Grouping system and method based on equipment side triggering

Abstract

The invention discloses a grouping system and method based on device end triggering in the technical field of Internet of Things. The method comprises the following steps: detecting whether a grouping mode starting condition is triggered or not; when the grouping mode starting condition is triggered in response, the brightness of the Internet of Things lamp is adjusted to be low brightness, and sensing data of the Internet of Things lamp which is triggered to be lightened by the outside world is detected in real time; the sensing data obtained through real-time detection is periodically exchanged with other surrounding Internet of Things lamps through a wireless Internet of Things to obtain positioning data, and whether a grouping mode ending condition is triggered or not is detected; when a grouping mode ending condition is triggered in response, performing judgment grouping in combination with the sensing data and the positioning data; receiving operation parameters of the Internet of Things lamps through the wireless Internet of Things when the grouping is judged to be completed; quitting the grouping mode when the operation parameters are received, and reporting the grouped data to the cloud-of-things platform. According to the invention, automatic grouping of the lamps at the equipment end is realized, the debugging workload is reduced, and the threshold of debugging personnel is reduced.

Description

Technical Field

[0001] The invention relates to a grouping system and method based on device-side triggering, belonging to the technical field of Internet of Things. Background Art

[0002] With the popularization of smart lighting systems, the coverage area of ​​existing smart lighting systems, the number of devices that need to be debugged, and the configuration according to customer needs have increased. In the field of smart lighting, the technology of lamp grouping and personalized configuration has been very mature. By dividing lamps into different groups, different groups are given different parameters, and the parameters can be automatically adjusted at different times, the operation of lamps can be realized according to regions, types, usage habits, etc.

[0003] At present, most smart lighting systems can only be recognized and controlled by handheld remote controls, apps, and mini-programs, and the devices are grouped and parameterized based on manual on-site identification. However, with the gradual development of intelligent systems, the needs of different industries and users at different times and in different scenarios are always different. Therefore, the configuration functions are constantly increasing with the complexity of the needs, which raises the threshold for on-site commissioning personnel and increases the workload of commissioning, creating great resistance to the large-scale deployment and cost reduction of smart lighting systems. Summary of the invention

[0004] The purpose of the present invention is to overcome the deficiencies in the prior art and provide a grouping system and method based on device-side triggering, which detects sensing signals through IoT lamps and combines wireless IoT network communication for data interaction, thereby realizing automatic grouping of lamps on the device side, reducing debugging workload, and lowering the threshold for debugging personnel.

[0005] To achieve the above object, the present invention is implemented by adopting the following technical solutions:

[0006] In a first aspect, the present invention provides a grouping method based on device-side triggering, comprising:

[0007] Check whether the group mode start condition is triggered;

[0008] In response to the group mode start condition being triggered, the brightness of the IoT lamp is adjusted to a low brightness, and the sensing data of the IoT lamp being triggered to light up by the outside world is detected in real time;

[0009] The sensing data obtained by real-time detection is periodically exchanged with other IoT lamps around through the wireless IoT network to obtain positioning data, and to detect whether the end condition of the grouping mode is triggered;

[0010] In response to the grouping mode end condition being triggered, combining the sensing data and the positioning data to determine the grouping;

[0011] In response to determining that the grouping is completed, receiving operating parameters of the IoT lamp via the wireless IoT network;

[0012] In response to the completion of receiving the operating parameters, the grouping mode is exited, the grouping data is reported to the IoT cloud platform, and the operation is performed based on the obtained operating parameters.

[0013] Furthermore, the group mode start condition includes receiving a group mode start signal sent by an external device and regularly turning the power on and off multiple times.

[0014] Furthermore, the grouping mode end condition includes receiving a grouping mode end signal sent by an external device and the end of the automatic grouping operation time.

[0015] Furthermore, the external devices include an IoT gateway, a mobile device and a remote control. The IoT cloud platform can receive the reported data of the IoT lamps through the IoT gateway after the grouping mode ends, and configure the lamp grouping data before the grouping mode is started. The lamp grouping data includes automatic grouping method, operating parameters of each group after grouping and automatic grouping operating time.

