Methods and devices for renovating open-pit mine spoil heaps

By acquiring the operating parameters of trucks and bulldozers, and utilizing a stream computing engine and the Douglas-Puk algorithm, a precise spoil heap area is generated. This solves the problem of inaccurate unloading caused by dispatchers' inability to understand the actual situation in a timely manner, thereby improving the accuracy of truck unloading, reducing the workload of bulldozers, and increasing the working efficiency of open-pit mine spoil heaps.

CN115204613BActive Publication Date: 2026-03-06SHENHUA HOLLYSYS INFORMATION TECH CO LTD
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
Filing Date
2022-06-21
Publication Date
2026-03-06

AI Technical Summary

Technical Problem

In the existing technology, dispatchers at open-pit mine spoil heaps cannot obtain timely information about the actual situation, resulting in inaccurate truck unloading locations and inaccurate haul distance calculations, which increases the workload of bulldozers and reduces work efficiency.

Method used

By acquiring the operating parameters of trucks and bulldozers, and utilizing a stream computing engine and the Douglas-Pock algorithm, a precise spoil heap area is generated. The updating device includes a comparison module, a generation module, and an updating module to achieve precise updating of the spoil heap.

Benefits of technology

It improved the accuracy of truck unloading, reduced the workload of bulldozers, and increased the efficiency of open-pit mine spoil heaps.

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Abstract

This invention provides a method and apparatus for updating open-pit mine spoil heaps, belonging to the field of open-pit mine spoil heap planning technology. At least one bulldozer is present within the spoil heap. The method includes: determining that the cumulative number of unloading operations by trucks within the initial spoil heap area is greater than a preset number of unloading operations; obtaining a dataset of unloading points for each truck within the initial spoil heap area based on the operating parameters of each truck, and obtaining a dataset of movement points for each bulldozer within the initial spoil heap area based on the operating parameters of each bulldozer; and obtaining the updated spoil heap area based on the unloading point datasets of all trucks and the movement point datasets of all bulldozers. The method and apparatus for updating open-pit mine spoil heaps of this invention improve the accuracy of the updated spoil heap location area, enabling trucks to unload accurately, thereby reducing the workload of bulldozers and improving operational efficiency.
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Description

Technical Field

[0001] This invention relates to the field of open-pit mine spoil heap planning technology, specifically to a method for renovating an open-pit mine spoil heap, a device for renovating an open-pit mine spoil heap, a machine-readable storage medium, and a terminal device. Background Technology

[0002] Open-pit mine spoil heaps play a crucial role in mine waste transportation, serving as vital areas for handling mine waste. Multiple trucks transport waste back and forth within these heaps, often driven manually. Due to the unpredictable nature of bulldozer operations, it's impossible to pre-assign drivers to precise unloading locations. Therefore, designated unloading areas are established. After unloading, bulldozers pile the waste in these areas to a certain height. However, as truck unloading points and bulldozer operating areas change, the location of the spoil heap in the open-pit mine must also change accordingly, and these changes are relatively frequent. Dispatchers need to update and maintain the spoil heap information on the intelligent transportation safety system platform in a timely manner. However, dispatchers work in the dispatch room and cannot readily access real-time information about the actual situation at the spoil heap. Significant discrepancies exist between the dispatcher's determined spoil heap area and the actual situation, leading to inaccurate truck unloading locations. This results in inaccurate transport distance calculations, inaccurate unloading, increased bulldozer workload, and reduced efficiency. How to efficiently and accurately generate spoil heaps, locate parking and unloading points, and carry out spoil heap work safely, orderly, and efficiently are urgent problems to be solved. Summary of the Invention

[0003] The purpose of this invention is to provide a method and apparatus for updating open-pit mine spoil heaps. This method and apparatus are used to solve the problems mentioned above, where there is a large error between the spoil heap area determined by the dispatcher and the actual situation, which leads to inaccurate truck unloading positions, resulting in inaccurate haul distance calculations, inaccurate unloading, increased workload of bulldozers, and reduced work efficiency.

