CN107463154B

CN107463154B - Intelligent hotel energy-saving control method and system

Info

Publication number: CN107463154B
Application number: CN201710694745.6A
Authority: CN
Inventors: 刘欣; 汤峰
Original assignee: Samsung Electronics China R&D Center; Samsung Electronics Co Ltd
Current assignee: Samsung Electronics China R&D Center; Samsung Electronics Co Ltd
Priority date: 2017-08-15
Filing date: 2017-08-15
Publication date: 2020-07-03
Anticipated expiration: 2037-08-15
Also published as: CN107463154A

Abstract

The invention provides an intelligent hotel energy-saving control method and system, wherein the method is applied to an energy-saving control server and comprises the following steps: acquiring a plurality of pieces of historical check-in information of a client, and generating a comfort level model and a return time probability model corresponding to the client based on all the acquired historical check-in information; the check-in information includes: room check-in information of the client; the client presence information includes: room occupancy state, room entry and exit time, and energy saving device state information; when the room occupancy state of the client entering the room changes, the state of the energy-saving equipment of the client entering the room is adjusted by using the comfort degree model and the return time probability model corresponding to the client, so that the energy-saving control is realized on the premise of ensuring the comfort of the client.

Description

Intelligent hotel energy-saving control method and system

Technical Field

The invention relates to the technical field of intelligent hotels, in particular to an energy-saving control method and system for an intelligent hotel.

Background

An intelligent Hotel (Smart Hotel) is Hotel intellectualization. The intelligent hotel is an information network system which takes a new communication technology, intelligent computer information processing and broadband interactive multimedia network technology as a core, integrates functions of intelligent light management, air conditioner management, call management and information service management by depending on an intelligent hotel management system, better connects various software and hardware of the hotel by the internet of things technology, provides information, intelligent and personalized services for guests, improves the hotel management level, reduces the hotel operation cost and improves the satisfaction degree of the guests in the hotel.

Various intelligent energy-saving hardware devices, various wired and wireless sensors are installed in the existing intelligent hotel. The existing intelligent hotel management system mainly depends on various wired and wireless sensors in a room to sense environment information and customer behaviors, and the sensing information is used as the input of an equipment control module to achieve the purposes of improving the comfort level of a user and saving energy. However, this method does not consider that the comfort level and the energy saving rate of the client are directly or indirectly related to data of multiple dimensions, the input data dimension is relatively single, the processing of the data is too simple and direct, the value of a large amount of data is not effectively mined, the control mode of the equipment is relatively simple, and the balance between the comfort level and the energy saving of the client is poor.

Disclosure of Invention

In view of this, the present invention provides an intelligent hotel energy saving control method and system, which can improve the energy saving rate while ensuring the comfort of the customer.

In order to achieve the purpose, the invention provides the following technical scheme:

an intelligent hotel energy-saving control method is applied to an energy-saving control server and comprises the following steps:

acquiring a plurality of pieces of historical check-in information of a client, and generating a comfort level model and a return time probability model corresponding to the client based on all the acquired historical check-in information; the check-in information includes: room check-in information of the client; the client presence information includes: room occupancy state, room entry and exit time, and energy saving device state information;

when the room occupancy state of the client entering the room changes, the state of the energy-saving equipment of the client entering the room is adjusted by using the comfort model and the return time probability model corresponding to the client, so that energy-saving control is realized.

An intelligent hotel energy-saving control system comprises an energy-saving control server,

the energy-saving control server is used for acquiring a plurality of pieces of historical check-in information of the client, and generating a comfort model and a return time probability model corresponding to the client based on all the acquired historical check-in information; the check-in information includes: room check-in information of the client; the client presence information includes: room occupancy state, room entry and exit time, and energy saving device state information; and when the room occupancy state of the client entering the room changes, the state of the energy-saving equipment of the client entering the room is adjusted by using the comfort model and the return time probability model corresponding to the client, so that energy-saving control is realized.

According to the technical scheme, the comfort model and the return time probability model corresponding to the client are generated by utilizing the obtained plurality of pieces of client check-in information, so that when the occupancy state of the client check-in room changes, the comfort model and the return time probability model corresponding to the client are utilized to carry out energy-saving control on the energy-saving equipment in the client check-in side, the energy consumption is reduced to the greatest extent under the condition that the comfort of the client is ensured, and the purpose of saving energy is achieved.

Drawings

FIG. 1 is a schematic diagram of an intelligent hotel network system according to an embodiment of the present invention;

fig. 2 is a flowchart of an intelligent hotel energy-saving control method according to an embodiment of the present invention.

Detailed Description

In order to make the objects, technical solutions and advantages of the present invention more apparent, the technical solutions of the present invention are described in detail below with reference to the accompanying drawings according to embodiments.

According to the invention, aiming at each client, the historical check-in information of the client is collected, the comfort degree model and the return time probability model corresponding to the client are generated according to the historical check-in information, and the comfort degree model and the return time probability model corresponding to the client are utilized to carry out energy-saving control on the energy-saving equipment of the current check-in room of the client, so that the energy is saved to the maximum extent on the premise of ensuring the comfort of the client.

The following explains the implementation principle of the present invention:

first, data collection

In the embodiment of the invention, the check-in information of the client mainly comprises the following contents: customer information, customer check-in room information, external environment information, etc. Wherein,

the client information mainly comprises: gender, age, nationality, check-in time, check-in room, length of check-in time, personal preferences (e.g., preference for higher temperatures, preference for smoking), etc.

The client check-in room information includes: room occupancy state, room entry and exit time, energy saving device state information and the like. Wherein the room occupancy state comprises: check-in (check in), occupied (occupied), unoccupied (unoccupied), and check-out (check out); the room entry and exit time indicates the time when the customer enters or leaves the room; the energy-saving equipment is equipment configured in a room where a client stays, and energy consumption adjustment can be realized by regulating and controlling the equipment state.

The external environment information includes: weather information, etc. The weather information mainly comprises city ID, temperature, humidity, wind speed, weather description information and the like.

The acquisition of the above information is explained below with reference to fig. 1.

Referring to fig. 1, fig. 1 is a schematic diagram of an intelligent hotel network System according to an embodiment of the present invention, the intelligent hotel network System includes a Property Management Server (PMS) System, an energy saving control server, and gateways configured for each room in the intelligent hotel (gateways 1 to N in fig. 1, each gateway corresponding to one room in one intelligent hotel), in addition, the gateway of each room is connected to energy saving devices (one or more energy saving devices in one room may be provided, and one energy saving device in fig. 1 represents all the energy saving devices in the room), sensors (the sensors may include various sensors such as a door sensor and a motion sensor, and one sensor in fig. 1 represents all the sensors configured in one room) in the room through a wireless/wired network, and the sensors are mainly used for sensing the behavior of the client.

In fig. 1, the energy saving control server and the PMS system may be the same server or different servers. In addition, the intelligent hotel network system may include a variety of other network-enabled devices, which are not shown in fig. 1 because they are not germane to the implementation of the present invention.

In the intelligent hotel network system shown in fig. 1, the PMS system is mainly used for entering and reporting customer information and reporting occupancy state information of a customer living in a room.

