A Smart Hotel Terminal Monitoring Method Based on Big Data

Abstract

The present invention relates to a method for monitoring intelligent hotel terminals based on big data, which includes: the first terminal detection unit of the management subsystem performs a first terminal detection on the intelligent hotel terminal. When an abnormality occurs in the intelligent hotel terminal, the second terminal detection unit performs a second terminal detection according to the first terminal detection result of the abnormal intelligent hotel terminal in other management subsystems to determine whether the intelligent hotel terminal has a first failure. The first cross-verification unit performs a first cross-verification on the intelligent hotel terminal according to the intelligent hotel terminal data associated with the first cross-verification strategy and the first cross-verification strategy. When an abnormality occurs in the intelligent hotel terminal, the second cross-verification unit performs a second cross-verification according to the first cross-verification result of the abnormal intelligent hotel terminal in other management subsystems and the second cross-verification strategy to determine whether the intelligent hotel terminal has a second failure.

Description

Technical Field

[0001] The present invention relates to the fields of big data and smart hotels, and in particular to a method for monitoring smart hotel terminals based on big data. Background Art

[0002] With the rapid development of Internet technology, all industries have been changed by the Internet. For example, in the tourism and transportation industries, the Internet has changed the tourism and transportation industries. On this basis, the Internet has also affected the traditional hotel industry, and hotels have changed from traditional models to smart hotel models.

[0003] A smart hotel refers to a hotel that has a complete intelligent system, realizes hotel digital information service technology through digitization and networking, and has applications such as the application of a hotel lighting control system and the application of a hotel air-conditioning control system.

[0004] However, due to the large number of smart hotel terminals in the smart hotel system, abnormal situations may occur in the smart hotel terminals. The failure of a smart hotel terminal will affect the normal operation of other smart hotel terminals. The existing accuracy of detecting faults in smart hotel terminals is not high, and misdetection may occur, which greatly affects the user experience of hotel customers. Summary of the Invention

[0005] In view of the deficiencies of the prior art, the present invention provides a method for detecting faults in smart hotel terminals based on big data, which includes:

[0006] S1. Each management subsystem in the smart hotel management system is initialized to obtain system inspection data of each management subsystem; the system inspection data includes: a list of smart hotel terminals of the management subsystem, a list of reference values of smart hotel terminals, and a cross-validation strategy.

[0007] S2. The first terminal detection unit in the management subsystem performs a first terminal detection on the smart hotel terminal according to the reference value of the smart hotel terminal and the smart hotel terminal data collected by the smart hotel terminal.

[0008] S3. When an abnormality occurs in the smart hotel terminal, the second terminal detection unit of the terminal monitoring module performs a second terminal detection according to the first terminal detection result of the abnormal smart hotel terminal in other management subsystems, determines whether the smart hotel terminal has a first fault, and sends the smart hotel terminal with the first fault and the smart hotel terminal data to the terminal exception handling module and the database of the smart hotel terminal monitoring platform.

[0009] S4. The first cross - verification unit of the management subsystem selects a first cross - verification strategy for the smart hotel terminal according to the system inspection data, and performs the first cross - verification on the smart hotel terminal according to the smart hotel terminal data associated with the first cross - verification strategy and the first cross - verification strategy.

[0010] S5. When an abnormality occurs in the smart hotel terminal, the second cross - verification unit of the terminal monitoring module performs a second cross - verification according to the first cross - verification result of the abnormal smart hotel terminal in other management subsystems and the second cross - verification strategy, determines whether a second fault has occurred in the smart hotel terminal, and sends the smart hotel terminal with the second fault and the smart hotel terminal data to the terminal exception handling module and the database of the smart hotel terminal monitoring platform.

[0011] S6. The terminal exception handling module processes the fault using a predefined process, generates a fault report and sends it to the hotel management staff, where the fault includes the first fault and the second fault.

[0012] According to a preferred embodiment, step S1 includes:

[0013] S1.1. The pre - processing unit in each management subsystem establishes a communication connection between the management subsystem and each smart hotel terminal in the management subsystem, and predefined a smart hotel terminal reference value for each smart hotel terminal; the smart hotel terminal reference value is the numerical range of the smart hotel terminal when it is working normally.

