A wireless positioning method for an organic electroluminescent material lighting system

Abstract

The present invention provides a wireless positioning method for an organic electroluminescent material lighting system, which relates to the field of organic electroluminescent technology, including: setting a detector to receive and process a transmission signal of the lighting system to obtain first device positioning information; analyzing WiFi signal data obtained by the lighting device from a set WiFi access point to obtain second device positioning information; using a preset positioning algorithm, based on key positioning information obtained by combining and analyzing the first device positioning information with the second device positioning information, determining the position coordinates of the lighting device. By using a set detector to process the transmission signal of the lighting system to obtain the first device positioning information; analyzing the WiFi signal data obtained by the lighting device from a set WiFi access point to obtain the second device positioning information; using a preset positioning algorithm, based on the key positioning information obtained by the first device positioning information and the second device positioning information, determining the position coordinates of the lighting device can effectively improve the wireless positioning accuracy of the lighting system.

Description

Technical Field

[0001] The invention relates to the field of organic electrical technology, and in particular to a wireless positioning method for an illumination system of organic electroluminescent materials. Background Art

[0002] In recent years, with the continuous development of organic electroluminescent technology, its application in the field of lighting has become increasingly widespread. Organic electroluminescent lighting equipment has gradually replaced traditional lighting methods with its advantages such as high efficiency, low power consumption, and good light quality. However, in large-scale lighting systems, how to quickly and accurately locate the position of each organic electroluminescent lighting device for maintenance, management, and optimization has become an urgent problem to be solved.

[0003] Therefore, the present invention provides a wireless positioning method for an organic electroluminescent material lighting system. Summary of the invention

[0004] The present invention provides a wireless positioning method for an organic electroluminescent material lighting system, which is used to obtain first device positioning information by processing a transmission signal of the lighting system using a set detector; analyze WiFi signal data obtained by the lighting device from a set WiFi access point to obtain second device positioning information; and use a preset positioning algorithm to determine the position coordinates of the lighting device based on key positioning information obtained from the first device positioning information and the second device positioning information, thereby effectively improving the wireless positioning accuracy of the lighting system.

[0005] The present invention provides a wireless positioning method for an organic electroluminescent material lighting system, comprising:

[0006] Step 1: using a set detector to receive the transmission signal of the target lighting system in real time, and performing signal processing to obtain the first device positioning information;

[0007] Step 2: Analyze the WiFi signal data acquired by the current lighting device from the set WiFi access point in real time to obtain the second device positioning information;

[0008] Step 3: combining the first device location information with the second device location information for analysis to obtain key location information;

[0009] Step 4: Determine the location coordinates of the lighting equipment based on the key positioning information;

[0010] The method of using a set detector to receive the transmission signal of the target lighting system in real time and performing signal processing to obtain the first device positioning information includes:

[0011] Perform RSSI analysis and signal arrival analysis on the signals emitted by the lighting equipment in the target lighting system, and obtain first positioning information and second positioning information accordingly;

[0012] When the first positioning information and the second positioning information are consistent, outputting the first positioning information as the first device positioning information of the current lighting device;

[0013] When the first positioning information and the second positioning information are inconsistent, obtaining a first detection distance between the current lighting device and the first detector;

[0014] The positioning reliability coefficient is obtained by combining the signal arrival time of the first detector with the first detection distance for analysis;

[0015] When the positioning reliability coefficient is greater than a set reliability threshold, outputting the second positioning information as the first device positioning information of the current lighting device;

[0016] When the positioning reliability coefficient is not greater than a set reliability threshold, the first positioning information is output as the first device positioning information of the current lighting device.

[0017] Preferably, using a set detector to receive the transmission signal of the target lighting system in real time and performing signal processing to obtain the first device positioning information also includes:

[0018] Install a number of set detectors at preset positions within the target lighting system deployment area;

[0019] The lighting equipment in the target lighting system flashes at a high speed according to the corresponding set flashing frequency to achieve signal transmission;

[0020] Using the set detector to receive in real time the device transmission signal currently transmitted by the corresponding adapted lighting device in the target lighting system;

[0021] Signal processing and information extraction are performed on the device transmission signal to obtain the first device positioning information.

[0022] Preferably, the device transmission signal includes the lighting device identification, transmission power and current device flashing frequency.

[0023] Preferably, RSSI analysis and signal arrival analysis are performed on the signals emitted by the lighting equipment in the target lighting system to obtain the first positioning information and the second positioning information accordingly, including:

[0024] Mark all set detectors that are compatible with the current lighting device as the first detector;

[0025] The first detector receives a device transmission signal sent by the current lighting device and converts it into a first electrical signal;

[0026] Amplifying the first electrical signal using a set amplifier and then performing analog-to-digital conversion to obtain a key digital signal;

[0027] Performing RSSI measurement on the key digital signal to obtain a first signal strength value;

[0028] Matching the first signal strength value with data in a set RSSI database to obtain a reference RSSI value with the highest RSSI similarity coefficient with the current first signal strength value, and treating the corresponding position information of the reference RSSI value as reference position information;

[0029] Performing filtering processing on all acquired reference position information to obtain first analysis reference position information;

[0030] Outputting the corresponding first analysis reference location information whose RSSI similarity coefficient is greater than the set dynamic similarity threshold as candidate location information;

[0031] If there is a single candidate position information, the current candidate position is output as the first positioning information;

[0032] If there are multiple candidate position information, all candidate position information are fused using a set fusion algorithm to obtain the first positioning information and output it;

[0033] determining a signal arrival time based on a timestamp recorded when the first detector receives the signal;

[0034] Pair all first detectors in pairs to obtain detector pairs, and then obtain the signal arrival time difference of each pair of detectors;

[0035] The corresponding signal arrival times of all first detectors and the signal arrival time differences of all detector pairs are input into a pre-established multi-variable positioning estimation model to output second positioning information.

