Building indoor intelligent identification management system based on geographic information

Abstract

The invention discloses a building indoor intelligent identification management system based on geographic information, and belongs to the technical field of indoor intelligent identification management, and the system comprises the steps: comprehensively collecting the indoor multi-dimensional information data of a building through integrating laser scanning, Wi-Fi and Bluetooth signal intensity measurement and a built-in sensor of user equipment; using the multi-source data fusion positioning model to calculate user real-time position coordinates, and uploading the user real-time position coordinates to a user terminal; traversing the multi-dimensional information data to obtain the real-time position, advancing direction and speed of the user, and calculating a predicted position coordinate; calculating the distance between the position information of each identifier and the predicted position coordinate, comparing the distance with a preset radius, and judging to obtain a first identifier, and dynamically adjusting the display priority of the first identifier; optimizing and adjusting the size and brightness of the first identifier according to the priority of the first identifier and the indoor environment light intensity; the first identifier is received and displayed through the user terminal, and dynamic updating of the real-time position of the user is achieved.

Description

Technical Field

[0001] The present invention relates to the technical field of indoor intelligent identification management, and in particular to an indoor intelligent identification management system for buildings based on geographic information. Background Art

[0002] In modern society, the scale and complexity of buildings are increasing. For example, the indoor structures of large shopping malls, hospitals, office buildings, airports and other buildings are intricate and complex, and people often face many difficulties when looking for a specific destination indoors. Traditional indoor intelligent signage systems usually use fixed signboards, which have many limitations: It is impossible to dynamically adjust and personalize the display based on the user's real-time location and direction of travel, which may cause the user to get lost in complex indoor environments. It takes a lot of time and energy to find the target location, reducing people's travel efficiency and experience.

[0003] The information displayed on fixed signboards is relatively fixed and limited, which makes it difficult to meet the diverse needs of users; and the signs cannot be adjusted according to changes in the indoor environment, resulting in users being unable to accurately obtain sign information. Summary of the invention

[0004] The purpose of the present invention is to overcome the deficiencies of the prior art and provide a building indoor intelligent identification management system based on geographic information to solve the problems raised in the above background technology.

[0005] The purpose of the present invention can be achieved by the following technical solutions: A building indoor intelligent identification management system based on geographic information, comprising: The data collection module collects comprehensive multi-dimensional indoor information data of buildings through laser scanning, signal strength measurement of Wi-Fi and Bluetooth beacons, and built-in sensors of user devices; The positioning module uses a multi-source data fusion positioning model to calculate the user's real-time location coordinates and upload the user's real-time location coordinates to the user terminal module; The dynamic identification management module traverses the multi-dimensional information data to obtain the user's real-time location, travel direction and speed, and calculates the predicted location coordinates; by calculating the distance between the location information of each identification and the predicted location coordinates, and comparing and judging with the preset radius, the first identification is obtained and its display priority is dynamically adjusted; A first identification adjustment module, which obtains the priority of the first identification and the indoor ambient light intensity, optimizes and adjusts the size and brightness of the first identification respectively and displays it on the user terminal module; The user terminal module is used to receive and display the first identification and dynamically update the user's real-time location coordinates.

[0006] Preferably, the specific implementation process of comprehensively collecting multi-dimensional information data includes: The three-dimensional structural data of the building is obtained by laser scanning, and the location information of all the signs in the building is recorded; wherein the signs are the names of the indoor layouts of the building; Deploy Wi-Fi access points and Bluetooth beacons at different locations indoors in buildings, record the location information of signal sources, and collect signal strengths between user devices and signal sources; signal sources include Wi-Fi access points and Bluetooth beacons; Based on the built-in sensors of the user device, sensor data is received in real time, including geomagnetic data of the current location of the user device and user motion data; wherein the geomagnetic data includes magnetic field strength and direction; the user motion data includes the moving direction vector and moving speed.

