Intelligent room state monitoring method and monitoring system for hotel

Abstract

The invention discloses a hotel intelligent room state monitoring method and system, and belongs to the technical field of hotel room state monitoring, and the method comprises the steps that a data processing center receives first monitoring data and first authority data, determines a room state according to the first monitoring data, and generates a personalized service library according to the first authority data; performing standardization processing on the first permission data, performing dediscretization processing on the first permission data, and performing classified transmission; encrypting the first permission data subjected to the discretization removal processing; and establishing a privacy risk assessment model, and monitoring the whole data processing flow. In the implementation process of the technical scheme provided by the invention, all data processing activities are ensured to be carried out within a user authorization range by implementing an authority management mechanism, and meanwhile, the security of the user data in the storage and transmission process is ensured in combination with the temporary storage identifier, so that continuously changing user requirements and privacy protection requirements are adapted, and the user experience is improved. And the overall intelligent level of hotel service is improved.

Description

Technical Field

[0001] The present application relates to the technical field of hotel room status monitoring, and specifically to an intelligent hotel room status monitoring method and monitoring system. Background Art

[0002] With the continuous development of the hotel industry, intelligent hotel management has become a popular trend in the hotel management process. In the intelligent management process, room status monitoring is particularly important. Room status monitoring refers to real-time monitoring and management of the status and availability of the room to ensure the rational use and efficient management of room resources.

[0003] With the development of intelligence, hotel room status management has gradually transitioned from manual intervention in the past to automated control. This transformation has greatly improved the hotel's service quality and efficiency, while also providing guests with a more comfortable and convenient experience. For example, through various sensors to collect information on room status and combined with big data analysis of the central processing system, it can timely predict and respond to room needs, thereby providing users with personalized services, and automatically optimize and adjust pricing strategies based on the real-time status of the room, reducing management difficulty. The degree of intelligence in hotel management is getting higher and higher.

[0004] However, the existing hotel room status monitoring process still has certain limitations. For example, in order to provide users with personalized services, it is often necessary to obtain some of the user's private information. Although this private information can improve the service quality to a certain extent, it also has the risk of being abused. How to balance user experience and privacy security in the process of room status monitoring has become an urgent problem to be solved in the current hotel intelligent management.

[0005] Therefore, it is necessary to provide a hotel intelligent room status monitoring method and monitoring system to solve the above problems.

[0006] It should be noted that the above information disclosed in this background technology section is only for understanding the background technology of the present application concept, and therefore, it may contain information that does not constitute the prior art. Summary of the invention

[0007] Based on the above-mentioned problems existing in the prior art, the problem to be solved by this application is: to provide an intelligent hotel room status monitoring method and monitoring system, by matching the user's authorized permission data with the room status information, so as to achieve accurate recommendation, and use temporary storage identification in the process of using permission data to protect user privacy and security.

[0008] The technical solution adopted by the present application to solve the technical problem is: a hotel intelligent room status monitoring method, comprising:

[0009] The data processing center receives the first monitoring data and the first authority data, confirms the room status according to the first monitoring data, and generates a personalized service library according to the first authority data, wherein the first monitoring data is measured by the collection device, and the first authority data is obtained by the user's authorization;

[0010] Standardizing the first authority data, de-discretizing the first authority data, and classifying and transmitting the first authority data;

[0011] The first permission data after the de-discretization process is encrypted and temporarily stored in the data processing center. During the encryption process, a temporary storage identifier is generated, which serves as the only credential for the data to flow within the processing center.

[0012] Establish a privacy risk assessment model, monitor the entire data processing process, and conduct regular risk assessments to ensure the effectiveness of privacy protection measures.

[0013] During the implementation of the technical solution of this application, by implementing a permission management mechanism, it is ensured that all data processing activities are carried out within the scope of user authorization. At the same time, combined with temporary storage identification, the security of user data during storage and transmission is guaranteed, thereby adapting to the ever-changing user needs and privacy protection requirements and improving the overall intelligence level of hotel services.

