Intelligent property management method and system based on Internet of Things

Abstract

The invention belongs to the technical field of property management, and provides an intelligent property management method and system based on the Internet of Things, and the method comprises the steps: S1, building a property management database; s2, acquiring the operation state of facility equipment, environment quality parameters and personnel activity data in the community in real time through an Internet of Things sensor network; s3, processing and analyzing the data in the property management database by using a big data analysis technology; s4, automatically generating a property management strategy according to an analysis result; by establishing the property management database and collecting and analyzing data in real time, automatically generating the property management strategy and pushing customized information to property management personnel, owners and visitors, and establishing a feedback mechanism to continuously optimize services, intelligence, individuation and high efficiency of property management are realized, the management efficiency and service quality are remarkably improved, and the management cost is reduced. And construction of a harmonious community is facilitated.

Description

Technical Field

[0001] The present invention belongs to the technical field of property management, and specifically relates to a smart property management method and system based on the Internet of Things. Background Art

[0002] With the rapid development of Internet of Things technology and the acceleration of the urbanization process, property management is facing unprecedented challenges and opportunities.

[0003] Traditional property management methods rely on manual inspections and manual records, which are not only inefficient but also difficult to achieve real-time monitoring and intelligent management of various facilities and equipment in the community.

[0004] Therefore, technicians in this field have proposed a smart property management method and system based on the Internet of Things to solve the problems raised in the background art. Summary of the Invention

[0005] In order to solve the above technical problems, the present invention provides a smart property management method and system based on the Internet of Things to solve the problems in the prior art that property management methods rely on manual inspections and manual records, which are not only inefficient but also difficult to achieve real-time monitoring and intelligent management of various facilities and equipment in the community, etc.

[0006] A smart property management method based on the Internet of Things includes:

[0007] S1. Establish a property management database to integrate the status information of various facilities and equipment in the community, owner information, property service information, and environmental monitoring data;

[0008] S2. Real-time collect the operation status of facilities and equipment in the community, environmental quality parameters, and personnel activity data through the Internet of Things sensor network, and transmit the collected data to the property management database;

[0009] S3. Use big data analysis technology to process and analyze the data in the property management database, and predict the maintenance requirements of facilities and equipment, energy consumption trends, and owner service requirements;

[0010] S4. Automatically generate property management strategies according to the analysis results, including but not limited to facility maintenance plans, energy management programs, security prevention measures, and personalized service recommendations;

[0011] S5. Push customized information to property management personnel, owners, and visitors through smart terminals or mobile applications to achieve intelligent, personalized, and instant response of property services;

[0012] S6. Establish a feedback mechanism to collect user evaluations and suggestions for property management services, and continuously optimize property management strategies and service processes.

[0013] Preferably, in step S1, a data acquisition algorithm is used for data acquisition;

[0014] Then, a data normalization algorithm is used to normalize the integrated data, enabling comparison and analysis of data from different sources and with different dimensions.

[0015] Preferably, the Internet of Things sensor network further includes an intelligent recognition technology for identifying the identities of personnel and vehicle information within the community, realizing the automation of access control management, parking guidance, and security monitoring. The intelligent recognition technology uses a convolutional neural network algorithm to improve the accuracy and robustness of recognition by training a large number of data samples;

[0016] The Internet of Things sensor network also introduces an isolation forest algorithm for real-time monitoring and identification of abnormal data in the Internet of Things sensor network.

[0017] Preferably, in step S3, the big data analysis technology uses a linear regression model to process and analyze the data in the property management database, predicting the maintenance requirements of facilities and equipment and the energy consumption trend. Linear regression is a statistical method used to predict and analyze the relationship between two or more variables.

[0018] Preferably, the big data analysis technology further includes a machine learning algorithm for automatically identifying abnormal events, including equipment failure warnings and intrusion detections, and immediately triggering an emergency response mechanism.

