Intelligent lighting control system and method based on Internet of Things

Abstract

The invention discloses an intelligent illumination control system and method based on the Internet of Things, and relates to the technical field of illumination control, and the method comprises the steps: obtaining each historical interaction record of a user and illumination equipment, analyzing the interaction state of the illumination equipment and the user, and obtaining the feature equipment data corresponding to the illumination equipment; 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 first device data corresponding to the lighting device; based on the first equipment data of the lighting equipment, analyzing the electric energy consumption influence state between the lighting equipment to obtain marked equipment data of the lighting equipment; and 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 marking equipment data and the feature equipment data corresponding to the lighting equipment.

Description

Technical Field

[0001] The present invention relates to the technical field of lighting control, and specifically, to an intelligent lighting control system and method based on the Internet of Things. Background Art

[0002] The intelligent control of lighting equipment by the Internet of Things has brought about various innovations, significantly improving energy efficiency, user experience, and management capabilities, including but not limited to the following points: 1. Energy conservation and environmental protection. Through light sensors, human infrared sensors, etc., the brightness and switch of lights are automatically adjusted. For example, when natural light is sufficient, the lights are dimmed or turned off, and the lighting is automatically turned off when no one is present; 2. Remote and convenient control. Users can remotely turn on and off lights through the App or perform voice control through a smart speaker; 3. Automatic scene linkage. The Internet of Things enables lighting equipment to automatically adjust lights according to the work and rest time.

[0003] In the traditional way, users interact with lighting equipment through a human-machine interface, such as buttons, switches, remote controls, etc., to complete communication and control with lighting equipment. However, this traditional way of user-lighting equipment interaction can only provide a simple interaction method and cannot intelligently control lighting equipment according to the specific needs of users and the usage situation of lighting equipment, thus realizing the intelligence of user-lighting equipment interaction. Summary of the Invention

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

[0005] To achieve the above purpose, the present invention provides the following technical solution: An intelligent lighting control method based on the Internet of Things, the method includes:

[0006] Step S100: Obtain each historical interaction record between the user and the lighting equipment, analyze the interaction state between the lighting equipment and the user, and obtain the characteristic equipment data corresponding to the lighting equipment;

[0007] Step S200: Monitor each lighting equipment, obtain each historical equipment usage record of each lighting equipment, and analyze the usage state and energy consumption of each lighting equipment to obtain the first equipment data corresponding to the lighting equipment;

[0008] Step S300: Based on the first equipment data of the lighting equipment, analyze the influence state of power consumption between each lighting equipment to obtain the marked equipment data of the lighting equipment;

[0009] Step S400: The lighting equipment control cloud platform monitors the lighting equipment within the current cycle, and controls the lighting of the lighting equipment based on the marked equipment data and characteristic equipment data corresponding to the lighting equipment.

[0010] Further, step S100 includes:

[0011] Step S101: Construct a lighting device control cloud platform, obtain the user accounts of each user logging in to the lighting device control cloud platform, use the user accounts as the basis for dividing each historical interaction record of the lighting device, analyze each historical interaction record of the lighting device, and obtain different historical interaction records corresponding to different users of the lighting device;

[0012] Step S102: Obtain the regions where each lighting device is located, gather 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 region inclination value Y of the d-th user for the a-th region a :

[0013]

[0014] where n is the number of lighting devices in the a-th region that contain the 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 the historical interaction records of the d-th user, and is 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 the historical interaction records of the d-th user, and is 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: Conduct a regional assessment on the a-th region to obtain the first region data corresponding to the a-th region. The assessment process is to obtain the first region inclination values of each user in the a-th region, set a first region inclination value threshold. When the first region inclination value of the d-th user in the a-th region is greater than the first region inclination values of each user and greater than or equal to the first region inclination value threshold, mark the a-th region as the first region and mark the d-th user as the first user of the a-th region. When the maximum value of the first region inclination values of each user in the a-th region is less than the first region inclination value threshold, mark the a-th region as the second region;

[0016] Step S104: Based on the obtained first region inclination values of each user in each region, evaluate each region where the lighting device is located to obtain the corresponding first region data for each region, and gather the first region data of each region to obtain region data;

