Internet of Things information management system based on human-computer interaction

Abstract

The invention discloses an Internet of Things information management system based on man-machine interaction, which belongs to the technical field of Internet of Things information management and comprises a function analysis module, a simulation module, an interaction module and an information management module. The function analysis module is used for performing real-time function analysis, establishing a management information base, generating a management information table in real time according to the management information base, and dynamically updating the management information base according to the management information table; the simulation module is used for establishing an interactive simulation model and optimizing the interactive simulation model according to the received simulation feedback data; the interaction module is used for performing interaction processing to obtain man-machine interaction data, and processing the man-machine interaction data to obtain interaction information; determining a target management demand and simulation feedback data through the interaction simulation model and the interaction information; and the information management module is used for managing the information of the Internet of Things, identifying a target management demand, forming a corresponding management instruction according to the target management demand, and managing the information of the Internet of Things according to the management instruction.

Description

Technical Field

[0001] The present invention belongs to the technical field of Internet of Things information management, and specifically relates to an Internet of Things information management system based on human-computer interaction. Background Art

[0002] With the rapid development of Internet of Things technology, Internet of Things information management systems have been widely used in various fields. However, existing Internet of Things information management systems have obvious deficiencies in terms of user-friendliness. Especially when managing a large amount of data, users often feel inconvenient and confused. As follows:

[0003] The user interface design is not intuitive: The user interface designs of some Internet of Things information management systems are complex, and the function layouts are chaotic, resulting in users being difficult to get started and operate quickly. Users need to spend a lot of time and energy to familiarize themselves with the system, reducing work efficiency.

[0004] Lack of user guidance and help documents: Many systems lack sufficient guidance and help documents when users encounter difficulties, making it impossible for users to solve problems in a timely manner. This not only affects the user experience but may also cause users to abandon using the system.

[0005] Data management is cumbersome: A large amount of data generated by Internet of Things systems needs to be effectively managed and analyzed. However, existing systems often lack effective data management tools and methods, resulting in users being difficult to efficiently manage and utilize this data.

[0006] The functions are complex and difficult to master: Internet of Things information management systems usually contain numerous functions, but users often only use a part of the functions. When they need to use other functions, the usage experience will be affected due to proficiency and other factors.

[0007] Based on this, in order to improve the user-friendliness and usability of Internet of Things information management systems, the present invention provides an Internet of Things information management system based on human-computer interaction. Summary of the Invention

[0008] In order to solve the problems existing in the above solutions, the present invention provides an Internet of Things information management system based on human-computer interaction.

[0009] The object of the present invention can be achieved through the following technical solutions:

[0010] An Internet of Things information management system based on human-computer interaction, comprising a function analysis module, a simulation module, an interaction module, and an information management module;

[0011] The function analysis module is used to perform real-time function analysis and establish a management information base, which is used to store management functions and corresponding management methods; generate a management information table in real time according to the management information base, and the management information table is used to count the management function information in the management information base; dynamically update the management information base according to the management information table.

[0012] Further, the method for establishing the management information base includes:

[0013] Identify the functions of the Internet of Things information management system to obtain a number of management functions, and perform function analysis on the management functions to obtain the management methods of the management functions.

[0014] Establish a management information base according to the obtained management functions and management methods.

[0015] Further, the method for dynamically updating the management information base according to the management information table includes:

[0016] Establish a function verification model, and the expression of the function verification model is:

[0017]

[0018] In the formula: (s, U) is the input data, s is the function to be selected, and U is the verification set; the output data is the function verification value GH(s, U), and the function verification value is 1 or 0.

[0019] Real-time identify the function to be selected; generate a verification set according to the management information table, and the verification set consists of the management functions corresponding to the management information table.

[0020] Analyze the function to be selected and the calibration set through the function verification model to obtain the function verification value of the function to be selected.

[0021] Mark the function to be selected with a function verification value of 0 as a management function, obtain the management method of the management function, and input the management function and the management method into the management information base.

[0022] The simulation module is used to establish an interactive simulation model, which is used to perform management simulation according to the user's interactive information to obtain corresponding management simulation data; and optimize the interactive simulation model according to the received simulation feedback data.

