Intelligent lamp networking configuration method and system based on artificial intelligence

Abstract

The invention discloses an intelligent lamp networking configuration method and system based on artificial intelligence, relates to the technical field of lamp networking configuration, and solves the technical problems that in the prior art, mutual influence analysis cannot be performed on networking configuration of lamps, and whether running influence exists in lamps of different specifications during networking configuration of current lamps cannot be ensured. The method specifically comprises the following steps: performing mutual influence analysis on lamp networking configuration, and inferring whether lamps of different specifications have operation influence when the current lamp is subjected to networking configuration so as to ensure that the lamps subjected to networking configuration can meet actual requirements, and the situation that the operation efficiency is reduced after networking configuration due to different performances is avoided; meanwhile, the lamp supply problem can be effectively solved through the optimal matching mode, and the supply requirement is met; and carrying out use scene demand satisfaction analysis on the networking configuration combination, and deducing that the actual use efficiency of the current networking configuration combination is qualified through the use scene demand satisfaction analysis.

Description

Technical Field

[0001] The present invention relates to the technical field of lamp networking configuration, and in particular to an intelligent lamp networking configuration method and system based on artificial intelligence. Background Art

[0002] Lamp networking can realize centralized control, intelligent dimming and other functions. The following are general lamp networking configuration methods: wired networking, using Ethernet, power line carrier and other methods for connection; this method has high stability, but requires wiring, suitable for new decoration or large-scale installation scenarios; wireless networking, common methods include Wi-Fi, ZigBee, Bluetooth and other methods; wireless networking does not require wiring and is easy to install, suitable for already decorated places or small projects.

[0003] However, in the prior art, it is not possible to analyze the mutual impact of lamps when configuring the network. It is impossible to ensure whether lamps of different specifications have an operational impact when the current lamps are configured in the network. At the same time, it is impossible to analyze the satisfaction of the usage scenario requirements of the networking configuration combination, which reduces the demand supply efficiency. In addition, the networking configuration combination cannot be adaptively regulated.

[0004] In view of the above technical defects, a solution is now proposed. Summary of the invention

[0005] The purpose of the present invention is to solve the above-mentioned problems and to propose an intelligent lighting networking configuration method and system based on artificial intelligence.

[0006] The purpose of the present invention can be achieved through the following technical solutions:

[0007] An intelligent lighting network configuration system based on artificial intelligence includes a configuration server, wherein the configuration server is communicatively connected with a lighting mutual configuration influence unit, a scene demand satisfaction analysis unit, an energy-saving control analysis unit, and an adaptive regulation analysis unit;

[0008] The lamp mutual configuration influencing unit marks the lamps to be networked as subjects to be grouped, and combines and matches the subjects to be grouped according to the lighting requirements of the lamp usage scenario and sets them as preset combinations, collects the intersection intensity information and overlapping lighting information, divides the preset combinations according to the information comparison, and obtains the network configuration combination;

[0009] The scenario demand satisfaction analysis unit collects the supply satisfaction information and supply impact information of the networking configuration combination, and infers whether the satisfaction analysis of the coverage area under the usage scenario is normal through information analysis. At the same time, the energy-saving control analysis unit performs energy-saving control analysis on the networking configuration combination, collects the power duration information and the overlap duration information, and infers whether the energy-saving control analysis is normal based on information processing;

[0010] The adaptive control analysis unit performs adaptive control analysis on the networking configuration combination, obtains control data and time supply data, and infers whether the adaptive control performance of the networking configuration combination is normal based on the data analysis.

[0011] As a preferred embodiment of the present invention, the intersection intensity information is the excess of the corresponding average of the light intensity in the intersection area and the average of the light intensity in the non-intersection area when adjacent light sources are supplied to any adjacent subjects to be grouped in the preset combination; the overlapping lighting information is the area ratio of the overlapping area of ​​the lighting coverage area of ​​any adjacent subjects to be grouped in the preset combination to the total lighting area area of ​​the two subjects to be grouped, and the ratio of the corresponding total lighting area area of ​​the subjects to be grouped to the corresponding area ratio of the lighting area area.