[0017] Step S105: Calculate the first device occupancy rate P of the e-th user in the lighting device e :

[0018]

[0019] Among them, 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 the first device occupancy rate threshold, and screen the historical interaction records of the e-th user in the lighting device. The screening 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, eliminating the historical interaction records corresponding to the e-th user in the lighting device;

[0021] Step S107: Screen the historical interaction records of each user in each lighting device, extract data information from the retained historical interaction records of each lighting device to obtain the device data information corresponding to each lighting device. The device data information is the device data of each item of the lighting device, and gather the device data information corresponding to each lighting device with the area data corresponding to the lighting device to obtain the characteristic device 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 duration and energy consumption data of the lighting device from the historical device usage record;

[0024] Step S202: Calculate the first energy consumption value U of the f-th historical device usage record of the lighting device f :

[0025]

[0026] Among them, W f is the electricity consumed by the lighting device in the f-th historical device usage record; T f is the usage duration 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, and select the median of the first energy consumption values of each historical device usage record in the lighting device as the first reference energy consumption value of the lighting device;

[0028] Step S204: Obtain the first reference energy consumption values of each lighting device. When the first energy consumption value of the g-th historical device usage record in the lighting devices is greater than the first reference energy consumption value, mark the g-th historical device usage record as the marked historical device usage record.

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

[0030] Further, step S300 includes:

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

[0032] Step S302: Extract the usage time period of the lighting device from the historical device usage records of the lighting device, and obtain the usage time periods of each historical device usage record of each lighting device. When there are the k-th lighting device and the α-th lighting device in the h-th region and there are several historical device usage records with overlapping usage time periods, obtain and accumulate the total overlapping duration T of the usage time periods between the k-th lighting device and the α-th lighting device among each historical device usage record. (k,α) ;

[0033] Step S303: Obtain the overlapping usage time periods of the lighting devices within each historical device usage record for the k-th lighting device and the α-th lighting device, and respectively obtain the sum of the electricity consumed by the k-th lighting device and the α-th lighting device during the overlapping usage time periods of each historical device usage record.

[0034] Step S304: Calculate the first electricity value X of the k-th lighting device when it is affected by the α-th lighting device. (k,α) ;

[0035]

[0036] Wherein, V (k,α) is the sum of the electricity consumed by the k-th lighting device during the overlapping usage time periods of each historical device usage record for the k-th lighting device and the α-th lighting device.

[0037] Calculate the first electricity value X of the α-th lighting device when it is affected by the k-th lighting device. (α,k) :

[0038]

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

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

[0041] Step S306: Set the second power change value 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 Among them, Y k is the marked power value of the k-th lighting device;

[0042] Calculate the second power change value Z of the α-th lighting device (α,k) = X (α,k) - Y α Y α is the marked power value of the k-th lighting device;

[0043] Step S307: Obtain the second power change values between each lighting device, and analyze the power consumption influence status of the k-th lighting device and the α-th lighting device. The specific analysis process is as follows. When the second power change value Z of the k-th lighting device (k,α) and the second power change value Z of the α-th lighting device (α,k) are both greater than the corresponding second power change value threshold, it is determined that the power consumption of the k-th lighting device and the α-th lighting device affects each other. When only the second power change value Z of the k-th lighting device (k,α) is greater than the second power change value threshold, it is determined that the power consumption of the k-th lighting device is affected by the α-th lighting device. When only the second power change value Z of the k-th lighting device (k,α) is greater than the second power change value threshold, 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 power consumption influence status between each lighting device to obtain the marked device data of the lighting device;

[0045] In the above steps, first, for different lighting devices, the sum of the power consumed within the overlapping usage periods of each historical device usage record and the duration of the overlapping usage periods of the devices are obtained. Based on this data analysis, the average power consumption of the lighting devices during the overlapping usage periods with other lighting devices can be calculated. By comparing this with the marked power values of each lighting device, it can be determined whether each lighting device has an impact on other lighting devices during use, providing accurate data support for the specific processing methods of the lighting devices below. This enables the reduction of power consumption of each lighting device during use, achieving the effect of energy conservation.