[0014] S1.2. The pre - processing unit predefined a cross - verification strategy for each management subsystem according to the aggregation degree among the smart hotel terminals in the management subsystem.

[0015] S1.3. The pre - processing unit analyzes and processes the smart hotel terminals, smart hotel terminal reference values and cross - verification strategies of each management subsystem to obtain the system inspection data of each management subsystem and stores it in the database of each management subsystem.

[0016] According to a preferred embodiment, the management subsystem includes: a security management subsystem, a guest room control subsystem, a guest room order subsystem and a membership order subsystem.

[0017] According to a preferred embodiment, step S4 includes:

[0018] S4.1. The first cross - verification unit selects a first cross - verification strategy for the smart hotel terminal according to the system inspection data.

[0019] S4.2. The first cross - verification unit obtains the smart hotel terminal data associated with the first cross - verification strategy, and performs the first cross - verification according to the first cross - verification strategy and the smart hotel terminal data to obtain the first cross - verification result.

[0020] S4.3. The first cross - verification unit determines whether the smart hotel terminal is abnormal based on the first cross - verification result, and stores the abnormal smart hotel terminal, smart hotel terminal data, and the first cross - verification strategy in the database of the management subsystem.

[0021] According to a preferred embodiment, the first terminal detection is that the first terminal detection unit compares the smart hotel terminal data with the smart hotel terminal reference value to determine whether the smart hotel terminal is abnormal.

[0022] According to a preferred embodiment, the second terminal detection is that the second terminal detection unit obtains a first fault identification value based on the first terminal detection result of the abnormal smart hotel terminal in other management subsystems, and compares the first fault identification value with the first fault threshold. When the first fault identification value is greater than the first fault threshold, the smart hotel terminal has a first fault; the first fault threshold is set according to user requirements.

[0023] According to a preferred embodiment, the cross - verification strategy is used to perform cross - verification on each smart hotel terminal according to the aggregation degree among the smart hotel terminals in the management subsystem; the first cross - verification strategy is the cross - verification strategy related to the smart hotel terminal being detected in the cross - verification strategy.

[0024] According to a preferred embodiment, the second cross - verification is that the second cross - verification unit obtains a second fault identification value based on the first cross - verification result and the second cross - verification strategy of the abnormal smart hotel terminal in other management subsystems, and compares the second fault identification value with the second fault threshold. When the second fault identification value is greater than the second fault threshold, the smart hotel terminal has a second fault; the second fault threshold is set according to user requirements; the second cross - verification strategy is predefined by the second cross - verification unit according to the aggregation degree among the management subsystems.

[0025] According to a preferred embodiment, if no fault is found in the second terminal detection, the second terminal detection unit determines that the first terminal detection process is abnormal and sends a feedback message of the first terminal detection abnormality to the corresponding management subsystem.

[0026] According to a preferred embodiment, if no fault is found in the second cross - verification, the second cross - verification unit determines that the first cross - verification process is abnormal and sends a feedback message of the first cross - verification abnormality to the corresponding management subsystem.

[0027] According to a preferred embodiment, step S3 further includes: the second terminal detection unit calculates a first fault identification value based on the first terminal detection result of the abnormal smart hotel terminal in other management subsystems.

[0028]

[0029] Among them, s is the first fault identification value, n is the number of management subsystems related to the intelligent hotel terminal, i is the index of the management subsystem, and r i is the first terminal detection result of the intelligent hotel terminal in the i-th management subsystem, and u i is the fault identification coefficient of the intelligent hotel terminal in the i-th management subsystem.

[0030] The present invention has the following beneficial effects:

[0031] The present invention detects whether the intelligent hotel terminal fails through dual-terminal verification, greatly improving the accuracy of fault detection of the intelligent hotel terminal. And through the second terminal detection to detect the first terminal detection process in reverse, and promptly handle the abnormality for the abnormal first terminal detection process, avoiding the situation of misjudging the fault due to the abnormality of the first terminal detection process. In addition, the present invention performs dual cross-verification on the intelligent hotel terminal, performs the first cross-verification through the aggregation degree of the intelligent hotel terminals among the management subsystems, and performs the second cross-verification on the terminals with abnormal first cross-verification, greatly improving the accuracy of cross-verification. BRIEF DESCRIPTION OF THE DRAWINGS

