On-duty object position display method, storage medium and equipment

Abstract

The invention provides an on-duty object position display method, a storage medium and equipment, and relates to the technical field of intelligent monitoring and information, the on-duty object position display method comprises the following specific steps: using a multi-source fusion positioning technology, fusing ultra wide band positioning, inertial navigation positioning and satellite positioning data, and obtaining initial position information of an on-duty object; performing noise reduction processing on the obtained initial position information, transmitting the encrypted information to a cloud server, decrypting and analyzing the information by the cloud server, predicting the position of the on-duty object at the next moment by using a Kalman filtering algorithm in combination with historical position data, and fusing ultra-wideband positioning, inertial navigation positioning and satellite positioning data to obtain the position of the on-duty object at the next moment. And the positioning precision and reliability are obviously improved. The position information of an on-duty object can be accurately obtained in different environments, for example, in a room or a satellite signal shielding area, ultra-wideband positioning and inertial navigation positioning can play a role, and the limitation of a traditional single positioning mode is solved.

Description

Technical Field

[0001] The present invention belongs to the field of intelligent monitoring and information technology, and more specifically, particularly relates to a method, storage medium and device for displaying the position of an on-duty object. Background Art

[0002] In various duty scenarios, such as large-scale event security, border patrols, and emergency rescue on-site command, accurate acquisition and real-time display of the duty object's location are extremely critical to the efficient execution of tasks. Traditional location display methods have many limitations. Early base station-based positioning methods usually had positioning accuracy of tens of meters or even hundreds of meters, which was difficult to meet the needs of scenarios that required accurate grasp of the duty object's location, such as indoor security. However, if the satellite positioning system is relied upon alone, the signal will be weakened or even lost in areas where the signal is blocked, such as urban canyons with tall buildings and underground buildings, resulting in positioning interruption.

[0003] Existing systems also have frequent problems in data processing and transmission. When the amount of data is large, some systems have slow data processing speeds, resulting in delayed updates of location information. When the on-duty object moves quickly, the displayed location deviates greatly from the actual location. At the same time, in a complex electromagnetic environment, data transmission is easily interfered with, resulting in data loss or errors, making the displayed location information inaccurate. Moreover, most current location display systems are only presented in the form of simple two-dimensional maps, which cannot intuitively display the spatial environment and relative position relationship of the on-duty object, making it difficult for commanders to make quick decisions. Summary of the invention

[0004] In order to solve the above technical problems, the present invention provides a method, a storage medium and a device for displaying the position of an on-duty object to solve the above problems.

[0005] A method for displaying the position of an on-duty object, the specific steps are as follows:

[0006] Utilize multi-source fusion positioning technology to integrate ultra-wideband positioning, inertial navigation positioning and satellite positioning data to obtain the initial location information of the on-duty object;

[0007] The acquired initial position information is subjected to denoising, and the high-frequency noise is removed by using the wavelet threshold denoising algorithm;

[0008] The noise-reduced location information is transmitted to the edge computing node via a low-power Bluetooth and 5G hybrid communication link;

[0009] The edge computing node extracts features and encrypts the received location information, extracts the location change feature vector, and encrypts it using the AES-256 encryption algorithm;

[0010] The encrypted information is transmitted to the cloud server, which decrypts and analyzes the information, combines it with historical location data, and uses the Kalman filter algorithm to predict the next location of the duty object;

[0011] The predicted position and real-time position information are sent to the display terminal, which uses augmented reality (AR) technology to superimpose the position information of the on-duty object on the real scene image for display.

