A positioning base station signal detection method and system based on ranging data visualization, a terminal, and a storage medium
By generating a visual time-series bar chart to analyze the continuity and height changes of base station signals, this technology solves the problem of inaccurate base station fault detection in existing technologies, achieves accurate assessment of base station signal health status, and reduces the need for equipment and manual maintenance.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- GENEW TECH
- Filing Date
- 2026-01-14
- Publication Date
- 2026-05-29
AI Technical Summary
Existing signal equipment troubleshooting methods are insufficient for real-time detection of base station faults, resulting in inaccurate detection accuracy and requiring additional detection equipment and maintenance personnel workload.
By acquiring time-series data of tags and multiple positioning base stations, a visual time-series bar chart is generated. The continuity and height changes of the bar chart are analyzed to assess the health status of the base station signal.
It enables accurate assessment of the health status of base station signals, avoiding inaccurate detection due to the inability to detect equipment malfunctions in real time, and reducing the need for additional equipment and manual maintenance.
Smart Images
Figure CN122120819A_ABST
Abstract
Description
Technical Field
[0001] This invention relates to the field of wireless positioning technology, and in particular to a method, system, terminal, and computer-readable storage medium for detecting positioning base station signals based on ranging data visualization. Background Technology
[0002] Currently, Time of Flight (TOF) is a positioning technology that calculates the distance between a base station and a tag by measuring the time it takes for a wireless signal to travel a certain distance in the air. TOF ranging is a two-way ranging technique that primarily uses the round-trip flight time of the signal between the base station and the tag to measure the distance between nodes. Traditional RSSI (Received Signal Strength Indication) ranging methods yield unsatisfactory results when obstructed; TOF-based distance estimation methods can overcome the shortcomings of RSSI-based methods.
[0003] Currently, during the use of positioning base stations, various factors such as object obstruction, improper antenna installation, antenna damage, and water ingress can cause interference, resulting in insufficient coverage distance. However, these issues are extremely difficult for humans to detect. How to troubleshoot base station malfunctions that result in insufficient positioning distance is a major problem currently faced by users.
[0004] Existing signal equipment troubleshooting methods include using signal detection equipment to perform signal detection within the base station's coverage area to ensure that the base station signal can cover the designed area. However, this method requires additional detection equipment, and regular testing greatly increases the workload of maintenance personnel. Furthermore, regular testing also has the problem that equipment damage may not be detected in time. Therefore, existing signal equipment troubleshooting techniques need to be improved and optimized. Summary of the Invention
[0005] The main objective of this invention is to provide a method, system, terminal, and computer-readable storage medium for detecting positioning base station signals based on ranging data visualization, aiming to solve the problem that existing signal equipment troubleshooting methods are difficult to detect equipment faults in real time, resulting in inaccurate detection accuracy.
[0006] To achieve the above objectives, the present invention provides a method for detecting positioning base station signals based on ranging data visualization, the method comprising the following steps: Acquire time-series data of the tag and multiple positioning base stations, analyze the time-series data, and obtain the original ranging information set; Multiple ranging bars are determined based on the original ranging information set. If the multiple ranging bars are continuous structures, then all the ranging bars are plotted to obtain a visual time-series bar chart. The base station signal of the visualized time-series bar chart is obtained. If the continuity and height change trend of the base station signal are interrupted, the base station signal is evaluated based on the continuity and height change trend to obtain the signal health status evaluation result.
[0007] Optionally, in the positioning base station signal detection method based on ranging data visualization, the time-series data includes ranging sequence number, timestamp, base station identifier, and ranging distance; The acquisition of time-series data of the tag and multiple positioning base stations, and the analysis of the time-series data to obtain the raw ranging information set, specifically includes: Obtain the ranging sequence number, timestamp, base station identifier, and ranging distance between the tag and multiple positioning base stations; Based on the coordinate axes, the ranging sequence number, the timestamp, the base station identifier, and the ranging distance are analyzed to obtain the original ranging information set.
[0008] Optionally, the positioning base station signal detection method based on ranging data visualization, wherein determining multiple ranging histograms according to the original ranging information set, and if the multiple ranging histograms are a continuous structure, then drawing all the ranging histograms to obtain a visualized time-series histogram, specifically includes: Based on the original ranging information, multiple ranging bar charts are sequentially determined on the time axis of the coordinate axis. Determine whether the multiple ranging bar charts are a continuous structure; If multiple ranging bars are in a continuous structure, then the multiple ranging bars are drawn at adjacent positions according to the ranging sequence number to obtain a visualized time-series bar chart.
