Intelligent regulation and control method and system for hotel air conditioner

Abstract

The invention belongs to the technical field of intelligent control of air conditioners, and relates to an intelligent regulation and control method and system for hotel air conditioners, and the method comprises the following steps: generating a check-in judgment basic data set; generating a real check-in activation instruction or skipping to a check-out blocking action; an energy-saving standby instruction is generated to control the air conditioner to be switched to a low-power ventilation mode, and a home leaving state mark is output; when a power-taking groove power-off signal is detected and a foreground settlement completion confirmation signal is received, the refrigeration and heating functions of a guest room air conditioner host are closed, and a periodic ventilation mode is entered to generate an empty room energy-saving mark; the surplus cooling capacity is transferred to a high-temperature demand room on the same floor, and meanwhile, an electric charge deduction value corresponding to the idle target room is generated; according to the electric charge deduction value, a hotel settlement system is linked to issue an electric charge deduction voucher, air valve opening adjustment is executed based on the surplus cold energy resource mark, and an air valve automatic distribution action is formed; and outputting the pre-starting regulation and control package to the target air conditioner host. The problem that cold and hot resources in floors cannot be compensated interactively is solved.

Description

Technical Field

[0001] The present invention belongs to the technical field of intelligent air-conditioning control, and relates to an intelligent control method and system for hotel air-conditioning. Background Art

[0002] Hotel room temperature control generally uses a combination of central air conditioning and individual room controls. This traditional approach relies primarily on manual card insertion to determine occupancy, with temperature sensors providing basic constant temperature control. This approach suffers from three inherent flaws: the inability to distinguish between actual occupancy and temporary entry and exit, leading to frequent air conditioning starts and stops; a lack of a dynamic mechanism to balance heating and cooling loads on each floor, resulting in significant energy waste when high and low temperature rooms coexist; and the reliance on manual shutdown of the system after check-out, which poses the risk of continued cooling and heating functions.

[0003] Existing technologies optimize energy consumption through the following methods: using infrared sensors to detect human presence and control air conditioning on and off, or using timed strategies to adjust operating modes during preset periods. Some solutions incorporate networked thermostats, allowing the front desk to remotely shut down room equipment upon check-out. A few high-end systems collect signals from door and window openings to help determine occupancy status and fine-tune air supply parameters based on corridor temperature.

[0004] Based on the above problems, the existing technical solutions still have obvious shortcomings. The cold and hot resources on the floor cannot be compensated interactively, which makes it easy to over-cool or over-heat when guests are away, and the excess cold in the low-temperature rooms is directly discharged to the outside. Summary of the Invention

[0005] In a first aspect, the present invention provides a hotel air conditioning intelligent control method, which adopts the following technical solutions:

[0006] A hotel air conditioning intelligent control method comprises the following steps:

[0007] S1. Collect the switch signals of the guest room door, the human motion detection signals in the room, the power supply signals of the power trough, and the temperature and humidity signals of the floor corridor to generate the basic data set for occupancy judgment;

[0008] S2. Based on the check-in judgment basic data set, when the power supply slot power signal is continuously valid and the door closing signal is triggered, human movement signals are detected during the preset first time period to generate a real check-in activation instruction or jump to the check-out blocking action;

[0009] S3. In response to a real occupancy activation command, the air conditioner is started to operate at full power. If the door remains closed and no human motion signal is detected during the preset second time period, an energy-saving standby command is generated to control the air conditioner to switch to a low-power ventilation mode and an away state flag is output;

[0010] S4. When a power failure signal from the power supply slot is detected and a confirmation signal from the front desk is received, the cooling and heating functions of the guest room air conditioner are turned off, and the room enters the periodic ventilation mode, generating an empty room energy-saving mark.

[0011] S5. Compare the temperature setpoints of guest rooms on the same floor, corridor temperature and humidity signals, and room status tags in real time, identify unused target rooms whose temperature setpoints are lower than the average temperature on the same floor, reduce their air supply volume to generate surplus cooling resource tags, transfer the surplus cooling capacity to high-temperature demand rooms on the same floor, and simultaneously generate electricity cost credits corresponding to the unused target rooms;

[0012] S6. Based on the electricity charge deduction value, the hotel settlement system is linked to issue an electricity charge deduction voucher, and the air valve opening is adjusted based on the surplus cooling resource mark, thereby forming an automatic air valve allocation action;

[0013] S7. Receive the next guest's expected check-in time, combine the outdoor weather type and corridor temperature and humidity signals, dynamically adjust the lead time before the check-in time to activate the air conditioner, and output a pre-start control package to the target air conditioner host.

[0014] A further solution of the present invention generates a real check-in activation instruction, comprising the following steps:

[0015] The basic data set for occupancy judgment filters the period when the power supply signal of the power slot is continuously at a high level;

[0016] Synchronously filter out the time interval during which the door closing signal is a continuous closed loop voltage;

[0017] The time period of continuous high level is overlapped and compared with the time interval of continuous closed state to obtain the time intersection interval;

[0018] The human motion detection signal is scanned within the time intersection interval, and when the human motion signal is detected a preset number of times within the preset first half window within the time intersection interval, a real check-in activation instruction is generated.

[0019] A further solution of the present invention generates an energy-saving standby instruction to control the air conditioner to switch to a low-power ventilation mode, comprising the following steps:

[0020] The real check-in activation command starts the room air conditioner at full power;

[0021] Real-time monitoring of the switch signal of the guest room door and the changes in the human motion detection signal in the room;

[0022] When the switch signal of the guest room door is continuously kept in a low-level closed state and no human movement signal appears within a preset second time period, an energy-saving standby instruction is generated.

[0023] A further solution of the present invention is to enter the periodic ventilation mode and generate an empty room energy-saving mark, comprising the following steps:

[0024] Continuously monitor the signal changes of the basic data set for occupancy judgment, and detect the power-off signal of the power slot through the dry contact relay in the card-insertion power device;

[0025] At the same time, a front desk settlement completion confirmation signal is received from the hotel front desk management system;

[0026] Send a low-level electrical signal to the air-conditioning controller of the target guest room. This low-level electrical signal triggers the internal relay of the air-conditioning to disconnect the power supply of the compressor and heating element, stopping the cooling and heating functions;

[0027] Control the air conditioning fan to start ventilation at the lowest speed at a fixed time and stop running after ventilation is completed.

[0028] A further embodiment of the present invention includes identifying an idle target room having a temperature setting value lower than the average temperature of the same floor, comprising the following steps:

[0029] Calculate the arithmetic mean of the temperature setting values ​​of the guest rooms without the away state flag and the vacant room energy-saving flag to obtain the average temperature on the same floor;

[0030] Scan all rooms with away-from-home status flags or vacant energy-saving flags, and identify rooms with temperature settings lower than the average temperature on the same floor as idle target rooms;

[0031] The idle target room refers to a room that is identified as having an away state flag or an empty room energy-saving flag and a temperature setting value lower than the average temperature of the same floor.

