Feeding device and method for water conservancy and hydropower construction
By designing a feeding device and method that integrates data acquisition, scheduling, execution, detection and optimization, the problem that the feeding device in the prior art cannot automatically adapt to on-site conditions and construction needs, and the efficient, orderly and automated scheduling of the feeding process is achieved.
Patent Information
- Application Number
- CN202411325258.9
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2024-09-23
- Publication Date
- 2025-02-28
AI Technical Summary
The existing material supply control methods for water conservancy and hydropower construction cannot be automated and adaptable according to on-site conditions and construction needs, resulting in a decrease in supply efficiency.
A feeding device and method for water conservancy and hydropower construction is designed, including a data acquisition unit, a feeding device scheduling unit, a feeding task execution unit, a feeding task detection unit, and a feeding scheduling optimization unit. By obtaining and analyzing the operating data and task information of the feeding device in real time, dynamically adjusting the scheduling strategy, optimizing the scheduling model, and generating optimized scheduling task commands.
The automatic scheduling and task allocation of the feeding device are realized, which reduces human operation errors and delays, improves supply efficiency, and makes the feeding process more orderly and efficient.
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Figure CN119539312A_ABST
Abstract
Description
Technical Field
[0001] The invention relates to the technical field of hydropower construction, and in particular to a material feeding device and method for water conservancy and hydropower construction. Background Art
[0002] The materials used in water conservancy and hydropower construction cover many aspects, including pipeline materials, valves, electrical equipment, construction machinery and other construction materials. In order to ensure the safety and stability of water conservancy and hydropower projects, various electrical equipment such as transformers, generator sets, cables, cable trays, etc. need to be configured. The selection of these electrical equipment needs to consider factors such as safety, reliability, and performance stability.
[0003] The feeding devices used in water conservancy and hydropower construction mainly include the following types: feeding devices with buffering functions, concrete feeding devices and mobile feeding devices. According to the specific needs of the construction site, the height of the support rod and telescopic rod of the mobile feeding device is adjusted to meet the feeding needs of different heights. The pressure adjustment mechanism is used to accurately adjust the position of the telescopic rod of the mobile feeding device through the interaction of the pressure rod and the toggle block, thereby ensuring the stability and flexibility of the feeding device. According to the ground conditions and the degree of shaking in the construction environment, the spring tightness and the position of the slider of the feeding device with buffering function are adjusted to achieve the best buffering effect. According to the proportion and viscosity of the concrete, the speed of the mixing motor of the concrete feeding device and the movement mode of the mixing paddle are adjusted so that the concrete can be evenly mixed and smoothly discharged for water conservancy and hydropower construction.
[0004] Due to the complexity and diversity of the water conservancy and hydropower construction environment, the control and adjustment methods of specific feeding devices for water conservancy and hydropower construction vary according to the actual application scenarios. In actual operation, they should be adjusted and optimized according to site conditions and construction requirements. The existing feeding control methods for water conservancy and hydropower construction cannot be automatically and adaptively adjusted according to site conditions and construction requirements, resulting in a decrease in the supply efficiency of feeding devices for water conservancy and hydropower construction. Summary of the invention
[0005] In view of the shortcomings of the prior art, the present invention provides a material feeding device and method for water conservancy and hydropower construction, which solves the problem that the existing material feeding control method for water conservancy and hydropower construction cannot be automatically adaptively adjusted according to site conditions and construction requirements, resulting in a decrease in the supply efficiency of the material feeding device for water conservancy and hydropower construction.
[0006] In order to solve the above technical problems, the specific technical solutions of the present invention are as follows:
[0007] In a first aspect, the present invention provides a material feeding device and method for water conservancy and hydropower construction, comprising:
[0008] Data acquisition unit: used to acquire the operation data of the material feeding device for water conservancy and hydropower construction and the material feeding tasks for water conservancy and hydropower construction. The operation data of the material feeding device for water conservancy and hydropower construction includes the operation data of the mobile material feeding device, the operation data of the buffer device and the operation data of the concrete material feeding device. The material feeding tasks for water conservancy and hydropower construction include the material demand tasks, the material transportation tasks, the material allocation tasks, the material use monitoring tasks and the material replenishment tasks;
[0009] A feeding device scheduling unit is used to substitute the operation data of the feeding device for water conservancy and hydropower construction and the feeding task for water conservancy and hydropower construction into a preset feeding device scheduling model to generate a feeding device scheduling task command, wherein the feeding device scheduling task command includes a task number, a task corresponding device, a device scheduling process and an expected result of the scheduling task;
[0010] Feeding task execution unit: according to the device scheduling process and the task corresponding device in the feeding device scheduling task command, generates the corresponding mobile feeding device operation task, buffer device operation task and concrete feeding device operation task in the device scheduling process, sends the mobile feeding device operation task, buffer device operation task and concrete feeding device operation task to the corresponding device, and obtains the device execution task feedback data;
[0011] Feeding task detection unit: compares the feedback data of the device execution task with the expected result of the scheduling task to obtain the scheduling task comparison result, and generates the feeding task detection result according to the task comparison result. The feeding task detection result includes the mobile feeding device operation task detection result, the buffer device operation task detection result and the concrete feeding device operation task detection result;
[0012] Feeding scheduling optimization unit: cluster analysis is performed on the mobile feeding device operation task detection results, the buffer device operation task detection results and the concrete feeding device operation task detection results to obtain the feeding task detection data clustering results, and the corresponding model data processing space to be optimized is established according to the feeding task detection data clustering results, and the data corresponding to the feeding task detection data clustering results are stored in sequence in the model data processing space to be optimized, and the feeding device scheduling model is optimized in the model data processing space to be optimized to obtain an optimized feeding device scheduling model library, and retrieval matching information is established for each optimized feeding device scheduling model in the optimized feeding device scheduling model library, and the operation data of the feeding device for real-time water conservancy and hydropower construction and the real-time water conservancy and hydropower construction feeding tasks are matched with the retrieval matching information, and data processing is performed according to the optimized feeding device scheduling model obtained by matching to obtain an optimized feeding device scheduling task command.
[0013] Furthermore, in the material feeding device for water conservancy and hydropower construction of the present invention, the data acquisition unit is also used for:
[0014] Retrieving historical operation data of the material feeding device for water conservancy and hydropower construction and historical material feeding tasks for water conservancy and hydropower construction, matching the historical material feeding tasks for water conservancy and hydropower construction with the historical operation data of the material feeding device for water conservancy and hydropower construction, and obtaining operation data corresponding to the historical material feeding tasks for water conservancy and hydropower construction;
[0015] The historical material feeding tasks for executing water conservancy and hydropower construction are split into tasks to obtain material feeding tasks corresponding to the mobile material feeding device, the buffer device and the concrete material feeding device;
[0016] Performing data analysis on the historical operation data corresponding to the feeding tasks performed by the mobile feeding device, the historical operation data corresponding to the feeding tasks performed by the buffer device, and the historical operation data corresponding to the feeding tasks performed by the concrete feeding device, to obtain the statistical results of the mobile feeding device operation data, the statistical results of the buffer device operation data, and the statistical results of the concrete feeding device operation data;
[0017] The operating data of the feeding device for water conservancy and hydropower construction and abnormal data in the feeding tasks for water conservancy and hydropower construction are screened out according to the statistical results of the operating data of the mobile feeding device, the buffer device and the concrete feeding device, and simulated filling data are generated according to the statistical results of the operating data of the mobile feeding device, the buffer device and the concrete feeding device to replace the erroneous data, so as to obtain the corrected operating data of the feeding device for water conservancy and hydropower construction.