[0009] Optionally, the positioning base station signal detection method based on ranging data visualization further includes, after determining whether the plurality of ranging histograms are a continuous structure: If multiple ranging bars are not continuous, then the corresponding positions of the ranging bars are drawn according to the ranging sequence number to obtain the target interval; Based on the target interval, the corresponding positions of the ranging bar chart are plotted to obtain a target visualization time series bar chart.
[0010] Optionally, in the positioning base station signal detection method based on ranging data visualization, the continuous structure includes ranging data height and ranging time interval; If multiple ranging bars are in a continuous structure, then the multiple ranging bars are plotted at adjacent positions according to the ranging sequence number to obtain a visualized time-series bar chart, specifically including: Determine whether the distance measurement height of the plurality of distance measurement bars is the distance measurement data height, and whether the coordinate interval of the plurality of distance measurement bars is the distance measurement time interval; If the distance measurement height of multiple distance measurement bars is the distance measurement data height, and the coordinate interval of the multiple distance measurement bars is the distance measurement time interval, then the multiple distance measurement bars are drawn at adjacent positions according to the distance measurement sequence number to obtain a visual time series bar chart.
[0011] Optionally, in the method for detecting positioning base station signals based on ranging data visualization, if the continuity and altitude change trend of the base station signal are interrupted when acquiring the visualized time-series bar chart, the base station signal is evaluated based on the continuity and altitude change trend to obtain a signal health status evaluation result, specifically including: Obtain base station signals from a visualized time-series bar chart; Determine whether the continuity and altitude change trend of the base station signal constitute an interruption; If the continuity and altitude change trend of the base station signal are interrupted, the visualized time series bar chart is analyzed to obtain the interruption ranging. The base station signal is evaluated based on the continuity, the altitude change trend, and the interruption ranging to obtain a signal health status evaluation result.
[0012] Optionally, in the positioning base station signal detection method based on ranging data visualization, the signal health status assessment result includes a first signal health status assessment result and a second signal health status assessment result. The step of evaluating the base station signal based on the continuity, the altitude change trend, and the interruption ranging to obtain a signal health status evaluation result specifically includes: If the interrupted ranging is empty, the base station signal is evaluated based on the continuity, the altitude change trend, and the interrupted ranging to obtain a first signal health status evaluation result. If the value of the interrupted ranging is a preset number, the base station signal is evaluated based on the continuity, the altitude change trend, and the interrupted ranging to obtain a second signal health status evaluation result.
[0013] Furthermore, to achieve the above objectives, the present invention also provides a positioning base station signal detection system based on ranging data visualization, wherein the positioning base station signal detection system based on ranging data visualization includes: The data acquisition module is used to acquire time-series data of the tag and multiple positioning base stations, and analyze the time-series data to obtain the raw ranging information set; The bar chart drawing module is used to determine multiple ranging bar charts based on the original ranging information set. If the multiple ranging bar charts are continuous structures, then all the ranging bar charts are drawn to obtain a visual time series bar chart. The bar chart evaluation module is used to obtain the base station signal of the visualized time series bar chart. If the continuity and height change trend of the base station signal are interrupted, the base station signal is evaluated according to the continuity and height change trend to obtain the signal health status evaluation result.
[0014] Furthermore, to achieve the above objectives, the present invention also provides a computer-readable storage medium, wherein the computer-readable storage medium stores a positioning base station signal detection program based on ranging data visualization, and when the positioning base station signal detection program based on ranging data visualization is executed by a processor, it implements the steps of the positioning base station signal detection method based on ranging data visualization as described above.
