Artificial Intelligence-Based Control Method and System for Mapping LiDAR Scanning Strategy

Abstract

This invention relates to the field of surveying and mapping technology, specifically to a surveying and mapping lidar scanning strategy control method and system based on artificial intelligence. It includes: a data acquisition unit, a server, a quantization analysis unit, a speed analysis unit, a strategy analysis unit, and a comprehensive output unit. By analyzing the data volume, transmission speed, and duration of each stage of the strategy based on surveying and mapping information, data volume signal groups, transmission signal groups, and timeliness signal groups are obtained. These are then comprehensively analyzed, and corresponding adjustment measures are taken to control and regulate the surveying and mapping strategy. This effectively and promptly solves problems such as abnormal data acquisition, insufficient transmission speed to meet surveying requirements, and low overall efficiency and timeliness of the strategy during the surveying and mapping process, thereby improving the overall working efficiency of the surveying and mapping strategy.

Description

Technical Field

[0001] This invention relates to the field of surveying and mapping technology, specifically to a surveying and mapping lidar scanning strategy control method and system based on artificial intelligence. Background Technology

[0002] The mapping lidar scanning strategy control method and system is a mapping technology used to acquire ground topographic elevation information. Typically, the system uses a rotating multibeam lidar, which can acquire distance and reflection intensity data of millions of points in 3D space to generate a ground digital elevation model.

[0003] In the following aspects:

[0004] 1. The amount of data collected by lidar is large, requiring a series of information processing steps. However, the information processing capacity may not meet the requirements, resulting in the timeliness of each stage of the surveying strategy failing to meet the requirements.

[0005] 2. Due to the large amount of data to be collected, there are instances of abnormal data collection that cannot be detected and resolved in a timely manner, resulting in serious delays in data collection and hindering the progress of surveying and mapping work.

[0006] 3. During the surveying process, a large amount of information needs to be transmitted. In this process, there are situations where the information transmission speed cannot meet the surveying requirements and cannot be monitored and detected in time, resulting in information transmission delays and hindering the progress of the work. Summary of the Invention

[0007] The purpose of this invention is to provide a mapping lidar scanning strategy control method and system based on artificial intelligence.

[0008] The objective of this invention can be achieved through the following technical solution: a mapping lidar scanning strategy control method based on artificial intelligence, comprising the following steps:

[0009] S1: By comparing and analyzing the amount of data collected during the surveying process with the preset standard value, the difference in data volume and the adjacent time are normalized and their values ​​are obtained. The values ​​are then analyzed and processed to obtain abnormal data volume values, and a data volume signal group is generated accordingly.

[0010] S2: By comparing and analyzing the speed of information transmission in the surveying and mapping process with the set speed threshold, the speed is divided into peak points and valley points and their coordinates are obtained. The coordinates of the peak points and valley points are processed to obtain parameters bi and bj. Then, the parameters bi and bj are comprehensively analyzed to obtain the transmission status value, and a transmission signal group is generated accordingly.

[0011] S3: Normalize the planning time, processing time and fusion time and take their values. Analyze the values ​​to obtain the time index. Match the corresponding index formula according to the time index and substitute it to obtain the timeliness value. Then compare the timeliness value with the set corresponding threshold to generate a timeliness signal group.

[0012] S4: Integrate and process the data signal group, transmission signal group, and timing signal group, and output the control method for adjustment.

[0013] The mapping lidar scanning strategy control system based on artificial intelligence includes a data acquisition unit, a server, a quantization analysis unit, a velocity analysis unit, a strategy analysis unit, and a comprehensive output unit.

[0014] The data acquisition unit is used to collect the amount of data, transmission speed and duration of each stage of the strategy, and send it to the server for storage.

[0015] The quantitative analysis unit is used to analyze and judge the amount of data collected during surveying and mapping to obtain the status of the current surveying and mapping data, and generate a data volume signal group to send to the integrated output unit;

[0016] The speed analysis unit compares and analyzes the speed of information transmission in the surveying and mapping process with a set speed threshold, divides the speed into peak points and valley points and obtains their coordinates. The coordinates of the peak points and valley points are processed to obtain parameters. The parameters are then comprehensively analyzed to obtain the transmission status value, and a transmission signal group is generated and sent to the integrated output unit based on this value.