[0018] Furthermore, the feeding device for water conservancy and hydropower construction of the present invention, the feeding device scheduling unit comprises:
[0019] The task number is the number of each scheduled task, which is used to track the scheduled tasks and manage the execution of the scheduled tasks;
[0020] The task corresponding device refers to the device corresponding to each scheduling task, so that the scheduling task is assigned to the corresponding device;
[0021] The device scheduling process is the steps of the mobile feeding device, the buffer device and the concrete feeding device when performing the scheduling task;
[0022] The expected result of a scheduling task is the expected goal that should be achieved after the scheduling task is executed.
[0023] Furthermore, the feeding device for water conservancy and hydropower construction of the present invention, the feeding task execution unit comprises:
[0024] Mobile feeding device unit: According to the feeding task for water conservancy and hydropower construction, the height of the support rod and the telescopic rod of the mobile feeding device is adjusted, and the data of the height adjustment of the support rod and the telescopic rod of the mobile feeding device is collected to obtain real-time feedback data of the adjustment of the mobile feeding device.
[0025] Furthermore, the feeding device for water conservancy and hydropower construction of the present invention, the feeding task execution unit comprises:
[0026] Buffer device unit: used to collect geological conditions of water conservancy and hydropower construction and the degree of shaking of the water conservancy and hydropower construction environment, and adjust the tightness of the spring and the position of the slider according to the scheduling task command of the feeding device, and collect the tightness of the spring and the position of the slider after the buffer device is adjusted to obtain real-time feedback data on the adjustment of the buffer device.
[0027] Furthermore, the feeding device for water conservancy and hydropower construction of the present invention, the feeding task execution unit comprises:
[0028] Concrete feeding device unit: Determine the proportion and viscosity of concrete for water conservancy and hydropower construction according to the feeding task for water conservancy and hydropower construction, adjust the speed of the mixing motor of the concrete feeding device and the movement mode of the mixing paddle of the concrete feeding device according to the proportion and viscosity of concrete for water conservancy and hydropower construction, and generate real-time operation data of the concrete feeding device.
[0029] Furthermore, in the material feeding device for water conservancy and hydropower construction of the present invention, the material feeding task detection unit is also used for:
[0030] Extracting the expected result of the scheduling task from the scheduling task command of the feeding device, the expected result of the scheduling task includes the expected completion time, the expected material processing efficiency, and the expected equipment operation status;
[0031] The mobile feeding device operation task detection results, the buffer device operation task detection results and the concrete feeding device operation task detection results are compared and analyzed with the expected results of the scheduling task to compare whether the material processing volume meets the standards and whether there are any faults in the operating status, and the scheduling task comparison results are obtained. The scheduling task comparison results include time delays, material shortages or surpluses, and equipment failures.
[0032] Furthermore, the feeder device for water conservancy and hydropower construction of the present invention, the feeder scheduling optimization unit is also used for:
[0033] Obtain the operation task detection results of the mobile feeding device, buffer device, and concrete feeding device from the feeding task detection unit, and extract the task completion time characteristics, material processing volume characteristics, and equipment operation status characteristics;
[0034] Apply clustering algorithm to perform cluster analysis on task completion time characteristics, material handling volume characteristics, and equipment operation status characteristics to obtain cluster analysis results, and establish a corresponding model data processing space to be optimized for each category in the cluster analysis results;
[0035] The data of each cluster is stored in the corresponding data processing space of the model to be optimized, and the feeding device scheduling model is optimized using the stored data in the data processing space of the model to be optimized.
[0036] Furthermore, the feeder device for water conservancy and hydropower construction of the present invention, the feeder scheduling optimization unit is also used for:
[0037] Arrange the data clustering results generated by the feeding task detection unit, the data clustering results including the operation task detection results of the mobile feeding device, the buffer device and the concrete feeding device;
[0038] Classify the data according to the clustering results to obtain normal data, abnormal data, and low efficiency data, and store them in the established data processing space of the model to be optimized:
[0039] In the data processing space, the stored data is deeply analyzed to identify the operation data of the feeding device, the scheduling data of the feeding task, and the feedback data after the task is executed. The scheduling model of the feeding device is optimized to generate an optimized model library, and the optimized scheduling model of the feeding device is saved in the model library.
[0040] When receiving new operation data and feeding tasks of feeding devices for water conservancy and hydropower construction, the corresponding optimization model is quickly retrieved from the model library to obtain the model retrieval matching results;
[0041] According to the model retrieval matching results, the matching scheduling model is selected to process the data, and the optimized feeding device scheduling instructions are generated.
[0042] In a second aspect, the present invention provides a material feeding method for water conservancy and hydropower construction, which is applied to the material feeding device for water conservancy and hydropower construction as described above, comprising:
[0043] Step S101, obtaining operation data of a material feeding device for water conservancy and hydropower construction and material feeding tasks for water conservancy and hydropower construction, wherein the operation data of a material feeding device for water conservancy and hydropower construction includes operation data of a mobile material feeding device, operation data of a buffer device and operation data of a concrete material feeding device, and the material feeding tasks for water conservancy and hydropower construction include material demand tasks, material transportation tasks, material allocation tasks, material use monitoring tasks and material replenishment tasks;
[0044] Step S102, substituting the operation data of the material feeding device for water conservancy and hydropower construction and the material feeding task for water conservancy and hydropower construction into a preset material feeding device scheduling model, generating a material feeding device scheduling task command, the material feeding device scheduling task command including a task number, a task corresponding device, a device scheduling process and an expected result of the scheduling task;
[0045] Step S103, according to the device scheduling process and the device corresponding to the task in the feeding device scheduling task command, the corresponding mobile feeding device operation task, buffer device operation task and concrete feeding device operation task in the device scheduling process are generated, and the mobile feeding device operation task, buffer device operation task and concrete feeding device operation task are sent to the corresponding device to obtain the device execution task feedback data;
[0046] Step S104, comparing the feedback data of the device execution task with the expected result of the scheduling task to obtain the scheduling task comparison result, and generating the feeding task detection result according to the task comparison result, the feeding task detection result includes the mobile feeding device operation task detection result, the buffer device operation task detection result and the concrete feeding device operation task detection result;
[0047] Step S105, cluster analysis is performed on the mobile feeding device operation task detection results, the buffer device operation task detection results and the concrete feeding device operation task detection results to obtain the feeding task detection data clustering results, and a corresponding data processing space for the model to be optimized is established according to the feeding task detection data clustering results, and the data corresponding to the feeding task detection data clustering results are sequentially stored in the model data processing space to be optimized, and the feeding device scheduling model is optimized in the model data processing space to be optimized to obtain an optimized feeding device scheduling model library, and retrieval matching information is established for each optimized feeding device scheduling model in the optimized feeding device scheduling model library, and the operation data of the feeding device for real-time water conservancy and hydropower construction and the real-time water conservancy and hydropower construction feeding tasks obtained are matched with the retrieval matching information, and data processing is performed according to the optimized feeding device scheduling model obtained by matching to obtain an optimized feeding device scheduling task command.