[0012] As a preferred embodiment of the present invention, if the intersection intensity information exceeds the mean excess threshold, or the overlapping lighting information exceeds the area ratio threshold, it is inferred that the current two adjacent subjects to be grouped in the preset combination are not suitable for adjacent matching; if the intersection intensity information does not exceed the mean excess threshold, and the overlapping lighting information does not exceed the area ratio threshold, it is inferred that the current two adjacent subjects to be grouped in the preset combination are suitable for adjacent matching.

[0013] As a preferred embodiment of the present invention, the supply satisfaction information is the deviation value of the ambient light intensity in the lamp coverage area corresponding to the lamp operation time within the network configuration combination coverage area and the set light intensity, as well as the corresponding ratio of the deviation value of the ambient light intensity in the lamp coverage area and the ambient light intensity in the surrounding non-coverage area; the supply impact information is the ratio of the increase in light intensity in the lamp coverage area corresponding to the starting time of lamp operation in the network configuration combination coverage area to the intensity value corresponding to the span amount that the light intensity in the current coverage area needs to increase.

[0014] As a preferred embodiment of the present invention, if the supply satisfaction information exceeds the deviation value ratio threshold, or the supply impact information does not exceed the strength value ratio threshold, then it is inferred that the satisfaction analysis of the coverage area under the networking configuration combination usage scenario is abnormal; if the supply satisfaction information does not exceed the deviation value ratio threshold, and the supply impact information exceeds the strength value ratio threshold, then it is inferred that the satisfaction analysis of the coverage area under the networking configuration combination usage scenario is normal.

[0015] As a preferred embodiment of the present invention, the power duration information and the overlapping duration information are respectively the numerical ratio of the peak rising span of power consumption and the constant duration of power increase when the light supplied to the network configuration combination coverage area meets the supply demand, and the overlapping duration of the floating period of ambient light value and the floating period of power consumption of the lamp in the network configuration combination coverage area.

[0016] As a preferred embodiment of the present invention, if the power-duration information exceeds the power-duration numerical ratio threshold, or the overlapping duration information does not exceed the overlapping duration threshold, then it is inferred that the energy-saving control analysis of the networking configuration combination is abnormal; if the power-duration information does not exceed the power-duration numerical ratio threshold, and the overlapping duration information exceeds the overlapping duration threshold, then it is inferred that the energy-saving control analysis of the networking configuration combination is normal.

[0017] As a preferred embodiment of the present invention, the control data and the supply time data are respectively the buffer time for the networking configuration combination to set the position for advance supply when the ambient light is in a light demanding state during the non-operating time during the operation of the networking configuration combination, and the corresponding parameter ratio of the proportion of the number of main bodies that cannot be illuminated in the lighting coverage area during the current non-operating time, and the corresponding time proportion of the moment when the increase in the number of operating lamps when the networking configuration combination is operating during the non-operating time has no deviation from the actual demand.

[0018] As a preferred embodiment of the present invention, if the control data exceeds the parameter ratio threshold, or the timing data does not exceed the time proportion threshold, it is inferred that the adaptive control performance of the networking configuration combination is abnormal; if the control data does not exceed the parameter ratio threshold, and the timing data exceeds the time proportion threshold, it is inferred that the adaptive control performance of the networking configuration combination is normal.

[0019] The intelligent lighting network configuration method based on artificial intelligence is as follows:

[0020] The lamps to be networked are marked as subjects to be grouped, and the subjects to be grouped are combined and matched according to the lighting requirements of the lamp usage scenario and set as preset combinations. The intersection intensity information and overlapping lighting information are collected, and the preset combinations are divided according to the information comparison to obtain the network configuration combination;

[0021] Collect the supply satisfaction information and supply impact information of the networking configuration combination, and infer whether the satisfaction analysis of the coverage area in the usage scenario is normal through information analysis;

[0022] Perform energy-saving control analysis on the networking configuration combination, collect power duration information and overlap duration information, and infer whether the energy-saving control analysis is normal based on information processing;

[0023] Perform adaptive control analysis on the networking configuration combination, obtain control data and timing data, and infer whether the adaptive control performance of the networking configuration combination is normal based on data analysis.

