Amusement equipment light control system and method

Abstract

The invention provides an amusement equipment light control system and method, and relates to the technical field of smart home, the amusement equipment light control system comprises a cloud server, an internet of things module of amusement equipment and a user terminal, and the internet of things module comprises an intelligent lamp and gateway equipment which are connected in a paired manner. The gateway device and the user terminal are both in communication connection with the cloud server. Through combination of a cloud technology and hardware of the Internet of Things, the light control system of the amusement equipment can realize remote and localized control of intelligent lamps, can also realize intelligent linkage with sense organs of players, provides intelligent light adjustment experience matched with use habits of users, and realizes personalized light adjustment; a user can adjust the light setting of the amusement equipment anytime and anywhere according to actual requirements, and the convenience and flexibility of use of the amusement equipment are improved. Therefore, efficient, flexible and intelligent light control is realized, and the player experience of the amusement equipment is improved.

Description

Technical Field

[0001] The present invention relates to the field of smart home technology, and in particular to a lighting control system and method for amusement equipment. Background Art

[0002] With the development of Internet of Things (IoT) technology, its applications in smart homes, smart buildings and other fields are becoming more and more extensive. Lighting control is one of the important application scenarios. Traditional amusement equipment lighting control systems usually rely on local hardware devices and preset programs, lacking flexibility and intelligence, resulting in poor player experience. Summary of the invention

[0003] The object of the present invention is to provide a lighting control system and method for amusement equipment, so as to realize efficient, flexible and intelligent lighting control and improve the player experience of the amusement equipment.

[0004] In a first aspect, the present invention provides an amusement equipment lighting control system, including a cloud server, an Internet of Things module of the amusement equipment, and a user terminal, wherein the Internet of Things module includes a paired smart lamp and a gateway device, and the gateway device and the user terminal are both communicatively connected to the cloud server;

[0005] The user terminal is used to send a lighting control command to the cloud server; the cloud server is used to receive the lighting control command and send a corresponding first lighting adjustment strategy to the gateway device; the smart lamp is used to obtain the first lighting adjustment strategy forwarded by the gateway device, and adjust the lighting of the amusement equipment based on the first lighting adjustment strategy;

[0006] The gateway device is also used to upload the real-time environmental data of the amusement equipment to the cloud server; the cloud server is also used to receive the real-time environmental data, generate a second lighting adjustment strategy that matches the user's usage habits based on the real-time environmental data and the trained lighting adjustment model, and send the second lighting adjustment strategy to the gateway device; wherein the lighting adjustment model is trained based on historical environmental data and historical user usage data, and the historical user usage data includes offline adjustment data for smart lamps uploaded by the gateway device and remote adjustment data corresponding to historical lighting control commands sent by the user terminal; the smart lamps are also used to obtain the second lighting adjustment strategy forwarded by the gateway device, and perform lighting adjustment on the amusement equipment based on the second lighting adjustment strategy.

[0007] Furthermore, the cloud server is also used to perform data preprocessing and feature extraction on the real-time environmental data to obtain current time features and current environmental features, input the current time features and current environmental features into the lighting adjustment model, obtain the predicted lighting adjustment strategy output by the lighting adjustment model, and determine the second lighting adjustment strategy based on the predicted lighting adjustment strategy; wherein, data preprocessing includes data cleaning and data standardization; the lighting adjustment model uses a supervised learning algorithm to predict the user's preferred lighting settings, uses an unsupervised learning algorithm to identify the user's usage pattern, and uses time series analysis to predict the user's usage time.

[0008] Furthermore, the cloud server is also used to optimize the lighting usage time and lighting brightness in the predicted lighting adjustment strategy based on preset energy consumption setting parameters to obtain a second lighting adjustment strategy.

[0009] Furthermore, the cloud server is also used to regularly collect historical environmental data and historical user usage data, and update the lighting adjustment model based on the historical environmental data and historical user usage data; wherein the historical user usage data includes one or more of light switching time, light brightness adjustment records, light color adjustment records, scene mode selection records and user manual adjustment frequency.

[0010] Furthermore, the lighting control command includes one or more of lighting scene information, lighting brightness information and lighting color information, and the lighting scene information includes a reading mode, a leisure mode or a sleeping mode.