[0017] The strategy analysis unit is used to normalize the planning time, processing time and fusion time and take their values. The values ​​are analyzed to obtain the time index. The corresponding index formula is matched according to the time index and substituted into it to obtain the timeliness value. The timeliness value is then compared with the set corresponding threshold to generate a timeliness signal group and sent to the comprehensive output unit.

[0018] The integrated output unit is used to comprehensively analyze the data signal group, transmission signal group and timing signal group and take corresponding adjustment measures.

[0019] Preferably, the specific steps for the quantitative analysis unit to analyze the amount of data collected are as follows:

[0020] The data volume is compared and analyzed with a preset standard value to obtain the data volume difference and adjacent time intervals. Both are normalized and their values ​​are taken. Numerical analysis generates slightly abnormal data volume, moderately abnormal data volume, and severely abnormal data volume. The number of data volumes marked as slightly abnormal, moderately abnormal, and severely abnormal is counted and labeled as su1, su2, and su3 respectively. The average of these three data volumes is obtained and labeled as su0. When su1 > su0 and su1 is the maximum value among su1, su2, and su3, the current survey data volume is marked as a slightly abnormal signal. When su2 > su0 and su2 is the maximum value among su1, su2, and su3, the current survey data volume is marked as a moderately abnormal signal. When su3 > su0 and su3 is the maximum value among su1, su2, and su3, the current survey data volume is marked as a severely abnormal signal.

[0021] Preferably, the specific steps for the speed analysis unit to analyze the information transmission speed are as follows:

[0022] By comparing and analyzing the information transmission speed with a set speed threshold, valley points and peak points are obtained. These valley points and peak points are then analyzed and processed to obtain rise and fall parameters. These parameters are then processed to obtain parameter factors. The transmission speed and parameter factors are then substituted into a preset formula. Obtain the transmission status value CHZ; set the transmission status interval Z1. When the transmission status value is greater than the maximum value in the set transmission status interval Z1, it is marked as a high-speed transmission status signal; when the transmission status value is within the set transmission status interval Z1, it is marked as a medium-speed transmission status signal; when the transmission status value is less than the minimum value in the set transmission status interval Z1, it is marked as a low-speed transmission status signal.

[0023] Preferably, the specific steps for analyzing valley points and peak points are as follows:

[0024] A Cartesian two-dimensional coordinate system is established to obtain a graph showing the relationship between transmission speed and time; the average transmission speed is obtained by summing all the transmission speeds. The median time is recorded as the average time.

[0025] Obtain the coordinates of the valley and peak points. Process the valley and peak coordinates to obtain parameters bi and bj respectively. When parameter bi is greater than or equal to zero, it is marked as the valley rise parameter; when parameter bi is less than zero, it is marked as the valley fall parameter. When parameter bj is greater than or equal to zero, it is marked as the peak rise parameter; when parameter bj is less than zero, it is marked as the peak fall parameter. Summing the valley fall parameter and the peak fall parameter yields the fall parameter, and summing the valley rise parameter and the peak rise parameter yields the rise parameter.

[0026] Preferably, the specific steps for the strategy analysis unit to analyze the duration of each part of the mapping strategy are as follows:

[0027] The planning duration, processing duration, and fusion duration are used to obtain a duration index Y2 through data processing. An index range Z2 is set. When the duration index is greater than the maximum value in the set index range Z2, it is recorded as a high duration index and matched with index formula one. When the duration index is within the set index range Z2, it is recorded as a medium duration index and matched with index formula two. When the duration index is less than the minimum value in the set index range Z2, it is recorded as a low duration index and matched with index formula three.

[0028] Substitute the duration index Y2, denoted as high duration index, medium duration index, and low duration index, into the matching index formula to calculate the corresponding timeliness value; set a timeliness interval Z3, and compare the timeliness value with the set timeliness interval. When the timeliness value is greater than the maximum value in the set timeliness interval Z3, a high-efficiency surveying and mapping status signal is generated; when the timeliness value is within the set timeliness interval Z3, a medium-efficiency surveying and mapping status signal is generated; when the timeliness value is less than the minimum value in the set timeliness interval Z3, an inefficient surveying and mapping status signal is generated.