[0036] Preferably, the positioning reliability coefficient is obtained by combining and analyzing the signal arrival time of the first detector with the first detection distance, including:

[0037] Sort all first detectors in ascending order according to the first detection distance between the first detector and the current lighting device to obtain a first detector list;

[0038] Taking the signal arrival time as the dependent variable and the first detection distance as the independent variable, a first distance-signal arrival curve is constructed according to the order of the first detector list;

[0039] Taking the signal arrival time as the dependent variable and the first detection distance as the independent variable, a second distance-signal arrival curve is constructed in the reverse order of the first detector list;

[0040] Extracting the initial signal arrival time of the first detector and the corresponding split signal arrival time of the intermediate moment from the detector database;

[0041] Taking the initial signal arrival time as the dependent variable and the first detection distance as the independent variable, the initial distance-signal arrival curve is constructed according to the order of the first detector list;

[0042] The arrival time of the middle-division signal is taken as the dependent variable, the first detection distance is taken as the independent variable, and the middle-division distance-signal arrival curve is constructed according to the order of the first detector list;

[0043] Based on the curve area and trend characteristics extracted from all the acquired distance-signal arrival curves, a comprehensive analysis is performed to obtain the positioning reliability coefficient;

[0044] The calculation formula of the positioning reliability coefficient is as follows:

[0045] ; In the formula, Expressed as positioning reliability coefficient; 1 represents the maximum time interval between the arrival time of the intermediate signal and the arrival time of the initial signal in all the first detectors; It is expressed as the maximum time interval between the arrival time of the current signal and the arrival time of the intermediate signal in all the first detectors; It is expressed as the curve area of ​​the initial distance-signal arrival curve; It is expressed as the area of ​​the curve that divides the distance-signal arrival curve; It is expressed as the curve area of ​​the first distance-signal arrival curve; It is expressed as the curve area of ​​the second distance-signal arrival curve; It is represented as the value of the i-th trend feature of the initial distance-signal arrival curve, where i=1, 2, , n; n represents the total number of trend features; It is expressed as the value of the i-th trend feature of the mid-range-signal arrival curve; It is represented as the value of the ith trend feature of the first distance-signal arrival curve; It is represented as the influence weight of the ith trend feature on the analyzed trend change; e is represented as a constant with a value of 2.7.

[0046] Preferably, analyzing the WiFi signal data acquired by the current lighting device from the set WiFi access point in real time to obtain the second device positioning information includes:

[0047] Obtain the WiFi signal strength and phase information received by the current lighting device from each set WiFi access point in real time, and obtain some key signal strength and key phase information after data cleaning and calibration;

[0048] From the set WIFI signal database, the current lighting device and the corresponding key signal strength and key phase information are used as matching conditions to match and obtain the WIFI location information;

[0049] All acquired WIFI location information is integrated and processed to generate and output second device location information.

[0050] Preferably, the first device location information is combined with the second device location information for analysis to obtain key location information, including:

[0051] Using a preset positioning evaluation mechanism, performing positioning evaluation on the first device positioning information and the second device positioning information respectively, and correspondingly obtaining a first evaluation coefficient and a second evaluation coefficient;

[0052] When both the first evaluation coefficient and the second evaluation coefficient are greater than the set evaluation threshold, the corresponding device positioning information with the greater evaluation coefficient is output as the key positioning information;

[0053] When the first evaluation coefficient is greater than the set evaluation threshold, and the second evaluation coefficient is not greater than the set evaluation threshold, outputting the first device positioning information as key positioning information;

[0054] When the first evaluation coefficient is not greater than the set evaluation threshold, and the second evaluation coefficient is greater than the set evaluation threshold, outputting the second device positioning information as key positioning information;

[0055] When both the first evaluation coefficient and the second evaluation coefficient are not greater than the set evaluation threshold, the first device positioning information and the second device positioning information are fused based on the first evaluation coefficient and the second evaluation coefficient to obtain and output key positioning information.

[0056] Preferably, based on the first evaluation coefficient and the second evaluation coefficient, the first device positioning information and the second device positioning information are fused to obtain key positioning information and output it, including:

[0057] Based on the first evaluation coefficient and the second evaluation coefficient, the coordinate information in the first device positioning information and the second device positioning information are fused using a set fusion algorithm to obtain first fused positioning information;

[0058] Inputting the first device positioning information and the second device positioning information into a Kalman filter to obtain second fused positioning information;

[0059] Inputting the first fused positioning information and the second fused positioning information into a pre-established result verification model, and outputting a fused positioning verification value;

[0060] The fused positioning information with a larger fused positioning check value between the first fused positioning information and the second fused positioning information is output as the key positioning information.