[0011] Furthermore, the user terminal is also used to send device management commands to the cloud server; the cloud server is also used to receive device management commands and perform target management of smart lamps based on the device management commands; wherein the target management includes one or more of device registration, status monitoring and fault diagnosis.

[0012] Furthermore, the smart lamps exchange data with the gateway device via a preset communication protocol, and the gateway device communicates with the cloud server via Wi-Fi or a wired network; wherein the communication protocol includes Wi-Fi or Bluetooth.

[0013] In a second aspect, the present invention further provides a method for controlling lighting of an amusement device, which is applied to the amusement device lighting control system of the first aspect; the method for controlling lighting of an amusement device comprises:

[0014] The user terminal sends a lighting control command to the cloud server;

[0015] The cloud server receives the lighting control command and sends the corresponding first lighting adjustment strategy to the gateway device;

[0016] The smart lamp obtains the first lighting adjustment strategy forwarded by the gateway device, and adjusts the lighting of the amusement equipment based on the first lighting adjustment strategy;

[0017] The gateway device uploads the real-time environmental data of the amusement equipment to the cloud server;

[0018] The cloud server receives the real-time environment data, generates a second light adjustment strategy that matches the user's usage habits based on the real-time environment data and the trained light adjustment model, and sends the second light adjustment strategy to the gateway device; wherein the light adjustment model is trained based on the historical environment data and the historical user usage data, and the historical user usage data includes the offline adjustment data of the smart lamps uploaded by the gateway device and the remote adjustment data corresponding to the historical light control commands sent by the user terminal;

[0019] The smart lamp obtains the second light adjustment strategy forwarded by the gateway device, and performs light adjustment of the amusement equipment based on the second light adjustment strategy.

[0020] Furthermore, based on the real-time environment data and the trained light adjustment model, a second light adjustment strategy matching the user's usage habits is generated, including:

[0021] Perform data preprocessing and feature extraction on real-time environmental data to obtain current time features and current environmental features; data preprocessing includes data cleaning and data standardization;

[0022] Input the current time feature and the current environment feature into the lighting adjustment model to obtain the predicted lighting adjustment strategy output by the lighting adjustment model; wherein the lighting adjustment model uses a supervised learning algorithm to predict the user's preferred lighting settings, uses an unsupervised learning algorithm to identify the user's usage pattern, and uses time series analysis to predict the user's usage time;

[0023] Based on the predicted lighting adjustment strategy, a second lighting adjustment strategy is determined.

[0024] Further, based on the predicted lighting adjustment strategy, determining a second lighting adjustment strategy includes:

[0025] The light usage time and light brightness in the predicted light adjustment strategy are optimized based on the preset energy consumption setting parameters to obtain a second light adjustment strategy.

[0026] In the amusement equipment lighting control system and method provided by the present invention, the amusement equipment lighting control system includes a cloud server, an Internet of Things module of the amusement equipment and a user terminal, the Internet of Things module includes a paired smart lamp and a gateway device, and the gateway device and the user terminal are both connected to the cloud server in communication; the user terminal is used to send a lighting control command to the cloud server; the cloud server is used to receive the lighting control command and send the corresponding first lighting adjustment strategy to the gateway device; the smart lamp is used to obtain the first lighting adjustment strategy forwarded by the gateway device, and adjust the lighting of the amusement equipment based on the first lighting adjustment strategy; the gateway device is also used to upload real-time environmental data of the amusement equipment to the cloud server; the cloud server is also used to receive the real-time environmental data, generate a second lighting adjustment strategy matching the user's usage habits according to the real-time environmental data and the trained lighting adjustment model, and send the second lighting adjustment strategy to the gateway device; wherein the lighting adjustment model is obtained by training based on historical environmental data and historical user usage data, and the historical user usage data includes offline adjustment data of the smart lamp uploaded by the gateway device and remote adjustment data corresponding to the historical lighting control command sent by the user terminal; the smart lamp is also used to obtain the second lighting adjustment strategy forwarded by the gateway device, and adjust the lighting of the amusement equipment based on the second lighting adjustment strategy.

