Unmanned loader dispatching system and method

Abstract

The invention discloses an unmanned loader scheduling system and method in the technical field of production resource scheduling, the unmanned loader scheduling system comprises a proportion management module and a task distribution module, the proportion management module is used for selecting a specified effective material proportion according to the production demand of a production scene; the task distribution module is used for selecting a target material storage pile according to the effective material ratio and material information pre-configured in the production scene, and driving a loader to take materials from the target material storage pile to execute a loading task; and the control module is used for selecting a target unloading bin according to the specified unloading mode and driving the loader to execute an unloading task on the unloading bin. The system is applied to an unmanned production scene, the proportion management module ensures that the material proportion is accurate in the production process, and the task distribution module can adjust a task execution strategy in real time in the operation process, so that the system can quickly respond to the change of a production environment or demand, and the continuity and stability of production are ensured.

Description

Technical Field

[0001] The present invention relates to the technical field of production resource scheduling, and in particular to an unmanned loader scheduling system and method. Background Art

[0002] The existing unmanned loader scheduling system has achieved automated operation to a certain extent. Through pre-set material ratios and fixed task sequences, it can perform loading and unloading tasks in production scenarios. However, such systems usually rely on static task allocation modes and lack the ability to adapt to dynamic changes in the production site. When the production environment or demand changes, it is difficult for the system to flexibly adjust the loader's task allocation and execution strategy, resulting in reduced production efficiency and insufficient resource utilization. In addition, the existing technology often lacks real-time data analysis and scheduling optimization functions, and cannot be dynamically adjusted according to the data in actual operations, making it difficult to continuously improve production efficiency and reduce costs. Summary of the invention

[0003] The purpose of the present invention is to overcome the deficiencies in the prior art and to provide an unmanned loader scheduling system and method, which can not only improve production efficiency and reduce costs, but also adapt to changes in production demand in the production environment and ensure the continuity and stability of production.

[0004] To achieve the above object, the present invention is implemented by the following technical solutions:

[0005] In a first aspect, the present invention provides an unmanned loader scheduling system, comprising:

[0006] Ratio management module: used to select the specified effective material ratio according to the production requirements of the production scenario;

[0007] Task allocation module: used to select the target material pile according to the effective material ratio and the material information pre-configured in the production scenario, and drive the loader to fetch materials from the target material pile to perform the loading task; and used to select the target unloading bin according to the specified unloading mode, and drive the loader to perform the unloading task on the unloading bin.

[0008] Furthermore, the task allocation module includes:

[0009] A material storage pile selection submodule is used to select a target material storage pile according to the effective material ratio and the material information preconfigured in the production scenario;

[0010] Unloading bin selection submodule: used to select the target unloading bin according to the specified unloading mode.

[0011] Furthermore, the unloading bin selection submodule is specifically used for:

[0012] In response to the designated unloading mode being a random mode, randomly selecting an unloading bin as a target unloading bin;

[0013] In response to the designated unloading mode being the closest mode, selecting the unloading bin closest to the current material storage pile as the target unloading bin;

[0014] In response to the designated unloading mode being the current least stored material bin mode, selecting the least stored material bin among all the unloading bins as the target unloading bin;

[0015] In response to the designated unloading mode being the comprehensive evaluation mode, selecting the unloading bin with the highest priority as the target unloading bin;

[0016] Among them, the priority of the unloading bin is obtained by weighted average calculation of the weights of the parameters of concern; the higher the weighted average score, the higher the priority of the corresponding unloading bin; the parameters of concern include the unloading bin capacity, loader transportation mileage and transportation efficiency.

[0017] Furthermore, it also includes a material management module;

[0018] The material management module includes:

[0019] Material configuration submodule: used to configure material information for the production scenario;

[0020] The material pile configuration submodule is used to configure the material name for each material pile in the production scenario, and to query the corresponding material pile according to the input material name.

