An intelligent lighting control system and method based on the Internet of Things

Abstract

The application discloses an intelligent lighting control system and method based on an Internet of Things, and relates to the technical field of lighting control.The system comprises the following steps: obtaining each historical interaction record of a user and a lighting device, analyzing the interaction state of the lighting device and the user, and obtaining characteristic device data corresponding to the lighting device; monitoring each lighting device, obtaining each historical device usage record of each lighting device, and analyzing the usage state and energy consumption of each lighting device to obtain first device data corresponding to the lighting device; based on the first device data of the lighting device, analyzing the influence state of the electric energy consumption between each lighting device to obtain marker device data of the lighting device; and a lighting device control cloud platform monitors the lighting device in a current period, and controls the lighting of the lighting device based on the marker device data and the characteristic device data corresponding to the lighting device.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of lighting control, and particularly relates to an intelligent lighting control system and method based on Internet of Things. BACKGROUND

[0002] The intelligent control of lighting devices by Internet of Things brings innovation in many aspects, significantly improves energy efficiency, user experience and management ability, including but not limited to the following points: 1. Energy saving and environmental protection, automatically adjusting light brightness and switching by light sensors, human infrared sensors, etc., for example, dimming or turning off the light when there is sufficient natural light, and automatically turning off the lighting when there is no one; 2. Remote and convenient control, users can remotely turn on or off the light through the App, or control by voice through the smart sound box; 3. Automatic scene linkage, Internet of Things can make the lighting devices automatically adjust the light according to the work and rest time.

[0003] The traditional user interaction with the lighting device is through the human-computer interface, such as buttons, switches, remote controllers, etc., to complete the communication and control with the lighting device. However, this traditional user interaction with the lighting device can only provide a simple interaction mode, and cannot intelligently control the lighting device according to the specific needs of the user and the use of the lighting device, so as to realize the intelligentization of the user interaction with the lighting device. SUMMARY

[0004] The present application aims to provide an intelligent lighting control system and method based on Internet of Things to solve the problems in the prior art.

[0005] To achieve the above-mentioned purpose, the present application provides the following technical scheme: an intelligent lighting control method based on Internet of Things, the method comprising:

[0006] Step S100: obtaining each historical interaction record of the user and the lighting device, analyzing the interaction state of the lighting device and the user, and obtaining the characteristic device data corresponding to the lighting device;

[0007] Step S200: monitoring each lighting device, obtaining each historical device use record of each lighting device, and analyzing the use state and energy consumption of each lighting device, to obtain the first device data corresponding to the lighting device;

[0008] Step S300: based on the first device data of the lighting device, analyzing the influence state of the electric energy consumption between each lighting device, to obtain the marking device data of the lighting device;

[0009] Step S400: the lighting device control cloud platform monitors the lighting device in the current period, and controls the lighting of the lighting device based on the marking device data and the characteristic device data corresponding to the lighting device.

[0010] Further, step S100 comprises:

[0011] Step S101: Constructing a lighting device control cloud platform, obtaining the user account of each user logging into the lighting device control cloud platform, taking the user account as the basis for dividing each historical interaction record of the lighting device, analyzing each historical interaction record of the lighting device, and obtaining different historical interaction records corresponding to different users of the lighting device;

[0012] Step S102: Obtain each region where each lighting device is located, and collect the lighting devices in the same region, obtain the historical interaction records of each user corresponding to each lighting device, obtain each lighting device in the a-th region, and calculate the first regional tilt value Y a :

[0013]

[0014] Wherein, n is the number of lighting devices in the a-th region containing the historical intersection record of the d-th user; B i a,d is the i-th lighting device in the a-th region containing the historical interaction record of the d-th user, and the total number of historical interaction records in the i-th lighting device; C i a,d is the i-th lighting device in the a-th region containing the historical interaction record of the d-th user, and the number of historical interaction records corresponding to the d-th user in the i-th lighting device; Q is the total number of lighting devices;

[0015] Step S103: The a-th region is evaluated to obtain the first regional data corresponding to the a-th region. The evaluation process is to obtain the first regional tilt value of each user in the a-th region, set a first regional tilt value threshold, when the first regional tilt value of the d-th user in the a-th region is greater than the first regional tilt value of each user, and is greater than or equal to the first regional tilt value threshold, the a-th region is recorded as the first region, and the d-th user is recorded as the first user of the a-th region. When the maximum value of the first regional tilt value of each user in the a-th region is less than the first regional tilt value threshold, the a-th region is recorded as the second region;

[0016] Step S104: Based on obtaining the first regional tilt value of each user in each region, the lighting device is evaluated to obtain the corresponding first regional data of each region, and the first regional data of each region is collected to obtain the regional data;

[0017] Step S105: Calculate the first device occupancy rate P e :

[0018]

[0019] wherein, M e is the number of historical interaction records corresponding to the e-th user in the lighting device; M is the total number of historical interaction records of the lighting device;

[0020] Step S106: Obtain the first device occupancy rate of each user in each lighting device, set a first device occupancy rate threshold, and filter the historical interaction records of the e-th user in the lighting device. The filtering process includes: when the first device occupancy rate of the e-th user in the lighting device is less than the first device occupancy rate threshold, the historical interaction records corresponding to the e-th user in the lighting device are excluded.