[0029] Preferably, the integrated output unit performs integrated analysis on the received data signal group, transmission signal group, and strategy signal group, and outputs the corresponding data, specifically as follows:

[0030] The slight data volume anomaly signal, moderate data volume anomaly signal, and severe data volume anomaly signal in the data volume signal group are respectively denoted as A*, A**, and A***; the high-speed transmission status signal, medium-speed transmission status signal, and low-speed transmission status signal in the transmission signal group are respectively denoted as B*, B**, and B***; and the high-efficiency mapping status signal, medium-efficiency mapping status signal, and low-efficiency mapping status signal in the timeliness signal group are respectively denoted as C*, C**, and C***.

[0031] When A***∪B***∪C*** is received simultaneously, a Level 1 policy warning signal is generated, and the number of data collectors, memory, and data processors are increased.

[0032] In other cases, data volume status values, transmission status values, and timeliness values ​​are retrieved from the quantization analysis unit, speed analysis unit, and strategy analysis unit for comparison, specifically:

[0033] The data volume status value, transmission status value, and timeliness value are multiplied by their respective conversion factors to obtain the data volume conversion value, transmission conversion value, and timeliness conversion value. The largest value is then selected. When the maximum value is the data volume status value, the number of data collectors is increased. When the maximum value is the transmission status value, the number of storage devices is increased. When the maximum value is the timeliness conversion value, the number of data processors is increased.

[0034] The beneficial effects of this invention are:

[0035] 1. By comparing and analyzing the information transmission speed in surveying and mapping with a set speed threshold, the speed is divided into peak and trough points, and their coordinates are obtained. Data processing of the coordinates of the peak and trough points yields parameters bi and bj. A comprehensive analysis of parameters bi and bj then yields the transmission status value, and a transmission signal group is generated accordingly. The processing and analysis of transmission speed data reflects the status of information transmission in surveying and mapping, thus enabling the monitoring of information transmission during the surveying and mapping process.

[0036] 2. By comparing and analyzing the amount of data collected during the surveying process with the preset standard value, the difference in data volume and the adjacent time interval are obtained. The normalization process is then performed to obtain the value, and the value is analyzed to obtain the abnormal value of data volume. Based on this, a data volume signal group is generated. The actual status of the data volume reflects the working status of the information collected during the current surveying process, thereby realizing the monitoring of the data volume during the surveying process.

[0037] 3. By normalizing the planning time, processing time, and fusion time and taking their values, the values ​​are analyzed to obtain a time index. The time index is matched with the corresponding index formula and substituted into it to obtain the timeliness value. The timeliness value is then compared with the set corresponding threshold to generate a timeliness signal group. By measuring the time used in each stage of the survey and conducting comprehensive analysis, the overall work status of the survey and mapping is accurately reflected, realizing a comprehensive timeliness analysis of each stage of the survey and mapping.

[0038] 4. By comprehensively analyzing the data volume signal group, transmission signal group, and timeliness signal group and taking corresponding adjustment measures, the surveying and mapping strategy can be controlled and regulated. This will effectively and promptly solve problems such as abnormal information acquisition, insufficient transmission speed to meet surveying and mapping requirements, and low overall efficiency and timeliness of the strategy, thereby improving the overall work efficiency of the surveying and mapping strategy. Attached Figure Description

[0039] The invention will now be further described with reference to the accompanying drawings.

[0040] Figure 1 This is a schematic diagram of the system module connections of the present invention. Detailed Implementation

[0041] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0042] Example 1:

[0043] S1: By comparing and analyzing the amount of data collected during the surveying process with the preset standard value, the difference in data volume and the adjacent time are normalized and their values ​​are obtained. The values ​​are then analyzed and processed to obtain abnormal data volume values, and a data volume signal group is generated accordingly.

[0044] S2: By comparing and analyzing the speed of information transmission in the surveying and mapping process with the set speed threshold, the speed is divided into peak points and valley points and their coordinates are obtained. The coordinates of the peak points and valley points are processed to obtain parameters bi and bj. Then, the parameters bi and bj are comprehensively analyzed to obtain the transmission status value, and a transmission signal group is generated accordingly.

[0045] S3: Normalize the planning time, processing time and fusion time and take their values. Analyze the values ​​to obtain the time index. Match the corresponding index formula according to the time index and substitute it to obtain the timeliness value. Then compare and analyze the timeliness value with the set corresponding threshold to generate a timeliness signal group.

[0046] S4: The data signal group, transmission signal group and timing signal group are integrated and processed, and the output control method is used for adjustment. The method includes adding a data acquisition unit, processor and memory.