[0021] Furthermore, it also includes a data statistics module: used to collect, organize and analyze relevant operating data of the loader when performing loading tasks and unloading tasks, so as to optimize subsequent scheduling.

[0022] Further, the task allocation module is configured with a manual mode and an automatic mode;

[0023] In manual mode, the task allocation module is used to allocate loading tasks or unloading tasks to the loader according to the tasks manually added by the user;

[0024] In the automatic mode, the task allocation module is used to cyclically allocate loading tasks and unloading tasks to the loader.

[0025] In a second aspect, the present invention provides an unmanned loader scheduling method, the method comprising executing a loading task, or executing an unloading task, or cyclically executing a loading task and an unloading task;

[0026] The executing loading task includes:

[0027] Select the specified effective material ratio according to the production requirements of the production scenario;

[0028] Selecting a target material pile according to the effective material ratio and the material information pre-configured in the production scenario, and driving a loader to fetch materials from the target material pile to perform a loading task;

[0029] The performing of the uninstallation task comprises:

[0030] The target unloading bin is selected according to the specified unloading mode, and the loader is driven to perform the unloading task on the unloading bin.

[0031] Further, selecting a target unloading bin according to a specified unloading mode includes:

[0032] In response to the designated unloading mode being a random mode, randomly selecting an unloading bin as a target unloading bin;

[0033] In response to the designated unloading mode being the closest mode, selecting the unloading bin closest to the current material storage pile as the target unloading bin;

[0034] In response to the designated unloading mode being the current least stored material bin mode, selecting the least stored material bin among all the unloading bins as the target unloading bin;

[0035] In response to the designated unloading mode being the comprehensive evaluation mode, selecting the unloading bin with the highest priority as the target unloading bin;

[0036] Among them, the priority of the unloading bin is obtained by weighted average calculation of the weights of the parameters of concern; the higher the weighted average score, the higher the priority of the corresponding unloading bin; the parameters of concern include the unloading bin capacity, loader transportation mileage and transportation efficiency.

[0037] Furthermore, the method also includes: collecting, organizing and analyzing relevant operating data of the loader when performing loading tasks and unloading tasks to optimize subsequent scheduling.

[0038] Furthermore, after selecting the target material pile according to the effective material ratio and the material information pre-configured in the production scenario, a loading chain task flow is generated according to the selected target material pile, and the loader is driven to pick up materials from each of the target material piles in sequence to perform the loading task according to the loading chain task flow.

[0039] Compared with the prior art, the present invention has at least the following beneficial effects:

[0040] 1. The unmanned loader scheduling system provided by the embodiment of the present invention includes a ratio management module and a task allocation module. The ratio management module can dynamically select the effective material ratio according to the production needs of the production scene, ensure the material ratio in the production process is accurate, ensure the final product quality, reduce material waste, and reduce costs; the task allocation module is used to allocate loading tasks and unloading tasks to the loader, so that the loader performs loading tasks according to the effective material ratio and performs unloading tasks according to the specified unloading mode, so that the loader can dynamically adapt to the production needs of the production scene, reduce dependence on manual labor, improve production efficiency, and ensure the continuity and stability of production.

[0041] 2. In the unmanned loader scheduling system and method provided by the embodiment of the present invention, the unloading mode includes a random mode, a shortest distance mode, a current storage bin mode with the least material, and a comprehensive evaluation mode. According to the actual production conditions, multiple factors affecting production, including the unloading bin capacity, the loader transportation mileage and the transportation efficiency, can be considered. According to production needs, the loading path can be dynamically adjusted, no-load operation can be reduced, the loading amount can be optimized, etc., thereby reducing energy consumption and equipment wear, further improving production efficiency, and ensuring the continuity and stability of production.