[0027] In this way, through the combination of cloud technology and IoT hardware, the amusement equipment lighting control system can not only realize remote and localized control of intelligent lamps, but also realize intelligent linkage with the player's senses, provide an intelligent lighting adjustment experience that matches the user's usage habits, and realize personalized lighting adjustment; users can adjust the lighting settings of the amusement equipment anytime and anywhere according to actual needs, thereby improving the convenience and flexibility of using the amusement equipment. Therefore, the amusement equipment lighting control system and method provided by the present invention realize efficient, flexible and intelligent lighting control, and improve the player experience of the amusement equipment. BRIEF DESCRIPTION OF THE DRAWINGS

[0028] In order to more clearly illustrate the specific implementation methods of the present invention or the technical solutions in the prior art, the drawings required for use in the specific implementation methods or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are some implementation methods of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0029] Figure 1 A schematic diagram of the structure of a lighting control system for an amusement device provided by an embodiment of the present invention;

[0030] Figure 2 A schematic diagram of the system architecture of an amusement equipment lighting control system provided by an embodiment of the present invention;

[0031] Figure 3 A flow chart of a method for controlling lighting of an amusement device provided by an embodiment of the present invention;

[0032] Figure 4 A schematic flow chart of another method for controlling lighting of an amusement device provided in an embodiment of the present invention.

[0033] Icons: 110- cloud server; 120- IoT module; 121- gateway device; 122- smart lamp; 130- user terminal. DETAILED DESCRIPTION

[0034] The technical solution of the present invention will be clearly and completely described below in conjunction with the embodiments. Obviously, the described embodiments are part of the embodiments of the present invention, rather than all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0035] At present, the existing lighting control systems have deficiencies in remote control, energy consumption management and system integration. For example, the existing lighting control system cannot realize intelligent linkage with the player's senses of the amusement equipment, and cannot provide personalized lighting adjustment solutions, resulting in poor player experience. Based on this, an amusement equipment lighting control system and method provided by the embodiment of the present invention adopts network cloud technology and Internet of Things hardware, and performs data processing and equipment management through the cloud, which can realize more efficient, flexible and intelligent lighting control, and to a certain extent solve the problems of insufficient intelligence, inconvenient remote control and imperfect energy consumption management existing in the prior art.

[0036] The embodiment of the present invention provides a lighting control system for an amusement device, such as Figure 1 As shown, the amusement equipment lighting control system includes a cloud server 110, an Internet of Things module 120 of the amusement equipment and a user terminal 130. The Internet of Things module 120 includes a paired smart lamp 122 and a gateway device 121. The gateway device 121 and the user terminal 130 are both connected to the cloud server 110. The cloud server 110 is mainly used for data processing and command issuance; the Internet of Things module 120 is mainly used for receiving and executing control commands; the user terminal 130 is mainly used for sending control commands and receiving device status information.

[0037] The amusement equipment lighting control system can provide a remote control function for the amusement equipment: the user terminal 130 is used to send a lighting control command to the cloud server 110; the cloud server 110 is used to receive the lighting control command and send a corresponding first lighting adjustment strategy to the gateway device 121; the smart lamp 122 is used to obtain the first lighting adjustment strategy forwarded by the gateway device 121, and adjust the lighting of the amusement equipment based on the first lighting adjustment strategy.

[0038] The cloud server 110 may convert the light control command from the user terminal 130 into a corresponding first light adjustment strategy, thereby controlling the light adjustment of the smart lamp 122. Optionally, the light control command may include one or more of light scene information, light brightness information, and light color information, and the light scene information may include a reading mode, a leisure mode, or a sleep mode, etc. In this way, the user can remotely control the light scene, light brightness, and light color, etc., of the amusement equipment.

[0039] The amusement equipment lighting control system can also provide an intelligent lighting adjustment experience: the gateway device 121 is also used to upload the real-time environmental data of the amusement equipment to the cloud server 110; the cloud server 110 is also used to receive the real-time environmental data, and generate a second lighting adjustment strategy that matches the user's usage habits based on the real-time environmental data and the trained lighting adjustment model, and send the second lighting adjustment strategy to the gateway device 121; wherein the lighting adjustment model is trained based on historical environmental data and historical user usage data, and the historical user usage data includes offline adjustment data of the smart lamps uploaded by the gateway device 121 and remote adjustment data corresponding to historical lighting control commands sent by the user terminal 130; the smart lamps 122 are also used to obtain the second lighting adjustment strategy forwarded by the gateway device 121, and perform lighting adjustment of the amusement equipment based on the second lighting adjustment strategy.