[0032] A further solution of the present invention is to transfer the excess cooling capacity to the high-temperature demand rooms on the same floor, and generate electricity fee deduction values ​​corresponding to the idle target rooms, including the following steps:

[0033] The air supply volume transfer value is calculated proportionally based on the difference between the temperature set point of the high-temperature demand room and the average temperature of the same floor;

[0034] Open the connecting air valve between the idle target room and the high temperature demand room;

[0035] Reduce the air supply volume of unused target rooms to generate surplus cooling resource markers;

[0036] The excess cooling capacity is transferred to the rooms with high temperature demand through the pre-buried air ducts in the building. At the same time, the electricity fee deduction value is calculated based on the reduction range and duration of the air supply volume;

[0037] The electricity charge deduction value refers to the amount calculated by the system to be returned to the user, which is converted into cash compensation based on the actual reduction in air supply volume and its corresponding energy consumption.

[0038] A further solution of the present invention is to perform air valve opening adjustment based on the surplus cooling resource mark, including the following steps:

[0039] Based on the surplus cooling resource marker, locate the room with transferable cooling resources;

[0040] Dynamically adjust the opening of the air supply control valve and the continuous ventilation valve according to the difference between the temperature set value of the high temperature demand room and the average temperature of the same floor;

[0041] Form an automatic air valve distribution action sequence, continuously optimize the cooling capacity distribution, calculate the required air volume according to the real-time temperature setting value of the high-temperature demand room and the average temperature difference on the same floor, and dynamically adjust the rotation angle of the electric air valve to increase or decrease the opening.

[0042] A further solution of the present invention is to dynamically adjust the lead time to activate the air conditioner, comprising the following steps:

[0043] Mapping outdoor weather types to dynamic adjustment coefficients;

[0044] Query the lead time benchmark model based on the temperature value in the floor corridor temperature and humidity signal to obtain the basic lead time duration;

[0045] Multiply the basic lead time by the dynamic adjustment coefficient to get the final activation lead time;

[0046] The dynamic adjustment coefficient and lead time benchmark model are set based on the building thermal inertia characteristics.

[0047] A further solution of the present invention jumps to the check-out blocking action, comprising the following steps:

[0048] When no human movement signal is detected within the preset first time period, the cooling and heating functions of the guest room air conditioner host are directly turned off, and the periodic ventilation mode is entered to generate an empty room energy-saving mark.

[0049] In a second aspect, the present invention provides a hotel air conditioning intelligent control system, which adopts the following technical solutions:

[0050] A hotel air conditioning intelligent control system includes the following modules:

[0051] The signal acquisition module is mainly used to collect the switch signals of the guest room door, the human motion detection signals in the room, the power supply signals of the power trough, and the temperature and humidity signals of the floor corridor to generate the basic data set for occupancy judgment;

[0052] The check-in determination module, based on the check-in determination basic data set, detects human movement signals during the preset first time period when the power supply slot power signal remains valid and the door closing signal is triggered, and generates a real check-in activation instruction or jumps to the check-out blocking action;

[0053] The gradient temperature control module responds to the actual occupancy activation command to start the air conditioner at full power. If the door remains closed and no human movement signal is detected during the preset second time period, it generates an energy-saving standby command to control the air conditioner to switch to low-power ventilation mode and outputs an away state flag;

[0054] The check-out blocking module is mainly used to turn off the cooling and heating functions of the guest room air conditioner host when it detects a power outage signal from the power supply slot and receives a confirmation signal from the front desk that the settlement is completed. It enters the periodic ventilation mode and generates an empty room energy-saving mark.

[0055] The heat and cold balance module compares the temperature setpoints of guest rooms on the same floor, corridor temperature and humidity signals, and room status tags in real time. It identifies idle target rooms whose temperature setpoints are lower than the average temperature on the same floor, reduces their air supply volume, generates surplus cooling resource tags, and transfers the surplus cooling capacity to high-temperature demand rooms on the same floor. It also generates electricity cost deduction values ​​corresponding to the idle target rooms.

[0056] The compensation chain generation module is mainly used to link the hotel settlement system to issue electricity bill deduction vouchers based on the electricity bill deduction value, and to perform air valve opening adjustment based on the surplus cooling resource mark, forming an automatic air valve allocation action;

[0057] The pre-start temperature control module is mainly used to receive the expected check-in time of the next guest, combine the outdoor weather type and the corridor temperature and humidity signals, dynamically adjust the advance period before the check-in time to activate the air conditioner, and output the pre-start control package to the target air conditioner host.

[0058] In summary, the present invention has the following beneficial technical effects:

[0059] 1. Accurately identify the actual occupancy status of guest rooms through the combined collection and fusion analysis of multi-source physical signals. This collaborative verification mechanism, utilizing door switch signals, motion detection signals, power supply trough signals, and corridor temperature and humidity signals, significantly reduces false positives and avoids the problem of air conditioners starting and stopping inadvertently due to environmental interference that can occur with traditional single sensors.

[0060] 2. A unique closed-loop economic incentive system transforms physical energy-saving behaviors into tangible benefits for users. Based on the actual energy savings from reducing air flow, the system automatically generates electricity bill deduction data and links this with the hotel's billing system to issue vouchers. This encourages guests to proactively maintain energy-saving habits, creating a sustainable, virtuous cycle of energy optimization and overcoming the reduced guest experience associated with traditional mandatory temperature control.

[0061] 3. A full-cycle adaptive temperature control strategy covers all scenarios before, during, and after check-in. It dynamically adjusts the pre-start time based on weather conditions and the building's thermal inertia to ensure comfortable room temperatures upon check-in. The gradient temperature control module automatically switches operating power based on occupant activity patterns, and intelligently blocks cooling and heating functions after check-out. These seamless links form a complete energy-saving chain, completely eliminating the response lag associated with traditional timed control strategies. BRIEF DESCRIPTION OF THE DRAWINGS

[0062] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the following briefly introduces the drawings required for use in the embodiments or the description of the prior art. The drawings are used to provide a further understanding of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without creative work.

[0063] Figure 1 A schematic diagram of the flow chart in the embodiment of the present application is disclosed.

[0064] Figure 2 The present invention discloses a schematic structural diagram in an embodiment of the present application. DETAILED DESCRIPTION

[0065] To make the objectives, technical solutions, and advantages of the embodiments of the present invention more clear, the technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the accompanying drawings. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of them. All other embodiments obtained by ordinary technicians in this field without making creative efforts are within the scope of protection of the present invention.

[0066] The following is combined with Figure 1-Figure 2 The preferred embodiments of the present invention are described in detail.

[0067] Refer to the attached Figure 1 The present invention proposes a hotel air conditioning intelligent control method, comprising the following steps:

[0068] S1. Collect the switch signals of the guest room door, the human motion detection signals in the room, the power supply signals of the power trough, and the temperature and humidity signals of the floor corridor to generate the basic data set for occupancy judgment;

[0069] S2. Based on the check-in judgment basic data set, when the power supply slot power signal is continuously valid and the door closing signal is triggered, human movement signals are detected during the preset first time period to generate a real check-in activation instruction or jump to the check-out blocking action;

[0070] S3. In response to a real occupancy activation command, the air conditioner is started to operate at full power. If the door remains closed and no human motion signal is detected during the preset second time period, an energy-saving standby command is generated to control the air conditioner to switch to a low-power ventilation mode and an away state flag is output;

[0071] S4. When a power failure signal from the power supply slot is detected and a confirmation signal from the front desk is received, the cooling and heating functions of the guest room air conditioner are turned off, and the room enters the periodic ventilation mode, generating an empty room energy-saving mark.