[0042] 3. The unmanned loader scheduling system and method provided by the present invention can be applied to harsh production environments such as high temperature and dust, thereby reducing the production risks brought by human operation and reducing the probability of production accidents; when applied to a mixing station, it can improve the production efficiency of the mixing station and reduce production costs. BRIEF DESCRIPTION OF THE DRAWINGS

[0043] Figure 1 This is a schematic diagram of the operation interface of the material configuration submodule provided in the first embodiment of the present invention;

[0044] Figure 2 This is a schematic diagram of the operation interface of the material storage pile configuration submodule provided in the first embodiment of the present invention;

[0045] Figure 3 This is a schematic diagram of the operation interface of the ratio management module provided in the first embodiment of the present invention;

[0046] Figure 4 This is a schematic diagram of the editing page for material ratios provided in the first embodiment of the present invention;

[0047] Figure 5 This is a flow chart of the task allocation module allocating storage and unloading tasks provided by the first embodiment of the present invention;

[0048] Figure 6 is a flow chart of a method for executing a material storage task provided in Embodiment 2 of the present invention;

[0049] Figure 7It is a flow chart of the method for performing the unloading task provided in the second embodiment of the present invention. DETAILED DESCRIPTION

[0050] The technical solution of the present invention is described in detail below through the accompanying drawings and specific embodiments. It should be understood that the embodiments of the present application and the specific features in the embodiments are detailed descriptions of the technical solution of the present application, rather than limitations on the technical solution of the present application. In the absence of conflict, the embodiments of the present application and the technical features in the embodiments can be combined with each other.

[0051] Embodiment 1:

[0052] This embodiment provides an unmanned loader scheduling system, including a ratio management module and a task allocation module.

[0053] The ratio management module is used to select a specified effective material ratio according to the needs of the production scenario.

[0054] During the actual production process, the system will analyze the materials required for production based on the production order or the current production task. For example, in an asphalt mixing plant, specific proportions of stone, mineral powder and asphalt are required; in a concrete mixing plant, different specifications of aggregate, sand, powder and cement are required. The proportion management module automatically matches the material proportion scheme that meets the production needs based on the pre-set proportion database. The same production demand may require different material proportions in different production stages. For example, the system may select "stone: mineral powder: asphalt = 3:1:1" in the early production stage, and may select "coarse aggregate: fine aggregate: sand: cement = 4:2:1:1" in the later production stage. Therefore, for the same production task, there can be multiple corresponding material proportion schemes, but only one proportion scheme can be enabled at the same time. Figure 3 Taking the operation interface of the proportion management module shown as an example, if the material proportion scheme of serial number 1 needs to be enabled at present, the status of the material proportion scheme of serial number 1 can be marked as "enabled". At this time, the material proportion corresponding to serial number 1 is the effective physical proportion, and the material proportions corresponding to serial numbers 2 and 3 should be placed in the "disabled" state. In the subsequent production stage, the status of the material proportion can be switched automatically or manually according to production needs.

[0055] The ratio management module can also dynamically adjust and optimize the ratio scheme according to the actual production progress and material consumption, including adding, deleting, checking and modifying the material ratio to ensure the continuity and stability of the production process. Figure 3, the user enters the ratio name in the search box and clicks the query button to query the existing material ratios in the system; click the Add button to enter the ratio name, materials involved in the ratio and material ratio to add a new material ratio; click the Delete button to delete the material ratio from the ratio database; click the Edit button to modify the defined material ratio. When modifying the material ratio plan, the ratio management module will jump to the following Figure 4 The operation interface shown, in which the user can modify the names of materials involved in the proportioning and the proportions of each material, etc.

[0056] When the material ratio is enabled to become the effective material ratio, the task allocation module will select the target stockpile according to the effective material ratio and the material information pre-configured in the production scenario, and drive the loader to fetch materials from the target stockpile to perform the loading task. For example, in an asphalt mixing plant, if the current effective material ratio is: "stone: mineral powder: asphalt = 3:1:1", the system will determine the stockpile corresponding to "stone bin", "mineral powder bin" and "asphalt bin" according to the correspondence between the pre-configured material names and stockpile, mark the determined stockpile as the target stockpile, and then fetch materials from each target stockpile according to the ratio requirements to achieve material loading. For example, if the effective material ratio is "stone: mineral powder: asphalt = 3:1:1", the loader can load from the stockpile corresponding to the stone 3 times, from the stockpile corresponding to the mineral powder once, and from the stockpile corresponding to the asphalt once. Of course, the optimal loading sequence can also be selected according to actual production conditions, operating efficiency or other factors to better adapt to the needs of different production scenarios and thus improve production efficiency.