[0046] Further, step S400 includes:

[0047] Step S401: Obtain the characteristic device data corresponding to the lighting device, and extract the area where each lighting device is located from it. When the area where the lighting device is located is the 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 control cloud platform monitors that the lighting device in the first area is in use, adjust the various 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 provide lighting.

[0048] 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 based on the device data information of the user on the lighting device, adjust the various device data of the lighting device and control the lighting of the lighting device.

[0049] Step S403: Obtain the lighting devices used in each area during the current period, and 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, and obtain the maximum usage duration of the user in the other lighting device. When the usage duration of the other lighting device is greater than the maximum usage duration, turn off the other lighting device or reduce its energy consumption, and control the lighting of each lighting device.

[0050] To better implement the above method, an intelligent lighting control system based on the Internet of Things is also proposed. The system includes a characteristic device data module, a first device data module, a marked device data module, and a lighting intelligent control module.

[0051] The characteristic device data module is used to obtain the various historical interaction records between the user and each lighting device, analyze the interaction status between each lighting device and the user, and obtain the characteristic device data corresponding to the lighting device.

[0052] The first device data module is used to monitor each lighting device, obtain each historical device usage record 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;

[0053] The marked device data module is used to analyze the power consumption influence status among each lighting device to obtain the marked device data of the lighting device;

[0054] The lighting intelligent control module is used to monitor the lighting devices within the current cycle, and based on the marked device data and characteristic device data corresponding to the lighting devices, perform intelligent control on the lighting of each lighting device.

[0055] Furthermore, the characteristic device data module includes a first area inclination value unit and a characteristic device data unit;

[0056] The first area inclination value unit is used to obtain each area where each lighting device is located, gather the lighting devices within the same area, obtain each historical interaction record of each user corresponding to each lighting device, and calculate the first area inclination value of each user for each area;

[0057] The characteristic device data unit is used to screen each historical interaction record of each user within each lighting device, gather the device data information corresponding to each lighting device and the area data corresponding to the lighting device to obtain the characteristic device data corresponding to the lighting device.

[0058] Furthermore, the first device data module includes a first energy consumption value unit and a first device data unit;

[0059] 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;

[0060] The first device data unit is used to obtain each marked historical device usage record of each lighting device, gather each marked historical device usage record of each lighting device to obtain the first device data corresponding to the lighting device.

[0061] Furthermore, the marked device data module includes a first electricity quantity value unit and a marked device data unit;

[0063] The first electricity quantity value unit is used to obtain the sum of the electricity consumed during the overlapping usage periods of each historical device usage record of different lighting devices, and calculate the first electricity quantity value of the lighting device;

[0064] The marked device data unit is used to analyze the influence state of power consumption among various lighting devices, and obtain the marked device data of the lighting devices.

[0065] Furthermore, the intelligent lighting control module includes an intelligent lighting control unit;

[0066] The intelligent lighting control unit is used to obtain the characteristic device data corresponding to the lighting device, extract the area where each lighting device is located from it. When the area where the lighting device is located is the first area, obtain the marked device data of the lighting device, and perform intelligent control on the lighting of each lighting device.

[0067] Compared with the prior art, the beneficial effects of the present invention are as follows: The present invention realizes the intelligent control of the lighting of lighting devices. The areas where different lighting devices are located are different. Some lighting devices are in public areas such as the living room, and some lighting devices are in private areas such as the bedroom. The present invention can intelligently analyze the area where the lighting device is located, and can also analyze the mutual influence state among various lighting devices according to the interaction records and historical power consumption of the lighting devices, obtain the specific data information of the mutual influence among the lighting devices in the same area, and combine the area where the lighting device is located and the interaction records of the lighting device to realize the intelligent control of the lighting of lighting devices in different areas. Description of the Drawings

[0068] Figure 1 is the method flow chart of an intelligent lighting control method based on the Internet of Things according to the present invention;

[0069] Figure 2 is the module schematic diagram of an intelligent lighting control system based on the Internet of Things according to the present invention. Detailed Embodiment

[0070] Next, the technical solutions in the embodiments of the present invention will be clearly and completely described in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are only a part of the embodiments of the present invention, rather than all the embodiments. All other embodiments obtained by those of ordinary skill in the art based on the embodiments of the present invention without creative efforts shall fall within the protection scope of the present invention.