[0015] In this invention, time-series data of tags and multiple positioning base stations are acquired, and the time-series data is analyzed to obtain an original ranging information set. A ranging histogram is determined based on the original ranging information set. If multiple ranging histograms have a continuous structure, all the ranging histograms are plotted to obtain a visualized time-series histogram. The base station signal of the visualized time-series histogram is acquired. If the continuity and altitude change trend of the base station signal are interrupted, the base station signal is evaluated based on the continuity and altitude change trend to obtain a signal health status assessment result. This invention generates a visualized time-series histogram based on the time-series ranging data of tags and base stations, and achieves accurate assessment of the base station signal health status by analyzing the continuity and altitude change of the histogram. Attached Figure Description
[0016] Figure 1 This is a flowchart of a preferred embodiment of the positioning base station signal detection method based on ranging data visualization of the present invention; Figure 2 This is a schematic diagram of the tag movement and multi-base station ranging during a preferred embodiment of the positioning base station signal detection method based on ranging data visualization of the present invention; Figure 3 This is a flowchart of TOF ranging of a tag and a base station, representing a preferred embodiment of the positioning base station signal detection method based on ranging data visualization of the present invention. Figure 4 This is a flowchart of a preferred embodiment of the positioning base station signal detection method based on ranging data visualization of the present invention, showing a TOF ranging method using tags and multiple base stations. Figure 5 This is a schematic diagram of a tag in the ranging data switching between multiple base stations, representing a preferred embodiment of the positioning base station signal detection method based on ranging data visualization of the present invention. Figure 6 This is a schematic diagram of a tag measuring distances with and switching between multiple base stations during movement, representing a preferred embodiment of the positioning base station signal detection method based on ranging data visualization of the present invention. Figure 7 This is a schematic diagram of a tag measuring distance and switching between two base stations during movement, representing a preferred embodiment of the positioning base station signal detection method based on ranging data visualization of the present invention. Figure 8 This is a schematic diagram of the signal coverage of a tag in a positioning system GIS map, representing a preferred embodiment of the positioning base station signal detection method based on ranging data visualization of the present invention. Figure 9 This is a structural diagram of a preferred embodiment of the positioning base station signal detection system based on ranging data visualization of the present invention; Figure 10 This is a structural diagram of a preferred embodiment of the terminal of the device of the present invention. Detailed Implementation
[0017] To make the objectives, technical solutions, and advantages of this invention clearer and more explicit, the invention will be further described in detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative of the invention and are not intended to limit the invention.
[0018] Existing signal equipment troubleshooting methods include using signal detection equipment to detect signals within the base station's coverage area to ensure signal coverage within the designed range. However, this method requires additional detection equipment, and regular testing significantly increases the workload of maintenance personnel. Furthermore, regular testing can lead to delayed detection of equipment malfunctions. Therefore, a location base station signal detection method based on ranging data visualization is needed. This method generates a visualized time-series bar chart based on the time-series ranging data between tags and base stations. By analyzing the continuity and height changes of the bar chart, an accurate assessment of the base station signal health status can be achieved, avoiding the problem of inaccurate detection accuracy caused by the inability to detect equipment faults in real time.
[0019] The preferred embodiment of the positioning base station signal detection method based on ranging data visualization described in this invention, such as... Figure 1 As shown, the positioning base station signal detection method based on ranging data visualization includes the following steps: Step S10: Obtain time-series data of the tag and multiple positioning base stations, analyze the time-series data, and obtain the original ranging information set.
[0020] Step S10 includes: Step S11: Obtain the ranging sequence number, timestamp, base station identifier, and ranging distance between the tag and multiple positioning base stations; Step S12: Based on the coordinate axes, analyze the ranging sequence number, the timestamp, the base station identifier, and the ranging distance to obtain the original ranging information set.
[0021] Specifically, the ranging sequence number, timestamp, base station identifier, and ranging distance (e.g., between the tag and multiple positioning base stations) are obtained. Figure 2 As shown, when tag 1 moves from position 301 to position 302, it will perform distance measurements with base station 1, base station 2, and base station 3 (multiple positioning base stations) within one distance measurement cycle, generating distance measurement data with the same sequence number. Based on the coordinate axis, the distance measurement sequence number, the timestamp, the base station identifier, and the distance measurement are analyzed to obtain the original distance measurement information set.
[0022] For example, such as Figure 3 As shown, tag 101 initiates a ranging message 104. Base station 102 receives ranging message 104 and replies with a ranging response message 105 to tag 101. Tag 101 receives the ranging response message 105 and calculates the distance by multiplying the processing time returned by the ranging response message 105 by the speed of light. The tag sends the distance to base station 102 via a distance transmission message 106. Base station 102 receives the distance transmission message 106 and sends it to server 103 via a distance transmission message 107. This is used by server 103 to calculate the tag's location. Figure 4 As shown, 201, 202, and 203 represent a complete ranging process with multiple base stations, including base station 1, base station 2, and base station 3. The ranging process for one base station includes the entire process shown in 101 to 107. Within one ranging cycle, the tag achieves ranging with multiple surrounding base stations, maintaining consistency with the ranging sequence number of each base station. After receiving ranging messages from 201, 202, and 203, 204 plots a graph in the signal detection diagram, using the time of base stations 201, 202, and 203 as the x-axis and the distance information as the y-axis, recording and storing the ranging messages.