[0047] Example 2:

[0048] Please see Figure 1 As shown, this invention is a mapping lidar scanning strategy control method and system based on artificial intelligence, including a data acquisition unit, a server, a quantization analysis unit, a velocity analysis unit, a strategy analysis unit, and a comprehensive output unit:

[0049] The data acquisition unit is used to collect the amount of data, transmission speed and duration of each stage of the strategy, and send them to the server for storage. The duration of each stage of the strategy includes the duration of automatic path planning, the duration of information classification and segmentation, and the duration of information fusion.

[0050] The data volume of information collected per unit time is obtained, where the unit time is one minute, two minutes, five minutes, or ten minutes, and the data volume represents the size of the collected information; a two-dimensional coordinate graph of data volume and time is established with time as the horizontal axis and data volume as the vertical axis to obtain a graph of the relationship between data volume and time; the line graph of data volume and time is updated in real time and sent to the server for storage and display.

[0051] A preset standard value is set, and the amount of data exceeding the preset standard value is marked as the amount of data to be analyzed, and the time corresponding to the amount of data is marked as the time of analysis. All the amounts of data to be analyzed and their corresponding times are arranged in chronological order. The difference between the amounts of data to be analyzed at adjacent times is calculated to obtain the difference in data volume, and the time difference between the corresponding adjacent amounts of data to be analyzed is calculated to obtain the adjacent duration.

[0052] The data volume difference sh1 and the adjacent duration sh2 are used through a preset model. The outlier value SHZ is obtained, where a1 and a2 are preset weighting coefficients. The formula shows that the larger the difference in data volume and the shorter the adjacent time intervals, the larger the outlier value. This indicates that the larger the difference in data volume within a shorter time interval, the greater the fluctuation in the current survey data volume, and the greater the possibility of anomalies in the survey data collection. A preset outlier interval Z1 is defined. When the outlier value is less than the minimum value within Z1, it indicates that the current survey data volume is relatively small and may have an abnormal trend; in this case, the data volume is marked as slightly abnormal. When the outlier value is within Z1, it is marked as moderately abnormal. When the outlier value is greater than the maximum value within Z1, it indicates that the current survey data volume has a high probability of an abnormal trend; in this case, the data volume is marked as severely abnormal.

[0053] The quantities of data marked as slightly abnormal, moderately abnormal, and severely abnormal are counted separately and labeled as su1, su2, and su3, respectively. The average of these quantities is then calculated and labeled as su0. When su1 > su0 and su1 is the maximum value among su1, su2, and su3, the data volume is in a slightly abnormal state, and this state is marked as a slightly abnormal signal. When su2 > su0 and su2 is the maximum value among su1, su2, and su3, the data volume is in a moderately abnormal state, and this state is marked as a moderately abnormal signal. When su3 > su0 and su3 is the maximum value among su1, su2, and su3, the data volume is in a severely abnormal state, and this state is marked as a severely abnormal signal.

[0054] The data quantity status value SLZ is obtained by setting the formula SLZ = g1×su1 + g1×su2 + g3×su3, where g1, g2 and g3 are preset weight coefficients.

[0055] The generated slight, moderate, and severe data volume anomaly signals are marked as data volume signal groups, and these data volume signal groups are sent to the comprehensive analysis unit.

[0056] The system acquires the information transmission speed per unit time, sets a speed threshold, and compares the transmission speed with the speed threshold. When the transmission speed is greater than or equal to the speed threshold, it indicates that the current information transmission speed of the surveying and mapping data is in a normal transmission speed state, and the transmission speed is recorded as a normal transmission speed signal, with the corresponding time recorded as a peak point. When the transmission speed is less than the speed threshold, it indicates that the current information transmission speed of the surveying and mapping data is below the normal level, and the transmission speed is recorded as a low-speed transmission speed signal, with the corresponding time recorded as a valley point.

[0057] A two-dimensional coordinate system is established with time (t) on the x-axis and transmission speed (v) on the y-axis to obtain a graph showing the relationship between transmission speed and time. The average transmission speed is obtained by summing all transmission speeds. The median time is recorded as the average time.

