Intelligent remote regulation and control method and system for lighting equipment

Abstract

The invention provides an intelligent remote regulation and control method and system for lighting equipment, and relates to the technical field of remote regulation and control of regulation and control equipment, and the method comprises the steps: constructing a regional regulation and control network, obtaining regulation and control equipment nodes and a preset regulation and control range, carrying out the environment data collection of the preset regulation and control range of the regulation and control equipment nodes, and calculating a node regulation and control coefficient of each collection level; obtaining a regulation and control comparison result, calculating a comprehensive regulation and control coefficient of a regulation and control equipment node, and obtaining a node comparison result; aggregating the nodes of the regulation and control equipment to generate aggregation nodes, calculating an aggregation regulation and control coefficient, and obtaining an aggregation comparison result; according to the aggregation comparison result, the node comparison result and the regulation and control comparison result, a regulation and control aggregation range, regulation and control equipment nodes and regulation and control collection levels are obtained, regulation and control are conducted according to a preset regulation and control strategy, regulation and control information is obtained, optimization and self-adaptive adjustment of the regulation and control process are achieved, and the regulation and control efficiency and the energy-saving effect are further improved.

Description

Technical Field

[0001] The present invention provides an intelligent remote control method and system for lighting equipment, which relates to the technical field of remote control, and specifically relates to the technical field of remote control of control equipment. Background Art

[0002] Most traditional lighting control methods rely on manual operation, which is not only inefficient but also difficult to achieve refined lighting management. To overcome this defect, the intelligent remote control technology of control equipment has emerged. However, there are still some deficiencies in the existing intelligent remote control technology of control equipment. When constructing a control network, there is often a lack of systematicness and flexibility, resulting in the inability to efficiently organize and utilize control equipment nodes. In terms of environmental data collection, traditional methods usually only focus on a single control equipment node and ignore the complex environmental factors around it, thus affecting the accuracy and effect of control. In addition, most existing control strategies are based on fixed thresholds and rules, lacking dynamics and self-adaptability, and unable to make optimal control decisions according to real-time situations. Summary of the Invention

[0003] The present invention provides an intelligent remote control method and system for lighting equipment to solve the above problems: An intelligent remote control method and system for lighting equipment proposed by the present invention, the control method includes: S1. Construct a regional control network, obtain control equipment nodes and a preset control range according to the regional control network, and collect environmental data for the preset control range of the control equipment nodes through environmental collection nodes to obtain node collection information; S2. Obtain collection level information, calculate the node control coefficient of each collection level, obtain the control comparison result of the collection level, calculate the comprehensive control coefficient of the control equipment node, and obtain the node comparison result of the control equipment node; S3. Aggregate the control equipment nodes to generate an aggregated node, calculate the aggregated control coefficient, and obtain the aggregated comparison result; S4. Obtain the control aggregation range, control equipment nodes, and control collection levels according to the aggregated comparison result, node comparison result, and control comparison result, and perform control according to a preset control strategy to obtain control information.

[0004] Further, the S1 includes: Obtain preset control area information, and then obtain control equipment information within the control area; Construct a regional control network according to the control equipment information, and perform node labeling of the control equipment on the regional control network to obtain control equipment nodes; Obtain the preset control information of each control equipment node, and determine the preset control range of the node according to the preset lighting information; Each regulation device node is provided with an environment acquisition device, and each environment acquisition device is an environment acquisition node; The environment acquisition node collects environmental data within the preset regulation range of the corresponding regulation device node to obtain node acquisition information.

[0005] Further, the S2 includes: Classify the node acquisition information according to the preset weight level to obtain multiple acquisition level information; Calculate the node regulation coefficient of each acquisition level according to each acquisition level information; Compare the node regulation coefficient of the acquisition level with the preset regulation threshold of the acquisition level to obtain the regulation comparison result of the acquisition level; Calculate the comprehensive regulation coefficient of the regulation device node according to the node regulation coefficient of each acquisition level; Compare the comprehensive regulation coefficient with the preset regulation threshold of the regulation device node to obtain the node comparison result of the regulation device node.

[0006] Further, the S3 includes: Aggregate the regulation device nodes according to the preset aggregation range to generate an aggregated node; Generate aggregated range information according to the aggregated node information; Obtain all the regulation device node data within the aggregated range information, and calculate the aggregated regulation coefficient according to all the regulation device node data; Compare the aggregated regulation coefficient with the preset aggregated regulation threshold to obtain the aggregated comparison result.

[0007] Further, the S4 includes: Perform regulation annotation on the corresponding preset aggregation range according to the aggregated comparison result to obtain a regulated aggregation range; Perform regulation annotation on the corresponding regulation device node according to the node comparison result to obtain a regulated regulation device node; Perform regulation annotation on the corresponding acquisition level according to the regulation comparison result to obtain a regulated acquisition level; Regulate the regulated acquisition levels of the regulation device nodes in the regulated aggregation range according to the preset regulation strategy until there are no regulation device nodes and regulated acquisition levels in the regulated aggregation range.

[0008] Further, the regulation system includes: A data acquisition module, configured to construct a regional regulation network, obtain regulation device nodes and preset regulation ranges according to the regional regulation network, collect environmental data within the preset regulation ranges of the regulation device nodes through environmental acquisition nodes, and obtain node acquisition information; A level node comparison module, which is used to obtain the collected level information, calculate the node regulation coefficient of each collected level, obtain the regulation comparison result of the collected level, calculate the comprehensive regulation coefficient of the regulated device node, and obtain the node comparison result of the regulated device node; An aggregation analysis module, which is used to aggregate the regulated device nodes, generate aggregated nodes, calculate the aggregated regulation coefficient, and obtain the aggregated comparison result; A hierarchical regulation module, which is used to obtain the regulation aggregation range, regulated device nodes, and regulated collection levels according to the aggregated comparison result, node comparison result, and regulation comparison result, and perform regulation according to a preset regulation strategy to obtain regulation information.