[0071] Embodiment: As Figure 1 - Figure 2 shown, the present invention provides a technical solution, an intelligent lighting control method based on the Internet of Things, and the method includes:

[0072] Step S100: Obtain each historical interaction record between the user and the lighting device, analyze the interaction state between the lighting device and the user, and obtain the characteristic device data corresponding to the lighting device;

[0073] Among them, step S100 includes:

[0074] Step S101: Build a lighting device control cloud platform, obtain the user accounts of each user logging in to the lighting device control cloud platform, use the user accounts as the basis for dividing each historical interaction record of the lighting device, analyze each historical interaction record of the lighting device, and obtain different historical interaction records corresponding to different users of the lighting device;

[0075] Step S102: Obtain the regions where each lighting device is located, gather 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 region inclination value Y of the d-th user for the a-th region a :

[0076]

[0077] where n is the number of lighting devices in the a-th region that contain the historical interaction records of the d-th user; B i a,d is the i-th lighting device in the a-th region that contains the historical interaction records of the d-th user, and is 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 the historical interaction records of the d-th user, and is 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;

[0078] Step S103: Conduct a region assessment on the a-th region to obtain the first region data corresponding to the a-th region. The assessment process is to obtain the first region inclination values of each user in the a-th region, set a first region inclination value threshold. When the first region inclination value of the d-th user in the a-th region is greater than the first region inclination values of each user and greater than or equal to the first region inclination value threshold, mark the a-th region as the first region and mark the d-th user as the first user of the a-th region. When the maximum value of the first region inclination values of each user in the a-th region is less than the first region inclination value threshold, mark the a-th region as the second region;

[0079] Step S104: Based on the obtained first region inclination values of each user in each region, evaluate each region where the lighting device is located to obtain the corresponding first region data of each region, and gather the first region data of each region to obtain region data;

[0080] Step S105: Calculate the first device occupancy rate P of the e-th user in the lighting device e :

[0081]

[0082] Among them, 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;

[0083] 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 occupancy rate P2 of the first device of the 2nd user in the lighting device:

[0084]

[0085] Step S106: Obtain the occupancy rate of the first device of each user in each lighting device, set the threshold of the occupancy rate of the first device, and screen the historical interaction records of the e-th user in the lighting device. The screening process includes, when the occupancy rate of the first device of the e-th user in the lighting device is less than the threshold of the occupancy rate of the first device, eliminating the historical interaction records corresponding to the e-th user in the lighting device;

[0086] Step S107: Screen the historical interaction records of each user in each lighting device, extract data information from the retained historical interaction records of each lighting device to obtain the device data information corresponding to each lighting device. The device data information is the device data of each item of the lighting device. Aggregate the device data information corresponding to each lighting device with the area data corresponding to the lighting device to obtain the characteristic device data corresponding to the lighting device;

[0087] For example, the device data of the lighting device includes the function data of each item of the lighting device;

[0088] Step S200: Monitor each lighting device, obtain each historical device usage record 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;

[0089] Among them, Step S200 includes:

[0090] 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;

[0091] Step S202: Calculate the first energy consumption value U of the f-th historical device usage record of the lighting device f :

[0092]

[0093] Among them, W fis the power consumption of the lighting device in the f-th historical device usage record; T f is the usage duration of the lighting device in the f-th historical device usage record;

[0094] For example, the power consumption of 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. Calculate the first energy consumption value U3 of the 3rd historical device usage record of the lighting device:

[0095]

[0096] Step S203: Obtain the first energy consumption values of each historical device usage record in each lighting device, and select the median of the first energy consumption values of each historical device usage record in the lighting device as the first reference energy consumption value of the lighting device;

[0097] Step S204: Obtain the first reference energy consumption values of each lighting device. When the first energy consumption value of the g-th historical device usage record in a lighting device is greater than the first reference energy consumption value, mark the g-th historical device usage record as a marked historical device usage record;

[0098] Step S205: Obtain each marked historical device usage record of each lighting device, and pool each marked historical device usage record of each lighting device to obtain the first device data corresponding to the lighting device;