[0040] The cloud server 110 can obtain historical environmental data and historical user usage data, and analyze user usage habits through machine learning algorithms to generate a lighting adjustment model, and use the lighting adjustment model in combination with real-time environmental data to automatically generate a lighting control strategy. For example, soft warm lights are automatically turned on at dusk, and the lights are dimmed when the ambient light is dim. Among them, the environmental data (historical environmental data / real-time environmental data) may include one or more of light intensity, temperature, humidity and air pressure, and the historical user usage data may include one or more of light switching time, light brightness adjustment records, light color adjustment records, scene mode selection records and user manual adjustment frequency. The above-mentioned offline adjustment data refers to the adjustment data corresponding to the user's setting or adjustment of smart lamps directly on the amusement equipment. When training the lighting adjustment model, cross-validation can be used to evaluate the model performance, and the model can be optimized through hyperparameter tuning.

[0041] Through the combination of cloud technology and IoT hardware, the amusement equipment lighting control system can not only realize remote and localized control of smart lamps, but also realize intelligent linkage with the players' senses, provide an intelligent lighting adjustment experience that matches the user's usage habits, and realize personalized lighting adjustment; users can adjust the lighting settings of the amusement equipment anytime and anywhere according to actual needs, improving the convenience and flexibility of the use of amusement equipment. Therefore, the amusement equipment lighting control system realizes efficient, flexible and intelligent lighting control, and improves the player experience of the amusement equipment.

[0042] Optionally, the user terminal 130 may be a smart phone, a tablet computer or other mobile devices.

[0043] Optionally, the smart lamp 122 can exchange data with the gateway device 121 through a preset communication protocol, and the gateway device 121 can communicate with the cloud server 110 through Wi-Fi or a wired network; wherein the communication protocol includes Wi-Fi or Bluetooth, etc. The gateway device 121 can communicate with the cloud server 110 and the user terminal 130 through Wi-Fi or Bluetooth communication protocol.

[0044] In some possible embodiments, the cloud server 110 is further used to perform data preprocessing and feature extraction on real-time environmental data to obtain current time features and current environmental features, input the current time features and current environmental features into a lighting adjustment model, obtain a predicted lighting adjustment strategy output by the lighting adjustment model, and determine a second lighting adjustment strategy based on the predicted lighting adjustment strategy; wherein data preprocessing includes data cleaning and data standardization; the lighting adjustment model uses a supervised learning algorithm to predict the user's preferred lighting settings, uses an unsupervised learning algorithm to identify the user's usage pattern, and uses time series analysis to predict the user's usage time.

[0045] Specifically, data cleaning is used to remove outliers and noise data, and data standardization is used to unify data of different dimensions to the same scale. When extracting features, time features such as hours, days of the week, and months can be extracted from timestamps; data such as light intensity, temperature, humidity, and air pressure can be combined into composite features as environmental features. Supervised learning algorithms can include random forests or gradient boosting trees, etc.; unsupervised learning algorithms can use K-means clustering algorithms, etc.; time series analysis can use ARIMA (AutoRegressive Integrated Moving Average) and the like. By combining multiple algorithms such as supervised learning algorithms, unsupervised learning algorithms, and time series analysis, accurate prediction of lighting adjustment strategies can be achieved.

[0046] In a possible implementation, the predicted lighting adjustment strategy may be directly used as the second lighting adjustment strategy.

[0047] In another possible implementation, the predicted light adjustment strategy can be optimized based on the user's energy consumption requirements to obtain a second light adjustment strategy. Based on this, the above-mentioned amusement equipment light control system also has an energy consumption management function: the cloud server 110 is also used to optimize the light use time and light brightness in the predicted light adjustment strategy based on the preset energy consumption setting parameters to obtain the second light adjustment strategy. Among them, the energy consumption setting parameters are parameters preset by the user, such as the user can generate the corresponding energy consumption setting parameters by choosing whether to start the energy-saving mode. In this way, by optimizing the light use time and light brightness, energy consumption can be reduced and energy-saving effects can be achieved.