[0009] Furthermore, the data collection module includes: Obtain the preset regulation area information, and further obtain the regulated device information within the regulation area; Construct a regional regulation network according to the regulated device information, perform node labeling of the regulated devices on the regional regulation network, and obtain regulated device nodes; Obtain the preset regulation information of each regulated device node, and determine the preset regulation range of the node according to the preset information; Each regulated device node is provided with an environmental collection device, and each environmental collection device is an environmental collection node; Collect environmental data for the preset regulation range of the corresponding regulated device node through the environmental collection node to obtain node collection information.

[0010] Furthermore, the level node comparison module includes: Classify the node collection information according to a preset weight level to obtain multiple collected level information; Calculate the node regulation coefficient of each collected level according to each collected level information; Compare the node regulation coefficient of the collected level with the preset regulation threshold of the collected level to obtain the regulation comparison result of the collected level; Calculate the comprehensive regulation coefficient of the regulated device node according to the node regulation coefficient of each collected level; Compare the comprehensive regulation coefficient with the preset regulation threshold of the regulated device node to obtain the node comparison result of the regulated device node.

[0011] Furthermore, the aggregation analysis module includes: Aggregate the regulated device nodes according to a preset aggregation range to generate aggregated nodes; Generate aggregation range information according to the aggregated node information; Obtain all the regulated device node data within the aggregation range information, and calculate the aggregated regulation coefficient according to all the regulated device node data; Compare the aggregation regulation coefficient with a preset aggregation regulation threshold to obtain an aggregation comparison result.

[0012] Further, the hierarchical regulation module includes: Perform regulation annotation on the corresponding preset aggregation range according to the aggregation comparison result to obtain a regulated aggregation range; Perform regulation annotation on the corresponding regulated device node according to the node comparison result to obtain a regulated device node; Perform regulation annotation on the corresponding acquisition level according to the regulation comparison result to obtain a regulated acquisition level; The regulated acquisition level of the regulated device node of the obtained regulated aggregation range is regulated according to a preset regulation strategy until there are no regulated device nodes and regulated acquisition levels in the regulated aggregation range.

[0013] Advantages of the present invention: Through intelligent remote regulation, the regulation device can be precisely adjusted according to real-time environmental data, thereby improving lighting efficiency. Avoid situations of over-illumination or under-illumination, and reduce energy consumption. Adjust lighting according to environmental conditions and user needs to provide a more comfortable light environment. For example, increase the lighting brightness in areas with high pedestrian flow and reduce the lighting brightness in areas with low pedestrian flow. Through intelligent regulation, achieve the on-demand turning on and off of regulation devices, reducing energy consumption. In the long run, it helps to reduce carbon emissions and promote sustainable development. Centralize the management and control of regulation devices to reduce operation and maintenance costs. Lighting problems can be discovered and solved in a timely manner through remote monitoring and data analysis. The system has good scalability and can easily add new regulated device nodes and environmental acquisition nodes. Description of the Drawings

[0014] Figure 1 It is a schematic diagram of an intelligent remote regulation method for a lighting device; Figure 2 It is a schematic diagram of a preset aggregation range. Detailed Embodiments

[0015] The following describes the preferred embodiments of the present invention with reference to the accompanying drawings. It should be understood that the preferred embodiments described herein are only used to illustrate and explain the present invention and are not used to limit the present invention.

[0016] In one embodiment of the present invention, an intelligent remote regulation method and system for a lighting device are proposed. The regulation method includes: S1. Construct a regional regulation network, obtain regulated device nodes and a preset regulation range according to the regional regulation network, and collect environmental data for the preset regulation range of the regulated device nodes through environmental acquisition nodes to obtain node acquisition information; S2. Obtain the collection level information, calculate the node regulation coefficients for each collection level, obtain the regulation comparison results for the collection levels, calculate the comprehensive regulation coefficients for the regulation device nodes, and obtain the node comparison results for the regulation device nodes; S3. Aggregate the regulation device nodes to generate aggregated nodes, calculate the aggregated regulation coefficients, and obtain the aggregated comparison results; S4. Obtain the regulation aggregation range, the regulation device nodes, and the regulation collection levels according to the aggregated comparison results, the node comparison results, and the regulation comparison results, and perform regulation according to the preset regulation strategy to obtain regulation information, as Figure 1 shown.

[0017] The working principle of the above technical solution is as follows: A lighting network covering a specific area is established. The network consists of multiple regulation device nodes (lighting devices that need to be monitored and regulated), and each node has its preset regulation range. Through these regulation device nodes, an interconnected network can be formed for centralized management and control. Within the preset regulation range of the regulation device nodes, environmental collection nodes are set up to collect environmental data in real time (such as light intensity, color temperature, environmental brightness, pedestrian flow, etc.). These environmental data are collected and converted into node collection information. According to the collected environmental data, the node regulation coefficients for different collection levels (the different collection levels are the respective weight data of multiple different collection types) are obtained. The regulation coefficient reflects the degree of demand for adjusting the regulation device under different environmental conditions at different levels. By comparing the regulation coefficients of different collection levels, the regulation comparison results are obtained. For each regulation device node, a comprehensive regulation coefficient is calculated by combining the regulation coefficients of all its relevant collection levels. By comparing the comprehensive regulation coefficients of different regulation device nodes, the node comparison results are obtained. The regulation device nodes with similar regulation requirements or adjacent ranges (preset rules) are aggregated to form aggregated nodes. The regulation coefficients of the aggregated nodes are calculated to reflect the regulation requirements of the entire aggregated area. By comparing the regulation coefficients of different aggregated nodes, the aggregated comparison results are obtained. According to the aggregated comparison results, the node comparison results, and the regulation comparison results, the regulation aggregation range (i.e., which areas need to be adjusted), the regulation device nodes (i.e., which regulation devices need to be adjusted), and the regulation collection levels (which weight categories need to be adjusted) are determined. According to the preset regulation strategy (such as energy-saving strategy, comfort strategy, etc.), the regulation devices are remotely regulated. After the regulation is completed, the regulation information is obtained.