[0057] As an embodiment of the present invention, the task allocation module may include a stockpile selection submodule. The stockpile selection submodule may be used to select a target stockpile according to the effective material ratio and the material information preconfigured in the production scenario. Figure 5 As shown, if the effective material ratio is "material #1: material #2: material #3 = 2:1:1", the stockpile selection submodule can match the corresponding stockpile numbers to stockpile #1, stockpile #2 and stockpile #3 respectively.

[0058] As an embodiment of the present invention, the task allocation module can generate a chain task sequence according to the effective material ratio, so that the loader goes to the designated target storage pile to perform the loading task according to the chain task sequence. Figure 5, when the effective material ratio is "Material #1: Material #2: Material #3 = 2:1:1", the chain task sequence can be described as "Stockpile #1-Stockpile #1-Stockpile #2-Stockpile #3", and the loading sequence executed by the loader also corresponds to "Stockpile #1-Stockpile #1-Stockpile #2-Stockpile #3". Optionally, the loader can also flexibly arrange the order of loading tasks according to the optimization strategy of the scheduling system, that is, swap the loading order of Stockpile #1, Stockpile #2 and Stockpile #3, instead of strictly following the order of material ratio.

[0059] The task allocation module is also used to select the target unloading bin according to the specified unloading mode, and drive the loader to perform the unloading task on the unloading bin. There can be many unloading modes. For example, in a concrete mixing plant, the system will select the "mixing bin" closest to the current loader as the target unloading bin to ensure that the loader unloads all materials to the correct location, save the loader's driving time and fuel consumption, and facilitate subsequent mixing operations. Once the target unloading bin is determined, the task allocation module will drive the unmanned loader to the target unloading bin and complete the unloading task according to the specified unloading mode. For example, the loader will gradually unload all loaded materials into the mixer or mixing bin in a predetermined order and proportion to ensure that the materials can be evenly mixed.

[0060] The task allocation module may further include a discharge bin selection submodule, and the discharge bin selection submodule is used to select a target discharge bin according to a specified discharge mode.

[0061] Continue to see Figure 5 In this embodiment, the unloading modes include a random mode, a shortest distance mode, a current minimum storage bin mode and a comprehensive evaluation mode. The various unloading modes are further explained below.

[0062] In response to the designated unloading mode being the random mode, the unloading bin selection submodule randomly selects an unloading bin as the target unloading bin. When the random mode is adopted, the material quantities of different unloading bins can be basically consistent after the loading and unloading tasks are executed for a period of time.

[0063] In response to the designated unloading mode being the closest distance mode, the unloading bin selection submodule selects the unloading bin closest to the current material storage pile as the target unloading bin; the closest distance mode can save energy to a certain extent.

[0064] In response to the designated unloading mode being the current least material storage bin mode, the unloading bin selection submodule selects the unloading bin with the least material storage among all unloading bins as the target unloading bin; the current least material storage bin mode can ensure that the material storage in each unloading bin tends to be consistent after the system starts running.

[0065] In response to the designated unloading mode being the comprehensive evaluation mode, the unloading bin selection submodule selects the unloading bin with the highest priority as the target unloading bin. The comprehensive evaluation mode can achieve high efficiency and balance in the overall transportation process.

[0066] For the comprehensive evaluation mode, the priority of the unloading bin can be obtained by performing a weighted average calculation on the parameters of concern. The higher the weighted average score, the higher the priority of the corresponding unloading bin. Optionally, the parameters of concern include the unloading bin capacity, loader transport mileage and transport efficiency. Of course, it can also be other parameters selected by the user that need to be paid attention to.