[0099] Step S300: Analyze the power consumption influence status among each lighting device based on the first device data of the lighting device to obtain the marked device data of the lighting device;

[0100] Among them, Step S300 includes:

[0101] Step S301: Based on the regions where each lighting device is located, extract each marked historical device usage record in each lighting device in the same region from the first device data;

[0102] Step S302: Extract the usage period of the lighting device from the historical device usage record of the lighting device, obtain the usage periods of each historical device usage record of each lighting device. When there are overlapping usage periods of several historical device usage records for the k-th lighting device and the α-th lighting device in the h-th region, obtain the overlapping duration of the usage periods between the k-th lighting device and the α-th lighting device for each historical device usage record and accumulate it to obtain the total overlapping duration T of the usage periods between the k-th lighting device and the α-th lighting device for each historical device usage record (k,α) ;

[0103] Step S303: Obtain the overlapping periods of usage of the k-th lighting device and the α-th lighting device in each historical device usage record, and respectively obtain the sum of the electricity consumed by the k-th lighting device and the α-th lighting device during the overlapping periods of usage in each historical device usage record;

[0104] Step S304: Calculate the first electricity value X of the k-th lighting device when it is affected by the α-th lighting device (k,α) ;

[0105]

[0106] where V (k,α) is the sum of the electricity consumed by the k-th lighting device during the overlapping periods of usage of the k-th lighting device and the α-th lighting device in each historical device usage record;

[0107] Calculate the first electricity value X of the α-th lighting device when it is affected by the k-th lighting device (α,k) :

[0108]

[0109] where V (α,k) is the sum of the electricity consumed by the α-th lighting device during the overlapping periods of usage of the k-th lighting device and the α-th lighting device in each historical device usage record;

[0110] Step S305: Obtain the first energy consumption values of each lighting device in each historical device record, and take the average of the first energy consumption values of each historical device record of the lighting device to obtain the marked electricity value of the lighting device;

[0111] Step S306: Set the threshold of the second electricity change value for each lighting device, and calculate the second electricity change value Z of the k-th lighting device (k,α) = X (k,α) - Y k , where Y k is the marked electricity value of the k-th lighting device;

[0112] Calculate the second electricity change value Z of the α-th lighting device (α,k) = X (α,k) - Y α , Y α is the marked electricity value of the k-th lighting device;

[0113] Step S307: Obtain the second electricity change values between each lighting device, and analyze the state of the influence of the electricity consumption of the k-th lighting device and the α-th lighting device. The specific analysis process is that when the second electricity change value Z of the k-th lighting device (k,α)and the second power change value Z of the α-th lighting device (α,k) , both are greater than the corresponding second power change value threshold, it is determined that the power consumption of the k-th lighting device and the α-th lighting device affect each other. When only the second power change value Z of the k-th lighting device (k,α) is greater than the second power change value threshold, it is determined that the power consumption of the k-th lighting device is affected by the α-th lighting device. When only the second power change value Z of the k-th lighting device (k,α) is greater than the second power change value threshold, it is determined that the power consumption of the k-th lighting device is affected by the α-th lighting device;

[0114] Step S308: Analyze the power consumption influence status among the lighting devices to obtain the marked device data of the lighting devices;

[0115] Step S400: The lighting device control cloud platform monitors the lighting devices in the current cycle, and controls the lighting of the lighting devices based on the marked device data and characteristic device data corresponding to the lighting devices;

[0116] Among them, Step S400 includes:

[0117] Step S401: Obtain the characteristic device data corresponding to the lighting devices, extract the areas where each lighting device is located from it. When the area where the lighting device is located is the 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 control cloud platform monitors that the lighting device in the first area is in use, adjust the various 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 perform lighting;

[0118] 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 the various 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;

[0119] Step S403: Obtain the lighting devices used in each area in the current cycle, 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 duration of the user in the other lighting device. When the usage duration of the other lighting device is greater than the maximum usage duration, turn off the other lighting device or reduce the energy consumption, and control the lighting of each lighting device;

[0120] For example, when the power consumption of the γ-th lighting device in the m-th area is affected by the ε-th lighting device, obtain the user account of the user who controls the γ-th lighting device, obtain the maximum usage duration of the user in the γ-th lighting device, and when the usage duration of the γ-th lighting device is greater than the maximum usage duration, turn off the γ-th lighting device or reduce the energy consumption;