[0018] The technical effects of the above technical solution are as follows: Through intelligent remote control, the control equipment can be precisely adjusted according to real-time environmental data, thereby improving lighting efficiency. Avoid over-illumination or under-illumination situations and reduce energy consumption. Adjust lighting according to environmental conditions and user needs to provide a more comfortable light environment. For example, increase the lighting brightness in areas with high pedestrian flow and reduce the lighting brightness in areas with low pedestrian flow. Through intelligent control, the on and off of the control equipment can be realized on demand, reducing energy consumption. In the long run, it helps to reduce carbon emissions and promote sustainable development. Centralize the management and control of the control equipment to reduce operation and maintenance costs. Lighting problems can be detected and solved in a timely manner through remote monitoring and data analysis. The system has good scalability and can easily add new control equipment nodes and environmental acquisition nodes.

[0019] In one embodiment of the present invention, S1 includes: Obtain the preset control area information, and then obtain the control equipment information within the control area; Construct a regional control network according to the control equipment information, perform node labeling of the control equipment on the regional control network, and obtain control equipment nodes; Obtain the preset control information of each control equipment node, and determine the preset control range of the node according to the preset lighting information; Each control equipment node is provided with an environmental acquisition device, and each environmental acquisition device is an environmental acquisition node; Collect environmental data for the preset control range of the corresponding control equipment node through the environmental acquisition node to obtain node acquisition information.

[0020] The working principle of the above technical solution is as follows: Define the control area that needs to be intelligently and remotely controlled. The preset control area information defines the boundaries and scope of the control. The scope can be the range from the node to the collection boundary / control boundary, or the range extending outward from the boundary; within the determined control area, identify and collect information on all control devices, including device type, location, power, control method, etc. This information is used to construct a regional control network. According to the collected control device information, construct an illumination network that covers the entire control area. In the network, each control device is regarded as a node and is labeled. For each control device node, determine its preset control range according to its type, location, and functional requirements. The preset control range defines the area that the control device should cover, as well as parameters such as the illumination intensity and color temperature that should be achieved in this area. Set environmental collection devices within the preset control range of each control device node. These environmental collection devices are used to monitor environmental parameters in real time, such as illumination intensity, color temperature, environmental brightness, and pedestrian flow. Each environmental collection device is regarded as an environmental collection node and is associated with the corresponding control device node. Through the environmental collection node, environmental data collection is carried out for the preset control range of the corresponding control device node. The collected data includes real-time parameters such as illumination intensity and color temperature, as well as information such as pedestrian flow that indirectly affects the lighting demand.

[0021] The technical effects of the above technical solution are as follows: Through environmental collection devices and intelligent remote control technology, the lighting system can be adaptively adjusted according to real-time environmental data. This not only improves the intelligent level of the lighting control system, but also enhances the flexibility and response speed of the system. According to the preset control range and environmental collection data, the lighting system can accurately adjust parameters such as the illumination intensity and color temperature of each control device, which can optimize the lighting effect. The intelligent remote control method can adjust the power and working time of the control device according to actual needs. This can reduce energy consumption, reduce carbon emissions, and achieve the goal of energy conservation and emission reduction. Centralized management and control of control devices reduce the operation and maintenance costs. Real-time environmental data and device status information can be used for fault warning and remote maintenance, improving the reliability and stability of the system. The system has good scalability and flexibility, and new control device nodes and environmental collection nodes can be easily added.

[0022] In one embodiment of the present invention, S2 includes: Classify the node collection information according to the preset weight level to obtain multiple collection level information; Calculate the node control coefficient of each collection level according to each collection level information; The calculation formula of the node control coefficient is:

[0023] Among them, ZMX is the node regulation coefficient of the collection level, W d is the preset weight data of the collection level, C d is the environmental collection data of the collection level, CY d is the environmental collection threshold of the collection level, D d is the collection data of the regulation equipment node of the collection level, DY d is the preset data of the regulation collection node of the collection level, j is the total number of collection levels, W i is the preset weight data of the i-th collection level; Compare the node regulation coefficient of the collection level with the preset regulation threshold of the collection level to obtain the regulation comparison result of the collection level; Calculate the comprehensive regulation coefficient of the regulation equipment node according to the node regulation coefficient of each collection level; The calculation formula of the comprehensive regulation coefficient is:

[0024] Among them, ZHX is the comprehensive regulation coefficient of the regulation equipment node, W a is the preset weight data of the regulation equipment node, PZMX a is the average node regulation coefficient of all collection levels of the regulation equipment node, PZMX y is the preset average coefficient threshold of all collection levels of the regulation equipment node, e is the total number of regulation equipment nodes, W q is the preset weight data of the q-th regulation equipment node; Compare the comprehensive regulation coefficient with the preset regulation threshold of the regulation equipment node to obtain the node comparison result of the regulation equipment node.

[0025] The working principle of the above technical solution is as follows: According to the preset weight levels, the environmental data obtained from the environmental collection nodes is classified. The weight levels are set based on the importance of the data collection types, the impact on lighting control, or other relevant factors. The classified data is grouped into multiple collection level information, and each level represents different data priorities or importance. For each collection level information, a node control coefficient is calculated. The node control coefficient reflects the degree of control demand for controlling the control device under the current environmental conditions of different data collection types. The control coefficient is used to represent the control demands in different aspects (such as brightness, color temperature, etc.). The node control coefficient of each collection level is compared with the preset control threshold. For each control device node, a comprehensive control coefficient is calculated based on the node control coefficients of all its relevant collection levels. The comprehensive control coefficient comprehensively considers the influence of multiple environmental parameters on the control device and reflects the overall control demand. The comprehensive control coefficient is compared with the preset control threshold of the control device node. Similar to the control comparison of the collection levels, the result of the node comparison is used to determine whether to control the control device node and the priority or urgency of the control.