[0012] Preferably, in the multi-source fusion positioning technology, the ultra-wideband positioning accuracy is ±0.1 meter, the cumulative error of inertial navigation positioning within 10 minutes does not exceed ±1 meter, and the satellite positioning accuracy is ±2 meters. In the wavelet threshold denoising algorithm, the sym8 wavelet basis function is used, the decomposition layer number is 5 layers, and the threshold processing is performed by the soft threshold method. Low-power Bluetooth is used for short-distance, low-power data transmission with a transmission distance of less than 50 meters. 5G is used for long-distance, high-speed data transmission with a data transmission rate of up to 10Gbps. When performing feature extraction at the edge computing node, a convolutional neural network model is used to extract time series features and spatial features in the location information. When the cloud server uses the Kalman filter algorithm for prediction, the state transfer matrix is ​​dynamically adjusted according to the historical moving speed and direction of the on-duty object.

[0013] A storage medium stores a computer program, which, when executed by a processor, implements the steps of a method for displaying the position of an on-duty object.

[0014] A device for displaying the position of an on-duty object, characterized in that it includes: a shell, a multi-source positioning module, a noise reduction module, a communication module, an edge computing module, a cloud server and a display terminal, wherein the multi-source positioning module is used to integrate ultra-wideband positioning, inertial navigation positioning and satellite positioning data to obtain the initial position information of the on-duty object; the noise reduction module uses a wavelet threshold noise reduction algorithm to perform noise reduction processing on the initial position information; the communication module includes low-power Bluetooth and a 5G communication unit for transmitting position information; the edge computing module performs feature extraction and encryption processing on the position information; the cloud server decrypts, analyzes and predicts the position of the encrypted information; the display terminal uses augmented reality technology to display the position information of the on-duty object, and in the multi-source positioning module, the ultra-wideband positioning module operates in a frequency band of 3.1-10.6 GHz, the inertial navigation positioning module uses a MEMS accelerometer and a gyroscope, and the satellite positioning module supports GPS, Beidou, and GLONASS systems.

[0015] Compared with the prior art, the present invention has the following beneficial effects:

[0016] The present invention adopts multi-source fusion positioning technology, integrating ultra-wideband positioning, inertial navigation positioning and satellite positioning data, significantly improving positioning accuracy and reliability. The location information of the duty object can be accurately obtained in different environments. For example, ultra-wideband positioning and inertial navigation positioning can play a role indoors or in areas where satellite signals are blocked, solving the limitations of traditional single positioning methods.

[0017] In the present invention, by using the wavelet threshold noise reduction algorithm to perform noise reduction processing on the position information, high-frequency noise is effectively removed, the data quality is improved, and the subsequent data processing and analysis are made more accurate and reliable.

[0018] In the present invention, the advantages of low-power Bluetooth and 5G hybrid communication links are combined. Low-power Bluetooth is used for short-distance low-power transmission, and 5G is used for long-distance high-speed transmission, which ensures that location information can be quickly and stably transmitted to edge computing nodes and cloud servers, reducing data transmission delays and losses.

[0019] In the present invention, feature extraction and encryption processing are performed through edge computing nodes, which, on the one hand, reduces the computing pressure of the cloud server and improves the processing efficiency; on the other hand, the AES-256 encryption algorithm is used to ensure the security of the data.

[0020] In the present invention, the cloud server uses the Kalman filter algorithm combined with historical position data to predict the next position of the duty object, providing the commander with position information in advance, so as to facilitate early deployment. At the same time, the display terminal uses augmented reality technology to superimpose the position information of the duty object on the real scene image, and display the position information more intuitively and three-dimensionally, which helps the commander to quickly understand the on-site situation and make scientific decisions. BRIEF DESCRIPTION OF THE DRAWINGS

[0021] Figure 1 It is a system topology diagram of the on-duty object position display method of the present invention;

[0022] Figure 2 It is a topological diagram of the multi-source fusion positioning system of the present invention;

[0023] Figure 3 It is a topological diagram of the data transmission system of the present invention;

[0024] Figure 4 It is a topological diagram of the edge computing node processing system of the present invention;

[0025] Figure 5 It is a topological diagram of the cloud server processing system of the present invention;

[0026] Figure 6 It is a schematic diagram of the structure of the multi-source positioning module of the present invention;

[0027] Figure 7It is a schematic diagram of the structure of the display terminal of the present invention.