[0014] Furthermore, the standardization processing of the first authority data includes:

[0015] Establish an adaptive standardized range selection model and determine at least one standardized range; generate multiple groups of standardized ranges for all first authority data according to the adaptive standardized range selection model, and aggregate the generated standardized ranges of various types of first authority data to form de-discretized first authority data; classify and transmit the de-discretized first authority data.

[0016] Furthermore, the operating method of the adaptive standardized range selection model includes: first traversing all first permission data, and assigning values ​​to the first permission data according to their importance, and after the assignment is completed, selecting one type of first permission data, determining the maximum value of this type of first permission data, that is, the maximum value and the minimum value, and performing endpoint calculation based on the maximum value and the minimum value of this type of data to obtain two endpoints of the standardized range, and the range formed by the two endpoints is the standardized range.

[0017] Furthermore, other data in the first authority data are standardized and mapped, and the mapping rule is: the value after standardized mapping is equal to the ratio of the difference between the original data and the minimum value to the maximum value difference, where the maximum value difference is the maximum value minus the minimum value.

[0018] Furthermore, the first authority data after de-discretization is encrypted using a privacy loss measurement method, and a temporary identifier is generated. The temporary identifier is transmitted synchronously with the first authority data. The generation of the temporary identifier adopts an access-based strategy. When an access request or access record other than the temporary identifier appears in the first authority data, the temporary identifier is automatically destroyed. When the temporary identifier is destroyed, the transmission process is immediately interrupted, and all temporarily stored first authority data are deleted.

[0019] Furthermore, the generation of the temporary storage identifier adopts an access-based temporary storage strategy. When the first permission data is accessed, session information and a current timestamp are automatically generated, and a unique session ID is generated based on the session information. The session ID and the current timestamp are combined as the temporary storage identifier.

[0020] Furthermore, after the data transmission is completed or a preset time is reached, the temporary storage mark is automatically destroyed, the transmission process is interrupted, and the temporarily stored first authority data is deleted.

[0021] Furthermore, the privacy risk assessment model is differential privacy or data lifecycle management.

[0022] A hotel intelligent room status monitoring system, comprising:

[0023] The data receiving and room status confirmation module is used for the data processing center to receive the first monitoring data and the first authority data, and to confirm the room status according to the first monitoring data, and to generate a personalized service library according to the first authority data. The first monitoring data is measured by the collection device, and the first authority data is obtained by the user's authorization;

[0024] A standardization processing and classified transmission module, used for standardizing the first authority data, de-discretizing the first authority data, and performing classified transmission;

[0025] A data encryption module is used to encrypt the first authority data after the discretization process and temporarily store it in the data processing center. When encrypting, a temporary storage identifier is generated, which serves as the only credential for the data to flow within the processing center;

[0026] The privacy risk assessment module is used to establish a privacy risk assessment model, monitor the entire data processing process, and conduct regular risk assessments to ensure the effectiveness of privacy protection measures.

[0027] The beneficial effect of the present application is as follows: the present application provides an intelligent hotel room status monitoring method and monitoring system, which ensures that all data processing activities are carried out within the scope of user authorization by implementing a permission management mechanism. At the same time, combined with temporary storage identification, the security of user data during storage and transmission is guaranteed, thereby adapting to the ever-changing user needs and privacy protection requirements, and improving the overall intelligence level of hotel services.

[0028] In addition to the above-described purposes, features and advantages, the present application also has other purposes, features and advantages. The present application will be further described in detail with reference to the drawings. BRIEF DESCRIPTION OF THE DRAWINGS

[0029] The drawings in the specification, which constitute a part of the present application, are used to provide further understanding of the present application. The illustrative embodiments of the present application and their descriptions are used to explain the present application and do not constitute improper limitations on the present application.