[0004] To achieve the above objectives, embodiments of the present invention provide a method for renewing an open-pit mine spoil heap, wherein at least one bulldozer is present in the spoil heap, comprising:

[0005] Determine that the cumulative number of times the truck unloads within the initial spoil heap area is greater than the preset number of unloading times;

[0006] The unloading point dataset for each truck within the initial spoil heap area is obtained based on the operating parameters of each truck, and the movement point dataset for each bulldozer within the initial spoil heap area is obtained based on the operating parameters of each bulldozer.

[0007] The updated spoil heap extent is obtained based on the dataset of unloading points for all trucks and the dataset of movement points for all bulldozers.

[0008] Optionally, the truck's operating parameters include: the truck's location (latitude and longitude coordinates), speed, and transportation status; the transportation status includes: air transport status and heavy load status.

[0009] The operating parameters of the bulldozer include: the latitude and longitude coordinates of the bulldozer's movement path.

[0010] Optionally, the method further includes:

[0011] Based on the stream computing engine, the trajectory correction algorithm is used to correct the movement trajectory of the truck and the bulldozer, so as to obtain the latitude and longitude coordinates of the truck's position and the latitude and longitude coordinates of the bulldozer's movement path.

[0012] Optionally, the dataset of unloading points for each truck within the initial spoil heap area, obtained based on the operating parameters of each truck, includes:

[0013] Confirm that the truck is heavily loaded;

[0014] The latitude and longitude coordinates of the truck's location within the initial spoil heap and at a speed less than the preset speed are determined as the truck unloading point.

[0015] Optionally, the method further includes:

[0016] The Douglas-Puk algorithm was used to thin out the unloading points for each truck, resulting in a dataset of unloading points for each truck.

[0017] Optionally, the data set of movement points of each bulldozer within the initial spoil heap area, obtained based on the operating parameters of each bulldozer, includes:

[0018] The Douglas-Puk algorithm was used to thin out the latitude and longitude coordinates of the bulldozer's movement path for each bulldozer, resulting in a dataset of movement points for each bulldozer.

[0019] Optionally, the updated spoil heap extent, derived from the dataset of unloading points for all trucks and the dataset of movement points for all bulldozers, includes:

[0020] Identify the points with the highest latitude, highest longitude, lowest latitude, and lowest longitude in all unloading point datasets and all moving point datasets;

[0021] Connecting the point with the maximum latitude, the point with the maximum longitude, the point with the minimum latitude, and the point with the minimum longitude in sequence forms a closed region;

[0022] The enclosed area is expanded by a preset multiple to obtain the updated spoil heap area.

[0023] This invention also provides a renewal device for open-pit mine spoil heaps, comprising:

[0024] The comparison module is used to determine whether the cumulative number of unloadings by the truck within the initial spoil heap area is greater than the preset number of unloadings;

[0025] The generation module is used to obtain a dataset of unloading points for each truck within the initial spoil heap area based on the operating parameters of each truck, and to obtain a dataset of movement points for each bulldozer within the initial spoil heap area based on the operating parameters of each bulldozer.

[0026] The update module is used to obtain the updated spoil heap extent based on the unloading point dataset of all trucks and the movement point dataset of all bulldozers.

[0027] The present invention also provides a machine-readable storage medium storing instructions for causing a machine to perform the above-described method for updating open-pit mine spoil heaps.

[0028] The present invention also provides a terminal device, including a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor executes the computer program to implement the steps of the above-described method for updating open-pit mine spoil heaps.

[0029] This invention obtains the operating parameters of the trucks and bulldozers when the cumulative number of unloadings by the trucks in the initial spoil heap exceeds a preset number of unloadings. It then generates a dataset of unloading points for each truck and a dataset of movement points for each bulldozer within the initial spoil heap area. Based on these datasets, an updated spoil heap is obtained. This precise information update makes the location of the spoil heap more accurate, enabling trucks to unload precisely, thereby reducing the workload of the bulldozers and improving operational efficiency.