[0067] The following is a further explanation of how to determine the priority:

[0068] First, determine the parameters that need to be paid attention to and the relative importance of each parameter in the decision-making. Then, assign weights to each parameter according to its relative importance, and calculate the score of each unloading bin by weighted average method. The unloading bin with the highest score is the target unloading bin.

[0069] For the unloading bin capacity, a larger unloading bin capacity can hold more materials, thereby reducing the waiting time of the loader and the number of frequent switching of the unloading bin. Therefore, if avoiding frequent switching of the unloading bin is the main consideration, the weight of the unloading bin capacity should be increased.

[0070] For loader transport mileage, shorter transport mileage means less driving time and fuel consumption; therefore, if actual production needs prioritize completing tasks quickly and saving fuel, a higher weight should be given to loader transport mileage.

[0071] As for transportation efficiency, it can cover multiple factors, such as loader speed, route optimization, etc. Higher efficiency means faster material transportation and lower operating costs.

[0072] Taking the parameters of interest as unloading bin capacity, loader transport mileage and transport efficiency as an example, a comprehensive score is calculated for each unloading bin to represent its priority, and the formula is as follows:

[0073] Comprehensive score = ;

[0074] in represents the weight corresponding to the unloading bin capacity, The weight corresponding to the loader's transport mileage, Indicates the weight corresponding to the transportation efficiency, and the distance is used It is represented by, indicating that the shorter the distance, the higher the score. After calculating the comprehensive scores of all unloading bins, the unloading bin with the highest score is selected as the priority unloading target.

[0075] Furthermore, the unmanned loader dispatching system provided by the embodiment of the present invention may also include a material management module, and the material management module may further include a material configuration submodule and a material storage pile configuration submodule. The material configuration submodule may be used to configure material information for the production scene; the material storage pile configuration submodule may be used to configure a material name for each material storage pile in the production scene, and query the corresponding material storage pile according to the input material name.

[0076] The material configuration submodule supports adding, modifying, querying and deleting various materials. Figure 1 As shown, users can enter the material name in the search box and click the query button to query the existing materials in the system; click the Add button to enter the material name, material number and material description to add a piece of material information; click the Delete button to delete the material information from the database; click the Edit button to modify the existing material information, such as modifying the material name, material number, etc.

[0077] The stockpile configuration submodule can be used to configure the names of materials stored in different stockpiles. The stockpiles store materials of specified types, and the enabled stockpiles participate in production and transportation. Figure 2 As shown, the user can enter the stockpile name or material number in the search box, and click the query button to query the stockpile information corresponding to the stockpile name or the material number in the system; click the Add button to enter the stockpile name and material number to add a piece of stockpile information; click the Delete button to delete the stockpile information from the database; click the Edit button to modify the existing stockpile information, such as modifying the stockpile name, the material number corresponding to the stockpile, etc.

[0078] Furthermore, the unmanned loader scheduling system also includes a data statistics module, which is used to collect, organize and analyze relevant operating data of the loader when performing loading and unloading tasks to optimize subsequent scheduling.

[0079] The data statistics module integrates with the loader's sensors and equipment interfaces to collect various operating data of the loader in real time when performing loading and unloading tasks, such as position, speed, operation time, load volume, etc. The collected data is transmitted to the central control system through the wireless communication module and processed in the data statistics module. The module first cleans and formats the data, and then conducts in-depth analysis of real-time and historical data through analytical algorithms to identify operating modes, optimization opportunities, and generate detailed analysis reports. In addition, the data statistics module provides a visual interface to display the analysis results through charts and maps, etc., to help operators monitor the operating status of the loader in real time. Through a continuous self-learning mechanism, the data statistics module can continuously optimize the scheduling strategy, improve the operating efficiency of the loader, and provide data-based optimization suggestions for subsequent scheduling.