[0021] Step S107: Filter each historical interaction record of each user in each lighting device, extract data information from each historical interaction record of each lighting device that is retained, obtain device data information corresponding to each lighting device, and obtain characteristic device data corresponding to the lighting device by collecting the device data information corresponding to each lighting device and the area data corresponding to the lighting device.

[0022] Further, step S200 includes:

[0023] Step S201: Monitor each lighting device, obtain each historical device usage record of each lighting device, and extract the usage time and energy consumption data of the lighting device from the historical device usage record.

[0024] Step S202: Calculate the first energy consumption value U f :

[0025]

[0026] wherein, W f is the amount of electricity consumed by the lighting device in the f-th historical device usage record; T f is the usage time of the lighting device in the f-th historical device usage record.

[0027] Step S203: Obtain the first energy consumption value of each historical device usage record in each lighting device, select the median of the first energy consumption value of each historical device usage record in the lighting device as the first control energy consumption value of the lighting device.

[0028] Step S204: Obtain the first comparison energy consumption value of each lighting device, and when the first energy consumption value of the gth historical device usage record in the lighting device is greater than the first comparison energy consumption value, mark the gth historical device usage record as a marked historical device usage record;

[0029] Step S205: Obtain each marked historical device usage record of each lighting device, and aggregate each marked historical device usage record of each lighting device to obtain first device data corresponding to the lighting device.

[0030] Further, step S300 includes:

[0031] Step S301: Based on the obtained area where each lighting device is located, extract each marked historical device usage record within each lighting device in the same area from the first device data;

[0032] Step S302: Extract the use time period of the lighting device from the historical device usage record of the lighting device, obtain the use time period of each historical device usage record of each lighting device, and when the kth lighting device and the a th lighting device exist in the hth area, and the use time periods of a plurality of historical device usage records coincide, obtain and accumulate the use time period coincidence length of the kth lighting device and the a th lighting device in each historical device usage record, to obtain the total use time period coincidence length T of the kth lighting device and the a th lighting device in each historical device usage record. (k,α) ;

[0033] Step S303: Obtain the lighting device use coincidence time period of the kth lighting device and the a th lighting device in each historical device usage record, and respectively obtain the sum of the power consumed by the kth lighting device and the a th lighting device in the use time period coincidence of each historical device usage record.

[0034] Step S304: Calculate the first power value X of the kth lighting device when the kth lighting device is affected by the a th lighting device (k,α) ;

[0035]

[0036] Wherein, V (k,α) is the sum of the power consumed by the kth lighting device and the a th lighting device in the use time period coincidence of each historical device usage record.

[0037] Calculate the first power value X of the a th lighting device when the a th lighting device is affected by the kth lighting device (α,k) :

[0038]

[0039] Among them, V (α,k) For the k-th lighting device and the α-th lighting device, the sum of the electricity consumed by the α-th lighting device during the overlapping usage periods of each historical device usage record;

[0040] Step S305: Obtain the first energy consumption value of each lighting device in the records of each historical device, and take the average value of the first energy consumption values ​​of each lighting device in the records of each historical device to obtain the marked power consumption value of the lighting device;

[0041] Step S306: Set the second power change threshold for each lighting device, and calculate the second power change value Z of the k-th lighting device. (k,α) =X (k,α) -Y k , where Y k The marked electrical quantity value for the k-th lighting device;

[0042] Calculate the second electrical change value Z of the α-th lighting device. (α,k) =X (α,k) -Y α Y α The marked electrical quantity value for the k-th lighting device;

[0043] Step S307: Obtain the second power change value among each lighting device, and analyze the impact of the power consumption of the k lighting devices and the αth lighting device. The specific analysis process is as follows: when the second power change value Z of the kth lighting device... (k,α) and the second electrical change value Z of the αth lighting device (α,k) All values ​​are greater than the corresponding second power consumption change threshold. It is determined that the power consumption of the k-th lighting device and the α-th lighting device influence each other. Only the second power consumption change value Z of the k-th lighting device is considered to be greater than the threshold. (k,α) If the energy consumption of the k-th lighting device exceeds the second energy change threshold, it is determined that the energy consumption of the α-th lighting device is affected by the energy consumption of the k-th lighting device. This is only true if the energy change value Z of the k-th lighting device is greater than the second energy change threshold. (k,α) If the change in power consumption is greater than the second threshold value, it is determined that the power consumption of the k-th lighting device is affected by the α-th lighting device.