[0072] S5. Compare the temperature setpoints of guest rooms on the same floor, corridor temperature and humidity signals, and room status tags in real time, identify unused target rooms whose temperature setpoints are lower than the average temperature on the same floor, reduce their air supply volume to generate surplus cooling resource tags, transfer the surplus cooling capacity to high-temperature demand rooms on the same floor, and simultaneously generate electricity cost credits corresponding to the unused target rooms;

[0073] S6. Based on the electricity charge deduction value, the hotel settlement system is linked to issue an electricity charge deduction voucher, and the air valve opening is adjusted based on the surplus cooling resource mark, thereby forming an automatic air valve allocation action;

[0074] S7. Receive the next guest's expected check-in time, combine the outdoor weather type and corridor temperature and humidity signals, dynamically adjust the lead time before the check-in time to activate the air conditioner, and output a pre-start control package to the target air conditioner host.

[0075] In one embodiment of the present invention, step S1 includes the following steps:

[0076] The system collects guest room door switch signals, room motion detection signals, power trough power signals, and floor corridor temperature and humidity signals, and outputs a basic data set for occupancy judgment.

[0077] Specifically, a contactless door magnetic switch sensor is installed at the point where the hotel room door frame meets the door. This sensor detects the door's opening and closing movements in real time and generates a door opening / closing signal. Utilizing the principle of magnetic field induction, the sensor outputs a high-level signal (logical value 1) when the door is closed, and a low-level signal (logical value 0) when the door is open.

[0078] A passive heat detector is located in the center of the guest room ceiling. It generates a motion detection signal by capturing changes in infrared heat radiation of a specific wavelength emitted by the human body. This motion detection signal is a discrete pulse signal generated by detecting changes in infrared radiation caused by the temperature difference between the human body and the ambient background. It outputs a high-level pulse (logical value 1) when there is motion and a low-level pulse (logical value 0) when there is no motion.

[0079] A card-insertion power supply is embedded in the guest room's wall. A dry contact relay within the device indicates whether the key card is plugged in and powered on. When a key card is inserted into the device, the dry contact relay contacts conduct, outputting a continuous high-level signal (logical value 1). When a key card is not inserted into the device, the dry contact relay contacts are disconnected, and the DC voltage signal returns to zero (logical value 0).

[0080] Environmental detection devices are installed at equal intervals on the ceiling of the public corridor on each floor. The environmental detection devices have built-in temperature sensitive elements and humidity sensitive elements, which output the air temperature value and water vapor content percentage value at that location respectively.

[0081] The original physical signal is transmitted via the building's internal wired network to the floor repeater. The floor repeater combines the room number, signal type code, and millisecond timestamp in a fixed format to form a raw recording unit. After 24 hours of continuous operation, it automatically seals the data into local memory as the basic data set for occupancy determination. The floor repeater is a data aggregation device with a built-in crystal oscillator timing unit. When it receives voltage changes from each signal source, it marks the device's standard time and adds the room location code. The raw recording units are arranged in a four-segment combination of room number, signal source number, timestamp, and signal value to form the basic data set for occupancy determination.

[0082] Among them, the switch signal of the guest room door refers to the electronic signal detected by the contactless door magnetic switch sensor indicating the open or closed status of the guest room door. The signal is set as a binary digital quantity, corresponding to a high level value of 1 when open and a low level value of 0 when closed. The switch status of the guest room door directly reflects the entry and exit behavior of people and is a key indicator for occupancy judgment.

[0083] The human motion detection signal in the room refers to the electronic signal detected by the passive heat source detector, indicating whether there is human movement in the room. The signal is set in the form of discrete pulses. When movement is detected, a pulse event is generated and marked as 1, and when there is no movement, it is marked as 0. The basis is that human movement is a common activity during occupancy, providing direct evidence of human presence;

[0084] The human motion detection signal is determined by the passive heat source detector. When the temperature difference between the 9-14μm infrared heat radiation emitted by a human body and the ambient temperature within the monitoring area is detected and the rate of change of the infrared heat radiation exceeds a preset threshold (e.g., 1°C / minute), the detector triggers a high-level pulse (logical value 1). Otherwise, the detector continuously outputs a steady-state low-level pulse (logical value 0). The preset threshold is derived from experimental data and expert experience.

[0085] The power-on signal of the power trough refers to the electronic signal detected by the power-on detection device indicating whether the power trough in the room is supplying power. The signal is set to a continuous level output, corresponding to a high level value of 1 when power is supplied and a low level value of 0 when power is off. The power usage of the room is indicated based on the power-on status of the power trough, reflecting the status of electrical equipment being turned on during occupancy.

[0086] The temperature and humidity signal combination of the floor corridor refers to the data pair of corridor ambient temperature and humidity collected by the temperature and humidity sensor. This combination is set in numerical form, with temperature recorded in degrees Celsius and humidity recorded in percentage. The basis is that changes in corridor temperature and humidity affect people's behavior patterns. For example, high temperature and high humidity environment reduce people's outdoor activities, which indirectly assists in occupancy judgment.

[0087] In one embodiment of the present invention, step S2 includes the following steps:

[0088] The power supply signal of the power slot of the basic data set for occupancy judgment is continuously valid, and after the door closing signal is triggered, the human movement signal is continuously detected within the preset first time period, generating a real occupancy activation instruction.

[0089] Specifically, the check-in judgment basic dataset extracts continuously recorded data from the target guest room and screens for periods of time when the power trough power signal is continuously high, with a voltage value stable within the DC 4.5V-5.5V range and lasting for more than 10 seconds. This continuously high level uses a standard DC 5V voltage level, compatible with common hotel weak current control equipment. 4.5V is the upper limit of the logic low level, and 5.5V is the lower limit of the logic high level, ensuring that the signal can be stably recognized by digital circuits. The duration is based on an analysis of hotel guest check-in behavior. Historical statistics show that the average guest stay time after inserting the room card into the power trough is 10 seconds or longer.

[0090] The time interval during which the door closed signal output by the contactless door magnetic switch sensor maintains a continuous closed-loop voltage during this period of sustained high level is simultaneously selected. The two periods are overlapped and compared to obtain the time intersection interval. The time intersection interval is the time segment covered by both the high-level period of the power supply slot power signal and the period during which the closed-loop voltage of the door closed signal persists. This is calculated by aligning the millisecond timestamps of the two signals.

[0091] Scanning the passive heat detector signal records within the time intersection interval. Scanning the passive heat detector signal records involves the floor repeater retrieving the passive heat detector output values ​​for the guest room from the original record unit in chronological order. When the passive heat detector senses a moving target, the recorded value is a pulse digital signal of 1; when it does not, the recorded value is a pulse digital signal of 0. If the passive heat detector detects motion two or more times within the first half of the intersection interval, a high-level pulsed true occupancy activation command is generated. This high-level pulsed true occupancy activation command is a square wave electrical signal with an output voltage of 5V DC and a duration of 200ms, which is directly connected to the relay control terminal on the air conditioner mainboard via twisted-pair copper wire.