[0048] Optionally, the cloud server 110 is also used to regularly collect historical environment data and historical user usage data, and update the light adjustment model based on the historical environment data and historical user usage data; wherein the historical user usage data includes one or more of the light on / off time, light brightness adjustment record, light color adjustment record, scene mode selection record, and user manual adjustment frequency. By regularly updating the light adjustment model, the user's preference changes for the amusement equipment lighting can be timely identified, further improving the player experience of the amusement equipment.

[0049] Optionally, the user terminal 130 is further used to send a device management command to the cloud server 110; the cloud server 110 is further used to receive the device management command and perform target management on the smart lamp based on the device management command; wherein the target management includes one or more of device registration, status monitoring and fault diagnosis. In this way, the cloud server 110 can manage the amusement equipment according to the user's operation, including device registration, status monitoring and fault diagnosis. The user terminal 130 can obtain device status information from the cloud server 110, such as device registration information, status monitoring information and fault diagnosis information.

[0050] In one possible implementation, Figure 2As shown, the gateway device 121 can be a local data acquisition terminal switchboard, which can summarize the environmental data collected by various environmental sensors and upload them to the cloud server 110, wherein the environmental sensors can include ambient light sensors, temperature and humidity sensors, and air pressure sensors. The above-mentioned smart lamp 122 can include multiple data execution extensions, such as data execution extension 1 and data execution extension 2, etc. The lighting adjustment strategy issued by the cloud server 110 can include a sub-strategy corresponding to each data execution extension; the local data acquisition terminal switchboard can obtain the lighting adjustment strategy issued by the cloud server 110, and issue each sub-strategy therein to the corresponding data execution extension to realize the intelligent lighting adjustment experience. Each data execution extension can realize functions such as light brightness control, light style control, machine parameter control and historical data query. The cloud server 110 can issue a lighting adjustment strategy to control the light brightness of each data execution extension to realize energy consumption management.

[0051] For ease of understanding, the above-mentioned amusement equipment lighting control system is introduced in detail below.

[0052] The above-mentioned amusement equipment lighting control system mainly includes the following parts:

[0053] 1. Cloud Server:

[0054] (1) Responsible for data storage, processing and analysis, as well as the issuance of user control commands.

[0055] (2) The cloud server communicates with the user control terminal (i.e., user terminal, such as a smartphone, tablet computer, etc.) through an open API interface.

[0056] (3) Using big data analysis technology, the cloud server can recommend intelligent lighting adjustment strategies based on user usage habits and environmental data.

[0057] 2. IoT hardware module (i.e. IoT module):

[0058] (1) Includes smart lamps and gateway devices connected to cloud servers.

[0059] (2) Smart lamps exchange data with gateway devices through communication protocols such as Wi-Fi or Bluetooth.

[0060] (3) The gateway device is responsible for receiving control commands from the cloud server and forwarding them to the corresponding smart lamps.

[0061] 3. User control terminal module:

[0062] (1) Users can remotely control the smart lights of amusement equipment through an application (i.e., APP) installed on a smartphone or other mobile device.

[0063] (2) The APP communicates with the cloud server, and the user's control commands are forwarded to the IoT hardware module through the cloud server to realize the control of the lights.

[0064] The function realization of the above-mentioned amusement equipment lighting control system may include the following steps:

[0065] Step 1: System initialization

[0066] The user downloads and installs the APP on the user terminal, registers an account and logs in. The gateway device is bound to the user account by scanning the QR code of the gateway device or entering the device identification code through the APP.

[0067] Step 2: Connect smart lamps to the gateway device

[0068] The user pairs the smart lamp with the gateway device according to the guidance of the APP. The smart lamp establishes a communication connection with the gateway device through the specified communication protocol.

[0069] Step 3: Cloud configuration and management

[0070] The gateway device is connected to the Internet via Wi-Fi or wired network and establishes a stable communication connection with the cloud server. The cloud server manages the amusement equipment according to the user's operation, including registration, status monitoring and fault diagnosis of the amusement equipment.