[0048] The beneficial effects of the present invention are mainly reflected in the following aspects:
[0049] Firstly, the present invention reduces the errors and delays of human operation through automated scheduling and task allocation, improves the supply efficiency of the feeding device, and makes the feeding process more orderly and efficient.
[0050] Secondly, the present invention can dynamically adjust the scheduling strategy according to site conditions and construction requirements, thereby enhancing the adaptability and flexibility of the feeding device.
[0051] In addition, through comprehensive data acquisition and preprocessing, as well as real-time task execution feedback, the present invention improves the accuracy of data processing and analysis. At the same time, the feed scheduling optimization unit can use the stored data to continuously optimize the scheduling model, which improves the prediction accuracy and efficiency of the scheduling model.
[0052] In addition, by comparing the feedback data of the device executing the task with the expected result of the scheduling task, the present invention can timely discover problems in the task execution, such as time delays, material shortages or surpluses, equipment failures, etc., thereby improving the fault detection capability.
[0053] For new feeding device operation data and feeding tasks, the present invention can quickly retrieve a matching scheduling model from the optimized model library and quickly generate an optimized scheduling task command, which speeds up the response speed of new tasks.
[0054] Finally, through the coordinated work of multiple units, the present invention achieves an overall performance improvement of the feeding device, significantly improves the supply efficiency, adaptability and data processing capabilities of the feeding device used in water conservancy and hydropower construction, and provides a strong guarantee for water conservancy and hydropower construction. BRIEF DESCRIPTION OF THE DRAWINGS
[0055] In order to more clearly illustrate the technical solution of the present invention, the following briefly introduces the drawings required for use in the embodiments. Obviously, for ordinary technicians in this field, other drawings can be obtained based on these drawings without creative work.
[0056] Figure 1 A schematic diagram of a control system corresponding to the water conservancy and hydropower construction device provided in an embodiment of the present invention.
[0057] Figure 2 A schematic diagram of a material feeding method for water conservancy and hydropower construction provided in an embodiment of the present invention. DETAILED DESCRIPTION
[0058] In order to make the purpose, technical solution and advantages of the present invention clearer, the technical solution of the present invention will be clearly and completely described in conjunction with the specific embodiments of the present invention and the corresponding drawings. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention. The technical solutions provided by the embodiments of the present invention are described in detail below in conjunction with the drawings.
[0059] In order to better understand the purpose of the present invention, the present invention is described in further detail below.
[0060] First, see Figure 1The present invention provides a feeding device and method for water conservancy and hydropower construction: comprising:
[0061] Data acquisition unit: used to acquire the operation data of the material feeding device for water conservancy and hydropower construction and the material feeding tasks for water conservancy and hydropower construction. The operation data of the material feeding device for water conservancy and hydropower construction includes the operation data of the mobile material feeding device, the operation data of the buffer device and the operation data of the concrete material feeding device. The material feeding tasks for water conservancy and hydropower construction include the material demand tasks, the material transportation tasks, the material allocation tasks, the material use monitoring tasks and the material replenishment tasks;
[0062] Mobile feeding device operation data: including various parameters and status information of the device during operation, which is used to evaluate the current operating status of the device.
[0063] Buffer device operation data: Data generated during the operation of the buffer device, such as spring tightness, slider position, etc., are used to understand the buffer effect.
[0064] Concrete feeding device operation data: data such as motor speed and stirring paddle movement during concrete mixing, which are used to monitor concrete quality and production efficiency.
[0065] The material supply tasks for water conservancy and hydropower construction specifically include:
[0066] Material requirement tasks: The types and quantities of materials required are determined according to the construction plan.
[0067] Material transportation task: Task information for transporting materials from storage locations to construction sites.
[0068] Material distribution task: Specific requirements for allocating materials to different work areas or construction teams at the construction site.
[0069] Material usage monitoring task: Real-time monitoring of material usage to ensure rational use of materials and avoid waste.
[0070] Material replenishment tasks: Plan and arrange for timely replenishment of materials based on material consumption.
[0071] In summary, the data acquisition unit provides a solid foundation for the efficient and stable operation of the feeding device by comprehensively collecting these key data and task information. By acquiring and analyzing data in real time, potential problems can be discovered in a timely manner and optimized and adjusted, thereby improving the efficiency and quality of the entire construction process.
[0072] A feeding device scheduling unit is used to substitute the operation data of the feeding device for water conservancy and hydropower construction and the feeding task for water conservancy and hydropower construction into a preset feeding device scheduling model to generate a feeding device scheduling task command, wherein the feeding device scheduling task command includes a task number, a task corresponding device, a device scheduling process and an expected result of the scheduling task;
[0073] The feeding device scheduling unit is responsible for substituting the acquired operation data of the feeding device for water conservancy and hydropower construction and the feeding tasks for water conservancy and hydropower construction into the preset feeding device scheduling model. The operation data of the feeding device for water conservancy and hydropower construction includes the operation data of the mobile feeding device, buffer device and concrete feeding device, while the feeding tasks cover various links such as material demand, transportation, distribution, use and replenishment.
[0074] Generate scheduling task commands: Based on the results calculated by the preset feeding device scheduling model, the scheduling unit can generate the feeding device scheduling task commands. These commands have clear guiding significance, so that the feeding process can be carried out in an orderly and efficient manner.
[0075] Task number: Each scheduled task is assigned a unique number to track the execution of the task and manage the scheduling process.
[0076] Task corresponding device: clearly indicate in the command which specific feeding device or devices should be used to perform the task, to ensure that the task can be assigned to the correct device.
[0077] Device scheduling process: List in detail the specific steps and operation sequence of the mobile feeding device, buffer device and concrete feeding device when performing the scheduling task.
[0078] Expected results of scheduling tasks: define the expected goals that should be achieved after the task is executed, including requirements in terms of completion time, material handling efficiency, equipment operating status, etc.
[0079] Through automated scheduling and task allocation, human errors and delays are reduced, and the overall operating efficiency of the feeding device is improved. The scheduling strategy can be dynamically adjusted based on real-time and historical data to adapt to different construction environments and demand changes. Task numbers and detailed scheduling processes provide reliable data support for task execution and subsequent optimization.