[0007] Preferably, the specific implementation content of the positioning module includes: Acquire the signal strength between the user equipment and the signal source, and use the Wi-Fi positioning model and the Bluetooth positioning model to respectively calculate and obtain the estimated coordinate position of the user equipment in the building, including a first estimated coordinate position and a second estimated coordinate position; Acquire real-time geomagnetic data collected at the current position of the user device, use the geomagnetic positioning model to match the user position according to the geomagnetic features of each collection point in the pre-built geomagnetic feature database, and obtain a third estimated coordinate position; Based on the first, second, and third estimated coordinate positions, a weighted fusion algorithm is used to calculate the user's real-time position coordinates.

[0008] Preferably, the method for obtaining the estimated value of the coordinate position of the user equipment in the building is as follows: A signal source positioning model is established using a wireless signal propagation model to obtain an estimated value of the distance between the user device and each signal source; wherein the signal source positioning model is a Wi-Fi positioning model or a Bluetooth positioning model; The calculation formula of the wireless signal propagation model is: ; Where RSSI is the signal strength between the user equipment and any signal source; is the transmitted signal power, which is a known fixed value determined by the signal source; n is the path loss exponent; d is the estimated distance between the signal source and the user equipment; is a Gaussian random variable with a mean of 0, indicating shadow fading; the three-sided positioning method is used to obtain the estimated coordinate position of the user equipment in the building, which are the first estimated coordinate position and the second estimated coordinate position.

[0009] Preferably, the method for obtaining the third estimated coordinate position is as follows: Based on the geomagnetic positioning model, a three-dimensional geomagnetic feature database is formed by pre-measuring the geomagnetic intensity and direction of each location in the building; Perform feature matching on the real-time geomagnetic data and the data in the geomagnetic feature database, and calculate the Euclidean distance between the real-time geomagnetic data and the geomagnetic feature of each acquisition point in the geomagnetic feature database; The calculation formula is as follows: ; In the formula, The Euclidean distance between the real-time geomagnetic data and the geomagnetic feature of any acquisition point in the geomagnetic feature database; It is real-time geomagnetic data, which respectively represent the horizontal component H in the magnetic north direction, the vertical component Z in the vertical downward direction, and the synthetic magnetic field intensity F; is the geomagnetic feature of the collection point; wherein, the subscript SS represents real-time data; the subscript K represents any collection point; the Euclidean distance of the geomagnetic features between the current position of the user device and all collection points is obtained, and the collection point position with the smallest distance is selected as the third estimated coordinate position.

[0010] Preferably, the calculation formula of the weighted fusion algorithm is as follows: ; ; ; In the formula, is the first estimated coordinate position; is the second estimated coordinate position, and the subscript b represents the Bluetooth positioning model; is the third estimated coordinate position, and the subscript m represents the geomagnetic positioning model; is the user's real-time location coordinates, and the subscript u represents the user; , , They represent Wi-Fi positioning weight, Bluetooth positioning weight, and geomagnetic positioning weight respectively.

[0011] Preferably, the specific implementation content of the dynamic identification management module includes: Get the user's current direction vector and the travel speed v, combined with the user's current location coordinates, calculate the predicted location coordinates; the calculation formula for the predicted location coordinates is as follows: ; ; ; In the formula, is the time interval, which represents the difference between the current time and the time of arrival at the predicted location coordinates; a, b, and c are the components of the user's current travel direction vector on the x-axis, y-axis, and z-axis respectively; Represents the predicted position coordinates, and the subscript p represents the prediction; based on the predicted position coordinates and the position information of all markers, the distance between each marker and the predicted position coordinates is calculated by the Euclidean distance formula, and compared with the preset radius R for judgment; if the calculated distance is less than or equal to the radius R, the corresponding marker is recorded as the first marker and displayed intelligently with priority; among them, the marker within the circular area with a radius of R, centered on the predicted position coordinates, is regarded as the first marker.

[0012] Preferably, the specific implementation content of the first identification adjustment module includes: Get the screen resolution and the original size of the first logo, through the formula Calculate the scaling ratio of the first logo; where s is the scaling ratio of the first logo; BL is the ratio of the first logo on the screen, if BL=0.1, it means that the first logo occupies 10% of the screen area; W and H represent the height and width of the screen respectively; and the original height and width of the first logo respectively; By formula and The size of the first logo after scaling is calculated and obtained; wherein YG and YK are the height and width of the first logo after scaling, respectively.