[0023] The interaction module is used to perform interaction processing, obtain the human-computer interaction data of the user in real time, process the human-computer interaction data to obtain interaction information; determine the target management requirements and simulation feedback data through the interaction simulation model and the interaction information; send the target management requirements to the information management module; send the simulation feedback data to the simulation module.

[0024] Further, the method for obtaining human-computer interaction data includes:

[0025] Determine the interaction mode, where the interaction mode includes voice interaction, text interaction, and image interaction;

[0026] The platform party sets an interaction unit according to the interaction mode, and the interaction unit is used to interact with the user;

[0027] When the user has an interaction requirement, interact through the interaction unit to obtain human-computer interaction data.

[0028] Further, each interaction mode can be combined to form a new interaction mode.

[0029] Further, the working method of the interaction unit includes:

[0030] Step SA1: When the user conducts human-computer interaction, generate an interaction interface, such as a chat interface; in the interaction interface, real-time identify the user interaction data input by the user;

[0031] Step SA2: Analyze the user interaction data in the interaction interface through a preset interaction analysis model to generate interaction feedback data, and display the interaction feedback data to the user;

[0032] Step SA3: When the interaction feedback data does not meet the user's requirements, the user inputs new user interaction data in the interaction interface according to the interaction feedback data, and returns to step SA2;

[0033] When the interaction feedback data meets the user's requirements, integrate the user interaction data and interaction feedback data in the interaction interface into human-computer interaction data, and end the analysis.

[0034] Further, the method for determining the target management requirement through the interaction simulation model and interaction information includes:

[0035] Step SC1: Analyze the interaction information through the interaction simulation model to obtain management simulation data, and display the management simulation data to the user;

[0036] Step SC2: When the management simulation data meets the user's requirements, generate a target management requirement according to the management simulation data; and set simulation feedback data according to the generation process of the target management requirement;

[0037] When the management simulation data does not meet the user's requirements, the user marks the unsatisfied part and reason in the management simulation data, and integrates them into simulation adjustment data; adjust the interaction information according to the simulation adjustment data to obtain new interaction information, and return to step SC1.

[0038] The information management module is used for Internet of Things information management, identifying the target management requirements, forming corresponding management instructions according to the target management requirements, and managing the Internet of Things information according to the management instructions.

[0039] Furthermore, it further includes a shortcut module. The shortcut module is used for shortcut interaction management of Internet of Things information, obtaining human-computer interaction management records, determining shortcut management requirements according to the human-computer interaction management records, and setting shortcut function keys according to the shortcut management requirements; users manage Internet of Things information through the shortcut function keys.

[0040] Furthermore, the method for determining shortcut management requirements according to human-computer interaction management records includes:

[0041] Identifying the target management requirements included in the human-computer interaction management records and setting a unit time period; generating a unit timeline according to the unit time period;

[0042] Generating an interaction curve of the target management requirements according to the human-computer interaction management records and the unit timeline. The horizontal axis of the interaction curve is the unit timeline, and the vertical axis is the interaction times axis;

[0043] Fitting the interaction curve to obtain an interaction function, and marking the interaction function as H(T);

[0044] Converting the interaction function through a conversion formula to obtain a screening function of the target management requirements. The conversion formula is:

[0045] ZH(T) = ε -T ×H(T);

[0046] In the formula: ZH(T) is the screening function; ε is the conversion coefficient;

[0047] Calculating the screening value of the target management requirements according to the screening formula. The screening formula is:

[0048]

[0049] In the formula: SR is the screening value;

[0050] Screening the target management requirements according to the screening value, determining the recommended management requirements, recommending the recommended management requirements to the user, and having the user determine the shortcut management requirements.

[0051] Compared with the prior art, the beneficial effects of the present invention are:

[0052] This system introduces advanced human-computer interaction technologies such as voice interaction, enabling users to interact with the system more conveniently. Users can complete operations through voice commands, thereby improving the operation convenience and satisfaction of users. This system provides efficient data management tools and methods, enabling users to easily manage and analyze the large amount of data generated by the Internet of Things system. Users can perform data screening, analysis, and visualization operations according to their own needs, so as to make better use of this data. This system adopts a modular design concept and can be flexibly configured and expanded according to user needs. Users can add or delete shortcut functions according to actual needs, so as to meet different application scenarios and requirements. BRIEF DESCRIPTION OF THE DRAWINGS

[0053] In order to more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the following will briefly introduce the drawings required for the description of the embodiments or the prior art. Obviously, the drawings in the following description are only some embodiments of the present invention. For those of ordinary skill in the art, without creative efforts, other drawings can also be obtained based on these drawings.

