A method and system for monitoring energy consumption of hotel guest rooms

Abstract

The present invention provides an energy consumption monitoring method and system for hotel guest rooms, which are applied to the field of energy consumption data processing. The present invention effectively solves the problem that energy consumption anomalies caused by different guest needs are difficult to be discovered in time through various means such as precise monitoring, detailed analysis, dynamic adjustment and multi-dimensional monitoring. By timely discovering and processing energy consumption anomalies, energy waste can be significantly reduced, the hotel's energy management level can be improved, the equipment operation efficiency can be improved, and ultimately the goal of energy saving and consumption reduction can be achieved.

Description

Technical Field

[0001] The invention relates to the field of energy consumption data processing, and in particular to an energy consumption monitoring method and system for hotel guest rooms. Background Art

[0002] Hotels in modern society, while providing guests with a comfortable environment, thoughtful, fast and high-quality services and meeting various customer needs, also need to minimize hotel operating costs and improve hotel efficiency and benefits. Therefore, in the actual operation of the hotel, the hotel's energy consumption is a major expenditure item in the hotel's operating costs.

[0003] At present, each guest room in the hotel will use different energy consumption due to different needs after different guests check in, resulting in abnormal energy consumption in the guest room being difficult to detect in time. If it is not due to the needs of the guests, it will lead to unnecessary waste of energy. Summary of the invention

[0004] The present invention aims to solve the problem that each guest room set up in a hotel will use different energy consumption amounts due to different needs after different guests check in, which makes it difficult to detect energy consumption anomalies in the guest room in time and leads to unnecessary waste of energy. A method and system for monitoring energy consumption of hotel guest rooms are provided.

[0005] The present invention adopts the following technical means to solve the technical problem:

[0006] The present invention provides a method for monitoring energy consumption of hotel guest rooms, comprising:

[0007] Based on the preset upper limit of energy consumption monitoring for the guest room by the hotel terminal, the daily energy consumption of the guest room is regularly collected;

[0008] Determining whether the daily energy consumption exceeds the energy consumption monitoring upper limit;

[0009] If yes, then identify the housing status of the guest room, classify the abnormal energy-consuming devices in the guest room according to the housing status, collect the abnormal duration of the abnormal energy-consuming devices, obtain the energy consumption fluctuation data of the abnormal energy-consuming devices according to the abnormal duration, compare the housing status with the energy consumption fluctuation data, and generate the occupancy abnormality weight value of the guest room, wherein the housing status specifically includes occupied and vacant;

[0010] Determining whether the check-in abnormality weight value reaches a preset weight;

[0011] If not, a collaborative operation mechanism for the abnormal energy consumption equipment is constructed from the abnormal energy consumption equipment in the hotel terminal cluster, and based on the collaborative operation mechanism, the abnormal energy consumption equipment exchanges data within a preset time period, and the operating status of the abnormal energy consumption equipment is adaptively adjusted. Abnormal rules for the abnormal energy consumption equipment are uploaded according to the operating status, wherein the operating status specifically includes turning on, off and adjusting power, and the abnormal rules specifically include frequency abnormality, mode abnormality and response abnormality.

[0012] Furthermore, after the step of classifying the abnormal energy-consuming devices in the guest room according to the housing status and collecting the abnormal duration of the abnormal energy-consuming devices, the method further includes:

[0013] Based on the pre-built energy-consuming device connection relationship of the hotel terminal, identifying the associated energy-consuming devices in the guest room;

[0014] Determining whether the associated energy-consuming devices detect energy consumption anomalies at the same time;

[0015] If so, then based on the abnormal energy consumption data pre-collected by the hotel terminal, the abnormal environmental parameters caused by the abnormal energy consumption data in the guest room are obtained, and the historical energy consumption data and the operating status data are collected from the associated energy consumption equipment. Based on the historical energy consumption data and the operating status data, an operating energy consumption baseline of the associated energy consumption equipment is generated in the hotel terminal, and the abnormal characteristics and change trends of the associated energy consumption equipment are identified through the operating energy consumption baseline, wherein the abnormal environmental parameters specifically include temperature, humidity and voltage.

[0016] Furthermore, the step of acquiring the energy consumption fluctuation data of the abnormal energy-consuming equipment according to the duration of the abnormality, comparing the housing status with the energy consumption fluctuation data, and generating the abnormal occupancy weight value of the guest room further includes:

[0017] Obtaining equipment usage information of the guest room during a preset check-in period;

[0018] Determining whether the device usage information matches the abnormal energy consumption device;

[0019] If so, the failure influencing factors of the abnormal energy consumption equipment on the guest room are identified, the abnormal energy consumption equipment is remotely controlled through the hotel terminal to make an abnormal response, the use rights of the abnormal energy consumption equipment are briefly recovered based on the abnormal response, the failure influencing factors are fed back to the guest room, and the use rights of the abnormal energy consumption equipment are re-granted to the guest room based on the feedback content, wherein the failure influencing factors specifically include electrical impact, environmental impact and compatibility impact.

[0020] Furthermore, the step of constructing a collaborative operation mechanism of the abnormal energy consumption equipment from the abnormal energy consumption equipment in the hotel terminal cluster further includes:

[0021] Based on the energy consumption optimization strategy predefined by the hotel terminal, collecting the load value corresponding to the current load type of the guest room;

[0022] Determining whether the load value exceeds a preset threshold value of a single abnormal energy consumption device;

[0023] If so, activate the backup energy-consuming equipment corresponding to the current load type in the guest room, transfer the load task of the abnormal energy-consuming equipment to the backup energy-consuming equipment, and apply the preset dynamic load balancing to perform shift operation between the backup energy-consuming equipment and the abnormal energy-consuming equipment according to the preset operating time period and energy consumption characteristics of the abnormal energy-consuming equipment, and generate the collaborative load tasks to be executed by the backup energy-consuming equipment and the abnormal energy-consuming equipment according to the load value.

[0024] Furthermore, the step of determining whether the daily energy consumption exceeds the energy consumption monitoring upper limit further includes:

[0025] Based on the occupancy status of the guest room pre-queried by the hotel terminal, identifying the user staying in the guest room;

[0026] Determining whether the staying user has stayed in the guest room for more than a preset period of time;

[0027] If not, the daily energy consumption is reset in the hotel terminal, and the continuous energy consumption generated when the energy-consuming equipment is in operation is re-collected according to the time node preset by the hotel terminal.

[0028] Furthermore, the step of determining whether the abnormal check-in weight value reaches a preset weight further includes:

[0029] Based on the weight factors preset by the hotel terminal, the abnormal weight value of the check-in user changing in the guest room is calculated in real time, wherein the weight factors specifically include energy consumption data, equipment status, check-in time, external environment and user behavior;

[0030] Determining whether the abnormal check-in weight value exceeds a preset weight threshold;

[0031] If so, the corresponding abnormal classification information is identified from the occupancy abnormality weight value, and the abnormal classification information is detected to extract abnormal weight features, wherein the abnormal classification information specifically includes a nature dimension, an impact range dimension, and a severity dimension, and the abnormal weight features specifically include a time feature, an amplitude feature, and a device feature.

[0032] Furthermore, the step of regularly collecting the daily energy consumption of the guest room based on the energy consumption monitoring upper limit preset by the hotel terminal for the guest room includes:

[0033] Based on the preset occupancy type of the guest room by the hotel terminal, the collection time nodes of the equipment energy consumption of the guest room are divided, wherein the occupancy type specifically includes the size of the guest room, the length of stay and the number of guests;

[0034] Determining whether the collection time node is after the guest room is occupied;

[0035] If not, the energy consumption monitoring upper limit of the guest room is detected in real time according to the fixed energy consumption of the equipment pre-recorded by the hotel terminal.

[0036] The present invention also provides an energy consumption monitoring system for hotel guest rooms, comprising:

[0037] A collection module, used to regularly collect the daily energy consumption of the guest room based on the energy consumption monitoring upper limit preset by the hotel terminal for the guest room;

[0038] A judgment module, used to judge whether the daily energy consumption exceeds the energy consumption monitoring upper limit;

[0039] an execution module, configured to identify the housing status of the guest room, classify the abnormal energy-consuming devices in the guest room according to the housing status, collect the abnormal duration of the abnormal energy-consuming devices, obtain the energy consumption fluctuation data of the abnormal energy-consuming devices according to the abnormal duration, compare the housing status with the energy consumption fluctuation data, and generate an abnormal occupancy weight value of the guest room, wherein the housing status specifically includes occupied and vacant;

[0040] The second judgment module is used to judge whether the check-in abnormality weight value reaches a preset weight;

[0041] The second execution module is used for, if not, building a collaborative operation mechanism for the abnormal energy consumption equipment from the abnormal energy consumption equipment in the hotel terminal cluster, exchanging data with the abnormal energy consumption equipment within a preset time period based on the collaborative operation mechanism, adaptively adjusting the operating status of the abnormal energy consumption equipment, and uploading abnormal rules for the abnormal energy consumption equipment according to the operating status, wherein the operating status specifically includes turning on, off and adjusting power, and the abnormal rules specifically include frequency abnormality, mode abnormality and response abnormality.

[0042] Furthermore, it also includes:

[0043] An identification module, used to identify the associated energy-consuming devices in the guest room based on the connection relationship of the energy-consuming devices pre-built by the hotel terminal;

[0044] A second judgment module is used to judge whether the associated energy-consuming devices detect energy consumption anomalies at the same time;

[0045] The second execution module is used to obtain the abnormal environmental parameters caused by the abnormal energy consumption data in the guest room according to the abnormal energy consumption data pre-collected by the hotel terminal, collect historical energy consumption data and operating status data from the associated energy consumption equipment, and generate an operating energy consumption baseline of the associated energy consumption equipment in the hotel terminal based on the historical energy consumption data and the operating status data, and identify the abnormal characteristics and change trends of the associated energy consumption equipment through the operating energy consumption baseline, wherein the abnormal environmental parameters specifically include temperature, humidity and voltage.