[0013] Preferably, by the formula Adjust the brightness of the first logo; wherein B is the display brightness of the first logo; is the original brightness of the first mark; k is the adjustment coefficient used to control the sensitivity of brightness to changes in ambient light; L is the current indoor ambient light intensity; is the average light intensity of normal indoor lighting; is the light intensity threshold.

[0014] In order to solve the above problems, the present invention also provides a method for managing indoor intelligent signs in buildings based on geographic information, comprising the following steps: Step 1: Collect comprehensive multi-dimensional indoor information data of buildings through laser scanning, signal strength measurement of Wi-Fi and Bluetooth beacons, and built-in sensors of user devices; Step 2: Utilize the multi-source data fusion positioning model to calculate the user's real-time location coordinates, and upload the user's real-time location coordinates to the user terminal; Step 3: traverse the multi-dimensional information data to obtain the user's real-time location, travel direction and speed, and calculate the predicted location coordinates; by calculating the distance between the location information of each identifier and the predicted location coordinates, and comparing and judging with the preset radius, the first identifier is obtained and its display priority is dynamically adjusted; Step 4: Obtain the priority of the first logo and the indoor ambient light intensity, optimize and adjust the size and brightness of the first logo respectively, and display it; Step 5: Receive and display the first identifier, and dynamically update the user's real-time location coordinates.

[0015] Compared with the existing solutions, the present invention achieves the following beneficial effects: The present invention can accurately obtain the spatial structure and object distribution information of the building interior through laser scanning technology, and provide basic data for building accurate indoor maps; Wi-Fi and Bluetooth signal strength measurement technology can be used to estimate the distance between the user and the signal source by detecting the strength of the signal, thereby assisting in locating the user's approximate position indoors; and the built-in sensors of the user's device, such as accelerometers and gyroscopes, can sense the user's movement status in real time, including information such as the direction and speed of travel; Integrating and applying these technologies to indoor sign management systems in buildings can achieve accurate positioning of user locations and dynamic management of sign information, thereby effectively overcoming the shortcomings of traditional indoor sign systems, improving the accuracy and convenience of indoor navigation, and meeting people's needs to quickly and accurately find their destination in complex indoor environments. BRIEF DESCRIPTION OF THE DRAWINGS

[0016] The present invention will be further described below in conjunction with the accompanying drawings.

[0017] Figure 1 This is a module structure diagram of the building indoor intelligent identification management system based on geographic information proposed by the present invention.

[0018] Figure 2 This is a flowchart of the method for managing indoor intelligent identification of buildings based on geographic information proposed by the present invention. DETAILED DESCRIPTION

[0019] The technical solutions in the embodiments of the present invention will be described clearly and completely below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, rather than all the embodiments.

[0020] Embodiment 1, as Figure 1 As shown, the present invention is a building indoor intelligent identification management system based on geographic information, including: a data collection module, a positioning module, a dynamic identification management module, a first identification adjustment module and a user terminal module; The data collection module collects comprehensive multi-dimensional indoor information data of buildings through laser scanning, signal strength measurement of Wi-Fi and Bluetooth beacons, and built-in sensors of user devices, including: The three-dimensional structural data of the building is obtained by laser scanning, and the location information of all the signs in the building is recorded; wherein the signs are the names of the indoor layouts of the building; Deploy Wi-Fi access points and Bluetooth beacons at different locations indoors in buildings, record the location information of signal sources, and collect signal strengths between user devices and signal sources; signal sources include Wi-Fi access points and Bluetooth beacons; Based on the built-in sensors of the user device, the sensor data is received in real time, including the geomagnetic data of the current location of the user device and the user motion data; wherein the geomagnetic data includes the magnetic field strength and direction; the user motion data includes the moving direction vector and the moving speed; In the embodiment of the present invention, by integrating multiple sensors and technical means, comprehensive perception and data collection of the internal environment of the building are achieved, providing a data basis for subsequent indoor positioning.