[0058] Obtain the coordinates of the valley and peak points and denote them as (ti, vi) and (tj, vj), where i = 1, 2, 3...n1, j = 1, 2, 3...n2, and n1 and n2 are positive integers; calculate the valley coordinates using a preset formula. After obtaining the parameter bi, the peak coordinates are calculated using a preset formula. Get the parameter bj;

[0059] It should be noted that when the parameter bi is greater than or equal to zero, it indicates that the transmission speed of the current surveying and mapping information is low but generally in an upward or stable state, and this is marked as a valley-rise parameter; when the parameter bi is less than zero, it indicates that the transmission speed of the current surveying and mapping information is not only low but also generally in a downward state, and this is marked as a valley-fall parameter; when the parameter bj is greater than or equal to zero, it indicates that the transmission speed of the current surveying and mapping information is at a normal transmission speed and generally in an upward or stable state, and this is marked as a peak-rise parameter; when the parameter bj is less than zero, it indicates that the transmission speed of the current surveying and mapping information is at a normal speed but generally in a downward state, and this is marked as a peak-fall parameter.

[0060] The descent parameter (CA1) is obtained by summing all trough and peak descent parameters, and the descent parameter (CA2) is obtained by summing all trough and peak descent parameters. The descent parameter (CA1) and the descent parameter (CA2) are then expressed using the preset formula Y1 = log m (e1×CA1+e2×CA2) yields the parameter factor Y1, where m>1;

[0061] Let all transmission speeds be denoted as vk, where i∈k and j∈k; substitute the transmission speed vk and parameter factor Y1 into the preset formula. Obtain the transmission status value CHZ, where f1 is a set coefficient; set the transmission status interval Z1. When the transmission status value is greater than the maximum value in the set transmission status interval Z1, it indicates that the current transmission status is generally in a high-speed state, and it is marked as a high-speed transmission status signal; when the transmission status value is within the set transmission status interval Z1, it indicates that the current transmission status is generally in a medium-speed state, and it is marked as a medium-speed transmission status signal; when the transmission status value is less than the minimum value in the set transmission status interval Z1, it indicates that the current transmission status is generally in a low-speed state, and it is marked as a low-speed transmission status signal.

[0062] The generated high-speed, medium-speed, and low-speed transmission status signals are marked as transmission signal groups and sent to the integrated output unit.

[0063] The time taken for automatic path planning, information classification and segmentation, and information fusion during the surveying process are recorded as planning time Tm1, processing time Tm2, ​​and fusion time Tm3, respectively. It should be noted that automatic path planning refers to determining the scope and density of the acquisition area and formulating an acquisition plan, including parameters such as flight altitude, flight speed, scanning angle, and scanning density. Information classification and segmentation refers to performing multiple processing steps on the acquired laser point cloud data, including denoising, registration, segmentation, classification, and reconstruction, to obtain the three-dimensional geometric information and ground feature characteristics of the target area. Information fusion refers to fusing the acquired lidar data with other data sources, such as aerial or ground-based image data, to obtain more complete and accurate information.

[0064] The planning duration Tm1, processing duration Tm2, ​​and fusion duration Tm3 are used to obtain the duration index Y2 using the formula Y2 = c1 × Tm1 + c2 × Tm2 + c3 × Tm3, where c1, c2, and c3 are preset weighting coefficients. An index interval Z2 is defined. When the duration index is greater than the maximum value in the defined index interval Z2, it is recorded as a high duration index and matched with index formula one; when the duration index is within the defined index interval Z2, it is recorded as a medium duration index and matched with index formula two; when the duration index is less than the minimum value in the defined index interval Z2, it is recorded as a low duration index and matched with index formula three. Index formula one is: log a1 (d1×Y2); the second exponential formula is: log a2 (d2×Y2); Formula 3 for the exponent is: log a3 (d3×Y2), where a1>a2>0>a3, and d1, d2 and d3 are preset weight coefficients;

[0065] Substitute the duration index Y2, denoted as high duration index, medium duration index, and low duration index, into the matching index formula to calculate the corresponding timeliness value SX; set a timeliness interval Z3, and compare the timeliness value with the set timeliness interval. When the timeliness value is greater than the maximum value in the set timeliness interval Z3, a high-efficiency surveying and mapping status signal is generated; when the timeliness value is within the set timeliness interval Z3, a medium-efficiency surveying and mapping status signal is generated; when the timeliness value is less than the minimum value in the set timeliness interval Z3, a low-efficiency surveying and mapping status signal is generated.