[0019] Preferably, in step S4, when formulating a property management strategy, an optimization algorithm is used to find the optimal solution or an approximate optimal solution.

[0020] An Internet of Things-based intelligent property management system using the above-mentioned Internet of Things-based intelligent property management method includes an Internet of Things sensor network, a data processing center, intelligent terminals, and a user interface, where:

[0021] The Internet of Things sensor network is responsible for data acquisition;

[0022] The data processing center integrates a big data analysis module and an artificial intelligence decision-making module for data processing and strategy generation;

[0023] The intelligent terminals are used for receiving and sending information;

[0024] The user interface provides an interaction platform, enabling property management personnel, property owners, and visitors to conveniently obtain information and submit feedback.

[0025] A processor is configured to execute the above-mentioned Internet of Things-based intelligent property management method.

[0026] A computer-readable storage medium stores a computer program, which, when executed by a processor, implements the above-mentioned smart property management method based on the Internet of Things.

[0027] Compared with the prior art, the present invention has the following beneficial effects:

[0028] 1. The present invention establishes a property management database that integrates status information of various facilities and equipment in the community, owner information, property service information, and environmental monitoring data, thereby achieving comprehensive and accurate data collection and efficient management; providing a scientific basis for property management, and helping to improve management efficiency and service quality.

[0029] 2. The present invention utilizes an Internet of Things sensor network to collect data on the operating status of facilities and equipment in a residential complex, environmental quality parameters, and personnel activities in real time, and transmits this data to a property management database. By processing and analyzing the data in the database through big data analysis technology, it is possible to predict facility and equipment maintenance needs, energy consumption trends, and owner service needs, thereby providing intelligent decision-making support for property management.

[0030] 3. The present invention automatically generates property management strategies based on the analysis results, including but not limited to facility maintenance plans, energy management plans, safety precautions and personalized service recommendations. The formulation of this strategy is not only scientific and reasonable, but also can achieve intelligent, personalized and immediate response to property services, thereby improving owner satisfaction.

[0031] 4. The present invention pushes customized information to property management personnel, owners and visitors through smart terminals or mobile applications, realizing the rapid transmission and sharing of information. It not only improves the response speed of property services, but also helps to enhance communication and interaction between owners and properties, and promotes the construction of harmonious communities.

[0032] 5. The present invention establishes a feedback mechanism to collect users' evaluations and suggestions on property management services and continuously optimize property management strategies and service processes. This mechanism helps to maintain the advancement and adaptability of property management methods and ensure that they can meet the owners' growing diversified and personalized needs. BRIEF DESCRIPTION OF THE DRAWINGS

[0033] Figure 1 This is a flow chart of the smart property management method based on the Internet of Things of the present invention;

[0034] Figure 2 This is a framework diagram of the smart property management system based on the Internet of Things of the present invention. DETAILED DESCRIPTION

[0035] The following embodiments of the present invention are described in further detail with reference to the accompanying drawings and examples. The following examples are used to illustrate the present invention but are not intended to limit the scope of the present invention.

[0036] Embodiment: The present invention provides an intelligent property management method based on the Internet of Things, as Figure 1 shown, including:

[0037] S1. Establish a property management database, integrating the status information of various facilities and equipment in the community, owner information, property service information, and environmental monitoring data;

[0038] S2. Real-time collect the operation status of facilities and equipment, environmental quality parameters, and personnel activity data in the community through the Internet of Things sensor network, and transmit the collected data to the property management database;

[0039] S3. Use big data analysis technology to process and analyze the data in the property management database, and predict the maintenance requirements of facilities and equipment, energy consumption trends, and owner service requirements;

[0040] S4. Automatically generate property management strategies according to the analysis results, including but not limited to facility maintenance plans, energy management solutions, security prevention measures, and personalized service recommendations;

[0041] S5. Push customized information to property management personnel, owners, and visitors through intelligent terminals or mobile applications to achieve the intelligence, personalization, and instant response of property services;

[0042] S6. Establish a feedback mechanism to collect users' evaluations and suggestions on property management services, and continuously optimize property management strategies and service processes.