[0046] Furthermore, the execution module also includes:

[0047] An acquisition unit, used to acquire the equipment usage information of the guest room within a preset check-in period;

[0048] A judging unit, used to judge whether the device usage information matches the abnormal energy consumption device;

[0049] an execution unit for identifying, if yes, the fault influencing factors of the abnormal energy consumption device on the guest room, remotely controlling the abnormal energy consumption device through the hotel terminal to make an abnormal response, temporarily recovering the use right of the abnormal energy consumption device based on the abnormal response, feeding back the fault influencing factors to the guest room, and re-granting the guest room the use right of the abnormal energy consumption device according to the feedback content, wherein the fault influencing factors specifically include electrical impact, environmental impact and compatibility impact.

[0050] The present invention provides a method and system for monitoring energy consumption of hotel guest rooms, which has the following beneficial effects:

[0051] The present invention realizes effective management of energy consumption under different guest needs by accurately monitoring the daily energy consumption of guest rooms, timely identifying and locating abnormal energy-consuming equipment, refining occupancy status analysis, quantifying the degree of abnormal energy consumption, and constructing a collaborative operation mechanism of equipment for adaptive adjustment. Through multi-dimensional abnormal rule monitoring and dynamic adjustment of equipment operation status, it can timely discover and handle energy consumption anomalies, reduce energy waste, improve equipment operation efficiency, optimize overall energy consumption management, thereby improving the hotel's energy management level and achieving the goal of energy saving and consumption reduction. BRIEF DESCRIPTION OF THE DRAWINGS

[0052] Figure 1 A schematic diagram of a process flow of an embodiment of a method for monitoring energy consumption of a hotel room of the present invention;

[0053] Figure 2 The following is a structural block diagram of an embodiment of the energy consumption monitoring system for hotel guest rooms of the present invention. DETAILED DESCRIPTION

[0054] It should be understood that the specific embodiments described herein are only used to explain the present invention and are not intended to limit the present invention. The implementation of the objectives, functional features and advantages of the present invention will be further described in conjunction with the embodiments and with reference to the accompanying drawings.

[0055] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0056] Reference Figure 1 , is a method for monitoring energy consumption of hotel rooms in one embodiment of the present invention, comprising:

[0057] S1: Based on the energy consumption monitoring upper limit preset by the hotel terminal for the guest room, the daily energy consumption of the guest room is regularly collected;

[0058] S2: Determine whether the daily energy consumption exceeds the energy consumption monitoring upper limit;

[0059] S3: If yes, identify the housing status of the guest room, classify the abnormal energy-consuming devices in the guest room according to the housing status, collect the abnormal duration of the abnormal energy-consuming devices, obtain the energy consumption fluctuation data of the abnormal energy-consuming devices according to the abnormal duration, compare the housing status with the energy consumption fluctuation data, and generate the occupancy abnormality weight value of the guest room, wherein the housing status specifically includes occupied and vacant;

[0060] S4: Determine whether the check-in abnormality weight value reaches a preset weight;

[0061] S5: If not, then construct a collaborative operation mechanism for the abnormal energy consumption equipment from the abnormal energy consumption equipment in the hotel terminal cluster, exchange data with the abnormal energy consumption equipment within a preset time period based on the collaborative operation mechanism, adaptively adjust the operating status of the abnormal energy consumption equipment, and upload abnormal rules for the abnormal energy consumption equipment according to the operating status, wherein the operating status specifically includes turning on, off and adjusting power, and the abnormal rules specifically include frequency abnormality, mode abnormality and response abnormality.

[0062] In this embodiment, the system regularly collects the daily energy consumption of the guest room in different periods based on the energy consumption monitoring upper limit pre-set by the hotel terminal for the guest room, and then the system determines whether the daily energy consumption exceeds the energy consumption monitoring upper limit to execute the corresponding steps; for example, when the system determines that the daily energy consumption of the guest room in different periods does not exceed the energy consumption monitoring upper limit pre-set by the hotel terminal for the guest room, the system will consider that all energy equipment in the guest room is operating normally and there is no abnormal consumption. The system will continue to maintain regular energy consumption data collection and monitoring to ensure that the energy consumption is always within the preset upper limit, record normal energy consumption data as baseline data, and use it as a reference for future energy consumption analysis and anomaly detection. Collect guests' feedback on the use of energy-consuming equipment, understand their needs and usage habits, further optimize equipment configuration and management, regularly perform preventive maintenance on equipment, ensure that the equipment always maintains a good operating state, avoid abnormal energy consumption caused by potential faults, and regularly check the operating effect of the energy consumption monitoring system. By identifying equipment and behaviors with high energy efficiency, optimize energy consumption management strategies, evaluate their accuracy and reliability, and promptly discover and correct potential problems; for example, when the system determines that the daily energy consumption of a guest room in different periods exceeds the energy consumption monitoring upper limit pre-set by the hotel terminal for the guest room, the system will consider that there is an abnormal energy-consuming device in the guest room, and the system will identify the current housing status of the guest room. The housing status specifically includes occupied and vacant. The abnormal energy-consuming devices in the guest rooms are classified according to different housing statuses. When the guest room is vacant, it means that the abnormal operation of the abnormal energy-consuming devices is not caused by the occupants. The abnormal duration of these abnormal energy-consuming devices is collected, and the energy consumption fluctuation data of the abnormal energy-consuming devices is obtained according to these abnormal durations. The housing status and the energy consumption fluctuation data are compared to generate the occupancy abnormality weight value when the guest room is occupied. The system classifies the abnormal energy-consuming devices according to the housing status of the guest room (occupied and vacant), and distinguishes which energy consumption is caused by the normal use of the equipment by the guests and which is caused by equipment failure or abnormal operation. The system can quickly identify the cause of the abnormality and distinguish short-term fluctuations from long-term abnormalities by monitoring the duration of the abnormality, so as to adopt different processing strategies. These data help to build a historical record of equipment operation and provide a basis for subsequent abnormal analysis and prediction. The occupancy abnormality weight value quantifies the severity of the abnormality, so that managers can intuitively identify whether the abnormal energy-consuming equipment in the guest room has become more energy-consuming after the user checks in. According to different weight values, the energy consumption management and equipment maintenance strategies can be dynamically adjusted to ensure the accuracy and effectiveness of energy consumption control. The system then determines whether the occupancy abnormality weight value reaches the preset weight to execute the corresponding steps.For example, when the system determines that the abnormal weight value of the guest room's occupancy has reached a preset weight, the system will believe that the energy consumption of the abnormal energy-consuming equipment has increased after the user has checked in. The system will check the guest room's power lines and connections to ensure that there are no line faults or short circuits. After obtaining permission from the guest room user, the system will temporarily shut down or restrict the operation of the abnormal energy-consuming equipment without affecting the normal use of the guest room user to reduce unnecessary energy consumption. At the same time, the system will record the equipment's operating data, energy consumption data, and abnormal weight value changes, generate the cause of the abnormality, and determine whether it is caused by equipment failure, guest behavior, or other factors. According to actual usage, the energy consumption monitoring upper limit is adjusted to make it more in line with actual needs, update and improve the identification rules of abnormal energy-consuming equipment, and improve the accuracy and timeliness of detection. For example, when the system determines that the abnormal weight value of the guest room's occupancy has not reached the preset weight, the system will believe that the abnormal energy consumption of the guest room has not changed significantly after the user has checked in. The system will cluster these abnormal energy-consuming devices from the hotel terminal and construct these abnormal The collaborative operation mechanism of energy-consuming equipment, based on which the abnormal energy-consuming equipment exchanges data within a pre-set period of time, adaptively adjusts the operating status of the abnormal energy-consuming equipment, which specifically includes opening, closing and adjusting power, and uploads abnormal rules of abnormal energy-consuming equipment to the hotel terminal according to different operating statuses. The abnormal rules specifically include frequency abnormality, mode abnormality and response abnormality; the system adjusts the operating status of the equipment according to real-time data to ensure the flexibility and timeliness of energy consumption management, optimizes the overall energy consumption and reduces unnecessary energy waste by adaptively adjusting the opening, closing and power of the equipment. At the same time, the equipment works together and cooperates with each other to improve the overall operating efficiency and reduce the load and energy consumption of a single device. Through data sharing between devices, possible failures can be predicted and prevented earlier, and energy consumption abnormalities caused by equipment failures can be reduced. Moreover, without affecting the guest experience, energy saving and consumption reduction can be achieved by accurately controlling the operating status of the equipment, and the reasonable adjustment of the equipment's operating time and power can reduce equipment wear and extend its service life. ;

[0063] It should be noted that the abnormal occupancy weight value of a guest room can indicate whether the energy consumption equipment in the guest room becomes abnormal after the user checks in. The specific examples are as follows:

[0064] Example 1: Normal energy consumption;

[0065] Background: The energy consumption data of Room A before and after the user checks in is as follows:

[0066] Before check-in (vacant room): average daily consumption 20 kWh;

[0067] After check-in (during user stay): average daily consumption 22 kWh;

[0068] The air conditioner runs for 8 hours a day, with a total energy consumption of 10 kWh;

[0069] The lighting runs for 4 hours per day, with a total energy consumption of 2 kWh;

[0070] The total energy consumption of other electrical equipment (TV, charger, etc.) is 10 kWh;

[0071] In summary, since the energy consumption and operating time of air conditioning, lighting, and other equipment do not change much compared with the vacant room state, the abnormal weight value is low, indicating that the equipment operates normally after the user moves in;

[0072] Example 2: Abnormal energy consumption;

[0073] Background: The energy consumption data of Room B before and after the user's check-in is as follows:

[0074] Before check-in (vacant room): average daily consumption 15 kWh;

[0075] After check-in (during user stay): average daily consumption is 30 kWh;

[0076] The air conditioner runs for 20 hours a day, with a total energy consumption of 25 kWh;

[0077] The lighting runs for 10 hours per day, with a total energy consumption of 5 kWh;

[0078] The total energy consumption of other electrical devices (TV, chargers, etc.) is 0 kWh (same as in an empty room);

[0079] In summary, due to the significant increase in air conditioning running time, abnormal frequency (high weight), increased lighting running time, abnormal mode (medium weight), and no change in other equipment (low weight), the comprehensive abnormal weight value is high, indicating that the air conditioning and lighting equipment operated abnormally after the user moved in, which may be caused by excessive use by the user.