[0066] The generated high-efficiency, medium-efficiency, and low-efficiency surveying status signals are recorded as a time-effect signal group and sent to the integrated output unit.

[0067] The integrated output unit will comprehensively analyze the received data signal group, transmission signal group, and strategy signal group and output the corresponding data, specifically:

[0068] The data volume slight anomaly signals, moderate data volume anomaly signals, and severe data volume anomaly signals in the data volume signal group are denoted as A*, A**, and A***, respectively; the transmission high-speed transmission status signals, transmission medium-speed transmission status signals, and transmission low-speed transmission status signals in the transmission signal group are denoted as B*, B**, and B***, respectively; and the timeliness signal group high-efficiency mapping status signals, medium-efficiency mapping status signals, and low-efficiency mapping status signals are denoted as C*, C**, and C***, respectively. Wherein, * indicates the signal type level, and the more *s, the higher the level. Specifically, * indicates a level 1 severity signal, ** indicates a level 2 severity signal, and *** indicates a level 3 severity signal.

[0069] When A***∪B***∪C*** is received simultaneously, a first-level strategy warning signal is generated, indicating that the amount of information data collected during the surveying process is abnormal, the information transmission speed is low, and the timeliness of the surveying strategy is seriously low, causing the progress of the entire surveying work to be seriously delayed. Then, the number of data collectors is increased to collect surveying information, the number of storage devices is increased to receive the surveying information, and the number of data processors is increased to process the collected information.

[0070] When A*∪B* and C* are received simultaneously, a mapping excellent strategy signal is generated and displayed with the text "Mapping current strategy excellent status";

[0071] In other cases, data volume status values, transmission status values, and timeliness values ​​are retrieved from the quantization analysis unit, speed analysis unit, and strategy analysis unit for comparison, specifically:

[0072] A conversion factor is set for each of the data volume status value, transmission status value, and timeliness value. The data volume status value, transmission status value, and timeliness value are multiplied by their respective conversion factors to obtain the data volume conversion value, transmission conversion value, and timeliness conversion value. The largest value is selected. When the maximum value is the data volume status value, the number of data collectors is increased to collect mapping information. When the maximum value is the transmission status value, the number of storage devices is increased to receive the collected mapping information. When the maximum value is the timeliness conversion value, the number of data processors is increased to process the collected information.

[0073] It should be noted that the conversion factor represents a coefficient that converts the data volume status value, transmission status value, and timeliness value into the same attribute, making it convenient to make a unified comparison of the three values ​​that measure different directions.

[0074] Furthermore, this invention compares and analyzes the amount of data collected during the surveying process with a preset standard value to obtain the difference in data volume and the adjacent time intervals. It then normalizes these differences, analyzes and processes the values ​​to obtain abnormal data volume values, and generates a data volume signal group based on these values. The actual status of the data volume reflects the current working status of the information collected during the surveying process, thereby enabling the monitoring of the data volume during the surveying process.

[0075] Furthermore, this invention compares and analyzes the information transmission speed in surveying and mapping with a set speed threshold, dividing the speed into peak and trough points and obtaining their coordinates. Data processing of the peak and trough point coordinates yields parameters bi and bj. A comprehensive analysis of parameters bi and bj then yields a transmission status value, which is used to generate a transmission signal group. The processing and analysis of transmission speed data reflects the status of information transmission in surveying and mapping, thus enabling the monitoring of information transmission during the surveying and mapping process.

[0076] Furthermore, this invention normalizes the planning time, processing time, and fusion time and takes their values. The values ​​are then analyzed to obtain a time index. The corresponding index formula is matched to the time index and substituted to obtain the timeliness value. The timeliness value is then compared and analyzed with the set corresponding threshold to generate a timeliness signal group. By measuring the time used in each stage of the survey and conducting comprehensive analysis, the overall work status of the survey is accurately reflected, realizing a comprehensive timeliness analysis of each stage of the survey.

[0077] Furthermore, this invention comprehensively analyzes the data volume signal group, transmission signal group, and timeliness signal group and takes corresponding adjustment measures to control and regulate the surveying strategy. This effectively and promptly solves the problems of abnormal information acquisition, insufficient transmission speed to meet surveying requirements, and low overall efficiency and timeliness of the strategy during the surveying process, thereby improving the overall working efficiency of the surveying strategy.