[0024] Compared with the prior art, the present invention has the following beneficial effects:

[0025] 1. In the present invention, mutual influence analysis is performed on the network configuration of lamps to infer whether lamps of different specifications have operational impact when the current lamps are networked, so as to ensure that the lamps for network configuration can meet the actual needs and will not cause the operating efficiency to decrease after the network configuration due to different performance. At the same time, the best matching method can effectively solve the lamp supply problem and meet the supply demand;

[0026] Conduct a scenario satisfaction analysis on the networking configuration combination, and infer that the actual usage efficiency of the current networking configuration combination is qualified through the scenario satisfaction analysis, thereby improving the efficiency of lamp use in the scenario, and also improving the quality of use of the networking configuration, avoiding the phenomenon that the lamps configured in the networking are not suitable for the current usage scenario, which not only fails to meet the needs but also causes power loss of the lamps and natural wear of the lamps themselves.

[0027] 2. In the present invention, energy-saving control analysis is performed on the networking configuration combination to infer whether the energy consumption control during the operation of the networking configuration combination meets the actual control requirements, so as to avoid the networking combination meeting the actual operation scenario but failing to accurately regulate the energy consumption, thereby reducing the operation efficiency of the networking configuration combination and improving the effectiveness of the networking configuration, thereby controlling the power loss to the greatest extent while meeting the regional requirements;

[0028] Conduct adaptive control analysis on the networking configuration combination to infer whether the lighting control meets the actual needs under different operating environments after the networking configuration combination is matched, thereby ensuring the matching eligibility of the networking configuration combination and ensuring that the networking configuration combination can meet the regional lighting needs. BRIEF DESCRIPTION OF THE DRAWINGS

[0029] In order to facilitate understanding by those skilled in the art, the present invention is further described below with reference to the accompanying drawings.

[0030] Figure 1 It is a system principle block diagram of the present invention;

[0031] Figure 2 The present invention is a method flow. DETAILED DESCRIPTION

[0032] In order to enable those skilled in the art to better understand the scheme of the present invention, the technical scheme in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0033] Reference to "embodiments" herein means that a particular feature, structure, or characteristic described in conjunction with the embodiments may be included in at least one embodiment of the present invention. The appearance of the phrase in various places in the specification does not necessarily refer to the same embodiment, nor is it an independent or alternative embodiment that is mutually exclusive with other embodiments. It is explicitly and implicitly understood by those skilled in the art that the embodiments described herein may be combined with other embodiments.

[0034] See also Figure 1 As shown, the intelligent lighting networking configuration system based on artificial intelligence includes a configuration server, and the configuration server is communicatively connected with a lighting mutual configuration influence unit, a scene demand satisfaction analysis unit, an energy-saving control analysis unit, and an adaptive regulation analysis unit;

[0035] The configuration server generates a mutual configuration influence signal of lamps and sends the mutual configuration influence signal of lamps to the mutual configuration influence unit of lamps. After receiving the mutual configuration influence signal of lamps, the mutual configuration influence unit of lamps performs mutual influence analysis on the lamp networking configuration, and infers whether there is an operational impact on lamps of different specifications when the current lamps are networked, so as to ensure that the lamps for network configuration can meet the actual needs and will not cause the operating efficiency to decrease after the network configuration due to different performance. At the same time, the best matching method can effectively solve the lamp supply problem and meet the supply demand;

[0036] The lamps to be networked are marked as subjects to be grouped, and the subjects to be grouped are combined and matched according to the lighting requirements of the lamp usage scenario and set as preset combinations at the same time, and the excess amount of the corresponding average of the light intensity of the intersecting area when the adjacent light sources of any adjacent subjects to be grouped in the preset combination are supplied and the average of the light intensity of the non-intersecting area is obtained, and the excess amount of the corresponding average of the light intensity of the intersecting area when the adjacent light sources of any adjacent subjects to be grouped in the preset combination are supplied and the average of the light intensity of the non-intersecting area is marked as intersection intensity information;

[0037] At the same time, the area ratio of the overlapping area of ​​the lighting coverage area of ​​any adjacent subjects to be grouped in the preset combination to the total lighting area area of ​​the two subjects to be grouped, and the area ratio of the total lighting area area of ​​the corresponding subjects to be grouped to the lighting area area are obtained, and the overlapping lighting information of the subjects to be grouped is obtained by calculating the ratio of the two area ratios;

[0038] And the intersection intensity information and overlapping lighting information are compared with the mean excess threshold and area ratio threshold respectively:

[0039] If the intersection intensity information exceeds the mean excess threshold, or the overlapping lighting information exceeds the area ratio threshold, it is inferred that the two current adjacent subjects to be grouped in the preset combination are not suitable for adjacent matching, and all adjacent subjects to be grouped with the same specifications in the current preset combination are uniformly replaced, and the matching effectiveness of the current preset combination is improved through step-by-step analysis and replacement regulation;

[0040] If the intersection intensity information does not exceed the mean excess threshold, and the overlapping lighting information does not exceed the area ratio threshold, it is inferred that the current two adjacent subjects to be grouped in the preset combination are suitable for adjacent matching, and all adjacent subjects to be grouped with the same specifications in the current preset combination are retained;

[0041] The preset combination is gradually completed by retaining and replacing adjacent entities to be grouped until the match is qualified, and the preset combination is marked as a networking configuration combination, and a networking configuration success signal is generated and sent to the configuration server;

[0042] At the same time, a scene demand satisfaction analysis signal is generated and sent to the scene demand satisfaction analysis unit. After receiving the scene demand satisfaction analysis signal, the scene demand satisfaction analysis unit performs a scene demand satisfaction analysis on the networking configuration combination. Through the scene demand satisfaction analysis, it is inferred that the actual use efficiency of the current networking configuration combination is qualified, thereby improving the efficiency of the use of the lamps in the use scene, and also improving the use quality of the networking configuration, avoiding the phenomenon that the lamps configured in the networking are not suitable for the current use scene, which causes the loss of lamp power and the natural wear of the lamp itself while failing to meet the needs;

[0043] Obtain the deviation value of the ambient light intensity in the area covered by the lamp corresponding to the lamp operation time in the area covered by the networking configuration combination and the set light intensity, as well as the deviation value of the ambient light intensity in the area covered by the lamp and the ambient light intensity in the surrounding non-covered area, and calculate the supply satisfaction information of the networking configuration combination according to the ratio of the light intensity deviation value, and at the same time obtain the ratio of the increase in the light intensity in the area covered by the lamp corresponding to the start time of the lamp operation in the area covered by the networking configuration combination and the intensity value corresponding to the amount of increase in the span of the light intensity in the current coverage area, and mark the ratio of the increase in the light intensity in the area covered by the lamp corresponding to the start time of the lamp operation in the area covered by the networking configuration combination and the intensity value corresponding to the amount of increase in the span of the light intensity in the current coverage area as supply impact information, wherein, when the value deviation of the light intensity in the area and the set required light intensity is very small, the sight line of the road traffic in the area is reduced but the traffic is not completely affected, so at this time, there is a phenomenon that the real-time light intensity of the area is close to the light intensity of the lamp supply, so there is no light difference and the lighting effect is poor;

[0044] The supply satisfaction information and supply impact information are compared with the deviation value ratio threshold and the intensity value ratio threshold respectively:

[0045] If the supply satisfaction information exceeds the deviation value ratio threshold, or the supply impact information does not exceed the intensity value ratio threshold, it is inferred that the satisfaction analysis of the coverage area in the networking configuration combination usage scenario is abnormal, and a satisfaction abnormality signal is generated and sent to the configuration server. After receiving the satisfaction abnormality signal, the configuration server adjusts the operating time of the networking configuration combination or readjusts the lamp configuration;

[0046] If the supply satisfaction information does not exceed the deviation value ratio threshold, and the supply impact information exceeds the strength value ratio threshold, it is inferred that the satisfaction analysis of the coverage area under the networking configuration combination usage scenario is normal, and a satisfaction normal signal is generated and sent to the configuration server;

[0047] At the same time, an energy-saving control analysis signal is generated and sent to the energy-saving control analysis unit. After receiving the energy-saving control analysis signal, the energy-saving control analysis unit performs energy-saving control analysis on the networking configuration combination, and infers whether the energy consumption control during the operation of the networking configuration combination meets the actual control requirements, so as to avoid the networking coordination combination meeting the actual operation scenario, but failing to accurately regulate the energy consumption, thereby reducing the operation efficiency of the networking configuration combination, improving the effectiveness of the networking configuration, and controlling the power loss to the greatest extent while meeting the regional needs;