[0080] In this embodiment, after the step S3 of classifying the abnormal energy-consuming devices in the guest room according to the housing status and collecting the abnormal duration of the abnormal energy-consuming devices, the method further includes:

[0081] S301: Identifying associated energy-consuming devices in the guest room based on the energy-consuming device connection relationship pre-established by the hotel terminal;

[0082] S302: Determine whether the associated energy consuming devices detect energy consumption abnormality at the same time;

[0083] S303: If so, then based on the abnormal energy consumption data pre-collected by the hotel terminal, the abnormal environmental parameters caused by the abnormal energy consumption data in the guest room are obtained, and the historical energy consumption data and the operating status data are collected from the associated energy consumption equipment. Based on the historical energy consumption data and the operating status data, an operating energy consumption baseline of the associated energy consumption equipment is generated in the hotel terminal, and the abnormal characteristics and change trends of the associated energy consumption equipment are identified through the operating energy consumption baseline, wherein the abnormal environmental parameters specifically include temperature, humidity and voltage.

[0084] In this embodiment, the system identifies the associated energy-consuming devices in the guest room based on the connection relationship of the energy-consuming devices pre-constructed by the hotel terminal, and then the system determines whether these associated energy-consuming devices detect energy consumption anomalies at the same time to execute the corresponding steps; for example, when the system determines that the associated energy-consuming devices in the guest room do not detect energy consumption anomalies at the same time, the system will believe that the anomaly may be caused by a problem with a single device, rather than a problem with the overall coordinated operation. The system will use the diagnostic function of the device to check the internal operating status of the device, including power connection, cable status and temperature, and collect the operating data of the device in different time periods, compare the current abnormal data with the historical data of the device, identify the abnormal mode, detect environmental factors such as whether temperature or humidity affects the operation of the device, and upload the abnormal data to the hotel terminal system to update the equipment operation record. If there is a user staying in the room, the hotel terminal will explain the abnormal situation of the equipment to the guest and apologize; for example, when the system determines that the associated energy-consuming devices in the guest room detect energy consumption anomalies at the same time, the system will believe that the anomaly is caused by multiple associated energy-consuming devices, and the system will update the abnormal energy consumption data pre-collected by the hotel terminal. The system collects data from the guest rooms to obtain abnormal environmental parameters caused by these abnormal energy consumption data. The abnormal environmental parameters specifically include temperature, humidity and voltage. The system collects historical energy consumption data and operating status data from the associated energy consumption equipment. Based on these historical energy consumption data and operating status data, the operating energy consumption baseline of the associated energy consumption equipment is generated at the hotel terminal. The operating energy consumption baseline is used to identify the abnormal characteristics and change trends of the associated energy consumption equipment. The system comprehensively understands the causes and impacts of energy consumption abnormalities by identifying the coordinated abnormalities between multiple devices, avoids possible omissions when checking the equipment separately, and ensures that the abnormalities of all associated devices are detected. At the same time, the system clarifies the impact of environmental factors on energy consumption equipment, thereby locating the causes of abnormalities. When the environmental parameters are abnormal, preventive maintenance measures are taken in advance to avoid equipment damage or aggravation of energy consumption abnormalities. The system also compares the current operating status with the baseline data to quickly identify abnormal equipment and abnormal characteristics, and makes precise adjustments based on the baseline data to ensure that the equipment runs in the optimal state. By identifying potential abnormal characteristics in advance, early warnings are provided to avoid the occurrence of serious energy consumption abnormalities. According to the specific abnormal characteristics, precise maintenance and adjustments can be implemented to improve maintenance efficiency and effectiveness.

[0085] In this embodiment, the step S3 of acquiring the energy consumption fluctuation data of the abnormal energy consumption equipment according to the duration of the abnormality, comparing the housing status with the energy consumption fluctuation data, and generating the occupancy abnormality weight value of the guest room further includes:

[0086] S31: Obtaining equipment usage information of the guest room during a preset check-in period;

[0087] S32: Determine whether the device usage information matches the abnormal energy consumption device;

[0088] S33: If so, identify the fault influencing factors of the abnormal energy consumption equipment on the guest room, remotely control the abnormal energy consumption equipment through the hotel terminal to make an abnormal response, briefly reclaim the use rights of the abnormal energy consumption equipment based on the abnormal response, feed back the fault influencing factors to the guest room, and re-grant the guest room the use rights of the abnormal energy consumption equipment according to the feedback content, wherein the fault influencing factors specifically include electrical impact, environmental impact and compatibility impact.

[0089] In this embodiment, the system obtains the equipment usage information of the guest room within the preset check-in period, and then determines whether the equipment usage information matches the abnormal energy consumption equipment to execute the corresponding steps; for example, when the system determines that the equipment usage information of the guest room user after check-in cannot match the abnormal energy consumption equipment, the system will consider that the abnormal energy consumption equipment in the guest room is irrelevant to whether the guest room user uses it or not, and the system will use the device's own diagnostic function to check the internal operating status of the equipment, including power connection, cable status and temperature, and record the energy consumption data and operating status of the equipment to determine the cause of the abnormality. At the same time, if the equipment is seriously abnormal, it can be considered to temporarily shut down or isolate the equipment to prevent it from affecting the overall system, isolate the equipment from the overall system, test and repair it separately, and upload the abnormal data to the hotel terminal system, update the equipment operation record, and record the detailed information of the abnormal event, including the discovery time, handling measures and results; for example, when the system determines that the equipment usage information of the guest room user after check-in can match the abnormal energy consumption equipment, the system will consider that the abnormal energy consumption equipment in the guest room is related to the use of the guest room user, and the system will identify the abnormal energy consumption equipment For the factors affecting the failure of the guest room, the factors affecting the failure specifically include electrical impact, environmental impact and compatibility impact. The abnormal energy consumption equipment is remotely controlled by the hotel terminal to respond abnormally. Based on the abnormal response, the use rights of the abnormal energy consumption equipment are recovered in a short time, and these factors affecting the failure are fed back to the guest room to inform the guest room users. After confirming that the guest room users are aware of these factors affecting the failure, the use rights of the abnormal energy consumption equipment in the guest room are re-granted. The system takes immediate measures to handle the abnormal equipment to prevent further energy waste or equipment damage, and controls the equipment in time to reduce the economic losses caused by energy consumption and equipment damage caused by the failure. At the same time, the system allows users to understand the abnormal situation of the equipment and its impact on the guest room, increase transparency, and avoid user misunderstandings or complaints caused by abnormal handling measures by informing users. In addition, the safety of equipment and users in the guest room is guaranteed by timely handling of electrical failures and environmental anomalies, avoiding chain failures caused by equipment compatibility issues, and reducing overall risks. Finally, on the premise of ensuring safety and normal operation of the equipment, the use of the equipment is quickly restored to reduce user inconvenience, and through personalized handling measures, the user's satisfaction and trust in hotel services are improved.

[0090] In this embodiment, the step S5 of constructing a collaborative operation mechanism of the abnormal energy consumption equipment from the abnormal energy consumption equipment in the hotel terminal cluster further includes:

[0091] S51: Based on the energy consumption optimization strategy predefined by the hotel terminal, collecting the load value corresponding to the current load type of the guest room;

[0092] S52: Determine whether the load value exceeds a preset threshold of a single abnormal energy consumption device;

[0093] S53: If so, activate the backup energy-consuming equipment corresponding to the current load type in the guest room, transfer the load task of the abnormal energy-consuming equipment to the backup energy-consuming equipment, and apply the preset dynamic load balancing to perform shift operation between the backup energy-consuming equipment and the abnormal energy-consuming equipment according to the preset operating time period and energy consumption characteristics of the abnormal energy-consuming equipment, and generate the collaborative load tasks to be executed by the backup energy-consuming equipment and the abnormal energy-consuming equipment according to the load value.