[0078] The above description is merely an example and illustration of the structure of the present invention. Those skilled in the art can make various modifications or additions to the specific embodiments described, or use similar methods to replace them, as long as they do not deviate from the structure of the invention or exceed the scope defined in the claims, all of which should fall within the protection scope of the present invention.

Claims

1. A mapping lidar scanning strategy control method based on artificial intelligence, characterized in that, Includes the following steps: S1: By comparing and analyzing the amount of data collected during the surveying process with the preset standard value, the difference in data amount and the adjacent duration are obtained. Then, the difference in data amount and the adjacent duration are normalized and their values ​​are obtained. The values ​​are analyzed and processed to obtain the abnormal values ​​of data amount, and a data amount signal group is generated accordingly. S2: By comparing and analyzing the speed of information transmission in the surveying and mapping process with the set speed threshold, the speed is divided into peak points and valley points and their coordinates are obtained. The coordinates of the peak points and valley points are processed to obtain parameters bi and bj. Then, the parameters bi and bj are comprehensively analyzed to obtain the transmission status value, and a transmission signal group is generated accordingly. The specific steps for analyzing valley points and peak points are as follows: A Cartesian two-dimensional coordinate system is established to obtain a graph showing the relationship between transmission speed and time; the average transmission speed is obtained by summing all the transmission speeds. The median time is recorded as the average time. Obtain the coordinates of the valley point and the peak point, and process the coordinates of the valley point and the peak point to obtain the parameters bi and bj respectively; when the parameter bi is greater than or equal to zero, the parameter is marked as the valley rise parameter. When the parameter bi is less than zero, the parameter is marked as the valley parameter; When parameter bj is greater than or equal to zero, it is marked as peak rise parameter; when parameter bj is less than zero, it is marked as peak fall parameter; the valley fall parameter and the peak fall parameter are summed to obtain the fall parameter, and the valley rise parameter and the peak rise parameter are summed to obtain the rise parameter. S3: Normalize the planning time, processing time and fusion time and take their values. Analyze the values ​​to obtain the time index. Match the corresponding index formula according to the time index and substitute it to obtain the timeliness value. Then compare the timeliness value with the set corresponding threshold to generate a timeliness signal group. S4: Integrate and process the data signal group, transmission signal group, and timing signal group, and output the control method for adjustment.

2. The mapping lidar scanning strategy control method based on artificial intelligence according to claim 1, characterized in that, The control system used in this method includes a data acquisition unit, a server, a quantization analysis unit, a speed analysis unit, a strategy analysis unit, and a comprehensive output unit; The data acquisition unit is used to collect the amount of data, transmission speed and duration of each stage of the strategy, and send it to the server for storage. The quantitative analysis unit is used to analyze and judge the amount of data collected during surveying and mapping to obtain the status of the current surveying and mapping data, and generate a data volume signal group to send to the integrated output unit; The speed analysis unit compares and analyzes the speed of information transmission in the surveying and mapping process with a set speed threshold, divides the speed into peak points and valley points and obtains their coordinates. The coordinates of the peak points and valley points are processed to obtain parameters. The parameters are then comprehensively analyzed to obtain the transmission status value, and a transmission signal group is generated and sent to the integrated output unit based on this value. The strategy analysis unit is used to normalize the planning time, processing time and fusion time and take their values. The values ​​are analyzed to obtain the time index. The corresponding index formula is matched according to the time index and substituted into it to obtain the timeliness value. The timeliness value is then compared with the set corresponding threshold to generate a timeliness signal group and sent to the comprehensive output unit. The integrated output unit is used to comprehensively analyze the data signal group, transmission signal group and timing signal group and take corresponding adjustment measures.

3. The mapping lidar scanning strategy control method based on artificial intelligence according to claim 2, characterized in that, The specific steps for the quantitative analysis unit to analyze the amount of data collected are as follows: The data volume is compared with a preset standard value to obtain the data volume difference and adjacent time intervals. Both are normalized and their values ​​are taken. Numerical analysis generates data volumes of slight, moderate, and severe anomalies. The number of data volumes marked as slight, moderate, and severe anomalies is counted and labeled as su1, su2, and su3 respectively. The average of these three data volumes is obtained by averaging and labeled as su0. When su1 > su0 and su1 is equal to su1, su2, su3, su4, su5, su6, su7, su8, su9, su10 ... When su2 > su0 and su2 is the maximum value among su1, su2, and su3, the current state of the surveyed data volume is marked as a slight abnormality signal; when su2 > su0 and su2 is the maximum value among su1, su2, and su3, the current state of the surveyed data volume is marked as a moderate abnormality signal; when su3 > su0 and su3 is the maximum value among su1, su2, and su3, the current state of the surveyed data volume is marked as a severe abnormality signal. The generated slight abnormality signal, moderate abnormality signal, and severe abnormality signal are marked as a data volume signal group.