And (3) reporting the client information:

in the existing implementation, when a client checks in, the client firstly needs to register in the hotel reception desk, and in the process of handling the registration and check in, the hotel reception desk staff enters client information into the PMS and allocates a check-in room number to the client.

The customer information entered by the PMS system is shown in table one:

watch 1

After the PMS inputs the customer information, the PMS can report the customer information to the energy-saving control server.

Reporting the occupancy state information of the client in the room:

after entering the customer information, the PMS system needs to set the occupancy state of the room where the customer lives, and also needs to set the occupancy state of the room where the customer lives when the customer handles the check-out.

In the embodiment of the present invention, the occupancy status of the room includes check-in (check in), occupied (occupied), unoccupied (unoccupied), and check-out (check out). Wherein,

check in indicates that the customer has checked in at the hotel front desk, but has not yet lodged in the allocated room;

occupied indicates that the customer has checked in at the hotel reception desk and also has lodged in the allocated room, and that the customer is currently located in the allocated room;

the unoccupied indicates that the customer has checked in at the hotel front desk and also lodged in the allocated room, and the customer is not currently in the allocated room;

check out indicates that the customer has transacted a check-out at the hotel reception desk.

After the PMS enters the customer information, the occupancy state of the room where the customer stays is set to check in at the moment because the customer does not live into the distributed room at the moment.

When reporting the recorded client information to the energy-saving control server, the PMS also reports the occupation state (check in at the moment) of the client in the room to the energy-saving control server.

After the client transacts the procedure of returning the house in the hotel foreground, the PMS system needs to set the occupancy state of the client in the house to check out.

After the PMS system sets the occupancy state of the room where the client is staying to check out, the PMS system needs to further report the occupancy state of the room to the energy-saving control server.

In the intelligent hotel network system shown in fig. 1, the gateway corresponding to each room is mainly used for reporting the occupancy state information of the room where the client enters, the room entrance and exit time of the room where the client enters, and the state information of each energy saving device in the room where the client enters.

Reporting the occupancy state information of the client in the room:

after the client registers in the hotel reception desk, the client can enter and exit the room allocated to the client at any time before the client leaves the room.

During the process that a client opens a room door to enter the room or leave the room, the door magnetic sensor of the room configuration can sense the state change of the room door and report the sensed state change information of the room door to the gateway of the room configuration. Here, the room door state change information includes: state change and state change time. Wherein the state change comprises: open to closed (i.e., the room door changes from an open state to a closed state), closed to open (i.e., the room door changes from a closed state to an open state); the state change time is the time when the door magnetic sensor senses the state change of the room door.

The motion sensor can also sense the movement information of the client in the process of opening the room door to enter or leave the room, and report the movement information of the client to the gateway configured in the room. Here, the client movement information includes a movement direction, a movement speed, a movement distance, and the like.

After the gateway configured for the client to live in the room receives the room door state change information reported by the door sensor and the client movement information reported by the action sensor, the client behavior information can be determined according to the received room door state change information and the client movement information. Here, the customer behavior information includes: enter the room and leave the room.

In one embodiment of the present invention, the specific method for determining the behavior information of the client by the gateway configured for the client to stay in the room according to the room door state change information received from the door magnetic sensor and the client movement information received from the motion sensor is as follows:

if the state of the room door of the room is changed from closed to open, determining that the client behavior information is to enter the room if the moving direction of the client is to move into the room and the moving distance indicates that the client has moved into the room, and determining that the client behavior information is to leave the room if the moving direction of the client is to move out of the room and the moving distance indicates that the client has moved out of the room;

if the state of the room door of the room changes to be opened to closed, the client behavior information is determined to be entering the room if the moving direction of the client is moving inwards the room and the moving distance indicates that the client has moved inwards the room, and the client behavior information is determined to be leaving the room if the moving direction of the client is moving outwards the room and the moving distance indicates that the client has moved outwards the room.

After determining the client behavior information according to the room door state change information received from the door sensor and the client movement information received from the motion sensor, the gateway configured for the client to live in the room may determine the occupancy state of the client to live in the room according to the client behavior information, specifically, when the client behavior information indicates that the client enters the room, the occupancy state of the client to live in the room is determined to be occupied, and when the client behavior information indicates that the client leaves the room, the occupancy state of the client to live in the room is determined to be unoccupied.

When a gateway configured by a client entering a room finds that the occupancy state of the room changes, the current occupancy state information of the room can be actively reported to the energy-saving control server.

Reporting the room entrance and exit time of the client in the room:

in the embodiment of the invention, the room entering and exiting time comprises the following steps: the time of entry and the time of exit.

After determining the client behavior information according to the room door state change information received from the door magnetic sensor and the client movement information received from the behavior sensor, the gateway configured for the client to stay in the room may further set the entry time of the room as the state change time in the room door state change information if it is determined that the client enters the room according to the client behavior information; if it is determined that the client leaves the room based on the client behavior information, the leaving time of the room may be further set as the state change time in the room door state change information at this time.

When the gateway configured by the client entering the room reports the occupancy state information of the room to the energy-saving control server, the gateway can also report the room entering and exiting time of the room to the energy-saving control server.

Reporting the state information of each energy-saving device in a room by a client:

each room of the intelligent hotel is usually configured with a plurality of energy saving devices, where an energy saving device is a device that can adjust energy consumption by changing device state information, such as a thermostat, a humidifier, a television, a refrigerator, and the like, and all of the energy saving devices can adjust energy consumption by changing device state, taking the thermostat as an example, the thermostat state information includes: thermostat set temperature, thermostat fan mode, refrigeration set temperature, heating set temperature. Reducing or increasing thermostat energy consumption can be achieved by changing a thermostat setting temperature.

In practical use, the change of the state information of the energy-saving device can affect the comfort experience of the customer, for example, the set temperature of the thermostat is too high or too low, which may make the customer feel uncomfortable, and at this time, the set temperature of the thermostat needs to be adjusted, so as to provide a more comfortable temperature environment for the customer. Therefore, the energy saving device status information change is an important factor affecting the comfort.

Therefore, in the invention, when the state information of any energy-saving device in a room of a client changes, the changed state information of the energy-saving device can be reported to the gateway configured in the room, and then reported to the energy-saving control server by the gateway configured in the room, so that the energy-saving control server uses the state information of the energy-saving device for generating the comfort model.

Obtaining external environment information:

the energy-saving control server can obtain the weather information of the intelligent hotel location from the application program module for providing the weather information. Here, the application module for providing weather information may be a local function module deployed in the energy saving control server, or may be a function module deployed on another server.

The above reports of the client information, the occupancy state information of the room where the client stays, the room access time, and the energy saving device state information are all actively reported when the information changes, for example: the PMS actively reports the recorded customer information when recording the customer information, and the PMS actively reports the occupancy state information of a room when setting the occupancy state of the room where the customer stays; when the gateway configured in each room finds that the occupancy state information of the room changes, the occupancy state information and the room access time after the change of the room are actively reported, and after the state of the energy-saving equipment in the room changes, the changed state information of the energy-saving equipment is actively reported.