[0030] Other features and advantages of the embodiments of the present invention will be described in detail in the following detailed description section. Attached Figure Description

[0031] The accompanying drawings are provided to further illustrate embodiments of the present invention and form part of the specification. They are used together with the following detailed description to explain the embodiments of the present invention, but do not constitute a limitation thereof. In the drawings:

[0032] Figure 1 This is a flowchart of the method for updating open-pit mine spoil heaps provided by the present invention;

[0033] Figure 2 This is a flowchart of the overall process for updating open-pit mine spoil heaps provided by the present invention;

[0034] Figure 3 This is a comparative schematic diagram of the updated spoil heap provided by the present invention;

[0035] Figure 4 This is a schematic diagram of the structure of the renewal device for open-pit mine spoil heaps provided by the present invention.

[0036] Explanation of reference numerals in the attached figures

[0037] 10 - Compare module; 20 - Generate module; 30 - Update module. Detailed Implementation

[0038] The specific embodiments of the present invention will be described in detail below with reference to the accompanying drawings. It should be understood that the specific embodiments described herein are for illustration and explanation only and are not intended to limit the scope of the present invention.

[0039] In the embodiments of the present invention, unless otherwise stated, directional terms such as "up," "down," "left," and "right" generally refer to the orientation or positional relationship shown in the accompanying drawings, or the orientation or positional relationship in which the product of the invention is usually placed when in use.

[0040] The terms “first,” “second,” “third,” etc., are used only to distinguish descriptions and should not be interpreted as indicating or implying relative importance.

[0041] Furthermore, terms like "roughly" and "basically" are used to indicate that the content does not require absolute precision, but rather allows for a certain degree of deviation. For example, "roughly equal" does not simply mean absolute equality; in actual production and operation, achieving absolute "equality" is difficult, and a certain degree of deviation is generally present. Therefore, besides absolute equality, "roughly equal to" also includes the aforementioned situation where a certain degree of deviation exists. Using this as an example, in other cases, unless otherwise specified, terms like "roughly" and "basically" have similar meanings.

[0042] In the description of this invention, it should also be noted that, unless otherwise explicitly specified and limited, the terms "set," "install," "connect," and "link" should be interpreted broadly. For example, they can refer to a fixed connection, a detachable connection, or an integral connection; they can refer to a direct connection or an indirect connection through an intermediate medium; and they can refer to the internal connection of two components. Those skilled in the art can understand the specific meaning of the above terms in this invention based on the specific circumstances.

[0043] Figure 1This is a flowchart of the method for updating open-pit mine spoil heaps provided by the present invention; Figure 2 This is a flowchart of the overall process for updating open-pit mine spoil heaps provided by the present invention.

[0044] like Figure 1-2 As shown, this embodiment of the invention provides a method for renewing an open-pit mine spoil heap, wherein at least one bulldozer is present in the spoil heap, including:

[0045] Step 101: Determine that the cumulative number of unloadings by the truck within the initial spoil heap area is greater than the preset number of unloadings;

[0046] Step 102: Based on the operating parameters of each truck, obtain the unloading point dataset of each truck within the initial spoil heap area, and based on the operating parameters of each bulldozer, obtain the movement point dataset of each bulldozer within the initial spoil heap area.

[0047] Step 103: Obtain the updated spoil heap extent based on the dataset of unloading points for all trucks and the dataset of moving points for all bulldozers.

[0048] Specifically, in existing technologies, a large amount of waste soil and slag is generated during mining operations, requiring the designation of specific dumping areas. These dumping areas are often quite large, necessitating the designation of smaller spoil heaps based on actual conditions. Furthermore, the size and location of these spoil heaps may change. During operations, both trucks and bulldozers are manually operated, with multiple trucks repeatedly unloading within the dumping area. Bulldozers then level and pile the unloaded waste soil and slag. However, uncontrollable factors exist in both the actual truck unloading process and the bulldozer operation, such as truck damage requiring repair or the bulldozer failing to level the unloaded waste soil and slag in a timely manner. Therefore, it is impossible to accurately and promptly assign a precise unloading point to each truck. Consequently, only smaller spoil heap areas are designated within the mining area, ensuring that trucks can generally unload within this area, thereby reducing the workload of the bulldozers. The truck is equipped with a display device that shows its relative position to the spoil heap area in real time. After entering the spoil heap area, the truck begins unloading, and the unloading point is determined by the truck driver based on the actual unloading location. The truck's maximum speed while moving to the spoil heap area for unloading is the first speed; after unloading, the truck's maximum speed is the second speed, and the first speed is less than the second speed.