4. The mapping lidar scanning strategy control method based on artificial intelligence according to claim 2, characterized in that, The specific steps for the speed analysis unit to analyze information transmission speed are as follows: By comparing and analyzing the information transmission speed with a set speed threshold, valley points and peak points are obtained. These valley points and peak points are then analyzed and processed to obtain rise and fall parameters. These parameters are then processed to obtain parameter factors. The transmission speed and parameter factors are then substituted into a preset formula. Obtain the transmission status value CHZ; set the transmission status interval Z1. When the transmission status value is greater than the maximum value in the set transmission status interval Z1, it is marked as a high-speed transmission status signal; when the transmission status value is within the set transmission status interval Z1, it is marked as a medium-speed transmission status signal; when the transmission status value is less than the minimum value in the set transmission status interval Z1, it is marked as a low-speed transmission status signal, where f1 is the set coefficient, vk is the transmission speed, and Y1 is the parameter factor. The generated high-speed transmission status signal, medium-speed transmission status signal, and low-speed transmission status signal are labeled as transmission signal groups.

5. The mapping lidar scanning strategy control method based on artificial intelligence according to claim 2, characterized in that, The specific steps for the strategy analysis unit to analyze the duration of each part of the mapping strategy are as follows: The planning time, processing time, and fusion time are used to obtain the time index Y2 through data processing; Define an index range Z2. When the duration index is greater than the maximum value in the defined index range Z2, it will be recorded as a high duration index and matched with index formula one; when the duration index is within the defined index range Z2, it will be recorded as a medium duration index and matched with index formula two; when the duration index is less than the minimum value in the defined index range Z2, it will be recorded as a low duration index and matched with index formula three. Substitute the duration index Y2, denoted as high duration index, medium duration index, and low duration index, into the matching index formula to calculate the corresponding timeliness value; set a timeliness interval Z3, and compare the timeliness value with the set timeliness interval. When the timeliness value is greater than the maximum value in the set timeliness interval Z3, a high-efficiency surveying and mapping status signal is generated; when the timeliness value is within the set timeliness interval Z3, a medium-efficiency surveying and mapping status signal is generated; when the timeliness value is less than the minimum value in the set timeliness interval Z3, a low-efficiency surveying and mapping status signal is generated. The generated high-efficiency, medium-efficiency, and low-efficiency surveying status signals are denoted as the time-effect signal group.

6. The mapping lidar scanning strategy control method based on artificial intelligence according to claim 2, characterized in that, The integrated output unit will comprehensively analyze the received data signal group, transmission signal group, and strategy signal group and output the corresponding data, specifically: The slight data volume anomaly signal, moderate data volume anomaly signal, and severe data volume anomaly signal in the data volume signal group are respectively denoted as A*, A**, and A***; the high-speed transmission status signal, medium-speed transmission status signal, and low-speed transmission status signal in the transmission signal group are respectively denoted as B*, B**, and B***; and the high-efficiency mapping status signal, medium-efficiency mapping status signal, and low-efficiency mapping status signal in the timeliness signal group are respectively denoted as C*, C**, and C***. When A***∪B***∪C*** is received simultaneously, a Level 1 policy warning signal is generated, and the number of data collectors, memory, and data processors are increased. In other cases, data volume status values, transmission status values, and timeliness values ​​are retrieved from the quantization analysis unit, speed analysis unit, and strategy analysis unit for comparison, specifically: The data volume status value, transmission status value, and timeliness value are multiplied by their respective conversion factors to obtain the data volume conversion value, transmission conversion value, and timeliness conversion value. The largest value is then selected. When the maximum value is the data volume status value, the number of data collectors is increased. When the maximum value is the transmission conversion value, the number of storage devices is increased. When the maximum value is the timeliness conversion value, the number of data processors is increased.

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