For any room in the intelligent hotel, when the information actively reported by the PMS system (including the client information and the occupancy state information of the room where the client is staying) and the information actively reported by the gateway configured in the room (including the occupancy state information of the room, the room entry and exit time and the energy-saving equipment state information), because the possibility of reporting at the same time is low, only a part of information items of the client occupancy information are included, and the other information items do not exist (in the present invention, the nonexistent information items are referred to as empty and missing items), a complete client occupancy information is formed, and in order to obtain a complete client occupancy information, the information reported by the PMS system or the gateway configured in the room can be supplemented into a complete client occupancy information by using the latest obtained client occupancy information or the default value of each information item (in the present invention, the legal value range and the default value of each information item in the client occupancy information need to be preset) The check-in information, for example:

after the energy-saving control server receives the client information reported by the PMS and the occupancy state information of the client room, in order to complement the information into a piece of user room information, the default values of the room access time of the client room, the state information of the energy-saving equipment and the external environment information can be complemented into the information reported by the PMS because the client room information is not obtained yet, thereby forming a piece of complete client room information.

When the energy-saving control server receives the occupancy state information of the room, the room access time and the energy-saving equipment state information reported by the gateway of the client entering the room, the default values of the client information and the external environment information can be supplemented into the information reported by the gateway of the client entering the room, so that a complete client entering information is formed; or the client information in the client check-in information which is obtained last time and the external environment information can be supplemented into the information reported by the gateway of the client check-in room, so as to form a complete client check-in information.

In practical application, the energy-saving control server obtains complete client check-in information through a content supplementing method when the PMS and/or a gateway of a client check-in room actively reports information, and can also obtain the client check-in information through a method of obtaining periodically.

In fact, after the client checks in at the front desk of the hotel, when the energy-saving control server receives the client information reported by the PMS system, the energy-saving control server may start to periodically (for example, every 10 minutes) acquire the check-in information of the client, and store the acquired check-in information of the client as the historical check-in information of the client for the subsequent generation of the comfort model and the return time probability model.

The energy-saving control server can periodically acquire the check-in information of the client from the PMS, the gateway configured by the client check-in room and an application program module for providing weather information, and the specific method comprises the following steps: periodically sending a request to a PMS to acquire customer information from the PMS, sending a request to a network manager configured by a customer living room to acquire occupancy state information, room access time and energy-saving equipment state information of the room from a gateway configured by the customer living room, and acquiring weather information of a place where the intelligent hotel is located from an application program module for providing the weather information; and aggregating the client information, the occupancy state information of the room where the client stays, the room in-out time, the energy-saving equipment state information and the weather information of the intelligent hotel location, which are acquired at the same time, into a piece of client stay information.

It should be noted that: after a piece of client check-in information is obtained and before the client check-in information is stored as the historical check-in information of the client, in addition to filling up the vacant items in the piece of client check-in information, whether the value of each information item in the piece of client check-in information is in the legal value range or not needs to be judged, if the value is not in the legal value range (for example, the gender of the client can only be male or female, and if the value is other, the value is not in the legal value range), the client check-in information can be deleted, so that the subsequent generation of a comfort model and a return time probability model which are not suitable for the client due to the introduction of error data is avoided.

In practical implementation, if a client has checked in the intelligent hotel for multiple times, historical check-in information acquired and stored when the client checked in the intelligent hotel before can be used for generating a comfort level model and a return time probability model when the client checks in the intelligent hotel at this time.

The following is an example of stored historical check-in information corresponding to a customer:

A0101,2015/10/01 14:00,1,27,27,Auto,Auto,1,27,19,32,man,N1,8,2015/09/27 20:54,type B,n

A0101,2015/10/01 14:10,1,27,26,Auto,Auto,1,27,19,32,man,N1,8,2015/09/27 20:54,type B,n

A0101,2015/10/01 14:20,1,27,26,Auto,Auto,1,27,19,31,man,N1,8,2015/09/27 20:54,type B,n

A0101,2015/10/01 14:30,1,27,27,Auto,Auto,1,27,19,31,man,N1,8,2015/09/27 20:54,type B,n

A0101,2015/10/01 14:40,1,27,27,Auto,Auto,1,27,19,31,man,N1,8,2015/09/27 20:54,type B,n

A0101,2015/10/01 14:50,1,27,27,Auto,Auto,1,27,19,31,man,N1,8,2015/09/27 20:54,type B,n

A0101,2015/10/01 15:00,1,27,27,Auto,Auto,1,27,19,30,man,N1,8,2015/09/27 20:54,type B,n

A0101,2015/10/01 15:10,1,27,27,Auto,Auto,1,27,19,30,man,N1,8,2015/09/27 20:54,type B,n

A0101,2015/10/01 15:20,1,27,27,Auto,Auto,1,27,19,30,man,N1,8,2015/09/27 20:54,type B,n

A0101,2015/10/01 15:30,1,27,27,Auto,Auto,1,27,19,30,man,N1,8,2015/09/27 20:54,type B,n

A0101,2015/10/01 15:40,1,27,27,Auto,Auto,1,27,19,30,man,N1,8,2015/09/27 20:54,type B,n

A0101,2015/10/01 15:50,1,27,26,Auto,Auto,1,27,19,30,man,N1,8,2015/09/27 20:54,type B,n

A0101,2015/10/01 16:00,1,27,27,Auto,Auto,1,27,19,30,man,N1,8,2015/09/27 20:54,type B,n

A0101,2015/10/01 16:10,1,27,28,Auto,Auto,1,27,19,30,man,N1,8,2015/09/27 20:54,type B,n

A0101,2015/10/01 16:20,1,27,27,Auto,Auto,1,27,19,30,man,N1,8,2015/09/27 20:54,type B,n

A0101,2015/10/01 16:30,1,27,26,Auto,Auto,1,27,19,30,man,N1,8,2015/09/27 20:54,type B,n

A0101,2015/10/01 16:40,1,27,27,Auto,Auto,1,27,19,29,man,N1,8,2015/09/27 20:54,type B,n

A0101,2015/10/01 16:50,1,27,28,Auto,Auto,1,27,19,29,man,N1,8,2015/09/27 20:54,type B,n

A0101,2015/10/01 17:00,1,27,27,Auto,Auto,1,27,19,29,man,N1,8,2015/09/27 20:54,type B,n

A0101,2015/10/01 17:10,1,27,28,Auto,Auto,1,27,19,28,man,N1,8,2015/09/27 20:54,type B,n

A0101,2015/10/01 17:20,1,27,27,Auto,Auto,1,27,19,28,man,N1,8,2015/09/27 20:54,type B,n

A0101,2015/10/01 17:30,1,27,27,Auto,Auto,1,27,19,28,man,N1,8,2015/09/27 20:54,type B,n

A0101,2015/10/01 17:40,1,27,27,Auto,Auto,1,27,19,28,man,N1,8,2015/09/27 20:54,type B,n

A0101,2015/10/01 17:50,1,27,27,Auto,Auto,1,27,19,28,man,N1,8,2015/09/27 20:54,type B,n

A0101,2015/10/01 18:00,1,27,28,Auto,Auto,1,27,19,27,man,N1,8,2015/09/27 20:54,type B,n

A0101,2015/10/01 18:10,1,27,27,Auto,Auto,1,27,19,26,man,N1,8,2015/09/27 20:54,type B,n

the above example is only a storage format for explaining the historical check-in information of the client, and the meaning of each field is not important, and thus, will not be described in detail.