[0026] The technical effects of the above technical solution are as follows: Through classification processing and comprehensive calculation, refined control of the control device is achieved. The lighting parameters can be flexibly adjusted according to different environmental conditions and actual needs to improve the lighting effect and energy-saving effect. Through the preset weight levels and control thresholds, it is possible to quickly determine whether control is needed and the control priority. This can reduce unnecessary control operations and improve the control efficiency and response speed. Based on the real-time environmental data and the comprehensive control coefficient, a more comfortable and energy-saving lighting experience can be provided for users. For example, increasing the lighting brightness in darker areas and reducing the lighting brightness in well-lit areas to match the environmental changes. Refined control helps to reduce energy consumption and carbon emissions. By avoiding over-illumination and unnecessary lighting, the goal of energy conservation and emission reduction can be achieved. This method has good scalability and flexibility and can adapt to lighting systems of different scales and complex environmental conditions. Through the node control coefficient, the proportion of the data difference coefficient of the same collection level in the environmental data and the control device node in all collection levels can be calculated. The larger the proportion, the larger the control coefficient.

[0027] In one embodiment of the present invention, S3 includes: Aggregate the control device nodes according to the preset aggregation range to generate aggregate nodes; Generate aggregate range information based on the aggregate node information, such as Figure 2 shown.

[0028] Obtain all the control device node data within the aggregate range information, and calculate the aggregate control coefficient based on all the control device node data; The calculation formula of the aggregation regulation coefficient is as follows:

[0029] where JHX is the aggregation regulation coefficient, and W u is the preset weight data of the aggregation range information, and PZHX u is the average comprehensive regulation coefficient of all regulation device nodes of the aggregation range information, and PZHX y is the preset node average coefficient threshold of all regulation device nodes of the aggregation range information, k is the total number of aggregation ranges, and W v is the preset weight data of the v-th aggregation range information; Compare the aggregation regulation coefficient with the preset aggregation regulation threshold to obtain an aggregation comparison result.

[0030] The working principle of the above technical solution is as follows: According to the preset aggregation rules or ranges, the regulation device nodes distributed at different positions or performing different functions are grouped. These groups are formed based on geographical location, functional area, lighting requirements, or other relevant factors to form aggregation nodes. Each aggregation node represents a specific lighting area or function set. According to the definition and configuration of the aggregation node, the system generates the specific range covered by each aggregation node. This range may be a geographical area, a floor, a room, or a specific lighting scene. The aggregation range is used to determine which regulation device nodes belong to the aggregation node. The system regularly or real-time collects data from the regulation device nodes within each aggregation range information. These data may include light intensity, color temperature, energy consumption, working hours, fault status, etc. Data collection can be achieved through wired or wireless methods using communication protocols (such as Zigbee, LoRa, Wi-Fi, etc.). According to the collected data of the regulation device nodes, the system calculates the aggregation regulation coefficient of each aggregation node. The aggregation regulation coefficient is a comprehensive index reflecting the overall regulation demand or priority of the regulation devices within the entire aggregation range information. The system compares the calculated aggregation regulation coefficient with the preset aggregation regulation threshold. The aggregation regulation threshold is set according to actual requirements, lighting standards, energy-saving goals, etc., and is used to determine whether it is necessary to regulate the regulation devices. If the aggregation regulation coefficient exceeds the threshold, a regulation action is triggered; otherwise, the current state is maintained or fine-tuned.

[0031] The technical effects of the above technical solution are as follows: Through the setting of aggregation nodes and aggregation ranges, the system can manage and control a large number of control devices more efficiently. This reduces the complexity of individual device control and improves the overall control response speed and accuracy. Aggregate control can make overall adjustments according to the lighting requirements within the entire aggregation range information, achieving a more uniform and comfortable lighting effect. This can enhance the user experience and satisfaction, especially in large public areas or complex lighting scenarios. Through aggregate control, the system can flexibly adjust the power and working hours of control devices according to actual needs, reducing energy consumption. This can reduce carbon emissions and achieve the goals of green lighting and sustainable development. The setting of aggregation nodes and aggregation ranges makes the management and maintenance of the lighting system simpler and more intuitive. Administrators can quickly understand the operation status and control requirements of the entire lighting system by monitoring the status and data of aggregation nodes. This method has good scalability and flexibility and can adapt to lighting systems of different scales and complex environmental conditions.

[0032] In one embodiment of the present invention, S4 includes: Performing a control annotation on the corresponding preset aggregation range according to the aggregation comparison result to obtain a controlled aggregation range; Performing a control annotation on the corresponding control device node according to the node comparison result to obtain a controlled device node; Performing a control annotation on the corresponding acquisition level according to the control comparison result to obtain a controlled acquisition level; The controlled acquisition level of the controlled device node of the controlled aggregation range is controlled according to a preset control strategy until there are no controlled device nodes and controlled acquisition levels in the controlled aggregation range.

[0033] The working principle of the above technical solution is as follows: According to the result of aggregation comparison, the aggregation ranges that meet the regulation conditions are marked to form regulated aggregation ranges. These ranges represent the lighting areas or function sets that need to be uniformly regulated. For each regulated device node, according to its comparison result, the nodes that meet the regulation conditions are marked to form regulated device nodes. These nodes represent the regulated devices that need to be regulated individually or specially. According to the regulation comparison result of the acquisition level, the acquisition levels that meet the regulation conditions are marked to form regulated acquisition levels. These levels represent the priorities or categories that need to be regulated based on specific environmental data or conditions. Obtain the regulated acquisition levels of the regulated device nodes in the regulated aggregation ranges: Combine the above three marking results to determine which device nodes are within which aggregation range information and their corresponding regulated acquisition levels. According to the information of the regulated aggregation ranges, regulated device nodes, and regulated acquisition levels, apply a preset regulation strategy to perform lighting regulation. The regulation strategy may include adjusting brightness, color temperature, switch state, etc. Continuously monitor the regulation result, and repeat the above regulation process as needed until there are no more device nodes and acquisition levels to be regulated within the regulated aggregation range information.