[0080] Furthermore, the task allocation module is configured with a manual mode and an automatic mode.

[0081] In manual mode, the task allocation module is used to allocate loading tasks or unloading tasks to the loader according to the tasks manually added by the user; in automatic mode, the task allocation module is used to cyclically allocate loading tasks and unloading tasks to the loader.

[0082] In actual production scenarios, manual mode allows users to manually add loading or unloading tasks according to specific needs. For example, in an asphalt mixing plant or concrete mixing plant, the operator can directly assign specific material loading or unloading tasks to the loader through the task allocation module according to changes in the production plan or the requirements of emergency tasks. This method provides a high degree of flexibility, allowing users to respond quickly in emergencies. In automatic mode, the system will automatically assign loading and unloading tasks to the loader cycle according to preset production needs and material ratios, that is, when the current execution task is a loading task, the next execution task is an unloading task, and when the current execution task is an unloading task, the next task is a loading task, thereby ensuring the continuity and efficiency of the production process. By continuously monitoring the production progress and equipment status, the automatic mode can automatically adjust the task sequence, optimize the loader's work efficiency, and reduce manual intervention. It is suitable for large-scale continuous production scenarios.

[0083] Embodiment 2:

[0084] This embodiment provides an unmanned loader scheduling method, which includes executing a loading task alone, or executing an unloading task alone, or executing a loading task and an unloading task cyclically.

[0085] For the independent execution of loading tasks or independent execution of unloading tasks, it can be a situation in which the user manually assigns the execution of tasks in manual mode or the user manually intervenes to stop the execution of tasks. For the cyclic execution of loading and unloading tasks, it means that when the current execution task is the loading task, the next execution task is the unloading task, and when the current execution task is the unloading task, the next task is the loading task. The cyclic execution of loading and unloading tasks can be realized in automatic mode, thereby ensuring the continuity and efficiency of the production process, reducing manual intervention, and is suitable for large-scale continuous production scenarios.

[0086] like Figure 6 FIG. 1 is a flow chart of a method for executing a loading task provided by an embodiment of the present invention, including:

[0087] Select the specified effective material ratio according to the production requirements of the production scenario;

[0088] A target material pile is selected according to the effective material ratio and the material information pre-configured in the production scenario, and a loader is driven to fetch materials from the target material pile to perform a loading task.

[0089] For the same production task, there can be multiple material ratio schemes, but only one ratio scheme can be enabled at the same time.

[0090] For example, in an asphalt mixing plant, if the current effective material ratio is: "stone: mineral powder: asphalt = 3:1:1", the system will determine the storage piles corresponding to the "stone bin", "mineral powder bin" and "asphalt bin" according to the correspondence between the pre-configured material name (or material number) and the storage pile, mark the determined storage piles as target storage piles, and then fetch materials from each target storage pile according to the ratio requirements to achieve material loading. For example, if the effective material ratio is "stone: mineral powder: asphalt = 3:1:1", the loader can load from the storage pile corresponding to the stone 3 times, from the storage pile corresponding to the mineral powder once, and then from the storage pile corresponding to the asphalt once. Of course, the optimal loading order can also be selected according to actual production conditions, operating efficiency or other factors to better adapt to different production scenario requirements and improve production efficiency.

[0091] like Figure 7 FIG. 1 is a flow chart of a method for performing an uninstallation task provided by an embodiment of the present invention, including:

[0092] The target unloading bin is selected according to the specified unloading mode, and the loader is driven to perform the unloading task on the unloading bin.

[0093] In this embodiment, the unloading modes include a random mode, a shortest distance mode, a current minimum storage bin mode and a comprehensive evaluation mode. The various unloading modes are further explained below.

[0094] In response to the designated unloading mode being the random mode, the unloading bin selection submodule randomly selects an unloading bin as the target unloading bin. When the random mode is adopted, the material quantities of different unloading bins can be basically consistent after the loading and unloading tasks are executed for a period of time.