[0092] The first half window is defined as the first fifty percent of the time intersection interval. The number of detected mobile signals is counted using an accumulative counter, and the count value increases by one each time a pulse digital signal 1 appears.

[0093] The first preset time period is set to a five-minute window after both the power supply trough power-on signal and the door closed signal are valid. The five-minute window begins at the timestamp of the overlap between the two valid intervals. The five-minute window is set based on actual hotel scenarios. The average time it takes for a maid to clean a room is four and a half minutes. This time is set to cover brief ingress and egress.

[0094] In one embodiment of the present invention, step S3 includes the following steps:

[0095] The real check-in activation command starts the guest room air conditioner at full power. If the door remains closed and no human movement signal is detected during the preset second time period, an energy-saving standby command is generated to control the air conditioner to switch to low-power ventilation mode and output an away-home status mark.

[0096] Specifically, upon receiving the actual check-in activation command generated in step S2, a high-level electrical signal is sent to the target guest room's air conditioning controller via the air conditioning control circuit. This signal drives the air conditioning compressor and fan to full power at maximum speed. The actual check-in activation command refers to the specific electronic pulse signal generated in step S2, which has been verified in step S2 to represent an actual check-in event. The system continuously accesses the basic check-in determination dataset to obtain the latest records and monitors changes in the room door opening and closing signals and the human motion detection signals within the room in real time.

[0097] If the guest room door switch signal remains in a low-level closed state, that is, the guest room door switch signal remains in a stable low-level state of 0, which corresponds to the physical state of the door leaf and door frame being completely closed, indicating that no one has entered or exited the room. Furthermore, if the human motion detection signal in the room does not show a detection record of 1 during a preset second time period (e.g., 30 minutes), an energy-saving standby command is generated and sent to the air conditioner controller via the same control line. The energy-saving standby command triggers the air conditioner's internal relay switching circuit, causing the compressor to stop and the fan to reduce to the lowest speed, thus achieving a low-power ventilation mode.

[0098] The energy-saving standby command is an electronic command signal that controls the switching of air conditioning modes. This command is set as a low-level continuous signal and connects to the normally closed contacts of the air conditioning relay via a control circuit. This low-level signal drives the relay to disconnect the compressor power supply and connect the low-speed fan circuit. Low-power ventilation mode is a low-energy state in which the air conditioner operates. This mode is set to stop the compressor and run the fan motor at 20% of its rated power. This is to maintain basic air circulation while minimizing power consumption, complying with hotel energy-saving standards. Simultaneously, an away-from-home status flag is output to the central monitoring unit's data storage area. The away-from-home status flag is a binary value that indicates whether the room is unoccupied. This flag is set to a value of 1 for an unoccupied room and 0 for an occupied room.

[0099] The preset second time period refers to a fixed duration set by the system's internal timer, which is based on the hotel's actual occupancy statistics to avoid misjudging short periods of absence. For example, the average duration of a guest leaving the room for a short period of time, such as going out for dinner, is 25-30 minutes.

[0100] In one embodiment of the present invention, step S4 includes the following steps:

[0101] When a power failure signal from the power supply slot is detected and a confirmation signal of settlement completion is received from the front desk, the cooling and heating functions of the guest room air conditioner host are turned off, and the cyclic ventilation mode is entered to generate an empty room energy-saving mark.

[0102] Specifically, the system continuously monitors signal changes in the check-in judgment basic data set. The dry contact relay within the card-insertion power supply device detects a power-off signal from the power supply slot. This is when the power-on signal outputs a low-level value of 0. Simultaneously, the system receives a high-level pulse signal, indicating that the front desk settlement is complete, from the hotel's front desk management system via Ethernet or RS-232. The system then immediately sends a low-level electrical signal to the target guest room's air conditioning controller via the air conditioning control circuit. This signal triggers the air conditioner's internal relay to disconnect the power supply to the compressor and heating element, completely stopping both cooling and heating functions. The power-off signal from the power supply slot refers to the low-level value of 0 output by the dry contact relay within the card-insertion power supply device. This is based on the fact that a power-off signal from the power supply slot directly reflects a power outage caused by the card being pulled out. This physical evidence of a power outage caused by the card being pulled out is considered physical evidence of check-out.

[0103] The front desk checkout completion confirmation signal is an electronic signal generated by the hotel's front desk management system. It is manually triggered by the front desk staff upon completion of checkout, confirming that the guest has completed checkout. Completely shutting down the cooling and heating functions refers to an electrical signal sent by the system to activate the air conditioner relay, disconnecting the circuits between the compressor and heating elements. This operation is configured to achieve complete shutdown by disconnecting the normally open relay contacts. This is done to eliminate energy waste by disabling the air conditioner's cooling and heating functions, meeting energy conservation requirements for vacant rooms.

[0104] The system then activates cyclic ventilation mode, which involves the air conditioning fan starting and stopping periodically when not in use for cooling or heating. This mode is controlled by the air conditioning controller's internal timer, which is set to start the fan every thirty minutes for five minutes. This is in accordance with hotel vacancy maintenance standards, which require regular ventilation to maintain air quality. The thirty-minute interval and five-minute duration are set based on measured data to balance energy consumption and air circulation requirements. The system generates a vacancy energy-saving flag, a binary signal set to 1 for a vacant room and 0 for a fully vacant room. This flag is transmitted via the data bus to the central monitoring unit's data storage area, where it is used to indicate that the room has been checked out.

[0105] At the same time, if no human movement signal is detected within the first time period preset in step S2, the process directly jumps to step S4 to turn off the cooling and heating functions of the guest room air conditioner host, enter the periodic ventilation mode and generate an empty room energy-saving mark.

[0106] In one embodiment of the present invention, step S5 includes the following steps:

[0107] Collect the current temperature setting value data of all guest rooms on the same floor, the temperature and humidity signals of the corridor, and the room status mark (away state mark, vacant room energy saving mark);

[0108] Identify idle target rooms (including away-from-home status marks and vacant room energy-saving marks) whose current temperature setting value data is lower than the average temperature on the same floor; reduce the air supply volume of the idle target rooms to generate surplus cooling resource marks; automatically transfer the surplus cooling capacity to the high-temperature demand rooms on the same floor through the air ducts; and generate the electricity charge deduction value corresponding to the idle target rooms.

[0109] Specifically, the current temperature setting value data for all guest rooms on the same floor, the temperature and humidity signals in the corridor obtained in step S1, and the room status flags (Away status flag, Vacant room energy-saving flag) generated in steps S3 and S4 are collected. First, the arithmetic mean of the temperature setting values ​​of all non-idle guest rooms on the same floor is calculated as the average temperature on the same floor, excluding the data of rooms with Away status flags or Vacant room energy-saving flags. The average temperature on the same floor refers to the average temperature setting values ​​of guest rooms in use on the same floor. Rooms with Away status flags or Vacant room energy-saving flags are excluded from the calculation. Only rooms that are actually occupied are counted to reflect the actual temperature demand.