[0021] A positioning module, which obtains the signal strength between the user equipment and the signal source, and uses a Wi-Fi positioning model and a Bluetooth positioning model to respectively calculate and obtain an estimated value of the coordinate position of the user equipment in the building, including a first estimated coordinate position and a second estimated coordinate position; Furthermore, a signal source positioning model is established using the wireless signal propagation model to obtain an estimated value of the distance between the user device and each signal source; wherein the signal source positioning model is a Wi-Fi positioning model or a Bluetooth positioning model; The calculation formula of the wireless signal propagation model is: ; Where RSSI is the signal strength between the user equipment and any signal source; is the transmitted signal power, which is a known fixed value determined by the signal source; n is the path loss exponent; d is the estimated distance between the signal source and the user equipment; is a Gaussian random variable with mean 0, representing shadow fading; It should be noted that the path loss index is related to the indoor environment of the building. For example, the value in an empty indoor corridor may be different from that in an indoor room with many partitions. It needs to be determined through multiple field tests and calibrations; Exemplarily, the transmit power of a Wi-Fi access point is obtained from its device specification. ; By selecting multiple locations with known distances within the Wi-Fi coverage area, measuring the Wi-Fi signal strength values ​​corresponding to the locations, substituting them into the calculation formula of the wireless signal propagation model, and using the least squares method to fit the value of n, the Wi-Fi positioning model is obtained; similarly, the Bluetooth positioning model is obtained; Further, a three-sided positioning method is used to obtain estimated values ​​of the coordinate position of the user equipment in the building, which are respectively a first estimated coordinate position and a second estimated coordinate position; Exemplarily, the coordinate positions of four Wi-Fi access points and the corresponding estimated distance values ​​from the user equipment are obtained, and a first estimated coordinate position of the user equipment indoors in the building is calculated using a trilateration method; The calculation formula is as follows: ; In the formula, , , , They are the coordinate locations of four Wi-Fi access points; , , , They are the estimated distance values ​​corresponding to the user equipment; represents the first estimated coordinate position, and the subscript w represents the Wi-Fi positioning model; Similarly, the coordinate positions of the four Bluetooth beacons and the corresponding estimated distance values ​​from the user device are obtained, and the second estimated coordinate position of the user device in the building is calculated using the trilateral positioning method; Acquire real-time geomagnetic data collected at the current position of the user device, use the geomagnetic positioning model to match the user position according to the geomagnetic features of each collection point in the pre-built geomagnetic feature database, and obtain a third estimated coordinate position; Furthermore, based on the geomagnetic positioning model, a three-dimensional geomagnetic feature database is formed by pre-measuring the geomagnetic intensity and direction of each location in the building; Among them, each record in the geomagnetic feature database contains the acquisition point number, three-dimensional coordinate position, horizontal component of magnetic north direction, vertical component of vertical downward direction, and synthetic magnetic field intensity; Perform feature matching on the real-time geomagnetic data and the data in the geomagnetic feature database, and calculate the Euclidean distance between the real-time geomagnetic data and the geomagnetic feature of each acquisition point in the geomagnetic feature database; The calculation formula is as follows: ; In the formula, The Euclidean distance between the real-time geomagnetic data and the geomagnetic feature of any acquisition point in the geomagnetic feature database; It is real-time geomagnetic data, which respectively represent the horizontal component H in the magnetic north direction, the vertical component Z in the vertical downward direction, and the synthetic magnetic field intensity F; is the geomagnetic feature of the collection point; where the subscript SS represents real-time data; the subscript K represents any collection point; Obtain the Euclidean distances of the geomagnetic features between the current position of the user device and all the collection points, and select the collection point position with the smallest distance as the third estimated coordinate position; Based on the first, second and third estimated coordinate positions, a weighted fusion algorithm is used to calculate the user's real-time position coordinates; The calculation formula is as follows: ; ; ; In the formula, is the first estimated coordinate position; is the second estimated coordinate position, and the subscript b represents the Bluetooth positioning model; is the third estimated coordinate position, and the subscript m represents the geomagnetic positioning model; is the user's real-time location coordinates, and the subscript u represents the user; , , They represent Wi-Fi positioning weight, Bluetooth positioning weight, and geomagnetic positioning weight respectively. The weight values ​​are determined according to the accuracy test results of each positioning method in different environments.