[0043] As can be seen from the above, this method realizes the intelligence, personalization, and high efficiency of property management by establishing a property management database, collecting and analyzing data in real time, automatically generating property management strategies, and pushing customized information to property management personnel, owners, and visitors. At the same time, a feedback mechanism is established to continuously optimize the service, significantly improving the management efficiency and service quality, and contributing to the construction of a harmonious community.

[0044] Furthermore, in step S1, a data acquisition algorithm is used for data acquisition, and the formula of the data acquisition algorithm is as follows:

[0045] y′ = f(x) + ε;

[0046] where y′ represents the acquired value of the data, x represents the acquisition time, f(x) represents the acquisition function (determined by sensor characteristics and environmental conditions), and ε represents noise;

[0047] Then, a data normalization algorithm is used to perform normalization processing on the integrated data, enabling data from different sources and with different dimensions to be compared and analyzed. The formula of the data normalization algorithm is as follows:

[0048]

[0049] Among them, x represents the original data, x min and x max respectively represent the minimum value and the maximum value in the dataset, represents the normalized data.

[0050] As can be seen from the above, the present invention can ensure the accuracy, consistency and comparability of data by using a data acquisition algorithm for data acquisition and a data normalization algorithm to normalize the integrated data; through the data acquisition algorithm, the status information of various facilities and equipment in the community, the information of the owners, the property service information and the environmental monitoring data can be accurately obtained, providing a reliable basis for subsequent analysis and processing; while the data normalization processing enables data from different sources and with different dimensions to be compared and analyzed on the same scale, thereby improving the efficiency and accuracy of data processing and providing strong support for the subsequent automatic generation of property management strategies.

[0051] Furthermore, the Internet of Things sensor network further includes an intelligent recognition technology for identifying the identities of personnel and vehicle information in the community, realizing the automation of access control management, parking guidance and security monitoring. The intelligent recognition technology uses a convolutional neural network algorithm to improve the accuracy and robustness of recognition by training a large number of data samples. The formula of the convolutional neural network algorithm is as follows:

[0052] y = f(W·x + b);

[0053] Among them, x represents the input data (such as an image), W represents the weight matrix, b represents the bias term, f represents the activation function (such as ReLU, Sigmoid, etc.), and y represents the output feature or prediction result;

[0054] The Internet of Things sensor network also introduces an isolation forest algorithm for real-time monitoring and identifying abnormal data in the Internet of Things sensor network. The formula of the isolation forest algorithm is as follows:

[0055]

[0056] Among them, s(x,n) represents the anomaly score of sample x, E(h(x)) represents the average path length of sample x in the isolation tree, and c(n) represents the expected value of the path length under the condition of given n samples (usually a constant); the larger the value of the anomaly score s(x,n), the more likely the sample x is abnormal data.

[0057] As can be seen from the above, the present invention introduces intelligent recognition technology and the isolation forest algorithm, significantly improving the safety management level and data processing ability of the community; the intelligent recognition technology adopts the convolutional neural network algorithm, and through training a large number of data samples, it realizes the accurate recognition of the identities of personnel and vehicle information in the community, thus automatically completing tasks such as access control management, parking guidance, and security monitoring, improving the safety and convenience of the community; at the same time, the introduction of the isolation forest algorithm enables the Internet of Things sensor network to monitor and identify abnormal data in real time, effectively preventing potential safety hazards and further enhancing the community's security prevention ability; the combination of these two technologies not only improves the intelligent level of property management but also provides a safer and more convenient living environment for the owners.