[0028] In the figure, the correspondence between the component names and the figure numbers is: 1. Shell; 11. Multi-source positioning module; 12. Noise reduction module; 13. Communication module; 14. Edge computing module; 15. Cloud server; 16. Display terminal. DETAILED DESCRIPTION

[0029] The following embodiments of the present invention are described in further detail in conjunction with the accompanying drawings and examples. The following examples are used to illustrate the present invention, but are not intended to limit the scope of the present invention.

[0030] See also Figure 1-Figure 7 The present invention provides a method for displaying the position of an on-duty object, and the specific steps are as follows:

[0031] Utilize multi-source fusion positioning technology to integrate ultra-wideband positioning, inertial navigation positioning and satellite positioning data to obtain the initial location information of the on-duty object;

[0032] The acquired initial position information is subjected to denoising, and the high-frequency noise is removed by using the wavelet threshold denoising algorithm;

[0033] The noise-reduced location information is transmitted to the edge computing node via a low-power Bluetooth and 5G hybrid communication link;

[0034] The edge computing node extracts features and encrypts the received location information, extracts the location change feature vector, and encrypts it using the AES-256 encryption algorithm;

[0035] The encrypted information is transmitted to the cloud server, which decrypts and analyzes the information, combines it with historical location data, and uses the Kalman filter algorithm to predict the next location of the duty object;

[0036] The predicted position and real-time position information are sent to the display terminal, which uses augmented reality (AR) technology to superimpose the position information of the on-duty object on the real scene image for display.

[0037] In the multi-source fusion positioning technology, the ultra-wideband positioning accuracy is ±0.1 meters, the cumulative error of inertial navigation positioning within 10 minutes does not exceed ±1 meter, and the satellite positioning accuracy is ±2 meters. In the wavelet threshold denoising algorithm, the sym8 wavelet basis function is used, the decomposition layer number is 5 layers, and the threshold processing is performed by the soft threshold method. Low-power Bluetooth is used for short-distance, low-power data transmission with a transmission distance of less than 50 meters. 5G is used for long-distance, high-speed data transmission with a data transmission rate of up to 10Gbps. When extracting features at the edge computing node, a convolutional neural network model is used to extract the time series features and spatial features in the location information. When the cloud server uses the Kalman filter algorithm for prediction, the state transfer matrix is ​​dynamically adjusted according to the historical moving speed and direction of the on-duty object.

[0038] A storage medium stores a computer program, which, when executed by a processor, implements the steps of a method for displaying the position of an on-duty object.

[0039] A device for displaying the position of an on-duty object, characterized in that it includes: a shell, a multi-source positioning module, a noise reduction module, a communication module, an edge computing module, a cloud server and a display terminal, wherein the multi-source positioning module is used to integrate ultra-wideband positioning, inertial navigation positioning and satellite positioning data to obtain the initial position information of the on-duty object; the noise reduction module uses a wavelet threshold noise reduction algorithm to perform noise reduction processing on the initial position information; the communication module includes low-power Bluetooth and a 5G communication unit for transmitting position information; the edge computing module performs feature extraction and encryption processing on the position information; the cloud server decrypts, analyzes and predicts the position of the encrypted information; the display terminal uses augmented reality technology to display the position information of the on-duty object, and in the multi-source positioning module, the ultra-wideband positioning module operates in a frequency band of 3.1-10.6 GHz, the inertial navigation positioning module uses a MEMS accelerometer and a gyroscope, and the satellite positioning module supports GPS, Beidou, and GLONASS systems.