[0023] In this embodiment, when a person wearing a tag moves, the tag and the base station use Time-of-Flight (TOF) to measure distance. The base station and the tag interact three times, and the distance between the base station and the tag is calculated by multiplying the signal time of flight by the speed of light. The tag can measure distances with multiple base stations within one ranging cycle. The ranging sequence number is generated by the tag to ensure that the ranging sequence numbers of multiple base stations are consistent.
[0024] Step S20: Determine multiple ranging bar charts based on the original ranging information set. If the multiple ranging bar charts are continuous structures, draw all the ranging bar charts to obtain a visual time-series bar chart.
[0025] Step S20 includes: Step S21: Based on the original ranging information, determine multiple ranging bar charts sequentially on the time axis of the coordinate axis; Step S22: Determine whether the multiple ranging bar charts are a continuous structure; Step S23: If multiple ranging bars are continuous structures, then draw multiple ranging bars at adjacent positions according to the ranging sequence number to obtain a visual time-series bar chart.
[0026] Specifically, after step S22, the method further includes: if the multiple ranging bars are not continuous structures, then draw the corresponding positions of the ranging bars according to the ranging sequence number to obtain the target interval; draw the corresponding positions of the ranging bars according to the target interval to obtain a target visualization time-series bar chart (if the current sequence number is not continuous with the previous sequence number, skip the number of discontinuous bars before drawing the ranging bars); determine multiple ranging bars sequentially on the time axis of the coordinate axis according to the original ranging information (the sequence number plus time generates time data on the coordinate axis, the distance to the height on the data generation coordinate axis, the distance from near to far, and draw the ranging bars); determine whether the multiple ranging bars are continuous structures; if the multiple ranging bars are continuous structures, then draw the multiple ranging bars at adjacent positions according to the ranging sequence number to obtain a visualization time-series bar chart (if the current ranging sequence number is continuous with the previously received sequence number, draw the bar chart at the next position on the number axis).
[0027] For example, such as Figure 5 As shown, when tag 401 moves from area 402 (region 1) to area 403 (region 2), it will pass through multiple base stations, including base station 1, base station 2, and base station 3. The ranging data between the tag and the base stations is sorted according to the sequence number 404. A time axis is plotted using time and sequence number (since the sequence number is not infinitely large, it will be used repeatedly, for example: 0-255, where time is used to distinguish ranging data from base stations with the same sequence number at different times). The distance data between the tag and the base stations is plotted on the height axis, as shown in graph 405.
[0028] Step S23 includes: Step S231: Determine whether the distance measurement height of the plurality of distance measurement bars is the distance measurement data height, and whether the coordinate interval of the plurality of distance measurement bars is the distance measurement time interval; Step S232: If the distance measurement height of the plurality of distance measurement bars is the distance measurement data height, and the coordinate interval of the plurality of distance measurement bars is the distance measurement time interval, then the plurality of distance measurement bars are drawn at adjacent positions according to the distance measurement sequence number to obtain a visual time series bar chart.
[0029] Specifically, it is determined whether the distance measurement height of the multiple distance measurement bars is the distance measurement data height, and whether the coordinate interval of the multiple distance measurement bars is the distance measurement time interval. If the distance measurement height of the multiple distance measurement bars is the distance measurement data height, and the coordinate interval of the multiple distance measurement bars is the distance measurement time interval, then the multiple distance measurement bars are drawn at adjacent positions according to the distance measurement sequence number to obtain a visual time-series bar chart.
[0030] In this embodiment, the height of the bar chart is drawn based on the distance measured by the base station. When a person moves, the bar chart will increase or decrease accordingly based on the change in distance. By analyzing whether the distance measurement data bars are continuously reported at equal intervals and whether the person's movement speed is basically uniform over a period of time, the stability of the base station and tag signals can be inferred.
[0031] Step S30: Obtain the base station signal of the visualized time-series bar chart. If the continuity and height change trend of the base station signal are interrupted, evaluate the base station signal based on the continuity and height change trend to obtain the signal health status evaluation result.