[0095] In response to the designated unloading mode being the closest distance mode, the unloading bin selection submodule selects the unloading bin closest to the current material storage pile as the target unloading bin; the closest distance mode can save energy to a certain extent.

[0096] In response to the designated unloading mode being the current least material storage bin mode, the unloading bin selection submodule selects the unloading bin with the least material storage among all unloading bins as the target unloading bin; the current least material storage bin mode can ensure that the material storage in each unloading bin tends to be consistent after the system starts running.

[0097] In response to the designated unloading mode being the comprehensive evaluation mode, the unloading bin selection submodule selects the unloading bin with the highest priority as the target unloading bin. The comprehensive evaluation mode can achieve high efficiency and balance in the overall transportation process.

[0098] For the comprehensive evaluation mode, the priority of the unloading bin can be obtained by performing a weighted average calculation on the parameters of concern. The higher the weighted average score, the higher the priority of the corresponding unloading bin. Optionally, the parameters of concern include the unloading bin capacity, loader transport mileage and transport efficiency. Of course, it can also be other parameters selected by the user that need to be paid attention to.

[0099] The following is a further explanation of how to determine the priority:

[0100] First, determine the parameters that need to be paid attention to and the relative importance of each parameter in the decision-making. Then, assign weights to each parameter according to its relative importance, and calculate the score of each unloading bin by weighted average method. The unloading bin with the highest score is the target unloading bin.

[0101] For the unloading bin capacity, a larger unloading bin capacity can hold more materials, thereby reducing the waiting time of the loader and the number of frequent switching of the unloading bin. Therefore, if avoiding frequent switching of the unloading bin is the main consideration, the weight of the unloading bin capacity should be increased.

[0102] For loader transport mileage, shorter transport mileage means less driving time and fuel consumption; therefore, if actual production needs prioritize completing tasks quickly and saving fuel, a higher weight should be given to loader transport mileage.

[0103] As for transportation efficiency, it can cover multiple factors, such as loader speed, route optimization, etc. Higher efficiency means faster material transportation and lower operating costs.

[0104] Taking the parameters of interest as unloading bin capacity, loader transport mileage and transport efficiency as an example, a comprehensive score is calculated for each unloading bin to represent its priority, and the formula is as follows:

[0105] Comprehensive score = ;

[0106] in represents the weight corresponding to the unloading bin capacity, The weight corresponding to the loader's transport mileage, Indicates the weight corresponding to the transportation efficiency, and the distance is used It is represented by, indicating that the shorter the distance, the higher the score. After calculating the comprehensive scores of all unloading bins, the unloading bin with the highest score is selected as the priority unloading target.

[0107] The unmanned loader scheduling method provided in the embodiment of the present invention can be implemented based on the unmanned loader scheduling system provided in the first embodiment. Under the premise of no conflict, for the detailed operation steps of each step not recorded in this embodiment, reference can be made to the first embodiment. Since the method provided in this embodiment and the system provided in the first embodiment are based on the same technical concept, the method provided in this embodiment can basically achieve the same technical effect as the system provided in the first embodiment.

[0108] Embodiment three:

[0109] An embodiment of the present invention provides a mixing station, which can be configured with an unmanned loader scheduling system as described in the first embodiment, which can improve the production efficiency of the mixing station and reduce the production cost.

[0110] The above is only a preferred embodiment of the present invention. It should be pointed out that for ordinary technicians in this technical field, several improvements and modifications can be made without departing from the technical principles of the present invention. These improvements and modifications should also be regarded as the scope of protection of the present invention.

Claims

1. An unmanned loader dispatching system, characterized in that: include: Ratio management module: used to select the specified effective material ratio according to the production requirements of the production scenario; Task allocation module: used to select the target material pile according to the effective material ratio and the material information pre-configured in the production scenario, and drive the loader to fetch materials from the target material pile to perform the loading task; and used to select the target unloading bin according to the specified unloading mode, and drive the loader to perform the unloading task on the unloading bin.