[0110] The system scans all rooms with either the Away Status or Vacant Energy Saving flags and identifies those with setpoints below the floor average as unused target rooms. These rooms are identified as rooms that simultaneously meet the requirements of the Away Status or Vacant Energy Saving flags and have setpoints below the floor average. These rooms possess transferable excess cooling capacity. For each unused target room, the system uses the air conditioning duct control module to reduce the air flow control valve opening to 40% of its original opening. A binary excess cooling resource flag is generated in the central monitoring unit and stored in the corresponding register for that room.

[0111] The air supply volume control valve is an electrically controlled damper installed in the air conditioning duct branch. The lowering setting reduces the valve's rotation angle from 90 degrees to 36 degrees. Based on the linear relationship between air volume opening and opening, actual measurements show that a 40% opening results in 42% of the original air volume. Simultaneously, the floor duct pressure sensor monitoring system is activated. If a room with a high-temperature demand (i.e., a room with a set temperature higher than the average temperature on the same floor and no status marker) is detected, the connecting air valve between the unused target room and the high-temperature demand room will automatically open, allowing excess cold air to be transferred to the high-temperature demand room through the building's pre-buried air ducts.

[0112] The air supply transfer value is allocated according to the target room temperature difference ratio. The allocation formula is:

[0113] Q t Represents the actual transfer air volume, in cubic meters per hour; T a Represents the average temperature in degrees Celsius at the same layer; T s Represents the idle target room temperature setpoint in degrees Celsius; T minRepresents the minimum set temperature in degrees Celsius, used to eliminate dimension, with a typical value of 1°C; Q max is the maximum duct flow rate, in cubic meters per hour; k is the compensation coefficient, the specific value of which is derived from historical test results of minimizing temperature fluctuations and maximizing duct utilization, and a typical value is 0.35.

[0114] For each idle target room whose air supply volume is reduced, the system calculates the electricity charge deduction value according to the reduction range. The calculation formula is Credit = α × (V o -V a )×t;

[0115] Credit represents the electricity charge deduction value, in yuan; V o is the original air supply volume in cubic meters per hour; V a is the adjusted air volume, in cubic meters per hour; t is the duration in hours from the last adjustment to the current value, in hours per hour; α represents the unit air volume energy consumption coefficient, in yuan per cubic meter; the specific value of the unit air volume energy consumption coefficient is derived from the measured data of the typical commercial building air duct system, and the typical value is α = 0.08 yuan / m 3 The calculated result is associated with the room number. The electricity fee credit is the amount the system calculates should be returned to the user. This cash compensation is calculated based on the actual reduction in air volume and the corresponding energy consumption.

[0116] A high-demand room is a room with a set temperature higher than the average temperature on the same floor and without any status flags. This setting is based on the assumption that a higher-than-average set temperature indicates a need for more cooling. A connecting air valve is an electrically controlled valve connecting the air ducts of two rooms. Upon receiving a control signal, the valve motor rotates 90 degrees to the fully open position, achieving maximum airflow.

[0117] The surplus cooling resource mark refers to a binary identifier stored in the register of the central monitoring unit. The surplus cooling resource mark is set to a value of 1 to indicate that there are transferable cooling resources in the room, and 0 to indicate that there are no surplus resources. Available resources can be quickly located based on this mark.

[0118] In one embodiment of the present invention, step S6 includes the following steps:

[0119] The hotel settlement system is linked to user incentive data, and electricity deduction vouchers are issued to the accounts of corresponding room users. The opening of the air valves on the same floor is adjusted based on the surplus cooling resource mark, forming an automatic air valve allocation action.

[0120] Specifically, the user incentive database extracts the latest user incentive data for all rooms. The user incentive data includes the room number and the electricity deduction value. The user incentive database refers to a dedicated data table that stores the electricity deduction value data generated in step S5. The database is set as an independent table structure in the MySQL relational database. The fields include the room number, deduction amount, and operation timestamp. The efficient management of user incentive information facilitates quick query and update. The electricity deduction value data packet is sent to the dedicated communication interface of the hotel settlement system through the hotel's internal Ethernet connection. After receiving the data packet, the settlement system parses the room number and deduction amount, automatically updates the account balance of the corresponding room user, and generates an electronic electricity deduction voucher stored in the user bill record in the settlement database. The electricity deduction voucher refers to the electronic compensation record generated and stored by the hotel settlement system. The voucher is set in the form of a database record directly linked to the balance field of the user account. The electricity bill amount is automatically deducted during settlement to simplify user operations.

[0121] The system scans the central monitoring unit's register status in real time. If it detects a room's excess cooling resource flag value of 1, it immediately initiates the damper opening adjustment program. This program is an automated software module that controls the opening of air conditioning duct valves. This program, implemented as cyclical code within the floor PLC controller, adjusts the damper opening to achieve efficient cooling transfer. The damper opening adjustment program sends control signals to the target room's air supply control valve and ventilator via the floor controller's digital output port.

[0122] Adjust the valve opening to optimize the distribution of cooling capacity. Specifically, the required air volume is calculated based on the real-time temperature setting value of the room with high temperature demand and the average temperature difference on the same floor. The rotation angle of the electric air valve is dynamically adjusted to increase or decrease the opening to ensure that the surplus cooling capacity is transferred to the room in demand through the pre-buried air duct. During the operation, the system continuously records the changes in the air valve position and the cooling capacity transfer effect, forming a set of automatically executed air valve automatic distribution action sequences. This sequence is executed through a preset logic loop to achieve continuous optimization of the cooling and heating balance of the floor. The air valve automatic distribution action sequence refers to the valve adjustment sequence automatically completed by the system. This action is set as a continuous process of dynamically adjusting the air valve opening based on real-time data, forming a closed-loop control to maximize the cooling capacity utilization efficiency and reduce manual intervention.

[0123] In one embodiment of the present invention, step S7 includes the following steps:

[0124] The system receives the next guest's estimated check-in time from the hotel management system, combines the outdoor weather type (sunny / rainy / high temperature / low temperature) and the temperature and humidity signals in the floor corridor, activates the air conditioner at a preset lead time before the check-in time, dynamically adjusts the length of the lead time according to the outdoor weather type, and outputs a pre-start control package containing the start-up time instruction to the target guest room air conditioner host.

[0125] Specifically, the expected check-in time data of the next guest in the target room is obtained from the hotel management system through the OPC communication protocol. The expected check-in time refers to the planned check-in time of the next guest provided by the hotel management system and is set as a timestamp in the format of YYYY-MM-DD HH:MM:SS, based on the standardized time data generated for the hotel reservation system. At the same time, the real-time weather data interface provided by the Meteorological Bureau and the floor corridor temperature and humidity signals collected in step S1 are connected. When the expected check-in time is valid, the pre-start temperature control calculation engine is started: the weather type code returned by the weather data interface is parsed. The weather type code refers to the classification identifier returned by the weather data interface and is set as an integer value (1 = sunny, 2 = cloudy and rainy, 3 = high temperature, 4 = low temperature) based on the standard classification of the International Meteorological Organization. The weather type is mapped to the corresponding dynamic adjustment coefficient (the sunny coefficient is 1.0, the cloudy and rainy coefficient is 1.2, the high temperature coefficient is 0.8, and the low temperature coefficient is 1.5).