[0032] Figure 1 A flowchart of a method for detecting faults of an intelligent hotel terminal based on big data provided for an exemplary embodiment;

[0033] Figure 2 A structural block diagram of a system for detecting faults of an intelligent hotel terminal for implementing the method of the present invention provided for an exemplary embodiment;

[0034] Figure 3 A structural block diagram of a management subsystem provided for an exemplary embodiment. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0035] Here, the exemplary embodiments will be described in detail, and the examples are shown in the drawings. When the following description refers to the drawings, unless otherwise indicated, the same numbers in different drawings represent the same or similar elements. The embodiments described in the following exemplary embodiments do not represent all embodiments consistent with the present invention. On the contrary, they are merely examples of devices and methods consistent with some aspects of the present invention as detailed in the appended claims.

[0036] The terms used in this invention are for the purpose of describing specific embodiments only and are not intended to limit the invention. The singular forms "a", "the", and "said" used in this invention and the appended claims are also intended to include the plural forms unless the context clearly dictates otherwise. It should also be understood that the term "and / or" as used herein refers to and encompasses any and all possible combinations of one or more of the associated listed items.

[0037] It should be understood that although the terms first, second, third, etc. may be used in this invention to describe various information, such information should not be limited to these terms. These terms are only used to distinguish the same type of information from each other. For example, without departing from the scope of this invention, the first information may also be referred to as the second information, and similarly, the second information may also be referred to as the first information. Depending on the context, the word "if" as used herein may be interpreted as "when" or "upon" or "in response to determining".

[0038] See Figure 1 , in one embodiment, the method for detecting faults in intelligent hotel terminals based on big data may include:

[0039] S1. Each management subsystem in the intelligent hotel management system is initialized to obtain system inspection data of each management subsystem; the system inspection data is used to detect whether a fault occurs in the intelligent hotel terminal; the system inspection data includes: a list of intelligent hotel terminals of the management subsystem, a list of benchmark values of the intelligent hotel terminals, and a cross-verification strategy.

[0040] Optionally, the list of intelligent hotel terminals of the management subsystem is the terminal name and terminal identification information of the intelligent hotel terminals included in the management subsystem; the list of benchmark values of the intelligent hotel terminals is the benchmark value and the corresponding terminal name of each intelligent hotel terminal included in the management subsystem.

[0041] Preferably, the management subsystem includes, but is not limited to, a security management subsystem, a guest room control subsystem, a guest room order subsystem, and a membership order subsystem.

[0042] Preferably, the intelligent hotel terminal is various terminal devices deployed in a hotel environment to implement intelligent hotel application functions and jointly provide intelligent hotel services, and it includes door locks, TVs, refrigerators, air conditioners, lights, curtains, temperature sensors, humidity sensors, harmful gas sensors, sound sensors, image sensors, alarms, smoke sensors, and fire alarms.

[0043] The present invention detects each intelligent hotel terminal in the intelligent hotel management system through systematic inspection of data, and when a fault occurs in the intelligent hotel terminal, a predefined process is used or the management personnel are notified to solve the fault. This avoids the situation where the poor guest check-in experience and the personal safety of guests and hotel staff are affected due to the failure of the intelligent hotel terminal not being discovered and solved in time.

[0044] Specifically, step S1 includes:

[0045] S1.1. The preprocessing unit in each management subsystem establishes a communication connection between the management subsystem and each intelligent hotel terminal in the management subsystem, and predefined intelligent hotel terminal reference values for each intelligent hotel terminal.

[0046] Preferably, the intelligent hotel terminal reference values are used to perform the first terminal detection on the intelligent hotel terminals, and the intelligent hotel terminal reference values for each are the valid numerical ranges of each intelligent hotel terminal during normal operation.

[0047] Preferably, different management subsystems include different intelligent hotel terminals. Specifically, the hotel management personnel set the intelligent hotel terminals included in each management subsystem, and set the identification information of the intelligent hotel terminals in the management subsystem. The preprocessing unit establishes a communication connection with the intelligent hotel terminal according to the identification information, and transmits the intelligent hotel terminal data collected by the intelligent hotel terminal through the communication connection. The identification information of the intelligent hotel terminal is used to uniquely identify the intelligent hotel terminal.