Second, model generation

The above has introduced a method and process in which the energy saving control server acquires the check-in information of a client and stores the information as the historical check-in information of the client in an active and passive manner.

After a plurality of pieces of historical check-in information of the client are obtained, a comfort model and a return time probability model corresponding to the client can be generated by using all the obtained historical check-in information.

In the embodiment of the invention, in order to generate a comfort model and a return time probability model corresponding to a client, historical check-in information of the client is divided into four types of instances (instances) according to acquisition time and occupancy state information of a room in which the client checks.

Under normal conditions, after a client transacts a check-in an intelligent hotel, the change of the occupancy state of a room where the client check-in follows the following rules:

after the client registers, the PMS sets the occupancy state of the room where the client enters into the room to be a check in state and reports the occupancy state to the energy-saving control server, so that the energy-saving control server determines that the occupancy state of the room where the client enters into the room is check in. And the occupancy state of the room remains check in until the client enters the room.

And then, the client enters the room, and the gateway of the room determines that the occupancy state of the room is occuped and reports the occupancy state to the energy-saving control server, so that the energy-saving control server determines that the occupancy state of the room where the client enters is occuped. And the occupancy state of the room remains in the occupied state until the client leaves the room.

And then, the client leaves the room, and the gateway of the room determines that the occupancy state of the room is unicocculated and reports the occupancy state to the energy-saving control server, so that the energy-saving control server determines that the occupancy state of the room where the client is living is unicocculated. And the occupancy state of the room is maintained in the unoccupied state until the customer enters the room again.

After that, the client will repeatedly enter and exit the room according to the actual need. When a client enters a room each time, the gateway of the room determines that the occupancy state of the room is occupied and reports the occupancy state to the energy-saving control server, so that the energy-saving control server determines that the occupancy state of the room where the client enters is occupied. And when the client leaves the room every time, the gateway of the room determines that the occupancy state of the room is uniccu pied and reports the occupancy state to the energy-saving control server, so that the energy-saving control server determines that the occupancy state of the room where the client enters is uniccu pied. Therefore, before the client leaves the room, the occupancy state of the room can be switched between the occuped state and the unoccupied state according to the specific situation of the client entering and exiting the room.

And finally, the client transacts the procedure of returning the house in the hotel foreground, and the PMS sets the occupancy state of the room where the client enters into the hotel as a check out state and reports the occupancy state to the energy-saving control server, so that the energy-saving control server determines that the occupancy state of the room where the client enters into the hotel is check out. And the occupancy state of the room remains the checkout state until a new customer registers in the room.

It can be seen that, in the process of one-time check-in of the client, the occupancy state of the room checked in by the client is only the check in state at the beginning, the occupancy state is the check out state at the end, and the occupancy state is switched between the cached state and the uncached state at other times.

Under the four room occupation states, the energy-saving control server can actively and passively acquire the check-in information of the client and store the check-in information as the historical check-in information of the client.

In the invention, all historical check-in information acquired by the energy-saving control server in the same room occupation state at the same time period is used as an example corresponding to the room occupation state. For example:

determining all client check-in information acquired by the energy-saving control server in a period of time when the room occupancy state is kept as check in as an example corresponding to the room occupancy state check in;

when the room occupancy state is changed from check in to occupied, all client check-in information acquired by the energy-saving control server in a period of time when the room occupancy state is kept as occupied is determined as an instance corresponding to the room occupancy state occupied;

when the room occupancy state is changed from occuped to unoccupied, all client check-in information acquired by the energy-saving control server within a period of time when the room occupancy state is occuped is determined as an instance corresponding to the room occupancy state unoccupied;

when the room occupancy state is changed to occupied again, the energy-saving control server determines that all the client presence information acquired within a period of time when the room occupancy state is occupied again is another instance corresponding to the room occupancy state occupied;

and so on.

It can be seen that, in the present invention, when the historical check-in information of the client is divided into four types of examples according to the acquisition time and the occupancy state information of the room in which the client is checked, all the historical check-in information of the client are actually sorted according to the acquisition time, and a plurality of pieces of historical check-in information which are adjacent and have the same room occupancy state are determined as an example corresponding to the room occupancy state.

In the invention, the comfort level model corresponding to the client comprises a first comfort level model and a second comfort level model, wherein the first comfort level model is generated by using an instance corresponding to the room occupancy state check in, and the second comfort level model is generated by using an instance corresponding to the room occupancy state accupied.

Wherein,

the generation method of the first comfort model comprises the following steps:

determining the comfort level corresponding to each instance of which the room occupancy state is check in;

all the instances with the room occupancy states of check in and the comfort level corresponding to each instance are used as input of a Gradient Boost Decision Tree (GBDT) algorithm, and a first comfort level model corresponding to the client is obtained after iterative training.

The generation method of the second comfort level model comprises the following steps:

determining the comfort level corresponding to each instance of which the room occupancy state is occupied;

and taking all the instances with the room occupation state of occupied and the comfort level corresponding to each instance as the input of the GBDT algorithm, and obtaining a second comfort level model corresponding to the client after iterative training.

When the energy saving device includes a thermostat, the energy saving function device state information includes thermostat state information; in this case, the comfort level corresponding to each instance in which the room occupancy state is check in refers to the thermostat setting temperature that is maintained for the longest time in the instance; the comfort level associated with each instance in which the room occupancy state is occupied also refers to the thermostat setting temperature that is maintained for the longest time in that instance.

In the present invention, the method for determining the holding time of the set temperature of each thermostat in one example may specifically be: all the historical check-in information in the example is sorted according to the acquisition time, the latest acquisition time (namely the acquisition time of the client check-in information ranked at the last after being sorted according to the acquisition time) minus the earliest acquisition time (namely the acquisition time of the client check-in information ranked at the first after being sorted according to the acquisition time) in a plurality of adjacent pieces of historical check-in information with the same thermostat setting temperature is calculated, and the calculated difference is used as the maintenance time of the thermostat setting temperature.

In the embodiment of the present invention, a return time probability model corresponding to a client is generated using an instance corresponding to a room occupancy state unicuspid, and the specific method is:

for each instance with the room occupation state of unicoccured, taking the difference value between the latest acquisition time and the earliest acquisition time of all historical occupancy information in the instance as the return time corresponding to the instance;

and taking all the instances with the room occupation state of unicopied and the return time corresponding to each instance as the input of a random forest algorithm, and obtaining a return time probability model corresponding to the client after training.

In the invention, for each instance with the room occupancy state of unicuspid, the difference value between the latest acquisition time and the earliest acquisition time of all historical occupancy information in the instance is used as the return time corresponding to the instance, and the essence is to calculate the time for keeping the room occupancy state of unicuspid, namely the time length from leaving the room to returning the room of the client. Other methods of calculation may be used, for example, using room entry and exit time calculations, which are not described in detail herein.