[0126] The dynamic adjustment coefficient is a time scaling factor set according to different weather types. The coefficient value is based on the measured data of thermal inertia of hotel buildings: on rainy days, due to high humidity, the preheating time needs to be extended, so it is set to 1.2; on hot days, the heat transfer is fast, so it is shortened to 0.8; on cold days, a longer preheating time is required, so it is set to 1.5. Combined with the temperature value T of the floor corridor temperature and humidity signal adj Substitute into the lead time benchmark model, which refers to the function module for calculating the basic preheating time, the temperature threshold T min and T max Based on the heat balance experiment of hotel rooms and the difference in heat exchange efficiency corresponding to different temperature zones: T adj ≤T min Output 60 minutes, T min <T adj ≤T max Output 45 minutes, T adj >T max Output for 30 minutes.

[0127] Finally, multiply the basic lead time by the dynamic adjustment coefficient of the weather type to get the final activation lead time T adv =T base ×W type , the system will check in T before the expected check-in time adv A pre-start control packet is generated every 10 minutes and sent to the target guest room's air conditioning unit via the RS-485 bus. The pre-start control packet is a set of control instructions sent to the air conditioning unit, formatted as a 16-byte binary file. Bytes 0-5 store the air conditioning start time (Unix timestamp), bytes 6-7 store the initial temperature setting value (integer), and byte 8 stores the operating mode identifier (0 = automatic, 1 = cooling, 2 = heating). This is based on the air conditioning unit communication protocol standard. Activation lead time T advRefers to the final calculated early start time, set in minutes and triggered by the system timer, based on ensuring that the room reaches a comfortable room temperature upon check-in.

[0128] Example 1

[0129] In order to verify the effectiveness of the method described in the present invention, a four-star business hotel with 200 rooms in a city center was used as an application scenario. The hotel faced the challenges of high energy consumption, extensive management, and inability to meet the personalized comfort needs of guests in traditional air-conditioning systems. Especially when the occupancy rate fluctuates greatly, ineffective cooling / heating of vacant rooms or rooms where guests are temporarily away leads to huge energy waste and increases the hotel's operating costs. Traditional air-conditioning control relies on guests inserting cards to access power and manual adjustment, which has a delayed response and cannot achieve refined and forward-looking intelligent management. The present invention is intended to be applied to the hotel's guest room air-conditioning system. Through multi-dimensional perception, intelligent judgment and automated control, it can achieve ultimate energy saving, enhance the guest experience and create a new user incentive model.

[0130] In this example, the system first performs full-process tracking for guest room 808. In step S1 (status data collection), the system deploys the appropriate sensors. Specifically, a contactless door magnetic switch is installed on the door frame of guest room 808, a passive heat source detector is installed in the center of the ceiling, a card-operated power slot is deployed on the wall, and three temperature and humidity sensors are evenly spaced in the public corridor on the 8th floor. The signals collected by these sensors, along with the room number and millisecond-level timestamp, are aggregated to a floor repeater, forming the basic data set for occupancy determination used for subsequent analysis.

[0131] Step S2 (actual check-in determination) is verified in a specific scenario. At 2:05 PM on October 26, 2023, guest Mr. Wang checked in and entered room 808. The system detected the following sequence:

[0132] 1. At 14:05:12, the power supply signal of the power supply slot becomes a continuous high level (logical value 1).

[0133] 2. At 14:05:20, the door closing signal was triggered.

[0134] 3. During the subsequent preset first time period (5 minutes), from 14:05:20 to 14:10:20, the passive heat source detector captured four human movement signals.

[0135] Since all the conditions of "power on", "door closed" and "continuous activity during the time period" were met, the system generated a real check-in activation instruction at 14:10:21.

[0136] Step S3 (energy-saving standby switching) is initiated when Mr. Wang briefly leaves the room. At 18:30 that afternoon, Mr. Wang went out for dinner, but did not remove the room card. The system monitored that the door of guest room 808 remained closed after 18:30, and no human movement signals were detected during the preset second time period (30 minutes), from 18:30 to 19:00. The system determines that the guest has left home and generates an energy-saving standby instruction at 19:00:01. This instruction controls the air-conditioning compressor of guest room 808 to stop, switches the fan to a low-power ventilation mode of 20% of the rated power, and marks the room as "away state".

[0137] Step S4 (check-out vacant room processing) was executed when Mr. Wang checked out the next day. At 11:50 AM, the system detected that the power supply signal for room 808 had turned off (logical value 0) due to the removal of the room card. Almost simultaneously (11:52:30 AM), the system received a "room 808 settlement completion confirmation signal" from the hotel's front desk settlement system via Ethernet. These two conditions combined triggered the check-out blocking action. The system immediately disabled the cooling and heating functions of the 808 air conditioner, leaving only a 5-minute ventilation cycle every 30 minutes. It also generated a "vacant room energy saving" flag for the room.

[0138] Steps S5 and S6 are the core innovations of the present invention, which were demonstrated on a hot afternoon when the temperature in the corridor on the 8th floor was 28°C and the humidity was 65%.

[0139] 1. Status Collection and Identification: The system collects the status of each room on the 8th floor. Room 808 is marked "Vacant Room Energy Saving," and its air conditioning setpoint is 22°C before departure. Meanwhile, the average setpoint temperature for the currently occupied rooms on the floor (e.g., 801, 802, and 805) is 24.5°C. Because room 808 is vacant and its setpoint of 22°C is lower than the average temperature of 24.5°C on the same floor, it is identified as an unused target room. Meanwhile, the new guest checking into room 810 wants a quicker cooling and sets the temperature to 20°C, making the room identified as a high-temperature demand room.

[0140] 2. Cooling Transfer and Mark Generation: A command is sent to the air conditioning duct control valve in Room 808, reducing its air flow from 90% to 40%. This generates a "surplus cooling resource" marker, and a formula is used to calculate the amount of cooling that can be transferred. This excess cooling is then directed to Room 810, which has a high-temperature demand, via pre-configured connecting ducts on the floor, achieving dynamic cooling redistribution within the floor.

[0141] 3. Electricity deduction and incentive: Based on the reduced air volume and duration of room 808 (assuming it is 2 hours), the system will use the formula Credit = α × (V o -V a)×t(where the unit air volume energy consumption coefficient α is set to 0.08 yuan / m 3 ), calculating the corresponding electricity bill deduction value to be 1.28 yuan. This data was linked to the hotel's settlement system through the user incentive database, and a 1.28 yuan electricity bill deduction voucher was automatically issued to Mr. Wang's account as a reward for his contribution to the hotel's energy conservation.

[0142] Step S7 (pre-start control) provides a better check-in experience for the next guest. The hotel management system shows that Ms. Li will check into room 808 at 4:00 PM the next day.