[0061] Compared with the prior art, the present invention has the following beneficial effects:

[0062] The first device positioning information is obtained by using a set detector to process the transmission signal of the lighting system; the second device positioning information is obtained by analyzing the WiFi signal data obtained by the lighting device from the set WiFi access point; and the preset positioning algorithm is used to determine the position coordinates of the lighting device based on the key positioning information obtained based on the first device positioning information and the second device positioning information, which can effectively improve the wireless positioning accuracy of the lighting system.

[0063] Other features and advantages of the present invention will be described in the following description, and partly become apparent from the description, or understood by practicing the present invention. The purpose and other advantages of the present invention can be realized and obtained by the structures particularly pointed out in the written description and the accompanying drawings.

[0064] The technical solution of the present invention is further described in detail below through the accompanying drawings and embodiments. BRIEF DESCRIPTION OF THE DRAWINGS

[0065] The accompanying drawings are used to provide a further understanding of the present invention and constitute a part of the specification. Together with the embodiments of the present invention, they are used to explain the present invention and do not constitute a limitation of the present invention. In the accompanying drawings:

[0066] Figure 1 The present invention is a flowchart of a wireless positioning method for an organic electroluminescent material lighting system according to an embodiment of the present invention. DETAILED DESCRIPTION

[0067] The preferred embodiments of the present invention are described below in conjunction with the accompanying drawings. It should be understood that the preferred embodiments described herein are only used to illustrate and explain the present invention, and are not used to limit the present invention.

[0068] The embodiment of the present invention provides a wireless positioning method for an organic electroluminescent material lighting system, such as Figure 1 As shown, including:

[0069] Step 1: using a set detector to receive the transmission signal of the target lighting system in real time, and performing signal processing to obtain the first device positioning information;

[0070] Step 2: Analyze the WiFi signal data acquired by the current lighting device from the set WiFi access point in real time to obtain the second device positioning information;

[0071] Step 3: combining the first device location information with the second device location information for analysis to obtain key location information;

[0072] Step 4: Determine the location coordinates of the lighting equipment based on the key positioning information;

[0073] The method of using a set detector to receive the transmission signal of the target lighting system in real time and performing signal processing to obtain the first device positioning information includes:

[0074] Perform RSSI analysis and signal arrival analysis on the signals emitted by the lighting equipment in the target lighting system, and obtain first positioning information and second positioning information accordingly;

[0075] When the first positioning information and the second positioning information are consistent, outputting the first positioning information as the first device positioning information of the current lighting device;

[0076] When the first positioning information and the second positioning information are inconsistent, obtaining a first detection distance between the current lighting device and the first detector;

[0077] The positioning reliability coefficient is obtained by combining the signal arrival time of the first detector with the first detection distance for analysis;

[0078] When the positioning reliability coefficient is greater than a set reliability threshold, outputting the second positioning information as the first device positioning information of the current lighting device;

[0079] When the positioning reliability coefficient is not greater than a set reliability threshold, the first positioning information is output as the first device positioning information of the current lighting device.

[0080] In this embodiment, the detector is set to refer to a photodetector, such as a photodiode or a photoresistor, which is used to receive signals from lighting equipment in the target lighting system; the lighting system refers to a system based on providing lighting, which is widely used in various fields, including home, business, industry, public facilities, etc. The target lighting system refers to a lighting system using organic electroluminescent materials as a light source, that is, a lighting equipment; the WiFi access point is set to refer to a WiFi network device that is pre-installed and configured in the target lighting system deployment area, and the WiFi network device can transmit WiFi signals and provide network connections for nearby devices (such as lighting equipment); the lighting equipment refers to various devices in the target lighting system that provide lighting effects by emitting light, and as a signal transmission source, transmit positioning information through a specific flashing frequency or WiFi signal data; the key positioning information is the position coordinates of the current lighting device determined by combining and analyzing the positioning information of the first device and the positioning information of the second device.

[0081] In this embodiment, the first positioning information refers to the preliminary position information of the current lighting device, which may be a single candidate position information (when there is only one candidate position information), or may be obtained by setting a fusion algorithm to fuse multiple candidate position information (when there are multiple candidate position information); the candidate position information refers to the first analysis reference position information whose RSSI similarity coefficient is greater than the set dynamic similarity threshold; the second positioning information refers to the device positioning information generated by inputting the multi-variable positioning estimation model by using the corresponding signal arrival time of all first detectors and the signal arrival time difference of all detector pairs as input; the first detection distance refers to the distance between the lighting device and the first detector; the positioning reliability coefficient is used to characterize the reliability of the second positioning information obtained based on signal processing and information extraction; the set reliability threshold is predetermined and is generally 0.75.

[0082] In this embodiment, the first device positioning information may be the second positioning information (when the positioning reliability coefficient is greater than the set reliability threshold), or may refer to the first positioning information (when the positioning reliability coefficient is not greater than the set reliability threshold).

[0083] The beneficial effects of the above technical solution are: the first device positioning information is obtained by using a set detector to process the transmission signal of the lighting system; the second device positioning information is obtained by analyzing the WiFi signal data obtained by the lighting device from the set WiFi access point; a preset positioning algorithm is used to determine the position coordinates of the lighting device based on the key positioning information obtained based on the first device positioning information and the second device positioning information, which can effectively improve the wireless positioning accuracy of the lighting system.