[0058] Furthermore, in step S3, the big data analysis technology uses a linear regression model to process and analyze the data in the property management database, predicting the maintenance requirements of facilities and equipment and the energy consumption trend. Linear regression is a statistical method used to predict and analyze the relationship between two or more variables. The formula of the linear regression model is as follows:

[0059] y = θ0 + θ1x1 + θ2x2 +... + θ n x n ;

[0060] where y represents the predicted value, x1, x2,..., x n represent independent variables, and θ0, θ1,..., θ n represent regression coefficients.

[0061] As can be seen from the above, by using the linear regression model to process and analyze the data in the property management database, the present invention realizes the accurate prediction of the maintenance requirements of facilities and equipment and the energy consumption trend; as a classic statistical method, linear regression can effectively reveal the linear relationship between two or more variables, providing a scientific basis for property management. It helps the property management side understand in advance the maintenance requirements of facilities and equipment and the change trend of energy consumption, so as to reasonably arrange the maintenance plan and energy use, reduce the operating cost, and improve the efficiency and sustainability of property management.

[0062] Furthermore, in step S4, when formulating the property management strategy, an optimization algorithm is used to find the optimal solution or an approximate optimal solution. The formula of the optimization algorithm is as follows:

[0063] x k+1 = x k - α▽f(x k );

[0064] where x k is the iteration value at the k-th step, α is the learning rate, is the gradient of the objective function f(x) at x k here.

[0065] As can be seen from the above, by using an optimization algorithm to find the optimal solution or approximate optimal solution of the property management strategy, the present invention significantly improves the scientificity and effectiveness of the property management strategy; the optimization algorithm is guided by the gradient of the objective function, and by continuously iteratively adjusting the strategy parameters, the value of the objective function gradually approaches the optimum; it can help property management parties quickly find the optimal or approximate optimal management strategy in a complex decision-making environment, thereby effectively improving the efficiency and service quality of property management, reducing operating costs, and enhancing the satisfaction and loyalty of owners.

[0066] Furthermore, the big data analysis technology further includes a machine learning algorithm for automatically identifying abnormal events, including equipment failure early warning and intrusion detection, and immediately triggering an emergency response mechanism. The formula of the machine learning algorithm is as follows:

[0067]

[0068] where x is the input data, and y i is the label of the i-th sample, α i is the Lagrange multiplier, and K(x i , x) represents the kernel function for mapping the input data to a high-dimensional space, and b is the bias term.

[0069] As can be seen from the above, the present invention realizes the automatic identification of abnormal events and immediate emergency response; by mapping the input data to a high-dimensional space through the kernel function, the machine learning algorithm can more accurately identify abnormal events such as equipment failure early warning and intrusion detection. It greatly improves the intelligent level of property management, enables property management parties to quickly capture potential security hazards or equipment failures, and immediately triggers an emergency response mechanism, effectively preventing accidents from occurring, ensuring the safety of the community and the normal operation of facilities and equipment, and providing a more secure and comfortable living environment for owners.

[0070] Working principle: Real-time collect data on facilities and equipment, environment, and personnel activities in the community through the Internet of Things sensor network, and transmit it to the property management database; use big data analysis technology to process and analyze the data, predict maintenance requirements, energy consumption trends, and owner service requirements; automatically generate property management strategies according to the analysis results, and push customized information to property management personnel, owners, and visitors through intelligent terminals; at the same time, establish a feedback mechanism to continuously optimize property management strategies and service processes, and realize the intelligentization, personalization, and high efficiency of property management.

[0071] Furthermore, compare the effects of a smart property management method based on the Internet of Things in the embodiment with the current traditional property management method (comparative example) to obtain the following table:

[0072]

[0073]

[0074] As can be seen from the above table, the intelligent property management method based on the Internet of Things shows significant advantages over the traditional property management method in aspects such as data collection and processing, prediction and early warning, management efficiency, operation cost, service quality, information transparency, security management, emergency response, value-added services, and community development.