[0044] Step S308: Analyze the impact of power consumption among various lighting devices to obtain the marked device data of the lighting devices;

[0045] The sum of the electric energy consumed by the first lighting device in the overlapping use period of each historical device use record and the length of the device overlapping use period are obtained in the above steps. According to these data, the average value of the electric energy consumption of the lighting device in the overlapping use period with other lighting devices can be analyzed. By comparing with the marked electric quantity value of each lighting device, whether each lighting device affects other lighting devices in use can be obtained, and accurate data support for the specific processing method of the lighting device is provided, so that the electric energy consumption of each lighting device is reduced in use, and the effect of energy saving is achieved.

[0046] Further, the step S400 comprises:

[0047] Step S401: Obtain the feature device data corresponding to the lighting device, and extract the area where each lighting device is located. When the area where the lighting device is located is a first area, obtain the marked device data of the lighting device, and extract the device data information corresponding to each lighting device in the first area from the marked device data. When the lighting device in the first area is used, the lighting device control cloud platform adjusts each device data of the lighting device according to the device data information of the first user on the lighting device, and controls the lighting device to illuminate;

[0048] Step S402: When the area where the lighting device is located is a second area, obtain the user account of the user controlling the lighting device, and adjust each device data of the lighting device based on the device data information of the user on the lighting device, and control the lighting of the lighting device;

[0049] Step S403: Obtain the lighting devices used in each area in the current period, obtain the marked device data of the lighting device, and when the electric energy consumption of a lighting device in a certain area is affected by another lighting device, obtain the user account of the user controlling the other lighting device, and obtain the maximum use time of the user in the other lighting device. When the use time of the other lighting device is greater than the maximum use time, the other lighting device is turned off or the energy consumption is reduced, and the lighting of each lighting device is controlled.

[0050] In order to better realize the above method, an intelligent lighting control system based on Internet of Things is also provided. The system comprises a feature device data module, a first device data module, a marked device data module and a lighting intelligent control module.

[0051] The feature device data module is used for obtaining each historical interaction record of the user and each lighting device, analyzing the interaction state of each lighting device and the user, and obtaining the feature device data corresponding to the lighting device.

[0052] The first device data module is configured to monitor each lighting device, acquire each historical device usage record of each lighting device, and analyze the usage state and energy consumption of each lighting device to obtain first device data corresponding to the lighting device.

[0053] The marker device data module is configured to analyze the influence state of the energy consumption between each lighting device to obtain marker device data of the lighting device.

[0054] The lighting intelligent control module is configured to monitor the lighting device in the current period and intelligently control the lighting of each lighting device based on the marker device data and the feature device data corresponding to the lighting device.

[0055] Further, the feature device data module comprises a first region inclination value unit and a feature device data unit.

[0056] The first region inclination value unit is configured to acquire each region in which each lighting device is located, collect the lighting devices in the same region, acquire the historical interaction record of each user corresponding to each lighting device, and calculate the first region inclination value of each user to each region.

[0057] The feature device data unit is configured to filter each historical interaction record of each user in each lighting device, collect the device data information corresponding to each lighting device and the region data corresponding to the lighting device, and obtain the feature device data corresponding to the lighting device.

[0058] Further, the first device data module comprises a first energy consumption value unit and a first device data unit.

[0059] The first energy consumption value unit is configured to monitor each lighting device, acquire each historical device usage record of each lighting device, and calculate the first energy consumption value of each historical device usage record of the lighting device.

[0060] The first device data unit is configured to acquire each marker historical device usage record of each lighting device, collect each marker historical device usage record of each lighting device, and obtain first device data corresponding to the lighting device.

[0061] Further, the marker device data module comprises a first energy consumption value unit and a marker device data unit.

[0062] The first energy consumption value unit is configured to acquire the sum of the consumed energy of different lighting devices in each historical device usage record usage period, and calculate the first energy consumption value of the lighting device.

[0063] A marking device data unit is configured to analyze the influence state of the power consumption between the lighting devices to obtain the marking device data of the lighting devices.

[0064] Further, the lighting intelligent control module comprises a lighting intelligent control unit.

[0065] The lighting intelligent control unit is configured to acquire the characteristic device data corresponding to the lighting devices, extract the area where each lighting device is located, acquire the marking device data of the lighting devices when the area where the lighting device is located is a first area, and intelligently control the lighting of the lighting devices.