[0016] Furthermore, the sensing data includes the number of sensing times and sensing distances at which the IoT lamps are triggered during movement of vehicles and / or personnel within the IoT lamp installation site.

[0017] Furthermore, the sensing data includes the number of sensing times and sensing distances at which the IoT lamps are triggered after the debugging personnel traverse all paths in the IoT lamp installation site at least once by vehicle or / and personnel.

[0018] Furthermore, the operating parameters include sensing time, sensing brightness and sensing distance.

[0019] In a second aspect, the present invention provides a grouping system based on device-side triggering, comprising:

[0020] Start detection module: used to detect whether the group mode start condition is triggered;

[0021] Induction detection module: used to adjust the brightness of the IoT lamp to low brightness in response to the triggering of the group mode start condition, and to detect the induction data of the IoT lamp being triggered and lit by the external environment in real time;

[0022] Data exchange module: used to periodically exchange the sensing data obtained by real-time detection with other IoT lamps around through the wireless IoT network to obtain positioning data, and to detect whether the end condition of the grouping mode is triggered;

[0023] A grouping determination module: used to determine grouping by combining sensing data and positioning data in response to the triggering of the grouping mode end condition;

[0024] Parameter receiving module: used for receiving the operating parameters of the IoT lamps through the wireless IoT network in response to judging that the grouping is completed;

[0025] Data reporting module: used to exit the grouping mode in response to the completion of receiving the operating parameters, report the grouped data to the IoT cloud platform, and operate based on the obtained operating parameters.

[0026] In a third aspect, the present invention provides a device-side triggered grouping apparatus, comprising a processor and a storage medium;

[0027] The storage medium is used to store instructions;

[0028] The processor is used to operate according to the instructions to execute the steps of any of the methods described above.

[0029] In a fourth aspect, the present invention provides a computer-readable storage medium having a computer program stored thereon, which implements the steps of any of the above methods when executed by a processor.

[0030] Compared with the prior art, the present invention has the following beneficial effects:

[0031] 1. The present invention proposes a grouping method based on device-side triggering, which is based on the wireless Internet of Things and combined with inductive sensors. The method exchanges data through automatic detection of inductive signals by lamps and wireless Internet of Things network communications, and uses self-developed algorithms to process inductive and positioning data, thereby realizing automatic grouping of lamps on the device side, reducing workload, and lowering the threshold for debugging personnel. The present invention can accurately and quickly realize automatic grouping of IoT inductive lamps, provide good support for subsequent parameter configuration and automatic execution of the smart lighting system, and conveniently solve the problem of increased workload of manual intervention.

[0032] 2. The present invention discloses a grouping method based on device-side triggering. Only IoT induction lamps are required. In addition, IoT gateways, mobile devices, remote controls and other components can be used as optional equipment to improve grouping efficiency and realize automatic grouping on the device side. It can not only realize unmanned automatic grouping of on-site IoT induction lamps, but also accelerate the automatic grouping process through manual intervention according to customer needs, and finally achieve the same grouping granularity and configuration flexibility as full manual grouping. Automatic grouping and IoT platform are unified and integrated. Regardless of whether there is intervention of IoT gateway in the automatic grouping stage, after the automatic grouping is completed, it can join the IoT platform, that is, delay the time of manual intervention and can be completed remotely. BRIEF DESCRIPTION OF THE DRAWINGS

[0033] The accompanying drawings constituting a part of the present invention are used to provide a further understanding of the present invention. The exemplary embodiments of the present invention and their descriptions are used to explain the present invention and do not constitute an improper limitation of the present invention. In the accompanying drawings:

[0034] Figure 1 A system structure diagram of a grouping method based on device-side triggering provided in Embodiment 1 of the present invention;

[0035] Figure 2 A logical schematic diagram of a grouping method based on device-side triggering provided in the first embodiment of the present invention;

[0036] Figure 3 A grouping process of a grouping method based on device-side triggering provided in the first embodiment of the present invention Figure 1 ;

[0037] Figure 4 A grouping process of a grouping method based on device-side triggering provided in the first embodiment of the present invention Figure 2 ;

[0038] Figure 5 A parking space grouping diagram of a grouping method based on device-side triggering provided in the first embodiment of the present invention;

[0039] Figure 6 A workstation grouping diagram of a grouping method based on device-side triggering provided in Embodiment 1 of the present invention. DETAILED DESCRIPTION

[0040] The present invention will be described in detail below with reference to the accompanying drawings and in combination with embodiments. It should be noted that the embodiments and features in the embodiments of the present invention can be combined with each other without conflict.

