Remote intelligent control method for adjusting lamp in LED cabinet

Abstract

The invention discloses a remote intelligent control method for adjusting a lamp in an LED cabinet, and the method comprises the following steps: S1, a lighting system is connected to a platform layer through a network layer, and the platform layer receives a control instruction of a user through a user interface module; s2, the lighting system transmits the user data to a server for storage; s3, the server compares the instruction information sent by the platform layer with the user data; s4, the control instruction packet is sent to the lighting system through the network layer; s5, the data processing module decodes the control instruction packet to generate a control instruction; s6, the LED lamp adjusts the light emitting parameters according to the received control instruction; s7, a tracking result is sent to the platform layer through the network layer; and S8, making the tracking result accord with the LED in-cabinet lamp illumination parameters set by the application layer, the illumination intensity is automatically adjusted according to the ambient light, and the remote intelligent control requirement of a user is met.

Description

TECHNICAL FIELD

[0001] The present application belongs to the technical field of LED lighting, and particularly relates to a remote intelligent control method for adjusting LED cabinet light. BACKGROUND

[0002] The LED cabinet light has multiple effects of improving safety, optimizing life experience and enhancing space aesthetics in modern homes, and is particularly suitable for scenes such as wardrobes and cabinets. When taking and placing clothes in the deep part of the wardrobe, it is easy to pick up the wrong clothes or miss accessories, increasing the difficulty of taking and placing. The LED cabinet light can effectively eliminate the shadow area inside the cabinet body by setting local lighting. The LED cabinet light has low power consumption and long service life, significantly reducing the replacement frequency and maintenance cost.

[0003] The existing LED cabinet light is controlled on site by switches, buttons and other electrical appliances, and cannot be remotely controlled. On-site control usually requires manual inspection and manual operation, and cannot monitor the running state of the LED cabinet light in real time. The user needs to check the running status of each lamp regularly, which is time-consuming and laborious and difficult to cover all areas. The traditional on-site control method cannot automatically adjust the brightness and color of the LED cabinet light according to the ambient light, and cannot meet the user's intelligent control needs. SUMMARY

[0004] The purpose of the present application is to solve the problems in the prior art and provide a remote intelligent control method for adjusting LED cabinet light.

[0005] Technical scheme: A remote intelligent control method for adjusting LED cabinet light, characterized in that it comprises a lighting system, a perception layer, a network layer, a platform layer and an application layer. The perception layer is used to collect environmental information of the LED cabinet light. The network layer is used for data transmission between the perception layer, the platform layer and the application layer. The platform layer is provided with a data processing module, a tracking module, a business logic module and a user interface module. The application layer is used to set the lighting parameters of the LED cabinet light. The control method comprises the following steps: S1. The lighting system is connected to the platform layer through the network layer. The platform layer receives the user's control instruction through the user interface module. S2. The lighting system transmits user data to the server for storage. S3. The server compares the instruction information and user data sent by the platform layer. If the instruction information and user data sent by the platform layer are consistent, the remote control platform encrypts the user's instruction and generates a control instruction package. S4. The control instruction package is sent to the lighting system through the network layer. S5. The data processing module decodes the control instruction package to generate a control instruction. S6. The business logic module communicates with the LED lamp according to the control instruction, and the LED lamp adjusts the light-emitting parameter according to the received control instruction; S7. The tracking module tracks the light-emitting state of the LED lamp, and sends the tracking result to the platform layer through the network layer; S8. The user interface module displays the tracking result of the LED cabinet light, and compares the tracking result with the lighting parameter of the LED cabinet light set by the application layer, so that the tracking result is consistent with the lighting parameter of the LED cabinet light set by the application layer.

[0006] Further improvements of the application are that the platform layer supports multi-platform operation, and the multi-platform includes a computer and a smart phone.

[0007] Further improvements of the application are that the multi-platform sets a user permission module for setting the permissions of different users.

[0008] Further improvements of the application are that in step S1, the user interface module includes a user login unit, a map unit, an information publishing unit and a communication unit.