[0066] Compared with the prior art, the present application has the following advantages: the present application realizes intelligent control of the lighting of the lighting devices, the areas where different lighting devices are located are different, some lighting devices are located in a public area such as a living room, and some lighting devices are located in a private area such as a bedroom, the present application can intelligently analyze the area where the lighting device is located, and can also analyze the mutual influence state between the lighting devices according to the interaction record and the historical power consumption of the lighting devices, obtain specific data information of the mutual influence of the lighting devices in the same area, and realize intelligent control of the lighting of the lighting devices in different areas in combination with the area where the lighting device is located and the interaction record of the lighting device. BRIEF DESCRIPTION OF DRAWINGS

[0067] Fig. 1 is a method flowchart of the intelligent lighting control method based on the Internet of Things according to the present application;

[0068] Fig. 2 is a module schematic diagram of the intelligent lighting control system based on the Internet of Things according to the present application. DETAILED DESCRIPTION

[0069] The technical solutions in the embodiments of the present application will be described clearly and completely below with reference to the drawings in the embodiments of the present application. Obviously, the described embodiments are only part of the embodiments of the present application, rather than all the embodiments. Based on the embodiments in the present application, all other embodiments obtained by those skilled in the art without creative labor fall within the scope of protection of the present application.

[0070] Embodiment: as shown in the drawings, the present application provides a technical solution, an intelligent lighting control method based on the Internet of Things, the method comprising: Figs. 1-2

[0071] Step S100: acquiring each historical interaction record of the user and the lighting device, analyzing the interaction state of the lighting device and the user, and obtaining the characteristic device data corresponding to the lighting device;

[0072] In step S100, the following steps are included:​

[0073] Step S101: Constructing a lighting device control cloud platform, obtaining user accounts of each user logging into the lighting device control cloud platform, taking the user accounts as the basis for dividing each historical interaction record of the lighting device, analyzing each historical interaction record of the lighting device, and obtaining different historical interaction records corresponding to different users of the lighting device;

[0074] Step S102: Obtaining each region where each lighting device is located, collecting lighting devices in the same region, obtaining historical interaction records of each user corresponding to each lighting device, obtaining each lighting device in the a-th region, calculating a first regional tilt value Y of the d-th user to the a-th region a :

[0075]

[0076] wherein n is the number of lighting devices in the a-th region that contain historical intersection records of the d-th user; B i a,d is the i-th lighting device in the a-th region that contains historical interaction records of the d-th user, the total number of historical interaction records in the i-th lighting device; C i a,d is the i-th lighting device in the a-th region that contains historical interaction records of the d-th user, the number of historical interaction records corresponding to the d-th user in the i-th lighting device; Q is the total number of lighting devices;

[0077] Step S103: The a-th region is evaluated to obtain first regional data corresponding to the a-th region. The evaluation process is to obtain the first regional tilt value of each user in the a-th region, set a first regional tilt value threshold, when the first regional tilt value of the d-th user in the a-th region is greater than the first regional tilt value of each user, and is greater than or equal to the first regional tilt value threshold, the a-th region is recorded as the first region, and the d-th user is recorded as the first user of the a-th region, when the maximum value of the first regional tilt value of each user in the a-th region is less than the first regional tilt value threshold, the a-th region is recorded as the second region;

[0078] Step S104: Based on obtaining the first regional tilt value of each user in each region, evaluating each region where the lighting device is located to obtain corresponding first regional data of each region, and collecting the first regional data of each region to obtain regional data;

[0079] Step S105: Calculating the first device occupancy rate P of the e-th user in the lighting device e :

[0080]

[0081] wherein, M e is the number of historical interaction records corresponding to the e-th user in the lighting device; M is the total number of historical interaction records of the lighting device;

[0082] For example, the number of historical interaction records corresponding to the 2nd user in the lighting device is 20; the total number of historical interaction records of the lighting device is 100; the first device occupancy rate P2 of the 2nd user in the lighting device is:

[0083]

[0084] Step S106: Obtain the first device occupancy rate of each user in each lighting device, set a first device occupancy rate threshold, and filter the historical interaction records of the e-th user in the lighting device. The filtering process includes: when the first device occupancy rate of the e-th user in the lighting device is less than the first device occupancy rate threshold, the historical interaction records corresponding to the e-th user in the lighting device are excluded.

[0085] Step S107: Filter each historical interaction record of each user in each lighting device, extract data information from each historical interaction record of each lighting device that is retained, obtain device data information corresponding to each lighting device, and obtain characteristic device data corresponding to each lighting device by collecting device data information corresponding to each lighting device and area data corresponding to the lighting device.

[0086] For example, the device data of the lighting device includes various functional data of the lighting device.

[0087] Step S200: Monitor each lighting device, obtain each historical device usage record of each lighting device, and analyze the usage state and energy consumption of each lighting device to obtain first device data corresponding to the lighting device.

[0088] Step S200 includes:

[0089] Step S201: Monitor each lighting device, obtain each historical device usage record of each lighting device, and extract the usage duration and energy consumption data of the lighting device from the historical device usage record.