[0049] The cumulative number of unloadings within the initial spoil heap area can be determined by reading the truck routes entering the area. However, some trucks may have already finished unloading and are passing through the spoil heap area again. Therefore, speed is introduced as an auxiliary factor to accurately determine the cumulative number of unloadings within the initial spoil heap area. Specifically, the speed of the trucks entering the initial spoil heap area is obtained. If a truck is about to unload, its speed will quickly decrease to less than the first speed to facilitate unloading. If a truck has already finished unloading and is only passing through the initial spoil heap area, its speed will not decrease significantly. Therefore, the length of time each truck spends entering the initial spoil heap area and its speed during that time can be obtained, and the average value can be calculated. If the calculated average value is greater than the third speed, the truck route is discarded. The third speed is greater than the first speed and less than the second speed. After accurately determining the cumulative number of unloadings by trucks within the initial spoil heap area, this cumulative number is compared with a preset number of unloadings. If the cumulative number of unloadings is less than or equal to the preset number, the initial spoil heap continues to be used, and the initial spoil heap area remains unchanged. If the cumulative number of unloadings exceeds the preset number, the initial spoil heap area needs to be updated. Once the spoil heap area update is determined, a dataset of unloading points for each truck within the initial spoil heap area is obtained based on the operating parameters of each truck, and a dataset of movement points for each bulldozer within the initial spoil heap area is obtained based on the operating parameters of each bulldozer. The updated spoil heap area is then obtained using the unloading point datasets of all trucks and the movement point datasets of all bulldozers.

[0050] The initial spoil heap area is determined based on the actual mining conditions, such as area size, mining efficiency, waste soil and slag ratio, and truck unloading frequency; alternatively, the spoil heap area from the last update can be used as the initial spoil heap area. The cumulative number of unloading operations is determined based on the number of bulldozers and the area of ​​the initial spoil heap area.

[0051] Furthermore, the truck's operating parameters include: the truck's location (latitude and longitude coordinates), speed, and transportation status; the transportation status includes: air transport status and heavy load status.

[0052] The operating parameters of the bulldozer include: the latitude and longitude coordinates of the bulldozer's movement path.

[0053] Specifically, the latitude and longitude coordinates of the truck's location can be obtained through a positioning and speed measurement module installed on the truck. This module is based on the GNSS system, supports dual-frequency positioning of Beidou and GPS, and uses RTD differential technology to improve positioning accuracy, ensuring accurate positioning of the truck's latitude and longitude coordinates and speed, thus guaranteeing data accuracy. The truck's transportation status can be determined by its speed. For example, when the truck is heading to the spoil heap area for unloading, it is in a loaded state, and its speed is relatively low, with the maximum speed being the first speed. After unloading, the truck is in an empty state, and its speed is slightly higher than when it is heavily loaded, with the maximum speed being the second speed, which is lower than the first speed.

[0054] The bulldozer operates within the initial spoil heap area, and therefore, it is also equipped with a positioning and speed measurement module. This module is based on the GNSS system and supports dual-frequency positioning of Beidou and GPS. It also uses RTD differential technology to improve positioning accuracy. First, the latitude and longitude coordinates of the bulldozer at different times are obtained. Then, by moving the time, the latitude and longitude coordinates of the bulldozer's movement path can be obtained.

[0055] Furthermore, the method also includes:

[0056] Based on the stream computing engine, the trajectory correction algorithm is used to correct the movement trajectory of the truck and the bulldozer, so as to obtain the latitude and longitude coordinates of the truck's position and the latitude and longitude coordinates of the bulldozer's movement path.