[0041] The following detailed description is an exemplary description, which is intended to provide further detailed description of the present invention. Unless otherwise specified, all technical terms used in the present invention have the same meaning as those generally understood by those skilled in the art to which the present invention belongs. The terms used in the present invention are only for describing specific embodiments, and are not intended to limit the exemplary embodiments according to the present invention.

[0042] Embodiment 1:

[0043] This embodiment provides a grouping method based on device-side triggering. Figure 1-2 The smallest system is a part of the Internet of Things network. Only the Internet of Things induction lamps are essential. In addition, components such as the Internet of Things gateway, mobile devices, and remote controls can be used as optional equipment to improve grouping efficiency, but the requirements for debugging personnel will not be increased.

[0044] IoT induction lamps: IoT induction lamps in the automatic grouping area are mainly used to automatically detect induction data, send wireless signals, receive and forward wireless signals, calculate the induction data and positioning data of themselves and surrounding lamps, and finally automatically realize automatic grouping.

[0045] IoT gateway, mobile device, remote control: IoT gateway, mobile device, and remote control are all devices used to start, stop, and modify the default grouping and configuration parameters of the automatic grouping mode. The gateway must work with the IoT cloud platform, and the mobile device (App or WeChat applet) and remote control can work independently, but the parameters need to be selected manually. Regardless of how the automatic grouping mode is started, the final automatic grouping is calculated and determined by the IoT lighting device network, and then reported to the IoT cloud platform (if any) through the IoT gateway, without the need for a distributed computing center.

[0046] IoT Cloud Platform: IoT Cloud Platform can configure in advance how to perform automatic grouping, the default parameters of each group after grouping, how long the automatic grouping will run, etc. before the automatic grouping mode is started. After the automatic grouping is started using an IoT gateway, mobile device, or remote control (which needs to be initialized through a mobile device), the IoT Cloud Platform will no longer intervene in the automatic grouping process.

[0047] The grouping method in this embodiment is based on the above-mentioned wireless Internet of Things technology, and implements automatic grouping of the device side for components such as IoT sensor lamps (required), IoT gateways, mobile devices, and remote controls (these three categories are optional and can be used in stages), so as to conveniently solve the problem of increased workload of manual intervention, such as Figure 3 As shown in the figure, when there are IoT gateways, mobile devices, and remote controls, the automatic grouping mode can be manually started, allowing personnel to actively intervene and speed up the automatic grouping process. After all lamps have completed automatic grouping, the grouping can be manually ended in advance and enter the normal operation mode. If the debugging personnel think that there is room for optimization after the grouping process, they can start the automatic grouping or manual grouping again. Generally, the automatic grouping of the specified area can be completed within half a day. The basic workflow is as follows:

[0048] S1. Any device including IoT gateway, mobile device and remote controller can start the grouping mode and send it to all lamps in the IoT through the wireless IoT network;

[0049] S2. Each IoT lamp, based on the received grouping mode and parameters, dims as required to remind the end user that it has entered the automatic grouping mode.

[0050] S3. Cooperate with the debugging personnel to trigger each IoT lamp by traversing all paths of the parking lot / office through vehicles / personnel. Traverse at least once. The more times you traverse, the more accurate the grouping effect.

[0051] S4. Each IoT lamp records the number of sensing times and sensing distance in real time, and periodically exchanges information with other IoT lamps around it through the wireless IoT network;

[0052] S5. When the specified automatic grouping time ends or an end grouping mode command is received from any device including the IoT gateway, mobile device, and remote controller, each IoT lamp automatically enters the appropriate group based on its own data and the number of sensing times, sensing distance, etc.;

[0053] S6. The IoT lamps that have correctly entered the designated group obtain normal operating parameters such as sensing time, sensing brightness, sensing distance, etc. through the wireless IoT network;

[0054] S7. The IoT lamps that have obtained complete parameters completely exit the automatic grouping mode, operate based on the obtained operating parameters and report data such as energy consumption. The reported data will only be forwarded to the platform if there is an IoT gateway nearby that can access the IoT platform.