[0040] Example:

[0041] Example 1: Security duty in a large shopping mall

[0042] In large shopping malls, multi-source positioning modules are deployed. Ultra-wideband positioning modules are used to accurately locate security personnel on each floor, and satellite positioning is used to assist in positioning in the square area outside the shopping mall. The location information is processed using a wavelet threshold noise reduction algorithm, and the information is transmitted to the edge computing node via low-power Bluetooth, and then uploaded to the cloud server via the 5G network. The display terminal uses a head-mounted device, and the security supervisor can use augmented reality technology to intuitively see the distribution and movement trajectory of security personnel in the mall, and dispatch personnel in advance to deal with emergencies based on the predicted location. For example, when there are dense crowds on holidays, security personnel can be quickly transferred to crowded areas.

[0043] Example 2: Border patrol mission

[0044] Border patrol personnel are equipped with equipment that integrates multi-source positioning modules. In areas with poor satellite signals, such as mountainous areas, inertial navigation and ultra-wideband positioning ensure positioning accuracy. The location information is noise-reduced and encrypted, and transmitted to the command center's cloud server via 5G communication. Commanders can clearly grasp the position of patrol personnel on the border through augmented reality display, and arrange response strategies in advance based on the predicted position, such as deploying personnel in advance in areas with high incidence of illegal border crossings.

[0045] Example 3: Underground parking lot security

[0046] There are almost no satellite signals in underground parking lots, so ultra-wideband positioning plays a major role, combined with inertial navigation to ensure that the security personnel's location is accurately obtained. Data is transmitted to the edge computing node in the parking lot via low-power Bluetooth, and then aggregated to the cloud. Parking lot managers can view the location of security personnel in the form of augmented reality through display terminals, and detect abnormal situations in time. For example, security personnel can be quickly dispatched to the area where the vehicle is damaged.

[0047] Example 4: Emergency rescue scene

[0048] At emergency rescue sites such as earthquakes and fires, rescuers carry multi-source positioning equipment. In the complex electromagnetic environment at the scene, 5G communication ensures stable data transmission, and edge computing and the cloud collaborate to process location information. Commanders can understand the location of rescuers in the ruins through augmented reality display, plan rescue routes based on predicted locations, and improve rescue efficiency.

[0049] Example 5: Sports Event Security

[0050] At large-scale sports events, many security personnel are distributed in different areas. The multi-source positioning module combines different positioning technologies to obtain the location of security personnel. After noise reduction and encryption, it is transmitted to the cloud server of the event command center via 5G. Using augmented reality display, the event security manager can intuitively see the deployment of security personnel in each area and respond to emergencies such as fan conflicts in advance based on location prediction.

[0051] Comparison of embodiments:

[0052] The positioning focuses on different aspects: ultra-wideband positioning in large shopping malls is used for precise positioning of indoor floors; border patrols combine multiple positioning methods in different terrains; underground parking lots mainly rely on ultra-wideband and inertial navigation; emergency rescue sites choose positioning methods based on complex environments; multi-source positioning is combined with security personnel location acquisition at sports events.

[0053] Differences in communication requirements: Large shopping malls and sports events are densely populated, and high 5G communication bandwidth is required; border patrols focus on communication stability; underground parking lots use low-power Bluetooth short-distance transmission combined with 5G long-distance transmission; emergency rescue sites require 5G to transmit data stably in complex electromagnetic environments.

[0054] Application scenario characteristics: large shopping malls focus on personnel flow management and emergency handling; border patrols focus on preventing illegal border crossings; underground parking lots focus on vehicle safety and response to abnormal situations; emergency rescue sites focus on rescue efficiency; sports events ensure the smooth progress of events and crowd control.

[0055] Display effect: The augmented reality display in each embodiment provides intuitive location information, but in different scenarios, the focus of assisting commanders in making decisions is different, such as shopping malls focusing on personnel dispatch, and emergency rescue focusing on planning rescue routes.

[0056] Data processing focus: Edge computing and cloud collaborative processing are required in all scenarios, but there are differences in the data volume and processing speed requirements. For example, the data volume at sports events is large, and the processing speed requirements are high; the data volume at underground parking lots is relatively small, but there are also certain requirements for real-time performance.