[0048] Preferably, the guest room control subsystem includes intelligent hotel terminals such as door locks, TVs, refrigerators, air conditioners, lights, curtains, humidifiers, temperature sensors, and humidity sensors.

[0049] S1.2. The preprocessing unit predefined a cross-validation strategy for each management subsystem according to the aggregation degree among the intelligent hotel terminals in the management subsystem.

[0050] Preferably, the cross-validation strategy is used to perform cross-validation on each intelligent hotel terminal according to the aggregation degree among the intelligent hotel terminals in the management subsystem.

[0051] Preferably, the aggregation degree is the degree of mutual influence of the intelligent hotel terminals, which can be set in advance or calculated by the computer according to certain rules.

[0052] S1.3. The preprocessing unit analyzes and processes the intelligent hotel terminals, intelligent hotel terminal reference values, and cross-validation strategies of each management subsystem to obtain the system inspection data of each management subsystem and stores it in the database of each management subsystem.

[0053] S2. The first terminal detection unit in the management subsystem performs the first terminal detection based on the smart hotel terminal reference value and the smart hotel terminal data collected by the smart hotel terminal, determines whether the smart hotel terminal is abnormal according to the first terminal detection result, and sends the abnormal smart hotel terminal and the abnormal smart hotel terminal data to the terminal monitoring module; the smart hotel terminal reference value is the numerical range of the smart hotel terminal when it is working normally.

[0054] Preferably, the first terminal detection unit compares the smart hotel terminal data with the smart hotel terminal reference value to obtain the first terminal detection result, and determines whether the smart hotel terminal is abnormal according to the first terminal detection result. For example, if the smart hotel terminal data exceeds the smart hotel terminal reference value, it is determined that the smart hotel terminal is abnormal.

[0055] Optionally, the reference value of the air conditioner is 16 - 30 degrees. If the first terminal detection unit in the guest room control subsystem receives the data sent by a certain air conditioner indicating that the current operating temperature of the air conditioner is 40 degrees, at this time, the first terminal detection unit in the guest room control subsystem compares the reference value of the air conditioner with the operating temperature sent by the air conditioner and finds that the operating temperature of the air conditioner exceeds the reference value of the air conditioner, then the first terminal detection unit determines that the air conditioner is abnormal.

[0056] Preferably, the abnormal smart hotel terminal and the smart hotel terminal data are stored in the database of the management subsystem.

[0057] S3. The second terminal detection unit of the terminal monitoring module performs the second terminal detection according to the first terminal detection result of the abnormal smart hotel terminal in other management subsystems, determines whether the smart hotel terminal has a first fault according to the second terminal detection result, and sends the smart hotel terminal with the first fault and the smart hotel terminal data to the database of the smart hotel terminal monitoring platform.

[0058] Preferably, the second terminal detection unit obtains the first fault identification value according to the first terminal detection result of the abnormal smart hotel terminal in other management subsystems, and compares the first fault identification value with the first fault threshold. When the first fault identification value is greater than the first fault threshold, it is determined that the smart hotel terminal has a first fault. The first fault threshold is set according to user requirements, and the threshold can be a percentage or a numerical value.

[0059] Specifically, the second terminal detection unit obtaining the first fault identification value according to the first terminal detection result of the abnormal smart hotel terminal in other management subsystems includes:

[0060] The second terminal detection unit obtains the first fault detection vector of the abnormal smart hotel terminal according to the first terminal detection result of the abnormal smart hotel terminal in other management subsystems

[0061] R = [r1, r2, …, r n

[0062] where r n is the first terminal detection result of the smart hotel terminal in the nth management subsystem. The first terminal detection result is represented by the values 0 and 1. A first terminal detection result of 0 indicates that no abnormality has occurred. If the first terminal detection result is 1, it indicates that an abnormality has occurred. n is the number of management subsystems related to the smart hotel terminal, and the value of n is less than or equal to the number of management subsystems in the smart hotel management system.

[0063] The second terminal detection unit obtains the first fault coefficient vector of the abnormal smart hotel terminal

[0064] U = [u1, u2, …, u n

[0065] where n is the number of management subsystems related to the smart hotel terminal, and u n is the fault identification coefficient of the smart hotel terminal in the nth management subsystem.