[0048] The numerical ratio of the peak value rising span of power consumption to the constant duration of power increase when the light supply in the area covered by the networking configuration combination meets the supply demand is obtained, and at the same time, the overlapping duration of the floating period of ambient light value and the floating period of power consumption of lamps in the area covered by the networking configuration combination is obtained, and the numerical ratio of the peak value rising span of power consumption to the constant duration of power increase when the light supply in the area covered by the networking configuration combination meets the supply demand, and the overlapping duration of the floating period of ambient light value and the floating period of power consumption of lamps in the area covered by the networking configuration combination are marked as power duration information and overlapping duration information, respectively, and compared with the power duration numerical ratio threshold and the overlapping duration threshold, respectively: wherein, the power duration numerical ratio is expressed as the ratio of the corresponding numerical values ​​of power and duration, ignoring the influence of inconsistent units, and only analyzing the influence of numerical fluctuation;

[0049] If the ratio of the peak rising span of power consumption to the constant duration of power increase when the light supply in the area covered by the networking configuration combination meets the supply demand exceeds the power duration value ratio threshold, or the overlapping duration of the floating period of ambient light value and the floating period of power consumption of the lamps in the area covered by the networking configuration combination does not exceed the overlapping duration threshold, it is inferred that the energy-saving control analysis of the networking configuration combination is abnormal, and an energy-saving control inefficiency signal is generated and sent to the configuration server. After receiving the energy-saving control inefficiency signal, the configuration server re-matches the specifications of the networking configuration combination;

[0050] If the ratio of the peak rising span of power consumption to the constant duration of power increase when the light supply in the area covered by the networking configuration combination meets the supply demand does not exceed the power duration value ratio threshold, and the overlapping duration of the ambient light value floating period and the lamp power consumption floating period in the area covered by the networking configuration combination exceeds the overlapping duration threshold, it is inferred that the energy-saving control analysis of the networking configuration combination is normal, and an energy-saving control high-efficiency signal is generated and sent to the configuration server;

[0051] Then, an adaptive control analysis signal is generated and sent to the adaptive control analysis unit. After receiving the adaptive control analysis signal, the adaptive control analysis unit performs adaptive control analysis on the networking configuration combination, and infers whether the lighting control meets the actual needs under different operating environments after the networking configuration combination is matched, thereby ensuring the matching eligibility of the networking configuration combination and ensuring that the networking configuration combination can meet the regional lighting needs;

[0052] Obtain the parameter ratio corresponding to the buffer time of the advance supply of the setting position by the networking configuration combination when the ambient light is in the light-required state during the non-operating time during the operation of the networking configuration combination and the proportion of the number of subjects that cannot be lighted in the lamp coverage area during the current non-operating time, where the subjects that cannot be lighted are represented by the subjects that cannot increase the light by themselves, such as pedestrians, bicycles, etc.; at the same time, obtain the time ratio corresponding to the moment when there is no deviation between the increase in the number of lamps in operation and the actual demand when the networking configuration combination is running during the non-operating time, and mark the parameter ratio corresponding to the buffer time of the advance supply of the setting position by the networking configuration combination when the ambient light is in the light-required state during the non-operating time during the operation of the networking configuration combination and the proportion of the number of subjects that cannot be lighted in the lamp coverage area during the current non-operating time, and the time ratio corresponding to the moment when there is no deviation between the increase in the number of lamps in operation and the actual demand when the networking configuration combination is running during the non-operating time as control data and supply time data, and compare them with the parameter ratio threshold and the time ratio threshold respectively:

[0053] If the buffer time of the networking configuration combination set in advance to supply the ambient light during the non-operating time is in a light-demanding state and the corresponding parameter ratio of the proportion of the number of main bodies that cannot be illuminated in the area covered by the lamps during the current non-operating time exceeds the parameter ratio threshold, or the time ratio corresponding to the moment when the increase in the number of lamps in operation does not deviate from the actual demand during the non-operating time does not exceed the time ratio threshold, it is inferred that the adaptive control performance of the networking configuration combination is abnormal, and an inefficient control signal is generated and sent to the configuration server. After receiving the inefficient control signal, the configuration server unifies the control performance of the lamps included in the networking configuration combination, that is, controls the buffer time or controls the brightness and other parameters, and replaces the specifications when necessary;