[0009] Further improvements of the application are that in step S5, the decoding step is: S51. The received control instruction packet is subjected to security check, and the received control instruction packet is converted from a network protocol format into an internal format of a decoding algorithm; S52. The control instruction is extracted from the control instruction packet according to the format of the control instruction packet; S53. The control instruction is checked by a check code, and if the check fails, the control instruction needs to be checked again and executed after passing the check.

[0010] Further improvements of the application are that in step S3, the server includes a CPU processing unit, a key input unit and a communication unit.

[0011] Further improvements of the application are that in step S5, the data processing module is provided with a user terminal memory and a user terminal processor.

[0012] Further improvements of the application are that in step S7, the tracking module is equipped with a plurality of tracking nodes.

[0013] Compared with the prior art, the remote intelligent control method for adjusting the LED cabinet light provided by the application at least achieves the following beneficial effects: The present application does not need to be controlled on site by switches, buttons and the like, can remotely control the LED cabinet light, can complete the brightness adjustment, color correction and debugging work without on-site operation, eliminates the difficulty of on-site maintenance, significantly improves the operation efficiency and reduces the travel cost, can monitor the running state of the LED cabinet light in real time, quickly diagnoses the fault and repairs; the brightness and color of the LED cabinet light can be automatically adjusted according to the environmental light, the system can automatically adjust the illumination intensity according to the environmental light, meets the intelligent control demand of the user, and improves the user experience. BRIEF DESCRIPTION OF DRAWINGS

[0014] Figure 1 A flowchart of a remote intelligent control method for adjusting LED cabinet light according to the present application is shown in the figure. DETAILED DESCRIPTION

[0015] Various exemplary embodiments of the present application will now be described in detail. It should be noted that the relative arrangement of components and steps, numerical expressions, and numerical values set forth in these embodiments are not limiting to the scope of the present application unless otherwise specifically stated. The following description of at least one exemplary embodiment is merely illustrative in nature and is in no way limiting to the scope of the present application and its applications or uses.

[0016] Techniques, methods, and equipment known to those of ordinary skill in the relevant art can not be discussed in detail, but should be considered part of the specification where appropriate. In all examples shown and discussed herein, any specific values should be interpreted as merely illustrative, not as limiting. Thus, other examples of the exemplary embodiments can have different values.

[0017] Reference Figure 1 A remote intelligent control method for adjusting LED cabinet light includes a lighting system, a perception layer, a network layer, a platform layer, and an application layer. The perception layer is used to collect environmental information of the LED cabinet light. The network layer is used for data transmission between the perception layer, the platform layer, and the application layer. The platform layer is provided with a data processing module, a tracking module, a business logic module, and a user interface module. The application layer is used to set the lighting parameters of the LED cabinet light. The control method includes the following steps: S1. The lighting system is connected to the platform layer through the network layer. The platform layer receives the control instructions of the user through the user interface module. S2. The lighting system transmits the user data to the server for storage. S3. The server compares the instruction information and the user data sent by the platform layer. If the instruction information and the user data sent by the platform layer are consistent, the remote control platform encrypts the instruction sent by the user and generates a control instruction package. S4. The control instruction package is sent to the light system through a network layer; S5. The data processing module decodes the control instruction package to generate a control instruction; S6. The service logic module communicates with the LED lamp according to the control instruction, and the LED lamp adjusts the light-emitting parameters according to the received control instruction; S7. The tracking module tracks the light-emitting state of the LED lamp and sends the tracking result to the platform layer through the network layer; S8. The user interface module displays the tracking result of the LED cabinet light, and the tracking result is compared with the lighting parameters of the LED cabinet light set by the application layer, so that the tracking result is consistent with the lighting parameters of the LED cabinet light set by the application layer.

[0018] The platform layer supports multi-platform operation, including computers and smart phones, improving the use consistency of users between different devices; the multi-platform sets a user permission module for setting the permissions of different users; in step S1, the user interface module includes a user login unit, a map unit, an information publishing unit and a communication unit.

[0019] In step S5, the decoding step is: S51. The received control instruction package is checked for security, and the received control instruction package is converted from a network protocol format to an internal format of a decoding algorithm; S52. The control instruction is extracted from the control instruction package according to the format of the control instruction package; S53. The control instruction is checked by a check code, and if the check fails, the control instruction needs to be checked again and executed after passing.