[0034] The technical effects of the above technical solution are as follows: Through the regulation marking of the aggregation range, device nodes, and acquisition levels, precise regulation of the lighting system is achieved. This can meet the lighting effects under different regions, different times, and different lighting requirements. The precise regulation strategy can avoid unnecessary lighting energy consumption, especially in scenarios where dynamic adjustment of lighting conditions is required. This helps to achieve the goal of energy conservation and emission reduction and reduce operating costs. Through intelligent regulation, the lighting system can provide a comfortable lighting effect according to different environmental conditions and user needs. The regulation marking and regulation strategy make the management and maintenance of the lighting system simpler and more intuitive. The administrator can easily monitor and adjust the operating state of the system to ensure that the lighting effect meets the expectations. This method has good scalability and flexibility and can adapt to lighting systems of different scales and complex environmental conditions. With the development of technology and the change of requirements, parameters such as the regulation strategy, aggregation range, device node, and acquisition level can be easily adjusted to meet new application scenarios and requirements. Through the intelligent regulation system, automatic control of the regulated devices is achieved. This reduces the need for manual intervention, improves the stability and reliability of the system. At the same time, the intelligent regulation system can continuously optimize the regulation strategy based on historical data and real-time feedback to improve the regulation effect.

[0035] In an embodiment of the present invention, the regulation system includes: A data acquisition module, configured to construct a regional regulation network, obtain regulated device nodes and a preset regulation range according to the regional regulation network, and collect environmental data for the preset regulation range of the regulated device nodes through environmental acquisition nodes to obtain node acquisition information; A level node comparison module, which is used to obtain the collected level information, calculate the node regulation coefficient of each collection level, obtain the regulation comparison result of the collection level, calculate the comprehensive regulation coefficient of the regulation device node, and obtain the node comparison result of the regulation device node; An aggregation analysis module, which is used to aggregate the regulation device nodes, generate aggregated nodes, calculate the aggregated regulation coefficient, and obtain the aggregated comparison result; A hierarchical regulation module, which is used to obtain the regulation aggregation range, the regulation device node, and the regulation collection level according to the aggregated comparison result, the node comparison result, and the regulation comparison result, and perform regulation according to a preset regulation strategy to obtain regulation information.

[0036] The working principle of the above technical solution is as follows: A lighting network covering a specific area is established. The network consists of multiple regulation device nodes, and each node has its preset regulation range. Through these regulation device nodes, an interconnected network can be formed for centralized management and control. Within the preset regulation range of the regulation device node, environmental collection nodes are set to collect environmental data in real time (such as light intensity, color temperature, environmental brightness, pedestrian flow, etc.). These environmental data are collected and converted into node collection information. According to the collected environmental data, the node regulation coefficients of different collection levels (the different collection levels are the respective weight data of multiple different collection types) are obtained. The regulation coefficient reflects the degree of demand for adjusting the regulation device under different environmental conditions at different levels. By comparing the regulation coefficients of different collection levels, the regulation comparison result is obtained. For each regulation device node, a comprehensive regulation coefficient is calculated by combining the regulation coefficients of all its relevant collection levels. By comparing the comprehensive regulation coefficients of different regulation device nodes, the node comparison result is obtained. The regulation device nodes with similar regulation requirements or similar ranges (preset rules) are aggregated to form aggregated nodes. The regulation coefficient of the aggregated node is calculated to reflect the lighting requirements of the entire aggregated area. By comparing the regulation coefficients of different aggregated nodes, the aggregated comparison result is obtained. According to the aggregated comparison result, the node comparison result, and the regulation comparison result, the regulation aggregation range (i.e., which areas need to be adjusted), the regulation device node (i.e., which regulation devices need to be adjusted), and the regulation collection level (which weight categories need to be adjusted) are determined. According to the preset regulation strategy (such as energy-saving strategy, comfort strategy, etc.), the regulation device is remotely regulated. After the regulation is completed, the regulation information is obtained.

[0037] The technical effects of the above technical solution are as follows: Through intelligent remote control, the control equipment can be precisely adjusted according to real-time environmental data, thereby improving lighting efficiency. It avoids over-illumination or under-illumination situations and reduces energy consumption. Lighting adjustment is carried out according to environmental conditions and user needs to provide a more comfortable light environment. For example, the lighting brightness is increased in areas with a large flow of people and decreased in areas with a small flow of people. Through intelligent control, the on and off of the control equipment is realized on demand, reducing energy consumption. In the long run, it helps to reduce carbon emissions and promote sustainable development. Centralized management and control of the control equipment reduce operation and maintenance costs. Lighting problems can be detected and solved in a timely manner through remote monitoring and data analysis. The system has good scalability and can easily add new control equipment nodes and environmental acquisition nodes.

[0038] In an embodiment of the present invention, the data acquisition module includes: Obtain the preset control area information, and then obtain the control equipment information within the control area; Construct a regional control network according to the control equipment information, and perform node labeling of the control equipment on the regional control network to obtain control equipment nodes; Obtain the preset control information of each control equipment node, and determine the preset control range of the node according to the preset lighting information; An environmental acquisition device is provided for each control equipment node, and each environmental acquisition device is an environmental acquisition node; Collect environmental data for the preset control range of the corresponding control equipment node through the environmental acquisition node to obtain node acquisition information.