[0071] Step 4: Lighting control and management

[0072] Users can select lighting scenes (such as reading mode, leisure mode or sleep mode) or set the light brightness and color by themselves through the APP interface. The APP sends the user's control command to the cloud server, which performs corresponding logical processing and sends the control command to the corresponding gateway device, which finally forwards the command to the smart lamp for execution.

[0073] Step 5: Intelligent Adjustment

[0074] The cloud server regularly collects user usage data and environmental sensor data (such as light intensity, temperature, humidity, and time information), analyzes user usage habits through machine learning algorithms, and automatically adjusts the lighting control strategy. For example, it automatically turns on soft warm lights at dusk and dims the lights of amusement equipment when the ambient light is dark.

[0075] Through the above solution, the amusement equipment lighting control system can realize remote and localized control of smart lamps, providing a more intelligent lighting adjustment experience. Users can adjust the lighting settings anytime and anywhere according to actual needs, which improves the convenience and flexibility of use. At the same time, the cloud server can perform big data analysis and provide personalized lighting control strategies to improve user experience. In addition, the amusement equipment lighting control system also has energy consumption management function, which reduces energy consumption by optimizing the lighting usage time and brightness.

[0076] In summary, the amusement equipment lighting control system provided in the embodiment of the present invention realizes intelligent control of amusement equipment lighting by combining cloud technology with Internet of Things hardware, which not only improves the user experience, but also has an efficient energy consumption management function, and has broad application prospects and market value.

[0077] The embodiment of the present invention also provides a method for controlling the lighting of an amusement device, which is applied to the above-mentioned amusement device lighting control system. The method for controlling the lighting of an amusement device can realize the remote control function of the amusement device, see Figure 3 A flow chart of a method for controlling lighting of an amusement device is shown, and the method for controlling lighting of an amusement device comprises:

[0078] Step S310: the user terminal sends a lighting control command to the cloud server.

[0079] In step S320, the cloud server receives the lighting control command and sends a corresponding first lighting adjustment strategy to the gateway device.

[0080] Step S330: The smart lamp obtains the first lighting adjustment strategy forwarded by the gateway device, and adjusts the lighting of the amusement equipment based on the first lighting adjustment strategy.

[0081] The above-mentioned amusement equipment lighting control method can also realize intelligent lighting adjustment experience, see Figure 4 A flow chart of another method for controlling the lighting of an amusement device is shown, and the method for controlling the lighting of an amusement device comprises:

[0082] Step S410: The gateway device uploads the real-time environmental data of the amusement device to the cloud server.

[0083] In step S420, the cloud server receives the real-time environment data, generates a second light adjustment strategy that matches the user's usage habits based on the real-time environment data and the trained light adjustment model, and sends the second light adjustment strategy to the gateway device.

[0084] Among them, the lighting adjustment model is trained based on historical environmental data and historical user usage data. The historical user usage data includes offline adjustment data of smart lamps uploaded by the gateway device and remote adjustment data corresponding to historical lighting control commands sent by the user terminal.

[0085] In some possible embodiments, step S420 may include: performing data preprocessing and feature extraction on real-time environmental data to obtain current time features and current environmental features; wherein data preprocessing includes data cleaning and data standardization; inputting the current time features and the current environmental features into a lighting adjustment model to obtain a predicted lighting adjustment strategy output by the lighting adjustment model; wherein the lighting adjustment model uses a supervised learning algorithm to predict the user's preferred lighting settings, uses an unsupervised learning algorithm to identify the user's usage patterns, and uses time series analysis to predict the user's usage time; and based on the predicted lighting adjustment strategy, determining a second lighting adjustment strategy.

[0086] In a possible implementation, the predicted light adjustment strategy can be optimized based on the user's energy consumption requirements to obtain a second light adjustment strategy. Based on this, the light usage time and light brightness in the predicted light adjustment strategy can be optimized based on preset energy consumption setting parameters to obtain the second light adjustment strategy.

[0087] Step S430: The smart lamp obtains the second light adjustment strategy forwarded by the gateway device, and adjusts the light of the amusement equipment based on the second light adjustment strategy.