[0022] The dynamic identification management module traverses the multi-dimensional information data to obtain the user's real-time location, travel direction and speed, and calculates the predicted location coordinates; by calculating the distance between the location information of each identification and the predicted location coordinates, and comparing and judging with the preset radius, the first identification is obtained and its display priority is dynamically adjusted; Furthermore, get the user's current direction vector and the travel speed v, combined with the user's current location coordinates, to calculate the predicted location coordinates; wherein the predicted location coordinates represent the location coordinates that the user can reach at the next time; The calculation formula for the predicted position coordinates is as follows: ; ; ; In the formula, is the time interval, which represents the difference between the current time and the time of arrival at the predicted location coordinates; a, b, and c are the components of the user's current travel direction vector on the x-axis, y-axis, and z-axis respectively; represents the predicted position coordinates, and the subscript p represents prediction; Based on the predicted location coordinates and the location information of all markers, the distance between each marker and the predicted location coordinates is calculated using the Euclidean distance formula, and compared with the preset radius R for judgment; If the calculated distance is less than or equal to the radius R, the corresponding mark is recorded as the first mark and displayed intelligently with priority; wherein the mark within the circular area with a radius of R and the predicted position coordinate as the center is regarded as the first mark; It should be noted that the priority intelligent display is intelligently displayed on the user terminal module according to the principle that the closer the distance, the higher the priority; The first logo adjustment module obtains the priority of the first logo and the indoor ambient light intensity, optimizes and adjusts the size and brightness of the first logo respectively and displays it on the user terminal module; further, obtains the screen resolution and the original size of the first logo, and uses the formula Calculate the scaling ratio of the first logo; where s is the scaling ratio of the first logo; BL is the ratio of the first logo on the screen, if BL=0.1, it means that the first logo occupies 10% of the screen area; W and H represent the height and width of the screen respectively; and The original height and width of the first logo respectively; through the formula and Calculate and obtain the size of the first logo after scaling; where YG and YK are the height and width of the first logo after scaling, respectively; further, by formula Adjust the brightness of the first logo; wherein B is the display brightness of the first logo; is the original brightness of the first mark; k is the adjustment coefficient used to control the sensitivity of brightness to changes in ambient light; L is the current indoor ambient light intensity; is the average light intensity of normal indoor lighting; is the light intensity threshold; It should be noted that when the ambient light is strong, the display brightness B of the first logo is increased to make the first logo more clearly visible; when the ambient light is weak, the display brightness B of the first logo is reduced to avoid excessive brightness and glare.

[0023] The user terminal module is used to receive and display the first identification and dynamically update the user's real-time location coordinates.

[0024] Embodiment 2, as Figure 2 As shown, the building indoor intelligent identification management method based on geographic information includes the following steps: Step 1: Collect comprehensive multi-dimensional indoor information data of buildings through laser scanning, signal strength measurement of Wi-Fi and Bluetooth beacons, and built-in sensors of user devices; Step 2: Utilize the multi-source data fusion positioning model to calculate the user's real-time location coordinates, and upload the user's real-time location coordinates to the user terminal; Step 3: traverse the multi-dimensional information data to obtain the user's real-time location, travel direction and speed, and calculate the predicted location coordinates; by calculating the distance between the location information of each identifier and the predicted location coordinates, and comparing and judging with the preset radius, the first identifier is obtained and its display priority is dynamically adjusted; Step 4: Obtain the priority of the first logo and the indoor ambient light intensity, optimize and adjust the size and brightness of the first logo respectively, and display it; Step 5: Receive and display the first identifier, and dynamically update the user's real-time location coordinates.

[0025] In the several embodiments provided by the present invention, it should be understood that the disclosed system can be implemented in other ways. For example, the above-described embodiments of the invention are only illustrative, for example, the division of modules is only a logical function division, and there may be other division methods in actual implementation.