[0066] The second terminal detection unit calculates the first fault identification value s according to the first fault detection vector and the first fault coefficient vector

[0067]

[0068] where n is the number of management subsystems related to the smart hotel terminal, i is the index of the management subsystem, r i is the first terminal detection result of the smart hotel terminal in the ith management subsystem, and u i is the fault identification coefficient of the smart hotel terminal in the ith management subsystem.

[0069] The second terminal detection unit determines whether the smart hotel terminal has a first fault according to the first fault identification value obtained from the first terminal detection results of the abnormal smart hotel terminal in other management subsystems. Detecting faults for the same smart hotel terminal by combining the detection results of multiple management subsystems greatly improves the accuracy of fault detection and also avoids false alarms caused by faults in the management subsystems themselves.

[0070] ​​Optionally, when a first terminal detection is performed on a certain air conditioner in the guest room control subsystem and an abnormality is found in the air conditioner, the first terminal detection unit sends the identification information of the air conditioner with the abnormality and the temperature data collected by the air conditioner to the second terminal detection unit. The second terminal detection unit receives the first terminal detection results of the air conditioner in other management subsystems according to the identification information of the air conditioner, and the second terminal detection unit performs a second terminal detection based on the received first terminal detection results of other management subsystems for the air conditioner to obtain a first fault identification value. The first fault identification value may be the probability value of an abnormality occurring when the air conditioner performs a first terminal verification in other management systems. Compare the first fault identification value with a preset first fault threshold. When the first fault identification value is greater than the first fault threshold, it is determined that the air conditioner has a first fault.

[0071] Optionally, if the second terminal detection does not find a fault, the second terminal detection unit determines that an abnormality has occurred in the first terminal detection process and sends a feedback message of the first terminal detection abnormality to the corresponding management subsystem. The management subsystem checks and repairs the software and hardware involved in the first terminal detection process according to the feedback message.

[0072] The present invention detects whether a first fault occurs in the intelligent hotel terminal through dual terminal detection, greatly improving the accuracy of the first fault detection of the intelligent hotel terminal. And the second terminal detection is used to reversely detect the first terminal detection process. When an abnormality occurs in the first terminal detection process, a feedback message of the first terminal detection process abnormality is timely sent to the corresponding management subsystem for abnormality handling, avoiding the situation of reducing the accuracy of terminal fault detection due to an abnormality occurring in the first terminal detection process itself.

[0073] S4. The first cross-verification unit of the management subsystem selects a first cross-verification strategy for the intelligent hotel terminal according to the system inspection data, and performs a first cross-verification on the intelligent hotel terminal according to the intelligent hotel terminal data associated with the first cross-verification strategy and the first cross-verification strategy. Determine whether the intelligent hotel terminal has an abnormality according to the first cross-verification result and send the abnormal intelligent hotel terminal and the intelligent hotel terminal data to the terminal monitoring module.

[0074] Specifically, S4 includes:

[0075] S4.1. The first cross-verification unit selects a first cross-verification strategy for the intelligent hotel terminal according to the system inspection data;

[0076] S4.2. The first cross-verification unit obtains the intelligent hotel terminal data associated with the first cross-verification strategy, and performs a first cross-verification according to the first cross-verification strategy and the intelligent hotel terminal data to obtain a first cross-verification result;

[0077] S4.3. The first cross - validation unit determines whether the smart hotel terminal is abnormal based on the first cross - validation result, and stores the abnormal smart hotel terminal, smart hotel terminal data, and the first cross - validation strategy in the database of the management subsystem.

[0078] The cross - validation strategy is used to perform cross - validation on each smart hotel terminal according to the aggregation degree among smart hotel terminals in the management subsystem; the first cross - validation strategy is the cross - validation strategy related to the smart hotel terminal being detected in the cross - validation strategy.

[0079] Optionally, the first cross - validation is performed on the electricity meter in the guest room control subsystem. The first cross - validation unit selects the first cross - validation strategy for the guest room electricity meter according to the system inspection data of the guest room control subsystem. For example, the cross - validation strategy for the guest room electricity meter is to perform cross - validation on the air conditioner, TV, and refrigerator. When the air conditioner, TV, and refrigerator are not running, but the guest room electricity meter indicates extremely high power consumption in the guest room at this time, it means that the guest room electricity meter is abnormal. At this time, the identification information of the abnormal guest room electricity meter, the data of the guest room electricity meter, and the first cross - validation strategy are stored in the database.