[0094] In this embodiment, the system collects energy consumption load values ​​corresponding to the current energy consumption load type of the guest room based on the energy consumption optimization strategy pre-defined by the hotel terminal, and then the system determines whether these energy consumption load values ​​exceed the preset threshold of a single abnormal energy consumption device to execute the corresponding steps; for example, when the system determines that the energy consumption load value corresponding to the current energy consumption load type of the guest room does not exceed the preset threshold of a single abnormal energy consumption device, the system will consider that a certain energy consumption load in the current guest room is within the normal range and there is no abnormal energy consumption. The system will continue to collect and record the energy consumption data of the guest room, analyze the data regularly, and ensure that the energy consumption load is always within the normal range. At the same time, according to the use of the guest room, the operation mode of the equipment is adjusted to improve energy efficiency, such as reducing the power of the air conditioner at night, using energy-saving mode or intelligent control to further reduce energy consumption, and arranging regular equipment inspection and maintenance to ensure that the equipment is always in good condition, and prevent potential failures in advance according to historical data and equipment conditions; for example, when the system determines that the energy consumption load value corresponding to the current energy consumption load type of the guest room exceeds the preset threshold of a single abnormal energy consumption device, the system will consider that a certain energy consumption load in the current guest room is out of normal condition. If an abnormality occurs, the system will activate the backup energy-consuming equipment corresponding to the current energy consumption load type in the guest room, transfer the load task of the abnormal energy-consuming equipment to the backup energy-consuming equipment, and according to the pre-set operating time period and energy consumption characteristics of the abnormal energy-consuming equipment, apply the pre-set dynamic load balancing to perform shift operation between the backup energy-consuming equipment and the abnormal energy-consuming equipment, and generate collaborative load tasks to be executed by the backup energy-consuming equipment and the abnormal energy-consuming equipment according to the load value; by activating the backup energy-consuming equipment and transferring the load task of the abnormal equipment to the backup equipment, the system immediately enables the backup equipment when an abnormality occurs in the main equipment to avoid service interruption and ensure user experience, reduce excessive use of a single device through shift operation, and extend the service life of the equipment, and evenly distribute load tasks between the backup equipment and the abnormal equipment, optimize energy consumption distribution, reduce energy waste, and improve the overall operating efficiency of energy-consuming equipment by dynamically adjusting the operating status of the equipment, and avoid long-term high-load operation of a single device through shift operation and load balancing, reduce the probability of failure, and switch to the backup equipment seamlessly. Users will hardly notice the abnormality of the equipment, ensuring a stable and comfortable experience for users when using the equipment.

[0095] It should be noted that the preset dynamic load balancing is applied to perform shift operation between the backup energy consumption device and the abnormal energy consumption device. The specific examples are as follows:

[0096] Assume that there are two air conditioners in a hotel room: the main air conditioner (device A) and the backup air conditioner (device B). The system manages the operation of these two devices through a preset dynamic load balancing mechanism.

[0097] The system monitors the operating status and energy consumption data of device A and device B in real time, and finds that the energy consumption load value of device A exceeds the preset threshold, identifying that device A has energy consumption anomalies; then the system will immediately activate device B, ready to take over part or all of the load tasks, and first transfer part of the cooling task of device A to device B; for example, device A originally took 100% of the cooling task, but now device A takes 60% and device B takes 40%, and the system is set to rotate every 2 hours, with device A and device B running alternately, then in the first 2 hours: device A runs and device B is on standby; and in the second 2 hours: device B runs , device A is on standby; during the shift operation, the system adjusts the operating status of the equipment according to the real-time monitoring data; for example, when device A is running, if the load is still high, its power can be lowered; when device B is running, its power can be increased to meet the demand; that is, the system collects the energy consumption data of device A and device B under different operating conditions. By analyzing the data, the system finds that the energy consumption of device A increases significantly after running for 1 hour, while device B can remain stable after running for 2 hours. Based on the analysis results, the system adjusts the shift time, reducing the running time of device A to 1 hour and increasing the running time of device B to 3 hours;

[0098] To summarize, the system shares the load through backup equipment, reduces the overload risk of a single device, improves the reliability and life of equipment operation, and optimizes energy management. Through dynamic load balancing and shift operation, it optimizes energy distribution, reduces energy consumption, and reduces energy waste. It avoids long-term high-load operation of a single device, reduces the probability of failure, and ensures stable operation of the equipment. It seamlessly switches backup equipment to ensure that the user experience is not affected, improves service quality and user satisfaction. Finally, hotel managers can continuously optimize and improve the system's load balancing and shift strategies through data analysis, thereby improving overall management efficiency and intelligence.

[0099] In this embodiment, the step S2 of determining whether the daily energy consumption exceeds the energy consumption monitoring upper limit further includes:

[0100] S21: Identifying a user staying in the guest room based on the occupancy status of the guest room pre-queried by the hotel terminal;

[0101] S22: Determine whether the staying user has stayed in the guest room for more than a preset period of time;

[0102] S23: If not, resetting the daily energy consumption in the hotel terminal, and re-collecting the continuous energy consumption generated when the energy-consuming equipment is in operation according to the time node preset in the hotel terminal.

[0103] In this embodiment, the system identifies the user staying in the guest room based on the accommodation status of the guest room pre-queried by the hotel terminal, and then the system determines whether the user has stayed in the guest room for more than a preset period of time to execute corresponding steps; for example, when the system determines that the user has stayed in the guest room for more than a preset period of time, the system will consider that the user still chooses to continue staying in the guest room after completing the check-in, that is, the system does not need to reset the daily energy consumption collection in the guest room, because the user has been using abnormal energy consumption equipment in the guest room, and there are no vacant rooms in the guest room. The system will continue to monitor the accommodation status of the guest room, confirm whether the user continues to stay in the guest room, update the energy consumption data in real time to reflect the actual energy consumption situation, continue to record the current energy consumption data, and continue to monitor the abnormal energy consumption equipment in the guest room to ensure the accuracy of the equipment status and energy consumption data, record the usage of each abnormal energy consumption equipment in detail, including the operating time and energy consumption data, and analyze the continuously collected energy consumption data. The system can identify whether there are abnormal energy consumption patterns and evaluate the impact of long-term use of abnormal energy-consuming devices on energy consumption levels. For example, when the system determines that the user's stay in the guest room has not exceeded the preset period of time, the system will consider that the user has completed his stay in the guest room and has left the room. The system needs to reset the daily energy consumption collection in the guest room and reset the daily energy consumption in the hotel terminal. According to the preset time node of the hotel terminal, the continuous energy consumption generated by the operation of the energy-consuming equipment will be re-collected. The system stops the energy consumption data collection during the current user's stay and saves the current energy consumption data to the historical records for subsequent analysis. At the same time, it resets the meters of all energy-consuming devices in the guest room and returns the energy consumption readings to zero to ensure that all energy-consuming devices are restored to their initial state and are ready to welcome the next user's stay. It also initializes the energy consumption collection settings and restarts the collection of energy consumption data for the next user. According to hotel standards, the energy-consuming equipment is calibrated regularly to ensure the accuracy of data collection.

[0104] In this embodiment, the step S4 of judging whether the abnormal check-in weight value reaches the preset weight further includes:

[0105] S41: Based on the weight factors preset by the hotel terminal, the abnormal weight value of the check-in user changing in the guest room is calculated in real time, wherein the weight factors specifically include energy consumption data, equipment status, check-in time, external environment and user behavior;

[0106] S42: Determine whether the abnormal check-in weight value exceeds a preset weight threshold;

[0107] S43: If yes, then identify the corresponding abnormal classification information from the check-in abnormal weight value, detect the abnormal classification information to extract abnormal weight features, wherein the abnormal classification information specifically includes a nature dimension, an impact range dimension and a severity dimension, and the abnormal weight features specifically include a time feature, an amplitude feature and a device feature.

[0108] In this embodiment, the system calculates the abnormal check-in weight value of the check-in user in the guest room in real time based on the weight factors pre-set by the hotel terminal, which specifically include energy consumption data, equipment status, check-in time, external environment and user behavior. Then the system determines whether the abnormal check-in weight value exceeds the preset weight threshold to execute the corresponding steps; for example, when the system determines that the abnormal check-in weight value of the check-in user in the guest room does not exceed the preset weight threshold, the system will consider that the behavior pattern of the check-in user meets normal expectations and there is no abnormal usage behavior. The system will continue to monitor the energy consumption data and equipment status in the guest room to ensure that any potential Abnormalities can be discovered in time, maintain the stability of data collection and analysis, continue to collect and record energy consumption data for reference in subsequent changes that may occur, and regularly evaluate and optimize existing energy consumption management and monitoring strategies to ensure that the system can adapt to different user behaviors and external environment changes. According to historical data and trends, adjust and optimize the preset weight thresholds to adapt to new data patterns and needs, and generate regular reports on energy consumption and equipment status to provide to hotel managers to ensure that they understand the normal energy consumption of guest rooms; for example, when the system determines that the abnormal weight value of the occupancy of the occupant in the guest room exceeds the preset weight threshold At this time, the system will think that there is abnormal usage behavior in the behavior pattern of the occupant, and the system will identify the corresponding abnormal classification information from the occupancy abnormal weight value. The abnormal classification information specifically includes the nature dimension, the impact scope dimension and the severity dimension. These abnormal classification information are detected to extract abnormal weight features. The abnormal weight features specifically include time features, amplitude features and equipment features; the system monitors and analyzes the occupant behavior pattern of the system. When it is detected that the occupancy abnormal weight value exceeds the preset threshold, the abnormal usage behavior of the user is effectively identified, and unreasonable energy consumption can be discovered in time, so that corresponding measures can be taken to adjust and optimize. At the same time, the abnormal classification information is identified and classified, including the nature dimension, the impact scope dimension and the severity dimension, which is helpful for more refined management and processing of energy consumption abnormalities. Through classification in different dimensions, the specific cause and impact scope of the abnormality can be accurately identified, and more targeted solutions can be formulated. After identifying and extracting the abnormal weight features, the system can take corresponding management measures for different types of abnormalities to improve the efficiency of energy consumption management. For example, for time feature abnormalities, the equipment running time can be adjusted, and for amplitude feature abnormalities, the equipment energy consumption strategy can be optimized. In addition, for equipment feature abnormalities, equipment maintenance or replacement can be performed.