[0032] Step S30 includes: Step S31: Obtain the base station signal from the visualized time-series bar chart; Step S32: Determine whether the continuity and altitude change trend of the base station signal are interrupted; Step S33: If the continuity and altitude change trend of the base station signal is interrupted, then the visualized time series bar chart is analyzed to obtain the interruption ranging. Step S34: Evaluate the base station signal based on the continuity, the altitude change trend, and the interruption ranging to obtain the signal health status evaluation result.
[0033] Specifically, the base station signal of the visualized time-series bar chart is obtained, and it is determined whether the continuity and altitude change trend of the base station signal is interrupted. If the continuity and altitude change trend of the base station signal is interrupted, the visualized time-series bar chart is analyzed to obtain the interruption ranging (e.g., Figure 6 As shown, a ranging cycle is used to measure distances with multiple base stations. Each base station is sorted by its serial number, and a bar chart is plotted on the time axis to show the width of the bar chart. The height of the bar chart is plotted based on the distance measured from the base stations. The analysis is conducted to determine whether the designed base station coverage distance requirements are met. The stability of the base station signal is analyzed based on the continuity of the graph (uniform horizontal axis intervals indicate a fixed ranging time interval, and average height differences in the ranging data indicate uniform speed). The base station signal is evaluated based on the continuity, the height change trend, and the interruption of ranging, resulting in a signal health status assessment result.
[0034] In this embodiment, as Figure 6 As shown in Figures 501 to 502, ranging interruptions occurred, resulting in no ranging data. This indicates that the coverage distances of the two base stations were not smoothly connected. Adjusting the base station transmit power, antenna angle, and feeder tightness can increase the maximum coverage distance or adjust the distance between base stations to ensure seamless coverage between them. Figures 503 to 504 indicate that the tag moved at the edge of the maximum coverage area of base station 22, causing minor ranging interruptions. This can be used to determine the maximum coverage distance of the base station and also to check for signal faults at base station 22. Figure 505 shows only a small amount of short-range ranging data, indicating a signal problem at the base station, leading to insufficient signal coverage. Base station 13 should be investigated for coverage issues. Figure 506 shows continuous and stable signal transmission between base stations 21 and 31. This confirms that the signal coverage of base stations 21 and 31 met design requirements during the tag's movement.
[0035] Step S34 includes: Step S341: If the interrupted ranging is empty, the base station signal is evaluated based on the continuity, the altitude change trend and the interrupted ranging to obtain the first signal health status evaluation result; Step S342: If the value of the interrupted ranging is a preset number, then the base station signal is evaluated based on the continuity, the altitude change trend and the interrupted ranging to obtain a second signal health status evaluation result.
[0036] Specifically, if the interrupted ranging is empty, the base station signal is evaluated based on the continuity, the altitude change trend, and the interrupted ranging to obtain a first signal health status evaluation result. If the value of the interrupted ranging is a preset number, the base station signal is evaluated based on the continuity, the altitude change trend, and the interrupted ranging to obtain a second signal health status evaluation result.
[0037] In this embodiment, as Figure 7 As shown, when a tag measures distances with only two base stations in one cycle, the distances measured with the same serial number are plotted symmetrically in a graph to more intuitively display the distribution of wireless signals. 601 indicates a signal blind spot between base station 11 and base station 21; 602 indicates insufficient signal coverage at base station 12; 603 indicates insufficient signal coverage on one side of a base station; and 604 represents seamless signal coverage between base station 21 and base station 31.
[0038] For example, such as Figure 8As shown, using a GIS map, a base station signal coverage histogram is drawn along the direction of base station signal coverage on the map. 701 shows the coverage of two relatively far-away base stations. 702 represents the location of the base station on the GIS map, 703 represents the coverage of two relatively close base stations, and 704 represents a street in the map.
[0039] Furthermore, such as Figure 9 As shown, based on the above-mentioned positioning base station signal detection method based on ranging data visualization, the present invention also provides a positioning base station signal detection system based on ranging data visualization, wherein the positioning base station signal detection system based on ranging data visualization includes: The data acquisition module 51 is used to acquire time-series data of the tag and multiple positioning base stations, analyze the time-series data, and obtain the raw ranging information set. The bar chart drawing module 52 is used to determine multiple ranging bar charts based on the original ranging information set. If the multiple ranging bar charts are continuous structures, then all the ranging bar charts are drawn to obtain a visual time series bar chart. The bar chart evaluation module 53 is used to obtain the base station signal of the visualized time series bar chart. If the continuity and height change trend of the base station signal are interrupted, the base station signal is evaluated according to the continuity and height change trend to obtain the signal health status evaluation result.