[0039] The working principle of the above technical solution is as follows: Determine the lighting area that needs to be intelligently and remotely controlled. The preset control area information defines the boundaries and scope of the control. Within the determined control area, identify and collect information on all control devices, including device type, location, power, control method, etc. This information is used to construct a regional control network. Based on the collected control device information, construct a lighting network that covers the entire control area. In the network, each control device is regarded as a node and is labeled. For each control device node, determine its preset control range according to its type, location, and functional requirements. The preset control range defines the area that the control device should cover, as well as parameters such as the light intensity and color temperature that should be achieved in this area. Set environmental collection devices within the preset control range of each control device node. These environmental collection devices are used to monitor environmental parameters in real time, such as light intensity, color temperature, ambient brightness, and pedestrian flow. Each environmental collection device is regarded as an environmental collection node and is associated with the corresponding control device node. Through the environmental collection node, environmental data collection is carried out for the preset control range of the corresponding control device node. The collected data includes real-time parameters such as light intensity and color temperature, as well as information such as pedestrian flow that indirectly affects lighting requirements.

[0040] The technical effects of the above technical solution are as follows: Through environmental collection devices and intelligent remote control technology, the lighting system can be adaptively adjusted according to real-time environmental data. This not only improves the intelligence level of the lighting system but also enhances the flexibility and response speed of the system. According to the preset control range and environmental collection data, the lighting system can accurately adjust parameters such as the light intensity and color temperature of each control device, which can optimize the lighting effect. The intelligent remote control method can adjust the power and working time of the control device according to actual needs. This can reduce energy consumption, reduce carbon emissions, and achieve the goal of energy conservation and emission reduction. Centralized management and control of control devices reduce the operation and maintenance costs. Real-time environmental data and device status information can be used for fault warning and remote maintenance, improving the reliability and stability of the system. The system has good scalability and flexibility, and new control device nodes and environmental collection nodes can be added conveniently.

[0041] In an embodiment of the present invention, the level node comparison module includes: Classify the node collection information according to the preset weight level to obtain multiple collection level information; Calculate the node control coefficient of each collection level according to each collection level information; The calculation formula of the node control coefficient is:

[0042] Among them, ZMX is the node control coefficient of the collection level, W d is the weight data of the collection level, Cd Environmental acquisition data for the acquisition level, CY d Environmental acquisition threshold for the acquisition level, D d Regulation device node acquisition data for the acquisition level, DY d Preset data for the regulation acquisition node of the acquisition level, j is the total number of acquisition levels, W i Weight data for the i-th acquisition level; Compare the node regulation coefficient of the acquisition level with the preset regulation threshold of the acquisition level to obtain the regulation comparison result of the acquisition level; Calculate the comprehensive regulation coefficient of the regulation device node according to the node regulation coefficient of each acquisition level; The calculation formula of the comprehensive regulation coefficient is:

[0043] Among them, ZHX is the comprehensive regulation coefficient of the regulation device node, W a Preset weight data for the regulation device node, PZMX a Average node regulation coefficient of all acquisition levels of the regulation device node, PZMX y Preset average coefficient threshold of all acquisition levels of the regulation device node, e is the total number of regulation device nodes, W q Preset weight data for the q-th regulation device node; Compare the comprehensive regulation coefficient with the preset regulation threshold of the regulation device node to obtain the node comparison result of the regulation device node.

[0044] The working principle of the above technical solution is as follows: According to the preset weight levels, the environmental data obtained from the environmental acquisition nodes is classified. The weight levels are set based on the importance of the data acquisition types, the influence degree on lighting control, or other relevant factors. The classified data is categorized into multiple acquisition level information, and each level represents different data priorities or importance. For each acquisition level information, a node regulation coefficient is calculated. The node regulation coefficient reflects the degree of regulation demand for regulating the regulating device under the current environmental conditions of different data acquisition types. The regulation coefficient is used to represent the regulation demands in different aspects (such as brightness, color temperature, etc.). The node regulation coefficient of each acquisition level is compared with the preset regulation threshold. For each regulating device node, a comprehensive regulation coefficient is calculated based on the node regulation coefficients of all its relevant acquisition levels. The comprehensive regulation coefficient comprehensively considers the influence of multiple environmental parameters on the regulating device and reflects the overall regulation demand. The comprehensive regulation coefficient is compared with the preset regulation threshold of the regulating device node. Similar to the regulation comparison of the acquisition levels, the result of the node comparison is used to determine whether to regulate the regulating device node and the priority or urgency of the regulation.

[0045] The technical effects of the above technical solution are as follows: Through classification processing and comprehensive calculation, refined regulation of the regulating device is achieved. The lighting parameters can be flexibly adjusted according to different environmental conditions and actual needs to improve the lighting effect and energy-saving effect. Through the preset weight levels and regulation thresholds, it can be quickly determined whether regulation is needed and the priority of the regulation. This can reduce unnecessary regulation operations and improve the regulation efficiency and response speed. According to the real-time environmental data and the comprehensive regulation coefficient, a more comfortable and energy-saving lighting experience can be provided for users. For example, increasing the lighting brightness in a dim area and reducing the lighting brightness in a well-lit area to match the environmental changes. The refined regulation helps to reduce energy consumption and carbon emissions. By avoiding over-illumination and unnecessary lighting, the goal of energy conservation and emission reduction can be achieved. This method has good scalability and flexibility and can adapt to lighting systems of different scales and complex environmental conditions.

[0046] In an embodiment of the present invention, the aggregation analysis module includes: Aggregate the regulating device nodes according to the preset aggregation range to generate aggregate nodes; Generate aggregate range information according to the aggregate node information; Obtain all the regulating device node data within the aggregate range information, and calculate the aggregate regulation coefficient according to all the regulating device node data; The calculation formula of the aggregate regulation coefficient is:

[0047] Where JHX is the aggregate regulation coefficient, Wu is the preset weight data for the aggregation range information, PZHX u is the average comprehensive regulation coefficient of all regulation device nodes for the aggregation range information, PZHX y is the preset node average coefficient threshold of all regulation device nodes for the aggregation range information, k is the total number of aggregation ranges, W v is the preset weight data for the v-th aggregation range information; Compare the aggregation regulation coefficient with a preset aggregation regulation threshold to obtain an aggregation comparison result.