[0109] In this embodiment, based on the energy consumption monitoring upper limit preset by the hotel terminal for the guest room, the step S1 of regularly collecting the daily energy consumption of the guest room includes:

[0110] S11: based on the preset occupancy type of the guest room by the hotel terminal, dividing the time nodes for collecting equipment energy consumption of the guest room, wherein the occupancy type specifically includes the size of the guest room, the length of stay and the number of guests;

[0111] S12: Determine whether the collection time node is after the guest room is occupied;

[0112] S13: If not, the energy consumption monitoring upper limit of the guest room is detected in real time according to the fixed energy consumption of the equipment pre-recorded by the hotel terminal.

[0113] In this embodiment, the system divides the collection time nodes of the guest room's equipment energy consumption based on the occupancy type pre-set by the hotel terminal for the guest room, which specifically includes the room size, occupancy duration and number of occupants. The system then determines whether these collection time nodes are after the guest room is occupied by the room user to execute the corresponding steps; for example, when the system determines that the collection time node of the guest room's equipment energy consumption is after the guest room is occupied by the room user, the system will consider that the system is collecting the equipment energy consumption data during the user's stay in real time to ensure that the recorded energy consumption data reflects the actual usage of the current user. The system will stably collect equipment energy consumption data during the period when the guest room is occupied by the user to ensure the continuity and integrity of the data, continuously monitor the operating status of the equipment, promptly identify and handle any abnormal situation, and analyze the collected energy consumption data at the same time to understand the behavior patterns and energy consumption habits of the occupants, identify high energy consumption time periods and equipment, and use the data analysis results to identify the user's energy consumption mode, provide a basis for optimizing energy consumption management, and adjust the energy consumption management strategy to optimize the operating time and mode of the equipment, reduce unnecessary energy waste, and provide personalized energy consumption management according to the energy consumption habits of different users. The system can provide personalized services and suggestions to improve the user experience; for example, when the system determines that the time node of the guest room's equipment energy consumption collection is not after the room is occupied by the room user, the system will consider the room to be vacant at this time, and the system will detect the energy consumption monitoring upper limit of the room in real time according to the fixed energy consumption of the equipment pre-recorded by the hotel terminal; the system detects the energy consumption monitoring upper limit of the guest room in real time according to the fixed energy consumption of the equipment pre-recorded by the hotel terminal, which helps to improve the accuracy of energy consumption monitoring and ensure that the energy consumption data in the vacant state is based on the preset fixed energy consumption standard, rather than being affected by the behavior of the occupant user. At the same time, in the vacant state, the system can detect any energy consumption abnormality in time by detecting the energy consumption monitoring upper limit in real time. If the energy consumption in the vacant state exceeds the preset fixed energy consumption, this may indicate that there is a device failure, an unclosed device or other abnormal conditions. Timely detection of these abnormalities can avoid unnecessary energy waste, and real-time detection of the energy consumption monitoring upper limit in the vacant state helps to ensure the normal operation of the equipment. By detecting and analyzing the fixed energy consumption of the equipment, the system can detect and handle abnormal conditions in the operation of the equipment to ensure the normal operation and maintenance of the equipment in the vacant state.

[0114] Reference Figure 2 , is an energy consumption monitoring system for hotel rooms in one embodiment of the present invention, comprising:

[0115] The collection module 10 is used to regularly collect the daily energy consumption of the guest room based on the energy consumption monitoring upper limit preset by the hotel terminal for the guest room;

[0116] A judgment module 20 is used to judge whether the daily energy consumption exceeds the energy consumption monitoring upper limit;

[0117] The execution module 30 is configured to identify the housing status of the guest room, classify the abnormal energy-consuming devices in the guest room according to the housing status, collect the abnormal duration of the abnormal energy-consuming devices, obtain the energy consumption fluctuation data of the abnormal energy-consuming devices according to the abnormal duration, compare the housing status with the energy consumption fluctuation data, and generate an abnormal occupancy weight value of the guest room, wherein the housing status specifically includes occupied and vacant;

[0118] The second judgment module 40 is used to judge whether the abnormal check-in weight value reaches a preset weight;

[0119] The second execution module 50 is used to, if not, construct a collaborative operation mechanism for the abnormal energy consumption equipment from the abnormal energy consumption equipment in the hotel terminal cluster, exchange data with the abnormal energy consumption equipment within a preset time period based on the collaborative operation mechanism, adaptively adjust the operating status of the abnormal energy consumption equipment, and upload abnormal rules for the abnormal energy consumption equipment according to the operating status, wherein the operating status specifically includes turning on, off and adjusting power, and the abnormal rules specifically include frequency abnormality, mode abnormality and response abnormality.

[0120] In this embodiment, the collection module 10 regularly collects the daily energy consumption of the guest room in different periods based on the energy consumption monitoring upper limit pre-set by the hotel terminal for the guest room, and then the judgment module 20 judges whether the daily energy consumption exceeds the energy consumption monitoring upper limit to execute the corresponding steps; for example, when the system determines that the daily energy consumption of the guest room in different periods does not exceed the energy consumption monitoring upper limit pre-set by the hotel terminal for the guest room, the system will consider that all energy devices in the guest room are operating normally and there is no abnormal consumption. The system will continue to maintain regular energy consumption data collection and monitoring to ensure that the energy consumption is always within the preset upper limit, and record normal energy consumption data as baseline data for reference in future energy consumption analysis and abnormality detection. , and collect guests' feedback on the use of energy-consuming equipment, understand their needs and usage habits, further optimize equipment configuration and management, regularly perform preventive maintenance of equipment, ensure that the equipment always maintains a good operating state, avoid abnormal energy consumption caused by potential faults, and regularly check the operating effect of the energy consumption monitoring system, by identifying equipment and behaviors with high energy efficiency, optimize energy consumption management strategies, evaluate their accuracy and reliability, and timely discover and correct potential problems; for example, when the system determines that the daily energy consumption of a guest room in different periods exceeds the energy consumption monitoring upper limit pre-set by the hotel terminal for the guest room, the execution module 30 will consider that there is an abnormal energy-consuming device in the guest room, and the system will identify the current Housing status, which specifically includes occupied and vacant. The abnormal energy-consuming devices in the guest rooms are classified according to different housing statuses. When the guest room is vacant, it means that the abnormal operation of the abnormal energy-consuming devices is not caused by the occupants. The abnormal duration of these abnormal energy-consuming devices is collected, and the energy consumption fluctuation data of the abnormal energy-consuming devices is obtained based on these abnormal durations. The housing status and energy consumption fluctuation data are compared to generate the occupancy abnormality weight value when the guest room is occupied. The system classifies the abnormal energy-consuming devices according to the housing status of the guest room (occupied and vacant), and distinguishes which energy consumption is caused by the normal use of the equipment by the guests and which is caused by equipment failure or abnormal operation, so as to The cause of the abnormality is quickly determined. By monitoring the duration of the abnormality, the system can distinguish short-term fluctuations from long-term abnormalities, so as to adopt different processing strategies. These data are helpful to build a historical record of equipment operation, providing a basis for subsequent abnormal analysis and prediction. The occupancy abnormality weight value quantifies the severity of the abnormality, so that the management personnel can intuitively identify whether the abnormal energy consumption equipment in the guest room has become more energy-consuming after the user checks in. According to different weight values, the energy consumption management and equipment maintenance strategies can be dynamically adjusted to ensure the accuracy and effectiveness of energy consumption control. Then the second judgment module 40 judges whether the occupancy abnormality weight value reaches the preset weight to execute the corresponding steps.For example, when the system determines that the abnormal occupancy weight value of the guest room has reached a preset weight, the system will believe that the energy consumption of the abnormal energy-consuming equipment has increased after the user has checked in. The system will check the power lines and connections of the guest room to ensure that there are no line faults or short circuits. After obtaining permission from the guest room user, the system will temporarily shut down or restrict the operation of the abnormal energy-consuming equipment without affecting the normal use of the guest room user to reduce unnecessary energy consumption. At the same time, the system will record the operation data, energy consumption data and abnormal weight value changes of the equipment, generate the cause of the abnormality, determine whether it is caused by equipment failure, guest behavior or other factors, and adjust the energy consumption monitoring upper limit according to actual use to make it more in line with actual needs, update and improve the identification rules of abnormal energy-consuming equipment, and improve the accuracy and timeliness of detection. For example, when the system determines that the abnormal occupancy weight value of the guest room has not reached the preset weight, the second execution module 50 will believe that the abnormal energy consumption of the guest room has not changed significantly after the user has checked in. The system will cluster these abnormal energy-consuming equipment from the hotel terminal to build this The system has established a collaborative operation mechanism for abnormal energy consumption equipment. Based on the collaborative operation mechanism, abnormal energy consumption equipment will exchange data within a pre-set period of time, and adaptively adjust the operating status of abnormal energy consumption equipment. The operating status specifically includes opening, closing and adjusting power. According to different operating states, the abnormal rules of abnormal energy consumption equipment are uploaded to the hotel terminal. The abnormal rules specifically include frequency abnormality, mode abnormality and response abnormality. The system adjusts the operating status of the equipment according to real-time data to ensure the flexibility and timeliness of energy consumption management. By adaptively adjusting the opening, closing and power of the equipment, the overall energy consumption is optimized and unnecessary energy waste is reduced. At the same time, the equipment works together and cooperates with each other to improve the overall operating efficiency and reduce the load and energy consumption of a single device. Through data sharing between devices, possible failures can be predicted and prevented earlier, and energy consumption abnormalities caused by equipment failures can be reduced. Moreover, without affecting the guest experience, energy saving and consumption reduction can be achieved by accurately controlling the operating status of the equipment. Reasonable adjustment of the equipment's operating time and power can reduce equipment wear and extend its service life. ;

[0121] In this embodiment, it also includes:

[0122] An identification module, used to identify the associated energy-consuming devices in the guest room based on the connection relationship of the energy-consuming devices pre-built by the hotel terminal;

[0123] A second judgment module is used to judge whether the associated energy-consuming devices detect energy consumption anomalies at the same time;

[0124] The second execution module is used to obtain the abnormal environmental parameters caused by the abnormal energy consumption data in the guest room according to the abnormal energy consumption data pre-collected by the hotel terminal, collect historical energy consumption data and operating status data from the associated energy consumption equipment, and generate an operating energy consumption baseline of the associated energy consumption equipment in the hotel terminal based on the historical energy consumption data and the operating status data, and identify the abnormal characteristics and change trends of the associated energy consumption equipment through the operating energy consumption baseline, wherein the abnormal environmental parameters specifically include temperature, humidity and voltage.