[0080] In summary, the feeding device scheduling unit generates feasible scheduling task commands through efficient data processing and model calculation capabilities, so that the feeding process for water conservancy and hydropower construction can proceed smoothly.
[0081] Feeding task execution unit: according to the device scheduling process and the task corresponding device in the feeding device scheduling task command, generates the corresponding mobile feeding device operation task, buffer device operation task and concrete feeding device operation task in the device scheduling process, sends the mobile feeding device operation task, buffer device operation task and concrete feeding device operation task to the corresponding device, and obtains the device execution task feedback data;
[0082] The main functions and operation process of the feeding task execution unit in the entire feeding device and method are as follows:
[0083] The feeding task execution unit is responsible for executing the operation tasks of each feeding device (mobile feeding device, buffer device, concrete feeding device) according to the scheduling task command generated by the feeding device scheduling unit, and ensuring that the tasks can be executed accurately.
[0084] Parsing the scheduling task command: The feeding task execution unit first parses the scheduling task command received from the feeding device scheduling unit. The scheduling task command includes key information such as the task number, the device corresponding to the task, the device scheduling process, and the expected result of the scheduling task.
[0085] Generate and execute operation tasks: Generate specific operation tasks according to the device scheduling process in the scheduling task command and the device corresponding to the task. Specific operation tasks are respectively for the mobile feeding device, buffer device and concrete feeding device. The generated operation tasks are sent to the corresponding devices for execution, such as adjusting the height of the support rod and telescopic rod of the mobile feeding device, adjusting the spring tightness and slider position of the buffer device, or setting the stirring motor speed and stirring paddle movement mode of the concrete feeding device.
[0086] Collecting feedback data from device execution tasks: During the execution of tasks, the feeding task execution unit collects feedback data from each device in real time. The feedback data includes but is not limited to the height adjustment results of the mobile feeding device, the spring tightness of the buffer device and the slider position adjustment results, the mixing state and operating parameters of the concrete feeding device, etc.
[0087] Task generation and distribution: Generate and distribute specific operation tasks to each feeding device according to the scheduling task command.
[0088] Real-time feedback collection: Collect feedback data in real time during task execution for subsequent analysis and optimization.
[0089] Key devices include: mobile feeding device, buffer device, concrete feeding device and other main feeding equipment.
[0090] Through these steps, the feeding task execution unit enables the feeding device to perform tasks efficiently and accurately according to the scheduling task commands, providing a guarantee for the smooth progress of the entire feeding process.
[0091] Feeding task detection unit: compares the feedback data of the device execution task with the expected result of the scheduling task to obtain the scheduling task comparison result, and generates the feeding task detection result according to the task comparison result. The feeding task detection result includes the mobile feeding device operation task detection result, the buffer device operation task detection result and the concrete feeding device operation task detection result;
[0092] The main function of the feeding task detection unit is to compare and analyze the feedback data of the device execution task with the expected results of the scheduling task, so as to generate the feeding task detection results. Specifically, it includes the following steps and results:
[0093] Comparison of feedback data with expected results: The feeding task detection unit receives the device execution task feedback data from the feeding task execution unit and compares this data with the expected results of the scheduling task. The expected results include the expected completion time, expected material handling efficiency, and expected equipment operating status.
[0094] Generate scheduling task comparison results: Through comparative analysis, the detection unit identifies differences in task execution, including whether there is a time delay, whether there is a shortage or surplus of materials, whether there is a failure in equipment, etc. The comparison results constitute the scheduling task comparison results.
[0095] Generate feeding task detection results: Based on the scheduling task comparison results, the feeding task detection unit further generates detailed feeding task detection results. The feeding task detection results are specifically divided into mobile feeding device operation task detection results, buffer device operation task detection results and concrete feeding device operation task detection results.
[0096] Mobile feeding device operation task detection results: Based on the real-time feedback data of the mobile feeding device during the execution of the task, its operation status and task completion status are analyzed.
[0097] Buffer device operation task detection results: Check the buffer effect and operation status of the buffer device based on the real-time feedback data during the task execution.
[0098] Concrete feeding device operation task detection results: Based on the real-time feedback data of the concrete feeding device during the execution of the task, its concrete mix ratio, viscosity and equipment operation status are evaluated.
[0099] The feeding task detection unit can promptly discover problems in task execution and provide data support for subsequent scheduling optimization.
[0100] Feeding scheduling optimization unit: cluster analysis is performed on the mobile feeding device operation task detection results, the buffer device operation task detection results and the concrete feeding device operation task detection results to obtain the feeding task detection data clustering results, and the corresponding model data processing space to be optimized is established according to the feeding task detection data clustering results, and the data corresponding to the feeding task detection data clustering results are stored in sequence in the model data processing space to be optimized, and the feeding device scheduling model is optimized in the model data processing space to be optimized to obtain an optimized feeding device scheduling model library, and retrieval matching information is established for each optimized feeding device scheduling model in the optimized feeding device scheduling model library, and the operation data of the feeding device for real-time water conservancy and hydropower construction and the real-time water conservancy and hydropower construction feeding tasks are matched with the retrieval matching information, and data processing is performed according to the optimized feeding device scheduling model obtained by matching to obtain an optimized feeding device scheduling task command.
[0101] The feed scheduling optimization unit plays a vital role in the operation of the entire feeding device. It is mainly responsible for processing, analyzing and optimizing the results of the feeding task. The following is a structured description of the detailed functions of the feed scheduling optimization unit:
[0102] Cluster analysis was performed on the results of the mobile feeder, buffer, and concrete feeder task tests. This process helped to discover patterns in the data and identify similar task performances.
[0103] The clustering results of the feeding task detection data obtained through cluster analysis are used to establish the corresponding data processing space of the model to be optimized. The space is classified according to the characteristics of the data to facilitate subsequent optimization processing.
[0104] The data corresponding to the clustering results of the feeding task detection data are stored in sequence in the corresponding data processing space of the model to be optimized, which improves the organization and accessibility of the data.
[0105] In each model data processing space to be optimized, the stored data is used to optimize the feeder scheduling model. This process adjusts the model parameters or structure to improve the model's prediction accuracy and efficiency.
[0106] The optimized feeding device scheduling model is saved in the model library to form an optimized model library. The optimized model library provides a variety of optimized solutions for future feeding tasks.
[0107] Retrieval matching information is established for each model in the optimized feeding device scheduling model library. When new real-time operation data and feeding tasks of the feeding device for water conservancy and hydropower construction are received, the most matching optimization model can be quickly retrieved. According to the matched optimized feeding device scheduling model, the new operation data and feeding tasks are processed to generate the optimized feeding device scheduling task command. This process improves the execution efficiency and accuracy of the feeding task.
[0108] The feeding scheduling optimization unit can dynamically optimize the operation of the feeding device, improve its adaptability and efficiency, and thus better meet the complex needs of water conservancy and hydropower construction.