[0048] The working principle of the above technical solution is as follows: According to preset aggregation rules or ranges, regulation device nodes distributed at different positions or performing different functions are grouped. These groups are formed based on geographical location, functional area, lighting requirements, or other relevant factors to form individual aggregation nodes. Each aggregation node represents a specific lighting area or function set. According to the definition and configuration of the aggregation node, the system generates the specific range covered by each aggregation node. This range may be a geographical area, a floor, a room, or a specific lighting scene. The aggregation range is used to determine which regulation device nodes belong to the aggregation node. The system regularly or real-time collects data from the regulation device nodes within each aggregation range information. This data may include light intensity, color temperature, energy consumption, working hours, fault status, etc. Data collection can be achieved through wired or wireless means using communication protocols (such as Zigbee, LoRa, Wi-Fi, etc.). Based on the collected regulation device node data, the system calculates the aggregation regulation coefficient for each aggregation node. The aggregation regulation coefficient is a comprehensive indicator reflecting the overall regulation demand or priority of the regulation devices within the entire aggregation range information. The system compares the calculated aggregation regulation coefficient with a preset aggregation regulation threshold. The aggregation regulation threshold is set according to actual requirements, lighting standards, energy-saving goals, etc., and is used to determine whether it is necessary to regulate the regulation devices. If the aggregation regulation coefficient exceeds the threshold, a regulation action is triggered; otherwise, the current state is maintained or fine-tuned.

[0049] The technical effects of the above technical solution are as follows: By setting the aggregation nodes and aggregation ranges, the system can manage and control a large number of control devices more efficiently. This reduces the complexity of individual device control and improves the overall control response speed and accuracy. Aggregate control can make overall adjustments according to the lighting requirements within the entire aggregation range information, achieving a more uniform and comfortable lighting effect. This can enhance the user experience and satisfaction, especially in large public areas or complex lighting scenarios. Through aggregate control, the system can flexibly adjust the power and working hours of control devices according to actual needs, reducing energy consumption. This can reduce carbon emissions and achieve the goals of green lighting and sustainable development. The settings of the aggregation nodes and aggregation ranges make the management and maintenance of the lighting system simpler and more intuitive. Administrators can quickly understand the operating conditions and control requirements of the entire lighting system by monitoring the status and data of the aggregation nodes. This method has good scalability and flexibility and can adapt to lighting systems of different scales and complex environmental conditions.

[0050] In one embodiment of the present invention, the hierarchical control module includes: Perform control annotation on the corresponding preset aggregation range according to the aggregation comparison result to obtain the controlled aggregation range; Perform control annotation on the corresponding control device node according to the node comparison result to obtain the controlled device node; Perform control annotation on the corresponding acquisition level according to the control comparison result to obtain the controlled acquisition level; The controlled acquisition levels of the controlled device nodes in the obtained controlled aggregation range are controlled according to the preset control strategy until there are no controlled device nodes and controlled acquisition levels in the controlled aggregation range.

[0051] The working principle of the above technical solution is as follows: According to the result of the aggregation comparison, the aggregation ranges that meet the regulation conditions are marked to form regulated aggregation ranges. These ranges represent the lighting areas or function sets that need to be uniformly regulated. For each regulation device node, according to its comparison result, the nodes that meet the regulation conditions are marked to form regulated device nodes. These nodes represent the regulation devices that need to be regulated individually or specially. According to the regulation comparison result of the acquisition level, the acquisition levels that meet the regulation conditions are marked to form regulated acquisition levels. These levels represent the priorities or categories that need to be regulated based on specific environmental data or conditions. Obtain the regulated acquisition levels of the regulation device nodes in the regulated aggregation ranges: Combine the above three marking results to determine which device nodes are within which aggregation range information and their corresponding regulated acquisition levels. According to the information of the regulated aggregation ranges, regulated device nodes, and regulated acquisition levels, apply a preset regulation strategy to perform lighting regulation. The regulation strategy may include adjusting brightness, color temperature, switch state, etc. Continuously monitor the regulation result, and repeat the above regulation process as needed until there are no longer device nodes and acquisition levels that need to be regulated within the regulated aggregation range information.

[0052] The technical effects of the above technical solution are as follows: Through the regulation marking of the aggregation range, device nodes, and acquisition level, precise regulation of the lighting system is achieved. This can meet the lighting effects under different regions, different times, and different lighting requirements. The precise regulation strategy can avoid unnecessary lighting energy consumption, especially in scenarios where lighting conditions need to be dynamically adjusted. This helps to achieve the goal of energy conservation and emission reduction and reduce operating costs. Through intelligent regulation, the lighting system can provide a comfortable lighting effect according to different environmental conditions and user needs. The regulation marking and regulation strategy make the management and maintenance of the lighting system simpler and more intuitive. The administrator can easily monitor and adjust the operation status of the system to ensure that the lighting effect meets the expectations. This method has good scalability and flexibility and can adapt to lighting systems of different scales and complex environmental conditions. With the development of technology and the change of requirements, it is convenient to adjust parameters such as the regulation strategy, aggregation range, device node, and acquisition level to meet new application scenarios and requirements. Through the intelligent regulation system, automatic control of the regulation devices is achieved. This reduces the need for manual intervention, improves the stability and reliability of the system. At the same time, the intelligent regulation system can continuously optimize the regulation strategy based on historical data and real-time feedback to improve the regulation effect.

[0053] Obviously, those skilled in the art can make various changes and deformations to the present invention without departing from the spirit and scope of the present invention. Thus, if these modifications and deformations of the present invention fall within the scope of the claims of the present invention and their equivalent technologies, the present invention also intends to include these changes and deformations.