[0054] If the buffer time for advance supply of the setting position by the networking configuration combination when the ambient light is in a light-demanding state during non-operating hours during the operation of the networking configuration combination and the corresponding parameter ratio of the proportion of the number of subjects that cannot be illuminated in the lighting coverage area during the current non-operating hours do not exceed the parameter ratio threshold, and the time ratio corresponding to the moment when the increase in the number of operating lamps when the networking configuration combination is running during non-operating hours and there is no deviation between the actual demand exceeds the time ratio threshold, it is inferred that the adaptive control performance of the networking configuration combination is normal, and a control efficiency signal is generated and sent to the configuration server.

[0055] The intelligent lighting network configuration method based on artificial intelligence is as follows:

[0056] The lamps to be networked are marked as subjects to be grouped, and the subjects to be grouped are combined and matched according to the lighting requirements of the lamp usage scenario and set as preset combinations. The intersection intensity information and overlapping lighting information are collected, and the preset combinations are divided according to the information comparison to obtain the network configuration combination;

[0057] Collect the supply satisfaction information and supply impact information of the networking configuration combination, and infer whether the satisfaction analysis of the coverage area in the usage scenario is normal through information analysis;

[0058] Perform energy-saving control analysis on the networking configuration combination, collect power duration information and overlap duration information, and infer whether the energy-saving control analysis is normal based on information processing;

[0059] Perform adaptive control analysis on the networking configuration combination, obtain control data and timing data, and infer whether the adaptive control performance of the networking configuration combination is normal based on data analysis.

[0060] When the present invention is used, the lamp mutual configuration influencing unit marks the lamps to be networked as subjects to be grouped, and combines and matches the subjects to be grouped according to the lighting requirements of the lamp use scene and sets them as preset combinations, collects intersection intensity information and overlapping lighting information, divides the preset combinations according to information comparison, and obtains the networking configuration combination;

[0061] The scenario demand satisfaction analysis unit collects the supply satisfaction information and supply impact information of the networking configuration combination, and infers whether the satisfaction analysis of the coverage area under the usage scenario is normal through information analysis. At the same time, the energy-saving control analysis unit performs energy-saving control analysis on the networking configuration combination, collects the power duration information and the overlap duration information, and infers whether the energy-saving control analysis is normal based on information processing;

[0062] The adaptive control analysis unit performs adaptive control analysis on the networking configuration combination, obtains control data and time supply data, and infers whether the adaptive control performance of the networking configuration combination is normal based on the data analysis.

[0063] The preferred embodiments of the present invention disclosed above are only used to help explain the present invention. The preferred embodiments do not describe all the details in detail, nor do they limit the invention to only specific implementation methods. Obviously, many modifications and changes can be made according to the content of this specification. This specification selects and specifically describes these embodiments in order to better explain the principles and practical applications of the present invention, so that those skilled in the art can understand and use the present invention well. The present invention is limited only by the claims and their full scope and equivalents.

Claims

1. The intelligent lighting network configuration system based on artificial intelligence is characterized by: It includes a configuration server, which is communicatively connected with a lamp mutual configuration influence unit, a scene demand satisfaction analysis unit, an energy-saving control analysis unit, and an adaptive regulation analysis unit; The lamp mutual configuration influencing unit marks the lamps to be networked as subjects to be grouped, and combines and matches the subjects to be grouped according to the lighting requirements of the lamp usage scenario and sets them as preset combinations, collects the intersection intensity information and overlapping lighting information, divides the preset combinations according to the information comparison, and obtains the network configuration combination; The scenario demand satisfaction analysis unit collects the supply satisfaction information and supply impact information of the networking configuration combination, and infers whether the satisfaction analysis of the coverage area under the usage scenario is normal through information analysis. At the same time, the energy-saving control analysis unit performs energy-saving control analysis on the networking configuration combination, collects the power duration information and the overlap duration information, and infers whether the energy-saving control analysis is normal based on information processing; The adaptive control analysis unit performs adaptive control analysis on the networking configuration combination, obtains control data and time supply data, and infers whether the adaptive control performance of the networking configuration combination is normal based on the data analysis.