[0054] Figure 1 It is a block diagram of the principle of the present invention. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0055] The following will clearly and completely describe the technical solutions of the present invention in conjunction with the embodiments. Obviously, the described embodiments are only some embodiments of the present invention, rather than all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative efforts belong to the scope of protection of the present invention.

[0056] As Figure 1 shown, an Internet of Things information management system based on human-computer interaction includes a function analysis module, a simulation module, an interaction module, an information management module, and a shortcut module;

[0057] The function analysis module is used to identify the functions of the Internet of Things information management system, determine the management functions of the Internet of Things information management system, such as login function, a certain target analysis function, etc., which are specifically determined according to the applied Internet of Things information management system; perform function analysis on the identified management functions to determine the management methods of the corresponding management functions. The management method is how the management function manages and how data is processed, etc., which are existing data; establish a management information database according to the management functions and management methods, generate a management information table according to the management information database, and the management information table is used to count the management function information in the management information database. The management function information is the brief information of the corresponding management function; dynamically update the management information database according to the management information table.

[0058] In one embodiment, the method for dynamically updating a management information base according to a management information table includes:

[0059] Establish a function verification model, and the expression of the function verification model is:

[0060]

[0061] In the formula: (s, U) is the input data, s is the function to be selected, and U is the verification set; the output data is the function verification value GH(s, U), and the function verification value is 1 or 0;

[0062] Real-time identify management functions and mark them as functions to be selected; generate a verification set according to the management information table, and the verification set consists of the management functions corresponding to the management information table;

[0063] Analyze the function to be selected and the calibration set through the function verification model to obtain the function verification value of the corresponding function to be selected;

[0064] Mark the function to be selected with a function verification value of 0 as a management function, obtain the management method of this management function, and input the management function and the management method into the management information base.

[0065] The simulation module is used to establish an interactive simulation model, and the interactive simulation model is used to perform management simulation according to the user's interactive information to obtain corresponding management simulation data; and optimize the interactive simulation model according to the simulation feedback data.

[0066] In one embodiment, the interactive simulation model is established based on the prior art.

[0067] According to the requirements of the interactive simulation model, design a suitable neural network architecture. It includes an input layer, a hidden layer, and an output layer. Select appropriate activation functions, loss functions, and optimization algorithms.

[0068] Use historical interactive data to train the neural network so that it can learn the interaction pattern between the user and the management system. During the training process, continuously adjust the parameters of the neural network to improve its accuracy and generalization ability.

[0069] Integrate the trained neural network into the interactive simulation model to achieve the function of simulating according to the user's interactive information. Design appropriate algorithms and processes to convert the user's interactive information into the input of the neural network and output management simulation data.

[0070] Optimize and iterate the interactive simulation model according to the simulation feedback data provided by the platform party. Continuously adjust the architecture and parameters of the neural network to improve the accuracy and practicality of the model.

[0071] Exemplarily, assume that we establish an interactive simulation model for a smart home Internet of Things information management system.

[0072] Collect various information of smart home devices, such as device type, function, status, etc.

[0073] Store this information in the management information base for subsequent invocation.

[0074] Design a neural network architecture including an input layer, a hidden layer, and an output layer. The input layer receives smart home control instructions input by the user, such as turning on the light, adjusting the temperature, etc. The hidden layer uses an LSTM network to perform sequence modeling and feature extraction on the input instructions. The output layer outputs the status update results of smart home devices, such as whether the light is on, whether the temperature is adjusted to the specified value, etc.

[0075] Use historical smart home control instructions and corresponding device status update data to train the neural network. During the training process, continuously adjust the parameters of the neural network to improve its accuracy and generalization ability.

[0076] Integrate the trained neural network into the interactive simulation model. When the user inputs smart home control instructions, the interactive simulation model will call the neural network for calculation and output the device status update results. The simulation results can be presented to the user through the graphical interface of the smart home system.