[0125] In this embodiment, the system identifies the associated energy-consuming devices in the guest room based on the connection relationship of the energy-consuming devices pre-constructed by the hotel terminal, and then the system determines whether these associated energy-consuming devices detect energy consumption anomalies at the same time to execute the corresponding steps; for example, when the system determines that the associated energy-consuming devices in the guest room do not detect energy consumption anomalies at the same time, the system will believe that the anomaly may be caused by a problem with a single device, rather than a problem with the overall coordinated operation. The system will use the diagnostic function of the device to check the internal operating status of the device, including power connection, cable status and temperature, and collect the operating data of the device in different time periods, compare the current abnormal data with the historical data of the device, identify the abnormal mode, detect environmental factors such as whether temperature or humidity affects the operation of the device, and upload the abnormal data to the hotel terminal system to update the equipment operation record. If there is a user staying in the room, the hotel terminal will explain the abnormal situation of the equipment to the guest and apologize; for example, when the system determines that the associated energy-consuming devices in the guest room detect energy consumption anomalies at the same time, the system will believe that the anomaly is caused by multiple associated energy-consuming devices, and the system will update the abnormal energy consumption data pre-collected by the hotel terminal. The system collects data from the guest rooms to obtain abnormal environmental parameters caused by these abnormal energy consumption data. The abnormal environmental parameters specifically include temperature, humidity and voltage. The system collects historical energy consumption data and operating status data from the associated energy consumption equipment. Based on these historical energy consumption data and operating status data, the operating energy consumption baseline of the associated energy consumption equipment is generated at the hotel terminal. The operating energy consumption baseline is used to identify the abnormal characteristics and change trends of the associated energy consumption equipment. The system comprehensively understands the causes and impacts of energy consumption abnormalities by identifying the coordinated abnormalities between multiple devices, avoids possible omissions when checking the equipment separately, and ensures that the abnormalities of all associated devices are detected. At the same time, the system clarifies the impact of environmental factors on energy consumption equipment, thereby locating the causes of abnormalities. When the environmental parameters are abnormal, preventive maintenance measures are taken in advance to avoid equipment damage or aggravation of energy consumption abnormalities. The system also compares the current operating status with the baseline data to quickly identify abnormal equipment and abnormal characteristics, and makes precise adjustments based on the baseline data to ensure that the equipment runs in the optimal state. By identifying potential abnormal characteristics in advance, early warnings are provided to avoid the occurrence of serious energy consumption abnormalities. According to the specific abnormal characteristics, precise maintenance and adjustments can be implemented to improve maintenance efficiency and effectiveness.

[0126] In this embodiment, the execution module further includes:

[0127] An acquisition unit, used to acquire the equipment usage information of the guest room within a preset check-in period;

[0128] A judging unit, used to judge whether the device usage information matches the abnormal energy consumption device;

[0129] an execution unit for identifying, if yes, the fault influencing factors of the abnormal energy consumption device on the guest room, remotely controlling the abnormal energy consumption device through the hotel terminal to make an abnormal response, temporarily recovering the use right of the abnormal energy consumption device based on the abnormal response, feeding back the fault influencing factors to the guest room, and re-granting the guest room the use right of the abnormal energy consumption device according to the feedback content, wherein the fault influencing factors specifically include electrical impact, environmental impact and compatibility impact.

[0130] In this embodiment, the system obtains the equipment usage information of the guest room within the preset check-in period, and then determines whether the equipment usage information matches the abnormal energy consumption equipment to execute the corresponding steps; for example, when the system determines that the equipment usage information of the guest room user after check-in cannot match the abnormal energy consumption equipment, the system will consider that the abnormal energy consumption equipment in the guest room is irrelevant to whether the guest room user uses it or not, and the system will use the device's own diagnostic function to check the internal operating status of the equipment, including power connection, cable status and temperature, and record the energy consumption data and operating status of the equipment to determine the cause of the abnormality. At the same time, if the equipment is seriously abnormal, it can be considered to temporarily shut down or isolate the equipment to prevent it from affecting the overall system, isolate the equipment from the overall system, test and repair it separately, and upload the abnormal data to the hotel terminal system, update the equipment operation record, and record the detailed information of the abnormal event, including the discovery time, handling measures and results; for example, when the system determines that the equipment usage information of the guest room user after check-in can match the abnormal energy consumption equipment, the system will consider that the abnormal energy consumption equipment in the guest room is related to the use of the guest room user, and the system will identify the abnormal energy consumption equipment For the factors affecting the failure of the guest room, the factors affecting the failure specifically include electrical impact, environmental impact and compatibility impact. The abnormal energy consumption equipment is remotely controlled by the hotel terminal to respond abnormally. Based on the abnormal response, the use rights of the abnormal energy consumption equipment are recovered in a short time, and these factors affecting the failure are fed back to the guest room to inform the guest room users. After confirming that the guest room users are aware of these factors affecting the failure, the use rights of the abnormal energy consumption equipment in the guest room are re-granted. The system takes immediate measures to handle the abnormal equipment to prevent further energy waste or equipment damage, and controls the equipment in time to reduce the economic losses caused by energy consumption and equipment damage caused by the failure. At the same time, the system allows users to understand the abnormal situation of the equipment and its impact on the guest room, increase transparency, and avoid user misunderstandings or complaints caused by abnormal handling measures by informing users. In addition, the safety of equipment and users in the guest room is guaranteed by timely handling of electrical failures and environmental anomalies, avoiding chain failures caused by equipment compatibility issues, and reducing overall risks. Finally, on the premise of ensuring safety and normal operation of the equipment, the use of the equipment is quickly restored to reduce user inconvenience, and through personalized handling measures, the user's satisfaction and trust in hotel services are improved.

[0131] In this embodiment, the second execution module further includes:

[0132] A collection unit, configured to collect a load value corresponding to a current load type of the guest room based on an energy consumption optimization strategy predefined by the hotel terminal;

[0133] A second judgment unit is used to judge whether the load value exceeds a preset threshold value of a single abnormal energy consumption device;

[0134] The second execution unit is used for activating the backup energy consumption equipment corresponding to the current load type in the guest room, transferring the load task of the abnormal energy consumption equipment to the backup energy consumption equipment, applying the preset dynamic load balancing to perform shift operation between the backup energy consumption equipment and the abnormal energy consumption equipment according to the preset operating time period and energy consumption characteristics of the abnormal energy consumption equipment, and generating the collaborative load tasks to be executed by the backup energy consumption equipment and the abnormal energy consumption equipment according to the load value.

[0135] In this embodiment, the system collects energy consumption load values ​​corresponding to the current energy consumption load type of the guest room based on the energy consumption optimization strategy pre-defined by the hotel terminal, and then the system determines whether these energy consumption load values ​​exceed the preset threshold of a single abnormal energy consumption device to execute the corresponding steps; for example, when the system determines that the energy consumption load value corresponding to the current energy consumption load type of the guest room does not exceed the preset threshold of a single abnormal energy consumption device, the system will consider that a certain energy consumption load in the current guest room is within the normal range and there is no abnormal energy consumption. The system will continue to collect and record the energy consumption data of the guest room, analyze the data regularly, and ensure that the energy consumption load is always within the normal range. At the same time, according to the use of the guest room, the operation mode of the equipment is adjusted to improve energy efficiency, such as reducing the power of the air conditioner at night, using energy-saving mode or intelligent control to further reduce energy consumption, and arranging regular equipment inspection and maintenance to ensure that the equipment is always in good condition, and prevent potential failures in advance according to historical data and equipment conditions; for example, when the system determines that the energy consumption load value corresponding to the current energy consumption load type of the guest room exceeds the preset threshold of a single abnormal energy consumption device, the system will consider that a certain energy consumption load in the current guest room is out of normal condition. If an abnormality occurs, the system will activate the backup energy-consuming equipment corresponding to the current energy consumption load type in the guest room, transfer the load task of the abnormal energy-consuming equipment to the backup energy-consuming equipment, and according to the pre-set operating time period and energy consumption characteristics of the abnormal energy-consuming equipment, apply the pre-set dynamic load balancing to perform shift operation between the backup energy-consuming equipment and the abnormal energy-consuming equipment, and generate collaborative load tasks to be executed by the backup energy-consuming equipment and the abnormal energy-consuming equipment according to the load value; by activating the backup energy-consuming equipment and transferring the load task of the abnormal equipment to the backup equipment, the system immediately enables the backup equipment when an abnormality occurs in the main equipment to avoid service interruption and ensure user experience, reduce excessive use of a single device through shift operation, and extend the service life of the equipment, and evenly distribute load tasks between the backup equipment and the abnormal equipment, optimize energy consumption distribution, reduce energy waste, and improve the overall operating efficiency of energy-consuming equipment by dynamically adjusting the operating status of the equipment, and avoid long-term high-load operation of a single device through shift operation and load balancing, reduce the probability of failure, and switch to the backup equipment seamlessly. Users will hardly notice the abnormality of the equipment, ensuring a stable and comfortable experience for users when using the equipment.