[0055] See also Figure 4 When there is no IoT gateway, mobile device or remote control, the automatic grouping mode can be started by powering on. At this time, personnel are not allowed to actively intervene. The automatic grouping process ends automatically after the preset time. After the preset automatic grouping time ends, all grouped lamps cancel the single-lamp rigid mode and enter the grouping induction mode. The basic workflow is as follows:

[0056] S1. The grouping mode can be started by regularly turning the power on and off multiple times, and the signal is sent to all lamps in the IoT through the wireless IoT network;

[0057] S2. Each IoT lamp, based on the received grouping mode and parameters, dims as required to remind the end user that it has entered the automatic grouping mode.

[0058] S3. Trigger each IoT lamp through the normal use of the parking lot / office and the normal movement of vehicles and personnel;

[0059] S4. Each IoT lamp records the number of sensing times and sensing distance in real time, and periodically exchanges information with other IoT lamps around it through the wireless IoT network;

[0060] S5. When the specified automatic grouping time ends or an end grouping mode command is received from any device including the IoT gateway, mobile device, and remote controller, each IoT lamp automatically enters the appropriate group based on its own data and the number of sensing times, sensing distance, etc.;

[0061] S6. The IoT lamps that have correctly entered the designated group obtain normal operating parameters such as sensing time, sensing brightness, sensing distance, etc. through the wireless IoT network;

[0062] S7, the IoT lamps that have obtained complete parameters completely exit the automatic grouping mode and operate based on the obtained operating parameters;

[0063] S8. After adding the IoT gateway, data reporting can be enabled through the IoT platform.

[0064] See also Figure 5-6 Taking the parking spaces / lanes grouping in the parking lot and the corridors and workstations grouping in the office as examples, combined with the above technical solutions, the system involved in this method consists of the following parts:

[0065] 1. IoT induction lamps in expected group 1

[0066] 2. IoT induction lamps in expected groups 2 to N

[0067] 3. Mobile terminals: mobile phones, tablets, etc.

[0068] 4. Internet of Things Gateway

[0069] 5. Remote control

[0070] Regardless of whether there are mobile terminals, IoT gateways, and remote controllers in the system that start, stop, and modify command-issuing devices in the automatic grouping mode, this method can automatically adapt, that is, the entry of IoT lamps into automatic grouping does not depend on external IoT devices. If there are IoT devices such as mobile terminals, IoT gateways, and remote controllers, the grouping time can be effectively shortened, the grouping efficiency can be improved, and the grouping accuracy can be optimized. However, if there are no IoT devices such as mobile terminals, IoT gateways, and remote controllers, a suboptimal solution can still be obtained through long-term automatic operation, thereby further reducing system costs and avoiding manual intervention.

[0071] It should be noted that in the case of semi-automatic grouping with manual participation, try to keep the moving speed stable when actively traversing all paths, and try to avoid interference from non-debugging personnel during the manual traversal time, which will greatly improve the accuracy of automatic grouping. When performing long-term fully automatic grouping, try to avoid parking lots or offices that are already operating normally and avoid situations where there are no people in some areas to minimize the probability of incorrect grouping.

[0072] Embodiment 2:

[0073] A grouping system based on device-side triggering can implement a grouping method based on device-side triggering described in Embodiment 1, including:

[0074] Start detection module: used to detect whether the group mode start condition is triggered;

[0075] Induction detection module: used to adjust the brightness of the IoT lamp to low brightness in response to the triggering of the group mode start condition, and to detect the induction data of the IoT lamp being triggered and lit by the external environment in real time;

[0076] Data exchange module: used to periodically exchange the sensing data obtained by real-time detection with other IoT lamps around through the wireless IoT network to obtain positioning data, and to detect whether the end condition of the grouping mode is triggered;

[0077] A grouping determination module: used to determine grouping by combining sensing data and positioning data in response to the triggering of the grouping mode end condition;

[0078] Parameter receiving module: used for receiving the operating parameters of the IoT lamps through the wireless IoT network in response to judging that the grouping is completed;

[0079] Data reporting module: used to exit the grouping mode in response to the completion of receiving the operating parameters, report the grouped data to the IoT cloud platform, and operate based on the obtained operating parameters.