[0057] The embodiments of the present invention are given for the purpose of illustration and description, and are not intended to be exhaustive or to limit the invention to the disclosed forms. Many modifications and variations will be apparent to those of ordinary skill in the art. The embodiments are selected and described in order to better illustrate the principles and practical applications of the present invention and to enable those of ordinary skill in the art to understand the present invention and thereby design various embodiments with various modifications suitable for specific uses.

Claims

1. A method for displaying the position of an on-duty object, characterized in that: The specific steps are as follows: Utilize multi-source fusion positioning technology to integrate ultra-wideband positioning, inertial navigation positioning and satellite positioning data to obtain the initial location information of the on-duty object; The acquired initial position information is subjected to denoising, and the high-frequency noise is removed by using the wavelet threshold denoising algorithm; The noise-reduced location information is transmitted to the edge computing node via a low-power Bluetooth and 5G hybrid communication link; The edge computing node extracts features and encrypts the received location information, extracts the location change feature vector, and encrypts it using the AES-256 encryption algorithm; The encrypted information is transmitted to the cloud server, which decrypts and analyzes the information, combines it with historical location data, and uses the Kalman filter algorithm to predict the next location of the duty object; The predicted position and real-time position information are sent to the display terminal, which uses augmented reality (AR) technology to superimpose the position information of the on-duty object on the real scene image for display.

2. The method for displaying the position of an on-duty object according to claim 1, characterized in that: In the multi-source fusion positioning technology, the ultra-wideband positioning accuracy is ±0.1 meters, the cumulative error of inertial navigation positioning within 10 minutes does not exceed ±1 meter, and the satellite positioning accuracy is ±2 meters.

3. The method for displaying the position of an on-duty object according to claim 1, characterized in that: In the wavelet threshold denoising algorithm, the sym8 wavelet basis function is used, the number of decomposition layers is 5, and the threshold processing is performed through the soft threshold method.

4. The method for displaying the position of an on-duty object according to claim 1, characterized in that: Bluetooth low energy is used for short-distance, low-power data transmission with a transmission distance of less than 50 meters. 5G is used for long-distance, high-speed data transmission with a data transmission rate of up to 10Gbps.

5. The method for displaying the position of an on-duty object according to claim 1, characterized in that: When performing feature extraction at the edge computing node, a convolutional neural network model is used to extract the time series features and spatial features in the location information.

6. The method for displaying the position of an on-duty object according to claim 1, characterized in that: When the cloud server uses the Kalman filter algorithm to make predictions, the state transfer matrix is ​​dynamically adjusted according to the historical movement speed and direction of the on-duty object.

7. A storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the steps of the method for displaying the position of an on-duty object as described in any one of claims 1 to 6 are implemented.

8. A device for displaying the position of an on-duty object, characterized in that: include: A housing (1), a multi-source positioning module (11), a noise reduction module (12), a communication module (13), an edge computing module (14), a cloud server (15), and a display terminal (16).

9. The on-duty object position display device according to claim 8, characterized in that: The multi-source positioning module (11) is used to obtain the initial position information of the duty object by fusing ultra-wideband positioning, inertial navigation positioning and satellite positioning data; The noise reduction module (12) uses a wavelet threshold noise reduction algorithm to perform noise reduction processing on the initial position information; The communication module (13) comprises a low-power Bluetooth and a 5G communication unit for transmitting location information; The edge computing module (14) performs feature extraction and encryption processing on the location information; The cloud server (15) decrypts, analyzes and predicts the location of the encrypted information; The display terminal (16) uses augmented reality technology to display the location information of the on-duty object.

10. The on-duty object position display device according to claim 8, characterized in that: In the multi-source positioning module (11), the ultra-wideband positioning module operates in a frequency band of 3.1-10.6 GHz, the inertial navigation positioning module uses a MEMS accelerometer and a gyroscope, and the satellite positioning module supports multiple systems including GPS, Beidou and GLONASS.

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