[0026] The modules described as separate accessories may or may not be physically separated, and the accessories shown as modules may or may not be physical units, that is, they may be located in one place or distributed on multiple network units. Some or all of the modules may be selected according to actual needs to achieve the purpose of the solution of this embodiment.

[0027] In addition, each functional module in each embodiment of the present invention may be integrated into one processing unit, each unit may exist physically separately, or two or more units may be integrated into one unit. The above-mentioned integrated unit may be implemented in the form of hardware or in the form of hardware plus software functional modules.

[0028] It is obvious to those skilled in the art that the present invention is not limited to the details of the above exemplary embodiments, and that the present invention can be implemented in other specific forms without departing from the spirit or essential characteristics of the present invention.

[0029] Finally, it should be noted that the above embodiments are only used to illustrate the technical solution of the present invention rather than to limit it. Although the present invention has been described in detail with reference to the preferred embodiments, those skilled in the art should understand that the technical solution of the present invention can be modified or replaced by equivalents without departing from the spirit and scope of the technical solution of the present invention.

Claims

1. The building indoor intelligent identification management system based on geographic information is characterized by: include: The data collection module collects comprehensive multi-dimensional indoor information data of buildings through laser scanning, signal strength measurement of Wi-Fi and Bluetooth beacons, and built-in sensors of user devices; The positioning module uses a multi-source data fusion positioning model to calculate the user's real-time location coordinates and upload the user's real-time location coordinates to the user terminal module; The dynamic identification management module traverses the multi-dimensional information data to obtain the user's real-time location, travel direction and speed, and calculates the predicted location coordinates; by calculating the distance between the location information of each identification and the predicted location coordinates, and comparing and judging with the preset radius, the first identification is obtained and its display priority is dynamically adjusted; A first identification adjustment module, which obtains the priority of the first identification and the indoor ambient light intensity, optimizes and adjusts the size and brightness of the first identification respectively and displays it on the user terminal module; The user terminal module is used to receive and display the first identification and dynamically update the user's real-time location coordinates.

2. The building indoor intelligent identification management system based on geographic information according to claim 1 is characterized in that: The specific implementation process of comprehensive collection of multi-dimensional information data includes: The three-dimensional structural data of the building is obtained by laser scanning, and the location information of all the signs in the building is recorded; wherein the signs are the names of the indoor layouts of the building; Deploy Wi-Fi access points and Bluetooth beacons at different locations indoors in buildings, record the location information of signal sources, and collect signal strengths between user devices and signal sources; signal sources include Wi-Fi access points and Bluetooth beacons; Based on the built-in sensors of the user device, sensor data is received in real time, including geomagnetic data of the current location of the user device and user motion data; wherein the geomagnetic data includes magnetic field strength and direction; the user motion data includes the moving direction vector and moving speed.

3. The building indoor intelligent identification management system based on geographic information according to claim 2 is characterized in that: The specific implementation contents of the positioning module include: Acquire the signal strength between the user equipment and the signal source, and use the Wi-Fi positioning model and the Bluetooth positioning model to respectively calculate and obtain the estimated coordinate position of the user equipment in the building, including a first estimated coordinate position and a second estimated coordinate position; Acquire real-time geomagnetic data collected at the current position of the user device, use the geomagnetic positioning model to match the user position according to the geomagnetic features of each collection point in the pre-built geomagnetic feature database, and obtain a third estimated coordinate position; Based on the first, second, and third estimated coordinate positions, a weighted fusion algorithm is used to calculate the user's real-time position coordinates.

4. The building indoor intelligent identification management system based on geographic information according to claim 3 is characterized in that: The method for obtaining the estimated coordinate position of the user equipment in the building is as follows: A signal source positioning model is established using a wireless signal propagation model to obtain an estimated value of the distance between the user device and each signal source; wherein the signal source positioning model is a Wi-Fi positioning model or a Bluetooth positioning model; The calculation formula of the wireless signal propagation model is: ; Where RSSI is the signal strength between the user equipment and any signal source; is the transmitted signal power, which is a known fixed value determined by the signal source; n is the path loss exponent; d is the estimated distance between the signal source and the user equipment; is a Gaussian random variable with mean 0, representing shadow fading; The three-sided positioning method is used to obtain the estimated coordinate position of the user equipment in the building, which are the first estimated coordinate position and the second estimated coordinate position.