[0075] An intelligent property management system based on the Internet of Things, as Figure 2 shown, uses the above-mentioned intelligent property management method based on the Internet of Things, and includes an Internet of Things sensor network, a data processing center, intelligent terminals, and a user interface, where:

[0076] The Internet of Things sensor network is responsible for data collection;

[0077] The data processing center integrates a big data analysis module and an artificial intelligence decision-making module for data processing and strategy generation;

[0078] The intelligent terminals are used for receiving and sending information;

[0079] The user interface provides an interaction platform, enabling property management personnel, property owners, and visitors to conveniently obtain information and submit feedback.

[0080] An embodiment of the present application provides an electronic device, which is applicable to the above-mentioned intelligent property management method based on the Internet of Things, and includes:

[0081] A memory for storing computer programs and data;

[0082] A processor for running system programs.

[0083] An embodiment of the present application provides a computer storage medium, which is applicable to the above-mentioned intelligent property management method based on the Internet of Things, and performs hierarchical confidentiality management on the above-mentioned system and data according to the requirements of confidentiality management.

[0084] Those skilled in the art should understand that the embodiments of the present application can be provided as a system or a computer program product. Therefore, the present application can take the form of a complete hardware embodiment, a complete software embodiment, or an embodiment combining software and hardware aspects. Moreover, the present application can take the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to disk memories, CD-ROMs, optical memories, etc.) containing computer-usable program codes.

[0085] This application is described with reference to the flowcharts and / or block diagrams of devices (systems) and computer program products according to embodiments of the present application. It should be understood that each flow and / or block in the flowchart and / or block diagram, and the combination of flows and / or blocks in the flowchart and / or block diagram, can be implemented by computer program instructions. These computer program instructions can be provided to the processor of a general-purpose computer, a special-purpose computer, an embedded processor, or other programmable data processing devices to generate a machine, such that the instructions executed by the processor of the computer or other programmable data processing devices generate a means for implementing the functions specified in the Figure 1 one or more flows and / or blocks Figure 1 means for implementing the functions specified in one or more blocks or multiple blocks.

[0086] These computer program instructions can also be stored in a computer-readable memory that can direct a computer or other programmable data processing device to work in a specific manner, such that the instructions stored in the computer-readable memory generate a manufactured article including an instruction means, and the instruction means implements the functions specified in the Figure 1 one or more flows and / or blocks Figure 1 means for implementing the functions specified in one or more blocks or multiple blocks.

[0087] These computer program instructions can also be loaded onto a computer or other programmable data processing device, such that a series of operation steps are executed on the computer or other programmable device to generate a computer-implemented process, and thus the instructions executed on the computer or other programmable device provide steps for implementing the functions specified in the Figure 1 one or more flows and / or blocks Figure 1 means for implementing the functions specified in one or more blocks or multiple blocks.

[0088] In a typical configuration, a computing device includes one or more processors (CPUs), an input / output interface, a network interface, and a memory.

[0089] The memory may include non-permanent memory in the form of computer-readable media, random access memory (RAM), and / or non-volatile memory such as read-only memory (ROM) or flash memory (flash RAM). The memory is an example of computer-readable media.

[0090] Computer-readable media includes permanent and non-permanent, removable and non-removable media that can be implemented by any method or technology for information storage. Information can be computer-readable instructions, data structures, program modules, or other data. Examples of computer storage media include, but are not limited to, phase-change memory (PRAM), static random access memory (SRAM), dynamic random access memory (DRAM), other types of random access memory (RAM), read-only memory (ROM), electrically erasable programmable read-only memory (EEPROM), flash memory or other memory technology, compact disc read-only memory (CD-ROM), digital versatile disc (DVD) or other optical storage, magnetic cassettes, magnetic disk storage or other magnetic storage devices, or any other non-transmission media that can be used to store information that can be accessed by a computing device. As defined herein, computer-readable media does not include transitory computer-readable media such as modulated data signals and carrier waves.