[0121] To better implement the above method, an intelligent lighting control system based on the Internet of Things is also proposed. The system includes a feature device data module, a first device data module, a marked device data module, and a lighting intelligent control module;

[0122] The feature device data module is used to obtain each historical interaction record between the user and each lighting device, analyze the interaction status between each lighting device and the user, and obtain the feature device data corresponding to the lighting device;

[0123] The first device data module is used to monitor each lighting device, obtain each historical device usage record 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;

[0124] The marked device data module is used to analyze the power consumption influence status between each lighting device to obtain the marked device data of the lighting device;

[0125] The lighting intelligent control module is used to monitor the lighting devices in the current cycle, and based on the marked device data and feature device data corresponding to the lighting devices, intelligently control the lighting of each lighting device;

[0126] Among them, the feature device data module includes a first area inclination value unit and a feature device data unit;

[0127] The first area inclination value unit is used to obtain each area where each lighting device is located, gather the lighting devices in the same area, obtain each historical interaction record corresponding to each lighting device by each user, and calculate the first area inclination value of each user for each area;

[0128] The feature device data unit is used to screen each historical interaction record of each user in each lighting device, gather the device data information corresponding to each lighting device and the area data corresponding to the lighting device, and obtain the feature device data corresponding to the lighting device;

[0129] Among them, the first device data module includes a first energy consumption value unit and a first device data unit;

[0130] 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;

[0131] The first device data unit is used to obtain each marked historical device usage record of each lighting device, collect each marked historical device usage record of each lighting device, and obtain the first device data corresponding to the lighting device;

[0132] Among them, the marked device data module includes a first power value unit and a marked device data unit;

[0133] The first power value unit is used to obtain the sum of the power consumed by different lighting devices during the overlapping usage periods of each historical device usage record, and calculate the first power value of the lighting device;

[0134] The marked device data unit is used to analyze the power consumption influence state between each lighting device to obtain the marked device data of the lighting device;

[0135] Among them, the lighting intelligent control module includes a lighting intelligent control unit;

[0136] The lighting intelligent control unit is used to obtain the characteristic device data corresponding to the lighting device, extract the area where each lighting device is located from it. When the area where the lighting device is located is the first area, obtain the marked device data of the lighting device and perform intelligent control on the lighting of each lighting device.

[0137] For those skilled in the art, it is obvious that the present invention is not limited to the details of the above exemplary embodiments, and without departing from the spirit or basic characteristics of the present invention, the present invention can be implemented in other specific forms. Therefore, from any point of view, the embodiments should be regarded as exemplary and non-limiting. The scope of the present invention is defined by the appended claims rather than the above description. Therefore, all changes falling within the meaning and scope of the equivalent elements of the claims are intended to be embraced within the present invention. Any reference signs in the claims should not be regarded as limiting the claimed rights.

Claims

1. An intelligent lighting control method based on the Internet of Things, characterized in that: The method comprises: Step S100: Acquire each historical interaction record between the user and the lighting device, analyze the interaction state between the lighting device and the user, and obtain characteristic device data corresponding to the lighting device; Step S200: monitor each lighting device, obtain each historical device usage record of each lighting device, and analyze the usage status and energy consumption of each lighting device to obtain first device data corresponding to the lighting device; Step S300: Based on the first device data of the lighting device, the power consumption influence state between the lighting devices is analyzed to obtain the marking device data of the lighting device; Step S400: The lighting equipment control cloud platform monitors the lighting equipment in the current cycle, and controls the lighting of the lighting equipment based on the marking device data and feature device data corresponding to the lighting equipment.