[0109] Specifically, the feeder device for water conservancy and hydropower construction of the present invention, the data acquisition unit is also used for:
[0110] Retrieving historical operation data of the material feeding device for water conservancy and hydropower construction and historical material feeding tasks for water conservancy and hydropower construction, matching the historical material feeding tasks for water conservancy and hydropower construction with the historical operation data of the material feeding device for water conservancy and hydropower construction, and obtaining operation data corresponding to the historical material feeding tasks for water conservancy and hydropower construction;
[0111] The historical material feeding tasks for executing water conservancy and hydropower construction are split into tasks to obtain material feeding tasks corresponding to the mobile material feeding device, the buffer device and the concrete material feeding device;
[0112] Performing data analysis on the historical operation data corresponding to the feeding tasks performed by the mobile feeding device, the historical operation data corresponding to the feeding tasks performed by the buffer device, and the historical operation data corresponding to the feeding tasks performed by the concrete feeding device, to obtain the statistical results of the mobile feeding device operation data, the statistical results of the buffer device operation data, and the statistical results of the concrete feeding device operation data;
[0113] The operating data of the feeding device for water conservancy and hydropower construction and abnormal data in the feeding tasks for water conservancy and hydropower construction are screened out according to the statistical results of the operating data of the mobile feeding device, the buffer device and the concrete feeding device, and simulated filling data are generated according to the statistical results of the operating data of the mobile feeding device, the buffer device and the concrete feeding device to replace the erroneous data, so as to obtain the corrected operating data of the feeding device for water conservancy and hydropower construction.
[0114] Specifically, the data acquisition unit in the feeding device for water conservancy and hydropower construction of the present invention is also responsible for the following functions:
[0115] Historical data matching: retrieve the historical operation data of the feeding device used in water conservancy and hydropower construction and the historical feeding tasks used in water conservancy and hydropower construction, and match the two to find the corresponding device operation data when executing specific historical feeding tasks.
[0116] Task splitting: The historical feeding tasks for water conservancy and hydropower construction that have been executed will be split in detail, specifically into the feeding tasks of the mobile feeding device, buffer device and concrete feeding device, so as to carry out subsequent data analysis.
[0117] Data analysis: Conduct in-depth analysis on the historical operating data of each feeding device (mobile feeding device, buffer device, concrete feeding device) when performing feeding tasks, and obtain statistical results of their respective operating data.
[0118] Abnormal data screening and replacement: Based on the statistical results, the abnormal data in the operation data of the feeding device and the feeding task currently obtained for water conservancy and hydropower construction are identified. The statistical results of historical data are used to generate simulated filling data, and the identified erroneous data are replaced to obtain the corrected operation data to ensure the accuracy and completeness of the data.
[0119] Through these steps, the data acquisition unit not only collects real-time data, but also makes full use of historical data to comprehensively analyze, screen and correct the operating data, providing reliable data support for subsequent scheduling and optimization work.
[0120] Specifically, the feeding device for water conservancy and hydropower construction of the present invention, the feeding device scheduling unit, comprises:
[0121] The task number is the number of each scheduled task, which is used to track the scheduled tasks and manage the execution of the scheduled tasks;
[0122] The task corresponding device refers to the device corresponding to each scheduling task, so that the scheduling task is assigned to the corresponding device;
[0123] The device scheduling process is the steps of the mobile feeding device, the buffer device and the concrete feeding device when performing the scheduling task;
[0124] The expected result of a scheduling task is the expected goal that should be achieved after the scheduling task is executed.
[0125] Specifically, the feeding device for water conservancy and hydropower construction of the present invention, the feeding task execution unit comprises:
[0126] Mobile feeding device unit: According to the feeding task for water conservancy and hydropower construction, the height of the support rod and the telescopic rod of the mobile feeding device is adjusted, and the data of the height adjustment of the support rod and the telescopic rod of the mobile feeding device is collected to obtain real-time feedback data of the adjustment of the mobile feeding device.
[0127] Specifically, the feeding device for water conservancy and hydropower construction of the present invention, the feeding task execution unit comprises:
[0128] Buffer device unit: used to collect geological conditions of water conservancy and hydropower construction and the degree of shaking of the water conservancy and hydropower construction environment, and adjust the tightness of the spring and the position of the slider according to the scheduling task command of the feeding device, and collect the tightness of the spring and the position of the slider after the buffer device is adjusted to obtain real-time feedback data on the adjustment of the buffer device.
[0129] Specifically, the feeding device for water conservancy and hydropower construction of the present invention, the feeding task execution unit comprises:
[0130] Concrete feeding device unit: Determine the proportion and viscosity of concrete for water conservancy and hydropower construction according to the feeding task for water conservancy and hydropower construction, adjust the speed of the mixing motor of the concrete feeding device and the movement mode of the mixing paddle of the concrete feeding device according to the proportion and viscosity of concrete for water conservancy and hydropower construction, and generate real-time operation data of the concrete feeding device.
[0131] Specifically, the feeding device for water conservancy and hydropower construction of the present invention, the feeding task detection unit is also used for:
[0132] Extracting the expected result of the scheduling task from the scheduling task command of the feeding device, the expected result of the scheduling task includes the expected completion time, the expected material processing efficiency, and the expected equipment operation status;
[0133] The mobile feeding device operation task detection results, the buffer device operation task detection results and the concrete feeding device operation task detection results are compared and analyzed with the expected results of the scheduling task to compare whether the material processing volume meets the standards and whether there are any faults in the operating status, and the scheduling task comparison results are obtained. The scheduling task comparison results include time delays, material shortages or surpluses, and equipment failures.
[0134] Firstly, the expected result of the scheduling task is extracted from the scheduling task command of the feeding device. The expected result of the scheduling task specifically includes the expected completion time, the expected material handling efficiency and the expected equipment operation status.
[0135] Subsequently, the feeding task detection unit compares and analyzes the operation task detection results of the mobile feeding device, buffer device and concrete feeding device with these expected results. The main contents of the comparison include whether the material processing volume meets the standard (i.e. whether the actual amount of material processed meets the expectation) and whether there is any fault in the operation status.
[0136] The feeding task detection unit obtains the comparison results of the scheduling tasks. The comparison results of the scheduling tasks specifically include whether the time is delayed (i.e. whether the actual completion time exceeds expectations), whether there is a shortage or surplus of materials (i.e. whether the actual material processing volume is consistent with expectations), and whether the equipment fails (i.e. whether the equipment maintains the expected operating status).
[0137] These detailed feedbacks provided by the feeding task detection unit are crucial for monitoring the operating status of the feeding device and the execution of the feeding task, helping to detect potential problems in a timely manner and make corresponding adjustments and optimizations.
[0138] In summary, the feeding task detection unit can comprehensively evaluate the execution efficiency and accuracy of the feeding device and the feeding task by comparing the actual execution results with the expected results, and provide strong data support for subsequent scheduling optimization.