[0088] In this way, through the combination of cloud technology and IoT hardware, the amusement equipment lighting control method can not only realize remote and localized control of intelligent lamps, but also realize intelligent linkage with the player's senses, provide an intelligent lighting adjustment experience that matches the user's usage habits, and realize personalized lighting adjustment; users can adjust the lighting settings of the amusement equipment anytime and anywhere according to actual needs, thereby improving the convenience and flexibility of the use of the amusement equipment. Therefore, the amusement equipment lighting control method realizes efficient, flexible and intelligent lighting control, and improves the player experience of the amusement equipment.

[0089] The implementation principle and technical effects of the amusement equipment lighting control method provided in this embodiment are the same as those of the aforementioned amusement equipment lighting control system embodiment. For the sake of brief description, for matters not mentioned in the amusement equipment lighting control method embodiment, reference may be made to the corresponding contents in the aforementioned amusement equipment lighting control system embodiment.

[0090] The term "and / or" herein is only a description of the association relationship of the associated objects, indicating that there may be three relationships. For example, A and / or B can represent: A exists alone, A and B exist at the same time, and B exists alone. In addition, the term "at least one" herein represents any combination of at least two of any one or more of a plurality of. For example, including at least one of A, B, and C can represent including any one or more elements selected from the set consisting of A, B, and C.

[0091] In all examples shown and described herein, any specific values ​​should be interpreted as merely exemplary and not as limiting, and thus other examples of the exemplary embodiments may have different values.

[0092] It should be noted that similar reference numerals and letters denote similar items in the following drawings, and therefore, once an item is defined in one drawing, further definition and explanation thereof is not required in subsequent drawings.

[0093] In addition, in the description of the embodiments of the present invention, unless otherwise clearly specified and limited, the terms "installed", "connected", and "connected" should be understood in a broad sense, for example, it can be a fixed connection, a detachable connection, or an integral connection; it can be a mechanical connection or an electrical connection; it can be a direct connection or an indirect connection through an intermediate medium, or it can be the internal communication of two components. For ordinary technicians in this field, the specific meanings of the above terms in the present invention can be understood according to specific circumstances.

[0094] In the description of the present invention, it should be noted that the terms "center", "upper", "lower", "left", "right", "vertical", "horizontal", "inner", "outer", etc., indicating the orientation or positional relationship, are based on the orientation or positional relationship shown in the drawings, and are only for the convenience of describing the present invention and simplifying the description, rather than indicating or implying that the device or element referred to must have a specific orientation, be constructed and operated in a specific orientation, and therefore cannot be understood as limiting the present invention. In addition, the terms "first", "second", and "third" are used for descriptive purposes only, and cannot be understood as indicating or implying relative importance.

[0095] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention, rather than to limit it. 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 replace some or all of the technical features therein with equivalents. However, these modifications or replacements do not cause the essence of the corresponding technical solutions to deviate from the scope of the technical solutions of the embodiments of the present invention.

Claims

1. A lighting control system for an amusement ride, characterized in that: It includes a cloud server, an Internet of Things module of an amusement device, and a user terminal, wherein the Internet of Things module includes a paired smart lamp and a gateway device, and the gateway device and the user terminal are both connected to the cloud server in communication; The user terminal is used to send a lighting control command to the cloud server; The cloud server is used to receive the light control command and send the corresponding first light adjustment strategy to the gateway device; the smart lamp is used to obtain the first light adjustment strategy forwarded by the gateway device and adjust the light of the amusement device based on the first light adjustment strategy; The gateway device is also used to upload the real-time environmental data of the amusement equipment to the cloud server; the cloud server is also used to receive the real-time environmental data, generate a second lighting adjustment strategy that matches the user's usage habits based on the real-time environmental data and the trained lighting adjustment model, and send the second lighting adjustment strategy to the gateway device; wherein the lighting adjustment model is trained based on historical environmental data and historical user usage data, and the historical user usage data includes offline adjustment data of the smart lamp uploaded by the gateway device and remote adjustment data corresponding to the historical lighting control commands sent by the user terminal; the smart lamp is also used to obtain the second lighting adjustment strategy forwarded by the gateway device, and perform lighting adjustment of the amusement equipment based on the second lighting adjustment strategy.