[0090] Step S202: Calculate the first energy consumption value U f :

[0091]

[0092] wherein, W fthe power consumed by the lighting device in the fth historical device usage record; T f the usage duration of the lighting device in the fth historical device usage record;

[0093] For example, the power consumed by the lighting device in the 3rd historical device usage record is 100 kwh, and the usage duration of the lighting device in the 3rd historical device usage record is 2 h, the first energy consumption value U3 of the 3rd historical device usage record of the lighting device is calculated as follows:

[0094]

[0095] Step S203: Obtain the first energy consumption value of each historical device usage record in each lighting device, and select the median of the first energy consumption value of each historical device usage record in the lighting device as the first control energy consumption value of the lighting device;

[0096] Step S204: Obtain the first control energy consumption value of each lighting device, and when the first energy consumption value of the gth historical device usage record in the lighting device is greater than the first control energy consumption value, the gth historical device usage record is recorded as a marked historical device usage record;

[0097] Step S205: Obtain each marked historical device usage record of each lighting device, and collect each marked historical device usage record of each lighting device to obtain the first device data corresponding to the lighting device;

[0098] Step S300: Based on the first device data of the lighting device, analyze the power consumption influence state between each lighting device to obtain the marked device data of the lighting device;

[0099] Wherein, step S300 comprises:

[0100] Step S301: Based on the obtained area where each lighting device is located, extract each marked historical device usage record in each lighting device in the same area from the first device data;

[0101] Step S302: Extract the usage period of the lighting device from the historical device usage record of the lighting device, obtain the usage period of each historical device usage record of each lighting device, and when there are the kth lighting device and the a lighting device in the hth area, and there are several historical device usage records whose usage periods coincide, obtain and accumulate the usage period coincidence duration of the kth lighting device and the a lighting device in each historical device usage record, to obtain the total usage period coincidence duration T (k,α) of the kth lighting device and the a lighting device in each historical device usage record.

[0102] Step S303: obtaining the sum of the power consumed by the kth lighting device and the a th lighting device in the overlapping period of the lighting device usage in each historical device usage record;

[0103] Step S304: calculating the first power value X (k,α) of the kth lighting device when the kth lighting device is affected by the a th lighting device;

[0104]

[0105] wherein V (k,α) is the sum of the power consumed by the kth lighting device and the a th lighting device in the overlapping period of the lighting device usage in each historical device usage record;

[0106] calculating the first power value X (α,k) of the a th lighting device when the a th lighting device is affected by the kth lighting device;

[0107]

[0108] wherein V (α,k) is the sum of the power consumed by the kth lighting device and the a th lighting device in the overlapping period of the lighting device usage in each historical device usage record;

[0109] Step S305: obtaining the first energy consumption value of each lighting device in each historical device record, and averaging the first energy consumption value of each lighting device in the historical device record to obtain the marked power value of the lighting device;

[0110] Step S306: setting the second power change value threshold of each lighting device, and calculating the second power change value Z (k,α) of the kth lighting device = X (k,α) -Y k , wherein Y k is the marked power value of the kth lighting device;

[0111] calculating the second power change value Z (α,k) of the a th lighting device = X (α,k) -Y α , Y α is the marked power value of the kth lighting device;

[0112] Step S307: obtaining the second power change value between each lighting device, and analyzing the power consumption influence state of the kth lighting device and the a th lighting device, and the specific analysis process is that when the second power change value Z (k,α)The second power change value Z of the kth lighting device (α,k) The second power change value Z of the kth lighting device (k,α) The second power change value Z of the kth lighting device (k,α) The second power change value Z of the kth lighting device

[0113] Step S308: Analyze the power consumption influence state between each lighting device to obtain the marking device data of the lighting device;

[0114] Step S400: The lighting device control cloud platform monitors the lighting device in the current period, and controls the lighting of the lighting device based on the marking device data and the characteristic device data corresponding to the lighting device;

[0115] Step S400 includes:

[0116] Step S401: Obtain the characteristic device data corresponding to the lighting device, and extract the area where each lighting device is located. When the area where the lighting device is located is the first area, obtain the marking device data of the lighting device, and extract the device data information corresponding to each lighting device in the first area from the marking device data. When the lighting device control cloud platform monitors that the lighting device in the first area is used, adjust each device data of the lighting device according to the device data information of the first user on the lighting device, and control the lighting device to illuminate;

[0117] Step S402: When the area where the lighting device is located is the second area, obtain the user account of the user controlling the lighting device, and adjust each device data of the lighting device based on the device data information of the user on the lighting device, and control the lighting of the lighting device;

[0118] Step S403: Obtain the lighting device used in each area in the current period, obtain the marking device data of the lighting device, and when the power consumption of a lighting device in a certain area is affected by another lighting device, obtain the user account of the user controlling the other lighting device, and obtain the maximum use duration of the user in the other lighting device. When the use duration of the other lighting device is greater than the maximum use duration, turn off or reduce the energy consumption of the other lighting device, and control the lighting of each lighting device;

[0119] For example, the mth region exists the power consumption of the gamma lighting device is affected by the epsilon lighting device, the user account of the user controlling the gamma lighting device is obtained, the maximum use time of the user in the gamma lighting device is obtained, and when the use time of the gamma lighting device is greater than the maximum use time, the gamma lighting device is closed or the energy consumption is reduced;