[0091] It should also be noted that the terms "comprises," "includes," or any other variations thereof are intended to encompass non-exclusive inclusion, such that a process, commodity, or apparatus comprising a series of elements includes not only those elements but also other elements not explicitly listed, or elements inherent to such process, commodity, or apparatus. In the absence of further limitations, an element defined by the phrase "comprising a ..." does not exclude the presence of other identical elements in the process, commodity, or apparatus comprising the element.

[0092] The embodiments of the present invention are provided for the purpose of illustration and description. Although the embodiments of the present invention have been shown and described above, it can be understood that the above embodiments are exemplary and cannot be understood as limitations on the present invention. Ordinary technicians in this field can change, modify, replace and modify the above embodiments within the scope of the present invention.

Claims

1. A smart property management method based on the Internet of Things, characterized in that: Including: S1. Establish a property management database, integrating the status information of various facilities and equipment in the community, owner information, property service information, and environmental monitoring data; S2. Real-time collect the operation status of facilities and equipment, environmental quality parameters, and personnel activity data in the community through the Internet of Things sensor network, and transmit the collected data to the property management database; S3. Use big data analysis technology to process and analyze the data in the property management database, and predict the maintenance needs of facilities and equipment, energy consumption trends, and owner service needs; S4. Automatically generate property management strategies according to the analysis results, including but not limited to facility maintenance plans, energy management solutions, security prevention measures, and personalized service recommendations; S5. Push customized information to property management personnel, owners, and visitors through smart terminals or mobile applications to achieve the intelligence, personalization, and instant response of property services; S6. Establish a feedback mechanism to collect users' evaluations and suggestions on property management services, and continuously optimize property management strategies and service processes.

2. The intelligent property management method based on the Internet of Things according to claim 1, characterized in that: In step S1, a data collection algorithm is used for data collection; Then, a data normalization algorithm is used to normalize the integrated data, enabling data from different sources and with different dimensions to be compared and analyzed.

3. The intelligent property management method based on the Internet of Things according to claim 1, wherein: The Internet of Things sensor network also includes intelligent identification technology for identifying the identities of personnel and vehicle information in the community, realizing the automation of access control management, parking guidance, and security monitoring. The intelligent identification technology uses a convolutional neural network algorithm through training a large number of data samples; The Internet of Things sensor network also introduces an isolation forest algorithm for real-time monitoring and identification of abnormal data in the Internet of Things sensor network.

4. The intelligent property management method based on the Internet of Things according to claim 1, characterized in that: In step S3, the big data analysis technology uses a linear regression model to process and analyze the data in the property management database, and predict the maintenance needs of facilities and equipment and energy consumption trends.

5. The intelligent property management method based on the Internet of Things according to claim 1, characterized in that: The big data analysis technology further includes a machine learning algorithm for automatically identifying abnormal events, including equipment fault warnings and intrusion detections, and instantly triggering an emergency response mechanism.

6. The intelligent property management method based on the Internet of Things according to claim 1, wherein: In step S4, when formulating property management strategies, an optimization algorithm is used to find the optimal solution or an approximate optimal solution.

7. An Internet of Things-based intelligent property management system, characterized in that: Using a smart property management method based on the Internet of Things according to claims 1-6, including an Internet of Things sensor network, a data processing center, a smart terminal, and a user interface, wherein: The Internet of Things sensor network is responsible for data collection; The data processing center integrates a big data analysis module and an artificial intelligence decision-making module for data processing and strategy generation; The smart terminal is used for receiving and sending information; The user interface provides an interaction platform, enabling property management personnel, owners, and visitors to conveniently obtain information and submit feedback.

8. A processor, characterized in that: Configured to execute a smart property management method based on the Internet of Things according to any one of claims 1 to 6.

9. A computer-readable storage medium, characterized in that: Stored thereon is a computer program, and when the computer program is executed by a processor, it implements a smart property management method based on the Internet of Things according to any one of claims 1 to 6.

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