2. The amusement equipment lighting control system according to claim 1, characterized in that: The cloud server is also used to perform data preprocessing and feature extraction on the real-time environmental data to obtain current time features and current environmental features, input the current time features and current environmental features into the light adjustment model to obtain the predicted light adjustment strategy output by the light adjustment model, and determine the second light adjustment strategy based on the predicted light adjustment strategy; wherein the data preprocessing includes data cleaning and data standardization; the light adjustment model uses a supervised learning algorithm to predict the user's preferred light settings, uses an unsupervised learning algorithm to identify the user's usage pattern, and uses time series analysis to predict the user's usage time.

3. The amusement equipment lighting control system according to claim 2, characterized in that: The cloud server is further used to optimize the light usage time and light brightness in the predicted light adjustment strategy based on preset energy consumption setting parameters to obtain the second light adjustment strategy.

4. The amusement equipment lighting control system according to claim 1, characterized in that: The cloud server is also used to periodically collect the historical environment data and the historical user usage data, and update the lighting adjustment model based on the historical environment data and the historical user usage data; wherein the historical user usage data includes one or more of light switching time, light brightness adjustment records, light color adjustment records, scene mode selection records and user manual adjustment frequency.

5. The amusement equipment lighting control system according to claim 1, characterized in that: The light control command includes one or more of light scene information, light brightness information and light color information, and the light scene information includes a reading mode, a leisure mode or a sleep mode.

6. The amusement equipment lighting control system according to claim 1, characterized in that: The user terminal is also used to send device management commands to the cloud server; the cloud server is also used to receive the device management commands and perform target management on the smart lamp based on the device management commands; wherein the target management includes one or more of device registration, status monitoring and fault diagnosis.

7. The amusement equipment lighting control system according to any one of claims 1 to 6, characterized in that: The smart lamp exchanges data with the gateway device via a preset communication protocol, and the gateway device is connected to the cloud server via Wi-Fi or a wired network; wherein the communication protocol includes Wi-Fi or Bluetooth.

8. A method for controlling lighting of an amusement device, characterized in that: The amusement equipment lighting control system applied to any one of claims 1 to 7; the amusement equipment lighting control method comprises: The user terminal sends a lighting control command to the cloud server; The cloud server receives the lighting control command, and sends a corresponding first lighting adjustment strategy to the gateway device; The smart lamp obtains the first light adjustment strategy forwarded by the gateway device, and performs light adjustment of the amusement equipment based on the first light adjustment strategy; The gateway device uploads the real-time environmental data of the amusement device to the cloud server; The cloud server receives the real-time environment data, generates a second light adjustment strategy that matches the user's usage habits according to the real-time environment data and the trained light adjustment model, and sends the second light adjustment strategy to the gateway device; wherein the light adjustment model is trained based on historical environment data and historical user usage data, and the historical user usage data includes offline adjustment data of the smart lamp uploaded by the gateway device and remote adjustment data corresponding to historical light control commands sent by the user terminal; The smart lamp obtains the second light adjustment strategy forwarded by the gateway device, and performs light adjustment of the amusement equipment based on the second light adjustment strategy.

9. The amusement equipment lighting control method according to claim 8, characterized in that: The generating a second lighting adjustment strategy matching the user's usage habits according to the real-time environment data and the trained lighting adjustment model includes: Performing data preprocessing and feature extraction on the real-time environment data to obtain current time features and current environment features; wherein the data preprocessing includes data cleaning and data standardization; Inputting the current time feature and the current environment feature into the light adjustment model to obtain a predicted light adjustment strategy output by the light adjustment model; wherein the light adjustment model uses a supervised learning algorithm to predict the light settings preferred by the user, uses an unsupervised learning algorithm to identify the user's usage pattern, and uses time series analysis to predict the user's usage time; Based on the predicted light adjustment strategy, the second light adjustment strategy is determined.

10. The method for controlling lighting of amusement equipment according to claim 9, characterized in that: The determining the second lighting adjustment strategy based on the predicted lighting adjustment strategy includes: The light usage time and light brightness in the predicted light adjustment strategy are optimized based on preset energy consumption setting parameters to obtain the second light adjustment strategy.

Images