[0030] In the attached picture:

[0031] Figure 1 This is a schematic diagram of the overall process of an intelligent hotel room status monitoring method in this application;

[0032] Figure 2 This is a schematic diagram of the module structure of an intelligent hotel room status monitoring system in this application. DETAILED DESCRIPTION

[0033] It should be noted that, in the absence of conflict, the embodiments and features in the embodiments of the present application can be combined with each other. The present application will be described in detail below with reference to the accompanying drawings and in combination with the embodiments.

[0034] In order to enable those skilled in the art to better understand the solution of the present application, the technical solution in the embodiments of the present application will be clearly and completely described below in conjunction with the drawings in the embodiments of the present application. Obviously, the described embodiments are only part of the embodiments of the present application, not all of the embodiments. Based on the embodiments in the present application, all other embodiments obtained by ordinary technicians in this field without creative work should fall within the scope of protection of the present application.

[0035] Embodiment 1: Figure 1 As shown, the present application provides a hotel intelligent room status monitoring method, which is applied to intelligent hotel room status monitoring, and can improve user experience while taking into account user privacy and security. The monitoring method includes the following steps:

[0036] Step 10: The data processing center receives the first monitoring data and the first authority data, confirms the room status according to the first monitoring data, and generates a personalized service library according to the first authority data. The first monitoring data is measured by the collection device, and the first authority data is obtained by the user's authorization;

[0037] In order to monitor the hotel room status information, it is necessary to collect the hotel room status data through the collection equipment, and upload the collected hotel room status data to the data processing center for analysis and processing, wherein the collection equipment is arranged in each room, such as various sensors, distributed collection systems, etc., which are not described in detail in this embodiment. The data processing center refers to a central module with functions such as data analysis. In this embodiment, the data processing center can be an industrial computer device or a plurality of edge devices. It can be understood that there is a data transmission channel between the data processing center and the collection equipment, and the channel can be wired or wireless, and there is no specific limitation;

[0038] In order to provide personalized services to users, the data processing center, in addition to receiving the first monitoring data collected by the collection device, will also receive the first permission data uploaded from the user device end, where the user device end includes but is not limited to mobile devices, fixed devices with data uploading functions, etc. The first permission data includes but is not limited to personalized privacy data such as user basic information (such as height, weight, etc.), check-in history, and medical data. These personalized privacy data can provide more accurate matching for housing recommendations for users, thereby generating a personalized service library based on individuals. It should be noted that these personalized privacy data must be used under the premise of user authorization, and these personalized privacy data will only be temporarily stored in the data processing center and automatically deleted after matching is completed to ensure the privacy security of users;

[0039] In order to match with the user, the room status needs to be confirmed according to the first monitoring data, such as whether the room is occupied, whether the environmental parameters such as the cleaning status, temperature and humidity are suitable. After confirming the room status, the data processing center will match the room status information with the first authority data to provide personalized room recommendations. For example, if the user prefers a room with a lower temperature, the system will give priority to recommending rooms with a lower current temperature and that are not occupied. In addition, the system will also consider the user's check-in history, such as the room type and floor preference that the user has selected, to further optimize the recommendation results. By matching the room status with personal data, the system can provide users with personalized services, thereby improving customer satisfaction and hotel operation efficiency.

[0040] Among them, the confirmation of the room status can refer to the existing technology, such as the invention patent with announcement number CN118331082B, which will not be repeated in this embodiment;

[0041] Step 20: standardize the first authority data, de-discretize the first authority data, and classify and transmit the first authority data;

[0042] In the process of hotel room status monitoring, since the personalized privacy data of the user is of vital importance, it is also necessary to perform standardization processing on the first authority data so that it cannot be directly identified and interpreted, thereby reducing the risk of privacy leakage. In this embodiment, the second authority data is generated by performing standardization processing on the first authority data. The second authority data can only be identified by the data processing center, and even if it is accidentally intercepted or leaked before the acceptance is completed, it cannot be identified and cracked. Specifically, the standardization processing of the first authority data includes the following steps:

[0043] Step 201: Establish an adaptive standardized range selection model and determine at least one standardized range;

[0044] Before standardizing the first authority data, a standardization range must first be selected so that the first authority data after standardization falls within the selected standardization range to meet the analysis and processing requirements of the data processing center. Different standardization range selection methods will affect the analysis results of the first authority data, so a selection is required;

[0045] At present, the common method of selecting the standardized range is usually to select the standardized range according to domain knowledge or specific needs, and to select the standardized range according to experience or common sense in a specific scenario. However, in this embodiment, since the type, distribution and size of the first authority data are not fixed, the conventional domain knowledge method cannot be applied to the analysis and processing of the first authority data. Therefore, when determining the standardized range, it is necessary to establish an adaptive standardized range selection model to dynamically determine the standardized range according to the first authority data. Specifically, the operation method of the adaptive standardized range selection model is as follows:

[0046] First, all first permission data are traversed, and the first permission data are assigned values ​​according to their importance. After the assignment is completed, one type of first permission data is selected, and the maximum value of the first permission data of this type, that is, the maximum value and the minimum value, is determined. Endpoint calculation is performed based on the maximum value and the minimum value of the data of this type to obtain the two endpoints of the standardized range. The range formed by the two endpoints is the standardized range;

[0047] Since the first authority data is non-quantitative data, it is necessary to assign a value to it after determining the standardized range, so as to facilitate the subsequent operation process. Specifically, when assigning a value to the first authority data, a fuzzy mathematical method is used, combined with the user privacy protection level, to convert the non-quantitative first authority data into quantitative data, thereby realizing the standardized processing of the data. The use of the fuzzy mathematical method can refer to the existing technology and will not be described in detail in this embodiment.

[0048] For other data in the first permission data of this type, it is necessary to perform standardized mapping according to the adaptive standardized range selection model, and the mapping rule is: the value after standardized mapping is equal to the ratio of the difference between the original data and the minimum value and the maximum value difference, where the maximum value difference is the maximum value minus the minimum value. The specific meaning of the above mapping rule in this embodiment is that each data point in a certain type of first permission data is subtracted from the minimum value, and then divided by the difference between the maximum value and the minimum value to obtain the standardized value;

[0049] After preliminary processing by the above-mentioned adaptive standardization model, a certain category of first permission data in the first data set will form a standardized range based on the maximum and minimum values ​​in its data set, and then other first permission data in the category will be mapped one by one to the standardized range through mapping rules. This method can adapt to changes in the data set, because the privacy permissions authorized by each user are different, and there are also differences between the same privacy permissions. At the same time, the standardized range is determined based on the maximum and minimum values ​​in the data. When the privacy permission data changes, the maximum and minimum values ​​will also change, thereby updating the standardized range. This ensures that the standardized processing of the data is always within the appropriate range.

[0050] Step 202: Generate multiple groups of standardized ranges for all first authority data according to the adaptive standardized range selection model, and aggregate the generated standardized ranges of various types of first authority data to form de-discretized first authority data;

[0051] In the above step 201, only the standardized range selection is performed for one type of first authority data, and the first authority data contains different data of different users, so multiple standardized ranges will be generated accordingly. These standardized ranges can centrally represent the first authority data of different users, reduce the discrete characteristics of the first authority data, and facilitate the centralized processing of the first authority data by the data processing center. In addition, the information loss, low transmission efficiency, and difficulty in recovery caused by the discrete characteristics of the first authority data can be prevented during the transmission of the first authority data. In the process of standardizing the first authority data in the first data set, subsequent transmission is facilitated;

[0052] Step 203: Classify and transmit the de-discretized first authority data.