Thirdly, energy-saving control is carried out by utilizing the model

The generation of the customer-corresponding first comfort model, second comfort model, and return time probability model has been described above. The principle of performing energy-saving control on the energy-saving device in the room where the client stays by using the first comfort level model, the second comfort level model and the return time probability model corresponding to the client will be described below.

Energy-saving control when the room occupancy state is check in:

when the room occupancy state is check in, energy-saving control over energy-saving equipment in the room is divided into two situations:

in the first case: and a first comfort model corresponding to the client is not generated, and energy-saving control is performed by using default configuration.

When a client check in an intelligent hotel for the first time, because the historical check-in information corresponding to the client is not stored before, when the client checks in the intelligent hotel, a first comfort model cannot be generated according to the historical check-in information corresponding to the client, and therefore energy-saving control on energy-saving equipment in a room where the client checks in cannot be performed by using the first comfort model.

In this case, energy-saving control is performed on the energy-saving equipment in the room where the customer stays by adopting a default configuration, and the default configuration needs to ensure the comfort of the customer and maximize energy conservation as a criterion.

In the embodiment of the present invention, a sample of default configuration of a thermostat when a room occupancy state is check in is as follows:

2016-03-02 to 2016-06-01Heat mode setback temperature at 24 ℃;

2016-06-02 to 2016-09-01Cool mode setback temperature at 22 ℃;

……。

as can be seen from the above configuration example, when the occupancy state of the customer-owned room is check in, the heating setting temperature of the thermostat is set to 24 degrees celsius by default between month 3 and month 6 of 2016. Between months 6 and 9 in 2016, the thermostat's cooling setting is set to 22 degrees celsius by default.

In the second case: and generating a first comfort degree model, and performing energy-saving control on the energy-saving equipment by using the first comfort degree model.

When a client check in the intelligent hotel for many times, because a plurality of pieces of historical check-in information corresponding to the client are stored in the previous check-in process, when the client checks in at this time, a first comfort level model corresponding to the client can be directly generated according to the stored historical check-in information corresponding to the client, so that when the occupancy state of the client check-in room is check in, the first comfort level model corresponding to the client is utilized to carry out energy-saving control on energy-saving equipment of the client in the room.

Taking the energy-saving control of the thermostat as an example, the comfort value corresponding to the example in which the room occupancy state is check in actually refers to the thermostat temperature setting value, and then the energy-saving control process is as follows:

when the energy-saving control server determines that the occupancy state of a room where a client is staying is check in, the energy-saving control server obtains a plurality of pieces of current stay information corresponding to the client (in order to distinguish from historical stay information, the stay information corresponding to the client, which is obtained when the occupancy state of the room where the client is staying is determined by the energy-saving control server as check in and the thermostat needs to be subjected to energy-saving control by using the generated first comfort level model, is called current stay information), the plurality of pieces of current stay information are used as an example of which the occupancy state is check in, the example is used as the input of the first comfort level model corresponding to the client, a comfort level value corresponding to the example can be obtained, and the temperature of the thermostat in the room where the client stays is set and adjusted to the comfort level value, so that the energy-saving control of the thermostat is realized.

Energy-saving control when the room occupancy state is occupied:

when the room occupancy state is occupied, energy-saving control over energy-saving equipment in the room where the client is living is also divided into two cases:

in the first case: and a second comfort model corresponding to the client is not generated, and energy-saving control is performed by using default configuration.

When a client check in an intelligent hotel for the first time, within an initial period of time after check-in is handled, since historical check-in information with a room occupancy state of occupied is not stored yet or the stored historical check-in information with the room occupancy state of occupied is less, a second comfort model corresponding to the client cannot be generated according to the historical check-in information corresponding to the client, and therefore energy-saving control on energy-saving equipment in the room checked by the client cannot be performed by using the second comfort model corresponding to the client.

In this case, energy-saving control is performed on the energy-saving equipment in the room where the customer stays by adopting default configuration. The content of the default configuration may be set according to actual requirements, for example, the default configuration when the room occupancy state is check in may be adopted, and will not be described in detail here.

In the second case: and generating a second comfort level model corresponding to the client, and performing energy-saving control on the energy-saving equipment by using the second comfort level model corresponding to the client.

When a client first enters the intelligent hotel and has already been in the intelligent hotel for a long time, or the client has already entered the intelligent hotel for many times before, because a plurality of pieces of historical check-in information corresponding to the client are stored at this time, a second comfort level model corresponding to the client can be directly generated according to the stored historical check-in information corresponding to the client, so that when the occupancy state of the client in the room is occupied, the second comfort level model corresponding to the client is utilized to perform energy-saving control on the energy-saving equipment in the room in which the client enters the room.

Taking the energy-saving control of the thermostat as an example, the comfort value corresponding to the example in which the room occupancy state is occupied actually refers to the thermostat temperature setting value, and then the energy-saving control process is as follows:

after the energy-saving control server determines that the occupancy state of the room where the client lives in is occured, the energy-saving control server obtains a plurality of pieces of current occupancy information corresponding to the client (in order to distinguish from historical occupancy information, the occupancy state of the room where the client lives in is determined by the energy-saving control server and the occupancy information corresponding to the client obtained when the thermostat needs to be subjected to energy-saving control by using the generated first comfort level model is called as current occupancy information), the plurality of pieces of current occupancy information are used as an example of the room occupancy state being occured, the example is used as input of a second comfort level model corresponding to the client, a comfort level value corresponding to the example can be obtained, and the temperature setting of the thermostat of the room where the client lives in is adjusted to the comfort level value, so that the energy-saving control of the thermostat is realized.

Energy-saving control when the room occupancy state is unicoccured:

when the room occupancy state is unicocculated, energy-saving control over energy-saving equipment in the room is also divided into two cases:

in the first case: and a return time probability model corresponding to the client is not generated, and energy-saving control is performed by using default configuration.

When a client check in an intelligent hotel for the first time, in an initial period of time after the check-in is handled, because no historical check-in information with a room occupancy state of unicubied exists or the stored historical check-in information with the room occupancy state of unicubied is less, a return time probability model corresponding to the client cannot be generated according to the historical check-in information corresponding to the client, and therefore the return time probability model cannot be used for carrying out energy-saving control on energy-saving equipment in the room checked by the client.

In this case, energy-saving control is performed on the energy-saving equipment in the room where the customer stays by adopting default configuration. The content of the default configuration may be set according to actual requirements.

In the embodiment of the present invention, a sample of default configuration of a thermostat when a room occupancy state is unicoccured is as follows:

2016-03-02 to 2016-06-01Heat mode setback temperature at 26 ℃, return time: 1 hour;

2016-06-02 to 2016-09-01Cool mode setback temperature at 30 ℃, return time: 1 hour;

……。

as can be seen from the above configuration example, when the occupancy state of the room where the customer stays is unicoccured, the heating setting temperature of the thermostat is set to 26 degrees celsius by default between 3 months and 6 months of 2016, and the return time is 1 hour (return after leaving the room for 1 hour). Between months 6 and 9 in 2016, the thermostat's cooling setting is default to 30 degrees celsius and the return time is 1 hour.