[0139] Specifically, the feeder device for water conservancy and hydropower construction of the present invention, the feeder scheduling optimization unit is also used for:
[0140] Obtain the operation task detection results of the mobile feeding device, buffer device, and concrete feeding device from the feeding task detection unit, and extract the task completion time characteristics, material processing volume characteristics, and equipment operation status characteristics;
[0141] Apply clustering algorithm to perform cluster analysis on task completion time characteristics, material handling volume characteristics, and equipment operation status characteristics to obtain cluster analysis results, and establish a corresponding model data processing space to be optimized for each category in the cluster analysis results;
[0142] The data of each cluster is stored in the corresponding data processing space of the model to be optimized, and the feeding device scheduling model is optimized using the stored data in the data processing space of the model to be optimized.
[0143] Specifically, the feed scheduling optimization unit of the feed device for water conservancy and hydropower construction described in the present invention plays a key role in the feedback data processing and optimization process after the task is executed. The following are the main functions and processes of the feed scheduling optimization unit:
[0144] The operation task detection results of the mobile feeding device, the buffer device and the concrete feeding device are obtained from the feeding task detection unit.
[0145] Extract the task completion time characteristics, material handling volume characteristics, and equipment operating status characteristics from these task results.
[0146] Apply clustering algorithm to cluster the extracted features and get the clustering analysis results. The purpose of this step is to identify similar patterns and potential problem categories in task execution.
[0147] For each category in the cluster analysis results, a corresponding model data processing space to be optimized is established. This ensures that the data of each category can be optimized in a targeted manner.
[0148] The data of each cluster is stored in the corresponding data processing space of the model to be optimized. This is conducive to accurately obtaining relevant data when optimizing the model later.
[0149] In each model data processing space to be optimized, the stored data is used to optimize the feeding device scheduling model. This step is the core work of the feeding scheduling optimization unit. Through continuous optimization, the prediction accuracy and scheduling efficiency of the model can be improved.
[0150] The optimized scheduling model of the feeding device is saved in the model library to form an optimized model library. When encountering a new scheduling task, the appropriate optimization model can be quickly retrieved from the model library for application.
[0151] Through these steps, the feed scheduling optimization unit can analyze and optimize the feedback data during the execution of the feed task in real time, thereby continuously improving the scheduling efficiency and accuracy of the feed device. This dynamic optimization mechanism enables the present invention to better adapt to the complex and changeable water conservancy and hydropower construction environment.
[0152] Specifically, the feeder device for water conservancy and hydropower construction of the present invention, the feeder scheduling optimization unit is also used for:
[0153] Arrange the data clustering results generated by the feeding task detection unit, the data clustering results including the operation task detection results of the mobile feeding device, the buffer device and the concrete feeding device;
[0154] Classify the data according to the clustering results to obtain normal data, abnormal data, and low efficiency data, and store them in the established data processing space of the model to be optimized:
[0155] In the data processing space, the stored data is deeply analyzed to identify the operation data of the feeding device, the scheduling data of the feeding task, and the feedback data after the task is executed. The scheduling model of the feeding device is optimized to generate an optimized model library, and the optimized scheduling model of the feeding device is saved in the model library.
[0156] When receiving new operation data and feeding tasks of feeding devices for water conservancy and hydropower construction, the corresponding optimization model is quickly retrieved from the model library to obtain the model retrieval matching results;
[0157] According to the model retrieval matching results, the matching scheduling model is selected to process the data, and the optimized feeding device scheduling instructions are generated.
[0158] Specifically, the functions and effects of the material dispatching optimization unit of the material feeding device for water conservancy and hydropower construction of the present invention include the following aspects:
[0159] The feeding scheduling optimization unit will first sort out the data clustering results generated by the feeding task detection unit. These data clustering results cover the operation task detection results of the mobile feeding device, buffer device and concrete feeding device.
[0160] Next, the optimization unit will classify the data into normal data, abnormal data, and low-efficiency data based on the clustering results. These classified data will be stored in the established data processing space of the model to be optimized for subsequent analysis and processing.
[0161] In the data processing space, the feed scheduling optimization unit conducts in-depth analysis of the stored data. This step aims to identify key information and patterns in the operation data of the feeder, the scheduling data of the feeder task, and the feedback data after the task is executed.
[0162] Based on the results of the in-depth analysis, the optimization unit will optimize the current feeder scheduling model. This process aims to improve the model's prediction accuracy and adaptability to better meet the needs of actual construction.
[0163] The optimized feeding device scheduling model will be saved in the model library to form an optimized model library. This model library provides a variety of optimized solutions for future feeding tasks.
[0164] When receiving new operation data and feeding tasks of feeding devices for water conservancy and hydropower construction, the feeding scheduling optimization unit can quickly retrieve the most suitable optimization model from the model library. This step significantly improves the efficiency of data processing and task scheduling.
[0165] Finally, based on the search and matching results, the optimization unit will select the matching scheduling model to process the new operation data and feeding tasks, and generate optimized feeding device scheduling instructions. The optimized feeding device scheduling instructions will guide the feeding device to perform tasks more efficiently and accurately.
[0166] Through the above steps, the material feeding scheduling optimization unit realizes the continuous optimization and improvement of the scheduling process of the material feeding device, thereby improving the overall operation efficiency and adaptability of the material feeding device used in water conservancy and hydropower construction.
[0167] Second, see Figure 2 The present invention provides a material feeding method for water conservancy and hydropower construction, which is applied to the material feeding device for water conservancy and hydropower construction as described above, comprising:
[0168] Step S101, obtaining operation data of a material feeding device for water conservancy and hydropower construction and material feeding tasks for water conservancy and hydropower construction, wherein the operation data of a material feeding device for water conservancy and hydropower construction includes operation data of a mobile material feeding device, operation data of a buffer device and operation data of a concrete material feeding device, and the material feeding tasks for water conservancy and hydropower construction include material demand tasks, material transportation tasks, material allocation tasks, material use monitoring tasks and material replenishment tasks;
[0169] Step S102, substituting the operation data of the material feeding device for water conservancy and hydropower construction and the material feeding task for water conservancy and hydropower construction into a preset material feeding device scheduling model, generating a material feeding device scheduling task command, the material feeding device scheduling task command including a task number, a task corresponding device, a device scheduling process and an expected result of the scheduling task;
[0170] Step S103, according to the device scheduling process and the device corresponding to the task in the feeding device scheduling task command, the corresponding mobile feeding device operation task, buffer device operation task and concrete feeding device operation task in the device scheduling process are generated, and the mobile feeding device operation task, buffer device operation task and concrete feeding device operation task are sent to the corresponding device to obtain the device execution task feedback data;
[0171] Step S104, comparing the feedback data of the device execution task with the expected result of the scheduling task to obtain the scheduling task comparison result, and generating the feeding task detection result according to the task comparison result, the feeding task detection result includes the mobile feeding device operation task detection result, the buffer device operation task detection result and the concrete feeding device operation task detection result;
[0172] Step S105, cluster analysis is performed on the mobile feeding device operation task detection results, the buffer device operation task detection results and the concrete feeding device operation task detection results to obtain the feeding task detection data clustering results, and a corresponding data processing space for the model to be optimized is established according to the feeding task detection data clustering results, and the data corresponding to the feeding task detection data clustering results are sequentially stored in the model data processing space to be optimized, and the feeding device scheduling model is optimized in the model data processing space to be optimized to obtain an optimized feeding device scheduling model library, and retrieval matching information is established for each optimized feeding device scheduling model in the optimized feeding device scheduling model library, and the operation data of the feeding device for real-time water conservancy and hydropower construction and the real-time water conservancy and hydropower construction feeding tasks obtained are matched with the retrieval matching information, and data processing is performed according to the optimized feeding device scheduling model obtained by matching to obtain an optimized feeding device scheduling task command.
