screen. S502. The customer scans the code to enter the contract signing mini-program and completes the information filling before signing online. S503. Interact with the contract signing mini-program to synchronize the information filled in by the customer to the management platform for review and archiving.

[0058] The signing process is presented intuitively through visual charts and text descriptions, breaking down complex steps to help customers quickly understand. During the signing process, voice interaction and a display screen provide real-time reminders to fill in personal identification information and offer links to frequently asked questions, ensuring customers can complete the signing smoothly.

[0059] The integrated management platform's intelligent review system utilizes natural language processing technology and a legal compliance knowledge base to quickly review contract documents uploaded by clients and previewed electronic contracts. The system automatically checks the compliance of contract terms, identifies potential risks such as rent adjustments and breach of contract liabilities, and provides timely warnings via voice prompts and pop-up displays, offering modification suggestions to ensure the legality and security of the signing process.

[0060] In another embodiment, the house rental and sales viewing and signing method further includes step S60, specifically: recognizing customer behavior and facial expressions through a 4K ultra-high-definition camera, recording the video and transmitting it to the management platform, storing the video data locally or in the cloud for playback as needed.

[0061] Understandably, by employing high-definition video transmission and intelligent analysis mechanisms, 4K ultra-high-definition cameras can be equipped, and advanced video encoding technologies such as H.265 can be used to effectively reduce network bandwidth consumption while ensuring clear and smooth real-time images.

[0062] A video recording storage and efficient retrieval system has been established: video data utilizes a dual-track mechanism combining local solid-state drives (SSDs) and cloud-based distributed storage. Local SSDs ensure high-speed and stable data read and write speeds, while cloud backups distribute data across multiple server nodes using distributed storage technology, significantly improving data security and reliability. The management platform provides multi-dimensional search functions, supporting precise queries based on time, date, property number, customer name, and other criteria. Users can quickly locate target video files by simply entering keywords in the intelligent search box (e.g., the video recording of a property shown by Zhang San on March 15, 2025), facilitating in-depth review and analysis of historical viewings.

[0063] In another embodiment, the house rental and sales viewing and signing method further includes step S70, specifically: setting up a power monitoring sensor to monitor the power status in real time, triggering a low power warning when the power is lower than a set threshold; and returning to the charging point for charging according to a preset route plan.

[0064] Understandably, the system monitors battery level in real time using power sensors, combines task scheduling with historical data, and uses algorithms to predict remaining battery life, triggering an alert when battery is low. Simultaneously, it plans the optimal charging route based on location, charging point distribution, and task urgency, informing customers of the estimated return time, next service time, and nearby visitable areas via voice and display before returning, minimizing impact on customer experience. During charging, parameters such as charging current, voltage, and progress are monitored in real time, and a charging management chip ensures safe and efficient charging. Once fully charged, it automatically wakes up and performs a self-check, preparing to execute new tasks after confirming normal functionality. Charging information is synchronized to the management platform, facilitating administrators to statistically analyze battery usage and charging status, optimize operational strategies, and improve efficiency and battery life.

[0065] It should be understood that the sequence number of each step in the above embodiments does not imply the order of execution. The execution order of each process should be determined by its function and internal logic, and should not constitute any limitation on the implementation process of the embodiments of the present invention. Figure 3 The diagram shown is a flowchart of another specific embodiment, illustrating one particular process in detail.

[0066] In one embodiment, such as Figure 2 As shown, a house rental and sales viewing and signing device is provided, which corresponds one-to-one with the house rental and sales viewing and signing methods in the above embodiments. For example... Figure 2 As shown, the property rental and sales viewing and signing device includes:

[0067] The route planning module receives the viewing task, the floor and location of the target property; it acquires environmental data through a multi-sensor fusion model, combines the environmental data with reinforcement learning algorithms to dynamically plan the viewing route, and links with the elevator control system to achieve cross-floor navigation.

[0068] The data interaction and property recommendation module is used to establish a data interaction channel with the management platform through the network while the customer is walking to the floor of the target property according to the viewing route, and to generate personalized property recommendations for the customer based on the customer interest model and recommendation algorithm.

[0069] The remote password delivery module is used to send an opening command to the customer when the customer arrives at the door of the corresponding room, so as to realize the remote sending of a temporary password to open the door;

[0070] The question-and-answer module is used to parse customers' voice commands based on knowledge graphs and deep learning models when customers are viewing properties, dynamically adjust the answer strategy in conjunction with sentiment analysis, and recommend nearby value-added services.

[0071] The guided signing module is used to introduce the signing process to customers when they make a signing request, so as to complete the electronic signing.