[0077] Optimize and iterate the interactive simulation model according to the feedback data provided by the user. New smart home devices and functions can be introduced to expand the application scope of the interactive simulation model. Continuously collect new smart home control instructions and corresponding device status update data to continuously train and optimize the neural network.

[0078] The interaction module is used for interaction processing, obtaining the human-computer interaction data of the user in real time, processing the human-computer interaction data to obtain corresponding interaction information; determining the target management requirements and simulation feedback data through the interaction simulation model and the interaction information; sending the target management requirements to the information management module; sending the simulation feedback data to the simulation module.

[0079] The human-computer interaction data is the relevant data about information management between the user and the interaction module.

[0080] In one embodiment, the human-computer interaction data can be obtained based on existing human-computer interaction technologies.

[0081] In one embodiment, the method for obtaining human-computer interaction data includes:

[0082] Determine the interaction mode, which includes voice interaction, text interaction, image interaction, etc. Each interaction mode can be combined to form a new interaction mode for interaction, facilitating user interaction. Image interaction means that users can determine management requirements by uploading images, etc.

[0083] The platform party sets interaction units according to the interaction mode. The interaction units are used to interact with users;

[0084] When users have interaction requirements, they interact through the interaction units to obtain human-computer interaction data.

[0085] In one embodiment, the working method of the interaction unit includes:

[0086] Step SA1: Real-time identify user input user interaction data, such as text information, voice information, etc.;

[0087] Step SA2: Analyze the user interaction data through a preset interaction analysis model to generate interaction feedback data, and display the interaction feedback data to the user;

[0088] Step SA3: When the interaction feedback data does not meet the user's requirements, the user inputs new user interaction data according to the interaction feedback data and inputs it on the same interaction interface; return to step SA2;

[0089] When the interaction feedback data meets the user's requirements, integrate the user interaction data and the interaction feedback data into human-computer interaction data, that is, integrate all the user interaction data and interaction feedback data corresponding to the interaction interface; end the analysis.

[0090] In one embodiment, the interaction analysis model is established based on existing data recognition and analysis technologies, used to analyze user interaction data, understand their management requirements, and form interaction feedback data. That is, the interaction feedback data is the understanding and analysis data of the corresponding user interaction data; it can be established based on existing human-computer interaction technologies; such as an interaction analysis model based on neural networks such as CNN networks or DNN networks, and a corresponding training set is established and trained manually. The training set includes input data and output data. The input data is user interaction data, referring to all user interaction data in this interaction, and can also include the corresponding interaction feedback data; the output data is the interaction feedback data; analyze through the successfully trained interaction analysis model.

[0091] In one embodiment, process the human-computer interaction data to obtain interaction information, that is, summarize the human-computer interaction information and determine the corresponding accurate information related to management requirements; determine based on existing data recognition and analysis technologies.

[0092] In one embodiment, the method for determining the target management requirements through the interaction simulation model and interaction information includes:

[0093] Step SC1: Analyze the interaction information through the interaction simulation model to obtain management simulation data, and display the obtained management simulation data to the user;

[0094] Step SC2: When the management simulation data meets the user's requirements, generate target management requirements according to the management simulation data. The target management requirements are the data management requirements that the user truly wants, and generate simulation feedback data according to the generation process of the target management requirements, that is, generate simulation feedback data according to the adjustment process of the interaction information.

[0095] When the management simulation data does not meet the user's requirements, the user marks the unsatisfied parts and reasons in the management simulation data, and integrates them into simulation adjustment data; adjust the interaction information according to the simulation adjustment data to obtain new interaction information, and return to step SC1;

[0096] That is, limit and adjust the interaction information according to the simulation adjustment data, and the adjustment can be based on existing adjustment technologies; for example, establish a simulation adjustment model based on a neural network, and establish a corresponding training set for training through artificial means. The training set includes input data and output data. The input data is the simulation adjustment data, the original interaction information, and the management simulation data; the output data is the adjusted interaction information; analyze through the successfully trained simulation adjustment model to obtain new interaction information.

[0097] The information management module is used to manage Internet of Things information, identify target management requirements, form corresponding management instructions according to the target management requirements, and manage the Internet of Things information according to the management instructions, that is, apply corresponding management functions for management according to the management instructions.