[0053] In the above standardization process, the first authority data will be split into multiple de-discrete data after standardization. In the subsequent data transmission, one or more categories of first authority data can be classified and transmitted, so that the data processing center can perform parallel processing when performing data analysis, thereby improving the efficiency of data processing. At the same time, in the process of classified transmission, the impact of noise is smaller than that of simultaneous transmission of multiple categories of data, thereby reducing the impact of the first authority data on the analysis results during the transmission process;

[0054] Step 30: encrypt the first authority data after the discretization process and temporarily store it in the data processing center. When encrypting, generate a temporary storage identifier, which serves as the only credential for data circulation within the processing center;

[0055] Although the user's private data is difficult to be directly identified after quantification and standardization, it can still be decrypted when the standardized processing method and quantification standard are obtained, which leads to the leakage of user's private data. Therefore, it is also necessary to encrypt the first permission data after discretization to ensure data security. After encryption, it is temporarily stored in the data processing center for subsequent analysis and use.

[0056] Specifically, the first permission data after the discretization process is encrypted by using a privacy loss measurement method. The privacy loss measurement is a privacy protection technology. Through differential privacy and privacy budget mechanisms, the risk of privacy leakage that may occur during data use can be quantified. When the privacy loss measurement is used, a temporary identifier is generated. The temporary identifier is synchronously transmitted with the first permission data. The generation of the temporary identifier adopts an access-based strategy. When the first permission data has an access request or access record other than the temporary identifier, the temporary identifier is automatically destroyed. When the temporary identifier is destroyed, the transmission process is immediately interrupted, and all temporarily stored first permission data are deleted, thereby further protecting user privacy security;

[0057] The generation of temporary storage identification adopts an access-based temporary storage strategy. When the first permission data is accessed, the session information and the current timestamp are automatically generated, and a unique session ID is generated according to the session information. The session ID is combined with the current timestamp to generate a temporary storage identification. After the data transmission is completed or the preset time is reached, the temporary storage identification is automatically destroyed, and the transmission process is interrupted at the same time, and the temporarily stored first permission data is deleted, thereby ensuring privacy security;

[0058] Step 40: Establish a privacy risk assessment model to monitor the entire data processing process and conduct regular risk assessments to ensure the effectiveness of privacy protection measures.

[0059] During the entire data processing process, monitoring is carried out by establishing a privacy risk assessment model, and the risks of the data processing process are evaluated by integrating multiple data and behaviors. When the risk is relatively high, an early warning is issued in a timely manner. The privacy risk assessment model can adopt methods such as differential privacy and data lifecycle management. For details, please refer to the existing technology and will not be described in detail in this embodiment.

[0060] Embodiment 2: Figure 2As shown, the present application also proposes an intelligent hotel room status monitoring system, which runs the monitoring method in embodiment 1, and the monitoring system includes:

[0061] The data receiving and room status confirmation module is used for the data processing center to receive the first monitoring data and the first authority data, and to confirm the room status according to the first monitoring data, and to generate a personalized service library according to the first authority data. The first monitoring data is measured by the collection device, and the first authority data is obtained by the user's authorization;

[0062] A standardization processing and classified transmission module, used for standardizing the first authority data, de-discretizing the first authority data, and performing classified transmission;

[0063] A data encryption module is used to encrypt the first authority data after the discretization process and temporarily store it in the data processing center. When encrypting, a temporary storage identifier is generated, which serves as the only credential for the data to flow within the processing center;

[0064] The privacy risk assessment module is used to establish a privacy risk assessment model, monitor the entire data processing process, and conduct regular risk assessments to ensure the effectiveness of privacy protection measures.

[0065] The above description is only the preferred embodiment of the present application and is not intended to limit the present application. For those skilled in the art, the present application may have various modifications and variations. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present application shall be included in the protection scope of the present application.