[0136] In this embodiment, the judgment module further includes:

[0137] An identification unit, configured to identify a user staying in the guest room based on the occupancy status of the guest room pre-queried by the hotel terminal;

[0138] A third judgment unit is used to judge whether the staying user has stayed in the guest room for more than a preset period of time;

[0139] The third execution unit is used for resetting the daily energy consumption in the hotel terminal if no, and re-collecting the continuous energy consumption generated when the energy-consuming equipment is in operation according to a time node preset by the hotel terminal.

[0140] In this embodiment, the system identifies the user staying in the guest room based on the accommodation status of the guest room pre-queried by the hotel terminal, and then the system determines whether the user has stayed in the guest room for more than a preset period of time to execute corresponding steps; for example, when the system determines that the user has stayed in the guest room for more than a preset period of time, the system will consider that the user still chooses to continue staying in the guest room after completing the check-in, that is, the system does not need to reset the daily energy consumption collection in the guest room, because the user has been using abnormal energy consumption equipment in the guest room, and there are no vacant rooms in the guest room. The system will continue to monitor the accommodation status of the guest room, confirm whether the user continues to stay in the guest room, update the energy consumption data in real time to reflect the actual energy consumption situation, continue to record the current energy consumption data, and continue to monitor the abnormal energy consumption equipment in the guest room to ensure the accuracy of the equipment status and energy consumption data, record the usage of each abnormal energy consumption equipment in detail, including the operating time and energy consumption data, and analyze the continuously collected energy consumption data. The system can identify whether there are abnormal energy consumption patterns and evaluate the impact of long-term use of abnormal energy-consuming devices on energy consumption levels. For example, when the system determines that the user's stay in the guest room has not exceeded the preset period of time, the system will consider that the user has completed his stay in the guest room and has left the room. The system needs to reset the daily energy consumption collection in the guest room and reset the daily energy consumption in the hotel terminal. According to the preset time node of the hotel terminal, the continuous energy consumption generated by the operation of the energy-consuming equipment will be re-collected. The system stops the energy consumption data collection during the current user's stay and saves the current energy consumption data to the historical records for subsequent analysis. At the same time, it resets the meters of all energy-consuming devices in the guest room and returns the energy consumption readings to zero to ensure that all energy-consuming devices are restored to their initial state and are ready to welcome the next user's stay. It also initializes the energy consumption collection settings and restarts the collection of energy consumption data for the next user. According to hotel standards, the energy-consuming equipment is calibrated regularly to ensure the accuracy of data collection.

[0141] In this embodiment, the second determination module further includes:

[0142] A calculation unit, configured to calculate in real time the abnormal check-in weight value of the check-in user changing in the guest room based on the weight factors preset by the hotel terminal, wherein the weight factors specifically include energy consumption data, equipment status, check-in time, external environment and user behavior;

[0143] A fourth judgment unit, used to judge whether the check-in abnormality weight value exceeds a preset weight threshold;

[0144] The fourth execution unit is used to identify corresponding abnormal classification information from the occupancy abnormality weight value, detect the abnormal classification information to extract abnormal weight features, wherein the abnormal classification information specifically includes a nature dimension, an impact range dimension and a severity dimension, and the abnormal weight features specifically include a time feature, an amplitude feature and a device feature.

[0145] In this embodiment, the system calculates the abnormal check-in weight value of the check-in user in the guest room in real time based on the weight factors pre-set by the hotel terminal, which specifically include energy consumption data, equipment status, check-in time, external environment and user behavior. Then the system determines whether the abnormal check-in weight value exceeds the preset weight threshold to execute the corresponding steps; for example, when the system determines that the abnormal check-in weight value of the check-in user in the guest room does not exceed the preset weight threshold, the system will consider that the behavior pattern of the check-in user meets normal expectations and there is no abnormal usage behavior. The system will continue to monitor the energy consumption data and equipment status in the guest room to ensure that any potential Abnormalities can be discovered in time, maintain the stability of data collection and analysis, continue to collect and record energy consumption data for reference in subsequent changes that may occur, and regularly evaluate and optimize existing energy consumption management and monitoring strategies to ensure that the system can adapt to different user behaviors and external environment changes. According to historical data and trends, adjust and optimize the preset weight thresholds to adapt to new data patterns and needs, and generate regular reports on energy consumption and equipment status to provide to hotel managers to ensure that they understand the normal energy consumption of guest rooms; for example, when the system determines that the abnormal weight value of the occupancy of the occupant in the guest room exceeds the preset weight threshold At this time, the system will think that there is abnormal usage behavior in the behavior pattern of the occupant, and the system will identify the corresponding abnormal classification information from the occupancy abnormal weight value. The abnormal classification information specifically includes the nature dimension, the impact scope dimension and the severity dimension. These abnormal classification information are detected to extract abnormal weight features. The abnormal weight features specifically include time features, amplitude features and equipment features; the system monitors and analyzes the occupant behavior pattern of the system. When it is detected that the occupancy abnormal weight value exceeds the preset threshold, the abnormal usage behavior of the user is effectively identified, and unreasonable energy consumption can be discovered in time, so that corresponding measures can be taken to adjust and optimize. At the same time, the abnormal classification information is identified and classified, including the nature dimension, the impact scope dimension and the severity dimension, which is helpful for more refined management and processing of energy consumption abnormalities. Through classification in different dimensions, the specific cause and impact scope of the abnormality can be accurately identified, and more targeted solutions can be formulated. After identifying and extracting the abnormal weight features, the system can take corresponding management measures for different types of abnormalities to improve the efficiency of energy consumption management. For example, for time feature abnormalities, the equipment running time can be adjusted, and for amplitude feature abnormalities, the equipment energy consumption strategy can be optimized. In addition, for equipment feature abnormalities, equipment maintenance or replacement can be performed.

[0146] In this embodiment, the acquisition module further includes:

[0147] A division unit, configured to divide the guest room into collection time nodes for equipment energy consumption based on the occupancy type preset by the hotel terminal for the guest room, wherein the occupancy type specifically includes the size of the guest room, the length of stay, and the number of guests;

[0148] A fifth judgment unit, used for judging whether the collection time node is after the guest room is occupied;

[0149] The fifth execution unit is used to detect the energy consumption monitoring upper limit of the guest room in real time according to the fixed energy consumption of the equipment pre-recorded by the hotel terminal if no.

[0150] In this embodiment, the system divides the collection time nodes of the guest room's equipment energy consumption based on the occupancy type pre-set by the hotel terminal for the guest room, which specifically includes the room size, occupancy duration and number of occupants. The system then determines whether these collection time nodes are after the guest room is occupied by the room user to execute the corresponding steps; for example, when the system determines that the collection time node of the guest room's equipment energy consumption is after the guest room is occupied by the room user, the system will consider that the system is collecting the equipment energy consumption data during the user's stay in real time to ensure that the recorded energy consumption data reflects the actual usage of the current user. The system will stably collect equipment energy consumption data during the period when the guest room is occupied by the user to ensure the continuity and integrity of the data, continuously monitor the operating status of the equipment, promptly identify and handle any abnormal situation, and analyze the collected energy consumption data at the same time to understand the behavior patterns and energy consumption habits of the occupants, identify high energy consumption time periods and equipment, and use the data analysis results to identify the user's energy consumption mode, provide a basis for optimizing energy consumption management, and adjust the energy consumption management strategy to optimize the operating time and mode of the equipment, reduce unnecessary energy waste, and provide personalized energy consumption management according to the energy consumption habits of different users. The system can provide personalized services and suggestions to improve the user experience; for example, when the system determines that the time node of the guest room's equipment energy consumption collection is not after the room is occupied by the room user, the system will consider the room to be vacant at this time, and the system will detect the energy consumption monitoring upper limit of the room in real time according to the fixed energy consumption of the equipment pre-recorded by the hotel terminal; the system detects the energy consumption monitoring upper limit of the guest room in real time according to the fixed energy consumption of the equipment pre-recorded by the hotel terminal, which helps to improve the accuracy of energy consumption monitoring and ensure that the energy consumption data in the vacant state is based on the preset fixed energy consumption standard, rather than being affected by the behavior of the occupant user. At the same time, in the vacant state, the system can detect any energy consumption abnormality in time by detecting the energy consumption monitoring upper limit in real time. If the energy consumption in the vacant state exceeds the preset fixed energy consumption, this may indicate that there is a device failure, an unclosed device or other abnormal conditions. Timely detection of these abnormalities can avoid unnecessary energy waste, and real-time detection of the energy consumption monitoring upper limit in the vacant state helps to ensure the normal operation of the equipment. By detecting and analyzing the fixed energy consumption of the equipment, the system can detect and handle abnormal conditions in the operation of the equipment to ensure the normal operation and maintenance of the equipment in the vacant state.

[0151] Although embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that various changes, modifications, substitutions and variations may be made to the embodiments without departing from the principles and spirit of the present invention, and that the scope of the present invention is defined by the appended claims and their equivalents.