[0084] The embodiment of the present invention provides a wireless positioning method for an organic electroluminescent material lighting system, which uses a set detector to receive a transmission signal of a target lighting system in real time, and performs signal processing to obtain first device positioning information, and further includes:

[0085] Install a number of set detectors at preset positions within the target lighting system deployment area;

[0086] The lighting equipment in the target lighting system flashes at a high speed according to the corresponding set flashing frequency to achieve signal transmission;

[0087] Using the set detector to receive in real time the device transmission signal currently transmitted by the corresponding adapted lighting device in the target lighting system;

[0088] Signal processing and information extraction are performed on the device transmission signal to obtain the first device positioning information.

[0089] In this embodiment, the set detector refers to a photodetector, such as a photodiode or a photoresistor, which is used to receive signals from lighting equipment in a target lighting system; a lighting system refers to a system based on providing lighting, which is widely used in various fields, including homes, businesses, industries, public facilities, etc. The target lighting system refers to a lighting system that uses organic electroluminescent materials as light sources, that is, lighting equipment; the target lighting system deployment area refers to the entire area covered by the target lighting system; the set flicker frequency is predetermined, and different lighting equipment may have different set flicker frequencies; the device transmission signal includes a lighting equipment identification, a transmission power, and a current device flicker frequency, wherein the current device flicker frequency refers to the set flicker frequency of the current lighting equipment; the first device positioning information refers to the positioning information of the lighting equipment obtained by processing and analyzing the device transmission signal, such as signal strength, signal arrival time, and device location coordinates.

[0090] The beneficial effect of the above technical solution is: by using the set detector to receive and process the transmission signal of the target lighting system in real time, the first device positioning information is obtained, which can provide data support for the accurate wireless positioning of the lighting device.

[0091] The embodiment of the present invention provides a wireless positioning method for an organic electroluminescent material lighting system, which performs RSSI analysis and signal arrival analysis on a signal emitted by a lighting device in a target lighting system, and correspondingly obtains first positioning information and second positioning information, including:

[0092] Mark all set detectors that are compatible with the current lighting device as the first detector;

[0093] The first detector receives a device transmission signal sent by the current lighting device and converts it into a first electrical signal;

[0094] Amplifying the first electrical signal using a set amplifier and then performing analog-to-digital conversion to obtain a key digital signal;

[0095] Performing RSSI measurement on the key digital signal to obtain a first signal strength value;

[0096] Matching the first signal strength value with data in a set RSSI database to obtain a reference RSSI value with the highest RSSI similarity coefficient with the current first signal strength value, and treating the corresponding position information of the reference RSSI value as reference position information;

[0097] Performing filtering processing on all acquired reference position information to obtain first analysis reference position information;

[0098] Outputting the corresponding first analysis reference location information whose RSSI similarity coefficient is greater than the set dynamic similarity threshold as candidate location information;

[0099] If there is a single candidate position information, the current candidate position is output as the first positioning information;

[0100] If there are multiple candidate position information, all candidate position information are fused using a set fusion algorithm to obtain the first positioning information and output it;

[0101] determining a signal arrival time based on a timestamp recorded when the first detector receives the signal;

[0102] Pair all first detectors in pairs to obtain detector pairs, and then obtain the signal arrival time difference of each pair of detectors;

[0103] The corresponding signal arrival times of all first detectors and the signal arrival time differences of all detector pairs are input into a pre-established multi-variable positioning estimation model to output second positioning information.

[0104] In this embodiment, the first detector refers to a set detector adapted to the current lighting device, and the set detectors adapted to different lighting devices may be different; the first electrical signal refers to the electrical signal obtained after the first detector converts the received device transmission signal; the set amplifier is predetermined, and the user shapes and amplifies the first electrical signal to improve the clarity and accuracy of the signal, such as a DMX signal amplifier; the key digital signal is obtained by amplifying the first electrical signal and then converting it into an analog-to-digital signal; the first signal strength value is obtained by performing RSSI measurement on the key digital signal, that is, by measuring the amplitude or power of the signal.

[0105] In this embodiment, an RSSI database is set to be composed of RSSI values ​​of different beacons measured at fixed indoor locations and their corresponding location information; the RSSI similarity coefficient is used to express the similarity between the currently measured RSSI value and the reference RSSI value in the set RSSI database, which is obtained by a cosine similarity algorithm; the reference RSSI value refers to the RSSI value in the set RSSI database with the largest RSSI similarity coefficient with the RSSI value measured online; the reference location information refers to the location information corresponding to the reference RSSI value in the set RSSI database; the first analysis reference location information refers to the location information obtained after filtering the acquired reference location information, wherein the filtering process can remove some noise and outliers, thereby improving the accuracy of positioning; the dynamic similarity threshold is set to be predetermined, generally 0.8; the fusion algorithm is set to be an algorithm used to fuse multiple candidate location information to obtain the final positioning result, such as a weighted average fusion algorithm.

[0106] In this embodiment, the first positioning information refers to the preliminary position information of the current lighting device, which may be a single candidate position information (when there is only one candidate position information), or may be obtained by setting a fusion algorithm to fuse multiple candidate position information (when there are multiple candidate position information); the candidate position information refers to the first analysis reference position information whose RSSI similarity coefficient is greater than the set dynamic similarity threshold; the signal arrival time refers to the moment when the first detector receives the device transmission signal transmitted from the lighting device; the detector pair refers to the combination obtained by pairing the first detectors in pairs; the signal arrival time difference refers to the time difference when the first detectors in each pair of detectors receive the same signal.