[0080] S5. The second cross - validation unit of the terminal monitoring module performs the second cross - validation according to the first cross - validation result of the abnormal smart hotel terminal in other management subsystems and the second cross - validation strategy, determines whether the smart hotel terminal has a second failure according to the second cross - validation result, and sends the smart hotel terminal with the second failure and the smart hotel terminal data to the database of the smart hotel terminal monitoring platform.

[0081] Specifically, the second cross - validation is that the second cross - validation unit obtains the second failure identification value according to the first cross - validation result of the abnormal smart hotel terminal in other management subsystems and the second cross - validation strategy, and compares the second failure identification value with the second failure threshold. When the second failure identification value is greater than the second failure threshold, it is determined that the smart hotel terminal has a second failure.

[0082] Optionally, the second failure threshold is set according to user requirements; the second cross - validation strategy is predefined by the second cross - validation unit according to the aggregation degree among management subsystems.

[0083] In one embodiment, when performing a first cross-verification on a certain guest room electric meter in the guest room control subsystem, an abnormality is found in the guest room electric meter. The first cross-verification unit sends the identification information of the guest room electric meter with the abnormality and the electricity consumption data collected by the guest room electric meter to the second cross-verification unit. The second cross-verification unit receives the first cross-verification result of the guest room electric meter in other management subsystems according to the identification information of the guest room electric meter. The second cross-verification unit performs a second cross-verification based on the received first cross-verification result of the other management subsystems for the guest room electric meter to obtain a second fault identification value. The second fault identification value can be the probability value of the electric meter having an abnormality when performing the first cross-verification in other management systems. Compare the second fault identification value with a preset second fault threshold. When the second fault identification value is greater than the second fault threshold, it is determined that the air conditioner has a second fault.

[0084] If the second cross-verification does not find a fault, the second cross-verification unit determines that the first cross-verification process is abnormal and sends a feedback message of the first cross-verification abnormality to the corresponding management subsystem. The management subsystem checks and repairs the software and hardware involved in the first terminal detection process according to the feedback message.

[0085] The present invention detects whether a second fault occurs in the intelligent hotel terminal through double cross-verification, greatly improving the accuracy of the second fault detection of the intelligent hotel terminal. And through the second cross-verification to reversely detect the first terminal cross-verification process, when the first cross-verification process is abnormal, a feedback message of the first cross-verification process abnormality is sent to the corresponding management subsystem in time for abnormality handling, avoiding the situation of reducing the accuracy of the second fault detection of the terminal due to the abnormality of the first cross-verification process itself.

[0086] S6. Process the intelligent hotel terminal with the first or second fault using a predefined process, generate a fault report and send it to the hotel management staff. The fault report includes the type of fault that occurred, the cause of the fault, etc.

[0087] Preferably, there is a communication connection between each management subsystem in the intelligent hotel management system.

[0088] The present invention detects whether a fault occurs in the intelligent hotel terminal through double terminal verification, greatly improving the accuracy of the fault detection of the intelligent hotel terminal. And through the second terminal detection to reversely detect the first terminal detection process, and timely handle the abnormality for the abnormal first terminal detection process, avoiding the situation of misjudging the fault due to the abnormality of the first terminal detection process. In addition, the present invention performs double cross-verification on the intelligent hotel terminal, performs the first cross-verification through the aggregation degree of the intelligent hotel terminal between the management subsystems, and performs the second cross-verification on the terminal with the first cross-verification abnormality. Greatly improving the accuracy of cross-verification.

[0089] See Figure 2 In one embodiment, the intelligent hotel terminal fault detection system includes an intelligent hotel management system, an intelligent hotel terminal monitoring system, and intelligent hotel terminals, where the intelligent hotel management system, the intelligent hotel terminal monitoring system, and the intelligent hotel terminals are respectively communicatively connected;

[0090] The intelligent hotel terminals are various terminal devices deployed in a hotel environment to implement intelligent hotel application functions and cooperate to provide intelligent hotel services, and include door locks, TVs, refrigerators, air conditioners, lights, curtains, temperature sensors, humidity sensors, harmful gas sensors, sound sensors, image sensors, alarms, smoke sensors, and fire alarms.