With the above-described default configuration, the thermostat-set temperature of the thermostat can be maintained at the default-configuration temperature value within one hour after the user leaves, and since the temperature setting in the default configuration is less different from the outdoor temperature within the corresponding period, the power consumption for maintaining the thermostat-set temperature at this temperature can be made relatively small.

In the second case: and generating a return time probability model corresponding to the client, and performing energy-saving control on the energy-saving equipment by using the return time probability model corresponding to the client.

When a client first enters the intelligent hotel and has already been in the intelligent hotel for a long time, or the client has already checked in the intelligent hotel for many times, because a plurality of pieces of historical check-in information corresponding to the client are stored at the moment, a return time probability model corresponding to the client can be directly generated according to the stored historical check-in information corresponding to the client, so that when the occupancy state of the client in the room is unicopiced, the return time probability model corresponding to the client is utilized to carry out energy-saving control on energy-saving equipment in the room in which the client checks in.

Taking energy saving control of a thermostat as an example, an energy saving state of the thermostat needs to be preset (energy saving state information of the thermostat is a value of the thermostat state information, and energy consumption can be reduced when the thermostat state is set to the energy saving state), and an energy saving control process when a room occupancy state is uniccu pied is as follows:

when the room occupancy state of the client in the room is changed into unicculated, acquiring a plurality of pieces of current occupancy information corresponding to the client, taking the plurality of pieces of current occupancy information as an example of which the room occupancy state is unicculated, determining the return time of the client according to the example and a return time probability model corresponding to the client, and adjusting the state of a thermostat of the client in the room to be in a preset energy-saving state before the client returns.

In the embodiment of the present invention, in order to determine the return time of the client, a return time probability threshold (threshold) and a return time interval sequence need to be preset, a value interval of the return time probability threshold is (0, 1), and an example of the return time interval sequence is as follows: 0.5 hour, 1 hour, 1.5 hours, 2 hours.

And determining the return time of the client according to the example and the return time probability model corresponding to the client, actually calculating the confidence coefficient/probability of each return time interval in the preset return time interval sequence, and selecting one return time interval with the confidence coefficient higher than and closest to the return time probability threshold as the return time of the client.

The method of determining the return time of a client is explained by way of an example: the probability threshold of the return time is assumed to be 0.8, and the probability value returned within 0.5 hour is determined to be 0.5, the probability value returned within 1 hour is determined to be 0.85, the probability value returned within 1.5 hour is determined to be 0.95, and the probability value returned within 2 hours is determined to be 0.99 according to the return time probability model corresponding to the client. It can be determined that the probability 0.85 of returning within 1 hour is greater than 0.8 and closest to 0.8, and thus, the return time of the customer is determined to be 1 hour, and the state of the thermostat that the customer stays in the room is maintained as the preset energy saving state before the customer returns.

Energy-saving control when the room occupancy state is unicoccured:

when the client leaves the room, the room occupancy state of the client room is changed into check out, and because the client does not need to be served at the moment, in order to save energy, the thermostat in the client room can be directly closed to stop working, so that energy can be saved to the maximum extent.

The implementation principle of the invention is explained in detail above, and based on the above principle explanation, the invention provides an intelligent hotel energy-saving control method, which is explained in detail below with reference to fig. 2:

referring to fig. 2, fig. 2 is a flowchart of an energy-saving control method for an intelligent hotel according to an embodiment of the present invention, where the method is applied to an energy-saving control server, and as shown in fig. 2, the method mainly includes the following steps:

step 201, acquiring a plurality of pieces of historical check-in information of a client, and generating a comfort level model and a return time probability model corresponding to the client based on all the acquired historical check-in information;

wherein the check-in information comprises: room check-in information of the client; the client presence information includes: room occupancy state, room entry and exit time, and energy saving device state information;

step 202, when the occupancy state of the room where the client enters the room changes, performing state adjustment on the energy-saving equipment where the client enters the room by using the comfort model and the return time probability model corresponding to the client to realize energy-saving control.

In the process shown in figure 2 of the drawings,

each room of the intelligent hotel is provided with a corresponding gateway;

the energy-saving control server is connected with a gateway configured in each room in the intelligent hotel through a network, and is also connected with a property management server PMS through the network;

the energy-saving control server acquires the room occupancy state of the room from the PMS and the gateway configured for each room, and acquires the room entry and exit time of the room and the energy-saving equipment state information of the room from the gateway configured for the room.

In the process shown in figure 2 of the drawings,

the room occupancy state includes: check in, occupied, unoccupied, check out;

when a client registers to live, the PMS sets the room occupation state of the room where the client live to be as checkin and reports the checkin to the energy-saving control server; when a client leaves a room, setting the room occupation state of the client entering the room as check out, and reporting the check out to the energy-saving control server;

and when determining that the client leaves the room, the gateway configured in each room sets the occupancy state of the room as unicipied and reports the occupancy state to the energy-saving control server.

In the process shown in figure 2 of the drawings,

each room of the intelligent hotel is provided with a sensor for sensing the behavior of a customer, and the sensor for sensing the behavior of the customer is connected with a gateway configured in the room through a network;

the gateway configured in each room of the intelligent hotel acquires the customer behavior information from the sensor for sensing the customer behavior, and determines whether the customer enters the room or leaves the room according to the acquired customer behavior information.

In the process shown in figure 2 of the drawings,

the sensor for sensing the customer behavior comprises a door sensor and a motion sensor;

the method for acquiring the customer behavior information from the sensor for perceiving the customer behavior by the gateway configured in each room of the intelligent hotel comprises the following steps:

through network connection with the door sensor configured in the room, room door state change information reported by the door sensor when sensing the room door state change of the room is received;

receiving client mobile information reported by the action sensor when the action sensor senses that the client mobile information is the reported client mobile information through network connection with the action sensor configured in the room;

the customer behavior information is determined based on the room door state change received from the door magnet sensor and the customer movement information received from the behavior sensor.

In the process shown in figure 2 of the drawings,

the room door state change information includes: a change in state; the state change includes: close to open, open to close;

the client mobility information includes: moving direction and moving distance;

the customer behavior information includes: entering a room and leaving the room;

the method for determining the client behavior information by the gateway configured in each room according to the room door state change information received from the door magnetic sensor and the client movement information received from the motion sensor comprises the following steps:

In the process shown in figure 2 of the drawings,

the room door state change information further includes: a state change time;

the room entry and exit time includes: an entry time and an exit time;

after the gateway configured in each room determines the client behavior information according to the received room door state change information and the client movement information, the method further comprises the following steps: setting an entry time of the room as a state change time in the room door state change information if the customer behavior information indicates that the customer enters the room; if the customer behavior information indicates that the customer leaves the room, the leaving time of the room is set to the state change time in the room door state change information.