[0080] Embodiment three:

[0081] The embodiment of the present invention further provides a grouping device based on device-side triggering, which can implement the grouping method based on device-side triggering described in the first embodiment, including a processor and a storage medium;

[0082] The storage medium is used to store instructions;

[0083] The processor is used to operate according to the instructions to perform the steps of the following method:

[0084] Check whether the group mode start condition is triggered;

[0085] In response to the group mode start condition being triggered, the brightness of the IoT lamp is adjusted to a low brightness, and the sensing data of the IoT lamp being triggered to light up by the outside world is detected in real time;

[0086] The sensing data obtained by real-time detection is periodically exchanged with other IoT lamps around through the wireless IoT network to obtain positioning data, and to detect whether the end condition of the grouping mode is triggered;

[0087] In response to the grouping mode end condition being triggered, combining the sensing data and the positioning data to determine the grouping;

[0088] In response to determining that the grouping is completed, receiving operating parameters of the IoT lamp via the wireless IoT network;

[0089] In response to the completion of receiving the operating parameters, the grouping mode is exited, the grouping data is reported to the IoT cloud platform, and the operation is performed based on the obtained operating parameters.

[0090] Embodiment 4:

[0091] The embodiment of the present invention further provides a computer-readable storage medium, which can implement the grouping method based on device-side triggering described in Embodiment 1, and stores a computer program thereon, which implements the steps of the following method when the program is executed by a processor:

[0092] Check whether the group mode start condition is triggered;

[0093] In response to the group mode start condition being triggered, the brightness of the IoT lamp is adjusted to a low brightness, and the sensing data of the IoT lamp being triggered to light up by the outside world is detected in real time;

[0094] The sensing data obtained by real-time detection is periodically exchanged with other IoT lamps around through the wireless IoT network to obtain positioning data, and to detect whether the end condition of the grouping mode is triggered;

[0095] In response to the grouping mode end condition being triggered, combining the sensing data and the positioning data to determine the grouping;

[0096] In response to determining that the grouping is completed, receiving operating parameters of the IoT lamp via the wireless IoT network;

[0097] In response to the completion of receiving the operating parameters, the grouping mode is exited, the grouping data is reported to the IoT cloud platform, and the operation is performed based on the obtained operating parameters.

[0098] It is known from common technical knowledge that the present invention can be implemented by other embodiments that do not deviate from its spirit or essential features. Therefore, the above disclosed embodiments are only illustrative in all respects and are not exclusive. All changes within the scope of the present invention or within the scope equivalent to the present invention are included in the present invention.

[0099] It will be appreciated by those skilled in the art that embodiments of the present invention may be provided as methods, systems or computer program products. Therefore, the present invention may take the form of a complete hardware embodiment, a complete software embodiment or an embodiment combining software and hardware. Moreover, the present invention may take the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code.

[0100] The present invention is described with reference to flowcharts and / or block diagrams of methods, devices (systems) and computer program products according to embodiments of the present invention. It should be understood that each process and / or block in the flowchart and / or block diagram, as well as the combination of processes and / or blocks in the flowchart and / or block diagram, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, an embedded processor or other programmable data processing device to produce a machine, so that the instructions executed by the processor of the computer or other programmable data processing device generate instructions for implementing the process in the flowchart. Figure 1 A process or multiple processes and / or boxes Figure 1 A device that provides the functions specified in a block or multiple blocks.

[0101] These computer program instructions may also be stored in a computer-readable memory capable of directing a computer or other programmable data processing device to operate in a specific manner, so that the instructions stored in the computer-readable memory produce an article of manufacture comprising an instruction device, which implements the process Figure 1 A process or multiple processes and / or boxes Figure 1 A function specified in one or more boxes.