Claims

1. A hotel intelligent room status monitoring method, characterized in that: include: The data processing center receives the first monitoring data and the first authority data, confirms the room status according to the first monitoring data, and generates a personalized service library according to the first authority data, wherein the first monitoring data is measured by the collection device, and the first authority data is obtained by the user's authorization; Standardizing the first authority data, de-discretizing the first authority data, and classifying and transmitting the first authority data; The first permission data after the de-discretization process is encrypted and temporarily stored in the data processing center. During the encryption process, a temporary storage identifier is generated, which serves as the only credential for the data to flow within the processing center. Establish a privacy risk assessment model, monitor the entire data processing process, and conduct regular risk assessments to ensure the effectiveness of privacy protection measures.

2. A hotel intelligent room status monitoring method according to claim 1, characterized in that: The standardization process of the first authority data includes: Establish an adaptive standardized range selection model and determine at least one standardized range; generate multiple groups of standardized ranges for all first authority data according to the adaptive standardized range selection model, and aggregate the generated standardized ranges of various types of first authority data to form de-discretized first authority data; classify and transmit the de-discretized first authority data.

3. A hotel intelligent room status monitoring method according to claim 2, characterized in that: The operating method of the adaptive standardized range selection model includes: first traversing all the first permission data, and assigning values ​​to the first permission data according to their importance. After the assignment is completed, one category of the first permission data is selected, and the maximum value of the first permission data of this category, that is, the maximum value and the minimum value, is determined. Endpoint calculation is performed based on the maximum value and the minimum value of this category of data to obtain the two endpoints of the standardized range. The range formed by the two endpoints is the standardized range.

4. The intelligent hotel room status monitoring method according to claim 3 is characterized in that: Standardized mapping is performed on other data in the first authority data, and the mapping rule is: the value after standardized mapping is equal to the ratio of the difference between the original data and the minimum value to the maximum value difference, where the maximum value difference is the maximum value minus the minimum value.

5. The intelligent hotel room status monitoring method according to claim 1, characterized in that: The first authority data after de-discretization is encrypted using a privacy loss measurement method, and a temporary identifier is generated. The temporary identifier is transmitted synchronously with the first authority data. The generation of the temporary identifier adopts an access-based strategy. When an access request or access record other than the temporary identifier appears in the first authority data, the temporary identifier is automatically destroyed. When the temporary identifier is destroyed, the transmission process is immediately interrupted, and all temporarily stored first authority data are deleted.

6. A hotel intelligent room status monitoring method according to claim 5, characterized in that: The generation of the temporary storage identifier adopts an access-based temporary storage strategy. When the first permission data is accessed, session information and a current timestamp are automatically generated, and a unique session ID is generated based on the session information. The session ID and the current timestamp are combined as the temporary storage identifier.

7. The intelligent hotel room status monitoring method according to claim 5 is characterized in that: After the data transmission is completed or the preset time is reached, the temporary storage mark is automatically destroyed, the transmission process is interrupted, and the temporarily stored first authority data is deleted.

8. The intelligent hotel room status monitoring method according to claim 1, characterized in that: The privacy risk assessment model is differential privacy or data lifecycle management.

9. An intelligent hotel room status monitoring system, characterized by: include: The data receiving and room status confirmation module is used for the data processing center to receive the first monitoring data and the first authority data, and to confirm the room status according to the first monitoring data, and to generate a personalized service library according to the first authority data. The first monitoring data is measured by the collection device, and the first authority data is obtained by the user's authorization; A standardization processing and classified transmission module, used for standardizing the first authority data, de-discretizing the first authority data, and performing classified transmission; A data encryption module is used to encrypt the first authority data after the discretization process and temporarily store it in the data processing center. When encrypting, a temporary storage identifier is generated, which serves as the only credential for the data to flow within the processing center; The privacy risk assessment module is used to establish a privacy risk assessment model, monitor the entire data processing process, and conduct regular risk assessments to ensure the effectiveness of privacy protection measures.

10. The intelligent hotel room status monitoring system according to claim 9, characterized in that: Used to implement the hotel intelligent room status monitoring method as described in any one of claims 1 to 8.

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