[0120] In order to better realize the above method, an intelligent lighting control system based on Internet of Things is also proposed, which comprises a feature device data module, a first device data module, a marking device data module and a lighting intelligent control module;

[0121] The feature device data module is used to obtain each historical interaction record of each user and each lighting device, analyze the interaction state of each lighting device and the user, and obtain the feature device data corresponding to the lighting device;

[0122] The first device data module is used to monitor each lighting device, obtain each historical device use record of each lighting device, analyze the use state and energy consumption of each lighting device, and obtain the first device data corresponding to the lighting device;

[0123] The marking device data module is used to analyze the energy consumption influence state between each lighting device, and obtain the marking device data of the lighting device;

[0124] The lighting intelligent control module is used to monitor the lighting device in the current period, and based on the marking device data and the feature device data corresponding to the lighting device, intelligently control the lighting of each lighting device;

[0125] The feature device data module comprises a first region inclination value unit and a feature device data unit;

[0126] The first region inclination value unit is used to obtain each region where each lighting device is located, and collect the lighting devices in the same region, obtain the historical interaction record of each user corresponding to each lighting device, and calculate the first region inclination value of each user to each region;

[0127] The feature device data unit is used to filter each historical interaction record of each user in each lighting device, collect the device data information corresponding to each lighting device and the region data corresponding to the lighting device, and obtain the feature device data corresponding to the lighting device;

[0128] The first device data module comprises a first energy consumption value unit and a first device data unit;

[0129] The first energy consumption value unit is configured to monitor each lighting device, obtain each historical device usage record of each lighting device, and calculate a first energy consumption value of each historical device usage record of the lighting device.

[0130] The first device data unit is configured to obtain each marked historical device usage record of each lighting device, and collect each marked historical device usage record of each lighting device to obtain first device data corresponding to the lighting device.

[0131] The marked device data module comprises a first electric quantity value unit and a marked device data unit.

[0132] The first electric quantity value unit is configured to obtain a sum of electric quantities consumed by different lighting devices within a same use period of each historical device usage record, and calculate a first electric quantity value of the lighting device.

[0133] The marked device data unit is configured to analyze an electric energy consumption influence state between each lighting device to obtain marked device data of the lighting device.

[0134] The lighting intelligent control module comprises a lighting intelligent control unit.

[0135] The lighting intelligent control unit is configured to obtain feature device data corresponding to the lighting device, extract a region where each lighting device is located from the feature device data, obtain marked device data of the lighting device when the region where the lighting device is located is a first region, and intelligently control lighting of each lighting device.

[0136] It is apparent for those skilled in the art that the present application is not limited to the details of the above exemplary embodiments, but can be implemented in other concrete forms without departing from the spirit or essential characteristics of the present application. Therefore, the embodiments should be considered as exemplary and non-limiting, and the scope of the present application is defined by the appended claims rather than the above description, and all changes falling within the meaning and range of the equivalent elements of the claims are intended to be embraced in the present application. Any reference signs in the claims should not be considered as limiting the claims to which they relate.