[0040] Furthermore, such as Figure 10 As shown, based on the above-mentioned positioning base station signal detection method and system based on ranging data visualization, the present invention also provides a terminal, which includes a processor 10, a memory 20 and a display 30. Figure 10 Only some of the terminal components are shown; however, it should be understood that it is not required to implement all of the components shown, and more or fewer components may be implemented instead.
[0041] In some embodiments, the memory 20 may be an internal storage unit of the terminal, such as a hard disk or memory. In other embodiments, the memory 20 may be an external storage device of the terminal, such as a plug-in hard disk, smart media card (SMC), secure digital card (SD), flash card, etc. Further, the memory 20 may include both internal and external storage devices. The memory 20 is used to store application software and various types of data installed on the terminal, such as the program code installed on the terminal. The memory 20 can also be used to temporarily store data that has been output or will be output. In one embodiment, the memory 20 stores a positioning base station signal detection program 40 based on ranging data visualization, which can be executed by the processor 10 to implement the positioning base station signal detection method based on ranging data visualization in this application.
[0042] In some embodiments, the processor 10 may be a central processing unit (CPU), a microprocessor, or other data processing chip, used to run program code stored in the memory 20 or process data, such as executing the positioning base station signal detection method based on ranging data visualization.
[0043] In some embodiments, the display 30 may be an LED display, a liquid crystal display, a touch-sensitive liquid crystal display, or an OLED (Organic Light-Emitting Diode) touchscreen. The display 30 is used to display information on the terminal and to display a visual user interface. The terminals communicate with each other via a system bus.
[0044] In one embodiment, when the processor 10 executes the positioning base station signal detection program 40 based on ranging data visualization in the memory 20, the following steps are performed: Acquire time-series data of the tag and multiple positioning base stations, analyze the time-series data, and obtain the original ranging information set; Multiple ranging bars are determined based on the original ranging information set. If the multiple ranging bars are continuous structures, then all the ranging bars are plotted to obtain a visual time-series bar chart. The base station signal of the visualized time-series bar chart is obtained. If the continuity and height change trend of the base station signal are interrupted, the base station signal is evaluated based on the continuity and height change trend to obtain the signal health status evaluation result.
[0045] The time-series data includes ranging sequence number, timestamp, base station identifier, and ranging distance; The acquisition of time-series data of the tag and multiple positioning base stations, and the analysis of the time-series data to obtain the raw ranging information set, specifically includes: Obtain the ranging sequence number, timestamp, base station identifier, and ranging distance between the tag and multiple positioning base stations; Based on the coordinate axes, the ranging sequence number, the timestamp, the base station identifier, and the ranging distance are analyzed to obtain the original ranging information set.
[0046] Specifically, the step of determining multiple ranging bar charts based on the original ranging information set, and if the multiple ranging bar charts are of a continuous structure, then drawing all the ranging bar charts to obtain a visualized time-series bar chart, includes: Based on the original ranging information, multiple ranging bar charts are sequentially determined on the time axis of the coordinate axis. Determine whether the multiple ranging bar charts are a continuous structure; If multiple ranging bars are in a continuous structure, then the multiple ranging bars are drawn at adjacent positions according to the ranging sequence number to obtain a visualized time-series bar chart.
[0047] The step of determining whether the multiple ranging bar charts are a continuous structure further includes: If multiple ranging bars are not continuous, then the corresponding positions of the ranging bars are drawn according to the ranging sequence number to obtain the target interval; Based on the target interval, the corresponding positions of the ranging bar chart are plotted to obtain a target visualization time series bar chart.
[0048] The continuous structure includes ranging data height and ranging time interval; If multiple ranging bars are in a continuous structure, then the multiple ranging bars are plotted at adjacent positions according to the ranging sequence number to obtain a visualized time-series bar chart, specifically including: Determine whether the distance measurement height of the plurality of distance measurement bars is the distance measurement data height, and whether the coordinate interval of the plurality of distance measurement bars is the distance measurement time interval; If the distance measurement height of multiple distance measurement bars is the distance measurement data height, and the coordinate interval of the multiple distance measurement bars is the distance measurement time interval, then the multiple distance measurement bars are drawn at adjacent positions according to the distance measurement sequence number to obtain a visual time series bar chart.