Claims

1. A method for monitoring energy consumption of hotel guest rooms, characterized in that: The following steps are involved: Based on the preset upper limit of energy consumption monitoring for the guest room by the hotel terminal, the daily energy consumption of the guest room is regularly collected; Determining whether the daily energy consumption exceeds the energy consumption monitoring upper limit; If yes, then identify the housing status of the guest room, classify the abnormal energy-consuming devices in the guest room according to the housing status, collect the abnormal duration of the abnormal energy-consuming devices, obtain the energy consumption fluctuation data of the abnormal energy-consuming devices according to the abnormal duration, compare the housing status with the energy consumption fluctuation data, and generate the occupancy abnormality weight value of the guest room, wherein the housing status specifically includes occupied and vacant; Determining whether the check-in abnormality weight value reaches a preset weight; If not, the abnormal energy consumption equipment of the hotel terminal cluster is used to construct a collaborative operation mechanism of the abnormal energy consumption equipment, and the abnormal energy consumption equipment is exchanged with data within a preset period based on the collaborative operation mechanism, and the operation state of the abnormal energy consumption equipment is adaptively adjusted, and the abnormal rules of the abnormal energy consumption equipment are uploaded according to the operation state, wherein the operation state specifically includes opening, closing and adjusting power, and the abnormal rules specifically include frequency abnormality, mode abnormality and response abnormality; Among them, the step of obtaining the energy consumption fluctuation data of the abnormal energy-consuming equipment according to the duration of the abnormality, comparing the housing status with the energy consumption fluctuation data, and generating the occupancy abnormality weight value of the guest room also includes: Obtaining equipment usage information of the guest room during a preset check-in period; Determining whether the device usage information matches the abnormal energy consumption device; If so, identifying the fault influencing factors of the abnormal energy consumption device on the guest room, remotely controlling the abnormal energy consumption device through the hotel terminal to make an abnormal response, and based on the abnormal response, temporarily recovering the use right of the abnormal energy consumption device, feeding back the fault influencing factors to the guest room, and re-granting the use right of the guest room to the abnormal energy consumption device according to the feedback content, wherein the fault influencing factors specifically include electrical impact, environmental impact and compatibility impact; Among them, the step of constructing a collaborative operation mechanism of the abnormal energy consumption equipment from the abnormal energy consumption equipment in the hotel terminal cluster also includes: Based on the energy consumption optimization strategy predefined by the hotel terminal, collecting the load value corresponding to the current load type of the guest room; Determining whether the load value exceeds a preset threshold value of a single abnormal energy consumption device; If so, activate the backup energy-consuming equipment corresponding to the current load type in the guest room, transfer the load task of the abnormal energy-consuming equipment to the backup energy-consuming equipment, and apply the preset dynamic load balancing to perform shift operation between the backup energy-consuming equipment and the abnormal energy-consuming equipment according to the preset operating time period and energy consumption characteristics of the abnormal energy-consuming equipment, and generate the collaborative load tasks to be executed by the backup energy-consuming equipment and the abnormal energy-consuming equipment according to the load value.

2. The method for monitoring energy consumption of hotel rooms according to claim 1, characterized in that: After the step of classifying the abnormal energy-consuming devices in the guest room according to the housing status and collecting the abnormal duration of the abnormal energy-consuming devices, the method further includes: Based on the pre-built energy-consuming device connection relationship of the hotel terminal, identifying the associated energy-consuming devices in the guest room; Determining whether the associated energy-consuming devices detect energy consumption anomalies at the same time; If so, then based on the abnormal energy consumption data pre-collected by the hotel terminal, the abnormal environmental parameters caused by the abnormal energy consumption data in the guest room are obtained, and the historical energy consumption data and the operating status data are collected from the associated energy consumption equipment. Based on the historical energy consumption data and the operating status data, an operating energy consumption baseline of the associated energy consumption equipment is generated in the hotel terminal, and the abnormal characteristics and change trends of the associated energy consumption equipment are identified through the operating energy consumption baseline, wherein the abnormal environmental parameters specifically include temperature, humidity and voltage.

3. The method for monitoring energy consumption of hotel rooms according to claim 1, characterized in that: The step of determining whether the daily energy consumption exceeds the energy consumption monitoring upper limit also includes: Based on the occupancy status of the guest room pre-queried by the hotel terminal, identifying the user staying in the guest room; Determining whether the staying user has stayed in the guest room for more than a preset period of time; If not, the daily energy consumption is reset in the hotel terminal, and the continuous energy consumption generated when the energy-consuming equipment is in operation is re-collected according to the time node preset by the hotel terminal.

4. The method for monitoring energy consumption of hotel rooms according to claim 1, characterized in that: The step of determining whether the abnormal check-in weight value reaches a preset weight also includes: Based on the weight factors preset by the hotel terminal, the abnormal weight value of the check-in user in the guest room is calculated in real time, wherein the weight factors specifically include energy consumption data, equipment status, check-in time, external environment and user behavior; Determining whether the abnormal check-in weight value exceeds a preset weight threshold; If so, the corresponding abnormal classification information is identified from the occupancy abnormality weight value, and the abnormal classification information is detected to extract abnormal weight features, wherein the abnormal classification information specifically includes a nature dimension, an impact range dimension, and a severity dimension, and the abnormal weight features specifically include a time feature, an amplitude feature, and a device feature.

5. The method for monitoring energy consumption of hotel rooms according to claim 1, characterized in that: The step of regularly collecting the daily energy consumption of the guest room based on the energy consumption monitoring upper limit preset by the hotel terminal for the guest room includes: Based on the preset occupancy type of the guest room by the hotel terminal, the collection time nodes of the equipment energy consumption of the guest room are divided, wherein the occupancy type specifically includes the size of the guest room, the length of stay and the number of guests; Determining whether the collection time node is after the guest room is occupied; If not, the energy consumption monitoring upper limit of the guest room is detected in real time according to the fixed energy consumption of the equipment pre-recorded by the hotel terminal.

6. An energy consumption monitoring system for hotel guest rooms, characterized in that: include: A collection module, used to regularly collect the daily energy consumption of the guest room based on the energy consumption monitoring upper limit preset by the hotel terminal for the guest room; A judgment module, used to judge whether the daily energy consumption exceeds the energy consumption monitoring upper limit; an execution module, configured to identify the housing status of the guest room, classify the abnormal energy-consuming devices in the guest room according to the housing status, collect the abnormal duration of the abnormal energy-consuming devices, obtain the energy consumption fluctuation data of the abnormal energy-consuming devices according to the abnormal duration, compare the housing status with the energy consumption fluctuation data, and generate an abnormal occupancy weight value of the guest room, wherein the housing status specifically includes occupied and vacant; The second judgment module is used to judge whether the check-in abnormality weight value reaches a preset weight; The second execution module is used for, if not, clustering the abnormal energy consumption equipment from the hotel terminal, building a collaborative operation mechanism for the abnormal energy consumption equipment, exchanging data with the abnormal energy consumption equipment within a preset period based on the collaborative operation mechanism, adaptively adjusting the operating state of the abnormal energy consumption equipment, and uploading abnormal rules for the abnormal energy consumption equipment according to the operating state, wherein the operating state specifically includes opening, closing and adjusting power, and the abnormal rules specifically include frequency abnormality, mode abnormality and response abnormality; Wherein, the execution module also includes: An acquisition unit, used to acquire the equipment usage information of the guest room within a preset check-in period; A judging unit, used to judge whether the device usage information matches the abnormal energy consumption device; an execution unit, configured to, if yes, identify the fault influencing factors of the abnormal energy consumption device on the guest room, remotely control the abnormal energy consumption device through the hotel terminal to perform an abnormal response, recover the use right of the abnormal energy consumption device in a short time based on the abnormal response, feed back the fault influencing factors to the guest room, and re-grant the use right of the guest room to the abnormal energy consumption device according to the feedback content, wherein the fault influencing factors specifically include electrical impact, environmental impact and compatibility impact; The second execution module further includes: A collection unit, configured to collect a load value corresponding to a current load type of the guest room based on an energy consumption optimization strategy predefined by the hotel terminal; A second judgment unit is used to judge whether the load value exceeds a preset threshold value of a single abnormal energy consumption device; The second execution unit is used for activating the backup energy consumption equipment corresponding to the current load type in the guest room, transferring the load task of the abnormal energy consumption equipment to the backup energy consumption equipment, applying the preset dynamic load balancing to perform shift operation between the backup energy consumption equipment and the abnormal energy consumption equipment according to the preset operating time period and energy consumption characteristics of the abnormal energy consumption equipment, and generating the collaborative load tasks to be executed by the backup energy consumption equipment and the abnormal energy consumption equipment according to the load value.

7. The energy consumption monitoring system for hotel rooms according to claim 6, characterized in that: Also includes: An identification module, used to identify the associated energy-consuming devices in the guest room based on the connection relationship of the energy-consuming devices pre-built by the hotel terminal; A third judgment module is used to judge whether the associated energy-consuming devices detect energy consumption anomalies at the same time; The third execution module is used to obtain the abnormal environmental parameters caused by the abnormal energy consumption data in the guest room according to the abnormal energy consumption data pre-collected by the hotel terminal, collect historical energy consumption data and operating status data from the associated energy consumption equipment, and generate an operating energy consumption baseline of the associated energy consumption equipment in the hotel terminal based on the historical energy consumption data and the operating status data, and identify the abnormal characteristics and change trends of the associated energy consumption equipment through the operating energy consumption baseline, wherein the abnormal environmental parameters specifically include temperature, humidity and voltage.

Images