In the process shown in figure 2 of the drawings,

at least one energy-saving device is configured in each room in the intelligent hotel, and each energy-saving device is in network connection with a gateway configured in the room;

and the gateway configured in each room receives the state information of the changed energy-saving equipment reported by the energy-saving equipment when the energy-saving equipment senses the state information change of the energy-saving equipment through network connection with the energy-saving equipment configured in the room.

In the process shown in figure 2 of the drawings,

the check-in information of the client further comprises: customer information; the customer information includes: name, gender, age, nationality, check-in time, check-in room number, check-in duration, personal preferences;

the energy-saving control controller acquires client information from a PMS (permanent magnet system); and the PMS inputs customer information when the customer registers and stays in and reports the customer information to the energy-saving control server.

In the process shown in figure 2 of the drawings,

the check-in information of the client further comprises: external environment information, the external environment information including: weather information, wherein the weather information comprises city ID, temperature, humidity, wind speed and weather description information;

and the energy-saving control controller obtains the weather information of the intelligent hotel from the application program module for providing the weather information.

In the process shown in figure 2 of the drawings,

the comfort level model corresponding to the client comprises a first comfort level model and a second comfort level model;

generating a comfort model corresponding to the client based on all the acquired historical living-in information includes:

sequencing all the acquired historical check-in information according to acquisition time, and determining a plurality of pieces of historical check-in information which are adjacent and have the same room occupancy state as an example corresponding to the room occupancy state;

generating a first comfort model corresponding to the client for all the instances of check in based on the room occupation state;

and generating a second comfort model corresponding to the client for all the instances of the occupied based on the room occupancy state.

In the process shown in figure 2 of the drawings,

the method for generating the first comfort model corresponding to the client for all the instances of check in based on the room occupancy state comprises the following steps:

for each instance of which the room occupancy state is check in, determining a comfort value corresponding to the instance;

taking all the instances with the room occupancy states of check in and the comfort value corresponding to each instance as the input of a gradient lifting decision tree GBDT, and obtaining a first comfort model corresponding to the client after iterative training;

the method for generating the second comfort model corresponding to the client based on all the instances with the room occupied state as the occupied comprises the following steps:

for each instance of which the room occupancy state is occupied, determining a comfort value corresponding to the instance;

and taking all the instances with the room occupation state of occupied and the comfort value corresponding to each instance as the input of the GBDT, and obtaining a second comfort model corresponding to the client after iterative training.

In the process shown in figure 2 of the drawings,

the energy saving device comprises a thermostat; the energy saving device state information comprises thermostat state information; the thermostat state information comprises a thermostat setting temperature, a thermostat fan mode, a refrigeration setting temperature and a heating setting temperature;

the method for determining the comfort value corresponding to the example comprises the following steps: the thermostat setting temperature that was maintained for the longest time in this example is determined to be the comfort value for this example.

In the process shown in figure 2 of the drawings,

the difference between the latest acquisition time and the earliest acquisition time of all the historical check-in information having the same thermostat setting temperature in the same example is determined as the maintenance time of the thermostat setting temperature.

In the process shown in figure 2 of the drawings,

generating a return time probability model corresponding to the client based on all the acquired historical check-in information comprises the following steps:

and generating a return time probability model corresponding to the client based on all the instances with the room occupation states of the unicoccuped.

In the process shown in figure 2 of the drawings,

the method for generating the return time probability model corresponding to the client based on all the instances with the room occupation states of unicoccuped comprises the following steps:

In the process shown in figure 2 of the drawings,

when the room occupancy state of the client entering the room changes, the adjusting the state of the energy-saving equipment of the client entering the room by using the comfort model and the return time probability model corresponding to the client comprises the following steps:

when the room occupancy state of the room where the client stays is changed into check in, acquiring a plurality of pieces of current stay information corresponding to the client, taking the plurality of pieces of current stay information as an example, taking the example as the input of a first comfort level model corresponding to the client, acquiring a comfort level value corresponding to the example, and adjusting the temperature setting of a thermostat of the client in the room to the comfort level value;

when the room occupancy state of the room where the client stays is changed into occupied, acquiring a plurality of pieces of current stay information corresponding to the client, taking the plurality of pieces of current stay information as an example, taking the example as the input of a second comfort level model corresponding to the client, acquiring a comfort level value corresponding to the example, and adjusting the temperature setting of a thermostat of the client in the room to the comfort level value;

when the room occupancy state of the client living room is changed into unicocculated, acquiring a plurality of pieces of current living information corresponding to the client, taking the plurality of pieces of current living information as an example, determining the return time of the client according to the example and a return time probability model corresponding to the client, and adjusting the state of a thermostat in the client living room to be a preset energy-saving state before the client returns;

when the room occupancy status of the client check-in room changes to check out, the thermostat in the client check-in room is turned off.

In the process shown in figure 2 of the drawings,

presetting a return time probability threshold and a return time interval sequence;

the method for determining the return time of the client according to the example and the return time probability model corresponding to the client comprises the following steps:

inputting each return time interval in the example and the preset return time interval sequence into a return time probability model corresponding to the client to obtain a confidence value corresponding to the return time interval;

and determining the return time interval with the confidence value higher than and closest to the preset return time probability threshold as the return time of the client.

In the process shown in figure 2 of the drawings,

the method for acquiring a plurality of pieces of historical check-in information of the client comprises the following steps: periodically obtaining the current check-in information of the client from the PMS, the gateway of the client check-in room and the local, receiving the current check-in information reported when the current check-in information of the client changes determined by the PMS, the gateway of the client check-in room and/or the local module, and storing the obtained current check-in information as the historical check-in information of the client.

In the process shown in figure 2 of the drawings,

storing the acquired current check-in information as historical check-in information, further comprising:

if any item value in the current check-in information of the client exceeds the value range of the item, deleting the current check-in information of the client;

if the current check-in information of the client has the vacancy item, filling the vacancy item with the value or default value of the latest acquired current check-in information of the client, and storing the current check-in information filled with the vacancy item as the historical check-in information of the client;

if the two situations are not met, the current check-in information of the client is stored as the historical check-in information of the client.

The invention also provides an intelligent hotel energy-saving control system, which is described below with reference to the above fig. 1, and as shown in fig. 1, the system includes an energy-saving control server;

In the system shown in figure 1 of the drawings,

each room of the intelligent hotel is provided with a corresponding gateway;

the system also comprises a property management server PMS system and a gateway configured for each room of the intelligent hotel;

the energy-saving control server obtains the room occupancy state of the room from the PMS and the gateway configured for each room, and obtains the room entry and exit time of the room and the energy-saving equipment state information of the room from the gateway configured for the room.