[0098] The shortcut module is used to perform shortcut interaction management on Internet of Things information, obtain human-computer interaction management records, that is, records of the user's management of Internet of Things information through the above human-computer interaction method; determine shortcut management requirements according to the human-computer interaction management records, and generate shortcut function keys according to the shortcut management requirements; when the user has target management requirements corresponding to the shortcut function keys, perform fast Internet of Things information management through the corresponding shortcut function keys.

[0099] In one embodiment, the shortcut management requirements are determined according to the human-computer interaction management records, and are directly set by the user according to the historical target management requirements.

[0100] In one embodiment, the method for determining the shortcut management requirements according to the human-computer interaction management records includes:

[0101] Identify the target management requirements based on the human-computer interaction management records, and set the unit time period, which is generally one day, two days, one week, etc., and is specifically set by the platform side;

[0102] Generate a unit time axis according to the unit time period, that is, the minimum scale in the unit time axis is the unit time period. For example, T = 1 represents one unit time period, and T = 2 represents two unit time periods;

[0103] Generate an interaction curve for the corresponding target management requirements based on the human-computer interaction management records and the unit time axis. The horizontal axis of the interaction curve is the unit time axis, and the vertical axis is the interaction times axis. That is, count the number of records of the Internet of Things information management according to the target management requirements within the corresponding unit time period based on the human-computer interaction management records, and mark it as the interaction times;

[0104] Fit the interaction curve to obtain an interaction function, and mark the interaction function as H(T);

[0105] Transform the interaction function through a transformation formula to obtain a screening function for the corresponding target management requirements. The transformation formula is:

[0106] ZH(T) = ε -T ×H(T);

[0107] In the formula: ZH(T) is the screening function; ε is the transformation coefficient, and the preset value range is [1.01, 1.1]. Generally, ε = 1.05, but the transformation coefficient can be adjusted according to the user's needs, that is, the transformation coefficient outside the value range can be set;

[0108] Calculate the screening value for the corresponding target management requirements according to the screening formula. The screening formula is:

[0109]

[0110] In the formula: SR is the screening value;

[0111] Mark the target management requirements with a screening value greater than the threshold X1 as recommended management requirements, and recommend the recommended management requirements to the user, including relevant information such as the corresponding screening value, the curve corresponding to the screening function, and the interaction curve; The user determines the quick management requirements based on the recommended management requirements.

[0112] In one embodiment, generate a quick function key according to the quick management requirements, that is, generate a one-key processing function key according to the Internet of Things information management method of the target management requirements corresponding to the quick management requirements, such as a quick function key for data summary statistics, sending, and deleting a process.

[0113] The above formulas are all calculated by removing the dimension and taking the numerical value. The formula is obtained by collecting a large amount of data for software simulation to get a formula closest to the actual situation. The preset parameters and preset thresholds in the formula are set by those skilled in the art according to the actual situation or obtained by simulating a large amount of data.

[0114] The above embodiments are only used to illustrate the technical method of the present invention rather than to limit it. 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 the technical method of the present invention can be modified or equivalently replaced without departing from the spirit and scope of the technical method of the present invention.

Claims

1. An Internet of Things information management system based on human-computer interaction, characterized in that: It includes function analysis module, simulation module, interaction module and information management module; The function analysis module is used to perform real-time function analysis and establish a management information base, and the management information base is used to store management functions and corresponding management methods; Generating a management information table in real time according to the management information base, the management information table is used to count the management function information in the management information base; dynamically updating the management information base according to the management information table; The simulation module is used to establish an interactive simulation model, and the interactive simulation model is used to perform management simulation according to the user's interactive information to obtain corresponding management simulation data; and optimize the interactive simulation model according to the received simulation feedback data; The interaction module is used to perform interaction processing, obtain the user's human-computer interaction data in real time, process the human-computer interaction data, and obtain interaction information; Determine target management requirements and simulation feedback data through interactive simulation models and interactive information; send the target management requirements to the information management module; send the simulation feedback data to the simulation module; The information management module is used to manage Internet of Things information, identify the target management requirements, form corresponding management instructions according to the target management requirements, and manage Internet of Things information according to the management instructions.