[0049] Specifically, in obtaining the base station signal from the visualized time-series bar chart, if the continuity and altitude change trend of the base station signal are interrupted, the base station signal is evaluated based on the continuity and altitude change trend to obtain a signal health status evaluation result, which specifically includes: Obtain base station signals from a visualized time-series bar chart; Determine whether the continuity and altitude change trend of the base station signal constitute an interruption; If the continuity and altitude change trend of the base station signal are interrupted, the visualized time series bar chart is analyzed to obtain the interruption ranging. The base station signal is evaluated based on the continuity, the altitude change trend, and the interruption ranging to obtain a signal health status evaluation result.
[0050] The signal health status assessment results include a first signal health status assessment result and a second signal health status assessment result. The step of evaluating the base station signal based on the continuity, the altitude change trend, and the interruption ranging to obtain a signal health status evaluation result specifically includes: If the interrupted ranging is empty, the base station signal is evaluated based on the continuity, the altitude change trend, and the interrupted ranging to obtain a first signal health status evaluation result. If the value of the interrupted ranging is a preset number, the base station signal is evaluated based on the continuity, the altitude change trend, and the interrupted ranging to obtain a second signal health status evaluation result.
[0051] The present invention also provides a computer-readable storage medium, wherein the computer-readable storage medium stores a positioning base station signal detection program based on ranging data visualization, and the positioning base station signal detection program based on ranging data visualization, when executed by a processor, implements the steps of the positioning base station signal detection method based on ranging data visualization as described above.
[0052] In summary, this invention provides a method, system, terminal, and storage medium for detecting positioning base station signals based on ranging data visualization. The method includes: acquiring time-series data of tags and multiple positioning base stations; analyzing the time-series data to obtain an original ranging information set; determining a ranging histogram based on the original ranging information set; if multiple ranging histograms are continuous structures, plotting all the ranging histograms to obtain a visualized time-series histogram; acquiring the base station signal of the visualized time-series histogram; if the continuity and height change trend of the base station signal are interrupted, evaluating the base station signal based on the continuity and height change trend to obtain a signal health status assessment result. This invention generates a visualized time-series histogram based on the time-series ranging data of tags and base stations, and achieves accurate assessment of the base station signal health status by analyzing the continuity and height change of the histogram.
[0053] It should be noted that, in this document, the terms "comprising," "including," or any other variations thereof are intended to cover non-exclusive inclusion, such that a process, method, article, or terminal system that comprises a list of elements includes not only those elements but also other elements not expressly listed, or elements inherent to such a process, method, article, or terminal system. Unless otherwise specified, an element defined by the phrase "comprising one..." does not exclude the presence of other identical elements in the process, method, article, or terminal system that includes that element.
[0054] Of course, those skilled in the art will understand that all or part of the processes in the above embodiments can be implemented by a computer program instructing related hardware (such as a processor, controller, etc.). The program can be stored in a computer-readable storage medium, and when executed, it can include the processes described in the above method embodiments. The computer-readable storage medium can be a memory, magnetic disk, optical disk, etc.
[0055] It should be understood that the application of the present invention is not limited to the examples above. Those skilled in the art can make improvements or modifications based on the above description, and all such improvements and modifications should fall within the protection scope of the appended claims.
Claims
1. A method for detecting positioning base station signals based on ranging data visualization, characterized in that, The positioning base station signal detection method based on ranging data visualization includes: Acquire time-series data of the tag and multiple positioning base stations, analyze the time-series data, and obtain the original ranging information set; Multiple ranging bars are determined based on the original ranging information set. If the multiple ranging bars are continuous structures, then all the ranging bars are plotted to obtain a visual time-series bar chart. The base station signal of the visualized time-series bar chart is obtained. If the continuity and height change trend of the base station signal are interrupted, the base station signal is evaluated based on the continuity and height change trend to obtain the signal health status evaluation result.
2. The positioning base station signal detection method based on ranging data visualization according to claim 1, characterized in that, The time-series data includes ranging sequence number, timestamp, base station identifier, and ranging distance; The acquisition of time-series data of the tag and multiple positioning base stations, and the analysis of the time-series data to obtain the raw ranging information set, specifically includes: Obtain the ranging sequence number, timestamp, base station identifier, and ranging distance between the tag and multiple positioning base stations; Based on the coordinate axes, the ranging sequence number, the timestamp, the base station identifier, and the ranging distance are analyzed to obtain the original ranging information set.