[0091] The management subsystem includes, but is not limited to, a security management subsystem, a guest room control subsystem, a guest room order subsystem, and a membership order subsystem.

[0092] The management subsystem is configured to perform a first terminal detection on the intelligent hotel terminals according to the intelligent hotel terminal reference values and the intelligent hotel terminal data collected by the intelligent hotel terminals.

[0093] The management subsystem is configured to perform a first cross-validation on the intelligent hotel terminals according to the intelligent hotel terminal data associated with the first cross-validation strategy and the first cross-validation strategy.

[0094] The intelligent hotel terminal monitoring system includes: a terminal monitoring module, a terminal exception handling module, and a database.

[0095] The terminal monitoring module is configured to perform a second terminal detection according to the first terminal detection result of the abnormal intelligent hotel terminal in other management subsystems to determine whether the intelligent hotel terminal has a first fault.

[0096] The terminal monitoring module is configured to perform a second cross-validation according to the first cross-validation result of the abnormal intelligent hotel terminal in other management subsystems and the second cross-validation strategy to determine whether the intelligent hotel terminal has a second fault.

[0097] The terminal exception handling module is configured to handle faults using a predefined process and generate a fault report, and then send the fault report to hotel management personnel, where the faults include the first fault and the second fault.

[0098] See Figure 3 In one embodiment, the management subsystem includes: a preprocessing unit, a first terminal detection unit, a first cross-validation unit, and a database.

[0099] The preprocessing unit is configured to establish a communication connection between the management subsystem and each intelligent hotel terminal in the management subsystem, and predefined intelligent hotel terminal reference values for each intelligent hotel terminal.

[0100] The preprocessing unit is further configured to predefined cross - validation strategies for each management subsystem according to the aggregation degree among smart hotel terminals within the management subsystem, and process the cross - validation strategies and the benchmark values of the smart hotel terminals to obtain system inspection data.

[0101] The first terminal detection unit is configured to compare the smart hotel terminal data with the benchmark values of the smart hotel terminals to determine whether the smart hotel terminals are abnormal.

[0102] The first cross - validation unit is configured to select a first cross - validation strategy for the smart hotel terminals according to the system inspection data, and perform a first cross - validation according to the first cross - validation strategy and the associated smart hotel terminal data to determine whether the smart hotel terminals are abnormal.

[0103] In one embodiment, the terminal monitoring module includes: a second terminal detection unit and a second cross - validation unit.

[0104] The second terminal detection unit is configured to perform a second terminal detection according to the first terminal detection results of the abnormal smart hotel terminals in other management subsystems to determine whether the smart hotel terminal has a first failure.

[0105] The second cross - validation unit is configured to perform a second cross - validation according to the first cross - validation results of the abnormal smart hotel terminals in other management subsystems and the second cross - validation strategy to determine whether the smart hotel terminal has a second failure.

[0106] As described above, only the specific embodiments of the present invention are provided, but the protection scope of the present invention is not limited thereto. Any person skilled in the art within the technical scope disclosed by the present invention can easily think of changes or substitutions, which should all be covered by the protection scope of the present invention. Therefore, the protection scope of the present invention shall be subject to the protection scope of the claims.