[0173] In order to solve the problem that the existing material supply control method for water conservancy and hydropower construction cannot be automatically adaptively adjusted according to site conditions and construction requirements, thereby resulting in reduced supply efficiency, the technical solution of the present invention has adopted a number of innovative measures.
[0174] First, the data acquisition unit collects the operation data and feeding task information of the feeding device in real time and performs preprocessing to ensure the accuracy and completeness of the data, which provides a reliable data basis for subsequent dynamic scheduling.
[0175] Secondly, the feeding device scheduling unit is used to substituted real-time and historical data into the preset scheduling model to generate scheduling task commands that can dynamically adapt to different site conditions and construction needs, thereby improving the feeding device's ability to be flexibly adjusted according to actual conditions.
[0176] Next, the feeding task execution unit will generate and execute specific operation tasks according to the scheduling command, and collect feedback data for subsequent analysis and optimization, realizing timely execution of tasks and continuous collection of data.
[0177] Then, the feeding task detection unit compares the feedback data with the expected results to identify problems in task execution. The feeding scheduling optimization unit performs cluster analysis on the detection results and uses the stored data to optimize the scheduling model to generate an optimized model library, which helps to improve the accuracy and adaptability of the scheduling model.
[0178] Finally, for new feeding device operation data and feeding tasks, the present invention can quickly retrieve the appropriate scheduling model from the optimized model library, and apply the model to process the new data to generate optimized scheduling task commands. This step realizes automated adaptive adjustment, so that the feeding device can continue to operate efficiently.
[0179] To sum up, the technical solution of the present invention can adjust the scheduling and execution strategy of the feeding device in real time according to site conditions and construction needs through the synergistic effect of multiple links such as data acquisition and preprocessing, dynamic scheduling and task generation, task execution and feedback, task detection and optimization, model matching and instruction generation, thereby significantly improving the supply efficiency of the feeding device used in water conservancy and hydropower construction.
[0180] Obviously, those skilled in the art can make various changes and modifications to the present invention without departing from the spirit and scope of the present invention. Thus, if these modifications and variations of the present invention fall within the scope of the claims of the present invention and their equivalents, the present invention is also intended to include these modifications and variations, and the above-described embodiments of the present invention do not constitute a limitation on the scope of protection of the present invention.
Claims
1. A feeding device for water conservancy and hydropower construction, characterized in that: include: Data acquisition unit: used to acquire the operation data of the material feeding device for water conservancy and hydropower construction and the material feeding tasks for water conservancy and hydropower construction. The operation data of the material feeding device for water conservancy and hydropower construction includes the operation data of the mobile material feeding device, the operation data of the buffer device and the operation data of the concrete material feeding device. The material feeding tasks for water conservancy and hydropower construction include the material demand tasks, the material transportation tasks, the material allocation tasks, the material use monitoring tasks and the material replenishment tasks; A feeding device scheduling unit is used to substitute the operation data of the feeding device for water conservancy and hydropower construction and the feeding task for water conservancy and hydropower construction into a preset feeding device scheduling model to generate a feeding device scheduling task command, wherein the feeding device scheduling task command includes a task number, a task corresponding device, a device scheduling process and an expected result of the scheduling task; Feeding task execution unit: according to the device scheduling process and the task corresponding device in the feeding device scheduling task command, generates the corresponding mobile feeding device operation task, buffer device operation task and concrete feeding device operation task in the device scheduling process, sends the mobile feeding device operation task, buffer device operation task and concrete feeding device operation task to the corresponding device, and obtains the device execution task feedback data; Feeding task detection unit: compares the feedback data of the device execution task with the expected result of the scheduling task to obtain the scheduling task comparison result, and generates the feeding task detection result according to the task comparison result. The feeding task detection result includes the mobile feeding device operation task detection result, the buffer device operation task detection result and the concrete feeding device operation task detection result; Feeding scheduling optimization unit: cluster analysis is performed on the mobile feeding device operation task detection results, the buffer device operation task detection results and the concrete feeding device operation task detection results to obtain the feeding task detection data clustering results, and the corresponding model data processing space to be optimized is established according to the feeding task detection data clustering results, and the data corresponding to the feeding task detection data clustering results are stored in sequence in the model data processing space to be optimized, and the feeding device scheduling model is optimized in the model data processing space to be optimized to obtain an optimized feeding device scheduling model library, and retrieval matching information is established for each optimized feeding device scheduling model in the optimized feeding device scheduling model library, and the operation data of the feeding device for real-time water conservancy and hydropower construction and the real-time water conservancy and hydropower construction feeding tasks are matched with the retrieval matching information, and data processing is performed according to the optimized feeding device scheduling model obtained by matching to obtain an optimized feeding device scheduling task command.
2. The material feeding device for water conservancy and hydropower construction according to claim 1, characterized in that: The data acquisition unit is further used for: Retrieving historical operation data of the material feeding device for water conservancy and hydropower construction and historical material feeding tasks for water conservancy and hydropower construction, matching the historical material feeding tasks for water conservancy and hydropower construction with the historical operation data of the material feeding device for water conservancy and hydropower construction, and obtaining operation data corresponding to the historical material feeding tasks for water conservancy and hydropower construction; The historical material feeding tasks for executing water conservancy and hydropower construction are split into tasks to obtain material feeding tasks corresponding to the mobile material feeding device, the buffer device and the concrete material feeding device; Performing data analysis on the historical operation data corresponding to the feeding tasks performed by the mobile feeding device, the historical operation data corresponding to the feeding tasks performed by the buffer device, and the historical operation data corresponding to the feeding tasks performed by the concrete feeding device, to obtain the statistical results of the mobile feeding device operation data, the statistical results of the buffer device operation data, and the statistical results of the concrete feeding device operation data; The operating data of the feeding device for water conservancy and hydropower construction and abnormal data in the feeding tasks for water conservancy and hydropower construction are screened out according to the statistical results of the operating data of the mobile feeding device, the buffer device and the concrete feeding device, and simulated filling data are generated according to the statistical results of the operating data of the mobile feeding device, the buffer device and the concrete feeding device to replace the erroneous data, so as to obtain the corrected operating data of the feeding device for water conservancy and hydropower construction.