[0057] Specifically, to ensure the accuracy of the location data, this implementation uses a trajectory correction algorithm based on a stream computing engine to correct the movement trajectories of the truck and the bulldozer, obtaining the latitude and longitude coordinates of the truck's position and the bulldozer's movement path. More specifically, since the bulldozer may adjust its posture and move outside the initial spoil heap area during operation, points located outside the initial spoil heap area are discarded during the correction process. The remaining points on the bulldozer's movement path are then used to obtain a dataset of the bulldozer's movement points within the initial spoil heap area.

[0058] Furthermore, the dataset of unloading points for each truck within the initial spoil heap area, obtained based on the operating parameters of each truck, includes:

[0059] Confirm that the truck is heavily loaded;

[0060] The latitude and longitude coordinates of the truck's location within the initial spoil heap and at a speed less than the preset speed are determined as the truck unloading point.

[0061] Specifically, the transportation state of the truck can be determined by the truck speed. For example, when the truck goes to the waste dump area for unloading, it is in a loaded state, and its driving speed is relatively low, with the maximum driving speed being the first speed. After the truck completes unloading, it is in an empty flight state. Compared with driving under heavy load, its driving speed is slightly higher, with the maximum driving speed being the second speed, and the first speed is less than the second speed. After determining that the truck is in a loaded state, the truck enters the waste dump area for unloading. During the unloading process, the truck may stop directly for unloading, or it may reduce its driving speed and move forward while unloading. However, when using the method of moving forward while unloading, the volume of the area occupied by the waste and slag is not much different from that of the method of stopping for unloading. Therefore, the point where the truck first stops or the point where the truck speed is less than the preset speed is directly determined as the unloading point of the truck. Through the above method, the unloading points of all trucks that have unloaded can be obtained and merged into a data set.

[0062] In another embodiment, in order to reduce the amount of data, the point where the truck first stops or the point where the truck speed is first less than the preset speed is directly determined as the unloading point of the truck, greatly reducing the number of unloading points corresponding to each truck in the initial waste dump.

[0063] Furthermore, the method further includes:

[0064] Using the Douglas-Peucker algorithm to thin out the truck unloading points corresponding to each truck to obtain the unloading point data set of each truck.

[0065] Specifically, since the truck transports and unloads back and forth, there may be overlaps in the collection. In order to reduce the amount of data in the process of updating the waste dump, reduce the calculation time and resource occupation, the truck unloading points corresponding to each truck are thinned out to obtain the unloading point data set of each truck. <o:p>The Douglas-Peucker algorithm specifically includes: virtually connecting a straight line between the start and end points of each truck trajectory, calculating the distances from all points to the straight line, and finding the maximum distance value d max , , max , max , max , max ,

[0067] , using d max Compared with the tolerance D: if d max < D, all the intermediate points on this curve are discarded; if d max ≥ D, the coordinate points corresponding to d <o:p> max are retained, and taking this point as the boundary, the curve is divided into two parts, and this method is repeatedly used for these two parts.

[0067] In another embodiment, a Hash Map is used to reduce the time complexity. During the thinning process, the calculated results of the longitude and latitude of the coordinate points are used as the Key of the Hash Map, and the Keys of points with similar coordinates are the same.

[0068] Furthermore, the dataset of movement points of each bulldozer within the initial spoil heap area, obtained based on the operating parameters of each bulldozer, includes:

[0069] The Douglas-Puk algorithm was used to thin out the latitude and longitude coordinates of the bulldozer's movement path for each bulldozer, resulting in a dataset of movement points for each bulldozer.

[0070] Specifically, this method is the same as the method described above that uses the Douglas-Puk algorithm to thin out the unloading points of each truck to obtain the unloading point dataset for each truck, and will not be repeated here.