[0143] 1. Data fusion: The system obtains the estimated check-in time of "16:00" and learns from the meteorological data interface that the weather on that day is "high temperature" (dynamic adjustment coefficient is 0.8). It also collects the real-time temperature of the floor corridor as 29°C.

[0144] 2. Lead time calculation: According to the lead time benchmark model, the basic lead time in a 29°C environment is 24 minutes.

[0145] 3. Command issuance: 24 minutes before the scheduled check-in time, at 3:36 PM, the system automatically generates a pre-start control package and sends it via the RS-485 bus to the air conditioning unit in room 808. When Ms. Li arrives promptly at 4:00 PM, the room has reached her preferred comfort temperature.

[0146] Comparative data shows that the application of this invention has significantly improved the business hotel's air conditioning energy consumption and management efficiency. The system accurately identifies actual occupancy, temporary absences, and vacant rooms, eliminating ineffective energy consumption. By scheduling cooling capacity within each floor, it not only meets the urgent cooling needs of some guests but also enhances customer loyalty through user incentives.

[0147] Table 1 Example of guest room air conditioning control priority determination (time: 15:00 p.m.)

[0148]

[0149] Table 2 Air conditioning operation mode adaptive strategy

[0150] Monitoring objects Control priority Operation Mode Air supply volume control Resource Tagging Room 808 High (surplus cooling source) Periodic ventilation Lower to 40% opening Surplus cooling resources Room 810 High (high temperature demand) Full power cooling Increase to 100% opening and receive excess cooling capacity - Room 802 Medium (normal operation) Run on demand Automatically adjust according to indoor temperature - Room 803 Low (energy-saving standby) Low power ventilation Lock 20% opening Away from home

[0151] Table 3 Cooling capacity distribution and incentive effect

[0152]

[0153] As can be seen from the data in Tables 1 to 3 above, through multi-dimensional perception and intelligent algorithms, refined, automated, and humanized management of hotel room air conditioning can be achieved. Table 1 clearly shows how the system assigns differentiated control priorities to different rooms based on real-time status. Table 2 reflects the adaptive operation strategy implemented by the system accordingly. The results in Table 3 demonstrate the unique value of this invention in resource scheduling and improving customer experience. It successfully upgrades the hotel air conditioning system from a passive energy-consuming device to an active, value-recreating intelligent service system, providing a solid technical guarantee for the green and intelligent transformation of the hotel industry.

[0154] See attached Figure 2 The present invention proposes a hotel air conditioning intelligent control system, which includes the following modules:

[0155] The signal acquisition module is mainly used to collect the switch signals of the guest room door, the human motion detection signals in the room, the power supply signals of the power trough, and the temperature and humidity signals of the floor corridor to generate the basic data set for occupancy judgment;

[0156] The check-in determination module, based on the check-in determination basic data set, detects human movement signals during the preset first time period when the power supply slot power signal remains valid and the door closing signal is triggered, and generates a real check-in activation instruction or jumps to the check-out blocking action;

[0157] The gradient temperature control module responds to the actual occupancy activation command to start the air conditioner at full power. If the door remains closed and no human movement signal is detected during the preset second time period, it generates an energy-saving standby command to control the air conditioner to switch to low-power ventilation mode and outputs an away state flag;

[0158] The check-out blocking module is mainly used to turn off the cooling and heating functions of the guest room air conditioner host when it detects a power outage signal from the power supply slot and receives a confirmation signal from the front desk that the settlement is completed. It enters the periodic ventilation mode and generates an empty room energy-saving mark.

[0159] The heat and cold balance module compares the temperature setpoints of guest rooms on the same floor, corridor temperature and humidity signals, and room status tags in real time. It identifies idle target rooms whose temperature setpoints are lower than the average temperature on the same floor, reduces their air supply volume, generates surplus cooling resource tags, and transfers the surplus cooling capacity to high-temperature demand rooms on the same floor. It also generates electricity cost deduction values ​​corresponding to the idle target rooms.

[0160] The compensation chain generation module is mainly used to link the hotel settlement system to issue electricity bill deduction vouchers based on the electricity bill deduction value, and to perform air valve opening adjustment based on the surplus cooling resource mark, forming an automatic air valve allocation action;

[0161] The pre-start temperature control module is mainly used to receive the expected check-in time of the next guest, combine the outdoor weather type and the corridor temperature and humidity signals, dynamically adjust the advance period before the check-in time to activate the air conditioner, and output the pre-start control package to the target air conditioner host.

[0162] It should be noted that the formulas described above can translate physical quantities of different attributes into unitless standard values ​​or superimposable parameters of the same dimension through the principle of dimensional consistency and mathematical standardization (e.g., normalization, dimensionless parameter conversion, or unit system unification). This eliminates the interference of different dimensions on the operational logic, allowing the formulas to retain the distribution characteristics of the original data while maintaining mathematical rationality and adaptability to objective laws. The above are merely exemplary embodiments of the present invention and are not intended to limit the scope of the present invention.

[0163] The modules can be implemented in whole or in part through software, hardware, or a combination thereof, supporting hardware embedded in or independent of a processor in a computer device, and also supporting software stored in a memory in a computer device, so that the processor can call and execute operations corresponding to the modules.

[0164] It should be noted that the human body information (including but not limited to human device information and personal information, etc.) and data (including but not limited to data used for analysis, stored data and displayed data, etc.) involved in the present invention are all information and data authorized by the human body or fully authorized by all parties. The collection, use and processing of relevant data require relevant legal standards.

[0165] The above embodiments are only used to illustrate the technical solutions of the present invention, rather than to limit the same. Although the present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that they can still modify the technical solutions described in the aforementioned embodiments, or make equivalent replacements for some of the technical features therein. These modifications or replacements do not deviate the essence of the corresponding technical solutions from the spirit and scope of the technical solutions of the various embodiments of the present invention, and should all be included in the scope of protection of the present invention.

Claims

1. A hotel air conditioning intelligent control method, characterized in that: The following steps are involved: S1. Collect the switch signals of the guest room door, the human motion detection signals in the room, the power supply signals of the power trough, and the temperature and humidity signals of the floor corridor to generate the basic data set for occupancy judgment; S2. Based on the check-in judgment basic data set, when the power supply slot power signal is continuously valid and the door closing signal is triggered, human movement signals are detected during the preset first time period to generate a real check-in activation instruction or jump to the check-out blocking action; S3. In response to a real occupancy activation command, the air conditioner is started to operate at full power. If the door remains closed and no human motion signal is detected during the preset second time period, an energy-saving standby command is generated to control the air conditioner to switch to a low-power ventilation mode and an away state flag is output; S4. When a power failure signal from the power supply slot is detected and a confirmation signal from the front desk is received, the cooling and heating functions of the guest room air conditioner are turned off, and the room enters the periodic ventilation mode, generating an empty room energy-saving mark. S5. Compare the temperature setpoints of guest rooms on the same floor, corridor temperature and humidity signals, and room status tags in real time, identify unused target rooms whose temperature setpoints are lower than the average temperature on the same floor, reduce their air supply volume to generate surplus cooling resource tags, transfer the surplus cooling capacity to high-temperature demand rooms on the same floor, and simultaneously generate electricity cost credits corresponding to the unused target rooms; S6. Based on the electricity charge deduction value, the hotel settlement system is linked to issue an electricity charge deduction voucher, and the air valve opening is adjusted based on the surplus cooling resource mark, thereby forming an automatic air valve allocation action; S7. Receive the next guest's expected check-in time, combine the outdoor weather type and corridor temperature and humidity signals, dynamically adjust the lead time before the check-in time to activate the air conditioner, and output a pre-start control package to the target air conditioner host.