2. The unmanned loader dispatching system according to claim 1, characterized in that: The task allocation module includes: A material storage pile selection submodule is used to select a target material storage pile according to the effective material ratio and the material information preconfigured in the production scenario; Unloading bin selection submodule: used to select the target unloading bin according to the specified unloading mode.

3. The unmanned loader dispatching system according to claim 2, characterized in that: The unloading bin selection submodule is specifically used for: In response to the designated unloading mode being a random mode, randomly selecting an unloading bin as a target unloading bin; In response to the designated unloading mode being the closest mode, selecting the unloading bin closest to the current material storage pile as the target unloading bin; In response to the designated unloading mode being the current least stored material bin mode, selecting the least stored material bin among all the unloading bins as the target unloading bin; In response to the designated unloading mode being the comprehensive evaluation mode, selecting the unloading bin with the highest priority as the target unloading bin; Among them, the priority of the unloading bin is obtained by weighted average calculation of the weights of the parameters of concern; the higher the weighted average score, the higher the priority of the corresponding unloading bin; the parameters of concern include the unloading bin capacity, loader transportation mileage and transportation efficiency.

4. The unmanned loader dispatching system according to any one of claims 1 to 3, characterized in that: Also includes materials management module; The material management module includes: Material configuration submodule: used to configure material information for the production scenario; The material pile configuration submodule is used to configure the material name for each material pile in the production scenario, and to query the corresponding material pile according to the input material name.

5. The unmanned loader dispatching system according to claim 1, characterized in that: It also includes a data statistics module: used to collect, organize and analyze relevant operating data of the loader when performing loading and unloading tasks to optimize subsequent scheduling.

6. The unmanned loader dispatching system according to claim 1, characterized in that: The task allocation module is configured with a manual mode and an automatic mode; In manual mode, the task allocation module is used to allocate loading tasks or unloading tasks to the loader according to the tasks manually added by the user; In the automatic mode, the task allocation module is used to cyclically allocate loading tasks and unloading tasks to the loader.

7. A method for dispatching an unmanned loader, characterized in that: The method includes executing a loading task, or executing an unloading task, or cyclically executing the loading task and the unloading task; Executing the loading task includes: Select the specified effective material ratio according to the production requirements of the production scenario; Selecting a target material pile according to the effective material ratio and the material information pre-configured in the production scenario, and driving a loader to fetch materials from the target material pile to perform a loading task; Executing the uninstallation task includes: The target unloading bin is selected according to the specified unloading mode, and the loader is driven to perform the unloading task on the unloading bin.

8. The unmanned loader dispatching method according to claim 7, characterized in that: The step of selecting a target unloading bin according to a specified unloading mode includes: In response to the designated unloading mode being a random mode, randomly selecting an unloading bin as a target unloading bin; In response to the designated unloading mode being the closest mode, selecting the unloading bin closest to the current material storage pile as the target unloading bin; In response to the designated unloading mode being the current least stored material bin mode, selecting the least stored material bin among all the unloading bins as the target unloading bin; In response to the designated unloading mode being the comprehensive evaluation mode, selecting the unloading bin with the highest priority as the target unloading bin; Among them, the priority of the unloading bin is obtained by weighted average calculation of the weights of the parameters of concern; the higher the weighted average score, the higher the priority of the corresponding unloading bin; the parameters of concern include the unloading bin capacity, loader transportation mileage and transportation efficiency.

9. The unmanned loader dispatching method according to claim 7 or 8, characterized in that: The method also includes: collecting, collating and analyzing relevant operation data of the loader when performing loading tasks and unloading tasks to optimize subsequent scheduling.

10. The unmanned loader dispatching method according to claim 7, characterized in that: After selecting the target material pile according to the effective material ratio and the pre-configured material information of the production scenario, a loading chain task flow is generated according to the selected target material pile, and the loader is driven to sequentially fetch materials from each of the target material piles to perform the loading task according to the loading chain task flow.

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