[0107] In this embodiment, the multi-variable positioning estimation model is obtained by preprocessing the signal arrival time and signal arrival time difference data of a large number of known location points collected, extracting the first data features to obtain the first feature, such as signal strength, signal frequency, distance or distance difference calculated based on TOA and TDOA, etc., annotating the location information of the location points of the first data and then combining it with the first feature as training data to train the neural network, which is used to output corresponding location information according to the input signal arrival time and signal arrival time difference; the second positioning information refers to the device positioning information generated by inputting the multi-variable positioning estimation model using the corresponding signal arrival time of all first detectors and the signal arrival time difference of all detector pairs as input.

[0108] The beneficial effect of the above technical solution is: by performing signal processing and information extraction on the device transmission signal through the detector, the first device positioning information is obtained, which can provide data support for the accurate wireless positioning of the lighting device and improve the positioning accuracy.

[0109] The embodiment of the present invention provides a wireless positioning method for an organic electroluminescent material lighting system, which obtains a positioning reliability coefficient by combining and analyzing the signal arrival time of a first detector with a first detection distance, including:

[0110] Sort all first detectors in ascending order according to the first detection distance between the first detector and the current lighting device to obtain a first detector list;

[0111] Taking the signal arrival time as the dependent variable and the first detection distance as the independent variable, a first distance-signal arrival curve is constructed according to the order of the first detector list;

[0112] Taking the signal arrival time as the dependent variable and the first detection distance as the independent variable, a second distance-signal arrival curve is constructed in the reverse order of the first detector list;

[0113] Extracting the initial signal arrival time of the first detector and the intermediate signal arrival time from the detector database;

[0114] Taking the initial signal arrival time as the dependent variable and the first detection distance as the independent variable, the initial distance-signal arrival curve is constructed according to the order of the first detector list;

[0115] The arrival time of the middle-division signal is taken as the dependent variable, the first detection distance is taken as the independent variable, and the middle-division distance-signal arrival curve is constructed according to the order of the first detector list;

[0116] Based on the curve area and trend characteristics extracted from all the acquired distance-signal arrival curves, a comprehensive analysis is performed to obtain the positioning reliability coefficient;

[0117] The calculation formula of the positioning reliability coefficient is as follows:

[0118] ; In the formula, Expressed as positioning reliability coefficient; 1 represents the maximum time interval between the arrival time of the intermediate signal and the arrival time of the initial signal in all the first detectors; It is expressed as the maximum time interval between the arrival time of the current signal and the arrival time of the intermediate signal in all the first detectors; It is expressed as the curve area of ​​the initial distance-signal arrival curve; It is expressed as the area of ​​the curve that divides the distance-signal arrival curve; It is expressed as the curve area of ​​the first distance-signal arrival curve; It is expressed as the curve area of ​​the second distance-signal arrival curve; It is represented as the value of the i-th trend feature of the initial distance-signal arrival curve, where i=1, 2, , n; n represents the total number of trend features; It is expressed as the value of the i-th trend feature of the mid-range-signal arrival curve; It is represented as the value of the ith trend feature of the first distance-signal arrival curve; It is represented as the influence weight of the ith trend feature on the analyzed trend change; e is represented as a constant with a value of 2.7.

[0119] In this embodiment, the first detection distance refers to the distance from the first detector to the lighting device; the first detector list is obtained by sorting all the first detectors from small to large according to the first detection distance between the first detector and the current lighting device.

[0120] In this embodiment, the first distance-signal arrival curve is constructed by taking the signal arrival time as the dependent variable and the detection distance as the independent variable in the order of the first detector list; the second distance-signal arrival curve is constructed by taking the signal arrival time as the dependent variable and the detection distance as the independent variable in the reverse order of the first detector list; the initial signal arrival time refers to the moment when the first detector first receives the signal emitted by the lighting device; the intermediate signal arrival time refers to the moment when the first detector first receives the signal emitted by the lighting device; The moment when the first detector receives the signal emitted by the lighting device for the first time (when n is an even number), or the moment when the first detector receives the signal emitted by the lighting device for the first time (when n is an even number), or The time when the first detector receives the signal emitted by the lighting device for the first time (when n is an odd number), wherein n represents the total number of times the first detector currently receives the signal emitted by the lighting device.

[0121] In this embodiment, the initial distance-signal arrival curve is obtained by taking the initial signal arrival time as the dependent variable and the first detection distance as the independent variable, and constructing it in the order of the first detector list; the median distance-signal arrival curve is obtained by taking the median signal arrival time as the dependent variable and the first detection distance as the independent variable, and constructing it in the order of the first detector list; the trend characteristics include the absolute difference between the extreme point and the average value, the slope and the curvature; the positioning reliability coefficient is used to characterize the positioning reliability of the second positioning information obtained based on signal processing and information extraction.

[0122] The beneficial effect of the above technical solution is: by analyzing the arrival time of the corresponding signal of the first detector and the detection distance of the current lighting device, the positioning reliability coefficient is obtained, which can provide a data basis for determining the positioning reliability of the second positioning information.