3. The positioning base station signal detection method based on ranging data visualization according to claim 2, characterized in that, The step involves determining multiple ranging histograms based on the original ranging information set. If the multiple ranging histograms are a continuous structure, then all the ranging histograms are plotted to obtain a visualized time-series histogram, specifically including: Based on the original ranging information, multiple ranging bar charts are sequentially determined on the time axis of the coordinate axis. Determine whether the multiple ranging bar charts are a continuous structure; If multiple ranging bars are in a continuous structure, then the multiple ranging bars are drawn at adjacent positions according to the ranging sequence number to obtain a visualized time-series bar chart.
4. The positioning base station signal detection method based on ranging data visualization according to claim 3, characterized in that, The step of determining whether the multiple ranging histograms are a continuous structure further includes: If multiple ranging bars are not continuous, then the corresponding positions of the ranging bars are drawn according to the ranging sequence number to obtain the target interval; Based on the target interval, the corresponding positions of the ranging bar chart are plotted to obtain a target visualization time series bar chart.
5. The positioning base station signal detection method based on ranging data visualization according to claim 3, characterized in that, The continuous structure includes the ranging data height and the ranging time interval; If multiple ranging bars are in a continuous structure, then the multiple ranging bars are plotted at adjacent positions according to the ranging sequence number to obtain a visualized time-series bar chart, specifically including: Determine whether the distance measurement height of the plurality of distance measurement bars is the distance measurement data height, and whether the coordinate interval of the plurality of distance measurement bars is the distance measurement time interval; If the distance measurement height of multiple distance measurement bars is the distance measurement data height, and the coordinate interval of the multiple distance measurement bars is the distance measurement time interval, then the multiple distance measurement bars are drawn at adjacent positions according to the distance measurement sequence number to obtain a visual time series bar chart.
6. The positioning base station signal detection method based on ranging data visualization according to claim 5, characterized in that, If the continuity and altitude change trend of the base station signal are interrupted when obtaining the visualized time-series bar chart, the base station signal is evaluated based on the continuity and altitude change trend to obtain a signal health status evaluation result, specifically including: Obtain base station signals from a visualized time-series bar chart; Determine whether the continuity and altitude change trend of the base station signal constitute an interruption; If the continuity and altitude change trend of the base station signal are interrupted, the visualized time series bar chart is analyzed to obtain the interruption ranging. The base station signal is evaluated based on the continuity, the altitude change trend, and the interruption ranging to obtain a signal health status evaluation result.
7. The positioning base station signal detection method based on ranging data visualization according to claim 6, characterized in that, The signal health status assessment results include the first signal health status assessment results and the second signal health status assessment results; The step of evaluating the base station signal based on the continuity, the altitude change trend, and the interruption ranging to obtain a signal health status assessment result specifically includes: If the interrupted ranging is empty, the base station signal is evaluated based on the continuity, the altitude change trend, and the interrupted ranging to obtain a first signal health status evaluation result. If the value of the interrupted ranging is a preset number, the base station signal is evaluated based on the continuity, the altitude change trend, and the interrupted ranging to obtain a second signal health status evaluation result.
8. A positioning base station signal detection system based on ranging data visualization, characterized in that, The positioning base station signal detection system based on ranging data visualization includes: The data acquisition module is used to acquire time-series data of the tag and multiple positioning base stations, and analyze the time-series data to obtain the raw ranging information set; The bar chart drawing module is used to determine multiple ranging bar charts based on the original ranging information set. If the multiple ranging bar charts are continuous structures, then all the ranging bar charts are drawn to obtain a visual time series bar chart. The bar chart evaluation module is used to obtain the base station signal of the visualized time series bar chart. If the continuity and height change trend of the base station signal are interrupted, the base station signal is evaluated according to the continuity and height change trend to obtain the signal health status evaluation result.
9. A terminal, characterized in that, The terminal includes: a memory, a processor, and a positioning base station signal detection program based on ranging data visualization stored in the memory and executable on the processor. When the positioning base station signal detection program based on ranging data visualization is executed by the processor, it implements the steps of the positioning base station signal detection method based on ranging data visualization as described in any one of claims 1-7.
10. A computer-readable storage medium, characterized in that, The computer-readable storage medium stores a positioning base station signal detection program based on ranging data visualization, which, when executed by a processor, implements the steps of the positioning base station signal detection method based on ranging data visualization as described in any one of claims 1-7.