2. According to the method of intelligent lighting control based on the Internet of Things in claim 1, it is characterized in that: The step S100 includes: Step S101: constructing a lighting equipment control cloud platform, obtaining the user account of each user who logs into the lighting equipment control cloud platform, using the user account as the basis for dividing each historical interaction record of the lighting equipment, analyzing each historical interaction record of the lighting equipment, and obtaining different historical interaction records corresponding to different users of the lighting equipment; Step S102: Obtain each area where each lighting device is located, and aggregate the lighting devices in the same area, obtain the historical interaction records of each user corresponding to each lighting device, obtain each lighting device in the ath area, and calculate the first area tilt value Y of the dth user to the ath area a : Where n is the number of lighting devices in the ath area that have historical intersection records of the dth user; B i a,d is the total number of historical interaction records in the i-th lighting device containing the d-th user historical interaction record in the a-th area; C i a,d is the i-th lighting device in the a-th area that contains 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; Step S103: the ath region performs a region evaluation to obtain first region data corresponding to the ath region, wherein the evaluation process is to obtain the first region tilt value of each user in the ath region, set a first region tilt value threshold, and when the first region tilt value of the dth user in the ath 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 ath region is recorded as the first region, and the dth user is recorded as the first user in the ath region; when the maximum value of the first region tilt value of each user in the ath region is less than the first region tilt value threshold, the ath region is recorded as the second region; Step S104: Based on the first area tilt value of each user in each area, each area where the lighting device is located is evaluated to obtain the first area data of each corresponding area, and the first area data of each area is collected to obtain area data; Step S105: Calculate the first device occupancy rate P of the e-th user in the lighting device e : Among them, 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; Step S106: obtaining the first device occupancy rate of each user in each lighting device, setting a first device occupancy rate threshold, and screening the historical interaction records of the e-th user in the lighting device, wherein the screening 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, removing the corresponding historical interaction records of the e-th user in the lighting device; Step S107: Filter each historical interaction record of each user in each lighting device, extract data information from each retained historical interaction record of each lighting device, and obtain device data information corresponding to each lighting device. The device data information is the device data of each lighting device. The device data information corresponding to each lighting device is aggregated with the area data corresponding to the lighting device to obtain the characteristic device data corresponding to the lighting device.

3. The intelligent lighting control method based on the Internet of Things according to claim 2 is characterized in that: The step S200 includes: 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; Step S202: Calculate the first energy consumption value U of the f-th historical device usage record of the lighting device f : Among them, W f is the power consumed by the lighting equipment in the fth historical equipment usage record; T f The duration of lighting equipment use in the fth historical equipment use record; Step S203: obtaining the first energy consumption value of each historical device usage record in each lighting device, and selecting 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: obtaining a first comparison energy consumption value of each lighting device, and when the first energy consumption value of the g-th historical device usage record in the lighting device is greater than the first comparison energy consumption value, recording the g-th historical device usage record as a marked historical device usage record; Step S205: Acquire each marked historical device usage record of each lighting device, collect each marked historical device usage record of each lighting device, and obtain first device data corresponding to the lighting device.

4. The intelligent lighting control method based on the Internet of Things according to claim 2 is characterized in that: The step S300 includes: Step S301: based on the acquired areas where each lighting device is located, extracting each marked historical device usage record in each lighting device in the same area from the first device data; Step S302: extract the use time period of the lighting equipment from the historical equipment use record of the lighting equipment, obtain the use time period of each historical equipment use record of each lighting equipment, when there is a kth lighting equipment and an αth lighting equipment in the hth area, and there are several historical equipment use records with overlapping use time periods, obtain the overlapping time length of the use time period between the kth lighting equipment and the αth lighting equipment in each historical equipment use record, and accumulate them to obtain the total overlapping time length T of the use time period between the kth lighting equipment and the αth lighting equipment in each historical equipment use record (k,α) ; Step S303: Obtain the overlapping time periods of the kth lighting device and the αth lighting device in each historical device usage record, and respectively obtain the sum of the power consumed by the kth lighting device and the αth lighting device in the overlapping time periods of each historical device usage record; Step S304: Calculate the first power value X of the kth lighting device when the kth lighting device is affected by the αth lighting device. (k,α) ; Among them, V (k,α) is the sum of the power consumed by the kth lighting device and the αth lighting device during the overlapping periods of the historical device usage records; When calculating the first power value X of the αth lighting device when the αth lighting device is affected by the kth lighting device (α,k) : Among them, V (α,k) is the sum of the power consumed by the kth lighting device and the αth lighting device during the overlapping period of use records of each historical device; Step S305: obtaining the first energy consumption value of each lighting device in each historical device record, taking the average value of the first energy consumption value of each historical device record of the lighting device, and obtaining the marked power value of the lighting device; Step S306: Set the second power change value threshold of each lighting device, and calculate the second power change value Z of the kth lighting device. (k,α) =X (k,α) -Y k , where Y k is the marked power value of the kth lighting device; Calculate the second power change value Z of the αth lighting device (α,k) =X (α,k) -Y α , Y α is the marked power value of the kth lighting device; Step S307: Obtain the second power change value between each lighting device, and analyze the power consumption influence state 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 is (k,α) and the second power change value Z of the αth lighting device (α,k) , are greater than the corresponding second power change value threshold, it is judged that the power consumption of the k-th lighting device and the α-th lighting device affects each other. When only the second power change value Z of the k-th lighting device (k,α) is greater than the second power change value threshold, it is determined that the power consumption of the kth lighting device is affected by the αth lighting device. When only the second power change value Z of the kth lighting device is (k,α) is greater than the second power change value threshold, 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 power consumption influence status between the lighting devices to obtain the marking device data of the lighting devices.