Claims

1. A method for intelligent remote control of lighting equipment, characterized in that: The control method comprises: S1. Build a regional control network, obtain control device nodes and preset control ranges according to the regional control network, collect environmental data of the preset control range of the control device nodes through the environment collection node, and obtain node collection information; S2. Obtaining acquisition level information, calculating the node control coefficient of each acquisition level, obtaining the control comparison result of the acquisition level, calculating the comprehensive control coefficient of the control device node, and obtaining the node comparison result of the control device node; S3, aggregate the control device nodes, generate aggregate nodes, calculate the aggregate control coefficient, and obtain the aggregate comparison result; S4. Obtain the control aggregation range, control device nodes and control collection level according to the aggregation comparison results, node comparison results and control comparison results, perform control according to the preset control strategy, and obtain control information.

2. According to claim 1, a lighting equipment intelligent remote control method is characterized in that: The S1 includes: Obtaining preset control area information, and then obtaining control device information within the control area; Constructing a regional control network according to the control device information, marking nodes of the control devices on the regional control network, and obtaining control device nodes; Obtaining preset control information of each control device node, and determining a preset control range of the node according to the preset control information; Each control device node is equipped with an environment collection device, and each environment collection device is an environment collection node; The environment data of the preset control range of the corresponding control device node is collected through the environment collection node to obtain node collection information.

3. According to claim 1, a lighting equipment intelligent remote control method is characterized in that: The S2 includes: Classify the node collection information according to the preset weight level to obtain multiple collection level information; Calculate the node control coefficient of each collection level according to the information of each collection level; Compare the node control coefficient of the acquisition level with the preset control threshold of the acquisition level to obtain the control comparison result of the acquisition level; Calculate the comprehensive control coefficient of the control device node according to the node control coefficient of each acquisition level; The comprehensive control coefficient is compared with a preset control threshold of the control device node to obtain a node comparison result of the control device node.

4. According to claim 1, a lighting equipment intelligent remote control method is characterized in that: The S3 includes: Aggregate the control device nodes according to the preset aggregation range to generate an aggregation node; Generate aggregation range information according to the aggregation node information; Obtain all control device node data within the aggregation range information, and calculate the aggregation control coefficient based on all control device node data; The aggregation control coefficient is compared with a preset aggregation control threshold to obtain an aggregation comparison result.

5. According to claim 1, a lighting equipment intelligent remote control method is characterized in that: The S4 includes: According to the aggregation comparison result, the corresponding preset aggregation range is regulated and marked to obtain the regulated aggregation range; According to the node comparison result, the corresponding control device node is regulated and marked to obtain the control device node; According to the control comparison result, the corresponding collection level is regulated and marked to obtain the control collection level; The control collection level of the control device node in the control aggregation range is obtained and controlled according to the preset control strategy until there is no control device node and control collection level in the control aggregation range.

6. An intelligent remote control system for lighting equipment, characterized in that: The control system comprises: The data collection module is used to build a regional control network, obtain control device nodes and preset control ranges according to the regional control network, collect environmental data of the preset control range of the control device nodes through the environment collection node, and obtain node collection information; A level node comparison module is used to obtain acquisition level information, calculate the node control coefficient of each acquisition level, obtain the control comparison result of the acquisition level, calculate the comprehensive control coefficient of the control device node, and obtain the node comparison result of the control device node; Aggregation analysis module, used to aggregate control device nodes, generate aggregate nodes, calculate aggregate control coefficients, and obtain aggregate comparison results; The hierarchical control module is used to obtain the control aggregation range, control device nodes and control collection level according to the aggregation comparison results, node comparison results and control comparison results, and perform control according to the preset control strategy to obtain control information.

7. According to claim 6, the intelligent remote control system for lighting equipment is characterized in that: The data acquisition module comprises: Obtaining preset control area information, and then obtaining control device information within the control area; Constructing a regional control network according to the control device information, marking nodes of the control devices on the regional control network, and obtaining control device nodes; Obtaining preset control information of each control device node, and determining a preset control range of the node according to the preset control information; Each control device node is equipped with an environment collection device, and each environment collection device is an environment collection node; The environment data of the preset control range of the corresponding control device node is collected through the environment collection node to obtain node collection information.

8. According to claim 6, the intelligent remote control system for lighting equipment is characterized in that: The level node comparison module includes: Classify the node collection information according to the preset weight level to obtain multiple collection level information; Calculate the node control coefficient of each collection level according to the information of each collection level; Compare the node control coefficient of the acquisition level with the preset control threshold of the acquisition level to obtain the control comparison result of the acquisition level; Calculate the comprehensive control coefficient of the control device node according to the node control coefficient of each acquisition level; The comprehensive control coefficient is compared with a preset control threshold of the control device node to obtain a node comparison result of the control device node.

9. The intelligent remote control system for lighting equipment according to claim 6, characterized in that: The aggregation analysis module includes: Aggregate the control device nodes according to the preset aggregation range to generate an aggregation node; Generate aggregation range information according to the aggregation node information; Obtain all control device node data within the aggregation range information, and calculate the aggregation control coefficient based on all control device node data; The aggregation control coefficient is compared with a preset aggregation control threshold to obtain an aggregation comparison result.

10. The intelligent remote control system for lighting equipment according to claim 6, characterized in that: The hierarchical control module includes: According to the aggregation comparison result, the corresponding preset aggregation range is regulated and marked to obtain the regulated aggregation range; According to the node comparison result, the corresponding control device node is regulated and marked to obtain the control device node; According to the control comparison result, the corresponding collection level is regulated and marked to obtain the control collection level; The control collection level of the control device node in the control aggregation range is obtained and controlled according to the preset control strategy until there is no control device node and control collection level in the control aggregation range.

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