[0123] The embodiment of the present invention provides a wireless positioning method for a lighting system of an organic electroluminescent material, which analyzes WiFi signal data acquired by a current lighting device from a set WiFi access point in real time to obtain second device positioning information, including:

[0124] Obtain the WiFi signal strength and phase information received by the current lighting device from each set WiFi access point in real time, and obtain some key signal strength and key phase information after data cleaning and calibration;

[0125] From the set WIFI signal database, the current lighting device and the corresponding key signal strength and key phase information are used as matching conditions to match and obtain the WIFI location information;

[0126] All acquired WIFI location information is integrated and processed to generate and output second device location information.

[0127] In this embodiment, the set WiFi access point refers to a WiFi network device pre-installed and configured in the target lighting system deployment area, which can transmit WiFi signals and provide network connections for nearby devices (such as lighting devices); WiFi signal strength refers to the signal strength change caused by factors such as distance attenuation and obstacle blocking during the propagation of WiFi signals; phase information is used to reflect the phase delay on the WiFi signal propagation path; the key signal strength is obtained after data cleaning and calibration of the currently acquired WiFi signal strength; the key phase information is obtained after data cleaning and calibration of the currently acquired phase information; the set WiFi signal database is composed of WiFi signal strength and phase information measured at different locations in advance, and corresponding location information; the WiFi location information refers to the location information matched from the set WiFi signal database by using the current lighting device and the corresponding key signal strength and key phase information as matching conditions; the second device positioning information is the positioning information obtained by fusing all the acquired WiFi location information using the set fusion algorithm, such as the location information of the WiFi access point, the WiFi signal strength and phase information, and the device location coordinates; the set fusion algorithm refers to the weighted average fusion algorithm.

[0128] The beneficial effect of the above technical solution is: by analyzing the WiFi signal data obtained by the current lighting device from the set WiFi access point in real time, the second device positioning information is obtained, which can provide data support for the accurate wireless positioning of the lighting device.

[0129] The embodiment of the present invention provides a wireless positioning method for an organic electroluminescent material lighting system, which combines and analyzes the first device positioning information and the second device positioning information to obtain key positioning information, including:

[0130] Using a preset positioning evaluation mechanism, performing positioning evaluation on the first device positioning information and the second device positioning information respectively, and correspondingly obtaining a first evaluation coefficient and a second evaluation coefficient;

[0131] When both the first evaluation coefficient and the second evaluation coefficient are greater than the set evaluation threshold, the corresponding device positioning information with the greater evaluation coefficient is output as the key positioning information;

[0132] When the first evaluation coefficient is greater than the set evaluation threshold, and the second evaluation coefficient is not greater than the set evaluation threshold, outputting the first device positioning information as key positioning information;

[0133] When the first evaluation coefficient is not greater than the set evaluation threshold, and the second evaluation coefficient is greater than the set evaluation threshold, outputting the second device positioning information as key positioning information;

[0134] When both the first evaluation coefficient and the second evaluation coefficient are not greater than the set evaluation threshold, the first device positioning information and the second device positioning information are fused based on the first evaluation coefficient and the second evaluation coefficient to obtain and output key positioning information.

[0135] In this embodiment, the preset positioning evaluation mechanism refers to using the set evaluation index to evaluate the accuracy of the corresponding device positioning information to obtain the evaluation index value, and then obtaining the corresponding evaluation coefficient after weighted average calculation of the obtained evaluation index value, wherein the corresponding set evaluation index of the first device positioning information includes data integrity, data logic, signal quality and environmental impact; the corresponding set evaluation index of the second device positioning information includes data integrity, data logic, WIFI signal quality and environmental impact; wherein data integrity refers to whether the device positioning information contains all necessary positioning parameters, such as coordinates and timestamps; data logic refers to the rationality of the relationship between signal strength and distance; signal quality is Refers to the stability of signal strength (such as RSSI value) and the consistency of signals from each detector; Environmental impact refers to the possible impact of environmental factors on positioning results, such as obstacles and movement of people; WiFi signal quality refers to the strength and stability of WiFi signals and the signal coverage of different WiFi access points; The weights assigned to the evaluation index values ​​are obtained by solving the matrix constructed by pairwise comparison and relative importance scoring of the set evaluation indicators using the hierarchical analysis method; The first evaluation coefficient is used to evaluate the reliability of the positioning information of the first device; The second evaluation coefficient is used to evaluate the reliability of the positioning information of the second device; The set evaluation threshold is predetermined and is generally 0.85.

[0136] In this embodiment, for example, there is a first evaluation coefficient x1 of the first device positioning information L1 and a second evaluation coefficient x2 of the second device positioning information L2, wherein: 85, At this time, the first device positioning information L1 is output as key positioning information.

[0137] The beneficial effect of the above technical solution is: by performing reliable positioning analysis and screening processing on the first device positioning information and the second device positioning information, key positioning information is obtained and output, which can effectively improve the wireless positioning accuracy of the lighting system.