5. The intelligent lighting control method based on the Internet of Things according to claim 4 is characterized in that: The step S400 includes: Step S401: Acquire characteristic device data corresponding to the lighting device, extract the area where each lighting device is located, and when the area where the lighting device is located is the first area, acquire 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 control cloud platform detects that the lighting device in the first area is used, adjust the various 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; Step S402: when the area where the lighting device is located is the second area, obtain the user account of the user who controls the lighting device, and adjust various device data of the lighting device based on the device data information of the user in the lighting device to control the lighting of the lighting device; Step S403: Obtain the lighting devices used in each area in the current cycle, obtain the marking device data of the lighting devices, 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 who controls the other lighting device, and obtain the maximum usage time of the user in the other lighting device. When the usage time of the other lighting device is greater than the maximum usage time, shut down the other lighting device or reduce the energy consumption, and control the lighting of each lighting device.

6. An intelligent lighting control system based on the Internet of Things, used to execute an intelligent lighting control method based on the Internet of Things as described in any one of claims 1 to 5, characterized in that: The system includes a characteristic device data module, a first device data module, a marking device data module and a lighting intelligent control module; The characteristic device data module is used to obtain each historical interaction record between the user and each lighting device, analyze the interaction status between each lighting device and the user, and obtain the characteristic device data corresponding to the lighting device; The first device data module is used to monitor each lighting device, obtain each historical device usage record 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 power consumption influence status between various lighting devices to obtain the marking device data of 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 marking equipment data and characteristic equipment data corresponding to the lighting equipment.

7. The intelligent lighting control system based on the Internet of Things according to claim 6 is characterized in that: The characteristic device data module includes a first region tilt value unit and a characteristic device data unit; The first area tilt value unit is used to obtain each area where each lighting device is located, and to gather lighting devices in the same area, to obtain the historical interaction records of each user corresponding to each lighting device, and to calculate the first area tilt value of each user for each area; The characteristic device data unit is used to screen each historical interaction record of each user in each lighting device, collect the device data information corresponding to each lighting device and the area data corresponding to the lighting device, and obtain the characteristic device data corresponding to the lighting device.

8. The intelligent lighting control system based on the Internet of Things according to claim 6 is 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 obtain each marked historical device usage record of each lighting device, collect each marked historical device usage record of each lighting device, and obtain the first device data corresponding to the lighting device.

9. The intelligent lighting control system based on the Internet of Things according to claim 6 is characterized in that: The marking device data module includes a first power value unit and a marking device data unit; The first power value unit is used to obtain the sum of power consumed by different lighting devices during the overlapping usage time periods of each historical device usage record, and calculate the first power value of the lighting device; The marking device data unit is used to analyze the power consumption influence status between various lighting devices to obtain the marking device data of the lighting devices.

10. The intelligent lighting control system based on the Internet of Things according to claim 6, characterized in that: The lighting intelligent control module includes a lighting intelligent control unit; The lighting intelligent control unit is used to obtain the characteristic 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, obtain the marking device data of the lighting equipment to intelligently control the lighting of each lighting equipment.

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