2. According to claim 1, the Internet of Things information management system based on human-computer interaction is characterized in that: The methods for establishing a management information base include: Performing functional identification on the Internet of Things information management system to obtain a number of management functions, performing functional analysis on the management functions to obtain management methods for the management functions; Establish a management information base based on the obtained management functions and management methods.

3. According to claim 1, the Internet of Things information management system based on human-computer interaction is characterized in that: The method for dynamically updating the management information base according to the management information table includes: A function verification model is established, and the expression of the function verification model is: Where: (s, U) is the input data, s is the function to be selected, and U is the verification set; the output data is the function verification value GH(s, U), and the function verification value is 1 or 0; Identify the functions to be selected in real time; generate a verification set according to the management information table, wherein the verification set is composed of the management functions corresponding to the management information table; Analyzing the function to be selected and the calibration set by using the function verification model to obtain the function verification value of the function to be selected; The candidate function with a function check value of 0 is marked as a management function, a management method of the management function is obtained, and the management function and the management method are input into a management information base.

4. The Internet of Things information management system based on human-computer interaction according to claim 1 is characterized in that: Methods for obtaining human-computer interaction data include: Determine an interaction mode, where the interaction mode includes voice interaction, text interaction, and image interaction; The platform party sets an interaction unit according to the interaction mode, and the interaction unit is used to interact with the user; When the user has an interaction demand, the user interacts through the interaction unit to obtain human-computer interaction data.

5. The Internet of Things information management system based on human-computer interaction according to claim 4 is characterized in that: Various interaction modes can be combined to form new interaction modes.

6. The Internet of Things information management system based on human-computer interaction according to claim 4 is characterized in that: The working methods of the interaction unit include: Step SA1: when a user performs human-computer interaction, an interactive interface, such as a chat interface, is generated; and user interaction data input by the user is recognized in real time in the interactive interface; Step SA2: analyzing the user interaction data in the interaction interface by using a preset interaction analysis model, generating interaction feedback data, and displaying the interaction feedback data to the user; Step SA3: When the interaction feedback data does not meet the user's requirements, the user inputs new user interaction data in the interaction interface according to the interaction feedback data, and returns to step SA2; When the interaction feedback data meets the user's requirements, the user interaction data and the interaction feedback data in the interaction interface are integrated into human-computer interaction data, and the analysis is terminated.

7. The Internet of Things information management system based on human-computer interaction according to claim 1 is characterized in that: Methods for determining target management requirements through interactive simulation models and interactive information include: Step SC1: analyzing the interaction information through the interaction simulation model to obtain management simulation data, and displaying the management simulation data to the user; Step SC2: when the management simulation data meets the user's needs, generating target management needs according to the management simulation data; and setting simulation feedback data according to the generation process of the target management needs; When the management simulation data does not meet the user's needs, the user marks the unsatisfied parts and reasons in the management simulation data and integrates them into simulation adjustment data; the interaction information is adjusted according to the simulation adjustment data to obtain new interaction information, and the process returns to step SC1.

8. The Internet of Things information management system based on human-computer interaction according to claim 1 is characterized in that: It also includes a shortcut module, which is used to perform quick interactive management of Internet of Things information, obtain human-computer interaction management records, determine quick management requirements based on the human-computer interaction management records, and set shortcut function keys based on the quick management requirements; users manage Internet of Things information through the shortcut function keys.

9. The Internet of Things information management system based on human-computer interaction according to claim 8, characterized in that: Methods for determining quick management requirements based on human-computer interaction management records include: According to the target management requirements identified in the human-computer interaction management record, a unit time period is set; and a unit time axis is generated according to the unit time period; Generate an interaction curve of the target management requirement according to the human-computer interaction management record and the unit time axis, wherein the horizontal axis of the interaction curve is the unit time axis and the vertical axis is the interaction number axis; Fitting the interaction curve to obtain an interaction function, and marking the interaction function as H(T); The interactive function is transformed through a transformation formula to obtain the screening function of the target management requirement. The transformation formula is: ZH(T)=ε -T ×H(T); Where: ZH(T) is the screening function; ε is the conversion coefficient; The screening value of the target management requirement is calculated according to the screening formula, and the screening formula is: Where: SR is the screening value; The target management requirements are screened according to the screening values ​​to determine recommended management requirements, which are recommended to the user, who then determines the quick management requirements.

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