[0102] These computer program instructions can also be loaded onto a computer or other programmable data processing device so that a series of operating steps are executed on the computer or other programmable device to produce a computer-implemented process, thereby providing instructions for implementing the process in the computer or other programmable device. Figure 1 A process or multiple processes and / or boxes Figure 1 The steps for the functions specified in one or more boxes.

[0103] 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 above embodiments, ordinary technicians in the relevant field should understand that the specific implementation methods of the present invention can still be modified or replaced by equivalents. Any modification or equivalent replacement that does not depart from the spirit and scope of the present invention should be covered within the scope of protection of the claims of the present invention.

Claims

1. A grouping method based on device-side triggering, characterized in that: Executed by IoT luminaires, including: Check whether the group mode start condition is triggered; In response to the group mode start condition being triggered, the brightness of the IoT lamp is adjusted to a low brightness, and the sensing data of the IoT lamp being triggered to light up by the outside world is detected in real time; The sensing data obtained by real-time detection is periodically exchanged with other IoT lamps around through the wireless IoT network to obtain positioning data, and to detect whether the end condition of the grouping mode is triggered; In response to the grouping mode end condition being triggered, combining the sensing data and the positioning data to determine the grouping; In response to determining that the grouping is completed, receiving operating parameters of the IoT lamp via the wireless IoT network; In response to the completion of receiving the operating parameters, the grouping mode is exited, the grouping data is reported to the IoT cloud platform, and the operation is performed based on the obtained operating parameters.

2. The device-triggered grouping method according to claim 1, characterized in that: The group mode start condition includes receiving a group mode start signal sent by an external device and multiple regular power on and off.

3. The device-side triggered grouping method according to claim 1, characterized in that: The grouping mode end condition includes receiving a grouping mode end signal sent by an external device and the end of the automatic grouping operation time.

4. The device-triggered grouping method according to claim 2 or 3, characterized in that: The external devices include an IoT gateway, a mobile device and a remote controller. The IoT cloud platform can receive the reported data of the IoT lamps through the IoT gateway after the grouping mode ends, and configure the lamp grouping data before the grouping mode starts. The lamp grouping data includes the automatic grouping method, the operating parameters of each group after grouping, and the automatic grouping operating time.

5. The device-triggered grouping method according to claim 1, characterized in that: The sensing data includes the number of sensing times and sensing distances at which the IoT lamps are triggered during the movement of vehicles and / or personnel in the IoT lamp installation site.

6. The device-side triggered grouping method according to claim 1, characterized in that: The sensing data includes the number of sensing times and sensing distances at which the IoT lamps are triggered after the debugging personnel traverse all paths in the IoT lamp installation site at least once by vehicle or / and personnel.

7. The device-side triggered grouping method according to claim 1, characterized in that: The operating parameters include sensing time, sensing brightness and sensing distance.

8. A grouping system based on device-side triggering, characterized in that: include: Start detection module: used to detect whether the group mode start condition is triggered; Induction detection module: used to adjust the brightness of the IoT lamp to low brightness in response to the triggering of the group mode start condition, and to detect the induction data of the IoT lamp being triggered and lit by the external environment in real time; Data exchange module: used to periodically exchange the sensing data obtained by real-time detection with other IoT lamps around through the wireless IoT network to obtain positioning data, and to detect whether the end condition of the grouping mode is triggered; A grouping determination module: used to determine grouping by combining sensing data and positioning data in response to the triggering of the grouping mode end condition; Parameter receiving module: used for receiving the operating parameters of the IoT lamps through the wireless IoT network in response to judging that the grouping is completed; Data reporting module: used to exit the grouping mode in response to the completion of receiving the operating parameters, report the grouped data to the IoT cloud platform, and operate based on the obtained operating parameters.

9. A grouping device based on device-side triggering, characterized in that: including processor and storage medium; The storage medium is used to store instructions; The processor is configured to operate according to the instructions to execute the steps of the method according to any one of claims 1 to 7.

10. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the program is executed by a processor, the steps of the method according to any one of claims 1 to 7 are implemented.

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