2. A hotel air conditioning intelligent control method according to claim 1, characterized in that: Generating a real check-in activation instruction includes the following steps: The basic data set for occupancy judgment filters the period when the power supply signal of the power slot is continuously at a high level; Synchronously filter out the time interval during which the door closing signal is a continuous closed loop voltage; The time period of continuous high level is overlapped and compared with the time interval of continuous closed state to obtain the time intersection interval; The human motion detection signal is scanned within the time intersection interval, and when the human motion signal is detected a preset number of times within the preset first half window within the time intersection interval, a real check-in activation instruction is generated.

3. A hotel air conditioning intelligent control method according to claim 1, characterized in that: Generating an energy-saving standby instruction to control the air conditioner to switch to a low-power ventilation mode includes the following steps: The real check-in activation command starts the room air conditioner at full power; Real-time monitoring of the switch signal of the guest room door and the changes in the human motion detection signal in the room; When the switch signal of the guest room door is continuously kept in a low-level closed state and no human movement signal appears within a preset second time period, an energy-saving standby instruction is generated.

4. A hotel air conditioning intelligent control method according to claim 1, characterized in that: Entering the periodic ventilation mode to generate an empty room energy-saving mark includes the following steps: Continuously monitor the signal changes of the basic data set for occupancy judgment, and detect the power-off signal of the power slot through the dry contact relay in the card-insertion power device; At the same time, a front desk settlement completion confirmation signal is received from the hotel front desk management system; Send a low-level electrical signal to the air-conditioning controller of the target guest room. This low-level electrical signal triggers the internal relay of the air-conditioning to disconnect the power supply of the compressor and heating element, stopping the cooling and heating functions; Control the air conditioning fan to start ventilation at the lowest speed at a fixed time and stop running after ventilation is completed.

5. A hotel air conditioning intelligent control method according to claim 1, characterized in that: Identifying unoccupied target rooms whose temperature setpoints are lower than the average temperature of the same floor includes the following steps: Calculate the arithmetic mean of the temperature setting values ​​of the guest rooms without the away state flag and the vacant room energy-saving flag to obtain the average temperature on the same floor; Scan all rooms with away-from-home status flags or vacant energy-saving flags, and identify rooms with temperature settings lower than the average temperature on the same floor as idle target rooms; The idle target room refers to a room that is identified as having an away state flag or an empty room energy-saving flag and a temperature setting value lower than the average temperature of the same floor.

6. A hotel air conditioning intelligent control method according to claim 5, characterized in that: Transferring excess cooling capacity to high-temperature demand rooms on the same floor and generating electricity fee deductions corresponding to the idle target rooms includes the following steps: The air supply volume transfer value is calculated proportionally based on the difference between the temperature set point of the high-temperature demand room and the average temperature of the same floor; Open the connecting air valve between the idle target room and the high temperature demand room; Reduce the air supply volume of unused target rooms to generate surplus cooling resource markers; The excess cooling capacity is transferred to the rooms with high temperature demand through the pre-buried air ducts in the building. At the same time, the electricity fee deduction value is calculated based on the reduction range and duration of the air supply volume; The electricity charge deduction value refers to the amount calculated by the system to be returned to the user, which is converted into cash compensation based on the actual reduction in air supply volume and its corresponding energy consumption.

7. A hotel air conditioning intelligent control method according to claim 1, characterized in that: The air valve opening adjustment is performed based on the surplus cooling resource flag, including the following steps: Based on the surplus cooling resource marker, locate the room with transferable cooling resources; Dynamically adjust the opening of the air supply control valve and the continuous ventilation valve according to the difference between the temperature set value of the high temperature demand room and the average temperature of the same floor; Form an automatic air valve distribution action sequence, continuously optimize the cooling capacity distribution, calculate the required air volume according to the real-time temperature setting value of the high-temperature demand room and the average temperature difference on the same floor, and dynamically adjust the rotation angle of the electric air valve to increase or decrease the opening.

8. A hotel air conditioning intelligent control method according to claim 1, characterized in that: Dynamically adjust the lead time to activate air conditioning, including the following steps: Mapping outdoor weather types to dynamic adjustment coefficients; Query the lead time benchmark model based on the temperature value in the floor corridor temperature and humidity signal to obtain the basic lead time duration; Multiply the basic lead time by the dynamic adjustment coefficient to get the final activation lead time; The dynamic adjustment coefficient and lead time benchmark model are set based on the building thermal inertia characteristics.

9. A hotel air conditioning intelligent control method according to claim 1, characterized in that: Jump to the check-out blocking action, including the following steps: When no human movement signal is detected within the preset first time period, the cooling and heating functions of the guest room air conditioner host are directly turned off, and the periodic ventilation mode is entered to generate an empty room energy-saving mark.

10. A hotel air conditioning intelligent control system, characterized in that: Includes the following modules: The signal acquisition module is mainly used to collect the switch signals of the guest room door, the human motion detection signals in the room, the power supply signals of the power trough, and the temperature and humidity signals of the floor corridor to generate the basic data set for occupancy judgment; The check-in determination module, based on the check-in determination basic data set, detects human movement signals during the preset first time period when the power supply slot power signal remains valid and the door closing signal is triggered, and generates a real check-in activation instruction or jumps to the check-out blocking action; The gradient temperature control module responds to the actual occupancy activation command to start the air conditioner at full power. If the door remains closed and no human movement signal is detected during the preset second time period, it generates an energy-saving standby command to control the air conditioner to switch to low-power ventilation mode and outputs an away state flag; The check-out blocking module is mainly used to turn off the cooling and heating functions of the guest room air conditioner host when it detects a power outage signal from the power supply slot and receives a confirmation signal from the front desk that the settlement is completed. It enters the periodic ventilation mode and generates an empty room energy-saving mark. The heat and cold balance module compares the temperature setpoints of guest rooms on the same floor, corridor temperature and humidity signals, and room status tags in real time. It identifies idle target rooms whose temperature setpoints are lower than the average temperature on the same floor, reduces their air supply volume, generates surplus cooling resource tags, and transfers the surplus cooling capacity to high-temperature demand rooms on the same floor. It also generates electricity cost deduction values ​​corresponding to the idle target rooms. The compensation chain generation module is mainly used to link the hotel settlement system to issue electricity bill deduction vouchers based on the electricity bill deduction value, and to perform air valve opening adjustment based on the surplus cooling resource mark, forming an automatic air valve allocation action; The pre-start temperature control module is mainly used to receive the expected check-in time of the next guest, combine the outdoor weather type and the corridor temperature and humidity signals, dynamically adjust the advance period before the check-in time to activate the air conditioner, and output the pre-start control package to the target air conditioner host.

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