[0138] The embodiment of the present invention provides a wireless positioning method for an organic electroluminescent material lighting system, which performs a fusion process on first device positioning information and second device positioning information based on a first evaluation coefficient and a second evaluation coefficient to obtain key positioning information and output it, including:

[0139] Based on the first evaluation coefficient and the second evaluation coefficient, the coordinate information in the first device positioning information and the second device positioning information are fused using a set fusion algorithm to obtain first fused positioning information;

[0140] Inputting the first device positioning information and the second device positioning information into a Kalman filter to obtain second fused positioning information;

[0141] Inputting the first fused positioning information and the second fused positioning information into a pre-established result verification model, and outputting a fused positioning verification value;

[0142] The fused positioning information with a larger fused positioning check value between the first fused positioning information and the second fused positioning information is output as the key positioning information.

[0143] In this embodiment, the Kalman filter is an efficient recursive estimation method for fusing the first device positioning information and the second device positioning information; the first fused positioning information is obtained by processing the coordinate information in the first device positioning information and the second device positioning information using a set fusion algorithm, such as a weighted average fusion algorithm, wherein the weight assigned to the coordinate information in the first device positioning information and the second device positioning information is determined based on the first evaluation coefficient and the second evaluation coefficient. For example, the first evaluation coefficient is k1 and the second evaluation coefficient is k2. At this time, the weight assigned to the first device positioning information is , the weight given to the second device location information is .

[0144] In this embodiment, the second fused positioning information is obtained by inputting the first device positioning information and the second device positioning information into the Kalman filter; the result verification model refers to a model used to evaluate the accuracy of the positioning information of the first fused positioning information and the second fused positioning information, which is obtained by collecting a large amount of device positioning information and fusing them through different fusion algorithms to obtain training fused positioning information, marking the corresponding real position information of the training fused positioning information, and then performing data preprocessing and feature extraction to obtain training features, such as position coordinates, positioning accuracy, and signal strength, and combining the preprocessed training fused positioning information with the training features to train the neural network; the fused positioning verification value is used to characterize the accuracy of the current fused positioning information.

[0145] The beneficial effects of the above technical solution are: by adopting the weighted average algorithm and the Kalman filter to fuse the first device positioning information and the second device positioning information respectively; verifying and analyzing the fused positioning information obtained after the fusion processing, determining the key positioning information and outputting it, the positioning accuracy and stability can be improved.

[0146] Obviously, those skilled in the art can make various changes and modifications to the present invention without departing from the spirit and scope of the present invention. Thus, if these modifications and variations of the present invention fall within the scope of the claims of the present invention and their equivalents, the present invention is also intended to include these modifications and variations.

Claims

1. A wireless positioning method for an organic electroluminescent material lighting system, characterized in that: include: Step 1: using a set detector to receive the transmission signal of the target lighting system in real time, and performing signal processing to obtain the first device positioning information; Step 2: Analyze the WiFi signal data acquired by the current lighting device from the set WiFi access point in real time to obtain the second device positioning information; Step 3: combining the first device location information with the second device location information for analysis to obtain key location information; Step 4: Determine the location coordinates of the lighting equipment based on the key positioning information; The method of using a set detector to receive the transmission signal of the target lighting system in real time and performing signal processing to obtain the first device positioning information includes: Perform RSSI analysis and signal arrival analysis on the signals emitted by the lighting equipment in the target lighting system, and obtain first positioning information and second positioning information accordingly; When the first positioning information and the second positioning information are consistent, outputting the first positioning information as the first device positioning information of the current lighting device; When the first positioning information and the second positioning information are inconsistent, obtaining a first detection distance between the current lighting device and the first detector; The positioning reliability coefficient is obtained by combining the signal arrival time of the first detector with the first detection distance for analysis; When the positioning reliability coefficient is greater than a set reliability threshold, outputting the second positioning information as the first device positioning information of the current lighting device; When the positioning reliability coefficient is not greater than a set reliability threshold, the first positioning information is output as the first device positioning information of the current lighting device.

2. The wireless positioning method for an organic electroluminescent material lighting system according to claim 1, characterized in that: The method further includes: using a set detector to receive the transmission signal of the target lighting system in real time, and performing signal processing to obtain the first device positioning information; Install a number of set detectors at preset positions within the target lighting system deployment area; The lighting equipment in the target lighting system flashes at a high speed according to the corresponding set flashing frequency to achieve signal transmission; Using the set detector to receive in real time the device transmission signal currently transmitted by the corresponding adapted lighting device in the target lighting system; Signal processing and information extraction are performed on the device transmission signal to obtain the first device positioning information.

3. The wireless positioning method for an organic electroluminescent material lighting system according to claim 2, characterized in that: The device transmission signal includes the lighting device identification, transmission power and current device flashing frequency.

4. The wireless positioning method for an organic electroluminescent material lighting system according to claim 1, characterized in that: RSSI analysis and signal arrival analysis are performed on the signals emitted by the lighting equipment in the target lighting system, and first positioning information and second positioning information are obtained accordingly, including: Mark all set detectors that are compatible with the current lighting device as the first detector; The first detector receives a device transmission signal sent by the current lighting device and converts it into a first electrical signal; Amplifying the first electrical signal using a set amplifier and then performing analog-to-digital conversion to obtain a key digital signal; Performing RSSI measurement on the key digital signal to obtain a first signal strength value; Matching the first signal strength value with data in a set RSSI database to obtain a reference RSSI value with the highest RSSI similarity coefficient with the current first signal strength value, and treating the corresponding position information of the reference RSSI value as reference position information; Performing filtering processing on all acquired reference position information to obtain first analysis reference position information; Outputting the corresponding first analysis reference location information whose RSSI similarity coefficient is greater than the set dynamic similarity threshold as candidate location information; If there is a single candidate position information, the current candidate position is output as the first positioning information; If there are multiple candidate position information, all candidate position information are fused using a set fusion algorithm to obtain the first positioning information and output it; determining a signal arrival time based on a timestamp recorded when the first detector receives the signal; Pair all first detectors in pairs to obtain detector pairs, and then obtain the signal arrival time difference of each pair of detectors; The corresponding signal arrival times of all first detectors and the signal arrival time differences of all detector pairs are input into a pre-established multi-variable positioning estimation model to output second positioning information.