In the system shown in figure 1 of the drawings,

the room occupancy state includes: check in, occupied, unoccupied, check out;

In the system shown in figure 1 of the drawings,

each room of the intelligent hotel is provided with a sensor for sensing the behavior of a customer;

the system also comprises a sensor configured for each room of the intelligent hotel for sensing customer behavior;

the sensor for sensing the customer behavior of each room configuration is connected with the gateway of the room configuration through a network;

In the system shown in figure 1 of the drawings,

the client mobility information includes: moving direction and moving distance;

when the gateway configured for each room determines the client behavior information according to the room door state change information received from the door magnetic sensor and the client movement information received from the behavior sensor, the gateway is used for:

In the system shown in figure 1 of the drawings,

the room door state change information further includes: a state change time;

the room entry and exit time includes: an entry time and an exit time;

after determining the client behavior information according to the received room door state change information and the client movement information, the gateway configured in each room is further configured to: setting an entry time of the room as a state change time in the room door state change information if the customer behavior information indicates that the customer enters the room; if the customer behavior information indicates that the customer leaves the room, the leaving time of the room is set to the state change time in the room door state change information.

In the system shown in figure 1 of the drawings,

at least one energy-saving device is configured in each room in the intelligent hotel;

the system also comprises energy-saving equipment arranged in each room in the intelligent hotel;

each energy-saving device configured in each room in the intelligent hotel establishes network connection with a gateway configured in the room;

In the system shown in figure 1 of the drawings,

the PMS inputs customer information when a customer registers and stays in and reports the customer information to the energy-saving control server;

and the energy-saving control controller receives the customer information which is input and reported by the PMS.

In the system shown in figure 1 of the drawings,

the energy-saving control server generates a comfort model corresponding to the client based on all the acquired historical check-in information, and the comfort model comprises the following steps:

In the system shown in figure 1 of the drawings,

when the energy-saving control server generates the first comfort level model corresponding to the client for all the instances of check in based on the room occupancy state, the energy-saving control server is used for:

when the energy-saving control server generates a second comfort model corresponding to the client for all the instances of the occupied based on the room occupancy state, the energy-saving control server is configured to:

In the system shown in figure 1 of the drawings,

when the energy-saving control server determines the comfort value corresponding to the instance, the energy-saving control server is configured to: the thermostat setting temperature that was maintained for the longest time in this example is determined to be the comfort value for this example.

In the system shown in figure 1 of the drawings,

and the energy-saving control server determines the difference value between the latest acquisition time and the earliest acquisition time of all historical check-in information with the same thermostat setting temperature in the same example as the maintenance time of the thermostat setting temperature.

In the system shown in figure 1 of the drawings,

the energy-saving control server generates a return time probability model corresponding to the client based on all the acquired historical check-in information, and the return time probability model comprises the following steps:

In the system shown in figure 1 of the drawings,

when the energy-saving control server generates the return time probability model corresponding to the client based on all the instances of which the room occupation states are unicuspid, the energy-saving control server is used for:

In the system shown in figure 1 of the drawings,

when the room occupancy state of the client living room changes, the energy-saving control server adjusts the state of the energy-saving equipment of the client living room by using the comfort model and the return time probability model corresponding to the client, and comprises the following steps:

In the system shown in figure 1 of the drawings,

when the energy-saving control server determines the return time of the client according to the instance and the return time probability model corresponding to the client, the energy-saving control server is used for:

In the system shown in figure 1 of the drawings,

when the energy-saving control server acquires a plurality of pieces of historical check-in information of the client, the energy-saving control server is used for: periodically obtaining the current check-in information of the client from the PMS, the gateway of the client check-in room and the local, receiving the current check-in information reported when the current check-in information of the client changes determined by the PMS, the gateway of the client check-in room and/or the local module, and storing the obtained current check-in information as the historical check-in information of the client.

In the system shown in figure 1 of the drawings,

the energy-saving control server stores the acquired current check-in information as historical check-in information, and is further used for:

From the above contents, in the invention, by acquiring mass customer information, customer living room information and external environment information, a corresponding comfort level model and a return time probability model are generated for a customer, thereby providing accurate and personalized service for predicting comfort level and customer return time. Meanwhile, when a comfort level model and a return time probability model corresponding to a client are generated, the GBDT and the random forest algorithm model are adopted, so that the generated model has high prediction precision, is not easy to over-fit, is suitable for high-dimensional mass data, is not sensitive to noise data, and has good noise tolerance. Moreover, based on massive data and an accurate prediction model, the invention sets a high-efficiency energy saving strategy which takes comfort level and energy saving into consideration, thereby not only ensuring the comfort level of customers, but also saving energy to the maximum extent, improving the customer satisfaction degree for hotels and saving cost.

The above description is only for the purpose of illustrating the preferred embodiments of the present invention and is not to be construed as limiting the invention, and any modifications, equivalents, improvements and the like made within the spirit and principle of the present invention should be included in the scope of the present invention.

Claims

1. An energy-saving control method of an intelligent hotel is applied to an energy-saving control server, and is characterized in that each room of the intelligent hotel is provided with a corresponding gateway which establishes network connection with the energy-saving control server, and the energy-saving control server also establishes network connection with a property management server PMS system; the method comprises the following steps:

acquiring a plurality of pieces of historical check-in information of a client, and generating a comfort level model and a return time probability model corresponding to the client based on all the acquired historical check-in information; the check-in information includes: room check-in information of the client; the client presence information includes: room occupancy state, room entry and exit time, and energy saving device state information; the room occupancy state includes: check in, occupied, unoccupied, check out;

when the room occupancy state of the client entering the room changes, the state of the energy-saving equipment of the client entering the room is adjusted by using the comfort model and the return time probability model corresponding to the client, so as to realize energy-saving control;

wherein,

the energy-saving control server acquires the room occupancy state of the room from the PMS and the gateway configured for each room, and acquires the room entry and exit time of the room and the energy-saving equipment state information of the room from the gateway configured for the room;

when a client registers to live, the PMS sets the room occupation state of the room where the client live to check in and reports the room occupation state to the energy-saving control server; when a client leaves a room, setting the room occupation state of the client entering the room as checkout, and reporting the checkout to an energy-saving control server;

2. The method of claim 1,

3. The method of claim 1,

4. The method of claim 1,

5. The method of claim 1,

6. The method of claim 3,

7. The method of claim 6,

8. The method of claim 7,

9. The method of claim 8,

10. The method of claim 7,

11. The method of claim 10,

12. The method of claim 10,

13. The method of claim 12,

14. An intelligent hotel energy-saving control system is characterized by comprising an energy-saving control server, a property management server PMS system which establishes network connection with the energy-saving control server, and a gateway configured for each room of an intelligent hotel;

the energy-saving control server is used for acquiring a plurality of pieces of historical check-in information of the client, and generating a comfort model and a return time probability model corresponding to the client based on all the acquired historical check-in information; the check-in information includes: room check-in information of the client; the client presence information includes: room occupancy state, room entry and exit time, and energy saving device state information; the room occupancy state includes: check in, occupied, unoccupied, check out; when the room occupancy state of the client entering the room changes, the state of the energy-saving equipment of the client entering the room is adjusted by using the comfort model and the return time probability model corresponding to the client, so that energy-saving control is realized;

wherein,

15. The system of claim 14,

16. The system of claim 14,

17. The system of claim 14,

18. The system of claim 14,

19. The system of claim 16,

20. The system of claim 19,

21. The system of claim 20,

22. The system of claim 21,

23. The system of claim 20,

24. The system of claim 23,

25. The system of claim 23,

26. The system of claim 25,