[0072] Specific limitations regarding the property viewing and signing device for rental and sales can be found in the above section on the limitations of property viewing and signing methods for rental and sales, and will not be repeated here. Each module in the aforementioned property viewing and signing device for rental and sales can be implemented entirely or partially through software, hardware, or a combination thereof. These modules can be embedded in or independent of the processor in a computer device, or stored in the memory of a computer device as software, so that the processor can call and execute the corresponding operations of each module.

[0073] In one embodiment, a computer device, which may be a server, is provided. The computer device includes a processor, memory, a network interface, and a database connected via a system bus. The processor provides computing and control capabilities. The memory includes a non-volatile storage medium and internal memory. The non-volatile storage medium stores an operating system, computer programs, and a database. The internal memory provides an environment for the operation of the operating system and computer programs stored in the non-volatile storage medium. The network interface is used to communicate with external terminals via a network connection. When the computer program is executed by the processor, it implements a method for showing and signing contracts for property rentals and sales.

[0074] In one embodiment, a house rental and sales viewing and signing robot is provided, including a memory, a processor, and a computer program stored in the memory and executable on the processor. When the processor executes the computer program, it implements the house rental and sales viewing and signing method described in the above embodiment. To avoid repetition, it will not be described again here. Alternatively, when the processor executes the computer program, it implements the functions of each module / unit in the house rental and sales viewing and signing device embodiment. To avoid repetition, it will not be described again here.

[0075] Those skilled in the art will understand that all or part of the processes in the methods of the above embodiments can be implemented by a computer program instructing related hardware. This computer program can be stored in a non-volatile computer-readable storage medium. When executed, the computer program can include the processes of the embodiments of the above methods. Any references to memory, storage, databases, or other media used in the embodiments provided in this application can include non-volatile and / or volatile memory. Non-volatile memory can include read-only memory (ROM), programmable ROM (PROM), electrically programmable ROM (EPROM), electrically erasable programmable ROM (EEPROM), or flash memory. Volatile memory can include random access memory (RAM) or external cache memory. By way of illustration and not limitation, RAM is available in various forms, such as static RAM (SRAM), dynamic RAM (DRAM), synchronous DRAM (SDRAM), dual data rate SDRAM (DDRSDRAM), enhanced SDRAM (ESDRAM), synchronous link DRAM (SLDRAM), RAMbus direct RAM (RDRAM), direct memory bus dynamic RAM (DRDRAM), and RAMbus dynamic RAM (RDRAM), etc.

[0076] Those skilled in the art will clearly understand that, for the sake of convenience and brevity, the above-described division of functional units and modules is used as an example. In practical applications, the above functions can be assigned to different functional units and modules as needed, that is, the internal structure of the device can be divided into different functional units or modules to complete all or part of the functions described above.

[0077] The above-described embodiments are only used to illustrate the technical solutions of the present invention, and are not intended to limit it. Although the present invention has been described in detail with reference to the foregoing embodiments, those skilled in the art should understand that modifications can still be made to the technical solutions described in the foregoing embodiments, or equivalent substitutions can be made to some of the technical features. Such modifications or substitutions do not cause the essence of the corresponding technical solutions to deviate from the spirit and scope of the technical solutions of the embodiments of the present invention, and should all be included within the protection scope of the present invention.

Claims

1. A method for showing and signing contracts for the rental or sale of houses, characterized in that, include: S10: Receive the viewing task, the floor and location of the target property; acquire environmental data through a multi-sensor fusion model, combine the environmental data and use reinforcement learning algorithms to dynamically plan the viewing route, and link with the elevator control system to realize cross-floor navigation; S20. While the customer is walking along the viewing route to the floor where the target property is located, establish a data interaction channel with the management platform through the network, and introduce the property to the customer based on the customer interest model and recommendation algorithm. S30. When the customer arrives at the door of the corresponding room, send an opening command to the customer to enable remotely sending a temporary password to open the door; S40. When customers are viewing properties, analyze their voice commands based on knowledge graphs and deep learning models, dynamically adjust the response strategy in conjunction with sentiment analysis, and recommend properties that the customer is interested in. S50. When a customer requests to sign a contract, the contract signing guidance module will introduce the contract signing process to the customer to complete the electronic contract signing.