Claims

1. An intelligent lighting control method based on the Internet of Things, characterized in that, The method includes: Step S100: Obtain all historical interaction records between the user and the lighting equipment, analyze the interaction status between the lighting equipment and the user, and obtain the characteristic equipment data corresponding to the lighting equipment; Step S200: Monitor each lighting device, obtain the historical usage records of each lighting device, and analyze the usage status and energy consumption of each lighting device to obtain the first device data corresponding to the lighting device; Step S300: Based on the first equipment data of the lighting equipment, analyze the impact of power consumption among various lighting equipment to obtain the marked equipment data of the lighting equipment; Step S400: The lighting equipment control cloud platform monitors the lighting equipment in the current period and controls the lighting of the lighting equipment based on the corresponding tagged equipment data and characteristic equipment data; Step S100 includes: Step S101: Construct a lighting equipment control cloud platform, obtain the user accounts of each user who logs into the lighting equipment control cloud platform, use the user accounts as the basis for dividing the historical interaction records of the lighting equipment, analyze the historical interaction records of the lighting equipment, and obtain the different historical interaction records corresponding to different users of the lighting equipment. Step S102: Obtain the regions where each lighting device is located, aggregate the lighting devices in the same region, obtain the historical interaction records of each user for each lighting device, obtain the lighting devices in the a-th region, and calculate the first region tilt value Y of the d-th user for the a-th region. a : ， in, B represents the number of lighting devices in region a containing the historical intersection records of user d; i a,d C represents the i-th lighting device within the a-th region that contains the d-th user historical interaction record, and the total number of historical interaction records within the i-th lighting device; i a,d Let be the i-th lighting device in the a-th area that contains the historical interaction record of the d-th user, and let Q be the number of historical interaction records corresponding to the d-th user within the i-th lighting device; Q is the total number of lighting devices. Step S103: The a-th region is evaluated to obtain the first region data corresponding to the a-th region. The evaluation process is to obtain the first region tilt value of each user in the a-th region, set the first region tilt value threshold, and when the first region tilt value of the d-th user in the a-th region is greater than the first region tilt value of each user and is greater than or equal to the first region tilt value threshold, the a-th region is recorded as the first region and the d-th user is recorded as the first user of the a-th region. When the maximum value of the first region tilt value of each user in the a-th region is less than the first region tilt value threshold, the a-th region is recorded as the second region. Step S104: Based on the first area tilt value of each user in each area, evaluate each area where the lighting equipment is located to obtain the corresponding first area data, and collect the first area data of each area to obtain the area data. Step S105: Calculate the first equipment occupancy rate P of the e-th user within the lighting equipment. e : ， Among them, M e M represents the number of historical interaction records corresponding to the e-th user within the lighting equipment; M represents the total number of historical interaction records for the lighting equipment. Step S106: Obtain the first device occupancy rate of each user in each lighting device, set the first device occupancy rate threshold, and filter the historical interaction records of the e-th user in the lighting device. The filtering process includes removing the historical interaction records corresponding to the e-th user in the lighting device when the first device occupancy rate of the e-th user in the lighting device is less than the first device occupancy rate threshold. Step S107: Filter the historical interaction records of each user in each lighting device, extract the data information from the historical interaction records of each lighting device, and obtain the device data information corresponding to each lighting device. The device data information is the device data of each device of the lighting device. Combine the device data information corresponding to each lighting device with the area data corresponding to the lighting device to obtain the feature device data corresponding to the lighting device. Step S300 includes: Step S301: Based on the acquired area where each lighting device is located, extract the marked historical device usage records from the first device data for each lighting device in the same area; Step S302: Extract the usage periods of the lighting equipment from the historical equipment usage records. Obtain the usage periods of each historical equipment usage record for each lighting equipment. When there are k-th and α-th lighting equipment in the h-th region, and the usage periods of several historical equipment usage records overlap, obtain the overlap time between the k-th and α-th lighting equipment in the various historical equipment usage records, and sum them up to obtain the total overlap time T between the k-th and α-th lighting equipment in the various historical equipment usage records. (k,α) ; Step S303: Obtain the overlapping usage periods of the k-th lighting device and the α-th lighting device in each historical device usage record, and obtain the sum of the electricity consumed by the k-th lighting device and the α-th lighting device during the overlapping usage periods in each historical device usage record; Step S304: Calculate the first electrical quantity value X of the k-th lighting device when the k-th lighting device is affected by the α-th lighting device. (k,α) ; ， Among them, V (k,α) For the k-th lighting device and the α-th lighting device, the sum of the electricity consumed by the k-th lighting device during the overlapping usage periods of the various historical device usage records; When calculating the first electrical quantity value X of the α-th lighting device under the influence of the k-th lighting device, (α,k) : ， Among them, V (α,k) For the k-th lighting device and the α-th lighting device, the sum of the electricity consumed by the α-th lighting device during the overlapping usage periods of each historical device usage record; Step S305: Obtain the first energy consumption value of each lighting device in the records of each historical device, and take the average value of the first energy consumption values ​​of each lighting device in the records of each historical device to obtain the marked power consumption value of the lighting device; Step S306: Set the second power change threshold for each lighting device, and calculate the second power change value Z of the k-th lighting device. (k,α) =X (k,α) -Y k , where Y k The marked electrical quantity value for the k-th lighting device; Calculate the second electrical quantity change value Z of the αth lighting device. (α,k) =X (α,k) -Y α Y α The marked electrical quantity value for the k-th lighting device; Step S307: Obtain the second power change value among each lighting device, and analyze the impact of the power consumption of the k lighting devices and the αth lighting device. The specific analysis process is as follows: when the second power change value Z of the kth lighting device... (k,α) and the second electrical change value Z of the αth lighting device (α,k) All values ​​are greater than the corresponding second power consumption change threshold. It is determined that the power consumption of the k-th lighting device and the α-th lighting device influence each other. Only the second power consumption change value Z of the k-th lighting device is considered to be greater than the threshold. (k,α) If the energy consumption of the k-th lighting device exceeds the second energy change threshold, it is determined that the energy consumption of the α-th lighting device is affected by the energy consumption of the k-th lighting device. This is only true if the energy change value Z of the k-th lighting device is greater than the second energy change threshold. (k,α) If the change in power consumption is greater than the second threshold value, it is determined that the power consumption of the k-th lighting device is affected by the α-th lighting device. Step S308: Analyze the impact of power consumption among various lighting devices to obtain the marked device data of the lighting devices; Step S400 includes: Step S401: Obtain the feature device data corresponding to the lighting equipment, extract the area where each lighting equipment is located from it. When the area where the lighting equipment is located is the first area, obtain the marked device data of the lighting equipment, and extract the device data information corresponding to each lighting equipment in the first area from the marked device data. When the lighting equipment control cloud platform detects that the lighting equipment in the first area is being used, it adjusts the various device data of the lighting equipment according to the device data information of the first user on the lighting equipment, and controls the lighting equipment to provide illumination. Step S402: When the area where the lighting equipment is located is the second area, obtain the user account of the user who controls the lighting equipment, and adjust the various equipment data of the lighting equipment based on the user's equipment data information on the lighting equipment, and control the lighting of the lighting equipment. Step S403: Obtain the lighting devices used in each area within the current period, obtain the marked device data of the lighting devices, when the power consumption of a certain lighting device in a certain area is affected by another lighting device, obtain the user account of the user controlling the other lighting device, obtain the maximum usage time of the user in the other lighting device, when the usage time of the other lighting device exceeds the maximum usage time, turn off the other lighting device or reduce its energy consumption, and control the lighting of each lighting device.