[0020] In step S3, the server includes a CPU processing unit, a key input unit and a communication unit; in step S5, the data processing module is provided with a user terminal memory and a user terminal processor, which work together to meet the real-time data processing requirements; in step S7, the tracking module is equipped with multiple tracking nodes, which can quickly locate the specific link where the fault occurs, reducing the scope of troubleshooting.

[0021] The present application does not need to be controlled on site by switches, buttons and other electrical appliances, and can remotely control the LED cabinet light, without the need for on-site operation to complete brightness adjustment, color correction and other debugging work, eliminating the difficulty of on-site maintenance, significantly improving the operation efficiency and reducing the travel cost, and being able to monitor the running state of the LED cabinet light in real time, quickly diagnose faults and repair; the brightness and color of the LED cabinet light can be automatically adjusted according to the ambient light, the system can automatically adjust the lighting intensity according to the ambient light, meet the intelligent control needs of users, and improve the user experience.

[0022] The specific embodiments described herein are merely illustrative of the spirit of the application. Various modifications or changes in the specific embodiments described herein can occur to those skilled in the art to which the application pertains without departing from the spirit of the application, and it is understood that such modifications or changes are to be considered as within the scope of the application as defined by the appended claims.

Claims

1. A method for remote intelligent control of LED cabinet light adjustment, characterized in that, The application relates to a control method of a lighting system, which comprises a lighting system, a perception layer, a network layer, a platform layer and an application layer, the perception layer is used for collecting environmental information of LED cabinet lamps, the network layer is used for data transmission between the perception layer, the platform layer and the application layer, the platform layer is provided with a data processing module, a tracking module, a business logic module and a user interface module, and the application layer is used for setting lighting parameters of the LED cabinet lamps, and the control method comprises the following steps: S1. The lighting system is connected to the platform layer through the network layer, the platform layer receives a control instruction of a user through the user interface module; S2. The lighting system transmits user data to a server for storage; S3. The server compares instruction information and user data sent by the platform layer, if the instruction information and the user data sent by the platform layer are consistent, the remote control platform encrypts the instruction sent by the user and generates a control instruction package; S4. The control instruction package is sent to the lighting system through the network layer; S5. The data processing module decodes the control instruction package to generate a control instruction; S6. The business logic module communicates with the LED lamp according to the control instruction, and the LED lamp adjusts light-emitting parameters according to the received control instruction; S7. The tracking module tracks the light-emitting state of the LED lamp and sends tracking results to the platform layer through the network layer; S8. The user interface module displays the tracking results of the LED cabinet lamp, and the tracking results are compared with the lighting parameters of the LED cabinet lamp set by the application layer, so that the tracking results are consistent with the lighting parameters of the LED cabinet lamp set by the application layer.

2. A remote intelligent control method for regulating LED cabinet light according to claim 1, characterized in that, The platform layer supports multi-platform operation, and the multi-platform comprises a computer and a smart phone.

3. A remote intelligent control method for regulating LED cabinet light according to claim 2, characterized in that, The multi-platform is provided with a user permission module for setting the permissions of different users.

4. The method for remote intelligent control of LED cabinet light according to claim 1, wherein, In the step S1, the user interface module comprises a user login unit, a map unit, an information publishing unit and a communication unit.

5. The method for remote intelligent control of LED cabinet light according to claim 1, wherein, In the step S5, the decoding step is as follows: S51. The received control instruction package is subjected to security check, and the received control instruction package is converted from a network protocol format into an internal format of a decoding algorithm; S52. The control instruction is extracted from the control instruction package according to the format of the control instruction package; S53. The control instruction is checked by a check code, if the checking fails, the control instruction needs to be checked again and is executed after passing the check.

6. The method for remote intelligent control of LED cabinet light according to claim 1, wherein, In the step S3, the server comprises a CPU processing unit, a key input unit and a communication unit.

7. The method for remote intelligent control of LED cabinet light according to claim 1, wherein, In the step S5, the data processing module is provided with a user terminal memory and a user terminal processor.

8. The method for remote intelligent control of LED cabinet light according to claim 1, wherein, In the step S7, the tracking module is provided with a plurality of tracking nodes.

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