[0071] Furthermore, the updated spoil heap extent, obtained from the dataset of unloading points of all trucks and the dataset of movement points of all bulldozers, includes:

[0072] Identify the points with the highest latitude, highest longitude, lowest latitude, and lowest longitude in all unloading point datasets and all moving point datasets;

[0073] Connecting the point with the maximum latitude, the point with the maximum longitude, the point with the minimum latitude, and the point with the minimum longitude in sequence forms a closed region;

[0074] The enclosed area is expanded by a preset multiple to obtain the updated spoil heap area.

[0075] Specifically, after the above steps, all unloading point datasets and all movement point datasets are obtained. Each unloading point and movement point in both datasets corresponds to a latitude and longitude. Therefore, the points with the highest latitude, the highest longitude, the lowest latitude, and the lowest longitude are selected. These points are then connected end-to-end to form a closed region. Finally, this closed region is expanded by a preset multiple to obtain the final updated spoil heap area. The preset multiple can be determined based on the actual mining conditions, such as the area size, mining efficiency, waste soil and slag ratio, and truck unloading frequency.

[0076] Figure 3 This is a comparative schematic diagram of the updated spoil heap provided by the present invention, as shown below. Figure 3 As shown, Figure 3The two images in the image show two spoil heap areas: the left image (a) shows two spoil heap areas divided by human experience, and the right image (b) shows two spoil heap areas updated by the spoil heap update method described above. The spoil heap areas updated by the above method are smaller than the corresponding spoil heap areas divided by human experience. While meeting the operating space requirements of trucks and bulldozers, minimizing the area of ​​the spoil heap area can reduce the dispersion of truck unloading, reduce the operating radius and workload of trucks, and improve operating efficiency.

[0077] Figure 4 This is a schematic diagram of the structure of the renewal device for open-pit mine spoil heaps provided by the present invention, as shown below. Figure 4 As shown, an embodiment of the present invention provides a renewal device for an open-pit mine spoil heap, comprising:

[0078] Comparison module 10 is used to determine whether the cumulative number of unloadings by the truck within the initial spoil heap area is greater than the preset number of unloadings;

[0079] The generation module 20 is used to obtain a dataset of unloading points of each truck within the initial spoil heap area based on the operating parameters of each truck, and to obtain a dataset of movement points of each bulldozer within the initial spoil heap area based on the operating parameters of each bulldozer.

[0080] Update module 30 is used to obtain the updated spoil heap extent based on the unloading point dataset of all trucks and the movement point dataset of all bulldozers.

[0081] The present invention also provides a machine-readable storage medium storing instructions for causing a machine to perform the above-described method for updating open-pit mine spoil heaps.

[0082] The present invention also provides a terminal device, including a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor executes the computer program to implement the steps of the above-described method for updating open-pit mine spoil heaps.

[0083] The optional embodiments of the present invention have been described in detail above with reference to the accompanying drawings. However, the embodiments of the present invention are not limited to the specific details in the above embodiments. Within the scope of the technical concept of the embodiments of the present invention, various simple modifications can be made to the technical solutions of the embodiments of the present invention, and these simple modifications all fall within the protection scope of the embodiments of the present invention.

[0084] It should also be noted that the various specific technical features described in the above embodiments can be combined in any suitable manner without contradiction. To avoid unnecessary repetition, the embodiments of the present invention will not describe the various possible combinations separately.

[0085] Those skilled in the art will understand that all or part of the steps in the methods of the above embodiments can be implemented by a program instructing related hardware. This program is stored in a storage medium and includes several instructions to cause a microcontroller, chip, or processor to execute all or part of the steps of the methods described in the various embodiments of the present invention. The aforementioned storage medium includes various media capable of storing program code, such as a USB flash drive, a portable hard drive, a read-only memory (ROM), a random access memory (RAM), a magnetic disk, or an optical disk.

[0086] Furthermore, various different implementations of the present invention can be combined arbitrarily, as long as they do not violate the spirit of the present invention, they should also be regarded as the content disclosed in the present invention.