3. The material feeding device for water conservancy and hydropower construction according to claim 1, characterized in that: The feeding device scheduling unit comprises: The task number is the number of each scheduled task, which is used to track the scheduled tasks and manage the execution of the scheduled tasks; The task corresponding device refers to the device corresponding to a scheduling task, so that the scheduling task is assigned to the corresponding device; The device scheduling process is the steps of the mobile feeding device, the buffer device and the concrete feeding device when performing the scheduling task; The expected result of a scheduling task is the expected goal that should be achieved after the scheduling task is executed.
4. The material feeding device for water conservancy and hydropower construction according to claim 1, characterized in that: The feeding task execution unit comprises: Mobile feeding device unit: According to the feeding task for water conservancy and hydropower construction, the height of the support rod and the telescopic rod of the mobile feeding device is adjusted, and the data of the height adjustment of the support rod and the telescopic rod of the mobile feeding device is collected to obtain real-time feedback data of the adjustment of the mobile feeding device.
5. The material feeding device for water conservancy and hydropower construction as claimed in claim 4, characterized in that: The feeding task execution unit comprises: Buffer device unit: used to collect geological conditions of water conservancy and hydropower construction and the degree of shaking of the water conservancy and hydropower construction environment, and adjust the tightness of the spring and the position of the slider according to the scheduling task command of the feeding device, and collect the tightness of the spring and the position of the slider after the buffer device is adjusted to obtain real-time feedback data on the adjustment of the buffer device.
6. The material feeding device for water conservancy and hydropower construction as claimed in claim 5, characterized in that: The feeding task execution unit comprises: Concrete feeding device unit: Determine the proportion and viscosity of concrete for water conservancy and hydropower construction according to the feeding task for water conservancy and hydropower construction, adjust the speed of the mixing motor of the concrete feeding device and the movement mode of the mixing paddle of the concrete feeding device according to the proportion and viscosity of concrete for water conservancy and hydropower construction, and generate real-time operation data of the concrete feeding device.
7. The material feeding device for water conservancy and hydropower construction according to claim 1, characterized in that: The feeding task detection unit is also used for: Extracting the expected result of the scheduling task from the scheduling task command of the feeding device, the expected result of the scheduling task includes the expected completion time, the expected material processing efficiency and the expected equipment operation status; The mobile feeding device operation task detection results, the buffer device operation task detection results and the concrete feeding device operation task detection results are compared and analyzed with the expected results of the scheduling task to compare whether the material processing volume meets the standards and whether there are any faults in the operating status, and the scheduling task comparison results are obtained. The scheduling task comparison results include time delays, material shortages or surpluses, and equipment failures.
8. The material feeding device for water conservancy and hydropower construction as claimed in claim 1, characterized in that: The feed scheduling optimization unit is also used for: Obtain the operation task detection results of the mobile feeding device, buffer device, and concrete feeding device from the feeding task detection unit, and extract the task completion time characteristics, material processing volume characteristics, and equipment operation status characteristics; Apply clustering algorithm to perform cluster analysis on task completion time characteristics, material handling volume characteristics, and equipment operation status characteristics to obtain cluster analysis results, and establish a corresponding model data processing space to be optimized for each category in the cluster analysis results; The data of each cluster is stored in the corresponding data processing space of the model to be optimized, and the feeding device scheduling model is optimized using the stored data in the data processing space of the model to be optimized.
9. The material feeding device for water conservancy and hydropower construction as claimed in claim 1, characterized in that: The feed scheduling optimization unit is also used for: Arrange the data clustering results generated by the feeding task detection unit, the data clustering results including the operation task detection results of the mobile feeding device, the buffer device and the concrete feeding device; Classify the data according to the clustering results to obtain normal data, abnormal data, and low efficiency data, and store them in the established data processing space of the model to be optimized: In the data processing space, the stored data is deeply analyzed to identify the operation data of the feeding device, the scheduling data of the feeding task, and the feedback data after the task is executed, and the scheduling model of the feeding device is optimized to generate an optimized model library, and the optimized scheduling model of the feeding device is saved in the model library; When receiving new operation data and feeding tasks of feeding devices for water conservancy and hydropower construction, the corresponding optimization model is quickly retrieved from the model library to obtain the model retrieval matching results; According to the model retrieval matching results, the matching scheduling model is selected to process the data, and the optimized feeding device scheduling instructions are generated.
10. A material feeding method for water conservancy and hydropower construction, applied to the material feeding device for water conservancy and hydropower construction as claimed in any one of claims 1 to 9, characterized in that: include: Step S101, obtaining operation data of a material feeding device for water conservancy and hydropower construction and material feeding tasks for water conservancy and hydropower construction, wherein the operation data of a material feeding device for water conservancy and hydropower construction includes operation data of a mobile material feeding device, operation data of a buffer device and operation data of a concrete material feeding device, and the material feeding tasks for water conservancy and hydropower construction include material demand tasks, material transportation tasks, material allocation tasks, material usage monitoring tasks and material replenishment tasks; Step S102, substituting the operation data of the material feeding device for water conservancy and hydropower construction and the material feeding task for water conservancy and hydropower construction into a preset material feeding device scheduling model, generating a material feeding device scheduling task command, the material feeding device scheduling task command including a task number, a task corresponding device, a device scheduling process and an expected result of the scheduling task; Step S103, according to the device scheduling process and the device corresponding to the task in the feeding device scheduling task command, the corresponding mobile feeding device operation task, buffer device operation task and concrete feeding device operation task in the device scheduling process are generated, and the mobile feeding device operation task, buffer device operation task and concrete feeding device operation task are sent to the corresponding device to obtain the device execution task feedback data; Step S104, comparing the feedback data of the device execution task with the expected result of the scheduling task to obtain the scheduling task comparison result, and generating the feeding task detection result according to the task comparison result, the feeding task detection result includes the mobile feeding device operation task detection result, the buffer device operation task detection result and the concrete feeding device operation task detection result; Step S105, cluster analysis is performed on the mobile feeding device operation task detection results, the buffer device operation task detection results and the concrete feeding device operation task detection results to obtain the feeding task detection data clustering results, and a corresponding data processing space for the model to be optimized is established according to the feeding task detection data clustering results, and the data corresponding to the feeding task detection data clustering results are sequentially stored in the model data processing space to be optimized, and the feeding device scheduling model is optimized in the model data processing space to be optimized to obtain an optimized feeding device scheduling model library, and retrieval matching information is established for each optimized feeding device scheduling model in the optimized feeding device scheduling model library, and the operation data of the feeding device for real-time water conservancy and hydropower construction and the real-time water conservancy and hydropower construction feeding tasks obtained are matched with the retrieval matching information, and data processing is performed according to the optimized feeding device scheduling model obtained by matching to obtain an optimized feeding device scheduling task command.