2. The method for showing and signing contracts for house rentals and sales according to claim 1, characterized in that, Step S10 includes: S101, synchronize the management platform and obtain the floor and location of the target property, and accurately guide customers to the property location through the built-in positioning system or in conjunction with external positioning devices; S102. Construct a 3D point cloud map using LiDAR to obtain the distance and orientation of obstacles in real time; identify dynamic obstacles, static obstacles, elevator button labels, floor numbers, and elevator door opening and closing status using a visual camera and image recognition algorithm; and collect real-time perception accuracy data on low obstacles, transparent objects, and narrow areas using ultrasonic sensors. S103. Based on the integration of environmental data collected in real time by LiDAR, visual camera and ultrasonic sensor through sensor fusion algorithm, reinforcement learning algorithm is used to comprehensively consider distance, time, environmental data and sudden situations, and the route is dynamically adjusted in real time to calculate the optimal dynamic viewing route. S104. Guide customers to the elevator, establish a communication connection with the elevator control system, and receive real-time elevator operating status and fault information; use image recognition algorithms to identify elevator button labels and floor numbers, trigger elevator calls and target floor selection; guide customers into the elevator car through the voice interaction system and display screen, inform them of the target floor and introduce the features of the property. S105. When an elevator malfunction is detected, the backup planned route is activated and the customer is notified via voice broadcast; an automatic cruise route is planned in the elevator area according to the elevator operation and pedestrian flow patterns, and the elevator is stationed at designated floors.

3. The method for showing and signing contracts for house rentals and sales according to claim 1, characterized in that, Step S20 includes: S201. Establish a data exchange channel between the network and the management platform to achieve second-level updates of housing information; S202. By leveraging big data analytics, collect and analyze customer browsing history, search preferences, and chatbot interaction records to build customer interest models and use recommendation algorithms to provide personalized property recommendations to customers. S203. Based on the customer interest model, showcase properties that match customer preferences in a prominent manner; integrate virtual showroom functionality to view panoramic house layouts and decoration styles; S204. Enhance customer interaction with property information through multimodal interaction methods, based on gesture zooming and voice search.

4. The method for showing and signing contracts for house rentals and sales according to claim 2, characterized in that, Step S30 includes: S301. Send a one-time password to the customer by issuing a password; S302. Automatically records door opening time, operator identity, and property information, generating logs for subsequent query and management; S303. In the event of a network or door lock failure, obtain the mechanical key through the backup communication channel or contact property management personnel for assistance in opening the door, ensuring that customers can enter the target property without obstacles.

5. The method for showing and signing contracts for house rentals and sales according to claim 2, characterized in that, Step S40 includes: S401. Obtain housing knowledge base data to construct a knowledge graph, perform speech recognition and semantic analysis, extract key information of questions, construct a semantic network to provide interactive services; obtain housing knowledge base data from the management platform, construct a local knowledge graph, and store question and answer records in a local database or cloud server; S402. Optimize natural language processing through deep learning models, analyze and extract questions based on key information of the questions, and provide accurate answers; S403. Record interaction data for operational optimization.

6. The method for showing and signing contracts for house rentals and sales according to claim 2, characterized in that, Step S50 includes: S501. When a customer requests to sign a contract, the signing process introduction and the QR code for the signing mini-program will be displayed on the screen. S502. Customers scan the QR code to enter the signing mini-program and complete the pre-signing information online. S503. Interact with the contract signing mini-program to synchronize the information filled in by the customer to the management platform for review and archiving.

7. The method for showing and signing contracts for house rentals and sales according to claim 1, characterized in that, It also includes step S60: The system uses a 4K ultra-high-definition camera to identify customer behavior, actions, and facial expressions. The recorded footage is then viewed on a video tape and transmitted to a management platform. The video data is stored locally or in the cloud for playback as needed.

8. The method for showing and signing contracts for house rentals and sales according to claim 1, characterized in that, It also includes step S70: A power monitoring sensor is set up to monitor the power status in real time. When the power level is lower than a set threshold, a low power warning is triggered; the device then returns to the charging point according to a preset route plan.

9. A house rental and sales viewing and signing system, characterized in that, include: The route planning module receives the viewing task, the floor and location of the target property; it acquires environmental data through a multi-sensor fusion model, combines the environmental data with reinforcement learning algorithms to dynamically plan the viewing route, and links with the elevator control system to achieve cross-floor navigation. The data interaction and property recommendation module is used to establish a data interaction channel with the management platform through the network while the customer is walking to the floor of the target property according to the viewing route, and introduce properties to the customer based on the customer interest model and recommendation algorithm. The remote password delivery module is used to send an opening command to the customer when the customer arrives at the door of the corresponding room, so as to send a temporary password to open the door; The question-and-answer module is used to parse customers' voice commands based on knowledge graphs and deep learning models when customers are viewing properties. It dynamically adjusts the answer strategy by combining sentiment analysis and recommends properties that the customer is interested in. The guided signing module is used to introduce the signing process to customers when they make a signing request, so as to complete the electronic signing.

10. A house rental and sales viewing and signing robot, comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, characterized in that, When the processor executes the computer program, it implements the house rental and sales viewing and signing method according to any one of claims 1 to 7.

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