Claims

1. A method of updating a dump of an open-pit mine, at least one bulldozer being present in the dump, characterized in that, The method comprises: determining that the cumulative unloading times of the truck in the initial dump site range is greater than the preset unloading times, wherein the maximum driving speed of the truck when going to the initial dump site area for unloading is the first speed, and the maximum driving speed of the truck after completing unloading is the second speed; the cumulative unloading times are determined in the following manner: obtaining the train number of the truck entering the initial dump site area, the time length of each truck entering the initial dump site area, and the running speed of the truck in the time length; obtaining the average value of the running speed of each truck; if the average value is greater than the third speed, the train number is discarded, and the cumulative unloading times are obtained, and the third speed is greater than the first speed and less than the second speed; obtaining the unloading point data set of each truck in the initial dump site range based on the running parameters of each truck, and obtaining the moving point data set of each bulldozer in the initial dump site range based on the running parameters of each bulldozer; obtaining the updated dump site range based on the unloading point data set of all trucks and the moving point data set of all bulldozers, comprising: determining the latitude maximum point, the longitude maximum point, the latitude minimum point and the longitude minimum point in all unloading point data sets and all moving point data sets; connecting the latitude maximum point, the longitude maximum point, the latitude minimum point and the longitude minimum point in turn to form a closed area; enlarging the closed area by a preset multiple to obtain the updated dump site range.

2. The method of claim 1, wherein, The running parameters of the truck include truck position latitude and longitude coordinate points, speed and transportation state; the transportation state includes empty state and heavy load state; The running parameters of the bulldozer include bulldozer moving path latitude and longitude coordinate points.

3. The method of claim 2, wherein, The method further comprises: based on the stream computing engine, using a trajectory correction algorithm to correct the moving trajectory of the truck and the moving trajectory of the bulldozer to obtain the truck position latitude and longitude coordinate points and the bulldozer moving path latitude and longitude coordinate points.

4. The method of claim 3, wherein, The method further comprises: determining that the truck is in a heavy load state; determining the truck position latitude and longitude coordinate points of the truck located in the initial dump site and having a speed less than a preset speed as the truck unloading point.

5. The method of claim 4, wherein, The method further comprises: using the Douglas-Pok algorithm to thin out the truck unloading point corresponding to each truck to obtain the unloading point data set of each truck.

6. The method of claim 3, wherein, The method further comprises: using the Douglas-Pok algorithm to thin out the bulldozer moving path latitude and longitude coordinate points corresponding to each bulldozer to obtain the moving point data set of each bulldozer.

7. A reclamation device for a strip mine dump, characterised by comprises: a comparison module for determining that the cumulative unloading times of the truck in the initial dump site range is greater than the preset unloading times, wherein the maximum driving speed of the truck when going to the initial dump site area for unloading is the first speed, and the maximum driving speed of the truck after completing unloading is the second speed; the cumulative unloading times are determined in the following manner: acquire a truck number of each truck entering the initial dump area, a time length of each truck entering the initial dump area, and a running speed of each truck in the time length; calculate an average of the running speed of each truck; if the average is greater than a third speed, discard the truck number, the third speed being greater than the first speed and less than the second speed, and obtain a cumulative unloading number; generate a module for obtaining unloading point data sets of each truck in the initial dump area based on the running parameters of each truck, and for obtaining moving point data sets of each bulldozer in the initial dump area based on the running parameters of each bulldozer; update a module for obtaining an updated dump area based on the unloading point data sets of all trucks and the moving point data sets of all bulldozers, comprising: determine a latitude maximum point, a longitude maximum point, a latitude minimum point and a longitude minimum point in all the unloading point data sets and all the moving point data sets; connect the latitude maximum point, the longitude maximum point, the latitude minimum point and the longitude minimum point in sequence to form a closed area; enlarge the closed area by a preset multiple to obtain the updated dump area. 8.A machine readable storage medium having stored thereon instructions for causing a machine to perform the method for updating an open-pit mine dump area according to any one of claims 1-6.

9. A terminal device comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, characterized in that, The processor implements the steps of the method for updating an open-pit mine dump area according to any one of claims 1-6 when executing the computer program.

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