Claims

1. A method for monitoring a smart hotel terminal based on big data, characterized in that, It includes: Initializing each management subsystem in the intelligent hotel management system to obtain the system inspection data of each management subsystem; The system inspection data includes the intelligent hotel terminal list, the intelligent hotel terminal benchmark value list, and the cross-validation strategy of the management subsystem; The management subsystem includes: a security management subsystem, a guest room control subsystem, a guest room order subsystem, and a membership order subsystem; the intelligent hotel terminal is a terminal device deployed in a hotel environment to implement intelligent hotel application functions and jointly provide intelligent hotel services, and it includes a door lock, a TV, a refrigerator, an air conditioner, a lamp, a curtain, a temperature sensor, a humidity sensor, a smoke sensor, and a fire alarm; The first terminal detection unit of the management subsystem performs the first terminal detection on the intelligent hotel terminal according to the intelligent hotel terminal benchmark value and the intelligent hotel terminal data collected by the intelligent hotel terminal, and then determines whether the intelligent hotel terminal is abnormal according to the first terminal detection result; When the intelligent hotel terminal is abnormal, the abnormal intelligent hotel terminal and the abnormal intelligent hotel terminal data are sent to the terminal monitoring module; The second terminal detection unit of the terminal monitoring module performs the second terminal detection according to the first terminal detection result of the abnormal intelligent hotel terminal in other management subsystems to determine whether the intelligent hotel terminal has a first failure; The first cross-validation unit of the management subsystem selects the first cross-validation strategy for the intelligent hotel terminal according to the system inspection data, and performs the first cross-validation on the intelligent hotel terminal according to the intelligent hotel terminal data associated with the first cross-validation strategy and the first cross-validation strategy; When the intelligent hotel terminal is abnormal, the second cross-validation unit of the terminal monitoring module performs the second cross-validation according to the first cross-validation result of the abnormal intelligent hotel terminal in other management subsystems and the second cross-validation strategy to determine whether the intelligent hotel terminal has a second failure; The terminal exception handling module processes the failure using a predefined process and generates a failure report, and then sends the failure report to the hotel management staff.

2. The method according to claim 1, characterized in that, Initializing each management subsystem in the intelligent hotel management system to obtain the system inspection data of each management subsystem, including: The preprocessing unit of each management subsystem establishes a communication connection between the management subsystem and each intelligent hotel terminal in the management subsystem, and predefined the intelligent hotel terminal benchmark value for each intelligent hotel terminal; the intelligent hotel terminal benchmark value is the numerical range when the intelligent hotel terminal is working normally; The preprocessing unit predefined the cross-validation strategy for each management subsystem according to the aggregation degree among the intelligent hotel terminals in the management subsystem; The preprocessing unit analyzes and processes the intelligent hotel terminals, the intelligent hotel terminal benchmark values, and the cross-validation strategies of each management subsystem to obtain the system inspection data of each management subsystem and stores it in the database of each management subsystem.

3. The method according to claim 2, wherein The first cross-validation unit selects the first cross-validation strategy for the intelligent hotel terminal according to the system inspection data; The first cross-validation unit obtains the intelligent hotel terminal data associated with the first cross-validation strategy, and performs the first cross-validation according to the first cross-validation strategy and the intelligent hotel terminal data to obtain the first cross-validation result; The first cross-validation unit determines whether the intelligent hotel terminal is abnormal according to the first cross-validation result, and stores the abnormal intelligent hotel terminal, the intelligent hotel terminal data, and the first cross-validation strategy into the database of the management subsystem.

4. The method according to claim 3, characterized in that, The first terminal detection is that the first terminal detection unit compares the intelligent hotel terminal data with the intelligent hotel terminal reference value to determine whether the intelligent hotel terminal is abnormal.

5. The method according to any one of claims 1 to 4, characterized in that, The second terminal detection is that the second terminal detection unit obtains the first fault identification value according to the first terminal detection result of the abnormal intelligent hotel terminal in other management subsystems, and compares the first fault identification value with the first fault threshold.

6. The method according to claim 5, wherein The second terminal detection unit calculates the first fault identification value according to the first terminal detection result of the abnormal intelligent hotel terminal in other management subsystems. ， Among them, s is the first fault identification value, n is the number of management subsystems related to the intelligent hotel terminal, i is the index of the management subsystem, and r i is the first terminal detection result of the intelligent hotel terminal in the i-th management subsystem, and u i is the fault identification coefficient of the intelligent hotel terminal in the i-th management subsystem.

7. The method according to claim 6, wherein The second cross-validation is that the second cross-validation unit obtains the second fault identification value according to the first cross-validation result of the abnormal intelligent hotel terminal in other management subsystems and the second cross-validation strategy, and compares the second fault identification value with the second fault threshold.

8. The method according to claim 7, wherein When no fault is found in the second cross-validation, the second cross-validation unit determines that the first cross-validation process is abnormal, and sends a feedback message of the first cross-validation abnormality to the corresponding management subsystem.

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