2. The intelligent lighting control method based on the Internet of Things according to claim 1, characterized in that, Step S200 includes: Step S201: Monitor each lighting device, obtain the historical usage records of each lighting device, and extract the usage time and energy consumption data of the lighting devices from the historical usage records; Step S202: Calculate the first energy consumption value U of the f-th historical device usage record of the lighting equipment. f : ， Among them, W f T represents the electricity consumed by the lighting equipment in the f-th historical device usage record; f The duration of lighting equipment usage in the f-th historical device usage record; Step S203: Obtain the first energy consumption value of each historical device usage record in each lighting device, and select the median of the first energy consumption value of each historical device usage record in the lighting device as the first reference energy consumption value of the lighting device. Step S204: Obtain the first reference energy consumption value of each lighting device. When the first energy consumption value of the g-th historical device usage record is greater than the first reference energy consumption value, the g-th historical device usage record is marked as a marked historical device usage record. Step S205: Obtain the historical device usage records of each lighting device, and collect the historical device usage records of each lighting device to obtain the first device data corresponding to the lighting device.

3. An intelligent lighting control system based on the Internet of Things (IoT), used to execute the intelligent lighting control method based on the Internet of Things as described in any one of claims 1-2, characterized in that, The system includes a feature device data module, a first device data module, a marker device data module, and a lighting intelligent control module; The feature device data module is used to acquire historical interaction records between the user and each lighting device, analyze the interaction status between each lighting device and the user, and obtain feature device data corresponding to the lighting device. The first device data module is used to monitor each lighting device, obtain the historical usage records of each lighting device, and analyze the usage status and energy consumption of each lighting device to obtain the first device data corresponding to the lighting device. The marking device data module is used to analyze the impact of power consumption among various lighting devices to obtain marking device data for the lighting devices. The lighting intelligent control module is used to monitor the lighting equipment in the current cycle and to intelligently control the lighting of each lighting equipment based on the corresponding tagged equipment data and characteristic equipment data.

4. The intelligent lighting control system based on the Internet of Things according to claim 3, characterized in that, The feature device data module includes a first region tilt value unit and a feature device data unit; The first region tilt value unit is used to acquire the regions where each lighting device is located, aggregate the lighting devices in the same region, acquire the historical interaction records of each user in each lighting device, and calculate the first region tilt value of each user in each region. The feature device data unit is used to filter the historical interaction records of each user within each lighting device, and to collect the device data information corresponding to each lighting device and the area data corresponding to the lighting device to obtain the feature device data corresponding to the lighting device.

5. The intelligent lighting control system based on the Internet of Things according to claim 3, characterized in that, The first device data module includes a first energy consumption value unit and a first device data unit; The first energy consumption value unit is used to monitor each lighting device, obtain each historical device usage record of each lighting device, and calculate the first energy consumption value of each historical device usage record of the lighting device. The first device data unit is used to acquire the historical device usage records of each marked device for each lighting device, and to collect the historical device usage records of each marked device for each lighting device to obtain the first device data corresponding to the lighting device.

6. The intelligent lighting control system based on the Internet of Things according to claim 3, characterized in that, The tagging device data module includes a first power value unit and a tagging device data unit; The first power consumption unit is used to obtain the sum of the power consumed by different lighting devices during the overlapping periods of use in various historical device usage records, and to calculate the first power consumption value of the lighting devices. The marking device data unit is used to analyze the impact of power consumption among various lighting devices to obtain marking device data for the lighting devices.

7. The intelligent lighting control system based on the Internet of Things according to claim 3, characterized in that, The intelligent lighting control module includes an intelligent lighting control unit; The lighting intelligent control unit is used to acquire feature device data corresponding to the lighting equipment, extract the area where each lighting equipment is located, and when the area where the lighting equipment is located is the first area, acquire the marked device data of the lighting equipment and perform intelligent control of the lighting of each lighting equipment.

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