2. The intelligent lighting network configuration system based on artificial intelligence according to claim 1 is characterized in that: The intersection intensity information is the excess of the average light intensity of the intersection area and the average light intensity of the non-intersection area when adjacent light sources are supplied to any adjacent subjects to be grouped in the preset combination; the overlapping lighting information is the ratio of the overlapping area of ​​the lighting coverage area of ​​any adjacent subjects to be grouped in the preset combination to the total lighting area area of ​​the two subjects to be grouped, as well as the ratio of the corresponding total lighting area area of ​​the corresponding subjects to be grouped to the corresponding area ratio of the lighting area area.

3. The intelligent lighting network configuration system based on artificial intelligence according to claim 2 is characterized in that: If the intersection intensity information exceeds the mean excess threshold, or the overlapping lighting information exceeds the area ratio threshold, it is inferred that the current two adjacent subjects to be grouped in the preset combination are not suitable for adjacent matching; if the intersection intensity information does not exceed the mean excess threshold, and the overlapping lighting information does not exceed the area ratio threshold, it is inferred that the current two adjacent subjects to be grouped in the preset combination are suitable for adjacent matching.

4. The intelligent lighting network configuration system based on artificial intelligence according to claim 1 is characterized in that: The supply satisfying information is the deviation value of the ambient light intensity in the area covered by the lamps corresponding to the operation time of the lamps in the combined coverage area of ​​the network configuration and the set light intensity, and the corresponding ratio of the deviation value of the ambient light intensity in the area covered by the lamps to the ambient light intensity in the surrounding non-covered area; The supply impact information is the ratio of the increase in light intensity in the lighting coverage area corresponding to the start time of lighting operation in the network configuration combination coverage area to the intensity value corresponding to the amount of increase in the span of light intensity in the current coverage area.

5. The intelligent lighting network configuration system based on artificial intelligence according to claim 4 is characterized in that: If the supply satisfaction information exceeds the deviation value ratio threshold, or the supply impact information does not exceed the strength value ratio threshold, it is inferred that the satisfaction analysis of the coverage area in the networking configuration combination usage scenario is abnormal; If the supply satisfaction information does not exceed the deviation value ratio threshold, and the supply impact information exceeds the intensity value ratio threshold, it is inferred that the satisfaction analysis of the coverage area under the networking configuration combination usage scenario is normal.

6. The intelligent lighting network configuration system based on artificial intelligence according to claim 1, characterized in that: The power duration information and overlapping duration information are respectively the numerical ratio of the peak rising span of power consumption and the constant duration of power increase when the light supplied by the network configuration combination meets the supply demand, and the overlapping duration of the floating period of ambient light value and the floating period of power consumption of the lamps in the network configuration combination coverage area.

7. The intelligent lighting network configuration system based on artificial intelligence according to claim 6, characterized in that: If the power-duration information exceeds the power-duration value ratio threshold, or the overlapping duration information does not exceed the overlapping duration threshold, it is inferred that the energy-saving control analysis of the networking configuration combination is abnormal; if the power-duration information does not exceed the power-duration value ratio threshold, and the overlapping duration information exceeds the overlapping duration threshold, it is inferred that the energy-saving control analysis of the networking configuration combination is normal.

8. The intelligent lighting network configuration system based on artificial intelligence according to claim 1, characterized in that: The control data and supply time data are respectively the buffer time for the network configuration combination to set the position for advance supply when the ambient light is in the light demanding state during the non-operating time during the operation of the network configuration combination, and the corresponding parameter ratio of the proportion of the number of main bodies that cannot be illuminated in the area covered by the lamps during the current non-operating time, and the corresponding time proportion of the moment when the increase in the number of operating lamps is without deviation from the actual demand when the network configuration combination is running during the non-operating time.

9. The intelligent lighting network configuration system based on artificial intelligence according to claim 8, characterized in that: If the control data exceeds the parameter ratio threshold, or the timing data does not exceed the time proportion threshold, it is inferred that the adaptive control performance of the networking configuration combination is abnormal; if the control data does not exceed the parameter ratio threshold, and the timing data exceeds the time proportion threshold, it is inferred that the adaptive control performance of the networking configuration combination is normal.

10. The method for configuring intelligent lighting network based on artificial intelligence is characterized in that: An artificial intelligence-based smart lighting networking configuration system as described in any one of claims 1 to 9 above.

Images