5. The building indoor intelligent identification management system based on geographic information according to claim 4 is characterized in that: The method for obtaining the third estimated coordinate position is as follows: Based on the geomagnetic positioning model, a three-dimensional geomagnetic feature database is formed by pre-measuring the geomagnetic intensity and direction of each location in the building; Perform feature matching on the real-time geomagnetic data and the data in the geomagnetic feature database, and calculate the Euclidean distance between the real-time geomagnetic data and the geomagnetic feature of each acquisition point in the geomagnetic feature database; The calculation formula is as follows: ; In the formula, The Euclidean distance between the real-time geomagnetic data and the geomagnetic feature of any acquisition point in the geomagnetic feature database; It is real-time geomagnetic data, which respectively represent the horizontal component H in the magnetic north direction, the vertical component Z in the vertical downward direction, and the synthetic magnetic field intensity F; is the geomagnetic feature of the collection point; where the subscript SS represents real-time data; the subscript K represents any collection point; The Euclidean distances of the geomagnetic features between the current position of the user device and all the collection points are obtained, and the collection point position with the smallest distance is selected as the third estimated coordinate position.

6. The building indoor intelligent identification management system based on geographic information according to claim 5 is characterized in that: The calculation formula of the weighted fusion algorithm is as follows: ; ; ; In the formula, is the first estimated coordinate position; is the second estimated coordinate position, and the subscript b represents the Bluetooth positioning model; is the third estimated coordinate position, and the subscript m represents the geomagnetic positioning model; is the user's real-time location coordinates, and the subscript u represents the user; , , They represent Wi-Fi positioning weight, Bluetooth positioning weight, and geomagnetic positioning weight respectively.

7. The building indoor intelligent identification management system based on geographic information according to claim 6 is characterized in that: The specific implementation contents of the dynamic identification management module include: Get the user's current direction vector and the travel speed v, combined with the user's current location coordinates, to calculate the predicted location coordinates; The calculation formula for the predicted position coordinates is as follows: ; ; ; In the formula, is the time interval, which represents the difference between the current time and the time of arrival at the predicted location coordinates; a, b, and c are the components of the user's current travel direction vector on the x-axis, y-axis, and z-axis respectively; represents the predicted position coordinates, and the subscript p represents prediction; Based on the predicted location coordinates and the location information of all markers, the distance between each marker and the predicted location coordinates is calculated using the Euclidean distance formula, and compared with the preset radius R for judgment; If the calculated distance is less than or equal to the radius R, the corresponding marker is recorded as the first marker and displayed intelligently with priority; among them, the marker within the circular area with a radius of R centered on the predicted position coordinates is regarded as the first marker.

8. The building indoor intelligent identification management system based on geographic information according to claim 7 is characterized in that: The specific implementation content of the first identification adjustment module includes: Get the screen resolution and the original size of the first logo, through the formula Calculate the scaling ratio of the first logo; where s is the scaling ratio of the first logo; BL is the ratio of the first logo on the screen, if BL=0.1, it means that the first logo occupies 10% of the screen area; W and H represent the height and width of the screen respectively; and the original height and width of the first logo respectively; By formula and The size of the first logo after scaling is calculated and obtained; wherein YG and YK are the height and width of the first logo after scaling, respectively.

9. The building indoor intelligent identification management system based on geographic information according to claim 8, characterized in that: By formula Adjust the brightness of the first logo; wherein B is the display brightness of the first logo; is the original brightness of the first mark; k is the adjustment coefficient used to control the sensitivity of brightness to changes in ambient light; L is the current indoor ambient light intensity; is the average light intensity of normal indoor lighting; is the light intensity threshold.

Images