5. The wireless positioning method for an organic electroluminescent material lighting system according to claim 1, characterized in that: By combining the signal arrival time of the first detector with the first detection distance for analysis, the positioning reliability coefficient is obtained, including: Sort all first detectors in ascending order according to the first detection distance between the first detector and the current lighting device to obtain a first detector list; Taking the signal arrival time as the dependent variable and the first detection distance as the independent variable, a first distance-signal arrival curve is constructed according to the order of the first detector list; Taking the signal arrival time as the dependent variable and the first detection distance as the independent variable, a second distance-signal arrival curve is constructed in the reverse order of the first detector list; Extracting the initial signal arrival time of the first detector and the corresponding split signal arrival time of the intermediate moment from the detector database; Taking the initial signal arrival time as the dependent variable and the first detection distance as the independent variable, the initial distance-signal arrival curve is constructed according to the order of the first detector list; The arrival time of the middle-division signal is taken as the dependent variable, the first detection distance is taken as the independent variable, and the middle-division distance-signal arrival curve is constructed according to the order of the first detector list; Based on the curve area and trend characteristics extracted from all the acquired distance-signal arrival curves, a comprehensive analysis is performed to obtain the positioning reliability coefficient; The calculation formula of the positioning reliability coefficient is as follows: ; In the formula, Expressed as positioning reliability coefficient; 1 represents the maximum time interval between the arrival time of the intermediate signal and the arrival time of the initial signal in all the first detectors; It is expressed as the maximum time interval between the arrival time of the current signal and the arrival time of the intermediate signal in all the first detectors; It is expressed as the curve area of ​​the initial distance-signal arrival curve; It is expressed as the area of ​​the curve that divides the distance-signal arrival curve; It is expressed as the curve area of ​​the first distance-signal arrival curve; It is expressed as the curve area of ​​the second distance-signal arrival curve; It is represented as the value of the i-th trend feature of the initial distance-signal arrival curve, where i=1, 2, , n; n represents the total number of trend features; It is expressed as the value of the i-th trend feature of the mid-range-signal arrival curve; It is represented as the value of the ith trend feature of the first distance-signal arrival curve; It is represented as the influence weight of the ith trend feature on the analyzed trend change; e is represented as a constant with a value of 2.

7.

6. The wireless positioning method for an organic electroluminescent material lighting system according to claim 1, characterized in that: Analyze the WiFi signal data obtained by the current lighting device from the set WiFi access point in real time to obtain the second device positioning information, including: Obtain the WiFi signal strength and phase information received by the current lighting device from each set WiFi access point in real time, and obtain some key signal strength and key phase information after data cleaning and calibration; From the set WIFI signal database, the current lighting device and the corresponding key signal strength and key phase information are used as matching conditions to match and obtain the WIFI location information; All acquired WIFI location information is integrated and processed to generate and output second device location information.

7. The wireless positioning method for an organic electroluminescent material lighting system according to claim 1, characterized in that: The first device location information is combined with the second device location information for analysis to obtain key location information, including: Using a preset positioning evaluation mechanism, performing positioning evaluation on the first device positioning information and the second device positioning information respectively, and correspondingly obtaining a first evaluation coefficient and a second evaluation coefficient; When both the first evaluation coefficient and the second evaluation coefficient are greater than the set evaluation threshold, the corresponding device positioning information with the greater evaluation coefficient is output as the key positioning information; When the first evaluation coefficient is greater than the set evaluation threshold, and the second evaluation coefficient is not greater than the set evaluation threshold, outputting the first device positioning information as key positioning information; When the first evaluation coefficient is not greater than the set evaluation threshold, and the second evaluation coefficient is greater than the set evaluation threshold, outputting the second device positioning information as key positioning information; When both the first evaluation coefficient and the second evaluation coefficient are not greater than the set evaluation threshold, the first device positioning information and the second device positioning information are fused based on the first evaluation coefficient and the second evaluation coefficient to obtain and output key positioning information.

8. The wireless positioning method for an organic electroluminescent material lighting system according to claim 7, characterized in that: Based on the first evaluation coefficient and the second evaluation coefficient, the first device positioning information and the second device positioning information are fused to obtain key positioning information and output it, including: Based on the first evaluation coefficient and the second evaluation coefficient, the coordinate information in the first device positioning information and the second device positioning information are fused using a set fusion algorithm to obtain first fused positioning information; Inputting the first device positioning information and the second device positioning information into a Kalman filter to obtain second fused positioning information; Inputting the first fused positioning information and the second fused positioning information into a pre-established result verification model, and outputting a fused positioning verification value; The fused positioning information with a larger fused positioning check value between the first fused positioning information and the second fused positioning information is output as the key positioning information.

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